CN102654765A - Internet of things as well as control method and device for equipment in internet of things - Google Patents

Abstract

The present invention provides a control method and device for Internet of Things equipment and Internet of Things. The first detector and the second detector respectively detect and obtain the name of the sensor and the detection data and the name and working status of the IoT device, and send them to the control module of the software system; The name and working status of the device, using the sensor and the Internet of Things device as the ontology to obtain the initial state information of the ontology and send it to the intelligent module of the software system; the intelligent module includes an inference engine equipped with an ontology and execution rules, and the inference engine is set according to the initial state information of the ontology In the initial state of the main body, run the inference engine, obtain the device operation instruction and return it to the control module; the control module controls the second detector to reset the working state of the IoT device according to the device operation instruction. The adaptability and flexibility to changes of the Internet of Things can be improved by adopting the control method and device of the Internet of Things equipment and the Internet of Things provided by the present invention.

Description

Control method and device of Internet of things equipment and Internet of things

technical field

The present invention relates to automatic control technology, in particular to a control method and device for Internet of Things equipment and Internet of Things.

Background technique

With the advancement of network technology, sensor technology, radio frequency identification (Radio Frequency Identification, referred to as RFID) technology and software technology, various devices in the physical world can be connected to information technology (Information Technology, referred to as IT) infrastructure, forming the Internet of Things . In the Internet of Things, each device, under the control of a software system, can operate autonomously with as little human supervision as possible.

The existing IoT architecture consists of IoT devices, sensors, and software systems. For example, for an Internet of Things applied to a conference room, it includes Internet of Things devices such as air conditioners, projectors, projection screens, fluorescent lamps, air humidifiers, and loudspeakers, as well as sensors such as light sensors, temperature sensors, and humidity sensors. Includes a software system. In the Internet of Things, all devices should be used according to the corresponding rules, for example, a rule is "if the temperature is higher than 28 degrees Celsius, turn on the cooling function of the air conditioner". The execution rules of each device in the Internet of Things are realized through the control of the software system, and each execution rule is set in the software system in the form of a program. Each of the above-mentioned devices and sensors is connected to the software system, and the software system obtains the current environmental data of the Internet of Things from each sensor, such as the current temperature, humidity, brightness, etc., and then, the software system starts the relevant The program controls the above-mentioned equipment to work according to the execution rules.

In practical applications, the equipment and execution rules in the Internet of Things will change at any time according to the needs. For example, in the above-mentioned meeting room, it is possible to add new projectors and other equipment at any time, and it is also possible to adjust the conditions for turning on fluorescent lamps, air conditioners and other equipment at any time , so the execution rules need to be adjusted. The existing software system of the Internet of Things judges each execution rule through a corresponding program. Therefore, the above-mentioned devices and execution rules that may change are highly coupled with other parts of the system. If the devices in the Internet of Things increase or decrease, or the execution rules change, the relevant programs in the software system must be modified one by one. The software system adjustment requires a lot of work and is difficult to implement, so it takes a long time to adjust. lead to inefficient control. In short, the existing Internet of Things and the control method of the Internet of Things devices therein cannot flexibly adapt to changes in the Internet of Things.

Contents of the invention

The first aspect of the present invention is to provide a method for controlling an Internet of Things device, which is used to solve the defects in the prior art and improve adaptability and flexibility to changes in the Internet of Things.

Another aspect of the present invention is to provide a control device for Internet of Things equipment, which is used to solve the defects in the prior art and improve adaptability and flexibility to changes in the Internet of Things.

Another aspect of the present invention is to provide an Internet of Things to solve the defects in the prior art and improve adaptability and flexibility to changes of the Internet of Things.

A first aspect of the present invention is to provide a control method for an Internet of Things device, including:

The control module obtains the initial state of the body according to the name and detection data of the sensor detected by the first detector and the name and working status of the IoT device detected by the second detector, using the sensor and the IoT device as the body Information and sent to the intelligent module of the software system;

The intelligent module includes an inference engine provided with ontology and execution rules, and sets the initial state of the ontology in the inference engine according to the initial state information of the ontology, and runs the inference engine, according to the initial state of the ontology and the execution rules. rules, obtaining equipment operation instructions and returning them to the control module;

The control module controls the second detector to reset the working state of the IoT device according to the device operation instruction.

The method as described above, wherein, the control module uses the name and detection data of the sensor detected by the first detector and the name and working status of the Internet of Things device detected by the second detector to use the sensor and the The Internet of Things device is used as the ontology, and before obtaining the initial state information of the ontology and sending it to the intelligent module of the software system, it also includes:

The execution rules are set in the reasoning engine by using the Semantic Web Rule Language SWRL.

The method as described above, wherein, the control module uses the name and detection data of the sensor detected by the first detector and the name and working status of the Internet of Things device detected by the second detector to use the sensor and the The Internet of Things device is used as the ontology, and before obtaining the initial state information of the ontology and sending it to the intelligent module of the software system, it also includes:

The ontology is set in the reasoning engine by adopting ontology network language OWL.

The above method, which also includes:

When the ontology and/or execution rules in the reasoning machine change, the reasoning machine is re-run.

method as above, wherein,

According to the name and detection data of the sensor detected by the first detector and the name and working status of the Internet of Things device detected by the second detector, the control module uses the sensor and the Internet of Things device as the ontology to obtain the ontology Before the initial state information is sent to the intelligent module of the software system, it also includes: the control module creates a control program for the IoT device;

The control module controlling the second detector to reset the working state of the IoT device according to the device operation instruction includes: the control module running the control program of the IoT device according to the device operation instruction and controlling the second detector to reset the working state of the IoT device to the working state indicated in the device operation instruction.

Another aspect of the present invention provides a control device for an Internet of Things device, including:

The control module is configured to obtain the sensor name and detection data detected by the first detector and the name and working status of the IoT device detected by the second detector, using the sensor and the IoT device as the main body. Send the initial state information of the main body to the intelligent module of the software system, and control the second detector to reset the working state of the IoT device according to the device operation instruction returned by the intelligent module;

An intelligent module, including an inference engine provided with ontology and execution rules, used to set the initial state of the ontology in the inference engine according to the initial state information of the ontology, and run the inference engine, according to the initial state of the ontology and the Execute the rules, obtain equipment operation instructions and return them to the control module.

The device as described above, wherein, the execution rules in the reasoning machine are set by using the Semantic Web Rule Language SWRL;

And/or, the ontology in the reasoning engine is configured by using an ontology web language OWL.

The device as described above, wherein the intelligent module is further configured to rerun the reasoning machine when the ontology and/or execution rules in the reasoning machine change.

In the above-mentioned device, wherein the control module is specifically configured to create a control program of the IoT device, run the control program of the IoT device according to the device operation instruction, and control the second detector to The working state of the IoT device is reset to the working state indicated in the device operation instruction.

Yet another aspect of the present invention provides an Internet of Things, including:

Sensors are used to detect the environment of the Internet of Things and the working status of the Internet of Things devices;

The IoT device is used to perform its own functions under the control of the control module of the software system;

The first detector is used to detect and obtain the name and detection data of the sensor, and send it to the control module of the software system;

The second detector is used to detect and obtain the name and working status of the IoT device, and send it to the control module of the software system;

And the control device of the Internet of Things device as mentioned above.

According to the content of the above invention, it can be seen that the ontology-based control method is adopted, the ontology and execution rules are pre-set in the inference engine, and the sensors and IoT devices included in the current Internet of Things, as well as sensor detection data and IoT devices are known through detectors. Working state, from which the initial state of the ontology is extracted, and then the inference engine is run to obtain equipment operation instructions. Therefore, when one or both of the devices in the Internet of Things or the execution rules change, only the ontology or the execution rules in the reasoning machine need to be modified to adapt to the changed Internet of Things environment, thereby improving the accuracy of the Internet of Things. Adaptability and flexibility to IoT changes.

Description of drawings

FIG. 1 is a schematic structural diagram of the Internet of Things according to Embodiment 1 of the present invention to Embodiment 3 of the present invention;

FIG. 2 is a flowchart of a method for controlling an Internet of Things device according to Embodiment 1 of the present invention;

FIG. 3 is a flowchart of a method for controlling an Internet of Things device according to Embodiment 2 of the present invention;

4 is a schematic diagram of an ontology model in a method for controlling an Internet of Things device according to Embodiment 2 of the present invention;

5 is a schematic structural diagram of a control device for an Internet of Things device according to Embodiment 3 of the present invention;

FIG. 6 is a schematic structural diagram of the Internet of Things according to Embodiment 4 of the present invention.

Detailed ways

FIG. 1 is a schematic structural diagram of the Internet of Things in Embodiment 1 to Embodiment 3 of the present invention. As shown in FIG. 1 , the Internet of Things at least includes: an Internet of Things device 11 , a sensor 12 , a first detector 13 , a second detector 14 and a software system 15 . Among them, multiple Internet of Things devices 11 may be included, such as: fluorescent lamps, air conditioners, and the like. Furthermore, multiple sensors 12 may be included, such as brightness sensors, temperature sensors, humidity sensors, and the like. The software system 15 includes a control module 151 and an intelligent module 152 that are connected to each other, wherein the intelligent module 152 includes an inference engine 1520 . One side of the first detector 13 is connected to each sensor 12 , and the other side is connected to the control module 151 . One side of the second detector 14 is connected to each IoT device 11 , and the other side is connected to the control module 151 .

According to the above Internet of Things structure, the control method of the Internet of Things device is as described in the first embodiment of the present invention and the second embodiment of the present invention.

FIG. 2 is a flowchart of a method for controlling an Internet of Things device according to Embodiment 1 of the present invention. As shown in Figure 2, the method includes the following processes.

Step 201: The control module obtains the initial state information of the body based on the name and detection data of the sensor detected by the first detector and the name and working status of the IoT device detected by the second detector, using the sensor and the IoT device as the body And sent to the intelligent module of the software system.

Step 202: The intelligent module includes an inference engine equipped with ontology and execution rules, sets the initial state of the ontology in the inference engine according to the initial state information of the ontology, runs the inference engine, obtains device operation instructions according to the initial state of the ontology and execution rules, and returns them to control module.

Step 203: The control module controls the second detector to reset the working state of the IoT device according to the device operation instruction.

In Embodiment 1 of the present invention, the ontology-based control method is adopted, and ontology and execution rules are set in the inference engine in advance, and sensors and IoT devices included in the current Internet of Things, as well as sensor detection data and object The working state of the networked equipment, from which the initial state of the ontology is extracted, and then the inference engine is run to obtain equipment operation instructions according to the execution rules and the initial state of the ontology. Therefore, when one or both of the devices or the execution rules of the Internet of Things changes, only the ontology or the execution rules in the reasoning machine need to be modified to adapt to the changed Internet of Things environment, and the devices in it can be Control, this method can quickly, conveniently, and flexibly adapt to the needs of the changed Internet of Things.

FIG. 3 is a flowchart of a method for controlling an Internet of Things device according to Embodiment 2 of the present invention. In Embodiment 2 of the present invention, the method for controlling an Internet of Things device of the present invention is introduced in combination with an application scenario of a smart conference room. As shown in Figure 3, the method includes the following processes.

Step 301: Ontology is set in the inference engine by using Ontology Web Language (OWL for short).

In this step, taking the application scenario of an intelligent meeting room as an example, a better ontology model is shown in FIG. 4 . FIG. 4 is a schematic diagram of an ontology model in a method for controlling an Internet of Things device according to Embodiment 2 of the present invention. As shown in Figure 4, each device in the smart conference room is mapped to the ontology model. In the ontology model, in addition to the air conditioners, projectors and other equipment installed in the existing conference room as the ontology, the people in the conference room and their mobile phones, laptops and other equipment can also be used as the ontology, so that the ontology can be applied The model represents all the people and things in the meeting room. In the ontology model shown in Figure 4, the devices in the Internet of Things are divided into two categories: environment control and conference service. Their relationship with people is "ProvideServiceFor", indicating that these devices provide services for people.

Step 302: Set execution rules in the reasoning engine of the intelligent module of the software system using Semantic Web Rule Language (SWRL for short).

In this step, in order to express the execution rules, one or more auxiliary classes can be flexibly defined. Still taking the application scenario of the smart conference room in step 301 as an example. Preferably, according to the ontology model above, define two auxiliary classes: room and facility. The Facility class is the superclass of all concrete equipment, including environmental control equipment and conference service equipment. The room class is used to assist in describing the preconditions for executing rules.

In the embodiment of the present invention, the ontology is described in OWL, and the execution rules are described in SWRL.

In combination with the application scenario of the smart meeting room in step 301, preferably, in addition to the default properties in OWL, some other properties of ontology can be supplemented and defined. For example, the following attributes can be added to the ontology: brightness attribute (Room_Brightness), humidity attribute (Room_Humidity), number of people attribute (Room_PersonNum) and temperature attribute (Room_Temperature). Define the following attributes: occupancy attribute (isOccupied), which is used to indicate whether the conference room is occupied; the following attributes can also be defined for the ontology: open attribute (isOn), which is used to indicate that the IoT device is on or off; Define the following attributes for the ontology supplement: in the conference room attribute (isIn), used to mark whether the IoT device is in the conference room; you can also define the following attributes for the ontology supplement: air conditioner temperature attribute (Air_Condition_Temperature), used to indicate the temperature of the air conditioner .

Execution rules are used to indicate the functions that each IoT device should perform under various circumstances in the current IoT. In combination with the application scenario of the intelligent meeting room in step 301, an example of the execution rule is that the execution rule specifically includes the following 6 rules:

1: If there are people in the conference room and the room temperature is higher than 30°C, turn on the air conditioner.

2: If the number of people in the conference room does not exceed 4, and the air conditioner is turned on, set the temperature of the air conditioner to 27°C.

3: If the number of people in the conference room does not exceed 3 and the air conditioner is turned on, set the temperature of the air conditioner to 26°C.

4: If there are people in the meeting room and the projector is off, the projection screen will be put away and all lights will be turned on.

5: If there are people in the meeting room and the projector is turned on, put down the projection screen, turn off the lights near the projection screen, and turn off the lights in the distance.

6: If the meeting room is empty, turn off all equipment.

After using SWRL to express the above execution rules, it is set in the reasoning machine of the intelligent module of the software system.

The execution sequence between the above steps 301 and 302 is not limited. In addition, the execution sequence of the process from step 301 to step 302 and the process from step 303 to step 304 is not limited, as long as the above four steps are all executed before step 305 .

Step 303: The first detector detects and obtains the name and detection data of the sensor, and sends them to the control module of the software system.

In this step, the first detector detects each sensor, such as a temperature sensor and a humidity sensor, obtains the name and temperature detection data of the temperature sensor, and the name and humidity data of the humidity sensor, and sends the name and detection data of the above-mentioned sensor to The control module of the software system, so that the control module obtains the sensors included in the current Internet of Things and the detection data of each sensor according to the report of the first detector.

Step 304: The second detector detects and obtains the name and working status of the IoT device, and sends it to the control module of the software system.

In this step, the second detector detects each IoT device in the Internet of Things, obtains the name and working status of the IoT device, and sends it to the control module of the software system, so that the control module learns the The IoT devices included in the current IoT, and the current working status of each IoT device.

The execution order of the above step 303 and step 304 is not limited, as long as both are executed before step 305 .

Step 305: the control module creates a control program for the IoT device.

In this step, the control module has been able to know all the IoT devices included in the current IoT according to the report of the second detector in step 304, and then, the control module creates a corresponding control program for each IoT device.

Step 305 is executed after steps 301 to 304 are executed, and is executed at step 308. The execution order of step 305 and other steps is not limited.

Step 306: The control module obtains the initial state information of the body and sends it to the intelligent module of the software system according to the name and detection data of the sensor and the name and working status of the IoT device, using the sensor and the IoT device as the body.

In this step, the control module extracts the above ontology from information such as the name of the sensor, the detection data of the sensor, the name of the IoT device, and the working status of the IoT device according to the reports of the first detector and the second detector. The ontology initial state information corresponding to each ontology in the model. For example, according to the information reported by the first detector and the second detector, the initial state information of the ontology corresponding to the ontology named "person" is extracted as "person", and the initial state information of the ontology corresponding to the ontology named "projector" is "closure". Then, the control module of the software system sends the initial state information of the main body to the intelligent module of the software system, for example: "There is someone in the meeting room, and the projector is off".

Step 307: The intelligent module includes an inference engine equipped with ontology and execution rules, sets the initial state of the ontology in the inference engine according to the initial state information of the ontology, runs the inference engine, obtains device operation instructions according to the initial state of the ontology and execution rules, and returns them to control module.

In this step, the intelligent module first sets the initial state of the ontology in the reasoning machine to the state indicated in the ontology initial state information sent by the control module in step 306; then, runs the reasoning machine, because the reasoning machine has been preset In order to execute the rules, the corresponding equipment operation instructions can be obtained through the operation of the reasoning machine. For example, the initial state information of the main body is "there are people in the meeting room, and the projector is off", according to the pre-set "if there are people in the meeting room and the projector is off, the projection screen is put away and all the lights are turned on" preset in the inference machine. According to the rules, after running the inference engine, the equipment operation instructions of "put away the projection screen and turn on all the lights" are obtained. After obtaining the equipment operation instruction, the intelligent module returns the equipment operation instruction to the control module.

Step 308: The control module controls the second detector to reset the working state of the IoT device according to the device operation instruction.

In this step, specifically, the control module runs the control program of the IoT device according to the device operation instruction, and controls the second detector to reset the working state of the IoT device to the working state indicated in the device operation instruction. For example, the control module controls the second detector to set the working state of the projection screen as stowed and the working state of all the lights as on according to the device operation instruction of "close the projection screen and turn on all lights".

On the basis of the above technical solution, if the Internet of Things devices and/or execution rules change in the above Internet of Things, the ontology and execution rules in the reasoning machine can be reset according to the result of the change. Changes in IoT devices refer to the addition of new devices to the IoT or the removal of existing devices from the IoT. For example, still taking the application scenario of the above-mentioned smart conference room as an example, if a humidifier is added to the above-mentioned Internet of Things, and the rule "if the relative humidity is lower than 40%, turn on the humidifier" is added to the execution rules, then inference Add an ontology named "humidifier" to the ontology model in the machine, and add the above rules to the execution rules in the inference machine. When the above method is used to control the IoT device, the name of the humidity sensor and its detection data for the current humidity can be obtained through the detection of the first detector; the name and current humidity of the humidifier can be obtained through the detection of the second detector. working status. The control module creates a control program for the humidifier according to the detection results of the first detector and the second detector, and extracts the initial status information of the body named "humidifier". Since the above rules are added to the inference engine, by running the inference engine, the equipment operation instructions for the humidifier can be obtained. Therefore, when there is an increase or decrease of IoT devices, only the ontology in the reasoning machine needs to be added or deleted, and when the execution rules are changed, the execution rules in the reasoning machine can be added or deleted quickly, conveniently, and efficiently. Flexibly adapt to the needs of the changed Internet of Things.

In the second embodiment of the present invention, a control method based on ontology theory is adopted to map devices in the Internet of Things into ontology, set ontology and execution rules in the inference engine, and obtain device operation instructions by running the inference engine. Therefore, when one or both of the devices of the Internet of Things or the execution rules change, only the ontology or the execution rules in the reasoning machine need to be modified to adapt to the changed Internet of Things environment. This method can quickly and It is convenient and flexible to adapt to the needs of the changed Internet of Things.

FIG. 5 is a schematic structural diagram of a control device for an Internet of Things device according to Embodiment 3 of the present invention. Referring to Fig. 1 and Fig. 5, the software system 15 in Fig. 1 constitutes the control device of the IoT device in the Internet of Things, and Fig. 5 shows the detailed internal structure of the control device of the IoT device. As shown in FIG. 5 , the control device of the Internet of Things device is composed of a software system 15 , specifically including an interconnected control module 151 and an intelligent module 152 , wherein the intelligent module 152 includes an inference engine 1520 .

The control module 151 is used to take the sensor 12 and the IoT device 11 as the body according to the name and detection data of the sensor 12 detected by the first detector 13 and the name and working status of the IoT device 11 detected by the second detector 14 , acquire the initial state information of the main body and send it to the intelligent module 152 of the software system 15, and control the second detector 14 to reset the working state of the IoT device 11 according to the device operation instruction returned by the intelligent module 152.

The intelligent module 152 includes an inference engine 1520 provided with ontology and execution rules, which is used to set the initial state of the ontology in the inference engine 1520 according to the initial state information of the ontology, run the inference engine 1520, and obtain equipment operation instructions according to the initial state of the ontology and execution rules And return to the control module 151.

On the basis of the above solution, specifically, the execution rules in the inference engine 1520 are set by using the semantic web rule language SWRL.

On the basis of the above solution, specifically, the ontology in the inference engine 1520 is set by using the ontology network language OWL.

On the basis of the above solution, further, the intelligent module 152 is further configured to rerun the reasoning machine 1520 when the ontology and/or execution rules in the reasoning machine 1520 change.

On the basis of the above solution, the control module 151 is also used to create the control program of the IoT device 11, and the control module 151 is specifically used to run the control program of the IoT device 11 according to the device operation instructions, and control the second detector 14 Reset the working state of the IoT device 11 to the working state indicated in the device operation instruction.

Referring to FIG. 1 , each component in the structure of the Internet of Things shown in FIG. 1 will be introduced in detail below. As shown in FIG. 1 , the Internet of Things at least includes: an Internet of Things device 11 , a sensor 12 , a first detector 13 , a second detector 14 and a software system 15 . Among them, multiple Internet of Things devices 11 may be included, such as: fluorescent lamps, air conditioners, and the like. Furthermore, multiple sensors 12 may be included, such as brightness sensors, temperature sensors, humidity sensors, and the like. The software system 15 includes a control module 151 and an intelligent module 152 that are connected to each other, wherein the intelligent module 152 includes an inference engine 1520 . One side of the first detector 13 is connected to each sensor 12 , and the other side is connected to the control module 151 . One side of the second detector 14 is connected to each IoT device 11 , and the other side is connected to the control module 151 .

Among them, the sensor 12 is used to detect the environment of the Internet of Things and the working status of the Internet of Things device 11 .

The IoT device 11 is used to execute its own functions under the control of the control module 151 of the software system 15 .

The first detector 13 is used to detect and obtain the name and detection data of the sensor 12 and send them to the control module 151 of the software system 15 .

The second detector 14 is used to detect and obtain the name and working status of the IoT device 11 , and send it to the control module 151 of the software system 15 .

The software system 15 includes a control module 151 and an intelligent module 152 .

The control module 151 is used to obtain the initial state information of the body and send it to the intelligent module 152 of the software system 15 according to the name and detection data of the sensor 12 and the name and working status of the Internet of Things device 11, using the sensor 12 and the Internet of Things device 11 as the main body , and, according to the device operation instruction returned by the intelligent module 152, the second detector 14 is controlled to reset the working state of the IoT device 11.

The intelligent module 152 includes an inference engine 1520 provided with ontology and execution rules, which is used to set the initial state of the ontology in the inference engine 1520 according to the initial state information of the ontology, run the inference engine 1520, and obtain equipment operation instructions according to the initial state of the ontology and execution rules And return to the control module 151.

On the basis of the above solution, specifically, the execution rules in the inference engine 1520 are set by using the semantic web rule language SWRL.

On the basis of the above solution, specifically, the ontology in the inference engine 1520 is set by using the ontology network language OWL.

On the basis of the above solution, further, the intelligent module 152 is further configured to rerun the reasoning machine 1520 when the ontology and/or execution rules in the reasoning machine 1520 change.

On the basis of the above solution, the control module 151 is also used to create the control program of the IoT device 11, and the control module 151 is specifically used to run the control program of the IoT device 11 according to the device operation instructions, and control the second detector 14 Reset the working state of the IoT device 11 to the working state indicated in the device operation instruction. FIG. 6 is a schematic structural diagram of the Internet of Things according to Embodiment 4 of the present invention. Embodiment 4 of the present invention is a specific example of the Internet of Things structure shown in FIG. 1 above. In this specific example, the IoT devices include: fluorescent lamps, air conditioners, humidifiers, projectors, projection screens, and loudspeakers; the sensors include: brightness sensors, temperature sensors, and humidity sensors.

In Embodiment 4 of the present invention, the Internet of Things is controlled based on ontology theory, and the devices in the Internet of Things are mapped to ontology in the software system, and the ontology and execution rules are set in the inference engine of the intelligent module, and the device is obtained by running the inference engine Operating instructions. Therefore, when one or both of the devices of the Internet of Things or the execution rules change, only the ontology or the execution rules in the reasoning machine need to be modified to adapt to the changed Internet of Things environment. This method can quickly and It is convenient and flexible to adapt to the needs of the changed Internet of Things.

Those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by program instructions and related hardware. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above-mentioned method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other various media that can store program codes.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. scope.

Claims (10)

1. the control method of an Internet of Things equipment is characterized in that, comprising:

The title of the sensor that control module detects according to first detector and the title and the duty that detect the Internet of Things equipment that the data and second detector detect;, obtain the body initial state information and send to the intelligent object of said software systems as body with said sensor and said Internet of Things equipment;

Said intelligent object comprises the inference machine that is provided with body and executing rule; The original state of body in the said inference machine is set according to said body initial state information; Move said inference machine; According to the original state and the said executing rule of said body, obtain the operation of equipment instruction and return to said control module;

Said control module is instructed according to said operation of equipment, controls said second detector duty of said Internet of Things equipment of resetting.

2. method according to claim 1; It is characterized in that; The title of the sensor that said control module detects according to first detector and the title and the duty that detect the Internet of Things equipment that the data and second detector detect;, obtain the body initial state information and send to before the intelligent object of said software systems as body with said sensor and said Internet of Things equipment, also comprise:

In said inference machine, adopt semantic net rule language SWRL that said executing rule is set.

3. method according to claim 1; It is characterized in that; The title of the sensor that said control module detects according to first detector and the title and the duty that detect the Internet of Things equipment that the data and second detector detect;, obtain the body initial state information and send to before the intelligent object of said software systems as body with said sensor and said Internet of Things equipment, also comprise:

In said inference machine, adopt body network language OWL that said body is set.

4. according to any described method in the claim 1 to 3, it is characterized in that, also comprise:

When the body in the said inference machine and/or executing rule change, rerun said inference machine.

5. method according to claim 1 is characterized in that,

The title of the sensor that said control module detects according to first detector and the title and the duty that detect the Internet of Things equipment that the data and second detector detect; With said sensor and said Internet of Things equipment as body; Obtain the body initial state information and send to before the intelligent object of said software systems, also comprise: said control module is created the control program of said Internet of Things equipment;

Said control module is instructed according to said operation of equipment; Controlling the reset duty of said Internet of Things equipment of said second detector comprises: said control module is instructed according to said operation of equipment; Move the control program of said Internet of Things equipment, control the duty that said second detector resets to the duty of said Internet of Things equipment indication in the said operation of equipment instruction.

6. the control device of an Internet of Things equipment is characterized in that, comprising:

Control module; The title of the sensor that is used for detecting and the title and the duty that detect the Internet of Things equipment that the data and second detector detect according to first detector;, obtain the body initial state information and send to the intelligent object of said software systems as body with said sensor and said Internet of Things equipment, and; Said second detector duty of said Internet of Things equipment of resetting is controlled in the operation of equipment instruction of returning according to said intelligent object;

Intelligent object; Comprise the inference machine that is provided with body and executing rule; Be used for being provided with the original state of said inference machine body according to said body initial state information; Move said inference machine,, obtain the operation of equipment instruction and return to said control module according to the original state and the said executing rule of said body.

7. device according to claim 6 is characterized in that,

Said executing rule in the said inference machine is to adopt semantic net rule language SWRL to be provided with;

And/or the said body in the said inference machine is to adopt body network language OWL to be provided with.

8. according to claim 6 or 7 described devices, it is characterized in that,

Said intelligent object also is used for when the body of said inference machine and/or executing rule change, reruning said inference machine.

9. device according to claim 6 is characterized in that,

Said control module specifically is used to create the control program of said Internet of Things equipment; According to said operation of equipment instruction; Move the control program of said Internet of Things equipment, control the duty that said second detector resets to the duty of said Internet of Things equipment indication in the said operation of equipment instruction.

10. an Internet of Things is characterized in that, comprising:

Sensor is used to detect the duty of the environment and the Internet of Things equipment of Internet of Things;

Internet of Things equipment is used under the control of the control module of software systems, carrying out self function;

First detector is used to survey and obtain the title and detection data of said sensor, and sends to the control module of said software systems;

Second detector is used to survey and obtain the title and the duty of said Internet of Things equipment, and sends to the control module of said software systems;

And like the control device of any described Internet of Things equipment in the claim 6 to 9.

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