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

Abstract

The application relates to a temperature early warning method and device of an electrical connection point, a storage medium and electronic equipment, and relates to the technical field of electrical safety. The method comprises the following steps: acquiring the current actual temperature of a to-be-monitored electrical connection point, target parameters of at least one target dimension and historical temperature data of the same type of connection point; when the actual temperature is not over 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 greater than the normal temperature, calculating the temperature difference between the actual temperature and the normal temperature, if the temperature difference is greater than a preset temperature difference threshold, an early warning information is issued for the temperature rise risk; if the temperature difference is not greater than the temperature difference threshold, based on the historical temperature data, it is determined whether the to-be-monitored electrical connection point has a temperature rise risk, if yes, an early warning information is issued for the temperature rise risk. The application has the effect of improving the timeliness of temperature early warning of the electrical connection point.

Description

Technical Field

[0001] This application relates to the field of electrical safety technology, specifically to a method, device, storage medium, and electronic device for temperature early warning of electrical connection points. Background Technology

[0002] An electrical connection point is a location or area where two or more electrical devices, components, or conductive materials are electrically connected through a specific method. It is a crucial component of an electrical system and a key factor in its stable operation. If a safety hazard occurs at an electrical connection point, such as excessively high temperature, it will have a significant impact on the stable operation of the electrical system, ranging from causing power outages to damaging electrical equipment and even causing fires. Therefore, temperature warnings for electrical connection points are extremely important.

[0003] Currently, the common method for temperature warning of electrical connection points is to monitor the temperature of the electrical connection point by simply setting a temperature threshold. Once the temperature exceeds the threshold, it is determined that the electrical connection point is overheating and a corresponding warning is issued. Under this method, when the warning is issued, the electrical connection point often already has a safety hazard of overheating, resulting in poor timeliness of temperature warning for electrical connection points. Summary of the Invention

[0004] To improve the timeliness of temperature warning for electrical connection points, this application provides a method, apparatus, storage medium, and electronic device for temperature warning of electrical connection points.

[0005] The first aspect of this application provides a temperature warning method for electrical connection points, specifically including:

[0006] The current actual temperature of the electrical connection point to be monitored, the target parameter of at least one target dimension, and the historical temperature data of similar connection points are obtained. The target dimension is the dimension that affects the temperature rise of the electrical connection point to be monitored.

[0007] When the actual temperature does not exceed the limit, each of the target parameters is input into the preset temperature prediction model to obtain the current normal temperature of the electrical connection point to be monitored. The temperature prediction model is a model that can predict the temperature of the electrical connection point under normal conditions based on the parameters that affect the temperature rise of the electrical connection point.

[0008] When the actual temperature is greater than the normal temperature, the temperature difference between the actual temperature and the normal temperature is calculated. If the temperature difference is greater than a preset temperature difference threshold, an early warning message is issued for the risk of temperature rise.

[0009] If the temperature difference is not greater than the temperature difference threshold, then based on the historical temperature data, it is determined whether there is a risk of temperature rise at the electrical connection point to be monitored. If so, an early warning message is issued for the risk of temperature rise.

[0010] By adopting the above technical solution, when the actual temperature does not exceed the limit, the normal temperature of the electrical connection point under normal conditions is predicted by the temperature prediction model. If the actual temperature is higher than the normal temperature, it indicates that the actual temperature of the electrical connection point under monitoring is higher than the normal temperature at the current time, which may pose a risk of temperature rise and requires further verification. If the temperature difference is greater than the preset temperature difference threshold, it indicates that the actual temperature is significantly higher than the normal temperature, which means that the current actual temperature is unreasonable. Although the temperature does not exceed the limit, there is a potential risk of temperature rise. In this case, an early warning message is issued to identify potential risks before the temperature exceeds the limit and issue early warnings. If the temperature difference is not greater than the temperature difference threshold, it indicates that the actual temperature is only slightly higher than the normal temperature, which may be normal temperature fluctuations. However, the risk of temperature rise cannot be ruled out. In this case, historical temperature data is referenced to determine whether there is a risk of temperature rise at the electrical connection point under monitoring. If there is a risk of temperature rise, a targeted early warning is issued, thereby improving the timeliness of temperature warnings for electrical connection points.

[0011] Optionally, if so, a warning message is issued regarding the risk of rising temperature, specifically including:

[0012] If so, then 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 from the start of operation to the present time. The abnormal target dimension is the target dimension in which the parameter fluctuates abnormally.

[0013] Obtain the rate interval of at least one historical temperature rise rate of the same type of connection point that has exceeded the temperature limit, count the first occurrence number of each rate interval, and select a first number of rate intervals from each rate interval in descending order of the first occurrence number to determine the key rate intervals.

[0014] When the historical temperature rise rate exceeds the limit in a single key rate interval, the historical target dimension with abnormal parameter fluctuations is obtained. The second occurrence number of each historical target dimension is counted. According to the order of the second occurrence number from large to small, the second number of historical target dimensions are selected from each historical target dimension to determine the key dimension corresponding to the single key rate interval.

[0015] A first weight is determined for each of the key rate intervals, and a second weight is determined for the key dimension corresponding to each key rate interval. The first weight is the ratio of the first occurrence of each key rate interval to the sum of the first occurrences of all key rate intervals, and the second weight is the ratio of the second occurrence of a single key dimension corresponding to a key rate interval to the sum of the second occurrences of all key dimensions.

[0016] Based on the first weight, the second weight, the actual temperature rise rate, and the corresponding abnormal target dimension, the existence of temperature rise risk is verified.

[0017] After the verification is passed, an early warning message is issued regarding the risk of temperature rise.

[0018] By adopting the above technical solution, the greater the frequency of the first occurrence, the more likely a temperature exceedance problem will occur when the temperature rise rate of the same type of connection point is within the corresponding rate range, thus identifying the key rate range. Similarly, the greater the frequency of the second occurrence, the more likely a subsequent temperature exceedance will occur when the parameters under the corresponding historical target dimension exhibit abnormal fluctuations, thus identifying the key dimension. Finally, combining the first and second weights, the probability of a temperature rise risk is analyzed under various actual temperature rise rates and corresponding abnormal target dimensions, thereby more accurately verifying the existence of the temperature rise risk.

[0019] Optionally, the verification of the existence of temperature rise risk based on the first weight, the second weight, the actual temperature rise rate, and the corresponding abnormal target dimension specifically includes:

[0020] The key rate interval where the actual temperature rise rate is located is determined as the target rate interval, and when the abnormal target dimension corresponding to the actual temperature rise rate is a key dimension, the corresponding abnormal target dimension is determined as an important dimension.

[0021] If the important dimension exists among the key dimensions corresponding to the target rate interval, then the corresponding target rate interval is determined as the important rate interval, and the first weight of the important rate interval and the first product of the second weight of the corresponding important dimension are calculated.

[0022] Summing each of the first products yields the sum of the first products corresponding to the actual temperature rise rate, and summing each of the first products yields the final sum of products.

[0023] If the sum of the final products is greater than a preset first threshold, then the existence verification of the risk of temperature rise is confirmed to be successful.

[0024] By employing the above technical solution, the larger the sum of the first products, the greater the likelihood of a temperature rise risk when the monitored electrical connection point exhibits a corresponding actual temperature rise rate, or when the temperature rise rate falls within a corresponding critical rate range. If the final sum of the products exceeds the first threshold, it indicates that the overall probability of a temperature rise risk at the monitored electrical connection point from the start of operation to the present is relatively high, confirming that a temperature rise risk does indeed exist at the monitored electrical connection point, thus confirming that the verification has passed.

[0025] Optionally, the method further includes:

[0026] Based on the sum of the first products, the monitoring duration of the corresponding important rate interval is determined. The larger the sum of the first products, the longer the monitoring duration is when the real-time temperature rise rate of the electrical connection point after the current time is within the corresponding important rate interval.

[0027] For a single important rate interval, the monitoring order of the corresponding important dimensions is determined according to the first product. The larger the first product, the earlier the corresponding monitoring order.

[0028] The subsequent temperature rise rate of the electrical connection point to be monitored after the current time is obtained, and the important rate interval in which the subsequent temperature rise rate is located is determined as the reference rate interval.

[0029] Based on the monitoring duration and monitoring sequence corresponding to the reference rate range, parameters of the corresponding important dimensions are monitored.

[0030] By adopting the above technical solution, the larger the sum of the first products, the greater the likelihood of a temperature rise risk when the real-time temperature rise rate of the monitored electrical connection point falls within the corresponding important rate range after the current time. The corresponding monitoring duration should be longer to effectively and promptly detect the temperature rise risk. A larger first product also indicates a greater likelihood of a temperature rise risk when abnormal fluctuations in the parameters of the corresponding important dimensions occur. The earlier the monitoring sequence, the more priority is given to monitoring the parameters of the corresponding important dimensions. Finally, based on the monitoring duration corresponding to the reference rate range and the monitoring sequence, the parameters of the important dimensions corresponding to this reference rate range are monitored sequentially. This allows for targeted risk monitoring of the monitored electrical connection point with specific monitoring durations and targeted parameter monitoring of each important dimension with specific monitoring sequences, thereby effectively and promptly detecting any temperature rise risks.

[0031] Optionally, the method further includes:

[0032] Summing the first products corresponding to the same important dimension yields the sum of the corresponding second products;

[0033] The sum of the second product is compared with a preset second threshold. If the sum of the second product is greater than the second threshold, the corresponding important dimension is determined as the cause dimension.

[0034] Based on the sum of the second products of each of the aforementioned causal dimensions, the corresponding causal dimension investigation order is determined, and each investigation order is sent to the terminal of the security patrol personnel. The larger the sum of the second products, the earlier the corresponding investigation order is.

[0035] By adopting the above technical solution, if the sum of the second products is greater than the second threshold, it indicates that abnormal fluctuations in the parameters of the corresponding important dimension are more likely to trigger a temperature rise risk. Therefore, the corresponding important dimension is identified as the causative dimension. The larger the sum of the second products, the more likely abnormal fluctuations in the parameters of the corresponding causative dimension are to trigger a temperature rise risk, and the earlier it is investigated, the higher its priority. Furthermore, the investigation order of each causative dimension is sent to the terminals of safety inspectors, facilitating their targeted investigation of the causes of risks in a sequential manner, improving the investigation effectiveness, and enabling timely handling of temperature rise risks at monitored electrical connection points to prevent subsequent temperature exceedances.

[0036] Optionally, the method further includes:

[0037] 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 range is determined as the reference rate. According to the time node corresponding to the reference rate from front to back, the sum of the first products corresponding to the important rate range is successively accumulated to obtain the corresponding accumulation result. Each time, the sum of the first products is accumulated.

[0038] 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 in the order of the reference rate time nodes from first to last is repeated until the accumulated result is greater than the first threshold. Then, the important rate interval corresponding to the last accumulated first product sum is determined as the abnormal rate interval corresponding to the electrical connection point to be monitored. The abnormal rate interval is the rate interval in which the electrical connection point to be monitored has a risk of temperature rise.

[0039] By adopting the above technical solution, when the accumulated result is greater than the first threshold, it indicates that the overall probability of a temperature rise risk is relatively high. The important rate interval corresponding to the sum of the first products accumulated at the end is determined as the abnormal rate interval, that is, the rate interval in which the electrical connection point to be monitored will have a temperature rise risk. This indicates 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.

[0040] Optionally, the method further includes:

[0041] 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, then the real-time target dimension corresponding to the real-time temperature rise rate is determined. The real-time target dimension is the target dimension in which the parameter fluctuates abnormally after the current time.

[0042] The key rate range in which the real-time temperature rise rate is located is determined as the final rate range, and when the real-time target dimension is the key dimension, the corresponding real-time target dimension is determined as the final dimension.

[0043] Calculate the first weight of the final rate interval and the second product of the corresponding second weight of each final dimension, and sum them to obtain the sum of the corresponding third products;

[0044] If the sum of the third product is greater than the preset third threshold, an adjustment reminder will be issued for the abnormal rate range.

[0045] By adopting the above technical solution, the larger the sum of the third products, the higher the probability of a temperature rise risk. Finally, if the sum of the third products is greater than the preset third threshold, it indicates that the time point corresponding to this real-time temperature rise rate is more likely to have a temperature rise risk, indicating that there is an error in the abnormal rate range. In this case, an adjustment reminder for this abnormal rate range is sent to the terminal, thereby improving the accuracy of the abnormal rate range.

[0046] A second aspect of this application provides a temperature warning device for an electrical connection point, specifically comprising:

[0047] The data acquisition module is used to acquire the current actual temperature of the electrical connection point to be monitored, the target parameter of at least one target dimension, and the historical temperature data of the same type of connection point. The target dimension is the dimension that affects the temperature rise of the electrical connection point to be monitored.

[0048] The temperature prediction module is used to input each of the target parameters into a preset temperature prediction model when the actual temperature does not exceed the limit, so as to obtain the current normal temperature of the electrical connection point to be monitored. The temperature prediction model is a model that can predict the temperature of the electrical connection point under normal conditions based on the parameters that affect the temperature rise of the electrical connection point.

[0049] The first early warning module 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 a preset temperature difference threshold, an early warning message is issued for the risk of temperature rise.

[0050] The second early warning module is used to determine whether there is a risk of temperature rise 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. If so, an early warning message is issued for the risk of temperature rise.

[0051] By adopting the above technical solution, after the data acquisition module obtains 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 early warning module issues an early warning message for the risk of temperature rise. Finally, the second early warning module determines whether there is a risk of temperature rise at the electrical connection point to be monitored based on historical temperature data. If so, it issues an early warning message for the risk of temperature rise.

[0052] A third aspect of this application provides a computer-readable storage medium storing a computer program that, when loaded and executed by a processor, performs the steps of the method described in any one of the first aspects.

[0053] A fourth aspect of this application provides an electronic device, specifically comprising:

[0054] 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 to cause the electronic device to perform the method as described in any one of the first aspects.

[0055] In summary, this 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 normal temperature, which may pose a risk of temperature rise and requires further verification. If the temperature difference is greater than the preset temperature difference threshold, it indicates that the actual temperature is significantly higher than the normal temperature, suggesting that the current actual temperature is unreasonable. Although the temperature has not exceeded the limit, there is a potential risk of temperature rise. Therefore, an early warning message is issued to identify potential risks before the temperature exceeds the limit and issue an early warning. If the temperature difference is not greater than the temperature difference threshold, it indicates that the actual temperature is only slightly higher than the normal temperature, which may be normal temperature fluctuations, but the risk of temperature rise cannot be ruled out. Therefore, by referring to historical temperature data, it is determined again whether there is a risk of temperature rise at the electrical connection point to be monitored. If there is a risk of temperature rise, a targeted warning is issued, thereby improving the timeliness of temperature warnings for electrical connection points. Attached Figure Description

[0056] Figure 1 This is a schematic flowchart of a temperature warning method for electrical connection points provided in an embodiment of this application;

[0057] Figure 2 This is a schematic diagram of the structure of a temperature warning device for an electrical connection point provided in an embodiment of this application;

[0058] Figure 3 This is a schematic diagram of another temperature warning device for electrical connection points provided in an embodiment of this application.

[0059] Explanation of reference numerals in the attached diagram: 11. Data acquisition module; 12. Temperature prediction module; 13. First early warning module; 14. Second early warning module; 15. Contact monitoring module; 16. Cause investigation module; 17. Interval determination module; 18. Adjustment reminder module. Detailed Implementation

[0060] To enable those skilled in the art 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 with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0061] In the description of the embodiments of this application, words such as "exemplarily," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplarily," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of words such as "exemplarily," "for example," or "for instance" is intended to present the relevant concepts in a specific manner.

[0062] In the description of the embodiments of this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, B existing alone, or A and B existing simultaneously. Furthermore, unless otherwise stated, the term "multiple" means 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 should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and their variations all mean "including but not limited to," unless otherwise specifically emphasized.

[0063] See Figure 1This application discloses a flowchart illustrating a temperature warning method for electrical connection points, which can be implemented using a computer program or run on a temperature warning device for electrical connection points based on the von Neumann architecture. The computer program can be integrated into an application or run as a standalone utility application, specifically including:

[0064] S101: Obtain the current actual temperature of the electrical connection point to be monitored, the target parameter of at least one target dimension, and the historical temperature data of similar connection points.

[0065] Specifically, in this embodiment, the target dimension refers to the dimension affecting the temperature rise of the electrical connection point to be monitored. The target dimension includes, but is not limited to, 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 critical part of current transmission. When current flows through it, due to the contact resistance, electrical energy is converted into heat energy, causing the temperature of the electrical connection point to rise, 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 which temperature rise risk is monitored in real time. The actual temperature is the current real-time temperature at the electrical connection point to be monitored. A connection point of the same type is a connection point located in the same busbar as the electrical connection point to be monitored. Historical temperature data is the real-time temperature of the same type of connection point within a preset historical period under conditions where there are no temperature exceedances.

[0066] Furthermore, the execution entity of the temperature early warning method for electrical connection points disclosed in this 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 smartphone. A feasible way to obtain the actual temperature and target parameters is as follows: The actual temperature is obtained through a preset temperature sensor. Additionally, the ambient temperature of the electrical connection point to be monitored is obtained through a preset temperature sensor, and the load current of the electrical connection point to be monitored is obtained through a preset Hall effect sensor. Then, parameters such as voltage fluctuations and harmonics of the electrical connection point to be monitored are obtained through a power quality analyzer. Finally, the target parameters of the target dimension are obtained. Further, a feasible way to obtain historical temperature data for similar connection points is as follows: Historical temperature data is obtained from the historical temperature data monitoring records of temperature sensors installed at similar connection points. It should be noted that the server is wirelessly connected to the aforementioned sensors. Temperature exceeding the limit refers to the temperature at the electrical connection point exceeding a preset temperature threshold.

[0067] S102: When the actual temperature does not exceed the limit, input each target parameter into the preset temperature prediction model to obtain the current normal temperature of the electrical connection point to be monitored.

[0068] Specifically, the temperature prediction model is a model that can predict the normal temperature of an electrical connection point based on parameters affecting its temperature rise. The actual temperature is compared with a preset temperature threshold. If the actual temperature does not exceed the threshold, it is determined that the actual temperature is within limits. Then, the various target parameters are input 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 using 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 using a long short-term memory network and a random forest. The training process is briefly described as follows: temperature samples of the electrical connection point under normal conditions and parameter samples of each target dimension are used as training samples to train the model. During the process, parameter tuning is performed using the backpropagation gradient algorithm until the model converges. This is existing technology and will not be elaborated further.

[0069] S103: When the actual temperature is higher 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 risk of temperature rise.

[0070] Specifically, the actual temperature is compared with the normal temperature. If the actual temperature is higher than the normal temperature, it means that the actual temperature of the electrical connection point to be monitored is higher than the normal temperature at the current time, which may pose a risk of temperature rise and requires further verification. The temperature difference between the actual temperature and the normal temperature is calculated. If the temperature difference is greater than the preset temperature difference threshold, it means that the actual temperature is much higher than the normal temperature, indicating that the current actual temperature is unreasonable. Although the temperature has not exceeded the limit, there is a risk of temperature rise. In this case, a warning message for the risk of temperature rise is sent to the terminal of the safety inspector, so as to identify potential risks before the temperature exceeds the limit, issue warnings in advance, and avoid safety accidents.

[0071] S104: If the temperature difference is not greater than the temperature difference threshold, then based on historical temperature data, determine whether there is a risk of temperature rise at the electrical connection point to be monitored. If so, issue a warning message for the risk of temperature rise.

[0072] Specifically, if the temperature difference is not greater than the temperature difference threshold, it indicates that the actual temperature is only slightly higher than the normal temperature, possibly indicating normal temperature fluctuations. However, the risk of temperature rise cannot be ruled out. Therefore, a curve fitting operation is performed using a pre-set MATLAB tool based on historical temperature data to obtain a normal temperature fluctuation curve. Then, based on the historical temperature records of the temperature sensor at the monitored electrical connection point, at least one temperature prior to the current time is obtained and combined with the current actual temperature using MATLAB to obtain the actual temperature fluctuation curve. Finally, the normal temperature fluctuation curve and the actual temperature fluctuation curve are fitted together to obtain the fitting rate. If the fitting rate is not less than the pre-set fitting rate threshold, it indicates a high similarity between the two curves, meaning the current actual temperature at the monitored electrical connection point is within the normal temperature fluctuation range, and there is no risk of temperature rise at the monitored electrical connection point. Conversely, if the fitting rate is less than the threshold, a risk of temperature rise is determined. Finally, if a risk of temperature rise is determined, a targeted warning message is sent to the terminal of the safety inspection personnel.

[0073] In other embodiments, if a risk of temperature rise is determined, the actual temperature rise rate and corresponding at least one abnormal target dimension of the monitored electrical connection point are obtained from the start of operation to the present time. Specifically, the temperature difference between the temperature value at the time point when the temperature begins to rise and the temperature value at the time point when the temperature begins to fall is calculated, and this temperature difference is divided by the time interval between the two time points to obtain the actual temperature rise rate. Through monitoring records from corresponding sensors, the parameters of each target dimension within this time interval are obtained, and curve fitting is performed based on multiple parameters to obtain the actual parameter change curve. Then, the actual parameter change curve is fitted with a preset normal parameter change curve for the target dimension. If the fitting rate is less than a fitting rate threshold, it indicates that the parameters of the target dimension exhibit abnormal fluctuations, and the abnormal target dimension is determined. Here, the abnormal target dimension is the target dimension where the parameters exhibit abnormal fluctuations.

[0074] Furthermore, based on pre-stored historical monitoring records of temperature exceedances at similar connection points to be monitored, the rate interval of at least one historical temperature rise rate of the same type of connection point that has experienced temperature exceedances is obtained. The first occurrence frequency of each rate interval is counted. The higher the first occurrence frequency, the more likely the temperature exceedance problem will occur when the temperature rise rate of the same type of connection point is in the corresponding rate interval. According to the order of the first occurrence frequency from largest to smallest, the rate interval with the highest number of occurrences is selected as the key rate interval, that is, the rate interval in which temperature exceedances are likely to occur in the future.

[0075] Furthermore, when historical temperature rise rates exceeded limits within a single key rate range, historical target dimensions exhibiting abnormal parameter fluctuations were identified. The frequency of the second occurrence for each historical target dimension was counted; a higher frequency indicated a greater likelihood of subsequent temperature exceedances following abnormal parameter fluctuations within that historical target dimension. Based on the order of the second occurrence frequency from highest to lowest, the second-number historical target dimensions were selected and identified as the key dimensions corresponding to that key rate range—that is, the target dimensions where abnormal parameter fluctuations were more likely to lead to subsequent temperature exceedances. It should be noted that historical monitoring records include different historical temperature rise rates before temperature exceedances at similar connection points, as well as historical target dimensions exhibiting abnormal parameter fluctuations when temperature exceedances occurred.

[0076] Furthermore, a first weight is determined for each key rate interval, and a second weight is determined for the key dimension corresponding to each key rate interval. The first weight is the ratio of the first occurrence count of each key rate interval to the sum of the first occurrence counts of all key rate intervals. The second weight is the ratio of the second occurrence count of a single key dimension corresponding to a key rate interval to the sum of the second occurrence counts of all key dimensions.

[0077] Finally, based on the first weight, the second weight, the actual rate of temperature rise, and the corresponding abnormal target dimension, the existence of the temperature rise risk is verified. After the verification is passed, an early warning message is issued for the temperature rise risk. Through the verification process, the accuracy of the temperature rise risk judgment is improved to a certain extent, thereby achieving a more accurate early warning.

[0078] In one feasible implementation, the process of verifying the existence of temperature rise risk is as follows: The key rate interval where a single actual temperature rise rate falls is determined as the target rate interval. When the abnormal target dimension corresponding to the actual temperature rise rate is a key dimension, the corresponding abnormal target dimension is determined as an important dimension. If this important dimension exists among the key dimensions corresponding to the target rate interval, then the target rate interval is determined as an important rate interval. The first product of the first weight of the important rate interval and the second weight of each corresponding important dimension is calculated. The larger the first product, the more likely the corresponding important dimension exhibits abnormal parameter fluctuations at this actual temperature rise rate, and the more likely the monitored electrical connection point is to have a temperature rise risk, subsequently leading to temperature exceedance issues. Furthermore, the sums of each first product are obtained to obtain the sum of the first products of the corresponding actual temperature rise rates. The larger the sum of the first products, the greater the likelihood of a temperature rise risk when the monitored electrical connection point exhibits the corresponding actual temperature rise rate, or when the temperature rise rate falls within the corresponding important rate interval. Then, the sums of each first product are summed to obtain the final product sum. Finally, the final product sum is compared with the preset first threshold. If the final product sum is greater than the first threshold, it means that the electrical connection point under monitoring has a high overall probability of temperature rise risk from the start of operation to the present, indicating that the electrical connection point under monitoring does indeed have a temperature rise risk, and the verification is determined to be passed; otherwise, the verification is determined to be failed.

[0079] In one embodiment, the monitoring duration for the corresponding critical rate interval is determined based on the sum of the first products. Specifically, the monitoring duration corresponding to the sum of the first products is determined through a preset duration matching table. The larger the sum of the first products, the greater the likelihood of a temperature rise risk when the real-time temperature rise rate of the monitored electrical connection point after the current time falls within the corresponding critical rate interval, and the longer the corresponding monitoring duration, thereby enabling timely and effective detection of the temperature rise risk. The duration matching table includes different sums of the first products and their corresponding monitoring durations, all set based on human experience.

[0080] Furthermore, for a single important rate interval, the monitoring order of the corresponding important dimensions is determined based on the first product. The larger the first product, the more likely the abnormal fluctuation of the parameters in the corresponding important dimension indicates a risk of temperature rise. The earlier the monitoring order, the higher the priority for monitoring the parameters of the corresponding important dimension. Finally, the subsequent temperature rise rate of the electrical connection point to be monitored after the current time is obtained, and the important rate interval in which the subsequent temperature rise rate falls is determined as the reference rate interval. Based on the monitoring duration and monitoring order corresponding to this reference rate interval, the parameters of the important dimensions corresponding to this reference rate interval are monitored sequentially. This allows for targeted risk monitoring of the electrical connection point to be monitored with specific monitoring durations and parameter monitoring of each important dimension with specific monitoring order, thereby effectively and promptly detecting potential temperature rise risks and improving the accuracy of temperature warnings for the electrical connection point to be monitored.

[0081] In another embodiment, after issuing a warning about the risk of rising temperature, the sum of the first products corresponding to the same important dimension is calculated to obtain the sum of the corresponding second products. The larger the sum of the second products, the greater the likelihood of temperature exceeding limits when the corresponding important dimension experiences abnormal parameter fluctuations, and the easier it is to induce a risk of rising temperature. The sum of the second products of each important dimension is then compared with a preset second threshold. If the sum of the second products is greater than the second threshold, it indicates that abnormal parameter fluctuations in the corresponding important dimension are more likely to trigger a risk of rising temperature, and the corresponding important dimension is then identified as the inducing dimension. Finally, based on the sum of the second products corresponding to each inducing dimension, the order of investigation for the corresponding inducing dimensions is determined. The larger the sum of the second products, the more likely abnormal parameter fluctuations in the corresponding inducing dimension are to trigger a risk of rising temperature, and the earlier the investigation order, the higher the priority for investigation. Furthermore, the investigation sequence of each contributing factor dimension is sent to the terminal of the safety inspector, so that the safety inspector can investigate the causes of risks in a targeted manner in sequence, improve the investigation effect, and thus deal with the risk of temperature rise at the monitored electrical connection point in a timely manner, so as to avoid subsequent temperature exceedance problems.

[0082] In another embodiment, 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 range is determined as the reference rate. According to the time node corresponding to the reference rate from front to back, the sum of the first products corresponding to the important rate range is successively accumulated to obtain the corresponding accumulation result. In the accumulation process, one first product sum is accumulated each time.

[0083] The accumulated result is compared with a preset first threshold. If the accumulated result is not greater than the first threshold, it indicates that the overall probability of a temperature rise risk is low. Then, the step of accumulating the sum of the first products corresponding to the important rate intervals in the order of the reference rate time nodes from front to back is repeated until the accumulated result is greater than the first threshold. This indicates that the overall probability of a temperature rise risk is high. The important rate interval corresponding to the final accumulated first product sum is determined as the abnormal rate interval, i.e., the rate interval where the monitored electrical connection point has a temperature rise risk. This means that as time progresses, when the actual temperature rise rate is within this abnormal rate interval, the probability of a temperature rise risk is high. For example, in the order of the time nodes from front to back, 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 intervals of V1 is S1, the sum of the first products corresponding to the important rate intervals of V2 is S2, and the sum of the first products corresponding to the important rate intervals of V3 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. That is, accumulate S1, S2 and S3. If the accumulated result is greater than the first threshold, then the important rate interval V3 corresponding to the last accumulated S3 is determined as the abnormal rate interval.

[0084] In one embodiment, when it is determined that there is no risk of temperature rise at 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 range, it indicates that there is no risk of temperature rise under normal circumstances. Further, the target dimension in which the parameter exhibits abnormal fluctuations between the current time and the time node corresponding to the real-time temperature rise rate is determined; this is the real-time target dimension. The specific determination process can refer to the above-described process for determining abnormal target dimensions, and will not be repeated here.

[0085] Furthermore, the key rate interval where this real-time temperature rise rate falls 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. The first weight of the final rate interval and the second product of the second weights of each corresponding final dimension are calculated, and the sum of each second product is obtained to obtain the sum of the corresponding third products. The larger the sum of the third products, the higher the probability of a temperature rise risk. Finally, if the sum of the third products is greater than a preset third threshold, it indicates that the probability of a temperature rise risk at the time point corresponding to this real-time temperature rise rate is high, indicating an error in the abnormal rate interval. Therefore, an adjustment reminder for this abnormal rate interval is issued to the terminal, thereby improving the accuracy of the abnormal rate interval. Conversely, if the sum of the third products is not greater than the third threshold, it indicates that there is a high probability that there is no temperature rise risk, thus verifying the accuracy of the abnormal rate interval.

[0086] The implementation principle of the temperature early warning method for electrical connection points in this application embodiment 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 normal temperature, which may pose a risk of temperature rise and requires further verification. If the temperature difference is greater than the preset temperature difference threshold, it indicates that the actual temperature is significantly higher than the normal temperature, suggesting that the current actual temperature is unreasonable. Although the temperature has not exceeded the limit, there is a potential risk of temperature rise. Therefore, an early warning message is issued to identify potential risks before the temperature exceeds the limit and issue an early warning. If the temperature difference is not greater than the temperature difference threshold, it indicates that the actual temperature is only slightly higher than the normal temperature, which may be normal temperature fluctuations, but the risk of temperature rise cannot be ruled out. Therefore, by referring to historical temperature data, it is determined again whether there is a risk of temperature rise at the electrical connection point to be monitored. If there is a risk of temperature rise, a targeted early warning is issued, thereby improving the timeliness of temperature early warning for electrical connection points.

[0087] The following are embodiments of the apparatus described in this application, which can be used to execute the embodiments of the method described in this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the method described in this application.

[0088] Please see Figure 2 This is a schematic diagram of the structure of a temperature warning device for electrical connection points provided in an embodiment of this application. This temperature warning device for electrical connection points can be implemented as all or part of a 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.

[0089] Data acquisition module 11 is used to acquire the current actual temperature of the electrical connection point to be monitored, the target parameter of at least one target dimension, and the historical temperature data of the same type of connection point. The target dimension is the dimension that affects the temperature rise of the electrical connection point to be monitored.

[0090] Temperature prediction module 12 is used to input each target parameter into the preset temperature prediction model when the actual temperature does not exceed the limit, so as to obtain the current normal temperature of the electrical connection point to be monitored. The temperature prediction model is a model that can predict the temperature of the electrical connection point under normal conditions based on the parameters that affect the temperature rise of the electrical connection point.

[0091] The first early warning module 13 is used to calculate the temperature difference between the actual temperature and the normal temperature when the actual temperature is higher than the normal temperature. If the temperature difference is greater than the preset temperature difference threshold, an early warning message is issued for the risk of temperature rise.

[0092] The second early warning module 14 is used to determine whether there is a risk of temperature rise at the electrical connection point to be monitored based on historical temperature data if the temperature difference is not greater than the temperature difference threshold. If so, an early warning message is issued for the risk of temperature rise.

[0093] Optionally, the second early warning module 14 is specifically used for:

[0094] If so, then obtain the actual temperature rise rate of at least one time point of the electrical connection point to be monitored from the start of operation to the present time, as well as the corresponding at least one abnormal target dimension. The abnormal target dimension is the target dimension in which the parameter fluctuates abnormally.

[0095] Obtain the rate interval of at least one historical temperature rise rate of the same type of connection point that has exceeded the temperature limit, count the first occurrence of each rate interval, and select the rate interval with the largest number of first occurrences from each rate interval to determine the key rate interval.

[0096] When the historical temperature rise rate exceeds the limit in a single key rate interval, the historical target dimension with abnormal parameter fluctuations is obtained. The second occurrence number of each historical target dimension is counted. The historical target dimension with the second occurrence number is selected from each historical target dimension in descending order to determine the key dimension corresponding to the single key rate interval.

[0097] Determine the first weight for each key rate interval and the second weight for the key dimension corresponding to each key rate interval. The first weight is the ratio of the first occurrence of each key rate interval to the sum of the first occurrences of all key rate intervals. The second weight is the ratio of the second occurrence of a single key dimension corresponding to a key rate interval to the sum of the second occurrences of all key dimensions.

[0098] The existence of temperature rise risk is verified based on the first weight, the second weight, the actual temperature rise rate and the corresponding abnormal target dimension.

[0099] After the verification is passed, an early warning message is issued regarding the risk of temperature rise.

[0100] Optionally, the second early warning module 14 is specifically used for:

[0101] The key rate range where the actual temperature rise rate is located is determined as the target rate range, and when the abnormal target dimension corresponding to the actual temperature rise rate is a key dimension, the corresponding abnormal target dimension is determined as an important dimension.

[0102] If there is an important dimension among the key dimensions corresponding to the target rate interval, then the corresponding target rate interval is determined as the important rate interval, and the first product of the first weight of the important rate interval and the second weight of the corresponding important dimension is calculated.

[0103] Summing up each of the first products yields the sum of the first products corresponding to the actual rate of temperature rise. Summing up the sums of the first products yields the final sum of products.

[0104] If the sum of the final products is greater than the preset first threshold, then the existence verification of the risk of temperature rise is confirmed to be successful.

[0105] Optional, such as Figure 3 As shown, the device also includes a contact monitoring module 15, specifically used for:

[0106] Based on the sum of the first products, the monitoring duration for the corresponding important rate interval is determined. The larger the sum of the first products, the longer the monitoring duration will be when the real-time temperature rise rate of the electrical connection point after the current time is within the corresponding important rate interval.

[0107] For a single important rate range, the monitoring order of the corresponding important dimensions is determined based on the first product. The larger the first product, the earlier the corresponding monitoring order.

[0108] 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.

[0109] Based on the monitoring duration and monitoring sequence corresponding to the reference rate range, parameters of the relevant important dimensions are monitored.

[0110] Optionally, the device also includes a cause investigation module 16, specifically used for:

[0111] Summing the first products corresponding to the same important dimension yields the sum of the corresponding second products;

[0112] The sum of the second products is compared with a preset second threshold. If the sum of the second products is greater than the second threshold, the corresponding important dimension is determined as the cause dimension.

[0113] Based on the sum of the second products of each causal dimension, the corresponding causal dimension investigation order is determined, and each investigation order is sent to the terminal of the security patrol personnel. The larger the sum of the second products, the earlier the corresponding investigation order is.

[0114] Optionally, the device also includes an interval determination module 17, specifically used for:

[0115] 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 range is determined as the reference rate. According to the time node corresponding to the reference rate, the sum of the first products corresponding to the important rate range is accumulated one by one to obtain the corresponding accumulation result. Each time, the sum of the first products is accumulated one by one.

[0116] If the accumulated result is not greater than the preset first threshold, the step of accumulating the sum of the first products corresponding to the important rate intervals in the order of the reference rate time nodes from first to last is repeated until the accumulated result is greater than the first threshold. Then, the important rate interval corresponding to the last accumulated first product sum is determined as the abnormal rate interval corresponding to the electrical connection point to be monitored. The abnormal rate interval is the rate interval in which the electrical connection point to be monitored has a risk of temperature rise.

[0117] Optionally, the device also includes an adjustment reminder module 18, specifically used for:

[0118] 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, then the real-time target dimension corresponding to the real-time temperature rise rate is determined. The real-time target dimension is the target dimension in which the parameter fluctuates abnormally after the current time.

[0119] The key rate range where the real-time temperature rise rate is located is determined as the final rate range, and when the real-time target dimension is the key dimension, the corresponding real-time target dimension is determined as the final dimension.

[0120] Calculate the first weight of the final rate interval and the second product of the corresponding second weight of each final dimension, and sum them to obtain the sum of the corresponding third products;

[0121] If the sum of the third products is greater than the preset third threshold, an adjustment reminder will be issued for the abnormal rate range.

[0122] It should be noted that the temperature warning device for electrical connection points provided in the above embodiments is only illustrated by the division of the above functional modules when executing the temperature warning method for electrical connection points. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the temperature warning device for electrical connection points and the embodiment of the temperature warning method for electrical connection points provided in the above embodiments belong to the same concept, and the implementation process is detailed in the method embodiment, which will not be repeated here.

[0123] This application also discloses a computer-readable storage medium, which stores a computer program, wherein when the computer program is executed by a processor, it employs a temperature warning method for electrical connection points as described in the above embodiments.

[0124] The computer program can be stored in a computer-readable medium. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or certain middleware. The computer-readable medium includes any entity or device capable of carrying computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the computer-readable medium includes, but is not limited to, the above-mentioned components.

[0125] The temperature warning method for an electrical connection point according to the above embodiment is stored in the computer-readable storage medium and loaded and executed on the processor to facilitate the storage and application of the above method.

[0126] This application also discloses an electronic device in which a computer program is stored in a computer-readable storage medium. When the computer program is loaded and executed by a processor, it employs the above-mentioned temperature warning method for electrical connection points.

[0127] The electronic device can be a desktop computer, a laptop computer, or a cloud server, and includes, but is not limited to, a processor and a memory. For example, the electronic device may also include input / output devices, network access devices, and buses.

[0128] The processor can be a central processing unit (CPU). Of course, depending on the actual use, it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc., and this application does not limit it.

[0129] The memory can be an internal storage unit of an electronic device, such as a hard disk or RAM, or an external storage device, such as a plug-in hard disk, smart memory card (SMC), secure digital card (SD), or flash memory card (FC) equipped on the electronic device. Furthermore, the memory can be a combination of an internal storage unit and an external storage device. The memory is used to store computer programs and other programs and data required by the electronic device. The memory can also be used to temporarily store data that has been output or will be output. This application does not limit this.

[0130] In this electronic device, the temperature warning method for an electrical connection point according to the above embodiment is stored in the memory of the electronic device and loaded and executed on the processor of the electronic device for convenient use.

[0131] The foregoing description is merely an exemplary embodiment of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. A method for early warning of temperature at electrical connection points, characterized in that, The method includes: The current actual temperature of the electrical connection point to be monitored, the target parameter of at least one target dimension, and the historical temperature data of the same type of connection point are obtained. The target dimension is the dimension that affects the temperature rise of the electrical connection point to be monitored. When the actual temperature does not exceed the limit, each of the target parameters is input into the preset temperature prediction model to obtain the current normal temperature of the electrical connection point to be monitored. The temperature prediction model is a model that can predict the temperature of the electrical connection point under normal conditions based on the parameters that affect the temperature rise of the electrical connection point. When the actual temperature is greater than the normal temperature, the temperature difference between the actual temperature and the normal temperature is calculated. If the temperature difference is greater than a preset temperature difference threshold, an early warning message is issued for the risk of temperature rise. If the temperature difference is not greater than the temperature difference threshold, then based on the historical temperature data, it is determined whether there is a risk of temperature rise in the electrical connection point to be monitored. If so, an early warning message is issued for the risk of temperature rise, including: 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 from the start of operation to the present time. The abnormal target dimension is the target dimension in which the parameter fluctuates abnormally. The process involves: acquiring at least one historical temperature rise rate interval for connection points of the same type that have experienced temperature exceedances; counting the first occurrence count of each rate interval; selecting a first number of rate intervals as key rate intervals based on the descending order of the first occurrence count; acquiring historical target dimensions where the parameters exhibit abnormal fluctuations when the historical temperature rise rate exceeds the temperature limit in a single key rate interval; counting the second occurrence count of each historical target dimension; selecting a second number of historical target dimensions as key dimensions corresponding to a single key rate interval based on the descending order of the second occurrence count; determining a first weight for each key rate interval and a second weight for the key dimension corresponding to each key rate interval; the first weight being the ratio of the first occurrence count of each key rate interval to the sum of the first occurrence counts of all key rate intervals; and the second weight being the ratio of the second occurrence count of the single key dimension corresponding to the key rate interval to the sum of the second occurrence counts of all key dimensions. Based on the first weight, the second weight, the actual temperature rise rate, and the corresponding abnormal target dimension, the existence of temperature rise risk is verified, including: determining 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 a key dimension, determining the corresponding abnormal target dimension as an important dimension; if the important dimension exists among the key dimensions corresponding to the target rate interval, then the corresponding target rate interval is determined as an important rate interval, and the first weight of the important rate interval and the first product of the second weight of each of the corresponding important dimensions are calculated; the sum of each first product is obtained to get the sum of the first products of the corresponding actual temperature rise rates, and the sum of each first product is obtained to get the final product sum; If the sum of the final products is greater than a preset first threshold, then the existence verification of the risk of temperature rise is determined to be passed; After the verification is passed, an early warning message is issued regarding the risk of temperature rise.

2. The temperature early warning method for electrical connection points according to claim 1, characterized in that, The method further includes: Based on the sum of the first products, the monitoring duration of the corresponding important rate interval is determined. The larger the sum of the first products, the longer the monitoring duration is when the real-time temperature rise rate of the electrical connection point after the current time is within the corresponding important rate interval. For a single important rate interval, the monitoring order of the corresponding important dimensions is determined according to the first product. The larger the first product, the earlier the corresponding monitoring order. The subsequent temperature rise rate of the electrical connection point to be monitored after the current time is obtained, and the important rate interval in which the subsequent temperature rise rate is located is determined as the reference rate interval. Based on the monitoring duration and monitoring sequence corresponding to the reference rate range, parameters of the corresponding important dimensions are monitored.

3. The temperature early warning method for electrical connection points according to claim 1, characterized in that, The method further includes: Summing the first products corresponding to the same important dimension yields the sum of the corresponding second products; The sum of the second product is compared with a preset second threshold. If the sum of the second product is greater than the second threshold, the corresponding important dimension is determined as the cause dimension. Based on the sum of the second products of each of the aforementioned causal dimensions, the corresponding causal dimension investigation order is determined, and each investigation order is sent to the terminal of the security patrol personnel. The larger the sum of the second products, the earlier the corresponding investigation order is.

4. The temperature early warning method for electrical connection points according to claim 1, characterized in that, 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 range is determined as the reference rate. According to the time node corresponding to the reference rate from front to back, the sum of the first products corresponding to the important rate range is successively accumulated to obtain the corresponding accumulation result. Each time, the sum of the first products is accumulated. 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 in the order of the reference rate time nodes from first to last is repeated until the accumulated result is greater than the first threshold. Then, the important rate interval corresponding to the last accumulated first product sum is determined as the abnormal rate interval corresponding to the electrical connection point to be monitored. The abnormal rate interval is the rate interval in which the electrical connection point to be monitored has a risk of temperature rise.

5. The temperature early warning method for electrical connection points according to claim 4, characterized in that, 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 range, then the real-time target dimension corresponding to the real-time temperature rise rate is determined. The real-time target dimension is the target dimension in which the parameter fluctuates abnormally after the current time. The key rate range in which the real-time temperature rise rate is located is determined as the final rate range, 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 first weight of the final rate interval and the second product of the corresponding second weight of each final dimension, and sum them to obtain the sum of the corresponding third products; If the sum of the third product is greater than the preset third threshold, an adjustment reminder will be issued for the abnormal rate range.

6. A temperature warning device for an electrical connection point, used to implement the temperature warning method for an electrical connection point as described in any one of claims 1 to 5, characterized in that, include: The data acquisition module (11) is used to acquire the current actual temperature of the electrical connection point to be monitored, the target parameter of at least one target dimension, and the historical temperature data of the same type of connection point. The target dimension is the dimension that affects the temperature rise of the electrical connection point to be monitored. Temperature prediction module (12) is used to input each of the target parameters into a preset temperature prediction model when the actual temperature does not exceed the limit, so as to obtain the current normal temperature of the electrical connection point to be monitored. The temperature prediction model is a model that can predict the temperature of the electrical connection point under normal conditions based on the parameters that affect the temperature rise of the electrical connection point. The first early 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 a preset temperature difference threshold, an early warning message is issued for the risk of temperature rise. The second early warning module (14) is used to determine whether there is a risk of temperature rise in 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, an early warning message is issued for the risk of temperature rise.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is loaded and executed by the processor, it employs the method described in any one of claims 1-5.

8. 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, it employs the method described in any one of claims 1-5.

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