Automobile sensor temperature control detection system based on Internet of Things technology

Abstract

The invention discloses an automobile sensor temperature control detection system based on the Internet of Things technology, relates to the technical field of automobile sensor temperature control detection, and solves the technical problems that in the prior art, temperature control detection cannot be analyzed, and sensor detection deviation caused by low efficiency of temperature control cannot be avoided. Different types of sensors are subjected to temperature control detection analysis, the operation efficiency of the sensor at the detection position in the current automobile temperature control area is deduced through environment temperature analysis, and sensor detection deviation caused by low efficiency of temperature control is avoided, so that the automobile operation detection efficiency can be improved, and the detection operation stability of the sensor at each part can be ensured; and the automobile operation detection stability is further enhanced.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of temperature control detection of automobile sensors, and particularly relates to an automobile sensor temperature control detection system based on Internet of Things technology. BACKGROUND

[0002] An automobile sensor is an important component of an automobile electronic control system and is used for monitoring and transmitting various information in the running process of a vehicle. Temperature control detection of the automobile sensor is an important link for ensuring normal running and performance optimization of the automobile. In the automobile, some sensors are sensitive to temperature, and the working performance of the sensors can be affected by temperature changes. Therefore, temperature control detection is crucial.

[0003] A patent with the announcement number CN113022308A discloses an electric vehicle thermal runaway early warning system, a control method and an electric vehicle. An optical fiber is arranged close to the outer surface of a battery module or a battery cell or at least partially contacts the outer surface of the battery module or the battery cell. An input end of the optical fiber is connected with a light source emitter, and an output end of the optical fiber is connected with a light source receiver. The temperature of the battery cell is accurately monitored, and early warning is performed before the electric vehicle thermal runaway spreads, so as to protect personal and property safety. However, in the prior art, the automobile sensor cannot evaluate and analyze different detection tasks of each part, cannot infer the importance of the current sensor, and cannot improve the temperature control detection accuracy combined with the temperature influence degree analysis. In addition, the temperature control detection cannot be analyzed, and the sensor detection deviation caused by low-efficiency temperature control cannot be avoided.

[0004] In view of the above technical defects, a solution is provided. SUMMARY

[0005] The application aims to solve the above problems and provides an automobile sensor temperature control detection system based on Internet of Things technology.

[0006] The application can be realized by the following technical scheme: the automobile sensor temperature control detection system based on Internet of Things technology comprises a temperature control detection platform, wherein the temperature control detection platform is communicatively connected with: a position evaluation and analysis unit, which is used for marking an automobile part subjected to temperature control detection as a temperature control area, acquiring sensors distributed and arranged in the temperature control area, marking positions of the sensors as detection positions, acquiring position evaluation and analysis information, inputting the position evaluation and analysis information into a formula to acquire an evaluation and analysis coefficient of the sensors at the detection positions in the temperature control area of the automobile, and dividing the sensors into important high-impact ends and non-important low-impact ends according to the evaluation and analysis coefficient comparison. The temperature control detection analysis unit is used for collecting temperature rise parameters and temperature control parameters, dividing the current temperature control area operation temperature environment into a high-intensity temperature environment and a low-intensity temperature environment according to parameter comparison, collecting high-impact information and non-low-impact information according to different types of operation temperature environments, generating different types of signals according to information analysis, and sending the signals to a temperature control detection platform. The temperature influence analysis unit is used for temperature influence analysis on the temperature control area temperature control detection process.

[0007] As a preferred embodiment of the present application, the position evaluation analysis information includes the maximum value deviation of the detection parameters of the detection position in the temperature control area under different operation duration in the automobile operation process, the floating amount of the value deviation of the detection parameters of the same detection position in the temperature control area under different environment temperatures, and the overlap length of the cumulative period of any detection parameter of the detection position in the temperature control area not being in the set parameter threshold and the automobile operation and maintenance period. If the evaluation analysis coefficient of the corresponding sensor of the detection position in the automobile temperature control area exceeds the evaluation analysis coefficient threshold, the corresponding sensor is marked as an important high-impact end; if the evaluation analysis coefficient of the corresponding sensor of the detection position in the automobile temperature control area does not exceed the evaluation analysis coefficient threshold, the corresponding sensor is marked as a non-important low-impact end.

[0008] As a preferred embodiment of the present application, the collected temperature rise parameters and temperature control parameters are respectively the peak value continuous increase span value of the real-time controlled temperature value of the temperature control area in the automobile operation process, and the deviation floating frequency of the actual time consumption and the set time consumption of the real-time controlled temperature value controlled to the set temperature range in the peak value continuous increase process.

[0009] As a preferred embodiment of the present application, if the temperature rise parameter exceeds the peak value continuous increase span value threshold, or the temperature control parameter exceeds the time consumption deviation floating frequency threshold, the operation temperature environment of the current temperature control area is set as a high-intensity temperature environment; if the temperature rise parameter does not exceed the peak value continuous increase span value threshold, and the temperature control parameter does not exceed the time consumption deviation floating frequency threshold, the operation temperature environment of the current temperature control area is set as a low-intensity temperature environment.

[0010] As a preferred embodiment of the present application, the high-impact information and the non-low-impact information are respectively the adjacent floating interval length shortening frequency of the detection parameters of the important high-impact end in the temperature control area in the current automobile operation process, and the maximum span peak value of the corresponding value floating of the adjacent detection time of the detection parameters of the non-important low-impact end in the temperature control area.

[0011] As a preferred embodiment of the present application, if the heavy high impact information exceeds the shortening frequency threshold value, or the non-low impact information exceeds the floating maximum span peak threshold value, it is judged that the current temperature control detection analysis is abnormal, if the current temperature environment is a high intensity temperature environment, an environment alarm signal is generated, if the current temperature environment is a low intensity temperature environment, a device alarm signal is generated. If the heavy high impact information does not exceed the shortening frequency threshold value, and the non-low impact information does not exceed the floating maximum span peak threshold value, it is judged that the current temperature control detection analysis is normal, if the current temperature environment is a high intensity temperature environment, a safety signal is generated, if the current temperature environment is a low intensity temperature environment, a warning signal is generated.

[0012] As a preferred embodiment of the present application, the temperature impact analysis process is as follows: The temperature control detection period of the temperature control area is analyzed, the temperature control detection period is taken as the rear period and a period with the same length as the temperature control detection period is collected, and is marked as the front period respectively, and the temperature control area impact analysis period is constructed by the two periods, and the detection parameter value of any detection position of the temperature control area is taken as the impact analysis reference parameter.

[0013] As a preferred embodiment of the present application, the impact analysis reference parameter floating trend of the same detection position corresponding to the front period and the rear period is obtained, and the two floating trends are compared, if the impact analysis reference parameter floating trend of the front period and the impact analysis reference parameter floating trend of the rear period are connected trends, a temperature impact normal signal is generated, and the temperature control detection platform continues to execute the current temperature control detection; If the impact analysis reference parameter floating trend of the front period and the impact analysis reference parameter floating trend of the rear period are non-connected trends, the temperature impact of the front period of the current temperature control area is abnormal, the temperature control detection platform suspends the temperature control detection of the current temperature control area, controls the current automobile operation and detects and regulates the real-time temperature environment of the temperature control area.

[0014] As a preferred embodiment of the present application, the two cases of connected trend are as follows: the two trends are in the same trend, and the growth trend or the decrease trend corresponds to the floating span in the same range; the two trends are in the same trend floating period, and the floating peak and valley values of the two trends are in the set range in the reciprocating floating period, and the floating span is also in the same range.

[0015] Compared with the prior art, the present application has the following advantages: 1、In the present application, different parts of the automobile sensor are evaluated and analyzed, the importance of each part of the sensor to the automobile detection is inferred according to the sensor evaluation of each part of the automobile, and the different influences of temperature on each sensor are inferred according to the running evaluation and analysis, so that the temperature control detection can be accurately performed.

[0016] 2、The application carries out temperature control detection analysis on different types of sensors, infers the running efficiency of the sensor at the detection position in the current automobile temperature control area through environmental temperature analysis, avoids the deviation of sensor detection caused by low temperature control efficiency, and thus can improve the automobile operation detection efficiency and ensure the detection operation stability of each part sensor, further enhancing the stability of automobile operation detection.

[0017] 3、The application carries out temperature control detection process temperature influence analysis, infers whether there is temperature influence on the sensor in the current temperature control detection stage, avoids affecting the real-time detection efficiency of the sensor during the current cumulative operation period detection, causes the inaccuracy of temperature control area detection, and simultaneously the temperature influence analysis can detect the running efficiency of the sensor in real time, real-time monitor the influence of temperature on the sensor, and is beneficial to the running detection efficiency of the sensor. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to facilitate those skilled in the art to understand, the application will be further described below in conjunction with the drawings.

[0019] Figure 1 The principle diagram of the first embodiment of the application; Figure 2 The principle diagram of the second embodiment of the application. DETAILED DESCRIPTION

[0020] In order to make the person in the art better understand the application scheme, the technical scheme in the embodiment of the application will be described clearly and completely below in conjunction with the drawings in the embodiment of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor belong to the protection scope of the application.

[0021] In this paper, "embodiment" means that the specific features, structures or characteristics described in conjunction with the embodiment can be included in at least one embodiment of the application. The phrase appears at various places in the specification does not necessarily refer to the same embodiment, nor is it independent or alternative to other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0022] Embodiment one: this embodiment carries out temperature control detection on automobile sensor according to the data acquisition basis of Internet of Things, in order to ensure the running efficiency of automobile sensor, please refer to Figure 1As shown, the automobile sensor temperature control detection system based on Internet of Things technology comprises a temperature control detection platform, wherein the temperature control detection platform is communicatively connected with a sub-position evaluation analysis unit, a temperature control detection analysis unit and a temperature influence analysis unit; The temperature control detection platform generates a sub-position evaluation analysis signal and sends the sub-position evaluation analysis signal to the sub-position evaluation analysis unit. After receiving the sub-position evaluation analysis signal, the sub-position evaluation analysis unit evaluates and analyzes the automobile sensors at different positions, infers the importance of the sensors at each position to the automobile detection according to the sensor evaluation set for each position of the automobile, and can also infer the different influences of temperature on each sensor according to the operation evaluation analysis, so as to accurately perform temperature control detection; The automobile position to be subjected to temperature control detection is marked as a temperature control area, the sensors distributed and arranged in the temperature control area are acquired, and the positions of each sensor are marked as detection positions. The maximum numerical deviation value of the same detection parameter at the detection position in the temperature control area under different running durations of the automobile during operation is acquired, the floating amount of the numerical deviation of the same detection parameter at the detection position corresponding to the detection parameter under different environmental temperatures in the temperature control area is acquired, and the maximum numerical deviation value of the same detection parameter at the detection position in the temperature control area under different running durations of the automobile during operation and the floating amount of the numerical deviation of the same detection parameter at the detection position corresponding to the detection parameter under different environmental temperatures in the temperature control area are respectively marked as SPC and PCF; The overlapping duration of the cumulative period in which any detection parameter at the detection position in the temperature control area is not within the set parameter threshold and the automobile operation and maintenance period during the operation of the automobile is acquired, and the overlapping duration of the cumulative period in which any detection parameter at the detection position in the temperature control area is not within the set parameter threshold and the automobile operation and maintenance period during the operation of the automobile is marked as CDS; The above collected parameters are uniformly marked as sub-position evaluation analysis information, and the evaluation analysis coefficient XS of the sensor at the detection position in the automobile temperature control area is obtained by substituting the parameters into a formula, and the formula is: wherein bhg1, bhg2 and bhg3 are respectively the preset proportion coefficients of the maximum numerical deviation value of the same detection parameter at the detection position, the floating amount of the numerical deviation of the same detection parameter at the detection position, and the overlapping duration of the cumulative period, which are used for de-dimensioning processing of the collected parameters; The evaluation analysis coefficient XS of the sensor at the detection position in the automobile temperature control area is compared with the evaluation analysis coefficient threshold value: If the evaluation analysis coefficient XS of the sensor at the detection position in the automobile temperature control area exceeds the evaluation analysis coefficient threshold value, it is determined that the sensor at the corresponding detection position in the automobile temperature control area is abnormally evaluated and analyzed, and the corresponding sensor is marked as an important high-impact end; If the evaluation and analysis coefficient XS of the sensor corresponding to the detection position in the vehicle temperature control area does not exceed the evaluation and analysis coefficient threshold, it is determined that the evaluation and analysis of the sensor at the corresponding detection position in the vehicle temperature control area is normal, and the corresponding sensor is marked as a non-important low-impact end; After each detection position is divided into two types, the corresponding type is sent to the temperature control detection platform, and a temperature control detection analysis signal is generated and sent to the temperature control detection analysis unit. After receiving the temperature control detection analysis signal, the temperature control detection analysis unit performs temperature control detection and analysis on different types of sensors, and infers the operating efficiency of the sensors at the detection positions in the current vehicle temperature control area through ambient temperature analysis, thereby avoiding sensor detection deviations caused by inefficient temperature control. This can help improve the efficiency of vehicle operation detection, ensure the detection and operation stability of sensors in various parts, and further enhance the stability of vehicle operation detection. The temperature value exceeding the set temperature range threshold in the temperature control area is obtained, and the corresponding temperature is marked as the temperature value to be controlled. The peak value of the real-time temperature value to be controlled in the temperature control area during vehicle operation is collected. At the same time, the deviation floating frequency of the actual time taken to control the real-time temperature value to be controlled to be within the set temperature range during the continuous increase of the peak value and the set time consumption is obtained. The peak value of the real-time temperature value to be controlled in the temperature control area during vehicle operation and the deviation floating frequency of the actual time taken to control the real-time temperature value to be controlled to be within the set temperature range during the continuous increase of the peak value and the set time consumption are marked as temperature rise parameters and temperature control parameters, respectively, and compared with the peak value continuous increase span value threshold and the time consumption deviation floating frequency threshold, respectively: If the peak value of the real-time temperature to be controlled in the temperature control area during vehicle operation continues to increase and the span value exceeds the peak value continuous increase span value threshold, or the deviation floating frequency between the actual time taken to control the real-time temperature to be controlled to the set temperature range and the set time taken during the continuous increase of the peak value exceeds the time deviation floating frequency threshold, then the operating temperature environment of the current temperature control area is set to a high-intensity temperature environment; If the peak value of the real-time temperature value to be controlled in the temperature control area continuously increases within the set temperature range during vehicle operation, and the deviation floating frequency between the actual time taken to control the real-time temperature value to be controlled within the set temperature range and the set time taken during the continuous increase of the peak value does not exceed the time deviation floating frequency threshold, then the operating temperature environment of the current temperature control area is set to a low-intensity temperature environment; The adjacent floating interval time length shortening frequency of the detection parameter of the important high-influence end in the temperature control area in the current automobile running process is obtained, and the maximum span peak value of the corresponding numerical value floating of the adjacent detection time of the detection parameter of the unimportant low-influence end in the temperature control area is obtained, and the adjacent floating interval time length shortening frequency of the detection parameter of the important high-influence end in the temperature control area in the current automobile running process and the maximum span peak value of the corresponding numerical value floating of the adjacent detection time of the detection parameter of the unimportant low-influence end in the temperature control area are marked as high-influence information and low-influence information respectively, and are compared with the shortening frequency threshold and the maximum span peak value threshold respectively: If the adjacent floating interval time length shortening frequency of the detection parameter of the important high-influence end in the temperature control area in the current automobile running process exceeds the shortening frequency threshold, or the maximum span peak value of the corresponding numerical value floating of the adjacent detection time of the detection parameter of the unimportant low-influence end in the temperature control area exceeds the maximum span peak value threshold, it is judged that the current temperature control detection analysis is abnormal, if the current temperature environment is a high-intensity temperature environment, an environment alarm signal is generated and sent to the temperature control detection platform, after the temperature control detection platform receives the environment alarm signal, the sensor at the current detection position is controlled in the environment temperature, and if necessary, the automobile running period is regulated; if the current temperature environment is a low-intensity temperature environment, a device alarm signal is generated and sent to the temperature control detection platform, after the temperature control detection platform receives the device alarm signal, the sensor at the current detection position is detected in the device itself performance, and is put into detection use after detection qualification; If the adjacent floating interval time length shortening frequency of the detection parameter of the important high-influence end in the temperature control area in the current automobile running process does not exceed the shortening frequency threshold, and the maximum span peak value of the corresponding numerical value floating of the adjacent detection time of the detection parameter of the unimportant low-influence end in the temperature control area does not exceed the maximum span peak value threshold, it is judged that the current temperature control detection analysis is normal, if the current temperature environment is a high-intensity temperature environment, a safety signal is generated and sent to the temperature control detection platform; if the current temperature environment is a low-intensity temperature environment, a warning signal is generated and sent to the temperature control detection platform, after the temperature control detection platform receives the warning signal, the temperature environment control of the temperature control area is carried out for warning, according to the real-time temperature floating trend combined with the temperature control efficiency floating trend, the real-time analysis result is analyzed according to the real-time analysis result, and the corresponding environment control is carried out; After the temperature control detection platform completes the temperature control detection analysis control and receives the safety signal, a temperature influence analysis signal is generated and sent to a temperature influence analysis unit. After the temperature influence analysis unit receives the temperature influence analysis signal, temperature influence analysis is performed on the temperature control detection process of the temperature control area to determine whether there is temperature influence on the sensor in the current temperature control detection stage, thereby avoiding affecting the real-time detection efficiency of the sensor during the current cumulative running period detection, causing inaccurate detection of the temperature control area, and at the same time, the temperature influence analysis can detect the running efficiency of the sensor in real time and monitor the influence of temperature on the sensor in real time, which is beneficial to the running detection efficiency of the sensor; The temperature control detection period of the temperature control area is analyzed, and a period with the same length as the temperature control detection period is collected as a rear period and marked as a front period; the temperature control area influence analysis period is constructed by the two periods; and the detection parameter value of any detection position of the temperature control area is taken as the influence analysis reference parameter; The influence analysis reference parameter floating trend of the same detection position corresponding to the front period and the rear period is obtained, and the two floating trends are compared. If the influence analysis reference parameter floating trend of the front period and the influence analysis reference parameter floating trend of the rear period are connected trends, the temperature influence of the current temperature control area is normal, a temperature influence normal signal is generated and sent to the temperature control detection platform, and the temperature control detection platform continues to perform the current temperature control detection; The connected trend is that the two trends are in the same trend, and the growth trend or the decreasing trend corresponds to the floating span in the same range, which also includes that the two trends are in the same trend floating period, and the floating peak value and the valley value of the two trends are in the set range in the reciprocating floating period, and the floating span is also in the same range. Both cases belong to the connected trend; If the influence analysis reference parameter floating trend of the front period and the influence analysis reference parameter floating trend of the rear period are non-connected trends, the temperature influence of the front period of the current temperature control area is abnormal, the temperature control detection of the current temperature control area is suspended, the current automobile operation is controlled, and the real-time temperature environment of the temperature control area is detected and regulated; Embodiment two: the last embodiment performs temperature control detection on the automobile sensor, and this embodiment further improves the temperature control efficiency by predicting the temperature control detection period based on the last embodiment. Please refer to Figure 2 As shown in the figure, the temperature control detection platform is communicatively connected with a detection period prediction unit; The temperature control detection platform generates a detection cycle prediction signal and sends the detection cycle prediction signal to the detection cycle prediction unit. After receiving the detection cycle prediction signal, the detection cycle prediction unit predicts the temperature control detection cycle of the temperature control area, infers whether the current temperature control detection cycle meets the temperature control detection efficiency, avoids the temperature control detection anomaly being outside the temperature control detection cycle, causes the temperature influence fault to exist the detection time lag, cannot timely perform the temperature control detection, and reduces the temperature control execution efficiency; The time point number ratio of the detection parameter floating peak increase time point and the detection parameter non-floating time point in the current detection cycle in the temperature control area is obtained, and the time length ratio of the detection parameter collection error rate rising time length and the same error rate falling time length in the current detection cycle in the temperature control area is obtained. The time point number ratio of the detection parameter floating peak increase time point and the detection parameter non-floating time point in the current detection cycle in the temperature control area, and the time length ratio of the detection parameter collection error rate rising time length and the same error rate falling time length in the current detection cycle in the temperature control area are compared with the time point number ratio threshold range and the time length ratio threshold range respectively: If the time point number ratio of the detection parameter floating peak increase time point and the detection parameter non-floating time point in the current detection cycle in the temperature control area is not in the time point number ratio threshold range, or the time length ratio of the detection parameter collection error rate rising time length and the same error rate falling time length in the current detection cycle in the temperature control area is not in the time length ratio threshold range, it is determined that the current detection cycle is abnormal, a cycle deviation signal is generated and sent to the temperature control detection platform. After receiving the cycle deviation signal, if one of the corresponding time point number ratio and the time length ratio exceeds the corresponding range, the corresponding detection cycle is shortened to improve the detection frequency. Otherwise, the corresponding detection cycle is lengthened to control the detection cost when meeting the detection demand; If the time point number ratio of the detection parameter floating peak increase time point and the detection parameter non-floating time point in the current detection cycle in the temperature control area is in the time point number ratio threshold range, and the time length ratio of the detection parameter collection error rate rising time length and the same error rate falling time length in the current detection cycle in the temperature control area is in the time length ratio threshold range, it is determined that the current detection cycle is normal, a cycle qualified signal is generated and sent to the temperature control detection platform; The application in use, the part position evaluation analysis unit will be marked as the temperature control area of the automobile part for temperature control detection, obtains the sensor distributed and arranged in the temperature control area and marks the position of each sensor as the detection position, obtains the part position evaluation analysis information, and substitutes into the formula to obtain the evaluation analysis coefficient of the sensor corresponding to the detection position in the automobile temperature control area, and the sensor is divided into important high impact end and non-important low impact end according to the evaluation analysis coefficient comparison; the temperature control detection analysis unit collects the temperature rise parameter and the temperature control parameter, and divides the current temperature control area running temperature environment into high intensity temperature environment and low intensity temperature environment according to the parameter comparison, and collects the heavy high impact information and the non-low impact information according to different types of running temperature environment, generates different types of signals according to information analysis and sends to the temperature control detection platform; the temperature influence analysis unit carries out temperature influence analysis on the temperature control detection process of the temperature control area.

[0023] The preferred embodiments of the application disclosed above are only used to help explain the application. The preferred embodiments do not describe all the details and limit the application to the specific embodiments. Obviously, many modifications and changes can be made according to the content of the present application. The embodiments are selected and described in the present application in order to better explain the principles and practical applications of the application, so that those skilled in the art can well understand and utilize the application. The application is limited by the claims and their entire scope and equivalents.

[0024] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and the coefficients in the formula are set by those skilled in the art according to the actual situation; for example: formula A plurality of sample data are collected by those skilled in the art, and a corresponding purification optimization coefficient is set for each group of sample data; the set purification optimization coefficient and the collected sample data are substituted into the formula, any two formulas constitute a binary linear equation group, the calculated coefficients are screened and the mean value is taken, the values of bhg1, bhg2 and bhg3 are 2.49, 2.21 and 2.1 respectively; the size of the coefficient is a specific numerical value obtained by quantizing each parameter, which is convenient for subsequent comparison, and the size of the coefficient depends on the number of sample data and the preliminary evaluation analysis coefficient set by those skilled in the art for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized numerical value.

Claims

1. The automobile sensor temperature control detection system based on Internet of Things technology is characterized by: Including temperature control detection platform, among which the communication connections of temperature control detection platform are: A position-based evaluation and analysis unit is used to mark the part of the car where temperature control detection is performed as a temperature control area, obtain the sensors distributed within the temperature control area and mark the location of each sensor as a detection location, obtain position-based evaluation and analysis information, and substitute the information into a formula to obtain the evaluation and analysis coefficient of the sensor corresponding to the detection location in the car's temperature control area. Based on the comparison of the evaluation and analysis coefficients, the sensors are divided into important high-impact ends and non-important low-impact ends; The temperature control detection and analysis unit is used to collect temperature rise parameters and temperature control parameters, and divide the operating temperature environment of the current temperature control area into high-intensity temperature environment and low-intensity temperature environment based on parameter comparison. It also collects high-impact information and low-impact information based on different types of operating temperature environments, generates different types of signals based on information analysis, and sends them to the temperature control detection platform; The temperature impact analysis unit is used to perform temperature impact analysis on the temperature control detection process of the temperature control area.

2. The automobile sensor temperature control detection system based on Internet of Things technology according to claim 1 is characterized in that: The location-based assessment and analysis information includes the maximum numerical deviation of the same detection parameter at a detection location within the temperature control area at different operating durations during vehicle operation, the fluctuation of the numerical deviation of the corresponding detection parameter at the same detection location within the temperature control area at different ambient temperatures, and the cumulative period during which any detection parameter at a detection location within the temperature control area is not within the set parameter threshold during vehicle operation and the overlapping period during vehicle operation and maintenance inspection. If the evaluation and analysis coefficient of the sensor corresponding to the detection position within the vehicle temperature control area exceeds the evaluation and analysis coefficient threshold, the corresponding sensor will be marked as an important high-impact end; if the evaluation and analysis coefficient of the sensor corresponding to the detection position within the vehicle temperature control area does not exceed the evaluation and analysis coefficient threshold, the corresponding sensor will be marked as a non-important low-impact end.

3. The automobile sensor temperature control detection system based on Internet of Things technology according to claim 1 is characterized in that: The collected temperature rise parameters and temperature control parameters are respectively the span value of the real-time temperature value to be controlled in the temperature control area during the operation of the vehicle and the deviation floating frequency between the actual time and the set time of controlling the real-time temperature value to be controlled to the set temperature range during the continuous increase of the peak value.

4. The automobile sensor temperature control detection system based on Internet of Things technology according to claim 3 is characterized in that: If the temperature rise parameter exceeds the peak continuous increase span value threshold, or the temperature control parameter exceeds the time deviation floating frequency threshold, the operating temperature environment of the current temperature control area is set to a high-intensity temperature environment; if the temperature rise parameter does not exceed the peak continuous increase span value threshold, and the temperature control parameter does not exceed the time deviation floating frequency threshold, the operating temperature environment of the current temperature control area is set to a low-intensity temperature environment.

5. The automobile sensor temperature control detection system based on Internet of Things technology according to claim 4 is characterized in that: The heavy-high impact information and non-low impact information are respectively the frequency of shortening the adjacent floating interval time of the detection parameters of the important high-impact end in the temperature control area during the current operation of the vehicle, and the maximum span peak value of the corresponding numerical fluctuation of the detection parameters of the non-important low-impact end in the temperature control area at the adjacent detection moments.

6. The automobile sensor temperature control detection system based on Internet of Things technology according to claim 5 is characterized in that: If the severe high impact information exceeds the shortened frequency threshold, or the non-low impact information exceeds the floating maximum span peak threshold, the current temperature control detection and analysis is judged to be abnormal. If the current temperature environment is a high-intensity temperature environment, an environmental alarm signal is generated; if the current temperature environment is a low-intensity temperature environment, a device alarm signal is generated; If the severe high impact information does not exceed the shortened frequency threshold, and the non-low impact information does not exceed the floating maximum span peak threshold, the current temperature control detection and analysis is judged to be normal. If the current temperature environment is a high-intensity temperature environment, a safety signal is generated; if the current temperature environment is a low-intensity temperature environment, a warning signal is generated.

7. The automobile sensor temperature control detection system based on Internet of Things technology according to claim 1 is characterized in that: The temperature impact analysis process is as follows: Analyze the temperature control detection period of the temperature control area, take the temperature control detection period as the rear period and collect the period of equal length as the temperature control detection period and mark them as the front period respectively; The temperature control area impact analysis period is constructed through two periods; The detection parameter value at any detection position in the temperature control area is used as the reference parameter for impact analysis.

8. The automobile sensor temperature control detection system based on Internet of Things technology according to claim 7 is characterized in that: Obtain the floating trends of the reference parameters for impact analysis at the same detection location in the preceding and following periods, and compare the two floating trends. If the floating trends of the reference parameters for impact analysis in the preceding period are connected to the floating trends of the reference parameters for impact analysis in the following period, a normal temperature impact signal is generated, and the temperature control detection platform continues to perform the current temperature control detection. If the floating trend of the reference parameter for the impact analysis of the front period and the floating trend of the reference parameter for the impact analysis of the rear period are non-connected trends, then the temperature impact of the front period in the current temperature control area is abnormal, and the temperature control detection platform suspends the temperature control detection of the current temperature control area, while controlling the current vehicle operation and detecting and regulating the real-time temperature environment of the temperature control area.

9. The automobile sensor temperature control detection system based on Internet of Things technology according to claim 8 is characterized in that: There are two specific situations of connected trends: the two trends are in the same trend, and the corresponding floating spans of the increasing trend or decreasing trend are in the same range; the two trends are in the same trend floating cycle, and the floating peaks and valleys of the two trends in the reciprocating floating cycle are both within the set range, and the floating spans are also within the same range.

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