Method and system for detecting aging of a refrigeration appliance

Abstract

The application relates to the technical field of detection equipment, and discloses an aging detection method and a detection system of a refrigeration equipment, the refrigeration equipment comprising a compressor, the aging detection method of the refrigeration equipment comprising the following steps: determining a target temperature of the refrigeration equipment; acquiring a current temperature of the refrigeration equipment once every fixed time interval; when the current temperature is greater than or equal to a first preset temperature, starting the compressor and automatically recording the current temperature and a temperature recovery time consumption of the refrigeration equipment; when the current temperature is less than or equal to a second preset temperature, stopping the compressor and automatically recording the current temperature and a refrigeration time consumption of the refrigeration equipment; and recording the number of times of starting the compressor within a preset time. The application can automatically record the current temperature and the temperature recovery time and the refrigeration time consumption of the refrigeration equipment, and automatically judge whether the refrigeration equipment is aging according to preset conditions, so that the convenience and accuracy of the aging detection of the refrigeration equipment are improved.

Description

Aging testing methods and systems for refrigeration equipment Technical Field

[0001] This application relates to the field of testing equipment technology, and in particular to an aging testing method and testing system for refrigeration equipment. Background Technology

[0002] The main signs of aging in refrigeration equipment are a decrease in its cooling capacity and a slowdown in the cooling rate. To ensure that the refrigeration equipment maintains its normal cooling capacity, aging tests are conducted at the factory to verify its cooling efficiency.

[0003] Currently, conventional aging tests for refrigeration equipment involve periodically turning the compressor on and off and manually recording the internal temperature data using temperature measuring instruments to assess the refrigeration efficiency. However, this technology is labor-intensive, inefficient, and the frequent switching on and off of the refrigeration equipment can compromise its airtightness, leading to inaccurate sample data. Summary of the Invention

[0004] This application provides an aging detection method and system for refrigeration equipment. By automatically recording the current temperature, temperature recovery, and refrigeration time of the refrigeration equipment, and automatically determining whether the refrigeration equipment is aging based on preset conditions, the convenience and accuracy of aging detection of refrigeration equipment are improved.

[0005] The embodiments of this application provide the following technical solutions:

[0006] In a first aspect, embodiments of this application provide an aging detection method for a refrigeration device, the refrigeration device including a compressor, the aging detection method for the refrigeration device including:

[0007] Determine the target temperature for the refrigeration equipment;

[0008] The current temperature of the refrigeration equipment is obtained at fixed time intervals.

[0009] When the current temperature is greater than or equal to the first preset temperature, the compressor is turned on and the current temperature and the time taken for the refrigeration equipment to recover to the desired temperature are automatically recorded; when the current temperature is less than or equal to the second preset temperature, the compressor is turned off and the current temperature and the time taken for the refrigeration equipment to cool are automatically recorded.

[0010] Record the number of times the compressor is turned on within a preset time period;

[0011] Based on the temperature recovery time and cooling time of the refrigeration equipment recorded within a preset time period, calculate the mean square error of the temperature recovery time and the mean square error of the cooling time of the refrigeration equipment.

[0012] If the refrigeration equipment meets the preset conditions, then the aging test result of the refrigeration equipment is determined to be passed;

[0013] If the refrigeration equipment does not meet the preset conditions, the aging test result of the refrigeration equipment is determined to be unsuccessful.

[0014] The preset conditions include: the number of times the compressor is turned on within a preset time meets the first preset condition; the mean square error of the temperature recovery time of the refrigeration equipment meets the second preset condition; and the mean square error of the cooling time of the refrigeration equipment meets the third preset condition.

[0015] In some embodiments, calculating the root mean square error of the cooling time of the refrigeration equipment includes:

[0016]

[0017] Where a is the root mean square error of cooling time, xn is the nth cooling time reported by the device, and u is the average cooling time.

[0018] In some embodiments, calculating the root mean square error of the reheating time of the refrigeration equipment includes:

[0019]

[0020] Where b is the root mean square error of the reheating time, yn is the nth reheating time reported by the device, and p is the average of the reheating times.

[0021] In some embodiments, the cooling time of the refrigeration device is the time required for the refrigeration device to drop from the current temperature to the target temperature;

[0022] The temperature recovery time of a refrigeration device is the time required for the refrigeration device to rise from its current temperature to the target temperature.

[0023] In some embodiments, the aging test method for the refrigeration equipment is applied to an aging test equipment, which includes a temperature sensing unit and a thermistor installed in the aging test equipment. The resistance of the thermistor changes with the temperature of the refrigeration equipment. The temperature sensing unit obtains the current temperature of the refrigeration equipment by detecting the resistance across the thermistor.

[0024] In some embodiments, the aging test method for the refrigeration equipment is applied to an aging test equipment, which includes an IoT networking module and a smart terminal. Before starting the aging test, the method further includes:

[0025] The smart terminal sends a request to the cloud server through a preset communication protocol. After receiving the request from the smart terminal, the cloud server sends an instruction to the IoT network module to start aging detection.

[0026] After receiving instructions from the cloud server, the IoT networking module detects the current temperature and sends start / stop commands to the compressor via serial communication protocol based on the current temperature.

[0027] In some embodiments, the aging detection method for the refrigeration equipment is applied to a smart terminal, the smart terminal being communicatively connected to a cloud server, and the method includes:

[0028] Scan the serial number of the refrigeration equipment;

[0029] An aging detection request is sent to the cloud server via a preset communication protocol.

[0030] In some embodiments, the aging detection method for the refrigeration equipment is applied to a cloud server, and the method includes:

[0031] Receive the number of times the compressor is turned on within a preset time, the time it takes for the refrigeration equipment to recover its temperature, and the time it takes for the refrigeration equipment to cool down, all uploaded from the IoT network module.

[0032] The root mean square error of the reheating time and the root mean square error of the cooling time of the refrigeration equipment are calculated, and data analysis is performed according to preset conditions to obtain the aging test results.

[0033] Secondly, embodiments of this application provide a detection system, which includes an IoT networking module, a compressor, and a cloud server, comprising:

[0034] The IoT networking module is used to control the compressor to turn on or off. The IoT networking module includes an Android device, an industrial control device, and a temperature sensing unit.

[0035] Android devices are used to receive data sent by industrial control devices and / or temperature sensing units;

[0036] Industrial control devices are used to upload temperature data, compressor start-up times, refrigeration time of refrigeration equipment, and reheating time of refrigeration equipment to Android devices.

[0037] The temperature sensing unit is used to acquire temperature data from the refrigeration equipment.

[0038] In some embodiments, the cloud server converts the data received from the IoT networking module into a corresponding chart and transmits the chart to the smart terminal.

[0039] The beneficial effects of the embodiments of this application are as follows: Unlike the prior art, the embodiments of this application provide an aging detection method for a refrigeration device. The refrigeration device includes a compressor. The aging detection method includes: determining a target temperature for the refrigeration device; acquiring the current temperature of the refrigeration device at fixed time intervals; when the current temperature is greater than or equal to a first preset temperature, turning on the compressor and automatically recording the current temperature and the time taken for the refrigeration device to recover its temperature; when the current temperature is less than or equal to a second preset temperature, turning off the compressor and automatically recording the current temperature and the time taken for the refrigeration device to cool; recording the number of times the compressor is turned on within a preset time period; calculating the root mean square error of the recovery time and the root mean square error of the cooling time based on the recorded recovery time and cooling time within the preset time period; if the refrigeration device meets preset conditions, the aging detection result of the refrigeration device is determined to be passed; if the refrigeration device does not meet the preset conditions, the aging detection result of the refrigeration device is determined to be failed; wherein the preset conditions include: the number of times the compressor is turned on within the preset time period meets the first preset condition; the root mean square error of the recovery time of the refrigeration device meets the second preset condition; and the root mean square error of the cooling time of the refrigeration device meets the third preset condition.

[0040] This application can automatically record the current temperature and temperature recovery of the refrigeration equipment, as well as the refrigeration time, and automatically determine whether the refrigeration equipment is aging based on preset conditions, thereby improving the convenience and accuracy of refrigeration equipment aging detection. Attached Figure Description

[0041] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0042] Figure 1 is a schematic diagram of an application environment provided in an embodiment of this application;

[0043] Figure 2 is a flowchart illustrating an aging test method for a refrigeration device provided in an embodiment of this application;

[0044] Figure 3 is a schematic diagram of a thermistor temperature measurement circuit provided in an embodiment of this application;

[0045] Figure 4 is a schematic flowchart of a method for calculating the root mean square error of cooling time of a refrigeration device according to an embodiment of this application;

[0046] Figure 5 is a flowchart illustrating the calculation of the root mean square error of the reheating time of a refrigeration device according to an embodiment of this application.

[0047] Figure 6 is a schematic diagram of a process for obtaining the current temperature of a refrigeration device in an aging detection device according to an embodiment of this application;

[0048] Figure 7 is a flowchart illustrating an aging test method for a refrigeration device applied to an aging test equipment according to an embodiment of this application;

[0049] Figure 8 is a flowchart illustrating an aging detection method for a cooling device applied to a smart terminal, provided in an embodiment of this application.

[0050] Figure 9 is a flowchart illustrating an aging detection method for a cooling device applied to a cloud server, according to an embodiment of this application.

[0051] Figure 10 is a schematic diagram of the structure of a detection system provided in an embodiment of this application;

[0052] Figure 11 is a schematic diagram of temperature statistics provided in an embodiment of this application;

[0053] Figure 12 is a schematic diagram of the structure of an aging detection device for a refrigeration equipment provided in an embodiment of this application;

[0054] Figure 13 is a schematic diagram of the structure of an aging detection device provided in an embodiment of this application.

[0055] Explanation of icon numbers:

[0056] Detailed Implementation

[0057] To facilitate understanding of this application, a more detailed description is provided below with reference to the accompanying drawings and specific embodiments. It should be noted that when an element is described as "fixed to" another element, it can be directly on the other element, or one or more intermediate elements may exist between them. When an element is described as "connected to" another element, it can be directly connected to the other element, or one or more intermediate elements may exist between them. The terms "vertical," "horizontal," "left," "right," and similar expressions used in this specification are for illustrative purposes only.

[0058] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the scope of this application. The term "and / or" as used in this specification includes any and all combinations of one or more of the associated listed items.

[0059] The technical solution of this application is described in detail below with reference to the accompanying drawings:

[0060] Please refer to Figure 1, which is a schematic diagram of an application environment provided by an embodiment of this application;

[0061] As shown in Figure 1, the application environment 100 includes: an aging detection device 10, a cooling device 20, a cloud server 30, and a smart terminal 40. The aging detection device 10 and the cooling device 20 are connected via network communication; the cooling device 20 and the cloud server 30 are connected via network communication; and the cloud server 30 and the smart terminal 40 are connected via network communication. This network includes wired and / or wireless networks. It can be understood that the network includes wireless networks such as 2G, 3G, 4G, 5G, Wi-Fi, and Bluetooth, and may also include wired networks such as serial cables and Ethernet cables.

[0062] In this embodiment of the application, the aging detection device 10 includes a temperature sensing unit, a communication module, and a controller.

[0063] In this embodiment, the temperature sensing unit includes one or more temperature sensors. The temperature sensing unit detects the temperature inside the refrigeration device 20 and converts it into a usable output signal, which is then transmitted to the controller. In this embodiment, the temperature sensor includes, but is not limited to, thermocouple sensors, thermistor sensors, resistance temperature detectors, and IC temperature sensors; preferably, the temperature sensor is a thermistor sensor.

[0064] In this embodiment, the communication module is connected to a cloud server and is used to receive instructions sent by the cloud server, such as instructions to start / stop aging detection; or to send data to the cloud server, such as data on the internal temperature measurement of the refrigeration equipment. In this embodiment, the communication module can communicate with the Internet, and includes, but is not limited to, communication units such as a WIFI module, ZigBee module, NB-IoT module, 4G module, 5G module, and Bluetooth module.

[0065] In this embodiment, the controller is located inside the aging test equipment and is communicatively connected to the temperature sensing unit and the communication module. As the control core of the aging test equipment, the controller is used to control the aging test equipment to start / stop aging testing, control the temperature sensing unit to measure the internal temperature of the refrigeration equipment, and perform some business logic processing. For example, the controller is used to obtain the current temperature of the refrigeration equipment; when the current temperature is greater than or equal to a first preset temperature, the refrigeration equipment is turned on, and the current temperature and the time taken for the refrigeration equipment to recover to its original temperature are automatically recorded; when the current temperature is less than or equal to a second preset temperature, the compressor is turned off, and the current temperature and the cooling time taken for the refrigeration equipment are automatically recorded.

[0066] In the embodiments of this application, the controller can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), a microcontroller, an ARM (Acorn RISC Machine) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of these components. The controller can also be any conventional processor, controller, microcontroller, or state machine. The controller can also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors combined with a DSP and / or any other such configuration, or one or more combinations of a microcontroller unit (MCU), a field-programmable gate array (FPGA), and a system-on-chip (SoC).

[0067] It is understood that the aging detection device 10 in this application embodiment also includes a storage module, which includes, but is not limited to, one or more of the following devices: FLASH flash memory, NAND flash memory, vertical NAND flash memory (VNAND), NOR flash memory, resistive random access memory (RRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), spin-transfer torque random access memory (STT-RAM).

[0068] In this embodiment, the cloud server 20 is communicatively connected to the aging detection device 10 and the smart terminal 40. It is used to receive a request from the smart terminal 40 to start aging detection, or to send control commands to the aging detection device 10. For example, after receiving the request from the smart terminal, the cloud server sends a start aging detection command to the aging detection device. The cloud server 20 can also be used to convert data received from the aging detection device into corresponding charts and transmit the charts to the smart terminal. There can be multiple servers 20, which can form a server cluster. For example, the server cluster may include a first server, a second server, ..., an Nth server; or, the server cluster may be a cloud computing service center comprising several servers. The servers in this embodiment include, but are not limited to, tower servers, rack servers, blade servers, and cloud servers. Preferably, the server is a cloud server (Elastic Compute Service, ECS).

[0069] In this embodiment, the refrigeration device 30 is communicatively connected to the aging detection device 10. As the detection object of the aging detection device, its refrigeration performance needs to be tested to determine whether aging has occurred. The refrigeration device includes a compressor, which is used to respond to the command to start / stop aging detection sent by the cloud server, and to start / stop the compressor according to preset conditions. The refrigeration device in this embodiment includes, but is not limited to, compression refrigeration device, absorption refrigeration device, steam jet refrigeration device, heat pump refrigeration device, and electric heating refrigeration device.

[0070] In this embodiment, the smart terminal 40 is communicatively connected to the cloud server 20 and is used to scan the serial number of the cooling device 30, or to initiate a request to the cloud server 20 through a preset communication protocol. There are multiple smart terminals 40, including but not limited to: landline telephones, mobile communication devices, mobile personal computer devices, or other electronic devices with internet access capabilities.

[0071] Please refer to Figure 2, which is a flowchart illustrating an aging test method for a refrigeration device provided in an embodiment of this application;

[0072] Specifically, the aging test method for the refrigeration equipment is executed by one or more processors of the aging test equipment, and the refrigeration equipment includes a compressor.

[0073] As shown in Figure 2, the aging test method for this refrigeration equipment includes:

[0074] Step S201: Determine the target temperature of the refrigeration equipment;

[0075] Specifically, the target temperature of the refrigeration equipment is set according to actual needs. For example, the target temperature of the refrigeration equipment can be set to 10℃. The target temperature of the refrigeration equipment is used as the standard for the refrigeration equipment's temperature recovery and cooling. When the temperature of the refrigeration equipment rises from the current temperature to the target temperature, the process is called temperature recovery, and the duration of the process is called temperature recovery time. When the temperature of the refrigeration equipment drops from the current temperature to the target temperature, the process is called cooling, and the duration of the process is called cooling time.

[0076] Step S202: Obtain the current temperature of the refrigeration equipment at fixed time intervals;

[0077] Please refer to Figure 3 again. Figure 3 is a schematic diagram of a thermistor temperature measurement circuit provided in an embodiment of this application.

[0078] As shown in Figure 3, the thermistor temperature measurement circuit consists of a power supply, two fixed resistors, two capacitors, and an NTC resistor. The NTC resistor is a thermistor with a negative temperature coefficient whose resistance decreases exponentially with increasing temperature. By detecting the resistance value across the NTC resistor using this thermistor temperature measurement circuit, the current temperature of the refrigeration equipment can be obtained by referring to Table 1 based on the resistance value across the NTC resistor.

[0079]

[0080]

[0081] Table 1

[0082] Specifically, a fixed time is set, and the current temperature of the refrigeration equipment is obtained through an aging test device at fixed time intervals. For example, the fixed time is set to 10 minutes, and the current temperature of the refrigeration equipment is obtained through an aging test device every 10 minutes.

[0083] Step S203: When the current temperature is greater than or equal to the first preset temperature, turn on the compressor and automatically record the current temperature and the time taken for the refrigeration equipment to recover its temperature; when the current temperature is less than or equal to the second preset temperature, turn off the compressor and automatically record the current temperature and the time taken for the refrigeration equipment to cool down.

[0084] Specifically, based on actual needs, a first preset temperature and a second preset temperature are set, where the first preset temperature is higher than the target temperature and the second preset temperature is lower than the target temperature. When the current temperature is greater than or equal to the first preset temperature, the compressor is turned on, and the current temperature and the time taken for the refrigeration equipment to recover to the target temperature are automatically recorded. When the current temperature is less than or equal to the second preset temperature, the compressor is turned off, and the current temperature and the time taken for the refrigeration equipment to cool down are automatically recorded. The process of the refrigeration equipment rising from the current temperature to the target temperature is called recovery, and the duration of this process is called recovery time. The process of the refrigeration equipment falling from the current temperature to the target temperature is called cooling, and the duration of this process is called cooling time. For example, if the target temperature is 10℃, the first preset temperature is set to 12℃, and the second preset temperature is set to 8℃. The cooling time is the time taken for the current temperature to fall from the current temperature to 10℃ when it is greater than or equal to 12℃; the recovery time is the time taken for the current temperature to rise from the current temperature to 10℃ when it is less than or equal to 8℃.

[0085] Step S204: Record the number of times the compressor is turned on within a preset time period;

[0086] Specifically, a preset time is set according to actual needs. This preset time is the total duration of the aging test. For example, the preset time can be set to 24 hours. The number of times the compressor is turned on within the preset time is recorded. This number of times the compressor is turned on is used as one of the criteria for judging whether the refrigeration equipment has aged.

[0087] Step S204: Based on the temperature recovery time and cooling time of the refrigeration equipment recorded within a preset time, calculate the root mean square error of the temperature recovery time and the root mean square error of the cooling time.

[0088] Please refer to Figure 4 again. Figure 4 is a flowchart illustrating the calculation of the root mean square error of the cooling time of a refrigeration device according to an embodiment of this application.

[0089] As shown in Figure 4, the standard deviation of the cooling time of the refrigeration equipment is calculated, including:

[0090]

[0091] Where a is the root mean square error of cooling time, xn is the nth cooling time reported by the device, and u is the average cooling time.

[0092] Please refer to Figure 5 again. Figure 5 is a flowchart illustrating the calculation of the root mean square error of the reheating time of a refrigeration device according to an embodiment of this application.

[0093] As shown in Figure 5, the root mean square error of the temperature recovery time of the refrigeration equipment is calculated, including:

[0094]

[0095] Where b is the root mean square error of the reheating time, yn is the nth reheating time reported by the device, and p is the average of the reheating times.

[0096] Specifically, based on multiple data points on the reheating time and cooling time of the refrigeration equipment recorded within a preset time period, the root mean square error of the reheating time and the root mean square error of the cooling time are calculated. These root mean square errors are used as one of the criteria for subsequently judging whether the refrigeration equipment has aged.

[0097] Step S205: If the refrigeration equipment meets the preset conditions, then the aging test result of the refrigeration equipment is determined to be passed;

[0098] Specifically, the preset conditions include: the number of times the compressor is turned on within a preset time meets the first preset condition; the root mean square error of the temperature recovery time of the refrigeration equipment meets the second preset condition; and the root mean square error of the cooling time of the refrigeration equipment meets the third preset condition. If the refrigeration equipment meets all of the above preset conditions, the aging test result of the refrigeration equipment is determined to be passed.

[0099] In this application embodiment, the first preset condition is: the number of times the compressor is turned on within a preset time is greater than or equal to 24 times; the second preset condition is: the root mean square error a of the cooling time of the refrigeration equipment is less than 10; the third preset condition is: the root mean square error b of the temperature recovery time of the refrigeration equipment is less than 10.

[0100] Step S206: If the refrigeration equipment does not meet the preset conditions, the aging test result of the refrigeration equipment is determined to be unsuccessful;

[0101] Specifically, if the refrigeration equipment does not meet any of the above preset conditions, the aging test result of the refrigeration equipment is determined to be unsuccessful, that is, the refrigeration equipment has aged.

[0102] In this embodiment, an aging detection method for a refrigeration device is provided. The refrigeration device includes a compressor. The method includes: determining a target temperature for the refrigeration device; acquiring the current temperature of the refrigeration device at fixed time intervals; when the current temperature is greater than or equal to a first preset temperature, turning on the compressor and automatically recording the current temperature and the time taken for the refrigeration device to recover its temperature; when the current temperature is less than or equal to a second preset temperature, turning off the compressor and automatically recording the current temperature and the time taken for the refrigeration device to cool down; recording the number of times the compressor is turned on within a preset time period; and calculating the root mean square error of the recovery time of the refrigeration device based on the recorded recovery time and cooling time within the preset time period. The aging test result of the refrigeration equipment is determined to be passed if the refrigeration equipment meets the preset conditions; if the refrigeration equipment does not meet the preset conditions, the aging test result of the refrigeration equipment is determined to be failed. The preset conditions include: the number of times the compressor is turned on within a preset time meets the first preset condition; the mean square error of the temperature recovery time of the refrigeration equipment meets the second preset condition; and the mean square error of the cooling time of the refrigeration equipment meets the third preset condition. This application can automatically record the current temperature, temperature recovery, and cooling time of the refrigeration equipment, and automatically determine whether the refrigeration equipment is aging based on the preset conditions, thereby improving the convenience and accuracy of aging test of refrigeration equipment.

[0103] Please refer to Figure 6 again. Figure 6 is a schematic diagram of a process for obtaining the current temperature of a refrigeration device in an aging detection device according to an embodiment of this application.

[0104] As shown in Figure 6, the method for obtaining the current temperature of the refrigeration equipment used in aging testing equipment includes:

[0105] Step S601: The temperature sensing unit obtains the current temperature of the refrigeration equipment by detecting the resistance across the thermistor;

[0106] Specifically, the aging test equipment includes a temperature sensing unit, which contains a thermistor. The resistance of the thermistor changes with the temperature of the refrigeration equipment. The temperature sensing unit obtains the current temperature of the refrigeration equipment by detecting the resistance across the thermistor.

[0107] Please refer to Figure 7 again. Figure 7 is a flowchart illustrating an aging test method for a refrigeration device applied to an aging test equipment, provided in an embodiment of this application.

[0108] As shown in Figure 7, the aging test method for refrigeration equipment applied to aging test equipment includes:

[0109] Step S701: The smart terminal sends a request to the cloud server through a preset communication protocol. After receiving the request from the smart terminal, the cloud server sends a command to the IoT network module to start aging detection.

[0110] Specifically, the aging test equipment includes an IoT network module and a smart terminal. Before starting the aging test, the smart terminal sends a request to the cloud server to start the aging test through a preset HTTP communication protocol. After receiving the request from the smart terminal, the cloud server sends a command to the IoT network module to start the aging test.

[0111] Step S702: After receiving the instruction from the cloud server, the IoT network module detects the current temperature and sends a start / stop instruction to the compressor via the serial communication protocol according to the current temperature.

[0112] Specifically, after receiving instructions from the cloud server, the IoT networking module detects the current temperature of the refrigeration equipment and sends start / stop commands to the compressor of the refrigeration equipment via a serial communication protocol based on the current temperature. In this embodiment, the compressor start command is: A5 01 00 01 01 00 01 01 00 00 00 00 00A8 5A, and the compressor stop command is: A5 01 00 00 00 00 01 01 00 00 00 00 00A8 5A.

[0113] In this embodiment, an aging detection method for refrigeration equipment is provided, applied to an aging detection device. The aging detection device includes a temperature sensing unit, an IoT networking module, and a smart terminal. The method includes: the smart terminal initiating a request to a cloud server through a preset communication protocol; after receiving the request from the smart terminal, the cloud server sends a start aging detection command to the IoT networking module; after receiving the command from the cloud server, the IoT networking module detects the current temperature and sends an start / stop command to the compressor through a serial communication protocol based on the current temperature. This application can control the start / stop of the compressor through the interaction between the temperature sensing unit, the IoT networking module, and the smart terminal, so as to facilitate real-time measurement of the current temperature of the refrigeration equipment and improve the convenience and accuracy of aging detection of the refrigeration equipment.

[0114] Please refer to Figure 8 again. Figure 8 is a flowchart illustrating an aging detection method for a cooling device applied to a smart terminal, provided by an embodiment of this application.

[0115] As shown in Figure 8, the aging test method for cooling equipment applied to smart terminals includes:

[0116] Step S801: Scan the serial number of the refrigeration equipment;

[0117] Specifically, each refrigeration device has its own product serial number. By scanning the product serial number of the refrigeration device with a smart terminal, the product information of the refrigeration device can be obtained, so as to facilitate subsequent aging tests on the refrigeration device.

[0118] Step S802: Initiate an aging detection request to the cloud server through a preset communication protocol;

[0119] Specifically, after scanning the product serial number of the refrigeration equipment, the smart terminal initiates an aging detection request to the cloud server through a preset HTTP communication protocol.

[0120] In this embodiment, an aging detection method for refrigeration equipment is provided and applied to a smart terminal. The smart terminal is communicatively connected to a cloud server. The method includes: scanning the serial number of the refrigeration equipment; and initiating an aging detection request to the cloud server through a preset communication protocol. This application can simultaneously or sequentially detect multiple refrigeration equipment by scanning the serial number of the refrigeration equipment and initiating an aging detection request to the cloud server, thereby improving the efficiency of aging detection for refrigeration equipment.

[0121] Please refer to Figure 9 again. Figure 9 is a flowchart illustrating an aging detection method for a cooling device applied to a cloud server, provided in an embodiment of this application.

[0122] As shown in Figure 9, the aging test method for cooling equipment applied to cloud servers includes:

[0123] Step S901: Receive the number of times the compressor is turned on within a preset time, the time it takes for the refrigeration equipment to recover its temperature, and the time it takes for the refrigeration equipment to cool down, uploaded from the IoT network module;

[0124] Specifically, it receives data from the IoT network module, including the number of times the compressor is turned on within a preset time period, the time it takes for the refrigeration equipment to regain its temperature, and the refrigeration time it takes for the refrigeration equipment to cool down.

[0125] Step S902: Calculate the root mean square error of the reheating time of the refrigeration equipment and the root mean square error of the refrigeration time of the refrigeration equipment, and perform data analysis according to preset conditions to obtain the aging test results.

[0126] Specifically, the cloud server calculates the mean square error of the reheating time and the mean square error of the cooling time of the refrigeration equipment based on the preset formulas for the mean square error of the reheating time and the cooling time of the refrigeration equipment, and performs data analysis according to preset conditions to determine whether the refrigeration equipment has aged, thereby obtaining the aging test results.

[0127] In this embodiment, an aging detection method for refrigeration equipment is provided and applied to a cloud server. The method includes: receiving data uploaded from an IoT network module, such as the number of times the compressor is turned on within a preset time, the temperature recovery time of the refrigeration equipment, and the cooling time of the refrigeration equipment; calculating the root mean square error of the temperature recovery time and the root mean square error of the cooling time of the refrigeration equipment; and performing data analysis according to preset conditions to obtain aging detection results. This application can improve the convenience and accuracy of aging detection for refrigeration equipment by automatically recording the current temperature, temperature recovery time, and cooling time of the refrigeration equipment, calculating the root mean square error of the temperature recovery time and the root mean square error of the cooling time of the refrigeration equipment, and performing data analysis according to preset conditions.

[0128] Please refer to Figure 10 again. Figure 10 is a schematic diagram of the structure of a detection system provided in an embodiment of this application.

[0129] As shown in Figure 10, the detection system includes:

[0130] The IoT networking module 1100 is used to control the compressor to turn on or off. The IoT networking module includes an Android device, an industrial control device, and a temperature sensing unit.

[0131] Android device 1101 is used to receive data sent by industrial control devices and / or temperature sensing units;

[0132] The industrial control device 1102 is used to upload temperature data, the number of times the compressor is turned on, the cooling time of the refrigeration equipment, and the temperature recovery time of the refrigeration equipment to the Android device.

[0133] Temperature sensing unit 1103 is used to acquire temperature data of refrigeration equipment.

[0134] The cloud server 1104 is used to convert data received from the IoT network module into corresponding charts and transmit the charts to the smart terminal.

[0135] The smart terminal 1105 is used to convert data received from the IoT network module into corresponding charts and transmit the charts to the smart terminal.

[0136] In this embodiment of the application, the IoT networking module 1100 is specifically used for:

[0137] Controls the compressor to turn on or off;

[0138] The system obtains the current temperature of the refrigeration equipment, the number of times the compressor is turned on within a preset time, the time it takes for the refrigeration equipment to recover its temperature, and the refrigeration time.

[0139] The current temperature of the refrigeration equipment, the number of times the compressor is turned on within a preset time, the time it takes for the refrigeration equipment to recover its temperature, and the refrigeration time are reported to the cloud server.

[0140] In this embodiment of the application, the Android device 1101 is specifically used for:

[0141] Android devices connect to the Internet via 4G wireless communication and provide data interaction for IoT networking modules through switches in industrial control devices, uploading data to cloud servers;

[0142] Android devices communicate with industrial control devices via the RS232 standard interface to receive temperature detection data from the refrigeration equipment.

[0143] In this embodiment of the application, the industrial control device 1102 is specifically used for:

[0144] Industrial control devices receive instructions from Android devices and control the operation of components such as compressors.

[0145] Upload temperature data, compressor start-up times, cooling time of the refrigeration equipment, and reheating time of the refrigeration equipment to the Android device.

[0146] In this embodiment of the application, the temperature sensing unit 1103 is specifically used for:

[0147] The acquired temperature data from the refrigeration equipment is sent to the IoT network module.

[0148] In this embodiment of the application, the cloud server 1104 is specifically used for:

[0149] Receive data from the IoT network module, such as the current temperature of the refrigeration equipment, the number of times the compressor is turned on within a preset time, the time it takes for the refrigeration equipment to recover its temperature, and the time it takes to cool down.

[0150] The data is converted into corresponding charts, and the charts are then transmitted to smart terminals.

[0151] Please refer to Figure 11 again. Figure 11 is a schematic diagram of temperature statistics provided in an embodiment of this application.

[0152] As shown in Figure 11, this temperature statistics diagram is a chart generated by the cloud server based on data received from the IoT network module. The horizontal axis of this temperature statistics diagram represents the specific time of temperature measurement, and the vertical axis represents the temperature.

[0153] In this embodiment of the application, the smart terminal 1005 is specifically used for:

[0154] Receive and display charts sent from a cloud server.

[0155] Please refer to Figure 12 again. Figure 12 is a structural schematic diagram of an aging detection device for a refrigeration equipment provided in an embodiment of this application.

[0156] The aging detection device for the refrigeration equipment is applied to one or more processors of the refrigeration equipment.

[0157] As shown in Figure 12, the aging detection device 120 of the refrigeration equipment includes:

[0158] Temperature acquisition unit 121 is used to determine the target temperature of the refrigeration equipment and acquire the current temperature of the refrigeration equipment at fixed time intervals.

[0159] The compressor control unit 122 is used to turn on the compressor when the current temperature is greater than or equal to the first preset temperature, and automatically record the current temperature and the time it takes for the refrigeration equipment to recover its temperature; when the current temperature is less than or equal to the second preset temperature, the compressor is turned off, and automatically record the current temperature and the time it takes for the refrigeration equipment to cool; and to record the number of times the compressor is turned on within a preset time.

[0160] The data recording unit 123 is used to calculate the mean square error of the temperature recovery time and the mean square error of the cooling time of the refrigeration equipment based on the temperature recovery time and cooling time of the refrigeration equipment recorded within a preset time.

[0161] The aging judgment unit 124 is used to determine that the aging test result of the refrigeration equipment is passed if the refrigeration equipment meets the preset conditions, and to determine that the aging test result of the refrigeration equipment is failed if the refrigeration equipment does not meet the preset conditions.

[0162] In this embodiment, the aging detection device for the refrigeration equipment can also be constructed from hardware components. For example, the aging detection device for the refrigeration equipment can be constructed from one or more chips, and the chips can work in coordination to complete the aging detection method for the refrigeration equipment described in the above embodiments. Furthermore, the aging detection device for the refrigeration equipment can also be constructed from various logic devices, such as general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), microcontrollers, ARM (Acorn RISC Machine) or other programmable logic devices, discrete gate or transistor logic, discrete hardware components, or any combination of these components.

[0163] The aging detection device for the refrigeration equipment in this application embodiment can be a device, or it can be a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. For example, mobile electronic devices can be mobile phones, tablets, laptops, PDAs, in-vehicle electronic devices, wearable devices, ultra-mobile personal computers (UMPCs), netbooks, or personal digital assistants (PDAs), etc., while non-mobile electronic devices can be servers, network attached storage (NAS), personal computers (PCs), televisions (TVs), ATMs, or self-service machines, etc. This application embodiment does not specifically limit the scope.

[0164] The aging detection device for refrigeration equipment in this application embodiment can be a device with an operating system. This operating system can be Android, iOS, or other possible operating systems; this application embodiment does not specifically limit it.

[0165] The aging detection device for refrigeration equipment provided in this application embodiment can realize the various processes shown in Figure 2. To avoid repetition, it will not be described again here.

[0166] It should be noted that the aging test device for refrigeration equipment described above can execute the aging test method for refrigeration equipment provided in the embodiments of this application, and has the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in the embodiments of the aging test device for refrigeration equipment can be found in the aging test method for refrigeration equipment provided in the above embodiments.

[0167] In this embodiment, an aging detection device for refrigeration equipment is provided, comprising: a temperature acquisition unit for determining the target temperature of the refrigeration equipment and acquiring the current temperature of the refrigeration equipment at fixed time intervals; a compressor control unit for starting the compressor when the current temperature is greater than or equal to a first preset temperature and automatically recording the current temperature and the time taken for the refrigeration equipment to recover temperature, and turning off the compressor when the current temperature is less than or equal to a second preset temperature and automatically recording the current temperature and the time taken for the refrigeration equipment to cool down; recording the number of times the compressor is started within a preset time; a data recording unit for calculating the root mean square error of the recovery temperature and the root mean square error of the cooling time based on the recorded recovery temperature and cooling time of the refrigeration equipment within the preset time; and an aging judgment unit for determining that the aging detection result of the refrigeration equipment is passed if the refrigeration equipment meets the preset conditions, and fails if the refrigeration equipment does not meet the preset conditions. This application can improve the convenience and accuracy of aging detection of refrigeration equipment by automatically recording the current temperature, recovery temperature, and cooling time of the refrigeration equipment and automatically judging whether the refrigeration equipment is aging based on preset conditions.

[0168] Please refer to Figure 13 again. Figure 13 is a structural schematic diagram of an aging detection device provided in an embodiment of this application.

[0169] As shown in Figure 13, the aging detection device 130 includes one or more processors 131 and a memory 132. Figure 13 shows an example of one processor 131.

[0170] The processor 131 and the memory 132 can be connected via a bus or other means. Figure 13 shows an example of connection via a bus.

[0171] The processor 131 is configured to provide computing and control capabilities to control the aging detection device 130 to perform corresponding tasks, such as controlling the aging detection device 130 to perform the aging detection method of the refrigeration device in any of the above method embodiments, including: determining the target temperature of the refrigeration device; acquiring the current temperature of the refrigeration device at fixed time intervals; when the current temperature is greater than or equal to a first preset temperature, turning on the compressor and automatically recording the current temperature and the refrigeration device's temperature recovery time; when the current temperature is less than or equal to a second preset temperature, turning off the compressor and automatically recording the current temperature and the refrigeration device's cooling time; recording the number of times the compressor is turned on within a preset time; calculating the root mean square error of the temperature recovery time and the root mean square error of the cooling time based on the recorded temperature recovery time and cooling time of the refrigeration device within the preset time; if the refrigeration device meets preset conditions, determining that the aging detection result of the refrigeration device is passed; if the refrigeration device does not meet preset conditions, determining that the aging detection result of the refrigeration device is failed; wherein the preset conditions include: the number of times the compressor is turned on within a preset time meets the first preset condition, and the root mean square error of the temperature recovery time of the refrigeration device meets the second preset condition, and the root mean square error of the cooling time of the refrigeration device meets the third preset condition.

[0172] By automatically recording the current temperature and temperature recovery of the refrigeration equipment, as well as the refrigeration time, and automatically determining whether the refrigeration equipment is aging based on preset conditions, the convenience and accuracy of refrigeration equipment aging detection are improved.

[0173] Processor 131 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), a hardware chip, or any combination thereof; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The aforementioned PLD can be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0174] Memory 132, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the aging detection method for the refrigeration equipment in the embodiments of this application. Processor 131 can implement the aging detection method for the refrigeration equipment in any of the following method embodiments by running the non-transitory software programs, instructions, and modules stored in memory 132. Specifically, memory 132 may include volatile memory (VM), such as random access memory (RAM); memory 132 may also include non-volatile memory (NVM), such as read-only memory (ROM), flash memory, hard disk drive (HDD), solid-state drive (SSD), or other non-transitory solid-state storage devices; memory 132 may also include combinations of the above types of memory.

[0175] Memory 132 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, memory 132 may optionally include memory remotely located relative to processor 131, and such remote memory may be connected to processor 131 via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0176] One or more modules are stored in memory 132. When executed by one or more processors 131, they perform the aging detection method of the refrigeration equipment in any of the above method embodiments, for example, performing the various steps shown in FIG2 described above; or they can realize the functions of the various modules or units in FIG12.

[0177] In this embodiment, the aging test device 130 may also have wired or wireless network interfaces, a keyboard, and input / output interfaces for input and output. The aging test device 130 may also include other components for realizing the device functions, which will not be described in detail here.

[0178] This application also provides a computer-readable storage medium, such as a memory including program code, which can be executed by a processor to complete the aging detection method for the refrigeration device in the above embodiments. For example, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CDROM), magnetic tape, floppy disk, and optical data storage device, etc.

[0179] This application also provides a computer program product comprising one or more lines of program code stored in a computer-readable storage medium. A processor of an electronic device reads the program code from the computer-readable storage medium and executes the program code to complete the method steps of the aging detection method for the refrigeration equipment provided in the above embodiments.

[0180] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware, or by a program or program code related to hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0181] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented using software and a general-purpose hardware platform, or of course, using hardware. Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0182] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and not to limit them; under the concept of this application, the technical features of the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations as described above in different aspects of this application, which are not provided in detail for the sake of brevity; although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. An aging test method for refrigeration equipment, characterized in that, An application is made in a testing system, comprising an IoT networking module, a cloud server, and a smart terminal. The refrigeration equipment includes a compressor. The method includes: the smart terminal scanning the serial number of the refrigeration equipment and initiating an aging test request for the refrigeration equipment to the cloud server via a preset communication protocol; the cloud server, upon receiving the aging test request from the smart terminal, issuing an aging test command to the IoT networking module; the IoT networking module is used to: determine the target temperature of the refrigeration equipment; acquire the current temperature of the refrigeration equipment at fixed time intervals; when the current temperature is greater than or equal to a first preset temperature, turn on the compressor and automatically record the current temperature and the time taken for the refrigeration equipment to recover its temperature; when the current temperature is less than or equal to a second preset temperature, turn off the compressor, and... The system automatically records the current temperature and the cooling time of the refrigeration equipment; it also records the number of times the compressor is turned on within a preset time period. The cloud server is used to: calculate the root mean square error of the temperature recovery time and the root mean square error of the cooling time of the refrigeration equipment based on the temperature recovery time and cooling time recorded within the preset time period; if the refrigeration equipment meets preset conditions, the aging test result of the refrigeration equipment is determined to be passed; if the refrigeration equipment does not meet preset conditions, the aging test result of the refrigeration equipment is determined to be failed; wherein, the preset conditions include: the number of times the compressor is turned on within the preset time period meets a first preset condition, the root mean square error of the temperature recovery time of the refrigeration equipment meets a second preset condition, and the root mean square error of the cooling time of the refrigeration equipment meets a third preset condition.

2. The method according to claim 1, characterized in that, Calculating the root mean square error of the cooling time of the refrigeration equipment includes: Where a is the root mean square error of the cooling time, xn is the nth cooling time reported by the device, and u is the average cooling time.

3. The method according to claim 1, characterized in that, Calculating the root mean square error of the reheat time of the refrigeration equipment includes: Where b is the root mean square error of the reheating time, yn is the nth reheating time reported by the device, and p is the average of the reheating times.

4. The method according to claim 1, characterized in that, The cooling time of the refrigeration equipment is the time required for the refrigeration equipment to drop from the current temperature to the target temperature; the temperature recovery time of the refrigeration equipment is the time required for the refrigeration equipment to rise from the current temperature to the target temperature.

5. A detection system, characterized in that, The system includes an IoT networking module, a compressor, and a cloud server. The IoT networking module is used to control the compressor's on / off state and includes an Android device, an industrial control device, and a temperature sensing unit. The Android device is used to receive data sent by the industrial control device and / or the temperature sensing unit. The industrial control device is used to upload temperature data, the number of times the compressor is turned on, the cooling time of the refrigeration equipment, and the temperature recovery time of the refrigeration equipment to the Android device. The temperature sensing unit is used to acquire the temperature data of the refrigeration equipment.

6. The system according to claim 5, characterized in that, The cloud server converts the data received from the IoT network module into a corresponding chart and transmits the chart to the smart terminal.

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