Intelligent monitoring system and device for box transformer substation

Abstract

The invention relates to the technical field of intelligent monitoring, in particular to an intelligent monitoring system and device for a box transformer substation, and the system comprises a data collection module which collects the initial sensing data in the box transformer substation in real time, and the initial sensing data comprises electrical parameters and environmental parameters; the communication network and data processing module cleans the initial sensing data and transmits the initial sensing data to a data terminal in real time to obtain terminal cleaning data; the performance temperature power analysis module analyzes the insulation performance and the mapping relation between the temperature and the output power to obtain an insulation temperature formula; the control module judges whether the output power exceeds a threshold value or not, if yes, the equivalent resistance of the optimal insulation performance and the optimal temperature is calculated, and the optimal insulation performance and the optimal temperature are calculated according to the equivalent resistance of the optimal insulation performance and the optimal temperature. By analyzing and optimizing the insulation performance and the temperature, unnecessary energy waste is reduced, the energy utilization efficiency is improved, and potential fault hidden dangers are found and processed in time.

Description

Technical Field

[0001] The present invention relates to the field of intelligent monitoring technology, and in particular to an intelligent monitoring system for a box-type transformer and an intelligent monitoring system device for a box-type transformer. Background Art

[0002] With the continuous development of smart grid, higher requirements are put forward for the monitoring and management of box-type substations. Smart grid emphasizes the informatization, automation and intelligence of power system to achieve optimal allocation and efficient utilization of power resources. In this context, box-type substation monitoring output power has become an indispensable part of smart grid.

[0003] Under the continuous influence of high temperature environment, the insulation material of the box transformer will gradually lose its original insulation performance, resulting in a decline in electrical performance, which in turn affects the power output of the transformer. The increase in temperature will increase the resistance of the transformer winding, increase the current loss, and further reduce the output power of the transformer. As an important part of the power system, the failure or performance degradation of the box transformer may affect the stability of the entire power grid. In extreme cases, it may cause the collapse of the power grid or a large-scale power outage.

[0004] As the output power decreases, the box-type transformer needs to consume more energy to maintain the required output power, resulting in energy waste. Insulation aging and temperature rise may also cause the performance of other electrical equipment to decline, further increasing energy consumption. The increased failure rate caused by insulation aging and temperature rise requires more operation and maintenance personnel and equipment for repair and replacement, which will increase operation and maintenance costs. Summary of the invention

[0005] The invention provides an intelligent monitoring system for a box transformer, which is used to solve the defects of box transformer output power reduction and energy waste in the prior art.

[0006] According to the present invention, an intelligent monitoring system for a box-type transformer is provided, which is used to detect the box-type transformer, and includes: The data acquisition module is used to collect the initial perception data inside the box-type transformer in real time. The initial perception data includes electrical parameters and environmental parameters.

[0007] The communication network and data processing module is used to clean the initial perception data and transmit it to the data terminal in real time to obtain terminal cleaned data.

[0008] The performance temperature power analysis module is used to analyze the mapping relationship between insulation performance, temperature and output power, and obtain the insulation temperature formula.

[0009] The control module is used to determine whether the output power exceeds a preset threshold range, and if so, calculate the optimal insulation performance equivalent resistance and the optimal temperature equivalent resistance, and calculate the optimal insulation performance and the optimal temperature based on the equivalent resistance of the optimal insulation performance and the equivalent resistance of the optimal temperature.

[0010] According to an intelligent monitoring system for a box-type transformer provided by the present invention, the data acquisition module includes: an electrical parameter acquisition unit and an environmental parameter acquisition unit.

[0011] The electrical parameter acquisition unit is used to collect the voltage, current, power and power factor inside the box-type transformer in real time.

[0012] The environmental parameter collection unit is used to collect the temperature, humidity and water level inside the box transformer.

[0013] According to an intelligent monitoring system for a box-type transformer provided by the present invention, the communication network and data processing module include: an edge computing gateway unit, a data processing unit, and a data processing unit.

[0014] The edge computing gateway unit is used to perform edge computing on the initial perception data to obtain gateway data.

[0015] The data processing unit is used to remove abnormal data generated by interference factors in the gateway data, convert the gateway data into a unified format, classify the gateway data according to electrical parameters and environmental parameters, and obtain terminal cleaning data.

[0016] According to an intelligent monitoring system for a box-type transformer provided by the present invention, the analysis process of the performance, temperature and power analysis module includes: Calculate the insulation performance equivalent resistance based on the performance, thickness and coverage area of ​​the insulation material.

[0017] Calculate the temperature equivalent resistance based on the difference between the current temperature and the reference temperature.

[0018] The total equivalent resistance is calculated according to the temperature equivalent resistance and the insulation performance equivalent resistance.

[0019] Substituting the total equivalent resistance into the output power formula, the insulation temperature formula is obtained.

[0020] According to the present invention, an intelligent monitoring system for a box transformer is provided, including: an insulation temperature formula is expressed as:

[0021] Where P out is the output power, U is the input voltage, R eq is the temperature equivalent resistance, R load is the load resistance, k is a constant, R ins It is the insulation performance equivalent resistance.

[0022] According to the present invention, an intelligent monitoring system for a box-type transformer includes: a process in which a control module calculates optimal insulation performance and optimal temperature includes: The optimal output power is set according to the line voltage, line current and reactive power compensation power factor.

[0023] Substitute the relationship formula between optimal output power, insulation performance and temperature into the insulation temperature formula to calculate the optimal insulation performance equivalent resistance and the optimal temperature equivalent resistance.

[0024] The optimal insulation performance equivalent resistance and the optimal temperature equivalent resistance are substituted into the insulation performance formula and the temperature formula respectively to calculate the optimal insulation performance and the optimal temperature.

[0025] According to the present invention, an intelligent monitoring system for a box transformer is provided, including: the relationship between the insulation performance equivalent resistance and the temperature equivalent resistance is expressed as:

[0026] In the formula, a is the temperature coefficient of resistance, R0 is the resistance value at the reference temperature T0, the thickness of the insulating material is d, the area covered by the insulating material is A, and the equivalent resistance of the insulation performance at the temperature θ1 is R ins1 , when the temperature is θ2, the insulation performance equivalent resistance is R ins2 .

[0027] According to the present invention, an intelligent monitoring system for a box transformer is provided, including: calculating the optimal insulation performance according to the equivalent resistance of the optimal insulation performance, and the formula is expressed as:

[0028] Where H is the performance of the insulating material, d is the thickness of the insulating material, A is the area covered by the insulating material, and R ins It is the insulation performance equivalent resistance.

[0029] According to the present invention, an intelligent monitoring system for a box transformer is provided, comprising: a formula for calculating an optimal temperature according to an optimal temperature equivalent resistance is expressed as follows:

[0030] In the formula, R eq is the equivalent resistance value at temperature T, R0 is the resistance value at reference temperature T0, and a is the temperature coefficient of resistance.

[0031] On the other hand, the present invention also provides an intelligent monitoring device for a box-type transformer, an intelligent monitoring device for a box-type transformer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein each functional module in the intelligent monitoring device for a box-type transformer is deployed in the manner of an intelligent monitoring system for a box-type transformer as described above.

[0032] The intelligent monitoring system for box-type transformers provided by the present invention solves the problems of output power decline and energy waste. By analyzing the insulation performance, potential insulation defects and aging phenomena are discovered in time, so as to take preventive measures to avoid equipment damage and power outages caused by insulation failures. Excessive temperature will accelerate the aging of insulation materials, reduce insulation strength, and increase the risk of partial discharge and short circuit. By monitoring the temperature, abnormal temperature conditions can be discovered and handled in time to prevent the occurrence of faults.

[0033] 1. Changes in insulation performance and temperature will directly affect the output power of the box transformer. By real-time monitoring and analysis of these data, the working state of the box transformer can be adjusted in time to ensure that its output power remains at the optimal level to meet the load requirements of the power system. Deterioration of insulation performance will lead to increased leakage and loss of electric energy, while excessive temperature will increase the resistance of the transformer winding, increase current loss and heat loss. By analyzing and optimizing insulation performance and temperature, these unnecessary energy wastes can be reduced and energy utilization efficiency can be improved. Insulation materials and other components inside the transformer will accelerate aging under high temperature and harsh environment, resulting in a shortened equipment life. By analyzing and controlling the temperature, the aging rate of these components can be slowed down and the service life of the equipment can be extended. By real-time monitoring of insulation performance and temperature, potential fault hazards can be discovered and handled in time, thereby reducing the number of equipment maintenance and downtime, and improving equipment reliability and availability. Deterioration of insulation performance and excessive temperature may cause electrical equipment to have short circuits, discharges and other faults, and in severe cases even cause safety accidents such as fires or explosions. By analyzing and controlling these factors, safety hazards can be discovered and eliminated in time to prevent the occurrence of safety accidents. As an important part of the power system, the operating status of the box transformer directly affects the stability of the entire system. By optimizing insulation performance and temperature control, the operating stability of the box-type transformer can be improved, thereby improving the stability of the entire power system.

[0034] 2. Through mathematical modeling, the impact of multiple factors such as insulation performance and temperature on the output power of the box-type transformer is comprehensively considered. The model can make a more accurate prediction of the output power of the box-type transformer based on historical data and real-time monitoring data. This prediction capability helps power system dispatchers to reasonably arrange power generation plans and improve the overall operating efficiency of the power system.

[0035] 3. Remote operation prevents personnel from directly contacting high-voltage electrical equipment, thereby reducing safety risks such as electric shock and short circuit. At the same time, remote operation also realizes real-time monitoring and early warning functions, timely discovering and handling potential safety hazards. Remote operation quickly adjusts the output power according to actual needs, realizing flexible scheduling and load management. This helps to optimize the allocation of power resources and improve energy utilization efficiency. Remote operation reduces the time and cost of on-site operation of personnel, while reducing the frequency and cost of equipment maintenance and overhaul. In addition, remote operation also realizes automated and intelligent management, further improving operation and maintenance efficiency and management level. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0037] Figure 1 It is a module diagram of an intelligent monitoring system for a box-type transformer provided in an embodiment of the present invention.

[0038] Figure 2 The present invention provides a flow chart of an intelligent monitoring system for a box-type transformer. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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.

[0040] like Figure 1-Figure 2 As shown, an intelligent monitoring system for a box-type transformer provided by an embodiment of the present invention includes: a data acquisition module, a communication network and data processing module, a performance temperature and power analysis module and a control module.

[0041] The data acquisition module is used to collect the initial perception data inside the box-type transformer in real time. The initial perception data includes electrical parameters and environmental parameters. The data acquisition module includes an electrical parameter acquisition unit, an environmental parameter acquisition unit and a partial discharge monitoring unit.

[0042] The electrical parameter acquisition unit is used to collect electrical parameters such as voltage, current, power, and power factor inside the box-type transformer in real time. Data is obtained through devices such as voltage transformers and current transformers. Voltage transformers convert high voltages into low voltages for safe and accurate measurements. Voltage transformers usually have high accuracy and stability, which can ensure that the collected voltage data is accurate. Current transformers convert large currents into small currents for easy measurement and protection. Current transformers also have high accuracy and stability, and can reflect the current conditions inside the box-type transformer in real time. By monitoring whether the current is overloaded, possible short circuits can be warned, and accurate acquisition and transmission of electrical parameters can be achieved through high-precision sensors and measuring equipment.

[0043] The environmental parameter acquisition unit is responsible for collecting environmental information such as temperature, humidity, and water level inside the box transformer. The temperature sensor senses the temperature inside the box transformer in real time, can accurately measure the temperature inside the box transformer, and transmit the data to the monitoring system in real time to prevent damage to equipment such as transformers due to overheating. The humidity sensor can detect humidity changes to prevent electrical equipment from being damp due to excessive humidity and causing failures. The water level sensor monitors whether there is water accumulation in the box transformer, and realizes real-time monitoring and early warning of environmental parameters. Through real-time monitoring and early warning functions, potential safety hazards can be discovered and handled in a timely manner, reducing equipment failure rates and accident risks. By maintaining suitable environmental conditions inside the box transformer, the service life of electrical equipment can be extended and maintenance costs can be reduced.

[0044] The partial discharge monitoring unit monitors the partial discharge of the transformer in real time through partial discharge sensors and collectors. The collected data is transmitted to the data terminal for analyzing the insulation status of the transformer and predicting potential faults.

[0045] Partial discharge is caused by insulation aging, damage or defects and environmental factors. Partial discharge not only leads to a decline in the insulation performance of the equipment, but may also cause equipment failure and even casualties. Monitoring partial discharge of box-type transformer equipment, timely discovering potential fault points and taking corresponding maintenance measures are of great significance to ensuring the normal operation of equipment and personnel safety.

[0046] The communication network and data processing module is used to clean the initial perception data and transmit it to the data terminal in real time to obtain terminal clean data. The communication network and data processing module includes a communication network unit, an edge computing gateway unit and a data processing unit.

[0047] The communication network unit uses LoRa devices to transmit the initial perception data. LoRa technology converts the original data signal into a series of broadband, low-power signals through a series of spread spectrum technologies. These signals can propagate in noise and obtain spread spectrum gain, thereby enhancing the signal's anti-interference ability and transmission distance. Spread spectrum communication is a technology that uses a spectrum that is much wider than the signal bandwidth to transmit information. It modulates the information data to be transmitted through pseudo-random coding, thereby expanding its spectrum before transmitting it. At the receiving end, the same coding is used for demodulation and correlation processing to restore the original information data and improve the signal's anti-interference ability and transmission distance. The unique modulation method and optimized communication protocol of LoRa devices have extremely low power consumption in standby mode. The low power consumption characteristics enable the LoRa communication network to operate for a long time without frequent battery replacement or charging, thereby reducing maintenance costs.

[0048] The edge computing gateway unit is used to perform preliminary data processing and analysis to obtain gateway data. The gateway has powerful data processing capabilities and multiple communication interfaces to achieve operations such as data format conversion, compression, and encryption, and upload the processed data to the data terminal to obtain gateway data.

[0049] The data processing unit is used to further process and analyze the gateway data and remove abnormal data generated by interference and other factors during the data collection process. During the data collection process, abnormal data may be generated due to various interference factors. The data processing unit can identify and remove these abnormal data to ensure the accuracy of subsequent analysis. The identification of abnormal data is usually based on statistical methods to convert data in different formats into a unified format for subsequent analysis, and classify the data according to categories such as electrical parameters and environmental parameters. Data processing includes operations such as data cleaning, format conversion, and data fusion to ensure the accuracy and integrity of the data. Data cleaning performs exploratory analysis on the collected data to understand the distribution, characteristics, and quality of the data. By comparing the key fields of the data, duplicate records are found and deleted or merged. For null values ​​or missing data in the data set, strategies such as deletion, mean filling, median filling, mode filling, and interpolation are used. Through data verification, logical judgment and other methods, the wrong values ​​in the data are corrected, such as incorrect date format and values ​​outside the reasonable range. Convert the data into a unified format to improve the standardization and comparability of the data.

[0050] The data storage and management unit is used to store the processed data in the database and provide data retrieval, query and management functions. The database adopts a relational database or a non-relational database, and the appropriate storage method is selected according to actual needs.

[0051] The performance temperature power analysis module is used to analyze the insulation performance and the mapping relationship between temperature and output power to obtain the insulation formula. The analysis process includes: Analyze the impact of temperature and insulation performance on the output power of the box-type transformer, and calculate the insulation temperature formula based on the insulation performance equivalent resistance and temperature equivalent resistance.

[0052] The insulation temperature formula is expressed as:

[0053] Where P out is the output power, U is the input voltage, R eq is the temperature equivalent resistance, R load is the load resistance and k is a constant that depends on the design and material of the transformer.

[0054] First, the output power range is set according to the line voltage and line current. The output power range formula is expressed as:

[0055] P is the rated output power of the transformer, U is the line voltage, I is the line current, and cosφ is the reactive compensation power factor.

[0056] Among them, the power factor formula of the reactive power compensation device is expressed as:

[0057] In the formula, is the active power, Q is the reactive power, and Qc is the reactive power provided by the compensation device.

[0058] Secondly, the relationship between insulation performance and temperature is analyzed, and the formula is expressed as:

[0059] Wherein, the insulation performance is H2 when the temperature is θ1, and the insulation performance is H2 when the temperature is θ2.

[0060] Substituting the insulation performance equivalent resistance and temperature equivalent resistance into the insulation performance and temperature influence relationship formula, the insulation temperature equivalent formula can be obtained as follows:

[0061] In the formula, a is the temperature coefficient of resistance, R0 is the resistance value at the reference temperature T0, the thickness of the insulating material is d, the area covered by the insulating material is A, and the equivalent resistance of the insulation performance at the temperature θ1 is R ins1 , when the temperature is θ2, the insulation performance equivalent resistance is R ins2 .

[0062] Substituting this relationship into the insulation temperature formula, the optimal insulation performance equivalent resistance and the optimal temperature equivalent resistance can be calculated.

[0063] The optimum insulation performance and optimum temperature are calculated based on the insulation performance equivalent resistance and temperature equivalent resistance.

[0064] The formula for calculating the optimal insulation performance based on the equivalent resistance of the optimal insulation performance is expressed as:

[0065] Where H is the performance of the insulating material, d is the thickness of the insulating material, A is the area covered by the insulating material, and R ins It is the insulation performance equivalent resistance.

[0066] The insulation performance of the transformer directly affects the electrical characteristics of the internal circuit of the box transformer. Good insulation can ensure that the voltage and current in the circuit remain stable, thereby avoiding problems such as voltage fluctuations and current instability. These problems may cause the output power of the box transformer to be unstable, thereby affecting its output efficiency. Therefore, by optimizing the insulation performance, the voltage and current are maintained stable, thereby improving the output efficiency of the box transformer. The selection of insulation materials and the optimization of insulation performance help to reduce the loss of reactive power. Reactive power is a kind of useless power in the power system, which will flow in the power grid and generate losses. If the insulation performance of the box transformer is poor, it may lead to an increase in reactive power and thus reduce the power factor. The power factor is one of the important indicators for measuring the operating efficiency of the power system. It reflects the ratio of the active power output of the power supply to the apparent power. The lower the power factor, the more reactive power there is in the power grid, and the greater the energy loss. Therefore, by optimizing the insulation performance, reducing the reactive power loss and improving the power factor, the output efficiency of the box transformer can be improved.

[0067] Box transformers with good insulation performance can reduce equipment damage and failures caused by current leakage, short circuits and other problems. These failures not only affect the output efficiency of the box transformer, but also increase the cost of repairing and replacing equipment. By adaptively optimizing insulation performance, the service life of the equipment can be extended, the failure rate can be reduced, and the overall output efficiency of the box transformer can be improved.

[0068] The optimal temperature formula for calculating the temperature equivalent resistance is:

[0069] In the formula, R eq is the equivalent resistance value at temperature T, R0 is the resistance value at reference temperature T0, and a is the temperature coefficient of resistance.

[0070] The temperature coefficient a of resistance is given by:

[0071] Where a is the temperature coefficient of resistance, R1 and R2 are the resistance values ​​measured at temperatures T1 and T2 respectively, T1 and T2 are two different temperature values, R is the nominal value, and the average value of R1 and R2 is taken.

[0072] Analyze the impact of temperature on the output power of the box transformer. Excessive temperature may cause the equipment to overheat, which will affect its performance and life. It will also accelerate the aging of the insulation materials inside the transformer. At the same time, the insulation materials will gradually lose their insulation properties at high temperatures, reducing the insulation strength of the transformer. High temperature will accelerate the chemical reaction inside the insulation material, resulting in a decrease in material performance and an increase in the risk of partial discharge and short circuit. The increase in temperature will increase the resistance of the transformer winding. The increase in resistance will increase the current loss in the winding, which will further increase the temperature of the transformer, forming a vicious cycle. The increase in winding resistance will also cause the output voltage of the transformer to decrease, affecting the power supply quality. For oil-immersed transformers, high temperature will accelerate the deterioration of transformer oil. Transformer oil will decompose at high temperatures to produce impurities such as gas and sediment, reducing its insulation performance and heat dissipation capacity. Deterioration of oil quality may also cause local overheating, discharge and other faults inside the transformer, further damaging the transformer. Excessive transformer temperature will increase the temperature inside the box transformer, thereby affecting the normal operation of other electrical equipment. High temperature will also accelerate the aging of insulation materials such as cables and reduce their service life. Excessive temperature may cause deformation and rupture of the transformer casing, thereby causing safety accidents. The intelligent detection system of the box-type transformer monitors the ambient temperature in real time through the built-in temperature sensor, and automatically adjusts the working mode of the cooling system as needed. For example, in the hot summer, the system will strengthen the heat dissipation, such as increasing the fan speed or starting additional cooling devices to ensure that the internal temperature of the box-type transformer remains within a safe range. In the colder season, the system will reduce the intensity of heat dissipation to save energy.

[0073] These parameter values, obtained under the premise of ensuring system stability and energy efficiency, can ensure that the box-type transformer operates in the best state. According to the calculated optimal parameter values, remote adjustment or notification of staff to adjust the operating parameters of the box-type transformer. During the adjustment process, the system will ensure that the adjustment range of the parameters is within a safe range to avoid damage to the equipment. The system will monitor the parameter adjustment process in real time and make fine adjustments when necessary to ensure the accuracy and stability of the parameters.

[0074] The control module is used to determine whether the output power exceeds the threshold, and if so, calculate the equivalent resistance of the optimal insulation performance and the equivalent resistance of the optimal temperature, and calculate the optimal insulation performance and the optimal temperature according to the equivalent resistance of the optimal insulation performance and the equivalent resistance of the optimal temperature. The control module includes a real-time data access unit and a data control unit.

[0075] Real-time data access unit, operation and maintenance personnel can view the current, voltage, power factor and other operating data of the box transformer in real time through the remote control system, as well as environmental parameters such as temperature and humidity. These data provide comprehensive equipment status information for operation and maintenance personnel, helping them to find and deal with potential problems in a timely manner. When the operating parameters of the transformer exceed the normal range or a fault occurs, the operation and maintenance personnel adjust the box transformer voltage output through the remote control system to adapt to different load requirements, or remotely restart the equipment to solve certain temporary faults. These operations are easily completed through the remote control system without the need for operation and maintenance personnel to be on site.

[0076] The data control unit is used by inspectors to view the operating status and alarm information of the equipment anytime and anywhere through the mobile phone APP. This allows them to monitor and manage the equipment at any time and any place, greatly improving the convenience and flexibility of management. The intelligent detection system of the box transformer has a fault warning function. By analyzing the real-time monitoring data, it predicts the possible faults of the box transformer and issues warning information in time for timely processing and maintenance. With the data analysis algorithm and artificial intelligence technology, the system can conduct in-depth analysis of the collected data to achieve intelligent fault diagnosis. By comparing historical data and real-time data, the system identifies potential fault modes and trends, quickly locates the fault point, and provides maintenance personnel with detailed fault information and solution suggestions. When the equipment fails or an abnormal situation occurs, the remote control system will automatically send an alarm message to the mobile phone APP or computer client of the inspector. This information includes detailed information such as fault type, fault location, and fault time, which helps the inspector to quickly locate and handle the fault. Through the remote control system, the operation and maintenance personnel formulate detailed equipment maintenance plans. These plans are customized according to the equipment's operating data and historical records to ensure that the equipment is always in the best operating state. At the same time, the remote control system also automatically reminds the inspectors to perform maintenance operations to avoid omissions or delays.

[0077] By using remote operation technology to control the adjustment parameters and power on / off of box-type transformers, the efficiency of operation and maintenance work can be significantly improved, the frequency of manual on-site intervention can be greatly reduced, and the overall operation and maintenance costs can be effectively reduced. Access to the remote monitoring system through mobile APP and web pages allows users to view the operation status of the transformer anytime and anywhere. When the operating parameters of the transformer exceed the normal range or a fault occurs, the remote monitoring system sends an alarm message through SMS, email, mobile APP push, etc., establishes an early warning mechanism, and predicts possible faults in advance based on the operating status and historical data of the transformer, and sends out early warning information so that maintenance personnel have enough time to prepare and take measures to avoid the occurrence of faults.

[0078] After the parameters are adjusted, the system will continue to monitor the operating status and performance of the box-type transformer. If the performance is found to be improved or to meet the expected effect, the system will maintain the current parameter settings. If the performance is found to be degraded or not meeting expectations, the system will adjust the parameters again until the optimal settings are found.

[0079] The present invention provides an intelligent monitoring system for a box-type transformer, which solves the problems of output power reduction and energy waste, and provides the following beneficial effects: By real-time monitoring and analysis of changes in insulation performance and temperature, the working state of the box transformer can be adjusted in time to ensure that its output power remains at the optimal level to meet the load requirements of the power system. Deterioration of insulation performance will lead to increased leakage and loss of electric energy, while excessive temperature will increase the resistance of the transformer winding, increase current loss and heat loss. By analyzing and optimizing insulation performance and temperature, these unnecessary energy wastes can be reduced and energy utilization efficiency can be improved. Insulation materials and other components inside the transformer will accelerate aging under high temperature and harsh environment, resulting in a shortened equipment life. By analyzing and controlling temperature, the aging rate of these components can be slowed down and the service life of the equipment can be extended. By real-time monitoring of insulation performance and temperature, potential fault hazards can be discovered and handled in time, thereby reducing the number of equipment maintenance and downtime, and improving equipment reliability and availability. Deterioration of insulation performance and excessive temperature may cause electrical equipment to have short circuits, discharges and other faults, and in severe cases even cause safety accidents such as fires or explosions. By analyzing and controlling these factors, safety hazards can be discovered and eliminated in time to prevent safety accidents. As an important part of the power system, the operating status of the box transformer directly affects the stability of the entire system. By optimizing insulation performance and temperature control, the operational stability of the box-type transformer is improved, thereby improving the stability of the entire power system. Remote operation prevents personnel from directly contacting high-voltage electrical equipment, thereby reducing safety risks such as electric shock and short circuit. Remote operation quickly adjusts output power according to actual needs to achieve flexible scheduling and load management. This helps to optimize the allocation of power resources and improve energy efficiency. Remote operation reduces the time and cost of on-site operation by personnel, while reducing the frequency and cost of equipment maintenance and overhaul.

[0080] In order to realize the above-mentioned intelligent monitoring system of a box transformer and apply it to the existing intelligent monitoring of dry-type transformers, this embodiment also provides an intelligent monitoring device for a box transformer. The fault monitoring device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, power monitoring of the existing box transformer is realized, energy utilization efficiency is improved, and potential fault hazards are discovered and handled in a timely manner.

[0081] The computer device may be a smart phone, tablet computer, laptop computer, desktop computer, rack server, blade server, tower server or cabinet server (including an independent server or a server cluster composed of multiple servers) that can execute programs. The computer device of this embodiment includes at least but is not limited to: a memory and a processor that can communicate with each other through a system bus.

[0082] In this embodiment, the memory (i.e., readable storage medium) includes flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory may be an internal storage unit of a computer device, such as a hard disk or memory of the computer device. In other embodiments, the memory may also be an external storage device of a computer device, such as a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), etc. equipped on the computer device. Of course, the memory may also include both the internal storage unit of the computer device and its external storage device. In this embodiment, the memory is generally used to store an operating system and various application software installed on the computer device. In addition, the memory may also be used to temporarily store various types of data that have been output or are to be output.

[0083] In some embodiments, the processor may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chip. The processor is generally used to control the overall operation of a computer device. In this embodiment, the processor is used to run the program code stored in the memory or process data, thereby realizing fault monitoring of the existing dry-type transformer and improving the accuracy and reliability of fault detection.

[0084] The device embodiments described above are merely illustrative, wherein the units described as separate components are or are not physically separated, and the components shown as units are or are not physical units, that is, located in one place, or distributed on multiple network units. Some or all of the modules are selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative work.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the above embodiments, a person skilled in the art should understand that the technical solutions described in the above embodiments are still modified, or some of the technical features thereof are replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent monitoring system for box-type transformers, used for detecting box-type transformers, characterized in that: include: A data acquisition module is used to collect the initial perception data inside the box-type transformer in real time, wherein the initial perception data includes electrical parameters and environmental parameters; The communication network and data processing module is used to clean the initial sensing data and transmit it to the data terminal in real time to obtain terminal cleaned data; Performance temperature power analysis module, used to analyze the mapping relationship between insulation performance, temperature and output power, and obtain the insulation temperature formula; The control module is used to determine whether the output power exceeds a preset threshold range, and if so, calculate the optimal insulation performance equivalent resistance and the optimal temperature equivalent resistance, and calculate the optimal insulation performance and the optimal temperature based on the equivalent resistance of the optimal insulation performance equivalent resistance and the optimal temperature equivalent resistance.

2. The intelligent monitoring system for a box-type transformer according to claim 1 is characterized in that: The data acquisition module comprises: The electrical parameter acquisition unit is used to collect the voltage, current, power and power factor inside the box-type transformer in real time; The environmental parameter collection unit is used to collect the temperature, humidity and water level inside the box transformer.

3. The intelligent monitoring system for a box-type transformer according to claim 1 is characterized in that: The communication network and data processing module include: An edge computing gateway unit, configured to perform edge computing on the initial sensing data to obtain gateway data; The data processing unit is used to remove abnormal data generated by interference factors in the gateway data, convert the gateway data into a unified format, classify the gateway data according to electrical parameters and environmental parameters, and obtain terminal cleaning data.

4. The intelligent monitoring system for a box-type transformer according to claim 1 is characterized in that: The analysis process of the performance temperature power analysis module includes: Calculate the insulation performance equivalent resistance based on the performance, thickness and coverage area of ​​the insulation material; Calculate the temperature equivalent resistance according to the difference between the current temperature and the reference temperature; Calculate the total equivalent resistance according to the temperature equivalent resistance and the insulation performance equivalent resistance; Substituting the total equivalent resistance into the output power formula yields the insulation temperature formula.

5. The intelligent monitoring system for a box-type transformer according to claim 1 is characterized in that: The insulation temperature formula is expressed as: Where P out is the output power, U is the input voltage, R eq is the temperature equivalent resistance, R load is the load resistance, k is a constant, R ins It is the insulation performance equivalent resistance.

6. The intelligent monitoring system for a box-type transformer according to claim 1 is characterized in that: The process of the control module calculating the optimal insulation performance and the optimal temperature includes: Set the optimal output power according to line voltage, line current and reactive power compensation power factor; Substituting the influence relationship formula of the optimal output power, insulation performance and temperature into the insulation temperature formula to calculate the optimal insulation performance equivalent resistance and the optimal temperature equivalent resistance; The optimal insulation performance equivalent resistance and the optimal temperature equivalent resistance are substituted into the insulation performance formula and the temperature formula respectively to calculate the optimal insulation performance and the optimal temperature.

7. The intelligent monitoring system for a box-type transformer according to claim 1 is characterized in that: The relationship between insulation performance equivalent resistance and temperature equivalent resistance is expressed as: Where a is the temperature coefficient of resistance, R0 is the resistance value at reference temperature T0, the thickness of the insulating material is d, the area covered by the insulating material is A, and the equivalent resistance of the insulation performance at temperature θ1 is R ins1 , when the temperature is θ2, the insulation performance equivalent resistance is R ins2 .

8. The intelligent monitoring system for a box-type transformer according to claim 6 is characterized in that: The formula for calculating the optimal insulation performance according to the equivalent resistance of the optimal insulation performance is expressed as: Where H is the performance of the insulating material, d is the thickness of the insulating material, A is the area covered by the insulating material, and R ins It is the insulation performance equivalent resistance.

9. The intelligent monitoring system for a box-type transformer according to claim 6 is characterized in that: The optimal temperature formula for calculating the optimal temperature equivalent resistance is as follows: In the formula, R eq is the equivalent resistance value at temperature T, R0 is the resistance value at reference temperature T0, and a is the temperature coefficient of resistance.

10. An intelligent monitoring device for a box-type transformer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: Each functional module in the intelligent monitoring device for a box-type transformer is deployed in the form of an intelligent monitoring system for a box-type transformer as described in any one of claims 1 to 9.

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