Multi-source environmental data fusion and decision support system based on industrial internet identification resolution

Abstract

The application discloses a multi-source environment data fusion and decision support system based on industrial internet identification analysis, relates to the technical field of operation supervision, and improves the stability of equipment operation.According to the standard equipment operation data interval and the standard operation environment data interval, each operation environment data and equipment operation data are recorded as abnormal operation environment data and abnormal equipment operation data, and then an environment-operation relationship equation and an operation-operation relationship equation are established, whether the newly generated operation environment data and equipment operation data are abnormal is judged, the operation environment data and equipment operation data which are abnormal are input into the environment-operation relationship equation and the operation-operation relationship equation, and then local operation control decisions are generated, equipment operation simulation is carried out on each local operation control decision, and global operation control decisions are generated according to the equipment operation simulation results.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of operation supervision, in particular to a multi-source environment data fusion and decision support system based on industrial internet identifier resolution. BACKGROUND

[0002] In modern industrial production processes, a large number of sensors are usually deployed in the factory environment to monitor various environmental parameters such as temperature, humidity, pressure, vibration, etc. In addition, these environmental data also come from different data sources, including device sensors, external environment monitoring stations and historical databases, etc. The collection, fusion and analysis of multi-source environment 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 the variety of data formats, traditional data processing methods are difficult to achieve efficient data fusion and analysis, resulting in insufficient decision support capability.

[0003] The prior art has the following defects:

[0004] Data collection and fusion difficulties: the collection and fusion of multi-source environment data need to solve the problems of non-uniform data format and inconsistent data quality, and the existing data collection and fusion technology cannot meet the requirements of real-time and accuracy in industrial production.

[0005] Insufficient decision support capability: the existing industrial internet identifier resolution system mainly focuses on device management and data tracking, and lacks comprehensive analysis and decision support capability for multi-source environment data, resulting in insufficient production optimization and fault prediction capability.

[0006] Therefore, how to realize the generation of optimized production scheduling scheme and fault prevention measures based on comprehensive environment monitoring report and historical data analysis result under the premise of deep mining and extracting key features of the fused data is a difficulty in the prior art, and a multi-source environment data fusion and decision support system based on industrial internet identifier resolution is provided. SUMMARY

[0007] In order to solve the above technical problems, the purpose of the present application is to provide a multi-source environment data fusion and decision support system based on industrial internet identifier resolution.

[0008] In order to achieve the above purpose, the present application provides the following technical scheme:

[0009] The multi-source environment data fusion and decision support system based on industrial internet identifier resolution comprises 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, and the local management terminal is provided with a local data acquisition module, an operation data analysis module and an operation decision analysis module.

[0010] The data management module is configured to receive operation environment data and equipment operation data of each industrial equipment uploaded by each local management terminal and store each data by establishing a data storage network;

[0011] The decision deployment module is configured to input local operation control decision uploaded by each local management terminal to the data storage network for equipment operation simulation and generate global operation control decision according to the equipment operation simulation result;

[0012] The local data acquisition module is configured to acquire operation environment data and equipment operation data of industrial equipment associated with the local management terminal;

[0013] The operation data analysis module is configured to acquire each standard equipment operation data interval and standard operation environment data interval of each industrial equipment through the Internet, and then acquire each 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 further establish an environment-operation relationship equation and an operation-operation relationship equation;

[0014] The operation decision analysis module is configured to determine whether the newly generated operation environment data and equipment operation data are abnormal, and input the operation environment data and equipment operation data with abnormality to the environment-operation relationship equation and the operation-operation relationship equation, and further generate local operation control decision.

[0015] Further, the cloud control terminal is in communication connection with n local management terminals, and each local management terminal is set with a number a1, a2, a3, …, a n wherein n is a natural number greater than 0;

[0016] The local management terminal is associated with a plurality of industrial equipment, and each industrial equipment is associated with two or more local management terminals, and the cloud control terminal is set with a number b1, b2, b3, …, b m wherein m is a natural number greater than 0, and the local data acquisition module in each local management terminal is set with the same data acquisition and uploading period.

[0017] Further, the operation environment data and equipment operation data acquisition process comprises:

[0018] The industrial equipment is provided with a plurality of environment sensors and operation sensors, and each sensor uploads the data collected thereby to the local data acquisition module;

[0019] The local data collection module records the received data as operation environment data and equipment operation data, and converts all the data collected in a data upload period into a single internet identification code and uploads the single internet identification code to the data management module of the cloud control terminal when each data upload period ends.

[0020] Further, the marking process of the abnormal operation environment data and the abnormal equipment operation data includes:

[0021] The standard equipment operation data intervals and the standard operation environment data intervals of each industrial equipment are obtained through the Internet, the standard equipment operation data intervals are compared with the corresponding equipment operation data generated in each data upload period, if it is judged that the equipment operation data is not in the standard equipment operation data interval, the corresponding equipment operation data is marked as abnormal equipment operation data, otherwise no operation is performed, and the same operation is used to mark each operation environment data as abnormal operation environment data according to the standard operation environment data interval.

[0022] Further, the establishment process of the environment-operation relationship equation includes:

[0023] When each data upload period of the local data collection module ends, the data collected in the data upload period is integrated as equipment operation data set and environment operation data set and sent to the operation analysis module and the operation decision analysis module;

[0024] According to the number of types of operation environment data and equipment operation data, i environment nodes and j operation nodes are set, wherein i and j are integers greater than 0;

[0025] Select several environment operation data sets with only one kind of abnormal operation environment data, input each equipment operation data and the only abnormal operation environment data in the environment operation data set and its associated equipment operation data set into each operation node and environment node, and retain the operation node with abnormal equipment operation data;

[0026] A multi-dimensional coordinate system is established, and different environment operation data sets and their corresponding equipment operation data sets are mapped in the same multi-dimensional coordinate system corresponding to the retained abnormal equipment operation data and abnormal operation environment data in the operation node;

[0027] According to the change curves in the multi-dimensional coordinate system, a multi-segment linear regression equation is established with environment operation data as the independent variable and equipment operation data as the dependent variable, and it should be noted that the dependent variable in the linear regression equation is different for different numerical intervals of environment operation data;

[0028] According to the above process of establishing the multi-segment linear regression equation, a plurality of environment operation data sets and associated device operation data sets each having only two, three, i, or the like types of abnormal operation environment data are sequentially selected to generate corresponding multi-segment linear regression equations, which are denoted as environment-operation relationship equations.

[0029] Further, the data storage network establishment process includes:

[0030] The data management module sets n master data storage nodes, and sequentially labels each local management terminal with a number.

[0031] 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 number of industrial devices corresponding to each slave data node.

[0032] According to the numbering order, the master data storage nodes are sequentially connected, the slave data nodes with the same number in each master data storage node are overlapped, and the spatial positions of the slave data nodes are adjusted according to the distribution of each industrial device in the application scenario, thereby obtaining the data storage network.

[0033] Further, the operation-operation relationship equation establishment process includes:

[0034] The device operation data set having abnormal device operation data but no associated operation environment data set having any abnormal operation environment data is selected, and the corresponding device operation data set is retrieved according to the connection status between industrial devices, the process of establishing the multi-segment linear regression equation between the environment operation data and the device operation data is adopted, and the multi-segment linear regression equation between each abnormal device operation data of different industrial devices is established, denoted as the operation-operation relationship equation, and labeled with the number of the corresponding industrial device.

[0035] Further, the local operation control decision establishment process includes:

[0036] When the operation decision analysis module receives the device operation data set and the environment operation data set collected by the local data acquisition module in the latest data upload period, a plurality of device nodes are set according to the number of industrial devices associated with the local management terminal, the position of each device node is sorted according to the position distribution of the industrial devices, and each data is input into the corresponding device node.

[0037] Set a running detection period, when a running detection period starts, according to the standard data interval of each device running data and environment running data, judge whether each data in the device running data set and the environment running data set is abnormal, and record it as abnormal device running data and abnormal running environment data, if there is no any abnormal, do not do anything;

[0038] For the device node with abnormal running environment data, according to the abnormal running environment data category and the industrial equipment number, the corresponding environment-running relationship equation is called, and then the device running data category expected to appear abnormal for the corresponding industrial equipment in the next running detection period is obtained, and then according to the industrial equipment number connected to the device node and the device running data category expected to appear abnormal, the corresponding running-running relationship equation is called, and then the device running data category expected to appear abnormal for the industrial equipment connected to the device node is obtained;

[0039] Further, according to the corresponding device running data change trend, the local running control decision for the corresponding industrial equipment is generated.

[0040] Further, the process of device running simulation for local running control decision includes:

[0041] Each local running control decision is input into the corresponding slave data node in the data storage network, and the device running simulation is performed on each slave data node according to the local running control decision, taking the device running data of each industrial equipment at the end of the last running detection period as the initial running data.

[0042] According to the local running control decision, the initial running data in the corresponding slave data node is modified, and the modified initial running data is recorded as the adjusted running data.

[0043] According to the modified initial running data category and the number carried by the corresponding slave data node connected to the corresponding slave data node, the corresponding running-running relationship equation is called, and the modified initial running data is input into the running-running relationship equation.

[0044] Set a running difference threshold, obtain the output result of the running-running relationship equation, and the size relationship between the difference between the initial running data or the adjusted running data of the corresponding slave data node connected to the local running control decision corresponding slave data node and the running difference threshold, and then set the adjusted running data.

[0045] When all the slave data nodes complete the device running simulation, it is judged whether the adjusted running data in each slave data node is within the corresponding standard device running data interval, and the global running control decision is generated according to the judgment result.

[0046] Compared with the prior art, the beneficial effects of the present application are:

[0047] 1. This invention records various operating environment data and equipment operating data as abnormal operating environment data and abnormal equipment operating data by using standard equipment operating data range and standard operating environment data range. Then, it establishes environment-operation relationship equation and operation-operation relationship equation, realizes in-depth mining of fused data and extraction of key features, and lays a data foundation for subsequent global operation control decision-making.

[0048] 2. This 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. Then, it generates global operation control decisions by simulating equipment operation for each local operation control decision. This enables the generation of optimized production scheduling schemes and fault prevention measures based on comprehensive environmental monitoring reports and historical data analysis results. Attached Figure Description

[0049] Figure 1 This is a schematic diagram of the present invention. Detailed Implementation

[0050] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0051] like Figure 1 As shown, the multi-source environmental data fusion and decision support system based on industrial internet identifier resolution includes a cloud control terminal. The cloud control terminal is equipped with a data management module, a decision allocation module, and several local management terminals. The local management terminals are equipped with a local data acquisition module, an operation data parsing module, and an operation decision analysis module.

[0052] The data management module is used to receive the operating environment data and equipment operation data of various industrial equipment uploaded by various local management terminals, and to store the data by establishing a data storage network. At the same time, the data storage network is used to share and store data among various local management terminals.

[0053] The decision-making and allocation module is used to input the local operation control decisions uploaded by each local management terminal into the data storage network for equipment operation simulation, and generate global operation control decisions based on the equipment operation simulation results;

[0054] The local data acquisition module is used to collect operating environment data and equipment operation data of industrial equipment associated with the local management terminal;

[0055] The operation data analysis module is configured to acquire standard equipment operation data intervals and standard operation environment data intervals of each industrial equipment through the Internet, and to establish environment-operation relationship equations and operation-operation relationship equations according to the standard equipment operation data intervals and the standard operation environment data intervals.

[0056] The operation decision analysis module is configured to determine whether the newly generated operation environment data and equipment operation data are abnormal, and to input the abnormal operation environment data and equipment operation data into the environment-operation relationship equations and the operation-operation relationship equations to generate local operation control decisions.

[0057] Further, the working principle of the present application is illustrated by the following embodiments:

[0058] The cloud control terminal is communicatively connected with n local management terminals, and each local management terminal is numbered as a1, a2, a3,..., a n wherein n is a natural number greater than 0;

[0059] The local management terminal is associated with a plurality of industrial equipment, and each industrial equipment is associated with at least two or more local management terminals. The cloud control terminal numbers each industrial equipment as b1, b2, b3,..., b m wherein m is a natural number greater than 0;

[0060] The local data acquisition module in each local management terminal has the same data acquisition upload period. The industrial equipment is provided with a plurality of environment sensors and operation sensors, wherein the environment sensors include humidity sensors, environment temperature sensors, light sensors, etc., and the operation sensors include operation temperature sensors, voltage sensors, etc.

[0061] The local data acquisition module is provided with an environment data acquisition unit and an operation data acquisition unit, which are communicatively connected with the sensors on the industrial equipment associated with the corresponding local management terminal, and then each sensor uploads the data collected by it to the communicatively connected data acquisition unit.

[0062] The environment data acquisition unit and the operation data acquisition unit respectively record the received data as operation environment data and equipment operation data. Whenever a data upload period ends, the local data acquisition module converts all the data collected in the data upload period into a single Internet identifier code, and uploads the single Internet identifier code to the data management module of the cloud control terminal.

[0063] It should be noted that the operating environment data includes environment temperature change curve, humidity change curve, etc., the equipment operating data includes operating temperature change curve, operating voltage change curve, etc., and each data is collected under the condition that the industrial equipment has no hardware damage.

[0064] Further, the data management module establishes a data storage network and stores and shares the data uploaded by each local management terminal, and the process includes:

[0065] The data management module sets n main data storage nodes, and sequentially labels each local management terminal number for each main data storage node;

[0066] According to the number of industrial equipment associated with each local management terminal, a corresponding number of slave data nodes are set for each main data storage node, and the same number is set according to the industrial equipment number corresponding to each slave data node;

[0067] According to the number sequence, each main data storage node is sequentially connected, and the slave data nodes with the same number in each main 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 scene, and then the data storage network is obtained;

[0068] Each time the data management module receives a single internet identification code, the single internet identification code is converted into corresponding data, and a time data node is set for each slave data node, and then the data converted from the single internet identification code is stored in the corresponding time data node;

[0069] When the data management module finishes storing the data corresponding to the single internet identification code, for any main data storage node, the latest stored data of the main data storage node associated with the slave data node is extracted, and the extracted data is converted into a shared internet identification code, and then the shared internet identification code is sent to the corresponding local management terminal according to the local management terminal number corresponding to the main data storage node.

[0070] Further, each time a data upload cycle of the local data collection module ends, the data collected in the data upload cycle is integrated into the equipment operating data set and the environment operating data set and sent to the operating analysis module and the operating decision analysis module;

[0071] The running data analysis module obtains the standard equipment running data interval and the standard running environment data interval of each industrial equipment through the Internet, compares the standard equipment running data interval with the corresponding equipment running data generated in each data uploading period, and if the equipment running data is not within the standard equipment running data interval, the corresponding equipment running data is recorded as abnormal equipment running data, otherwise, no operation is performed, and the same operation is used to record each running environment data as abnormal running environment data according to the standard running environment data interval;

[0072] According to the number of types of running environment data and equipment running data, i environment nodes and j running nodes are set, wherein i and j are integers greater than 0, and i and j represent the number of types of running environment data and equipment running data;

[0073] Select several environment running data sets with only one type of abnormal running environment data, input each item of equipment running data and the only item of abnormal running environment data in the environment running data set and its associated equipment running data set into each running node and environment node, and retain the running node with abnormal equipment running data;

[0074] A multi-dimensional coordinate system is established, and different environment running data sets and their corresponding equipment running data sets are mapped in the same multi-dimensional coordinate system corresponding to the abnormal equipment running data and abnormal running environment data in the retained running node;

[0075] According to the change curves in the multi-dimensional coordinate system, a multi-segment linear regression equation is established with the environment running data as the independent variable and the equipment running data as the dependent variable. It should be noted that for different numerical intervals of environment running data, the dependent variable in the corresponding linear regression equation is different;

[0076] According to the above process of establishing a multi-segment linear regression equation, in turn, select several environment running data sets and associated equipment running data sets with only two, three, …, i types of abnormal running environment data, and then generate the corresponding multi-segment linear regression equation, and record it as the environment-running relationship equation.

[0077] Further, under the premise that the industrial equipment has no hardware problem, when the industrial equipment has abnormal equipment data without abnormal running data, it is caused by the running abnormality of the industrial equipment connected to the industrial equipment under normal circumstances;

[0078] When the local management terminal receives the shared Internet identifier code, it converts the shared Internet identifier code into corresponding running environment data and equipment running data, and then integrates all the running environment data and equipment running data into an environment running data set and an equipment running data set, and sends them to the running data analysis module;

[0079] Select the device running data set that has abnormal device running data but its associated running environment data set does not have any abnormal running environment data, and according to the connection condition between industrial devices, call the corresponding device running data set, adopt the process of establishing the multi-segment linear regression equation between environment running data and device running data, and then establish the multi-segment linear regression equation between each item of abnormal device running data between different industrial devices, denoted as running-running relationship equation, and mark the corresponding industrial device number;

[0080] The running data analysis module sends all environment-running relationship equations and running-running relationship equations to the running decision analysis module and the decision deployment module in the cloud control terminal.

[0081] Further, when the running decision analysis module receives the device running data set and the environment running data set collected by the local data collection module in the latest data upload period, a plurality of device nodes are set according to the number of industrial devices associated with the local management terminal, and each device node is positionally sorted according to the position distribution of the industrial devices, and each item of data is input into the corresponding device node;

[0082] The running detection period is set, and the time length of the running detection period is generally between 50ms to 100ms;

[0083] When a running detection period starts, it is judged whether each item of data in the device running data set and the environment running data set is abnormal according to the standard data interval of each item of device running data and environment running data, and is recorded as abnormal device running data and abnormal running environment data. If there is no abnormality, no operation is performed;

[0084] For the device node with abnormal running environment data, the corresponding environment-running relationship equation is called according to the type of abnormal running environment data and the industrial device number, and then the type of device running data expected to be abnormal for the corresponding industrial device in the next running detection period is obtained, and then the corresponding running-running relationship equation is called according to the industrial device number connected to the device node and the type of device running data expected to be abnormal, and then the type of device running data expected to be abnormal for the industrial device connected thereto is obtained;

[0085] Further, according to the corresponding device running data change trend, local running control decisions are generated for the corresponding industrial devices, for example, the abnormal running environment data is downward trend change relative to the corresponding standard device running data, the running power of the corresponding industrial device is increased, and vice versa.

[0086] Further, whenever the local management terminal generates a local operation control decision, the local management terminal automatically uploads the local operation control decision to the cloud control terminal;

[0087] The decision deployment module inputs each local operation control decision into the corresponding slave data node in the data storage network, and takes each item of equipment operation data of each industrial equipment at the end of the previous operation detection period as initial operation data, and then simulates equipment operation of each slave data node according to the local operation control decision;

[0088] According to the local operation control decision, the initial operation data in the corresponding slave data node is modified, and the modified initial operation data is recorded as adjusted operation data;

[0089] According to the modified initial operation data and the number carried by the slave data node connected to the corresponding slave data node, the corresponding operation-operation relationship equation is called, and the modified initial operation data is input into the operation-operation relationship equation;

[0090] The operation difference threshold is set, the output result of the operation-operation relationship equation is obtained, and the size relationship between the difference between the initial operation data or the adjusted operation data of the corresponding type in the slave data node connected to the local operation control decision corresponding slave data node and the operation difference threshold is obtained, 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 overwritten on the initial operation data or the adjusted operation data of the corresponding type in the corresponding slave data node, and is recorded as the adjusted operation data at the same time;

[0091] When all the slave data nodes complete the equipment operation simulation, it is judged whether the adjusted operation data in each slave data node is within the corresponding standard equipment operation data interval, if all are within, a global operation control decision is generated according to the number of each slave data node and the difference between the adjusted operation data and the initial operation data;

[0092] If there is adjusted operation data in the slave data node that is not within the corresponding standard equipment operation data interval, the process of generating a local operation control decision and setting adjusted operation data is repeated according to the number of the slave data node with abnormality;

[0093] The decision 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 performs the next operation detection period.

[0094] The above merely describes the preferred embodiments of the present application, and is not intended to limit the present application in any form. Although the present application has been disclosed with the preferred embodiments as above, it is not intended to limit the present application. Any person skilled in the art can make some changes or modifications to the above disclosed technical content to obtain equivalent embodiments with equivalent changes, as long as the changes or modifications do not deviate from the technical solution of the present application. Any modification, change, equivalent change and modification of the above embodiments made according to the technical essence of the present application still belong to the scope of the technical solution of the present application.

Claims

1. A multi-source environmental data fusion and decision support system based on industrial internet identifier resolution, including a cloud control terminal, characterized in that: The cloud control terminal is equipped with a data management module, a decision-making and allocation module, and several local management terminals. The local management terminals are equipped with a local data acquisition module, an operation data parsing module, and an operation decision analysis module. The data management module is used to receive the operating environment data and equipment operation data of various industrial equipment uploaded by various local management terminals, and to store the data by establishing a data storage network. The decision-making and allocation module is used to input the local operation control decisions uploaded by each local management terminal into the data storage network for equipment operation simulation, and generate global operation control decisions based on the equipment operation simulation results; The local data acquisition module is used to collect operating environment data and equipment operation data of industrial equipment associated with the local management terminal; The operation data parsing module is used to obtain the standard equipment operation data range and standard operating environment data range of each industrial equipment through the Internet, and then record each operating environment data and equipment operation data as abnormal operating environment data and abnormal equipment operation data according to the standard equipment operation data range and standard operating environment data range, thereby establishing environment-operation relationship equation and operation-operation relationship equation; The operation decision analysis module is used to determine whether there are any anomalies in the latest generated operation environment data and equipment operation data. The operation environment data and equipment operation data with anomalies are input into the environment-operation relationship equation and the operation-operation relationship equation, thereby generating local operation control decisions. The process of establishing the environment-operation relationship equation includes: At the end of each data upload cycle, the data collected during the data upload cycle is integrated into a device operation data set and an environmental operation data set; Based on the types and quantities of operating environment data and device operating data, set up i environment nodes and j operating nodes respectively, where i and j are integers greater than 0; Select several sets of environmental operation data that contain only one type of abnormal operating environment data. Input each piece of equipment operation data and the unique abnormal operating environment data from the environmental operation data set and its associated equipment operation data set into each operation node and environment node, and retain the operation node with abnormal equipment operation data. Establish a multidimensional coordinate system to map different environmental operation data sets and their corresponding equipment operation data sets, as well as abnormal equipment operation data and abnormal operation environment data in the corresponding operation nodes, onto the same multidimensional coordinate system. Based on the change curves in the multidimensional coordinate system, establish a multi-segment linear regression equation with environmental operation data as the independent variable and equipment operation data as the dependent variable. Based on the above process of establishing multi-segment linear regression equations, several sets of environmental operation data and related equipment operation data sets with only two, three, ..., i types of abnormal operating environment data are selected in sequence to generate the corresponding environment-operation relationship equations.

2. The multi-source environmental data fusion and decision support system based on industrial internet identifier resolution according to claim 1, characterized in that, The cloud control terminal assigns numbers a1, a2, a3, ..., a to each local area 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 local management terminals. The cloud control terminal assigns numbers b1, b2, b3, ..., b to each industrial device. 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 and upload cycle.

3. The multi-source environmental data fusion and decision support system based on industrial internet identifier resolution according to claim 2, characterized in that, The process of collecting the operating environment data and equipment operating data includes: The industrial equipment is equipped with several environmental sensors and operation sensors, and each sensor uploads the data it collects to the local data acquisition module. The local data acquisition module records the received data as operating environment data and device operating data. At the end of each data upload cycle, the local data acquisition module converts all the data collected during the data upload cycle into a single Internet identifier code and uploads the single Internet identifier 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 identifier resolution according to claim 3, characterized in that, The process of marking abnormal operating environment data and abnormal equipment operating data includes: The system obtains standard equipment operation data ranges and standard operating environment data ranges for various industrial equipment via the Internet, compares these ranges with the corresponding data generated in each data upload cycle, and marks abnormal equipment operation data and abnormal operating environment data based on the comparison results.

5. The multi-source environmental data fusion and decision support system based on industrial internet identifier resolution according to claim 4, characterized in that, The process of establishing the data storage network includes: Set up n master data storage nodes, and label each master data storage node with the number of each local management terminal in sequence. According to the number of industrial devices associated with each local management terminal, set up a corresponding number of slave data nodes for each master data storage node. According to the numbering order, the master data storage nodes are connected sequentially. Then, the slave data nodes with the same number in each master data storage node are overlapped. The spatial position of each slave data node is adjusted according to the distribution of each industrial device in the application scenario, thus obtaining the data storage network.

6. The multi-source environmental data fusion and decision support system based on industrial internet identifier resolution according to claim 5, characterized in that, The process of establishing the operation-operation relationship equation includes: The system selects equipment operation data sets that contain abnormal equipment operation data, but whose associated operating environment data sets do not contain any abnormal operating environment data. Based on the connection status between industrial equipment, the system retrieves the corresponding equipment operation data sets and establishes a multi-segment linear regression equation between environmental operation data and equipment operation data. This process is then used to establish operation-operation relationship equations between various abnormal equipment operation data of different industrial equipment.

7. The multi-source environmental data fusion and decision support system based on industrial internet identifier resolution according to claim 6, characterized in that, The process of establishing the local operation control decision includes: Multiple device nodes are set according to the number of industrial devices associated with the local management terminal, and an operation detection cycle is set. At the beginning of each operation detection cycle, based on the standard data range of each device operation data and environmental operation data, it is determined whether there are any abnormalities in each data in the device operation data set and the environmental operation data set, and recorded as abnormal device operation data and abnormal operation environment data. If there are no abnormalities, no operation is performed. For device nodes with abnormal operating environment data, the corresponding environment-operation relationship equation is retrieved based on the type of abnormal operating environment data and the industrial equipment number. Then, the type of abnormal equipment operation data expected to occur in the next operation detection cycle is obtained. Based on the industrial equipment number connected to the device node and the type of abnormal equipment operation data expected to occur, the corresponding operation-operation relationship equation is retrieved to obtain the type of abnormal equipment operation data expected to occur in the connected industrial equipment. Finally, local operation control decisions are generated for the corresponding industrial equipment based on the changing trend of the corresponding equipment operation data.

8. The multi-source environmental data fusion and decision support system based on industrial internet identifier resolution according to claim 7, characterized in that, The process of simulating equipment operation for local operation control decisions includes: Each local operation control decision is input into the corresponding slave data node in the data storage network, and the equipment operation data of each industrial equipment at the end of the previous operation detection cycle is used as the initial operation data. Based on the local operation control decision, the equipment operation simulation is performed on each slave data node. Based on the local operation control decision, the initial operation data in the corresponding data nodes is modified, and the modified initial operation data is recorded as the adjusted operation data; Then, based on the type of the modified initial running data and the corresponding number of the slave data node connected to the slave data node, retrieve the corresponding running-running relationship equation and input the modified initial running data into the running-running relationship equation; Set the operating difference threshold, obtain the output result of the operating-operating relationship equation, and compare the difference between the initial operating data or adjusted operating data of the corresponding type in the slave data nodes connected to the local operating control decision with the operating difference threshold. Then, set the adjusted operating data, determine whether the adjusted operating data in each slave data node is within the corresponding standard equipment operating data range, and generate a global operating control decision based on the judgment result.

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