A substation equipment multi-parameter on-line monitoring and intelligent early warning system
By combining a multi-parameter acquisition terminal and a LoRa communication integrated processing unit, the problems of multi-dimensional data acquisition and anti-interference in the substation monitoring system were solved, enabling accurate early warning and intelligent operation and maintenance of substation equipment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANXI SHENTONG ELECTRIC POWER ENG CO LTD
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-21
AI Technical Summary
Existing substation monitoring methods mostly rely on single temperature monitoring, lacking multi-dimensional parameter acquisition and correlation analysis, resulting in high false alarm and missed alarm rates. Furthermore, data transmission is unstable in environments with strong electromagnetic interference, failing to meet the needs of intelligent and unmanned operation and maintenance.
By employing a multi-parameter acquisition terminal, LoRa anti-interference communication, integrated processing unit, and hierarchical early warning mechanism, multi-parameter correlation fusion analysis and anti-interference stable transmission are achieved. Combined with parameter threshold and change trend analysis, false judgments are eliminated and accurate early warnings are provided.
It achieves comprehensive multi-dimensional monitoring, accurate early warning, and strong anti-interference capabilities, reduces false alarm and missed alarm rates, and improves the intelligence level and operational safety of substation equipment monitoring.
Smart Images
Figure CN122437268A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power equipment monitoring technology, specifically to a multi-parameter online monitoring and intelligent early warning system for substation equipment. Background Technology
[0002] As the core hub for power grid transmission and distribution, the operating status of key equipment such as transformers, switchgear, cable joints, and combined electrical appliances in substations directly affects the safe and stable operation of the power grid and the reliability of power supply.
[0003] Existing substation monitoring methods primarily rely on single-dimensional temperature monitoring, lacking comprehensive data collection and joint analysis of multiple operating parameters such as equipment current, partial discharge, and ambient temperature and humidity. This makes it difficult to fully and accurately reflect the actual operating status of the equipment. Furthermore, traditional monitoring systems suffer from isolated data, weak linkage, and simplistic early warning logic. They often depend on fixed thresholds for judgment, failing to effectively identify parameter change trends, leading to high false alarm and false negative rates. Moreover, substations are environments with strong electromagnetic interference, and conventional communication methods are prone to data packet loss and unstable transmission, further impacting monitoring accuracy.
[0004] While some existing technologies can collect multiple parameters, the data for each parameter are independent and lack an effective correlation analysis mechanism. When a single parameter fluctuates, it is difficult to determine whether it is due to a real equipment failure or environmental interference, which fails to meet the actual needs of modern substations for intelligent, unmanned, and highly reliable operation and maintenance.
[0005] Therefore, developing an online monitoring system for substations that can achieve comprehensive monitoring of multiple parameters, stable transmission against interference, correlation and fusion analysis, and accurate early warning is a technical problem that urgently needs to be solved in this field. Summary of the Invention
[0006] Purpose of the invention
[0007] To address the shortcomings of existing technologies, this invention provides a multi-parameter online monitoring and intelligent early warning system for substation equipment. The system aims to achieve multi-dimensional operational parameter acquisition, anti-interference and stable transmission, multi-parameter correlation and fusion analysis, hierarchical and precise early warning, and remote centralized management. It solves problems such as single monitoring dimensions, high false alarm and missed alarm rates, weak anti-interference capabilities, and low intelligence levels in existing monitoring systems, thereby improving the comprehensiveness of substation equipment monitoring, the accuracy of early warning, and operational safety.
[0008] Technical solution
[0009] A multi-parameter online monitoring and intelligent early warning system for substation equipment, such as Figure 1As shown, the system includes a multi-parameter acquisition terminal (1), a data transmission unit (2), a comprehensive processing unit (3), a data storage unit (4), an intelligent early warning unit (5), and a remote monitoring unit (6). The functions and connections of each unit are as follows: The multi-parameter acquisition terminal (1) is used to collect temperature, current, partial discharge and ambient temperature and humidity data of key equipment in the substation in real time. It includes a temperature sensor module (11), a current transformer module (12), a partial discharge sensor module (13) and an environmental sensor module (14), which are respectively arranged in key parts such as transformers, switch cabinets, busbars and cable joints. The data transmission unit (2) is connected to the multi-parameter acquisition terminal (1) and the integrated processing unit (3) to transmit the acquired multi-dimensional data in an anti-interference and stable manner. It adopts LoRa wireless communication and has anti-interference coding and modulation functions to adapt to the strong electromagnetic environment of substations. The integrated processing unit (3) adopts an embedded controller to perform correlation fusion analysis on multi-parameter data. By setting logical interlocking relationships between parameters, combined with parameter threshold judgment and trend analysis, it eliminates misjudgments caused by fluctuations in a single parameter, and realizes accurate judgment and early warning logic control of the equipment operating status. The data storage unit (4) is used to store device operation data, abnormal records, and early warning information. It adopts a dual storage mode of local storage plus cloud backup to realize long-term data preservation and traceability query. The intelligent early warning unit (5) is used to perform graded early warning according to the abnormality level of the equipment, including an audible and visual alarm (51) and a remote push module (52), which can realize local audible and visual warning and remote information push; The remote monitoring unit (6) supports PC and mobile terminal operation and is used to realize real-time monitoring of equipment operation status, historical data query, curve display, report export and remote management.
[0010] Work process
[0011] The working process of this system is as follows: 1. Multi-parameter acquisition terminal (1) Real-time acquisition of multi-dimensional data such as temperature, current, partial discharge and ambient temperature and humidity of key equipment in substation through various sensor modules; 2. The collected data is processed by the data transmission unit (2) to resist interference and then stably transmitted to the integrated processing unit (3). 3. The integrated processing unit (3) performs correlation judgment and cross-validation on the received multi-parameter data, and performs comprehensive analysis by combining parameter thresholds and changing trends; 4. When only a single parameter is abnormal while other parameters are normal, the system determines it to be environmental interference and does not trigger an alarm; when multiple parameters are abnormal simultaneously or the parameter change trend exceeds the standard, the system determines it to be an equipment failure and initiates a corresponding level of early warning according to the severity of the abnormality. 5. The intelligent early warning unit (5) activates the sound and light alarm (51) to perform local alarm according to the early warning level, and pushes the early warning information to the relevant operation and maintenance personnel terminal through the remote push module (52); 6. All collected data, abnormal records, and early warning information are stored in the data storage unit (4) to achieve data traceability; 7. Through the remote monitoring unit (6), maintenance personnel can view the equipment operating status in real time, query historical data, and export reports to achieve remote operation and maintenance management.
[0012] Beneficial effects
[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. Comprehensive multi-parameter acquisition for more complete monitoring dimensions: By collecting multi-dimensional data such as equipment temperature, current, partial discharge, and ambient temperature and humidity through multi-parameter acquisition terminals, the operating status of the equipment can be more realistic and comprehensive, avoiding the limitations of single-parameter monitoring; 2. Accurate early warning with low false alarm and missed alarm rates: By adopting multi-parameter correlation and fusion analysis and logic interlocking mechanism, combined with parameter change trend analysis, it can effectively eliminate environmental interference, accurately distinguish between normal equipment fluctuations and real faults, and significantly reduce false alarm and missed alarm rates. 3. Strong anti-interference capability and stable data transmission: The data transmission unit adopts LoRa anti-interference wireless communication method, which has anti-interference coding and modulation function, can adapt to the strong electromagnetic environment of substation, avoid data packet loss, unstable transmission and other problems, and ensure the reliability of data transmission; 4. High level of intelligence and convenient operation and maintenance: It integrates functions such as hierarchical early warning, dual data storage, and remote monitoring to realize the integration of monitoring, early warning, storage, and management. It supports PC and mobile terminal operation, reduces the workload of operation and maintenance personnel, and adapts to the intelligent and unmanned operation and maintenance needs of substations. 5. Wide adaptability and easy promotion: The system is flexible in deployment and has a clear structure. It does not require large-scale modification of existing substation equipment and is suitable for use in various newly built and renovated substations. It features easy installation, high reliability and easy large-scale promotion. Attached Figure Description
[0014] Figure 1 This is a schematic diagram of the overall structural framework of the system of the present invention; Figure 2 This is a schematic diagram of the internal structure of the multi-parameter acquisition terminal of the present invention; Figure 3 This is a schematic diagram of the workflow of the present invention.
[0015] In the diagram: 1-Multi-parameter acquisition terminal, 11-Temperature sensor module, 12-Current transformer module, 13-Partial discharge sensor module, 14-Environmental sensor module, 2-Data transmission unit, 3-Integrated processing unit, 4-Data storage unit, 5-Intelligent early warning unit, 51-Audio-visual alarm, 52-Remote push module, 6-Remote monitoring unit. Detailed Implementation
[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example:
[0017] Please see the appendix Figure 1 -Appendix Figure 3 This invention provides a multi-parameter online monitoring and intelligent early warning system for substation equipment, including a multi-parameter acquisition terminal (1), a data transmission unit (2), a comprehensive processing unit (3), a data storage unit (4), an intelligent early warning unit (5), and a remote monitoring unit (6). The specific configuration of each unit is as follows: The multi-parameter acquisition terminal (1) includes a temperature sensor module (11), a current transformer module (12), a partial discharge sensor module (13), and an environmental sensor module (14). The temperature sensor module (11) uses a high-precision platinum resistance sensor, which is placed in key heat-generating parts such as transformer windings, switch cabinet contacts, and cable joints. The measurement range is -40℃ to 150℃, with an accuracy of ±0.5℃. The current transformer module (12) uses a Rogowski coil transformer, which is compatible with a current range of 0 to 1000A and has an error of ≤1%. The partial discharge sensor module (13) uses an ultrasonic sensor with a detection frequency range of 20kHz to 1MHz, which can accurately capture partial discharge signals of equipment. The environmental sensor module (14) integrates a temperature and humidity sensor to collect environmental temperature and humidity data at the substation site, providing a basis for interference judgment.
[0018] The data transmission unit (2) adopts a LoRa wireless communication module with a working frequency band of 433MHz. It has frequency hopping spread spectrum and anti-interference coding modulation functions. The communication distance can reach 1000m. It can effectively resist strong electromagnetic interference from substations, avoid data packet loss, transmission delay and other problems, and ensure that the collected data is stably transmitted to the integrated processing unit (3).
[0019] The integrated processing unit (3) adopts an STM32 series embedded controller with a built-in multi-parameter correlation fusion analysis module. It can preset the normal threshold range and logical interlock relationship of each parameter. For example, when only the temperature sensor module (11) detects a temperature rise, while the current transformer module (12) and the partial discharge sensor module (13) detect normal data, the system determines that it is an environmental thermal radiation interference and does not trigger an alarm. When the temperature rise is accompanied by an abnormal increase in current or an enhanced partial discharge signal, the system determines that it is a device fault and classifies the warning level (general warning, emergency warning) according to the degree of abnormality.
[0020] The sound and light alarm (51) in the intelligent early warning unit (5) uses a high-volume buzzer and a high-brightness LED light, which is installed on the substation equipment site. When the early warning is triggered, the buzzer emits a warning sound of ≥85dB and the LED light flashes to remind the personnel on site. The remote push module (52) uses a 4G module, which can push the early warning information (including fault location, abnormal parameters, and early warning level) to the mobile APP and PC monitoring platform of the operation and maintenance personnel to realize remote reminder.
[0021] The data storage unit (4) adopts a dual storage mode of local SD card (storage capacity ≥32GB) plus cloud server. The local SD card is used to store the recent 3 months of operation data and abnormal records, and the cloud server is used to store all data for a long time. It supports data traceability and query. When local data is lost, it can be restored through cloud backup.
[0022] The remote monitoring unit (6) includes PC monitoring software and mobile APP, which supports real-time display of equipment operating status (displaying various parameter data in the form of dashboard and curves), historical data query (can be filtered by time range), curve comparison analysis, report export (supports Excel format), remote early warning settings and other functions. Maintenance personnel can check the equipment status anytime and anywhere and handle faults in a timely manner.
[0023] In this embodiment, the system workflow is as follows: The multi-parameter acquisition terminal (1) collects equipment temperature, current, partial discharge and ambient temperature and humidity data in real time, and transmits them to the integrated processing unit (3) through the data transmission unit (2) with anti-interference; the integrated processing unit (3) performs correlation analysis and cross-verification on the multi-parameters to determine the equipment operating status; if the equipment is determined to be faulty, the intelligent early warning unit (5) is activated to perform graded early warning, and the relevant data is stored in the data storage unit (4); the maintenance personnel view the early warning information and equipment status through the remote monitoring unit (6) and carry out maintenance work.
[0024] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A multi-parameter online monitoring and intelligent early warning system for substation equipment, characterized in that, The system includes a multi-parameter acquisition terminal (1), a data transmission unit (2), a comprehensive processing unit (3), a data storage unit (4), an intelligent early warning unit (5), and a remote monitoring unit (6). The multi-parameter acquisition terminal (1) is communicatively connected to the data transmission unit (2), and the data transmission unit (2), data storage unit (4), intelligent early warning unit (5), and remote monitoring unit (6) are all electrically connected to the comprehensive processing unit (3). The system can realize multi-parameter comprehensive acquisition, anti-interference transmission, correlation fusion analysis, hierarchical early warning, and remote management.
2. The system according to claim 1, characterized in that, The multi-parameter acquisition terminal (1) includes a temperature sensor module (11), a current transformer module (12), a partial discharge sensor module (13), and an environmental sensor module (14), which are used to collect equipment temperature, current, partial discharge, and environmental temperature and humidity data in real time.
3. The system according to claim 1, characterized in that, The integrated processing unit (3) has a built-in multi-parameter correlation fusion analysis module, which can realize multi-parameter cross-validation and logical interlock judgment. Combined with parameter threshold and change trend analysis, it can eliminate misjudgment caused by single parameter fluctuation and reduce false alarm rate and false alarm rate.
4. The system according to claim 1, characterized in that, The data transmission unit (2) adopts an anti-interference wireless communication method, has anti-interference coding and modulation function, adapts to the strong electromagnetic environment of the substation, and ensures stable data transmission.
5. The system according to claim 1, characterized in that, The intelligent early warning unit (5) includes an audible and visual alarm (51) and a remote push module (52), which can perform graded early warning prompts according to the abnormality level of the equipment, and realize local audible and visual alarms and remote information push.
6. The system according to claim 1, characterized in that, The data storage unit (4) adopts a dual storage mode of local storage plus cloud backup to realize long-term preservation and traceability query of operating data, abnormal records and early warning information.
7. The system according to claim 1, characterized in that, The remote monitoring unit (6) supports real-time status display, historical data query, curve display and report export functions, and is compatible with PC and mobile terminal operation.
8. The system according to claim 4, characterized in that, The anti-interference wireless communication method adopts LoRa wireless communication, which can avoid data packet loss and unstable transmission in complex electromagnetic environments.
9. The system according to claim 3, characterized in that, The integrated processing unit (3) adopts an embedded controller, which can independently complete multi-parameter correlation analysis, trend calculation and hierarchical early warning logic control without relying on real-time cloud computing.
10. The system according to claim 1, characterized in that, The system is flexible in deployment and has a clear structure, adapting to the equipment monitoring needs of various newly built and renovated substations. It can operate independently and is easy to scale up.