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CN116055322B - A multi-device collaborative working method - Google Patents

A multi-device collaborative working method Download PDF

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Publication number
CN116055322B
CN116055322B CN202211341088.4A CN202211341088A CN116055322B CN 116055322 B CN116055322 B CN 116055322B CN 202211341088 A CN202211341088 A CN 202211341088A CN 116055322 B CN116055322 B CN 116055322B
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communication
working
resource
state
control system
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CN116055322A (en
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沈雨生
荀思超
徐荣
刘晓玥
魏林风
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Yancheng Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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Yancheng Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0803Configuration setting
    • H04L41/0823Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0896Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Small-Scale Networks (AREA)

Abstract

本发明提供了一种多设备协同工作方法。该多设备协同工作的方法包括:具有功能资源的终端设备可以根据工业控制系统要求,设计其工作在不同的工作状态,以及工作状态所对应的协同功能。设备通过包含多个接入点的通信网的接入以组建协同工作网络。设备能够在设定的每一控制周期,根据当前采集端口采集的系统参数,尤其是体现控制系统状态发生改变的参数进行计算并进行最优工作状态的选择,然后改变工作状态。本发明能够降低多设备协同工作控制系统的脆弱性。

The present invention provides a method for collaborative work of multiple devices. The method for collaborative work of multiple devices includes: a terminal device with functional resources can be designed to work in different working states and collaborative functions corresponding to the working states according to the requirements of an industrial control system. The device is connected to a communication network including multiple access points to form a collaborative work network. The device can calculate and select the optimal working state according to the system parameters collected by the current acquisition port, especially the parameters reflecting the change of the control system state, in each set control cycle, and then change the working state. The present invention can reduce the vulnerability of a control system for collaborative work of multiple devices.

Description

Multi-equipment cooperative working method
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a multi-equipment cooperative working method.
Background
A plurality of terminal devices included in the industrial control system can form a cooperative network through a communication network including a plurality of access points, and after the cooperative network is formed, a plurality of devices in the cooperative network can cooperatively complete the cooperative task of the control system.
Current cooperative networks generally include one or more superordinate computers and a plurality of slave devices. The upper computers form a core network through reliable links, and the slave devices are connected to the respective upper computers according to the communication topological relation. The upper computer has management authority of the cooperative network and is used for controlling the slave devices to execute cooperative tasks together. The slave device executes the cooperative task according to the control information of the upper computer, and the work abnormality of the upper computer can enable the cooperative work of the parts to be in a paralysis state.
The running state of a further industrial control system is often converted along with the working progress of the industrial control system, and the communication topological structure of the cooperative network also needs to follow the conversion during the state conversion to adapt to the current running state requirement. Specifically, if the control system is switched from the normal working state to the emergency working state, the slave devices of the control system in the space or time dimension are in an abnormal active state, and the cooperative network needs to supply enough resources (including computing resources, communication bandwidth, communication delay and the like) to meet the requirement of the control system, otherwise, the operation efficiency of the industrial control system is extremely deteriorated, and even the system breakdown is caused. The network built by the existing multi-equipment cooperative working method cannot meet the requirements, and is difficult to adapt to the development of a modern industrial control system.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a multi-device cooperative work method for reducing the vulnerability of a multi-device cooperative work control system.
The invention particularly relates to a multi-equipment cooperative working method, which comprises the following steps: a plurality of terminal devices having functional resources and a communication network including a plurality of access points through which the plurality of terminal devices access the communication network to construct a multi-device cooperative control system.
The communication network comprising a plurality of access points has dynamic resource allocation capability, which means that the communication channels with required bandwidth and time delay can be dynamically allocated according to the requirements of access equipment.
The terminal equipment functional resource comprises at least one of a central processing unit resource of equipment, a memory resource of equipment, a communication resource of equipment, an information acquisition port resource of equipment and a control port resource of equipment.
The functional resources of the terminal equipment are determined during equipment manufacture and are stored in the equipment in a configuration information mode.
The preferred communication resources of the above device include communication bandwidth and communication latency parameters that match the communication network access point.
The equipment can be designed to work in different working states according to the requirements of an industrial control system, and the cooperative functions corresponding to the working states are designed.
The terminal equipment is preferably classified according to equipment capacity and industrial control system definition and is marked in configuration information, so that equipment identification, classification management and function candidates are facilitated.
The configuration information further includes at least one of parameters of communication when the device is operated in each working state, input and output settings, a processing program for input information, a processing program for output information, an acquisition port processing program, and a processing program for a control port.
The configuration information also comprises a working state transition decision module.
The function of the working state transition decision module comprises the following steps: the method can calculate and select the optimal working state according to the system parameters acquired by the current acquisition port, particularly the parameters showing the change of the state of the control system, in each set control period, and then change the working state.
The input information representing the change of the state of the control system preferably includes: system parameters acquired by the current acquisition port, current equipment communication parameters and current communication key resource indexes.
The invention has the beneficial effects that: the invention combines the working state conversion strategy of the equipment with the communication gateway key resource index, and can reduce the vulnerability of the multi-equipment cooperative work control system, thereby having practical application prospect.
Drawings
FIG. 1 is a schematic diagram of a multi-device cooperative work control system according to an embodiment of the present invention;
FIG. 2 is a schematic block diagram of the apparatus components of an embodiment of the present invention;
fig. 3 is a flow chart of a method for cooperative work of multiple devices according to an embodiment of the present invention.
Detailed Description
A detailed description of a multi-device cooperative method according to the present invention will be provided below with reference to the accompanying drawings.
As shown in fig. 1, a plurality of mining control terminal devices with 5G access capability in the power sensor network form a cooperative network together through accessing the 5G network. Three kinds of application scenes of the 5G network, namely the characteristics of enhanced mobile broadband, ultra-high reliability low-time-delay communication and mass machine communication, are new generation broadband mobile communication technology, and are becoming network infrastructure for realizing object interconnection by combining technologies such as vertical slicing, cloud computing and the like. And the air interface of 5G can dynamically allocate the links according to the terminal requirements. And after successful networking, collecting the geographical information, network structure, equipment information, real-time data and the like of the power grid. The running state of the system is judged through data so as to complete power grid running automation (real-time monitoring, automatic fault isolation, recovery and the like) and power grid management automation (equipment management, power failure management and the like), and each equipment in the cooperative work network can cooperatively complete the functions of measuring, controlling and the like of the power grid and keeping the power grid to run efficiently, green and energy-saving.
The device in this embodiment may be an electric power internet of things terminal, an electric power communication terminal, an electric power monitoring terminal, a video telemetry monitoring terminal, an electric power acquisition terminal, a power distribution terminal, a programmable controller, a temporary access intelligent device, or the like, which has 5G access capability. As shown in fig. 2, these terminal devices have certain functional resources, including central processor resources of the devices, memory resources of the devices, communication resources of the devices, information acquisition port resources of the devices, control port resources of the devices, and the like, and are determined and described in a configuration file manner at the time of design and manufacture.
The communication resources of the device in this embodiment are determined by the upper limit of the design configuration of the device, and the communication resource requirements in the functional state are determined by the design. Aiming at the networked power distribution side protection control communication network performance research, the transmission delay of a message is used as a real-time evaluation index, and the packet loss rate of the message is used as a reliability evaluation index. From the standpoint of the rapidity and reliability of the protection control function, the communication resource of the 5G network in the cooperative work network should be lower than 5ms, which is required to meet the requirement of the protection control communication performance of the networked power distribution side, and the packet loss rate should be lower than 10 to the power of-3.
Fig. 3 is a flow chart of a multi-device cooperative working method according to an embodiment of the present invention. The method shown in fig. 3 specifically includes steps 201 to 203, where step 201 describes a design process of a collaborative network, step 202 describes a networking process, and step 203 mainly describes a mechanism that the ledger system network has low vulnerability.
201, The working state of the equipment is designed according to the requirements of an industrial control system.
Object-oriented hierarchical modeling techniques and cloud computing techniques are preferably employed. With a data model based on a client/server architecture, system functionality is defined as having a plurality of logical devices, the logical devices comprising a plurality of logical nodes, the logical nodes comprising data objects. These logical devices cooperate to perform a certain function of the system through the processing interactions of the logical data objects. Logical devices exist on top of the co-operating network and demands are made on device resources for implementing the logical devices. And then can be distributed to the physical devices of the physical cooperative network according to the requirement and the condition by utilizing the cloud computing technology.
The terminal devices may preferably be classified by their device capabilities, industrial control system definitions and identified in configuration information to facilitate device identification classification management and function candidates. And simultaneously, parameters comprising communication when the equipment operates in each working state are configured, and input and output settings, processing programs for input information, processing programs for output information, processing programs for acquisition ports, processing programs for control ports and the like are configured.
Preferably, the system is designed to work in different working states according to the requirements of the power industry control system and the conditions of equipment resources, and the cooperative functions corresponding to the working states are designed. The equipment comprises a working state transfer decision module which is used for carrying out optimal switching among different cooperative working states.
202 Access by a device through a communication network comprising a plurality of access points to build up a co-operating network.
After the power terminal equipment is installed in place, initializing to a set working state through configuration file setting, accessing a 5G network, and sending configuration information of the equipment to associated equipment of the cooperative network according to set requirements.
In one implementation, each device obtains cooperative network configuration information after network access, and the network access device sends the device configuration information to the device implementing the networking logic function.
203, Switching the working state to optimize the cooperative working network.
The power network operating state varies with load conditions, planned events, unexpected events, etc. The device can calculate according to the system parameters acquired by the current acquisition port, particularly the parameters showing the change of the state of the control system, in each set control period, and select the optimal working state under the control of the working state transition decision module.
The input information representing the change of the state of the control system preferably includes: system parameters acquired by the current acquisition port, current equipment communication parameters and current communication key resource indexes.
In one implementation, the current communication critical resource index is the current cooperative network demand for low delay links.
Preferably, the above-mentioned working state transition decision-making module adopts a Markov decision algorithm.
Further, the markov decision algorithm includes the following steps:
S1: combining the state space of the Markov decision process according to the system running state conversion relation, the vulnerability index corresponding to the running state, the current communication key resource index and the input information, and calculating to obtain a state transition probability matrix; defining an action space of a Markov decision process;
S2: the reward function of the Markov decision process is defined as a vulnerability index function corresponding to the current system running state;
s3: determining an objective function according to the system running state conversion relation and the vulnerability index corresponding to the running state;
S4: solving the Markov decision process model to obtain the working state transition decision strategy of the equipment.
Preferably, in the step S2, the vulnerability index function corresponding to the current system running state is an intermediate centrality index of the device collaboration network.
Finally, it should be noted that the above-mentioned embodiments are merely illustrative of the technical solution of the invention and not limiting thereof. It will be understood by those skilled in the art that modifications and equivalents may be made to the particular embodiments of the invention, which are within the scope of the claims appended hereto.

Claims (2)

1.一种多设备协同工作方法,其特征在于,包括:1. A multi-device collaborative working method, characterized by comprising: 多个具有功能资源的终端设备和包含多个接入点的通信网,多个所述终端设备通过接入点接入所述通信网,以组建多设备协同工作控制系统;A plurality of terminal devices with functional resources and a communication network including a plurality of access points, wherein the plurality of terminal devices access the communication network through the access points to form a multi-device collaborative work control system; 所述终端设备能够根据工业控制系统要求,设计工作在不同的工作状态,以及工作状态所对应的协同功能;The terminal device can be designed to work in different working states and the collaborative functions corresponding to the working states according to the requirements of the industrial control system; 所述终端设备包括工作状态转移决策模块;The terminal device includes a working state transfer decision module; 所述工作状态转移决策模块功能包括:能够在设定的每一控制周期,根据当前采集端口采集的体现控制系统状态发生改变的参数进行计算并进行最优工作状态的选择,然后改变工作状态;The working state transfer decision module functions include: being able to calculate and select the optimal working state according to the parameters reflecting the change of the control system state collected by the current collection port in each set control cycle, and then changing the working state; 包含多个接入点的所述通信网具有动态资源分配能力,能根据接入设备的要求动态分配所要求的带宽和时延的通信信道;The communication network including multiple access points has dynamic resource allocation capability and can dynamically allocate communication channels with required bandwidth and delay according to the requirements of access devices; 所述工作状态转移决策模块采用马尔可夫决策算法,包括如下步骤:The working state transfer decision module adopts a Markov decision algorithm, including the following steps: S1:根据系统运行状态转换关系、运行状态所对应的脆弱性指标、当前通信关键资源指数、输入信息组合成马尔科夫决策过程的状态空间,并计算获得状态转移概率矩阵;并定义马尔科夫决策过程的动作空间;S1: According to the system operation state conversion relationship, the vulnerability index corresponding to the operation state, the current communication key resource index, and the input information, the state space of the Markov decision process is combined, and the state transition probability matrix is calculated; and the action space of the Markov decision process is defined; S2:马尔科夫决策过程的报酬函数定义为当前系统运行状态所对应脆弱性指标函数;当前系统运行状态所对应脆弱性指标函数为设备协同网络的中介中心度指标;S2: The reward function of the Markov decision process is defined as the vulnerability index function corresponding to the current system operation state; the vulnerability index function corresponding to the current system operation state is the betweenness centrality index of the device collaborative network; S3:根据系统运行状态转换关系、运行状态所对应的脆弱性指标根据系统运行状态转换确定目标函数;S3: Determine the objective function according to the system operation state conversion relationship and the vulnerability index corresponding to the operation state according to the system operation state conversion; S4:求解上述的马尔科夫决策过程模型,获得设备的工作状态转移决策策略。S4: Solve the above Markov decision process model to obtain the working state transfer decision strategy of the equipment. 2.根据权利要求1所述的一种多设备协同工作方法,其特征在于,具有功能资源的所述终端设备还包括设备的中央处理器资源、设备的内存资源、设备的通信资源、设备的信息采集端口资源、设备的控制端口资源中的至少一种,在设备制造时决定,并以配置信息方式保存在设备中;2. A method for multi-device collaborative work according to claim 1, characterized in that the terminal device with functional resources also includes at least one of a central processing unit resource of the device, a memory resource of the device, a communication resource of the device, an information collection port resource of the device, and a control port resource of the device, which is determined when the device is manufactured and stored in the device in the form of configuration information; 所述设备的通信资源包括与通信网接入点匹配的通信带宽和通信时延参数;The communication resources of the device include communication bandwidth and communication delay parameters that match the communication network access point; 所述配置信息还包括设备运行在各个工作状态时通信的参数,输入和输出设置、对输入信息的处理程序、输出信息的处理程序、采集端口处理程序、控制端口的处理程序中的至少一种。The configuration information also includes at least one of the communication parameters, input and output settings, input information processing program, output information processing program, acquisition port processing program, and control port processing program when the device is running in various working states.
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