Method and system for identifying working condition of heat tracing band of open-type circuit breaker

Abstract

The invention discloses a method and a system for identifying the working condition of a heat tracing belt of an open-type circuit breaker. The method comprises the following steps: acquiring core working condition information in the running process of the heat tracing belt by adopting a sensor of a heat tracing control system; the method comprises the following steps of: associating and integrating actual working condition data recorded in the maintenance of a heat tracing band of power equipment and core working condition information in the running process of the heat tracing band to form a full-scene data analysis sample library, and establishing a historical running data and working condition characteristic model; based on the historical operation data and the working condition characteristic model, adopting a Bayesian algorithm to calculate the probability of abnormal operation of the heat tracing band; and comparing the abnormal operation probability with an abnormal probability threshold value, and performing dynamic monitoring and abnormal early warning on the working condition of the heat tracing band. According to the method, the accuracy and efficiency of monitoring the running state of the heat tracing band are improved through an informatization means, and the manual operation and maintenance cost is reduced.

Description

Technical Field

[0001] This invention belongs to the field of power equipment technology, specifically relating to a method and system for identifying the operating conditions of open circuit breaker heating cables. Background Technology

[0002] In low-temperature environments, high-voltage electrical equipment using sulfur hexafluoride (SF6) as an insulating and arc-quenching medium is prone to alarm and lockout failures due to gas liquefaction. While adding gas can temporarily alleviate the pressure deficiency, it leads to an excessive total gas volume. As temperatures rise, the internal pressure of the equipment will increase sharply, potentially causing leaks and even explosions, posing a significant threat to the safe operation of the power grid. Insulation and heating measures are effective ways to mitigate this problem, but the lifespan of such heating and insulation equipment is very limited in extreme low-temperature environments, especially in cold regions. Typically, heating tape technology is used to improve the stability of open circuit breakers in low-temperature operation. This involves installing heating tape and related heating and control devices on outdoor open circuit breakers to ensure stable heating and prevent abnormalities in core components or the medium caused by low temperatures, thus ensuring stable performance of critical functions such as power outage and insulation in cold environments. Regarding the monitoring of heating tape technology, current technologies often rely on manual on-site reliability testing, which is inefficient.

[0003] Therefore, based on the actual needs of power grid production, it is an urgent problem to solve the problem of efficiently identifying the operating conditions of circuit breaker heat tracing cables. Summary of the Invention

[0004] Therefore, the purpose of this invention is to provide a method and system for identifying the operating conditions of open circuit breaker heating cables, so as to efficiently detect the operating conditions of heating cables for power equipment in cold regions.

[0005] The technical solution provided by this invention is as follows: Firstly, this invention provides a method for identifying the operating conditions of an open-type circuit breaker's heat tracing cable, comprising: S1: The core operating condition information of the heat tracing cable is collected by the sensors of the heat tracing control system. S2: The actual operating condition data recorded during the maintenance of the power equipment's heat tracing cable is linked and integrated with the core operating condition information during the operation of the heat tracing cable to form a full-scenario data analysis sample library and establish a historical operating data and operating condition feature model; S3: Based on the historical operating data and operating condition characteristic model, the probability of abnormal operation of the heat tracing cable is calculated using the Bayesian algorithm; S4: Compare the probability of the operation abnormality with the abnormality probability threshold to dynamically monitor and provide early warning of abnormalities in the heat tracing cable operation.

[0006] Preferably, the core operating condition information includes: current fluctuation, voltage stability, and temperature change.

[0007] Preferably, the actual operating condition data includes: fault type, fault location, maintenance measures and effects.

[0008] Preferably, based on the historical operating data and the operating condition characteristic model, a Bayesian algorithm is used to calculate the probability of operational anomalies in the heat tracing cable, including: The sensors of the heat tracing control system are used to collect current, voltage and temperature data of the heat tracing cable in real time during operation. Based on the full-scenario data analysis sample library, the probability of abnormal working conditions of the heat tracing cable is calculated using the Bayesian algorithm, where P represents the probability of abnormal working conditions | current or voltage parameters being lower than 10% and temperature change rate being slow. P = P1 * P2 / [P3 * P4] Where P1 represents the probability of current or voltage parameters being 10% lower | abnormal operating state; P2 represents the probability of a slow rate of temperature change or an abnormal operating state. P3 indicates the probability that the current or voltage parameter is 10% lower than normal. P4 represents the probability of a slow rate of temperature change.

[0009] Preferably, the current or voltage parameters being 10% lower and the temperature change rate being slower are obtained by comparing the core operating condition parameters of the heat tracing cable during its operation with the operating condition parameters of the heat tracing cable under standard conditions.

[0010] Preferably, the setting of anomaly probability thresholds enables dynamic monitoring and early warning of anomalies in the operating conditions of the heat tracing cable. The probability of abnormal operation of the heat tracing equipment is calculated using a Bayesian algorithm and compared with a safety threshold. If the probability is lower than the safety threshold, the normal monitoring mode is maintained; if the probability reaches or exceeds the warning threshold, a maintenance prompt is triggered.

[0011] Secondly, the present invention also provides a system for identifying the operating conditions of an open circuit breaker heating cable, comprising: The core operating condition information acquisition module is used to collect core operating condition information of the heat tracing cable in real time. The cloud platform is used to store the core operating condition information of the real-time collected heat tracing cable during its operation. The controller is used for dynamic monitoring and early warning of abnormal conditions of the heat tracing cable, including an association and integration module, an abnormal probability calculation module and an early warning module.

[0012] Preferably, the association and integration module is used to integrate the core operating condition information collected in real time during the operation of the heat tracing cable with the actual operating condition data recorded during the maintenance of the heat tracing cable equipment, and to construct a historical operating data and operating condition feature model. Preferably, the anomaly probability calculation module adopts a Bayesian algorithm to dynamically calculate and analyze the core operating condition information collected in real time based on historical operating data and operating condition feature models, so as to obtain the probability of anomalies occurring in the heat tracing equipment under the current operating state.

[0013] Preferably, the controller further includes an early warning module, which compares the probability of abnormality of the heat tracing equipment under the current operating state with a preset threshold. When the probability exceeds the preset threshold, an early warning mechanism is triggered to promptly prompt staff to conduct targeted investigation and maintenance.

[0014] This invention provides a method and system for identifying the operating conditions of open circuit breaker heating cables. This method achieves real-time identification and intelligent early warning of heating cable operating conditions through an information closed loop of "existing sensor data acquisition + cloud-based historical data linkage + controller autonomous analysis". This not only significantly reduces the workload and risk of missed inspections of manual inspections, but also provides a reliable guarantee for the safe and stable operation of porcelain column circuit breaker heating cables. Attached Figure Description

[0015] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A schematic diagram of the composition structure of an open circuit breaker heating cable condition identification system provided by the present invention; Detailed Implementation

[0018] The present invention will be further explained below with reference to specific implementation schemes, but this explanation does not limit the scope of the invention.

[0019] To address the low efficiency of existing technologies that typically rely on manual on-site testing of the reliability of power equipment heating cables, this implementation plan provides a method and system for identifying the operating conditions of open circuit breaker heating cables. This offers a novel technical solution for detecting the operating conditions of heating cables for power equipment in cold regions, enabling unmanned operation of circuit breaker heating cable condition testing, improving equipment condition testing efficiency while significantly reducing the corresponding manual workload.

[0020] First, this implementation plan provides a method for identifying the operating conditions of the heat tracing cable for open circuit breakers, including: S1: The core operating condition information of the heat tracing cable is collected by the sensors of the heat tracing control system. S2: The actual operating condition data recorded during the maintenance of the power equipment's heat tracing cable is linked and integrated with the core operating condition information during the operation of the heat tracing cable to form a full-scenario data analysis sample library and establish a historical operating data and operating condition feature model; The multi-dimensional operating condition data analysis sample library constructed by this invention requires no additional hardware. It directly utilizes the existing current, voltage, and temperature sensors in the heat tracing control system to collect core operating condition information such as current fluctuations, voltage stability, and temperature changes during the operation of the heat tracing cable in real time. The data is then synchronously uploaded to a cloud database for storage, ensuring the real-time nature and convenience of data acquisition. At the same time, on-site personnel can correlate and integrate the actual operating conditions recorded during equipment maintenance (such as fault type, maintenance location, and handling results) with the real-time operating data stored in the cloud, forming a data analysis sample library covering the entire scenario of "normal operation - abnormal occurrence - maintenance," providing data support for subsequent operating condition judgment.

[0021] S3: Based on the historical operating data and operating condition characteristic model, the probability of abnormal operation of the heat tracing cable is calculated using the Bayesian algorithm; S4: Compare the probability of the operation abnormality with the abnormality probability threshold to dynamically monitor and provide early warning of abnormalities in the heat tracing cable operation.

[0022] An operating condition identification algorithm is embedded in the heating cable controller to dynamically calculate and analyze the features of real-time collected current, voltage, and temperature data. Based on operating condition patterns in a historical sample database, this algorithm can accurately determine the probability of equipment malfunctions under the current operating conditions. When the probability of malfunction reaches a preset threshold, the system automatically triggers an early warning mechanism to promptly prompt staff to conduct targeted troubleshooting and maintenance.

[0023] Compared with the traditional manual timed inspection mode, this invention completely eliminates the reliance on manual inspection, significantly reduces the workload of maintenance staff, and avoids the risk of missed inspections due to long inspection intervals and human judgment errors. On the other hand, by identifying potential faults in advance and intervening in a timely manner, it effectively ensures the safe and stable operation of the porcelain column circuit breaker heating cable, providing strong support for improving the overall operation and maintenance efficiency of power equipment.

[0024] In addition, such as Figure 1 As shown, the present invention also provides an open circuit breaker heating cable condition identification system to realize dynamic condition identification and abnormal early warning, including: The core operating condition information acquisition module is used to collect core operating condition information of the heat tracing cable in real time. The cloud platform is used to store the core operating condition information of the real-time collected heat tracing cable during its operation. The controller is used for dynamic monitoring and early warning of abnormal conditions of the heat tracing cable, including an association and integration module, an abnormal probability calculation module and an early warning module.

[0025] When the heating cable is in normal operation, sensors continuously collect current, voltage, and temperature data and transmit them to the controller. The controller calls upon historical operating data and operating condition characteristic models from the cloud sample library, and uses algorithms to calculate and analyze the real-time data to accurately determine the probability of equipment malfunction under the current operating conditions. Then, based on the abnormal probability threshold (such as preset high, medium, and low risk levels), it automatically makes decisions: if the probability is lower than the safety threshold, it maintains the normal monitoring mode; if it reaches or exceeds the warning threshold, it triggers a maintenance prompt, and promptly arranges personnel to conduct targeted investigation and maintenance on high-risk points to prevent the fault from escalating.

[0026] Example 1: For the heating cable of the porcelain column circuit breaker, current, voltage, temperature and other sensors are installed and the heating controller collects the working conditions of the heating cable in real time and stores the collected information in the database as sample data. At the same time, the working condition parameter information of the heating cable under standard conditions is collected and the parameters are shown in the table below.

[0027] Table 1. Information on operating conditions of heat tracing cables Based on the above information, when the current or voltage parameters are 10% lower and the temperature change rate is slow, the probability of abnormal operating conditions of the heat tracing cable is P(abnormal operating state | current or voltage parameters are 10% lower and the temperature change rate is slow). Based on the Bayesian probability model, the specific calculation formula is as follows: P(Abnormal operating state | Current or voltage parameters are 10% lower, temperature change rate is slow) = P(Current or voltage parameters are 10% lower | Abnormal operating state) * P(Temperature change rate is slow | Abnormal operating state) / [P(Current or voltage parameters are 10% lower) * P(Temperature change rate is slow)] Statistical analysis of the operating conditions of the heat tracing cables in Table 1 shows that: P(current or voltage parameters are 10% lower) = 1 / 3; P (rate of temperature change is relatively slow) = 1 / 3; P (current or voltage parameters are 10% lower | abnormal operating state) = 2 / 5; P (slow rate of temperature change | abnormal operating condition) = 1 / 5; Calculation and analysis show that P (abnormal operating state | current or voltage parameters are 10% lower, and the temperature change rate is slow) = 72%. According to Table 1, the statistical table of heating cable operating conditions, research indicates that when the heating cable is in operation, its operating state is abnormal 72% of the time when the current or voltage parameters are 10% lower and the temperature change rate is slow. Therefore, the control system immediately uploads information about abnormal heating cable operation to the cloud center, allowing for immediate inspection and repair by designated personnel, thus promptly identifying potential equipment safety hazards.

[0028] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0029] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for identifying the operating conditions of an open-type circuit breaker's heat tracing cable, characterized in that, include: S1: The core operating condition information of the heat tracing cable is collected by the sensors of the heat tracing control system. S2: The actual operating condition data recorded during the maintenance of the power equipment's heat tracing cable is linked and integrated with the core operating condition information during the operation of the heat tracing cable to form a full-scenario data analysis sample library and establish a historical operating data and operating condition feature model; S3: Based on the historical operating data and operating condition characteristic model, the probability of abnormal operation of the heat tracing cable is calculated using the Bayesian algorithm; S4: Compare the probability of the operation abnormality with the abnormality probability threshold to dynamically monitor and provide early warning of abnormalities in the heat tracing cable operation.

2. The method for identifying the operating condition of an open circuit breaker heating cable according to claim 1, characterized in that, The core operating condition information includes: current fluctuation, voltage stability, and temperature change.

3. The method for identifying the operating condition of an open circuit breaker heating cable according to claim 1, characterized in that, The actual operating condition data includes: fault type, fault location, maintenance measures and effects.

4. The method for identifying the operating condition of an open circuit breaker heating cable according to claim 1, characterized in that, Based on the historical operating data and operating condition characteristic model, a Bayesian algorithm is used to calculate the probability of operational anomalies in the heat tracing cable, including: The sensors of the heat tracing control system are used to collect current, voltage and temperature data of the heat tracing cable in real time during operation. Based on the full-scenario data analysis sample library, the probability of abnormal working conditions of the heat tracing cable is calculated using the Bayesian algorithm, where P represents the probability of abnormal working conditions | current or voltage parameters being lower than 10% and temperature change rate being slow. P = P1 * P2 / [P3 * P4] Where P1 represents the probability of low current or voltage parameters or abnormal operating conditions. P2 represents the probability of a slow rate of temperature change or an abnormal operating state. P3 indicates the probability that the current or voltage parameters are too low; P4 represents the probability of a slow rate of temperature change.

5. The method for identifying the operating condition of an open circuit breaker heating cable according to claim 4, characterized in that, The low current or voltage parameters and slow temperature change rate are obtained by comparing the core operating condition parameters of the heat tracing cable during its operation with the operating condition parameters of the heat tracing cable under standard conditions. Among them, the current or voltage parameters are 10% lower; the temperature change rate of 0.5-1.5℃ / minute is defined as slow.

6. The method for identifying the operating condition of an open circuit breaker heating cable according to claim 1, characterized in that, The aforementioned setting of anomaly probability thresholds enables dynamic monitoring and early warning of anomalies in the operating conditions of the heat tracing cable. The probability of abnormal operation of the heat tracing equipment is calculated using a Bayesian algorithm and compared with a safety threshold. If the probability is lower than the safety threshold, the normal monitoring mode is maintained; if the probability reaches or exceeds the warning threshold, a maintenance prompt is triggered.

7. An open circuit breaker heating cable condition identification system, characterized in that, include: The core operating condition information acquisition module is used to collect core operating condition information of the heat tracing cable in real time. The cloud platform is used to store the core operating condition information of the real-time collected heat tracing cable during its operation. The controller is used for dynamic monitoring and early warning of abnormal conditions of the heat tracing cable, including an association and integration module, an abnormal probability calculation module and an early warning module.

8. The open circuit breaker heating cable condition identification system according to claim 7, characterized in that, The association and integration module is used to integrate the core operating condition information collected in real time during the operation of the heat tracing cable with the actual operating condition data recorded during the maintenance of the heat tracing cable equipment, and to construct a historical operating data and operating condition feature model.

9. The open circuit breaker heating cable condition identification system according to claim 7, characterized in that, The anomaly probability calculation module uses a Bayesian algorithm to dynamically calculate and analyze the core operating conditions collected in real time based on historical operating data and the operating condition feature model, thereby obtaining the probability of anomalies occurring in the heat tracing equipment under the current operating state.

10. The open-type circuit breaker heating cable condition identification system according to claim 7, characterized in that, The controller also includes an early warning module, which compares the probability of abnormality of the heat tracing equipment under the current operating state with a preset threshold. When the probability exceeds the preset threshold, an early warning mechanism is triggered to promptly prompt staff to carry out targeted investigation and maintenance.

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