Temperature monitoring and overtemperature warning method for torque equipment wire clamp

Abstract

The invention relates to the technical field of temperature monitoring, in particular to a torque equipment wire clamp temperature monitoring and overtemperature warning method, which comprises the following steps: acquiring temperature data, current data and joint pressure data of a torque equipment wire clamp at each acquisition moment; obtaining a load temperature increase influence coefficient of each time window; obtaining a pressure temperature increase influence coefficient of each time window; obtaining the temperature increasing coefficient of the wire clamp of each time window; calculating a temperature increasing significant coefficient of the wire clamp of each time window; on the basis of the temperature mean value and the temperature increasing significant coefficient of the wire clamp, obtaining an overtemperature anomaly evaluation value of each time window; and carrying out monitoring and over-temperature warning on the temperature of the torque equipment wire clamp based on the over-temperature abnormal evaluation value and the temperature data. According to the invention, the accuracy of temperature monitoring and over-temperature warning is improved.

Description

Technical Field

[0001] The present application relates to the technical field of temperature monitoring, and in particular to a method for temperature monitoring and over-temperature warning of a torque equipment wire clamp. Background Art

[0002] Torque equipment wire clamp is a kind of electrical hardware, mainly used to connect wires and electrical equipment to transfer electrical loads and bear certain mechanical loads. It is mainly composed of wire clamp body, torque pressure plate bolt and insulating protective cover. It has the characteristics of strong versatility, easy installation, corrosion resistance and oxidation resistance. It is commonly used in various power lines, such as disconnectors, circuit breakers, mutual inductors, distribution transformers, etc.

[0003] Taking the actual application of distribution transformers as an example, the abnormal temperature problem of torque equipment wire clamps has become one of the key factors causing distribution transformer and line failures. When the temperature of the equipment wire clamps rises abnormally, it is very easy to cause the lead wire to break, which in turn causes a line grounding fault or puts the transformer in a dangerous state of phase loss, seriously affecting the normal and stable operation of the power system. Therefore, accurate temperature monitoring of equipment wire clamps and timely issuance of over-temperature warnings are crucial to effectively reduce the probability of circuit failures.

[0004] However, traditional temperature monitoring methods are often limited to simply collecting temperature data and judging whether there is an over-temperature abnormality based on it. This method fails to comprehensively and deeply consider the impact of factors such as line overload current and joint pressure changes on the temperature of the equipment wire clamp, so it is unable to timely and efficiently warn of over-temperature abnormalities in actual applications, ultimately resulting in a low level of accuracy in temperature monitoring, which is difficult to meet the high requirements of modern power systems for safe operation of equipment. Summary of the invention

[0005] In order to solve the above technical problems, the present application provides a temperature monitoring and over-temperature warning method for a torque equipment wire clamp to solve the existing problems.

[0006] The present invention discloses a method for temperature monitoring and over-temperature warning of a torque equipment wire clamp using the following technical solutions: An embodiment of the present application provides a method for temperature monitoring and over-temperature warning of a torque equipment wire clamp, the method comprising the following steps: Collect temperature data, current data and joint pressure data of torque equipment clamp at each collection time; Divide each time window, and obtain the load temperature increase influence coefficient of each time window based on the peak value of the current data and the average value of other current data except the peak value; Based on the discreteness of the joint pressure data and the difference between the joint pressure data and the preset standard joint pressure value, the pressure temperature increase influence coefficient of each time window is obtained; Based on the load temperature increase influence coefficient, the average of the pressure temperature increase influence coefficient in the neighboring period of the time window and the average of the temperature data in the time window, the wire clamp temperature increase coefficient of each time window is obtained; Based on the difference in the line clamp temperature increase coefficient between the time window and other time windows in its neighboring period, the line clamp temperature increase significance coefficient of each time window is obtained; Based on the temperature mean and the significant coefficient of temperature increase of the wire clamp, the over-temperature anomaly assessment value of each time window is obtained; Based on the over-temperature abnormality assessment value and temperature data, the temperature of the torque equipment wire clamp is monitored and an over-temperature warning is issued.

[0007] Furthermore, the method for obtaining the load temperature increase influence coefficient is: Obtaining a current fitting curve in each time window based on the peak value of the current data; The current difference coefficient of each time window is obtained based on the distance between the peak value of the current data and the current fitting curve; The calculation formula of the load temperature increase influence coefficient is: ; In the formula, represents the load temperature increase influence coefficient of the i-th time window; represents the average value of the current data in the i-th time window, represents the current difference coefficient of the i-th time window, N represents the total number of current peak points in the i-th time window, represents the jth current peak point in the i-th time window, Represents the mean value of all current data except the current peak point in the i-th time window.

[0008] Further, the method for obtaining the current fitting curve is: For each time window, a peak detection algorithm is used to obtain the peak point of the current data in each time window as the current peak point, and a curve fitting algorithm is used to perform curve fitting on all current peak points in the time window to obtain the current fitting curve of each time window.

[0009] Furthermore, the method for obtaining the current difference coefficient is: The minimum value of the Euclidean distance between each current peak point and the current fitting curve in the time window is calculated as the peak deviation value of each current peak point; the cumulative sum of the peak deviation values ​​of all current peak points in the time window is taken as the current difference coefficient of each time window.

[0010] Furthermore, the pressure-temperature increase influence coefficient calculation formula is: ; In the formula, represents the pressure-temperature increase influence coefficient of the i-th time window, represents the standard deviation of all joint pressure data in the i-th time window, represents the total number of acquisition moments in the i-th time window, represents the joint pressure data at the qth acquisition time in the i-th time window, Indicates the preset standard joint pressure value.

[0011] Furthermore, the method for obtaining the temperature increase coefficient of the wire clamp includes: For each time window, set the time window and a preset number of time windows before it as the neighborhood time periods of each time window; For each time window, the mean of the temperature data at all acquisition moments within the time window is calculated as the temperature mean of each time window, and the sequence consisting of the temperature means of the time windows in all neighboring time periods of the time window is arranged in chronological order as the temperature mean sequence of each time window; Obtain the load impact sequence of each time window based on the load temperature increase impact coefficient; The calculation formula of the temperature increase coefficient of the wire clamp is: ; In the formula, represents the temperature increase coefficient of the wire clamp in the i-th time window; represents the temperature mean sequence of the i-th time window, represents the load impact sequence of the i-th time window, express and The correlation coefficient between are respectively a first preset weighting coefficient and a second preset weighting coefficient, It represents the mean value of the pressure-warming influence coefficient of the time window in all neighboring periods of the i-th time window.

[0012] Furthermore, the load impact sequence is a sequence composed of load temperature increase impact coefficients of time windows in all neighboring time periods of each time window arranged in positive time order.

[0013] Furthermore, the method for obtaining the significant coefficient of temperature increase of the wire clamp is: For each time window, the absolute value of the difference between the line clamp warming coefficients of the time window and other time windows in its neighboring time period is calculated, and the cumulative sum of all the absolute values ​​of the differences in each time window is taken as the line clamp warming significance coefficient of each time window.

[0014] Further, the method for obtaining the over-temperature abnormality evaluation value is: For each time window, the normalized value of the product of the temperature mean of the time window and the significant coefficient of warming of the wire clamp is calculated as the over-temperature anomaly assessment value of each time window.

[0015] Further, the monitoring of the temperature of the torque equipment wire clamp and the over-temperature warning based on the over-temperature abnormality evaluation value and the temperature data include: For each time window, when the temperature data in the time window is greater than or equal to the preset overheat temperature threshold, an over-temperature warning is issued; when the temperature data in the time window is less than the preset overheat temperature threshold, the over-temperature abnormality assessment value of the time window is compared with the preset over-temperature threshold, and when the over-temperature abnormality assessment value is greater than or equal to the preset over-temperature threshold, an over-temperature warning is issued; otherwise, no over-temperature warning is issued.

[0016] This application has at least the following beneficial effects: This application deeply analyzes the short-term load impact frequency, impact intensity characteristics, and load current state of the torque equipment wire clamp, and further calculates the wire clamp temperature increase coefficient based on the fluctuation of the joint pressure and the difference in pressure value with the standard state, combined with the correlation characteristics between the wire clamp temperature rise and the load influence, and the current contact state. Compared with the simple comparison of temperature data by conventional methods, this value can more timely reflect the temperature rise state characteristics of the equipment wire clamp; and based on the changing characteristics of the wire clamp temperature increase coefficient, combined with the temperature state of the current equipment, the over-temperature anomaly assessment value is calculated, which can effectively evaluate the possible over-temperature anomaly. The over-temperature anomaly assessment value reflects the possibility of an over-temperature anomaly in the equipment wire clamp. An over-temperature anomaly warning is issued based on the over-temperature anomaly assessment value and temperature data, thereby improving the accuracy of temperature monitoring and over-temperature warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A flow chart of a method for temperature monitoring and over-temperature warning of a torque equipment wire clamp provided in this application; Figure 2 Obtain a flow chart for over-temperature anomaly assessment values. DETAILED DESCRIPTION

[0019] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following is a detailed description of the temperature monitoring and over-temperature warning method of a torque equipment wire clamp proposed in the present application, its specific implementation method, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0020] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0021] The following is a detailed description of a temperature monitoring and over-temperature warning method for a torque equipment wire clamp provided by the present application in conjunction with the accompanying drawings.

[0022] An embodiment of the present application provides a method for monitoring the temperature of a torque device wire clamp and providing an over-temperature warning. Specifically, the following method for monitoring the temperature of a torque device wire clamp and providing an over-temperature warning is provided. Figure 1 , the method comprises the following steps: Step S1, collecting temperature data, current data and joint pressure data of the torque equipment clamp at each collection time.

[0023] During daily operation, excessive line load or short-term impact will cause the temperature of the equipment clamp to increase rapidly. Therefore, due to the continuous change of load, the operating temperature of the equipment joint will change accordingly. Torque equipment clamps are generally fastened with bolts, and the equipment joints are usually copper or aluminum structures, while the connecting bolts are generally galvanized or stainless steel. The expansion coefficients of different materials are also different. The copper and aluminum materials at the joints cannot expand like other positions, which will cause the bolts to loosen and gaps to form at the joints, resulting in increased electric shock resistance, which will make it easier to cause overheating of the equipment clamp joints in subsequent operation.

[0024] Therefore, in order to analyze the influence characteristics of load current and joint pressure on temperature state, the present application uses a current sensor to collect current data of the torque equipment wire clamp at each collection time; installs a pressure sensor at the connection between the equipment wire clamp and the cable head to collect joint pressure data at each collection time; and uses a temperature sensor to collect temperature data of the torque equipment wire clamp at each collection time. In this embodiment, the interval between each adjacent collection time is 0.1 second, and the implementer can select other values ​​according to actual conditions. The joint pressure value of the connection between the wire clamp and the cable head in the torque device under normal conditions is used as the preset standard joint pressure value, and the original alarm temperature of the torque device is used as the preset overheating temperature threshold.

[0025] At this point, the temperature data, current data and joint pressure data at each collection time are obtained.

[0026] Step S2, divide each time window, obtain the load temperature increase influence coefficient of each time window based on the peak value of the current data and the average value of other current data except the peak value; obtain the pressure temperature increase influence coefficient of each time window based on the discreteness of the joint pressure data and the difference between the joint pressure data and the preset standard joint pressure value; obtain the wire clamp temperature increase coefficient of each time window based on the load temperature increase influence coefficient, the average of the pressure temperature increase influence coefficient in the neighborhood period of the time window and the average of the temperature data in the time window.

[0027] As the connection part of each device in the power system, the equipment wire clamp is prone to oxidation and rust on the surface after long-term operation in the air. Surface rust and the tightness of the connecting bolts will affect its contact resistance, which can easily lead to different degrees of heating. Therefore, for equipment wire clamps with poor contact status, the characteristic of temperature increase due to high load current is more obvious, while for wire clamps with good contact, the temperature rise is relatively slow with the increase of current. The increase in contact resistance is caused by the gap at the joint due to the loosening of the bolts, and the size of the joint pressure data reflects the contact state of the torque equipment wire clamp. The temperature anomaly of the wire clamp is under the joint effect of the load state and the joint pressure state, and it takes a period of gradual accumulation to appear. Therefore, the present application adopts the method of real-time detection of the current temperature value of the equipment torque wire clamp, and the temperature state of the equipment wire clamp is auxiliary monitored in combination with the changing characteristics of the load current and the joint pressure state to issue an over-temperature warning.

[0028] According to the above analysis, before the current temperature reaches the abnormal temperature, the load current state and the joint pressure state of the wire clamp have the risk of causing the wire clamp to overheat. Then, the temperature rise phenomenon of the equipment wire clamp caused by the change of load current can be analyzed first. From the current characteristics, long-term high-load operation heating and short-term load impact heating will cause the torque equipment wire clamp to heat up quickly. Among them, the occurrence time of short-term load impact is uncertain, and the duration of the impact process is extremely short.

[0029] Furthermore, when the load current is impacted, there will be an instantaneous peak with a large amplitude change in the current. There may be one or more spikes in the current data within the time window, and the amplitude of these spikes represents the magnitude of the current impact. And the more spikes there are, the more evenly the peaks are distributed within the time window, and the more significant the temperature rise of the equipment clamp caused by such load impact characteristics.

[0030] According to the above analysis, the length of the preset time is taken as a time window. In this embodiment, the value of the preset time is 5 seconds, and the implementer can select other values ​​according to actual conditions.

[0031] The current characteristics in each time window are analyzed. Specifically, for each time window, a peak detection algorithm is used to obtain the peak point of the current data in each time window as each current peak point. A curve fitting algorithm is used to perform curve fitting on all current peak points in the time window to obtain the current fitting curve of each time window. The minimum value of the Euclidean distance between each current peak point in the time window and the current fitting curve is calculated as the peak deviation value of each current peak point; the cumulative sum of the peak deviation values ​​of all current peak points in the time window is used as the current difference coefficient of each time window. Among them, the peak detection algorithm selected in this embodiment is the AMPD peak detection algorithm, and the curve fitting algorithm selected is the least squares method. The implementer can select other peak detection algorithms and curve fitting algorithms according to actual conditions as well-known technologies, which will not be described in detail in this embodiment.

[0032] Furthermore, the intensity of the load current will also cause different degrees of temperature rise. If the average amplitude of the current in the time window is higher, it means that the torque equipment clamp is in a high-load working state, which is more likely to cause a rapid increase in temperature.

[0033] According to the above analysis, in order to reflect the rapid increase in the temperature of the equipment clamp, the load temperature increase influence coefficient of each time window is obtained based on the current difference coefficient, the value of the current peak point and the average of the current data. The calculation formula is: ; In the formula, represents the load temperature increase influence coefficient of the i-th time window; represents the average value of the current data in the i-th time window, represents the current difference coefficient of the i-th time window, N represents the total number of current peak points in the i-th time window, represents the jth current peak point in the i-th time window, Represents the mean value of all current data except the current peak point in the i-th time window.

[0034] It should be noted that the The larger the value is, the more likely the equipment clamp is in a high-load operation state. The smaller it is, the smaller the difference in the short-term impact moment is, that is, the more evenly distributed in the time window. The larger the value, the greater the intensity of the load shock, which means that the load change is more likely to cause the temperature of the equipment wire clamp to increase rapidly. At this time, the value of the load temperature increase influence coefficient obtained is larger; conversely, the value of the load temperature increase influence coefficient obtained is smaller.

[0035] Furthermore, as an important component of the transmission line, the wire clamp must not only withstand the electrical load, but also the tension of the conductor. In actual operation, due to factors such as insufficient torque of the fixing bolts, breeze vibration, thermal expansion and contraction, and corrosion, the bolts at the fixing connection of the wire clamp may become loose, causing the joint pressure to become smaller and more unstable, which in turn leads to excessive contact resistance. Under the action of current, it is easy to cause the wire and the fixed wire clamp connected to it to heat up. Therefore, it is necessary to consider the effect of the joint pressure state on the temperature rise of the equipment wire clamp. Specifically, the more unstable the joint pressure is and the smaller the pressure value is, the greater the contact resistance of the equipment wire clamp is, and the easier it is to generate heat quickly. The torque equipment wire clamp will be installed according to the standard bolt tightening torque, and there is a standard joint pressure value corresponding to the standard tightening torque.

[0036] According to the above analysis, in order to reflect the possibility of rapid increase in clamp temperature due to loose wire, the pressure temperature increase influence coefficient of each time window is calculated based on the discrete degree of joint pressure data and the difference between the joint pressure data and the preset standard joint pressure value. The calculation formula is: ; In the formula, represents the pressure-temperature increase influence coefficient of the i-th time window, represents the standard deviation of all joint pressure data in the i-th time window, represents the total number of acquisition moments in the i-th time window, represents the joint pressure data at the qth acquisition time in the i-th time window, Indicates the preset standard joint pressure value.

[0037] It should be noted that The larger the value, the greater the fluctuation of the joint pressure. The larger the value, the greater the difference between the joint pressure and the pressure value under the standard state. The larger the value is, the looser the wire clamp of the equipment is, the worse the contact condition is, and the greater the possibility of causing a rapid increase in the temperature of the wire clamp. Conversely, the possibility of causing a rapid increase in the temperature of the wire clamp is smaller.

[0038] So far, the pressure temperature increase influence coefficient and load temperature increase influence coefficient in each time window have been obtained.

[0039] Furthermore, the abnormal temperature of the wire clamp is caused by the combined effects of the load state and the joint pressure state, and it will only appear after a period of gradual accumulation. Especially in a poor contact state, the temperature of the wire clamp increases more significantly due to the load, and it is more likely to overheat. In a good contact state, the temperature of the wire clamp increases relatively slowly due to the load.

[0040] According to the above analysis, combined with the correlation characteristics between the temperature rise of the wire clamp and the load influence, as well as the current contact state, the significant characteristics of the temperature rise of the wire clamp are analyzed. Specifically, for each time window, the time window and its previous K time windows are set as the neighborhood time period of each time window. In this embodiment, the value of K is 7, and the implementer can select other values ​​according to actual conditions.

[0041] Furthermore, for each time window, the mean of the temperature data of all the collected moments in the time window is calculated as the temperature mean of each time window, and the sequence composed of the temperature means of the time windows in all neighboring time periods of the time window arranged in positive time order is used as the temperature mean sequence of each time window; the sequence composed of the load warming influence coefficients of the time windows in all neighboring time periods of the time window arranged in positive time order is used as the load influence sequence of each time window.

[0042] Furthermore, based on the correlation between the temperature mean sequence and the load influence sequence and the pressure temperature increase influence coefficient, the wire clamp temperature increase coefficient of each time window is calculated. The calculation formula is: ; In the formula, represents the temperature increase coefficient of the wire clamp in the i-th time window; represents the temperature mean sequence of the i-th time window, represents the load impact sequence of the i-th time window, express and The correlation coefficient between are respectively a first preset weighting coefficient and a second preset weighting coefficient, It represents the mean value of the pressure-temperature increase influence coefficient of the time window in all neighboring time periods of the i-th time window. The correlation coefficient selected in this embodiment is the Spearman correlation coefficient, and the implementer can select other correlation coefficients according to actual conditions.

[0043] It should be noted that the The larger the value, the greater the correlation between the clamp temperature and the load. The larger the value is, the worse the contact status is during the neighborhood period. Since the influence of wiring pressure on the current price rise is relatively large, set The value is less than Calculated The larger the value, the more significant the temperature rise of the wire clamp may be; conversely, the smaller the temperature rise of the wire clamp may be. The value of is 0.4, The value of is 0.6, and implementers can select other values ​​according to actual conditions.

[0044] Step S3, obtaining the significant heating coefficient of the wire clamp of each time window based on the difference in heating coefficient of the wire clamp between the time window and other time windows in its adjacent time period; obtaining the over-temperature anomaly assessment value of each time window based on the temperature mean and the significant heating coefficient of the wire clamp; monitoring the temperature of the torque equipment wire clamp and issuing an over-temperature warning based on the over-temperature anomaly assessment value and temperature data.

[0045] Furthermore, if the torque equipment wire clamp shows a significant temperature rise in multiple consecutive time windows, the risk of overheating of the equipment wire clamp will also increase. For example, due to the influence of breeze vibration, thermal expansion and contraction of the line, and the heavy workload and high-frequency load shocks, the temperature increase coefficient of the wire clamp in multiple consecutive time windows will gradually increase, and the temperature of the corresponding wire clamp will be in a high state. Therefore, according to the changing characteristics of the temperature rise significance value and the current temperature state, the evaluation value of possible overtemperature anomaly is obtained.

[0046] Furthermore, for each time window, the absolute value of the difference between the wire clamp temperature increase coefficients of the time window and other time windows in its neighboring time period is calculated, and the cumulative sum of all the absolute values ​​of the difference in each time window is used as the wire clamp temperature increase significance coefficient of each time window. The larger the wire clamp temperature increase significance coefficient, the greater the degree of gradual increase of the wire clamp temperature increase coefficient.

[0047] Furthermore, the over-temperature anomaly assessment value of each time window is calculated based on the temperature mean and the significant coefficient of the wire clamp temperature increase. The calculation method is as follows: for each time window, the normalized value of the product of the temperature mean of the time window and the significant coefficient of the wire clamp temperature increase is calculated as the over-temperature anomaly assessment value of each time window; the larger the over-temperature anomaly assessment value, the more likely the current torque equipment wire clamp is to have over-temperature; conversely, the smaller the possibility of over-temperature. Among them, the over-temperature anomaly assessment value acquisition flow chart is as follows: Figure 2 shown.

[0048] The over-temperature abnormality assessment value reflects the possibility of over-temperature abnormality in the equipment wire clamp within each time window. Furthermore, an over-temperature abnormality warning is issued based on the over-temperature abnormality assessment value and temperature data.

[0049] The specific over-temperature warning method is: for each time window, when the temperature data in the time window is greater than or equal to the preset over-temperature threshold, an over-temperature warning is issued; when the temperature data in the time window is less than the preset over-temperature threshold, the over-temperature abnormal evaluation value of the time window is compared with the preset over-temperature threshold. When the over-temperature abnormal evaluation value is greater than or equal to the preset over-temperature threshold, the temperature of the torque device wire clamp is abnormal, and an over-temperature warning is issued; otherwise, the temperature of the torque device wire clamp is normal, and no over-temperature warning is issued. In this embodiment, the value of the preset over-temperature threshold is 0.6, and the implementer can select other values ​​according to actual conditions.

[0050] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. The above-mentioned specific embodiments of the present application are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0051] The various embodiments in the present application are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0052] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Modifications to the technical solutions recorded in the aforementioned embodiments, or equivalent replacement of some of the technical features therein, do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for temperature monitoring and over-temperature warning of a torque equipment wire clamp, characterized in that: The method comprises the following steps: Collect temperature data, current data and joint pressure data of torque equipment clamp at each collection time; Divide each time window, and obtain the load temperature increase influence coefficient of each time window based on the peak value of the current data and the average value of other current data except the peak value; Based on the discreteness of the joint pressure data and the difference between the joint pressure data and the preset standard joint pressure value, the pressure temperature increase influence coefficient of each time window is obtained; Based on the load temperature increase influence coefficient, the average of the pressure temperature increase influence coefficient in the neighboring period of the time window and the average of the temperature data in the time window, the wire clamp temperature increase coefficient of each time window is obtained; Based on the difference in the line clamp temperature increase coefficient between the time window and other time windows in its neighboring period, the line clamp temperature increase significance coefficient of each time window is obtained; Based on the temperature mean and the significant coefficient of temperature increase of the wire clamp, the over-temperature anomaly assessment value of each time window is obtained; Based on the over-temperature abnormality assessment value and temperature data, the temperature of the torque equipment wire clamp is monitored and an over-temperature warning is issued.

2. A method for temperature monitoring and over-temperature warning of a torque equipment wire clamp as claimed in claim 1, characterized in that: The method for obtaining the load temperature increase influence coefficient is: Obtaining a current fitting curve in each time window based on the peak value of the current data; The current difference coefficient of each time window is obtained based on the distance between the peak value of the current data and the current fitting curve; The calculation formula of the load temperature increase influence coefficient is: ; In the formula, represents the load temperature increase influence coefficient of the i-th time window; represents the average value of the current data in the i-th time window, represents the current difference coefficient of the i-th time window, N represents the total number of current peak points in the i-th time window, represents the jth current peak point in the i-th time window, Represents the mean value of all current data except the current peak point in the i-th time window.

3. A method for temperature monitoring and over-temperature warning of a torque equipment wire clamp as claimed in claim 2, characterized in that: The method for obtaining the current fitting curve is: For each time window, a peak detection algorithm is used to obtain the peak point of the current data in each time window as the current peak point, and a curve fitting algorithm is used to perform curve fitting on all current peak points in the time window to obtain the current fitting curve of each time window.

4. A method for temperature monitoring and over-temperature warning of a torque equipment wire clamp as claimed in claim 3, characterized in that: The method for obtaining the current difference coefficient is: The minimum value of the Euclidean distance between each current peak point and the current fitting curve in the time window is calculated as the peak deviation value of each current peak point; the cumulative sum of the peak deviation values ​​of all current peak points in the time window is taken as the current difference coefficient of each time window.

5. A method for temperature monitoring and over-temperature warning of a torque equipment wire clamp as claimed in claim 1, characterized in that: The calculation formula of the pressure temperature increase influence coefficient is: ; In the formula, represents the pressure-temperature increase influence coefficient of the i-th time window, represents the standard deviation of all joint pressure data in the i-th time window, represents the total number of acquisition moments in the i-th time window, represents the joint pressure data at the qth acquisition time in the i-th time window, Indicates the preset standard joint pressure value.

6. A method for temperature monitoring and over-temperature warning of a torque equipment wire clamp as claimed in claim 1, characterized in that: The method for obtaining the temperature increase coefficient of the wire clamp includes: For each time window, set the time window and a preset number of time windows before it as the neighborhood time periods of each time window; For each time window, the mean of the temperature data at all acquisition moments within the time window is calculated as the temperature mean of each time window, and the sequence consisting of the temperature means of the time windows in all neighboring time periods of the time window is arranged in chronological order as the temperature mean sequence of each time window; Obtain the load impact sequence of each time window based on the load temperature increase impact coefficient; The calculation formula of the temperature increase coefficient of the wire clamp is: ; In the formula, represents the temperature increase coefficient of the wire clamp in the i-th time window; represents the temperature mean sequence of the i-th time window, represents the load impact sequence of the i-th time window, express and The correlation coefficient between are respectively a first preset weighting coefficient and a second preset weighting coefficient, It represents the mean value of the pressure-warming influence coefficient of the time window in all neighboring periods of the i-th time window.

7. A method for temperature monitoring and over-temperature warning of a torque equipment wire clamp as claimed in claim 6, characterized in that: The load impact sequence is a sequence composed of load temperature increase impact coefficients of time windows in all neighboring time periods of each time window arranged in positive time order.

8. A method for temperature monitoring and over-temperature warning of a torque equipment wire clamp as claimed in claim 6, characterized in that: The method for obtaining the significant coefficient of temperature increase of the wire clamp is as follows: For each time window, the absolute value of the difference between the line clamp warming coefficients of the time window and other time windows in its neighboring time period is calculated, and the cumulative sum of all the absolute values ​​of the differences in each time window is taken as the line clamp warming significance coefficient of each time window.

9. A method for temperature monitoring and over-temperature warning of a torque equipment wire clamp as claimed in claim 1, characterized in that: The method for obtaining the over-temperature abnormality evaluation value is: For each time window, the normalized value of the product of the temperature mean of the time window and the significant coefficient of warming of the wire clamp is calculated as the over-temperature anomaly assessment value of each time window.

10. A method for temperature monitoring and over-temperature warning of a torque equipment wire clamp according to claim 1, characterized in that: The temperature monitoring and over-temperature warning of the torque equipment wire clamp based on the over-temperature abnormality evaluation value and temperature data include: For each time window, when the temperature data in the time window is greater than or equal to the preset overheat temperature threshold, an over-temperature warning is issued; when the temperature data in the time window is less than the preset overheat temperature threshold, the over-temperature abnormality assessment value of the time window is compared with the preset over-temperature threshold, and when the over-temperature abnormality assessment value is greater than or equal to the preset over-temperature threshold, an over-temperature warning is issued; otherwise, no over-temperature warning is issued.

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