CN-121979085-A - Equipment control method, system, terminal and storage medium for industrial Internet of things

Abstract

The invention discloses an equipment control method, a system, a terminal and a storage medium for an industrial Internet of things, wherein the method comprises the steps of obtaining industrial equipment information of an industrial equipment layer, obtaining an original equipment operation instruction according to the industrial equipment information, performing preliminary analysis to obtain a preliminary analysis result, performing structural analysis on the original equipment operation instruction to obtain a structural analysis result, performing semantic analysis to obtain a semantic analysis result, performing cross-modal similarity calculation to obtain cross-modal similarity, and performing optimization processing on the original equipment operation instruction to obtain a target equipment operation instruction and performing equipment control according to the target equipment operation instruction if abnormal operation circulation does not exist. According to the invention, the operation frequency abnormality is captured in real time through the dual-mode cooperative detection framework, the mode deviation caused by equipment aging is solved through the dynamic optimization closed-loop system, the stable operation of a high-load scene is ensured by adopting a load feedback mechanism, and the control precision of industrial equipment is improved.

Inventors

• LU WEICHAO

Assignees

• 深圳开鸿数字产业发展有限公司

Dates

Publication Date

20260505

Application Date

20251226

Claims (20)

1. 1. The equipment control method for the industrial Internet of things is characterized by comprising the following steps of: Acquiring industrial equipment information of an industrial equipment layer, acquiring an original equipment operation instruction according to the industrial equipment information, and performing preliminary analysis on the original equipment operation instruction to acquire a preliminary analysis result; Performing structural analysis on the original equipment operation instruction according to the preliminary analysis result to obtain a structural analysis result, performing semantic analysis on the structural analysis result to obtain a semantic analysis result, and performing cross-modal similarity calculation according to the semantic analysis result to obtain cross-modal similarity; if the original equipment operation instruction is judged to have no abnormal operation cycle according to the cross-mode similarity, optimizing the original equipment operation instruction according to the cross-mode similarity to obtain a target equipment operation instruction, and controlling equipment according to the target equipment operation instruction.
2. 2. The method for controlling equipment facing to the industrial internet of things according to claim 1, wherein the step of obtaining industrial equipment information of an industrial equipment layer, obtaining an original equipment operation instruction according to the industrial equipment information, and performing preliminary analysis on the original equipment operation instruction to obtain a preliminary analysis result, comprises the following steps: Acquiring industrial equipment information and an industrial equipment operation time stamp of an industrial equipment layer, wherein the industrial equipment information comprises equipment types, equipment running states, sensor data, communication protocols and operation logs; and generating an operation instruction according to the industrial equipment operation time stamp and the industrial equipment information to obtain an original equipment operation instruction, and performing preliminary analysis on the original equipment operation instruction to obtain a preliminary analysis result, wherein the preliminary analysis result comprises instruction format verification, operation frequency statistics and time sequence continuity statistics.
3. 3. The method for controlling equipment oriented to the industrial internet of things according to claim 1, wherein the steps of obtaining industrial equipment information of an industrial equipment layer, obtaining an original equipment operation instruction according to the industrial equipment information, performing preliminary analysis on the original equipment operation instruction, and obtaining a preliminary analysis result, and then further comprise: Acquiring equipment operation data of the industrial equipment layer according to the preliminary analysis result, and updating the threshold value parameters of the equipment operation data to obtain threshold value optimization parameters; The updating processing of the threshold parameter of the equipment operation data comprises the following specific steps: ; Wherein, the The parameters are optimized for the threshold value, In order to minimize the parameter operator, As a parameter of the threshold value, As an index of the loss of the light, In order to regularize the weight parameters, For the amount of computation on the edge device, Is the computing capacity of the edge device.
4. 4. The device control method for the industrial internet of things according to claim 3, wherein the performing structural analysis on the original device operation instruction according to the preliminary analysis result to obtain a structural analysis result specifically includes: Extracting a corresponding operation subsequence according to the preliminary analysis result, carrying out operation frequency statistics according to the subsequence, carrying out operation frequency statistics, and comparing the operation frequency statistics with a preset dynamic threshold value to obtain a comparison result; if the comparison result is that the frequency value of the operation frequency statistical result is larger than or equal to the preset dynamic threshold value, carrying out cyclic bad marking on the original equipment operation instruction to obtain a marking result; If the comparison result is that the frequency value of the operation frequency statistical result is smaller than the preset dynamic threshold value, calling a stack time sequence, and carrying out lightweight preliminary screening on the original equipment operation instruction according to the stack time sequence to obtain a preliminary screening result; And obtaining a structure analysis result according to the threshold optimization parameter, the marking result and the preliminary screening result.
5. 5. The device control method for the industrial internet of things according to claim 1, wherein the semantic analysis is performed on the structure analysis result to obtain a semantic analysis result, specifically: carrying out data analysis on the structure analysis result to obtain structured data and unstructured data, wherein the structured data comprises vibration signal data and equipment time sequence data, and the unstructured data comprises log text data and control instruction data; and carrying out numerical time sequence analysis on the structured data to obtain a numerical analysis result, carrying out text content analysis on the unstructured data to obtain a text analysis result, and obtaining a semantic analysis result according to the numerical analysis result and the text analysis result.
6. 6. The method for controlling equipment facing the industrial internet of things according to claim 5, wherein the performing numerical time sequence analysis on the structured data to obtain a numerical analysis result specifically comprises: Performing waveform similarity calculation on the structured data to obtain a waveform similarity calculation result; obtaining a numerical analysis result according to the waveform similarity calculation result; the step of calculating the waveform similarity of the structured data is specifically as follows: ; Wherein, the Is a sequence Sum sequence The dynamic time warping distance between them, To align paths Is selected from the group consisting of a minimum distance, Is a sequence The first of (3) The number of elements to be added to the composition, Is a sequence The first of (3) The elements.
7. 7. The device control method for the industrial internet of things according to claim 5, wherein the text content analysis is performed on the unstructured data to obtain a text analysis result, specifically: Carrying out light weight processing on the unstructured data to obtain light weight data, and carrying out vector extraction on the light weight data to obtain text vectors; And carrying out cosine similarity calculation on the text vector to obtain a cosine similarity calculation result, and obtaining a text analysis result according to the cosine similarity calculation result.
8. 8. The device control method for the industrial internet of things according to claim 4, wherein the cross-modal similarity calculation is performed according to the semantic analysis result to obtain the cross-modal similarity, and the method specifically comprises: Performing similarity calculation on the semantic analysis result to obtain a similarity result, and configuring multi-mode data weight; and carrying out weighted fusion on the multi-modal data weight and the similarity result to obtain a data fusion result, and carrying out parameter constraint on the data fusion result to obtain the cross-modal similarity.
9. 9. The device control method for the industrial internet of things according to claim 1, wherein the performing structural analysis on the original device operation instruction according to the preliminary analysis result to obtain a structural analysis result, performing semantic analysis on the structural analysis result to obtain a semantic analysis result, performing cross-modal similarity calculation according to the semantic analysis result to obtain cross-modal similarity, and further comprising: setting a self-adaptive threshold for triggering circulation, carrying out circulation decision on the self-adaptive threshold and the cross-modal similarity according to a decision function to obtain a circulation decision result, and judging whether the original equipment operation instruction has abnormal operation circulation or not according to the circulation decision result; If the cycle decision result returns to the first numerical value, judging that the original equipment operation instruction has abnormal operation cycle; And if the cycle decision result returns to the second value, judging that the original equipment operation instruction does not have abnormal operation cycle.
10. 10. The device control method for the industrial internet of things according to claim 9, wherein the performing a cyclic decision on the adaptive threshold and the cross-modal similarity according to a decision function is specifically: ; Wherein, the As a function of the decision-making, In order to cross-modality similarity, Is an adaptive threshold.
11. 11. The device control method for the industrial internet of things according to claim 1, wherein the performing structural analysis on the original device operation instruction according to the preliminary analysis result to obtain a structural analysis result, performing semantic analysis on the structural analysis result to obtain a semantic analysis result, performing cross-modal similarity calculation according to the semantic analysis result to obtain cross-modal similarity, and further comprising: if the original equipment operation instruction is judged to have abnormal operation circulation according to the cross-mode similarity, instruction generation is carried out according to the cross-mode similarity, and a circulation termination instruction is obtained; and carrying out protocol encapsulation on the circulation termination instruction to obtain a target circulation termination instruction, and carrying out termination processing on the abnormal operation circulation according to the target circulation termination instruction to obtain a circulation termination result.
12. 12. The method for controlling equipment facing the industrial internet of things according to claim 11, wherein if it is determined that the original equipment operation instruction does not have an abnormal operation cycle according to the cross-modal similarity, performing optimization processing on the original equipment operation instruction according to the cross-modal similarity to obtain a target equipment operation instruction, and performing equipment control according to the target equipment operation instruction, specifically including: if the original equipment operation instruction is judged to have no abnormal operation cycle according to the cross-mode similarity, generating a dynamic scheduling strategy according to the cross-mode similarity; And carrying out resource reallocation processing according to the dynamic scheduling strategy to obtain a resource allocation result, carrying out optimization processing on the original equipment operation instruction according to the resource allocation result to obtain a target equipment operation instruction, and carrying out equipment control according to the target equipment operation instruction.
13. 13. The device control method for the industrial internet of things according to claim 12, wherein the resource reallocation processing is performed according to the dynamic scheduling policy, specifically: ; Wherein, the For the new allocation of the resources, In order to reclaim the free resources, In order to assign the scaling factor(s), Is a task priority gradient.
14. 14. An equipment control system facing industrial internet of things, which is characterized by comprising: The operation instruction generation module is used for acquiring the industrial equipment information of the industrial equipment layer, acquiring an original equipment operation instruction according to the industrial equipment information, and performing preliminary analysis on the original equipment operation instruction to acquire a preliminary analysis result; the operation instruction analysis module is used for carrying out structural analysis on the original equipment operation instruction according to the preliminary analysis result to obtain a structural analysis result, carrying out semantic analysis on the structural analysis result to obtain a semantic analysis result, and carrying out cross-modal similarity calculation according to the semantic analysis result to obtain cross-modal similarity; And the operation instruction optimization module is used for optimizing the original equipment operation instruction according to the cross-modal similarity to obtain a target equipment operation instruction if the original equipment operation instruction is judged to have no abnormal operation cycle according to the cross-modal similarity, and controlling equipment according to the target equipment operation instruction.
15. 15. The industrial internet of things-oriented device control system of claim 14, wherein the operational instruction generation module comprises: the system comprises a data acquisition unit, a data processing unit and a data processing unit, wherein the data acquisition unit is used for acquiring industrial equipment information and industrial equipment operation time stamps of an industrial equipment layer, and the industrial equipment information comprises equipment types, equipment running states, sensor data, communication protocols and operation logs; the data analysis unit is used for generating operation instructions according to the industrial equipment operation time stamp and the industrial equipment information to obtain original equipment operation instructions, and performing preliminary analysis on the original equipment operation instructions to obtain preliminary analysis results, wherein the preliminary analysis results comprise instruction format verification, operation frequency statistics and time sequence continuity statistics.
16. 16. The industrial internet of things-oriented device control system of claim 14, wherein the operational instruction analysis module comprises: The data statistics unit is used for extracting a corresponding operation subsequence according to the preliminary analysis result, carrying out operation frequency statistics according to the subsequence, carrying out operation frequency statistics, and comparing the operation frequency statistics with a preset dynamic threshold value to obtain a comparison result; The circulation marking unit is used for carrying out circulation marking on the original equipment operation instruction to obtain a marking result if the comparison result is that the frequency value of the operation frequency statistical result is larger than or equal to the preset dynamic threshold value; The data prescreening unit is used for calling a stack time sequence if the comparison result is that the frequency value of the operation frequency statistical result is smaller than the preset dynamic threshold value, and performing lightweight prescreening on the original equipment operation instruction according to the stack time sequence to obtain a prescreening result; the structure analysis unit is used for obtaining a structure analysis result according to the threshold optimization parameter, the marking result and the preliminary screening result; The data analysis unit is used for carrying out data analysis on the structure analysis result to obtain structured data and unstructured data, wherein the structured data comprises vibration signal data and equipment time sequence data, and the unstructured data comprises log text data and control instruction data; The text analysis unit is used for carrying out numerical time sequence analysis on the structured data to obtain a numerical analysis result, carrying out text content analysis on the unstructured data to obtain a text analysis result, and obtaining a semantic analysis result according to the numerical analysis result and the text analysis result; The similarity calculation unit is used for carrying out similarity calculation on the semantic analysis result to obtain a similarity result and configuring multi-mode data weights; and the data fusion unit is used for carrying out weighted fusion on the multi-modal data weight and the similarity result to obtain a data fusion result, and carrying out parameter constraint on the data fusion result to obtain the cross-modal similarity.
17. 17. The industrial internet of things-oriented device control system of claim 14, wherein the operational instruction optimization module comprises: the scheduling policy generation unit is used for generating a dynamic scheduling policy according to the cross-mode similarity if the original equipment operation instruction is judged to have no abnormal operation cycle according to the cross-mode similarity; and the resource reallocation unit is used for carrying out resource reallocation processing according to the dynamic scheduling strategy to obtain a resource allocation result, carrying out optimization processing on the original equipment operation instruction according to the resource allocation result to obtain a target equipment operation instruction, and carrying out equipment control according to the target equipment operation instruction.
18. 18. The industrial internet of things-oriented device control system of claim 14, further comprising a loop decision module comprising: The cycle judging unit is used for setting an adaptive threshold for triggering cycle, carrying out cycle decision on the adaptive threshold and the cross-modal similarity according to a decision function to obtain a cycle decision result, and judging whether the original equipment operation instruction has abnormal operation cycle or not according to the cycle decision result; the first cycle determining unit is used for determining that the original equipment operation instruction has abnormal operation cycle if the cycle decision result returns to the first numerical value; And the second loop determining unit is used for determining that the original equipment operation instruction does not have abnormal operation loops if the loop decision result returns to the second numerical value.
19. 19. The terminal is characterized by comprising a memory, a processor and an industrial Internet of things-oriented device control program which is stored in the memory and can run on the processor, wherein the industrial Internet of things-oriented device control program realizes the steps of the industrial Internet of things-oriented device control method according to any one of claims 1-13 when being executed by the processor.
20. 20. A computer-readable storage medium, wherein the computer-readable storage medium stores an industrial internet of things oriented device control program, which when executed by a processor, implements the steps of the industrial internet of things oriented device control method of any one of claims 1-13.

Description

Equipment control method, system, terminal and storage medium for industrial Internet of things Technical Field The invention relates to the technical field of equipment control, in particular to an equipment control method, a system, a terminal and a computer readable storage medium for industrial Internet of things. Background With the development of industry, intelligent factories and automated production lines are increasingly in need of real-time monitoring, fault prediction and autonomous decision making. Conventional industrial control systems rely primarily on programmable logic controllers to perform a fixed flow of operations and to detect anomalies through manually set thresholds. However, the prior art has the following disadvantages in facing complex and variable production environments and equipment states: (1) The hidden resource waste is difficult to detect, the structural analysis in the prior art depends on a fixed frequency threshold value, the false alarm rate is higher in a multi-mode operation chain of the equipment, for example, the normal inspection cycle is misjudged as redundancy, and the text semantic method cannot process the numerical time sequence data, so that the calculation of the vibration sensing similarity is invalid; (2) The edge calculation force contradicts the detection precision, namely, the full-scale semantic analysis needs higher calculation force, and higher delay exists in small memory equipment, for example, the delay exceeds 5 seconds, so that the real-time performance and the accuracy cannot be considered by a single method; (3) And separating control logic of a PLC (Programmable Logic Controller, a programmable logic controller) from decision making of an agent, wherein redundant operation blocking needs manual intervention. Accordingly, the prior art is still in need of improvement and development. Disclosure of Invention The invention mainly aims to provide an equipment control method, a system, a terminal and a computer readable storage medium for the industrial Internet of things, and aims to solve the problems of higher control delay and inaccurate control precision of the existing industrial equipment control method. In order to achieve the above object, the present invention provides an industrial internet of things oriented device control method, which includes the following steps: Acquiring industrial equipment information of an industrial equipment layer, acquiring an original equipment operation instruction according to the industrial equipment information, and performing preliminary analysis on the original equipment operation instruction to acquire a preliminary analysis result; Performing structural analysis on the original equipment operation instruction according to the preliminary analysis result to obtain a structural analysis result, performing semantic analysis on the structural analysis result to obtain a semantic analysis result, and performing cross-modal similarity calculation according to the semantic analysis result to obtain cross-modal similarity; if the original equipment operation instruction is judged to have no abnormal operation cycle according to the cross-mode similarity, optimizing the original equipment operation instruction according to the cross-mode similarity to obtain a target equipment operation instruction, and controlling equipment according to the target equipment operation instruction. Optionally, in the device control method for the industrial internet of things, the obtaining industrial device information of the industrial device layer, obtaining an original device operation instruction according to the industrial device information, and performing preliminary analysis on the original device operation instruction to obtain a preliminary analysis result, specifically includes: Acquiring industrial equipment information and an industrial equipment operation time stamp of an industrial equipment layer, wherein the industrial equipment information comprises equipment types, equipment running states, sensor data, communication protocols and operation logs; and generating an operation instruction according to the industrial equipment operation time stamp and the industrial equipment information to obtain an original equipment operation instruction, and performing preliminary analysis on the original equipment operation instruction to obtain a preliminary analysis result, wherein the preliminary analysis result comprises instruction format verification, operation frequency statistics and time sequence continuity statistics. Optionally, in the device control method for the industrial internet of things, the obtaining industrial device information of the industrial device layer, obtaining an original device operation instruction according to the industrial device information, and performing preliminary analysis on the original device operation instruction to obtain a preliminary analysis result, and then further includ