Transformer energy consumption monitoring system

Abstract

The invention discloses a transformer energy consumption monitoring system, and relates to the technical field of transformer energy consumption monitoring, and the system comprises an energy consumption sensor module which collects the current, voltage and temperature physical parameters of a transformer in real time; the data acquisition module is used for acquiring and transmitting the acquired data; the data processing module is used for analyzing and processing the collected data; the cloud monitoring module is used for displaying the operation data and the energy consumption state of the transformer in real time; and the intelligent optimization module automatically adjusts the operation parameters of the transformer according to the energy efficiency evaluation data provided by the cloud platform, and optimizes the energy consumption. The transformer energy consumption monitoring system provided by the invention has efficient data acquisition, processing and analysis capabilities, can reduce energy consumption and improve equipment efficiency through real-time monitoring and intelligent optimization, has powerful fault early warning and remote regulation and control functions, can help an electric power company to save energy and reduce equipment faults, and also has the functions of energy saving and remote control. And the stability and reliability of the power system can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of transformer energy consumption monitoring, and specifically relates to a transformer energy consumption monitoring system. Background Art

[0002] With the continuous growth of power demand, transformers play an increasingly important role in the power system. As important equipment for power transmission and distribution, transformers must operate efficiently and stably to ensure the normal operation of the power system. However, during operation, transformers may encounter problems such as reduced efficiency, energy waste, and equipment failures. These problems not only affect the stability of the system but also may lead to high energy costs and maintenance expenses. Currently, the operation monitoring of transformers mostly relies on manual inspections or traditional monitoring systems. This method is not only inefficient but also difficult to detect potential problems in a timely manner, easily leading to the occurrence of equipment failures. Therefore, there is an urgent need for an intelligent transformer energy consumption monitoring system that can monitor the operating status of transformers in real time, automatically calculate energy efficiency indicators, promptly warn of faults and efficiency drops, and provide optimization solutions to reduce energy consumption and improve equipment performance.

[0003] In this context, the research and development of transformer energy consumption monitoring systems have emerged. By integrating technologies such as sensors, data acquisition, analysis and processing, and cloud monitoring, these systems can collect various operating parameters of transformers in real time, automatically calculate energy efficiency indicators, monitor the health status of equipment, and provide users with remote control, fault warning, and energy efficiency optimization suggestions. Such systems can not only help power companies save energy, reduce equipment failures, but also significantly reduce maintenance costs and improve the overall reliability of the power system. Summary of the Invention

[0004] To solve the above technical problems, a transformer energy consumption monitoring system is provided, and this technical solution solves the above problems.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] A transformer energy consumption monitoring system, comprising:

[0007] An energy consumption sensor module: used for real-time collection of physical parameters such as current, voltage, and temperature of the transformer;

[0008] A data acquisition module: The data acquisition module is connected to the data acquisition module by telecommunications. The data acquisition module is used for converting, storing the collected data, and transmitting it to the data processing module through a communication network;

[0009] A data processing module: The data processing module is electrically connected to the data acquisition module. The data processing module is used for analyzing and processing the collected data, generating an energy efficiency assessment report, and generating an alarm message according to a set threshold;

[0010] Cloud monitoring module: The cloud monitoring module is electrically connected to the data processing module. The cloud monitoring module is used to display the operation data and energy consumption status of the transformer in real time, and provide remote control and optimization suggestions according to the analysis results of the processing unit;

[0011] Intelligent optimization module: The intelligent optimization module is electrically connected to the cloud monitoring module. The intelligent optimization module is used to automatically adjust the operation parameters of the transformer according to the energy efficiency evaluation data provided by the cloud platform, and optimize the energy consumption.

[0012] Preferably, the energy consumption sensor module specifically includes:

[0013] Current sensor unit: It is used to monitor the load current of the transformer in real time;

[0014] Voltage sensing unit: It is used to monitor the voltage values at the input and output ends of the transformer. A capacitor and resistor voltage divider are used to accurately collect the voltage level of the transformer, and the voltage and current data are combined to obtain the power and power factor of the transformer;

[0015] Temperature sensor unit: It is used to measure the working temperature of the transformer in real time, including thermocouples and resistance temperature detectors;

[0016] Power factor sensor unit: It is used to monitor the power factor of the transformer to judge whether there are reactive power losses and energy efficiency problems in the transformer;

[0017] Power sensor unit: It is used to monitor the actual output power of the transformer in real time. Through the measured data of current, voltage and power factor, the active power and reactive power of the transformer are further obtained;

[0018] Frequency sensor unit: It is used to monitor the grid frequency of the transformer to judge whether the transformer is in a normal working state;

[0019] Electric energy metering sensor unit: It is used to accurately measure the energy consumption data of the transformer to judge the total energy efficiency of the transformer;

[0020] Insulation monitoring sensor unit: It is used to monitor the insulation condition inside the transformer, monitor the electrical performance of the insulation layer in real time, and detect insulation faults and losses;

[0021] Harmonic analysis sensor unit: It is used to monitor whether there are harmonics in the electric power output by the transformer.

[0022] Preferably, the data acquisition module specifically includes:

[0023] Signal Conversion Unit: Converts the analog signal obtained from the sensor into a digital signal using an analog-to-digital converter, eliminates noise signals using a filter, conditions the output signal of the sensor, and adjusts the level and isolation;

[0024] Data Storage Unit: Stores the data being collected and uses non-volatile memory to store the collected data for a long time;

[0025] Communication Interface Unit: Transfers data from the local acquisition module to the data processing module using a communication protocol;

[0026] Data Preprocessing Unit: Preprocesses the collected data, including data verification, formatting, and compression.

[0027] Preferably, the data processing module specifically includes:

[0028] Data Analysis and Energy Efficiency Calculation Unit: Calculates energy efficiency indicators based on the current, voltage, and temperature parameters of the transformer, analyzes the operation trend of the transformer, and identifies potential problems in long-term operation;

[0029] Abnormality Detection Unit: Analyzes the data through algorithms to detect whether there are problems such as equipment failures, abnormal fluctuations, and energy efficiency degradation;

[0030] Energy Efficiency Evaluation and Report Generation Unit: Scores the current operating efficiency of the transformer according to the set standards, generates an energy efficiency evaluation report based on the analysis results, and the content includes the current energy efficiency status, historical comparison, and recommended optimization measures;

[0031] Value Monitoring and Alarm Generation Unit: Sets alarm thresholds, monitors the deviation between the collected data and the thresholds in real time, and automatically generates alarm information and notifies relevant personnel and systems when the data exceeds the preset thresholds;

[0032] Data Storage and Management Unit: Stores the processed data, energy efficiency reports, and alarm records in a database and archives the historical data regularly;

[0033] User Interface and Remote Interaction Unit: Displays the energy efficiency reports, alarm information, and operation data to the user, transmits them through the cloud monitoring module, and allows the user to adjust device settings, set alarm thresholds, and optimize suggestions according to the energy efficiency reports and alarm information.

[0034] Preferably, the calculating energy efficiency indicators based on the current, voltage, and temperature parameters of the transformer, analyzing the operation trend of the transformer, and identifying potential problems in long-term operation specifically includes:

[0035] Calculates the instantaneous power of the transformer using current and voltage, and further calculates the power factor. The calculation formula is:

[0036]

[0037] Wherein, Pt is the instantaneous power, Vt is the instantaneous voltage, and It is the instantaneous current. is the phase angle between the current and the voltage, PF is the power factor, and P a is the active power, and p s is the apparent power.

[0038] Preferably, the algorithm for analyzing data to detect whether there are problems such as equipment failures, abnormal fluctuations, and energy efficiency degradation specifically includes:

[0039] Using statistical methods to detect outliers in the data, training a classification model using historical data and fault markers to identify potential faults, where the calculation formula is:

[0040]

[0041] Wherein, Y t is the observed value at time t, μ is the mean value, is the model parameter, and ∈ t is the white noise term;

[0042] Based on the calculation results, analyze the trends and seasonal variations of the time series data of current, voltage, and temperature, fit the model, predict future values, and determine whether there are abnormal fluctuations according to the prediction results.

[0043] Preferably, the cloud monitoring unit includes:

[0044] Cloud monitoring and display unit: Real-time display of the operation data of the transformer through charts and dashboards, including current, voltage, temperature, load, and power factor;

[0045] Report generation unit: Provide a trend analysis chart of historical data and automatically generate analysis reports, including energy efficiency analysis, fault diagnosis reports, and performance trends;

[0046] Alarm and notification unit: Set thresholds to trigger alarms and send alerts to operators in real time to notify the occurrence of faults and abnormal fluctuations;

[0047] Remote control and optimization unit: Integrate remote control functions in the cloud monitoring module to remotely adjust the transformer through the monitoring platform. Remote control includes direct commands and automated control;

[0048] Intelligent optimization suggestion unit: Based on the data analysis results and historical trends, the cloud monitoring module automatically generates optimization suggestions.

[0049] Preferably, the intelligent optimization module specifically includes:

[0050] Target Setting and Requirement Analysis Unit: Set goals for the optimization process according to the requirements input by the user. Based on the energy efficiency evaluation data provided by the cloud monitoring platform and the user requirements, set optimization goals, including improving the power factor, reducing losses, and balancing the load;

[0051] Optimization Algorithm and Decision Support Unit: Optimize energy efficiency and load distribution based on the linear programming algorithm;

[0052] Fuzzy Control Unit: According to the actual operation data of the transformer, use fuzzy logic control to adjust the operation parameters in real time. Based on the historical operation data and equipment characteristics, train the optimization algorithm;

[0053] Operation Parameter Adjustment Unit: After the optimization decision is made, the intelligent optimization module automatically adjusts the operation parameters of the transformer;

[0054] Closed-loop Feedback Control Unit: Monitor the effect after adjustment through sensors and the cloud monitoring module;

[0055] Energy-saving Solution Generation and Implementation Unit: Provide the user with an energy-saving optimization solution according to the analysis results, including proposing energy-saving measures such as adjusting the operation time period, load distribution, and equipment maintenance.

[0056] Preferably, the optimization of energy efficiency and load distribution based on the linear programming algorithm specifically includes:

[0057] Among them, the optimization algorithm formula is:

[0058]

[0059] In the formula, is the objective function, c i is the coefficient of the i-th term, x i is the decision variable of the i-th term, p i is the power of the i-th term;

[0060] Minimize the total cost based on the calculation results.

[0061] Preferably, the real-time adjustment of the operation parameters by using fuzzy logic control according to the actual operation data of the transformer and the training of the optimization algorithm based on the historical operation data and equipment characteristics specifically include:

[0062] Convert the fuzzy output into actual control parameters, and train the fuzzy logic controller through historical operation data to optimize the control strategy. Among them, the conversion formula for converting the fuzzy output into actual control parameters is:

[0063]

[0064] In the formula, O r This is the true output value obtained by solving, μE i is the i-th element Ei Subordination of, Q i is the i-th element E i The corresponding output value, where n is the total number of elements, E i is the degree of the fuzzy set.

[0065] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0066] The transformer energy consumption monitoring system proposed by the present invention has efficient data collection, processing and analysis capabilities. It can reduce energy consumption and improve equipment efficiency through real-time monitoring and intelligent optimization. At the same time, it has powerful fault warning and remote control functions. This system can not only help power companies save energy and reduce equipment failures, but also improve the stability and reliability of the power system. It is an essential and important part of modern smart grids. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 is the system framework diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0068] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and those skilled in the art can think of other obvious variations.

[0069] Referring to Figure 1 as shown, a transformer energy consumption monitoring system includes:

[0070] Energy consumption sensor module:

[0071] Current sensor unit: for real-time monitoring of the load current of the transformer;

[0072] Voltage sensing unit: for monitoring the voltage values at the input and output ends of the transformer. Capacitor and resistor voltage dividers are used to accurately collect the voltage level of the transformer, and by combining voltage and current data, the power and power factor of the transformer are obtained;

[0073] Temperature sensor unit: for real-time measurement of the operating temperature of the transformer, including thermocouples and resistance temperature detectors;

[0074] Power factor sensor unit: for monitoring the power factor of the transformer to determine whether there are reactive power losses and energy efficiency problems in the transformer;

[0075] Power sensor unit: for real-time monitoring of the actual output power of the transformer. By measuring the current, voltage and power factor data, the active power and reactive power of the transformer are further obtained;

[0076] Frequency sensor unit: used to monitor the grid frequency of the transformer and determine whether the transformer is in a normal operating state;

[0077] Electric energy metering sensor unit: used to accurately measure the energy consumption data of the transformer and determine the total energy efficiency of the transformer;

[0078] Insulation monitoring sensor unit: used to monitor the insulation condition inside the transformer, real-time monitor the electrical performance of the insulation layer, and detect insulation faults and losses;

[0079] Harmonic analysis sensor unit: used to monitor whether there are harmonics in the power output by the transformer.

[0080] Data acquisition module:

[0081] Signal conversion unit: uses an analog-to-digital converter to convert the analog signals obtained from the sensors into digital signals, uses a filter to eliminate noise signals, conditions the output signals of the sensors, and adjusts the level and isolation;

[0082] Data storage unit: stores the data being collected and uses non-volatile memory to store the collected data for a long time;

[0083] Communication interface unit: uses a communication protocol to transfer data from the local acquisition module to the data processing module;

[0084] Data preprocessing unit: preprocesses the collected data, including data verification, formatting, and compression.

[0085] Data processing module:

[0086] Data analysis and energy efficiency calculation unit: calculates energy efficiency indicators, analyzes the operation trend of the transformer, and identifies potential problems in long-term operation based on the current, voltage, and temperature parameters of the transformer;

[0087] Calculates the instantaneous power of the transformer using current and voltage, and further calculates the power factor. The calculation formula is as follows:

[0088]

[0089] Where Pt is the instantaneous power, Vt is the instantaneous voltage, It is the instantaneous current, is the phase angle between the current and the voltage, PF is the power factor, P a is the active power, p s is the apparent power;

[0090] Abnormal detection unit: analyzes the data through algorithms to detect whether there are problems such as equipment failures, abnormal fluctuations, and energy efficiency degradation;

[0091] Use statistical methods to detect outliers in the data, train a classification model using historical data and fault markers to identify potential faults, where the calculation formula is:

[0092]

[0093] In the formula, Y t is the observed value at time t, μ is the mean value, is the model parameter, ∈ t is the white noise term;

[0094] Based on the calculation results, analyze the trends and seasonal variations of the time series data of current, voltage and temperature, fit a model, predict future values, and judge whether there are abnormal fluctuations according to the prediction results;

[0095] Energy efficiency evaluation and report generation unit: Score the current operating efficiency of the transformer according to the set standards, and generate an energy efficiency evaluation report based on the analysis results, including the current energy efficiency status, historical comparison, and recommended optimization measures;

[0096] Value monitoring and alarm generation unit: Set the alarm threshold, monitor the deviation between the collected data and the threshold in real time, and automatically generate alarm information and notify relevant personnel and systems when the data exceeds the preset threshold;

[0097] Data storage and management unit: Store the processed data, energy efficiency reports and alarm records in the database, and archive the historical data regularly;

[0098] User interface and remote interaction unit: Display the energy efficiency report, alarm information and operation data to the user, transmit through the cloud monitoring module, and allow the user to adjust the device settings, set the alarm threshold and optimization suggestions according to the energy efficiency report and alarm information.

[0099] Cloud monitoring module:

[0100] Cloud monitoring and display unit: Real-time display the operation data of the transformer in the form of charts and dashboards, including current, voltage, temperature, load and power factor;

[0101] Report generation unit: Provide a trend analysis chart of historical data and automatically generate an analysis report, including energy efficiency analysis, fault diagnosis report and performance trend;

[0102] Alarm and notification unit: Set the threshold to trigger an alarm, and send an alarm to the operator in real time to notify the occurrence of faults and abnormal fluctuations;

[0103] Remote control and optimization unit: Integrate the remote control function in the cloud monitoring module, and perform remote adjustment of the transformer through the monitoring platform. The remote control includes direct commands and automatic control;

[0104] Intelligent Optimization Suggestion Unit: Based on the data analysis results and historical trends, the cloud monitoring module automatically generates optimization suggestions.

[0105] Intelligent Optimization Module:

[0106] Goal Setting and Requirement Analysis Unit: Set goals for the optimization process according to the requirements input by the user. Based on the energy efficiency evaluation data provided by the cloud monitoring platform and the user requirements, set optimization goals, including improving the power factor, reducing losses, and balancing the load.

[0107] Optimization Algorithm and Decision Support Unit: Optimize energy efficiency and load distribution based on the linear programming algorithm.

[0108] Among them, the optimization algorithm formula is:

[0109]

[0110] In the formula, is the objective function, c i is the coefficient of the i-th item, x i is the decision variable of the i-th item, p i is the power of the i-th item;

[0111] Minimize the total cost based on the calculation results;

[0112] Fuzzy Control Unit: According to the actual operation data of the transformer, use fuzzy logic control to adjust the operation parameters in real time. Based on the historical operation data and equipment characteristics, train the optimization algorithm.

[0113] Convert the fuzzy output into actual control parameters, and train the fuzzy logic controller through historical operation data to optimize the control strategy. Among them, the conversion formula for converting the fuzzy output into actual control parameters is:

[0114]

[0115] In the formula, O r This is the true output value obtained by solving, μE i is the membership of the i-th element E i of, Q i is the output value corresponding to the i-th element E i , n is the total number of elements, E i is the degree of the fuzzy set.

[0116] Operation Parameter Adjustment Unit: After the optimization decision is made, the intelligent optimization module automatically adjusts the operation parameters of the transformer.

[0117] Closed-loop Feedback Control Unit: Monitor the effect after adjustment through sensors and the cloud monitoring module.

[0118] Energy-saving solution generation and implementation unit: Provide users with energy-saving optimization solutions based on the analysis results, including proposing energy-saving measures such as adjusting the operation time period, load distribution, and equipment maintenance.

[0119] The usage process of the present invention is as follows:

[0120] Collect the physical parameters of current, voltage, and temperature of the transformer in real time;

[0121] Convert, store, and transmit the collected data to the data processing module through the communication network;

[0122] Analyze and process the collected data, generate an energy efficiency assessment report, and generate alarm information according to the set threshold;

[0123] Display the operation data and energy consumption status of the transformer in real time, and provide remote control and optimization suggestions according to the analysis results of the processing unit;

[0124] According to the energy efficiency assessment data provided by the cloud platform, automatically adjust the operation parameters of the transformer according to user needs to optimize energy consumption.

[0125] In summary, the advantages of the present invention are as follows:

[0126] This system collects multiple physical parameters such as current, voltage, temperature, and power factor of the transformer through the energy consumption sensor module, and grasps the operation status of the transformer in real time. The data collection module transmits the collected data to the data processing module in a timely manner through processes such as signal conversion, storage, and transmission, realizing accurate and efficient data collection;

[0127] The data processing module can calculate energy efficiency indicators based on parameters such as current, voltage, and temperature of the transformer through advanced data analysis and energy efficiency calculation algorithms, identify potential problems during long-term operation, and generate detailed energy efficiency assessment reports to help users understand the current energy efficiency status and historical trends of the equipment;

[0128] The system is equipped with an abnormal detection and alarm generation module, which can analyze data through algorithms, automatically identify problems such as equipment failures, abnormal fluctuations, or energy efficiency degradation, and automatically generate alarm information when the data exceeds the set threshold, notifying relevant personnel for processing in a timely manner to avoid greater impacts on the power system caused by failures;

[0129] The cloud monitoring module enables users to view the operation data, energy consumption status, and historical trend analysis reports of the transformer in real time through charts, dashboards, etc. Users can not only obtain real-time data but also remotely adjust through the cloud platform, automatically optimize the operation parameters of the transformer, and improve energy efficiency and the long-term stability of the equipment;

[0130] The intelligent optimization module automatically generates optimization goals by combining historical data, user requirements, and energy efficiency evaluation results, and adjusts the operating parameters of the transformer through optimization algorithms such as linear programming and fuzzy control. The system can also propose energy-saving optimization solutions, such as adjusting the operating time period and balancing the load distribution, thereby reducing energy consumption and improving energy efficiency;

[0131] Through the efficient data storage and management module, the system can long-term store the collected data, energy efficiency reports, and alarm records, and regularly archive the historical data, providing important basis for subsequent equipment maintenance, fault analysis, and optimization decision-making;

[0132] Through continuous energy efficiency monitoring and real-time adjustment, the system can detect and take measures in a timely manner when potential problems occur in the transformer, thereby reducing the equipment failure rate, extending the service life of the transformer, and enhancing the reliability of the entire power system;

[0133] Through the decision support and fuzzy logic control of the intelligent optimization module, the system can automatically adjust the operating parameters of the transformer in different working environments, reduce manual intervention, improve the operating efficiency, and achieve true automation and intelligent management.

[0134] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A transformer energy consumption monitoring system, characterized in that: include: Energy consumption sensor module: used to collect the current, voltage and temperature physical parameters of the transformer in real time; Data acquisition module: The data acquisition module is connected to the data acquisition module by telecommunication, and the data acquisition module is used to convert and store the collected data and transmit it to the data processing module through the communication network; Data processing module: The data processing module is electrically connected to the data acquisition module, and is used to analyze and process the collected data, generate an energy efficiency evaluation report, and generate alarm information according to a set threshold; Cloud monitoring module: The cloud monitoring module is electrically connected to the data processing module. The cloud monitoring module is used to display the operation data and energy consumption status of the transformer in real time, and provide remote control and optimization suggestions based on the analysis results of the processing unit; Intelligent optimization module: The intelligent optimization module is electrically connected to the cloud monitoring module. The intelligent optimization module is used to automatically adjust the operating parameters of the transformer according to user needs and optimize energy consumption based on the energy efficiency evaluation data provided by the cloud platform.

2. A transformer energy consumption monitoring system according to claim 1, characterized in that: The energy consumption sensor module specifically includes: Current sensor unit: used to monitor the load current of the transformer in real time; Voltage sensing unit: used to monitor the voltage value at the input and output of the transformer, using capacitors and resistors to accurately collect the voltage level of the transformer, combining the voltage and current data to obtain the power and power factor of the transformer; Temperature sensor unit: used to measure the operating temperature of the transformer in real time, including thermocouple and resistance temperature detector; Power factor sensor unit: used to monitor the power factor of the transformer and determine whether the transformer has reactive power loss and energy efficiency problems; Power sensor unit: used to monitor the actual output power of the transformer in real time, and further obtain the active power and reactive power of the transformer through the measurement data of current, voltage and power factor; Frequency sensor unit: used to monitor the grid frequency of the transformer and determine whether the transformer is in normal working condition; Electric energy metering sensor unit: used to accurately measure the energy consumption data of the transformer and determine the overall energy efficiency of the transformer; Insulation monitoring sensor unit: used to monitor the insulation condition inside the transformer, monitor the electrical performance of the insulation layer in real time, and detect insulation faults and losses; Harmonic analysis sensor unit: used to monitor the presence of harmonics in the power output by the transformer.

3. A transformer energy consumption monitoring system according to claim 2, characterized in that: The data acquisition module specifically includes: Signal conversion unit: Use analog-to-digital converter to convert analog signals obtained from sensors into digital signals, use filters to eliminate noise signals, condition the output signals of sensors, and adjust the level and isolation; Data storage unit: stores the data being collected and uses non-volatile memory to save the collected data for a long time; Communication interface unit: uses communication protocol to transmit data from local acquisition module to data processing module; Data preprocessing unit: preprocess the collected data, including data verification, formatting and compression.

4. A transformer energy consumption monitoring system according to claim 3, characterized in that: The data processing module specifically includes: Data analysis and energy efficiency calculation unit: Based on the current, voltage and temperature parameters of the transformer, calculate the energy efficiency index, analyze the operation trend of the transformer, and identify potential problems in long-term operation; Anomaly detection unit: Analyzes data through algorithms to detect whether there are equipment failures, abnormal fluctuations, and energy efficiency declines; Energy efficiency evaluation and report generation unit: Score the current operating efficiency of the transformer according to the set standards, and generate an energy efficiency evaluation report based on the analysis results, including the current energy efficiency status, historical comparison and recommended optimization measures; Value monitoring and alarm generation unit: set alarm thresholds, monitor the deviation between collected data and thresholds in real time, and automatically generate alarm information and notify relevant personnel and systems when data exceeds the preset thresholds; Data storage and management unit: store processed data, energy efficiency reports and alarm records in the database, and archive historical data regularly; User interface and remote interaction unit: displays energy efficiency reports, alarm information and operating data to users.

5. A transformer energy consumption monitoring system according to claim 4, characterized in that: The calculation of energy efficiency index based on the current, voltage and temperature parameters of the transformer, analysis of the operation trend of the transformer, and identification of potential problems in long-term operation specifically include: The instantaneous power of the transformer is calculated using the current and voltage, and the power factor is further calculated using the following formula: Where P(t) is the instantaneous power, V(t) is the instantaneous voltage, and I(t) is the instantaneous current. is the phase angle between current and voltage, PF is the power factor, P a is the active power, p s is the apparent power.

6. A transformer energy consumption monitoring system according to claim 5, characterized in that: The problem of analyzing data by algorithm to detect whether there is equipment failure, abnormal fluctuation and energy efficiency decline specifically includes: Use statistical methods to detect outliers in the data, and use historical data and fault markers to train a classification model to identify potential faults. The calculation formula is: Where Y t is the observed value at time t, μ is the mean, is the model parameter, ∈ t is the white noise term; Based on the calculation results, the trend and seasonal changes of the time series data of current, voltage and temperature are analyzed, the model is fitted, the future values ​​are predicted, and whether there are abnormal fluctuations is determined based on the prediction results.

7. A transformer energy consumption monitoring system according to claim 6, characterized in that: The cloud monitoring unit includes: Cloud monitoring and display unit: displays transformer operation data in real time through charts and dashboards; Report generation unit: provides trend analysis charts of historical data and automatically generates analysis reports; Alarm and notification unit: set thresholds to trigger alarms, send alarms to operators in real time, and notify operators of the occurrence of faults and abnormal fluctuations; Remote control and optimization unit: Integrate remote control function in the cloud monitoring module to remotely adjust the transformer through the monitoring platform. Remote control includes direct command and automatic control. Intelligent optimization suggestion unit: Based on data analysis results and historical trends, the cloud monitoring module automatically generates optimization suggestions.

8. A transformer energy consumption monitoring system according to claim 7, characterized in that: The intelligent optimization module specifically includes: Goal Setting and Requirements Analysis Unit: Set goals for the optimization process based on user input requirements; Optimization algorithm and decision support unit: Optimize energy efficiency and load distribution based on linear programming algorithm; Fuzzy control unit: According to the actual operation data of the transformer, fuzzy logic control is used to adjust the operating parameters in real time, and the optimization algorithm is trained based on historical operation data and equipment characteristics; Operation parameter adjustment unit: After the optimization decision is made, the intelligent optimization module automatically adjusts the transformer's operating parameters; Closed-loop feedback control unit: monitors the effect of adjustments through sensors and cloud monitoring modules; Energy-saving plan generation and implementation unit: Provide users with energy-saving optimization plans based on analysis results, including energy-saving measures such as adjusting operating time periods, load distribution, and equipment maintenance.

9. A transformer energy consumption monitoring system according to claim 8, characterized in that: The optimization of energy efficiency and load distribution based on linear programming algorithm is described in detail. include: The optimization algorithm formula is: Where is the objective function, c i is the coefficient of the ith term, x i is the decision variable of the ith item, p i is the power of the ith term; Minimize the total cost based on the calculated results.

10. A transformer energy consumption monitoring system according to claim 9, characterized in that: According to the actual operation data of the transformer, the operation parameters are adjusted in real time by using fuzzy logic control. Based on the historical operation data and equipment characteristics, the training optimization algorithm specifically includes: The fuzzy output is converted into actual control parameters, and the fuzzy logic controller is trained through historical operation data to optimize the control strategy. The conversion formula for converting the fuzzy output into actual control parameters is: In the formula, O r This is the actual output value obtained, μ(E i ) is the i-th element E i Affiliation, Q i is the i-th element E i The corresponding output value, n is the total number of elements, E i is the degree of the fuzzy set.

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