A performance detection method and system for 3D perspective drying sensor

Abstract

The present invention discloses a performance detection method and system for a 3D perspective drying sensor, and relates to the field of sensor detection technology. The method comprises the following steps: analyzing the real-time monitoring performance of a 3D perspective drying sensor; analyzing the durability performance of the 3D perspective drying sensor according to the sensor performance test parameter data; analyzing the extreme response performance of the 3D perspective drying sensor according to the sensor performance test parameter data; and comprehensively analyzing the performance of the 3D perspective drying sensor in combination with the real-time monitoring performance, durability performance, and extreme response performance of the 3D perspective drying sensor. The present invention achieves the effect of accurately and efficiently analyzing the performance of the 3D perspective drying sensor by comprehensively analyzing the performance of the 3D perspective drying sensor in combination with the real-time monitoring performance, durability performance, and extreme response performance of the 3D perspective drying sensor, thereby solving the problem in the prior art that the performance of the 3D perspective drying sensor is difficult to accurately and efficiently analyze.

Description

Technical Field

[0001] The present invention relates to the field of sensor detection technology, and in particular to a performance detection method and system for a 3D perspective drying sensor. Background Art

[0002] The 3D perspective drying sensor is an advanced sensor used to detect and monitor the temperature distribution and humidity of an object. It is widely used in industrial manufacturing, food processing, medical equipment, and textile processing. The key feature of this sensor is its ability to provide detailed temperature and humidity information about the inside and surface of an object, thereby ensuring that the drying process of products and materials is both uniform and efficient. In order to ensure the stability and reliability of the 3D perspective drying sensor, it is crucial to test its performance. However, existing detection methods often have problems such as incomplete detection, slow speed, and low accuracy, which cannot meet actual needs.

[0003] The existing drying sensor detection system obtains measurement data by testing the drying sensor in a controlled environment, obtains corresponding standard data through high-precision equipment, and evaluates its accuracy by comparing the standard data with the measurement data.

[0004] For example, the invention patent with announcement number CN111829968B discloses a multi-stage transient dynamic performance measuring device for a laser gas concentration measuring sensor, which includes a measuring part with a hollow cylindrical structure, one end of which is sealed by a transparent material, and the other end is sealed by a transparent or opaque material, and the interior of the measuring part is longitudinally divided into a plurality of closed air chambers by a partition; and each air chamber is filled with gases of different concentrations or types; the laser sensor to be measured is arranged at the transparent material sealed end of the measuring part; the measuring part rotates along the central axis, and the laser sensor sends a laser beam to the air chamber to measure the concentration of the gas in different air chambers.

[0005] For example, a patent application with publication number: CN115753647A discloses a photosensitive sensor performance detection device, which includes: a cabinet, an air supply device and a spray device; an air suction device is provided on the cabinet; a plurality of nozzles connected to the air suction device are provided in the cabinet, and a filtering device is also provided in the cabinet; the air supply device is provided on the cabinet, and the output end of the air supply device extends into the cabinet and passes through a plurality of nozzles in sequence and is connected to the plurality of nozzles; the air supply device is used to introduce airflow into the plurality of nozzles; the spray device is provided on the cabinet, and the output end of the spray device extends into the cabinet and passes through a plurality of nozzles in sequence and is connected to the plurality of nozzles; the spray device is used to introduce solution into the plurality of nozzles.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, laboratory testing and on-site calibration of 3D perspective drying sensors are limited to specific environmental conditions and may not fully reflect the performance of the sensor in different environments. Laboratory testing and on-site calibration may involve high costs and a long time. The 3D perspective drying sensor may be affected by the environment during use, resulting in inaccurate detection results, which in turn affects the analysis of the performance of the 3D perspective drying sensor. There are performance issues of the 3D perspective drying sensor that are difficult to analyze accurately and efficiently. Summary of the invention

[0008] The embodiments of the present application provide a performance detection method and system for a 3D perspective drying sensor, thereby solving the problem in the prior art that it is difficult to accurately and efficiently analyze the performance of a 3D perspective drying sensor, and achieving accurate and efficient analysis of the performance of a 3D perspective drying sensor.

[0009] An embodiment of the present application provides a performance detection method for a 3D perspective drying sensor, comprising the following steps: using a 3D perspective drying sensor to perform a performance detection test in a 3D space to be monitored; monitoring the performance detection test process of the 3D perspective drying sensor in real time; acquiring sensor performance test parameter data through real-time monitoring; analyzing the real-time monitoring performance of the 3D perspective drying sensor according to the sensor performance test parameter data; analyzing the durability performance of the 3D perspective drying sensor according to the sensor performance test parameter data; analyzing the extreme response performance of the 3D perspective drying sensor according to the sensor performance test parameter data; and comprehensively analyzing the performance of the 3D perspective drying sensor in combination with the real-time monitoring performance, durability performance and extreme response performance of the 3D perspective drying sensor.

[0010] Furthermore, the performance detection test includes: real-time monitoring performance test, durability test and extreme performance test; the real-time monitoring performance test is used to test the real-time monitoring performance of the 3D perspective drying sensor; the durability test is used to test the durability of the 3D perspective drying sensor; the extreme performance test is used to test the extreme coping performance of the 3D perspective drying sensor.

[0011] Furthermore, the specific analysis process of analyzing the real-time monitoring performance of the 3D perspective drying sensor according to the sensor performance test parameter data is: performing a real-time monitoring performance test on the 3D perspective drying sensor and obtaining the sensor performance test parameter data through real-time monitoring; obtaining the real-time monitoring performance evaluation parameter data according to the sensor performance test parameter data; obtaining the real-time monitoring performance evaluation coefficient according to the real-time monitoring performance evaluation parameter data analysis, and the real-time monitoring performance evaluation coefficient is used to reflect the qualification degree of the real-time monitoring performance of the 3D perspective drying sensor; analyzing the real-time monitoring performance of the 3D perspective drying sensor according to the real-time monitoring performance evaluation coefficient.

[0012] Furthermore, the specific analysis process of analyzing the real-time monitoring performance of the 3D perspective drying sensor according to the real-time monitoring performance evaluation coefficient is: obtaining the real-time monitoring performance evaluation coefficient, obtaining the first-level threshold of the real-time monitoring performance and the second-level threshold of the real-time monitoring performance, when the real-time monitoring performance evaluation coefficient is greater than the first-level threshold of the real-time monitoring performance and less than the second-level threshold of the real-time monitoring performance, it indicates that the real-time monitoring performance of the 3D perspective drying sensor is qualified; when in other situations, it indicates that the real-time monitoring performance of the 3D perspective drying sensor is unqualified.

[0013] Furthermore, the specific analysis process of analyzing the durability performance of the 3D perspective drying sensor is: conducting a durability test on the 3D perspective drying sensor and obtaining sensor performance test parameter data through real-time monitoring; obtaining sensor durability performance evaluation parameter data based on the sensor performance test parameter data; obtaining a sensor durability performance evaluation index based on the sensor durability performance evaluation parameter data, and the sensor durability performance evaluation index is used to reflect the degree to which the durability performance of the 3D perspective drying sensor meets the standard; analyzing the durability performance of the 3D perspective drying sensor based on the sensor durability performance evaluation index.

[0014] Furthermore, the specific analysis process of analyzing the durability of the 3D perspective drying sensor according to the sensor durability performance evaluation index is: obtaining the sensor durability performance evaluation index, obtaining the first durability performance threshold and the second durability performance threshold; when the sensor durability performance evaluation index is greater than the first durability performance threshold and less than the second durability performance threshold, it indicates that the durability performance of the 3D perspective drying sensor meets the standard; when in other situations, it indicates that the durability performance of the 3D perspective drying sensor does not meet the standard.

[0015] Furthermore, the specific analysis process of analyzing the extreme coping performance of the 3D perspective drying sensor is: performing an extreme performance test on the 3D perspective drying sensor and obtaining sensor performance test parameter data through real-time monitoring; obtaining extreme situation performance evaluation parameter data based on the sensor performance test parameter data; obtaining an extreme situation performance evaluation index based on the extreme situation performance evaluation parameter data analysis, and the extreme situation performance evaluation index is used to reflect the degree of qualification of the extreme coping performance of the 3D perspective drying sensor; and analyzing the extreme coping performance of the 3D perspective drying sensor based on the extreme situation performance evaluation index.

[0016] Furthermore, the specific analysis process of analyzing the extreme coping performance of the 3D perspective drying sensor according to the extreme situation performance evaluation index is as follows: obtaining the extreme situation performance evaluation index, obtaining the first extreme situation performance threshold and the second extreme situation performance threshold; when the extreme situation performance evaluation index is greater than the first extreme situation performance threshold and less than the second extreme situation performance threshold, it indicates that the extreme coping performance of the 3D perspective drying sensor is qualified; when in other situations, it indicates that the extreme coping performance of the 3D perspective drying sensor is unqualified; the specific analysis process of comprehensively analyzing the performance of the 3D perspective drying sensor by combining the real-time monitoring performance, durability performance and extreme coping performance of the 3D perspective drying sensor is as follows: when the real-time monitoring performance of the 3D perspective drying sensor is qualified, the durability performance of the 3D perspective drying sensor is up to standard, and the extreme coping performance of the 3D perspective drying sensor is qualified are all established at the same time, it indicates that the performance of the 3D perspective drying sensor is qualified; when other situations occur, it indicates that the performance of the 3D perspective drying sensor is unqualified.

[0017] Furthermore, the specific method for obtaining the real-time monitoring performance evaluation coefficient is as follows: when the 3D perspective drying sensor performs real-time monitoring of the 3D space to be monitored, multiple data collections are performed, and the data collection times are numbered; the real-time monitoring performance test times are obtained, and the real-time monitoring performance test times are numbered; the weight ratio of the preset sensor response time and the sensor recovery time is obtained from the database; the real-time monitoring performance evaluation parameter data is obtained; and the real-time monitoring performance evaluation coefficient calculation formula is constructed according to the real-time monitoring performance evaluation parameter data; the specific real-time monitoring performance evaluation coefficient calculation formula is:

[0018]

[0019] Where ρ is the real-time monitoring performance evaluation coefficient of the 3D perspective drying sensor. It represents the sensor response time of the 3D perspective drying sensor in the c0th data collection of the s0th real-time monitoring performance test in the 3D space to be monitored, c0=1,2,...,c, c0 represents the number of data collection times, c represents the total number of data collection times, s0=1,2,...,s, s0 represents the number of real-time monitoring performance tests, s represents the total number of real-time monitoring performance tests, It is represented as the sensor recovery time of the 3D perspective drying sensor during the c0th data collection of the s0th real-time monitoring performance test of the 3D space to be monitored, It is represented as the sensor response reference duration of the s0th real-time monitoring performance test of the 3D perspective drying sensor in the 3D space to be monitored, It is represented as the sensor recovery reference time of the s0th real-time monitoring performance test of the 3D perspective drying sensor in the 3D space to be monitored, Y1 is represented as the weight ratio of the sensor response time in the real-time monitoring performance evaluation coefficient, and Y2 is represented as the weight ratio of the sensor recovery time in the real-time monitoring performance evaluation coefficient.

[0020] The embodiment of the present application provides a performance detection system for a 3D perspective drying sensor, including: a performance detection module, a monitoring module, a parameter acquisition module, a real-time monitoring performance analysis module, a durability performance analysis module, an extreme response performance analysis module and a comprehensive analysis module; wherein the performance detection module is used to use the 3D perspective drying sensor to perform performance detection tests in a 3D space to be monitored; the monitoring module is used to perform real-time monitoring of the performance detection test process of the 3D perspective drying sensor; the parameter acquisition module is used to obtain sensor performance test parameter data through real-time monitoring; the real-time monitoring performance analysis module is used to analyze the real-time monitoring performance of the 3D perspective drying sensor according to the sensor performance test parameter data; the durability performance analysis module is used to analyze the durability performance of the 3D perspective drying sensor according to the sensor performance test parameter data; the extreme response performance analysis module is used to analyze the extreme response performance of the 3D perspective drying sensor according to the sensor performance test parameter data; the comprehensive analysis module is used to comprehensively analyze the performance of the 3D perspective drying sensor in combination with the real-time monitoring performance, durability performance and extreme response performance of the 3D perspective drying sensor.

[0021] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0022] 1. By using a 3D perspective drying sensor to perform performance detection tests in the 3D space to be monitored, the performance detection test process of the 3D perspective drying sensor is monitored in real time, and the sensor performance test parameter data is obtained through real-time monitoring, so as to analyze the real-time monitoring performance, durability performance and extreme response performance of the 3D perspective drying sensor according to the sensor performance test parameter data, thereby realizing a comprehensive analysis of the performance of the 3D perspective drying sensor by combining the real-time monitoring performance, durability performance and extreme response performance of the 3D perspective drying sensor, effectively solving the problem that the performance of the 3D perspective drying sensor is difficult to analyze accurately and efficiently in the prior art.

[0023] 2. By conducting real-time monitoring performance tests on the 3D perspective drying sensor and obtaining sensor performance test parameter data through real-time monitoring, real-time monitoring performance evaluation parameter data are obtained based on the sensor performance test parameter data, and the real-time monitoring performance evaluation coefficient is obtained based on the real-time monitoring performance evaluation coefficient, thereby analyzing the real-time monitoring performance of the 3D perspective drying sensor according to the real-time monitoring performance evaluation coefficient, thereby realizing accurate analysis of the real-time monitoring performance of the 3D perspective drying sensor.

[0024] 3. Through real-time monitoring performance testing, durability testing and extreme performance testing of the 3D perspective drying sensor, the test process is monitored to obtain the sensor performance test parameter data, and then the real-time monitoring performance, durability performance and extreme response performance of the 3D perspective drying sensor are analyzed according to the sensor performance test parameter data, thereby realizing a comprehensive and detailed test of the 3D perspective drying sensor and analyzing the performance of the 3D perspective drying sensor. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A flow chart of a performance detection method for a 3D perspective drying sensor provided in an embodiment of the present application;

[0026] Figure 2 A real-time monitoring performance evaluation coefficient curve diagram provided in an embodiment of the present application;

[0027] Figure 3 A schematic structural diagram of a 3D perspective drying sensor performance detection system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The embodiment of the present application solves the problem in the prior art that the performance of a 3D perspective drying sensor is difficult to analyze accurately and efficiently by providing a performance detection method and system for a 3D perspective drying sensor. The 3D perspective drying sensor is used to perform a performance detection test in a 3D space to be monitored, and the performance detection test process of the 3D perspective drying sensor is monitored in real time. Sensor performance test parameter data is acquired through real-time monitoring, and the real-time monitoring performance, durability performance, and extreme response performance of the 3D perspective drying sensor are analyzed according to the sensor performance test parameter data, thereby realizing a comprehensive analysis of the performance of the 3D perspective drying sensor by combining the real-time monitoring performance, durability performance, and extreme response performance of the 3D perspective drying sensor.

[0029] The technical solution in the embodiment of the present application is to solve the above-mentioned problem that it is difficult to accurately and efficiently analyze the performance of the 3D perspective drying sensor. The overall idea is as follows:

[0030] The 3D perspective drying sensor is used to perform performance detection tests in the 3D space to be monitored. The performance detection tests include: real-time monitoring performance test, durability test and extreme performance test; real-time monitoring of the performance detection test process of the 3D perspective drying sensor; obtaining sensor performance test parameter data through real-time monitoring; obtaining real-time monitoring performance evaluation parameter data according to the sensor performance test parameter data; obtaining real-time monitoring performance evaluation coefficient according to the analysis of the real-time monitoring performance evaluation parameter data; analyzing the real-time monitoring performance of the 3D perspective drying sensor according to the real-time monitoring performance evaluation coefficient; obtaining sensor durability performance evaluation parameter data according to the sensor performance test parameter data; obtaining sensor durability performance evaluation index according to the analysis of the sensor durability performance evaluation parameter data; analyzing the durability performance of the 3D perspective drying sensor according to the sensor durability performance evaluation index; obtaining extreme situation performance evaluation parameter data according to the sensor performance test parameter data; obtaining extreme situation performance evaluation index according to the analysis of the extreme situation performance evaluation parameter data; analyzing the extreme response performance of the 3D perspective drying sensor according to the extreme situation performance evaluation index; comprehensively analyzing the performance of the 3D perspective drying sensor by combining the real-time monitoring performance, durability performance and extreme response performance of the 3D perspective drying sensor, thereby achieving the effect of accurately and efficiently analyzing the performance of the 3D perspective drying sensor.

[0031] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0032] like Figure 1 As shown, it is a flow chart of a performance detection method of a 3D perspective drying sensor provided in an embodiment of the present application, and the method includes the following steps: using a 3D perspective drying sensor to perform a performance detection test in a 3D space to be monitored; real-time monitoring of the performance detection test process of the 3D perspective drying sensor; obtaining sensor performance test parameter data through real-time monitoring; analyzing the real-time monitoring performance of the 3D perspective drying sensor according to the sensor performance test parameter data; analyzing the durability performance of the 3D perspective drying sensor according to the sensor performance test parameter data; analyzing the extreme response performance of the 3D perspective drying sensor according to the sensor performance test parameter data; and comprehensively analyzing the performance of the 3D perspective drying sensor in combination with the real-time monitoring performance, durability performance and extreme response performance of the 3D perspective drying sensor.

[0033] Furthermore, the performance detection tests include: real-time monitoring performance test, durability test and extreme performance test; the real-time monitoring performance test is used to test the real-time monitoring performance of the 3D perspective drying sensor; the durability test is used to test the durability of the 3D perspective drying sensor; the extreme performance test is used to test the extreme coping performance of the 3D perspective drying sensor.

[0034] In this embodiment, the performance of the 3D perspective drying sensor can be tested from many aspects, such as testing the accuracy of the temperature and humidity readings of the sensor under static conditions, testing the response time and recovery time of the sensor, simulating the rapid changes of temperature and humidity in the actual working environment to test the dynamic response characteristics of the sensor, changing the environmental conditions (such as heating or cooling) to record the response time and stability of the sensor, testing its perspective effect and drying effect on different materials (such as wood, paper, metal, etc.), testing the drying uniformity of the sensor on materials of different thicknesses, and measuring the temperature and humidity under the same conditions multiple times to evaluate the repeatability and accuracy of the sensor's readings, etc. Here, the performance of the 3D perspective drying sensor is comprehensively analyzed from three aspects: real-time monitoring performance, durability performance, and extreme response performance of the 3D perspective drying sensor. Therefore, the 3D perspective drying sensor is subjected to real-time monitoring performance test, durability test, and extreme performance test.

[0035] Furthermore, the specific analysis process of analyzing the real-time monitoring performance of the 3D perspective drying sensor according to the sensor performance test parameter data is as follows: perform a real-time monitoring performance test on the 3D perspective drying sensor and obtain the sensor performance test parameter data through real-time monitoring; obtain the real-time monitoring performance evaluation parameter data according to the sensor performance test parameter data; obtain the real-time monitoring performance evaluation coefficient according to the real-time monitoring performance evaluation parameter data analysis, and the real-time monitoring performance evaluation coefficient is used to reflect the degree of qualification of the real-time monitoring performance of the 3D perspective drying sensor; analyze the real-time monitoring performance of the 3D perspective drying sensor according to the real-time monitoring performance evaluation coefficient.

[0036] In this embodiment, the real-time monitoring performance evaluation parameter data refers to the data used to analyze and obtain the real-time monitoring performance evaluation coefficient. The real-time monitoring performance test of the 3D perspective drying sensor includes: placing the 3D perspective drying sensor in an environment where the temperature or humidity can change rapidly. When the ambient temperature or humidity changes, the time when the 3D perspective drying sensor responds is recorded, that is, the time point when the output signal begins to change. Then, after the change stops, the reading of the 3D perspective drying sensor no longer changes, and the time required for the reading of the 3D perspective drying sensor to change from the beginning to no longer change is recorded. For example, if the 3D perspective drying sensor is placed in an environment that can simulate a change from hot to cold, record whether the 3D perspective drying sensor can accurately respond within 1 second after the temperature changes, and whether it can provide a stable reading within 1 second after the temperature returns to a stable state. Through these tests, the real-time monitoring performance of the 3D perspective drying sensor can be evaluated to ensure that it can meet the needs of rapid response in practical applications.

[0037] Furthermore, the specific method for obtaining the real-time monitoring performance evaluation coefficient is as follows: when the 3D perspective drying sensor performs real-time monitoring of the 3D space to be monitored, multiple data collections are performed, and the data collection times are numbered; the real-time monitoring performance test times are obtained, and the real-time monitoring performance test times are numbered; the weight ratio of the preset sensor response time and the sensor recovery time is obtained from the database; the real-time monitoring performance evaluation parameter data is obtained; and the real-time monitoring performance evaluation coefficient calculation formula is constructed according to the real-time monitoring performance evaluation parameter data; the specific real-time monitoring performance evaluation coefficient calculation formula is:

[0038]

[0039] Where ρ is the real-time monitoring performance evaluation coefficient of the 3D perspective drying sensor. It represents the sensor response time of the 3D perspective drying sensor in the c0th data collection of the s0th real-time monitoring performance test in the 3D space to be monitored, c0=1,2,...,c, c0 represents the number of data collection times, c represents the total number of data collection times, s0=1,2,...,s, s0 represents the number of real-time monitoring performance tests, s represents the total number of real-time monitoring performance tests, It is represented as the sensor recovery time of the 3D perspective drying sensor during the c0th data collection of the s0th real-time monitoring performance test of the 3D space to be monitored, It is represented as the sensor response reference duration of the s0th real-time monitoring performance test of the 3D perspective drying sensor in the 3D space to be monitored, It is represented as the sensor recovery reference time of the s0th real-time monitoring performance test of the 3D perspective drying sensor in the 3D space to be monitored, Y1 is represented as the weight ratio of the sensor response time in the real-time monitoring performance evaluation coefficient, and Y2 is represented as the weight ratio of the sensor recovery time in the real-time monitoring performance evaluation coefficient.

[0040] In this embodiment, the specific process of obtaining the preset weight ratio of sensor response time and sensor recovery time from the database is: obtaining historical data related to real-time monitoring performance, analyzing the historical data related to real-time monitoring performance, finding out the relationship between sensor response time, sensor recovery time and the real-time monitoring performance evaluation coefficient that needs to be adjusted, using a curve fitting method to obtain a fitting curve, and obtaining the fitting effect of the fitting curve by analyzing the mean square error of the fitting curve. The fitting curve corresponding to the smallest mean square error is used as the best fitting curve, and the real-time sensor response time and sensor recovery time are brought into the best fitting curve to obtain the weight ratio corresponding to the sensor response time and the sensor recovery time.

[0041] The sensor response time refers to the time required for the 3D perspective drying sensor to sense the temperature or humidity change and the output signal change. The sensor recovery time refers to the time required for the 3D perspective drying sensor to return to a stable reading after experiencing a temperature or humidity change. The sensor response reference time refers to the time required for a qualified 3D perspective drying sensor to sense the temperature or humidity change and the output signal change within the temperature and humidity change range specified by the 3D perspective drying sensor. The sensor recovery reference time refers to the time required for a qualified 3D perspective drying sensor to return to a stable reading within the temperature and humidity change range specified by the 3D perspective drying sensor. When the 3D perspective drying sensor is tested for real-time monitoring performance, a timer is used to count the time required for the 3D perspective drying sensor to sense the temperature or humidity change and the output signal change and the time required for the 3D perspective drying sensor to return to a stable reading after experiencing a temperature or humidity change, so as to obtain the sensor response time and sensor recovery time. When a qualified 3D perspective drying sensor is operating normally, a timer is used to count the above process, so as to obtain the sensor response reference time and sensor recovery reference time.

[0042] The sensor response time and the sensor recovery time together reflect the response speed of the 3D perspective drying sensor. The smaller the sensor response time and the sensor recovery time, the faster the response speed of the 3D perspective drying sensor, and vice versa. In the algorithm of this embodiment, the real-time monitoring performance evaluation parameter data is nonlinearly transformed using the inverse cotangent function to obtain the real-time monitoring performance evaluation coefficient, which smoothes the abnormally large or small data in the real-time monitoring performance evaluation parameter data, so that the real-time monitoring performance evaluation coefficient is in a relatively normal and stable change, which is conducive to more accurately analyzing the real-time monitoring performance of the 3D perspective drying sensor based on the real-time monitoring performance evaluation coefficient.

[0043] In a specific embodiment, Figure 2 As shown, it is a real-time monitoring performance evaluation coefficient curve graph provided in an embodiment of the present application, with the sensor response time as the independent variable and the real-time monitoring performance evaluation coefficient as the dependent variable. Curve 1, Curve 2 and Curve 3 were respectively subjected to 3 real-time monitoring performance tests, and data was collected once for each real-time monitoring performance test. Through the increase and decrease analysis of Curve 1, Curve 2 and Curve 3, it can be seen that when the sensor response time is longer, the real-time monitoring performance evaluation coefficient is larger; when the sensor response time is shorter, the real-time monitoring performance evaluation coefficient is smaller. The statistical table of relevant data of the real-time monitoring performance evaluation coefficient is shown in Table 1:

[0044] Table 1 Statistics of relevant data of real-time monitoring performance evaluation coefficient

[0045]

[0046]

[0047] It can be seen from Table 1 that when the sensor recovery time of curve 1, curve 2 and curve 3 is 1.2s, 1.3s and 0.9s respectively, and other parameters are consistent, the real-time monitoring performance evaluation coefficients of curve 1, curve 2 and curve 3 are 1.21, 1.22 and 1.19 respectively. It can be seen that when the sensor response time is consistent with other parameters, the longer the sensor recovery time is, the greater the real-time monitoring performance evaluation coefficient is.

[0048] Furthermore, the specific analysis process of analyzing the real-time monitoring performance of the 3D perspective drying sensor according to the real-time monitoring performance evaluation coefficient is as follows: obtaining the real-time monitoring performance evaluation coefficient, obtaining the first-level threshold of the real-time monitoring performance and the second-level threshold of the real-time monitoring performance. When the real-time monitoring performance evaluation coefficient is greater than the first-level threshold of the real-time monitoring performance and less than the second-level threshold of the real-time monitoring performance, it indicates that the real-time monitoring performance of the 3D perspective drying sensor is qualified; when in other situations, it indicates that the real-time monitoring performance of the 3D perspective drying sensor is unqualified.

[0049] In this embodiment, historical data related to real-time monitoring performance is obtained, and historical real-time monitoring performance evaluation coefficients are analyzed based on the historical data related to real-time monitoring performance. The real-time monitoring performance first-level threshold and the real-time monitoring performance second-level threshold are set in combination with the historical real-time monitoring performance evaluation coefficients and the corresponding real-time monitoring performance qualification conditions, and the real-time monitoring performance first-level threshold and the real-time monitoring performance second-level threshold are obtained. The real-time monitoring performance first-level threshold and the real-time monitoring performance second-level threshold are ρ1 and ρ2, respectively, and the value range of ρ1 is [1.24, 1.26], and the value range of ρ2 is [1.28, 1.29]. When the real-time monitoring performance evaluation coefficient is greater than the real-time monitoring performance first-level threshold and less than the real-time monitoring performance second-level threshold, that is, ρ1<ρ<ρ2, it indicates that the real-time monitoring performance of the 3D perspective drying sensor is qualified; when in other situations, that is, ρ≤ρ1 or ρ2≤ρ, it indicates that the real-time monitoring performance of the 3D perspective drying sensor is unqualified.

[0050] Furthermore, the specific analysis process of analyzing the durability performance of the 3D perspective drying sensor is as follows: conducting a durability test on the 3D perspective drying sensor and obtaining sensor performance test parameter data through real-time monitoring; obtaining sensor durability performance evaluation parameter data based on the sensor performance test parameter data; obtaining a sensor durability performance evaluation index based on the sensor durability performance evaluation parameter data analysis, and the sensor durability performance evaluation index is used to reflect the degree to which the durability performance of the 3D perspective drying sensor meets the standard; analyzing the durability performance of the 3D perspective drying sensor based on the sensor durability performance evaluation index.

[0051] In this embodiment, the durability performance evaluation parameter data refers to data used to analyze and obtain the durability performance evaluation index of the sensor. The durability test of the 3D perspective drying sensor includes: running the 3D perspective drying sensor continuously for several hours, days or even weeks to evaluate its stability under long-term workload, and checking whether the 3D perspective drying sensor will drift (i.e., the output value gradually deviates from the accurate value over time) or performance degradation.

[0052] The specific method for obtaining the sensor durability performance evaluation index is as follows: dividing the 3D space to be monitored into multiple areas, obtaining the number of the space areas to be monitored, and numbering the space areas to be monitored; obtaining the weight ratio of the preset test temperature under the first operating time, the test temperature under the second operating time, and the test humidity under the first operating time from the database; obtaining the sensor durability performance evaluation parameter data; constructing the sensor durability performance evaluation index calculation formula according to the sensor durability performance evaluation parameter data; the specific sensor durability performance evaluation index calculation formula is:

[0053]

[0054] Where θ is the sensor durability performance evaluation index of the 3D perspective drying sensor. It represents the test temperature of the k0th monitored space area in the 3D perspective drying sensor test at the first running time of the c0th data collection, k0 = 1, 2, ..., k, k0 represents the number of the monitored space area, k represents the total number of monitored space areas, It represents the test temperature of the k0th monitored space area in the 3D perspective drying sensor test at the second running time of the c0th data collection. It represents the humidity of the k0th monitored space area in the 3D perspective drying sensor test at the first running time of the c0th data collection. It represents the test standard temperature of the first running time of the k0th space area to be monitored in the 3D perspective drying sensor test, It represents the test standard temperature of the k0th monitored space area under the second running time of the 3D perspective drying sensor test, It represents the test standard humidity during the first operating time of the k0th monitored space area of ​​the 3D perspective drying sensor test, T1 represents the weight ratio of the test temperature during the first operating time in the sensor durability performance evaluation index, T2 represents the weight ratio of the test temperature during the second operating time in the sensor durability performance evaluation index, and T3 represents the weight ratio of the test humidity during the first operating time in the sensor durability performance evaluation index.

[0055] According to the historical data related to the durability performance of the sensor, a mapping relationship between the test temperature under the first operating duration, the test temperature under the second operating duration, the test humidity under the first operating duration and the sensor durability performance evaluation index is established to obtain a mapping relationship table. According to the real-time test temperature under the first operating duration, the test temperature under the second operating duration, and the test humidity under the first operating duration, the mapping relationship table is queried to obtain the weight ratio of the test temperature under the first operating duration, the test temperature under the second operating duration, and the test humidity under the first operating duration.

[0056] Use a 3D perspective drying sensor to monitor in the same setting environment, and run the 3D perspective drying sensor continuously according to the first operating time and the second operating time. Read the temperature data and humidity data of the 3D perspective drying sensor at the end of the first operating time, that is, to obtain the test temperature under the first operating time, the test temperature under the second operating time, and the test humidity under the first operating time. Read the temperature data of the 3D perspective drying sensor at the end of the second operating time, that is, to obtain the test temperature under the second operating time. Use a high-precision temperature and humidity sensor to measure the temperature and humidity of the above-mentioned setting environment at the end of the first operating time, that is, to obtain the test standard temperature under the first operating time and the test standard humidity under the first operating time. Use a high-precision temperature and humidity sensor to measure the temperature of the above-mentioned setting environment at the end of the second operating time, that is, to obtain the test standard temperature under the second operating time.

[0057] In the same set environment, the temperature and humidity of the environment remain unchanged. During the long-term use of the 3D perspective drying sensor, the test temperature under the first operating duration, the test temperature under the second operating duration, and the test humidity under the first operating duration may deviate from the temperature and humidity of the environment. The longer the second duration is compared with the first duration, the greater the difference between the test temperature under the second operating duration and the test standard temperature under the second operating duration may be, and the greater the difference between the test temperature under the first operating duration and the test humidity under the first operating duration and the test standard temperature under the first operating duration and the test standard humidity under the first operating duration may be, indicating that the durability of the 3D perspective drying sensor is not good and cannot be used for a long time.

[0058] In the algorithm of this embodiment, the sensor durability performance evaluation index is obtained by using the hyperbolic cosine function for nonlinear transformation analysis, the outliers in the sensor durability performance evaluation parameter data are smoothed, and a more accurate sensor durability performance evaluation index is obtained, which is conducive to more accurate analysis of the durability performance of the 3D perspective drying sensor based on the sensor durability performance evaluation index.

[0059] Furthermore, the specific analysis process of analyzing the durability of the 3D perspective drying sensor according to the sensor durability performance evaluation index is as follows: obtaining the sensor durability performance evaluation index, obtaining the first durability performance threshold and the second durability performance threshold; when the sensor durability performance evaluation index is greater than the first durability performance threshold and less than the second durability performance threshold, it indicates that the durability performance of the 3D perspective drying sensor meets the standard; when in other situations, it indicates that the durability performance of the 3D perspective drying sensor does not meet the standard.

[0060] In this embodiment, historical data related to sensor durability is obtained, historical sensor durability evaluation indicators are analyzed according to the historical data related to sensor durability, corresponding durability compliance is analyzed according to the historical sensor durability evaluation indicators, a first durability threshold and a second durability threshold are set in combination with the durability compliance, and the first durability threshold and the second durability threshold are obtained. The first durability threshold and the second durability threshold are θ1 and θ2, respectively, the value range of θ1 is [0.80, 0.82], and the value range of θ2 is [0.91, 0.93]. When the sensor durability evaluation indicator is greater than the first durability threshold and less than the second durability threshold, that is, θ1<θ<θ2, it indicates that the durability of the 3D perspective drying sensor is up to standard; when in other situations, that is, θ<θ1 or θ2<θ, it indicates that the durability of the 3D perspective drying sensor is not up to standard.

[0061] Furthermore, the specific analysis process of analyzing the extreme coping performance of the 3D perspective drying sensor is as follows: conduct extreme performance tests on the 3D perspective drying sensor and obtain sensor performance test parameter data through real-time monitoring; obtain extreme situation performance evaluation parameter data based on the sensor performance test parameter data; obtain an extreme situation performance evaluation index based on the extreme situation performance evaluation parameter data analysis, and the extreme situation performance evaluation index is used to reflect the degree of qualification of the extreme coping performance of the 3D perspective drying sensor; analyze the extreme coping performance of the 3D perspective drying sensor based on the extreme situation performance evaluation index.

[0062] In this embodiment, the extreme case performance evaluation parameter data refers to data used to calculate the extreme case performance evaluation index. The actual use environment of the 3D perspective drying sensor may be more complicated. For example, the 3D perspective drying sensor operates under high temperature, low temperature, high humidity or low humidity conditions. Here, the working ability of the 3D perspective drying sensor under high temperature conditions is considered.

[0063] The specific method for obtaining the extreme situation performance evaluation index is as follows: set multiple extreme high temperature conditions, obtain the number of extreme high temperature conditions, and number the extreme high temperature conditions; obtain the weight ratio of the preset sensor test temperature under extreme conditions, the sensor test humidity under extreme conditions, and the sensor test response time under extreme conditions from the database; obtain extreme situation performance evaluation parameter data; construct an extreme situation performance evaluation index calculation formula based on the extreme situation performance evaluation parameter data; the specific extreme situation performance evaluation index calculation formula is:

[0064]

[0065] Where β is the extreme case performance evaluation index of the 3D perspective drying sensor. It is represented by the test temperature of the 3D perspective drying sensor under the extreme high temperature condition of the k0th monitored space area at the c0th data collection under the extreme conditions of the sensor, g0 = 1, 2, ..., g, g0 represents the number of the extreme high temperature condition, g represents the total number of extreme high temperature conditions, KU g0 It is represented as the reference temperature corresponding to the extreme condition of the 3D perspective drying sensor under the g0th extreme high temperature condition, ΔKU is represented as the sensor reference temperature error of the 3D perspective drying sensor, It is represented as the 3D perspective drying sensor under the extreme high temperature condition of g0 and the humidity of the k0th monitored space area under the sensor extreme condition at the c0th data collection, KL g0 It is represented as the reference humidity corresponding to the extreme condition of the 3D perspective drying sensor under the g0th extreme high temperature condition, and ΔKL is represented as the sensor reference humidity error of the 3D perspective drying sensor. It is represented by the test response time of the 3D perspective drying sensor under extreme conditions in the k0th monitored space area under the g0th extreme high temperature condition at the c0th data collection, KT is represented by the sensor reference response time of the 3D perspective drying sensor, E1 is represented by the weight ratio in the extreme situation performance evaluation index, E2 is represented by the weight ratio in the extreme situation performance evaluation index, and E3 is represented by the weight ratio in the extreme situation performance evaluation index.

[0066] Obtain historical extreme performance data, analyze historical extreme performance data, find out the relationship between the sensor test temperature under extreme conditions, sensor test humidity under extreme conditions, sensor test response time under extreme conditions and the extreme performance evaluation index, use the linear regression method to obtain the fitting curve, analyze the determination coefficient of the fitting curve, take the fitting curve with the largest determination coefficient as the target fitting curve, and obtain the corresponding weight ratio through the target fitting curve. Substitute the real-time sensor test temperature under extreme conditions, sensor test humidity under extreme conditions and sensor test response time under extreme conditions into the target fitting curve to obtain the corresponding weight ratio of the sensor test temperature under extreme conditions, sensor test humidity under extreme conditions and sensor test response time under extreme conditions.

[0067] The 3D perspective drying sensor is placed in the set extreme high temperature conditions for monitoring, and the temperature and humidity output by the 3D perspective drying sensor are read to obtain the test temperature and humidity of the sensor under extreme conditions. The response time of the 3D perspective drying sensor is monitored by a timer to obtain the test response time of the sensor under extreme conditions. The high-precision temperature and humidity sensor is placed in the set extreme high temperature conditions, and the temperature and humidity are measured to obtain the reference temperature corresponding to the extreme conditions and the reference humidity corresponding to the extreme conditions. The 3D perspective drying sensor is placed in normal conditions for monitoring and the response time of the 3D perspective drying sensor is obtained by a timer to obtain the reference response time of the sensor. The 3D perspective drying sensor and the high-precision temperature and humidity sensor are placed in the same normal conditions to measure the temperature and humidity, and the temperature and humidity measured by the high-precision temperature and humidity sensor are respectively calculated with the temperature and humidity measured by the 3D perspective drying sensor for difference calculation and the absolute value is taken to obtain the sensor reference temperature error and the sensor reference humidity error.

[0068] In the algorithm of this embodiment, the greater the difference between the sensor's test temperature under extreme conditions, the sensor's test humidity under extreme conditions, and the sensor's test response time under extreme conditions and the data under normal conditions, the worse the performance of the 3D perspective drying sensor under extreme conditions. The analysis is conducted from three perspectives: the temperature and humidity measured by the 3D perspective drying sensor, and the response time of the 3D perspective drying sensor itself, which is conducive to a more comprehensive analysis of the performance of the 3D perspective drying sensor under extreme conditions. The extreme situation performance evaluation parameter data is nonlinearly transformed by an exponential function to obtain an extreme situation performance evaluation index. When abnormal data appears in the extreme situation performance evaluation parameter data, smoothing is performed to reduce the impact of abnormal data on the extreme situation performance evaluation index, which is conducive to obtaining a more accurate extreme situation performance evaluation index, so that the operating performance of the 3D perspective drying sensor under extreme conditions can be analyzed more accurately according to the extreme situation performance evaluation index.

[0069] Furthermore, the specific analysis process of analyzing the extreme coping performance of the 3D perspective drying sensor according to the extreme situation performance evaluation index is as follows: obtaining the extreme situation performance evaluation index, obtaining the first extreme situation performance threshold and the second extreme situation performance threshold; when the extreme situation performance evaluation index is greater than the first extreme situation performance threshold and less than the second extreme situation performance threshold, it indicates that the extreme coping performance of the 3D perspective drying sensor is qualified; when in other situations, it indicates that the extreme coping performance of the 3D perspective drying sensor is unqualified; the specific analysis process of comprehensively analyzing the performance of the 3D perspective drying sensor by combining the real-time monitoring performance, durability performance and extreme coping performance of the 3D perspective drying sensor is as follows: when the real-time monitoring performance of the 3D perspective drying sensor is qualified, the durability performance of the 3D perspective drying sensor is up to standard, and the extreme coping performance of the 3D perspective drying sensor is qualified are all established at the same time, it indicates that the performance of the 3D perspective drying sensor is qualified; when other situations occur, it indicates that the performance of the 3D perspective drying sensor is unqualified.

[0070] In this embodiment, historical extreme case performance data is obtained, the extreme coping performance qualification situation is analyzed, and the value range of the extreme case performance evaluation index when the extreme coping performance is qualified and unqualified is obtained. The first extreme case performance threshold and the second extreme case performance threshold are set according to the value range, and the first extreme case performance threshold and the second extreme case performance threshold are obtained. The first extreme case performance threshold and the second extreme case performance threshold are β1 and β2, respectively. The value range of β1 is [1.38, 1.39], and the value range of β2 is [1.43, 1.44]. When the extreme case performance evaluation index is greater than the first extreme case performance threshold and less than the second extreme case performance threshold, that is, β1<β<β2, it indicates that the extreme coping performance of the 3D perspective drying sensor is qualified; when in other situations, that is, β<β1 or β2<β, it indicates that the extreme coping performance of the 3D perspective drying sensor is unqualified.

[0071] By conducting real-time monitoring performance tests, durability tests and extreme performance tests on the 3D perspective drying sensor, and analyzing the real-time monitoring performance, durability performance and extreme response performance of the 3D perspective drying sensor, a detailed and specific performance analysis of the 3D perspective drying sensor was conducted, and the performance of the 3D perspective drying sensor was more comprehensively clarified.

[0072] like Figure 3As shown, it is a structural schematic diagram of a performance detection system of a 3D perspective drying sensor provided in an embodiment of the present application. The performance detection system of a 3D perspective drying sensor provided in an embodiment of the present application includes: a performance detection module, a monitoring module, a parameter acquisition module, a real-time monitoring performance analysis module, a durability performance analysis module, an extreme response performance analysis module and a comprehensive analysis module; wherein the performance detection module is used to use the 3D perspective drying sensor to perform performance detection tests in the 3D space to be monitored; the monitoring module is used to monitor the performance detection test process of the 3D perspective drying sensor in real time; the parameter acquisition module is used to obtain sensor performance test parameter data through real-time monitoring; the real-time monitoring performance analysis module is used to analyze the real-time monitoring performance of the 3D perspective drying sensor according to the sensor performance test parameter data; the durability performance analysis module is used to analyze the durability performance of the 3D perspective drying sensor according to the sensor performance test parameter data; the extreme response performance analysis module is used to analyze the extreme response performance of the 3D perspective drying sensor according to the sensor performance test parameter data; the comprehensive analysis module is used to comprehensively analyze the performance of the 3D perspective drying sensor in combination with the real-time monitoring performance, durability performance and extreme response performance of the 3D perspective drying sensor.

[0073] The technical solution in the above-mentioned embodiment of the present application has at least the following technical effects or advantages: by performing real-time monitoring performance testing on the 3D perspective drying sensor and obtaining sensor performance test parameter data through real-time monitoring, real-time monitoring performance evaluation parameter data is obtained according to the sensor performance test parameter data, and a real-time monitoring performance evaluation coefficient is obtained according to the real-time monitoring performance evaluation parameter data analysis, thereby analyzing the real-time monitoring performance of the 3D perspective drying sensor according to the real-time monitoring performance evaluation coefficient, thereby realizing accurate analysis of the real-time monitoring performance of the 3D perspective drying sensor.

[0074] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0075] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0076] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0077] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0078] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0079] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A performance detection method for a 3D perspective drying sensor, characterized in that: The following steps are involved: Use 3D perspective drying sensor to perform performance testing in the 3D space to be monitored; Real-time monitoring of the performance test process of the 3D perspective drying sensor; Obtain sensor performance test parameter data through real-time monitoring; Analyze the real-time monitoring performance of the 3D perspective drying sensor based on the sensor performance test parameter data; Analyze the durability of the 3D perspective drying sensor based on the sensor performance test parameter data; Analyze the extreme response performance of the 3D perspective drying sensor based on the sensor performance test parameter data; The performance of the 3D perspective drying sensor is comprehensively analyzed by combining its real-time monitoring performance, durability performance and extreme response performance; The specific analysis process of analyzing the real-time monitoring performance of the 3D perspective drying sensor according to the sensor performance test parameter data is as follows: Conduct real-time monitoring performance test on 3D perspective drying sensor and obtain sensor performance test parameter data through real-time monitoring; Obtain real-time monitoring performance evaluation parameter data based on sensor performance test parameter data; According to the real-time monitoring performance evaluation parameter data analysis, a real-time monitoring performance evaluation coefficient is obtained, and the real-time monitoring performance evaluation coefficient is used to reflect the qualification degree of the real-time monitoring performance of the 3D perspective drying sensor; Analyze the real-time monitoring performance of the 3D perspective drying sensor based on the real-time monitoring performance evaluation coefficient; The specific analysis process of analyzing the real-time monitoring performance of the 3D perspective drying sensor according to the real-time monitoring performance evaluation coefficient is as follows: Obtain a real-time monitoring performance evaluation coefficient, obtain a first-level threshold value and a second-level threshold value of real-time monitoring performance. When the real-time monitoring performance evaluation coefficient is greater than the first-level threshold value of real-time monitoring performance and less than the second-level threshold value of real-time monitoring performance, it indicates that the real-time monitoring performance of the 3D perspective drying sensor is qualified. In other cases, it indicates that the real-time monitoring performance of the 3D perspective drying sensor is unqualified; The specific analysis process of analyzing the durability of the 3D perspective drying sensor is as follows: Conduct durability tests on 3D perspective drying sensors and obtain sensor performance test parameter data through real-time monitoring; Obtain sensor durability performance evaluation parameter data according to sensor performance test parameter data; According to the sensor durability performance evaluation parameter data analysis, a sensor durability performance evaluation index is obtained, wherein the sensor durability performance evaluation index is used to reflect the degree to which the durability performance of the 3D perspective drying sensor meets the standard; Analyze the durability of the 3D perspective drying sensor based on the sensor durability evaluation index; The specific analysis process of analyzing the durability of the 3D perspective drying sensor according to the sensor durability evaluation index is as follows: Obtaining a durability performance evaluation index of the sensor, obtaining a first durability performance threshold and a second durability performance threshold. When the sensor durability performance evaluation index is greater than the first durability performance threshold and less than the second durability performance threshold, it indicates that the durability performance of the 3D perspective drying sensor meets the standard. In other cases, it means that the durability of the 3D perspective drying sensor does not meet the standard; The specific analysis process of analyzing the extreme response performance of the 3D perspective drying sensor is as follows: Conduct extreme performance tests on 3D perspective drying sensors and obtain sensor performance test parameter data through real-time monitoring; Obtain extreme case performance evaluation parameter data based on sensor performance test parameter data; An extreme situation performance evaluation index is obtained according to the extreme situation performance evaluation parameter data analysis, and the extreme situation performance evaluation index is used to reflect the degree of extreme coping performance qualification of the 3D perspective drying sensor; Analyze the extreme response performance of the 3D perspective drying sensor based on the extreme situation performance evaluation index; The specific analysis process of analyzing the extreme response performance of the 3D perspective drying sensor according to the extreme situation performance evaluation index is as follows: Obtain an extreme case performance evaluation index, obtain an extreme case performance first threshold and an extreme case performance second threshold, when the extreme case performance evaluation index is greater than the extreme case performance first threshold and less than the extreme case performance second threshold, it indicates that the extreme coping performance of the 3D perspective drying sensor is qualified; In other cases, it means that the extreme coping performance of the 3D perspective drying sensor is unqualified; The specific analysis process of comprehensively analyzing the performance of the 3D perspective drying sensor by combining the real-time monitoring performance, durability performance and extreme response performance of the 3D perspective drying sensor is as follows: When the real-time monitoring performance of the 3D perspective drying sensor is qualified, the durability performance of the 3D perspective drying sensor is up to standard, and the extreme response performance of the 3D perspective drying sensor is qualified are all established at the same time, it means that the performance of the 3D perspective drying sensor is qualified; When other situations occur, it means that the performance of the 3D perspective drying sensor is unqualified; The specific method for obtaining the real-time monitoring performance evaluation coefficient is: When the 3D perspective drying sensor performs real-time monitoring of the 3D space to be monitored, multiple data collections are performed, and the data collection times are numbered; Obtain the number of real-time monitoring performance tests and number the number of real-time monitoring performance tests; Obtaining a preset weight ratio of sensor response time and sensor recovery time from a database; Obtain real-time monitoring performance evaluation parameter data; Construct a real-time monitoring performance evaluation coefficient calculation formula based on real-time monitoring performance evaluation parameter data; The specific real-time monitoring performance evaluation coefficient calculation formula is: ； In the formula, It is expressed as the real-time monitoring performance evaluation coefficient of the 3D perspective drying sensor, It is represented by the 3D perspective drying sensor in the 3D space to be monitored. The first real-time monitoring performance test The sensor response time during data collection, , It represents the number of data collection times. It is expressed as the total number of data collection times, , Indicates the number of the real-time monitoring performance test. It is expressed as the total number of real-time monitoring performance tests. It is represented by the 3D perspective drying sensor in the 3D space to be monitored. The first real-time monitoring performance test The sensor recovery time for the first data collection, It is represented by the 3D perspective drying sensor in the 3D space to be monitored. The sensor response reference time of the real-time monitoring performance test, It is represented by the 3D perspective drying sensor in the 3D space to be monitored. The sensor recovery reference time of the real-time monitoring performance test, It is expressed as the weight ratio of sensor response time in the real-time monitoring performance evaluation coefficient. It is expressed as the weight ratio of sensor recovery time in the real-time monitoring performance evaluation coefficient; The specific method for obtaining the sensor durability performance evaluation index is as follows: dividing the 3D space to be monitored into multiple areas, obtaining the number of the space areas to be monitored, and numbering the space areas to be monitored; obtaining the weight ratio of the preset test temperature under the first operating time, the test temperature under the second operating time, and the test humidity under the first operating time from the database; obtaining the sensor durability performance evaluation parameter data; constructing the sensor durability performance evaluation index calculation formula according to the sensor durability performance evaluation parameter data; the specific sensor durability performance evaluation index calculation formula is: ； In the formula, It is expressed as the sensor durability performance evaluation index of the 3D perspective drying sensor. Indicates the first test of 3D perspective drying sensor The space area to be monitored is in The test temperature during the first run time of the data collection, , It represents the number of the space area to be monitored. It is expressed as the total number of spatial areas to be monitored, Indicates the first test of 3D perspective drying sensor The space area to be monitored is in The test temperature during the second run time of the data collection, Indicates the first test of 3D perspective drying sensor The space area to be monitored is in The humidity is tested during the first run of the data collection. Indicates the first test of 3D perspective drying sensor The standard temperature is tested under the first operation time of the monitored space area. Indicates the first test of 3D perspective drying sensor The standard temperature is tested under the second operation time of the monitored space area. Indicates the first test of 3D perspective drying sensor The standard humidity is tested during the first operation time of the monitored space area. It is expressed as the weight ratio of the test temperature in the sensor durability performance evaluation index under the first operating time, It is expressed as the weight ratio of the test temperature in the sensor durability performance evaluation index under the second operating time, It is expressed as the weight ratio of the test humidity in the sensor durability performance evaluation index during the first operation time; The specific method for obtaining the extreme situation performance evaluation index is as follows: set multiple extreme high temperature conditions, obtain the number of extreme high temperature conditions, and number the extreme high temperature conditions; obtain the weight ratio of the preset sensor test temperature under extreme conditions, the sensor test humidity under extreme conditions, and the sensor test response time under extreme conditions from the database; obtain extreme situation performance evaluation parameter data; construct an extreme situation performance evaluation index calculation formula based on the extreme situation performance evaluation parameter data; the specific extreme situation performance evaluation index calculation formula is: ； In the formula, It is expressed as the extreme case performance evaluation index of the 3D perspective drying sensor, The 3D perspective drying sensor is shown in Extremely high temperature conditions The space area to be monitored is in The sensor was tested under extreme conditions during the first data collection, , Indicates the number of extreme high temperature conditions, Expressed as the total number of extreme heat conditions, The 3D perspective drying sensor is shown in The extreme conditions under the extreme high temperature conditions correspond to the reference temperature. It is expressed as the sensor reference temperature error of the 3D perspective drying sensor, The 3D perspective drying sensor is shown in Extremely high temperature conditions The space area to be monitored is in The sensor tested the humidity under extreme conditions during the first data collection. The 3D perspective drying sensor is shown in The extreme conditions under the extreme high temperature conditions correspond to the reference humidity, It is expressed as the sensor reference humidity error of the 3D perspective drying sensor, The 3D perspective drying sensor is shown in Extremely high temperature conditions The space area to be monitored is in The sensor response time under extreme conditions during the data collection test, It is expressed as the sensor reference response time of the 3D perspective drying sensor. Expressed as the weight ratio in the extreme case performance evaluation index, Expressed as the weight ratio in the extreme case performance evaluation index, Expressed as the weight ratio in the extreme case performance evaluation index.

2. A performance detection method for a 3D perspective drying sensor as claimed in claim 1, characterized in that: The performance detection test includes: real-time monitoring performance test, durability test and extreme performance test; The real-time monitoring performance test is used to test the real-time monitoring performance of the 3D perspective drying sensor; The durability test is used to test the durability of the 3D perspective drying sensor; The extreme performance test is used to test the extreme coping performance of the 3D perspective drying sensor.

3. A system using the performance detection method of the 3D perspective drying sensor as described in any one of claims 1-2, characterized in that: include: Performance detection module, monitoring module, parameter acquisition module, real-time monitoring performance analysis module, durability performance analysis module, extreme response performance analysis module and comprehensive analysis module; Wherein, the performance detection module is used to use a 3D perspective drying sensor to perform performance detection tests in the 3D space to be monitored; The monitoring module is used to monitor the performance detection and testing process of the 3D perspective drying sensor in real time; The parameter acquisition module is used to acquire sensor performance test parameter data through real-time monitoring; The real-time monitoring performance analysis module is used to analyze the real-time monitoring performance of the 3D perspective drying sensor according to the sensor performance test parameter data; The durability performance analysis module is used to analyze the durability performance of the 3D perspective drying sensor according to the sensor performance test parameter data; The extreme response performance analysis module is used to analyze the extreme response performance of the 3D perspective drying sensor according to the sensor performance test parameter data; The comprehensive analysis module is used to comprehensively analyze the performance of the 3D perspective drying sensor by combining the real-time monitoring performance, durability performance and extreme response performance of the 3D perspective drying sensor.

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