Wire temperature measurement method, device and equipment based on segmentation weighting and medium

Abstract

The invention provides a conductor temperature measurement method and device based on segmented weighting, equipment and a medium, and the method comprises the steps: obtaining a corresponding number of sampling data based on a plurality of thin-film platinum resistor temperature sensors; carrying out extreme value removal average filtering processing on the corresponding number of sampling data to obtain a temperature output value of the platinum resistor temperature sensor; acquiring a temperature output value of the infrared temperature sensor, and determining weights of the platinum resistor temperature sensor and the infrared temperature sensor according to a preset temperature interval in which the current actual temperature of the wire is located; and according to the determined weight, carrying out weighted fusion on the temperature output value of the platinum resistor temperature sensor and the temperature output value of the infrared temperature sensor to obtain a lead temperature value after weighted fusion. According to the invention, the output values of the platinum resistance temperature sensor and the infrared temperature sensor are fused, and the weight is dynamically adjusted, so that the accurate measurement of the temperature of the lead is realized.

Description

Technical Field

[0001] The present invention relates to the field of information technology, and in particular to a conductor temperature measurement method, device, equipment and medium based on segmented weighting. Background Art

[0002] At present, the majority of the power grid monitoring processes use contact temperature measurement platinum resistance temperature sensors, but their thermal response speed is slow in contact temperature measurement, and they cannot quickly adapt to thermal steps in applications. Therefore, the displayed data lags behind the actual response. In actual application scenarios, the display is slower than other data signals, and the feedback data of platinum resistance temperature sensors alone is not enough to prove their reliability during use. If there are problems such as damage, aging, and measurement failure of the built-in device, the reliability of the measurement will be significantly reduced.

[0003] Therefore, the data lag caused by single temperature measurement using platinum resistance temperature sensors, which leads to unreliable measurement data and poor real-time feedback of monitoring, is an urgent problem to be solved. Summary of the invention

[0004] The main purpose of the present application is to provide a conductor temperature measurement method, device, equipment and medium based on segmented weighting, aiming to solve the technical problems of data lag caused by single temperature measurement using a platinum resistance temperature sensor, resulting in unreliable measurement data and poor real-time monitoring.

[0005] The first aspect of the present application provides a conductor temperature measurement method based on segmented weighting, comprising: acquiring a corresponding number of sampling data based on multiple thin-film platinum resistance temperature sensors;

[0006] Perform de-extreme value averaging filtering on the corresponding number of sampled data to obtain the temperature output value of the platinum resistance temperature sensor;

[0007] Obtain the temperature output value of the infrared temperature sensor, and determine the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to the preset temperature range of the actual temperature of the current conductor;

[0008] According to the determined weights, the temperature output values ​​of the platinum resistance temperature sensor and the temperature output values ​​of the infrared temperature sensor are weightedly fused to obtain a weighted fused conductor temperature value.

[0009] Furthermore, based on multiple thin-film platinum resistance temperature sensors, a corresponding number of sampling data are obtained, including:

[0010] According to the plane diagram of the gripper, multiple thin-film platinum resistance temperature sensors are respectively installed at multiple ends of the gripper, and fixed to the surface of the gripper by a spring device;

[0011] According to the arrangement positions of the plurality of thin-film platinum resistance temperature sensors, the resistance value at the corresponding arrangement position of each sensor is obtained, that is, an analog signal;

[0012] A high-speed analog-to-digital converter is used to convert analog signals collected by multiple thin-film platinum resistance temperature sensors to obtain digital signals of corresponding groups, namely the sampling data.

[0013] Furthermore, the step of performing de-extreme value averaging filtering on the corresponding number of sampled data to obtain the temperature output value of the platinum resistance temperature sensor includes:

[0014] The corresponding number of sampling data are respectively subjected to extreme value removal and average filtering, and the maximum and minimum values ​​of the sampling data are removed and the average value is calculated to obtain the corresponding number of valid sampling values;

[0015] If the difference between the corresponding number of valid sampling values ​​exceeds the preset threshold range, the sampling data is judged to be unreliable, and the number of sampling times is increased until the difference between the corresponding number of valid sampling values ​​is within the preset threshold range. In this case, the sampling data is judged to be credible, and the average value of the corresponding number of valid sampling values ​​is taken as the temperature output value of the platinum resistance temperature sensor.

[0016] Furthermore, the preset temperature range includes a low temperature range, a medium temperature range and a high temperature range; the step of obtaining the temperature output value of the infrared temperature sensor and determining the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to the preset temperature range in which the actual temperature of the current conductor is located includes:

[0017] If the actual temperature of the current conductor is in the low temperature range or the high temperature range, the weight of the infrared temperature sensor is greater than the weight of the platinum resistance temperature sensor;

[0018] If the current actual temperature of the conductor is in the medium temperature range, the weight of the platinum resistance temperature sensor is greater than the weight of the infrared temperature sensor.

[0019] Furthermore, the step of obtaining the temperature output value of the infrared temperature sensor and determining the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to the preset temperature range in which the actual temperature of the current conductor is located includes:

[0020] Obtain the temperature output value x of the infrared temperature sensor and the temperature output value y of the platinum resistance temperature sensor;

[0021] According to the preset temperature range, determine the temperature range to which the actual temperature of the current conductor belongs;

[0022] If the current actual temperature of the wire is in the low temperature range of 0-30°C, the weight a of the platinum resistance temperature sensor is set to 0%, and the weight b of the infrared temperature sensor is set to 100%;

[0023] If the current actual temperature of the conductor is in the medium temperature range of 30-80°C, the weight a of the platinum resistance temperature sensor is set to 65%, and the weight b of the infrared temperature sensor is set to 35%;

[0024] If the actual temperature of the current conductor is in the normal temperature range of 80-90°C, the weight a of the platinum resistance temperature sensor is set to 80%, and the weight b of the infrared temperature sensor is set to 20%;

[0025] If the current actual temperature of the conductor is in the high temperature range of 90-140°C, the weight a of the platinum resistance temperature sensor is set to 35%, and the weight b of the infrared temperature sensor is set to 65%;

[0026] If the current actual temperature of the wire is in the ultra-high temperature range above 140°C, the weight a of the platinum resistance temperature sensor is set to 0%, and the weight b of the infrared temperature sensor is set to 100%;

[0027] The weighted temperature output value is calculated using the formula ax+by, where x is the temperature output value of the infrared temperature sensor, y is the temperature output value of the platinum resistance temperature sensor, a is the weight of the platinum resistance temperature sensor, and b is the weight of the infrared temperature sensor.

[0028] Furthermore, the method further comprises: performing weighted fusion on the temperature output value of the platinum resistance temperature sensor and the temperature output value of the infrared temperature sensor according to the determined weight to obtain the weighted fused conductor temperature value;

[0029] The calculated weighted temperature output value is displayed to the user as the final temperature measurement result, and the weighted temperature output value is transmitted to the temperature monitoring and control module for temperature anomaly judgment and temperature regulation control.

[0030] Furthermore, the method further comprises: performing weighted fusion on the temperature output value of the platinum resistance temperature sensor and the temperature output value of the infrared temperature sensor according to the determined weight to obtain the weighted fused conductor temperature value;

[0031] Determine whether the wire temperature value after weighted fusion exceeds a preset threshold value. If it exceeds the preset threshold value, trigger an alarm signal and transmit the alarm signal to the monitoring system;

[0032] After receiving the alarm signal, the monitoring system takes corresponding processing measures according to the type and level of the alarm signal, such as sending text messages and emails to notify relevant personnel, or cutting off the power supply of the wire to prevent the wire from overheating and causing safety accidents.

[0033] The second aspect of the present application proposes a multi-redundant wire temperature measurement device based on segment weighting, comprising:

[0034] A data acquisition module, used for acquiring a corresponding amount of sampling data based on multiple thin-film platinum resistance temperature sensors;

[0035] A processing module is used to perform de-extreme value averaging filtering on a corresponding number of sampled data to obtain a temperature output value of a platinum resistance temperature sensor;

[0036] The weight adjustment module is used to obtain the temperature output value of the infrared temperature sensor and determine the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to the preset temperature range of the actual temperature of the current conductor;

[0037] The weighted fusion module is used to perform weighted fusion on the temperature output value of the platinum resistance temperature sensor and the temperature output value of the infrared temperature sensor according to the determined weights, so as to obtain the weighted fused conductor temperature value.

[0038] A third aspect of the present application provides a computer device, comprising:

[0039] processor;

[0040] Memory for storing computer programs;

[0041] Wherein, when the processor executes the computer program, any one of the above-mentioned multi-redundant wire temperature measurement methods based on segmented weighting is implemented.

[0042] In a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, any of the above-mentioned multi-redundant wire temperature measurement methods based on segmented weighting is implemented.

[0043] Beneficial effects:

[0044] By fusing the output values ​​of the platinum resistance temperature sensor and the infrared temperature sensor, accurate measurement of the conductor temperature is achieved. The sample values ​​of multiple thin-film platinum resistance temperature sensors are subjected to de-extreme average filtering, and the temperature output value of the infrared temperature sensor is obtained at the same time. Then, according to the preset temperature range of the current actual temperature of the conductor, the weights of the two sensors are dynamically adjusted to give play to their respective advantages in different temperature ranges. By weighted fusion of the output values ​​of the two sensors, a more accurate conductor temperature is obtained. When the temperature exceeds the preset threshold, the present invention can also trigger an alarm signal in time. This fusion temperature measurement method improves the accuracy and reliability of conductor temperature monitoring, effectively solves the problem of inaccurate measurement accuracy of a single sensor, and provides a strong guarantee for the safe operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flow chart of the conductor temperature measurement method based on segment weighting of the present invention;

[0046] Figure 2 It is a schematic block diagram of the structure of a conductor temperature measurement device based on segmented weighting according to an embodiment of the present application;

[0047] Figure 3 is a schematic block diagram of the structure of a computer device according to an embodiment of the present application; DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0049] It will be appreciated by those skilled in the art that, unless expressly stated, the singular forms "one", "above", and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present application refers to the presence of features, integers, steps, operations, elements, modules, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, modules, components, and / or groups thereof. It should be understood that when an element is said to be "connected" or "coupled" to another element, it may be directly connected or coupled to the other element, or there may also be an intermediate element. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The term "and / or" used herein includes all or any module and all combinations of one or more associated listed items.

[0050] It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as those generally understood by those skilled in the art to which this application belongs. It should also be understood that terms such as those defined in general dictionaries should be understood to have meanings consistent with those in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless specifically defined as here.

[0051] like Figure 1 The conductor temperature measurement method based on segmented weighting in this embodiment may specifically include steps S1-S4:

[0052] S1. Based on multiple thin-film platinum resistance temperature sensors, obtain a corresponding number of sampling data;

[0053] S2, performing de-extreme value average filtering processing on the corresponding number of sampling data to obtain the temperature output value of the platinum resistance temperature sensor;

[0054] S3, obtaining the temperature output value of the infrared temperature sensor, and determining the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to the preset temperature range of the actual temperature of the current conductor;

[0055] S4. Perform weighted fusion on the temperature output value of the platinum resistance temperature sensor and the temperature output value of the infrared temperature sensor according to the determined weights to obtain a weighted fused conductor temperature value.

[0056] In step S1, according to the plan view of the gripper, the positions of the thin film platinum resistance temperature sensors at the multiple endpoints of the gripper are determined. For example, four endpoints, these endpoint positions should be selected around the wire to represent the overall temperature change of the wire. The thin film platinum resistance temperature sensor is fixed on the surface of the gripper using a spring device. This design allows the sensor to fit the wire tightly while maintaining a certain elasticity to adapt to the expansion and contraction of the wire when the temperature changes. Each designated position corresponds to a thin film platinum resistance temperature sensor. For example, if four detection positions are designated, four thin film platinum resistance temperature sensors are required, and each sensor will produce a change in resistance according to the temperature change around it. Through the connection line, the output end of each thin film platinum resistance temperature sensor is connected to a high-speed analog-to-digital converter (ADC). When the temperature change causes the resistance to change, the sensor will output an analog signal corresponding to the temperature change. The high-speed analog-to-digital converter receives the analog signal from the thin film platinum resistance temperature sensor and converts it into a digital signal. After the analog signal generated by each sensor is converted, a set of digital signals, namely sampling data, is formed. These sampling data will be used for subsequent data processing and analysis. Through multiple thin-film platinum resistance temperature sensors, data representing the temperature changes of the wire can be effectively collected, which provides a basis for subsequent data processing, helps to improve the accuracy of temperature measurement, and provides necessary input for subsequent temperature fusion algorithms.

[0057] In step S2, the main purpose is to improve the reliability of the data collected by the platinum resistance temperature sensor through filtering. By removing outliers (maximum and minimum values) and calculating the average value of the remaining data, the influence of noise and other interference factors on the measurement results can be reduced, thereby obtaining a more accurate and stable temperature output value. Collect the sampled data from multiple thin-film platinum resistance temperature sensors in step S1. Assume that N data points are collected within a certain period of time, and each data point is a digital signal representing the resistance value of the sensor. For each set of sampled data, find the maximum and minimum values.

[0058] Remove these two extreme values ​​to avoid the influence of abnormal values ​​on the subsequent average value calculation. Calculate the average value of the remaining data after removing the extreme values, and calculate the temperature value according to the characteristic equation of the platinum resistance temperature sensor. The characteristic equation of the platinum resistance temperature sensor is usually expressed as: R(t) = R0(1+At+Bt2), where R(t) is the resistance value at temperature t, R0 is the resistance value at the reference temperature (usually the resistance value at 0°C), and A and B are coefficients related to the material. Through the known resistance value (i.e. the average value) and the characteristic equation, the temperature value is obtained by reverse solving. For example, if the platinum resistance temperature sensor model used is PT1000, then the characteristic equation is: R(t) = R0(1+At+Bt2), where A = 0.0038623139728, B = -0.00000065314932626, R0 = 1000. By solving the above equation, the temperature t = 85°C can be obtained. Through the extreme value removal and average filtering process, outliers can be effectively removed and the reliability of data can be improved.

[0059] In step S3, the purpose is to determine the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to the preset temperature interval in which the actual temperature of the current conductor is located. It is to optimize the accuracy of the temperature measurement results according to different temperature ranges. In different temperature intervals, the performance of the two sensors is significantly different. By adjusting the weights between them, their respective advantages can be better utilized, thereby improving the reliability and accuracy of the overall measurement system. Obtain the temperature output value from the infrared temperature sensor. The infrared temperature sensor outputs a digital signal that can be read directly. According to the preset temperature interval division standard, the actual temperature of the conductor (the temperature output value of the infrared temperature sensor read) is divided into several different intervals. In general, it can be defined as a low temperature interval, a medium temperature interval, and a high temperature interval; according to the preset temperature interval in which the actual temperature of the conductor is located, the weights of the platinum resistance temperature sensor and the infrared temperature sensor are determined. Usually, in the low temperature interval and the high temperature interval, the weight of the infrared temperature sensor is higher; while in the medium temperature and normal temperature working intervals, the weight of the platinum resistance temperature sensor is higher. This is because the actual working temperature of the wire is in the medium temperature range. Since it works in this range for a long time, the disadvantage of the thermal response speed of the platinum resistance temperature sensor does not affect the normal operation. Because of its own high precision advantage, the weighted proportion in this range is large; if a thermal step occurs, the proportion of the infrared temperature sensor output data will be increased: in the temperature measurement of the high temperature range, due to the slow thermal response time of the platinum resistance temperature sensor, the weight in the high temperature range is adjusted to a higher proportion of infrared. Similarly, in the low temperature range, due to the slow heat dissipation and cooling speed, the proportion of infrared temperature measurement data is considered to be consistent with the high temperature range. After the temperature data is displayed after the weighted adjustment, even if there is a deviation caused by the thermal response time at that time, the output curve can be close to linear, thereby achieving the result of optimizing the temperature measurement. By adjusting the weights of the platinum resistance temperature sensor and the infrared temperature sensor in different temperature ranges, more reliance can be placed on the infrared temperature sensor with a faster response speed in the high temperature range and the low temperature range, thereby reducing the impact of the slow response speed of the platinum resistance temperature sensor and improving the measurement accuracy of the overall system.

[0060] In step S4, the purpose is to combine the temperature output values ​​of the platinum resistance temperature sensor and the infrared temperature sensor through a weighted fusion algorithm to obtain a more accurate and reliable wire temperature value. According to the preset temperature range of the actual temperature of the current wire determined in step S3, the corresponding weights of the platinum resistance temperature sensor and the infrared temperature sensor are found. The temperature output value y of the platinum resistance temperature sensor after filtering in step S2 is obtained. The temperature output value x of the infrared temperature sensor in step S3 is obtained.

[0061] Assume that the actual temperature of the current conductor is 85°C, which is in the normal temperature working range (80-90°C). Use the determined weights a and b, as well as the temperature output value y of the platinum resistance temperature sensor and the temperature output value x of the infrared temperature sensor, to calculate the weighted fusion conductor temperature value through the weighted formula. The weighted formula is: Tfus ion = ay + bx, where a and b are the weights of the platinum resistance temperature sensor and the infrared temperature sensor, respectively. Use the determined weights a and b, as well as the temperature output value y of the platinum resistance temperature sensor and the temperature output value x of the infrared temperature sensor, to calculate the weighted fusion conductor temperature value through the weighted formula. Assume that in step S2, the temperature output value of the platinum resistance temperature sensor obtained after filtering is 85°C. In step S3, the temperature output value of the infrared temperature sensor is 86°C. Because the actual temperature of the current conductor is 85°C, which is in the normal temperature working range (80-90°C), according to the weight distribution rule, the weight a of the platinum resistance temperature sensor is 80%, and the weight b of the infrared temperature sensor is 20%. The weighted fusion conductor temperature value calculated by the weighted formula is:

[0062] T fusion =ay+bx=0.8×85+0.2×86=68+17.2=85.2° In this step, the temperature output values ​​of the platinum resistance temperature sensor and the infrared temperature sensor are combined through a weighted fusion algorithm, which can solve the problem of sensor performance differences in different temperature ranges, ensure the accuracy and reliability of the final temperature value, reduce the impact of the slow response speed of the platinum resistance temperature sensor, and improve the measurement accuracy of the overall system.

[0063] In one embodiment, based on multiple thin-film platinum resistance temperature sensors, a corresponding number of sampled data are obtained, including:

[0064] S10, according to the gripper plane diagram, install multiple thin-film platinum resistance temperature sensors at multiple ends of the gripper, and fix them on the gripper surface by a spring device;

[0065] S11, according to the arrangement positions of the plurality of thin-film platinum resistance temperature sensors, respectively obtaining the resistance value at the corresponding arrangement position of each sensor, that is, the analog signal;

[0066] S12, using a high-speed analog-to-digital converter to convert the analog signals collected by the multiple thin-film platinum resistance temperature sensors to obtain digital signals of a corresponding number of groups, namely the sampling data.

[0067] In this embodiment, multiple thin-film platinum resistance temperature sensors are installed at multiple ends of the gripper and fixed to the gripper surface by a spring device to collect temperature data around the wire. In this way, the accuracy and reliability of temperature measurement can be improved, and high-quality raw data can be provided for subsequent data processing. According to the gripper plan, multiple thin-film platinum resistance temperature sensors are installed at multiple ends of the gripper.

[0068] The sensors are fixed on the surface of the gripper using a spring device to ensure close contact between the sensor and the wire, while maintaining appropriate elasticity to adapt to the thermal expansion and contraction of the wire. According to the arrangement positions of multiple thin-film platinum resistance temperature sensors, the resistance value of each sensor at the corresponding arrangement position, i.e., the analog signal, is obtained.

[0069] These analog signals reflect the temperature changes at the location of the sensor. As the temperature changes, the resistance of the sensor will also change. A high-speed analog-to-digital converter is used to convert the analog signals collected by multiple thin-film platinum resistance temperature sensors. The analog signals are converted into digital signals, i.e., sampled data. These digital signals can be easily stored and processed and used for subsequent data analysis.

[0070] In one embodiment, performing de-extreme value averaging filtering on a corresponding number of sampled data to obtain a temperature output value of a platinum resistance temperature sensor includes:

[0071] S20, performing de-extreme value average filtering processing on the corresponding number of sampled data, removing the maximum and minimum values ​​of the sampled data and then calculating the average value to obtain the corresponding number of valid sampled values;

[0072] S21. If the difference between the corresponding number of valid sampling values ​​exceeds the preset threshold range, the sampling data is judged to be unreliable, and the number of sampling times is increased until the difference between the corresponding number of valid sampling values ​​is within the preset threshold range. In this case, the sampling data is judged to be credible, and the average value of the corresponding number of valid sampling values ​​is taken as the temperature output value of the platinum resistance temperature sensor.

[0073] In one embodiment, the sampled data collected by each thin-film platinum resistance temperature sensor is subjected to de-extreme value processing. The maximum and minimum values ​​in the sampled data are found, and these two extreme values ​​are removed. The average value of the remaining data is calculated to obtain the valid sampled value. Check whether the difference between the valid sampled values ​​exceeds the preset threshold range. If the difference exceeds the preset threshold range, the sampled data is considered unreliable. In this case, the number of sampling times is increased, and step S20 is repeated until the difference between the valid sampled values ​​falls within the preset threshold range. When the difference between the valid sampled values ​​is within the preset threshold range, the sampled data is considered to be credible, and the average value of these valid sampled values ​​is taken as the temperature output value of the platinum resistance temperature sensor. Through de-extreme value averaging filtering, we can effectively remove outliers and improve the reliability of the data.

[0074] In one embodiment, the preset temperature range includes a low temperature range, a medium temperature range and a high temperature range; the step of obtaining the temperature output value of the infrared temperature sensor and determining the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to the preset temperature range in which the actual temperature of the current conductor is located includes:

[0075] S30, if the actual temperature of the current conductor is in the low temperature range or the high temperature range, the weight of the infrared temperature sensor is greater than the weight of the platinum resistance temperature sensor;

[0076] S31. If the current actual temperature of the conductor is in the medium temperature range, the weight of the platinum resistance temperature sensor is greater than the weight of the infrared temperature sensor.

[0077] In this embodiment, when the actual temperature of the current conductor is in a low temperature range (such as 0-30° C.) or a high temperature range (such as 90-140° C.), the weight of the infrared temperature sensor is greater than the weight of the platinum resistance temperature sensor.

[0078] This is because in these temperature ranges, the infrared temperature sensor responds faster, while the platinum resistance temperature sensor responds relatively slowly. When the actual temperature of the current conductor is in the medium temperature range (such as 30-80°C), the weight of the platinum resistance temperature sensor is greater than the weight of the infrared temperature sensor. This is because in these temperature ranges, the accuracy of the platinum resistance temperature sensor is not greatly affected, and the calculation accuracy is more detailed. By determining the preset temperature range where the actual temperature of the current conductor is located and adjusting the weights of the platinum resistance temperature sensor and the infrared temperature sensor accordingly, we can optimize the temperature measurement results.

[0079] In one embodiment, the step of obtaining the temperature output value of the infrared temperature sensor and determining the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to the preset temperature range in which the actual temperature of the current conductor is located includes:

[0080] S40, obtaining a temperature output value x of the infrared temperature sensor and a temperature output value y of the platinum resistance temperature sensor;

[0081] S41, judging the temperature range to which the actual temperature of the current conductor belongs according to the preset temperature range;

[0082] S40, if the current actual temperature of the wire is in the low temperature range of 0-30°C, the weight a of the platinum resistance temperature sensor is set to 0%, and the weight b of the infrared temperature sensor is set to 100%;

[0083] S42, if the current actual temperature of the conductor is in the medium temperature range of 30-80°C, the weight a of the platinum resistance temperature sensor is set to 65%, and the weight b of the infrared temperature sensor is set to 35%;

[0084] S43, if the current actual temperature of the wire belongs to the normal temperature working range of 80-90°C, the weight a of the platinum resistance temperature sensor is set to 80%, and the weight b of the infrared temperature sensor is set to 20%;

[0085] S44, if the current actual temperature of the conductor is in the high temperature range of 90-140°C, the weight a of the platinum resistance temperature sensor is set to 35%, and the weight b of the infrared temperature sensor is set to 65%;

[0086] S45, if the current actual temperature of the conductor belongs to the ultra-high temperature range above 140°C, the weight a of the platinum resistance temperature sensor is set to 0%, and the weight b of the infrared temperature sensor is set to 100%;

[0087] S46. Use the formula ax+by to calculate the weighted temperature output value, where x is the temperature output value of the infrared temperature sensor, y is the temperature output value of the platinum resistance temperature sensor, a is the weight of the platinum resistance temperature sensor, and b is the weight of the infrared temperature sensor.

[0088] In this embodiment, the temperature output value x of the infrared temperature sensor is obtained; the temperature output value y of the platinum resistance temperature sensor is obtained, and the temperature interval to which the actual temperature of the current conductor belongs is determined according to the preset temperature interval; and the weights of the platinum resistance temperature sensor and the infrared temperature sensor are determined according to the temperature interval to which the actual temperature of the current conductor belongs.

[0089] Low temperature range (0-30°C): platinum resistance temperature sensor weight a=0%, infrared temperature sensor weight b=100%.

[0090] Medium temperature range (30-80°C): platinum resistance temperature sensor weight a=65%, infrared temperature sensor weight b=35%.

[0091] Normal temperature working range (80-90°C): platinum resistance temperature sensor weight a=80%, infrared temperature sensor weight b=20%.

[0092] High temperature range (90-140°C): platinum resistance temperature sensor weight a=35%, infrared temperature sensor weight b=65%.

[0093] Ultra-high temperature range (above 140°C): Platinum resistance temperature sensor weight a = 0%, infrared temperature sensor weight b = 100%. Using the determined weights a and b, as well as the temperature output value y of the platinum resistance temperature sensor and the temperature output value x of the infrared temperature sensor, the weighted fusion wire temperature value is calculated through the weighted formula.

[0094] The weighted formula is: Tfus ion = ax + byTfus ion = ax + by, where aa and bb are the weights of the platinum resistance temperature sensor and the infrared temperature sensor, respectively, and xx and yy are their temperature output values. By determining the preset temperature range of the actual temperature of the current conductor and adjusting the weights of the platinum resistance temperature sensor and the infrared temperature sensor accordingly, a weighted fusion calculation was successfully performed to obtain a more accurate and reliable conductor temperature value, ensuring the accuracy and reliability of the final temperature value.

[0095] In one embodiment, the weighted fusion of the temperature output value of the platinum resistance temperature sensor and the temperature output value of the infrared temperature sensor according to the determined weight to obtain the weighted fused wire temperature value includes:

[0096] S50, displaying the calculated weighted temperature output value to the user as the final temperature measurement result, and transmitting the weighted temperature output value to the temperature monitoring and control module for temperature abnormality judgment and temperature adjustment control.

[0097] In this embodiment, the calculated weighted temperature output value is displayed to the user and passed to the temperature monitoring and control module for temperature abnormality judgment and temperature adjustment control. The purpose of this is to ensure that the user can understand the temperature condition of the wire in real time and can take appropriate measures as needed to maintain the safety and stable operation of the system. The calculated weighted temperature output value is displayed to the user. The user can view the real-time temperature of the wire through a display screen or a mobile device application. The weighted temperature output value is passed to the temperature monitoring and control module. This module is responsible for monitoring whether the temperature exceeds the normal range and taking measures to adjust the temperature when necessary. By displaying the calculated weighted temperature output value to the user and passing it to the temperature monitoring and control module, we can ensure that the user can understand the temperature condition of the wire in real time and can take appropriate measures when necessary to maintain the safety and stable operation of the system.

[0098] In one embodiment, the weighted fusion of the temperature output value of the platinum resistance temperature sensor and the temperature output value of the infrared temperature sensor according to the determined weight to obtain the weighted fused wire temperature value includes:

[0099] S60, determining whether the wire temperature value after weighted fusion exceeds a preset threshold value, and if so, triggering an alarm signal, and transmitting the alarm signal to a monitoring system;

[0100] S61. After receiving the alarm signal, the monitoring system takes corresponding processing measures according to the type and level of the alarm signal, such as sending text messages and emails to notify relevant personnel, or cutting off the power supply of the wire to prevent the wire from overheating and causing a safety accident.

[0101] In this embodiment, the purpose is to determine whether the wire temperature value exceeds the preset threshold value based on the weighted fusion, and trigger an alarm signal when it exceeds the threshold value, and transmit the alarm signal to the monitoring system. The monitoring system will take corresponding processing measures according to the type and level of the alarm signal to prevent safety accidents caused by overheating of the wire.

[0102] refer to Figure 2 , a multi-redundant conductor temperature measurement device based on segment weighting, comprising:

[0103] The data acquisition module 100 is used to acquire a corresponding amount of sampled data based on multiple thin-film platinum resistance temperature sensors;

[0104] The processing module 200 is used to perform de-extreme value averaging filtering on a corresponding number of sampled data to obtain a temperature output value of a platinum resistance temperature sensor;

[0105] The weight adjustment module 300 is used to obtain the temperature output value of the infrared temperature sensor and determine the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to the preset temperature range of the actual temperature of the current conductor;

[0106] The weighted fusion module 400 is used to perform weighted fusion on the temperature output value of the platinum resistance temperature sensor and the temperature output value of the infrared temperature sensor according to the determined weights, so as to obtain the weighted fused conductor temperature value.

[0107] In one embodiment, the data acquisition module 100 includes:

[0108] The sampling installation unit is used to install multiple thin-film platinum resistance temperature sensors at multiple ends of the gripper according to the gripper plane diagram, and fix them on the gripper surface through a spring device;

[0109] According to the arrangement positions of the plurality of thin-film platinum resistance temperature sensors, the resistance value at the corresponding arrangement position of each sensor is obtained, that is, an analog signal;

[0110] A high-speed analog-to-digital converter is used to convert analog signals collected by multiple thin-film platinum resistance temperature sensors to obtain digital signals of corresponding groups, namely the sampling data.

[0111] In one embodiment, the processing module 200 includes:

[0112] The average filtering processing unit is used to perform de-extreme average filtering on the corresponding number of sampled data, remove the maximum and minimum values ​​of the sampled data, and then calculate the average value to obtain the corresponding number of valid sampled values;

[0113] If the difference between the corresponding number of valid sampling values ​​exceeds the preset threshold range, the sampling data is judged to be unreliable, and the number of sampling times is increased until the difference between the corresponding number of valid sampling values ​​is within the preset threshold range. In this case, the sampling data is judged to be credible, and the average value of the corresponding number of valid sampling values ​​is taken as the temperature output value of the platinum resistance temperature sensor.

[0114] In one embodiment, the weight adjustment module 300 includes:

[0115] A high and low temperature setting unit is used to make the weight of the infrared temperature sensor greater than the weight of the platinum resistance temperature sensor if the actual temperature of the current conductor is in the low temperature range or the high temperature range;

[0116] If the current actual temperature of the conductor is in the medium temperature range, the weight of the platinum resistance temperature sensor is greater than the weight of the infrared temperature sensor.

[0117] In one embodiment, the adjustment module 300 further includes:

[0118] An interval weight adjustment unit, used to obtain a temperature output value x of the infrared temperature sensor and a temperature output value y of the platinum resistance temperature sensor;

[0119] According to the preset temperature range, determine the temperature range to which the actual temperature of the current conductor belongs;

[0120] If the current actual temperature of the wire is in the low temperature range of 0-30°C, the weight a of the platinum resistance temperature sensor is set to 0%, and the weight b of the infrared temperature sensor is set to 100%;

[0121] If the current actual temperature of the conductor is in the medium temperature range of 30-80°C, the weight a of the platinum resistance temperature sensor is set to 65%, and the weight b of the infrared temperature sensor is set to 35%;

[0122] If the actual temperature of the current conductor is in the normal temperature range of 80-90°C, the weight a of the platinum resistance temperature sensor is set to 80%, and the weight b of the infrared temperature sensor is set to 20%;

[0123] If the current actual temperature of the conductor is in the high temperature range of 90-140°C, the weight a of the platinum resistance temperature sensor is set to 35%, and the weight b of the infrared temperature sensor is set to 65%;

[0124] If the current actual temperature of the wire is in the ultra-high temperature range above 140°C, the weight a of the platinum resistance temperature sensor is set to 0%, and the weight b of the infrared temperature sensor is set to 100%;

[0125] The weighted temperature output value is calculated using the formula ax+by, where x is the temperature output value of the infrared temperature sensor, y is the temperature output value of the platinum resistance temperature sensor, a is the weight of the platinum resistance temperature sensor, and b is the weight of the infrared temperature sensor.

[0126] In one embodiment, the above-mentioned device further includes a display module, and the display module includes:

[0127] The output display unit is used to display the calculated weighted temperature output value to the user as the final temperature measurement result, and transmit the weighted temperature output value to the temperature monitoring and control module for temperature anomaly judgment and temperature adjustment control.

[0128] In one embodiment, the above device further includes an early warning module, and the early warning module includes:

[0129] A judgment transmission unit is used to judge whether the wire temperature value after weighted fusion exceeds a preset threshold value. If it exceeds the preset threshold value, an alarm signal is triggered and the alarm signal is transmitted to the monitoring system;

[0130] After receiving the alarm signal, the monitoring system takes corresponding processing measures according to the type and level of the alarm signal, such as sending text messages and emails to notify relevant personnel, or cutting off the power supply of the wire to prevent the wire from overheating and causing safety accidents.

[0131] Reference Figure 3 In the embodiment of the present application, a computer device is also provided. The computer device may be a server, and its internal structure may be as follows: Figure 3As shown. The computer device includes a processor, a memory, a network interface and a database connected by a bus. Among them, the processor designed by the computer is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores operations, computer programs and databases. The memory provides an environment for the operation of the operations and computer programs in the non-volatile storage medium. The database of the computer device is used to store data such as a multi-redundant wire temperature measurement method based on segmented weighting. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by a processor, a multi-redundant conductor temperature measurement method based on segmented weighting is implemented, comprising the following steps: based on multiple thin-film platinum resistance temperature sensors, a corresponding number of sampling data are obtained; the corresponding number of sampling data are subjected to extreme value average filtering processing to obtain a temperature output value of the platinum resistance temperature sensor; the temperature output value of the infrared temperature sensor is obtained, and the weights of the platinum resistance temperature sensor and the infrared temperature sensor are determined according to a preset temperature range in which the actual temperature of the current conductor is located; and according to the determined weights, the temperature output value of the platinum resistance temperature sensor and the temperature output value of the infrared temperature sensor are weightedly fused to obtain a weighted fused conductor temperature value.

[0132] An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, a multi-redundant wire temperature measurement method based on segmented weighting is implemented, including the steps of: obtaining a corresponding number of sampling data based on multiple thin-film platinum resistance temperature sensors; performing de-extreme value average filtering on the corresponding number of sampling data to obtain a temperature output value of the platinum resistance temperature sensor; obtaining the temperature output value of the infrared temperature sensor, and determining the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to a preset temperature range in which the actual temperature of the current wire is located; and performing weighted fusion on the temperature output value of the platinum resistance temperature sensor and the temperature output value of the infrared temperature sensor according to the determined weights to obtain a weighted fused wire temperature value.

[0133] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided in the present application and used in the embodiments can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double-speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchl ink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0134] The above description is only a preferred embodiment of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A conductor temperature measurement method based on segmented weighting, characterized in that: The method comprises: Based on multiple thin-film platinum resistance temperature sensors, a corresponding number of sampling data are obtained; Perform de-extreme value averaging filtering on the corresponding number of sampled data to obtain the temperature output value of the platinum resistance temperature sensor; Obtain the temperature output value of the infrared temperature sensor, and determine the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to the preset temperature range of the actual temperature of the current conductor; According to the determined weights, the temperature output values ​​of the platinum resistance temperature sensor and the temperature output values ​​of the infrared temperature sensor are weightedly fused to obtain a weighted fused conductor temperature value.

2. The method according to claim 1, characterized in that Based on multiple thin-film platinum resistance temperature sensors, a corresponding number of sampling data are obtained, including: According to the plane diagram of the gripper, multiple thin-film platinum resistance temperature sensors are respectively installed at multiple ends of the gripper, and fixed to the surface of the gripper by a spring device; According to the arrangement positions of the plurality of thin-film platinum resistance temperature sensors, the resistance value at the corresponding arrangement position of each sensor is obtained, that is, an analog signal; A high-speed analog-to-digital converter is used to convert analog signals collected by multiple thin-film platinum resistance temperature sensors to obtain digital signals of corresponding groups, namely the sampling data.

3. The method according to claim 1, characterized in that The step of performing de-extreme value averaging filtering on the corresponding number of sampled data to obtain the temperature output value of the platinum resistance temperature sensor includes: The corresponding number of sampling data are respectively subjected to extreme value removal and average filtering, and the maximum and minimum values ​​of the sampling data are removed and then the average value is calculated to obtain the corresponding number of valid sampling values; If the difference between the corresponding number of valid sampling values ​​exceeds the preset threshold range, the sampling data is judged to be unreliable, and the number of sampling times is increased until the difference between the corresponding number of valid sampling values ​​is within the preset threshold range. In this case, the sampling data is judged to be credible, and the average value of the corresponding number of valid sampling values ​​is taken as the temperature output value of the platinum resistance temperature sensor.

4. The method according to claim 1, characterized in that: The preset temperature range includes a low temperature range, a medium temperature range and a high temperature range; the step of obtaining the temperature output value of the infrared temperature sensor and determining the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to the preset temperature range in which the actual temperature of the current conductor is located includes: If the actual temperature of the current conductor is in the low temperature range or the high temperature range, the weight of the infrared temperature sensor is greater than the weight of the platinum resistance temperature sensor; If the current actual temperature of the conductor is in the medium temperature range, the weight of the platinum resistance temperature sensor is greater than the weight of the infrared temperature sensor.

5. The method according to claim 4, characterized in that The step of obtaining the temperature output value of the infrared temperature sensor and determining the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to the preset temperature range in which the actual temperature of the current conductor is located includes: Obtain the temperature output value x of the infrared temperature sensor and the temperature output value y of the platinum resistance temperature sensor; According to the preset temperature range, determine the temperature range to which the actual temperature of the current conductor belongs; If the current actual temperature of the wire is in the low temperature range of 0-30°C, the weight a of the platinum resistance temperature sensor is set to 0%, and the weight b of the infrared temperature sensor is set to 100%; If the current actual temperature of the conductor is in the medium temperature range of 30-80°C, the weight a of the platinum resistance temperature sensor is set to 65%, and the weight b of the infrared temperature sensor is set to 35%; If the actual temperature of the current conductor is in the normal temperature range of 80-90°C, the weight a of the platinum resistance temperature sensor is set to 80%, and the weight b of the infrared temperature sensor is set to 20%; If the current actual temperature of the conductor is in the high temperature range of 90-140°C, the weight a of the platinum resistance temperature sensor is set to 35%, and the weight b of the infrared temperature sensor is set to 65%; If the current actual temperature of the wire is in the ultra-high temperature range above 140°C, the weight a of the platinum resistance temperature sensor is set to 0%, and the weight b of the infrared temperature sensor is set to 100%; The weighted temperature output value is calculated using the formula ax+by, where x is the temperature output value of the infrared temperature sensor, y is the temperature output value of the platinum resistance temperature sensor, a is the weight of the platinum resistance temperature sensor, and b is the weight of the infrared temperature sensor.

6. The method according to claim 1, characterized in that According to the determined weights, the temperature output values ​​of the platinum resistance temperature sensor and the temperature output values ​​of the infrared temperature sensor are weightedly fused to obtain the weighted fused conductor temperature value, and the method further comprises: The calculated weighted temperature output value is displayed to the user as the final temperature measurement result, and the weighted temperature output value is transmitted to the temperature monitoring and control module for temperature anomaly judgment and temperature regulation control.

7. The method according to claim 1, characterized in that According to the determined weights, the temperature output values ​​of the platinum resistance temperature sensor and the temperature output values ​​of the infrared temperature sensor are weightedly fused to obtain the weighted fused conductor temperature value, and the method further comprises: Determine whether the wire temperature value after weighted fusion exceeds a preset threshold value. If it exceeds the preset threshold value, trigger an alarm signal and transmit the alarm signal to the monitoring system; After receiving the alarm signal, the monitoring system takes appropriate measures according to the type and level of the alarm signal. The appropriate measures include sending text messages and emails to notify relevant personnel, or cutting off the power supply of the wire to prevent the wire from overheating and causing safety accidents.

8. A multi-redundant conductor temperature measurement device based on segmented weighting, characterized in that: include: A data acquisition module, used for acquiring a corresponding amount of sampling data based on multiple thin-film platinum resistance temperature sensors; A processing module is used to perform de-extreme value averaging filtering on a corresponding number of sampled data to obtain a temperature output value of a platinum resistance temperature sensor; The weight adjustment module is used to obtain the temperature output value of the infrared temperature sensor and determine the weights of the platinum resistance temperature sensor and the infrared temperature sensor according to the preset temperature range of the actual temperature of the current conductor; The weighted fusion module is used to perform weighted fusion on the temperature output value of the platinum resistance temperature sensor and the temperature output value of the infrared temperature sensor according to the determined weights, so as to obtain the weighted fused conductor temperature value.

9. A computer device, characterized in that: include: processor; Memory for storing computer programs; Wherein, when the processor executes the computer program, the multi-redundant wire temperature measurement method based on segmented weighting according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the multi-redundant wire temperature measurement method based on segmented weighting according to any one of claims 1 to 7 is implemented.

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