CN117236563A - Emergency command scheduling method and system for offshore wind power construction process - Google Patents
Emergency command scheduling method and system for offshore wind power construction process Download PDFInfo
- Publication number
- CN117236563A CN117236563A CN202311361935.8A CN202311361935A CN117236563A CN 117236563 A CN117236563 A CN 117236563A CN 202311361935 A CN202311361935 A CN 202311361935A CN 117236563 A CN117236563 A CN 117236563A
- Authority
- CN
- China
- Prior art keywords
- equipment
- construction
- time
- construction operation
- time window
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000010276 construction Methods 0.000 title claims abstract description 225
- 238000000034 method Methods 0.000 title claims abstract description 89
- 230000008569 process Effects 0.000 title claims abstract description 33
- 238000013439 planning Methods 0.000 claims abstract description 33
- 238000007726 management method Methods 0.000 claims abstract description 15
- 238000009825 accumulation Methods 0.000 claims description 16
- 238000012544 monitoring process Methods 0.000 claims description 16
- 230000015654 memory Effects 0.000 claims description 14
- 238000012216 screening Methods 0.000 claims description 13
- 238000003860 storage Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 11
- 239000000446 fuel Substances 0.000 claims description 10
- 238000000605 extraction Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 5
- 238000012423 maintenance Methods 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 7
- 230000004044 response Effects 0.000 description 6
- 230000009286 beneficial effect Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 239000002699 waste material Substances 0.000 description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000010485 coping Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000013468 resource allocation Methods 0.000 description 2
- 102220619039 28S ribosomal protein S12, mitochondrial_S61E_mutation Human genes 0.000 description 1
- 102220605052 Histone H4-like protein type G_S61A_mutation Human genes 0.000 description 1
- 102220479869 Protein FAM180A_S62A_mutation Human genes 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 102220347773 c.185C>G Human genes 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 102220053041 rs543765307 Human genes 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000012384 transportation and delivery Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
- 230000003245 working effect Effects 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of scheduling management, in particular to an emergency command scheduling method and system for an offshore wind power construction process, which improve the reliability and maintainability of projects and ensure that the projects are completed on time; the method is applied to a wind power construction command and dispatch platform, wherein the wind power construction command and dispatch platform comprises an Internet of things information acquisition module and an equipment database, and the method comprises the following steps: acquiring real-time operation information which is being implemented by fault equipment according to an information acquisition module of the Internet of things; extracting key information from the real-time operation information to obtain the type of the construction operation, the planning time window of the construction operation, the completion progress of the construction operation and the construction operation site; calculating to obtain a residual time window and residual workload of the construction operation according to the construction operation planning time window and the construction operation completion progress; traversing the equipment database based on the construction operation type, extracting first-order applicable equipment suitable for the construction operation type, and summarizing all the first-order applicable equipment.
Description
Technical Field
The invention relates to the technical field of dispatching management, in particular to an emergency command dispatching method and system for offshore wind power construction process.
Background
Offshore wind power construction is a renewable energy project that uses offshore wind resources to generate electricity, and this project typically involves installing wind power generation units offshore, converting wind energy into electrical energy, and then delivering the electrical energy to an onshore power grid via submarine cables.
When a wind generating set is built, a perfect emergency command scheduling method is needed to cope with various emergency conditions in order to finish the building work in a planned construction period; when the existing emergency command scheduling method is used for coping with sudden faults of equipment for construction, equipment in an idle state at the current time is selected subjectively to be called, and a unified scheduling standard does not exist, so that the scheduling cost of the equipment is difficult to control; therefore, an emergency command and dispatch method suitable for the offshore wind power construction process of sudden faults of construction equipment is needed.
Disclosure of Invention
In order to solve the technical problems, the invention provides the emergency command scheduling method for the offshore wind power construction process, which improves the reliability and maintainability of the project and ensures the on-time completion of the project.
In a first aspect, the invention provides an emergency command and dispatch method for an offshore wind power construction process, which is applied to a wind power construction command and dispatch platform, wherein the wind power construction command and dispatch platform comprises an information acquisition module of the Internet of things and an equipment database, and the method comprises the following steps:
acquiring real-time operation information which is being implemented by fault equipment according to an information acquisition module of the Internet of things;
extracting key information from the real-time operation information to obtain the type of the construction operation, the planning time window of the construction operation, the completion progress of the construction operation and the construction operation site;
calculating to obtain a residual time window and residual workload of the construction operation according to the construction operation planning time window and the construction operation completion progress;
traversing the equipment database based on the construction operation type, extracting first-order applicable equipment suitable for the construction operation type, and summarizing all first-order applicable equipment to obtain a first-order applicable equipment set;
traversing the first-order applicable equipment set based on the residual time window, extracting second-order applicable equipment capable of meeting the operation time requirement, and summarizing all the second-order applicable equipment to obtain a second-order applicable equipment set;
Calculating the dispatching cost and dispatching time consumption of each second-order applicable device transported to the construction operation site based on the construction operation site; carrying out serialization adjustment on all second-order applicable devices according to the scheduling cost to obtain a device scheduling sequence; in the equipment scheduling sequence, the lower the scheduling cost is, the higher the ranking is;
according to the scheduling time consumption, calculating the workload which can be provided by each second-order applicable device in the residual time window, and marking the workload of the second-order applicable devices in the device scheduling sequence;
and accumulating the workload of the second-order applicable equipment in the equipment scheduling sequence until the accumulation result is not less than the residual workload of the construction operation, and taking the second-order applicable equipment participating in accumulation as the optimal applicable equipment to participate in scheduling work.
Further, the working steps of the information acquisition module of the internet of things comprise:
deploying sensors on each construction equipment, wherein each sensor comprises a position sensor, a state sensor and monitoring equipment;
transmitting the collected data to a central data processor through a communication system;
the central data processor receives and analyzes the real-time data and identifies the fault condition, working progress and position of the equipment;
When the central data processor detects a faulty device, an alarm is generated and the relevant operating and management personnel are notified.
Further, the method for calculating the residual time window and the residual workload of the construction job comprises the following steps:
the construction operation planning time window comprises project start time and project finish time of construction operation, real-time operation information acquired by the information acquisition module of the Internet of things comprises real-time acquisition time, and the calculation method of the used time is as follows:
elapsed time = real-time acquisition time-project start time
The remaining time window is calculated by the following method:
remaining time window = planning time window-elapsed time;
the remaining workload is calculated by the following method:
remaining work amount = total work amount-construction job completion progress.
Further, the first-order applicable device set acquisition method includes:
the construction operation type is clarified;
accessing a device database, wherein the device database comprises information of all devices used for projects, and the device information comprises specifications, technical parameters, maintenance records and current states of the devices;
screening out equipment related to the type of construction operation according to the type of construction operation;
collecting the screened equipment into a first-order applicable equipment set;
The first-order applicable device set is consolidated to create a data structure including device name, specification and availability.
Further, the second-order applicable device set acquisition method includes:
acquiring a remaining time window and a first-order applicable device set;
traversing the first-order applicable equipment set to determine equipment meeting the working time requirement;
the selected device is added to the second order applicable device set.
Further, the dispatch cost influencing factors include transportation cost, transportation distance, fuel cost, labor cost, and equipment rental cost.
Further, the method for calculating the work amount which can be provided by each second-order applicable device in the remaining time window comprises the following steps:
defining the property of construction operation, including the specific requirement of work, required skill and resource;
the performance and efficiency of each second-order applicable device are determined, wherein the performance and efficiency comprise the working speed, the working quality and the resource utilization rate of the device;
subtracting the scheduling time from the remaining time window to obtain a remaining effective construction time window;
multiplying the remaining effective construction time window by the working speed of each second-order applicable device to obtain the workload which can be provided by each second-order applicable device;
Corresponding workload markers are performed in the device scheduling sequence, associating a workload value with each device.
On the other hand, the application also provides an emergency command and dispatch system for the offshore wind power construction process, which comprises the following steps:
the information acquisition module of the Internet of things is used for acquiring real-time operation information of the fault equipment and sending the real-time operation information;
the information extraction module is used for receiving real-time operation information of the fault equipment, processing the real-time operation information, extracting construction operation type, construction operation planning time window, construction operation completion progress and construction operation place, and sending the construction operation type, the construction operation planning time window, the construction operation completion progress and the construction operation place;
the construction residual time and work amount calculating module is used for receiving the extracted construction job planning time window and construction job completion progress, calculating to obtain the residual time window and residual work amount of the construction job according to the construction job planning time window and the construction job completion progress, and sending the residual time window and the residual work amount;
the first-order screening module of the applicable equipment is used for receiving the extracted construction operation type, traversing a preset equipment database based on the construction operation type, extracting first-order applicable equipment applicable to the construction operation type, summarizing all the first-order applicable equipment, obtaining a first-order applicable equipment set and sending the first-order applicable equipment set;
The second-order screening module of the applicable equipment is used for receiving a remaining time window and a first-order applicable equipment set of construction operation, traversing the first-order applicable equipment set based on the remaining time window, extracting second-order applicable equipment capable of meeting the operation time requirement, summarizing all the second-order applicable equipment, obtaining a second-order applicable equipment set, and sending;
the equipment scheduling sequence generation module is used for receiving the extracted construction operation site and the second-order applicable equipment set, and calculating the scheduling cost and scheduling time consumption of each second-order applicable equipment transported to the construction operation site; carrying out serialization adjustment on all second-order applicable devices according to the scheduling cost to obtain a device scheduling sequence, and transmitting the device scheduling sequence;
the workload marking module is used for receiving the equipment scheduling sequence, calculating the workload which can be provided by each second-order applicable equipment in the residual time window according to the scheduling time consumption information in the equipment scheduling sequence, marking the workload of the second-order applicable equipment in the equipment scheduling sequence and sending the workload;
and the equipment determining module is used for receiving the equipment scheduling sequence marked with the workload, accumulating the workload of the second-order applicable equipment in the equipment scheduling sequence until the accumulation result is not less than the residual workload of the construction job, and taking the second-order applicable equipment participating in accumulation as the optimal applicable equipment to participate in the scheduling work.
In a third aspect, the present application provides an electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, the computer program when executed by the processor implementing the steps of any of the methods described above.
In a fourth aspect, the application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of any of the methods described above.
Compared with the prior art, the application has the beneficial effects that: the real-time operation information of the fault equipment can be timely obtained through the information acquisition module of the Internet of things, so that the emergency response speed is improved and the emergency situation is rapidly dealt with; the automatic calculation and decision process in the method reduces subjective intervention, improves objectivity and consistency of decision, can avoid the problem of subjective selection equipment and ensures scientific decision;
the scheduling cost and time consumption of the equipment are calculated, so that the scheduling of the equipment can be optimized, the cost is reduced, the construction time is shortened, and the economy and efficiency of projects are improved; the workload marking facilitates the definition of the workload of each device within the construction time window, thereby determining the best applicable device, which ensures the effective allocation of work and the optimization of resource utilization; the automatic characteristic and the real-time data acquisition speed are increased, the proper equipment can be quickly scheduled when equipment faults or other problems occur, and therefore the downtime and loss are reduced to the greatest extent;
The method introduces unified scheduling standard, avoids the deviation of subjective selection equipment, and improves the consistency and accuracy of scheduling decision;
in summary, when handling emergency and faults in offshore wind power construction projects, an automatic and standardized method is provided to improve emergency response, resource utilization efficiency and cost control, further improve project reliability and maintainability, and ensure project completion on time.
Drawings
FIG. 1 is a flow chart of the present application;
FIG. 2 is a flow chart of the operation of the information acquisition module of the Internet of things;
FIG. 3 is a flow chart of a first order applicable device set acquisition method;
FIG. 4 is a flow chart of a second order applicable device set acquisition method;
FIG. 5 is a flow chart of a method of calculating the work that each second order applicable device can provide during the remaining time window;
FIG. 6 is a block diagram of an emergency command dispatch system for offshore wind power construction.
Description of the embodiments
In the description of the present application, those skilled in the art will appreciate that the present application may be embodied as methods, apparatus, electronic devices, and computer-readable storage media. Accordingly, the present application may be embodied in the following forms: complete hardware, complete software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, the application may also be embodied in the form of a computer program product in one or more computer-readable storage media, which contain computer program code.
Any combination of one or more computer-readable storage media may be employed by the computer-readable storage media described above. The computer-readable storage medium includes: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer readable storage medium include the following: portable computer magnetic disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disk read-only memories, optical storage devices, magnetic storage devices, or any combination thereof. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, device.
The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws.
The application provides a method, a device and electronic equipment through flow charts and/or block diagrams.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer readable program instructions may also be stored in a computer readable storage medium that can cause a computer or other programmable data processing apparatus to function in a particular manner. Thus, instructions stored in a computer-readable storage medium produce an instruction means which implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The present application will be described below with reference to the drawings in the present application.
Examples
As shown in fig. 1 to 5, the emergency command and dispatch method for the offshore wind power construction process is applied to a wind power construction command and dispatch platform, wherein the wind power construction command and dispatch platform comprises an internet of things information acquisition module and an equipment database, and the method comprises the following steps:
S1, acquiring real-time operation information which is being implemented by fault equipment according to an information acquisition module of the Internet of things;
the objective of step S1 is to monitor construction equipment in real time to obtain the actual operation information being executed by the equipment, so that a construction project team can quickly make decisions to cope with equipment faults or other emergency situations; the working steps of the information acquisition module of the Internet of things comprise:
s11, deploying various sensors on each construction equipment, wherein the sensors comprise a position sensor, a state sensor and monitoring equipment, so that the position, the state and the operation condition of the equipment are monitored in real time;
s12, transmitting the acquired data to a central data processor through a communication system, wherein the communication system comprises satellite communication, a 4G/5G network and a local area network, so that timely transmission of the data is ensured;
s13, a central data processor is arranged in a remote data center, receives, stores and analyzes data sent from each construction equipment, analyzes real-time data, and identifies the fault condition, working progress and position of the equipment;
s14, when the central data processor detects the fault equipment, an alarm is generated and relevant operation and management personnel are notified.
In the step, key information of construction equipment is monitored in real time by a project team through deployment of sensors, and the information is sent to a central data processor; the central data processor can analyze the sensor data, quickly identify the fault condition of the equipment, discover problems as soon as possible and reduce the influence of the fault equipment on project progress; by monitoring the progress of the job, the project management team can ensure that the project is scheduled; if delay occurs in construction equipment, measures can be immediately taken to adjust a work plan so as to reduce project delay; knowing the real-time position of the equipment is critical to the scheduling and resource allocation of the construction equipment, so that the scheduling use of the equipment can be optimized, and unnecessary movement and scheduling cost can be reduced;
Once the central data processor detects the fault equipment, an alarm is generated, and related operation and management personnel are notified, so that the problem can be solved by taking action rapidly, the production interruption time is reduced, and the construction period is ensured to be completed smoothly and on time; real-time data is provided, so that a project management team can make intelligent decisions to cope with different conditions, and smooth project progress is ensured;
in summary, the information acquisition module of the internet of things provides an efficient real-time monitoring and data analysis tool for offshore wind power construction projects, which is beneficial to reducing risks and improving efficiency, ensures that the projects are completed according to a plan, improves emergency response capability of the projects, is beneficial to reducing unnecessary downtime, reduces cost, improves maintainability and also improves overall management level.
S2, extracting key information of the real-time operation information to obtain the type of the construction operation, a planning time window of the construction operation, the completion progress of the construction operation and the construction operation site;
the construction job type extraction method comprises the following steps:
a1, deducing the current working type through equipment sensor data;
a2, analyzing the image of the monitoring camera, analyzing the real-time image captured by the monitoring camera by using a computer vision technology, and identifying the type of the ongoing construction work;
A3, analyzing specific fields or parameters in a device state report, wherein the report comprises the working state of the device and the executed task;
the construction job planning time window and construction job completion progress extraction method comprises the following steps:
b1, extracting a planned time window and progress information from the plan management information;
b2, monitoring working hour records of workers, and calculating the progress and time consumption of work;
b3, monitoring the running time of the equipment, and determining the service condition of the equipment and a time window for planning work;
the construction job site extraction method comprises the following steps:
c1, if the equipment is provided with GPS equipment, acquiring GPS coordinates of the equipment, and determining a working place from the GPS coordinates;
c2, correlating the position information of the equipment by using geographic information system data, and determining the accurate geographic position of the equipment;
c3, installing RFID tags at different positions of the workplace, and determining the position of the equipment by using RFID technology; RFID tags include a chip, an antenna, and a housing, a technique for automatically identifying and tracking objects, using radio frequency signals to transmit data to identify, track, and manage objects.
In the step, the current work type is deduced through the equipment sensor data, so that real-time and automatic work type identification can be provided, and a manager can know the specific construction work in progress; the construction work type is identified through the image analysis of the monitoring camera, visual information is provided for real-time work type monitoring, and classification and supervision of construction work are facilitated; the specific fields or parameters in the equipment state report are analyzed, so that additional verification and confirmation can be provided for the real-time work type, and the accuracy and the credibility of identification are enhanced;
The time window and the progress information are extracted from the plan management information, so that the comparison of the plan and the actual progress can be realized, and the supervision of whether the construction progress is carried out according to the plan is facilitated; the working time record of the worker is monitored, the progress and time consumption of the work can be calculated in real time, and the work progress and time utilization efficiency can be conveniently evaluated; monitoring the running time of the equipment, determining the service condition of the equipment and a time window for planning work, and providing real-time evaluation of the utilization rate of the equipment and optimizing the construction time schedule;
the GPS equipment equipped with the equipment is used for acquiring the GPS coordinates of the equipment, so that accurate positioning of the working place can be realized, and the monitoring and planning of the working task are facilitated; the position information of the equipment is related by using the geographic information system data, so that the accurate positioning of the equipment position is provided, and the monitoring equipment movement and construction area management are facilitated; the RFID tag can be installed to automatically determine the position of the equipment, provide real-time position information, reduce manual intervention and improve monitoring efficiency.
S3, calculating to obtain a residual time window and residual workload of the construction operation according to the construction operation planning time window and the construction operation completion progress;
the method for calculating the residual time window and the residual workload of the construction operation comprises the following steps:
S31, a construction operation planning time window comprises project start time and project finish time of construction operation, and real-time operation information acquired by the information acquisition module of the Internet of things comprises real-time acquisition time, so that the calculation method of the used time is as follows:
elapsed time = real-time acquisition time-project start time
The elapsed time represents the time elapsed since the beginning of the project, in hours, days, or other suitable units of time;
s32, the remaining time window refers to how much time is available for completing the construction work, which is calculated by:
remaining time window = planning time window-elapsed time
The planning time window is a time period specified in the project plan, typically in days. The elapsed time is subtracted from the planning time window to derive a remaining time window representing how much time is available to complete the construction work from the current point in time;
s33, the residual workload refers to the amount of the construction work which is not completed, and is calculated by the following method:
remaining work amount = total work amount-construction job completion progress.
Step S3, according to the operation information collected in real time, timeliness and accuracy of the data are ensured, so that a decision maker can adjust project plans and resource allocation according to the latest information; by calculating the remaining time window, project manager can clearly know how much time is available to complete the construction work starting at the current point in time. This helps to circumvent the time urgency problem, ensuring on-time delivery of the item; calculating the residual workload enables a decision maker to quantify the work load which is not completed, rather than merely relying on subjective estimation, to provide an objective index for monitoring progress of the project;
Based on the calculation results of the remaining time window and the remaining workload, project management personnel can better support decision making, reschedule resources, make temporary plans or adjust the priority of projects according to the information; by knowing clearly the remaining time window and the remaining workload, project management teams can better identify potential risks and challenges to take measures early to mitigate these risks; based on these calculations, the decision maker can effectively allocate resources, ensuring that the resource utilization efficiency of the project is maximized;
in summary, the step S3 provides real-time and quantitative information for project management, which is helpful for optimizing decision making, improving visualization of project progress, reducing risk, and ensuring smooth project progress.
S4, traversing the equipment database based on the construction operation type, extracting first-order applicable equipment suitable for the construction operation type, and summarizing all the first-order applicable equipment to obtain a first-order applicable equipment set;
the first-order applicable device set acquisition method comprises the following steps:
s41, defining construction operation types, including definition and classification of different types of construction work in a wind power project;
S42, accessing a device database, wherein the device database comprises information of all devices used for projects, and the device information comprises specifications, technical parameters, maintenance records and current states of the devices;
s43, screening out equipment related to the construction operation of the type according to the construction operation type;
s44, collecting the screened equipment into a first-order applicable equipment set, wherein the first-order applicable equipment set comprises equipment which can be selected under the current construction operation type;
s45, sorting the first-order applicable equipment set, and creating a data structure which contains key information of the first-order applicable equipment set, including equipment names, specifications and availability.
In the step, the construction operation type is clarified, and the equipment is screened according to the type, so that the selected equipment is ensured to be highly matched with the property and the requirement of the current work, the work efficiency is improved, unnecessary equipment replacement and adaptability adjustment are reduced, and potential problems and delays in the work are reduced; by accessing the equipment database, the information of all available equipment can be obtained rapidly, including specification, technical parameters, maintenance records and current state, so that the most suitable equipment can be conveniently selected from a first-order applicable equipment set, and the scheduling time of the equipment is reduced;
Defining construction job types and equipment screening criteria helps to reduce misunderstanding and mistakes, team can more easily reach consensus after defining working properties, and screening criteria reduces confusion, ensures that only suitable equipment is selected, reduces idle time and cost of equipment.
In summary, the step S4 provides the first-order applicable equipment which is accurately matched with the construction operation type, so that misunderstanding and errors are reduced, the equipment utilization rate is improved, the subsequent scheduling step is simplified, and therefore emergency situations in offshore wind power construction can be effectively dealt with.
S5, traversing the first-order applicable equipment set based on the residual time window, extracting second-order applicable equipment capable of meeting the operation time requirement, and summarizing all the second-order applicable equipment to obtain a second-order applicable equipment set;
the second-order applicable device set acquisition method comprises the following steps:
s51, acquiring a remaining time window and a first-order applicable device set;
s52, traversing the first-order applicable equipment set to determine which equipment meets the working time requirement, wherein the working speed, the capacity and the transportation requirement of the equipment are evaluated, and only equipment capable of completing the work in the remaining time window can be considered as second-order applicable equipment by comparing the working speed of the equipment with the required time window;
S53, adding the selected device to the second-order applicable device set.
In the step, equipment capable of efficiently completing work is conveniently selected by traversing a first-order applicable equipment set and evaluating according to factors such as working speed, capacity, transportation requirements and the like, the utilization of the equipment is optimized, and the efficiency of the whole engineering is improved; by comparing the working speed of the equipment with the remaining time window, the selected second-order applicable equipment can finish the work within the specified time, and the reasonable arrangement of the engineering progress and the satisfaction of the time requirement are ensured;
the equipment capable of efficiently completing the work in the residual time window is selected, so that the overall efficiency of the engineering can be improved, the engineering can be completed on time, and the extra cost and the loss possibly caused by delay are reduced; by judiciously selecting equipment suitable for the remaining time window, unnecessary resource waste can be avoided, and the economic benefit of engineering is improved;
in summary, by reasonably selecting the second-order applicable equipment, the time requirement of the engineering is ensured to be met, the risk is reduced, and the overall efficiency and economic benefit of the engineering are improved.
S6, calculating the dispatching cost and dispatching time consumption of each second-order applicable device transported to the construction operation site based on the construction operation site; carrying out serialization adjustment on all second-order applicable devices according to the scheduling cost to obtain a device scheduling sequence; in the equipment scheduling sequence, the lower the scheduling cost is, the higher the ranking is;
The scheduling cost calculation method comprises the following steps:
s61, clearly defining and considering factors affecting equipment scheduling cost, wherein the affecting factors comprise transportation cost, transportation distance, fuel cost, manpower cost and equipment lease cost;
S61A, transportation tool cost including rental cost of transportation vehicles and ships, maintenance repair cost and insurance cost;
S61B, calculating the distance from the starting point to the destination by the equipment;
S61C, fuel cost, considering fuel cost, determining hundred kilometers fuel consumption and fuel price of a transport vehicle and a ship, wherein fuel cost=transport distance ≡100×hundred kilometers fuel consumption of a transport vehicle×fuel price;
S61E, labor cost, including transport vehicle driver wages, equipment maintainer wages and overtime fees of each person;
S61F, equipment renting cost, equipment renting time and equipment renting rate are determined, and the renting rate is multiplied by the renting time to obtain renting cost;
adding the cost of each influencing factor to obtain the scheduling cost;
the scheduling time consumption calculation method comprises the following steps:
S62A, determining the distance from the current position of each device to a construction operation site, and considering actual traffic conditions including road conditions, traffic jams and the like;
S62B, estimating the average transportation speed of the equipment under different road conditions according to the type of the equipment, the characteristics of the transportation means and the road conditions;
S62C, dividing the transportation distance by the average transportation speed to obtain the time consumption for scheduling;
and carrying out serialization adjustment on all the second-order applicable devices by combining the scheduling cost and the scheduling time consumption to obtain a device scheduling sequence, wherein the lower the cost is, the shorter the time consumption is, and the higher the ranking of the devices is.
In the step, by accurately calculating various costs, the most economical and effective equipment scheduling scheme can be ensured to be selected, so that the total cost is reduced; by considering the distance, road condition and traffic condition, the time consumption of dispatching is calculated, so that equipment near a construction operation site can be ensured to arrive as soon as possible, and project efficiency is improved; by comprehensively considering both cost and time, resources can be better allocated, so that sufficient equipment is ensured to be available at any given moment, and unnecessary resource waste is reduced to the greatest extent;
the second-order applicable equipment set is optimally arranged, and the equipment with the lowest cost and the shortest time consumption is arranged in front, so that the overall efficiency and the production capacity of the project are improved;
in summary, by comprehensively considering factors such as cost and time, the scheduling sequence of the equipment is optimized, so that the efficiency of construction projects is improved, the cost is reduced, and the optimal utilization of resources is ensured.
S7, calculating the workload which can be provided by each second-order applicable device in the residual time window according to the scheduling time consumption, and marking the workload of the second-order applicable devices in the device scheduling sequence;
the method for calculating the work amount which can be provided by each second-order applicable device in the residual time window comprises the following steps:
s71, defining the property of construction operation, including specific requirements of work, required skills and resources;
s72, determining the performance and efficiency of each second-order applicable device, including the working speed, the working quality and the resource utilization rate of the device;
s73, subtracting the scheduling time consumption from the remaining time window to obtain a remaining effective construction time window;
s74, multiplying the remaining effective construction time window by the working speed of each second-order applicable device to obtain the workload which can be provided by each second-order applicable device;
and S75, corresponding workload marks are carried out in the device scheduling sequence, and a workload value is associated with each device so that the marks can be used in a subsequent decision process.
In the step, the system can obtain a residual effective construction time window by subtracting the scheduling time consumption from the residual time window, and in the time window, the workload which can be provided by each device in the residual time window can be accurately calculated, so that the utilization rate of each device is accurately evaluated;
By associating a workload value with each device, the device scheduling sequence is marked, which provides a clear reference to help intelligently select devices in the subsequent decision process, and based on these marks, devices that can provide sufficient workload within the remaining time window are preferentially selected, thereby ensuring that the project can be completed on time; the accurate workload data and equipment marks enable the subsequent decision making process to be more efficient, and a decision maker can quickly make decisions according to the data and select the optimal equipment combination, so that the overall construction efficiency is improved; excessive waste or deficiency of resources can be avoided, the utilization rate of the resources is optimized, and the construction cost is reduced by reasonably distributing the workload in the residual time window;
in summary, the step S7 can ensure that each device can play the largest role in the remaining time window, thereby improving the overall construction efficiency, reducing the cost, and ensuring that the project is completed on time.
S8, carrying out workload accumulation on the second-order applicable equipment in the equipment scheduling sequence until the accumulation result is not less than the residual workload of the construction operation, and taking the second-order applicable equipment participating in accumulation as the optimal applicable equipment to participate in scheduling work;
The workload accumulation method comprises the following steps:
s81, selecting second-order applicable equipment with the top rank from the equipment scheduling sequence;
s82, adding the available workload of the first second-order applicable device to an accumulator;
s83, continuing to select the next ranked second-order applicable device, and adding the available workload of the second-order applicable device into the accumulator;
s84, repeating the steps, and continuously selecting the next applicable equipment until the accumulated workload is not less than the residual workload of the construction operation;
the process of accumulating the workload is used for selecting and determining devices which can work together cooperatively to meet the workload requirements of the project; when the accumulated workload reaches or exceeds the target workload, it can be determined that the devices are best suited devices without continuing the accumulation.
In the step, the workload is gradually accumulated to determine the best applicable equipment, so that equipment resources in the project are effectively distributed, and the proper equipment is conveniently selected to meet the residual workload requirement of the project; by selecting the second-order applicable equipment with the top ranking, the balanced distribution of the work among different equipment is ensured, the excessive burden or idle of some equipment is avoided, and the utilization efficiency of resources is improved; the accumulated workload method is based on the target workload, and once the target workload is reached or exceeded, further accumulation is unnecessary, thereby reducing calculation work and improving planning efficiency; by selecting the best applicable equipment, the resources of the engineering project are conveniently and effectively managed, and the equipment is reasonably allocated in project execution so as to meet the requirements of a time schedule and working quality;
In summary, step S8 intelligently selects and distributes equipment in the engineering project to meet workload demands, improve project efficiency and execution capacity, and reduce waste and unnecessary computations.
Examples
As shown in FIG. 6, the emergency command and dispatch system for the offshore wind power construction process of the invention specifically comprises the following modules;
the information acquisition module of the Internet of things is used for acquiring real-time operation information of the fault equipment and sending the real-time operation information;
the information extraction module is used for receiving real-time operation information of the fault equipment, processing the real-time operation information, extracting construction operation type, construction operation planning time window, construction operation completion progress and construction operation place, and sending the construction operation type, the construction operation planning time window, the construction operation completion progress and the construction operation place;
the construction residual time and work amount calculating module is used for receiving the extracted construction job planning time window and construction job completion progress, calculating to obtain the residual time window and residual work amount of the construction job according to the construction job planning time window and the construction job completion progress, and sending the residual time window and the residual work amount;
the first-order screening module of the applicable equipment is used for receiving the extracted construction operation type, traversing a preset equipment database based on the construction operation type, extracting first-order applicable equipment applicable to the construction operation type, summarizing all the first-order applicable equipment, obtaining a first-order applicable equipment set and sending the first-order applicable equipment set;
The second-order screening module of the applicable equipment is used for receiving a remaining time window and a first-order applicable equipment set of construction operation, traversing the first-order applicable equipment set based on the remaining time window, extracting second-order applicable equipment capable of meeting the operation time requirement, summarizing all the second-order applicable equipment, obtaining a second-order applicable equipment set, and sending;
the equipment scheduling sequence generation module is used for receiving the extracted construction operation site and the second-order applicable equipment set, and calculating the scheduling cost and scheduling time consumption of each second-order applicable equipment transported to the construction operation site; carrying out serialization adjustment on all second-order applicable devices according to the scheduling cost to obtain a device scheduling sequence, and transmitting the device scheduling sequence;
the workload marking module is used for receiving the equipment scheduling sequence, calculating the workload which can be provided by each second-order applicable equipment in the residual time window according to the scheduling time consumption information in the equipment scheduling sequence, marking the workload of the second-order applicable equipment in the equipment scheduling sequence and sending the workload;
and the equipment determining module is used for receiving the equipment scheduling sequence marked with the workload, accumulating the workload of the second-order applicable equipment in the equipment scheduling sequence until the accumulation result is not less than the residual workload of the construction job, and taking the second-order applicable equipment participating in accumulation as the optimal applicable equipment to participate in the scheduling work.
The system acquires the operation information of the fault equipment in real time through the information acquisition module of the Internet of things, and then the operation information is processed through the information extraction module, so that the decision process is more accurate and rapid, and the emergency response efficiency is improved; the system uses the construction residual time and the work load calculation module, is applicable to the first-order screening module of equipment, is applicable to the second-order screening module of equipment and the like, calculates the construction residual time and the work load in an automatic mode, selects applicable equipment, generates an equipment scheduling sequence, reduces subjective intervention, and improves the objectivity and consistency of decision making;
through the equipment scheduling sequence generation module, the system can calculate the scheduling cost and time consumption of each equipment transported to the construction operation site so as to optimize the scheduling of the equipment, reduce the cost and shorten the construction time; the workload marking module helps to clarify the workload of each device within the construction time window in order to determine the best applicable device, which ensures efficient allocation of work and optimized resource utilization;
the automatic characteristic and real-time data acquisition of the system accelerate the emergency response speed, ensure that proper equipment can be quickly scheduled when equipment faults or other problems occur, and further reduce the downtime and loss; the system is beneficial to finishing construction work in a quality-guaranteeing and quantity-guaranteeing manner in a specified construction period, so that the overall progress of engineering projects is improved;
In summary, when the system is used for coping with emergency and faults in offshore wind power construction projects, emergency response, resource utilization efficiency and cost control are improved, reliability and maintainability of the projects are improved conveniently, and the projects are ensured to be completed on time.
The various modifications and specific embodiments of the emergency command and dispatch method for the offshore wind power construction process in the first embodiment are equally applicable to the emergency command and dispatch system for the offshore wind power construction process in this embodiment, and by the foregoing detailed description of the emergency command and dispatch method for the offshore wind power construction process in this embodiment, those skilled in the art can clearly know the implementation method of the emergency command and dispatch system for the offshore wind power construction process in this embodiment, so that, for the sake of brevity of the description, no further details will be given here.
In addition, the application also provides an electronic device, which comprises a bus, a transceiver, a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the transceiver, the memory and the processor are respectively connected through the bus, and when the computer program is executed by the processor, the processes of the method embodiment for controlling output data are realized, and the same technical effects can be achieved, so that repetition is avoided and redundant description is omitted.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that it will be apparent to those skilled in the art that modifications and variations can be made without departing from the technical principles of the present invention, and these modifications and variations should also be regarded as the scope of the invention.
Claims (10)
1. The emergency command and dispatch method for the offshore wind power construction process is characterized by being applied to a wind power construction command and dispatch platform, wherein the wind power construction command and dispatch platform comprises an Internet of things information acquisition module and an equipment database, and the method comprises the following steps:
acquiring real-time operation information which is being implemented by fault equipment according to an information acquisition module of the Internet of things;
extracting key information from the real-time operation information to obtain the type of the construction operation, the planning time window of the construction operation, the completion progress of the construction operation and the construction operation site;
calculating to obtain a residual time window and residual workload of the construction operation according to the construction operation planning time window and the construction operation completion progress;
traversing the equipment database based on the construction operation type, extracting first-order applicable equipment suitable for the construction operation type, and summarizing all first-order applicable equipment to obtain a first-order applicable equipment set;
Traversing the first-order applicable equipment set based on the residual time window, extracting second-order applicable equipment capable of meeting the operation time requirement, and summarizing all the second-order applicable equipment to obtain a second-order applicable equipment set;
calculating the dispatching cost and dispatching time consumption of each second-order applicable device transported to the construction operation site based on the construction operation site; carrying out serialization adjustment on all second-order applicable devices according to the scheduling cost to obtain a device scheduling sequence; in the equipment scheduling sequence, the lower the scheduling cost is, the higher the ranking is;
according to the scheduling time consumption, calculating the workload which can be provided by each second-order applicable device in the residual time window, and marking the workload of the second-order applicable devices in the device scheduling sequence;
and accumulating the workload of the second-order applicable equipment in the equipment scheduling sequence until the accumulation result is not less than the residual workload of the construction operation, and taking the second-order applicable equipment participating in accumulation as the optimal applicable equipment to participate in scheduling work.
2. The emergency command scheduling method for the offshore wind power construction process according to claim 1, wherein the working step of the information acquisition module of the internet of things comprises the following steps:
Deploying sensors on each construction equipment, wherein each sensor comprises a position sensor, a state sensor and monitoring equipment;
transmitting the collected data to a central data processor through a communication system;
the central data processor receives and analyzes the real-time data and identifies the fault condition, working progress and position of the equipment;
when the central data processor detects a faulty device, an alarm is generated and the relevant operating and management personnel are notified.
3. The offshore wind power construction process emergency command scheduling method of claim 1, wherein the calculation method of the residual time window and the residual workload of the construction operation comprises the following steps:
the construction operation planning time window comprises project start time and project finish time of construction operation, real-time operation information acquired by the information acquisition module of the Internet of things comprises real-time acquisition time, and the calculation method of the used time is as follows:
elapsed time = real-time acquisition time-project start time;
the remaining time window is calculated by the following method:
remaining time window = planning time window-elapsed time;
the remaining workload is calculated by the following method:
remaining work amount = total work amount-construction job completion progress.
4. The method for emergency command and dispatch in the offshore wind power construction process according to claim 1, wherein the first-order applicable equipment set acquisition method comprises the following steps:
the construction operation type is clarified;
accessing a device database, wherein the device database comprises information of all devices used for projects, and the device information comprises specifications, technical parameters, maintenance records and current states of the devices;
screening out equipment related to the type of construction operation according to the type of construction operation;
collecting the screened equipment into a first-order applicable equipment set;
the first-order applicable device set is consolidated to create a data structure including device name, specification and availability.
5. The offshore wind power construction process emergency command scheduling method of claim 1, wherein the second-order applicable equipment set acquisition method comprises the following steps:
acquiring a remaining time window and a first-order applicable device set;
traversing the first-order applicable equipment set to determine equipment meeting the working time requirement;
the selected device is added to the second order applicable device set.
6. An offshore wind power construction process emergency command dispatch method of claim 1, wherein the dispatch cost influencing factors include transportation cost, transportation distance, fuel cost, road use cost, labor cost and equipment lease cost.
7. The offshore wind power construction process emergency command scheduling method of claim 1, wherein the work amount calculation method that each second-order applicable device can provide in the remaining time window comprises:
defining the property of construction operation, including the specific requirement of work, required skill and resource;
the performance and efficiency of each second-order applicable device are determined, wherein the performance and efficiency comprise the working speed, the working quality and the resource utilization rate of the device;
subtracting the scheduling time from the remaining time window to obtain a remaining effective construction time window;
multiplying the remaining effective construction time window by the working speed of each second-order applicable device to obtain the workload which can be provided by each second-order applicable device;
corresponding workload markers are performed in the device scheduling sequence, associating a workload value with each device.
8. An offshore wind power construction process emergency command scheduling system, the system comprising:
the information acquisition module of the Internet of things is used for acquiring real-time operation information of the fault equipment and sending the real-time operation information;
the information extraction module is used for receiving real-time operation information of the fault equipment, processing the real-time operation information, extracting construction operation type, construction operation planning time window, construction operation completion progress and construction operation place, and sending the construction operation type, the construction operation planning time window, the construction operation completion progress and the construction operation place;
The construction residual time and work amount calculating module is used for receiving the extracted construction job planning time window and construction job completion progress, calculating to obtain the residual time window and residual work amount of the construction job according to the construction job planning time window and the construction job completion progress, and sending the residual time window and the residual work amount;
the first-order screening module of the applicable equipment is used for receiving the extracted construction operation type, traversing a preset equipment database based on the construction operation type, extracting first-order applicable equipment applicable to the construction operation type, summarizing all the first-order applicable equipment to obtain a first-order applicable equipment set, and sending the first-order applicable equipment set;
the second-order screening module of the applicable equipment is used for receiving a remaining time window and a first-order applicable equipment set of construction operation, traversing the first-order applicable equipment set based on the remaining time window, extracting second-order applicable equipment capable of meeting the operation time requirement, summarizing all the second-order applicable equipment, obtaining a second-order applicable equipment set, and sending;
the equipment scheduling sequence generation module is used for receiving the extracted construction operation site and the second-order applicable equipment set, and calculating the scheduling cost and scheduling time consumption of each second-order applicable equipment transported to the construction operation site; performing serialization adjustment on all second-order applicable devices according to the scheduling cost to obtain a device scheduling sequence, and transmitting the device scheduling sequence;
The workload marking module is used for receiving the equipment scheduling sequence, calculating the workload which can be provided by each second-order applicable equipment in the residual time window according to the scheduling time consumption information in the equipment scheduling sequence, marking the workload of the second-order applicable equipment in the equipment scheduling sequence and transmitting the workload;
and the equipment determining module is used for receiving the equipment scheduling sequence marked with the workload, accumulating the workload of the second-order applicable equipment in the equipment scheduling sequence until the accumulation result is not less than the residual workload of the construction job, and taking the second-order applicable equipment participating in accumulation as the optimal applicable equipment to participate in the scheduling work.
9. An offshore wind power construction process emergency command dispatch electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, characterized in that the computer program when executed by the processor realizes the steps in the method according to any one of claims 1-7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311361935.8A CN117236563A (en) | 2023-10-20 | 2023-10-20 | Emergency command scheduling method and system for offshore wind power construction process |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311361935.8A CN117236563A (en) | 2023-10-20 | 2023-10-20 | Emergency command scheduling method and system for offshore wind power construction process |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117236563A true CN117236563A (en) | 2023-12-15 |
Family
ID=89086072
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311361935.8A Pending CN117236563A (en) | 2023-10-20 | 2023-10-20 | Emergency command scheduling method and system for offshore wind power construction process |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117236563A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119761762A (en) * | 2025-01-22 | 2025-04-04 | 中国电建集团西北勘测设计研究院有限公司 | Offshore photovoltaic ship operation allocation method, device, program product and equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112416599A (en) * | 2020-12-03 | 2021-02-26 | 腾讯科技（深圳）有限公司 | Resource scheduling method, device, equipment and computer readable storage medium |
| CN114757492A (en) * | 2022-03-21 | 2022-07-15 | 浙江中控信息产业股份有限公司 | Multi-device control scheduling optimization method and system |
| CN115550367A (en) * | 2022-11-30 | 2022-12-30 | 成都中星世通电子科技有限公司 | Radio monitoring method and system based on distributed task management and resource scheduling |
| CN115862823A (en) * | 2022-11-14 | 2023-03-28 | 深圳市索美医疗科技服务有限公司 | Intelligent equipment scheduling method and system based on mobile network |
| CN116596245A (en) * | 2023-05-17 | 2023-08-15 | 杭州路达公路工程总公司 | On-site dispatching system, method, equipment and storage medium for traffic emergency rescue |
-
2023
- 2023-10-20 CN CN202311361935.8A patent/CN117236563A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112416599A (en) * | 2020-12-03 | 2021-02-26 | 腾讯科技（深圳）有限公司 | Resource scheduling method, device, equipment and computer readable storage medium |
| CN114757492A (en) * | 2022-03-21 | 2022-07-15 | 浙江中控信息产业股份有限公司 | Multi-device control scheduling optimization method and system |
| CN115862823A (en) * | 2022-11-14 | 2023-03-28 | 深圳市索美医疗科技服务有限公司 | Intelligent equipment scheduling method and system based on mobile network |
| CN115550367A (en) * | 2022-11-30 | 2022-12-30 | 成都中星世通电子科技有限公司 | Radio monitoring method and system based on distributed task management and resource scheduling |
| CN116596245A (en) * | 2023-05-17 | 2023-08-15 | 杭州路达公路工程总公司 | On-site dispatching system, method, equipment and storage medium for traffic emergency rescue |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119761762A (en) * | 2025-01-22 | 2025-04-04 | 中国电建集团西北勘测设计研究院有限公司 | Offshore photovoltaic ship operation allocation method, device, program product and equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116862199A (en) | Building construction optimizing system based on big data and cloud computing | |
| US8990826B2 (en) | System and method for receiving analysis requests and configuring analytics systems | |
| US20120130767A1 (en) | Methods and Systems Involving Power System Grid Management | |
| CN115099695B (en) | Offshore wind farm operation and maintenance optimization scheduling method and system | |
| CN101753364A (en) | Equipment state analysis prediction and resource allocation method and system | |
| CN116775672B (en) | BIM-based engineering cost data dynamic correction method and system | |
| CN117217477B (en) | Major data-based key emergency material allocation method and system | |
| CN119741006B (en) | Power distribution network fault rush-repair scheduling system and method | |
| CN117350640A (en) | Project progress management method and system | |
| CN117236563A (en) | Emergency command scheduling method and system for offshore wind power construction process | |
| CN117114211A (en) | An emergency power supply evaluation and optimization method and system | |
| CN110633808B (en) | Wind farm operation and maintenance task scheduling system and method | |
| WO2021119802A1 (en) | Construction site management optimization | |
| Kovács et al. | Scheduling the maintenance of wind farms for minimizing production loss | |
| CN115048815A (en) | Database-based intelligent simulation management system and method for power service | |
| Dawid et al. | Development of an O&M tool for short term decision making applied to offshore wind farms | |
| CN118485285B (en) | Intelligent power distribution network node load analysis method and system | |
| CN109740191A (en) | Prediction technique, device and the equipment of wind sensor remaining life | |
| CN118037262A (en) | Intelligent bill distribution method for refining industry | |
| CN112149932A (en) | Operation and maintenance scheduling method and device for photovoltaic power station group | |
| Heikkilä et al. | Reliability-centered Development of a Wave Energy Converter: Interfaces between Reliability Modeling, FMECA and LCC | |
| CN116979529B (en) | Electric power load assessment method, system, equipment and storage medium | |
| CN120655066B (en) | A UAV maintenance task scheduling and resource management platform | |
| Jiménez-Redondo et al. | INFRALERT: improving linear transport infrastructure efficiency by automated learning and optimised predictive maintenance techniques | |
| CN119273208A (en) | Equipment quality information analysis method and device, electronic device, and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |