Automobile temperature sensor comprehensive performance detection and evaluation system

Abstract

The present application relates to the technical field of sensor performance detection, and particularly relates to a kind of automobile temperature sensor comprehensive performance detection evaluation system, including performance detection platform, interference information unit, detection control interference unit, appearance interference supervision unit, work supervision unit, adaptability evaluation unit, fusion evaluation unit and management response unit;The present application is analyzed from two angles of detection equipment and target temperature sensor appearance, to reduce the influence of interference factors on detection results, and under the premise that detection equipment and target temperature sensor are normal, it is analyzed from two points of work stability performance and adaptability performance, to provide data support for subsequent comprehensive performance evaluation, while understanding the work stability performance and adaptability performance of target temperature sensor, and the comprehensive performance evaluation analysis is carried out by the way of information feedback, so that the comprehensive performance evaluation result of target temperature sensor can be directly understood.

Description

Technical Field

[0001] This invention relates to the field of sensor performance testing technology, and in particular to a comprehensive performance testing and evaluation system for automotive temperature sensors. Background Technology

[0002] An automotive temperature sensor is a device used to measure the temperature of engine coolant in a vehicle. Its working principle is based on the thermoelectric effect and resistance-temperature characteristics. A temperature sensor typically consists of a thermistor and a circuit. Automotive temperature sensors are essential detection components for automobiles, and the testing items for automotive temperature sensors typically include performance testing, appearance inspection, etc. As one of the commonly used sensors in vehicle monitoring, the performance testing process of automotive temperature sensors has shortcomings: it is impossible to monitor interfering factors that affect the test results, which leads to excessive deviation in the test results due to interference factors during the testing process. This is not conducive to the accurate performance testing of automotive temperature sensors, and it is also impossible to integrate and evaluate the comprehensive performance of automotive temperature sensors, which is not conducive to the targeted management of automotive temperature sensors. To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0003] The purpose of this invention is to provide a comprehensive performance testing and evaluation system for automotive temperature sensors to address the aforementioned technical deficiencies. This invention analyzes the system from two perspectives: the appearance of the testing equipment and the target temperature sensor, to reduce the impact of interference factors on the testing results. Under the premise that both the testing equipment and the target temperature sensor are functioning normally, the system analyzes the system from two aspects: operational stability and adaptability, in order to provide data support for subsequent comprehensive performance evaluation and improve the accuracy of the analysis results.

[0004] The objective of this invention can be achieved through the following technical solution: a comprehensive performance testing and evaluation system for automotive temperature sensors, comprising a performance testing platform, an interference information unit, a detection and control interference unit, an appearance interference monitoring unit, a work monitoring unit, an adaptability evaluation unit, a fusion evaluation unit, and a management response unit; The interference information unit is used to collect parameter control data of the detection equipment and appearance information of the target temperature sensor; The detection and control interference unit is used to perform time-period detection parameter control interference risk analysis on the collected parameter control data, and compare and analyze the obtained control deviation rate and state evaluation value to obtain normal signals and abnormal signals. The appearance interference monitoring unit is used to perform appearance interference monitoring assessment and analysis on the collected appearance information, compare and analyze the obtained appearance interference risk ratio, and obtain qualified signals and interference signals. The work monitoring unit is used to perform stability monitoring and evaluation analysis on the collected work performance data, compare and analyze the obtained repeatability stability coefficients, and obtain stable signals and fluctuation signals. The adaptive evaluation unit is used to perform adaptive performance evaluation and analysis on the working adaptive data of the target temperature sensor to obtain adaptive signals and repulsion signals; The fusion evaluation unit is used to perform comprehensive performance evaluation analysis, compare and analyze the obtained comprehensive performance evaluation coefficients, and obtain comprehensive stable signals and comprehensive floating signals.

[0005] Preferably, the time-period detection parameter regulation interference risk analysis process of the detection and regulation interference unit is as follows: The detection period of the target temperature sensor is collected and set as a time threshold. The parameter control data of the detection device within the time threshold is obtained. The parameter control data includes the control deviation rate and the state evaluation value. The control deviation rate and the state evaluation value are compared and analyzed with the preset control deviation rate threshold and the preset state evaluation value threshold recorded and stored in its internal system to obtain a normal signal or normal signal.

[0006] Preferably, the analysis process of the control deviation rate is as follows: If, within a time threshold, the difference between the actual value and the set value of the control operation in a single control of the detection device is greater than a preset threshold, then this control is set as the number of error control operations. The proportion of the number of error control operations in the total number of control operations of the detection device is then set as the control deviation rate. The detection parameter information includes temperature and current. The state evaluation value represents the duration for which the actual state value corresponding to the working state parameter of the detection device within the time threshold is greater than or equal to the preset state value.

[0007] Preferably, the appearance interference monitoring and assessment analysis process of the appearance interference monitoring unit is as follows: S1: Obtain the appearance information of the target temperature sensor inside the detection device within the time threshold. The appearance information represents the appearance feature image. Divide the appearance feature image into k sub-region blocks, where k is a natural number greater than zero. Perform grayscale processing on the appearance feature image of each sub-region block to obtain the grayscale value corresponding to each pixel in each sub-region block. Compare and analyze the grayscale value with the grayscale value threshold. Set the pixel grid corresponding to the grayscale value greater than the preset grayscale value threshold as "1" and set the pixel grid corresponding to the grayscale value less than or equal to the preset grayscale value threshold as "0". Obtain the total number of "1" and "0" respectively. Extract and combine the total number of "1" and "0" numbers and set the string obtained by the number extraction and combination as the recognition feature string. S12: Compare and analyze the identification feature string with the preset identification feature string stored internally to obtain the normal area and the defect area. The number of defective areas and the number of normal areas are set as the appearance interference risk ratio. The appearance interference risk ratio is compared and analyzed with the preset appearance interference risk ratio stored internally to obtain qualified signals or interference signals.

[0008] Preferably, the stability monitoring and evaluation analysis process of the work supervision unit is as follows: T1: Set the operating temperature range of the target temperature sensor, divide the operating temperature range into i sub-temperature segments, where i is a natural number greater than zero, and obtain the response evaluation value of the target temperature sensor in each sub-temperature segment within the time threshold. The response evaluation value represents the time from when the target temperature sensor receives the temperature change signal to when it outputs the result. T2: Obtain the difference between the actual measured temperature value and the actual temperature value of the target temperature sensor in each sub-temperature segment within the time threshold, and set the difference between the actual measured temperature value and the actual temperature value as the acquisition accuracy value; T3: Compare and analyze the response evaluation value and the acquisition accuracy value with the preset response evaluation value threshold and the preset acquisition accuracy value threshold stored in its internal memory to obtain a valid signal or an invalid signal; T4: Obtain the number of invalid signals and the number of valid signals, set the difference between the number of invalid signals and the number of valid signals as the repeatability stability coefficient, and compare and analyze the repeatability stability coefficient with the acquisition accuracy value and the preset repeatability stability coefficient threshold stored in its internal memory to obtain stable signals or fluctuating signals.

[0009] Preferably, the adaptive performance evaluation and analysis process of the adaptive evaluation unit is as follows: Set the operating voltage of m target temperature sensors, where m is a natural number greater than zero. Obtain the percentage of the total number of temperature measurements taken by the target temperature sensors under each operating voltage where the acquisition accuracy value is greater than the preset acquisition accuracy value threshold. Set the percentage of the total number of temperature measurements taken by the target temperature sensors under each operating voltage where the acquisition accuracy value is greater than the preset acquisition accuracy value threshold as the working deviation evaluation coefficient. The working deviation evaluation coefficient is compared with the preset working deviation evaluation coefficient threshold stored in its internal database. If the working deviation evaluation coefficient is greater than or equal to the preset working deviation evaluation coefficient threshold, the number of working voltages corresponding to the working deviation evaluation coefficient being greater than or equal to the preset working deviation evaluation coefficient threshold is set as the non-adaptive value n, and the ratio of the non-adaptive value n to m is set as the adaptive performance evaluation rate. The adaptation performance evaluation rate is compared with the preset adaptation performance evaluation rate threshold number stored internally to obtain the adaptation signal or rejection signal.

[0010] Preferably, the comprehensive performance evaluation and analysis process of the fusion evaluation unit is as follows: The repeatability stability coefficient of the target temperature sensor within the time threshold is obtained, and the adaptive performance evaluation rate of the target temperature sensor within the time threshold is also obtained. The value obtained by normalizing the repeatability stability coefficient and the adaptive performance evaluation rate and multiplying them by the corresponding preset weight coefficient is set as the comprehensive performance evaluation coefficient. The comprehensive performance evaluation coefficient is compared and analyzed with the preset comprehensive performance evaluation coefficient thresholds that are entered and stored internally to obtain a comprehensive stable signal or a comprehensive floating signal.

[0011] The beneficial effects of this invention are as follows: (1) This invention analyzes the detection equipment and the target temperature sensor from two perspectives to reduce the impact of interference factors on the detection results and ensure the accuracy of the detection results. Specifically, it performs time-period detection parameter adjustment interference risk analysis on parameter control data to understand whether the parameter adjustment of the detection equipment is normal and accurate, so as to reduce the detection error risk of the detection equipment and ensure the effectiveness of detection parameter control of the detection equipment. It also performs appearance interference supervision and evaluation analysis on appearance information to avoid large deviations in the detection results caused by its own defects, so as to replace the target temperature sensor in a timely manner and ensure the accuracy of the target temperature sensor performance detection results. (2) Under the premise that the detection equipment and the target temperature sensor are normal, the present invention analyzes the working stability performance and adaptability performance from two aspects to provide data support for the subsequent comprehensive performance evaluation, and at the same time helps to improve the accuracy of the analysis results. That is, the working performance data is analyzed for stability monitoring to understand whether the working stability performance of the target temperature sensor is qualified, and the working adaptability data is analyzed for adaptability performance to understand the stability of the adaptability performance of the target temperature sensor. The comprehensive performance evaluation analysis is carried out through information feedback, and the comprehensive performance evaluation results of the target temperature sensor are intuitively understood through text display. Attached Figure Description

[0012] The invention will now be further described with reference to the accompanying drawings; Figure 1 This is a flowchart of the system of the present invention; Figure 2 This is a partial analysis diagram of Embodiment 1 of the present invention. Detailed Implementation

[0013] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0014] Example 1: Please see Figures 1 to 2 As shown, this invention is a comprehensive performance testing and evaluation system for automotive temperature sensors, including a performance testing platform, an interference information unit, a detection and control interference unit, an appearance interference monitoring unit, a work monitoring unit, an adaptability evaluation unit, a fusion evaluation unit, and a management response unit. The performance testing platform and the interference information unit have a one-way communication connection. The interference information unit has a one-way communication connection with both the detection and control interference unit and the appearance interference monitoring unit. The detection and control interference unit has a one-way communication connection with the work monitoring unit, the adaptability evaluation unit, and the management response unit. The appearance interference monitoring unit has a one-way communication connection with both the work monitoring unit, the adaptability evaluation unit, and the management response unit. The work monitoring unit and the adaptability evaluation unit have a one-way communication connection with both the fusion evaluation unit and the management response unit. The fusion evaluation unit has a one-way communication connection with the management response unit. When the performance testing platform generates a monitoring instruction, it sends the instruction to the interference information unit. Upon receiving the instruction, the interference information unit immediately collects the parameter adjustment data of the testing equipment and the appearance information of the target temperature sensor, and sends the parameter adjustment data and appearance information to the testing and control interference unit and the appearance interference monitoring unit, respectively. Upon receiving the parameter adjustment data, the testing and control interference unit immediately performs a time-period testing parameter adjustment interference risk analysis to understand whether the parameter adjustment of the testing equipment is normal and accurate, so as to reduce the testing error risk of the testing equipment and ensure the effectiveness of the testing equipment's testing parameter adjustment. The specific time-period testing parameter adjustment interference risk analysis process is as follows: The vehicle temperature sensor inside the detection equipment is obtained and set as the target temperature sensor. The detection period of the target temperature sensor is collected and set as the time threshold. The parameter control data of the detection equipment within the time threshold is obtained. The parameter control data includes the control deviation rate and the status evaluation value. In this embodiment of the invention, the analysis process of the control deviation rate is as follows: If the difference between the actual value and the set value of the control operation in a single control of the detection device within the time threshold is greater than the preset threshold, then this control is set as the number of error control times. Then, the proportion of the number of error control times in the total number of control times of the detection device is set as the control deviation rate. The detection parameter information includes temperature, current, etc. It should be noted that the control deviation rate is a parameter that reflects the influence of the control accuracy of the detection parameter information of the detection device. That is, from the perspective of historical control accuracy, the parameter control of the detection device is analyzed for safety to ensure the effectiveness of the parameter control of the detection device, thereby reducing the risk of performance evaluation deviation of the automotive temperature sensor. In this embodiment of the invention, the state evaluation value represents the duration for which the actual state value corresponding to the working state parameter of the detection device within the time threshold is greater than or equal to the preset state value. It should be noted that the analysis is performed from the perspective of the operating state of the detection device to ensure the detection stability and safety of the detection device and to ensure the smooth progress of the entire detection process. The control deviation rate and status assessment value are compared and analyzed with the preset control deviation rate threshold and preset status assessment value threshold that are entered and stored internally: If the control deviation rate is less than the preset control deviation rate threshold and the status assessment value is less than the preset status assessment value threshold, a normal signal is generated and sent to the work supervision unit and the adaptability assessment unit. If the control deviation rate is greater than or equal to the preset control deviation rate threshold, or the status assessment value is greater than or equal to the preset status assessment value threshold, an abnormal signal is generated and sent to the management response unit. Upon receiving the abnormal signal, the management response unit immediately displays the preset warning text corresponding to the abnormal signal, namely, the preset warning text corresponding to the abnormal signal is "status risk". This allows the detection equipment to be managed based on the information feedback, ensuring the effectiveness of the detection parameter control of the detection equipment and reducing the detection error risk of the detection equipment. Upon receiving appearance information, the appearance interference monitoring unit immediately conducts an appearance interference monitoring assessment and analysis to avoid significant deviations in test results due to its own defects. This allows for timely replacement of the target temperature sensor, ensuring the accuracy of the target temperature sensor's performance test results. The specific appearance interference monitoring assessment and analysis process is as follows: The appearance information of the target temperature sensor inside the detection device within a time threshold is obtained. The appearance information represents the appearance feature image. The appearance feature image is divided into k sub-regions, where k is a natural number greater than zero. The appearance feature image of each sub-region is grayscaled to obtain the grayscale value corresponding to each pixel in each sub-region. The grayscale value is compared and analyzed with the grayscale value threshold. Pixels with grayscale values ​​greater than the preset grayscale value threshold are set as "1", and pixels with grayscale values ​​less than or equal to the preset grayscale value threshold are set as "0". The total number of "1" and "0" is obtained respectively. The total number of "1" and "0" is extracted and combined. The string obtained by the digital extraction and combination is set as the recognition feature string. It should be noted that the recognition feature string is an influencing parameter reflecting whether the sub-region image is normal. The identification feature string is compared and analyzed one by one with the preset identification feature strings that are entered and stored internally: If the recognition feature string corresponds one-to-one with the preset recognition feature string, then the corresponding sub-region is set as a normal region; If the identification feature string does not correspond one-to-one with the preset identification feature string, the corresponding sub-region is set as a defect region. The number of defect regions and the number of normal regions are set as the appearance interference risk ratio. The appearance interference risk ratio is then compared and analyzed with the preset appearance interference risk ratio stored internally. If the appearance interference risk ratio is less than the preset appearance interference risk ratio threshold, a qualified signal is generated and sent to the work supervision unit and the adaptability assessment unit. If the appearance interference risk ratio is greater than or equal to the preset appearance interference risk ratio threshold, an interference signal is generated and sent to the management response unit. Upon receiving the interference signal, the management response unit immediately displays the preset warning text corresponding to the interference signal, which is "Replace". This allows for timely replacement of the target temperature sensor to avoid large deviations in the detection results due to its own defects, thereby helping to improve the accuracy of the target temperature sensor performance detection results.

[0015] Example 2: When normal and qualified signals are generated, the work monitoring unit analyzes the performance from a performance perspective. This involves collecting performance data from the target temperature sensor, including response evaluation values ​​and acquisition accuracy values. The unit then performs a stability monitoring and evaluation analysis on this data to determine whether the target temperature sensor's operational stability is up to standard. The results are provided intuitively through text feedback. The specific stability monitoring and evaluation analysis process is as follows: Set the operating temperature range of the target temperature sensor, divide the operating temperature range into i sub-temperature segments, where i is a natural number greater than zero, and obtain the response evaluation value of the target temperature sensor in each sub-temperature segment within the time threshold. The response evaluation value represents the time from when the target temperature sensor receives the temperature change signal to when it outputs the result. It should be noted that the working performance of the target temperature sensor is analyzed from the perspective of working response to ensure the stable working performance of the target temperature sensor. The difference between the actual measured temperature value and the actual temperature value of the target temperature sensor within each sub-temperature segment within the time threshold is obtained, and the difference between the actual measured temperature value and the actual temperature value is set as the acquisition accuracy value. It should be noted that the acquisition accuracy value is a parameter that reflects the working stability performance of the target temperature sensor. The response evaluation value and acquisition accuracy value are compared and analyzed with the preset response evaluation value threshold and preset acquisition accuracy value threshold stored internally. If the response evaluation value is less than the preset response evaluation value threshold, then the acquisition accuracy value is less than the preset acquisition accuracy value threshold, and a valid signal is generated. If the response evaluation value is greater than or equal to the preset response evaluation value threshold, or the acquisition accuracy value is greater than or equal to the preset acquisition accuracy value threshold, then an invalid signal is generated; The number of invalid signals and the number of valid signals are obtained. The difference between the number of invalid signals and the number of valid signals is set as the repeatability stability coefficient. The repeatability stability coefficient is sent to the fusion evaluation unit, and the repeatability stability coefficient is compared and analyzed with the acquisition accuracy value and the preset repeatability stability coefficient threshold stored internally. If the repetition stability coefficient is less than or equal to the preset repetition stability coefficient threshold, a stable signal is generated; If the repeatability stability coefficient is greater than the preset repeatability stability coefficient threshold, a fluctuation signal is generated, and the stable signal and the fluctuation signal are sent to the management response unit. After receiving the stable signal and the fluctuation signal, the management response unit immediately displays the preset warning text corresponding to the stable signal and the fluctuation signal. That is, the preset warning text corresponding to the stable signal is "reliable", and the preset warning text corresponding to the fluctuation signal is "unreliable", so as to intuitively understand the working stability performance of the target temperature sensor. When normal and qualified signals are generated, the adaptability evaluation unit immediately acquires the operating adaptability data of the target temperature sensor. The operating adaptability data represents the operating deviation evaluation coefficient, and the unit performs adaptability performance evaluation and analysis on the operating adaptability data to understand the stability of the target temperature sensor's adaptability performance. The specific adaptability performance evaluation and analysis process is as follows: Set the operating voltage of m target temperature sensors, where m is a natural number greater than zero. Obtain the percentage of the total number of temperature measurements taken by the target temperature sensors under each operating voltage where the acquisition accuracy value is greater than the preset acquisition accuracy value threshold. Set the percentage of the total number of temperature measurements taken by the target temperature sensors under each operating voltage where the acquisition accuracy value is greater than the preset acquisition accuracy value threshold as the working deviation evaluation coefficient. It should be noted that the working deviation evaluation coefficient is a parameter that reflects the influence of the working stability of the target temperature sensor under different operating voltages. The working deviation evaluation coefficient is compared with the preset working deviation evaluation coefficient threshold stored in its internal database. If the working deviation evaluation coefficient is greater than or equal to the preset working deviation evaluation coefficient threshold, the number of working voltages corresponding to the working deviation evaluation coefficient being greater than or equal to the preset working deviation evaluation coefficient threshold is set as the non-adaptive value n, and the ratio of the non-adaptive value n to m is set as the adaptive performance evaluation rate. The adaptive performance evaluation rate is compared and analyzed with its internally entered and stored preset adaptive performance evaluation rate threshold: If the ratio between the adaptation performance evaluation rate and the preset adaptation performance evaluation rate threshold is less than 1, an adaptation signal is generated. If the ratio between the adaptive performance evaluation rate and the preset adaptive performance evaluation rate threshold is greater than or equal to 1, a rejection signal is generated, and the adaptive signal and rejection signal are sent to the management response unit. After receiving the adaptive signal and rejection signal, the management response unit immediately displays the preset warning text corresponding to the adaptive signal and rejection signal. That is, the preset warning text corresponding to the adaptive signal is "Dynamic Adaptation", and the preset warning text corresponding to the rejection signal is "Dynamic Risk", so as to intuitively understand the stability of the adaptive performance of the target temperature sensor. The fusion evaluation unit performs comprehensive performance evaluation and analysis through information feedback to understand the overall performance of the target temperature sensor. The specific comprehensive performance evaluation and analysis process is as follows: The repeatability stability coefficient of the target temperature sensor within the time threshold is obtained, and the adaptive performance evaluation rate of the target temperature sensor within the time threshold is also obtained. The value obtained by normalizing the repeatability stability coefficient and the adaptive performance evaluation rate and multiplying them by the corresponding preset weight coefficient is set as the comprehensive performance evaluation coefficient. After normalization: Repeatability stability coefficient × Preset weighting coefficient corresponding to repeatability stability coefficient + Adaptability performance evaluation rate × Preset weighting coefficient corresponding to adaptability performance evaluation rate = Comprehensive performance evaluation coefficient; The overall performance evaluation coefficient is compared and analyzed with its internally entered and stored preset overall performance evaluation coefficient threshold: If the ratio between the comprehensive performance evaluation coefficient and the preset comprehensive performance evaluation coefficient threshold is less than 1, a comprehensive stable signal is generated. If the ratio between the comprehensive performance evaluation coefficient and the preset comprehensive performance evaluation coefficient threshold is greater than or equal to 1, a comprehensive floating signal is generated, and the comprehensive stable signal and the comprehensive floating signal are sent to the management response unit. After receiving the comprehensive stable signal and the comprehensive floating signal, the management response unit immediately displays the preset warning text corresponding to the comprehensive stable signal and the comprehensive floating signal. That is, the preset warning text corresponding to the comprehensive stable signal is "Comprehensive performance is stable", and the preset warning text corresponding to the comprehensive floating signal is "Comprehensive performance is abnormal", so as to intuitively understand the comprehensive performance evaluation results of the target temperature sensor. Furthermore, by analyzing both stability and adaptability, the accuracy of the comprehensive performance evaluation results is ensured. In summary, this invention analyzes the detection equipment and the target temperature sensor from two perspectives to reduce the impact of interference factors on the detection results and ensure their accuracy. Specifically, it performs a time-period parameter adjustment interference risk analysis on the parameter control data to understand whether the parameter adjustments of the detection equipment are normal and accurate, thereby reducing the risk of detection errors and ensuring the effectiveness of the detection parameter control. It also conducts an appearance interference monitoring and assessment analysis on the appearance information to avoid large deviations in the detection results due to inherent defects, allowing for timely replacement of the target temperature sensor and ensuring the accuracy of the target temperature sensor performance test results. Under the premise that both the detection equipment and the target temperature sensor are normal, the invention analyzes the operational stability and adaptability performance to provide data support for subsequent comprehensive performance evaluation and improve the accuracy of the analysis results. Specifically, it performs a stability monitoring and assessment analysis on the operational performance data to understand whether the target temperature sensor's operational stability is qualified, and an adaptability performance assessment analysis on the operational adaptability data to understand the stability of the target temperature sensor's adaptability performance. Finally, it conducts a comprehensive performance evaluation analysis through information feedback and displays the comprehensive performance evaluation results of the target temperature sensor intuitively through text display.

[0016] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value, it is acceptable.

[0017] The above formulas are all derived from software simulation using a large amount of data and are selected to be close to the actual values. The coefficients in the formulas are set by those skilled in the art according to the actual situation. The above description is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any equivalent substitutions or changes made by those skilled in the art within the technical scope disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the protection scope of the present invention.

Claims

1. An automotive temperature sensor comprehensive performance detection and evaluation system, characterized in that, It includes a performance testing platform, an interference information unit, an interference detection and control unit, an appearance interference monitoring unit, a work monitoring unit, an adaptability assessment unit, a fusion assessment unit, and a management response unit; The interference information unit is used to collect parameter control data of the detection equipment and appearance information of the target temperature sensor, and send the parameter control data to the detection control interference unit for time period detection parameter control interference risk analysis to obtain normal or abnormal signals. The appearance information is sent to the appearance interference monitoring unit for appearance interference monitoring and evaluation analysis to obtain qualified or interference signals. The working monitoring unit is used to perform stability monitoring and evaluation analysis on the working performance data of the collected target temperature sensor to obtain a stable signal or a fluctuating signal; the adaptability evaluation unit is used to perform adaptive performance evaluation analysis on the working adaptability data of the collected target temperature sensor to obtain an adaptive signal or a repulsion signal; the fusion evaluation unit is used to perform comprehensive performance evaluation analysis, compare and analyze the obtained comprehensive performance evaluation coefficients to obtain a comprehensive stable signal or a comprehensive floating signal. The risk analysis process for interference control parameters of the interference detection and control unit during the time period is as follows: The detection period of the target temperature sensor is collected and set as a time threshold. The parameter control data of the detection device within the time threshold is obtained. The parameter control data includes the control deviation rate and the state evaluation value. The control deviation rate and the state evaluation value are compared and analyzed with the preset control deviation rate threshold and the preset state evaluation value threshold recorded and stored in its internal system to obtain normal or abnormal signals. The appearance interference monitoring assessment and analysis process of the appearance interference monitoring unit is as follows: S1: Obtain the appearance information of the target temperature sensor inside the detection device within the time threshold. The appearance information represents the appearance feature image. Divide the appearance feature image into k sub-region blocks, where k is a natural number greater than zero. Perform grayscale processing on the appearance feature image of each sub-region block to obtain the grayscale value corresponding to each pixel in each sub-region block. Compare and analyze the grayscale value with the grayscale value threshold. Set the pixel grid corresponding to the grayscale value greater than the preset grayscale value threshold as "1" and set the pixel grid corresponding to the grayscale value less than or equal to the preset grayscale value threshold as "0". Obtain the total number of "1" and "0" respectively. Extract and combine the total number of "1" and "0" numbers and set the string obtained by the number extraction and combination as the recognition feature string. S12: Compare and analyze the identification feature string with the preset identification feature string stored internally to obtain normal area or defect area. Set the number of defect area and the number of normal area as appearance interference risk ratio. Compare and analyze the appearance interference risk ratio with the preset appearance interference risk ratio stored internally to obtain qualified signal or interference signal. The stability monitoring and assessment analysis process of the work supervision unit is as follows: T1: Set the operating temperature range of the target temperature sensor, divide the operating temperature range into i sub-temperature segments, where i is a natural number greater than zero, and obtain the response evaluation value of the target temperature sensor in each sub-temperature segment within the time threshold. T2: Obtain the difference between the actual measured temperature value and the actual temperature value of the target temperature sensor in each sub-temperature segment within the time threshold, and set it as the acquisition accuracy value; The adaptive performance evaluation and analysis process of the adaptive evaluation unit is as follows: Set the operating voltage of m target temperature sensors, where m is a natural number greater than zero. Obtain the percentage of the total number of temperature measurements taken by the target temperature sensors under each operating voltage where the acquisition accuracy value is greater than the preset acquisition accuracy value threshold, and set this percentage as the operating deviation evaluation coefficient. The working deviation evaluation coefficient is compared with its internally entered and stored preset working deviation evaluation coefficient threshold. The number of working voltages whose working deviation evaluation coefficient is greater than or equal to the preset working deviation evaluation coefficient threshold is set as the non-adaptive value n. The non-adaptive values ​​n and m are then substituted into the formula. The adaptation performance evaluation rate is obtained, where W is the adaptation performance evaluation rate. The adaptation performance evaluation rate W is compared with the preset adaptation performance evaluation rate threshold number stored internally to obtain the adaptation signal or rejection signal.

2. The system for detecting and evaluating the comprehensive performance of an automobile temperature sensor according to claim 1, characterized in that, The response evaluation value and the acquisition accuracy value are compared and analyzed with the preset response evaluation value threshold and the preset acquisition accuracy value threshold that are internally entered and stored to obtain invalid or valid signals. The difference between the number of invalid signals and the number of valid signals is set as the repeatability stability coefficient. The repeatability stability coefficient is then compared and analyzed with the acquisition accuracy value and the preset repeatability stability coefficient threshold stored internally to obtain stable signals or fluctuating signals.

3. The system for detecting and evaluating the comprehensive performance of an automobile temperature sensor according to claim 1, characterized in that, The comprehensive performance evaluation and analysis process of the fusion evaluation unit is as follows: The repeatability stability coefficient of the target temperature sensor within a time threshold is obtained, as well as the adaptability evaluation rate W of the target temperature sensor within the same time threshold. The product of the repeatability stability coefficient and the adaptability evaluation rate W is set as the comprehensive performance evaluation coefficient. The comprehensive performance evaluation coefficient is then compared and analyzed with the preset comprehensive performance evaluation coefficient threshold stored internally. If the ratio between the comprehensive performance evaluation coefficient and the preset comprehensive performance evaluation coefficient threshold is less than 1, a comprehensive stable signal is generated; if the ratio between the comprehensive performance evaluation coefficient and the preset comprehensive performance evaluation coefficient threshold is greater than or equal to 1, a comprehensive floating signal is generated.

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