Temperature early warning method and device for electrical connection point, storage medium and electronic equipment

Abstract

The invention relates to a temperature early warning method and device for an electrical connection point, a storage medium and electronic equipment, and relates to the technical field of electrical safety, and the method comprises the steps: obtaining the current actual temperature of a to-be-monitored electrical connection point, a target parameter of at least one target dimension, and historical temperature data of connection points of the same type; when the actual temperature does not exceed the limit, inputting each target parameter into a preset temperature prediction model to obtain the current normal temperature of the to-be-monitored electrical connection point; when the actual temperature is larger than the normal temperature, the temperature difference between the actual temperature and the normal temperature is calculated, and if the temperature difference is larger than a preset temperature difference threshold value, early warning information is sent for the temperature rising risk; and if the temperature difference is not greater than the temperature difference threshold, determining whether the to-be-monitored electrical connection point has a temperature rise risk based on historical temperature data, and if yes, sending out early warning information for the temperature rise risk. The application has the effect of improving the timeliness of performing temperature early warning on the electrical connection point.

Description

Technical Field

[0001] The present application relates to the technical field of electrical safety, and particularly relates to a temperature warning method, device, storage medium and electronic device for an electrical connection point. Background Technique

[0002] An electrical connection point refers to a part or area where two or more electrical devices, electrical components or conductive materials are electrically connected in a certain way. It is an important part of an electrical system and a key factor for the stable operation of the electrical system. Once a safety hazard occurs at the electrical connection point, such as too high temperature, it will have a huge impact on the stable operation of the electrical system, ranging from causing a trip and power outage to damaging electrical equipment and triggering a fire accident. It can be seen that the temperature warning for the electrical connection point is very important.

[0003] Currently, the commonly used method for temperature warning of electrical connection points is to monitor the temperature of the electrical connection point based on simply setting a temperature threshold. Once the temperature exceeds the temperature threshold, it is determined that the electrical connection point is overheated and a corresponding warning is issued. In this way, when the warning is issued, there are often already safety hazards of overheating at the electrical connection point, resulting in poor timeliness of the temperature warning for the electrical connection point. Summary of the Invention

[0004] In order to improve the timeliness of the temperature warning for the electrical connection point, the present application provides a temperature warning method, device, storage medium and electronic device for the electrical connection point.

[0005] In the first aspect of the present application, a temperature warning method for an electrical connection point is provided, which specifically includes: Obtain the current actual temperature of the electrical connection point to be monitored, the target parameters of at least one target dimension, and the historical temperature data of the same type of connection points, where the target dimension is the dimension that affects the temperature rise of the electrical connection point to be monitored; When the actual temperature is not exceeded, input each of the target parameters into a preset temperature prediction model to obtain the current normal temperature of the electrical connection point to be monitored, where the temperature prediction model is a model that can predict the normal temperature of the electrical connection point based on the parameters that affect the temperature rise of the electrical connection point; When the actual temperature is greater than the normal temperature, calculate the temperature difference between the actual temperature and the normal temperature. If the temperature difference is greater than a preset temperature difference threshold, then issue a warning message for the temperature rise risk; If the temperature difference is not greater than the temperature difference threshold, then based on the historical temperature data, determine whether there is a temperature rise risk for the electrical connection point to be monitored. If so, then issue a warning message for the temperature rise risk.

[0006] By adopting the above technical solution, when the actual temperature does not exceed the limit, the normal temperature of the electrical connection point to be monitored under normal conditions is predicted through the temperature prediction model. If the actual temperature is greater than the normal temperature, it indicates that the actual temperature of the electrical connection point to be monitored at the current time is higher than the temperature under normal conditions, and there may be a risk of temperature rise, which needs to be further verified. If the temperature difference is greater than the preset temperature difference threshold, it indicates that the actual temperature is much higher than the temperature under normal conditions, indicating that the current actual temperature is unreasonable. Although the temperature does not exceed the limit, there is a potential risk of temperature rise. Then, a warning message is sent, so as to identify potential risks in the stage when the temperature does not exceed the limit and issue a warning in advance; if the temperature difference is not greater than the temperature difference threshold, it indicates that the actual temperature is slightly higher than the temperature under normal conditions, which may be normal temperature fluctuations, but the risk of temperature rise cannot be excluded. Then, referring to the historical temperature data, it is determined again whether there is a risk of temperature rise in the electrical connection point to be monitored. When there is a risk of temperature rise, a targeted warning is sent, so as to improve the timeliness of temperature warning for electrical connection points.

[0007] Optionally, if so, issuing a warning message for the temperature rise risk specifically includes: If so, obtain the actual temperature rise rate of at least one time node of the electrical connection point to be monitored and the corresponding at least one abnormal target dimension within the time from the start of operation to the current time. The abnormal target dimension is the target dimension where the parameter shows abnormal fluctuations; Obtain the rate intervals where at least one historical temperature rise rate of the same type of connection points that have experienced temperature overlimit is located, count the first occurrence times of each rate interval, and select the first number of rate intervals from each rate interval in the order from largest to smallest of the first occurrence times to determine as the key rate intervals; Obtain the historical target dimensions where the parameters show abnormal fluctuations when the historical temperature rise rate is within a single key rate interval and a temperature overlimit occurs, count the second occurrence times of each historical target dimension, and select the second number of historical target dimensions from each historical target dimension in the order from largest to smallest of the second occurrence times to determine as the key dimensions corresponding to a single key rate interval; Determine the first weight of each key rate interval and the second weight of the key dimension corresponding to each key rate interval. The first weight is the ratio of the first occurrence time of each key rate interval to the sum of the first occurrence times of all key rate intervals, and the second weight is the ratio of the second occurrence time of the single key dimension corresponding to the key rate interval to the sum of the second occurrence times of all key dimensions; Based on the first weight, the second weight, the actual temperature rise rate and the corresponding abnormal target dimension, verify the existence of the temperature rise risk; After passing the verification, a warning message is issued for the risk of temperature rise.

[0008] By adopting the above technical solution, the larger the first occurrence times, the larger the first occurrence times. When the temperature rise rate of the same type of connection points is within the corresponding rate interval, the more likely it is to have a problem of over-temperature, and then the key rate interval is determined; the larger the second occurrence times, the more likely it is to have an over-temperature problem subsequently when there is an abnormal fluctuation of the parameter under the corresponding historical target dimension, and then the key dimension is determined. Finally, combining the first weight and the second weight, analyze the possibility of the current temperature rise risk under the premise of each actual temperature rise rate and the corresponding abnormal target dimension, and then more accurately verify the existence of the temperature rise risk.

[0009] Optionally, verifying the existence of the temperature rise risk based on the first weight, the second weight, the actual temperature rise rate, and the corresponding abnormal target dimension specifically includes: Determine the key rate interval where the actual temperature rise rate is located as the target rate interval, and when the abnormal target dimension corresponding to the actual temperature rise rate is the key dimension, determine the corresponding abnormal target dimension as the important dimension; If there is the important dimension among the key dimensions corresponding to the target rate interval, determine the corresponding target rate interval as the important rate interval, and calculate the first product of the first weight of the important rate interval and the second weights of the corresponding important dimensions; Sum up the first products to obtain the sum of the first products corresponding to the actual temperature rise rate, and sum up the sums of the first products to obtain the final sum of products; If the final sum of products is greater than the preset first threshold, it is determined that the verification of the existence of the temperature rise risk passes.

[0010] By adopting the above technical solution, the larger the sum of the first products, the greater the possibility of the temperature rise risk when the corresponding actual temperature rise rate appears in the monitored electrical connection point, or when the temperature rise rate is within the corresponding important rate interval. If the final sum of products is greater than the first threshold, it means that the overall possibility of the temperature rise risk in the monitored electrical connection point from the start of operation to the current is relatively large, indicating that there is indeed a temperature rise risk in the monitored electrical connection point, and then it is determined that the verification passes.

[0011] Optionally, the method further includes: Determine the monitoring duration of the corresponding important rate interval according to the sum of the first products. The larger the sum of the first products, the longer the corresponding monitoring duration when the real-time temperature rise rate after the current time of the monitored electrical connection point is within the corresponding important rate interval; For a single said important rate range, determine the monitoring order of the corresponding important dimension according to the first product. The larger the first product, the higher the corresponding monitoring order. Obtain the subsequent temperature rise rate of the electrical connection point to be monitored after the current time, and determine the important rate range in which the subsequent temperature rise rate is located as the reference rate range. Based on the monitoring duration corresponding to the reference rate range and each monitoring order, monitor the parameters of the corresponding important dimension.

[0012] By adopting the above technical solution, the larger the sum of the first products, the greater the possibility of a temperature rise risk when the real-time temperature rise rate of the electrical connection point to be monitored after the current time is within the corresponding important rate range, and the corresponding monitoring duration is longer, so as to timely and effectively detect the temperature rise risk. The larger the first product, the more likely it is that there is a temperature rise risk due to abnormal fluctuations in the parameters of the corresponding important dimension. The higher the monitoring order, the more priority is given to monitoring the parameters of the corresponding important dimension. Finally, according to the monitoring duration corresponding to the reference rate range and each monitoring order, sequentially monitor the parameters of the important dimension corresponding to this reference rate range, so as to perform risk monitoring on the electrical connection point to be monitored with a targeted monitoring duration, monitor the parameters of each important dimension with a targeted monitoring order, and then effectively and timely detect the emerging temperature rise risk.

[0013] Optionally, the method further includes: Sum up the first products corresponding to the same important dimension to obtain the corresponding sum of the second products; Compare the sum of the second products with a preset second threshold. If the sum of the second products is greater than the second threshold, determine the corresponding important dimension as the inducing dimension; Based on the sum of the second products of each inducing dimension, determine the investigation order of the corresponding inducing dimension, and send each investigation order to the terminal of the safety inspection personnel. The larger the sum of the second products, the higher the corresponding investigation order.

[0014] By adopting the above technical solution, if the sum of the second products is greater than the second threshold, it means that when there are abnormal fluctuations in the parameters of the corresponding important dimension, it is more likely to trigger a temperature rise risk. Then, determine the corresponding important dimension as the inducing dimension. The larger the sum of the second products, the more likely it is that the abnormal fluctuations in the parameters of the corresponding inducing dimension will trigger a temperature rise risk, and the higher the investigation order, the more priority is given to the investigation. Further, send the investigation order of each inducing dimension to the terminal of the safety inspection personnel, so as to facilitate the safety inspection personnel to investigate the causes of the risk in sequence and improve the investigation effect. Then, timely handle the temperature rise risk of the electrical connection point to be monitored and avoid subsequent problems of temperature exceeding the limit.

[0015] Optionally, the method further includes: When it is determined that there is a risk of temperature rise at the electrical connection point to be monitored, the actual temperature rise rate in the important rate interval is determined as the reference rate. According to the order from the front to the back of the time nodes corresponding to the reference rate, the sum of the first products corresponding to the important rate intervals where it is located is successively accumulated to obtain the corresponding accumulated result, and each time a sum of the first products is accumulated backward; If the accumulated result is not greater than a preset first threshold, the step of accumulating the sum of the first products corresponding to the important rate intervals according to the order from the front to the back of the time nodes of the reference rate is repeatedly executed until the accumulated result is greater than the first threshold. At this time, the important rate interval corresponding to the last accumulated sum of the first products is determined as the abnormal rate interval corresponding to the electrical connection point to be monitored, and the abnormal rate interval is the rate interval at which the electrical connection point to be monitored has a risk of temperature rise.

[0016] By adopting the above technical solution, when the obtained accumulated result is greater than the first threshold, it indicates that the overall possibility of a temperature rise risk appears to be relatively high. The important rate interval corresponding to the last accumulated sum of the first products is determined as the abnormal rate interval, that is, the rate interval at which the electrical connection point to be monitored has a risk of temperature rise. This shows that as time goes by, when the actual temperature rise rate is within this abnormal rate interval, the probability of a temperature rise risk is relatively high.

[0017] Optionally, the method further includes: When it is determined that there is no risk of temperature rise at the electrical connection point to be monitored, if the real-time temperature rise rate after the current time is not within the abnormal rate interval, the real-time target dimension corresponding to the real-time temperature rise rate is determined, and the real-time target dimension is the target dimension in which the parameter has an abnormal fluctuation after the current time; The key rate interval where the real-time temperature rise rate is located is determined as the final rate interval, and when the real-time target dimension is the key dimension, the corresponding real-time target dimension is determined as the final dimension; Calculate the sum of the second products of the first weight of the final rate interval and the second weights of the corresponding final dimensions to obtain the corresponding sum of the third products; If the sum of the third products is greater than a preset third threshold, an adjustment reminder is issued for the abnormal rate interval.

[0018] By adopting the above technical solution, the larger the sum of the third products, the higher the possibility of the risk of temperature rise. Finally, if the sum of the third products is greater than a preset third threshold, it indicates that the possibility of the risk of temperature rise at the time node corresponding to this real-time temperature rise rate is relatively high, indicating that there is an error in the abnormal rate interval. Then, an adjustment reminder for this abnormal rate interval is sent to the terminal, thereby improving the accuracy of the abnormal rate interval.

[0019] In the second aspect of the present application, a temperature warning device for an electrical connection point is provided, specifically including: A data acquisition module, configured to acquire the current actual temperature of the electrical connection point to be monitored, target parameters of at least one target dimension, and historical temperature data of the same type of connection points, where the target dimension is the dimension that affects the temperature rise of the electrical connection point to be monitored; A temperature prediction module, configured to input each of the target parameters into a preset temperature prediction model to obtain the current normal temperature of the electrical connection point to be monitored when the actual temperature does not exceed the limit. The temperature prediction model is a model that can predict the normal temperature of the electrical connection point based on the parameters that affect the temperature rise of the electrical connection point; A first warning module, configured to calculate the temperature difference between the actual temperature and the normal temperature when the actual temperature is greater than the normal temperature. If the temperature difference is greater than a preset temperature difference threshold, a warning message is issued for the risk of temperature rise; A second warning module, configured to determine whether there is a risk of temperature rise for the electrical connection point to be monitored based on the historical temperature data if the temperature difference is not greater than the temperature difference threshold. If so, a warning message is issued for the risk of temperature rise.

[0020] By adopting the above technical solution, after the data acquisition module acquires the actual temperature, target parameters, and historical temperature data, the temperature prediction module predicts the current normal temperature of the electrical connection point to be monitored. Then, when the temperature difference is greater than the preset temperature difference threshold, the first warning module issues a warning message for the risk of temperature rise. Finally, the second warning module determines whether there is a risk of temperature rise for the electrical connection point to be monitored based on the historical temperature data. If so, a warning message is issued for the risk of temperature rise.

[0021] In the third aspect of the present application, a computer-readable storage medium is provided. A computer program is stored in the computer-readable storage medium. When the computer program is loaded and executed by a processor, the method steps described in any one of the first aspects are executed.

[0022] In the fourth aspect of the present application, an electronic device is provided, specifically including: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, the processor being configured to load and execute the computer program stored in the memory, so that the electronic device executes the method according to any one of the first aspect.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: If the actual temperature is greater than the normal temperature, it indicates that the actual temperature of the electrical connection point to be monitored at the current time is higher than the temperature under normal circumstances, and there may be a risk of temperature rise, which needs to be further verified. If the temperature difference is greater than the preset temperature difference threshold, it indicates that the actual temperature is much higher than the temperature under normal circumstances, indicating that the current actual temperature is unreasonable. Although the temperature is not exceeded, there is a potential risk of temperature rise, then a warning message is issued, so as to identify potential risks at the stage when the temperature is not exceeded and issue a warning in advance; if the temperature difference is not greater than the temperature difference threshold, it indicates that the actual temperature is slightly higher than the temperature under normal circumstances, which may be normal temperature fluctuations, but the risk of temperature rise cannot be excluded. Then, referring to the historical temperature data, it is determined again whether there is a risk of temperature rise at the electrical connection point to be monitored. When there is a risk of temperature rise, a targeted warning is issued, thereby improving the timeliness of temperature warning for the electrical connection point. Description of the Drawings

[0024] Figure 1 is a schematic flowchart of a temperature warning method for an electrical connection point provided by an embodiment of the present application; Figure 2 is a schematic structural diagram of a temperature warning device for an electrical connection point provided by an embodiment of the present application; Figure 3 is a schematic structural diagram of another temperature warning device for an electrical connection point provided by an embodiment of the present application.

[0025] Description of the reference numerals: 11, data acquisition module; 12, temperature prediction module; 13, first warning module; 14, second warning module; 15, joint monitoring module; 16, cause investigation module; 17, interval determination module; 18, adjustment reminder module. Detailed Embodiments

[0026] In order to enable those skilled in the art to better understand the technical solutions in this specification, the following will clearly and completely describe the technical solutions in the embodiments of this specification with reference to the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments.

[0027] In the description of the embodiments of the present application, words such as "exemplarily", "for example", or "for illustration" are used to give examples, illustrations, or explanations. Any embodiment or design solution described as "exemplarily", "for example", or "for illustration" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplarily", "for example", or "for illustration" is intended to present the relevant concepts in a specific manner.

[0028] In the description of the embodiments of the present application, the term "and / or" is merely an association relationship describing associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, B exists alone, and both A and B exist simultaneously. Additionally, unless otherwise specified, the meaning of the term "plural" 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. Furthermore, the terms "first" and "second" are only used for descriptive purposes and should not be construed as indicating or implying relative importance or implicitly indicating the technical features indicated. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The terms "include", "comprise", "have" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0029] See Figure 1 , the embodiments of the present application disclose a schematic flowchart of a temperature warning method for electrical connection points, which can be implemented depending on a computer program or run on a temperature warning device for electrical connection points based on the von Neumann architecture. This computer program can be integrated in an application or run as an independent tool-type application, and specifically includes: S101: Obtain the current actual temperature of the electrical connection point to be monitored, the target parameters of at least one target dimension, and the historical temperature data of the same type of connection points.

[0030] Specifically, in the embodiments of the present application, the target dimension is the dimension that affects the temperature rise of the electrical connection point to be monitored. The target dimension includes, but is not limited to, dimensions such as the ambient temperature, load current, voltage fluctuation, and harmonics of the electrical connection point to be monitored. The target parameter is the parameter data corresponding to the target dimension. The electrical connection point is a key part for current transmission. When current passes through, due to the existence of the contact resistance at the electrical connection point, electrical energy will be converted into heat energy here, resulting in the temperature rise of the electrical connection point, which greatly affects the safe and stable operation of the electrical system. The electrical connection point to be monitored is the electrical connection point for real-time monitoring of the temperature rise risk. The actual temperature is the current real-time temperature at the electrical connection point to be monitored. The same type of connection point is the connection point in the same busbar as the electrical connection point to be monitored. The historical temperature data is the real-time temperature within the historical preset time when the same type of connection point does not have a temperature overrun.

[0031] Further, the execution subject of the temperature warning method for the electrical connection point disclosed in the embodiments of the present application is a server. The server is wirelessly connected to the terminal. The server is an independent physical server. In other embodiments, it can also be a cluster composed of multiple physical servers. The terminal can be a personal computer or a smart phone. A feasible way to obtain the actual temperature and target parameters is as follows: obtain the actual temperature through a preset temperature sensor. In addition, obtain the ambient temperature of the electrical connection point to be monitored through a preset temperature sensor, and obtain the load current of the electrical connection point to be monitored through a preset Hall effect sensor. Then obtain parameters such as the voltage fluctuation and harmonics of the electrical connection point to be monitored through a power quality analyzer. Furthermore, obtain the target parameters of the target dimension. Further, a feasible way to obtain the historical temperature data of the same type of connection point is: obtain the historical temperature data from the historical temperature data monitoring record of the temperature sensor set at the same type of connection point. It should be noted that the server is wirelessly connected to the above various sensors. Temperature overrun means that the temperature at the electrical connection point exceeds the preset temperature threshold.

[0032] S102: When the actual temperature does not exceed the limit, input each target parameter into a preset temperature prediction model to obtain the current normal temperature of the electrical connection point to be monitored.

[0033] Specifically, the temperature prediction model is a model that can predict the temperature of an electrical connection point under normal conditions based on the parameters that affect the temperature rise of the electrical connection point. Compare the actual temperature with a preset temperature threshold. If the actual temperature does not exceed the temperature threshold, it is determined that the actual temperature is not over the limit. Then, input each target parameter into the preset temperature prediction model to obtain the current normal temperature of the electrical connection point to be detected. It should be noted that the temperature prediction model is a hybrid architecture model trained by combining a deep neural network and a long short-term memory network. In other embodiments, the temperature prediction model can also be a hybrid architecture model trained by combining a long short-term memory network and a random forest. It should be noted that the training process is briefly described as follows: Use the temperature samples of the electrical connection point under normal conditions and the parameter samples of each target dimension as training samples to train the model. During the process, adjust the parameters through the backpropagation gradient algorithm until the model converges. This is prior art and will not be elaborated here.

[0034] S103: When the actual temperature is greater than the normal temperature, calculate the temperature difference between the actual temperature and the normal temperature. If the temperature difference is greater than the preset temperature difference threshold, issue a warning message for the temperature rise risk.

[0035] Specifically, compare the actual temperature with the normal temperature. If the actual temperature is greater than the normal temperature, it means that the actual temperature of the electrical connection point to be monitored at the current time is higher than the temperature under normal conditions, and there may be a risk of temperature rise, which needs to be further verified. Calculate the temperature difference between the actual temperature and the normal temperature. If the temperature difference is greater than the preset temperature difference threshold, it means that the actual temperature is much higher than the temperature under normal conditions, indicating that the current actual temperature is unreasonable. Although the temperature is not over the limit, there is a risk of temperature rise. Then, send a warning message for the temperature rise risk to the terminal of the safety inspection personnel, so as to identify potential risks before the temperature exceeds the limit, issue a warning in advance, and avoid the occurrence of safety accidents.

[0036] S104: If the temperature difference is not greater than the temperature difference threshold, based on the historical temperature data, determine whether there is a risk of temperature rise for the electrical connection point to be monitored. If so, issue a warning message for the temperature rise risk.

[0037] Specifically, if the temperature difference is not greater than the temperature difference threshold, it indicates that the actual temperature is less higher than the normal temperature. It may be normal temperature fluctuations, but the risk of temperature increase cannot be excluded. Then, based on the historical temperature data, curve fitting is performed through a preset MATLAB tool to obtain the normal temperature fluctuation curve. Then, according to the historical temperature records of the temperature sensor at the electrical connection point to be monitored, at least one temperature before the current time is obtained, and curve fitting is performed through the MATLAB tool in combination with the current actual temperature to obtain the actual temperature fluctuation curve. Finally, the normal temperature fluctuation curve and the actual temperature fluctuation curve are fitted to obtain the fitting rate. If the fitting rate is not less than the preset fitting rate threshold, it indicates that the similarity between the two curves is high, indicating that the current actual temperature of the electrical connection point to be monitored belongs to the normal temperature fluctuation, and it is determined that there is no risk of temperature increase at the electrical connection point to be monitored; otherwise, it is determined that there is a risk of temperature increase at the electrical connection point to be monitored. Finally, if it is determined that there is a risk of temperature increase, a targeted warning message is sent to the terminal of the safety inspection personnel.

[0038] In other embodiments, if it is determined that there is a risk of temperature increase, then at least one actual temperature increase rate and the corresponding at least one abnormal target dimension of the electrical connection point to be monitored during the time period from the start of operation to the current time are obtained. The specific process is as follows: Calculate the temperature difference between the temperature value at the time node when the temperature starts to rise and the temperature value at the subsequent time node when the temperature starts to drop, and divide the temperature difference by the time interval between the two time nodes to obtain the actual temperature increase rate. Through the monitoring records of the corresponding sensors, the parameters of each target dimension during this time interval are obtained, and curve fitting is performed based on multiple parameters to obtain the actual change curve of the parameters. Then, the actual change curve of the parameters is fitted with the preset normal change curve of the parameters of this target dimension. If the fitting rate is less than the fitting rate threshold, it indicates that there are abnormal fluctuations in the parameters of this target dimension, and then the abnormal target dimension is determined. Among them, the abnormal target dimension is the target dimension where the parameters have abnormal fluctuations.

[0039] Further, based on the historical monitoring records of temperature overrun of the same type of connection points of the electrical connection point to be monitored stored in advance, at least one rate interval where the historical temperature increase rates of the same type of connection points that have experienced temperature overrun are located is obtained, and the first occurrence times of each rate interval are counted. The larger the first occurrence times, the more likely it is to have a temperature overrun problem when the temperature increase rate of the same type of connection points is in the corresponding rate interval. In the order from largest to smallest of the first occurrence times, the first number of rate intervals is selected from each rate interval and determined as the key rate intervals, that is, the rate intervals where temperature overrun is likely to occur subsequently.

[0040] Further, when the historical temperature rise rate is within a single key rate range and the temperature exceeds the limit, obtain the historical target dimension where the parameter has abnormal fluctuations. Count the second occurrence times of each historical target dimension. The larger the second occurrence times, the more likely it is that the temperature will exceed the limit subsequently when the parameter has abnormal fluctuations under the corresponding historical target dimension. Select the second number of historical target dimensions from each historical target dimension in descending order of the second occurrence times, and determine them as the key dimensions corresponding to this key rate range, that is, the target dimensions where the temperature is more likely to exceed the limit subsequently when the parameter has abnormal fluctuations. It should be noted that the historical monitoring records include different historical temperature rise rates before the temperature of the same type of connection point exceeds the limit and the historical target dimensions where the parameter has abnormal fluctuations when the temperature exceeds the limit.

[0041] Further, determine the first weight of each key rate range and the second weight of the key dimension corresponding to each key rate range. Among them, the first weight is the ratio of the first occurrence times of each key rate range to the sum of the first occurrence times of all key rate ranges. The second weight is the ratio of the second occurrence times of a single key dimension corresponding to the key rate range to the sum of the second occurrence times of all key dimensions.

[0042] Finally, based on the first weight, the second weight, the actual temperature rise rate, and the corresponding abnormal target dimension, verify the existence of the temperature rise risk. After the verification passes, send a warning message for the temperature rise risk. Through the verification process, the accuracy of the temperature rise risk determination is improved to a certain extent, so as to achieve a more accurate warning.

[0043] In an implementable embodiment, the process of verifying the existence of the temperature rise risk is as follows: Determine the key rate interval in which the single actual temperature rise rate is located as the target rate interval, and when the abnormal target dimension corresponding to the actual temperature rise rate is the key dimension, determine the corresponding abnormal target dimension as the important dimension. If this important dimension exists among the key dimensions corresponding to the target rate interval, then determine the target rate interval as the important rate interval. Calculate the first product of the first weight of the important rate interval and the second weights of the corresponding important dimensions. The larger the first product, the more likely it is that parameter abnormal fluctuations occur in the corresponding important dimension at this actual temperature rise rate, and the more likely it is that the electrical connection point to be monitored has a temperature rise risk, and the more likely it is that a temperature overlimit problem will occur subsequently. Further, sum up the first products to obtain the sum of the first products corresponding to the actual temperature rise rate. The larger the sum of the first products, the greater the possibility that the electrical connection point to be monitored has the corresponding actual temperature rise rate or the temperature rise rate is in the corresponding important rate interval, and there is a temperature rise risk. Then, sum up the sums of the first products to obtain the final sum of products. Finally, compare the final sum of products with a preset first threshold. If the final sum of products is greater than the first threshold, it indicates that the overall possibility of the electrical connection point to be monitored having a temperature rise risk from the start of operation to the current is relatively large, indicating that the electrical connection point to be monitored indeed has a temperature rise risk, and then determine that the verification passes; otherwise, determine that the verification fails.

[0044] In one embodiment, according to the sum of the first products, determine the monitoring duration of the corresponding important rate interval, specifically determine the monitoring duration corresponding to the sum of the first products through a preset duration matching table. The larger the sum of the first products, the greater the possibility that the electrical connection point to be monitored has a temperature rise risk when the real-time temperature rise rate after the current time is in the corresponding important rate interval, and the corresponding monitoring duration is longer, so as to timely and effectively detect the temperature rise risk. Among them, the duration matching table includes different sums of the first products and the corresponding monitoring durations, all of which are set based on human experience.

[0045] Further, for a single important rate interval, according to the first product, determine the monitoring order of the corresponding important dimension. The larger the first product, the easier it is for the corresponding important dimension to have a risk of temperature rise when there is an abnormal fluctuation in parameters, and the higher the monitoring order. The parameters of the corresponding important dimension are monitored with higher priority. Finally, obtain the subsequent temperature rise rate of the electrical connection point to be monitored after the current time, determine the important rate interval where the subsequent temperature rise rate is located as the reference rate interval, and according to the monitoring duration and each monitoring order corresponding to this reference rate interval, sequentially monitor the parameters of the important dimension corresponding to this reference rate interval, so as to conduct risk monitoring on the electrical connection point to be monitored with a targeted monitoring duration, monitor the parameters of each important dimension with a targeted monitoring order, and then effectively and timely discover the emerging temperature rise risk, improving the accuracy of temperature warning for the electrical connection point to be monitored.

[0046] In another embodiment, after issuing a warning message for the temperature rise risk, sum up the first products corresponding to the same important dimension to obtain the corresponding sum of the second products. The larger the sum of the second products, the greater the possibility of subsequent temperature overrun when there is an abnormal fluctuation in the parameters of the corresponding important dimension, and the easier it is to induce the temperature rise risk. Then, compare the sum of the second products of each important dimension with a preset second threshold. If the sum of the second products is greater than the second threshold, it indicates that it is relatively easy to trigger the temperature rise risk when there is an abnormal fluctuation in the parameters of the corresponding important dimension. Then, determine the corresponding important dimension as the inducing dimension. Finally, according to the sum of the second products corresponding to each inducing dimension, determine the investigation order of the corresponding inducing dimension. The larger the sum of the second products, the easier it is for the abnormal fluctuation of the parameters of the corresponding inducing dimension to trigger the temperature rise risk, and the higher the investigation order. Further, send the investigation order of each inducing dimension to the terminal of the safety inspection personnel, so as to facilitate the safety inspection personnel to investigate the causes of the risk in sequence and improve the investigation effect, and then timely handle the temperature rise risk of the electrical connection point to be monitored, avoiding the problem of subsequent temperature overrun.

[0047] In another embodiment, when it is determined that there is a temperature rise risk for the electrical connection point to be monitored, determine the actual temperature rise rate in the important rate interval as the reference rate, and sequentially accumulate the sum of the first products corresponding to the important rate interval in the order from the front to the back according to the time node corresponding to the reference rate, where each time a sum of the first products is accumulated backward during the accumulation process.

[0048] Compare the accumulated result with a preset first threshold. If the accumulated result is not greater than the first threshold, it indicates that the overall possibility of a temperature rise risk is relatively small. Then, repeat the step of accumulating the sum of the first products corresponding to the important rate intervals in the order from the front to the back according to the time nodes of the reference rate until the obtained accumulated result is greater than the first threshold. At this time, it indicates that the overall possibility of a temperature rise risk is relatively large. Determine the important rate interval corresponding to the last accumulated sum of the first products as the abnormal rate interval, that is, the rate interval where the temperature rise risk occurs for the electrical connection point to be monitored. It shows that when the actual temperature rise rate is within this abnormal rate interval over time, the probability of a temperature rise risk is relatively high. Exemplarily, in the order from the front to the back of the time nodes, the reference rates are V1 (time node 10:00), V2 (time node 10:30), and V3 (time node 11:00). The sum of the first products corresponding to the important rate interval where V1 is located is S1, the sum of the first products corresponding to the important rate interval where V2 is located is S2, and the sum of the first products corresponding to the important rate interval where V3 is located is S3. The accumulation process is as follows: First, accumulate S1 and S2. If the accumulated result is not greater than the first threshold, continue to accumulate backward, that is, accumulate S1, S2, and S3. If the newly obtained accumulated result is greater than the first threshold, then determine the important rate interval V3 corresponding to the last accumulated S3 as the abnormal rate interval.

[0049] In one embodiment, when it is determined that there is no temperature rise risk for the current electrical connection point to be monitored, if the real-time temperature rise rate after the current time is not within the abnormal rate interval, it indicates that there is no temperature rise risk under normal circumstances. Further, determine the target dimension in which the parameters fluctuate abnormally between the current time and the time node corresponding to the real-time temperature rise rate, that is, the real-time target dimension. The specific determination process can refer to the determination process of the abnormal target dimension above and will not be elaborated here.

[0050] Further, determine the key rate interval where this real-time temperature rise rate is located as the final rate interval, and when the real-time target dimension is the key dimension, determine the corresponding real-time target dimension as the final dimension. Calculate the second product of the first weight of the final rate interval and the second weight of each corresponding final dimension, and sum up the second products to obtain the corresponding sum of the third products. The larger the sum of the third products, the higher the possibility of a temperature rise risk. Finally, if the sum of the third products is greater than the preset third threshold, it indicates that the possibility of a temperature rise risk at the time node corresponding to this real-time temperature rise rate is relatively high, indicating that there is an error in the abnormal rate interval. Then, send an adjustment reminder for this abnormal rate interval to the terminal to improve the accuracy of the abnormal rate interval. On the contrary, if the sum of the third products is not greater than the third threshold, it indicates that there is probably no temperature rise risk, thus verifying that the abnormal rate interval is relatively accurate.

[0051] The implementation principle of the temperature warning method for the electrical connection point in the embodiment of the present application is as follows: If the actual temperature is greater than the normal temperature, it indicates that the actual temperature of the electrical connection point to be monitored at the current time is higher than the temperature under normal conditions, and there may be a risk of temperature increase, which needs to be further verified. If the temperature difference is greater than the preset temperature difference threshold, it indicates that the actual temperature is much higher than the temperature under normal conditions, indicating that the current actual temperature is unreasonable. Although the temperature has not exceeded the limit, there is a potential risk of temperature increase. Then, a warning message is sent, so as to identify potential risks in the stage when the temperature has not exceeded the limit and issue a warning earlier; If the temperature difference is not greater than the temperature difference threshold, it indicates that the actual temperature is slightly higher than the temperature under normal conditions, which may be normal temperature fluctuations, but the risk of temperature increase cannot be excluded. Then, referring to the historical temperature data, it is determined again whether there is a risk of temperature increase for the electrical connection point to be monitored. When there is a risk of temperature increase, a targeted warning is issued, thereby improving the timeliness of temperature warning for the electrical connection point.

[0052] The following is an embodiment of the device of the present application, which can be used to execute the embodiment of the method of the present application. For the details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method of the present application.

[0053] Please refer to Figure 2 , which is a schematic structural diagram of the temperature warning device for the electrical connection point provided by the embodiment of the present application. The temperature warning device applied to the electrical connection point can be implemented as all or part of the device through software, hardware, or a combination of both. The device includes a data acquisition module 11, a temperature prediction module 12, a first warning module 13, and a second warning module 14.

[0054] The data acquisition module 11 is used to acquire the current actual temperature of the electrical connection point to be monitored, the target parameters of at least one target dimension, and the historical temperature data of the same type of connection points, where the target dimension is the dimension that affects the temperature increase of the electrical connection point to be monitored; The temperature prediction module 12 is used to input each target parameter into a preset temperature prediction model when the actual temperature does not exceed the limit, so as to obtain the normal temperature of the electrical connection point to be monitored at present. The temperature prediction model is a model that can predict the normal temperature of the electrical connection point based on the parameters that affect the temperature increase of the electrical connection point. The first warning module 13 is used to calculate the temperature difference between the actual temperature and the normal temperature when the actual temperature is greater than the normal temperature. If the temperature difference is greater than the preset temperature difference threshold, a warning message is issued for the risk of temperature increase; The second warning module 14 is used to determine whether there is a risk of temperature increase for the electrical connection point to be monitored based on the historical temperature data if the temperature difference is not greater than the temperature difference threshold. If so, a warning message is issued for the risk of temperature increase.

[0055] Optionally, the second warning module 14 is specifically configured to: If so, obtain the actual temperature rise rate at at least one time node of the electrical connection point to be monitored and the corresponding at least one abnormal target dimension during the time from the start of operation to the current time, where the abnormal target dimension is the target dimension with abnormal fluctuations in parameters; Obtain the rate intervals where at least one historical temperature rise rate of the same type of connection points that have experienced temperature overrun is located, count the first occurrence times of each rate interval, and select the first number of rate intervals from each rate interval in descending order of the first occurrence times to determine the key rate intervals; Obtain the historical target dimensions with abnormal parameter fluctuations when the historical temperature rise rate is within a single key rate interval and a temperature overrun occurs, count the second occurrence times of each historical target dimension, and select the second number of historical target dimensions from each historical target dimension in descending order of the second occurrence times to determine the key dimensions corresponding to the single key rate interval; Determine the first weight of each key rate interval and the second weight of the key dimension corresponding to each key rate interval. The first weight is the ratio of the first occurrence time of each key rate interval to the sum of the first occurrence times of all key rate intervals, and the second weight is the ratio of the second occurrence time of the single key dimension corresponding to the key rate interval to the sum of the second occurrence times of all key dimensions; Based on the first weight, the second weight, the actual temperature rise rate, and the corresponding abnormal target dimension, verify the existence of the temperature rise risk; After the verification passes, issue a warning message for the temperature rise risk.

[0056] Optionally, the second warning module 14 is specifically configured to: Determine the key rate interval where the actual temperature rise rate is located as the target rate interval, and when the abnormal target dimension corresponding to the actual temperature rise rate is the key dimension, determine the corresponding abnormal target dimension as the important dimension; If there is an important dimension among the key dimensions corresponding to the target rate interval, determine the corresponding target rate interval as the important rate interval, and calculate the first product of the first weight of the important rate interval and the second weights of the corresponding important dimensions; Sum up the first products to obtain the sum of the first products of the corresponding actual temperature rise rate, and sum up the sums of the first products to obtain the final sum of products; If the final sum of products is greater than the preset first threshold, it is determined that the verification of the existence of the temperature rise risk passes.

[0057] Optionally, as Figure 3 shown, the device further includes a contact monitoring module 15, specifically configured to: Determine the monitoring duration of the corresponding important rate interval according to the sum of the first products. The larger the sum of the first products, the longer the monitoring duration when the real-time temperature rising rate after the current time of the electrical connection point to be monitored is within the corresponding important rate interval; For a single important rate interval, determine the monitoring order of the corresponding important dimension according to the first product. The larger the first product, the higher the corresponding monitoring order; Obtain the subsequent temperature rising rate of the electrical connection point to be monitored after the current time, and determine the important rate interval where the subsequent temperature rising rate is located as the reference rate interval; Based on the monitoring duration corresponding to the reference rate interval and each monitoring order, monitor the parameters of the corresponding important dimension.

[0058] Optionally, the device further includes an inducement investigation module 16, which is specifically used for: Sum up the first products corresponding to the same important dimension to obtain the corresponding sum of the second products; Compare the sum of the second products with a preset second threshold. If the sum of the second products is greater than the second threshold, determine the corresponding important dimension as the inducement dimension; Based on the sum of the second products of each inducement dimension, determine the investigation order of the corresponding inducement dimension, and send each investigation order to the terminal of the safety inspection personnel. The larger the sum of the second products, the higher the corresponding investigation order.

[0059] Optionally, the device further includes an interval determination module 17, which is specifically used for: When it is determined that there is a temperature rising risk for the electrical connection point to be monitored, determine the actual temperature rising rate within the important rate interval as the reference rate. In the order from front to back according to the time node corresponding to the reference rate, successively accumulate the sum of the first products corresponding to the important rate interval where it is located to obtain the corresponding accumulation result, and accumulate one sum of the first products each time when moving backward; If the accumulation result is not greater than a preset first threshold, repeat the step of accumulating the sum of the first products corresponding to the important rate interval where it is located in the order from first to last according to the time node of the reference rate until the accumulation result is greater than the first threshold. Then, determine the important rate interval corresponding to the last accumulated sum of the first products as the abnormal rate interval of the electrical connection point to be monitored. The abnormal rate interval is the rate interval at which the electrical connection point to be monitored has a temperature rising risk.

[0060] Optionally, the device further includes an adjustment reminder module 18, which is specifically used for: When it is determined that there is no risk of temperature rise at the electrical connection point to be monitored, if the real-time temperature rise rate after the current time is not in the abnormal rate range, determine the real-time target dimension corresponding to the real-time temperature rise rate, where the real-time target dimension is the target dimension in which the parameter fluctuates abnormally after the current time; Determine the key rate range in which the real-time temperature rise rate is located as the final rate range, and when the real-time target dimension is the key dimension, determine the corresponding real-time target dimension as the final dimension; Calculate the sum of the second products of the first weight of the final rate range and the second weights of the corresponding final dimensions to obtain the corresponding sum of the third products; If the sum of the third products is greater than the preset third threshold, send an adjustment reminder for the abnormal rate range.

[0061] It should be noted that when the temperature warning device of an electrical connection point provided in the above embodiment executes the temperature warning method of the electrical connection point, only the above division of each functional module is used for example. In practical applications, the above functions can be allocated to different functional modules according to needs, 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 temperature warning device of an electrical connection point and the embodiment of the temperature warning method of an electrical connection point provided in the above embodiment belong to the same concept. The implementation process is detailed in the method embodiment and will not be repeated here.

[0062] The embodiment of the present application also discloses a computer-readable storage medium, and the computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, it adopts the temperature warning method of an electrical connection point in the above embodiment.

[0063] Among them, the computer program can be stored in a computer-readable medium. The computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some middleware form, etc. The computer-readable medium includes any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the computer-readable medium includes but is not limited to the above components.

[0064] Among them, through this computer-readable storage medium, the temperature warning method of an electrical connection point in the above embodiment is stored in the computer-readable storage medium, and is loaded and executed on the processor to facilitate the storage and application of the above method.

[0065] An embodiment of the present application also discloses an electronic device. When a computer program stored in a computer-readable storage medium is loaded and executed by a processor, the above-mentioned temperature warning method for an electrical connection point is adopted.

[0066] Among them, the electronic device can be a desktop computer, a laptop computer, or a cloud server, etc. And the electronic device includes, but is not limited to, a processor and a memory. For example, the electronic device can also include input / output devices, network access devices, and a bus, etc.

[0067] Among them, the processor can adopt a central processing unit (CPU). Of course, according to the actual usage situation, other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. can also be adopted. The general-purpose processor can adopt a microprocessor or any conventional processor, etc. The present application does not limit this.

[0068] Among them, the memory can be an internal storage unit of the electronic device. For example, the hard disk or memory of the electronic device, or it can also be an external storage device of the electronic device. For example, a plug-in hard disk, a smart media card (SMC), a secure digital card (SD), or a flash card (FC), etc. equipped on the electronic device. And the memory can also be a combination of the internal storage unit and the external storage device of the electronic device. The memory is used to store the computer program and other programs and data required by the electronic device. The memory can also be used to temporarily store the data that has been output or will be output. The present application does not limit this.

[0069] Among them, through this electronic device, the above-mentioned temperature warning method for an electrical connection point in the above embodiment is stored in the memory of the electronic device, and is loaded and executed on the processor of the electronic device, which is convenient to use.

[0070] The above are only exemplary embodiments of the present disclosure and should not be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. The present application aims to cover any variations, uses, or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include the common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The description and embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A temperature warning method for an electrical connection point, characterized in that, The method includes: Obtaining the current actual temperature of the electrical connection point to be monitored, the target parameters of at least one target dimension, and the historical temperature data of the same type of connection points, where the target dimension is the dimension that affects the temperature rise of the electrical connection point to be monitored; When the actual temperature is not exceeded, inputting each of the target parameters into a preset temperature prediction model to obtain the current normal temperature of the electrical connection point to be monitored, where the temperature prediction model is a model that can predict the normal temperature of the electrical connection point based on the parameters that affect the temperature rise of the electrical connection point; When the actual temperature is greater than the normal temperature, calculating the temperature difference between the actual temperature and the normal temperature, and if the temperature difference is greater than a preset temperature difference threshold, issuing a warning message for the temperature rise risk; If the temperature difference is not greater than the temperature difference threshold, determining whether there is a temperature rise risk for the electrical connection point to be monitored based on the historical temperature data, and if so, issuing a warning message for the temperature rise risk.

2. The temperature warning method for the electrical connection point according to claim 1, wherein The "if so, issuing a warning message for the temperature rise risk" specifically includes: If so, obtaining the actual temperature rise rate of at least one time node of the electrical connection point to be monitored and the corresponding at least one abnormal target dimension within the time from the start of operation to the current, where the abnormal target dimension is the target dimension in which the parameter has an abnormal fluctuation; Obtaining the rate intervals in which at least one historical temperature rise rate of the same type of connection points that have experienced temperature overrun is located, counting the first occurrence times of each rate interval, and selecting the first number of rate intervals from each of the rate intervals in descending order of the first occurrence times to determine as the key rate intervals; Obtaining the historical target dimensions in which the parameters have abnormal fluctuations when the historical temperature rise rate is within a single key rate interval and the temperature overrun occurs, counting the second occurrence times of each historical target dimension, and selecting the second number of historical target dimensions from each of the historical target dimensions in descending order of the second occurrence times to determine as the key dimensions corresponding to the single key rate interval; Determining the first weight of each key rate interval and determining the second weight of the key dimensions corresponding to each key rate interval, where the first weight is the ratio of the first occurrence time of each key rate interval to the sum of the first occurrence times of all key rate intervals, and the second weight is the ratio of the second occurrence time of the single key dimension corresponding to the key rate interval to the sum of the second occurrence times of all key dimensions; Verifying the existence of the temperature rise risk based on the first weight, the second weight, the actual temperature rise rate, and the corresponding abnormal target dimension; After the verification is passed, issuing a warning message for the temperature rise risk.

3. The temperature warning method for an electrical connection point according to claim 2, characterized in that, The "verifying the existence of the temperature rise risk based on the first weight, the second weight, the actual temperature rise rate, and the corresponding abnormal target dimension" specifically includes: Determine the key rate interval in which the actual temperature rise rate is located as the target rate interval, and when the abnormal target dimension corresponding to the actual temperature rise rate is the key dimension, determine the corresponding abnormal target dimension as the important dimension; If the important dimension exists in each key dimension corresponding to the target rate interval, the corresponding target rate interval is determined as the important rate interval, and a first product of a first weight of the important rate interval and a second weight of each corresponding important dimension is calculated; Summing the first products to obtain a sum of first products of corresponding actual temperature rise rates, and summing the sums of the first products to obtain a final sum of products; If the final sum of the products is greater than a preset first threshold, it is determined that the existence check of the temperature rise risk has passed.

4. The temperature warning method for the electrical connection point according to claim 3, characterized in that, The method further comprises: Determine the monitoring duration of the corresponding important rate interval according to the sum of the first products, the larger the sum of the first products is, the longer the corresponding monitoring duration is when the real-time temperature rise rate of the monitored electrical connection point after the current time is in the corresponding important rate interval; For a single important rate interval, determining a monitoring order of a corresponding important dimension according to the first product, wherein a larger the first product is, a higher corresponding monitoring order is; Acquire a subsequent temperature rise rate of the electrical connection point to be monitored after the current time, and determine an important rate interval in which the subsequent temperature rise rate is located as a reference rate interval; Based on the monitoring duration and monitoring sequences corresponding to the reference rate interval, the parameters of the corresponding important dimensions are monitored.

5. The temperature warning method for an electrical connection point according to claim 3, characterized in that, The method further comprises: Sum the first products corresponding to the same important dimension to obtain the sum of the corresponding second products; comparing the sum of the second products with a preset second threshold, and if the sum of the second products is greater than the second threshold, determining the corresponding important dimension as the inducement dimension; Based on the sum of the second products of each of the inducement dimensions, the screening order of the corresponding inducement dimensions is determined, and each screening order is sent to the terminal of the security inspector. The larger the sum of the second products, the higher the corresponding screening order.

6. The temperature warning method for the electrical connection point according to claim 3, characterized in that, The method further comprises: When it is determined that there is a risk of temperature rise at the electrical connection point to be monitored, the actual temperature rise rate in the important rate interval is determined as the reference rate, and the sum of the first products corresponding to the important rate interval is successively accumulated in the order from the front to the back of the time nodes corresponding to the reference rate to obtain the corresponding accumulation result, and the sum of the first products is accumulated each time; If the accumulated result is not greater than the preset first threshold, repeat the step of accumulating the sum of the first products corresponding to the important rate interval in the order from the time nodes of the reference rate to the last accumulated time node until the accumulated result is greater than the first threshold, and determine the abnormal rate interval corresponding to the electrical connection point to be monitored with the important rate interval corresponding to the last accumulated sum of the first products, and the abnormal rate interval is the rate interval in which the electrical connection point to be monitored has a risk of temperature rise.

7. The temperature warning method for the electrical connection point according to claim 6, wherein The method further comprises: When it is determined that there is no risk of temperature rise at the electrical connection point to be monitored, if the real-time temperature rise rate after the current time is not within the abnormal rate range, determine the real-time target dimension corresponding to the real-time temperature rise rate, where the real-time target dimension is the target dimension in which the parameter fluctuates abnormally after the current time; Determine the key rate range in which the real-time temperature rise rate is located as the final rate range, and when the real-time target dimension is the key dimension, determine the corresponding real-time target dimension as the final dimension; Calculate the sum of the second products of the first weight of the final rate range and the second weight of each corresponding final dimension to obtain the corresponding sum of the third products; If the sum of the third products is greater than a preset third threshold, send an adjustment reminder for the abnormal rate range.

8. A temperature warning device for an electrical connection point, characterized in that, Including: A data acquisition module (11) for acquiring the current actual temperature of the electrical connection point to be monitored, the target parameters of at least one target dimension, and the historical temperature data of the same type of connection point, where the target dimension is the dimension that affects the temperature rise of the electrical connection point to be monitored; A temperature prediction module (12) for inputting each of the target parameters into a preset temperature prediction model when the actual temperature does not exceed the limit, to obtain the normal temperature of the electrical connection point to be monitored, where the temperature prediction model is a model that can predict the normal temperature of the electrical connection point based on the parameters that affect the temperature rise of the electrical connection point; A first warning module (13) for calculating the temperature difference between the actual temperature and the normal temperature when the actual temperature is greater than the normal temperature, and if the temperature difference is greater than a preset temperature difference threshold, sending a warning message for the temperature rise risk; A second warning module (14) for determining whether there is a temperature rise risk at the electrical connection point to be monitored based on the historical temperature data if the temperature difference is not greater than the temperature difference threshold, and if so, sending a warning message for the temperature rise risk.

9. A computer-readable storage medium storing a computer program therein, characterized in that, When the computer program is loaded and executed by the processor, the method described in any one of claims 1-7 is adopted.

10. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that, When the processor loads and executes the computer program, the method described in any one of claims 1-7 is adopted.

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