An intelligent optimization system for transformer production line based on artificial intelligence

Abstract

The present invention discloses an intelligent optimization system for transformer production lines based on artificial intelligence, which specifically relates to the field of transformer production line optimization, including a production area division module, a sub-production area transformer data acquisition module, a sub-production area transformer data analysis module, a comprehensive production area data evaluation module, a comprehensive optimization feedback module, and a real-time monitoring module. The detection area is reasonably divided by the area division module, which reduces the difficulty of transformer data acquisition and data analysis. Through data acquisition and analysis, strong data support is provided for the production optimization of transformers. Through the comprehensive evaluation module, the problems that need to be solved in the production process are reflected as a whole. The comprehensive optimization feedback module well guarantees the integrity and smoothness of the operation of the entire system through human-computer interaction. The real-time monitoring module provides a safe guarantee for the production of transformers by real-time monitoring of the entire production process.

Description

[0001] The present invention relates to the technical field of intelligent optimization of transformer production lines based on artificial intelligence, and more specifically, to an intelligent optimization system for transformer production lines based on artificial intelligence. Background Art

[0002] With the continuous development of artificial intelligence, it provides convenient services for human beings. Among them, in the production field, artificial intelligence has provided great help for the production of transformers, improved the production efficiency and production quality of transformers, and reduced production costs.

[0003] At present, the existing artificial intelligence transformer production line optimization system mainly includes: data acquisition module, data analysis module, data processing module, real-time detection module, human-computer interaction module, and post-maintenance module; the data acquisition module collects transformer-related data and uploads the collected data to the data analysis module for data analysis. The data analysis module analyzes and judges the data collected during the transformer production process, transmits the judgment results to the data processing module, and performs final processing on the data based on the analysis results; the real-time detection module conducts a series of supervision on the production process to prevent unexpected risks and ensure the safety of the entire production; the human-computer interaction module can flexibly control production through real-time adjustment of the production process, and the post-maintenance module conducts a comprehensive evaluation of the entire production process.

[0004] However, in actual use, it still has some shortcomings, such as the singleness of data collection, which makes it difficult to collect transformer data from multiple aspects. At the same time, the collected data is not accurate enough, and there are cases of missed detection, which makes it difficult to provide strong data support for transformer production, thereby affecting the production quality of the transformer. The data analysis is not perfect, which has an adverse effect on the subsequent data analysis, making the comprehensive evaluation inaccurate, and it is difficult to make accurate judgments in the later production adjustments, further affecting the optimization of transformer production. At the same time, there is also the problem of imperfect monitoring of the entire production line. These problems make transformer optimization difficult and cause low transformer production efficiency.

[0005] Therefore, there is an urgent need for an AI-based intelligent optimization system for transformer production lines to solve the problems of single collected data, inaccurate theoretical analysis, insufficient production efficiency, and imperfect monitoring in existing AI production line optimization systems. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an intelligent optimization system for a transformer production line based on artificial intelligence, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0007] To achieve the above object, the present invention provides the following technical solution: an intelligent optimization system for a transformer production line based on artificial intelligence, comprising:

[0008] The production area division module is used to determine the target production area as the target monitoring area, divide the target area into various sub-production areas according to the number of transformers produced in each target monitoring area, and mark them as 1, 2...n in sequence, and mark each transformer produced in each sub-production area as 1, 2...j in sequence.

[0009] The sub-production area transformer data acquisition module is used to collect data from any sub-production area, including transformer appearance data, transformer loss data, and transformer conventional performance data, and transmit the collected data to the sub-production area transformer data analysis module.

[0010] The sub-production area transformer data analysis module includes a transformer appearance data analysis unit, a transformer loss data analysis unit, and a transformer conventional performance data analysis unit, which is used to analyze the data transmitted by the sub-production area transformer data acquisition module and transmit the analysis results to the comprehensive production area evaluation module.

[0011] The comprehensive production area data evaluation module includes a sub-production area transformer comprehensive production quality rationality index analysis unit and a comprehensive production area transformer production quality rationality index analysis unit, which are used to analyze the data transmitted by the sub-production area transformer data analysis module and transmit the analysis results to the comprehensive optimization processing module.

[0012] The comprehensive optimization feedback module is used to establish a preset value of the comprehensive production quality rationality index of the transformer in the sub-production area, make a preliminary judgment based on the preset value of the comprehensive production quality rationality index of the transformer in the sub-production area, and then make a final judgment on the production quality of the transformer by evaluating the value of the comprehensive production area transformer production quality rationality index.

[0013] The real-time monitoring module monitors the sub-production area transformer data acquisition module, the sub-production area transformer data analysis module, the comprehensive production area data evaluation module, and the comprehensive optimization feedback module in real time to dynamically observe the entire production process.

[0014] Preferably, the appearance data includes the length η, width h, and thickness k of the transformer, the transformer loss data includes iron loss value, copper loss value, no-load loss value, and paint loss value, which are respectively recorded as Rs, Ro, Rc, and Rt, and the conventional performance data includes temperature rise limit, rated capacity, rated frequency, and wiring firmness parameters, which are respectively recorded as Tu, Ts, Te, and Tc.

[0015] Preferably, the transformer appearance data analysis and calculation unit is used to import the transformer appearance parameters of the sub-production area into the transformer appearance coefficient model of the sub-production area to obtain the transformer appearance coefficient fluctuation value of the sub-production area; the transformer loss analysis and calculation unit is used to import the transformer loss parameters of the sub-production area into the transformer loss coefficient model of the sub-production area to obtain the transformer loss coefficient value of the sub-production area; the transformer conventional performance analysis and calculation unit is used to import the conventional performance parameters of the transformer in the sub-production area into the conventional performance coefficient model of the transformer in the sub-production area to obtain the conventional performance coefficient value of the transformer in the sub-production area.

[0016] Preferably, the sub-production area transformer appearance coefficient model is specifically: Where T i represents the fluctuation value of the appearance coefficient of the i-th sub-production area, Δη represents the length of the standard transformer; Δh represents the width of the standard transformer; Δk represents the thickness of the standard transformer; η j , η j-1 They represent the lengths of the jth and j-1th transformers in the i-th sub-production area respectively; h j 、h j-1 Respectively represent the width of the jth and j-1th transformers in the i-th sub-production area; k j , k j-1 They represent the thickness of the j-th and j-1-th transformers in the i-th sub-production area respectively.

[0017] Preferably, the transformer loss coefficient model of the sub-production area is specifically: Among them, UM ij Rs represents the loss coefficient value of the jth transformer in the i-th sub-production area. j represents the iron loss value of the jth transformer in the ith sub-production area, Ro j Rc represents the copper loss value of the jth transformer in the ith sub-production area. j Rt represents the no-load loss value of the jth transformer in the ith sub-production area. j Represents the paint loss value of the jth transformer in the ith sub-production area.

[0018] Preferably, the conventional performance coefficient model of the transformer in the sub-production area is specifically: Among them HG ij represents the conventional performance coefficient value of the jth transformer in the ith sub-production area, Tu j Ts represents the upper temperature rise limit parameter of the jth transformer in the i-th sub-production area. j represents the rated capacity of the jth transformer in the ith sub-production area, Te j represents the rated frequency of the jth transformer in the ith sub-production area, Tc jrepresents the short-circuit impedance of the jth transformer in the ith sub-production area.

[0019] Preferably, the sub-production area transformer comprehensive production quality rationality index analysis unit is used to import the sub-production area transformer appearance coefficient value into the sub-production area transformer comprehensive production quality rationality index analysis model to obtain the sub-production area transformer comprehensive production quality rationality index value; the comprehensive production area transformer production quality rationality index analysis unit is used to import the sub-production area transformer comprehensive production quality rationality index value into the comprehensive production area transformer production quality rationality index analysis model to obtain the comprehensive production area transformer production quality rationality index value.

[0020] Preferably, the sub-production area transformer comprehensive production quality rationality index analysis model is specifically: Where E i T represents the rationality index value of comprehensive transformer production quality in the ith sub-production area; i represents the fluctuation value of the appearance coefficient of the i-th sub-production area; UM i HG represents the loss coefficient value of the transformer in the ith sub-production area; i Represents the conventional performance coefficient value of the ith sub-production area.

[0021] Preferably, the comprehensive production area transformer production quality rationality index analysis model is specifically: Where S represents the rationality index value of transformer production quality in the comprehensive production area, E i represents the value of the rationality index of the comprehensive production quality of transformers in the ith sub-production area; λ represents other influencing factors of the rationality index of the comprehensive production area transformer production quality.

[0022] Preferably, the preset value E of the sub-production area transformer comprehensive production quality rationality index is def , when E def <E i When E is , it means that the intelligent optimization index of the transformer production line in the ith sub-production area is greater than the preset value of the comprehensive production quality rationality index of the transformer in the sub-production area, indicating that the transformer production quality in the ith sub-production area is good. Then, the monitoring of the sub-production area is maintained. def >E i When , it means that the comprehensive transformer production line intelligent optimization index of the ith sub-production area is less than the preset value of the comprehensive transformer production line intelligent optimization index, indicating that the transformer quality of the ith sub-production area is poor, and the area that needs to be optimized is fed back to the terminal technician; when S<=50%, it means that the overall production quality of the transformer is good, and when S>50%, it means that the production quality of the transformer is poor, and it is fed back to the terminal technician for real-time adjustment.

[0023] Technical effects and advantages of the present invention:

[0024] 1. The present invention divides each production area into sections, accurately tracking the production of each transformer, and greatly reduces the probability of missed detection; by collecting data on transformer size parameters, transformer weight parameters, and transformer hardness parameters of each sub-area transformer, the breadth of the data is greatly improved, the singularity of the data is avoided, and strong data support is provided for the analysis of transformer production;

[0025] 2. By analyzing the data collected from each sub-production area, and establishing a transformer appearance data analysis unit, a transformer loss data analysis unit, and a transformer conventional performance data analysis unit, the collected data is analyzed to provide strong decision-making support for transformer production;

[0026] 3. Through the evaluation of comprehensive production area data, the production quality and comprehensive production quality of each area are specifically evaluated, which provides a theoretical basis for the production quality of the transformer. By optimizing the feedback module, the production areas that need to be adjusted are optimized in real time, which improves the efficiency of transformer production. The real-time detection module provides safety protection for the production of the transformer through real-time monitoring of each module. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] like Figure 1 An artificial intelligence-based intelligent optimization system for a transformer production line is shown, comprising a production area division module, a sub-production area transformer data acquisition module, a sub-production area transformer data analysis module, a comprehensive production area data evaluation module, a comprehensive optimization feedback module, and a real-time monitoring module.

[0030] The output end of the production area division module is telecommunication connected to the input end of the sub-production area transformer data acquisition module, the output end of the sub-production area transformer data acquisition module is telecommunication connected to the input end of the sub-production area transformer data analysis module and the real-time monitoring module, the output end of the sub-production area transformer data analysis module is telecommunication connected to the input end of the comprehensive production area data evaluation module and the real-time monitoring module, the output end of the comprehensive production area data evaluation module is telecommunication connected to the input end of the comprehensive optimization feedback module and the real-time monitoring module, and the input end of the comprehensive optimization feedback module is telecommunication connected to the input end of the real-time monitoring module.

[0031] The production area division module is used to determine the target production area as the target monitoring area, divide the target area into various sub-production areas according to the number of transformers produced in each target monitoring area, and mark them as 1, 2...n in sequence, and mark each transformer produced in each sub-production area as 1, 2...j in sequence.

[0032] The sub-production area transformer data acquisition module is used to collect data from any sub-production area, including transformer appearance data, transformer loss data, and transformer conventional performance data, and transmit the collected data to the sub-production area transformer data analysis module.

[0033] In this embodiment, it should be specifically explained that the appearance data includes the length η, width h, and thickness k of the transformer; the transformer loss data includes the iron loss value, copper loss value, no-load loss value, and paint loss value, which are respectively denoted as Rs, Ro, Rc, and Rt; the conventional performance data includes the temperature rise limit, rated capacity, rated frequency, and wiring firmness parameters, which are respectively denoted as Tu, Ts, Te, and Tc.

[0034] The sub-production area transformer data analysis module includes a transformer appearance data analysis unit, a transformer loss data analysis unit, and a transformer conventional performance data analysis unit, which is used to analyze the data transmitted by the sub-production area transformer data acquisition module and transmit the analysis results to the comprehensive production area evaluation module.

[0035] The transformer appearance data analysis and calculation unit is used to import the transformer appearance parameters of the sub-production area into the transformer appearance coefficient model of the sub-production area to obtain the transformer appearance coefficient fluctuation value of the sub-production area; the transformer loss analysis and calculation unit is used to import the transformer loss parameters of the sub-production area into the transformer loss coefficient model of the sub-production area to obtain the transformer loss coefficient value of the sub-production area; the transformer conventional performance analysis and calculation unit is used to import the conventional performance parameters of the transformer in the sub-production area into the conventional performance coefficient model of the transformer in the sub-production area to obtain the conventional performance coefficient value of the transformer in the sub-production area.

[0036] In this embodiment, it should be specifically explained that the transformer appearance coefficient model of the sub-production area is specifically: Where T i represents the fluctuation value of the appearance coefficient of the i-th sub-production area, Δη represents the length of the standard transformer; Δh represents the width of the standard transformer; Δk represents the thickness of the standard transformer; η j , η j-1 They represent the lengths of the jth and j-1th transformers in the i-th sub-production area respectively; h j 、h j-1 Respectively represent the width of the jth and j-1th transformers in the i-th sub-production area; k j , k j-1 They represent the thickness of the j-th and j-1-th transformers in the i-th sub-production area respectively.

[0037] In this embodiment, it should be specifically explained that the transformer loss coefficient model of the sub-production area is specifically: Among them, UM ij Rs represents the loss coefficient value of the jth transformer in the i-th sub-production area. j represents the iron loss value of the jth transformer in the ith sub-production area, Ro j Rc represents the copper loss value of the jth transformer in the ith sub-production area. j Rt represents the no-load loss value of the jth transformer in the ith sub-production area. j Represents the paint loss value of the jth transformer in the ith sub-production area.

[0038] In this embodiment, it should be specifically explained that the conventional performance coefficient model of the transformer in the sub-production area is specifically: Among them HG ij represents the conventional performance coefficient value of the jth transformer in the ith sub-production area, Tu j Ts represents the upper temperature rise limit parameter of the jth transformer in the i-th sub-production area. j represents the rated capacity of the jth transformer in the ith sub-production area, Te j represents the rated frequency of the jth transformer in the ith sub-production area, Tc j represents the short-circuit impedance of the jth transformer in the ith sub-production area.

[0039] The comprehensive production area data evaluation module includes a sub-production area transformer comprehensive production quality rationality index analysis unit and a comprehensive production area transformer production quality rationality index analysis unit, which are used to analyze the data transmitted by the sub-production area transformer data analysis module and transmit the analysis results to the comprehensive optimization processing module.

[0040] The sub-production area transformer comprehensive production quality rationality index analysis unit is used to import the sub-production area transformer appearance coefficient value into the sub-production area transformer comprehensive production quality rationality index analysis model to obtain the sub-production area transformer comprehensive production quality rationality index value; the comprehensive production area transformer production quality rationality index analysis unit is used to import the sub-production area transformer comprehensive production quality rationality index value into the comprehensive production area transformer production quality rationality index analysis model to obtain the comprehensive production area transformer production quality rationality index value.

[0041] In this embodiment, it should be specifically explained that the sub-production area transformer comprehensive production quality rationality index analysis model is specifically: Where E i T represents the rationality index value of comprehensive transformer production quality in the ith sub-production area; i represents the fluctuation value of the appearance coefficient of the i-th sub-production area; UM i HG represents the loss coefficient value of the transformer in the ith sub-production area; i Represents the conventional performance coefficient value of the ith sub-production area.

[0042] In this embodiment, it should be specifically explained that the comprehensive production area transformer production quality rationality index analysis model is specifically: Where S represents the rationality index value of transformer production quality in the comprehensive production area, E i represents the value of the rationality index of the comprehensive production quality of transformers in the ith sub-production area; λ represents other influencing factors of the rationality index of the comprehensive production area transformer production quality.

[0043] The comprehensive optimization feedback module is used to establish a preset value of the comprehensive production quality rationality index of the transformer in the sub-production area, make a preliminary judgment based on the preset value of the comprehensive production quality rationality index of the transformer in the sub-production area, and then make a final judgment on the production quality of the transformer by evaluating the value of the comprehensive production area transformer production quality rationality index.

[0044] In this embodiment, it is necessary to specifically explain that the preset value E of the transformer comprehensive production quality rationality index in the sub-production area is def , when E def <E i When E is , it means that the intelligent optimization index of the transformer production line in the ith sub-production area is greater than the preset value of the comprehensive production quality rationality index of the transformer in the sub-production area, indicating that the transformer production quality in the ith sub-production area is good. Then, the monitoring of the sub-production area is maintained. def >E iWhen , it means that the comprehensive transformer production line intelligent optimization index of the ith sub-production area is less than the preset value of the comprehensive transformer production line intelligent optimization index, indicating that the transformer quality of the ith sub-production area is poor, and the area that needs to be optimized is fed back to the terminal technician; when S<=50%, it means that the overall production quality of the transformer is good, and when S>50%, it means that the production quality of the transformer is poor, and it is fed back to the terminal technician for real-time adjustment.

[0045] The real-time monitoring module monitors the sub-production area transformer data acquisition module, the sub-production area transformer data analysis module, the comprehensive production area data evaluation module, and the comprehensive optimization feedback module in real time to dynamically observe the entire production process.

[0046] The present invention divides each production area, accurately to the production of each transformer, thereby greatly reducing the probability of missed detection; by collecting data on transformer size parameters, transformer weight parameters and transformer hardness parameters of each sub-area transformer, the breadth of data is greatly improved, the singleness of data is avoided, and strong data support is provided for the analysis of transformer production; by analyzing the data collected from each sub-production area, and establishing a transformer appearance data analysis unit, a transformer loss data analysis unit, and a transformer conventional performance data analysis unit, the collected data are analyzed, thereby providing strong decision-making support for the production of transformers; through the evaluation of comprehensive production area data, the production quality and comprehensive production quality of each area are specifically evaluated, and a theoretical basis is provided for the production quality of the transformer; through the optimization feedback module, the production area that needs to be adjusted is optimized in real time, thereby improving the efficiency of transformer production; the real-time monitoring module provides safety protection for the production of the transformer through real-time monitoring of each module.

[0047] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0048] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent optimization system for transformer production line based on artificial intelligence, The invention comprises, wherein: Production area division module: used to determine the target production area as the target monitoring area, divide the target area into various sub-production areas according to the number of transformers produced in each target monitoring area, and mark them as 1, 2...n in sequence, and mark each transformer produced in each sub-production area as 1, 2...j in sequence; Sub-production area transformer data acquisition module: used to collect data from any sub-production area, including transformer appearance data, transformer loss data, transformer general performance data, and transmit the collected data to the sub-production area transformer data analysis module; The appearance data includes the length η, width h and thickness k of the transformer; the transformer loss data includes the iron loss value, copper loss value, no-load loss value and paint loss value, which are respectively recorded as Rs, Ro, Rc and Rt; the conventional performance data includes the temperature rise limit, rated capacity, rated frequency and short-circuit impedance, which are respectively recorded as Tu, Ts, Te and Tc; Sub-production area transformer data analysis module: including transformer appearance data analysis unit, transformer loss data analysis unit, transformer conventional performance data analysis unit, used for analyzing the data transmitted by the sub-production area transformer data acquisition module, and transmitting the analysis results to the comprehensive production area evaluation module; the transformer appearance data analysis and calculation unit is used for importing the sub-production area transformer appearance parameters into the sub-production area transformer appearance coefficient model, and obtaining the sub-production area transformer appearance coefficient fluctuation value; the transformer loss analysis and calculation unit is used for importing the sub-production area transformer loss parameters into the sub-production area transformer loss coefficient model, and obtaining the sub-production area transformer loss coefficient value; the transformer conventional performance analysis and calculation unit is used for importing the sub-production area transformer conventional performance parameters into the sub-production area transformer conventional performance coefficient model, and obtaining the sub-production area transformer conventional performance coefficient value; the sub-production area transformer appearance coefficient model is specifically: Where T i represents the fluctuation value of the appearance coefficient of the i-th sub-production area, Δη represents the length of the standard transformer; Δh represents the width of the standard transformer; Δk represents the thickness of the standard transformer; η j , η j-1 They represent the lengths of the jth and j-1th transformers in the i-th sub-production area respectively; h j 、h j-1 Respectively represent the width of the jth and j-1th transformers in the i-th sub-production area; k j , k j-1 They represent the thickness of the jth and j-1th transformers in the i-th sub-production area respectively; the transformer loss coefficient model of the sub-production area is specifically: Among them, UM ij Rs represents the loss coefficient value of the jth transformer in the i-th sub-production area. j represents the iron loss value of the jth transformer in the ith sub-production area, Ro j Rc represents the copper loss value of the jth transformer in the ith sub-production area. j Rt represents the no-load loss value of the jth transformer in the ith sub-production area. j represents the paint loss value of the jth transformer in the ith sub-production area; the conventional performance coefficient model of the transformer in the sub-production area is specifically: Among them HG ij represents the conventional performance coefficient value of the jth transformer in the ith sub-production area, Tu j Ts represents the upper temperature rise limit parameter of the jth transformer in the i-th sub-production area. j represents the rated capacity of the jth transformer in the ith sub-production area, Te j represents the rated frequency of the jth transformer in the ith sub-production area, Tc j represents the short-circuit impedance of the jth transformer in the ith sub-production area; Comprehensive production area data evaluation module: including sub-production area transformer comprehensive production quality rationality index analysis unit and comprehensive production area transformer production quality rationality index analysis unit, used for analyzing the data transmitted by the sub-production area transformer data analysis module, and transmitting the analysis results to the comprehensive optimization processing module; The sub-production area transformer comprehensive production quality rationality index analysis unit is used to import the sub-production area transformer appearance coefficient value into the sub-production area transformer comprehensive production quality rationality index analysis model to obtain the sub-production area transformer comprehensive production quality rationality index value; the comprehensive production area transformer production quality rationality index analysis unit is used to import the sub-production area transformer comprehensive production quality rationality index value into the comprehensive production area transformer production quality rationality index analysis model to obtain the comprehensive production area transformer production quality rationality index value; the sub-production area transformer comprehensive production quality rationality index analysis model is specifically: Where E i T represents the rationality index value of comprehensive transformer production quality in the ith sub-production area; i represents the fluctuation value of the appearance coefficient of the i-th sub-production area; UM i HG represents the loss coefficient value of the transformer in the ith sub-production area; i represents the conventional performance coefficient value of the ith sub-production area; the comprehensive production area transformer production quality rationality index analysis model is specifically: Where S represents the rationality index value of transformer production quality in the comprehensive production area, E i represents the value of the rationality index of the comprehensive production quality of transformers in the ith sub-production area; λ represents other influencing factors of the rationality index of the comprehensive production area transformer production quality; Comprehensive optimization feedback module: used to establish a preset value of the comprehensive production quality rationality index of transformers in the sub-production area, make a preliminary judgment based on the preset value of the comprehensive production quality rationality index of transformers in the sub-production area, and then make a final judgment on the production quality of the transformer by evaluating the value of the comprehensive production area transformer production quality rationality index; Real-time monitoring module: through real-time monitoring of the sub-production area transformer data acquisition module, sub-production area transformer data analysis module, comprehensive production area data evaluation module, and comprehensive optimization feedback module, the entire production process can be dynamically observed.

2. The intelligent optimization system for transformer production line based on artificial intelligence according to claim 1 is characterized in that: The preset value E of the comprehensive production quality rationality index of transformers in the sub-production area def , when E def <E i When E is , it means that the intelligent optimization index of the transformer production line in the ith sub-production area is greater than the preset value of the comprehensive production quality rationality index of the transformer in the sub-production area, indicating that the transformer production quality in the ith sub-production area is good. Then, the monitoring of the sub-production area is maintained. def >E i When , it means that the comprehensive transformer production line intelligent optimization index of the ith sub-production area is less than the preset value of the comprehensive transformer production line intelligent optimization index, indicating that the transformer quality of the ith sub-production area is poor, and the area that needs to be optimized is fed back to the terminal technician; when S<=50%, it means that the overall production quality of the transformer is good, and when S>50%, it means that the production quality of the transformer is poor, and it is fed back to the terminal technician for real-time adjustment.

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