Sensing equipment management system based on multi-dimensional transformer monitoring

Abstract

The invention discloses a sensing equipment management system based on multi-dimensional transformer monitoring, which belongs to the technical field of electric power and comprises a data acquisition module, a data processing module, a model training module, a test optimization module, an analysis and prediction module and an intelligent management module. The problems that in the prior art, sensing equipment cannot be intelligently managed based on multi-dimensional transformer monitoring, abnormal behaviors and faults of the transformer sensing equipment cannot be found in time, and the transformer sensing equipment cannot be maintained in time, so that the safe operation efficiency of a gas turbine generator set is low are solved. According to the invention, a sensing equipment management scheme based on multi-dimensional transformer monitoring is formulated, intelligent management is carried out on the sensing equipment, intelligent management can be carried out on the sensing equipment based on multi-dimensional transformer monitoring, abnormal behaviors and faults of the transformer sensing equipment can be found in time, and the transformer sensing equipment can be maintained in time. And the safe operation efficiency of the gas turbine generator set can be improved.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to a sensor equipment management system based on multi-dimensional transformer monitoring. Background Art

[0002] Gas turbine generator sets and transformers play an indispensable role in the power system, and there is a close connection and dependence between them. Among them, the gas turbine generator set is an important part of the power system, mainly responsible for converting mechanical energy into electrical energy; this conversion process usually occurs inside the generator, and is achieved through the principle of electromagnetic induction. The electric energy generated by the gas turbine generator set needs to pass through the transformer to increase or decrease the voltage to meet the needs of the power grid and transmission conditions. The transformer plays a key role in the power system. It can increase the voltage to meet the needs of long-distance transmission, or reduce the voltage to meet the electricity needs of end users.

[0003] Specifically, the electricity generated by gas turbine generator sets usually has a higher voltage, because high voltage can reduce the loss during the transmission of electricity. However, directly using high-voltage electricity is not suitable for all users, so it needs to be converted to a lower voltage suitable for use in homes and industrial enterprises through a transformer. This process includes using a step-up transformer to increase the voltage to a level suitable for long-distance transmission, and using a step-down transformer to reduce the voltage to a level suitable for end users. However, due to the complex and changeable operating conditions of gas turbine generator sets, the monitoring and protection of transformers is particularly important, so comprehensive management of transformer sensing equipment is required.

[0004] The existing system cannot perform intelligent management of sensor equipment based on multi-dimensional transformer monitoring, cannot detect abnormal behavior and failure of transformer sensor equipment in a timely manner, and cannot perform timely maintenance of transformer sensor equipment, resulting in low safety and efficiency of gas turbine generator sets. Summary of the invention

[0005] The purpose of the present invention is to provide a sensor equipment management system based on multi-dimensional transformer monitoring, which can perform intelligent management of sensor equipment based on multi-dimensional transformer monitoring, can timely discover abnormal behavior and faults of transformer sensor equipment, and can perform timely maintenance of transformer sensor equipment, thereby improving the safe operation efficiency of gas turbine generator sets and solving the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] Sensor equipment management system based on multi-dimensional transformer monitoring, including:

[0008] The data acquisition module is used to collect transformer monitoring temperature data, pressure data, current data and vibration data, and determine the real-time data of the sensor equipment based on multi-dimensional transformer monitoring;

[0009] A data processing module, used to process real-time data of sensor equipment based on multi-dimensional transformer monitoring, and determine characteristic data of sensor equipment based on multi-dimensional transformer monitoring;

[0010] A model training module is used to build a sensor device recognition model based on multi-dimensional transformer monitoring according to the sensor device management requirements based on multi-dimensional transformer monitoring;

[0011] A test optimization module is used to test and optimize the sensor device identification model based on multi-dimensional transformer monitoring to determine the optimal sensor device identification model based on multi-dimensional transformer monitoring;

[0012] An analysis and prediction module is used to analyze and predict the characteristic data of the sensor equipment based on multi-dimensional transformer monitoring, and determine the identification result of the sensor equipment based on multi-dimensional transformer monitoring;

[0013] The intelligent management module is used to formulate a sensor equipment management plan based on multi-dimensional transformer monitoring and to perform intelligent management of the sensor equipment.

[0014] Preferably, the data acquisition module includes:

[0015] The temperature acquisition unit is used to monitor and collect the temperature of the transformer sensor equipment in the gas turbine generator set in real time and obtain the transformer monitoring temperature data;

[0016] The pressure acquisition unit is used to monitor and collect the pressure of the transformer sensor equipment in the gas turbine generator set in real time and obtain the transformer monitoring pressure data;

[0017] The current acquisition unit is used to monitor and collect the current conditions of the transformer sensor equipment in the gas turbine generator set in real time and obtain the transformer monitoring current data;

[0018] The vibration collection unit is used to monitor and collect the vibration conditions of the transformer sensor equipment in the gas turbine generator set in real time and obtain the transformer monitoring vibration data;

[0019] Among them, based on the transformer monitoring temperature data, pressure data, current data and vibration data, the real-time data of the sensor equipment based on multi-dimensional transformer monitoring is determined.

[0020] Preferably, the data processing module includes:

[0021] A data cleaning unit, used to clean the real-time data of the sensor equipment;

[0022] Obtain real-time data from sensor equipment based on multi-dimensional transformer monitoring;

[0023] Clean the real-time data of sensor equipment based on multi-dimensional transformer monitoring, including:

[0024] Conduct consistency checks on real-time data from sensor equipment based on multi-dimensional transformer monitoring;

[0025] Check whether the real-time data of the sensor equipment meets the requirements based on the reasonable value range and mutual relationship of each parameter in the real-time data of the sensor equipment based on multi-dimensional transformer monitoring;

[0026] Remove inconsistent data that is beyond the normal range, logically unreasonable or contradictory in the real-time data of sensor equipment based on multi-dimensional transformer monitoring;

[0027] Process invalid and missing values ​​of real-time data of sensor equipment based on multi-dimensional transformer monitoring;

[0028] Remove invalid data and missing data that are of no value to sensor equipment management in real-time data of sensor equipment based on multi-dimensional transformer monitoring;

[0029] Identify real-time sensor device data that is valuable for sensor device management.

[0030] Preferably, the data processing module further includes:

[0031] A data conversion unit, used for converting the real-time data of the sensor device after cleaning;

[0032] Obtain real-time data of sensor equipment that is valuable for sensor equipment management after cleaning;

[0033] Convert real-time data of sensor equipment that is valuable for sensor equipment management;

[0034] Eliminate the dimensional differences between real-time data of sensor devices that are valuable for sensor device management;

[0035] Determine the real-time data of sensor equipment with data standardization;

[0036] A feature extraction unit, used for extracting features from the converted real-time data of the sensor device;

[0037] Acquire real-time data from sensor devices after conversion and data standardization;

[0038] Extract features from real-time data of sensor equipment with data standardization;

[0039] Extract features that reflect sensor device management;

[0040] Determine the characteristic data of sensor equipment based on multi-dimensional transformer monitoring.

[0041] Preferably, the model training module includes:

[0042] A data collection unit for collecting historical data of sensor equipment based on multi-dimensional transformer monitoring;

[0043] According to the sensor equipment management requirements based on multi-dimensional transformer monitoring, historical data of sensor equipment based on multi-dimensional transformer monitoring is collected and reserved;

[0044] A model building unit, used to build a sensor device identification model based on multi-dimensional transformer monitoring;

[0045] Obtain historical data of sensor equipment based on multi-dimensional transformer monitoring;

[0046] Divide the historical data of sensor equipment based on multi-dimensional transformer monitoring;

[0047] Determine the training data set and the test data set;

[0048] According to the sensor equipment management requirements based on multi-dimensional transformer monitoring, a neural network model framework suitable for sensor equipment anomaly identification is selected;

[0049] Based on the training data set, the neural network model framework selected for sensor equipment anomaly recognition is trained to determine the sensor equipment recognition model based on multi-dimensional transformer monitoring.

[0050] Preferably, the test optimization module includes:

[0051] A test and evaluation unit, used for testing and evaluating the sensor device recognition model;

[0052] Obtain sensor equipment identification model based on multi-dimensional transformer monitoring;

[0053] Based on the test data set, test and evaluate the sensor device recognition model;

[0054] Determine the test evaluation results based on the sensor device identification model;

[0055] An adjustment and optimization unit, used for adjusting and optimizing the recognition model of the sensor device;

[0056] Obtain test evaluation results based on sensor device identification models;

[0057] Mining and analyzing the test evaluation results based on the sensor equipment recognition model;

[0058] Determine the adjustment and optimization plan based on the sensor equipment recognition model;

[0059] According to the adjustment and optimization scheme based on the sensor device identification model, the parameters of the sensor device identification model are adjusted and optimized to determine the optimal sensor device identification model based on multi-dimensional transformer monitoring.

[0060] Preferably, the analysis and prediction module includes:

[0061] A data extraction unit, used to extract characteristic data of sensor equipment based on multi-dimensional transformer monitoring;

[0062] According to the sensor equipment management requirements based on multi-dimensional transformer monitoring, the characteristic data of the sensor equipment based on multi-dimensional transformer monitoring is extracted;

[0063] An analysis and prediction unit, used to analyze and predict characteristic data of sensor equipment based on multi-dimensional transformer monitoring;

[0064] Obtain the optimal sensor equipment identification model based on multi-dimensional transformer monitoring;

[0065] According to the optimal sensor equipment identification model based on multi-dimensional transformer monitoring, the characteristic data of the sensor equipment based on multi-dimensional transformer monitoring is analyzed and predicted to identify abnormal behavior of the sensor equipment;

[0066] Determine the sensor equipment identification results based on multi-dimensional transformer monitoring.

[0067] Preferably, the intelligent management module includes:

[0068] Strategy execution unit, used to formulate sensor equipment management plan based on multi-dimensional transformer monitoring;

[0069] Obtain sensor equipment identification results based on multi-dimensional transformer monitoring;

[0070] Based on the sensor equipment identification results, the characteristic data of the sensor equipment based on multi-dimensional transformer monitoring is mined and analyzed;

[0071] Determine a sensor equipment management solution based on multi-dimensional transformer monitoring;

[0072] Intelligent management unit, used for intelligent management of sensor equipment;

[0073] Obtain sensor equipment management solutions based on multi-dimensional transformer monitoring;

[0074] According to the sensor equipment management solution based on multi-dimensional transformer monitoring, the sensor equipment based on multi-dimensional transformer monitoring is managed intelligently.

[0075] Preferably, the intelligent management module further includes:

[0076] A visual display unit, used for visually displaying the sensor equipment management report;

[0077] Obtain sensor equipment management solutions based on multi-dimensional transformer monitoring;

[0078] Mining and analyzing sensor equipment management solutions based on multi-dimensional transformer monitoring;

[0079] A sensor device management report is generated and displayed to the user in a visual form.

[0080] Preferably, the sensor equipment is managed intelligently, and the following operations are performed:

[0081] Timely warnings are issued for abnormal behaviors of sensor equipment, and the warning information is transmitted to sensor equipment managers in real time. The causes of abnormal failures of sensor equipment are promptly found and locked, measures are taken to eliminate abnormal failures of sensor equipment, and intelligent guidance is given to sensor equipment managers to perform maintenance and management of sensor equipment.

[0082] Compared with the prior art, the present invention has the following beneficial effects:

[0083] The present invention collects real-time data of sensor equipment based on multi-dimensional transformer monitoring, processes the real-time data of sensor equipment, determines characteristic data of sensor equipment, and constructs a sensor equipment identification model based on multi-dimensional transformer monitoring according to the management requirements of sensor equipment based on multi-dimensional transformer monitoring. The optimal sensor equipment identification model based on multi-dimensional transformer monitoring is determined by testing and optimizing the sensor equipment identification model. According to the optimal sensor equipment identification model based on multi-dimensional transformer monitoring, the characteristic data of sensor equipment is analyzed and predicted to determine the identification result of sensor equipment based on multi-dimensional transformer monitoring, and a sensor equipment management plan based on multi-dimensional transformer monitoring is formulated to manage the sensor equipment intelligently. The sensor equipment can be intelligently managed based on multi-dimensional transformer monitoring, abnormal behavior and faults of transformer sensor equipment can be discovered in time, and transformer sensor equipment can be maintained in time, thereby improving the safe operation efficiency of gas turbine generator sets. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 It is a module diagram of the sensor equipment management system based on multi-dimensional transformer monitoring of the present invention;

[0085] Figure 2 This is a structural diagram of the sensor equipment management system based on multi-dimensional transformer monitoring of the present invention. DETAILED DESCRIPTION

[0086] 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.

[0087] In order to solve the existing problems of inability to intelligently manage sensor equipment based on multi-dimensional transformer monitoring, inability to timely detect abnormal behavior and failure of transformer sensor equipment, and inability to timely maintain transformer sensor equipment, resulting in low safety and efficiency of gas turbine generator sets, please refer to Figure 1-Figure 2 , this embodiment provides the following technical solutions:

[0088] The sensor equipment management system based on multi-dimensional transformer monitoring includes: data acquisition module, data processing module, model training module, test optimization module, analysis and prediction module and intelligent management module.

[0089] It should be noted that through the interactive communication between the data acquisition module, the data processing module, the model training module, the test optimization module, the analysis and prediction module and the intelligent management module, the sensor equipment can be intelligently managed based on multi-dimensional transformer monitoring, the abnormal behavior and faults of the transformer sensor equipment can be discovered in time, and the transformer sensor equipment can be maintained in time, which can improve the safe operation efficiency of the gas turbine generator set.

[0090] Specifically, the data acquisition module is used to collect transformer monitoring temperature data, pressure data, current data and vibration data, and determine the real-time data of the sensor equipment based on multi-dimensional transformer monitoring.

[0091] In this embodiment, the data acquisition module includes:

[0092] The temperature acquisition unit is used to monitor and collect the temperature of the transformer sensor equipment in the gas turbine generator set in real time and obtain the transformer monitoring temperature data;

[0093] The pressure acquisition unit is used to monitor and collect the pressure of the transformer sensor equipment in the gas turbine generator set in real time and obtain the transformer monitoring pressure data;

[0094] The current acquisition unit is used to monitor and collect the current conditions of the transformer sensor equipment in the gas turbine generator set in real time and obtain the transformer monitoring current data;

[0095] The vibration collection unit is used to monitor and collect the vibration conditions of the transformer sensor equipment in the gas turbine generator set in real time and obtain the transformer monitoring vibration data;

[0096] Among them, based on the transformer monitoring temperature data, pressure data, current data and vibration data, the real-time data of the sensor equipment based on multi-dimensional transformer monitoring is determined.

[0097] Specifically, the data processing module is used to process the real-time data of the sensor equipment based on multi-dimensional transformer monitoring, and determine the characteristic data of the sensor equipment based on multi-dimensional transformer monitoring.

[0098] In this embodiment, the data processing module includes:

[0099] A data cleaning unit, used to clean the real-time data of the sensor equipment;

[0100] Obtain real-time data from sensor equipment based on multi-dimensional transformer monitoring;

[0101] Clean the real-time data of sensor equipment based on multi-dimensional transformer monitoring, including:

[0102] Conduct consistency checks on real-time data from sensor equipment based on multi-dimensional transformer monitoring;

[0103] Check whether the real-time data of the sensor equipment meets the requirements based on the reasonable value range and mutual relationship of each parameter in the real-time data of the sensor equipment based on multi-dimensional transformer monitoring;

[0104] Remove inconsistent data that is beyond the normal range, logically unreasonable or contradictory in the real-time data of sensor equipment based on multi-dimensional transformer monitoring;

[0105] Process invalid and missing values ​​of real-time data of sensor equipment based on multi-dimensional transformer monitoring;

[0106] Remove invalid data and missing data that are of no value to sensor equipment management in real-time data of sensor equipment based on multi-dimensional transformer monitoring;

[0107] Identify the real-time data of sensor equipment that is valuable for sensor equipment management;

[0108] A data conversion unit, used for converting the real-time data of the sensor device after cleaning;

[0109] Obtain real-time data of sensor equipment that is valuable for sensor equipment management after cleaning;

[0110] Convert real-time data of sensor equipment that is valuable for sensor equipment management;

[0111] Eliminate the dimensional differences between real-time data of sensor devices that are valuable for sensor device management;

[0112] Determine the real-time data of sensor equipment with data standardization;

[0113] A feature extraction unit, used for extracting features from the converted real-time data of the sensor device;

[0114] Acquire real-time data from sensor devices after conversion and data standardization;

[0115] Extract features from real-time data of sensor equipment with data standardization;

[0116] Extract features that reflect sensor device management;

[0117] Determine the characteristic data of sensor equipment based on multi-dimensional transformer monitoring.

[0118] Specifically, the model training module is used to build a sensor device identification model based on multi-dimensional transformer monitoring according to the sensor device management requirements based on multi-dimensional transformer monitoring.

[0119] In this embodiment, the model training module includes:

[0120] A data collection unit for collecting historical data of sensor equipment based on multi-dimensional transformer monitoring;

[0121] According to the sensor equipment management requirements based on multi-dimensional transformer monitoring, historical data of sensor equipment based on multi-dimensional transformer monitoring is collected and reserved;

[0122] A model building unit, used to build a sensor device identification model based on multi-dimensional transformer monitoring;

[0123] Obtain historical data of sensor equipment based on multi-dimensional transformer monitoring;

[0124] Divide the historical data of sensor equipment based on multi-dimensional transformer monitoring;

[0125] Determine the training data set and the test data set;

[0126] According to the sensor equipment management requirements based on multi-dimensional transformer monitoring, a neural network model framework suitable for sensor equipment anomaly identification is selected;

[0127] Based on the training data set, the neural network model framework selected for sensor equipment anomaly recognition is trained to determine the sensor equipment recognition model based on multi-dimensional transformer monitoring.

[0128] Specifically, the test optimization module is used to test and optimize the sensor device identification model based on multi-dimensional transformer monitoring to determine the optimal sensor device identification model based on multi-dimensional transformer monitoring.

[0129] In this embodiment, the test optimization module includes:

[0130] A test and evaluation unit, used for testing and evaluating the sensor device recognition model;

[0131] Obtain sensor equipment identification model based on multi-dimensional transformer monitoring;

[0132] Based on the test data set, test and evaluate the sensor device recognition model;

[0133] Determine the test evaluation results based on the sensor device identification model;

[0134] An adjustment and optimization unit, used for adjusting and optimizing the recognition model of the sensor device;

[0135] Obtain test evaluation results based on sensor device identification models;

[0136] Mining and analyzing the test evaluation results based on the sensor equipment recognition model;

[0137] Determine the adjustment and optimization plan based on the sensor equipment recognition model;

[0138] According to the adjustment and optimization scheme based on the sensor device identification model, the parameters of the sensor device identification model are adjusted and optimized to determine the optimal sensor device identification model based on multi-dimensional transformer monitoring.

[0139] Specifically, the analysis and prediction module is used to analyze and predict the characteristic data of the sensor equipment based on multi-dimensional transformer monitoring, and determine the identification results of the sensor equipment based on multi-dimensional transformer monitoring.

[0140] In this embodiment, the analysis and prediction module includes:

[0141] A data extraction unit, used to extract characteristic data of sensor equipment based on multi-dimensional transformer monitoring;

[0142] According to the sensor equipment management requirements based on multi-dimensional transformer monitoring, the characteristic data of the sensor equipment based on multi-dimensional transformer monitoring is extracted;

[0143] An analysis and prediction unit, used to analyze and predict characteristic data of sensor equipment based on multi-dimensional transformer monitoring;

[0144] Obtain the optimal sensor equipment identification model based on multi-dimensional transformer monitoring;

[0145] According to the optimal sensor equipment identification model based on multi-dimensional transformer monitoring, the characteristic data of the sensor equipment based on multi-dimensional transformer monitoring is analyzed and predicted to identify abnormal behavior of the sensor equipment;

[0146] Determine the sensor equipment identification results based on multi-dimensional transformer monitoring.

[0147] Specifically, the intelligent management module is used to formulate a sensor equipment management plan based on multi-dimensional transformer monitoring and to perform intelligent management of the sensor equipment.

[0148] In this embodiment, the intelligent management module includes:

[0149] Strategy execution unit, used to formulate sensor equipment management plan based on multi-dimensional transformer monitoring;

[0150] Obtain sensor equipment identification results based on multi-dimensional transformer monitoring;

[0151] Based on the sensor equipment identification results, the characteristic data of the sensor equipment based on multi-dimensional transformer monitoring is mined and analyzed;

[0152] Determine a sensor equipment management solution based on multi-dimensional transformer monitoring;

[0153] Intelligent management unit, used for intelligent management of sensor equipment;

[0154] Obtain sensor equipment management solutions based on multi-dimensional transformer monitoring;

[0155] Intelligent management of sensor equipment based on multi-dimensional transformer monitoring according to the sensor equipment management solution based on multi-dimensional transformer monitoring;

[0156] A visual display unit, used for visually displaying the sensor equipment management report;

[0157] Obtain sensor equipment management solutions based on multi-dimensional transformer monitoring;

[0158] Mining and analyzing sensor equipment management solutions based on multi-dimensional transformer monitoring;

[0159] A sensor device management report is generated and displayed to the user in a visual form.

[0160] In this embodiment, the sensor device is managed intelligently, and the following operations are performed:

[0161] Timely warnings are issued for abnormal behaviors of sensor equipment, and the warning information is transmitted to sensor equipment managers in real time. The causes of abnormal failures of sensor equipment are promptly found and locked, measures are taken to eliminate abnormal failures of sensor equipment, and intelligent guidance is given to sensor equipment managers to perform maintenance and management of sensor equipment.

[0162] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0163] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A sensor equipment management system based on multi-dimensional transformer monitoring, characterized in that: include: The data acquisition module is used to collect transformer monitoring temperature data, pressure data, current data and vibration data, and determine the real-time data of the sensor equipment based on multi-dimensional transformer monitoring; A data processing module, used to process real-time data of sensor equipment based on multi-dimensional transformer monitoring, and determine characteristic data of sensor equipment based on multi-dimensional transformer monitoring; A model training module is used to build a sensor device recognition model based on multi-dimensional transformer monitoring according to the sensor device management requirements based on multi-dimensional transformer monitoring; A test optimization module is used to test and optimize the sensor device identification model based on multi-dimensional transformer monitoring to determine the optimal sensor device identification model based on multi-dimensional transformer monitoring; An analysis and prediction module is used to analyze and predict the characteristic data of the sensor equipment based on multi-dimensional transformer monitoring, and determine the identification result of the sensor equipment based on multi-dimensional transformer monitoring; The intelligent management module is used to formulate a sensor equipment management plan based on multi-dimensional transformer monitoring and to perform intelligent management of the sensor equipment.

2. The sensor equipment management system based on multi-dimensional transformer monitoring according to claim 1 is characterized in that: The data acquisition module comprises: The temperature acquisition unit is used to monitor and collect the temperature of the transformer sensor equipment in the gas turbine generator set in real time and obtain the transformer monitoring temperature data; The pressure acquisition unit is used to monitor and collect the pressure of the transformer sensor equipment in the gas turbine generator set in real time and obtain the transformer monitoring pressure data; The current acquisition unit is used to monitor and collect the current conditions of the transformer sensor equipment in the gas turbine generator set in real time and obtain the transformer monitoring current data; The vibration collection unit is used to monitor and collect the vibration conditions of the transformer sensor equipment in the gas turbine generator set in real time and obtain the transformer monitoring vibration data; Among them, based on the transformer monitoring temperature data, pressure data, current data and vibration data, the real-time data of the sensor equipment based on multi-dimensional transformer monitoring is determined.

3. The sensor equipment management system based on multi-dimensional transformer monitoring according to claim 2 is characterized in that: The data processing module comprises: A data cleaning unit, used to clean the real-time data of the sensor equipment; Obtain real-time data from sensor equipment based on multi-dimensional transformer monitoring; Clean the real-time data of sensor equipment based on multi-dimensional transformer monitoring, including: Conduct consistency checks on real-time data from sensor equipment based on multi-dimensional transformer monitoring; Check whether the real-time data of the sensor equipment meets the requirements based on the reasonable value range and mutual relationship of each parameter in the real-time data of the sensor equipment based on multi-dimensional transformer monitoring; Remove inconsistent data that is beyond the normal range, logically unreasonable or contradictory in the real-time data of sensor equipment based on multi-dimensional transformer monitoring; Process invalid and missing values ​​of real-time data of sensor equipment based on multi-dimensional transformer monitoring; Remove invalid data and missing data that are of no value to sensor equipment management in real-time data of sensor equipment based on multi-dimensional transformer monitoring; Identify real-time sensor device data that is valuable for sensor device management.

4. The sensor equipment management system based on multi-dimensional transformer monitoring according to claim 3 is characterized in that: The data processing module also includes: A data conversion unit, used for converting the real-time data of the sensor device after cleaning; Obtain real-time data of sensor equipment that is valuable for sensor equipment management after cleaning; Convert real-time data of sensor equipment that is valuable for sensor equipment management; Eliminate the dimensional differences between real-time data of sensor devices that are valuable for sensor device management; Determine the real-time data of sensor equipment with data standardization; A feature extraction unit, used for extracting features from the converted real-time data of the sensor device; Acquire real-time data from sensor devices after conversion and data standardization; Extract features from real-time data of sensor equipment with data standardization; Extract features that reflect sensor device management; Determine the characteristic data of sensor equipment based on multi-dimensional transformer monitoring.

5. The sensor equipment management system based on multi-dimensional transformer monitoring according to claim 4 is characterized in that: The model training module includes: A data collection unit for collecting historical data of sensor equipment based on multi-dimensional transformer monitoring; According to the sensor equipment management requirements based on multi-dimensional transformer monitoring, historical data of sensor equipment based on multi-dimensional transformer monitoring is collected and reserved; A model building unit, used to build a sensor device identification model based on multi-dimensional transformer monitoring; Obtain historical data of sensor equipment based on multi-dimensional transformer monitoring; Divide the historical data of sensor equipment based on multi-dimensional transformer monitoring; Determine the training data set and the test data set; According to the sensor equipment management requirements based on multi-dimensional transformer monitoring, a neural network model framework suitable for sensor equipment anomaly identification is selected; Based on the training data set, the neural network model framework selected for sensor equipment anomaly recognition is trained to determine the sensor equipment recognition model based on multi-dimensional transformer monitoring.

6. The sensor equipment management system based on multi-dimensional transformer monitoring according to claim 5 is characterized in that: The test optimization module includes: A test and evaluation unit, used for testing and evaluating the sensor device recognition model; Obtain sensor equipment identification model based on multi-dimensional transformer monitoring; Based on the test data set, test and evaluate the sensor device recognition model; Determine the test evaluation results based on the sensor device identification model; An adjustment and optimization unit, used for adjusting and optimizing the recognition model of the sensor device; Obtain test evaluation results based on sensor device identification models; Mining and analyzing the test evaluation results based on the sensor equipment recognition model; Determine the adjustment and optimization plan based on the sensor equipment recognition model; According to the adjustment and optimization scheme based on the sensor device identification model, the parameters of the sensor device identification model are adjusted and optimized to determine the optimal sensor device identification model based on multi-dimensional transformer monitoring.

7. The sensor equipment management system based on multi-dimensional transformer monitoring according to claim 6 is characterized in that: The analysis and prediction module includes: A data extraction unit, used to extract characteristic data of sensor equipment based on multi-dimensional transformer monitoring; According to the sensor equipment management requirements based on multi-dimensional transformer monitoring, the characteristic data of the sensor equipment based on multi-dimensional transformer monitoring is extracted; An analysis and prediction unit, used to analyze and predict characteristic data of sensor equipment based on multi-dimensional transformer monitoring; Obtain the optimal sensor equipment identification model based on multi-dimensional transformer monitoring; According to the optimal sensor equipment identification model based on multi-dimensional transformer monitoring, the characteristic data of the sensor equipment based on multi-dimensional transformer monitoring is analyzed and predicted to identify abnormal behavior of the sensor equipment; Determine the sensor equipment identification results based on multi-dimensional transformer monitoring.

8. The sensor equipment management system based on multi-dimensional transformer monitoring according to claim 7 is characterized in that: The intelligent management module includes: Strategy execution unit, used to formulate sensor equipment management plan based on multi-dimensional transformer monitoring; Obtain sensor equipment identification results based on multi-dimensional transformer monitoring; Based on the sensor equipment identification results, the characteristic data of the sensor equipment based on multi-dimensional transformer monitoring is mined and analyzed; Determine a sensor equipment management solution based on multi-dimensional transformer monitoring; Intelligent management unit, used for intelligent management of sensor equipment; Obtain sensor equipment management solutions based on multi-dimensional transformer monitoring; According to the sensor equipment management solution based on multi-dimensional transformer monitoring, the sensor equipment based on multi-dimensional transformer monitoring is managed intelligently.

9. The sensor equipment management system based on multi-dimensional transformer monitoring according to claim 8 is characterized in that: The intelligent management module also includes: A visual display unit, used for visually displaying the sensor equipment management report; Obtain sensor equipment management solutions based on multi-dimensional transformer monitoring; Mining and analyzing sensor equipment management solutions based on multi-dimensional transformer monitoring; A sensor device management report is generated and displayed to the user in a visual form.

10. The sensor equipment management system based on multi-dimensional transformer monitoring according to claim 9 is characterized in that: To manage sensor devices intelligently, perform the following operations: Timely warnings are issued for abnormal behaviors of sensor equipment, and the warning information is transmitted to sensor equipment managers in real time. The causes of abnormal failures of sensor equipment are promptly found and locked, measures are taken to eliminate abnormal failures of sensor equipment, and intelligent guidance is given to sensor equipment managers to perform maintenance and management of sensor equipment.

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