Substation on-line temperature monitoring system

Abstract

The invention discloses an on-line temperature monitoring system for a transformer substation, and relates to the technical field of monitoring systems, thermocouples, thermal resistors and infrared sensors, the most suitable sensors are selected according to different equipment and environment conditions, wired Ethernet and wireless communication are supported, data can be stably transmitted under different network conditions, and the temperature monitoring system is suitable for monitoring the temperature of the transformer substation. The monitoring center can display the equipment temperature state, the trend chart and the alarm information in real time, an operator is helped to know the equipment condition in time, when the temperature exceeds a set threshold value, the system can automatically trigger alarm, the user interface module displays data through a chart and graph visualization tool, the information is easier to understand and make decisions, and through comparison with historical data, the information can be displayed more accurately. The system can identify the long-term trend of temperature change, trend analysis helps to find out abnormal problems gradually appearing in advance, and data acquisition and processing, stable data transmission, real-time alarm and monitoring and a historical data comparison model improve the operation safety and stability of the substation equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring systems, and in particular to an online temperature monitoring system for a transformer substation. Background Art

[0002] At present, there are more and more infrastructure projects related to electricity, and there are more and more substations with various levels of voltage transformation. The rapidly increasing substations require a large number of management systems to maintain their normal operation;

[0003] In the prior art, the invention with publication number CN104361709B discloses an unattended substation temperature monitoring system, including an indoor monitoring unit, an outdoor monitoring unit, a cooling and fire fighting unit, a base station and a centralized control center, wherein the base station is connected to the indoor monitoring unit, the outdoor monitoring unit, and the cooling and fire fighting unit, and the base station is connected to the centralized control center, and the staff monitors the temperature data in the substation and controls the operation of each unit through the centralized control center;

[0004] The above-mentioned bear can complete the temperature monitoring of the substation, but in actual use, the existing monitoring data is not compared with the historical monitoring data. In the subsequent early warning, there is no comparison of historical data, and the long-term trend of temperature change cannot be identified. The equipment may have a long-term temperature increase trend before the temperature abnormality, and this trend cannot be discovered and processed in time. The judgment of temperature changes may rely too much on immediate measurement results, rather than comprehensive analysis based on historical data, which may lead to false alarms or omissions. For this reason, we propose a substation online temperature monitoring system to solve the above problems. Summary of the invention

[0005] The object of the present invention is to provide an online temperature monitoring system for a substation to solve the problems raised in the above background technology.

[0006] In order to achieve the above-mentioned invention object, the present invention adopts the following technical scheme:

[0007] The present invention provides a substation online temperature monitoring system, comprising the following multiple modules:

[0008] S101, Temperature sensor: Temperature sensor is used to monitor the temperature of equipment in the substation, including transformers, circuit breakers and switch cabinets. Commonly used sensors include thermocouples, thermal resistors and infrared temperature sensors;

[0009] S102, data acquisition unit: the data acquisition unit is responsible for receiving data from the temperature sensor and converting it into a digital signal. The unit includes a data acquisition card and a dedicated temperature acquisition module. The acquisition unit includes a local storage function, which can save data even when a network failure occurs;

[0010] S103, data transmission module: The data transmission module is used to transmit the collected temperature data to the monitoring center, and the module adopts both wired and wireless communication technologies;

[0011] S104, Monitoring Center: The monitoring center is responsible for receiving, processing and displaying temperature data, including computers and servers, running monitoring software to display the equipment status in real time. The monitoring center is equipped with an alarm system, which will trigger an alarm when the temperature exceeds the set range, and the operator will take measures;

[0012] S105, Data Analysis and Storage: The data analysis module analyzes the collected data and identifies potential faults and trends through historical data comparison, statistical analysis, and machine learning algorithms. The storage module saves long-term temperature data for subsequent analysis and report generation;

[0013] S106. User interface: The user interface provides visualized temperature data and alarm information, including graphical display, trend charts and alarm notifications. Users can configure the system, view historical data and generate reports through the interface.

[0014] Preferably, the temperature sensor needs to monitor the equipment and environmental conditions to select the appropriate sensor type, thermocouple, thermal resistor and infrared sensor. The temperature sensor thermocouple is suitable for measurements in the extremely low to extremely high temperature range. The thermal resistor provides accurate temperature readings and is suitable for precise measurements. Infrared temperature sensing is suitable for equipment that is difficult to access or dangerous. There is no physical contact. A suitable installation location needs to be selected in the temperature sensor module to ensure that the sensor can accurately measure the actual temperature of the equipment, including key parts of the transformer, contacts of the circuit breaker and inside the switch cabinet.

[0015] Preferably, the data acquisition unit is connected to a temperature sensor via an interface. The temperature sensor senses temperature and converts it into electrical signals. These signals are transmitted to the data acquisition unit. The analog-to-digital converter in the data acquisition unit converts the received analog signal into a digital signal. The process includes sampling, quantization and encoding, which converts the continuous analog signal into discrete digital data. The converted digital signal is corrected, filtered and amplified by a signal processing module.

[0016] Preferably, the data transmission module receives the processed temperature data from the data acquisition unit, formats the received data according to the protocol, ensures the integrity and consistency of the data during the transmission process, selects the communication mode, and selects wired Ethernet and wireless such as Wi-Fi, Bluetooth communication technology according to the system settings.

[0017] Preferably, the data transmission module supports automatic selection or manual switching of communication modes. Wired communication transmits data to the monitoring center through a network interface, and transmits data to the monitoring center through a wireless network, including encoding, decoding and interference management of wireless signals. After receiving the data, the monitoring center sends a confirmation signal. If no confirmation is received, the data transmission module will automatically retransmit the data until successful reception is confirmed, and check whether any errors occur during the transmission process. If errors are found, they are corrected and retransmitted.

[0018] Preferably, the monitoring center receives temperature data from the data transmission module through a network interface, unpacks the received data, extracts the actual temperature value and related information, parses the unpacked data into a readable format, converts the temperature data into Celsius or Fahrenheit, and stores the temperature data in a database or a local storage system.

[0019] Preferably, the monitoring center analyzes data in real time to identify abnormal situations and trends of temperature fluctuations beyond the normal range, and displays the temperature status of each device in real time through the graphical interface of the monitoring software, including the current temperature, device status, and historical data, and generates data charts and graphs to help operators understand data trends and equipment operating status.

[0020] Preferably, the operator in the monitoring center can set upper and lower temperature thresholds to determine when to trigger an alarm. When the temperature exceeds the set threshold range, the system will automatically trigger an alarm and record detailed information of the alarm event, including time, equipment, and abnormal temperature values, for subsequent analysis and tracking. After receiving the alarm, the operator checks the equipment status, confirms the problem and takes corrective measures, displays the temperature data of all equipment in a centralized manner, processes the received data in a unified manner, simplifies the operating process and data management, continuously updates the temperature data of the equipment, and provides the latest status information.

[0021] Preferably, the data analysis and storage needs to receive real-time temperature data from a monitoring center, import the received temperature data into a data analysis and storage module, perform data cleaning to remove outliers and noise data, compare the data with historical data, identify trends and anomalies, detect temperature fluctuations by comparing current temperature data with historical averages, produce algorithm models, predict future temperature change trends and possible failures, identify normal and abnormal states, store long-term temperature data in a database, identify long-term trends and periodic fluctuations in temperature changes by analyzing historical data and real-time data, automatically detect anomalies using machine learning algorithms, and identify potential equipment failures or system problems.

[0022] Preferably, the system in the user interface module displays real-time temperature data through charts, displays system alarms and abnormal notifications in real time, allows users to configure system parameters, temperature thresholds, alarm settings and data update frequency, configure user permissions and access control, supports users to query historical temperature data for a specific time period, provides data filtering and search functions, and displays temperature data and alarm information through graphics.

[0023] Compared with the prior art, one or more of the above technical solutions have the following beneficial effects:

[0024] The system in the present invention supports thermocouples, thermal resistors and infrared sensors. The most suitable sensor is selected according to different equipment and environmental conditions to ensure accurate temperature measurement. The data acquisition unit uses a high-precision analog-to-digital converter for signal processing to ensure data accuracy and reliability. It supports wired Ethernet and wireless communication, and can stably transmit data under different network conditions. The data transmission module has an automatic retransmission and error detection mechanism to ensure data integrity and consistency. The monitoring center can display the equipment temperature status, trend chart and alarm information in real time to help operators understand the equipment status in time. When the temperature exceeds the set threshold, the system will automatically trigger an alarm and notify the operator in various ways, and record detailed alarm information for tracking. Through data cleaning, trend identification and prediction models, potential faults and long-term trends can be identified to improve equipment maintenance and prevention capabilities. The user interface module displays data through visualization tools such as charts, graphs and dashboards to make information easier to understand and make decisions.

[0025] By comparing with historical data, the system can identify long-term trends in temperature changes. Trend analysis helps to detect abnormal problems that gradually appear in equipment in advance, such as a continuous rise in temperature, which may indicate a potential risk of failure. Combined with the normal operating range of historical data, the system can set warning thresholds more accurately. When the temperature exceeds the historical normal range, the system will automatically issue a warning to remind maintenance personnel to conduct timely inspections and maintenance. This substation online temperature monitoring system can effectively improve the operating safety and stability of substation equipment through high-precision temperature monitoring, reliable data acquisition and processing, stable data transmission, real-time alarm and monitoring, in-depth data analysis and storage, and user-friendly interface design. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0027] Figure 1 It is a schematic diagram of the module architecture of the substation online temperature monitoring system of the present invention;

[0028] Figure 2 It is a schematic diagram of the temperature sensor module framework of the present invention;

[0029] Figure 3 It is a schematic diagram of the module architecture of the data acquisition unit of the present invention;

[0030] Figure 4 It is a schematic diagram of the data transmission module architecture of the present invention;

[0031] Figure 5 It is a schematic diagram of the module architecture of the monitoring center of the present invention;

[0032] Figure 6 It is a schematic diagram of the data analysis and storage module architecture of the present invention. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0034] See also Figure 1 -Figure 7, the present invention provides a substation online temperature monitoring system, including temperature sensors, data acquisition units, data transmission modules, monitoring centers, data analysis and storage and user interface modules. The temperature sensor module selects appropriate sensor types, such as thermocouples, thermal resistors or infrared sensors, according to the equipment and environmental conditions to be monitored, and selects a suitable installation location to ensure that the sensor can accurately measure the actual temperature of the equipment, such as the key parts of the transformer, the contacts of the circuit breaker, the inside of the switch cabinet, etc. Thermocouples are suitable for measurements in the extremely low to extremely high temperature range, have a fast response time to temperature changes, and are suitable for applications in high temperature environments. The relatively low price makes it suitable for large-scale temperature monitoring. Thermal resistors provide accurate temperature readings, which are suitable for precise measurements, and have high accuracy and stability in long-term use. Infrared temperature sensing is suitable for equipment that is difficult to access or dangerous, and can quickly detect temperature changes. There is no physical contact, which reduces wear and maintenance requirements. The correct installation process and the selection of suitable temperature sensor modules are essential for effective temperature monitoring of equipment in substations.

[0035] The data acquisition unit is connected to the temperature sensor through an interface. The sensor senses the temperature and converts it into electrical signals. These signals are transmitted to the data acquisition unit. The analog-to-digital converter of the data acquisition unit converts the received analog signal into a digital signal. This process includes sampling, quantization and encoding to convert the continuous analog signal into discrete digital data. The converted digital signal is corrected, filtered and amplified by the signal processing module. This step can reduce noise, correct deviations, and improve the accuracy of data. The processed data is transmitted to the central monitoring system or database through the network interface. This includes data packaging, transmission protocol processing, and error detection and correction. The system can monitor sensor data in real time, provide timely data feedback, support multiple communication interfaces to adapt to different system requirements, and provide reliable temperature data acquisition and processing capabilities through high-precision signal conversion, real-time data processing and local storage functions.

[0036] In the data transmission module, the processed temperature data will be received from the data acquisition unit, and the received data will be formatted according to the protocol to ensure the integrity and consistency of the data during the transmission process. The communication mode is selected. According to the system settings, wired Ethernet and wireless such as Wi-Fi and Bluetooth communication technology are selected. The system supports automatic selection or manual switching of communication modes. Wired communication transmits data to the monitoring center through the network interface, and transmits data to the monitoring center through the wireless network. Including encoding, decoding and interference management of wireless signals. After receiving the data, the monitoring center sends a confirmation signal. If no confirmation is received, the data transmission module will automatically retransmit the data until the successful reception is confirmed, and check whether there is an error during the transmission process. If an error is found, it will be corrected or retransmitted. It supports both wired and wireless communication technologies to adapt to different application environments and requirements. When one communication mode fails, it can switch to another mode to ensure the reliability of data transmission. It can efficiently transmit large amounts of data, ensure the timeliness and accuracy of temperature data, support real-time data transmission, and is suitable for application scenarios that require rapid response. It has built-in data verification and error correction functions.

[0037] At the same time, the monitoring center receives temperature data from the data transmission module through the network interface, unpacks the received data, extracts the actual temperature value and related information, and parses the unpacked data into a readable format, such as converting the temperature data into Celsius or Fahrenheit, and stores the temperature data in a database or local storage system for subsequent query and analysis. Real-time data analysis is performed to identify abnormal conditions, such as trends where temperature fluctuations exceed the normal range. The temperature status of each device, including current temperature, device status, historical data, etc., is displayed in real time through the graphical interface of the monitoring software. Data charts and graphs are generated to help operators quickly understand data trends and equipment operating status. Operators can set upper and lower temperature thresholds to determine when to trigger an alarm. When the temperature exceeds the set threshold range, the system automatically triggers an alarm, records all temperature data and alarm events, and provides complete historical data and event records. As the core part of the system, the monitoring center ensures timely monitoring of equipment status by receiving, processing and displaying temperature data in real time.

[0038] Perform data analysis and storage simultaneously, receive real-time temperature data from the monitoring center, import the received temperature data into the data analysis and storage module, perform data cleaning to remove outliers and noise data, process missing values, ensure data quality, integrate data from different sources to form a complete data set, compare with historical data, identify trends and anomalies, detect temperature fluctuations by comparing current temperature data with historical averages, calculate statistical characteristics of data such as mean, standard deviation, maximum and minimum values, identify basic trends and distribution of data, produce algorithm models, predict future temperature change trends and possible failures, identify normal and abnormal states, store long-term temperature data in the database, ensure data persistence and integrity, perform data backup regularly to prevent data loss, and archive data that is no longer frequently used. Save storage space and maintain efficient operation of the system. By analyzing historical data and real-time data, it can identify long-term trends and periodic fluctuations in temperature changes to help prevent potential problems. It uses machine learning algorithms to automatically detect anomalies, promptly identify potential equipment failures or system problems, and improve fault prevention capabilities. It provides foresight on future trends through predictive models to help develop more effective maintenance plans and operating strategies. Through the analysis of real-time and historical data, it can predict and warn before problems occur, reducing system downtime. Based on the results of data analysis, it optimizes system settings and operating procedures, improves system efficiency and stability, stores temperature data for a long time, prevents data loss, and maintains efficient operation of the system and data security. The data analysis and storage module can effectively identify potential faults and trends through deep data analysis and intelligent algorithms.

[0039] Finally, there is the user interface module. The system displays real-time temperature data through intuitive charts to help users quickly understand the current equipment status. It displays system alarms and abnormal notifications in real time, including alarm type, severity and timestamp. Users can quickly understand and respond to potential problems. It records and displays historical alarm information to help users track past alarm events and solutions. It allows users to configure system parameters, such as temperature thresholds, alarm settings, data update frequency, etc. It configures user permissions and access control to ensure system security and data privacy. It supports users to query historical temperature data for a specific time period, provides flexible data filtering and search functions, and allows users to export historical data into various formats for further analysis or report production. It generates regular temperature data reports, including daily, weekly or monthly data summaries and analysis results. System parameters can be configured according to actual needs to improve the adaptability and flexibility of the system. Data analysis results are displayed through visualization tools to make complex information easier to understand and make decisions.

[0040] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A substation online temperature monitoring system, characterized in that: It includes the following modules: S101, Temperature sensor: Temperature sensor is used to monitor the temperature of equipment in the substation, including transformers, circuit breakers and switch cabinets. Commonly used sensors include thermocouples, thermal resistors and infrared temperature sensors; S102, data acquisition unit: the data acquisition unit is responsible for receiving data from the temperature sensor and converting it into a digital signal. The unit includes a data acquisition card and a dedicated temperature acquisition module. The acquisition unit includes a local storage function, which can save data even when a network failure occurs; S103, data transmission module: The data transmission module is used to transmit the collected temperature data to the monitoring center, and the module adopts both wired and wireless communication technologies; S104, Monitoring Center: The monitoring center is responsible for receiving, processing and displaying temperature data, including computers and servers, running monitoring software to display the equipment status in real time. The monitoring center is equipped with an alarm system, which will trigger an alarm when the temperature exceeds the set range, and the operator will take measures; S105, Data Analysis and Storage: The data analysis module analyzes the collected data and identifies potential faults and trends through historical data comparison, statistical analysis, and machine learning algorithms. The storage module saves long-term temperature data for subsequent analysis and report generation; S106. User interface: The user interface provides visualized temperature data and alarm information, including graphical display, trend charts and alarm notifications. Users can configure the system, view historical data and generate reports through the interface.

2. A substation online temperature monitoring system according to claim 1, characterized in that: The temperature sensor needs to monitor the equipment and environmental conditions to select the appropriate sensor type, thermocouple, thermal resistor and infrared sensor. The temperature sensor thermocouple is suitable for measurements in the extremely low to extremely high temperature range. The thermal resistor provides accurate temperature readings and is suitable for precise measurements. Infrared temperature sensing is suitable for equipment that is difficult to access or dangerous. There is no physical contact. The temperature sensor module needs to select a suitable installation location to ensure that the sensor can accurately measure the actual temperature of the equipment, including key parts of the transformer, contacts of the circuit breaker and inside the switch cabinet.

3. The substation online temperature monitoring system according to claim 1, characterized in that: The data acquisition unit is connected to the temperature sensor through an interface. The temperature sensor senses the temperature and converts it into electrical signals. These signals are transmitted to the data acquisition unit. The analog-to-digital converter in the data acquisition unit converts the received analog signals into digital signals. The process includes sampling, quantization and encoding, which converts the continuous analog signal into discrete digital data. The converted digital signal is corrected, filtered and amplified by the signal processing module.

4. The substation online temperature monitoring system according to claim 1, characterized in that: The data transmission module receives the processed temperature data from the data acquisition unit, formats the received data according to the protocol, ensures the integrity and consistency of the data during the transmission process, selects the communication mode, and selects wired Ethernet and wireless such as Wi-Fi and Bluetooth communication technology according to the system settings.

5. The substation online temperature monitoring system according to claim 1, characterized in that: The data transmission module supports automatic selection or manual switching of communication modes. Wired communication transmits data to the monitoring center through a network interface, and transmits data to the monitoring center through a wireless network, including encoding, decoding and interference management of wireless signals. After receiving the data, the monitoring center sends a confirmation signal. If no confirmation is received, the data transmission module will automatically retransmit the data until successful reception is confirmed, and check whether any errors occur during the transmission process. If an error is found, it will be corrected and retransmitted.

6. The substation online temperature monitoring system according to claim 1, characterized in that: The monitoring center receives temperature data from the data transmission module through a network interface, unpacks the received data, extracts the actual temperature value and related information, parses the unpacked data into a readable format, converts the temperature data into Celsius or Fahrenheit, and stores the temperature data in a database or a local storage system.

7. The substation online temperature monitoring system according to claim 1, characterized in that: The monitoring center analyzes data in real time to identify abnormal situations and trends of temperature fluctuations beyond the normal range. The temperature status of each device is displayed in real time through the graphical interface of the monitoring software, including the current temperature, device status, and historical data, and data charts and graphs are generated to help operators understand data trends and equipment operating status.

8. The substation online temperature monitoring system according to claim 1, characterized in that: Operators in the monitoring center can set upper and lower temperature thresholds to determine when to trigger an alarm. When the temperature exceeds the set threshold range, the system will automatically trigger an alarm and record detailed information about the alarm event, including time, equipment, and abnormal temperature values, for subsequent analysis and tracking. After receiving the alarm, the operator will check the equipment status, confirm the problem and take corrective measures, and display the temperature data of all equipment in a centralized manner, process the received data in a unified manner, simplify the operating process and data management, continuously update the temperature data of the equipment, and provide the latest status information.

9. The substation online temperature monitoring system according to claim 1, characterized in that: The data analysis and storage needs to receive real-time temperature data from the monitoring center, import the received temperature data into the data analysis and storage module, perform data cleaning to remove outliers and noise data, compare with historical data, identify trends and anomalies, detect temperature fluctuations by comparing current temperature data with historical averages, produce algorithm models, predict future temperature change trends and possible failures, identify normal and abnormal states, store long-term temperature data in a database, identify long-term trends and periodic fluctuations in temperature changes by analyzing historical data and real-time data, use machine learning algorithms to automatically detect anomalies, and identify potential equipment failures or system problems.

10. The substation online temperature monitoring system according to claim 1, characterized in that: In the user interface module, the system displays real-time temperature data through charts, displays system alarms and abnormal notifications in real time, allows users to configure system parameters, temperature thresholds, alarm settings and data update frequency, configure user permissions and access control, supports users to query historical temperature data for a specific time period, provides data filtering and search functions, and displays temperature data and alarm information through graphics.

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