Intelligent equipment unmanned operation supervision system based on multi-terminal Internet of Things

Abstract

The invention discloses an intelligent equipment unmanned operation supervision system based on a multi-terminal Internet of Things, relates to the technical field of intelligent equipment supervision, and improves the response efficiency of a supervision process. According to the invention, scene device nodes are established according to the distribution condition of each intelligent device, and a device association network is established according to the historical interaction data set of each scene interaction object; an object state change chain, an equipment state change chain and an instruction relation chain are established according to the equipment interaction sequence of the scene interaction object in the equipment association network and the intelligent equipment, and the object state change chain, the equipment state change chain and the instruction relation chain are associated according to a trapezoidal state to obtain a scene interaction management network; and inputting the initial state into a scene interaction management network, setting an operation industrial control decision for intelligent equipment associated with the scene interaction object, and performing real-time supervision in a process that the intelligent equipment interacts with the scene interaction object according to the operation industrial control decision.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent device supervision, and in particular to an unmanned operation supervision system for intelligent devices based on a multi-terminal Internet of Things. Background Art

[0002] With the rapid development of Internet of Things technology, smart devices are being used more and more widely in various fields. However, the unmanned operation of smart devices has brought new challenges, especially in the monitoring and management of devices. This paper proposes an unmanned operation supervision system for smart devices based on multi-terminal Internet of Things, which aims to achieve real-time monitoring and effective management of smart devices by integrating sensors, communication networks and data processing technologies.

[0003] The existing unmanned intelligent equipment supervision technology has the following defects:

[0004] Limited intelligent decision-making capabilities: The intelligent decision-making capabilities of existing unmanned management systems are limited by algorithms and data processing capabilities. When faced with complex and dynamic environments, decision-making efficiency and accuracy are low.

[0005] Insufficient real-time data processing capabilities: For application scenarios that require real-time response, the data processing and response capabilities of the existing system may not be able to meet the needs, resulting in the real-time and reliability of the system being affected.

[0006] Therefore, how to ensure the accuracy of operation supervision of smart devices by operation decisions while improving the response efficiency of the supervision process is a difficulty in the existing technology. To this end, an unmanned operation supervision system for smart devices based on a multi-terminal Internet of Things is provided. Summary of the invention

[0007] In order to solve the above technical problems, the purpose of the present invention is to provide an unmanned operation supervision system for smart devices based on a multi-terminal Internet of Things.

[0008] In order to achieve the above object, the present invention provides the following technical solutions:

[0009] An unmanned operation supervision system for intelligent devices based on a multi-terminal Internet of Things includes a cloud computing platform, wherein the cloud computing platform is communicatively connected with a device operation status data acquisition module, a device association network module, and a device operation supervision module;

[0010] The device operation data collection module is used to collect a number of historical operation status data and historical industrial control data between various scene interaction objects and various intelligent devices, and integrate various data to generate a historical interaction data set;

[0011] The device association network module is used to establish scene device nodes according to the distribution status of each smart device, and to establish a corresponding device association network according to the historical interaction data set of each scene interaction object, and then to establish an object state change chain, a device state change chain and an instruction relationship chain according to the device interaction sequence between the scene interaction objects and each smart device in the device association network, and to associate the object state change chain, the device state change chain and the instruction relationship chain in a trapezoidal state to obtain a scene interaction management network.

[0012] The device operation supervision module is used to obtain the initial state data of the scene interaction object and input the initial state into the scene interaction management network, thereby setting operation industrial control decisions for the smart devices associated with the scene interaction objects, and performing real-time supervision on the process of the smart devices interacting with the scene interaction objects according to the operation industrial control decisions until all operation industrial control decisions are executed.

[0013] Furthermore, the device operation status data collection module sets a number for each smart device in the application scenario;

[0014] The smart device is composed of a hardware device and a communication device, wherein the hardware device is used for the smart device to physically interact with scene objects or other smart devices in the application scene, and the communication device is used to control the hardware device according to the operation industrial control decision from the device operation supervision module, and to interact with the communication device of other smart devices for data;

[0015] The device operation status data acquisition module sets several types of sensors for the hardware devices in each smart device within the application scenario, and installs multiple data embedding points for the communication equipment. Each sensor is connected to the communication equipment for communication, and then the communication equipment retrieves multiple sensors and binds them to each hardware device according to the type of hardware device.

[0016] Furthermore, the collection process of the historical interaction data set includes:

[0017] Obtaining the initial state data and final state data of each scene interaction object, setting a number for each type of scene interaction object, and issuing object data collection instructions according to the data type of the initial state data and final state data of each scene interaction object;

[0018] The time node when the smart device in the application scenario interacts with the scene interactive object for the first time is taken as the starting time. The device operation status data collection module calls the corresponding sensor to collect various status data of the scene interactive object according to the object data collection instruction. At the same time, the sensor on the smart device collects the operation status data of the hardware device and marks the corresponding smart device number and collection time.

[0019] The data points located at each communication device automatically collect interactive collaboration instructions or object handover instructions, and mark the collection results with the smart device number and collection time, thereby obtaining the industrial control data when each smart device interacts with the scene interactive objects;

[0020] When the device operation status data acquisition module determines that the scene interaction object has reached the corresponding final status data, it is determined that the interaction of the corresponding scene interaction object is completed, and the time node of the interaction completion is taken as the end time, and the industrial control data, operation status data and status data before and after the scene interaction object interacts with each smart device generated by the smart device that has interacted with the scene interaction object during the start time and the end time are integrated to obtain the interaction data set of the corresponding scene interaction object;

[0021] Through the above process of obtaining the interaction data set of each scene interaction object, the device operation status data acquisition module obtains several historical interaction data sets and real-time interaction data sets of each scene interaction object.

[0022] Furthermore, the process of establishing the device association network includes:

[0023] The device association network module establishes scene device nodes according to the distribution status and data of each smart device in the application scene, and marks each scene device node with the corresponding smart device number;

[0024] Establish a two-dimensional coordinate system, map the historical operation status data of each scene device node on the two-dimensional coordinate system in chronological order, and obtain the device interaction sequence between the corresponding scene interaction object and each smart device through the historical interaction data set;

[0025] Determine whether the historical operating status data of each smart device in the two-dimensional coordinate system overlaps at the same time node, and determine whether there is a progressive relationship between the corresponding two scene device nodes. According to the judgment results, set association lines between each scene device node to obtain a device association network.

[0026] Furthermore, the process of establishing the object state change chain includes:

[0027] From each historical interaction data set of the same scene interaction object, extract the historical state data before and after the scene interaction object interacts with each scene device, and map it to a two-dimensional coordinate system;

[0028] According to the device interaction sequence between the scene interaction object and each smart device, the historical state data before and after the interaction with the same scene device are accumulated and the average value is taken, and the average value is recorded as the standard state data. Then, according to the standard state data before and after the scene interaction object interacts with each scene device, the object state change chain of the corresponding historical operation data set is established.

[0029] Furthermore, the process of establishing the scene interaction management network includes:

[0030] Extract all historical industrial control data from all historical interaction data sets of scene interaction objects, and then use a process similar to establishing an object state change chain to establish a device state change chain and a command relationship chain. According to the device association network, the object state change chain, the device state change chain and the command relationship chain are associated in a trapezoidal state, thereby obtaining a scene interaction management network of scene interaction objects;

[0031] For any scene interaction object, from the scene interaction management network corresponding to its different historical interaction data sets, extract the difference between each standard state data set as the dependent variable, and use the difference between various standard operating state data of the corresponding smart device in the device state change chain as the independent variable to obtain the multivariate linear regression equation of the difference between various standard operating state data and the standard state data set;

[0032] The constant coefficients of the independent variables are extracted from the multivariate linear regression equation and recorded as the association correction parameters between the corresponding scene device nodes. The interaction start time is obtained based on the historical industrial control data with the collection time, and then the association correction parameters and the interaction start time are marked between the corresponding scene device nodes in the scene interaction management network.

[0033] Furthermore, the operation industrial control decision generation process includes:

[0034] The equipment operation supervision module extracts the initial state data of the corresponding scene interaction objects from the real-time interaction data set, and calls the corresponding scene interaction management network according to the type of scene interaction objects, and inputs the initial state data into the scene interaction management network, and then generates corresponding operation industrial control decisions according to the associated correction parameters and interaction start time of each scene device node in the scene interaction management network. The operation industrial control decision includes the expected value of the operation state data of each hardware device of the corresponding intelligent device when interacting with the scene interaction, the time node when the communication device generates an interactive collaboration instruction or an object handover instruction, and the number of the intelligent device sent to the target.

[0035] Furthermore, the execution process of the operation industrial control decision includes:

[0036] The operation industrial control decision is sent to the communication device of the corresponding intelligent device, and then the communication device controls the hardware device to interact with the scene interaction object according to the operation industrial control decision;

[0037] The device data error threshold and the object status data error threshold are set, and the communication device collects the real-time operation status data of each hardware device and the real-time status data of the scene interaction objects in real time, and then determines whether the difference between the real-time operation status data and the corresponding standard operation status data is less than or equal to the device data error threshold, and determines whether the difference between the real-time status data of the scene interaction object and the corresponding standard status data is less than or equal to the object status data error threshold, and regenerates the operation industrial control decisions of all intelligent devices based on the judgment results.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] The present invention further establishes an object state change chain, a device state change chain and a command relationship chain according to the device interaction sequence between the scene interaction object and each intelligent device in the device association network, associates the object state change chain, the device state change chain and the command relationship chain in a trapezoidal state to obtain a scene interaction management network, inputs the initial state into the scene interaction management network, and then sets operation industrial control decisions for the intelligent devices associated with the scene interaction objects, and performs real-time supervision on the process in which the intelligent devices interact with the scene interaction objects according to the operation industrial control decisions, thereby ensuring the accuracy of the operation supervision of the intelligent devices by the operation decisions and improving the response efficiency of the supervision process. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention.

[0041] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0042] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0043] like Figure 1 As shown, an unmanned operation supervision system for intelligent devices based on a multi-terminal Internet of Things includes a cloud computing platform, and the cloud computing platform is communicatively connected with a device operation status data acquisition module, a device association network module, and a device operation supervision module;

[0044] The device operation data collection module is used to collect a number of historical operation status data and historical industrial control data between various scene interaction objects and various intelligent devices, integrate various data to generate a historical interaction data set, and send all historical interaction data to the device management network module;

[0045] The device association network module is used to establish scene device nodes according to the distribution status of each smart device, and to establish a corresponding device association network according to the historical interaction data set of each scene interaction object, and then to establish an object state change chain, a device state change chain and an instruction relationship chain according to the device interaction sequence between the scene interaction objects and each smart device in the device association network, and to associate the object state change chain, the device state change chain and the instruction relationship chain in a trapezoidal state to obtain a scene interaction management network.

[0046] The device operation supervision module is used to obtain the initial state data of the scene interaction object and input the initial state into the scene interaction management network, thereby setting operation industrial control decisions for the smart devices associated with the scene interaction objects, and performing real-time supervision on the process of the smart devices interacting with the scene interaction objects according to the operation industrial control decisions until all operation industrial control decisions are executed.

[0047] Further, the working principle of the present invention is described below by way of examples:

[0048] The device operation status data collection module sets the number a1, a2, a3, ..., a for each smart device in the application scenario. n , where n is a natural number greater than 0;

[0049] The application scenarios include, for example, farm greenhouses, industrial manufacturing production lines, and smart storage shelves;

[0050] The smart device is composed of a hardware device and a communication device, wherein the hardware device is used for the smart device to physically interact with scene objects or other smart devices in the application scene, and the communication device is used to control the hardware device according to the operation industrial control decision from the device operation supervision module, and to interact with the communication device of other smart devices for data;

[0051] For example, the hardware equipment of the intelligent equipment on the production line may be a robotic arm, a file, etc., and its communication equipment may control the robotic arm or the file to process the product;

[0052] The device operation status data acquisition module sets several types of sensors for the hardware devices in each smart device in the application scenario, and installs multiple data embedding points for the communication device. Each sensor is connected to the communication device for communication. Then, the communication device retrieves multiple sensors and binds them to each hardware device according to the type of hardware device.

[0053] For example, if the hardware device is a robotic arm, the sensors bound to it are pressure sensors, microwave sensors, vibration sensors, etc. If the hardware device is a transformer, the sensors bound to it are voltage sensors, current sensors, etc.

[0054] Furthermore, several scene interaction objects are set, and the scene interaction objects may be processed products, transported goods, etc.;

[0055] The staff uploads the initial state data and final state data of each scene interaction object. It should be noted that the data types of the initial state data and final state data of different scene interaction objects are different;

[0056] For example, when the scene interaction object is a processed product, its initial state data is the image data and infrared data of the raw materials of each product, and the final state data is the image data and infrared data after processing. When the scene interaction object is transporting goods, its initial state data is the current spatial position information, and the final state data is the target spatial position information;

[0057] The equipment operation status data acquisition module sets numbers s1, s2, s3, ..., s m , and object data collection instructions according to the data types of the initial state data and the final state data of each scene interaction object, where m is a natural number greater than 0;

[0058] According to the data types of the initial state data and final state data of each scene interaction object, corresponding sensors are installed in the application scene, and then the time node when the smart device in the application scene interacts with the scene interaction object for the first time is taken as the starting time. The device operation status data collection module calls the corresponding sensor to collect various status data of the scene interaction object according to the object data collection instruction. At the same time, the sensor on the smart device collects the operation status data of the hardware device and marks the corresponding smart device number and collection time. It should be noted that any smart device can only interact with one scene interaction object at the same time;

[0059] During or after the interaction between a smart device and a scene interactive object, the communication device can generate interactive collaboration instructions or object handover instructions to the communication devices of other smart devices. At the same time, the data buried points located in each communication device automatically collect the interactive collaboration instructions or object handover instructions, and mark the collection results with the corresponding smart device number and collection time, thereby obtaining the industrial control data when each smart device interacts with the scene interactive object;

[0060] When the device operation status data acquisition module determines that the scene interaction object has reached the corresponding final status data, the interaction of the corresponding scene interaction object is judged to be completed, and the time node of the interaction completion is taken as the end time. The industrial control data, operation status data and status data before and after the scene interaction object interacts with each smart device generated by the smart devices that have interacted with the scene interaction object during the start time and the end time are integrated to obtain the interaction data set of the corresponding scene interaction object.

[0061] Furthermore, through the above process of obtaining the interaction data set of each scene interaction object, the device operation status data acquisition module obtains several historical interaction data sets and real-time interaction data sets of each scene interaction object. It should be noted that in the historical interaction data sets of the same scene interaction object, the initial state data or final state data of the scene interaction object is different;

[0062] The equipment operation status data acquisition module sends the historical interaction data sets of all scene interaction objects to the equipment management network module;

[0063] The device association network module establishes scene device nodes according to the distribution status and data of each smart device in the application scene, and marks each scene device node with the corresponding smart device number;

[0064] Establish a two-dimensional coordinate system, map the historical operation status data of each scene device node on the two-dimensional coordinate system in chronological order, and obtain the device interaction sequence between the corresponding scene interaction object and each smart device through the historical interaction data set;

[0065] Determine whether the historical operating status data of each smart device in the two-dimensional coordinate system overlaps at the same time node. If not, do not perform any operation;

[0066] If it exists, it is further determined whether there is a progressive relationship between the two corresponding scene device nodes according to the device interaction sequence. If not, a second-level association line is set between the two corresponding scene device nodes. If it exists, the corresponding time node is recorded as the collaborative interaction time node of the two corresponding scene device nodes, and then the collaborative interaction time node of each scene device node is collected in each historical interaction data set of each scene interaction object, and a first-level association line is set between the two corresponding scene device nodes, so as to obtain a device association network;

[0067] From each historical interaction data set of the same scene interaction object, extract the historical state data before and after the scene interaction object interacts with each scene device, and map it to a two-dimensional coordinate system;

[0068] According to the device interaction sequence between the scene interaction object and each smart device, the historical state data before and after the interaction with the same scene device are accumulated and the average value is taken, and the average value is recorded as the standard state data. Then, according to the standard state data before and after the scene interaction object interacts with each scene device, the object state change chain of the corresponding historical operation data set is established, where the object state change chain can be expressed as P0(f 0，1 、f 0，2 ,……,f 0，t )→P1(f 1，1 、f 1，2 ,……,f 1，t )→……, where P0(f 0，1 、f 0，2 ,……,f 0，t ) represents the initial state data set of the scene interaction objects, f 0，t represents the tth initial state data set, P1(f 1，1 、f 1，2 ,……,f 1，t ) represents the standard state data set after the scene interaction object interacts with the smart device numbered a1, f 1，t The tth standard state data after interacting with the smart device numbered a1, where t is a natural number greater than 0;

[0069] Extract all historical industrial control data from all historical interaction data sets of scene interaction objects, and then use a process similar to establishing an object state change chain to establish a device state change chain and a command relationship chain. According to the device association network, the object state change chain, the device state change chain and the command relationship chain are associated in a trapezoidal state, thereby obtaining a scene interaction management network of scene interaction objects;

[0070] For any scene interaction object, from the scene interaction management network corresponding to its different historical interaction data sets, the difference between each standard state data set is extracted as the dependent variable, and the difference between various standard operating state data of the corresponding smart device in the device state change chain is used as the independent variable to obtain the multivariate linear regression equation of the difference between various standard operating state data and the standard state data set, where the multivariate linear regression equation can be expressed as Q=a1G1+a2G2+……;

[0071] Where Q represents the difference before and after the standard state data set, G represents the difference before and after the standard operation state data of the smart device, and a represents the associated correction parameter of the corresponding type of operation state data;

[0072] The associated correction parameters of each type of operating status data are mapped to the corresponding level association line of the scene interaction management network, and the interaction start time is marked on the corresponding level association line according to the collection time of the historical industrial control data.

[0073] Further, the device association network module sends the scene interaction management network to the device operation supervision module;

[0074] The equipment operation supervision module extracts the initial state data of the corresponding scene interaction object from the real-time interaction data set, and calls the corresponding scene interaction management network according to the type of scene interaction object, inputs the initial state data into the scene interaction management network, and then generates the corresponding operation industrial control decision according to the associated correction parameters and interaction start time of each scene device node in the scene interaction management network. The operation industrial control decision includes the expected value of the operation state data of each hardware device of the corresponding smart device when interacting with the scene interaction, the time node when the communication device generates the interactive collaboration instruction or the object handover instruction, and the smart device number sent to the target;

[0075] The operation industrial control decision is sent to the communication device of the corresponding intelligent device, and then the communication device controls the hardware device to interact with the scene interaction object according to the operation industrial control decision;

[0076] The device data error threshold and the object state data error threshold are set, and the communication device collects the real-time operation state data of each hardware device and the real-time state data of the scene interaction object in real time, and then determines whether the difference between the real-time operation state data and the corresponding standard operation state data is less than or equal to the device data error threshold, and determines whether the difference between the real-time state data of the scene interaction object and the corresponding standard state data is less than or equal to the object state data error threshold;

[0077] If both judgment results are within the corresponding error threshold, the current scene interaction is judged to be normal, and when the time node for generating the interactive collaboration instruction or object handover instruction of the industrial control decision is reached, the communication device sends the interactive collaboration instruction or object handover instruction to the corresponding smart device;

[0078] Otherwise, the current scene interaction is judged to be abnormal, and the device operation supervision module regenerates the operation control decisions of all intelligent devices based on the real-time operation status data of the hardware equipment and the real-time status data of the scene interaction objects until the interaction between the scene interaction objects and each intelligent device is completed.

[0079] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An unmanned operation monitoring system for intelligent devices based on multi-terminal Internet of Things, including a cloud computing platform, characterized in that: The cloud computing platform is communicatively connected with a device operation status data acquisition module, a device association network module and a device operation supervision module; The device operation data collection module is used to collect a number of historical operation status data and historical industrial control data between various scene interaction objects and various intelligent devices, and integrate various data to generate a historical interaction data set; The device association network module is used to establish scene device nodes according to the distribution status of each smart device, and to establish a corresponding device association network according to the historical interaction data set of each scene interaction object, and then to establish an object state change chain, a device state change chain and an instruction relationship chain according to the device interaction sequence between the scene interaction objects and each smart device in the device association network, and to associate the object state change chain, the device state change chain and the instruction relationship chain in a trapezoidal state to obtain a scene interaction management network. The device operation supervision module is used to obtain the initial state data of the scene interaction object and input the initial state into the scene interaction management network, thereby setting operation industrial control decisions for the smart devices associated with the scene interaction objects, and performing real-time supervision on the process of the smart devices interacting with the scene interaction objects according to the operation industrial control decisions until all operation industrial control decisions are executed.

2. According to claim 1, the unmanned operation supervision system of intelligent devices based on multi-terminal Internet of Things is characterized in that: The device operation status data collection module sets a number for each smart device in the application scenario; The smart device is composed of a hardware device and a communication device, wherein the hardware device is used for the smart device to physically interact with scene objects or other smart devices in the application scene, and the communication device is used to control the hardware device according to the operation industrial control decision from the device operation supervision module, and to interact with the communication device of other smart devices for data; The equipment operation status data acquisition module sets several types of sensors for the hardware devices in each smart device in the application scenario, and installs multiple data embedding points for the communication equipment, and each sensor is connected to the communication equipment for communication.

3. According to claim 2, the unmanned operation supervision system of intelligent devices based on multi-terminal Internet of Things is characterized in that: The collection process of the historical interaction data set includes: Obtaining the initial state data and final state data of each scene interaction object, setting a number for each type of scene interaction object, and issuing object data collection instructions according to the data type of the initial state data and final state data of each scene interaction object; According to the object data collection instruction, the corresponding sensor is called to collect the various status data of the interactive objects in the scene. At the same time, the sensor on the smart device collects the operating status data of the hardware device and marks the corresponding smart device number and collection time; The data points located at each communication device automatically collect interactive collaboration instructions or object handover instructions, and mark the collection results with the smart device number and collection time, thereby obtaining the industrial control data when each smart device interacts with the scene interactive objects; Integrate the industrial control data, operation status data generated by the intelligent devices that have interacted with the scene interaction objects, and the status data before and after the scene interaction objects interact with each intelligent device to obtain the interaction data set corresponding to the scene interaction objects; Through the above process of obtaining the interaction data set of each scene interaction object, the device operation status data acquisition module obtains several historical interaction data sets and real-time interaction data sets of each scene interaction object.

4. According to claim 3, the unmanned operation supervision system of intelligent devices based on multi-terminal Internet of Things is characterized in that: The process of establishing the device association network includes: The device association network module establishes scene device nodes according to the distribution status and data of each smart device in the application scene, and marks each scene device node with the corresponding smart device number; Establish a two-dimensional coordinate system, map the historical operation status data of each scene device node on the two-dimensional coordinate system in chronological order, and obtain the device interaction sequence between the corresponding scene interaction object and each smart device through the historical interaction data set; Determine whether the historical operating status data of any pair of smart devices in the two-dimensional coordinate system overlap at the same time node, and determine whether there is a progressive relationship between the corresponding two scene device nodes. According to the judgment results, set association lines between each scene device node to obtain a device association network.

5. According to claim 4, the unmanned operation supervision system of intelligent devices based on multi-terminal Internet of Things is characterized in that: The process of establishing the object state change chain includes: From each historical interaction data set of the same scene interaction object, extract the historical state data before and after the scene interaction object interacts with each scene device, and map it to a two-dimensional coordinate system; According to the device interaction sequence between the scene interaction object and each smart device, the historical state data before and after the interaction with the same scene device are accumulated and the average value is taken, and the average value is recorded as the standard state data. Then, according to the standard state data before and after the scene interaction object interacts with each scene device, the object state change chain of the corresponding historical operation data set is established.

6. According to claim 5, the unmanned operation supervision system of intelligent devices based on multi-terminal Internet of Things is characterized in that: The process of establishing the scene interaction management network includes: Extract all historical industrial control data from all historical interaction data sets of scene interaction objects, and then use a process similar to establishing an object state change chain to establish a device state change chain and a command relationship chain. According to the device association network, the object state change chain, the device state change chain and the command relationship chain are associated in a trapezoidal state to obtain a scene interaction management network corresponding to the scene interaction object; For any scene interaction object, from the scene interaction management network corresponding to its different historical interaction data sets, extract the difference between each standard state data set as the dependent variable, and use the difference between various standard operating state data of the corresponding smart device in the device state change chain as the independent variable to obtain the multivariate linear regression equation of the difference between various standard operating state data and the standard state data set; The constant coefficients of the independent variables are extracted from the multivariate linear regression equation and recorded as the association correction parameters between the corresponding scene device nodes. The interaction start time is obtained based on the historical industrial control data with the collection time, and then the association correction parameters and the interaction start time are marked between the corresponding scene device nodes in the scene interaction management network.

7. According to claim 6, the unmanned operation supervision system of intelligent devices based on multi-terminal Internet of Things is characterized in that: The operation industrial control decision-making process includes: The equipment operation supervision module extracts the initial state data of the corresponding scene interaction objects from the real-time interaction data set, and calls the corresponding scene interaction management network according to the type of scene interaction objects, and inputs the initial state data into the scene interaction management network, and then generates corresponding operation industrial control decisions according to the associated correction parameters and interaction start time of each scene device node in the scene interaction management network. The operation industrial control decision includes the expected value of the operation state data of each hardware device of the corresponding intelligent device when interacting with the scene interaction, the time node when the communication device generates an interactive collaboration instruction or an object handover instruction, and the number of the intelligent device sent to the target.

8. The unmanned operation monitoring system of intelligent devices based on multi-terminal Internet of Things according to claim 7 is characterized in that: The execution process of the operation industrial control decision includes: The operation industrial control decision is sent to the communication device of the corresponding intelligent device, and then the communication device controls the hardware device to interact with the scene interaction object according to the operation industrial control decision; The device data error threshold and the object status data error threshold are set, and the communication device collects the real-time operation status data of each hardware device and the real-time status data of the scene interaction objects in real time, and then determines whether the difference between the real-time operation status data and the corresponding standard operation status data is less than or equal to the device data error threshold, and determines whether the difference between the real-time status data of the scene interaction object and the corresponding standard status data is less than or equal to the object status data error threshold, and regenerates the operation industrial control decisions of all intelligent devices based on the judgment results.

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