A Temperature Monitoring and Over-temperature Warning Method for a Torque Equipment Line Clip

Abstract

This application relates to the technical field of temperature monitoring, and specifically relates to a temperature monitoring and over-temperature warning method for the torque equipment clamp. The method includes: collecting temperature data, current data, and joint pressure data of the torque equipment clamp at each collection moment; obtaining the load temperature increase influence coefficient of each time window; obtaining the pressure temperature increase influence coefficient of each time window; and then obtaining the clamp temperature increase coefficient of each time window; calculating the clamp temperature increase significant coefficient of each time window; obtaining the over-temperature anomaly evaluation value of each time window based on the temperature mean and the clamp temperature increase significant coefficient; and monitoring and warning of over-temperature of the torque equipment clamp based on the over-temperature anomaly evaluation value and the temperature data. This application improves the accuracy of temperature monitoring and over-temperature warning.

Description

Technical Field

[0001] This application relates to the technical field of temperature monitoring, and particularly to a temperature monitoring and over-temperature warning method for torque equipment clamps. Background Art

[0002] A torque equipment clamp is a kind of electrical hardware, mainly used to connect conductors and electrical equipment to transfer electrical loads and bear certain mechanical loads. It mainly consists of a clamp body, a torque pressing disc bolt, and an insulating protective cover, and has the characteristics of strong versatility, convenient installation, corrosion resistance, and oxidation resistance. It is commonly used in various power lines, such as disconnectors, circuit breakers, instrument transformers, distribution transformers, etc.

[0003] Taking the actual application of a distribution transformer as an example, the temperature anomaly problem of the torque equipment clamp has become one of the key factors leading to distribution transformer and line failures. When the temperature of the equipment clamp rises abnormally, it is extremely easy to cause the lead wire to break, resulting in a line grounding fault or putting the transformer in a dangerous state of single-phase operation, seriously affecting the normal and stable operation of the power system. Therefore, accurate temperature monitoring of the equipment clamp and timely over-temperature warning play a crucial role in effectively reducing the occurrence 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 anomaly based on this. Since this method fails to comprehensively and deeply consider the influence of factors such as line overload current and joint pressure change on the temperature of the equipment clamp, it cannot timely and efficiently warn of over-temperature anomalies in actual applications, resulting in a relatively low level of accuracy in temperature monitoring and being difficult to meet the high requirements of modern power systems for the safe operation of equipment. Summary of the Invention

[0005] To solve the above technical problems, this application provides a temperature monitoring and over-temperature warning method for torque equipment clamps to solve the existing problems.

[0006] The temperature monitoring and over-temperature warning method for torque equipment clamps of this application adopts the following technical solutions:

[0007] An embodiment of this application provides a temperature monitoring and over-temperature warning method for torque equipment clamps, and this method includes the following steps:

[0008] Collect the temperature data, current data, and joint pressure data of the torque equipment clamp at each collection moment;

[0009] 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;

[0010] Obtain the pressure temperature increase influence coefficient for each time window based on the dispersion degree of the joint pressure data and the difference between the joint pressure data and the preset standard joint pressure value;

[0011] Obtain the clamp temperature increase coefficient for each time window based on the load temperature increase influence coefficient, the average of the pressure temperature increase influence coefficients in the neighboring time periods of the time window, and the average of the temperature data within the time window;

[0012] Obtain the clamp temperature increase significant coefficient for each time window based on the difference in the clamp temperature increase coefficients between the time window and other time windows in its neighboring time periods;

[0013] Obtain the over-temperature anomaly evaluation value for each time window based on the temperature mean value and the clamp temperature increase significant coefficient;

[0014] Monitor the temperature of the torque device clamp and give an over-temperature warning based on the over-temperature anomaly evaluation value and the temperature data.

[0015] Furthermore, the method for obtaining the load temperature increase influence coefficient is as follows:

[0016] Obtain the current fitting curve for each time window based on the peak value of the current data;

[0017] Obtain the current difference coefficient for each time window based on the distance between the peak value of the current data and the current fitting curve;

[0018] The calculation formula for the load temperature increase influence coefficient is: ; where represents the load temperature increase influence coefficient of the i-th time window; represents the average value of the current data within 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 within the i-th time window, represents the j-th current peak point within the i-th time window, represents the average value of all other current data except the current peak points within the i-th time window.

[0019] Furthermore, the method for obtaining the current fitting curve is as follows:

[0020] For each time window, use the peak detection algorithm to obtain the peak points of the current data within the time window as the current peak points, and use the curve fitting algorithm to perform curve fitting on all the current peak points within the time window to obtain the current fitting curve for each time window.

[0021] Furthermore, the method for obtaining the current difference coefficient is as follows:

[0022] Calculate the minimum of the Euclidean distances between each current peak point within the calculation time window and the current fitting curve, and use it as the peak deviation value of each current peak point; use the sum of the peak deviation values of all current peak points within the time window as the current difference coefficient of each time window.

[0023] Further, the calculation formula for 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 within the i-th time window, represents the total number of acquisition times within the i-th time window, represents the joint pressure data at the q-th acquisition time within the i-th time window, represents the preset standard joint pressure value.

[0024] Further, the method for obtaining the clamp temperature increase coefficient includes:

[0025] For each time window, set the time window and the preset number of time windows before it as the neighborhood period of each time window;

[0026] For each time window, calculate the mean value of the temperature data at all acquisition times within the time window as the temperature mean value of each time window, and form a sequence by arranging the temperature mean values of the time windows within all neighborhood periods of the time window in chronological order, as the temperature mean value sequence of each time window;

[0027] Based on the load temperature increase influence coefficient, obtain the load influence sequence of each time window;

[0028] The calculation formula for the clamp temperature increase coefficient is: ; in the formula, represents the clamp temperature increase coefficient of the i-th time window; represents the temperature mean value sequence of the i-th time window, represents the load influence sequence of the i-th time window, represents and the correlation coefficient between them, are the first preset weighting coefficient and the second preset weighting coefficient respectively, represents the mean value of the pressure temperature increase influence coefficients of the time windows within all neighborhood periods of the i-th time window.

[0029] Further, the load influence sequence is a sequence formed by arranging the load temperature increase influence coefficients of the time windows within all neighborhood periods of each time window in chronological order.

[0030] Further, the method for obtaining the significant coefficient of clamp temperature increase is:

[0031] For each time window, calculate the absolute value of the difference between the warming coefficient of the clamp in the time window and the warming coefficients of other time windows in its neighborhood period, and take the sum of all the absolute values of the differences of each time window as the significant coefficient of the clamp temperature increase for each time window.

[0032] Further, the method for obtaining the over-temperature anomaly evaluation value is as follows:

[0033] For each time window, calculate the normalized value of the product of the average temperature of the time window and the significant coefficient of the clamp temperature increase as the over-temperature anomaly evaluation value for each time window.

[0034] Further, the monitoring and over-temperature warning of the temperature of the torque device clamp based on the over-temperature anomaly evaluation value and temperature data includes:

[0035] For each time window, when the temperature data within the time window is greater than or equal to the preset overheat temperature threshold, an over-temperature warning is given; when the temperature data within the time window is less than the preset overheat temperature threshold, the over-temperature anomaly evaluation value of the time window is compared with the preset over-temperature threshold. When the over-temperature anomaly evaluation value is greater than or equal to the preset over-temperature threshold, an over-temperature warning is given; otherwise, no over-temperature warning is given.

[0036] This application has at least the following beneficial effects:

[0037] By deeply analyzing the short-term load impact frequency, impact intensity characteristics, and load current magnitude state of the torque device clamp, and further based on the fluctuation change of the joint pressure and the difference from the pressure value under the standard state, combined with the relevant characteristics between the clamp temperature rise and the load impact, and the current contact state, this application calculates the warming coefficient of the clamp. Compared with the simple comparison of temperature data in the conventional method, this value can more timely reflect the temperature rise state characteristics of the device clamp; and based on the change characteristics of the warming coefficient of the clamp, combined with the current temperature state of the device, it calculates the over-temperature anomaly evaluation value, which can effectively evaluate the possible over-temperature anomaly. The over-temperature anomaly evaluation value reflects the possibility of the device clamp about to have an over-temperature anomaly. Based on the over-temperature anomaly evaluation value and temperature data, over-temperature anomaly warnings are given, improving the accuracy of temperature monitoring and over-temperature warnings. Description of the Drawings

[0038] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0039] Figure 1Flow chart of a temperature monitoring and over-temperature warning method for a torque device wire clamp provided by this application;

[0040] Figure 2 It is a flow chart for obtaining the over-temperature abnormal evaluation value. Specific implementation manners

[0041] In order to further elaborate on the technical means and effects adopted by this application to achieve the intended invention purpose, the following, in combination with the accompanying drawings and preferred embodiments, details the specific implementation manners, structures, features, and effects of a temperature monitoring and over-temperature warning method for a torque device wire clamp proposed according to this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs.

[0043] The following specifically describes the specific solution of a temperature monitoring and over-temperature warning method for a torque device wire clamp provided by this application in combination with the accompanying drawings.

[0044] A temperature monitoring and over-temperature warning method for a torque device wire clamp provided by an embodiment of this application. Specifically, a temperature monitoring and over-temperature warning method for a torque device wire clamp is provided as follows. Please refer to Figure 1 , and this method includes the following steps:

[0045] Step S1, collect the temperature data, current data, and joint pressure data of the torque device wire clamp at each acquisition moment.

[0046] During daily operation, excessive line load or short-term impact will cause the temperature of the device wire clamp to increase rapidly. Therefore, due to the continuous change of the load, the operating temperature of the device joint part will change accordingly. The torque device wire clamp is generally fastened and connected by bolts, and the device joint is usually made of copper or aluminum, while the connecting bolts are generally made of galvanized or stainless steel. The expansion coefficients of different materials are different. The copper and aluminum materials at the joint part cannot expand like other positions, which will cause the bolts to loosen, gaps to appear at the joint, resulting in an increase in the contact resistance, and further making it easier for the joint part of the device wire clamp to overheat during subsequent operation.

[0047] Therefore, in order to analyze the influence characteristics of its load current and joint pressure on the temperature state, this application uses a current sensor to collect the current data of the torque device clamp at each acquisition moment; a pressure sensor is installed at the connection part between the device clamp and the cable head to collect the joint pressure data at each acquisition moment; a temperature sensor is used to collect the temperature data of the torque device clamp at each acquisition moment. In this embodiment, the interval between adjacent acquisition moments is 0.1 second, and the implementer can select other values according to the actual situation. The joint pressure value of the connection part between the 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 overheat temperature threshold.

[0048] So far, the temperature data, current data, and joint pressure data at each acquisition moment are obtained.

[0049] Step S2: 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; obtain the pressure temperature increase influence coefficient of each time window based on the dispersion degree of the joint pressure data and the difference between the joint pressure data and the preset standard joint pressure value; obtain the clamp temperature increase coefficient of each time window based on the load temperature increase influence coefficient, the average situation of the pressure temperature increase influence coefficient in the neighborhood period of the time window, and the average situation of the temperature data in the time window.

[0050] As the connection part of each device in the power system, the device clamp is easily oxidized and rusted on the surface when operating in the air for a long time. The surface rust and the tightening degree of the connection bolts will affect its contact resistance, thus easily leading to different degrees of heating. Therefore, for the device clamp with a poor contact state, the characteristic of temperature increase due to high load current is more obvious, while for the clamp with a good contact, the temperature rise is relatively slow with the increase of current. The increase of contact resistance is caused by the gap generated at the joint due to the loosening of the bolt. The magnitude of the joint pressure data reflects the contact state of the torque device clamp. The abnormal temperature of the clamp will gradually accumulate over a period of time under the combined action of the load state and the joint pressure state. Therefore, this application uses a method of real-time detecting the current temperature value of the torque clamp of the device and combining the change characteristics of the load current and the joint pressure state to assist in monitoring the temperature state of the device clamp for over-temperature warning.

[0051] According to the above analysis, before the current temperature reaches the abnormal temperature, there is a risk of over-temperature of the device clamp due to the load current state and the joint pressure state of the clamp. Therefore, first, the temperature rise phenomenon of the device clamp caused by the change of the load current can be analyzed. From the perspective of current characteristics, both long-term high-load operation heating and short-term load impact heating will cause the torque device clamp to heat up quickly. Among them, the occurrence time of the short-term load impact is uncertain, and the duration of the impact process is extremely short.

[0052] Furthermore, when subjected to a load current impact, there will be instantaneous peaks with large amplitude variations in the current. One or more spikes may exist in the current data within the time window, and the magnitude of these spikes represents the magnitude of the current impact. Moreover, the more spikes there are and the more evenly they are distributed within the time window, the more significant the temperature rise phenomenon of the equipment clamp caused by such load impact characteristics.

[0053] Based on the above analysis, the time length of the preset duration is used as a time window. In this embodiment, the value of the preset duration is 5 seconds, and the implementer can select other values according to the actual situation.

[0054] Analyze the current characteristics within each time window. Specifically, for each time window, use the peak detection algorithm to obtain the peak points of the current data within each time window as the current peak points. Use the curve fitting algorithm to perform curve fitting on all the current peak points within the time window to obtain the current fitting curve of each time window. Calculate the minimum value of the Euclidean distance between each current peak point within the time window and the current fitting curve as the spike deviation value of each current peak point. The sum of the spike deviation values of all the current peak points within 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 the actual situation, which are well-known technologies and will not be elaborated in this embodiment.

[0055] Furthermore, the intensity of the load current will also cause different degrees of temperature rise. If the average amplitude of the current within the time window is higher, it indicates that the torque equipment clamp is in a high-load working state and is more likely to cause a rapid increase in temperature.

[0056] Based on the above analysis, in order to reflect the rapid increase in the temperature of the equipment clamp, based on the current difference coefficient, the magnitude of the current peak point value, and the average situation of the current data, obtain the load temperature rise influence coefficient of each time window. The calculation formula is: ; where represents the load temperature rise influence coefficient of the i-th time window; represents the average value of the current data within 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 within the i-th time window, represents the j-th current peak point within the i-th time window, represents the average value of all other current data except the current peak points within the i-th time window.

[0057] It should be noted that the larger the obtained , the more likely it is that the equipment clamp is in a high-load operating state; the larger the obtained The smaller it is, the smaller the variation difference at the short-term impact moment, that is, the more evenly distributed within the time window; the obtained The larger it is, the greater the intensity of the load impact, indicating that the load change is more likely to cause a rapid increase in the temperature of the equipment clamp. 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.

[0058] Furthermore, as an important component of the transmission line, the clamp not only bears the electrical load but also the tension of the conductor. During actual operation, due to factors such as insufficient fixed bolt torque, gentle breeze vibration, thermal expansion and contraction, and corrosion, the bolts at the fixed connection of the clamp may become loose, resulting in a smaller and less stable joint pressure, and then leading to an excessive contact resistance. Under the action of current, the conductor and the fixed clamp connected to it are prone to heat. Therefore, it is necessary to consider the influence of the joint pressure state on the temperature rise of the equipment clamp. Specifically, when the joint pressure is more unstable and the pressure value is smaller, the contact resistance of the equipment clamp is larger, and it is more likely to quickly generate heat. The torque equipment clamp will be installed according to the standard bolt tightening torque, and there is a corresponding standard joint pressure value under the standard tightening torque.

[0059] Based on the above analysis, in order to reflect the possibility of a rapid increase in the clamp temperature caused by wire loosening, based on the degree of dispersion of the joint pressure data and the difference between the joint pressure data and the preset standard joint pressure value, calculate the pressure temperature increase influence coefficient for each time window. The calculation formula is: ; where represents the pressure temperature increase influence coefficient of the i-th time window, represents the standard deviation of all joint pressure data within the i-th time window, represents the total number of acquisition moments within the i-th time window, represents the joint pressure data at the q-th acquisition moment within the i-th time window, represents the preset standard joint pressure value.

[0060] It should be noted that the larger it is, 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 calculated the larger it is, the greater the looseness degree of the equipment clamp at this time, the worse the contact state, and the greater the possibility of causing a rapid increase in the clamp temperature; conversely, the possibility of causing a rapid increase in the clamp temperature is smaller.

[0061] So far, the pressure temperature increase influence coefficient and the load temperature increase influence coefficient for each time window have been obtained.

[0062] Further, the abnormal temperature of the wire clamp will only become apparent after a period of gradual accumulation under the combined action of the load state and the joint pressure state. Especially in a poor contact state, the phenomenon of the wire clamp temperature rising due to the load influence is more significant, and thus it is more likely to overheat. In a better contact state, the degree of the wire clamp temperature rising due to the load influence is relatively gentle.

[0063] Based on the above analysis, combined with the relevant characteristics between the wire clamp temperature rise and the load influence, as well as the current contact state, analyze the significant characteristics of the wire clamp temperature rise. Specifically, for each time window, set the time window and its previous K time windows as the neighborhood periods of each time window. In this embodiment, the value of K is taken as 7, and the implementer can select other values according to the actual situation.

[0064] Further, for each time window, calculate the mean value of the temperature data at all acquisition moments within the time window as the temperature mean value of each time window. The sequence formed by arranging the temperature mean values of the time windows within all neighborhood periods of the time window in chronological order is used as the temperature mean value sequence of each time window; the sequence formed by arranging the load temperature rise influence coefficients of the time windows within all neighborhood periods of the time window in chronological order is used as the load influence sequence of each time window.

[0065] Further, based on the correlation between the temperature mean value sequence and the load influence sequence and the pressure temperature rise influence coefficient, calculate the wire clamp temperature rise coefficient for each time window. The calculation formula is: ; where represents the wire clamp temperature rise coefficient of the i-th time window; represents the temperature mean value sequence of the i-th time window, represents the load influence sequence of the i-th time window, represents and the correlation coefficient between them, are the first preset weighting coefficient and the second preset weighting coefficient respectively, represents the mean value of the pressure temperature rise influence coefficients of the time windows within all neighborhood periods of the i-th time window. In this embodiment, the selected correlation coefficient is the Spearman correlation coefficient, and the implementer can select other correlation coefficients according to the actual situation.

[0066] It should be noted that the larger the obtained , the greater the correlation degree between the wire clamp temperature and the load influence. The larger the obtained , the worse the contact state within the neighborhood period. Among them , since the influence of the connection pressure on the current price temperature rise is relatively large, set to be less than . Calculate to obtain The larger it is, the more significant the feature that the temperature of the clamp may rise; conversely, the less significant the feature that the temperature of the clamp may rise. In this embodiment, The value of is 0.4, and the value of

[0067] is 0.6. Implementers can select other values according to the actual situation.

[0068] Further, if the clamp of the torque device shows an obvious temperature rise state in multiple consecutive time windows, the risk of overheating of the clamp of this device also increases accordingly. For example, affected by micro-vibration of the wind and the thermal expansion and contraction of the line, and at the same time with a large working load and high-frequency load impacts, the temperature rise coefficient of the clamp in multiple consecutive time windows gradually increases, and the temperature of the corresponding clamp is in a high state. Therefore, according to the change characteristics of the significant temperature rise value and the current temperature state, an evaluation value of possible overheating abnormality is obtained.

[0069] Further, for each time window, calculate the absolute value of the difference between the temperature rise coefficient of the time window and the temperature rise coefficients of other time windows in its neighborhood period, and take the sum of all the absolute values of the differences of each time window as the temperature rise significant coefficient of each time window. The larger the temperature rise significant coefficient, the greater the degree of gradual increase in the temperature rise coefficient of the clamp.

[0070] Further, calculate the overheating abnormality evaluation value of each time window based on the temperature mean value and the temperature rise significant coefficient. The calculation method is: for each time window, calculate the normalized value of the product of the temperature mean value of the time window and the temperature rise significant coefficient as the overheating abnormality evaluation value of each time window; the larger the overheating abnormality evaluation value, the more likely it is that the current clamp of the torque device will overheat; conversely, the less likely it is to overheat. Among them, the flow chart for obtaining the overheating abnormality evaluation value is as Figure 2 shown.

[0071] The overheating abnormality evaluation value reflects the possibility of overheating abnormality of the device clamp in each time window. Further, perform overheating abnormality warning based on the overheating abnormality evaluation value and the temperature data.

[0072] The specific over-temperature warning method is as follows: for each time window, when the temperature data within the time window is greater than or equal to the preset overheat temperature threshold, an over-temperature warning is issued; when the temperature data within the time window is less than the preset overheat temperature threshold, the over-temperature anomaly evaluation value of the time window is compared with the preset over-temperature threshold. When the over-temperature anomaly evaluation value is greater than or equal to the preset over-temperature threshold, the temperature of the torque device clamp is abnormal, and an over-temperature warning is issued; otherwise, the temperature of the torque device 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 the actual situation.

[0073] 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 superiority or inferiority of the embodiments. And the above-mentioned specific embodiments of the present application have been described. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0074] The embodiments in the present application are all described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the differences between each embodiment and other embodiments are emphasized.

[0075] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; modifying the technical solutions recorded in the foregoing embodiments, or equivalently replacing some of the technical features, does not make the essence of the corresponding technical solutions 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, obtain the current fitting curve of each time window based on the peak value of the current data; obtain the current difference coefficient of each time window based on the distance between the peak value of the current data and the current fitting curve; calculate the load temperature increase influence coefficient, 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; 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; For each time window, set the time window and the preset number of time windows before it as the neighborhood time period of each time window; for each time window, calculate the mean of the temperature data of all the acquisition moments in the time window as the temperature mean of each time window, and arrange the temperature means of the time windows in all the neighborhood time periods of the time window in positive time order as the temperature mean sequence of each time window; obtain the load influence sequence of each time window based on the load warming influence coefficient; calculate the wire clamp warming coefficient of each time window based on the correlation between the temperature mean sequence and the load influence sequence and the pressure warming influence coefficient; 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 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.

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 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.

4. A method for temperature monitoring and over-temperature warning of a torque equipment wire clamp as claimed in claim 1, characterized in that: 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.

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 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.

6. A method for temperature monitoring and over-temperature warning of a torque equipment wire clamp as claimed in claim 5, 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.

7. A method for temperature monitoring and over-temperature warning of a torque equipment wire clamp as claimed in claim 5, 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.

8. 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.

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 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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