Mobile Substation Monitoring System and Method, Computer Equipment, and Mobile Substation
By introducing sensor groups, data acquisition modules, fault detection and automatic correction modules and computer monitoring modules into the substation monitoring system, automatic identification and correction of sensor failures is realized, monitoring instability caused by sensor failures is solved, and the stability and automation of the system are improved.
Patent Information
- Application Number
- CN202411764971.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-04
- Publication Date
- 2025-07-29
- Estimated Expiration
- 2044-12-04
AI Technical Summary
The existing substation monitoring system is prone to missed or false alarms due to sensor failures, which makes it impossible for staff to accurately grasp the internal conditions of the substation and has low stability.
The combination of sensor group, data acquisition module, fault detection and automatic correction module and upper computer monitoring module is adopted to perform fault detection through fault detection algorithm and historical reference sensor data, automatically correct or restart the sensor to generate alarm information.
It improves the stability and automation of substation monitoring, ensures the reliability and timely maintenance of sensors, reduces false alarms and missed reports caused by sensor failures, and enhances the stability of the monitoring system.
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Figure CN119253865B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of power system substations, and particularly to a mobile substation monitoring system and method, computer equipment, and a mobile substation. Background Art
[0002] The power system plays a crucial role in modern society, providing power supply for various applications. As a key component of the power system, a substation is used to step up, step down, distribute, and control the power flow. Traditional substations are usually fixed and require large-scale infrastructure and land, making it difficult to quickly deploy them in emergency situations, especially during natural disasters, equipment failures, or grid maintenance. Mobile substations usually include transformers, switchgear, control systems, and related sensors. These mobile devices can be quickly deployed to provide power supply reliability and flexibility for the maintenance and upgrade of the power system. Existing substation monitoring systems usually rely on sensors to monitor key parameters such as current, voltage, temperature, and humidity. Sensors play a crucial role in the system, but they are also vulnerable to failures. Sensor failures may lead to missed or false alarms in emergency situations, resulting in staff not being able to accurately grasp the internal situation of the substation. Therefore, the current substation monitoring system has the problem of low stability. Summary of the Invention
[0003] Based on this, it is necessary to provide a mobile substation monitoring system and method, computer equipment, and a mobile substation that can improve the stability of substation monitoring for the above technical problems.
[0004] A mobile substation monitoring system includes:
[0005] A sensor group, arranged inside the box body of the mobile substation, for collecting sensing data inside the mobile substation;
[0006] A data acquisition module, connected to the sensor group, for collecting and transmitting the sensing data collected by the sensor group;
[0007] A fault detection and automatic correction module, respectively connected to the sensor group and the data acquisition module, for receiving the sensing data sent by the data acquisition module, using a fault detection algorithm and stored historical reference sensing data to perform fault detection on the sensing data, obtaining a fault detection result; in the case where the fault detection result indicates a fault, controlling the sensor group to perform automatic correction or restart;
[0008] The host computer monitoring module is connected to the fault detection and automatic correction module, and is used to receive the fault detection result sent by the fault detection and automatic correction module, and generate an alarm message when the fault detection result indicates a fault.
[0009] In one embodiment, the sensor group includes:
[0010] An observation sensor, which is respectively connected to the data acquisition module and the fault detection and automatic correction module. The observation sensor is used to collect the sensing data inside the mobile substation as the sensing data to be detected.
[0011] A spare sensor, which is respectively connected to the data acquisition module and the fault detection and automatic correction module. The spare sensor is used to collect the sensing data inside the mobile substation in response to the control instruction of the fault detection and automatic correction module when the observation sensor fails.
[0012] A reference sensor, which is connected to both the data acquisition module and the fault detection and automatic correction module. The reference sensor is used to collect the sensing data inside the mobile substation as the reference sensing data for comparison with the sensing data to be detected.
[0013] In one embodiment, the fault detection and automatic correction module includes:
[0014] A fault detection module, which is connected to both the host computer monitoring module and the data acquisition module. The fault detection module is used to receive the sensing data sent by the data acquisition module, perform fault detection on the sensing data using a fault detection algorithm and the stored historical reference sensing data, obtain a fault detection result, and send the fault detection result to the host computer monitoring module.
[0015] An automatic correction module, which is respectively connected to the fault detection module, the sensor group, and the host computer monitoring module. The automatic correction module is used to control the sensor group to perform automatic correction or restart when the fault detection result indicates a fault, and send a processing feedback to the fault detection module; the processing feedback is used to instruct the fault detection module to perform fault detection on the sensor group again.
[0016] In one embodiment, the fault detection and automatic correction module further includes:
[0017] Historical data recording module, the historical data recording module is connected to the data acquisition module and the fault detection module, and the historical data recording module is used to receive and store the reference sensing data collected by the reference sensors of the sensor group.
[0018] A mobile substation monitoring method, which is applied to the mobile substation monitoring system described in the above embodiments, and includes:
[0019] Obtain the sensing data inside the mobile substation collected by the sensor group;
[0020] Use a fault detection algorithm and the stored historical reference sensing data to perform fault detection on the sensing data to obtain a fault detection result;
[0021] When the fault detection result indicates a fault, control the sensor group to perform automatic calibration or restart, and generate an alarm message.
[0022] In one embodiment, the using a fault detection algorithm and the stored historical reference sensing data to perform fault detection on the sensing data to obtain a fault detection result includes:
[0023] When the sensing data is zero, determine that the fault detection result is a sensor group connection fault;
[0024] When the sensing data is within a preset abnormal data range, determine that the fault detection result is abnormal interference or abnormal sensor output.
[0025] In one embodiment, when the sensing data is within a preset abnormal data range, determining that the fault detection result is abnormal interference or abnormal sensor output includes:
[0026] When there is a difference between the sensing data of the observation sensor and the sensing data of the reference sensor, and the historical reference sensing data is within a preset threshold range, determine that the fault detection result is a fault of the observation sensor;
[0027] When the sensing data of the observation sensor is consistent with the sensing data of the reference sensor, and the historical reference sensing data exceeds the preset threshold range, determine that the fault detection result is a fault of the reference sensor;
[0028] When the sensing data of the observation sensor is consistent with the sensing data of the reference sensor, and the historical reference sensing data exceeds the preset threshold range, determine that the fault detection result is that both the reference sensor and the observation sensor are faulty, or the mobile substation is abnormal.
[0029] In one embodiment, when the fault detection result indicates a fault, controlling the sensor group to perform automatic calibration or restart, and generating an alarm message, including:
[0030] When the fault detection result is a sensor group connection fault, controlling the sensor group to restart;
[0031] When the fault detection result is abnormal interference, first performing a calibration operation and then a linear interpolation calculation on the sensing data to obtain calibrated sensing data;
[0032] When the fault detection result is abnormal sensor output, sending an alarm message through the host computer monitoring module.
[0033] A computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:
[0034] Obtaining the sensing data inside the mobile substation collected by the sensor group;
[0035] Using a fault detection algorithm and the stored historical reference sensing data to perform fault detection on the sensing data to obtain a fault detection result;
[0036] When the fault detection result indicates a fault, controlling the sensor group to perform automatic calibration or restart, and generating an alarm message.
[0037] A mobile substation, including the mobile substation monitoring system as described in the above embodiment;
[0038] The mobile substation includes:
[0039] A box body, a top cover provided above the box body, a bottom beam provided below the box body, a high-voltage chamber, a transformer chamber, and a low-voltage chamber formed by internal partitions of the box body;
[0040] Among them, the sensor group, the data acquisition module, and the fault detection and automatic calibration module included in the mobile substation monitoring system are arranged inside the box body, and the host computer monitoring module included in the mobile substation monitoring system is arranged outside the box body.
[0041] The above-mentioned mobile substation monitoring system and method, computer device, and mobile substation. The system includes a sensor group, a data acquisition module, a fault detection and automatic correction module, and a host computer monitoring module. Among them, the sensor group is connected to the data acquisition module, the fault detection and automatic correction module are respectively connected to the sensor group and the data acquisition module, and the host computer monitoring module is wirelessly communicatively connected to the fault detection and automatic correction module, enabling staff to remotely monitor the internal situation of the substation through the host computer monitoring module. Among them, the sensor group is used to collect sensing data inside the mobile substation, and the data acquisition module is used to collect and transmit the sensing data collected by the sensor group. The fault detection and automatic correction module is used to receive the sensing data sent by the data acquisition module, and uses a fault detection algorithm and stored historical reference sensing data to perform fault detection on the sensing data to obtain a fault detection result; in the case where the fault detection result indicates a fault, it controls the sensor group to perform automatic correction or restart, which can promptly identify the fault situation of the sensor and can maintain the sensor through automatic correction and restart, improving the automation degree and stability of the system. The host computer monitoring module is used to receive the fault detection result sent by the fault detection and automatic correction module, and in the case where the fault detection result indicates a fault, it generates an alarm message to notify the staff to conduct further fault verification, further enhancing the stability of the monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or in the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0043] Figure 1 It is a schematic structural diagram of a mobile substation monitoring system in an embodiment;
[0044] Figure 2 It is a schematic structural diagram of a mobile substation monitoring system in another embodiment;
[0045] Figure 3 It is a schematic flowchart of a mobile substation monitoring method in an embodiment;
[0046] Figure 4 It is a schematic flowchart of a fault type identification step in an embodiment;
[0047] Figure 5 It is a schematic flowchart of a fault response measure in an embodiment;
[0048] Figure 6Schematic structural diagram of a mobile substation in an embodiment;
[0049] Figure 7 Internal structure diagram of a computer device in an embodiment. Detailed implementation manners
[0050] To facilitate the understanding of this application, the following will describe this application more comprehensively with reference to the relevant attached drawings. Embodiments of this application are shown in the attached drawings. However, this application can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, these embodiments are provided to make the disclosure of this application more thorough and comprehensive.
[0051] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs. The terms used in the specification of this application herein are only for the purpose of describing specific embodiments and are not intended to limit this application.
[0052] Spatial relationship terms such as "under", "below", "lower", "beneath", "above", "upper", etc. can be used herein to describe the relationship between an element or feature shown in the figure and other elements or features. It should be understood that in addition to the orientation shown in the figure, spatial relationship terms also include different orientations of the device during use and operation. For example, if the device in the attached drawing is flipped, an element or feature described as "under other elements" or "beneath it" or "under it" will be oriented "above" other elements or features. Therefore, the exemplary terms "under" and "below" can include both the upper and lower orientations. In addition, the device can also include other orientations (such as rotating 90 degrees or other orientations), and the spatial description terms used herein are accordingly interpreted.
[0053] It should be noted that when an element is considered to be "connected" to another element, it can be directly connected to the other element or connected to the other element through an intermediate element. In addition, "connection" in the following embodiments should be understood as "electrical connection", "communication connection", etc. if there is a transmission of electrical signals or data between the connected objects.
[0054] As used herein, the singular forms "a", "an" and "the" may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms "comprise / include" or "have" etc. specify the presence of the stated features, wholes, steps, operations, components, parts or combinations thereof, but do not exclude the possibility of the presence or addition of one or more other features, wholes, steps, operations, components, parts or combinations thereof.
[0055] In one embodiment, as Figure 1 shown, a mobile substation monitoring system is provided, including:
[0056] a sensor group 101, a data acquisition module 102, a fault detection and automatic correction module 103, and a host computer monitoring module 104.
[0057] Among them, the sensor group 101 is connected to the data acquisition module 102, the fault detection and automatic correction module 103 is respectively connected to the sensor group 101 and the data acquisition module 102, and the host computer monitoring module 104 is wirelessly communicatively connected to the fault detection and automatic correction module 103. Among them, the sensor group 101 is used to collect the sensing data inside the mobile substation, and the data acquisition module 102 is used to collect and transmit the sensing data collected by the sensor group 101. The fault detection and automatic correction module 103 is used to receive the sensing data sent by the data acquisition module 102, and perform fault detection on the sensing data by using a fault detection algorithm and the stored historical reference sensing data to obtain a fault detection result; in the case where the fault detection result indicates a fault, control the sensor group 101 to perform automatic correction or restart. The host computer monitoring module 104 is used to receive the fault detection result sent by the fault detection and automatic correction module, and generate an alarm message in the case where the fault detection result indicates a fault.
[0058] Exemplarily, the sensor group 101, the data acquisition module 102, and the fault detection and automatic correction module 103 are arranged inside the substation, and the host computer monitoring module 104 is arranged outside the substation. The host computer monitoring module 104 is connected to the fault detection and automatic correction through a communication method such as a wireless local area network, and the staff can remotely monitor the internal situation of the substation through the host computer monitoring module 104. The sensor group 101 may include a current sensor, a voltage sensor, a temperature sensor, a vibration sensor, and a water level sensor to perform multi-faceted data detection on the substation. The data acquisition module 102 processes the sensing data collected by the sensor group 101, including processing operations such as integration of various sensing data, data cleaning, and data conversion.
[0059] In the above-mentioned mobile substation monitoring system, it includes a sensor group 101, a data acquisition module 102, a fault detection and automatic correction module 103, and a host computer monitoring module 104. Among them, the sensor group 101 is connected to the data acquisition module 102, the fault detection and automatic correction module 103 is respectively connected to the sensor group 101 and the data acquisition module 102, and the host computer monitoring module 104 is wirelessly communicatively connected to the fault detection and automatic correction module 103, enabling the staff to remotely monitor the internal situation of the substation through the host computer monitoring module 104. Among them, the sensor group 101 is used to collect the sensing data inside the mobile substation, and the data acquisition module 102 is used to collect and transmit the sensing data collected by the sensor group 101. The fault detection and automatic correction module 103 is used to receive the sensing data sent by the data acquisition module 102, and uses a fault detection algorithm and the stored historical reference sensing data to perform fault detection on the sensing data to obtain a fault detection result; in the case where the fault detection result indicates a fault, it controls the sensor group 101 to perform automatic correction or restart, which can timely identify the fault situation of the sensor, and can maintain the sensor through automatic correction and restart, improving the automation degree and stability of the system. The host computer monitoring module 104 is used to receive the fault detection result sent by the fault detection and automatic correction module, and in the case where the fault detection result indicates a fault, it generates an alarm message to notify the staff to conduct further fault verification, further enhancing the stability of the monitoring system.
[0060] In one embodiment, as Figure 2 shown, the sensor group includes:
[0061] Observation sensors, spare sensors, and reference sensors.
[0062] Among them, the observation sensors are respectively connected to the data acquisition module and the fault detection and automatic correction module, the spare sensors are respectively connected to the data acquisition module and the fault detection and automatic correction module, and the reference sensors are both connected to the data acquisition module and the fault detection and automatic correction module. Among them, the observation sensors are used to collect the sensing data inside the mobile substation as the sensing data to be detected; the spare sensors are used to collect the sensing data inside the mobile substation in response to the control instruction of the fault detection and automatic correction module in the case where the observation sensors fail; the reference sensors are used to collect the sensing data inside the mobile substation as the reference sensing data for comparison with the sensing data to be detected.
[0063] Exemplarily, the observation sensor, the backup sensor, and the reference sensor each include a current sensor, a voltage sensor, a temperature sensor, a vibration sensor, and a water level sensor. The observation sensor is the main sensor for detecting the internal situation of the substation. The reference sensor serves as a comparison for the observation sensor to monitor whether the observation sensor is faulty. In the case where the observation sensor fails and cannot resume normal operation through automatic correction and restart, the backup sensor is enabled to ensure the acquisition of sensing data inside the substation.
[0064] In this embodiment, the observation sensor in the sensor group is responsible for real-time monitoring of the internal state of the substation. The reference sensor serves as a comparison for the observation sensor and can timely detect whether the observation sensor is faulty, ensuring the accuracy and reliability of the observation sensor. The backup sensor is set to take over the observation sensor to perform real-time acquisition of sensing data when the observation sensor fails and cannot resume normal operation relying on the monitoring system maintenance, improving the robustness of the mobile substation monitoring system and thus enhancing the stability of the system.
[0065] In one embodiment, as Figure 3 shown, the fault detection and automatic correction module includes:
[0066] A fault detection module, which is connected to both the upper computer monitoring module and the data acquisition module. The fault detection module is used to receive the sensing data sent by the data acquisition module, perform fault detection on the sensing data using a fault detection algorithm and the stored historical reference sensing data, obtain a fault detection result, and send the fault detection result to the upper computer monitoring module.
[0067] An automatic correction module, which is respectively connected to the fault detection module, the sensor group, and the upper computer monitoring module. The automatic correction module is used to control the sensor group to perform automatic correction or restart when the fault detection result indicates a fault, and send a processing feedback to the fault detection module; the processing feedback is used to instruct the fault detection module to perform fault detection on the sensor group again.
[0068] Exemplarily, the fault detection module receives the sensing data sent by the data acquisition module, performs fault detection on the sensing data using a fault detection algorithm and the stored historical reference data, and in the case of detecting a fault, identifies the type of the fault and sends the fault detection result including the type of the fault to the automatic correction module and the upper computer monitoring module. The automatic correction module takes corresponding correction measures according to the type of the fault. For example, if the type of the fault is an abnormal connection of the sensor group, the sensor is restarted. If the sensor is abnormal due to interference, the data quality of the sensing data is automatically corrected. In the case where the fault detection module cannot determine the fault situation of the sensor group or the automatic correction module has no measures to take, the staff can perform corresponding maintenance measures according to the alarm information generated from the fault detection result received by the upper computer monitoring module.
[0069] In this embodiment, the fault detection module can receive the sensing data from the data acquisition module in real time, compare it with the historical reference data through a fault detection algorithm, and promptly identify potential faults. The fault detection result is sent to the automatic correction module and the upper computer monitoring module, and the automatic correction module can promptly take corresponding measures according to the type of the fault. In the case where the automatic correction module cannot handle it, the staff can also take response measures in a timely manner according to the upper computer monitoring module, thereby reducing the risk of damage to the sensor group and further improving the reliability and stability of the mobile substation monitoring system.
[0070] In one embodiment, as Figure 3 shown, the fault detection and automatic correction module further includes:
[0071] A historical data recording module, which is connected to the data acquisition module and the fault detection module. The historical data recording module is used to receive and store the reference sensing data collected by the reference sensors of the sensor group.
[0072] Exemplarily, the historical data recording module is used to receive and store the reference sensing data collected by the reference sensors of the sensor group as historical reference data. When the fault detection module needs to perform fault detection, the historical reference data is extracted from the historical data recording module as the basis for fault detection.
[0073] In this embodiment, during the fault detection process, the fault detection module can extract historical reference data from the historical data recording module. This provides a reliable basis for fault detection and can improve the accuracy and timeliness of fault detection.
[0074] In one embodiment, as Figure 3 shown, a mobile substation monitoring method is provided, which is applied to the mobile substation monitoring system described in the above embodiment. The method includes:
[0075] Step S302: Obtain the sensing data inside the mobile substation collected by the sensor group.
[0076] Among them, the mobile substation usually includes a transformer, switchgear, control system and related sensors. These mobile devices can be quickly deployed to provide the reliability of power supply and flexibility for the maintenance and upgrade of the power system.
[0077] Among them, the sensing data includes current data, voltage data, temperature data, vibration amplitude data, water level height data, etc. collected by the observation sensors, reference sensors or backup sensors of the sensor group.
[0078] Optionally, the mobile substation monitoring system obtains the sensing data inside the mobile substation collected by the sensor group for subsequent fault detection.
[0079] Step S304: Perform fault detection on the sensing data using a fault detection algorithm and the stored historical reference sensing data to obtain a fault detection result.
[0080] Among them, the historical reference sensing data can be the sensing data collected by the reference sensor inside the mobile substation during a historical time period.
[0081] Among them, the fault detection algorithm can be an algorithm logic for judging whether there is a fault in the sensor group, such as a threshold detection algorithm, statistical method and machine learning algorithm, etc.
[0082] Optionally, the mobile substation monitoring system performs fault detection on the current sensing data using a fault detection algorithm and reads the pre-stored historical reference data to obtain a fault detection result. The fault detection result includes whether a fault occurs and the type of fault that occurs. For example, the mobile substation monitoring system compares the historical reference data with the current sensing data and compares the current sensing data with a preset threshold range to judge whether there is a fault in the sensor group.
[0083] Step S306: In the case that the fault detection result indicates a fault, control the sensor group to perform automatic correction or restart and generate an alarm message.
[0084] Among them, the automatic correction can be to correct the data quality of the sensing data.
[0085] Optionally, when the fault detection result indicates a fault, the sensor group is controlled to perform automatic calibration or restart according to the type of the fault. When the fault type is abnormal sensor connection, the sensor is restarted. When the fault type is abnormal sensing data caused by abnormal signal interference, maintenance is performed in an automatic calibration manner. When the mobile substation monitoring system cannot determine the fault type or take corresponding measures for the fault type, an alarm message is generated, and the staff can perform fault troubleshooting and take corresponding maintenance operations according to the alarm message.
[0086] In this embodiment, by obtaining the sensing data of the current sensor group and comprehensively analyzing whether the sensor group has a fault and identifying the fault type using a fault detection algorithm and historical reference sensing data, the fault condition of the sensor group can be determined in a timely and accurate manner, and corresponding measures can be taken. This avoids the problem that continuous fault monitoring inside the mobile substation cannot be carried out due to equipment abnormalities in the mobile substation system, and improves the stability of the mobile substation monitoring system.
[0087] In one embodiment, step S304 performs fault detection on the sensing data using a fault detection algorithm and the stored historical reference sensing data to obtain a fault detection result, including:
[0088] When the sensing data is zero, it is determined that the fault detection result is a sensor group connection fault; when the sensing data is within a preset abnormal data range, it is determined that the fault detection result is abnormal interference or abnormal sensor output.
[0089] Among them, the preset abnormal data range can be obtained through statistical analysis of the sensing data corresponding to the faults that occurred in the sensor group within the historical time.
[0090] Among them, abnormal interference may be that the sensor is interfered by abnormal signals, resulting in abnormal sensing data output, while there is no fault with the sensor itself.
[0091] Optionally, when the mobile substation monitoring system determines that the sensing data is zero, it is determined that the fault detection result is a sensor group connection fault. When it is determined that the sensing data is within the preset abnormal data range, it is determined that the fault detection result is that the sensor group is interfered by abnormal signals or the sensor output is abnormal. Abnormal sensor output means that there is a fault with the sensor group itself.
[0092] In this embodiment, by distinguishing the types of sensor faults, the fault condition of the sensor is further understood, so as to facilitate taking corresponding and effective measures to maintain the sensor, and reduce the risk that the sensor cannot work properly due to faults.
[0093] In one embodiment, when the sensor data is within a preset abnormal data range, determining that the fault detection result is abnormal interference or abnormal sensor output includes:
[0094] When there is a difference between the sensing data of the observation sensor and the sensing data of the reference sensor, and the historical reference sensing data is within a preset threshold range, determining that the fault detection result is an observation sensor fault; when the sensing data of the observation sensor is consistent with the sensing data of the reference sensor, and the historical reference sensing data exceeds the preset threshold range, determining that the fault detection result is a reference sensor fault; when the sensing data of the observation sensor is consistent with the sensing data of the reference sensor, and the historical reference sensing data exceeds the preset threshold range, determining that the fault detection result is that both the reference sensor and the observation sensor are faulty, or the mobile substation is abnormal.
[0095] Optionally, as Figure 4 shown, a fault type identification flowchart is provided. When there is a difference between the sensing data of the observation sensor and the sensing data of the reference sensor, and the historical reference sensing data of the reference sensor is within a preset threshold range, it indicates that the historical reference data is in a stable condition, determining that the reference sensor has no fault, and the fault detection result is an observation sensor fault. When the sensing data of the observation sensor is consistent with the sensing data of the reference sensor, and the historical reference sensing data exceeds the preset threshold range, it indicates that the historical reference data is in an unstable condition, determining that the fault detection result is a reference sensor fault, and the observation sensor is working properly. When the sensing data of the observation sensor is consistent with the sensing data of the reference sensor, and the historical reference sensing data exceeds the preset threshold range, determining that the fault detection result is that both the reference sensor and the observation sensor are faulty, or the mobile substation is abnormal. At this time, the mobile substation monitoring system cannot determine whether the fault detection result is specifically that both the reference sensor and the observation sensor are faulty, or the mobile substation is abnormal, and an alarm message needs to be generated for manual confirmation to allow the staff to further investigate the fault type. Or a spare sensor can be enabled to further assist in determining the fault type.
[0096] In this embodiment, both the current sensing data of the reference sensor and the historical reference sensing data are used as the basis for fault detection of the observation sensor, which can make a more accurate fault detection judgment and improve the fault detection accuracy and reliability of the mobile substation monitoring system.
[0097] In one embodiment, step S306, when the fault detection result is that there is a fault, controls the sensor group to perform automatic correction or restart and generates an alarm message, including:
[0098] In the case where the fault detection result is a sensor group connection fault, control the sensor group to restart; in the case where the fault detection result is abnormal interference, first perform a calibration operation and a linear interpolation calculation on the sensing data to obtain the corrected sensing data; in the case where the fault detection result is abnormal sensor output, send an alarm message through the upper computer monitoring module.
[0099] Among them, the calibration operation refers to adjusting the output of the sensor by comparing the relationship between the output of the sensor and the known standard value to ensure the accuracy and reliability of its measurement results. Calibration usually involves determining the deviation and sensitivity of the sensor. Among them, the linear interpolation calculation is a mathematical method used to estimate unknown values between known data points. It assumes that the data changes linearly between two known data points.
[0100] Optionally, as Figure 5 shown, a flowchart of the fault response measures is provided. For the mobile substation monitoring system, in the case where the fault detection result is a sensor group connection fault, control the sensor group to restart, and if the restart fails, enable the backup sensor. In the case where the fault detection result is abnormal interference, automatically correct the sensor data, and successively perform a calibration operation and a linear interpolation calculation operation to obtain the corrected sensing data as the monitoring data inside the mobile substation. In the case where the fault detection result is abnormal output of the sensor, send an alarm message through the upper computer monitoring module. At this time, the fault type can be that both the observation sensor and the reference sensor fail, or the substation is abnormal. It can allow the staff to further conduct fault troubleshooting. In the case where both the observation sensor and the reference sensor fail, enable the backup observation sensor to continue monitoring the faults inside the mobile substation. In the case where the substation is abnormal, the staff perform fault repairs on the mobile substation.
[0101] In this embodiment, when a sensor group connection fault is detected, the system can automatically control the sensor group to restart. It can reduce the downtime and ensure the stable operation of the system. When abnormal interference is detected, the system automatically corrects the sensor data through a calibration operation and a linear interpolation calculation. This correction process ensures the accuracy of the monitoring data and improves the monitoring accuracy of the mobile substation. In the case of abnormal sensor output, the system sends an alarm message through the upper computer monitoring module. It can notify the staff in a timely manner to ensure that they can quickly take measures to prevent potential safety hazards. And the alarm message includes the preliminary fault type judgment result, which can reduce the fault troubleshooting time of the staff.
[0102] In one embodiment, as Figure 6 shown, a mobile substation is provided, including the mobile substation monitoring system described in the above embodiment;
[0103] The mobile substation includes:
[0104] A box body 601, a top cover 605 provided above the box body 601, a bottom beam 606 provided below the box body 601, a high-voltage chamber 602, a transformer chamber 603, and a low-voltage chamber 604 formed by internal partitions of the box body 601;
[0105] Among them, the sensor group, data acquisition module, and fault detection and automatic correction module included in the mobile substation monitoring system are arranged inside the box body 601, and the upper computer monitoring module included in the mobile substation monitoring system is arranged outside the box body 601.
[0106] In this embodiment, the setting of the mobile substation box body can prevent the influence of natural disasters on the inside of the substation. The mobile substation can also be quickly deployed in the power system. Part of the mobile substation monitoring system is arranged inside the mobile substation box body to monitor the inside of the substation in real time, and the monitoring feedback can be sent to the upper computer monitoring module outside the box body, so that the staff can remotely monitor the mobile substation.
[0107] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are sequentially shown according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.
[0108] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as Figure 7 shown. The computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store historical reference sensing data and sensing data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it realizes a mobile substation monitoring method.
[0109] Those skilled in the art can understand that Figure 7 The structure shown in Figure 7 is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.
[0110] In one embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.
[0111] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.
[0112] In one embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.
[0113] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tapes, floppy disks, flash memories, optical memories, high-density embedded non-volatile memories, resistive random access memories (ReRAMs), magnetoresistive random access memories (MRAMs), ferroelectric random access memories (FRAMs), phase change memories (PCMs), graphene memories, etc. Volatile memories can include random access memory (RAM) or external cache memories, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., and are not limited thereto. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logics, data processing logics based on quantum computing, etc., and are not limited thereto.
[0114] In the description of this specification, the description referring to terms such as "some embodiments", "other embodiments", "ideal embodiments", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic description of the above terms does not necessarily refer to the same embodiment or example.
[0115] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope described in this specification.
[0116] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the appended claims.
Claims
1. A mobile substation monitoring system, characterized in that, Comprising: A sensor group, disposed inside the box body of the mobile substation, for collecting sensing data inside the mobile substation; the sensor group includes an observation sensor, a spare sensor, and a reference sensor; wherein, the observation sensor is used to collect the sensing data inside the mobile substation as the sensing data to be detected; the spare sensor is used to collect the sensing data inside the mobile substation in response to the control instruction of the fault detection and automatic correction module when the observation sensor fails, and as the fault type for assisting in judging the fault monitoring result; the reference sensor is used to collect the sensing data inside the mobile substation as the reference sensing data for comparison with the sensing data to be detected; A data acquisition module, connected to the sensor group, for acquiring and transmitting the sensing data acquired by the sensor group; A fault detection and automatic correction module, respectively connected to the sensor group and the data acquisition module, for receiving the sensing data sent by the data acquisition module, performing fault detection on the sensing data by using a fault detection algorithm and the stored historical reference sensing data, and obtaining a fault detection result, including: when the sensing data is zero, determining that the fault detection result is a sensor group connection fault; when the sensing data is within a preset abnormal data range, determining that the fault detection result is abnormal interference or abnormal sensor output; when there is a difference between the sensing data of the observation sensor and the sensing data of the reference sensor, and the historical reference sensing data of the reference sensor is within a preset threshold range, indicating that the historical reference sensing data is in a stable state, determining that the reference sensor has no fault and the fault detection result is an observation sensor fault; when the sensing data of the observation sensor is consistent with the sensing data of the reference sensor, and the historical reference sensing data exceeds the preset threshold range, determining that the fault detection result is that both the reference sensor and the observation sensor are faulty, or the mobile substation is abnormal; the fault detection and automatic correction module is further used to control the sensor group to perform automatic correction or restart when the fault detection result indicates a fault; the historical reference sensing data is the sensing data collected by the reference sensor inside the mobile substation during a historical time period; An upper computer monitoring module, connected to the fault detection and automatic correction module, for receiving the fault detection result sent by the fault detection and automatic correction module and generating an alarm message when the fault detection result indicates a fault.
2. The mobile substation monitoring system according to claim 1, characterized in that The observation sensor is respectively connected to the data acquisition module and the fault detection and automatic correction module; the spare sensor is respectively connected to the data acquisition module and the fault detection and automatic correction module; the reference sensor is connected to both the data acquisition module and the fault detection and automatic correction module, and the reference sensor is used to collect the sensing data inside the mobile substation and compare it with the sensing data to be detected as the reference sensing data.
3. The mobile substation monitoring system according to claim 2, wherein The fault detection and automatic correction module includes: A fault detection module, which is connected to both the upper computer monitoring module and the data acquisition module. The fault detection module is used to receive the sensing data sent by the data acquisition module, perform fault detection on the sensing data using a fault detection algorithm and the stored historical reference sensing data, obtain a fault detection result, and send the fault detection result to the upper computer monitoring module; An automatic correction module, which is respectively connected to the fault detection module, the sensor group, and the upper computer monitoring module. The automatic correction module is used to control the sensor group to perform automatic correction or restart in the case that the fault detection result indicates a fault, and send a processing feedback to the fault detection module; the processing feedback is used to instruct the fault detection module to perform fault detection on the sensor group again.
4. The mobile substation monitoring system according to claim 3, characterized in that, The fault detection and automatic correction module further includes: A historical data recording module, which is connected to the data acquisition module and the fault detection module. The historical data recording module is used to receive and store the reference sensing data collected by the reference sensor of the sensor group.
5. A mobile substation monitoring method, characterized in that, Applied to the mobile substation monitoring system according to any one of claims 1 to 4, the method includes: Obtaining the sensing data inside the mobile substation collected by the sensor group; Performing fault detection on the sensing data using a fault detection algorithm and the stored historical reference sensing data to obtain a fault detection result; In the case that the fault detection result indicates a fault, controlling the sensor group to perform automatic correction or restart and generating an alarm message.
6. The mobile substation monitoring method according to claim 5, wherein, The performing fault detection on the sensing data using a fault detection algorithm and the stored historical reference sensing data to obtain a fault detection result includes: In the case that the sensing data is zero, determining that the fault detection result is a sensor group connection fault; In the case that the sensing data is within a preset abnormal data range, determining that the fault detection result is abnormal interference or abnormal sensor output.
7. The mobile substation monitoring method according to claim 6, characterized in that In the case that the sensing data is within a preset abnormal data range, determining that the fault detection result is abnormal interference or abnormal sensor output includes: In the case that there is a difference between the sensing data of the observation sensor and the sensing data of the reference sensor and the historical reference sensing data is within a preset threshold range, determining that the fault detection result is a fault of the observation sensor; When the sensing data of the observation sensor is consistent with the sensing data of the reference sensor and the historical reference sensing data exceeds the preset threshold range, determine that the fault detection result is that the reference sensor is faulty; When the sensing data of the observation sensor is consistent with the sensing data of the reference sensor and the historical reference sensing data exceeds the preset threshold range, determine that the fault detection result is that both the reference sensor and the observation sensor are faulty, or the mobile substation is abnormal.
8. The mobile substation monitoring method according to claim 6, wherein, When the fault detection result is that there is a fault, control the sensor group to perform automatic calibration or restart, and generate an alarm message, including: When the fault detection result is a sensor group connection fault, control the sensor group to restart; When the fault detection result is abnormal interference, first perform a calibration operation on the sensing data and then perform a linear interpolation calculation to obtain the calibrated sensing data; When the fault detection result is abnormal sensor output, send an alarm message through the upper computer monitoring module.
9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 5 to 8.
10. A mobile substation, characterized in that, Including the mobile substation monitoring system according to any one of claims 1-4; The mobile substation includes: A box body, a top cover provided above the box body, a bottom beam provided below the box body, a high-voltage chamber, a transformer chamber, and a low-voltage chamber formed by internal partitions of the box body; Among them, the sensor group, the data acquisition module, and the fault detection and automatic calibration module included in the mobile substation monitoring system are arranged inside the box body, and the upper computer monitoring module included in the mobile substation monitoring system is arranged outside the box body.
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