Air tightness detection system for electric compressor controller

Abstract

The invention discloses an air tightness detection system for an electric compressor controller, and particularly relates to the field of industrial equipment detection, which comprises a self-adaptive clamp module, an intelligent calibration module, a rapid vacuum module, a multi-channel sensor acquisition module, an air tightness detection module, a leakage positioning module and a detection report output module. According to the air tightness detection system for the electric compressor controller, the self-adaptive clamp module and the intelligent calibration module are used for calibrating a complex detection process and ensuring that a clamp is proper in clamping force, optimal in angle, tight in fitting and stable in position precision, so that the problem of detection adaptation of the electric compressor controllers of different models and specifications is solved; the time cost and the use cost caused by frequently adjusting the clamp and calibrating detection parameters are reduced; the vacuumizing process and the pressure maintaining state are accurately controlled through the rapid vacuum module, and the requirement of large-scale production for the detection speed is met; the airtightness detection module is used for calculating airtightness performance indexes and sending signals and data to corresponding modules at the same time, so that the detection precision and reliability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial equipment detection, and more specifically, to an air tightness detection system for an electric compressor controller. Background Art

[0002] With the vigorous development of industrial automation and new energy vehicle industries, electric compressors are important power or functional components. The reliability and stability of electric compressor controllers have become particularly important. The controller is not only responsible for receiving, processing and sending signals, but its sealing performance is also directly related to the stability and reliability of the product in harsh environments.

[0003] The air tightness detection system detects and eliminates leakage points, screens out components with obvious defects, ensures the integrity of the basic functions of the controller, ensures that the product has good sealing performance, prevents gas or liquid leakage, reduces scrap rate and unnecessary reprocessing, and thus reduces costs.

[0004] However, in actual use, it still has some shortcomings. For example, the traditional detection method has limited accuracy and is difficult to detect tiny leaks, which can cause water ingress or poor insulation in the controller, affecting product reliability. The detection speed cannot meet the needs of large-scale production, causing a bottleneck in production efficiency. Electric compressor controllers of different models and specifications require frequent adjustment and calibration of the detection system, which increases the cost of use and time. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides an electric compressor controller airtightness detection system, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0006] To achieve the above object, the present invention provides the following technical solutions: The air tightness detection system of the electric compressor controller is characterized by comprising a system operation database, a programmable controller and a human-machine interface, and also comprising: Adaptive fixture module: automatically adjusts the test fixture parameters based on the electric compressor controller to be tested to obtain the fixture adaptation parameters and transmit them to the fast vacuum module; Intelligent calibration module: calibrates the airtightness detection standard in the airtightness detection system based on the electric compressor controller to be detected, so as to obtain the airtightness calibration parameters and transmit them to the fast vacuum module; Fast vacuum module: starts detection measures based on the fixture adaptation parameters output by the adaptive fixture module and the airtightness calibration parameters output by the intelligent calibration module, and outputs the actual vacuum parameters during the detection process to the multi-channel sensor acquisition module; Multi-channel sensor acquisition module: used to collect comprehensive data values ​​at different positions and angles in multiple channels through high-precision sensors, and organize the actual vacuum parameters in the fast vacuum module to obtain multi-channel data groups and transmit them to the airtight detection module; Airtightness detection module: used to comprehensively analyze multi-channel data groups and determine the airtightness of the electric compressor controller to be tested; Leakage location module: used to locate the leakage of the electric compressor controller to be tested, determine the location information of the leakage point, and transmit it to the test report output module; Test report output module: used to receive the air tightness test results output by the air tightness test module and the leakage point location output by the leakage positioning module, and generate an air tightness test report, which includes the controller number of the electric compressor, the date and time of the test, the multi-channel data group, the air tightness test results, and the leakage location; The system operation database includes all data texts of the electric compressor controller air tightness detection system, and collects the information text output by each module in real time. The programmable controller is used for the information text instructions output by each module in the central control system, and the human-machine interface is an information output device for receiving the electric compressor controller air tightness detection system.

[0007] Preferably, the adaptive fixture module obtains fixture adaptation parameters, specifically including: By comparing the information of the electric compressor controller to be tested with the database content, the fixture adaptation parameters required for the controller to be tested are determined; Dynamically fine-tune the fixture adaptation parameters based on real-time monitoring by sensors.

[0008] Preferably, the intelligent calibration module obtains airtightness calibration parameters, specifically including: Compare the database with the data obtained in real time to determine the ideal air tightness test standard corresponding to the controller to be tested, including the maximum allowable leakage rate, the pressure change range during the pressure holding time, the thermal expansion coefficient, and the pressure compensation coefficient under different temperature environments; The airtightness calibration parameters are calculated based on the ideal airtightness detection standard, and the airtightness calibration parameters include pressure holding time, pressure threshold, pressure change range, and temperature compensation parameters.

[0009] Preferably, the rapid vacuum module detection measures specifically include: Receive the fixture adaptation parameters output by the adaptive fixture module and the airtightness calibration parameters output by the intelligent calibration module, and initialize the vacuum pump, vacuum solenoid valve, vacuum pressure detection device and auxiliary devices externally connected to the electric compressor controller; Start the vacuum pump and vacuum solenoid valve to extract air through the vacuum detection joint connected to the high-voltage connector socket of the controller of the electric compressor assembly; When the internal vacuum pressure reaches the preset target vacuum degree, it immediately enters the pressure holding state and obtains the actual vacuum parameters; The actual vacuum parameters include the vacuum pressure change curve during the vacuuming process, the time point when the target vacuum degree is reached, and the pressure fluctuation during the pressure holding process.

[0010] Preferably, the multi-channel sensor acquisition module, the multi-channel data group includes actual pressure measurement values, preset standard pressure values, thermal diffusivity of the electric compressor controller material, volume expansion coefficient, surface heat transfer coefficient, holding time, heat flow change, and effective heat transfer area.

[0011] Preferably, the multi-channel sensor acquisition module fuses the data of different sensor channels with the actual vacuum parameters according to a preset algorithm and logic, specifically including: Data preprocessing: synchronize the data of each sensor channel with the actual vacuum parameters, set a unified time base, and mark each data point with a timestamp; Data cleaning: smoothing the data points that are obviously deviated from the normal range; Based on physical model fusion: According to the ideal gas state equation, the pressure data measured by the pressure sensor and the temperature data measured by the temperature sensor are combined with the internal volume of the electric compressor controller and the volume of the connection part of the detection system known in the actual vacuum parameters; Fusion based on statistical analysis: Different weights are assigned to different sensor data and actual vacuum parameters according to their importance in judging airtightness, and the data of each sensor channel is fused with the actual vacuum parameters through the weighted average method.

[0012] Preferably, the airtightness detection module performs a comprehensive analysis on the multi-channel data group, specifically including: Based on the actual pressure measurement value P and the preset standard pressure value Pr, the internal and external pressure deviation ΔP of the electric compressor controller is calculated, which is specifically expressed as: , where ΔP represents the internal and external pressure deviation of the electric compressor controller, n represents the total number of measurement points in the multi-channel data set, and P i It is represented as the actual pressure measurement value of the i-th measurement point, i represents the index of the measurement point, P r Indicated as preset standard pressure value; Based on the thermal diffusivity α, volume expansion coefficient β, surface heat transfer coefficient h, holding time t, heat flow change Q, and effective heat transfer area A of the electric compressor controller material, the actual detection temperature T is calculated, which is specifically expressed as: , where T represents the actual detected temperature of the electric compressor controller, α represents the thermal diffusivity of the electric compressor controller material, t represents the holding time, ΔQ (t) represents the change in heat flow at the holding time t, β represents the volume expansion coefficient of the electric compressor controller material, h represents the surface heat transfer coefficient of the electric compressor controller, A represents the effective heat transfer area of ​​the electric compressor controller, x represents the spatial position point, and (∂T (t, x) / ∂x) represents the rate of change of temperature at the spatial position x with time t; Based on the internal and external pressure deviation ΔP of the electric compressor controller, the pressure holding time t, and the actual detection temperature T of the electric compressor controller, the airtight performance index ATQ is calculated, which is specifically expressed as: , where ATQ is the airtight performance index, ΔP is the pressure deviation inside and outside the electric compressor controller, and E is the detection area of ​​the electric compressor controller. E V represents the volume of the detection area of ​​the electric compressor controller, R represents the gas constant, which is 8.31, t represents the pressure holding time, T represents the actual detection temperature of the electric compressor controller, and (∂T / ∂t) represents the rate of change of temperature with time.

[0013] Preferably, the airtightness detection module determines the airtightness of the electric compressor controller to be detected, specifically including: Process the multi-channel data group transmitted by the multi-channel sensor acquisition module; Determine the air tightness result of the electric compressor to be tested according to the air tightness performance index ATQ; If the ATQ value is within the pre-set qualified range, it means that the air tightness of the electric compressor controller is good. If the ATQ value is out of the range, it is determined that there is a leak; If the electric compressor controller is judged to be airtight, a qualified signal is sent to the test report output module, together with the test data; If it is determined that there is a problem with the air tightness of the electric compressor controller, an unqualified signal will be sent to the leakage location module together with the detection data. At the same time, the characteristic data that caused the air tightness problem will be recorded in detail, including the pressure change point of abnormal leakage, excessive flow value, and abnormal temperature change.

[0014] Technical effects and advantages of the present invention: The present invention calibrates the complex detection process through the adaptive fixture module and the intelligent calibration module and ensures that the clamping force of the fixture is appropriate, the angle is optimal, the fit is tight, and the position accuracy is stable, thereby solving the detection adaptation problem of electric compressor controllers of different models and specifications and reducing the time cost and use cost caused by frequent adjustment of the fixture and calibration of detection parameters; The invention uses a fast vacuum module to accurately control the vacuuming process and the pressure holding state, thus meeting the requirements of large-scale production for detection speed; The present invention calculates the airtight performance index through the airtight detection module and sends signals and data to the corresponding modules at the same time, thereby improving the accuracy and reliability of detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a system flow chart of the present invention.

[0016] Figure 2 It is a system step diagram of the present invention.

[0017] Figure 3 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear contrary indication in its context. It should also be understood that the term "and / or" used in the present application refers to and includes any or all possible combinations of one or more listed items, and otherwise stated, the meaning of "multiple" is two or more.

[0020] As attached Figure 1 The electric compressor controller air tightness detection system shown includes a system operation database, a programmable controller and a human-machine interface, and also includes an adaptive fixture module, an intelligent calibration module, a fast vacuum module, a multi-channel sensor acquisition module, an air tightness detection module, a leak location module, and a detection report output module.

[0021] The system operation database includes all data texts of the electric compressor controller air tightness detection system, and collects the information text output by each module in real time. The programmable controller is used for the information text instructions output by each module in the central control system, and the human-machine interface is an information output device for receiving the electric compressor controller air tightness detection system.

[0022] The adaptive fixture module automatically adjusts the detection fixture parameters based on the electric compressor controller to be detected to obtain the fixture adaptation parameters and transmit them to the fast vacuum module.

[0023] In one possible implementation, the step of automatically adjusting the inspection fixture includes: when the electric compressor controller to be inspected enters the inspection point, using an optical sensor to quickly scan the controller's outer contour and three-dimensional spatial information to obtain the length, width, height and geometric features of key parts of the controller; using radio frequency identification technology to read the model and batch data on the controller; and based on the obtained controller outer contour, three-dimensional spatial information, and identification information on the controller, quickly searching and matching in a preset controller inspection database.

[0024] Specifically, in a preset controller detection database, ideal fixture adaptation parameter ranges corresponding to different electric compressor controllers are obtained, and the preset controller detection database is used to store the correspondence between the electric compressor controllers and the ideal fixture adaptation parameter ranges.

[0025] In a possible implementation, the step of automatically adjusting the detection fixture also includes: determining the fixture adaptation parameters required for the controller to be tested by comparing the electric compressor controller information to be tested and the database content, the fixture adaptation parameters including the clamping force, clamping angle, and fit of the controller interface of the fixture; dynamically fine-tuning the fixture adaptation parameters according to real-time monitoring by the sensor to ensure that the clamping force of the fixture on the controller is neither too large to cause damage to the controller, nor too small to affect the airtightness.

[0026] In this embodiment, the clamp is dynamically adjusted by starting a high-precision hydraulic drive, and the pressure sensor monitors the pressure on the contact surface between the clamp and the controller in real time; the optimal clamping angle of the clamp is adjusted according to the angle adjustment drive to ensure that the fit between the clamp and the controller is uniform and tight; at the same time, the position change of the clamp is monitored by a displacement sensor to ensure the accuracy and stability of the clamp during the adjustment process.

[0027] The intelligent calibration module calibrates the airtightness detection standard in the airtightness detection system based on the electric compressor controller to be detected, so as to obtain the airtightness calibration parameters and transmit them to the fast vacuum module.

[0028] In one possible embodiment, the step of obtaining the airtightness calibration parameters includes: when the electric compressor controller to be tested enters the test point, the device parameters stored inside the controller are read through the communication interface connected to the controller, and the physical properties of the controller are measured through high-precision sensors, including the density of the controller shell material, the thickness of the shell material, the volume of the controller, and the circuit component layout of the controller.

[0029] Specifically, in a preset controller detection database, preset airtightness detection standards corresponding to different electric compressor controllers are obtained, and the preset controller detection database is used to store the corresponding relationship between the electric compressor controller and the preset airtightness detection standard.

[0030] In a possible implementation, the step of obtaining airtightness calibration parameters also includes: comparing a database with data obtained in real time to determine an ideal airtightness test standard corresponding to the controller to be tested, including the maximum allowable leakage rate, the pressure change range within the pressure holding time, the thermal expansion coefficient, and the pressure compensation coefficient under different temperature environments; calculating the airtightness calibration parameters based on the ideal airtightness test standard, the airtightness calibration parameters including target vacuum degree, pressure holding time, pressure threshold, pressure change range, and temperature compensation parameters.

[0031] Specifically, based on the volume and internal structure of the electric compressor controller and the maximum allowable leakage rate, the pressure thresholds at different detection stages are calculated using the gas dynamics equation. During the pressure maintenance process, the reasonable pressure change range is calculated based on the permeability and thermal expansion coefficient of the controller material. Based on the influence of ambient temperature on pressure measurement, the temperature compensation parameters are calculated.

[0032] The fast vacuum module starts detection measures based on the fixture adaptation parameters output by the adaptive fixture module and the airtightness calibration parameters output by the intelligent calibration module, and outputs the actual vacuum parameters during the detection process to the multi-channel sensor acquisition module.

[0033] In a possible implementation, the fast vacuum module includes: receiving the fixture adaptation parameters output by the adaptive fixture module and the airtightness calibration parameters output by the intelligent calibration module, and initializing the vacuum pump, vacuum solenoid valve, vacuum pressure detection device and auxiliary device externally connected to the electric compressor controller; Specifically, the working power and operation mode of the vacuum pump are set according to the target vacuum degree; the measurement accuracy and alarm threshold of the vacuum pressure detection device are calibrated according to the allowable pressure variation range; the opening and closing time and logic control of the vacuum solenoid valve are set; After completing the initialization settings, start the vacuum pump and the vacuum solenoid valve, and extract air through the vacuum detection joint connected to the high-voltage connector socket of the controller of the electric compressor assembly; when the internal vacuum pressure reaches the preset target vacuum degree, it immediately enters the pressure holding state and obtains the actual vacuum parameters, which include the vacuum pressure change curve during the vacuuming process, the time point when the target vacuum degree is reached, and the pressure fluctuation during the pressure holding process.

[0034] In this embodiment, the vacuum solenoid valve opens and closes in a timely manner according to the preset control logic, accurately controls the flow path of the air, and makes the vacuum pumping process stable and efficient; during the vacuum pumping process, the vacuum pressure detection device monitors the vacuum pressure value in real time and dynamically adjusts the working state of the vacuum pump.

[0035] The multi-channel sensor acquisition module is used to collect comprehensive data values ​​at different positions and angles in multiple channels through high-precision sensors, and to organize the actual vacuum parameters in the fast vacuum module to obtain multi-channel data groups and transmit them to the airtight detection module.

[0036] Specifically, data is collected through high-precision sensors arranged at multiple different positions and angles, including but not limited to pressure sensors, temperature sensors, flow sensors, etc.; the data from different sensor channels are integrated with the actual vacuum parameters according to preset algorithms and logics to obtain a multi-channel data set, which includes actual pressure measurement values, preset standard pressure values, thermal diffusivity of the electric compressor controller material, volume expansion coefficient, surface heat transfer coefficient, holding time, heat flow change, and effective heat transfer area.

[0037] In this embodiment, the pressure sensor captures the pressure conditions at various locations during the vacuum stage, the pressure holding stage, and other time periods; the temperature sensor monitors the ambient temperature and temperature fluctuations in real time; and the flow sensor detects the flow of gas during the vacuum process.

[0038] In a possible implementation, the operation of fusing the data of different sensor channels with the actual vacuum parameters according to a preset algorithm and logic includes: data preprocessing: time synchronization of the data of each sensor channel and the actual vacuum parameters, setting a unified time reference, and marking a timestamp for each data point; In this embodiment, the pressure sensor collects data every 0.1 seconds, and the temperature sensor collects data every 0.2 seconds. The start and end time points of vacuuming in the actual vacuum parameters are key parameters, and alignment is performed based on a unified time axis to ensure that data from different sources can be accurately matched in the time dimension; Data cleaning: smoothing the data points that are obviously deviated from the normal range; Based on physical model fusion: According to the ideal gas state equation, the pressure data measured by the pressure sensor and the temperature data measured by the temperature sensor are combined with the internal volume of the electric compressor controller and the volume of the connection part of the detection system known in the actual vacuum parameters; In this embodiment, the change in the amount of gas is calculated by real-time pressure and temperature data, and compared with the target vacuum degree and pressure holding requirements in the actual vacuum parameters to determine the airtightness; Based on statistical analysis fusion: Different weights are assigned to different sensor data and actual vacuum parameters according to their importance in judging airtightness, and the data of each sensor channel is fused with the actual vacuum parameters through the weighted average method; In this embodiment, a higher weight is given to the key pressure data, and a moderate weight is given to the temperature data during temperature compensation; the weight of the flow data is increased when a small leak is suspected.

[0039] The airtightness detection module is used to perform comprehensive analysis on the multi-channel data group and determine the airtightness of the electric compressor controller to be detected.

[0040] Specifically, the airtight detection module processes the multi-channel data group transmitted by the multi-channel sensor acquisition module, based on the actual pressure measurement value P and the preset standard pressure value P r , calculate the internal and external pressure deviation ΔP of the electric compressor controller, which can be expressed as: , where ΔP represents the internal and external pressure deviation of the electric compressor controller, n represents the total number of measurement points in the multi-channel data set, and P i It is represented as the actual pressure measurement value of the i-th measurement point, i represents the index of the measurement point, P r Indicated as preset standard pressure value; Based on the thermal diffusivity α, volume expansion coefficient β, surface heat transfer coefficient h, holding time t, heat flow change Q, and effective heat transfer area A of the electric compressor controller material, the actual detection temperature T is calculated, which is specifically expressed as: , where T represents the actual detected temperature of the electric compressor controller, α represents the thermal diffusivity of the electric compressor controller material, t represents the holding time, ΔQ (t) represents the change in heat flow at the holding time t, β represents the volume expansion coefficient of the electric compressor controller material, h represents the surface heat transfer coefficient of the electric compressor controller, A represents the effective heat transfer area of ​​the electric compressor controller, x represents the spatial position point, and (∂T (t, x) / ∂x) represents the rate of change of temperature at the spatial position x with time t; Based on the internal and external pressure deviation ΔP of the electric compressor controller, the pressure holding time t, and the actual detection temperature T of the electric compressor controller, the airtight performance index ATQ is calculated, which is specifically expressed as: , where ATQ is the airtight performance index, ΔP is the pressure deviation inside and outside the electric compressor controller, and E is the detection area of ​​the electric compressor controller. E V represents the volume of the detection area of ​​the electric compressor controller, R represents the gas constant, which is 8.31, t represents the pressure holding time, T represents the actual detection temperature of the electric compressor controller, and (∂T / ∂t) represents the rate of change of temperature over time; The airtightness result of the electric compressor to be tested is judged according to the airtightness performance index ATQ. If the ATQ value is within the pre-set qualified range, it means that the airtightness of the electric compressor controller is good; if the ATQ value is out of the range, it is determined that there is a leak; if the electric compressor controller is judged to be airtight, a qualified signal is sent to the test report output module together with the test data; if it is judged that there is a problem with the airtightness of the electric compressor controller, an unqualified signal is sent to the leakage locating module together with the test data, and the characteristic data causing the airtightness problem is recorded in detail, including the pressure change point of abnormal leakage, excessive flow value, and abnormal temperature change.

[0041] The leakage locating module is used to locate the leakage of the electric compressor controller to be detected, determine the position information of the leakage point, and transmit it to the detection report output module.

[0042] In one possible implementation, unqualified signals and leakage data from an airtightness detection module are received, and a pressure distribution diagram is constructed using data collected by a multi-channel pressure sensor at different positions. The pressure gradient between different positions is calculated, and the possible leakage area is determined by comparing the size and direction of the pressure gradient in each area. Fluid dynamics methods are used to analyze flow changes at different positions to determine the gas flow path and leakage position. The data changes of the temperature sensor at different positions are analyzed to construct a temperature field model, and the location of the leakage point is confirmed using the temperature change characteristics. The determined leakage point location information is transmitted to the detection report output module.

[0043] The test report output module is used to receive the air tightness test results output by the air tightness test module and the leakage point location output by the leakage positioning module, and generate an air tightness test report. The air tightness test report includes the electric compressor controller number, the date and time of the test, the multi-channel data group, the air tightness test results, and the leakage location.

[0044] As attached Figure 2 The air tightness detection method of the electric compressor controller shown includes: S1: adaptively controlling fixture parameters, S2: intelligently calibrating detection parameters, S3: starting fast vacuum mode, S4: collecting multi-channel data, S5: detecting air tightness, S6: locating the leakage position, and S7: outputting a detection report.

[0045] S1: Adaptive control of fixture parameters: Automatically adjust the test fixture parameters based on the electric compressor controller to be tested to obtain fixture adaptation parameters; S2: Intelligent calibration of detection parameters: Calibrate the airtightness detection standard in the airtightness detection system based on the electric compressor controller to be detected to obtain the airtightness calibration parameters; S3: Start the fast vacuum mode: start the detection measures based on the fixture adaptation parameters and airtightness calibration parameters, and obtain the actual vacuum parameters during the detection process; S4: Collect multi-channel data: collect comprehensive data values ​​at different positions and angles in multiple channels through high-precision sensors, and sort out actual vacuum parameters in the fast vacuum module to obtain a multi-channel data group; S5: Detecting air tightness: Comprehensively analyzing the multi-channel data group and determining the air tightness of the electric compressor controller to be detected; S6: Locating the leakage position: locating the leakage of the electric compressor controller to be detected, and determining the position information of the leakage point; S7: Output test report: receive the air tightness test result and the leakage point location, and generate an air tightness test report, which includes the controller number of the electric compressor, the date and time of the test, the multi-channel data group, the air tightness test result, and the leakage location; Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other; Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. The air tightness detection system of the electric compressor controller includes a system operation database, a programmable controller and a human-machine interface, characterized in that: Also includes: Adaptive fixture module: Automatically adjust the test fixture parameters based on the electric compressor controller to be tested to obtain the fixture adaptation parameters and transmit them to the fast vacuum module; Intelligent calibration module: calibrates the airtightness detection standard in the airtightness detection system based on the electric compressor controller to be detected, so as to obtain the airtightness calibration parameters and transmit them to the fast vacuum module; Fast vacuum module: starts detection measures based on the fixture adaptation parameters output by the adaptive fixture module and the airtightness calibration parameters output by the intelligent calibration module, and outputs the actual vacuum parameters during the detection process to the multi-channel sensor acquisition module; Multi-channel sensor acquisition module: used to collect comprehensive data values ​​at different positions and angles in multiple channels through high-precision sensors, and organize the actual vacuum parameters in the fast vacuum module to obtain multi-channel data groups and transmit them to the airtight detection module; Airtightness detection module: used to conduct comprehensive analysis on multi-channel data groups and determine the airtightness of the electric compressor controller to be tested; Leakage location module: used to locate the leakage of the electric compressor controller to be tested, determine the location information of the leakage point, and transmit it to the test report output module; Test report output module: used to receive the air tightness test results output by the air tightness test module and the leakage point location output by the leakage positioning module, and generate an air tightness test report, which includes the controller number of the electric compressor, the date and time of the test, the multi-channel data group, the air tightness test results, and the leakage location; The system operation database includes all data texts of the electric compressor controller air tightness detection system, and collects the information text output by each module in real time. The programmable controller is used for the information text instructions output by each module in the central control system, and the human-machine interface is an information output device for receiving the electric compressor controller air tightness detection system.

2. The electric compressor controller air tightness detection system according to claim 1, characterized in that: The adaptive fixture module obtains fixture adaptation parameters, specifically including: By comparing the information of the electric compressor controller to be tested with the database content, the fixture adaptation parameters required for the controller to be tested are determined; Dynamically fine-tune the fixture adaptation parameters based on real-time monitoring by sensors.

3. The electric compressor controller air tightness detection system according to claim 1, characterized in that: The intelligent calibration module obtains airtightness calibration parameters, specifically including: Compare the database with the data obtained in real time to determine the ideal air tightness test standard corresponding to the controller to be tested, including the maximum allowable leakage rate, the pressure change range during the pressure holding time, the thermal expansion coefficient, and the pressure compensation coefficient under different temperature environments; The airtightness calibration parameters are calculated based on the ideal airtightness detection standard, and the airtightness calibration parameters include pressure holding time, pressure threshold, pressure change range, and temperature compensation parameters.

4. The electric compressor controller air tightness detection system according to claim 1, characterized in that: The rapid vacuum module and detection measures specifically include: Receive the fixture adaptation parameters output by the adaptive fixture module and the airtightness calibration parameters output by the intelligent calibration module, and initialize the vacuum pump, vacuum solenoid valve, vacuum pressure detection device and auxiliary devices externally connected to the electric compressor controller; Start the vacuum pump and vacuum solenoid valve to extract air through the vacuum detection joint connected to the high-voltage connector socket of the controller of the electric compressor assembly; When the internal vacuum pressure reaches the preset target vacuum degree, it immediately enters the pressure holding state and obtains the actual vacuum parameters; The actual vacuum parameters include the vacuum pressure change curve during the vacuuming process, the time point when the target vacuum degree is reached, and the pressure fluctuation during the pressure holding process.

5. The electric compressor controller air tightness detection system according to claim 1, characterized in that: The multi-channel sensor acquisition module, the multi-channel data group includes the actual pressure measurement value, the preset standard pressure value, the thermal diffusivity of the electric compressor controller material, the volume expansion coefficient, the surface heat transfer coefficient, the holding time, the heat flow change, and the effective heat transfer area.

6. The electric compressor controller air tightness detection system according to claim 1, characterized in that: The multi-channel sensor acquisition module integrates the data of different sensor channels with the actual vacuum parameters according to a preset algorithm and logic, specifically including: Data preprocessing: synchronize the data of each sensor channel with the actual vacuum parameters, set a unified time base, and mark each data point with a timestamp; Data cleaning: smoothing the data points that are obviously deviated from the normal range; Based on physical model fusion: According to the ideal gas state equation, the pressure data measured by the pressure sensor and the temperature data measured by the temperature sensor are combined with the internal volume of the electric compressor controller and the volume of the connection part of the detection system known in the actual vacuum parameters; Fusion based on statistical analysis: Different weights are assigned to different sensor data and actual vacuum parameters according to their importance in judging airtightness, and the data of each sensor channel is fused with the actual vacuum parameters through the weighted average method.

7. The electric compressor controller air tightness detection system according to claim 1, characterized in that: The airtightness detection module performs a comprehensive analysis on the multi-channel data set, specifically including: Based on the actual pressure measurement value P and the preset standard pressure value P r , calculate the internal and external pressure deviation ΔP of the electric compressor controller, which can be expressed as: , where ΔP represents the internal and external pressure deviation of the electric compressor controller, n represents the total number of measurement points in the multi-channel data set, and P i It is represented as the actual pressure measurement value of the i-th measurement point, i represents the index of the measurement point, P r Indicated as preset standard pressure value; Based on the thermal diffusivity α, volume expansion coefficient β, surface heat transfer coefficient h, holding time t, heat flow change Q, and effective heat transfer area A of the electric compressor controller material, the actual detection temperature T is calculated, which is specifically expressed as: , where T represents the actual detected temperature of the electric compressor controller, α represents the thermal diffusivity of the electric compressor controller material, t represents the holding time, ΔQ (t) represents the change in heat flow at the holding time t, β represents the volume expansion coefficient of the electric compressor controller material, h represents the surface heat transfer coefficient of the electric compressor controller, A represents the effective heat transfer area of ​​the electric compressor controller, x represents the spatial position point, and (∂T (t, x) / ∂x) represents the rate of change of temperature at the spatial position x with time t; Based on the internal and external pressure deviation ΔP of the electric compressor controller, the pressure holding time t, and the actual detection temperature T of the electric compressor controller, the airtight performance index ATQ is calculated, which is specifically expressed as: , where ATQ is the airtight performance index, ΔP is the pressure deviation inside and outside the electric compressor controller, and E is the detection area of ​​the electric compressor controller. E V represents the volume of the detection area of ​​the electric compressor controller, R represents the gas constant, which is 8.31, t represents the pressure holding time, T represents the actual detection temperature of the electric compressor controller, and (∂T / ∂t) represents the rate of change of temperature with time.

8. The electric compressor controller air tightness detection system according to claim 1, characterized in that: The airtightness detection module determines the airtightness of the electric compressor controller to be detected, specifically including: Process the multi-channel data group transmitted by the multi-channel sensor acquisition module; Determine the air tightness result of the electric compressor to be tested according to the air tightness performance index ATQ; If the ATQ value is within the pre-set qualified range, it means that the air tightness of the electric compressor controller is good. If the ATQ value is out of the range, it is determined that there is a leak; If the electric compressor controller is judged to be airtight, a qualified signal is sent to the test report output module, together with the test data; If it is determined that there is a problem with the air tightness of the electric compressor controller, an unqualified signal will be sent to the leakage locating module together with the test data. At the same time, the characteristic data that caused the air tightness problem will be recorded in detail, including the pressure change point of abnormal leakage, excessive flow value, and abnormal temperature change.

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