A detection accuracy evaluation system suitable for compressor performance detection

Abstract

The application belongs to the technical field of compressor detection, and is specifically a detection accuracy evaluation system suitable for compressor performance detection, comprising an accuracy evaluation platform, wherein the accuracy evaluation platform comprises a verification urgency analysis module, an accuracy verification module, a performance deviation judgment module and a performance comprehensive evaluation module; the verification urgency analysis module is used for analyzing the verification urgency condition of the compressor performance detection platform, the compressor performance detection platform is verified when a verification high-urgency signal is generated, the accuracy verification module is used for analyzing the detection accuracy condition of the compressor performance detection platform when verification is performed, and the compressor performance detection platform is allowed to detect various performance parameters of the compressor when a verification low-urgency signal or a verification high-precision signal is generated, so that the accuracy of the detection results collected by the compressor performance detection platform can be effectively ensured, and the reliability of the compressor performance quality evaluation result can be significantly improved.

Description

Technical Field

[0001] This invention relates to the field of compressor testing technology, specifically to a testing accuracy evaluation system applicable to compressor performance testing. Background Technology

[0002] A compressor is a driven fluid machine that raises low-pressure gas to high-pressure gas. It is the heart of a refrigeration system. It draws in low-temperature, low-pressure refrigerant gas through the suction pipe, compresses it by a piston driven by a motor, and then discharges high-temperature, high-pressure refrigerant gas through the discharge pipe, providing power for the refrigeration cycle. During the production and processing of compressors, it is necessary to test various performance parameters of the compressor.

[0003] Traditionally, compressor performance testing platforms are used to collect various performance parameters of compressors. However, it is currently impossible to reasonably determine the urgency of the compressor performance testing platform's verification, and it is also impossible to reasonably verify the compressor performance testing platform and ensure the reliability of the verification results when it is determined to be in a high-urgency verification situation. This is not conducive to ensuring the accuracy of compressor performance test data.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to provide a detection accuracy evaluation system suitable for compressor performance testing, which solves the problem that the existing technology cannot reasonably determine the urgency of the compressor performance testing platform verification, and cannot reasonably verify the compressor performance testing platform and ensure the reliability of the verification results when it is determined that the compressor performance testing platform is in a high-urgency verification situation, which is not conducive to ensuring the accuracy of compressor performance testing results.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] An accuracy assessment system for compressor performance testing includes an accuracy assessment platform. The accuracy assessment platform is communicatively connected to a monitoring terminal and a compressor performance testing platform. The accuracy assessment platform includes a verification urgency analysis module, an accuracy verification module, a performance deviation judgment module, and a comprehensive performance assessment module. The verification urgency analysis module analyzes the verification urgency status of the compressor performance testing platform, generates a high-urgency or low-urgency verification signal based on the analysis, and sends the high-urgency verification signal to the monitoring terminal via the accuracy assessment platform.

[0008] When a high-emergency verification signal is generated, the supervisory personnel verify the compressor testing platform. The accuracy verification module analyzes the detection accuracy of the compressor performance testing platform and generates a high-precision or low-precision verification signal based on the analysis. The low-precision verification signal is then sent to the supervisory terminal. When a low-emergency or high-precision verification signal is generated, the compressor performance testing platform is allowed to test various performance parameters of the compressor. The compressor performance testing platform collects the test values ​​of various performance parameters of the compressor and sends them to the accuracy evaluation platform.

[0009] The performance deviation judgment module marks the deviation between the detected value and the corresponding theoretical value of the compressor's corresponding performance parameter as the performance deviation value. It then compares the performance deviation value with the preset performance deviation error value of the corresponding performance parameter. If the performance deviation value exceeds the preset performance deviation error value, the corresponding performance parameter is marked as a substandard parameter. If the performance deviation value does not exceed the preset performance deviation error value, the corresponding performance parameter is marked as a superior parameter. The substandard and superior parameters of the corresponding compressor are then sent to the performance comprehensive evaluation module via the accuracy evaluation platform. The performance comprehensive evaluation module performs a comprehensive quality analysis on the corresponding compressor and marks it as a qualified compressor, a low-risk compressor, or a high-risk compressor. The marking information of the corresponding compressor is then sent to the monitoring terminal via the accuracy evaluation platform.

[0010] Furthermore, the specific analysis process of the accuracy verification module includes:

[0011] The required performance parameters of the compressor are obtained, and the corresponding performance parameters are marked as i, where i is a natural number greater than or equal to 1; the compressor is subjected to corresponding performance tests using the corresponding standard measuring instruments to obtain the value of performance parameter i and mark it as the standard value; and the value of performance parameter i in the corresponding compressor is collected through the compressor performance testing platform and marked as the value to be analyzed.

[0012] The accuracy of the performance parameters is analyzed to determine whether the compressor performance testing platform's test results for performance parameter i are accurate. If there are performance parameters with inaccurate test results, a low-accuracy verification signal for the compressor performance testing platform is generated; if there are no performance parameters with inaccurate test results, a high-accuracy verification signal for the compressor performance testing platform is generated.

[0013] Furthermore, the specific analysis process for the accuracy analysis of performance parameters is as follows:

[0014] The difference between the value to be analyzed and the standard value of performance parameter i is calculated and the absolute value is taken to obtain the performance misanalysis value. The variance of the performance misanalysis value of several test results of performance parameter i in the corresponding compressor is calculated to obtain the performance test dispersion value. The performance test dispersion value is compared with the corresponding preset performance test dispersion threshold. If the performance test dispersion value exceeds the preset performance test dispersion threshold, it is determined that the test result of the compressor performance test platform for performance parameter i is inaccurate.

[0015] If the performance detection dispersion value does not exceed the preset performance detection dispersion threshold, the performance misanalysis value is compared with the corresponding preset performance misanalysis threshold. If the performance misanalysis value exceeds the preset performance misanalysis threshold, the corresponding performance misanalysis value is marked as a high performance deviation value. The average performance misanalysis value of several test results for performance parameter i in the corresponding compressor is calculated by the compressor performance testing platform to obtain the average performance deviation value. The proportion of high performance deviation values ​​in several test results is marked as high performance deviation value.

[0016] The performance analysis value is obtained by numerically calculating the average performance deviation value and the high performance value. The performance analysis value is then compared with the corresponding preset performance analysis threshold. If the performance analysis value exceeds the preset performance analysis threshold, it is determined that the compressor performance testing platform's test result for performance parameter i is inaccurate.

[0017] Furthermore, the specific analysis process for verifying the urgency analysis module includes:

[0018] The system collects the current time and the time of the last adjacent calibration of the compressor performance testing platform, and marks them as the target time and the adjacent calibration time, respectively. The time difference between the target time and the adjacent calibration time is calculated to obtain the calibration interval. The calibration interval is compared with the preset calibration interval threshold. If the calibration interval exceeds the preset calibration interval threshold, a high-urgent calibration signal is generated.

[0019] If the interval period does not exceed the preset interval period threshold, the abnormality rate of the compressor performance testing platform within the interval period is collected, as well as the duration of each abnormality within the interval period. All durations are summed to obtain the total abnormality duration analysis value. The number of abnormalities with a duration exceeding the preset duration threshold is marked as a high duration frequency measurement value.

[0020] The verification urgency discrimination value is obtained by numerically calculating the interval duration, anomaly rate, total anomaly detection duration, and high duration frequency measurement value. The verification urgency discrimination value is then compared with the preset verification urgency discrimination threshold. If the verification urgency discrimination value exceeds the preset verification urgency discrimination threshold, a high verification urgency signal is generated; if the verification urgency discrimination value does not exceed the preset verification urgency discrimination threshold, a low verification urgency signal is generated.

[0021] Furthermore, when the compressor is tested for performance using the corresponding standard measuring instruments, the accuracy verification module obtains the environmental parameter data of the compressor verification environment and determines whether the corresponding environmental parameter data meets the preset verification environment parameter data requirements. If the corresponding environmental parameter data does not meet the preset verification environment parameter data requirements, the environmental parameter is marked as a high-impact environmental parameter. If a high-impact environmental parameter exists, a verification impact warning signal is generated.

[0022] In addition, the system monitors the verification operations of the verification personnel in real time through surveillance cameras. Based on the collected surveillance video stream, it judges and identifies non-standard operating behaviors of the verification personnel. If non-standard operating behaviors are identified during the verification process, a verification impact warning signal is generated. The verification impact warning signal is then sent to the regulatory terminal through the accuracy assessment platform.

[0023] Furthermore, before performing corresponding performance tests on the compressor using the corresponding standard measuring instruments, the accuracy verification module collects the production date of the corresponding standard measuring instruments and marks the interval between the current date and the production date as the production interval value; and collects the maintenance frequency and failure frequency of the corresponding standard measuring instruments in the historical period and marks the interval between the current time and the adjacent last maintenance time for the standard measuring instruments as the instrument dimension value.

[0024] The instrument reliability coefficient is obtained by numerically calculating the production interval, maintenance frequency, failure frequency, and instrument maintenance time. The instrument reliability coefficient is then compared with the corresponding preset instrument reliability threshold. If the instrument reliability coefficient exceeds the preset instrument reliability threshold, an instrument impact warning signal is generated and sent to the monitoring terminal via the accuracy assessment platform.

[0025] Furthermore, the specific analysis process for the comprehensive quality analysis is as follows:

[0026] The system obtains the optimal and inefficient parameters for the corresponding compressor. If no inefficient parameters are found in the corresponding compressor, it is marked as a qualified compressor. If no optimal parameters are found in the corresponding compressor, it is marked as a high-risk compressor. In other cases, the ratio of the number of inefficient parameters to the number of optimal parameters is used to calculate the inefficient parameter analysis value. The inefficient parameter analysis value is then compared with a preset inefficient parameter analysis threshold. If the inefficient parameter analysis value exceeds the preset inefficient parameter analysis threshold, the corresponding compressor is marked as a high-risk compressor.

[0027] If the inferior parameter analysis value does not exceed the preset inferior parameter analysis threshold, then each set of performance parameters corresponds to a set of preset parameter inspection values. The preset parameter inspection values ​​of all inferior parameters in the corresponding compressor are summed to obtain the inferior parameter inspection value. The inferior parameter inspection value and the inferior parameter analysis value are numerically calculated to obtain the inferior parameter evaluation value. The inferior parameter evaluation value is numerically compared with the preset inferior parameter evaluation threshold. If the inferior parameter evaluation value exceeds the preset inferior parameter evaluation threshold, the corresponding compressor is marked as a high-risk compressor. If the inferior parameter evaluation value does not exceed the preset inferior parameter evaluation threshold, the corresponding compressor is marked as a low-risk compressor.

[0028] Compared with the prior art, the beneficial effects of the present invention are:

[0029] 1. In this invention, the urgency analysis module analyzes the urgency status of the compressor performance testing platform. When a high urgency signal is generated, the compressor performance testing platform is tested. During the test, the accuracy verification module analyzes the accuracy status of the compressor performance testing platform. The analysis generates a high accuracy signal or a low accuracy signal. When a low urgency signal or a high accuracy signal is generated, the compressor performance testing platform is allowed to test various performance parameters of the compressor. The compressor performance testing platform collects the test values ​​of various performance parameters of the compressor and sends them to the accuracy evaluation platform. This can effectively ensure the accuracy of the test results collected by the compressor performance testing platform and significantly improve the reliability of the compressor performance quality evaluation results.

[0030] 2. In this invention, the performance deviation judgment module analyzes the performance status of various performance parameters of the compressor and determines the inferior parameters and superior parameters. The inferior parameters and superior parameters of the corresponding compressor are sent to the performance comprehensive evaluation module. The performance comprehensive evaluation module performs a comprehensive quality analysis on the corresponding compressor and marks the corresponding compressor as a qualified compressor, a low-problem compressor, or a high-problem compressor. This achieves accurate evaluation of the compressor's performance quality, making it easier for supervisors to take appropriate measures to deal with the compressor and reducing the difficulty of compressor production management. Attached Figure Description

[0031] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings;

[0032] Figure 1 This is an overall system block diagram of the present invention;

[0033] Figure 2 This is a system block diagram of the accuracy assessment platform in this invention. Detailed Implementation

[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0035] Example 1: As Figure 1-2 As shown, the present invention proposes a testing accuracy assessment system for compressor performance testing, comprising an accuracy assessment platform. The accuracy assessment platform is communicatively connected to a monitoring terminal and a compressor performance testing platform. The accuracy assessment platform includes a verification urgency analysis module and an accuracy verification module. The verification urgency analysis module analyzes the verification urgency status of the compressor performance testing platform, generating either a high-urgency or low-urgency verification signal. The high-urgency verification signal is then sent to the monitoring terminal via the accuracy assessment platform. Upon receiving the high-urgency verification signal, the monitoring terminal issues a corresponding warning to remind supervisory personnel to promptly verify the compressor performance testing platform, thereby ensuring the accuracy of the compressor performance testing results and reducing the management difficulty for supervisory personnel. The specific analysis process of the verification urgency analysis module is as follows:

[0036] The system collects the current time and the last adjacent time the compressor performance testing platform was calibrated, and marks them as the target time and the adjacent calibration time, respectively. The time difference between the target time and the adjacent calibration time is calculated to obtain the calibration interval. The larger the calibration interval, the more timely the calibration of the compressor performance testing platform needs to be. The calibration interval is compared with a preset calibration interval threshold. If the calibration interval exceeds the preset calibration interval threshold, a high-urgent calibration signal is generated.

[0037] If the interval period does not exceed the preset interval period threshold, the abnormality rate of the compressor performance testing platform within the interval period is collected. The abnormality rate is a data value representing the number of times the compressor performance testing platform experiences abnormalities within the interval period. The duration of each abnormality within the interval period is also collected. All durations are summed to obtain the total abnormality duration analysis value. The duration of a single abnormality is compared with the preset duration threshold. The number of abnormalities with a duration exceeding the preset duration threshold is marked as a high duration frequency value.

[0038] Through formula The calibration interval duration YG, the anomaly rate YK, the total analysis value of anomaly detection duration YP, and the high duration frequency measurement value YW are numerically calculated to obtain the calibration urgency discrimination value YX. Among them, ew1, ew2, ew3, and ew4 are preset proportional coefficients, and ew4 > ew2 > ew3 > ew1 > 0. Furthermore, the larger the value of the calibration urgency discrimination value YX, the more difficult it is to guarantee the accuracy of the compressor performance testing platform, and the more timely the calibration of the compressor performance testing platform is required.

[0039] The verification urgency judgment value YX is compared with the preset verification urgency judgment threshold. If the verification urgency judgment value YX exceeds the preset verification urgency judgment threshold, it indicates that the accuracy of the compressor performance testing platform is difficult to guarantee, and the compressor performance testing platform needs to be verified in time. In this case, a high verification urgency signal is generated. If the verification urgency judgment value YX does not exceed the preset verification urgency judgment threshold, it indicates that the compressor performance testing platform does not need to be verified at present. In this case, a low verification urgency signal is generated.

[0040] When a high-urgent verification signal is generated, regulatory personnel verify the compressor testing platform. The accuracy verification module analyzes the accuracy of the compressor performance testing platform and generates either a high-accuracy or low-accuracy verification signal. The low-accuracy signal is sent to the regulatory terminal. Upon receiving the low-accuracy signal, the regulatory terminal issues a corresponding warning to remind regulatory personnel to take timely optimization and improvement measures. This enhances the accuracy of the compressor performance testing platform's results, further reducing the management difficulty for regulatory personnel and ensuring subsequent effectiveness. The specific analysis process of the accuracy verification module is as follows:

[0041] Obtain the performance parameters (such as compression ratio, energy consumption, etc.) required for the compressor, mark the corresponding performance parameter as i, where i is a natural number greater than or equal to 1; perform corresponding performance tests on the compressor using the corresponding standard measuring instruments to obtain the value of performance parameter i and mark it as the standard value (wherein, the standard value serves as a reference); and collect the value of performance parameter i in the corresponding compressor through the compressor performance testing platform and mark it as the value to be analyzed.

[0042] The accuracy of the performance parameter is determined by analyzing the performance parameter accuracy to determine whether the test results of the compressor performance testing platform for performance parameter i are accurate. The specific analysis process of the performance parameter accuracy analysis is as follows: the difference between the value to be analyzed and the standard value of performance parameter i is calculated and the absolute value is taken to obtain the performance misanalysis value. The variance of the performance misanalysis value of the compressor performance testing platform for several test results of performance parameter i in the corresponding compressor is calculated to obtain the performance test dispersion value.

[0043] It should be noted that the smaller the performance test dispersion value, the more consistent the results of multiple tests on performance parameter i are, and the better the testing stability for performance parameter i. The larger the performance test dispersion value, the worse the repeatability of multiple tests on performance parameter i, and thus the worse the testing effect for performance parameter i. The performance test dispersion value is compared with the corresponding preset performance test dispersion threshold. If the performance test dispersion value exceeds the preset performance test dispersion threshold, it is determined that the test result of the compressor performance testing platform for performance parameter i is inaccurate.

[0044] If the performance detection dispersion value does not exceed the preset performance detection dispersion threshold, the performance misanalysis value is compared with the corresponding preset performance misanalysis threshold. If the performance misanalysis value exceeds the preset performance misanalysis threshold, the corresponding performance misanalysis value is marked as a high performance deviation value. The average performance misanalysis value of several test results for performance parameter i in the corresponding compressor is calculated by the compressor performance testing platform to obtain the average performance deviation value. The proportion of high performance deviation values ​​in several test results is marked as the high performance deviation value (i.e., the ratio of the number of high performance deviation values ​​to the number of tests).

[0045] The performance analysis value XKi is obtained by numerically calculating the average performance deviation XFi and the high performance deviation XPi using the formula XKi = fy1*XFi / fy2 + fy2*XPi, where fy1 and fy2 are preset proportional coefficients, and fy2 > fy1 > 0. Furthermore, the larger the performance analysis value XKi, the less accurate the compressor performance testing platform's test result for performance parameter i. The performance analysis value XKi is compared with the corresponding preset performance analysis threshold. If the performance analysis value XKi exceeds the preset performance analysis threshold, the compressor performance testing platform is judged to have an inaccurate test result for performance parameter i. If there is a performance parameter with an inaccurate test result, a low-accuracy verification signal is generated for the compressor performance testing platform; if there is no performance parameter with an inaccurate test result, a high-accuracy verification signal is generated for the compressor performance testing platform.

[0046] When generating a low-urgent or high-precision verification signal, the compressor performance testing platform is allowed to test various performance parameters of the compressor. The platform collects the test values ​​of these parameters and sends them to the accuracy evaluation platform, effectively ensuring the accuracy of the test results collected by the platform. This provides precise data support for compressor performance quality evaluation and significantly improves the reliability of the evaluation results.

[0047] Furthermore, when the compressor is tested for performance using the corresponding standard measuring instruments, the accuracy verification module acquires various environmental parameter data of the compressor verification environment (such as temperature data, humidity data, etc.) and determines whether the corresponding environmental parameter data meets the preset verification environment parameter data requirements. If the corresponding environmental parameter data does not meet the preset verification environment parameter data requirements, the environmental parameter is marked as a high-impact environmental parameter. If a high-impact environmental parameter exists, it indicates that the compressor verification environment is likely to have a potential adverse effect on the accuracy of the test results of the standard measuring instruments, and a verification impact warning signal is generated.

[0048] The system also monitors the calibration personnel's operations in real time via surveillance cameras. Based on the collected surveillance video streams, it identifies and judges any non-standard operating behaviors of the calibration personnel. If non-standard operating behaviors are identified during the calibration process, it indicates that the calibration personnel's operation is not standard and may have a potential adverse impact on the accuracy of the test results of the standard measuring instrument. In this case, a calibration impact warning signal is generated. The calibration impact warning signal is then sent to the regulatory terminal via the accuracy assessment platform. When the regulatory terminal receives the calibration impact warning signal, it issues a corresponding warning and takes timely corrective measures or repeats the test operation.

[0049] Furthermore, before performing performance tests on the compressor using the corresponding standard measuring instruments, the accuracy verification module collects the production date of the corresponding standard measuring instruments and marks the interval between the current date and the production date as the production interval value. A larger production interval value is less conducive to ensuring the testing accuracy and stability of the standard measuring instruments. The module also collects the maintenance frequency and failure frequency of the corresponding standard measuring instruments in historical periods. The maintenance frequency represents the number of times the instrument was maintained in a historical period, and the failure frequency represents the number of times the instrument failed in a historical period. The interval between the current time and the last adjacent maintenance time for the standard measuring instrument is marked as the instrument dimension value.

[0050] Through formula The instrument reliability coefficient GX is obtained by numerically calculating the production interval value GW, maintenance frequency GF, failure frequency GK, and instrument maintenance time value GS. Among them, rg1, rg2, rg3, and rg4 are preset proportional coefficients, and the values ​​of rg1, rg2, rg3, and rg4 are all greater than zero. Furthermore, the larger the value of the instrument reliability coefficient GX, the worse the instrument condition of the corresponding standard measuring instrument is, and the less conducive it is to ensuring the accuracy of its test results.

[0051] The instrument reliability coefficient GX is compared with the corresponding preset instrument reliability coefficient threshold. If the instrument reliability coefficient GX exceeds the preset instrument reliability threshold, it indicates that the instrument condition of the corresponding standard measuring instrument is poor. An instrument impact warning signal is then generated and sent to the regulatory terminal via the accuracy assessment platform. When the regulatory terminal receives the instrument impact warning signal, it issues a corresponding warning. When the regulatory personnel receive the warning, they promptly replace the corresponding standard measuring instrument. This helps to ensure the smooth and effective conduct of the calibration process and reduces the management difficulty for the regulatory personnel. It has a high degree of intelligence.

[0052] Example 2: Figure 2 As shown, the difference between this embodiment and Embodiment 1 is that the accuracy evaluation platform also includes a performance deviation judgment module and a performance comprehensive evaluation module. The performance deviation judgment module marks the deviation between the detected value and the corresponding theoretical value of the compressor's corresponding performance parameter as the performance deviation value. It should be noted that the larger the value of the performance deviation value, the worse the performance of the corresponding performance parameter of the compressor is. The performance deviation value is compared with the preset performance deviation error value of the corresponding performance parameter. If the performance deviation value exceeds the preset performance deviation error value, it indicates that the performance of the corresponding performance parameter of the compressor is poor, and the corresponding performance parameter is marked as a poor parameter. If the performance deviation value does not exceed the preset performance deviation error value, it indicates that the performance of the corresponding performance parameter of the compressor is good, and the corresponding performance parameter is marked as a good parameter.

[0053] The performance deviation judgment module sends the corresponding compressor's defective and superior parameters to the performance comprehensive evaluation module via the accuracy assessment platform. The performance comprehensive evaluation module performs a comprehensive quality analysis on the corresponding compressor, marking it as a qualified compressor, a low-problem compressor, or a high-problem compressor. This marking information is then sent to the monitoring terminal via the accuracy assessment platform, enabling precise evaluation of compressor performance and quality. This facilitates appropriate corrective actions by monitoring personnel, reducing the difficulty of compressor production management. The specific analysis process for the comprehensive quality analysis is as follows:

[0054] The system obtains the optimal and inadequate parameters for the corresponding compressor. If no inadequate parameters are found in the corresponding compressor, it indicates that the compressor's performance quality is excellent, and the compressor is marked as a qualified compressor. If no optimal parameters are found in the corresponding compressor, it indicates that the compressor's performance quality is extremely poor, and the compressor is marked as a high-risk compressor. In other cases, the ratio of the number of inadequate parameters to the number of optimal parameters is used to calculate the inadequate parameter analysis value. The inadequate parameter analysis value is then compared with a preset inadequate parameter analysis threshold. If the inadequate parameter analysis value exceeds the preset threshold, it indicates that the compressor's performance quality is extremely poor, and the compressor is marked as a high-risk compressor.

[0055] If the inferior parameter analysis value does not exceed the preset inferior parameter analysis threshold, then each set of performance parameters is pre-set to correspond to a set of preset parameter inspection values. The preset parameter inspection values ​​are all greater than zero, and the greater the adverse impact of the deviation of the corresponding performance parameter on the compressor quality, the larger the corresponding preset parameter inspection value. The preset parameter inspection values ​​of all inferior parameters in the corresponding compressor are summed to obtain the inferior parameter analysis value. The inferior parameter evaluation value LX is obtained by numerically calculating the inferior parameter evaluation value LK using the formula LX = a1*LP + a2*LK. Here, a1 and a2 are preset weighting coefficients, a2 > a1 > 0. Furthermore, the larger the value of the inferior parameter evaluation value LX, the worse the performance quality of the corresponding compressor.

[0056] The performance evaluation value LX is compared with the preset performance evaluation threshold. If the performance evaluation value LX exceeds the preset performance evaluation threshold, it indicates that the performance quality of the compressor is extremely poor, and the corresponding compressor is marked as a high-quality compressor. If the performance evaluation value LX does not exceed the preset performance evaluation threshold, it indicates that the performance quality of the compressor is relatively poor, and the corresponding compressor is marked as a low-quality compressor.

[0057] The working principle of this invention is as follows: During use, the urgency analysis module analyzes the urgency status of the compressor performance testing platform, generating either a high-urgency or low-urgency signal. When a high-urgency signal is generated, the compressor performance testing platform is tested. During inspection, the accuracy verification module analyzes the accuracy of the platform's testing, generating either a high-precision or low-precision signal. This improves the accuracy of the performance testing results, reduces management difficulty for supervisors, and ensures effective subsequent use. When a low-urgency or high-precision signal is generated, the platform is allowed to test various performance parameters of the compressor. The platform collects these parameters and sends them to the accuracy evaluation platform, effectively ensuring the accuracy of the collected results. This provides precise data support for compressor performance quality evaluation and significantly improves the reliability of the evaluation results.

[0058] The above formulas are all dimensionless numerical calculations. These formulas are derived from software simulations using collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to actual conditions. The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. The preferred embodiments do not describe all details exhaustively, nor do they limit the invention to specific implementations. Obviously, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A detection accuracy evaluation system suitable for compressor performance testing, characterized in that, The system includes an accuracy assessment platform, which communicates with the monitoring terminal and the compressor performance testing platform. The accuracy assessment platform includes a verification urgency analysis module, an accuracy verification module, a performance deviation judgment module, and a comprehensive performance assessment module. The verification urgency analysis module analyzes the verification urgency status of the compressor performance testing platform, generates a high-urgency or low-urgency verification signal, and sends the high-urgency verification signal to the monitoring terminal via the accuracy assessment platform. When a high-emergency verification signal is generated, the supervisory personnel verify the compressor testing platform. The accuracy verification module analyzes the detection accuracy of the compressor performance testing platform and generates a high-precision or low-precision verification signal based on the analysis. The low-precision verification signal is then sent to the supervisory terminal. When a low-emergency or high-precision verification signal is generated, the compressor performance testing platform is allowed to test various performance parameters of the compressor. The compressor performance testing platform collects the test values ​​of various performance parameters of the compressor and sends them to the accuracy evaluation platform. The performance deviation judgment module marks the deviation between the detected value and the corresponding theoretical value of the compressor's corresponding performance parameter as the performance deviation value. It then compares the performance deviation value with the preset performance deviation error value of the corresponding performance parameter. If the performance deviation value exceeds the preset performance deviation error value, the corresponding performance parameter is marked as a substandard parameter. If the performance deviation value does not exceed the preset performance deviation error value, the corresponding performance parameter is marked as a superior parameter. The substandard and superior parameters of the corresponding compressor are then sent to the performance comprehensive evaluation module via the accuracy evaluation platform. The performance comprehensive evaluation module performs a comprehensive quality analysis on the corresponding compressor and marks it as a qualified compressor, a low-risk compressor, or a high-risk compressor. The marking information of the corresponding compressor is then sent to the monitoring terminal via the accuracy evaluation platform.

2. The detection accuracy evaluation system for compressor performance testing according to claim 1, characterized in that, The specific analysis process of the accuracy verification module includes: The required performance parameters of the compressor are obtained, and the corresponding performance parameters are marked as i, where i is a natural number greater than or equal to 1; the compressor is subjected to corresponding performance tests using the corresponding standard measuring instruments to obtain the value of performance parameter i and mark it as the standard value; and the value of performance parameter i in the corresponding compressor is collected through the compressor performance testing platform and marked as the value to be analyzed. The accuracy of the performance parameters is analyzed to determine whether the compressor performance testing platform's test results for performance parameter i are accurate. If there are performance parameters with inaccurate test results, a low-accuracy verification signal for the compressor performance testing platform is generated; if there are no performance parameters with inaccurate test results, a high-accuracy verification signal for the compressor performance testing platform is generated.

3. The detection accuracy evaluation system for compressor performance testing according to claim 2, characterized in that, The specific analysis process for performance parameter accuracy analysis is as follows: The difference between the value to be analyzed and the standard value of performance parameter i is calculated and the absolute value is taken to obtain the performance misanalysis value. The variance of the performance misanalysis value of several test results of performance parameter i in the corresponding compressor is calculated to obtain the performance test dispersion value. The performance test dispersion value is compared with the corresponding preset performance test dispersion threshold. If the performance test dispersion value exceeds the preset performance test dispersion threshold, it is determined that the test result of the compressor performance test platform for performance parameter i is inaccurate. If the performance detection dispersion value does not exceed the preset performance detection dispersion threshold, the performance misanalysis value is compared with the corresponding preset performance misanalysis threshold. If the performance misanalysis value exceeds the preset performance misanalysis threshold, the corresponding performance misanalysis value is marked as a high performance bias value. The average value of the performance misanalysis value of several test results for the performance parameter i of the corresponding compressor is calculated by the compressor performance testing platform to obtain the average value of performance deviation detection. The proportion of high deviation values ​​in several test results is marked as high performance value. The performance analysis value is obtained by numerically calculating the average performance deviation value and the high performance value. The performance analysis value is then compared with the corresponding preset performance analysis threshold. If the performance analysis value exceeds the preset performance analysis threshold, it is determined that the compressor performance testing platform's test result for performance parameter i is inaccurate.

4. The detection accuracy evaluation system for compressor performance testing according to claim 1, characterized in that, The specific analysis process of the urgency analysis module includes: The system collects the current time and the adjacent time of the last calibration of the compressor performance testing platform, and marks them as the target time and the adjacent calibration time, respectively. The time difference between the target time and the adjacent calibration time is calculated to obtain the calibration interval. If the calibration interval exceeds the preset calibration interval threshold, a high-urgent calibration signal is generated. If the interval period does not exceed the preset interval period threshold, the abnormality rate of the compressor performance testing platform within the interval period is collected, as well as the duration of each abnormality within the interval period. All durations are summed to obtain the total abnormality duration analysis value. The number of abnormalities with a duration exceeding the preset duration threshold is marked as a high duration frequency measurement value. The verification urgency judgment value is obtained by numerically calculating the interval duration, anomaly rate, total anomaly detection duration, and high duration frequency measurement value. If the verification urgency judgment value exceeds the preset verification urgency judgment threshold, a high verification urgency signal is generated; if the verification urgency judgment value does not exceed the preset verification urgency judgment threshold, a low verification urgency signal is generated.

5. The detection accuracy evaluation system for compressor performance testing according to claim 2, characterized in that, When the compressor is tested for performance using the corresponding standard measuring instruments, the accuracy verification module obtains the environmental parameter data of the compressor verification environment and determines whether the corresponding environmental parameter data meets the preset verification environment parameter data requirements. If the corresponding environmental parameter data does not meet the preset verification environment parameter data requirements, the environmental parameter is marked as a high-impact environmental parameter. If a high-impact environmental parameter exists, a verification impact warning signal is generated. In addition, the system monitors the verification operations of the verification personnel in real time through surveillance cameras. Based on the collected surveillance video stream, it judges and identifies non-standard operating behaviors of the verification personnel. If non-standard operating behaviors are identified during the verification process, a verification impact warning signal is generated. The verification impact warning signal is then sent to the regulatory terminal through the accuracy assessment platform.

6. The detection accuracy evaluation system for compressor performance testing according to claim 5, characterized in that, Before performing corresponding performance tests on the compressor using the corresponding standard measuring instruments, the accuracy verification module collects the production date of the corresponding standard measuring instruments and marks the interval between the current date and the production date as the production interval value; and collects the maintenance frequency and failure frequency of the corresponding standard measuring instruments in the historical period and marks the interval between the current time and the adjacent last maintenance time for the standard measuring instruments as the instrument dimension value. The instrument reliability coefficient is obtained by numerically calculating the production interval, maintenance frequency, failure frequency and instrument maintenance time. If the instrument reliability coefficient exceeds the preset instrument reliability threshold, an instrument impact warning signal is generated and sent to the monitoring terminal through the accuracy assessment platform.

7. The detection accuracy evaluation system for compressor performance testing according to claim 1, characterized in that, The specific analysis process for comprehensive quality analysis is as follows: Obtain the good and bad parameters of the corresponding compressor. If there are no bad parameters in the corresponding compressor, mark the corresponding compressor as a qualified compressor. If there are no optimal parameters in the corresponding compressor, the corresponding compressor will be marked as a high-risk compressor; otherwise, the ratio of the number of poor parameters to the number of optimal parameters will be calculated to obtain the poor parameter analysis value. If the poor parameter analysis value exceeds the preset poor parameter analysis threshold, the corresponding compressor will be marked as a high-risk compressor. If the inferior parameter analysis value does not exceed the preset inferior parameter analysis threshold, then each set of performance parameters is pre-set to correspond to a set of preset parameter inspection values. The preset parameter inspection values ​​of all inferior parameters in the corresponding compressor are summed to obtain the inferior parameter inspection value. The inferior parameter inspection value and the inferior parameter analysis value are numerically calculated to obtain the inferior parameter evaluation value. If the defective meter assessment value exceeds the preset defective meter assessment threshold, the corresponding compressor will be marked as a high defective compressor; if the defective meter assessment value does not exceed the preset defective meter assessment threshold, the corresponding compressor will be marked as a low defective compressor.

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