Universal intelligent commodity inspection control system and method

Abstract

The present invention relates to the field of commercial inspection of air conditioners, and in particular to a universal intelligent commercial inspection control system and method, which greatly improves the accuracy of commercial inspection. The universal intelligent commercial inspection control method of the present invention comprises: obtaining the instantaneous value of the refrigerant flow rate at the commercial inspection site, the current working condition data, the instantaneous value of the condensing high pressure of the tested unit and the instantaneous value of the evaporation low pressure of the tested unit, and sending the obtained relevant data to the host computer; identifying the identity information of the tested unit; calculating the mean refrigerant flow rate, the mean condensing high pressure pressure and the mean evaporation low pressure of the tested unit according to the identity information, the instantaneous value of the refrigerant flow rate at the commercial inspection site, the current working condition data, the instantaneous value of the condensing high pressure of the tested unit and the instantaneous value of the evaporation low pressure of the tested unit; calculating the confidence of the refrigerant flow rate, the mean condensing high pressure pressure and the mean evaporation low pressure of the tested unit for the commercial inspection test, and judging the commercial inspection situation according to the confidence. The present invention is applicable to commercial inspection of air conditioners.

Description

Technical Field

[0001] The present invention relates to the field of commercial inspection of air conditioners, and in particular to a universal intelligent commercial inspection control system and method. Background Art

[0002] Commodity inspection is the last comprehensive test that air-conditioning products undergo before leaving the factory, and it is also one of the most important links in the quality inspection process.

[0003] For example, the current commercial inspection of outdoor units of air-conditioning products is carried out in the commercial inspection room of the production line. The outdoor unit to be tested is connected to the test indoor unit, and the machine is turned on and run for a period of time. At the same time, operating parameters such as current, wind speed, and temperature are monitored to determine whether the outdoor unit under test can perform cooling and heating normally.

[0004] The corresponding operating parameters of different series and types of air conditioners are obviously different in terms of monitoring quantity, monitoring content and threshold range, etc. This requires testers to update the detection methods and change the judgment conditions in a timely manner according to the production objects.

[0005] During the commodity inspection, the exhaust and suction pressure of the unit under test, as well as the refrigerant flow rate, will have a significant impact on the unit performance: too high a pressure will reduce the compressor supercooling; too low a pressure will prevent the compressor from being cooled in time. Too small a flow rate will reduce the evaporator heat transfer efficiency, causing the compressor to overheat; too large a flow rate will cut off the compressor clutch, causing the unit to lose its refrigeration capacity. Therefore, the judgment of each commodity inspection result must be combined with the on-site flow and pressure measurement values ​​for a comprehensive judgment.

[0006] At present, the definition of commodity inspection parameters and commodity inspection results are completely determined by manual judgment, and the impact of on-site refrigerant flow, exhaust or condensing pressure, suction or evaporation pressure on the performance judgment of the tested unit is not considered. Therefore, it is impossible to avoid human-caused judgment errors, the inspection accuracy is affected by on-site conditions, and the efficiency of commodity inspection needs to be further improved. Summary of the invention

[0007] The purpose of the present invention is to provide a universal intelligent commodity inspection control system and method, which greatly improves the accuracy of commodity inspection.

[0008] The present invention adopts the following technical solutions to achieve the above purpose, and the universal intelligent commodity inspection control system includes:

[0009] The control module is used to obtain the instantaneous value of the refrigerant flow rate at the commercial inspection site, the current working condition data, the instantaneous value of the condensing high pressure of the unit under test, and the instantaneous value of the evaporating low pressure of the unit under test, and send the obtained relevant data to the host computer;

[0010] Identification module, used to identify the identity information of the unit under test;

[0011] The host computer is used to obtain the average refrigerant flow rate, the average condensing high pressure and the average evaporating low pressure of the tested model according to the identity information and the current working condition data;

[0012] Calculate the confidence of the average refrigerant flow rate, the average condensing high pressure and the average evaporating low pressure of the tested model for the commercial inspection test. The calculation formula is as follows:

[0013]

[0014] Where, fx = ABS(F – Fav), phx = ABS(PH – PH_av);

[0015] plx=ABS(PL–PL_av);P Flow (fx) represents the confidence level of the mean refrigerant flow rate for the commodity inspection test, P PressH (phx) represents the confidence level of the mean condensing high pressure for the commodity inspection test, P Press_L (plx) represents the confidence of the average evaporation low pressure for the commodity inspection test, F represents the instantaneous value of the refrigerant flow rate at the commodity inspection site, Fav represents the average refrigerant flow rate, PH represents the instantaneous value of the condensing high pressure of the unit under test, PH_av represents the average condensing high pressure pressure, PL represents the instantaneous value of the evaporation low pressure of the unit under test, PL_av represents the average evaporation low pressure pressure, and K represents the confidence factor constant;

[0016] The commercial inspection situation is judged based on the confidence level of the commercial inspection test based on the average refrigerant flow rate, average condensing high pressure and average evaporating low pressure of the tested model.

[0017] Furthermore, the host computer is specifically used to judge the commercial inspection situation. If the confidence of any of the refrigerant flow rate average, condensing high pressure average and evaporating low pressure average of the tested model for the commercial inspection test is less than a preset threshold, the measurement result is judged to be unqualified. This method improves the accuracy of commercial inspection judgment.

[0018] Furthermore, the control module is also used to obtain real-time working data of the model under test, and the real-time working data includes: current working mode, four-way valve status, expansion valve status, compressor status, fan speed and status, working current, voltage, software version, temperature sensor data, and automatic fault reporting of the unit under test.

[0019] Furthermore, the host computer is specifically used to judge the commodity inspection situation. If any real-time working data of the tested model exceeds a preset range, or when an automatic fault report of the tested model is received, the tested model is determined to be unqualified.

[0020] The accuracy of commodity inspection judgment is improved through any working data or automatically reported faults of the tested model.

[0021] Furthermore, the control module is also used to monitor the data sampling process and the communication process in real time, and if sampling anomalies or communication interruptions occur, faults are reported and warnings are issued.

[0022] A general intelligent commodity inspection control method, applied to the general intelligent commodity inspection control system described above, comprises:

[0023] Obtain the instantaneous value of the refrigerant flow rate, current working condition data, the instantaneous value of the condensing high pressure of the unit under test, and the instantaneous value of the evaporating low pressure of the unit under test at the commercial inspection site, and send the obtained relevant data to the host computer;

[0024] Identify the identity information of the unit under test;

[0025] According to the identity information and the current working condition data, the average refrigerant flow rate, the average condensing high pressure and the average evaporating low pressure of the tested model are obtained;

[0026] Calculate the confidence of the average refrigerant flow rate, the average condensing high pressure and the average evaporating low pressure of the tested model for the commercial inspection test. The calculation formula is as follows:

[0027]

[0028] Where, fx = ABS(F – Fav), phx = ABS(PH – PH_av);

[0029] plx=ABS(PL–PL_av);P Flow (fx) represents the confidence level of the mean refrigerant flow rate for the commercial inspection test, P Press_H (phx) represents the confidence level of the mean condensing high pressure for the commodity inspection test, P Press_L (plx) represents the confidence of the average evaporation low pressure for the commodity inspection test, F represents the instantaneous value of the refrigerant flow rate at the commodity inspection site, Fav represents the average refrigerant flow rate, PH represents the instantaneous value of the condensing high pressure of the unit under test, PH_av represents the average condensing high pressure pressure, PL represents the instantaneous value of the evaporation low pressure of the unit under test, PL_av represents the average evaporation low pressure pressure, and K represents the confidence factor constant;

[0030] The commercial inspection situation is judged based on the confidence level of the commercial inspection test based on the average refrigerant flow rate, average condensing high pressure and average evaporating low pressure of the tested model.

[0031] Furthermore, judging the commercial inspection situation according to the confidence of the commercial inspection test based on the average refrigerant flow rate, the average condensing high pressure and the average evaporating low pressure of the tested model specifically includes:

[0032] If any confidence level of the average refrigerant flow rate, the average condensing high pressure and the average evaporating low pressure of the tested model for the commercial inspection test is less than the preset threshold, the measurement result is judged to be unqualified.

[0033] Furthermore, the method further comprises:

[0034] Acquire the real-time working data of the tested model, which includes: current working mode, four-way valve status, expansion valve status, compressor status, fan speed and status, working current, voltage, software version, temperature sensor data, and automatic fault reporting of the tested unit.

[0035] Furthermore, commodity inspection judgment also includes:

[0036] If any real-time working data of the tested model exceeds the preset range, or when an automatic fault report is received from the tested model, the tested model is judged to be unqualified.

[0037] Furthermore, the method also includes: real-time monitoring of the data sampling process and the communication process, and if sampling anomalies or communication interruptions occur, reporting faults and issuing warnings.

[0038] The beneficial effects of the present invention are:

[0039] The present invention introduces confidence indicators of refrigerant flow and pressure at the commercial inspection site during the commercial inspection process, and judges the commercial inspection situation based on the confidence of the commercial inspection test according to the average refrigerant flow rate, average condensing high-pressure pressure and average evaporating low-pressure pressure of the tested model, thereby greatly improving the accuracy of batch inspection during the commercial inspection process. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a structural block diagram of a universal intelligent commodity inspection control system provided by an embodiment of the present invention.

[0041] Figure 2 A flow chart of a method for general intelligent commodity inspection control provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 making creative work are within the scope of protection of the present invention.

[0043] The embodiment of the present invention provides a universal intelligent air conditioner commercial inspection system, such as Figure 1 As shown, it mainly includes a host computer, a barcode scanner, a switching power supply module, an MCU (Microcontroller Unit) control module, a serial communication module, an AD sampling module, a relay, an indicator light, a buzzer, a flow meter, and a power monitor.

[0044] Among them, the serial port communication module includes serial port 0, serial port 1, serial port 2, serial port 3 (serial port 3 is not shown in the figure); the relay includes relay 1, relay 2, relay 3; the indicator light includes indicator light 1, indicator light 2, indicator light 3.

[0045] The host computer is mainly responsible for sending control instructions for the commodity inspection process, computing and processing on-site data and logical judgment, as well as storing and displaying the judgment conditions for different product series.

[0046] The barcode scanner is responsible for identifying the different series and specific models to be tested, and automatically calls out the corresponding judgment data group in the system based on this.

[0047] The function of the switching power supply module is to generate the DC power required by MCU, relays and other components from the three-phase AC power supply.

[0048] MCU is used to complete the sampling of field parameters, the transmission of the operating mode, operating parameters and component status of the unit under test, the control of multi-channel serial port communications, the control of output relays, fault judgment and alarm indication, etc.

[0049] The serial communication module includes two sets of serial communication link controls: one is the communication link between the main host computer and multiple slaves (including MCU, power monitor, flow meter, etc.); the other is the communication link between the main MCU and the slave unit under test.

[0050] The AD sampling module is responsible for sampling the high and low pressures, air outlet and air inlet temperatures, and ambient temperature at the commodity inspection site.

[0051] The relay is responsible for controlling the on / off circuits of power monitors, water flow meters, indicator lights, etc.

[0052] Indicator lights and buzzers are used to indicate and alarm judgment results, fault occurrence, circuit connection and disconnection, and communication conditions.

[0053] Commodity inspection control process Figure 2 As shown, including:

[0054] S1. The host computer scans and identifies the model;

[0055] Specifically include: Use a barcode scanner to scan the barcode on the fuselage of the unit to be tested and identify its model-specific value

[0056] S2. The host computer retrieves the threshold data group and constants corresponding to the machine model and issues commodity inspection instructions;

[0057] Specifically, the commodity inspection system calls out the corresponding control parameter array according to the identified model-specific values, and the host computer sends instructions to the MCU through the serial port 0 of the commodity inspection system, including power on and off, operating mode, compressor frequency, fan speed, etc., and informs the model and capacity-specific values ​​of the current unit under test.

[0058] S3, MCU downloads instructions and operating parameters, collects data and determines, and uploads faults;

[0059] Specifically, after receiving the command, the MCU controls the power on and off of the unit under test, and transmits the operation mode, compressor frequency, fan speed and other instructions to the unit under test in the main transmission mode, and then monitors the real-time data and obtains the operation status of the unit under test through serial port 3 according to the communication protocol.

[0060] The MCU communicates with the flow meter through serial port 2 to obtain the instantaneous value F of the on-site refrigerant flow, and uploads it to the host computer through serial port 0.

[0061] The MCU obtains the current indoor temperature, outdoor temperature, unit outlet temperature, air inlet temperature, and instantaneous value P of the condensing (high pressure) pressure of the unit under test through the AD sampling module. H and the instantaneous value of the evaporation (low pressure) pressure P L And upload the data and judgment results to the host computer through serial port 0.

[0062] S4, the unit under test receives the command and runs, uploading data and status;

[0063] S5. The host computer receives the data and performs confidence calculations on the on-site flow and pressure;

[0064] Specifically, the host computer automatically calls out the accurate average refrigerant flow rate F of the model under the working condition in the system according to the identity of the unit under test and the current working condition related data (inner ring temperature and outer ring temperature, etc.) av , average condensation high pressure P H_av, average evaporation low pressure pressure P L_av ;

[0065] Calculate the confidence of the average refrigerant flow rate, the average condensing high pressure and the average evaporating low pressure of the tested model for the commercial inspection test. The calculation formula is as follows:

[0066]

[0067] Where, fx = ABS(F – Fav), phx = ABS(PH – PH_av);

[0068] plx=ABS(PL–PL_av);P Flow (fx) represents the confidence level of the mean refrigerant flow rate for the commodity inspection test, P Press_H (phx) represents the confidence level of the mean condensing high pressure for the commodity inspection test, P Press_L (plx) represents the confidence level of the mean value of the evaporation low pressure for the commercial inspection test, and K represents the confidence factor constant;

[0069] If the confidence of any of the three is less than the threshold PROB_SET, the following steps are skipped and the measurement result is directly judged as "pending retest", and the characteristic value of this item is displayed in red; if and only if all three are greater than PROB_SET, the MCU communicates with the on-site power monitoring instrument through serial port 1 to obtain the phase voltage, line voltage, phase current, power and other data of the on-site three-phase power supply, and uploads it to the host computer through serial port 0.

[0070] During the above process, the MCU will monitor the sampling process and the communication process of UARTA~D in real time. When there is sampling abnormality or communication interruption, it will report it in time and issue fault light and sound warning.

[0071] S6. The host computer judges and displays the real-time data and gives the commodity inspection results.

[0072] Specifically, the host computer judges the commodity inspection results based on the following three types of data.

[0073] (1) Real-time working data of the unit under test of a certain model, including but not limited to: current working mode, status of four-way valve, expansion valve, compressor, fan speed and status, working current, voltage, software version, temperature sensor data, etc.; automatic reporting of faults of the unit under test, such as abnormal water level, abnormal fan, abnormal temperature, overload protection, etc.

[0074] (2) Refrigerant flow, condensing pressure and evaporation pressure confidence display, indoor temperature, and three-phase power supply monitoring data and display;

[0075] (3) The commodity inspection MCU module reports and displays the communication status of UARTA~D and the judgment status of AD sampling. If any of the above three types of data exceeds the preset range, or if the automatic fault and protection report of the unit to be tested is received, "NG" (failed) will be displayed on the screen, the corresponding parameters will be marked in red, and sound and light alarms will be issued.

[0076] The host computer can automatically complete the commodity inspection process control according to the established sequence (for example, heating for a period of time and then cooling for a period of time at a certain compressor frequency and fan speed); or the commodity inspection process can be controlled by manual on-site instructions. No matter which method is used, after the test is completed, the host computer will automatically determine the results of this commodity inspection. The whole process is highly intelligent, convenient and fast.

[0077] The present invention is further described in detail below in conjunction with specific embodiment data.

[0078] Taking the commercial inspection process of a certain brand of 5P three-phase variable frequency chiller outdoor unit as an example, a single-chip microcomputer is used as the main MCU, and two-way communication with the host computer, the tested outdoor unit, flow, pressure, and power monitors is completed through 4-way RS485 serial port communication.

[0079] 1. First, use a barcode scanner to scan the barcode on the external unit to be tested, and identify the specific identity of the 5P three-phase variable frequency external unit. The host computer automatically calls out the corresponding control parameter array according to the current outdoor temperature and indoor temperature conditions, including:

[0080] 1) The commodity inspection process is: first cool for 60 seconds, then heat for 120 seconds;

[0081] 2) During the whole process, the compressor operating frequency is set to 100 Hz and the external fan speed is set to 850 rpm;

[0082] 3) F av 3.522m 3 / h,P H_av 1.902MPa, P L_av 0.615MPa;

[0083] 4) The parameters that the unit under test is required to report include external disk temperature, external ring temperature, economizer inlet and outlet temperature, etc.; four-way valve status, compressor status, fan status, internal and external unit communication status, etc.; compressor current frequency, current current, drive bus voltage, etc.; main electronic expansion valve opening, economizer expansion valve opening, etc.; phase loss and reverse phase judgment, sensor fault judgment, refrigerant quantity judgment, cooling and heating overload judgment, etc.;

[0084] 5) Since the deviation between the measured instantaneous value of flow and pressure and the average value conforms to the normal distribution, in order to simplify the calculation, the deviation between the instantaneous value of a single flow and pressure and the average value can be approximated as the standard normal distribution curve. If the confidence factor K is 2, the confidence of the flow and pressure on the test results is calculated accordingly:

[0085]

[0086]

[0087] If PROB_SET is defined as 95%, when the P calculated during a commodity inspection is Flow , P Press_H , P Press_L If any of the three is lower than this value, it is determined that the commodity inspection needs to be retested, and the feature quantity whose current confidence is lower than the threshold is marked in red.

[0088] 2. The host computer sends instructions to the MCU through the UART0 (1s communication cycle) of the commodity inspection system, including power on and off, operation mode and operation time, compressor frequency, fan speed, etc.

[0089] 3. After receiving the command, the MCU turns on the power of the unit under test, and then transmits the operating mode, compressor frequency, and fan speed to the unit under test in the main transmission mode;

[0090] 4. The external unit under test starts running according to the instruction, and according to the communication protocol, it conducts real-time data monitoring and operation status acquisition of the unit under test through UART1 (800ms cycle) in a question-and-answer manner;

[0091] 5. Through UART2 (1s cycle), MCU communicates with the on-site power monitor via the modbus protocol to obtain data such as phase voltage, line voltage, phase current, power, etc. of the three-phase power supply, and uploads it to the host computer through UART0;

[0092] 6. MCU uses the AD sampling module to collect the current indoor temperature, outdoor temperature, unit air outlet temperature, and air inlet temperature at a sampling period of 500ms, and uploads the data to the host computer through UART0;

[0093] 7. Through UART3 (1s cycle), MCU communicates with the flow meter via the modbus protocol to obtain the instantaneous value of the on-site water flow, total flow and other data, and uploads them to the host computer through UART0;

[0094] 8. In the above process, the host computer receives data, processes algorithms and makes logical judgments, displays them, and finally makes a judgment on the results of this commodity inspection;

[0095] 9. During the above process, MCU will monitor the sampling process and the communication process of UART0~3 in real time. When there is sampling abnormality, communication interruption, or parameter abnormality, the fault light will be turned on and a buzzer alarm will be issued. At the same time, the host computer will also display the abnormal parameter value or fault type.

[0096] In summary, the present invention does not require manual determination of the model being tested, manual call-up of the corresponding test conditions, or manual threshold determination of complex parameters. The detection process can realize automated process control and result determination. By introducing confidence indicators of on-site flow and pressure, the accuracy of batch detection is improved, while solving the universal adaptability of commodity inspection equipment. The system can adapt to the commodity inspection needs of various series and different models, automatically identify the corresponding test parameters and determination conditions by scanning the code, and calculate in real time the confidence of the flow, pressure and other influencing factors on the test results under the test conditions.

[0097] Compared with the existing commodity inspection model, the present invention is efficient, convenient, highly intelligent, and the inspection results are clear at a glance, which greatly improves the work efficiency of the commodity inspection workshop. While improving the inspection accuracy, it also greatly improves the production efficiency.

Claims

1. Universal intelligent commodity inspection control system, characterized by: include: The control module is used to obtain the instantaneous value of the refrigerant flow rate at the commercial inspection site, the current working condition data, the instantaneous value of the condensing high pressure of the unit under test, and the instantaneous value of the evaporating low pressure of the unit under test, and send the obtained relevant data to the host computer; Identification module, used to identify the identity information of the unit under test; The host computer is used to obtain the average refrigerant flow rate, the average condensing high pressure and the average evaporating low pressure of the unit under test according to the identity information and the current working condition data; Calculate the confidence of the average refrigerant flow rate, the average condensing high pressure and the average evaporating low pressure of the tested unit for the commercial inspection test. The calculation formula is as follows: Where, fx = ABS(F – Fav), phx = ABS(PH – PH_av); plx=ABS(PL–PL_av);P Flow (fx) represents the confidence level of the mean refrigerant flow rate for the commercial inspection test, P Press_H (phx) represents the confidence level of the mean condensing high pressure for the commodity inspection test, P Press_L (plx) represents the confidence of the average evaporation low pressure for the commodity inspection test, F represents the instantaneous value of the refrigerant flow rate at the commodity inspection site, Fav represents the average refrigerant flow rate, PH represents the instantaneous value of the condensing high pressure of the unit under test, PH_av represents the average condensing high pressure pressure, PL represents the instantaneous value of the evaporation low pressure of the unit under test, PL_av represents the average evaporation low pressure pressure, and K represents the confidence factor constant; The commercial inspection situation is judged based on the confidence level of the commercial inspection test based on the average refrigerant flow rate, average condensing high pressure and average evaporating low pressure of the tested unit.

2. The universal intelligent commodity inspection control system according to claim 1 is characterized in that: The host computer is specifically used to judge the commercial inspection situation. If any confidence level of the commercial inspection test of the refrigerant flow average, condensing high pressure average and evaporating low pressure average of the tested unit is less than a preset threshold, the measurement result is judged to be unqualified.

3. The universal intelligent commodity inspection control system according to claim 1 is characterized in that: The control module is also used to obtain real-time working data of the unit under test, and the real-time working data includes: current working mode, four-way valve status, expansion valve status, compressor status, fan speed and status, working current, voltage, software version, temperature sensor data, and automatic fault reporting of the unit under test.

4. The universal intelligent commodity inspection control system according to claim 3 is characterized in that: The host computer is specifically used to judge the commodity inspection situation. If any real-time working data of the tested unit exceeds a preset range, or when an automatic fault report of the tested unit is received, the tested unit is judged to be unqualified.

5. The universal intelligent commodity inspection control system according to claim 1 is characterized in that: The control module is also used to monitor the data sampling process and the communication process in real time, and report the fault and issue a warning if sampling anomalies or communication interruptions occur.

6. A general intelligent commodity inspection control method, applied to the general intelligent commodity inspection control system as claimed in any one of claims 1 to 5, characterized in that: include: Obtain the instantaneous value of the refrigerant flow rate, current working condition data, the instantaneous value of the condensing high pressure of the unit under test, and the instantaneous value of the evaporating low pressure of the unit under test at the commercial inspection site, and send the obtained relevant data to the host computer; Identify the identity information of the unit under test; According to the identity information and the current working condition data, the average refrigerant flow rate, the average condensing high pressure and the average evaporating low pressure of the unit under test are obtained; Calculate the confidence of the average refrigerant flow rate, the average condensing high pressure and the average evaporating low pressure of the tested unit for the commercial inspection test. The calculation formula is as follows: Where, fx = ABS(F – Fav), phx = ABS(PH – PH_av); plx=ABS(PL–PL_av);P Flow (fx) represents the confidence level of the mean refrigerant flow rate for the commercial inspection test, P Press_H (phx) represents the confidence level of the mean condensing high pressure for the commodity inspection test, P Press_L (plx) represents the confidence of the average evaporation low pressure for the commodity inspection test, F represents the instantaneous value of the refrigerant flow rate at the commodity inspection site, Fav represents the average refrigerant flow rate, PH represents the instantaneous value of the condensing high pressure of the unit under test, PH_av represents the average condensing high pressure pressure, PL represents the instantaneous value of the evaporation low pressure of the unit under test, PL_av represents the average evaporation low pressure pressure, and K represents the confidence factor constant; The commercial inspection situation is judged based on the confidence level of the commercial inspection test based on the average refrigerant flow rate, average condensing high pressure and average evaporating low pressure of the tested unit.

7. The universal intelligent commodity inspection control method according to claim 6, characterized in that: The determination of the commercial inspection situation based on the confidence of the commercial inspection test according to the average refrigerant flow rate, the average condensing high pressure pressure and the average evaporating low pressure pressure of the tested unit specifically includes: If any confidence level of the average refrigerant flow rate, the average condensing high pressure and the average evaporating low pressure of the tested unit for the commercial inspection test is less than the preset threshold, the measurement result is judged to be unqualified.

8. The universal intelligent commodity inspection control method according to claim 6, characterized in that: The method further includes: Acquire the real-time working data of the unit under test, which includes: current working mode, four-way valve status, expansion valve status, compressor status, fan speed and status, working current, voltage, software version, temperature sensor data, and automatic fault reporting of the unit under test.

9. The universal intelligent commodity inspection control method according to claim 8, characterized in that: The commodity inspection judgment also includes: If any real-time working data of the tested unit exceeds the preset range, or when an automatic fault report of the tested unit is received, the tested unit is judged to be unqualified.

10. The universal intelligent commodity inspection control method according to claim 6, characterized in that: The method also includes: real-time monitoring of the data sampling process and the communication process, and if sampling anomalies or communication interruptions occur, reporting faults and issuing warnings.

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