Cable branch box health prediction method and system based on multi-parameter fusion
By using a multi-parameter fusion-based cable branch box health prediction method, which combines temperature and temperature rise rate to identify anomalies and adjusts heat dissipation devices and power load, the problem of low prediction accuracy in existing technologies is solved, and precise health prediction and energy consumption control of cable branch boxes are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- YANTENG ELECTRIC TECH CO LTD
- Filing Date
- 2025-12-23
- Publication Date
- 2026-04-28
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing technologies rely on a single monitoring method to monitor the environmental status of power distribution cable branch boxes, which cannot promptly identify abnormal conditions based on real-time changes in operational data, resulting in low prediction accuracy.
A health prediction method for cable branch boxes based on multi-parameter fusion is adopted. By collecting data on cable temperature, power load and operating time, and combining temperature ratio and temperature rise rate, abnormal conditions are judged, the speed of heat dissipation device and power load are adjusted, the danger level is assessed and accurate prediction is made.
It enables accurate health prediction of cable branch boxes, improves prediction accuracy, reduces the risk of power outages, reduces ineffective inspections, and improves operational efficiency.
Smart Images
Figure CN121939640A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the technical field of power equipment health prediction, and in particular to a method and system for predicting the health of cable branch boxes based on multi-parameter fusion. Background Technology
[0002] Cable distribution boxes are key equipment in power distribution systems used for branching, connecting, and distributing electrical energy from cable lines. Widely used outdoors, their main function is to distribute the power from the main cable to multiple branch cables. They also possess certain protection and monitoring functions. Their core functions include power distribution, cable connection, safety protection, and condition monitoring. Common faults in cable distribution boxes mainly include overheating of cable joints, insulation faults, switch faults, and corrosion damage. In particular, during operation, poor contact or aging insulation at cable joints can cause overheating, leading to increased local resistance and temperature, which can potentially cause a fire in severe cases.
[0003] Patent document CN18746325A discloses an environmental status monitoring device, system, and method for a power distribution cable branch box. The method includes: an intelligent monitoring module collecting environmental status data of the power distribution cable branch box in real time; the intelligent monitoring module analyzing the collected environmental status data to determine whether the environmental status data is abnormal; if the environmental status data is abnormal, it reporting it to a cloud server via a network communication module; and the cloud server analyzing and processing the abnormal data and outputting alarm information.
[0004] Existing technologies often rely on a single monitoring method to monitor the environmental status of power distribution cable branch boxes. As a result, during the monitoring process, it is impossible to promptly identify abnormal states based on real-time changes in operating data and obtain prediction results in real time based on the adjusted operating status, leading to low accuracy in prediction under different changing conditions. Summary of the Invention
[0005] To address this, the present invention provides a method and system for predicting the health of cable distribution boxes based on multi-parameter fusion, which solves the technical problem that existing technologies often use a single monitoring method to monitor the environmental status of distribution cable distribution boxes, resulting in the inability to promptly identify abnormal states based on real-time changing operating data and obtain prediction results in real time based on the adjusted operating status, leading to low prediction accuracy under different changing conditions.
[0006] To achieve the above objectives, this invention provides a method for predicting the health of cable branch boxes based on multi-parameter fusion, comprising: Operating data of the cable branch box is collected at preset time intervals; the operating data includes cable temperature, power load, and operating time. Based on the fact that the cable temperature at any given moment is greater than the preset standard cable temperature and the cable temperature at any given moment is greater than the cable temperature at the previous moment, the cable temperature at any given moment is determined to be the first abnormal cable temperature. Based on the ratio of the first abnormal cable temperature at any given moment to the cable temperature at the previous moment, the first endpoint value of the range of the first speed adjustment coefficient is determined, so as to adjust the speed of the heat dissipation device to the first speed according to the first speed adjustment coefficient. If the cable temperature rise rate in any time period is greater than the preset standard temperature rise rate, the cable temperature rise rate in any time period is determined to be an abnormal cable temperature rise rate. The second endpoint value of the range of the second speed adjustment coefficient is determined based on the square of the ratio of the abnormal cable temperature rise rate in any time period to the cable temperature rise rate in the previous time period, so as to adjust the speed of the heat dissipation device to the second speed according to the second speed adjustment coefficient. The time interval for collecting operational data is adjusted according to the rate of change of abnormal cable temperature rise, so that the operational data of the cable branch box can be collected according to the adjusted time interval. Based on the abnormal cable temperature rise rate, the cable temperature at any given moment is determined as the second abnormal cable temperature, and the remaining alarm time is determined based on the difference between the second abnormal cable temperature and the target cable temperature. Assess the hazard level of the cable branch box based on the remaining alarm time; Determine the alarm level based on the aforementioned hazard level; The system displays the cable temperature, remaining time, hazard level, and alarm level in the cable branch box, and receives user data query commands.
[0007] Furthermore, the preset time interval is any time period, and the cable temperature rise rate for any time period is calculated based on the ratio of the difference in cable temperature change for any time period to the length of the corresponding time period.
[0008] Furthermore, the first speed adjustment coefficient is taken within the range of the first endpoint value to the ratio of the first speed of the heat dissipation device to the standard speed of the heat dissipation device; The second speed adjustment coefficient is taken from the second endpoint value to the ratio of the second speed of the heat dissipation device to the standard speed of the heat dissipation device.
[0009] Furthermore, the rate of change of the abnormal cable temperature rise rate is the ratio of the difference between the abnormal cable temperature rise rate in any time period and the cable temperature rise rate in the previous time period to the cable temperature rise rate in the previous time period.
[0010] Furthermore, adjusting the time interval for collecting operational data based on the rate of change of the abnormal cable temperature rise includes: When the rate of change of the abnormal cable temperature rise rate is within the standard rate of change range, the time interval for collecting operational data is adjusted to the first time interval. When the rate of change of the abnormal cable temperature rise exceeds the standard rate of change range, the time interval for collecting operational data is adjusted to a second time interval. Wherein, the first time interval is the product of the first time interval adjustment coefficient and the preset time interval, and the second time interval is the product of the second time interval adjustment coefficient and the preset time interval.
[0011] Furthermore, the remaining alarm time for the second abnormal cable temperature is the ratio of the difference between the second abnormal cable temperature and the preset target cable temperature to the cable temperature rise rate corresponding to any given time period.
[0012] Furthermore, it also includes adjusting the power load of the cable branch box according to the abnormal cable temperature rise rate, wherein the power load is inversely related to the abnormal cable temperature rise rate.
[0013] Furthermore, it also includes determining the geographical location of the cable branch box using a GPS positioning system.
[0014] Further, the assessment of the hazard level of the cable branch box based on the remaining alarm time includes: When the ratio of the remaining alarm time to the preset standard remaining alarm time is greater than 1, the cable temperature of the cable branch box is assessed as a safe level. When the ratio of the remaining alarm time to the preset standard remaining alarm time is within the range of (0.5, 1), the cable temperature of the cable branch box is assessed as a pre-hazard level. When the ratio of the remaining alarm time to the preset standard remaining alarm time is within the range of [0, 0.5], the cable temperature of the cable branch box is assessed as a severe danger level.
[0015] To achieve the above objectives, the present invention provides a prediction system applied to any of the cable branch box health prediction methods based on multi-parameter fusion, comprising: The data acquisition module is used to acquire operating data of the cable branch box at preset time intervals; the operating data includes cable temperature, power load, and operating time. The judgment module, connected to the acquisition module, is used to determine that the cable temperature at any given time is a first abnormal cable temperature based on the fact that the cable temperature at any given time is greater than a preset standard cable temperature and that the cable temperature at any given time is greater than the cable temperature at the previous time. It is also used to determine that the cable temperature rise rate at any given time period is an abnormal cable temperature rise rate if the cable temperature rise rate at any given time period is greater than a preset standard temperature rise rate. A control module, connected to the judgment module, is used to adjust the rotation speed of the heat dissipation device to a first rotation speed according to the temperature of the first abnormal cable, and to adjust the rotation speed of the heat dissipation device to a second rotation speed according to the temperature rise rate of the abnormal cable, and to adjust the power load of the cable branch box according to the temperature rise rate of the abnormal cable. An adjustment module, connected to the control module, adjusts the time interval for collecting operating data according to the rate of change of abnormal cable temperature rise, so as to collect operating data of the cable branch box according to the adjusted time interval; The determination module, connected to the adjustment module, is used to determine the cable temperature at any given moment as the second abnormal cable temperature based on the abnormal cable temperature rise rate, and to determine the remaining alarm time based on the difference between the second abnormal cable temperature and the target cable temperature. An assessment module, connected to the determination module, is used to assess the hazard level of the cable branch box based on the remaining alarm time. An alarm module, connected to the assessment module, is used to determine the alarm level based on the hazard level; A positioning module, connected to the acquisition module, is used to determine the geographical location of the cable branch box via a GPS positioning system; The human-computer interaction module is connected to the acquisition module, judgment module, control module, adjustment module, determination module, evaluation module, alarm module, and positioning module, respectively, and is used to display the cable temperature, remaining time, danger level, and alarm level in the cable branch box, as well as receive data query commands from users.
[0016] Compared with existing technologies, the advantages of this invention are as follows: It improves the flexibility of data acquisition by using a preset time interval; it achieves hierarchical classification of abnormal data through step-by-step judgment of cable temperature; it determines the cable temperature at any given time as the first abnormal cable temperature based on the cable temperature being greater than a preset standard cable temperature and also greater than the cable temperature at the previous time, thus preliminarily identifying the abnormal cable temperature; it achieves accurate judgment of abnormal temperatures by determining the cable temperature rise rate at any given time period as the abnormal cable temperature rise rate based on the cable temperature rise rate being greater than a preset standard temperature rise rate, and identifying the cable temperature corresponding to the abnormal cable temperature rise rate as the second abnormal cable temperature; it further determines the second abnormal cable temperature based on the first abnormal cable temperature, and by step-by-step judgment of different degrees of abnormal cable temperatures, it is beneficial for health prediction and control of the real-time changing operation of cable branch boxes, improving the accuracy of health prediction; by adjusting the rotation speed of the heat dissipation device to a first speed according to the first abnormal cable temperature, it can dissipate heat more quickly when the cable temperature is too high; and it achieves accurate judgment of abnormal cable temperatures based on the abnormal cable temperature rise rate. The system adjusts the rotation speed of the heat dissipation device to a second speed to further accelerate heat dissipation when the cable temperature rise rate is too fast. By adjusting the rotation speed of the heat dissipation device in stages, precise control is achieved, effectively dissipating heat while controlling the energy consumption of electrical equipment within the cable branch box. The system also adjusts the time interval for collecting operational data based on the rate of change of abnormal cable temperature rise, increasing the frequency of data collection and enabling faster and more accurate health prediction of the cable branch box. Furthermore, the system re-determines the abnormal cable temperature and abnormal cable temperature rise rate based on the adjusted time interval data, improving prediction accuracy. The remaining alarm time is determined by the difference between the second abnormal cable temperature and the target cable temperature, enabling real-time and accurate health prediction of the cable branch box under more severe abnormal cable temperature conditions. Assessing the hazard level of the cable branch box based on the remaining alarm time facilitates real-time acquisition of health prediction results. Determining the alarm level based on the hazard level enables early warning, shifting from "post-fault repair" to "pre-abnormal intervention," reducing the risk of power outages. Finally, displaying the cable temperature, remaining time, hazard level, and alarm level in the cable branch box ensures precise operation, reduces ineffective inspections, and improves operational efficiency.
[0017] In particular, by determining the range of values for the first speed adjustment coefficient and the second speed adjustment coefficient, precise adjustment of the radiator speed under abnormal cable temperatures can be achieved.
[0018] In particular, by adjusting the time interval of collecting operational data according to the rate of change of abnormal cable temperature rise, the frequency of data collection is increased, and the health prediction of cable branch boxes can be performed more quickly and accurately. Then, based on the operational data of the adjusted time interval, the abnormal cable temperature and abnormal cable temperature rise rate are re-determined, thereby improving the accuracy of the prediction.
[0019] In particular, by calculating the remaining alarm time based on the difference between the temperature of the second abnormal cable and the temperature of the target cable, accurate health prediction of the cable branch box can be achieved in real time.
[0020] In particular, by adjusting the power load of the cable branch box according to the abnormal cable temperature rise rate, the current decreases proportionally, the line loss decreases quadratically, and the cable heat generation is reduced, which can effectively reduce the temperature rise rate and prevent the cable temperature from continuing to rise sharply and causing accidents.
[0021] In particular, by determining the geographical location of the cable branch box, the faulty cable branch box can be accurately located.
[0022] In particular, assessing the hazard level of cable branch boxes based on the remaining alarm time facilitates accurate health prediction results for cable branch boxes. Attached Figure Description
[0023] Figure 1 This is a flowchart of a cable branch box health prediction method based on multi-parameter fusion in an embodiment of the present invention; Figure 2 This is a flowchart illustrating the determination of the temperature of the first abnormal cable in a cable branch box health prediction method based on multi-parameter fusion, as described in an embodiment of the present invention. Figure 3 This is a schematic diagram of a cable branch box health prediction system based on multi-parameter fusion in an embodiment of the present invention; Figure 4 This is a schematic diagram of the judgment module structure of a cable branch box health prediction system based on multi-parameter fusion in an embodiment of the present invention; Figure 5 This is a schematic diagram of the control module structure of a cable branch box health prediction system based on multi-parameter fusion in an embodiment of the present invention; Reference numerals in the attached diagram: 1. Acquisition module; 2. Judgment module; 3. Control module; 4. Adjustment module; 5. Determination module; 6. Evaluation module; 7. Alarm module; 8. Positioning module; 9. Human-computer interaction module; 21. First judgment unit; 22. Second judgment unit; 31. First control unit; 32. Second control unit; 33. Third control unit. Detailed Implementation
[0024] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are only for explaining the present invention and are not intended to limit the present invention.
[0025] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.
[0026] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.
[0027] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.
[0028] Please see Figure 1 As shown, it is a flowchart of a cable branch box health prediction method based on multi-parameter fusion in an embodiment of the present invention; Please see Figure 2 As shown, it is a flowchart of the method for determining the temperature of the first abnormal cable in a cable branch box health prediction method based on multi-parameter fusion in an embodiment of the present invention.
[0029] This invention provides a method for predicting the health of cable branch boxes based on multi-parameter fusion, comprising: S1, collect the operating data of the cable branch box at preset time intervals; the operating data includes cable temperature, power load, and operating time; S2, determining the temperature of the first abnormal cable based on the first judgment condition, and adjusting the rotation speed of the heat dissipation device to a first rotation speed based on the temperature of the first abnormal cable, including: Based on the fact that the cable temperature at any given moment is greater than the preset standard cable temperature and the cable temperature at any given moment is greater than the cable temperature at the previous moment, the cable temperature at any given moment is determined to be the first abnormal cable temperature. Based on the ratio of the first abnormal cable temperature at any given moment to the cable temperature at the previous moment, the first endpoint value of the range of the first speed adjustment coefficient is determined, so as to adjust the speed of the heat dissipation device to the first speed according to the first speed adjustment coefficient. S3, determining the abnormal cable temperature rise rate based on the second judgment condition, and adjusting the rotation speed of the heat dissipation device to the second rotation speed according to the abnormal cable temperature rise rate, including: If the cable temperature rise rate in any time period is greater than the preset standard temperature rise rate, the cable temperature rise rate in any time period is determined to be an abnormal cable temperature rise rate. The second endpoint value of the range of the second speed adjustment coefficient is determined based on the square of the ratio of the abnormal cable temperature rise rate in any time period to the cable temperature rise rate in the previous time period, so as to adjust the speed of the heat dissipation device to the second speed according to the second speed adjustment coefficient. S4, adjust the time interval for collecting operating data according to the rate of change of abnormal cable temperature rise, so as to collect the operating data of the cable branch box according to the adjusted time interval; S5, based on the abnormal cable temperature rise rate, determine the cable temperature at any given moment as the second abnormal cable temperature, and determine the remaining alarm time based on the difference between the second abnormal cable temperature and the target cable temperature. S6, assess the hazard level of the cable branch box based on the remaining alarm time; S7, determine the alarm level based on the aforementioned hazard level; S8 displays the cable temperature, remaining time, hazard level, and alarm level in the cable branch box, and receives data query commands from the user.
[0030] By employing preset time intervals, the flexibility of data acquisition is improved; by progressively judging cable temperatures, abnormal data is classified; by judging the first abnormal cable temperature based on the first judgment condition, the abnormal cable temperature is initially determined; by judging the abnormal cable temperature rate based on the second judgment condition, the cable temperature corresponding to the abnormal cable temperature rate is determined as the second abnormal cable temperature; further, based on the first abnormal cable temperature, the second abnormal cable temperature is determined; by progressively judging different degrees of abnormal cable temperatures, it is beneficial to make health predictions and controls for the real-time changing operation of cable branch boxes, improving the accuracy of health predictions; by adjusting the speed of the heat dissipation device to the first speed based on the first abnormal cable temperature, heat dissipation can be accelerated when the cable temperature is too high; by adjusting the speed of the heat dissipation device to the second speed based on the abnormal cable temperature rise rate, heat dissipation can be further accelerated when the cable temperature rise rate is too fast. By adjusting the speed of the heat dissipation device in stages, the system can achieve... Precise adjustment of the heat dissipation device effectively dissipates heat while controlling the energy consumption of electrical equipment within the cable branch box. By adjusting the time interval for collecting operational data based on the rate of change of abnormal cable temperature rise, the frequency of data collection is increased, enabling faster and more accurate health prediction of the cable branch box. Furthermore, the abnormal cable temperature and abnormal temperature rise rate are re-determined based on the operational data from the adjusted time interval, improving prediction accuracy. The remaining alarm time is determined by the difference between the second abnormal cable temperature and the target cable temperature, enabling real-time accurate health prediction of the cable branch box even under more severe abnormal cable temperature conditions. Assessing the hazard level of the cable branch box based on the remaining alarm time facilitates real-time acquisition of health prediction results. Determining the alarm level based on the hazard level enables early warning, shifting from "post-fault repair" to "pre-abnormal intervention," reducing the risk of power outages. Displaying the cable temperature, remaining time, hazard level, and alarm level within the cable branch box ensures precise operation, reduces ineffective inspections, and improves operational efficiency.
[0031] Specifically, determining the first abnormal cable temperature based on the first judgment condition includes: The first judgment condition is that the cable temperature at any given time is greater than the preset standard cable temperature and the cable temperature at any given time is greater than the cable temperature at the previous time. If the cable temperature at any given moment is greater than the preset standard cable temperature and the cable temperature at any given moment is greater than the cable temperature at the previous moment, it is determined that the cable temperature at any given moment is too high and is identified as the first abnormal cable temperature.
[0032] In this embodiment, the preset standard cable temperature is denoted as Ths, the real-time cable temperature at time j is denoted as Tim(j), and the real-time cable temperature at time j-1 is denoted as Tim(j-1). When Tim(j) > Ths and Tim(j) > Tim(j-1), the cable temperature is determined to be too high and the cable temperature is identified as the first abnormal cable temperature.
[0033] The first abnormal cable temperature is determined by the fact that the cable temperature at any given time exceeds the preset standard cable temperature and the cable temperature at any given time exceeds the cable temperature at the previous time. Under these two conditions, the first abnormal cable temperature is initially determined, thus achieving accurate judgment of abnormal temperature.
[0034] Specifically, determining the abnormal cable temperature rise rate based on the second judgment condition includes: The second judgment condition is that the cable temperature rise rate is greater than the preset standard temperature rise rate in any time period. The preset time interval is any time period. The temperature rise rate of the cable within the time period is calculated based on the ratio of the difference in cable temperature change within any time period to the length of the corresponding time period. If the rate of temperature rise of the cable exceeds the preset standard rate of temperature rise within any time period, the rate of temperature rise of the cable within that time period is determined to be an abnormal rate of temperature rise.
[0035] In this embodiment, the preset target cable temperature is denoted as... Then, calculate the difference between the second abnormal cable temperature and the target cable temperature, denoted as . ; The time corresponding to the second abnormal cable temperature is denoted as . The time period corresponding to the second abnormal cable temperature is the [missing information]. Time period, denoted as Calculations yielded Then, the rate of temperature rise of the cable during the j-th time period is calculated and denoted as . ; When the If the rate of temperature rise of the cable exceeds the preset standard rate of temperature rise within a certain time period, the rate of temperature rise is judged to be abnormal.
[0036] By judging the abnormal cable temperature rise rate based on the second judgment condition, further judgment can be made on abnormal situations where the cable temperature rises too quickly.
[0037] Specifically, the first speed adjustment coefficient is taken within the range of the first endpoint value to the ratio of the first speed of the heat dissipation device to the standard speed of the heat dissipation device. The second speed adjustment coefficient is taken from the second endpoint value to the ratio of the second speed of the heat dissipation device to the standard speed of the heat dissipation device.
[0038] By determining the range of values for the first speed adjustment coefficient and the second speed adjustment coefficient, precise adjustment of the radiator speed can be achieved under abnormal cable temperatures.
[0039] In this embodiment, when the cable temperature is determined to be a first abnormal cable temperature, the rotation speed of the heat dissipation device is adjusted to a first rotation speed based on the first abnormal cable temperature, and the first rotation speed is recorded as _____. ,but ,in, This is the standard rotation speed of the heat dissipation device. This is the first speed adjustment coefficient. This is the first rotational speed of the heat dissipation device; In this embodiment, when the cable temperature is determined to be the second abnormal cable temperature, the rotation speed of the heat dissipation device is adjusted to the second rotation speed according to the temperature rise rate corresponding to the second abnormal cable temperature, and the second rotation speed is recorded as . ,but ,in, This is the second speed adjustment coefficient. This is the second rotational speed of the heat dissipation device.
[0040] By adjusting the rotation speed of the heat dissipation device to the first speed according to the first abnormal cable temperature, heat dissipation can be achieved faster when the cable temperature is too high. By adjusting the rotation speed of the heat dissipation device to the second speed according to the abnormal cable temperature rise rate, heat dissipation can be further accelerated when the cable temperature rise rate is too fast. By adjusting the rotation speed of the heat dissipation device in stages, precise adjustment of the heat dissipation device is achieved, effectively dissipating heat while controlling the energy consumption of electrical equipment in the cable branch box.
[0041] Specifically, the rate of change of the abnormal cable temperature rise rate is the ratio of the difference between the abnormal cable temperature rise rate in any time period and the cable temperature rise rate in the previous time period to the cable temperature rise rate in the previous time period.
[0042] The adjustment of the time interval for collecting operational data based on the rate of change of abnormal cable temperature rise includes: When the rate of change of the abnormal cable temperature rise rate is within the standard rate of change range, the time interval for collecting operational data is adjusted to the first time interval. When the rate of change of the abnormal cable temperature rise exceeds the standard rate of change range, the time interval for collecting operational data is adjusted to a second time interval. Wherein, the first time interval is the product of the first time interval adjustment coefficient and the preset time interval, and the second time interval is the product of the second time interval adjustment coefficient and the preset time interval.
[0043] Specifically, the greater the rate of change of abnormal cable temperature rise, the shorter the time interval for data collection, thus enabling real-time prediction of abnormal cable temperature and temperature changes, achieving timely, effective, and accurate prediction.
[0044] By adjusting the time interval for collecting operational data based on the rate of change of abnormal cable temperature rise, the frequency of data collection is increased, enabling faster and more accurate health prediction of cable branch boxes. Furthermore, based on the operational data from the adjusted time interval, the abnormal cable temperature and abnormal cable temperature rise rate are re-determined, thereby improving the accuracy of the prediction.
[0045] Specifically, the remaining alarm time for the second abnormal cable temperature is the ratio of the difference between the second abnormal cable temperature and the preset target cable temperature to the cable temperature rise rate corresponding to any time period.
[0046] In this embodiment, the remaining alarm time for the second abnormal cable temperature at time j is calculated and denoted as . .
[0047] The remaining alarm time is calculated based on the difference between the temperature of the second abnormal cable and the temperature of the target cable, enabling real-time and accurate health prediction of the cable branch box.
[0048] Specifically, it also includes adjusting the power load of the cable branch box according to the abnormal cable temperature rise rate, wherein the power load is inversely related to the abnormal cable temperature rise rate.
[0049] The power load of the cable branch box is adjusted according to the abnormal cable temperature rise rate: When the abnormal cable temperature rise rate is within the first temperature rise rate change range, the power load is adjusted to the first power load; When the abnormal cable temperature rise rate is within the second temperature rise rate variation range, the second controller adjusts the power load to the second power load. Wherein, the first power load is the product of a first power load adjustment coefficient and a preset standard power load of the cable branch box, and the second power load is the product of a second power load adjustment coefficient and a preset standard power load of the cable branch box.
[0050] In this embodiment, when the cable temperature in the cable branch box has reached the second abnormal cable temperature, in order to prevent the cable temperature from continuing to rise sharply and causing an accident, the power load of the cable branch box is adjusted according to the abnormal cable temperature rise rate: when At that time, adjust the power load to the first power load; when At that time, adjust the power load to the second power load; The first power load is in, The standard power load of the preset cable branch box, The preset value is the standard adjustment coefficient for power load. This is the first regulation coefficient for power load. ; The second power load is ,in, The standard power load of the preset cable branch box, This is the second regulation coefficient for power load. .
[0051] By adjusting the power load of the cable branch box according to the abnormal cable temperature rise rate, the current decreases proportionally, the line loss decreases quadratically, and the cable heat generation is reduced. This effectively reduces the temperature rise rate and prevents the cable temperature from continuing to rise sharply, which could lead to an accident.
[0052] Specifically, assessing the hazard level of the cable branch box based on the remaining alarm time includes: When the ratio of the remaining alarm time to the preset standard remaining alarm time is greater than 1, the cable temperature of the cable branch box is assessed as a safe level. When the ratio of the remaining alarm time to the preset standard remaining alarm time is within the range of (0.5, 1), the cable temperature of the cable branch box is assessed as a pre-hazard level. When the ratio of the remaining alarm time to the preset standard remaining alarm time is within the range of [0, 0.5], the cable temperature of the cable branch box is assessed as a severe danger level.
[0053] In this embodiment, a preset standard remaining alarm time is defined as follows: , when At that time, the cable temperature in the cable branch box was assessed as being at a safe level; when At that time, the cable temperature in the cable branch box was assessed as a pre-hazard level; when At that time, the cable temperature in the cable branch box was assessed as a severe hazard level.
[0054] Assessing the hazard level of cable branch boxes based on the remaining alarm time facilitates real-time health prediction results for cable branch boxes.
[0055] Specifically, it also includes determining that the cable branch box current is overloaded when the cable current at any given time is greater than the maximum value of the preset standard cable current, and remotely controlling the circuit breaker to cut off the circuit; or, based on the assessment result that the cable temperature of the cable branch box is at a severe danger level, remotely controlling the circuit to cut off the circuit. In this embodiment, when the cable branch box current is determined to be overloaded or the assessment result is at a severe danger level, it is set to remotely control the circuit to cut off the circuit or automatically cut off the circuit.
[0056] Specifically, this also includes determining the geographical location of the cable branch box using a GPS positioning system.
[0057] By determining the geographical location of the cable branch box, the faulty cable branch box can be accurately located.
[0058] Please see Figure 3 As shown, it is a schematic diagram of a cable branch box health prediction system based on multi-parameter fusion in an embodiment of the present invention; Please see Figure 4 As shown, it is a schematic diagram of the judgment module structure of a cable branch box health prediction system based on multi-parameter fusion in an embodiment of the present invention. Please see Figure 5 As shown, it is a schematic diagram of the control module structure of a cable branch box health prediction system based on multi-parameter fusion in an embodiment of the present invention.
[0059] Specifically, the cable branch box health prediction system based on multi-parameter fusion includes: The data acquisition module 1 is used to acquire the operating data of the cable branch box at preset time intervals; the operating data includes cable temperature, power load, and operating time. The judgment module 2, connected to the acquisition module, includes a first judgment unit 21 and a second judgment unit 22, wherein the first judgment unit is used to judge the temperature of the first abnormal cable according to a first judgment condition, and the second judgment unit is used to judge the temperature rise rate of the abnormal cable according to a second judgment condition. The control module 3, connected to the judgment module, includes a first control unit 31, a second control unit 32, and a third control unit 33. The first control unit is used to adjust the rotation speed of the heat dissipation device to a first rotation speed according to the temperature of the first abnormal cable. The second control unit is used to adjust the rotation speed of the heat dissipation device to a second rotation speed according to the temperature rise rate of the abnormal cable. The third control unit is used to adjust the power load of the cable branch box according to the temperature rise rate of the abnormal cable. Adjustment module 4, connected to the control module, adjusts the time interval for collecting operating data according to the rate of change of abnormal cable temperature rise, so as to collect operating data of the cable branch box according to the adjusted time interval; The determination module 5, connected to the adjustment module, is used to determine the cable temperature at any given moment as the second abnormal cable temperature based on the abnormal cable temperature rise rate, and to determine the remaining alarm time based on the difference between the second abnormal cable temperature and the target cable temperature. Assessment module 6, connected to the determination module, is used to assess the hazard level of the cable branch box based on the remaining alarm time; Alarm module 7, connected to the assessment module, is used to determine the alarm level based on the hazard level; The positioning module 8 is connected to the acquisition module and is used to determine the geographical location of the cable branch box through the GPS positioning system; The human-computer interaction module 9 is connected to the acquisition module, judgment module, control module, adjustment module, determination module, evaluation module, alarm module, and positioning module, respectively, and is used to display the cable temperature, remaining time, danger level, and alarm level in the cable branch box, as well as receive data query commands from users.
[0060] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.
Claims
1. A method for predicting the health of cable branch boxes based on multi-parameter fusion, characterized in that, include: The operation data of the cable branch box is collected at preset time intervals; the operation data includes cable temperature, power load, and operation time. Based on the fact that the cable temperature at any given moment is greater than the preset standard cable temperature and the cable temperature at any given moment is greater than the cable temperature at the previous moment, the cable temperature at any given moment is determined to be the first abnormal cable temperature. Based on the ratio of the first abnormal cable temperature at any given moment to the cable temperature at the previous moment, the first endpoint value of the range of the first speed adjustment coefficient is determined, so as to adjust the speed of the heat dissipation device to the first speed according to the first speed adjustment coefficient. If the cable temperature rise rate in any time period is greater than the preset standard temperature rise rate, the cable temperature rise rate in any time period is determined to be an abnormal cable temperature rise rate. The second endpoint value of the range of the second speed adjustment coefficient is determined based on the square of the ratio of the abnormal cable temperature rise rate in any time period to the cable temperature rise rate in the previous time period, so as to adjust the speed of the heat dissipation device to the second speed according to the second speed adjustment coefficient. The time interval for collecting operational data is adjusted according to the rate of change of abnormal cable temperature rise, so that the operational data of the cable branch box can be collected according to the adjusted time interval. Based on the abnormal cable temperature rise rate, the cable temperature at any given moment is determined as the second abnormal cable temperature, and the remaining alarm time is determined based on the difference between the second abnormal cable temperature and the target cable temperature. Assess the hazard level of the cable branch box based on the remaining alarm time; Determine the alarm level based on the aforementioned hazard level; The system displays the cable temperature, remaining time, hazard level, and alarm level in the cable branch box, and receives user data query commands.
2. The cable branch box health prediction method based on multi-parameter fusion according to claim 1, characterized in that, The preset time interval is any time period. The cable temperature rise rate for any time period is calculated based on the ratio of the difference in cable temperature change for any time period to the length of the corresponding time period.
3. The cable branch box health prediction method based on multi-parameter fusion according to claim 2, characterized in that, The first speed adjustment coefficient is taken within the range of the first endpoint value to the ratio of the first speed of the heat dissipation device to the standard speed of the heat dissipation device. The second speed adjustment coefficient is taken as a value within the range of the second endpoint value to the ratio of the second speed of the heat dissipation device to the standard speed of the heat dissipation device.
4. The cable branch box health prediction system based on multi-parameter fusion according to claim 3, characterized in that, The rate of change of the abnormal cable temperature rise rate is the ratio of the difference between the abnormal cable temperature rise rate in any time period and the cable temperature rise rate in the previous time period to the cable temperature rise rate in the previous time period.
5. The cable branch box health prediction system based on multi-parameter fusion according to claim 4, characterized in that, The adjustment of the time interval for collecting operational data based on the rate of change of abnormal cable temperature rise includes: When the rate of change of the abnormal cable temperature rise rate is within the standard rate of change range, the time interval for collecting operational data is adjusted to the first time interval. When the rate of change of the abnormal cable temperature rise exceeds the standard rate of change range, the time interval for collecting operational data is adjusted to a second time interval. Wherein, the first time interval is the product of the first time interval adjustment coefficient and the preset time interval, and the second time interval is the product of the second time interval adjustment coefficient and the preset time interval.
6. The cable branch box health prediction system based on multi-parameter fusion according to claim 5, characterized in that, The remaining alarm time for the second abnormal cable temperature is the ratio of the difference between the second abnormal cable temperature and the preset target cable temperature to the cable temperature rise rate corresponding to any time period.
7. The cable branch box health prediction system based on multi-parameter fusion according to claim 6, characterized in that, It also includes adjusting the power load of the cable branch box according to the abnormal cable temperature rise rate, wherein the power load is inversely related to the abnormal cable temperature rise rate.
8. The cable branch box health prediction system based on multi-parameter fusion according to claim 7, characterized in that, It also includes determining the geographical location of the cable branch box using a GPS positioning system.
9. The cable branch box health prediction system based on multi-parameter fusion according to claim 8, characterized in that, The assessment of the hazard level of the cable branch box based on the remaining alarm time includes: When the ratio of the remaining alarm time to the preset standard remaining alarm time is greater than 1, the cable temperature of the cable branch box is assessed as a safe level. When the ratio of the remaining alarm time to the preset standard remaining alarm time is within the range of (0.5, 1), the cable temperature of the cable branch box is assessed as a pre-hazard level. When the ratio of the remaining alarm time to the preset standard remaining alarm time is within the range of [0, 0.5], the cable temperature of the cable branch box is assessed as a severe danger level.
10. A prediction system applied to the cable branch box health prediction method based on multi-parameter fusion as described in any one of claims 1-9, characterized in that, include: The data acquisition module is used to acquire operating data of the cable branch box at preset time intervals; the operating data includes cable temperature, power load, and operating time. The judgment module, connected to the acquisition module, is used to determine that the cable temperature at any given time is a first abnormal cable temperature based on the fact that the cable temperature at any given time is greater than a preset standard cable temperature and that the cable temperature at any given time is greater than the cable temperature at the previous time. It is also used to determine that the cable temperature rise rate at any given time period is an abnormal cable temperature rise rate if the cable temperature rise rate at any given time period is greater than a preset standard temperature rise rate. A control module, connected to the judgment module, is used to adjust the rotation speed of the heat dissipation device to a first rotation speed according to the temperature of the first abnormal cable, adjust the rotation speed of the heat dissipation device to a second rotation speed according to the temperature rise rate of the abnormal cable, and adjust the power load of the cable branch box according to the temperature rise rate of the abnormal cable. An adjustment module, connected to the control module, adjusts the time interval for collecting operating data according to the rate of change of abnormal cable temperature rise, so as to collect operating data of the cable branch box according to the adjusted time interval; The determination module, connected to the adjustment module, is used to determine the cable temperature at any given moment as the second abnormal cable temperature based on the abnormal cable temperature rise rate, and to determine the remaining alarm time based on the difference between the second abnormal cable temperature and the target cable temperature. An assessment module, connected to the determination module, is used to assess the hazard level of the cable branch box based on the remaining alarm time. An alarm module, connected to the assessment module, is used to determine the alarm level based on the hazard level; A positioning module, connected to the acquisition module, is used to determine the geographical location of the cable branch box via a GPS positioning system; The human-computer interaction module is connected to the acquisition module, judgment module, control module, adjustment module, determination module, evaluation module, alarm module, and positioning module, respectively, and is used to display the cable temperature, remaining time, danger level, and alarm level in the cable branch box, as well as receive data query commands from users.