Method and system for analyzing and early warning temperature change of bus of power distribution cabinet

Abstract

The invention discloses a power distribution cabinet bus temperature change analysis and early warning method and system, and relates to the technical field of data processing. The method comprises the steps of obtaining bus current data and bus temperature data of a target power distribution cabinet in a preset period and environment temperature data of an environment where the target power distribution cabinet is located; based on the bus temperature data, generating temperature change curves of a plurality of time periods; determining the maximum temperature rise value in each time period in combination with each temperature change curve and the environment temperature data, and determining the reference temperature threshold value of each time period according to each maximum temperature rise value; compensating the reference temperature threshold value of each time period according to the bus current data to obtain an early warning temperature threshold value of each time period; and receiving the bus temperature value of the target power distribution cabinet in the current time period, and when the bus temperature value in the current time period is greater than the early warning temperature threshold value in the corresponding time period, performing early warning on the target power distribution cabinet. By implementing the technical scheme provided by the invention, the effect of improving the accuracy of analysis and early warning of the temperature change of the bus of the power distribution cabinet is achieved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method, system, electronic device and storage medium for analyzing and warning temperature changes of a busbar of a power distribution cabinet. Background Art

[0002] With the continuous growth of industrial automation and power demand, the role of distribution cabinets in power systems has become increasingly important. As an important part of the power system, the distribution cabinet plays a key role in distributing and controlling power. The busbar in the distribution cabinet is the main current carrier, and its temperature management is crucial for the safe operation of the system. Overheating of the busbar may cause equipment damage, reduced efficiency, and even safety accidents.

[0003] At present, the existing analysis and early warning methods for the temperature change of the busbar of the power distribution cabinet usually use temperature sensors to monitor the busbar temperature of the power distribution cabinet in real time, and set a fixed temperature threshold to warn the busbar temperature of the power distribution cabinet to prevent overheating. However, in actual applications, only using a fixed temperature threshold to warn the busbar temperature of the power distribution cabinet often makes it difficult to take into account the influence of current fluctuations and environmental conditions, resulting in untimely warnings or misjudgments, thereby reducing the accuracy of the analysis and early warning of the busbar temperature change of the power distribution cabinet. Summary of the invention

[0004] The present application provides a method and system for analyzing and warning of temperature changes of a busbar of a power distribution cabinet, which has the effect of improving the accuracy of analyzing and warning of temperature changes of a busbar of a power distribution cabinet.

[0005] In a first aspect, the present application provides a method for analyzing and warning temperature changes of a distribution cabinet busbar, comprising: Obtain bus current data, bus temperature data of a target power distribution cabinet within a preset period, and ambient temperature data of an environment in which the target power distribution cabinet is located; Based on the busbar temperature data, generating a temperature change curve of the target power distribution cabinet in multiple time periods within the preset cycle; In combination with the temperature change curves and the ambient temperature data, the maximum temperature rise value of the target power distribution cabinet in each time period is determined, and according to each maximum temperature rise value, the reference temperature threshold value of each time period is determined; Compensating the reference temperature threshold of each time period according to the bus current data to obtain the early warning temperature threshold of each time period after compensation; The bus temperature value of the target power distribution cabinet in the current period is received, and when the bus temperature value of the current period is greater than the warning temperature threshold of the corresponding period, the target power distribution cabinet is warned.

[0006] In a second aspect of the present application, a system for analyzing and warning temperature changes of a busbar of a power distribution cabinet is provided, the system comprising: A data acquisition module is used to acquire bus current data, bus temperature data of a target power distribution cabinet within a preset period, and ambient temperature data of an environment in which the target power distribution cabinet is located; A curve determination module, used to generate a temperature change curve of the target power distribution cabinet in multiple time periods within the preset cycle based on the bus temperature data; A threshold determination module is used to determine the maximum temperature rise value of the target distribution cabinet in each time period in combination with each of the temperature change curves and the ambient temperature data, and determine the reference temperature threshold value of each time period according to each of the maximum temperature rise values; compensate the reference temperature threshold value of each time period according to the bus current data to obtain the early warning temperature threshold value of each time period after compensation; The temperature warning module is used to receive the bus temperature value of the target distribution cabinet in the current period, and when the bus temperature value of the current period is greater than the warning temperature threshold of the corresponding period, the target distribution cabinet is warned.

[0007] In a third aspect of the present application, an electronic device is provided, comprising a memory, a processor, and a program stored in the memory and executable on the processor, wherein the program can implement a method for analyzing and warning temperature changes of a distribution cabinet busbar when loaded and executed by the processor.

[0008] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements a method for analyzing and warning of temperature changes of a busbar of a power distribution cabinet.

[0009] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: By adopting the above technical solution, a complete data foundation is established by simultaneously collecting bus current data, temperature data and ambient temperature data, so that the temperature warning can fully consider the load change and environmental influencing factors. Secondly, by generating temperature change curves for different periods of time, the maximum temperature rise value is determined in combination with ambient temperature data, and then the reference temperature threshold is obtained, so that the warning standard can adapt to the temperature change characteristics of different periods of time. Thirdly, by introducing a compensation mechanism based on bus current data, the reference temperature threshold is dynamically adjusted, so that the warning temperature threshold can change adaptively with the load fluctuation characteristics, avoiding the misjudgment or missed judgment that may be caused by the use of fixed thresholds. Finally, timely and effective warning is achieved through real-time temperature monitoring and threshold comparison. Through this technical solution, the periodic law of bus temperature changes with time and environment is taken into account, and the temperature changes caused by load fluctuations can be adapted. Differentiated warning temperature thresholds are used for different periods of time, avoiding the limitations that may be caused by unified standards, making the warning more targeted, thereby improving the accuracy of the analysis and warning of bus temperature changes in the distribution cabinet. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a flow chart of a method for analyzing and warning temperature changes of a busbar of a power distribution cabinet provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a distribution cabinet busbar temperature change analysis and early warning system provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0011] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0012] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0013] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0014] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0015] The present application embodiment provides a method for analyzing and warning the temperature change of the busbar of a power distribution cabinet. In one embodiment, please refer to Figure 1 , Figure 1 This is a flow chart of the analysis and early warning method for the temperature change of the busbar of the power distribution cabinet provided in the embodiment of the present application. The method can be implemented by a computer program, which can be integrated in an application or run as an independent tool application. The method can also be implemented by a single-chip microcomputer or run in an analysis and early warning system for the temperature change of the busbar of the power distribution cabinet based on the von Neumann system. Specifically, the method can include the following steps: Step 101: Obtain bus current data, bus temperature data of a target distribution cabinet within a preset period, and ambient temperature data of an environment in which the target distribution cabinet is located.

[0016] The bus current data refers to the data sequence of the current magnitude of the bus inside the distribution cabinet during operation, which varies with time. The bus current data can be understood as the time series data composed of the current values ​​collected by the current sensor at a fixed sampling time interval (e.g., 1 minute) within a preset period (e.g., one day).

[0017] Busbar temperature data refers to the data series of the surface temperature of the busbar inside the power distribution cabinet changing with time during operation. Busbar temperature data can be understood as time series data consisting of temperature values ​​collected by the temperature sensor installed on the busbar surface at a fixed sampling time interval (e.g. 1 minute) within a preset period (e.g. one day). These data reflect the actual temperature status of the busbar at different time periods, include the real-time temperature values ​​at each time point, and record the dynamic change process of the busbar temperature.

[0018] Ambient temperature data refers to the data series of the temperature of the environment where the power distribution cabinet is located over time. Ambient temperature data can be understood as time series data consisting of ambient temperature values ​​collected by temperature sensors installed at appropriate locations around the power distribution cabinet at fixed sampling time intervals (e.g., 1 minute) within a preset period (e.g., one day). These data reflect the temperature changes in the operating environment of the power distribution cabinet, include real-time ambient temperature values ​​at each time point, and record the fluctuation process of the external ambient temperature.

[0019] Specifically, the power distribution cabinet is provided with a current sensor for monitoring the bus current, a temperature sensor for monitoring the bus temperature, and a temperature sensor for monitoring the ambient temperature. The preset period can be set according to actual needs, for example, it can be set to one day, one week or one month. In this embodiment, the preset period is set to one day, and the current sensor and the temperature sensor respectively collect bus current data and bus temperature data at a preset sampling time interval (for example, 1 minute). The collection of ambient temperature data also uses the same sampling time interval. The collected data is transmitted to the data processing unit in real time through the communication module for storage and processing. The purpose of obtaining complete bus operation data in this way is to comprehensively analyze the operating status of the bus of the power distribution cabinet, because the change of bus temperature is closely related to the current load and ambient temperature. By synchronously collecting these three types of data, the temperature change characteristics of the bus of the power distribution cabinet under different operating conditions and environmental conditions can be accurately reflected, providing a reliable data basis for subsequent temperature warnings.

[0020] Step 102: Based on the busbar temperature data, generate a temperature change curve of the target distribution cabinet in multiple time periods within a preset cycle.

[0021] The temperature change curve refers to a continuous function curve that describes the change of the busbar temperature of the distribution cabinet over time. The temperature change curve can be understood as a mathematical model obtained by curve fitting the busbar temperature data. The model takes time as the independent variable and temperature as the dependent variable, reflecting the change trend of the busbar temperature in a specific period of time.

[0022] Multiple time periods within a preset cycle refer to a number of time periods with different load characteristics divided into the preset cycle according to the actual operating characteristics of the distribution cabinet. Multiple time periods within a preset cycle can be understood as dividing a complete preset cycle (for example, 24 hours a day) into three main time periods: peak period, off-peak period and valley period based on the law of power load.

[0023] Specifically, since there are obvious time-period differences in the load conditions of the distribution cabinet during the day, in order to more accurately reflect the temperature change characteristics of different time periods, the preset period (such as one day) is first divided into peak time, flat peak time and valley time. Among them, the peak time can be set as a time period with large power consumption (such as 9:00-12:00 and 14:00-17:00), the flat peak time can be set as a time period with medium power consumption (such as 7:00-9:00 and 17:00-19:00), and the valley time is a time period with less power consumption (such as 19:00-7:00 the next day). Based on this time period division, the bus temperature data is classified according to the time period to obtain the bus temperature sequence corresponding to the peak time period, the bus temperature sequence corresponding to the flat peak time period, and the bus temperature sequence corresponding to the valley time period. Then, a curve fitting method, such as the least squares method, is used to fit the temperature sequence of each time period to obtain the temperature change curves of the peak time period, the flat peak time period and the valley time period respectively. This method of generating a temperature curve based on time division can better reflect the changing rules of busbar temperature in different time periods, and provide more targeted data support for the subsequent determination of the temperature rise value and warning threshold of each time period. Compared with the use of a unified temperature change curve, this time-division processing method can more accurately depict the temperature change characteristics under different operating conditions, thereby improving the accuracy of the warning.

[0024] Based on the above embodiment, as an optional embodiment, in step 102: based on the bus temperature data, generating a temperature change curve of the target distribution cabinet in multiple time periods within a preset period, this step may also include the following steps: Step 201: Divide a preset cycle into a plurality of time periods, each time period being one of a peak time period, a flat time period and a valley time period.

[0025] Among them, peak hours, off-peak hours and off-peak hours refer to three typical operating time periods divided according to the bus load level and power demand characteristics of the distribution cabinet. These three time periods can be understood as follows: peak hours refer to the time period with the largest power load and generally high bus temperature, which usually occurs during normal office hours on weekdays; off-peak hours refer to the transitional time period when the power load is at a medium level and the bus temperature is relatively stable, which usually occurs during the morning and evening transition periods on weekdays; off-peak hours refer to the time period with low power load and relatively low bus temperature, which usually occurs at night and in the early morning.

[0026] Specifically, since the load state and temperature change characteristics of the busbar of the power distribution cabinet show obvious periodic laws during the day, there are significant differences in power demand and load levels in different time periods, so it is necessary to divide the preset period into reasonable time periods. In this embodiment, based on the typical power load curve characteristics of the power distribution system, the preset period (24 hours a day) is divided into three types of time periods: 9:00-12:00 and 14:00-17:00, when the power load is large and the busbar temperature is generally high, are set as peak time periods; 7:00-9:00 and 17:00-19:00, when the power load is moderate and the busbar temperature fluctuation is relatively stable, are set as flat peak time periods; 19:00-7:00 the next day, when the power load is low and the busbar temperature is relatively low, is set as a valley period. This method of time division based on load characteristics can better adapt to the operating status of the distribution cabinet in different time periods, and provide a time dimension basis for the subsequent establishment of differentiated warning thresholds. By dividing the preset cycle into time periods with different load characteristics, the temperature variation pattern of each time period can be analyzed in a targeted manner to improve the adaptability of the early warning to different operating conditions.

[0027] Step 202: Determine the bus temperature sequence corresponding to the peak period, the bus temperature sequence corresponding to the flat period, and the bus temperature sequence corresponding to the valley period in the bus temperature data.

[0028] The busbar temperature sequence refers to a data set formed by chronologically arranging the busbar temperature data collected at a fixed sampling time interval during a specific period of time. The busbar temperature sequence can be understood as a discrete data sequence consisting of temperature values ​​continuously collected by the temperature sensor at a preset sampling time interval (e.g., 1 minute) during peak hours, off-peak hours, or valley hours, and these values ​​are in the order of the collection time.

[0029] Specifically, due to the significant differences in bus temperature variation characteristics in different time periods, it is necessary to classify and organize the collected bus temperature data according to the time period, so as to facilitate the subsequent targeted analysis of the temperature variation law of each time period. In this embodiment, the bus temperature data collected by the temperature sensor at a fixed sampling time interval (for example, 1 minute) within a preset period is first matched with the time range of each time period according to the data acquisition time label, and the temperature data within the time range of 9:00-12:00 and 14:00-17:00 is extracted as the bus temperature sequence corresponding to the peak period, the temperature data within the time range of 7:00-9:00 and 17:00-19:00 is extracted as the bus temperature sequence corresponding to the flat peak period, and the temperature data within the time range of 19:00-7:00 the next day is extracted as the bus temperature sequence corresponding to the valley period. Through this time period-based temperature data classification method, the temperature data within the preset period can be effectively organized according to the load characteristics, providing a classified data basis for the subsequent generation of the temperature change curve of each time period.

[0030] Step 203: Fit the bus temperature sequences corresponding to the peak period, the flat period and the valley period respectively, and obtain the temperature variation curves of each period.

[0031] Specifically, since the temperature data collected by the temperature sensor is a discrete numerical sequence, in order to better describe the continuous change process of temperature and capture the temperature change law, it is necessary to use a curve fitting method to convert the discrete temperature data into a continuous mathematical function. First, for the busbar temperature sequence of each period, the least squares method is used for curve fitting, with time as the independent variable and temperature as the dependent variable, and a suitable fitting function (such as a polynomial function) is selected to fit the temperature data. By minimizing the sum of square errors between the actual temperature value and the fitting curve, the optimal fitting parameters can be obtained, and then the mathematical expression of the temperature change in each period can be obtained. For example, for the busbar temperature sequence of the peak period (9:00-12:00 and 14:00-17:00), a continuous function curve reflecting the temperature change law of the period can be obtained by fitting; similarly, the temperature sequences of the flat peak period (7:00-9:00 and 17:00-19:00) and the valley period (19:00-7:00 the next day) are also fitted to obtain the corresponding temperature change curves. This curve fitting method can effectively eliminate random fluctuations in temperature data and extract the main trend of temperature change. By fitting the temperature series of each period separately, the temperature change law of different periods can be more accurately described.

[0032] Step 103: Determine the maximum temperature rise value of the target distribution cabinet in each time period in combination with each temperature change curve and the ambient temperature data, and determine the reference temperature threshold value of each time period according to each maximum temperature rise value.

[0033] The maximum temperature rise value refers to the maximum difference between the busbar temperature and the ambient temperature in a specific period of time, reflecting the maximum degree of heat generated by the busbar due to the load during the period. The maximum temperature rise value can be understood as the maximum value in the temperature rise value sequence obtained by subtracting the ambient temperature at the corresponding moment from the temperature value on the busbar temperature change curve during peak hours, flat hours or valley hours.

[0034] The reference temperature threshold refers to the reference standard value used to determine whether the busbar temperature exceeds the limit after considering the influence of ambient temperature and safety margin. The reference temperature threshold can be understood as the temperature limit obtained by multiplying the maximum temperature rise value of each period by the preset safety factor and then adding it to the average ambient temperature of the corresponding period. This limit reflects the maximum allowable temperature of the busbar under normal operating conditions.

[0035] Specifically, since the actual temperature of the busbar of the power distribution cabinet is not only affected by the load, but also significantly affected by the ambient temperature, it is necessary to eliminate the interference of the ambient temperature by calculating the temperature rise value, so as to more accurately evaluate the heating condition of the busbar itself. First, the temperature change curve of each time period is matched with the ambient temperature data of the corresponding time period, and the difference between the busbar temperature and the ambient temperature at each sampling moment is calculated to obtain the temperature rise value sequence of each time period. Then, the maximum value in the temperature rise value sequence of the peak time period, the flat peak time period and the valley time period is determined respectively as the maximum temperature rise value of each time period. Based on these maximum temperature rise values, combined with the safe operation requirements of the power distribution cabinet, the reference temperature threshold of each time period is obtained by multiplying the maximum temperature rise value of each time period by a preset safety factor (for example, 1.2) and adding the average ambient temperature of the corresponding time period. This threshold determination method based on temperature rise value can effectively eliminate the influence of ambient temperature on early warning judgment, so that the early warning threshold is more in line with the actual operation situation. By setting corresponding reference temperature thresholds for different time periods, more accurate time-divided early warning can be achieved.

[0036] Based on the above embodiment, as an optional embodiment, in step 103: combining each temperature change curve and the ambient temperature data to determine the maximum temperature rise value of the target distribution cabinet in each time period, this step may also include the following steps: Step 301: performing differential calculation on the temperature variation curve of each time period to determine a plurality of inflection points in each time period.

[0037] Among them, the inflection point refers to the time point at which the temperature change trend on the temperature change curve changes significantly, representing the turning point where the temperature change rate changes from increasing to decreasing or from decreasing to increasing. The inflection point can be understood as the point where the second-order derivative of the temperature change curve is zero and the first-order derivative changes its sign. These points reflect the important turning points in the busbar temperature change process.

[0038] Specifically, firstly, the temperature change curve of each time period is subjected to a first-order difference operation to obtain a temperature change rate curve, which reflects the speed of temperature change over time; then, the temperature change rate curve is subjected to a difference operation again to obtain an acceleration curve of temperature change, which reflects the change of the temperature change rate. By analyzing the zero point on the acceleration curve, the moment when the temperature change rate changes from increasing to decreasing or from decreasing to increasing can be found, and these moments are the inflection points on the temperature change curve. For example, by performing the above-mentioned difference operation on the temperature change curve during the peak hours (9:00-12:00 and 14:00-17:00), multiple inflection points within the period can be obtained; the inflection point determination method for the flat peak period and the valley period is the same. This inflection point identification method based on difference operation can accurately capture the mutation characteristics in the temperature change process, and provide an important basis for the subsequent analysis of the busbar temperature change law. By identifying the inflection points of each time period, the dynamic characteristics of the busbar temperature change can be better understood.

[0039] Step 302: Based on the ambient temperature data, determine the ambient temperature values ​​corresponding to the multiple inflection points in each time period.

[0040] Specifically, firstly, the time information of the inflection point of each time period is time-matched with the ambient temperature data, and the ambient temperature value corresponding to each inflection point is determined by finding the sampling data closest to the inflection point in the ambient temperature data, or by using interpolation calculation. For example, for the inflection points identified during the peak hours (9:00-12:00 and 14:00-17:00), the ambient temperature values ​​at these times are found or calculated respectively; the inflection point ambient temperature determination method for the flat peak period and the valley period is the same. This method of determining the ambient temperature based on time matching can establish the corresponding relationship between the inflection point temperature change and the ambient temperature, providing an important reference for the subsequent analysis of the cause of the temperature mutation. By obtaining the ambient temperature value at the inflection point, the impact of environmental factors on the busbar temperature change can be more accurately evaluated, and the accuracy of the temperature mutation analysis can be improved.

[0041] Step 303: For each time period, calculate the temperature difference between the temperature value corresponding to each inflection point and the ambient temperature value; select the largest temperature difference as the maximum temperature rise value of the time period.

[0042] Specifically, for each inflection point in each time period, the difference between the corresponding busbar temperature value and the ambient temperature value is calculated to obtain a set of temperature difference sequences reflecting the temperature rise conditions at the inflection points; then the maximum value is selected from the sequence as the maximum temperature rise value of the time period. For example, for the inflection points in the peak period (9:00-12:00 and 14:00-17:00), the difference between the busbar temperature and the ambient temperature at each inflection point is calculated respectively, and the maximum value is selected as the maximum temperature rise value of the peak period; the method for determining the maximum temperature rise value in the off-peak period and the valley period is the same. This method for determining the temperature rise value based on inflection point analysis can focus more specifically on the moment when the temperature change is most significant, avoiding excessive attention to the temperature difference under normal operating conditions.

[0043] Based on the above embodiment, as an optional embodiment, in step 103: determining the reference temperature threshold of each time period according to each maximum temperature rise value, this step may also include the following steps: Step 304: Obtain historical load current data corresponding to each time period; determine the safety margin coefficient corresponding to each time period according to each historical load current data.

[0044] Among them, historical load current data refers to a data set consisting of current values ​​recorded on the bus of the power distribution cabinet at fixed sampling time intervals during a specific historical period. Historical load current data can be understood as a sequence of current values ​​in each period (peak, flat, and valley) collected by the current sensor during the same period of temperature data collection. These data reflect the actual load operation of the bus of the power distribution cabinet.

[0045] The safety margin coefficient refers to the temperature threshold correction parameter set to ensure the safe operation of the distribution cabinet busbar. This coefficient is used to reserve a certain safety margin based on the maximum temperature rise value, and to amplify the actual measured maximum temperature rise value to a more conservative safety range.

[0046] Specifically, since the temperature difference at the inflection point can reflect the actual heating degree of the busbar when the temperature changes drastically, by analyzing the temperature rise at these key moments, the heating state and potential risks of the busbar can be more accurately evaluated. First, for each inflection point in each period, the difference between the corresponding busbar temperature value and the ambient temperature value is calculated to obtain a set of temperature difference sequences reflecting the temperature rise at the inflection point; then the maximum value is selected from the sequence as the maximum temperature rise value of the period. For example, for the inflection points in the peak period (9:00-12:00 and 14:00-17:00), the difference between the busbar temperature and the ambient temperature at each inflection point is calculated respectively, and the maximum value is selected as the maximum temperature rise value of the peak period; the maximum temperature rise value determination method for the flat peak period and the valley period is the same. This method of determining the temperature rise value based on inflection point analysis can focus more specifically on the moment when the temperature change is most significant, avoiding excessive attention to the temperature difference under normal operation. By performing temperature rise analysis at the inflection point, the characteristics of abnormal changes in busbar temperature can be captured more accurately, providing a basis for formulating reasonable warning thresholds.

[0047] Based on the above embodiment, as an optional embodiment, in step 304: determining the safety margin coefficient corresponding to each time period according to each historical load current data, this step may also include the following steps: Step 314: Determine the bus load current value in the historical load current data corresponding to each time period; calculate the ratio between each bus load current value and the preset rated bus current value of the target distribution cabinet.

[0048] The bus load current value refers to the real-time current value measured by the current sensor during the actual operation of the distribution cabinet bus. The bus load current value can be understood as the actual working current flowing through the bus in different time periods (peak, flat, and valley). These values ​​directly reflect the actual load status of the bus.

[0049] The preset rated bus current value refers to the maximum current value that the distribution cabinet bus can stably carry for a long time under the design specifications and safe operation requirements. The preset rated bus current value can be understood as the nominal current capacity determined based on the physical parameters of the bus such as material, cross-sectional area, heat dissipation conditions, and in combination with relevant power equipment standards and specifications. This value represents the maximum allowable operating current of the bus under normal working conditions.

[0050] Specifically, firstly, the bus load current values ​​of each time period are extracted from the historical load current data. These current values ​​reflect the actual load conditions of the bus in different time periods; then these current values ​​are divided by the preset rated bus current value of the target distribution cabinet to obtain the load rate of each time period. For example, if the preset rated bus current value of a distribution cabinet is 1000A, and the bus load current value measured during the peak period (9:00-12:00 and 14:00-17:00) is 800A, then the load rate at this moment is 0.8; the calculation method of the load rate during the flat peak period and the valley period is the same. This load rate-based analysis method can intuitively reflect the load level of the bus and provide an important reference for evaluating the rationality of temperature changes. By calculating the load rate of each time period, we can better understand the relationship between load change and temperature change, and provide data support for establishing a more accurate temperature early warning mechanism.

[0051] Step 324: Based on a preset safety margin coefficient mapping table, determine the safety margin coefficient corresponding to the ratio of each time period.

[0052] Among them, the preset safety margin factor mapping table refers to a comparison table that establishes a mapping relationship between load rate ranges and corresponding safety margin factors. The preset safety margin factor mapping table can be understood as a data table that associates different load rate ranges with corresponding safety margin factors based on the operating experience and safety management requirements of the distribution cabinet busbar. This table defines the safety margin values ​​that should be used at different load levels.

[0053] Specifically, due to the differences in the heating characteristics and safety risks of the busbar under different load rates, it is necessary to adopt a safety margin factor that matches the load rate to achieve a more accurate temperature warning. First, a mapping relationship table between the load rate and the safety margin factor is established. For example, when the load rate is between 0-0.5, the safety margin factor is 1.1; when the load rate is between 0.5-0.8, the safety margin factor is 1.2; when the load rate is between 0.8-1.0, the safety margin factor is 1.3; then, according to the load rate calculated for each time period, the mapping table is queried to determine the corresponding safety margin factor. For example, if the load rate during the peak period (9:00-12:00 and 14:00-17:00) is 0.8, the corresponding safety margin factor can be obtained by looking up the table as 1.3; the method for determining the safety margin factor during the off-peak period and the valley period is the same. This method of determining the dynamic safety margin coefficient based on load rate can adjust the safety margin according to the actual operating status of the busbar, using a more conservative margin when the load rate is high and a relatively loose margin when the load rate is low. Through this differentiated safety margin setting, the sensitivity and reliability of the warning can be better balanced, and the accuracy of the temperature warning can be improved.

[0054] Step 305: multiply the maximum temperature rise value of each time period by the corresponding safety margin coefficient to obtain the reference temperature threshold of each time period.

[0055] Specifically, first, according to the operating characteristics and safety requirements of the distribution cabinet, a suitable safety margin coefficient is set, for example, a value of 1.2; then the maximum temperature rise value of each period is multiplied by the safety margin coefficient to obtain the temperature rise limit taking into account the safety margin; finally, the temperature rise limit is added to the average ambient temperature of the corresponding period to obtain the reference temperature threshold of each period. For example, if the maximum temperature rise value of the peak period (9:00-12:00 and 14:00-17:00) is 30 degrees Celsius and the average ambient temperature is 25 degrees Celsius, then the reference temperature threshold of this period is 30 degrees Celsius × 1.2 + 25 degrees Celsius = 61 degrees Celsius; the calculation method of the reference temperature threshold for the flat peak period and the valley period is the same. This threshold determination method based on the safety margin coefficient can provide sufficient response time for temperature warning and avoid safety hazards caused by sudden temperature changes. By setting a reasonable safety margin, it can ensure timely detection of temperature anomalies and avoid frequent false alarms caused by excessive sensitivity.

[0056] Step 104: Compensate the reference temperature threshold of each time period according to the bus current data to obtain the compensated warning temperature threshold of each time period.

[0057] Among them, the early warning temperature threshold refers to the temperature limit value used to judge whether the bus temperature of the power distribution cabinet is in an abnormal state after compensation by the reference temperature threshold. The early warning temperature threshold can be understood as the final temperature judgment standard obtained by multiplying the reference temperature threshold with the load-related safety margin coefficient after considering the bus temperature change law, the influence of ambient temperature and the actual load condition. This value comprehensively reflects the temperature safety boundary of the bus under specific operating conditions.

[0058] Specifically, since the actual load condition of the busbar will directly affect its heating characteristics, it is necessary to dynamically adjust the reference temperature threshold according to the load level reflected by the busbar current data to adapt to the safety requirements of different operating conditions. First, the safety margin coefficient of each period determined based on the load rate is obtained, and then the coefficient is multiplied by the reference temperature threshold of the corresponding period to obtain the warning temperature threshold that takes into account the actual load condition. For example, if the reference temperature threshold of the peak period (9:00-12:00 and 14:00-17:00) is 61 degrees Celsius, the corresponding load rate is 0.8, and the safety margin coefficient obtained by looking up the table is 1.3, then the warning temperature threshold of this period is 61 degrees Celsius × 1.3 = 79.3 degrees Celsius; the calculation method of the warning temperature threshold for the flat peak period and the valley period is the same. This threshold compensation method based on busbar current data can make the warning temperature threshold dynamically adjusted with the load change, using a higher warning threshold at high load and a relatively low warning threshold at low load. Through this compensation mechanism, the actual operating status of the busbar can be better adapted, the accuracy and practicality of temperature warning can be improved, and false alarms or missed alarms caused by load changes can be avoided.

[0059] Based on the above embodiment, as an optional embodiment, in step 104: compensating the reference temperature threshold of each time period according to the bus current data to obtain the early warning temperature threshold of each time period after compensation, this step may also include the following steps: Step 401: Based on the bus current data, determine the average current value, the maximum current value and the minimum current value in each time period.

[0060] Specifically, since the bus temperature change is closely related to the current load level, it is necessary to calculate the current characteristic values ​​in different time periods to grasp the load distribution and change law of the bus, so as to provide more comprehensive data support for temperature warning. First, the bus current data is divided according to time periods, such as peak time periods (9:00-12:00 and 14:00-17:00), flat peak time periods and valley time periods; then the current sampling data in each time period is statistically calculated to obtain the average current value, the maximum current value and the minimum current value. For example, if the current data sequence collected in a peak time period is {750A, 800A, 850A, 780A, 820A}, the average current value of the time period is 800A, the maximum current value is 850A, and the minimum current value is 750A; the current characteristic value calculation method for other time periods is the same. This time-based current characteristic value analysis method can reflect the concentration trend and fluctuation range of the bus load, which is helpful to identify load mutations and abnormal power consumption patterns. By understanding the current distribution characteristics in each time period, the impact of load changes on bus temperature can be more accurately evaluated, providing a basis for establishing a more accurate temperature warning mechanism.

[0061] Step 402: For each time period, the difference between the maximum current value and the minimum current value is used as the current fluctuation amplitude of the time period.

[0062] Specifically, since the bus temperature has a certain hysteresis in response to load changes, the violent fluctuation of the load current may cause the temperature warning to lag or advance. It is necessary to evaluate the stability of the load by analyzing the current fluctuation amplitude to provide a reference for the adjustment of the temperature warning threshold. For each period, the current fluctuation amplitude is determined by calculating the difference between the maximum and minimum current values. For example, if the maximum current in the peak period (9:00-12:00 and 14:00-17:00) is 850A and the minimum current is 750A, then the current fluctuation amplitude in this period is 100A; the current fluctuation amplitude calculation method for the flat peak period and the valley period is the same. This fluctuation amplitude calculation method based on the maximum and minimum value difference can intuitively reflect the severity of the load change in each period, which helps to identify the load fluctuation that may affect the accuracy of the temperature warning. By mastering the current fluctuation characteristics of each period, the warning strategy can be appropriately adjusted for the period with large fluctuations to improve the adaptability of the temperature warning.

[0063] Step 403: Divide the fluctuation amplitude by the average current value to obtain the compensation coefficient of the time period; adjust the reference temperature threshold of each time period according to the compensation coefficient of each time period to obtain the warning temperature threshold of each time period.

[0064] The compensation coefficient is a dimensionless parameter that reflects the relative fluctuation of bus load current in each period. The compensation coefficient can be understood as the ratio of the current fluctuation amplitude (the difference between the maximum and minimum values) to the average current value. This value reflects the relative intensity of load fluctuation relative to the average load level.

[0065] Specifically, since the degree of influence of current fluctuation on bus temperature is related to the average load level, it is necessary to determine the appropriate compensation coefficient by calculating the relative fluctuation amplitude to realize dynamic adjustment of the warning temperature threshold. In this embodiment, the compensation coefficient of each time period is first calculated, that is, the current fluctuation amplitude is divided by the average current value. For example, if the current fluctuation amplitude during the peak period (9:00-12:00 and 14:00-17:00) is 100A and the average current value is 800A, the compensation coefficient for this period is 0.125; then the reference temperature threshold is adjusted according to the compensation coefficient, and the reference temperature threshold can be multiplied by (1+compensation coefficient). If the reference temperature threshold for this period is 61 degrees Celsius, the adjusted warning temperature threshold is 61 degrees Celsius × (1+0.125) = 68.625 degrees Celsius; the calculation method of the warning temperature threshold for the flat peak period and the valley period is the same. This threshold adjustment method based on relative fluctuation amplitude can make the warning temperature threshold change dynamically with the load fluctuation characteristics, using a looser warning threshold when the fluctuation is large, and a relatively strict warning threshold when the fluctuation is small. Through this compensation mechanism, it can better adapt to the temperature change characteristics under different load fluctuation modes and improve the accuracy of temperature warning.

[0066] Step 105: Receive the bus temperature value of the target distribution cabinet in the current period, and when the bus temperature value of the current period is greater than the warning temperature threshold of the corresponding period, issue a warning to the target distribution cabinet.

[0067] Specifically, since the bus temperature exceeding the warning threshold may mean that there is an overload, poor contact or other abnormal conditions, it is necessary to promptly discover and deal with these potential problems to prevent equipment damage or accidents. In this embodiment, the bus temperature data of the target distribution cabinet is first collected in real time by a temperature sensor, and the current time period is determined according to the collection time; then the collected temperature value is compared with the warning temperature threshold corresponding to the time period. For example, if the current peak period (9:00-12:00 and 14:00-17:00), the collected bus temperature value is 82 degrees Celsius, and the warning temperature threshold of the time period is 79.3 degrees Celsius. Since the measured temperature exceeds the warning threshold, the system will trigger a warning signal; if the temperature value is lower than the warning threshold, continue to monitor. When the warning is triggered, the system can promptly inform the operation and maintenance personnel through sound and light alarms, SMS notifications, system interface prompts, etc. This dynamic monitoring method based on the time period warning temperature threshold can adopt corresponding warning standards according to the load characteristics of different time periods to avoid the misjudgment that may be caused by the use of a unified threshold. Through a timely and effective early warning mechanism, operation and maintenance personnel can quickly discover and deal with abnormal bus temperature problems, thereby improving the operating reliability and safety of distribution equipment.

[0068] Based on the above embodiment, as an optional embodiment, in step 105: receiving the bus temperature value of the target distribution cabinet in the current period, after this step, the following steps may also be included: Step 501: When the bus temperature value of the current period is less than or equal to the warning temperature threshold of the corresponding period, the temperature change rate of the current period is calculated based on the bus temperature value of the current period and the duration of the current period.

[0069] Specifically, first record the initial temperature value at the beginning of the current period and the currently sampled temperature value, and obtain the time interval between the two temperature sampling points. For example, if the initial temperature is 65 degrees Celsius during the peak hours (9:00-12:00 and 14:00-17:00), and the temperature is 70 degrees Celsius after 30 minutes, the temperature change rate for this period can be calculated as (70 degrees Celsius-65 degrees Celsius) / 0.5h=10 degrees Celsius / h; the temperature change rate calculation method for other periods is the same. This temperature change rate calculation method based on time series can reflect the rate of increase or decrease of the busbar temperature, which helps to detect abnormal temperature change trends early. By monitoring the temperature change rate, potential abnormalities can be identified before the temperature reaches the warning threshold.

[0070] Step 502: If the temperature change rate is greater than the temperature change rate threshold, an early warning is issued to the target distribution cabinet.

[0071] Specifically, since the rapid rise of busbar temperature often indicates a possible fault or abnormal situation, even if the current temperature value has not exceeded the warning temperature threshold, it is necessary to judge the temperature change rate threshold to achieve early warning. First, set a reasonable temperature change rate threshold, such as 8 degrees Celsius / h determined based on historical operating experience, and then compare the calculated temperature change rate with the threshold. For example, if the temperature change rate during peak hours (9:00-12:00 and 14:00-17:00) is 10 degrees Celsius / h, which exceeds the preset temperature change rate threshold of 8 degrees Celsius / h, the system will trigger a warning signal even if the current temperature value does not exceed the warning temperature threshold; if the temperature change rate does not exceed the threshold, it will continue to monitor. When the warning is triggered based on the temperature change rate, the system will also promptly inform the operation and maintenance personnel through sound and light alarms, SMS notifications, system interface prompts, etc., and mark it as a warning caused by too fast temperature changes. This warning mechanism based on the temperature change rate can issue a warning signal at the early stage of abnormally rapid temperature rise, leaving more sufficient fault handling time for the operation and maintenance personnel.

[0072] Reference Figure 2 , is a distribution cabinet busbar temperature change analysis and early warning system provided in an embodiment of the present application, the system comprises: a data acquisition module, a curve determination module, a threshold determination module, and a temperature early warning module, wherein: A data acquisition module is used to acquire bus current data, bus temperature data of a target power distribution cabinet within a preset period, and ambient temperature data of the environment in which the target power distribution cabinet is located; A curve determination module is used to generate a temperature change curve of a target distribution cabinet in multiple time periods within a preset cycle based on busbar temperature data; The threshold determination module is used to determine the maximum temperature rise value of the target distribution cabinet in each time period by combining each temperature change curve and the ambient temperature data, and determine the reference temperature threshold value of each time period according to each maximum temperature rise value; compensate the reference temperature threshold value of each time period according to the bus current data to obtain the early warning temperature threshold value of each time period after compensation; The temperature warning module is used to receive the busbar temperature value of the target distribution cabinet in the current period. When the busbar temperature value in the current period is greater than the warning temperature threshold of the corresponding period, the target distribution cabinet is warned.

[0073] Based on the above embodiment, the curve determination module is also used to divide the preset cycle into multiple time periods, each time period being one of a peak time period, a flat-peak time period and a valley time period; determine the bus temperature sequence corresponding to the peak time period, the bus temperature sequence corresponding to the flat-peak time period and the bus temperature sequence corresponding to the valley time period in the bus temperature data; fit the bus temperature sequences corresponding to the peak time period, the flat-peak time period and the valley time period respectively, and obtain the corresponding temperature change curves for each time period.

[0074] On the basis of the above embodiment, the threshold determination module is also used to perform differential operations on the temperature change curves of each time period to determine multiple inflection points within each time period; based on the ambient temperature data, determine the ambient temperature values ​​corresponding to the multiple inflection points within each time period; for each time period, calculate the temperature difference between the temperature value corresponding to each inflection point and the ambient temperature value; and select the largest temperature difference as the maximum temperature rise value of the time period.

[0075] Based on the above embodiment, the threshold determination module is also used to obtain historical load current data corresponding to each time period; determine the safety margin coefficient corresponding to each time period based on each historical load current data; multiply the maximum temperature rise value of each time period by the corresponding safety margin coefficient to obtain the reference temperature threshold of each time period.

[0076] Based on the above embodiment, the threshold determination module is also used to determine the bus load current value in the historical load current data corresponding to each time period; calculate the ratio between each bus load current value and the preset rated bus current value of the target distribution cabinet; based on a preset safety margin coefficient mapping table, determine the safety margin coefficient corresponding to the ratio of each time period.

[0077] On the basis of the above embodiment, the threshold determination module is also used to determine the average current value, the maximum current value and the minimum current value in each time period based on the bus current data; for each time period, the difference between the maximum current value and the minimum current value is used as the current fluctuation amplitude of the time period; the fluctuation amplitude is divided by the average current value to obtain the compensation coefficient of the time period; according to the compensation coefficient of each time period, the reference temperature threshold of each time period is adjusted to obtain the warning temperature threshold of each time period.

[0078] Based on the above embodiment, the temperature warning module is also used to calculate the temperature change rate of the current period based on the bus temperature value of the current period and the duration of the current period when the bus temperature value of the current period is less than or equal to the warning temperature threshold of the corresponding period; if the temperature change rate is greater than the temperature change rate threshold, the target distribution cabinet is warned.

[0079] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0080] The present application also discloses an electronic device. Figure 3 , Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0081] The communication bus 302 is used to realize the connection and communication between these components.

[0082] The user interface 303 may include a display interface and a camera interface. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0083] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0084] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface diagrams and applications, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0085] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 The memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program of an analysis and early warning method for temperature changes of a distribution cabinet bus.

[0086] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the application program of the analysis and early warning method of the temperature change of the busbar of the power distribution cabinet stored in the memory 305. When executed by one or more processors 301, the electronic device 300 executes one or more methods in the above-mentioned embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0087] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0088] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0089] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0090] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0091] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0092] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0093] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not recorded in the present disclosure. The description and examples are to be regarded as exemplary only.

Claims

1. A method for analyzing and warning temperature changes of busbars in a power distribution cabinet, characterized in that: include: Obtain bus current data, bus temperature data of a target power distribution cabinet within a preset period, and ambient temperature data of an environment in which the target power distribution cabinet is located; Based on the busbar temperature data, generating a temperature change curve of the target power distribution cabinet in multiple time periods within the preset cycle; In combination with the temperature change curves and the ambient temperature data, the maximum temperature rise value of the target power distribution cabinet in each time period is determined, and according to each maximum temperature rise value, the reference temperature threshold value of each time period is determined; Compensating the reference temperature threshold of each time period according to the bus current data to obtain the early warning temperature threshold of each time period after compensation; The bus temperature value of the target power distribution cabinet in the current period is received, and when the bus temperature value of the current period is greater than the warning temperature threshold of the corresponding period, the target power distribution cabinet is warned.

2. The method for analyzing and warning the temperature change of the busbar of the power distribution cabinet according to claim 1 is characterized in that: The step of generating a temperature change curve of the target power distribution cabinet in multiple time periods within the preset cycle based on the bus temperature data includes: Dividing the preset cycle into a plurality of time periods, each of the time periods being one of a peak time period, a flat time period and a valley time period; Determine the bus temperature sequence corresponding to the peak period, the bus temperature sequence corresponding to the flat period, and the bus temperature sequence corresponding to the valley period in the bus temperature data; The bus temperature sequences corresponding to the peak period, the flat period and the valley period are fitted respectively to obtain the temperature variation curves of each period.

3. The method for analyzing and warning the temperature change of the busbar of the power distribution cabinet according to claim 1 is characterized in that: The step of combining the temperature change curves and the ambient temperature data to determine the maximum temperature rise value of the target power distribution cabinet in each time period includes: Performing differential calculation on the temperature change curves in each of the time periods to determine a plurality of inflection points in each of the time periods; Based on the ambient temperature data, determining ambient temperature values ​​corresponding to a plurality of inflection points within each of the time periods; For each of the time periods, calculating the temperature difference between the temperature value corresponding to each of the inflection points and the ambient temperature value; The maximum temperature difference is selected as the maximum temperature rise value in the period.

4. The method for analyzing and warning the temperature change of the busbar of a power distribution cabinet according to claim 1 is characterized in that: Determining the reference temperature threshold of each time period according to each of the maximum temperature rise values ​​includes: Obtaining historical load current data corresponding to each of the time periods; Determining the safety margin coefficient corresponding to each of the time periods according to each of the historical load current data; The maximum temperature rise value of each time period is multiplied by the corresponding safety margin coefficient to obtain the reference temperature threshold of each time period.

5. The method for analyzing and warning the temperature change of the busbar of the power distribution cabinet according to claim 4 is characterized in that: Determining the safety margin coefficient corresponding to each of the time periods according to each of the historical load current data includes: Determine the bus load current value in the historical load current data corresponding to each of the time periods; Calculating the ratio between each of the bus load current values ​​and the preset rated bus current value of the target power distribution cabinet; Based on a preset safety margin coefficient mapping table, the safety margin coefficient corresponding to the ratio of each of the time periods is determined.

6. The method for analyzing and warning the temperature change of the busbar of a power distribution cabinet according to claim 1 is characterized in that: The step of compensating the reference temperature threshold of each time period according to the bus current data to obtain the early warning temperature threshold of each time period after compensation includes: Based on the bus current data, determine the average current value, the maximum current value and the minimum current value in each of the time periods; For each of the time periods, the difference between the maximum current value and the minimum current value is used as the current fluctuation amplitude of the time period; Dividing the fluctuation amplitude by the average current value to obtain a compensation coefficient for the time period; According to the compensation coefficient of each time period, the reference temperature threshold of each time period is adjusted to obtain the warning temperature threshold of each time period.

7. The method for analyzing and warning the temperature change of the busbar of a power distribution cabinet according to claim 1 is characterized in that: After receiving the bus temperature value of the target power distribution cabinet in the current period, the method further includes: When the bus temperature value of the current period is less than or equal to the warning temperature threshold of the corresponding period, the temperature change rate of the current period is calculated based on the bus temperature value of the current period and the duration of the current period; If the temperature change rate is greater than the temperature change rate threshold, an early warning is issued to the target power distribution cabinet.

8. An analysis and early warning system for busbar temperature changes in a power distribution cabinet, characterized in that: The system comprises: A data acquisition module is used to acquire bus current data, bus temperature data of a target power distribution cabinet within a preset period, and ambient temperature data of an environment in which the target power distribution cabinet is located; A curve determination module, used to generate a temperature change curve of the target power distribution cabinet in multiple time periods within the preset cycle based on the bus temperature data; A threshold determination module is used to determine the maximum temperature rise value of the target distribution cabinet in each time period in combination with each of the temperature change curves and the ambient temperature data, and determine the reference temperature threshold value of each time period according to each of the maximum temperature rise values; compensate the reference temperature threshold value of each time period according to the bus current data to obtain the early warning temperature threshold value of each time period after compensation; The temperature warning module is used to receive the bus temperature value of the target distribution cabinet in the current period, and when the bus temperature value of the current period is greater than the warning temperature threshold of the corresponding period, the target distribution cabinet is warned.

9. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the early warning method for monitoring the temperature change of the distribution cabinet bus as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the early warning method for monitoring the temperature change of the busbar of a distribution cabinet as described in any one of claims 1 to 7 is executed.

Images