Comprehensive performance detection and evaluation system for automobile temperature sensor

Abstract

The invention relates to the technical field of sensor performance detection, in particular to an automobile temperature sensor comprehensive performance detection and evaluation system which comprises a performance detection platform, an interference information unit, a detection, regulation and control interference unit, an appearance interference supervision unit, a work supervision unit, an adaptability evaluation unit, a fusion evaluation unit and a management response unit. According to the invention, analysis is carried out from two angles of appearance of the detection equipment and the target temperature sensor to reduce the influence of interference factors on the detection result, and on the premise that the detection equipment and the target temperature sensor are normal, analysis is carried out from two points of working stability performance and adaptability performance, so that the accuracy of the detection result is improved. Therefore, data support is provided for subsequent comprehensive performance evaluation, meanwhile, the working stability performance and adaptability performance conditions of the target temperature sensor are known, comprehensive performance evaluation analysis is carried out in an information feedback mode, and the comprehensive performance evaluation result of the target temperature sensor is visually known.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of sensor performance detection, in particular to a comprehensive performance detection and evaluation system for automobile temperature sensors. BACKGROUND

[0002] The automobile temperature sensor is a device for measuring the temperature of the cooling liquid of a vehicle engine, and the working principle is based on the thermoelectric effect and the resistance temperature characteristic. The temperature sensor is usually composed of a thermistor and a circuit. The automobile temperature sensor is an essential detection element of the automobile. The detection items of the automobile temperature sensor usually include performance detection and appearance detection. The performance detection process of the automobile temperature sensor, as one of the commonly used sensors for automobile monitoring, has the following problems: the interference factors affecting the detection results cannot be supervised, so that the detection results are greatly deviated due to the influence of the interference factors in the detection process, the performance detection of the automobile temperature sensor is not accurate, and the comprehensive performance of the automobile temperature sensor cannot be fused and evaluated and fed back, so that the automobile temperature sensor cannot be managed in a targeted manner. In view of the above technical defects, a solution is provided. SUMMARY

[0003] The application aims to provide a comprehensive performance detection and evaluation system for automobile temperature sensors to solve the above technical defects. The application analyzes from two aspects of the detection equipment and the appearance of the target temperature sensor to reduce the influence of the interference factors on the detection results. Under the premise that the detection equipment and the target temperature sensor are normal, the application analyzes from two aspects of the working stability performance and the adaptability performance to provide data support for subsequent comprehensive performance evaluation, and helps to improve the accuracy of the analysis results.

[0004] The application can be realized by the following technical scheme: a comprehensive performance detection and evaluation system for automobile temperature sensors, comprising a performance detection platform, an interference information unit, a detection and control interference unit, an appearance interference supervision unit, a working supervision unit, an adaptability evaluation unit, a fusion evaluation unit and a management response unit. The interference information unit is used for collecting parameter control data of the detection equipment and appearance information of the target temperature sensor. The detection and control interference unit is used for performing period detection parameter control interference risk analysis on the collected parameter control data, comparing and analyzing the obtained control deviation rate and state evaluation value, and obtaining normal signals and abnormal signals. The appearance interference supervision unit is used for performing appearance interference supervision evaluation analysis on the collected appearance information, comparing and analyzing the obtained appearance interference risk ratio, and obtaining qualified signals and interference signals. The work supervision unit is used for stability supervision evaluation analysis on the collected work performance data, comparison analysis on the obtained repeated stability coefficients, and obtaining of stability signals and fluctuation signals. The adaptive evaluation unit is used for adaptive performance evaluation analysis on the collected work adaptive data of the target temperature sensor, and obtaining of adaptive signals and rejection signals. The fusion evaluation unit is used for comprehensive performance evaluation analysis, comparison analysis on the obtained comprehensive performance evaluation coefficients, and obtaining of comprehensive smooth signals and comprehensive floating signals.

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

[0006] Preferably, the analysis process of the regulation deviation rate is as follows: the difference between the actual value and the set value in the detection parameter information of the single regulation of the detection equipment within the time threshold value is greater than the preset threshold value, and then the regulation is set as an error regulation times, and then the proportion of the error regulation times in the total number of regulations of the detection equipment is set as the regulation deviation rate, and the detection parameter information includes temperature, current; the state evaluation value represents the length of time when the actual state value corresponding to the working state parameter of the detection equipment within the time threshold value is greater than or equal to the preset state value.

[0007] Preferably, the appearance interference supervision evaluation analysis process of the appearance interference supervision unit is as follows: S1: Obtain the appearance information of the target temperature sensor inside the detection equipment within the time threshold value, and the appearance information represents an appearance feature image, divide the appearance feature image into k sub-regional blocks, k is a natural number greater than zero, perform gray scale processing on the appearance feature image of each sub-regional block, then obtain the gray scale value corresponding to each pixel point of each sub-regional block, and compare and analyze the gray scale value with the gray scale value threshold value, set the pixel grid corresponding to the gray scale value greater than the preset gray scale value threshold value as "1", and set the pixel grid corresponding to the gray scale value less than or equal to the preset gray scale value threshold value as "0", respectively obtain the total number of "1" and "0", and digitally extract and combine the total number of "1" and "0", and set the string obtained by the digital extraction combination as a recognition feature string; S12: One-to-one comparison analysis is performed on the recognition feature string and the preset recognition feature string recorded and stored in the internal, and a normal region and a defect region are obtained. The number corresponding to the defect area and the number corresponding to the normal area are set as the appearance interference risk ratio, and the appearance interference risk ratio is compared and analyzed with the preset appearance interference risk ratio stored in the internal recording to obtain a qualified signal or an interference signal.

[0008] Preferably, the stability supervision evaluation analysis process of the working supervision unit is as follows: T1: setting the working temperature range of the target temperature sensor, dividing the working temperature range into i sub-temperature segments, i being a natural number greater than zero, obtaining the response evaluation value of the target temperature sensor in each sub-temperature segment within the time threshold, the response evaluation value indicating the time from when the target temperature sensor receives a temperature change signal to when the output result is obtained; T2: obtaining the difference between the actual measurement temperature value and the actual temperature value of the target temperature sensor in each sub-temperature segment within the time threshold, and setting the difference between the actual measurement temperature value and the actual temperature value as the collection accuracy value; T3: comparing and analyzing the response evaluation value and the collection accuracy value with the preset response evaluation value threshold and the preset collection accuracy value threshold stored in the internal recording to obtain an effective signal or an ineffective signal; T4: obtaining the number corresponding to the ineffective signal and the number corresponding to the effective signal, setting the difference between the number corresponding to the ineffective signal and the number corresponding to the effective signal as the repeated stability coefficient, and comparing and analyzing the repeated stability coefficient with the collection accuracy value with the preset repeated stability coefficient threshold stored in the internal recording to obtain a stable signal or a fluctuation signal.

[0009] Preferably, the adaptive performance evaluation analysis process of the adaptive evaluation unit is as follows: Setting the working voltage of m target temperature sensors, m being a natural number greater than zero, obtaining the proportion of the number of times that the collection accuracy value is greater than the preset collection accuracy value threshold in the total number of measurement temperatures of the target temperature sensor at each working voltage, and setting the proportion of the number of times that the collection accuracy value is greater than the preset collection accuracy value threshold in the total number of measurement temperatures of the target temperature sensor at each working voltage as the working deviation evaluation coefficient; Comparing and analyzing the working deviation evaluation coefficient with the preset working deviation evaluation coefficient threshold stored in the internal recording, if the working deviation evaluation coefficient is greater than or equal to the preset working deviation evaluation coefficient threshold, then setting the number of working voltages corresponding to the working deviation evaluation coefficient greater than or equal to the preset working deviation evaluation coefficient threshold as the non-adaptive value n, and setting the ratio of the non-adaptive value n to m as the adaptive performance evaluation rate; Comparing and analyzing the adaptive performance evaluation rate with the preset adaptive performance evaluation rate threshold stored in the internal recording to obtain an adaptive signal or a rejection signal.

[0010] Preferably, the comprehensive performance evaluation and analysis process of the fusion evaluation unit is as follows: Obtaining a repetitive stability coefficient of the target temperature sensor within a time threshold, and simultaneously obtaining an adaptability performance evaluation rate of the target temperature sensor within the time threshold, normalizing the repetitive stability coefficient and the adaptability performance evaluation rate, and multiplying the result by the corresponding preset weight coefficient to set the result as the comprehensive performance evaluation coefficient; The comprehensive performance evaluation coefficient is compared and analyzed with the preset comprehensive performance evaluation coefficient threshold value recorded and stored internally to obtain a comprehensive stable signal or a comprehensive floating signal.

[0011] The beneficial effects of the present invention are as follows: (1) The present invention reduces the influence of interference factors on the test results by analyzing from two perspectives: the test equipment and the appearance of the target temperature sensor, so as to ensure the accuracy of the test results. That is, the parameter control data is subjected to a time period detection parameter control interference risk analysis to understand whether the parameter adjustment of the test equipment is normal and accurate, so as to reduce the risk of detection error of the test equipment, so as to ensure the effectiveness of the detection parameter adjustment of the test equipment. The appearance information is subjected to an appearance interference supervision assessment analysis to avoid large deviations in the test results caused by its own defects, so as to replace the target temperature sensor in a timely manner, so as to ensure the accuracy of the target temperature sensor performance test 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 points of view 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 subjected to stability supervision evaluation analysis to understand whether the working stability performance of the target temperature sensor is qualified, and the working adaptability data is subjected to adaptability performance evaluation analysis to understand the adaptability performance stability of the target temperature sensor. The comprehensive performance evaluation analysis is carried out by means of information feedback, and the comprehensive performance evaluation results of the target temperature sensor are intuitively understood by means of text display. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The present invention will be further described below with reference to the accompanying drawings; Fig. 1 It is a flow chart of the system of the present invention; Fig. 2 This is a local analysis diagram of Example 1 of the present invention. DETAILED DESCRIPTION

[0013] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be clearly and completely described below, obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work belong to the scope of protection of the present application.

[0014] Embodiment one: Please refer to Figs. 1-2 As shown in the figure, the present application is a kind of automobile temperature sensor comprehensive performance detection and evaluation system, including performance detection platform, interference information unit, detection and control interference unit, appearance interference supervision unit, work supervision unit, adaptability evaluation unit, fusion evaluation unit and management response unit, the performance detection platform and the interference information unit are unidirectional communication connection, the interference information unit and the detection and control interference unit and the appearance interference supervision unit are unidirectional communication connection, the detection and control interference unit and the work supervision unit, adaptability evaluation unit and management response unit are unidirectional communication connection, the appearance interference supervision unit and the work supervision unit, adaptability evaluation unit and management response unit are unidirectional communication connection, the work supervision unit and adaptability evaluation unit are unidirectional communication connection with fusion evaluation unit and management response unit, fusion evaluation unit and management response unit are unidirectional communication connection; When the performance detection platform generates supervision instruction, the supervision instruction is sent to the interference information unit, the interference information unit receives the supervision instruction immediately, and the parameter control data of the detection equipment and the appearance information of the target temperature sensor are collected, and the parameter control data and the appearance information are sent to the detection and control interference unit and the appearance interference supervision unit respectively, the detection and control interference unit receives the parameter control data immediately, and the parameter control data is analyzed 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, to ensure the effectiveness of the detection parameter control of the detection equipment, the specific period detection parameter control interference risk analysis process is as follows: The automobile temperature sensor inside the detection equipment is obtained, and it is set as the target temperature sensor, the detection period of the target temperature sensor is collected, and it is set as the time threshold, the parameter control data of the detection equipment within the time threshold is obtained, the parameter control data includes control deviation rate and state evaluation value; In the embodiment of the present application, the analysis process of the regulation deviation rate is as follows: if the difference between the actual value and the set value of the detection parameter information in the single regulation of the detection equipment within the time threshold is greater than the preset threshold, the regulation is set as the error regulation times, and then the proportion of the error regulation times in the total regulation times of the detection equipment is set as the regulation deviation rate. The detection parameter information includes temperature, current, etc. It should be noted that the regulation deviation rate is an influencing parameter reflecting the regulation accuracy of the detection parameter information of the detection equipment, that is, the parameter regulation of the detection equipment is analyzed from the perspective of historical regulation accuracy to ensure the effectiveness of the parameter regulation of the detection equipment, thereby reducing the performance evaluation deviation risk of the automobile temperature sensor. In the embodiment of the present application, the state evaluation value represents the time length during which the actual state value corresponding to the working state parameter of the detection equipment 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 running state of the detection equipment to ensure the detection stability and safety of the detection equipment, so as to ensure the smooth progress of the entire detection process. The regulation deviation rate and the state evaluation value are compared and analyzed with the preset regulation deviation rate threshold and the preset state evaluation value threshold recorded in the internal storage: If the regulation deviation rate is less than the preset regulation deviation rate threshold, and the state evaluation value is less than the preset state evaluation value threshold, a normal signal is generated, and the normal signal is sent to the working supervision unit and the adaptive evaluation unit. If the regulation deviation rate is greater than or equal to the preset regulation deviation rate threshold, or the state evaluation value is greater than or equal to the preset state evaluation value threshold, an abnormal signal is generated, and the abnormal signal is sent to the management response unit. After receiving the abnormal signal, the management response unit immediately displays the preset warning text corresponding to the abnormal signal, that is, the preset warning text corresponding to the abnormal signal is "state risk". In order to manage the detection equipment according to the information feedback, the effectiveness of the detection parameter regulation of the detection equipment is ensured, thereby reducing the detection error risk of the detection equipment. After receiving the appearance information, the appearance interference supervision unit immediately performs appearance interference supervision evaluation analysis on the appearance information to avoid large detection result deviation caused by its own defects, so as to timely replace the target temperature sensor to ensure the accuracy of the performance detection result of the target temperature sensor. The specific appearance interference supervision evaluation analysis process is as follows: The appearance information of the target temperature sensor inside the detection device within the time threshold is obtained, the appearance information represents the appearance feature image, the appearance feature image is divided into k sub-region blocks, k is a natural number greater than zero, the appearance feature image of each sub-region block is subjected to grayscale processing, and then the grayscale values corresponding to each pixel point of each sub-region block are obtained, and the grayscale values are compared and analyzed with the preset grayscale value threshold, the pixel grid corresponding to the grayscale value greater than the preset grayscale value threshold is set to "1", and the pixel grid corresponding to the grayscale value less than or equal to the preset grayscale value threshold is set to "0". The total number of "1" and "0" is obtained, and the total number of "1" and "0" is digitally extracted and combined, and the string obtained by the digital extraction combination is set as the recognition feature string. It should be noted that the recognition feature string is an influence parameter reflecting whether the sub-region image is normal. The recognition feature string is compared and analyzed with the preset recognition feature string stored in the internal entry: If the recognition feature string and the preset recognition feature string correspond one by one, the corresponding sub-region is set as a normal region; If the recognition feature string and the preset recognition feature string do not correspond one by one, the corresponding sub-region is set as a defect region, and the number corresponding to the defect region and the number corresponding to the normal region 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 in the internal entry: If the appearance interference risk ratio is less than the preset appearance interference risk ratio threshold, a qualified signal is generated, and the qualified signal is sent to the work supervision unit and the adaptive 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 the interference signal is sent to the management response unit. After receiving the interference signal, the management response unit immediately displays the preset warning text corresponding to the interference signal, i.e. the preset warning text corresponding to the interference signal is "replacement", so as to timely replace the target temperature sensor to avoid large detection result deviation caused by its own defects, thereby helping to improve the accuracy of the performance detection result of the target temperature sensor.

[0015] Embodiment two: When the normal signal and the qualified signal are generated, the work supervision unit analyzes from the work performance angle, i.e. collects the work performance data of the target temperature sensor, the work performance data includes the response evaluation value and the collection accuracy value, and performs stability supervision evaluation analysis on the work performance data to understand whether the work stability performance of the target temperature sensor is qualified, and intuitively understands the detection result through the text feedback mode. The specific stability supervision evaluation analysis process is as follows: The working temperature range of the target temperature sensor is set, the working temperature range is divided into i sub-temperature segments, i is a natural number greater than zero, the response evaluation value of the target temperature sensor in each sub-temperature segment within the time threshold is obtained, and the response evaluation value represents the output result time of the target temperature sensor receiving a temperature change signal. It should be noted that the working performance of the target temperature sensor is analyzed from the working response angle to ensure the working stability performance of the target temperature sensor; The difference between the actual measurement temperature value and the actual temperature value of the target temperature sensor in each sub-temperature segment within the time threshold is obtained, and the difference between the actual measurement temperature value and the actual temperature value is set as the collection accuracy value. It should be noted that the collection accuracy value is an influence parameter reflecting the working stability performance of the target temperature sensor; The response evaluation value and the collection accuracy value are compared and analyzed with the preset response evaluation value threshold and the preset collection accuracy value threshold recorded and stored in them: If the response evaluation value is less than the preset response evaluation value threshold, and the collection accuracy value is less than the preset collection accuracy value threshold, an effective signal is generated; If the response evaluation value is greater than or equal to the preset response evaluation value threshold, or the collection accuracy value is greater than or equal to the preset collection accuracy value threshold, an invalid signal is generated; The number corresponding to the invalid signal and the number corresponding to the effective signal are obtained, the difference between the number corresponding to the invalid signal and the number corresponding to the effective signal is set as the repeated stability coefficient, the repeated stability coefficient is sent to the fusion evaluation unit, and the repeated stability coefficient is compared and analyzed with the collection accuracy value and the preset repeated stability coefficient threshold recorded and stored in them: If the repeated stability coefficient is less than or equal to the preset repeated stability coefficient threshold, a stable signal is generated; If the repeated stability coefficient is greater than the preset repeated 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 words corresponding to the stable signal and the fluctuation signal, i.e. the preset warning words corresponding to the stable signal are "reliability", and the preset warning words corresponding to the fluctuation signal are "unreliability", so that the working stability performance of the target temperature sensor can be intuitively understood; When the normal signal and the qualified signal are generated, the adaptive evaluation unit immediately collects the working adaptive data of the target temperature sensor, the working adaptive data represents the working deviation evaluation coefficient, and the adaptive performance evaluation analysis is performed on the working adaptive data to understand the adaptive performance stability of the target temperature sensor. The specific adaptive performance evaluation analysis process is as follows: Set the working voltage of the m target temperature sensors, m is a natural number greater than zero, obtain the proportion of the number of times that the collection accuracy value is greater than the preset collection accuracy value threshold in the total number of measurement temperatures of the target temperature sensor under each working voltage, and set the proportion of the number of times that the collection accuracy value is greater than the preset collection accuracy value threshold in the total number of measurement temperatures of the target temperature sensor under each working voltage as the working deviation evaluation coefficient. It should be noted that the working deviation evaluation coefficient is an influence parameter reflecting the working stability of the target temperature sensor under different working voltages. The working deviation evaluation coefficient is compared with the preset working deviation evaluation coefficient threshold stored in it, and 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 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 and m is set as the adaptive performance evaluation rate. The adaptive performance evaluation rate is compared with the preset adaptive performance evaluation rate threshold stored in it: If the ratio of the adaptive performance evaluation rate and the preset adaptive performance evaluation rate threshold is less than 1, an adaptive signal is generated; If the ratio of 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 the rejection signal are sent to the management response unit. After receiving the adaptive signal and the rejection signal, the management response unit immediately displays the preset warning text corresponding to the adaptive signal and the rejection signal, i.e. 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 that the adaptive performance stability of the target temperature sensor can be intuitively understood; The fusion evaluation unit performs comprehensive performance evaluation analysis through information feedback to understand the comprehensive performance of the target temperature sensor. The specific comprehensive performance evaluation analysis process is as follows: The repeated 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 obtained. After normalization processing of the repeated stability coefficient and the adaptive performance evaluation rate, the value obtained by multiplying the corresponding preset weight coefficient is set as the comprehensive performance evaluation coefficient; That is, after normalization processing: repeated stability coefficient x repeated stability coefficient corresponding preset weight coefficient + adaptive performance evaluation rate x adaptive performance evaluation rate corresponding preset weight coefficient = comprehensive performance evaluation coefficient; The comprehensive performance evaluation coefficient is compared with the preset comprehensive performance evaluation coefficient threshold stored in it: If the ratio of the comprehensive performance evaluation coefficient and the preset comprehensive performance evaluation coefficient threshold is less than 1, a comprehensive smooth 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 that the comprehensive performance evaluation result of the target temperature sensor can be intuitively understood, and the stability and adaptability of the target temperature sensor are analyzed to ensure the accuracy of the comprehensive performance evaluation result. In summary, the present application analyzes from two angles of the detection equipment and the appearance of the target temperature sensor to reduce the influence of interference factors on the detection result, so as to ensure the accuracy of the detection result, that is, the parameter adjustment data is subjected to periodical detection parameter adjustment interference risk analysis 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 the parameter adjustment of the detection equipment. The appearance information is subjected to appearance interference supervision evaluation analysis to avoid large deviation of the detection result caused by defects of the target temperature sensor, so as to replace the target temperature sensor in time to ensure the accuracy of the performance detection result of the target temperature sensor. Under the premise that the detection equipment and the target temperature sensor are normal, the working stability and adaptability are analyzed to provide data support for subsequent comprehensive performance evaluation, which helps to improve the accuracy of the analysis result, that is, the working performance data is subjected to stability supervision evaluation analysis to understand whether the working stability of the target temperature sensor is qualified, and the working adaptability data is subjected to adaptability performance evaluation analysis to understand the adaptability stability of the target temperature sensor. The comprehensive performance evaluation analysis is performed by information feedback, and the comprehensive performance evaluation result of the target temperature sensor is intuitively understood by text display.

[0016] The size of the threshold is set for comparison. The size of the threshold depends on the number of sample data and the base number set by the person skilled in the art for each group of sample data. As long as the proportional relationship between the parameter and the quantized value is not affected.

[0017] The above formulas are obtained by collecting a large amount of data and selecting a formula close to the true value. The coefficients in the formula are set by the person skilled in the art according to the actual situation. The above is only a preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can make equivalent substitutions or changes within the technical range disclosed in the present application according to the technical solution and inventive concept of the present application, which should be covered within the protection scope of the present application.

Claims

1. A comprehensive performance detection and evaluation system for automobile temperature sensors, characterized in that: It includes performance detection platform, interference information unit, interference detection and control unit, appearance interference supervision unit, work supervision unit, adaptability evaluation unit, fusion evaluation unit and 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, compare and analyze the obtained control deviation rate and state evaluation value, and obtain normal signals and abnormal signals; The appearance interference supervision unit is used to perform appearance interference supervision evaluation analysis on the collected appearance information, compare and analyze the obtained appearance interference risk ratio, and obtain qualified signals and interference signals; The work supervision unit is used to perform stability supervision evaluation analysis on the collected work performance data, compare and analyze the obtained repeated stability coefficients, and obtain stable signals and fluctuation signals; The adaptability evaluation unit is used to perform adaptability performance evaluation and analysis on the work adaptability data collected from the target temperature sensor to obtain an adaptability signal and a rejection signal; The fusion evaluation unit is used to perform comprehensive performance evaluation analysis, compare and analyze the obtained comprehensive performance evaluation coefficients, and obtain a comprehensive stable signal and a comprehensive floating signal.

2. The comprehensive performance detection and evaluation system for automobile temperature sensors according to claim 1, characterized in that: The process of analyzing the interference risk of the detection and control interference unit during the detection and control period is as follows: The detection period of the target temperature sensor is collected and set as the time threshold, and 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 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 entered and stored internally to obtain a normal signal or a normal signal.

3. The comprehensive performance detection and evaluation system for automobile temperature sensors according to claim 2, characterized in that: The analysis process of the control deviation rate is as follows: if the difference between the actual control value and the set value in the detection parameter information of a single control of the detection device within the time threshold is greater than the preset threshold, then this control is set as the error control number, and then the proportion of the error control number in the total number of detection device controls is set as the control deviation rate. The detection parameter information includes temperature and current; The state evaluation value indicates the duration during which the actual state value corresponding to the working state parameter of the detection device is greater than or equal to the preset state value within the time threshold.

4. The comprehensive performance detection and evaluation system for automobile temperature sensors according to claim 1, characterized in that: The appearance interference supervision evaluation and analysis process of the appearance interference supervision unit is as follows: S1: Acquire appearance information of the target temperature sensor inside the detection device within a time threshold, the appearance information representing an 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, and then obtain the grayscale value corresponding to each pixel point of each sub-region block, and 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", perform digital extraction and combination on the total number of "1" and "0", and set the character string obtained by the digital extraction and combination as the recognition feature character string; S12: performing a one-to-one comparison analysis on the identification feature string and the preset identification feature string stored internally to obtain a normal area and a defective area; The number corresponding to the defective area and the number corresponding to the normal area are set as the appearance interference risk ratio, and the appearance interference risk ratio is compared and analyzed with the preset appearance interference risk ratio recorded and stored internally to obtain a qualified signal or an interference signal.

5. The comprehensive performance detection and evaluation system for automobile temperature sensors according to claim 1, characterized in that: The stability supervision assessment and 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 the internal storage 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 coefficient, and compare and analyze the repeatability coefficient with the acquisition accuracy value and the preset repeatability coefficient threshold value recorded and stored internally to obtain a stable signal or a fluctuating signal.

6. The comprehensive performance detection and evaluation system for automobile temperature sensors according to claim 1, characterized in that: The adaptability performance evaluation and analysis process of the adaptability 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 ratio of the number of times the target temperature sensor measures the temperature at each operating voltage and the number of times the acquisition accuracy value is greater than a preset acquisition accuracy value threshold, and set the ratio of the number of times the target temperature sensor measures the temperature at each operating voltage and the number of times the acquisition accuracy value is greater than the preset acquisition accuracy value threshold as the operating deviation evaluation coefficient; Compare and analyze the working deviation evaluation coefficient with the preset working deviation evaluation coefficient threshold value stored in the internal data entry; if the working deviation evaluation coefficient is greater than or equal to the preset working deviation evaluation coefficient threshold value, set 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 value as the non-adaptive value n, and set the ratio of the non-adaptive value n to m as the adaptive performance evaluation rate; The adaptation performance evaluation rate is compared with the preset adaptation performance evaluation rate threshold value recorded and stored internally to obtain an adaptation signal or a rejection signal.

7. The comprehensive performance detection and evaluation system for automobile temperature sensors according to claim 1, characterized in that: The comprehensive performance evaluation and analysis process of the fusion evaluation unit is as follows: Obtaining a repetitive stability coefficient of the target temperature sensor within a time threshold, and simultaneously obtaining an adaptability performance evaluation rate of the target temperature sensor within the time threshold, normalizing the repetitive stability coefficient and the adaptability performance evaluation rate, and multiplying the result by the corresponding preset weight coefficient to set the result as the comprehensive performance evaluation coefficient; That is, after normalization processing: repeated stability coefficient × repeated stability coefficient corresponding to the preset weight coefficient + adaptive performance evaluation rate × adaptive performance evaluation rate corresponding to the preset weight coefficient = comprehensive performance evaluation coefficient; The comprehensive performance evaluation coefficient is compared and analyzed with the preset comprehensive performance evaluation coefficient threshold value recorded and stored internally to obtain a comprehensive stable signal or a comprehensive floating signal.

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