Low-voltage meter box fire early warning method, device and equipment and storage medium

By comprehensively collecting temperature and current data, and combining them with the specifications and environmental information of the low-voltage meter box, the temperature data is dynamically corrected, enabling accurate early warning of low-voltage meter box fires. This solves the problems of false alarms and missed alarms in traditional low-voltage meter box fire early warning technologies, ensuring the safety and reliability of the lines.

CN120877446APending Publication Date: 2025-10-31STATE GRID SICHUAN ELECTRIC POWER CO MARKETING SERVICE CENT
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Patent Information

Application Number
CN202511198640.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-26
Publication Date
2025-10-31

AI Technical Summary

Technical Problem

Traditional low-voltage meter box fire early warning technology relies on a single sensor, which has a high false alarm rate and the risk of missed alarms. It cannot accurately distinguish abnormal temperature rise caused by short circuit, overload or environmental interference.

Method used

By collecting temperature and current data, and combining the specifications of the low-voltage meter box, environmental information, and equipment aging coefficient, the temperature data is dynamically corrected. By using a temperature mapping model and current waveform characteristic analysis, multi-dimensional fire early warning can be achieved.

Benefits of technology

It improves the accuracy and reliability of fire early warning, reduces the possibility of false alarms or missed alarms, and can promptly identify and distinguish situations such as short circuits, overloads or poor contacts, ensuring line safety.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a low-voltage meter box fire early warning method, device and equipment and a storage medium, and belongs to the technical field of low-voltage meter box safety monitoring, and the method comprises the steps: obtaining a preset temperature change threshold value of a low-voltage meter box within a preset time; acquiring a temperature change value of the low-voltage meter box in the preset time; whether the temperature change value is larger than the preset temperature change threshold value or not is judged, if yes, real-time current data in the low-voltage meter box are obtained, short-circuit analysis is carried out based on the real-time current data, and a short-circuit analysis result is generated; and outputting fire early warning information according to the short circuit analysis result. According to the application, the fire early warning of the low-voltage meter box is carried out by collecting the temperature data and the current data, and the temperature data is dynamically corrected by using the specification information of the low-voltage meter box, the environmental parameter and the equipment aging coefficient, so that the monitoring precision is improved, and the problem of false alarm or missing alarm caused by single monitoring parameter and environmental interference is avoided.
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Description

Technical Field

[0001] This application belongs to the field of low-voltage meter box safety monitoring technology, specifically relating to a low-voltage meter box fire early warning method, device, equipment and storage medium. Background Technology

[0002] Low-voltage meter boxes typically refer to electrical equipment used to install electricity metering instruments (such as electricity meters), transformers, and other devices. They provide installation, protection, and insulation for this equipment. With the increasing number of high-power appliances in homes, the capacity of low-voltage meter boxes may not be able to handle such high electrical loads. If household electrical loads consistently exceed standards, it can easily lead to overheating of household circuits and equipment. Oxidation, poor contact, and even loosening of wiring connections within the low-voltage meter box can also occur, exacerbating overheating and sparking at the contact points. Furthermore, aging wiring within the low-voltage meter box can damage the wire insulation, leading to short circuits or poor contact, causing electrical sparks and potentially igniting a fire.

[0003] Traditional low-voltage meter box fire early warning technology mainly relies on a single sensor (such as a temperature sensor or a current sensor) to determine thresholds. However, the above technology has at least the following drawbacks: High false alarm rate: It is impossible to accurately distinguish between short circuit, overload or environmental interference by monitoring only a single parameter; Risk of underreporting: Failure to consider interference from factors such as aging electrical equipment and ambient temperature may result in the inability to identify abnormal temperature rises in a timely manner. Summary of the Invention

[0004] To address the technical problems existing in the prior art, this application proposes a method, device, equipment, and storage medium for early warning of fires in low-voltage meter boxes. It achieves early warning of fires in low-voltage meter boxes by comprehensively collecting temperature and current data, and dynamically corrects the temperature data based on factors such as the specifications of the low-voltage meter box, environmental information, and equipment aging coefficient, thereby improving monitoring accuracy and avoiding false alarms or missed alarms caused by single monitoring parameters or environmental interference.

[0005] This application is achieved through the following technical solution: A method for early warning of fires in low-voltage meter boxes includes: Obtain the preset temperature change threshold of the low-pressure meter box within a preset time. Obtain the temperature change value of the low-pressure meter box within the preset time period; Determine whether the temperature change value is greater than the preset temperature change threshold. If so, obtain the real-time current data in the low-voltage meter box, and perform short-circuit analysis based on the real-time current data to generate short-circuit analysis results. Based on the short-circuit analysis results, fire early warning information is output.

[0006] In some embodiments, the process of obtaining the temperature change value includes: Obtain the specifications of the low-pressure meter box, the geographical location of the low-pressure meter box, and the installation information of the temperature sensor in the low-pressure meter box; Based on the rule information, geographical location information, and installation information, the corresponding influencing factor is obtained. The influencing factor data is then input into a pre-established temperature mapping model to obtain the ratio between the line temperature inside the low-voltage meter box and the detection temperature of the temperature sensor. Based on the ratio and the corrected detection temperature, the circuit temperature inside the low-voltage meter box is obtained.

[0007] In some embodiments, the process of obtaining the temperature change value further includes: Based on the current line load rate and ambient heat radiation intensity of the low-voltage meter box, the ratio relationship output by the temperature mapping model is corrected, and the corrected ratio relationship is used for subsequent processing.

[0008] In some embodiments, the correction process for the detected temperature includes: The temperature detected by the temperature sensor is corrected based on the size parameters, heat exchange efficiency parameters, and environmental parameters of the low-pressure meter box to generate a first corrected temperature. Based on the current use of the low-pressure meter box, the first correction temperature is corrected to generate a second correction temperature, and the second correction temperature is used as the corrected detection temperature for subsequent processing. The formula for calculating the first correction temperature is as follows:

[0009] in, The first correction temperature, The temperature detected by the temperature sensor. This is the ambient temperature compensation coefficient. For ambient temperature, This is the airflow velocity correction factor. air velocity, This is a size correction factor. These are the dimensional parameters of the low-voltage meter box. For the set standard volume, This is the heat exchange correction factor. For the set standard heat exchange efficiency, This is a parameter for heat exchange efficiency. This is the humidity correction factor. This represents the actual ambient humidity. Standard ambient humidity; The formula for calculating the second correction temperature is:

[0010] in, The second correction temperature, The material attenuation constant of the cable insulation layer. This refers to the service life.

[0011] In some implementations, the short-circuit analysis process includes: Obtain the rated current threshold of the low-voltage meter box; Determine whether the real-time current data exceeds the rated current threshold continuously within a preset time. If so, analyze the current waveform characteristics and detect whether there is an abnormal harmonic distortion rate or current mutation rate. If so, determine that there is a short circuit. Otherwise, calculate the temperature change rate of two adjacent temperature change values ​​and determine whether the temperature change rate is greater than the preset temperature change rate threshold. If so, and no abnormal harmonic distortion rate or current mutation rate is detected, determine that there is poor contact or local overload.

[0012] In some implementations, outputting fire early warning information based on the short-circuit analysis results includes: If the short-circuit analysis results indicate the presence of a short circuit, then disconnect the power output terminal of the low-voltage meter box and output the first fire warning information; If the short-circuit analysis result indicates that there is no short circuit, perform fire early warning analysis and output the corresponding second fire early warning information.

[0013] In some implementations, the step of outputting fire warning information based on the short-circuit analysis results further includes: After outputting the first fire warning information, a collaborative protection command is sent to the adjacent low-voltage meter box to enable the adjacent low-voltage meter box to start the load balancing algorithm and transfer the load of the faulty phase to the healthy line. The collaborative protection command includes a fault phase identifier and a maximum permissible temperature rise rate; The load balancing algorithm is specifically as follows: Calculate the remaining capacity of the healthy lines; The faulty phase load is proportionally distributed to healthy lines that have a remaining capacity greater than or equal to 20% of their rated capacity. If none of the healthy circuits meet the requirement that the remaining capacity is greater than or equal to 20% of its rated capacity, the fuse protection of the upstream distribution cabinet will be triggered.

[0014] Secondly, this application proposes a low-pressure meter box fire early warning device, comprising: The first acquisition unit is used to acquire the preset temperature change threshold of the low-pressure meter box within a preset time. The second acquisition unit is used to acquire the temperature change value of the low-pressure meter box within the preset time. The judgment unit is used to determine whether the temperature change value is greater than the preset temperature change threshold. If it is, the short circuit analysis unit is driven to perform short circuit analysis. The short-circuit analysis unit is used to acquire real-time current data in the low-voltage meter box, perform short-circuit analysis based on the real-time current data, and generate short-circuit analysis results. And an output unit, used to output fire warning information based on the short-circuit analysis results.

[0015] Thirdly, this application proposes an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement any of the above-described embodiments of the low-pressure meter box fire early warning method.

[0016] Fourthly, this application proposes a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described embodiments of the low-pressure meter box fire early warning method.

[0017] This application proposes a fire early warning method for low-voltage meter boxes. It uses temperature and current data to provide early warning of fires in low-voltage meter boxes, and dynamically corrects the temperature data using the specifications of the low-voltage meter box, environmental parameters, and equipment aging coefficient to improve monitoring accuracy and avoid false alarms or missed alarms caused by single monitoring parameters or environmental interference. This application also accurately distinguishes between short circuits, overloads, or poor contact conditions in low-voltage meter boxes by combining multi-dimensional analysis of current waveform characteristics and temperature rise rate.

[0018] Accordingly, the low-pressure meter box fire early warning device, electronic device and computer-readable storage medium proposed in this application also have the above-mentioned technical effects. Attached Figure Description

[0019] The accompanying drawings, which are included to provide a further understanding of the embodiments of this application and form part of this application, do not constitute a limitation on the embodiments of this application. In the drawings: Figure 1 This is a flowchart of the low-pressure meter box fire early warning method proposed in the embodiments of this application; Figure 2 This is a schematic diagram of the low-pressure meter box fire early warning device proposed in the embodiments of this application; Figure 3 This is a schematic diagram of the low-pressure meter box fire early warning system architecture proposed in an embodiment of this application; Figure 4 This is a schematic diagram of the electronic device proposed in the embodiments of this application; Figure 5This is a schematic diagram of a computer-readable storage medium proposed in an embodiment of this application.

[0020] Figure reference numerals and corresponding component names: 200 - Early warning device; 201 - First acquisition unit; 202 - Second acquisition unit; 203 - Judgment unit; 204 - Short circuit analysis unit; 205 - Output unit; 300 - Early warning system; 301 - Input device; 302 - Output device; 303 - Processor A; 304 - Memory A; 400 - Electronic device; 410 - Memory B; 420 - Processor B; 411 - Computer program A; 500 - Computer-readable storage medium; 511 - Computer program B. Detailed Implementation

[0021] In the following, the terms “comprising” or “may include” as used in the various embodiments of this application indicate the presence of a function, operation, or element of the invention and do not limit the addition of one or more functions, operations, or elements. Furthermore, as used in the various embodiments of this application, the terms “comprising,” “having,” and their cognates are intended only to indicate a specific feature, number, step, operation, element, component, or combination of the foregoing and should not be construed as primarily excluding the presence of one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing, or adding one or more combinations of the foregoing.

[0022] In various embodiments of this application, the expression "or" or "at least one of A and / or B" includes any combination or all combinations of the words listed simultaneously. For example, the expression "A or B" or "at least one of A and / or B" may include A, may include B, or may include both A and B.

[0023] The terms used in the various embodiments of this application (such as "first," "second," etc.) may modify various constituent elements in the various embodiments, but do not limit the corresponding constituent elements. For example, the above terms do not limit the order and / or importance of the elements. The above terms are only used for the purpose of distinguishing one element from other elements. For example, a first user device and a second user device refer to different user devices, although both are user devices. For example, without departing from the scope of the various embodiments of this application, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element.

[0024] It should be noted that if a description is made of "connecting" one component to another, then the first component can be directly connected to the second component, and a third component can be "connected" between the first and second components. Conversely, when a component is "directly connected" to another component, it can be understood that there is no third component between the first and second components.

[0025] The terminology used in the various embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the various embodiments of this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of this application pertain. The terms (such as those defined in a generally used dictionary) are to be interpreted as having the same meaning as in the context of the relevant technical field and are not to be interpreted as having an idealized or overly formal meaning, unless clearly defined in the various embodiments of this application.

[0026] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the embodiments and accompanying drawings. The illustrative embodiments and descriptions of this application are only for explaining this application and are not intended to limit this application.

[0027] This application proposes a fire early warning method for low-voltage meter boxes. It comprehensively considers temperature and current data to achieve fire early warning for low-voltage meters. Simultaneously, it dynamically acquires a preset temperature change threshold for the low-voltage meter box, rather than using a fixed threshold comparison method, thus improving the accuracy and reliability of the early warning and reducing the possibility of false alarms or missed alarms. Specifically, as follows... Figure 1 As shown, the method proposed in this application includes the following steps: Step 110: Obtain the preset temperature change threshold of the low-pressure meter box within a preset time. Step 120: Obtain the temperature change value of the low-pressure meter box within a preset time. Step 130: Determine whether the temperature change value is greater than the preset temperature change threshold. If so, obtain the real-time current data in the low-voltage meter box, and perform short-circuit analysis based on the real-time current data to generate short-circuit analysis results. Step 140: Based on the short-circuit analysis results, output fire early warning information.

[0028] Furthermore, in step 110 of this application embodiment, the process of obtaining the preset temperature change threshold is as follows: The relationship between temperature and time within a preset time period is obtained from the curve of line temperature change of low-voltage meter box under normal operating conditions. Based on this, the preset temperature change threshold of the low-voltage meter box within the preset time period is obtained. For example, the maximum temperature value of the low-voltage meter box in any consecutive 1 hour is taken as the preset temperature change threshold for that time period.

[0029] Furthermore, in practical applications, due to differences in the specifications of low-voltage meter boxes, their installation locations, and the installation positions of temperature sensors within the boxes, there can be a certain deviation between the data detected by the temperature sensors and the actual line temperature inside the box. Therefore, directly using the temperature data detected by the temperature sensor to characterize the line temperature is not accurate enough and may even lead to misjudgment. To address this, in step 120 of this embodiment, the temperature change data acquisition process is as follows: Obtain the specifications of the low-voltage meter box, its geographical location, and the installation information of the temperature sensor within the low-voltage meter box; Based on specification information, geographical location information and installation information, relevant influencing factor data are obtained. The influencing factor data is then input into a pre-established temperature mapping model to obtain the ratio between the line temperature in the low-voltage meter box and the detection temperature of the temperature sensor. Based on this ratio and the corrected detection temperature, the circuit temperature inside the low-voltage meter box is obtained.

[0030] Furthermore, the process of establishing this temperature mapping model includes: Based on the specification information of a large number of low-voltage meter boxes, we obtain the influencing factor data such as the size parameters and heat exchange efficiency parameters of the low-voltage meter boxes. Based on the geographical location information of the low-voltage meter boxes and the installation information of temperature sensors in the low-voltage meter boxes, we obtain the influencing factor data such as ambient temperature, air velocity and ambient humidity. We also obtain the detection temperature of the temperature sensor and the line temperature in the low-voltage meter box under different combinations of influencing factor data. We process these data to generate a training dataset. A convolutional neural network structure is constructed, whose inputs include size parameters, heat exchange efficiency parameters, ambient temperature, air flow rate, and ambient humidity, and whose output is the ratio of line temperature to detection temperature; The temperature mapping model is obtained by training the convolutional neural network structure using the training dataset.

[0031] This application embodiment establishes a temperature mapping model to characterize the influence of various factors on line temperature, thereby enabling more accurate acquisition of line temperature and providing a more reliable data foundation for fire early warning of low-voltage meter boxes.

[0032] Furthermore, in practical applications, the degree of aging of the circuit is affected by the circuit load rate and environmental heat radiation, and different degrees of aging will also cause changes in the ratio of the temperature detected by the temperature sensor to the circuit temperature. Therefore, in step 120 of this embodiment, the temperature change data acquisition process further includes: Based on the current line load rate and ambient heat radiation intensity of the low-voltage meter box, the weight coefficients in the ratio relationship output by the model are dynamically adjusted, thereby correcting the ratio relationship. The corrected ratio relationship is then used for subsequent processing, thereby further improving the accuracy of the line temperature.

[0033] In this embodiment, the weighting coefficients are updated based on the ratio between the current line load rate and the ambient heat radiation intensity, so that the ratio can be optimized according to the actual application scenario, thereby making the ratio closer to the actual use of the line, and thus making the actual line temperature calculated through the ratio more accurate.

[0034] Furthermore, the specifications, geographical location, and installation information of the low-voltage meter box affect the reliability of the temperature sensor's temperature detection. Additionally, the service life of the low-voltage meter box also affects the reliability of the temperature sensor's temperature detection. To address this, this application embodiment further corrects the temperature detection of the temperature sensor, as detailed below: The temperature of the temperature sensor is corrected based on the size parameters of the low-pressure meter box, heat exchange efficiency parameters, ambient temperature, air flow rate and ambient humidity to generate a first corrected temperature. The first correction temperature is adjusted based on the service life of the low-pressure meter box to generate a second correction temperature, which is then used as the corrected detection temperature for subsequent processing.

[0035] The specific process for generating the first correction temperature is as follows:

[0036] in, The first correction temperature, The temperature detected by the temperature sensor. This is the ambient temperature compensation coefficient. For ambient temperature, This is the airflow velocity correction factor. air velocity, This is a size correction factor. These are the dimensional parameters of the low-voltage meter box. For the set standard volume, This is the heat exchange correction factor. For the set standard heat exchange efficiency, This is a parameter for heat exchange efficiency. This is the humidity correction factor. This represents the actual ambient humidity. Standard ambient humidity (e.g., 50%).

[0037] The specific process for generating the second correction temperature is as follows: The aging coefficient of the cable insulation layer is calculated based on the service life of the low-voltage meter box, and this aging coefficient increases exponentially with the service life. Incorporating the aging factor into the correction process, the correction formula is as follows:

[0038] in, The second correction temperature, The material attenuation constant of the cable insulation layer. This refers to the service life.

[0039] This application embodiment corrects the temperature sensor detection data by utilizing low-voltage meter box size parameters, heat exchange efficiency parameters, and environmental factors. Then, it corrects the data a second time by considering the aging of the line, resulting in a more accurate and reliable temperature sensor detection temperature. This allows for more accurate acquisition of the line temperature, providing a more accurate and reliable data foundation for subsequent line fire early warning and reducing the occurrence of misjudgments or omissions.

[0040] Furthermore, in step 130 of this application embodiment, the process of performing short-circuit analysis based on real-time current data is as follows: Obtain the rated current threshold of the low-voltage meter box; Determine whether the real-time current data continuously exceeds the rated current threshold within a preset time. If so, analyze the current waveform characteristics to detect whether the harmonic distortion rate exceeds the preset ratio or the current mutation rate exceeds the safe range. If abnormal harmonic distortion rate or current mutation rate is detected, it is determined that a short circuit exists. Otherwise, a secondary verification is performed in conjunction with the temperature change value.

[0041] Furthermore, the secondary verification based on temperature change values ​​specifically includes: continuously collecting multiple sets of temperature change values, calculating the temperature change rate between two adjacent sets of temperature change values; determining whether the temperature change rate is greater than a preset temperature change rate threshold; if so, and no abnormal harmonic distortion rate or current mutation rate is detected, then it is determined that there is no short circuit.

[0042] For example, if the real-time current data exceeds 170% of the rated current threshold within 20 seconds and lasts for 1.5 seconds, it is judged as a suspected short circuit. Then, the fast Fourier transform is used to calculate the harmonic distortion rate or current mutation rate. If the harmonic distortion rate is greater than 15% and there is an odd-order harmonic surge, or if the current rises by more than 50% within 0.1 seconds, it is judged as a short circuit. Conversely, if the current is not abnormal but the temperature change rate is greater than the preset temperature change rate threshold, and no abnormal harmonic distortion rate or current mutation rate is detected, it is judged as poor contact or local overload, that is, there is no short circuit.

[0043] This application embodiment ensures the accuracy of short-circuit analysis by combining current threshold judgment, waveform feature analysis, and temperature secondary verification mechanism. It can also distinguish between short circuits, poor contact, and local overload, making it easier for staff to take targeted measures according to the actual situation.

[0044] Furthermore, the specific implementation process of step 140 in this embodiment is as follows: If the short-circuit analysis results indicate the presence of a short circuit, disconnect the power output terminal of the low-voltage meter box and output the first fire warning information. If the short-circuit analysis result indicates that there is no short circuit, perform fire early warning analysis and output the corresponding second fire early warning information.

[0045] In this embodiment of the application, when the short-circuit analysis results indicate that there is no short circuit, further analysis is conducted on other fire-causing conditions such as poor contact and local overload to output different types of fire warning information. This provides technical reference for subsequent maintenance work, improves the timeliness of fault maintenance, and further ensures the safety of the line.

[0046] Furthermore, in practical applications, if a fire warning is issued for a low-voltage meter box, the low-voltage meter box will immediately stop supplying power. However, a sudden power outage will affect the use of residents or factories. Therefore, in order to solve this problem, this embodiment of the application, after outputting the first fire warning information, also includes: activating the fire extinguishing device inside the low-voltage meter box to extinguish the fire; sending a collaborative protection command to adjacent low-voltage meter boxes via a LoRa wireless module, the command including a fault phase identifier and the maximum allowable temperature rise rate; and the low-voltage meter box receiving the command starting a load balancing algorithm to transfer the fault phase load to the healthy line.

[0047] The specific process of the load balancing algorithm is as follows: The remaining capacity of a healthy line is calculated using the following formula: ;in, For residual current capacity, The rated current of the line. This represents the real-time current of the circuit.

[0048] Distribute the load of the faulty phase proportionally to meet the requirements. The route; If all lines fail to meet the conditions, the fuse protection of the upstream distribution cabinet will be triggered.

[0049] For example, when a low-voltage meter box detects a short circuit and issues a first fire warning, the built-in dry powder fire extinguishing device is immediately activated, triggering an alarm and alerting staff to immediately dispatch maintenance personnel. After the fire extinguishing device is activated, a collaborative protection command is simultaneously broadcast via a LoRa wireless module. This command can be received by adjacent meter boxes within a 500-meter radius of the low-voltage meter box that issued the first fire warning. Upon receiving the command, the adjacent meter box immediately parses the fault phase identifier, suspends its current non-emergency tasks, prioritizes load transfer, and then initiates a load balancing algorithm to calculate the remaining capacity of healthy lines and allocate the load. Specifically, this involves calculating the rated current of a certain line. The line current is 100A. If it is 70A, then It is 30A, which meets the requirements. If the fault load is not specified, then the selected line is considered a healthy line. The dynamic allocation of fault loads is as follows: Assume there are two groups of healthy lines (Group A and Group C, rated current 100A, safety threshold 120A), and the line in Group A... For 30A, C group lines The load is 35A, and the faulty load to be transferred is 80A. First, calculate the weighting ratio of group A. Then calculate the weight ratio of group C. 54. Calculate the allocated load based on the weight ratio of each group. For example, Group A is 0.46 × 80 = 36.8A, and Group C is 0.54 × 80 = 43.2A. Then, substitute the allocated load into the original current for comparison. If the current allocated to Group A is 36.8 + 70 = 106.8A, which is less than 120A, and the current allocated to Group C is 43.2 + 65 = 108.2A, which is less than 120A, then Groups A and C can perform the allocation of faulty loads. Subsequently, continuously monitor the temperature rise rate and current fluctuation of the lines after the transfer. If the temperature rise rate of any line is > 3℃ / min within 5 seconds, immediately terminate the load transfer and roll back to the initial state. If all lines do not meet the requirements of being healthy lines, send a fuse trigger signal to the upper-level distribution cabinet. After receiving the signal, the upper-level distribution cabinet disconnects the bus connection of the faulty phase and records the fault log.

[0050] This application's embodiments avoid cascading failures by employing fault isolation methods, and further extend equipment lifespan and reduce maintenance costs through intelligent load distribution.

[0051] Based on the same technical concept described above, this application also proposes a low-pressure meter box fire early warning device, such as... Figure 2 As shown, the early warning device 200 includes: The first acquisition unit 201 is used to acquire a preset temperature change threshold of the low-pressure meter box within a preset time. The specific process for acquiring the preset temperature change threshold is as described in step 110 above, and will not be repeated here.

[0052] The second acquisition unit 202 is used to acquire the temperature change value of the low-pressure meter box within a preset time. The specific temperature change value acquisition process is as described in step 120 above, and will not be repeated here.

[0053] The judgment unit 203 is used to determine whether the temperature change value is greater than the preset temperature change threshold. If so, it drives the short circuit analysis unit 204 to perform short circuit analysis.

[0054] The short-circuit analysis unit 204 is used to acquire real-time current data within the low-voltage meter box and perform short-circuit analysis based on the real-time current data to generate short-circuit analysis results. The specific short-circuit analysis process is as described in step 130 above, and will not be repeated here.

[0055] Additionally, output unit 205 is used to output fire warning information based on the short-circuit analysis results. The specific process is as described in step 140 above, and will not be repeated here.

[0056] Based on the same technical concept described above, this application also proposes a low-pressure meter box fire early warning system, such as... Figure 3 As shown, the early warning system 300 proposed in this application embodiment includes: The system comprises an input device 301, an output device 302, a processor A303, and a memory A304; wherein the number of processors A303 and memory A304 can be one or more. Figure 3 The following description uses a processor A303 and a memory A304 as an example. The input device 301, output device 302, processor A303, and memory A304 can be connected via a bus or other means. Figure 3 Taking the example of a connection between China and Israel via a bus.

[0057] Specifically, by calling the operation instructions stored in memory A304, processor A303 executes the following steps: Obtain the preset temperature change threshold of the low-pressure meter box within a preset time. Obtain the temperature change value of the low-pressure meter box within a preset time; Determine whether the temperature change value is greater than the preset temperature change threshold. If so, obtain the real-time current data in the low-voltage meter box, and perform short-circuit analysis based on the real-time current data to generate short-circuit analysis results. Based on the short-circuit analysis results, fire early warning information is output.

[0058] Optionally, by calling the operation instructions stored in memory A304, processor A303 is also used to execute any of the embodiments in the corresponding examples of the above-described early warning method.

[0059] Based on the same technical concept described above, this application also proposes an electronic device, such as... Figure 4 As shown, the electronic device 400 includes: a memory B410, a processor B420, and a computer program A411 stored in the memory B410 and executable on the processor B420. When the processor B420 executes the computer program A411, it performs the following steps: Obtain the preset temperature change threshold of the low-pressure meter box within a preset time. Obtain the temperature change value of the low-pressure meter box within a preset time; Determine whether the temperature change value is greater than the preset temperature change threshold. If so, obtain the real-time current data in the low-voltage meter box, and perform short-circuit analysis based on the real-time current data to generate short-circuit analysis results. Based on the short-circuit analysis results, fire early warning information is output.

[0060] Optionally, when processor B420 executes computer program A411, it can implement any of the embodiments in the corresponding examples of the above-described early warning method.

[0061] It should be noted that the electronic device proposed in this application embodiment is a device used to implement the above-mentioned early warning method. Therefore, based on the above-mentioned early warning method proposed in this application embodiment, those skilled in the art can understand the specific implementation method and various variations of the electronic device in this application embodiment. Therefore, how the electronic device specifically implements the above-mentioned early warning method will not be described in detail here. Any electronic device used by those skilled in the art to implement the above-mentioned early warning method is within the scope of protection of this application.

[0062] Based on the same technical concept described above, embodiments of this application also propose a computer-readable storage medium, such as... Figure 5 As shown, the computer-readable storage medium 500 stores a computer program B511, which, when executed by a processor, performs the following steps: Obtain the preset temperature change threshold of the low-pressure meter box within a preset time. Obtain the temperature change value of the low-pressure meter box within a preset time; Determine whether the temperature change value is greater than the preset temperature change threshold. If so, obtain the real-time current data in the low-voltage meter box, and perform short-circuit analysis based on the real-time current data to generate short-circuit analysis results. Based on the short-circuit analysis results, fire early warning information is output.

[0063] Optionally, when the computer program B511 is executed by the processor, it can implement any of the embodiments corresponding to the above-described early warning method.

[0064] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0065] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0066] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0067] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0069] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of this application. It should be understood that the above description is only a specific embodiment of this application and is not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for early warning of fires in low-voltage meter boxes, characterized in that, include: Obtain the preset temperature change threshold of the low-pressure meter box within a preset time. Obtain the temperature change value of the low-pressure meter box within the preset time period; Determine whether the temperature change value is greater than the preset temperature change threshold. If so, obtain the real-time current data in the low-voltage meter box, and perform short-circuit analysis based on the real-time current data to generate short-circuit analysis results. Based on the short-circuit analysis results, fire early warning information is output.

2. The low-voltage meter box fire early warning method according to claim 1, characterized in that, The process of obtaining the temperature change value includes: Obtain the specifications of the low-pressure meter box, the geographical location of the low-pressure meter box, and the installation information of the temperature sensor in the low-pressure meter box; Based on the rule information, geographical location information, and installation information, the corresponding influencing factor is obtained. The influencing factor data is then input into a pre-established temperature mapping model to obtain the ratio between the line temperature inside the low-voltage meter box and the detection temperature of the temperature sensor. Based on the ratio and the corrected detection temperature, the circuit temperature inside the low-voltage meter box is obtained.

3. A method for early warning of low-voltage meter box fires according to claim 2, characterized in that, The process of obtaining the temperature change value also includes: Based on the current line load rate and ambient heat radiation intensity of the low-voltage meter box, the ratio relationship output by the temperature mapping model is corrected, and the corrected ratio relationship is used for subsequent processing.

4. A method for early warning of low-voltage meter box fires according to claim 2, characterized in that, The correction process for the detected temperature includes: The temperature detected by the temperature sensor is corrected based on the size parameters, heat exchange efficiency parameters, and environmental parameters of the low-pressure meter box to generate a first corrected temperature. Based on the current use of the low-pressure meter box, the first correction temperature is corrected to generate a second correction temperature, and the second correction temperature is used as the corrected detection temperature for subsequent processing. The formula for calculating the first correction temperature is as follows: in, The first correction temperature, The temperature detected by the temperature sensor. This is the ambient temperature compensation coefficient. For ambient temperature, This is the airflow velocity correction factor. air velocity, This is a size correction factor. These are the dimensional parameters of the low-voltage meter box. For the set standard volume, This is the heat exchange correction factor. For the set standard heat exchange efficiency, This is a parameter for heat exchange efficiency. This is the humidity correction factor. This represents the actual ambient humidity. Standard ambient humidity; The formula for calculating the second correction temperature is: in, The second correction temperature, The material attenuation constant of the cable insulation layer. This refers to the service life.

5. A method for early warning of low-voltage meter box fires according to any one of claims 1-4, characterized in that, The short-circuit analysis process includes: Obtain the rated current threshold of the low-voltage meter box; Determine whether the real-time current data exceeds the rated current threshold continuously within a preset time. If so, analyze the current waveform characteristics and detect whether there is an abnormal harmonic distortion rate or current mutation rate. If so, determine that there is a short circuit. Otherwise, calculate the temperature change rate of two adjacent temperature change values ​​and determine whether the temperature change rate is greater than the preset temperature change rate threshold. If so, and no abnormal harmonic distortion rate or current mutation rate is detected, determine that there is poor contact or local overload.

6. A method for early warning of low-voltage meter box fires according to claim 5, characterized in that, The step of outputting fire early warning information based on the short-circuit analysis results includes: If the short-circuit analysis results indicate the presence of a short circuit, then disconnect the power output terminal of the low-voltage meter box and output the first fire warning information; If the short-circuit analysis result indicates that there is no short circuit, perform fire early warning analysis and output the corresponding second fire early warning information.

7. A method for early warning of low-voltage meter box fires according to claim 6, characterized in that, The method of outputting fire early warning information based on the short-circuit analysis results also includes: After outputting the first fire warning information, a collaborative protection command is sent to the adjacent low-voltage meter box to enable the adjacent low-voltage meter box to start the load balancing algorithm and transfer the load of the faulty phase to the healthy line. The collaborative protection command includes a fault phase identifier and a maximum permissible temperature rise rate; The load balancing algorithm is specifically as follows: Calculate the remaining capacity of the healthy lines; The faulty phase load is proportionally distributed to healthy lines that have a remaining capacity greater than or equal to 20% of their rated capacity. If none of the healthy circuits meet the requirement that the remaining capacity is greater than or equal to 20% of its rated capacity, the fuse protection of the upstream distribution cabinet will be triggered.

8. A low-voltage meter box fire early warning device, characterized in that, include: The first acquisition unit is used to acquire the preset temperature change threshold of the low-pressure meter box within a preset time. The second acquisition unit is used to acquire the temperature change value of the low-pressure meter box within the preset time. The judgment unit is used to determine whether the temperature change value is greater than the preset temperature change threshold. If it is, the short circuit analysis unit is driven to perform short circuit analysis. The short-circuit analysis unit is used to acquire real-time current data in the low-voltage meter box, perform short-circuit analysis based on the real-time current data, and generate short-circuit analysis results. And an output unit, used to output fire warning information based on the short-circuit analysis results.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the low-pressure meter box fire early warning method according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the low-pressure meter box fire early warning method according to any one of claims 1-7.