Multi-source environmental data fusion and decision support system based on industrial internet identifier analysis

Abstract

The invention discloses a multi-source environmental data fusion and decision support system based on industrial internet identifier analysis, relates to the technical field of operation supervision, and improves the stability of equipment operation. According to a standard equipment operation data interval and a standard operation environment data interval, operation environment data and equipment operation data are recorded as abnormal operation environment data and abnormal equipment operation data, and then an environment-operation relation equation and an operation-operation relation equation are established; and judging whether the newly generated operation environment data and the equipment operation data are abnormal or not, inputting the abnormal operation environment data and the equipment operation data into the environment-operation relation equation and the operation-operation relation equation, and further generating a local operation regulation and control decision. And performing equipment operation simulation on each local operation regulation and control decision, and generating a global operation regulation and control decision according to an equipment operation simulation result.

Description

Technical Field

[0001] The present invention relates to the field of operation supervision technology, and specifically to a multi-source environmental data fusion and decision support system based on industrial Internet identity resolution. Background Art

[0002] In modern industrial production processes, a large number of sensors are usually deployed in factory environments to monitor various environmental parameters, such as temperature, humidity, pressure, vibration, etc. In addition, these environmental data also come from different data sources, including equipment sensors, external environmental monitoring stations, and historical databases. The collection, fusion, and analysis of multi-source environmental data are of great significance for optimizing production processes, improving equipment operation efficiency, and ensuring production safety. However, due to the diversity of data sources and different data formats, traditional data processing methods are difficult to achieve efficient data fusion and analysis, resulting in insufficient decision support capabilities.

[0003] The prior art generally has the following defects: Difficulties in data collection and fusion: The collection and fusion of multi-source environmental data requires solving problems such as inconsistent data formats and inconsistent data quality. Existing data collection and fusion technologies are difficult to meet the requirements for data real-time and accuracy in industrial production.

[0004] Insufficient decision-making support capabilities: The existing industrial Internet identification resolution system mainly focuses on equipment management and data tracking, lacking comprehensive analysis and decision-making support capabilities for multi-source environmental data, resulting in insufficient production optimization and fault prediction capabilities.

[0005] Therefore, how to generate optimized production scheduling plans and fault prevention measures based on comprehensive environmental monitoring reports and historical data analysis results while deeply mining the fused data and extracting key features is a difficulty in the existing technology. To this end, a multi-source environmental data fusion and decision support system based on industrial Internet identity resolution is provided. Summary of the invention

[0006] In order to solve the above technical problems, the purpose of the present invention is to provide a multi-source environmental data fusion and decision support system based on industrial Internet identity resolution.

[0007] In order to achieve the above object, the present invention provides the following technical solutions: A multi-source environmental data fusion and decision support system based on industrial Internet identity resolution includes a cloud control terminal, wherein the cloud control terminal is provided with a data management module, a decision deployment module and a plurality of local management terminals, wherein the local management terminal is provided with a local data acquisition module, an operation data resolution module and an operation decision analysis module; The data management module is used to receive the operating environment data and equipment operation data of each industrial device uploaded by each local management terminal, and store each data by establishing a data storage network; The decision-making and deployment module is used to input the local operation control decisions uploaded by each local management terminal into the data storage network to perform equipment operation simulation, and generate a global operation control decision according to the equipment operation simulation results; The local data collection module is used to collect the operating environment data and equipment operation data of the industrial equipment associated with the local management terminal; The operation data analysis module is used to obtain various standard equipment operation data intervals and standard operation environment data intervals of various industrial equipment through the Internet, and then record various operation environment data and equipment operation data as abnormal operation environment data and abnormal equipment operation data according to the standard equipment operation data intervals and the standard operation environment data intervals, and then establish the environment-operation relationship equation and the operation-operation relationship equation; The operation decision analysis module is used to determine whether the latest generated operating environment data and equipment operation data have abnormalities, and input the abnormal operating environment data and equipment operation data into the environment-operation relationship equation and the operation-operation relationship equation, thereby generating a local operation control decision.

[0008] Furthermore, the cloud control terminal is communicatively connected to n local management terminals, and each local management terminal is numbered a1, a2, a3, ..., a n , where n is a natural number greater than 0; The local management terminal is associated with multiple industrial devices, and each industrial device is associated with at least two or more local management association terminals. The cloud control terminal sets a number b1, b2, b3, ..., b m , where m is a natural number greater than 0, and the local data acquisition modules in each local management terminal are set with the same data acquisition upload cycle.

[0009] Furthermore, the process of collecting the operating environment data and the equipment operating data includes: The industrial equipment is provided with several environmental sensors and operation sensors, and each sensor uploads the data collected by it to the local data acquisition module; The local data acquisition module records the data it receives as operating environment data and equipment operation data, and whenever a data upload cycle ends, the local data acquisition module converts all the data collected during the data upload cycle into a single Internet identification code, and uploads the single Internet identification code to the data management module of the cloud control terminal.

[0010] Furthermore, the marking process of the abnormal operating environment data and the abnormal equipment operating data includes: Obtain various standard equipment operation data intervals and standard operating environment data intervals of various industrial equipment through the Internet, compare various standard equipment operation data intervals with corresponding equipment operation data generated in each data upload cycle, if it is determined that the equipment operation data is not within the standard equipment operation data interval, then the corresponding equipment operation data is recorded as abnormal equipment operation data, otherwise no operation is performed, and the same operation is used to record various operating environment data as abnormal operating environment data according to the standard operating environment data interval.

[0011] Furthermore, the process of establishing the environment-operation relationship equation includes: At the end of each data upload cycle of the local data acquisition module, the data collected in the data upload cycle is integrated into a device operation data set and an environment operation data set and sent to the operation analysis module and the operation decision analysis module; According to the number of types of operating environment data and device operating data, i environment nodes and j operating nodes are set respectively, where i and j are integers greater than 0; Selecting several sets of environment operation data that only contain one type of abnormal operation environment data, inputting each device operation data and the only abnormal operation environment data in the environment operation data set and its associated device operation data set into each operation node and environment node, and retaining the operation node with the abnormal device operation data; Establish a multi-dimensional coordinate system, map different environment operation data sets and their corresponding equipment operation data sets, corresponding to the abnormal equipment operation data and abnormal operation environment data in the reserved operation nodes into the same multi-dimensional coordinate system; According to each change curve in the multidimensional coordinate system, a multi-segment linear regression equation is established with the environmental operation data as the independent variable and the equipment operation data as the dependent variable. It should be noted that for environmental operation data in different numerical ranges, the types of dependent variables in the corresponding linear regression equation are different; According to the above process of establishing a multi-segment linear regression equation, several sets of environmental operation data in which only two, three, ..., i kinds of abnormal operating environmental data exist and related equipment operation data sets are selected in turn to generate the corresponding multi-segment linear regression equation and record it as the environment-operation relationship equation.

[0012] Furthermore, the process of establishing the data storage network includes: The data management module sets n master data storage nodes, and marks the numbers of the local management terminals on each master data storage node in turn; According to the number of industrial devices associated with each local management terminal, a corresponding number of slave data nodes are set for each master data storage node, and the same number is set for each slave data node according to the industrial device number corresponding to each slave data node; According to the numbering order, each master data storage node is connected in sequence, and then the slave data nodes with the same number in each master data storage node are overlapped, and the spatial position of each slave data node is adjusted according to the distribution of each industrial equipment in the application scenario, thereby obtaining a data storage network.

[0013] Furthermore, the process of establishing the operation-operation relationship equation includes: Select the equipment operation data set that has abnormal equipment operation data but whose associated operation environment data set does not have any abnormal operation environment data, and call the corresponding equipment operation data set according to the connection status between the industrial equipment. Use the process of establishing a multi-segment linear regression equation between the environment operation data and the equipment operation data, and then establish a multi-segment linear regression equation between each abnormal equipment operation data between different industrial equipment, record it as the operation-operation relationship equation, and mark the number of the corresponding industrial equipment.

[0014] Furthermore, the process of establishing the local operation control decision includes: When the operation decision analysis module receives the equipment operation data set and the environment operation data set collected in the latest data upload cycle from the local data collection module, it sets multiple device nodes according to the number of industrial devices associated with the local management terminal, sorts the positions of the device nodes according to the location distribution of the industrial devices, and inputs the data into the corresponding device nodes; Set an operation detection cycle. When an operation detection cycle starts, determine whether there are any abnormalities in the equipment operation data set and the environmental operation data set according to the standard data interval of each equipment operation data and environmental operation data, and record them as abnormal equipment operation data and abnormal operation environment data. If there are no abnormalities, do not do anything. For device nodes with abnormal operating environment data, the corresponding environment-operation relationship equation is retrieved according to the type of abnormal operating environment data and the industrial equipment number, and then the type of equipment operating data that is expected to be abnormal for the corresponding industrial equipment in the next operation detection cycle is obtained. Then, according to the industrial equipment number connected to the device node and the type of equipment operating data that is expected to be abnormal, the corresponding operation-operation relationship equation is retrieved, and then the type of equipment operating data that is expected to be abnormal for the connected industrial equipment is obtained; Then, based on the changing trends of the corresponding equipment operation data, local operation control decisions are generated for the corresponding industrial equipment.

[0015] Furthermore, the process of simulating the operation of equipment for local operation and control decisions includes: Input each local operation control decision into the corresponding slave data node in the data storage network, and use the equipment operation data of each industrial equipment at the end of the previous operation detection cycle as the initial operation data, and perform equipment operation simulation on each slave data node according to the local operation control decision; Modify the initial operation data in the corresponding slave data node according to the local operation control decision, and record the modified initial operation data as adjusted operation data; Then, according to the type of the modified initial operation data and the number of the slave data node to which the corresponding slave data node is connected, the corresponding operation-operation relationship equation is retrieved, and the modified initial operation data is input into the operation-operation relationship equation; Setting an operation difference threshold, obtaining the output result of the operation-operation relationship equation, the difference between the initial operation data or the adjusted operation data of the corresponding type in the slave data nodes connected to the slave data node corresponding to the local operation control decision, and the size relationship between the operation difference threshold, and then setting the adjusted operation data; When all slave data nodes have completed the equipment operation simulation, it is determined whether the adjusted operation data in each slave data node is within the corresponding standard equipment operation data range, and a global operation control decision is generated based on the determination result.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention records each operating environment data and equipment operating data as abnormal operating environment data and abnormal equipment operating data through the standard equipment operating data interval and the standard operating environment data interval, and then establishes the environment-operation relationship equation and the operation-operation relationship equation, realizes in-depth mining of the fused data and extracts key features, and lays a data foundation for the subsequent establishment of global operation control decision-making; 2. The present invention generates local operation control decisions by inputting abnormal operating environment data and equipment operation data into the environment-operation relationship equation and the operation-operation relationship equation, and then generates global operation control decisions by performing equipment operation simulation on each local operation control decision, thereby achieving the generation of optimized production scheduling plans and fault prevention measures based on comprehensive environmental monitoring reports and historical data analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0018] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation mode, structure, characteristics and effects of the present invention are described in detail below in combination with the accompanying drawings and preferred embodiments.

[0019] like Figure 1 As shown, a multi-source environment data fusion and decision support system based on industrial Internet identity resolution includes a cloud control terminal, wherein the cloud control terminal is provided with a data management module, a decision deployment module and several local management terminals, wherein the local management terminal is provided with a local data acquisition module, an operation data resolution module and an operation decision analysis module; The data management module is used to receive the operating environment data and equipment operation data of each industrial device uploaded by each local management terminal, and store each data by establishing a data storage network, and at the same time share and store data for each local management terminal through the data storage network; The decision-making and deployment module is used to input the local operation control decisions uploaded by each local management terminal into the data storage network to perform equipment operation simulation, and generate a global operation control decision according to the equipment operation simulation results; The local data collection module is used to collect the operating environment data and equipment operation data of the industrial equipment associated with the local management terminal; The operation data analysis module is used to obtain various standard equipment operation data intervals and standard operation environment data intervals of various industrial equipment through the Internet, and then record various operation environment data and equipment operation data as abnormal operation environment data and abnormal equipment operation data according to the standard equipment operation data intervals and the standard operation environment data intervals, and then establish the environment-operation relationship equation and the operation-operation relationship equation; The operation decision analysis module is used to determine whether there are abnormalities in the latest generated operating environment data and equipment operation data, and input the abnormal operating environment data and equipment operation data into the environment-operation relationship equation and the operation-operation relationship equation, thereby generating a local operation control decision.

[0020] Further, the working principle of the present invention is described below by way of examples: The cloud control terminal is connected to n local management terminals, and each local management terminal is numbered a1, a2, a3, ..., a n , where n is a natural number greater than 0; The local management terminal is associated with multiple industrial devices, and each industrial device is associated with at least two or more local management association terminals. The cloud control terminal sets a number b1, b2, b3, ..., b m , where m is a natural number greater than 0; The local data acquisition modules in each local management terminal are provided with the same data acquisition upload cycle, and the industrial equipment is provided with several environmental sensors and operation sensors, wherein the environmental sensors include humidity sensors, ambient temperature sensors, light sensors, etc., and the operation sensors include operation temperature sensors, voltage sensors, etc.; The local data acquisition module is provided with an environment data acquisition unit and an operation data acquisition unit, and the environment data acquisition unit and the operation data acquisition unit are respectively connected to the sensors on the industrial equipment associated with the corresponding local management end for communication, and then each sensor uploads the data collected by it to its communication connection data acquisition unit; The environment data collection unit and the operation data collection unit record the data they receive as operation environment data and equipment operation data respectively, and at the end of each data upload cycle, the local data collection module converts all the data collected during the data upload cycle into a single Internet identification code, and uploads the single Internet identification code to the data management module of the cloud control terminal; It should be noted that the operating environment data includes the ambient temperature change curve, the humidity change curve, etc., and the equipment operation data includes the operating temperature change curve, the operating voltage change curve, etc., and all data are collected when there is no hardware damage to the industrial equipment.

[0021] Furthermore, the process of the data management module establishing a data storage network and storing and sharing the data uploaded by each local management terminal includes: The data management module sets n master data storage nodes, and marks the numbers of the local management terminals on each master data storage node in turn; According to the number of industrial devices associated with each local management terminal, a corresponding number of slave data nodes are set for each master data storage node, and the same number is set for each slave data node according to the industrial device number corresponding to each slave data node; According to the numbering sequence, each master data storage node is connected in sequence, and then the slave data nodes with the same number in each master data storage node are overlapped, and the spatial position of each slave data node is adjusted according to the distribution of each industrial equipment in the application scenario, thereby obtaining a data storage network; Whenever the data management module receives a single Internet identification code, it converts the single Internet identification code into corresponding data, and sets a time data node for each slave data node, and then stores each data converted from the single Internet identification code in the corresponding time data node; When the data management module completes the storage of the data corresponding to the single Internet identification code, for any master data storage node, it extracts the latest stored data of all the master data storage nodes that are associated with it as slave data nodes, and converts the extracted data into a shared Internet identification code, and then sends the shared Internet identification code to the corresponding local management terminal according to the local management terminal number corresponding to the master data storage node.

[0022] Furthermore, when each data upload cycle of the local data acquisition module ends, the data collected in the data upload cycle is integrated into a device operation data set and an environment operation data set and sent to the operation parsing module and the operation decision analysis module; The operation data analysis module obtains various standard equipment operation data intervals and standard operation environment data intervals of various industrial equipment through the Internet, and compares various standard equipment operation data intervals with corresponding equipment operation data generated in each data upload cycle. If it is determined that the equipment operation data is not within the standard equipment operation data interval, the corresponding equipment operation data is recorded as abnormal equipment operation data. Otherwise, no operation is performed, and the same operation is adopted to record various operation environment data as abnormal operation environment data according to the standard operation environment data interval. According to the number of types of operating environment data and device operating data, i environment nodes and j operating nodes are set respectively, wherein i and j are integers greater than 0, and i and j represent the number of types of operating environment data and device operating data; Selecting several sets of environment operation data that only contain one type of abnormal operation environment data, inputting each device operation data and the only abnormal operation environment data in the environment operation data set and its associated device operation data set into each operation node and environment node, and retaining the operation node with the abnormal device operation data; Establish a multi-dimensional coordinate system, map different environment operation data sets and their corresponding equipment operation data sets, corresponding to the abnormal equipment operation data and abnormal operation environment data in the reserved operation nodes into the same multi-dimensional coordinate system; According to each change curve in the multidimensional coordinate system, a multi-segment linear regression equation is established with the environmental operation data as the independent variable and the equipment operation data as the dependent variable. It should be noted that for environmental operation data in different numerical ranges, the types of dependent variables in the corresponding linear regression equation are different; According to the above process of establishing a multi-segment linear regression equation, several sets of environmental operation data in which only two, three, ..., i kinds of abnormal operating environmental data exist and related equipment operation data sets are selected in turn to generate the corresponding multi-segment linear regression equation and record it as the environment-operation relationship equation.

[0023] Furthermore, under the premise that there is no hardware problem with the industrial equipment, when abnormal equipment data appears in the absence of abnormal operation data of the industrial equipment, it is normally caused by the abnormal operation of the industrial equipment connected to the industrial equipment; When the domain management terminal receives the shared Internet identification code, it converts the shared Internet identification code into corresponding operating environment data and device operating data, and then integrates all the operating environment data and device operating data into an environment operating data set and a device operating data set, and sends them to the operating data analysis module; Select the equipment operation data set that has abnormal equipment operation data, but its associated operation environment data set does not have any abnormal operation environment data, and call the corresponding equipment operation data set according to the connection status between the industrial equipment, adopt the process of establishing a multi-segment linear regression equation between the environment operation data and the equipment operation data, and then establish a multi-segment linear regression equation between each abnormal equipment operation data between different industrial equipment, record it as the operation-operation relationship equation, and mark the number of the corresponding industrial equipment; The operation data analysis module sends all environment-operation relationship equations and operation-operation relationship equations to the operation decision analysis module and the decision deployment module in the cloud control terminal.

[0024] Further, when the operation decision analysis module receives the device operation data set and the environment operation data set collected in the latest data upload cycle from the local data collection module, multiple device nodes are set according to the number of industrial devices associated with the local management terminal, and the positions of the device nodes are sorted according to the location distribution of the industrial devices, and each data is input into the corresponding device node; Set the operation detection cycle, the length of which is generally between 50ms and 100ms; Whenever an operation detection cycle begins, based on the standard data intervals of each device operation data and environmental operation data, determine whether the data in the device operation data set and the environmental operation data set are abnormal, and record them as abnormal device operation data and abnormal operation environment data. If there is no abnormality, no operation is performed; For device nodes with abnormal operating environment data, the corresponding environment-operation relationship equation is retrieved according to the type of abnormal operating environment data and the industrial equipment number, and then the type of equipment operating data that is expected to be abnormal for the corresponding industrial equipment in the next operation detection cycle is obtained. Then, according to the industrial equipment number connected to the device node and the type of equipment operating data that is expected to be abnormal, the corresponding operation-operation relationship equation is retrieved, and then the type of equipment operating data that is expected to be abnormal for the connected industrial equipment is obtained; Then, local operation control decisions are generated for the corresponding industrial equipment according to the changing trends of the corresponding equipment operation data. For example, if the abnormal operating environment data shows a downward trend relative to the corresponding standard equipment operation data, the operating power of the corresponding industrial equipment is increased, otherwise the operating power is reduced.

[0025] Furthermore, whenever the operation decision analysis module generates a local operation control decision, the local management terminal automatically uploads the local operation control decision to the cloud control terminal; The decision-making and deployment module inputs each local operation control decision into the corresponding slave data node in the data storage network, and uses the equipment operation data of each industrial equipment at the end of the previous operation detection cycle as the initial operation data, and then performs equipment operation simulation on each slave data node according to the local operation control decision; Modify the initial operation data in the corresponding slave data node according to the local operation control decision, and record the modified initial operation data as adjusted operation data; Then, according to the type of the modified initial operation data and the number of the slave data node to which the corresponding slave data node is connected, the corresponding operation-operation relationship equation is retrieved, and the modified initial operation data is input into the operation-operation relationship equation; Set the operation difference threshold, obtain the output result of the operation-operation relationship equation, the difference between the initial operation data or the adjusted operation data of the corresponding type in the slave data node connected to the slave data node corresponding to the local operation control decision, and the size relationship between the operation difference threshold. If the difference is less than or equal to the operation difference threshold, no operation is performed. If the difference is greater than the operation difference threshold, the output result of the operation-operation relationship equation is used to overwrite the initial operation data or the adjusted operation data of the corresponding type in the corresponding slave data node, and is synchronously recorded as the adjusted operation data; When all slave data nodes have completed the equipment operation simulation, it is determined whether the adjusted operation data in each slave data node is within the corresponding standard equipment operation data range. If so, a global operation control decision is generated based on the number of each slave data node and the difference between the adjusted operation data and the initial operation data. If there is any adjusted operation data in the slave data node that is not within the corresponding standard equipment operation data interval, the above process of generating the local operation control decision and setting the adjusted operation data is repeated according to the slave data node number with the abnormality; The decision-making and deployment module sends the global operation control decision to each local management terminal, and then each local management terminal executes the global operation control decision and proceeds to the next operation monitoring cycle.

[0026] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A multi-source environmental data fusion and decision support system based on industrial Internet identity resolution, including a cloud control terminal, characterized in that: The cloud control terminal is provided with a data management module, a decision-making and deployment module and a plurality of local management terminals, and the local management terminal is provided with a local data acquisition module, an operation data analysis module and an operation decision analysis module; The data management module is used to receive the operating environment data and equipment operation data of each industrial device uploaded by each local management terminal, and store each data by establishing a data storage network; The decision-making and deployment module is used to input the local operation control decisions uploaded by each local management terminal into the data storage network to perform equipment operation simulation, and generate a global operation control decision according to the equipment operation simulation results; The local data collection module is used to collect the operating environment data and equipment operation data of the industrial equipment associated with the local management terminal; The operation data analysis module is used to obtain various standard equipment operation data intervals and standard operation environment data intervals of various industrial equipment through the Internet, and then record various operation environment data and equipment operation data as abnormal operation environment data and abnormal equipment operation data according to the standard equipment operation data interval and the standard operation environment data interval, and then establish the environment-operation relationship equation and the operation-operation relationship equation; The operation decision analysis module is used to determine whether the latest generated operating environment data and equipment operation data have abnormalities, and input the abnormal operating environment data and equipment operation data into the environment-operation relationship equation and the operation-operation relationship equation, thereby generating a local operation control decision.

2. The multi-source environmental data fusion and decision support system based on industrial Internet identity resolution according to claim 1 is characterized in that: The cloud control terminal sets a number a1, a2, a3, ..., a for each local management terminal. n , where n is a natural number greater than 0; The local management terminal is associated with multiple industrial devices, and each industrial device is associated with at least two or more local management association terminals. The cloud control terminal sets a number b1, b2, b3, ..., b m , where m is a natural number greater than 0, and the local data acquisition modules in each local management terminal are set with the same data acquisition upload cycle.

3. The multi-source environmental data fusion and decision support system based on industrial Internet identity resolution according to claim 2 is characterized in that: The collection process of the operating environment data and the equipment operating data includes: The industrial equipment is provided with several environmental sensors and operation sensors, and each sensor uploads the data collected by it to the local data acquisition module; The local data acquisition module records the data it receives as operating environment data and equipment operation data, and whenever a data upload cycle ends, the local data acquisition module converts all the data collected during the data upload cycle into a single Internet identification code, and uploads the single Internet identification code to the data management module of the cloud control terminal.

4. The multi-source environmental data fusion and decision support system based on industrial Internet identity resolution according to claim 3 is characterized in that: The marking process of the abnormal operating environment data and the abnormal equipment operating data includes: Obtain various standard equipment operation data intervals and standard operating environment data intervals for various industrial equipment through the Internet, compare the various standard equipment operation data intervals and standard operating environment data intervals with the corresponding data generated in each data upload cycle, and mark abnormal equipment operation data and abnormal operating environment data according to the comparison results.

5. The multi-source environmental data fusion and decision support system based on industrial Internet identity resolution according to claim 4 is characterized in that: The process of establishing the environment-operation relationship equation includes: Whenever a data upload cycle ends, the data collected during the data upload cycle is integrated into a device operation data set and an environment operation data set; According to the number of types of operating environment data and device operating data, i environment nodes and j operating nodes are set respectively, where i and j are integers greater than 0; Selecting several sets of environment operation data that only contain one type of abnormal operation environment data, inputting each device operation data and the only abnormal operation environment data in the environment operation data set and its associated device operation data set into each operation node and environment node, and retaining the operation node with the abnormal device operation data; Establish a multidimensional coordinate system, map different environmental operation data sets and their corresponding equipment operation data sets, corresponding to the abnormal equipment operation data and abnormal operation environment data in the retained operation nodes into the same multidimensional coordinate system, and establish a multi-segment linear regression equation with the environmental operation data as the independent variable and the equipment operation data as the dependent variable according to each change curve in the multidimensional coordinate system; According to the above process of establishing a multi-segment linear regression equation, several sets of environmental operation data and related equipment operation data sets with only two, three, ..., i types of abnormal operating environmental data are selected in turn to generate the corresponding environment-operation relationship equation.

6. The multi-source environmental data fusion and decision support system based on industrial Internet identity resolution according to claim 4 is characterized in that: The process of establishing the data storage network includes: Set n master data storage nodes, and mark each master data storage node with the number of each local management terminal in turn, and set a corresponding number of slave data nodes for each master data storage node according to the number of industrial devices associated with each local management terminal; According to the numbering order, each master data storage node is connected in sequence, and then the slave data nodes with the same number in each master data storage node are overlapped, and the spatial position of each slave data node is adjusted according to the distribution of each industrial equipment in the application scenario, thereby obtaining a data storage network.

7. The multi-source environmental data fusion and decision support system based on industrial Internet identity resolution according to claim 6 is characterized in that: The process of establishing the operation-operation relationship equation includes: Select the equipment operation data set that has abnormal equipment operation data but whose associated operation environment data set does not have any abnormal operation environment data, and call the corresponding equipment operation data set according to the connection status between industrial equipment. Use the process of establishing a multi-segment linear regression equation between the environment operation data and the equipment operation data to further establish the operation-operation relationship equation between each abnormal equipment operation data between different industrial equipment.

8. The multi-source environmental data fusion and decision support system based on industrial Internet identity resolution according to claim 7 is characterized in that: The process of establishing the local operation control decision includes: According to the number of industrial equipment associated with the local management end, multiple equipment nodes are set, and an operation detection cycle is set. When an operation detection cycle starts, according to the standard data interval of each equipment operation data and environmental operation data, it is judged whether there are any abnormalities in the equipment operation data set and the environmental operation data set, and they are recorded as abnormal equipment operation data and abnormal operation environment data. If there is no abnormality, no operation is performed; For device nodes with abnormal operating environment data, the corresponding environment-operation relationship equation is retrieved according to the type of abnormal operating environment data and the industrial equipment number, and then the type of equipment operating data that is expected to be abnormal for the corresponding industrial equipment in the next operation detection cycle is obtained. Then, according to the industrial equipment number connected to the device node and the type of equipment operating data that is expected to be abnormal, the corresponding operation-operation relationship equation is retrieved, and then the type of equipment operating data that is expected to be abnormal for the connected industrial equipment is obtained. Then, local operation control decisions are generated for the corresponding industrial equipment according to the change trend of the corresponding equipment operating data.

9. The multi-source environmental data fusion and decision support system based on industrial Internet identity resolution according to claim 8 is characterized in that: The process of simulating equipment operation for local operation and control decisions includes: Input each local operation control decision into the corresponding slave data node in the data storage network, and use the equipment operation data of each industrial equipment at the end of the previous operation detection cycle as the initial operation data, and perform equipment operation simulation on each slave data node according to the local operation control decision; Modify the initial operation data in the corresponding slave data node according to the local operation control decision, and record the modified initial operation data as adjusted operation data; Then, according to the type of the modified initial operation data and the number of the slave data node to which the corresponding slave data node is connected, the corresponding operation-operation relationship equation is retrieved, and the modified initial operation data is input into the operation-operation relationship equation; Set the operation difference threshold, obtain the output result of the operation-operation relationship equation, and the difference between the initial operation data or adjusted operation data of the corresponding type in the slave data nodes connected to the slave data node corresponding to the local operation control decision, and the size relationship between the operation difference threshold, and then set the adjusted operation data, judge whether the adjusted operation data in each slave data node is within the corresponding standard equipment operation data range, and generate a global operation control decision based on the judgment result.

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