A cold chain transportation temperature control system, a temperature control method and a cold chain device

Abstract

The application provides a cold chain transportation temperature control system, a temperature control method and a cold chain device. The system comprises a micro-electromechanical system sensor, a microcontroller, a control module, a compressor and a fan. The micro-electromechanical system sensor is used for monitoring the vibration signal of the cold chain device, wherein the vibration signal is used for representing the vibration state of the cold chain device. The microcontroller is used for performing signal processing on the vibration signal to obtain vibration characteristic data, analyzing the vibration state of the cold chain device according to the vibration characteristic data, and determining the compressor power adjustment value and the fan speed adjustment value according to the vibration characteristic data when the vibration state is an abnormal state. The control module is used for adjusting the power of the compressor according to the compressor power adjustment value, and adjusting the speed of the fan according to the fan speed adjustment value. The temperature control effect of the cold chain device in the vibration environment is ensured.

Description

Technical Field

[0001] This application relates to the field of cold chain transportation technology, and in particular to a cold chain transportation temperature control system, temperature control method and cold chain equipment. Background Technology

[0002] Cold chain transportation refers to the transportation of goods at a constant temperature throughout the entire process, including loading and unloading, changes in transportation methods, and replacement of packaging equipment. Cold chain transportation is widely used in the logistics and distribution of goods with strict temperature requirements (such as food, pharmaceuticals, and biological products). Cold chain equipment typically uses compressors, fans, and PID (Proportional Integral Derivative) controllers to achieve temperature control.

[0003] During long-distance transportation, cold chain equipment is subjected to prolonged vibration and impact due to road conditions and vehicle conditions, leading to unstable performance of core components such as compressors and fans, and causing temperature fluctuations. Traditional PID control can maintain temperature in stable environments, but under prolonged and frequent vibration conditions, it may not respond quickly enough, or even cause the system to enter a "frequent adjustment" state, increasing energy consumption. In addition, vibration can damage equipment hardware and accelerate aging.

[0004] Therefore, there is an urgent need for an intelligent temperature control system that can adaptively adjust and self-repair to ensure temperature control performance in vibration environments. Summary of the Invention

[0005] This application provides a cold chain transportation temperature control system, temperature control method, and cold chain equipment to solve the problem that traditional PID control in the prior art may not respond quickly enough under long-term and frequent vibration conditions.

[0006] In a first aspect, this application provides a cold chain transportation temperature control system, comprising:

[0007] Microelectromechanical systems (MEMS) include sensors, microcontrollers, control modules, compressors, and fans.

[0008] The microelectromechanical system sensor is used to monitor vibration signals of cold chain equipment, wherein the vibration signals are used to characterize the vibration state of the cold chain equipment;

[0009] The microcontroller is used to process the vibration signal to obtain vibration characteristic data, and to analyze the vibration state of the cold chain equipment based on the vibration characteristic data, and to determine the compressor power adjustment value and fan speed adjustment value based on the vibration characteristic data when the vibration state is abnormal.

[0010] The control module is used to adjust the power of the compressor according to the compressor power adjustment value, and to adjust the speed of the fan according to the fan speed adjustment value.

[0011] In one possible implementation, the microcontroller is further configured to determine a first target range in which the vibration characteristic data is located among multiple mode ranges, determine the vibration mode corresponding to the first target range as a first target mode, determine the power adjustment parameter corresponding to the first target mode as the compressor power adjustment value, and determine the speed adjustment parameter corresponding to the first target mode as the fan speed adjustment value.

[0012] In one possible implementation, the microcontroller is further configured to determine a second target range in which the vibration characteristic data falls within a plurality of mode ranges, wherein the vibration characteristic data includes the average vibration amplitude and vibration frequency; determine the vibration mode corresponding to the second target range as the second target mode; determine the power adjustment coefficient corresponding to the second target mode as the target power coefficient; substitute the target power coefficient and the characteristic data into a first preset formula to obtain the compressor power adjustment value; and determine the speed adjustment coefficient corresponding to the second target mode as the target speed coefficient; substitute the target speed coefficient and the characteristic data into a second preset formula to obtain the fan speed adjustment value, wherein the first preset formula and the second preset formula are specifically as follows:

[0013] First preset formula: ΔP=-k1A avg -k2f avg ;

[0014] Second preset formula: ΔR=-m1A avg -m2f avg ;

[0015] Among them, A avg f is the average amplitude of the vibration. avg ΔP is the vibration frequency, k1 and k2 are the target power coefficients, ΔR is the fan speed adjustment value, and m1 and m2 are the target speed coefficients.

[0016] In one possible implementation, the system further includes: a storage module;

[0017] The storage module is used to store abnormal vibration data, wherein the abnormal vibration data refers to vibration characteristic data that exceeds a preset safety threshold range;

[0018] The microcontroller is also used to perform clustering operations on multiple abnormal vibration data stored in the storage module in history, so as to divide the multiple abnormal vibration data into multiple vibration modes. For each vibration mode, the vibration parameters corresponding to the vibration mode are extracted and the initial adjustment parameters corresponding to the vibration mode are obtained. The corresponding power adjustment coefficient and speed adjustment coefficient are fitted according to the vibration parameters and the initial adjustment parameters.

[0019] In one possible implementation, the storage module is further configured to store the adjustment effect, wherein the adjustment effect includes temperature fluctuation data and energy consumption data;

[0020] The microcontroller is also used to optimize the power adjustment coefficient and speed adjustment coefficient corresponding to each vibration mode based on the temperature fluctuation data and the energy consumption data, so as to minimize the temperature control error and energy consumption.

[0021] In one possible implementation, the microcontroller is further configured to send a recovery command to the control module to restore the original set value when the vibration state returns to normal.

[0022] The control module is used to control the compressor and the fan to gradually restore to the original set value according to the instructions of the recovery command.

[0023] In one possible implementation, the system further includes: an alarm device;

[0024] The microcontroller is also used to send an alarm command to the alarm device when the vibration state is abnormal.

[0025] The alarm device is used to perform alarm operations according to the instructions of the alarm command.

[0026] In one possible implementation, the microcontroller is further configured to compare the vibration characteristic data with a preset safety threshold range, and determine that the vibration state is an abnormal state if the vibration characteristic data exceeds the safety threshold range.

[0027] In one possible implementation, the microcontroller is further configured to perform data preprocessing on the vibration signal using a low-pass filter to obtain target data, and to perform feature extraction on the target data to obtain the vibration feature data.

[0028] Secondly, this application provides a temperature control method, including:

[0029] Monitoring vibration signals of cold chain equipment, wherein the vibration signals are used to characterize the vibration state of the cold chain equipment;

[0030] The vibration signal is processed to obtain vibration characteristic data;

[0031] The vibration state of the cold chain equipment is analyzed based on the vibration characteristic data.

[0032] When the vibration state is abnormal, the compressor power adjustment value and fan speed adjustment value are determined based on the vibration characteristic data;

[0033] The power of the compressor in the cold chain equipment is adjusted according to the compressor power adjustment value, and the speed of the fan in the cold chain equipment is adjusted according to the fan speed adjustment value.

[0034] Thirdly, this application provides a temperature control device, comprising:

[0035] A monitoring module is used to monitor vibration signals of cold chain equipment, wherein the vibration signals are used to characterize the vibration state of the cold chain equipment;

[0036] The processing module is used to perform signal processing on the vibration signal to obtain vibration characteristic data;

[0037] The analysis module is used to analyze the vibration state of the cold chain equipment based on the vibration characteristic data;

[0038] The determination module is used to determine the compressor power adjustment value and the fan speed adjustment value based on the vibration characteristic data when the vibration state is abnormal.

[0039] An adjustment module is used to adjust the power of the compressor in the cold chain equipment according to the compressor power adjustment value, and to adjust the speed of the fan in the cold chain equipment according to the fan speed adjustment value.

[0040] Fourthly, this application provides a cold chain equipment, including a cold chain transportation temperature control system, wherein the cold chain transportation temperature control system is the cold chain transportation temperature control system of the first aspect, or the temperature control method of the cold chain transportation temperature control system includes the temperature control method of the cold chain transportation temperature control system of the second aspect.

[0041] Fifthly, this application provides an apparatus comprising: a processor and a memory, the processor being configured to execute a temperature control program stored in the memory to implement the temperature control method described in any one of the second aspects.

[0042] In a sixth aspect, this application provides a storage medium storing one or more programs that can be executed by one or more processors to implement the temperature control method described in any one of the second aspects.

[0043] Compared with the prior art, the technical solution provided in this application has the following advantages: The system provided in this application includes: a microelectromechanical system sensor, a microcontroller, a control module, a compressor, and a fan; the microelectromechanical system sensor is used to monitor the vibration signal of the cold chain equipment, wherein the vibration signal is used to characterize the vibration state of the cold chain equipment; the microcontroller is used to process the vibration signal to obtain vibration characteristic data, and to analyze the vibration state of the cold chain equipment based on the vibration characteristic data, and to determine the compressor power adjustment value and fan speed adjustment value based on the vibration characteristic data when the vibration state is abnormal; the control module is used to adjust the power of the compressor based on the compressor power adjustment value, and to adjust the speed of the fan based on the fan speed adjustment value. Through this system, when there is abnormal vibration in the cold chain equipment, the power output of the compressor and fan can be automatically adjusted according to the vibration situation, so that the cold chain equipment can maintain stable operation in a vibration environment, ensuring the temperature control effect of the cold chain equipment in a vibration environment, and avoiding slow response and the system entering a "frequent adjustment" state. Attached Figure Description

[0044] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0045] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with 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.

[0047] Figure 1 This is a schematic diagram of the structure of a cold chain transportation temperature control system provided in an embodiment of this application;

[0048] Figure 2 A flowchart illustrating an embodiment of a temperature control method provided in this application;

[0049] Figure 3 A block diagram illustrating an embodiment of a temperature control device provided in this application;

[0050] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0052] The following disclosure provides numerous different embodiments or examples for implementing various structures of this application. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the scope of this application. Furthermore, reference numerals and / or letters may be repeated in different examples. Such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed.

[0053] To address the technical problem that traditional PID control in existing technologies can maintain temperature in stable environments, but may not respond quickly enough under prolonged and frequent vibration conditions, or even cause the system to enter a "frequent adjustment" state, increasing energy consumption, this application provides a cold chain transportation temperature control system. This system can automatically adjust the power output of the compressor and fan according to the vibration situation when there is abnormal vibration in the cold chain equipment, so that the cold chain equipment can maintain stable operation in the vibration environment and avoid the situation where the slow response causes the system to enter a "frequent adjustment" state.

[0054] Figure 1 This is a schematic diagram of a cold chain transportation temperature control system provided in an embodiment of this application. In one embodiment, the method is applied to cold chain equipment. Figure 1 As shown, the system includes: a microelectromechanical system sensor, a microcontroller, a control module, a compressor, and a fan;

[0055] The microelectromechanical system sensor is used to monitor vibration signals of cold chain equipment, wherein the vibration signals are used to characterize the vibration state of the cold chain equipment;

[0056] The microcontroller is used to process the vibration signal to obtain vibration characteristic data, and to analyze the vibration state of the cold chain equipment based on the vibration characteristic data, and to determine the compressor power adjustment value and fan speed adjustment value based on the vibration characteristic data when the vibration state is abnormal.

[0057] The control module is used to adjust the power of the compressor according to the compressor power adjustment value, and to adjust the speed of the fan according to the fan speed adjustment value.

[0058] In applications, MEMS (Micro-Electro-Mechanical Systems) sensors, such as triaxial MEMS accelerometers (e.g., ADXL345), are used. Vibration signals acquired by MEMS sensors can capture real-time information such as the frequency, amplitude, duration, and direction of vibrations in cold chain equipment. They are typically installed near critical components of the cold chain equipment, primarily the compressor and fan, to ensure accurate monitoring of the vibration status of core components. The acquisition frequency can be set to 50Hz to ensure the capture of major vibration changes per second. The acquired vibration signals are transmitted to an MCU (Microcontroller Unit) for processing via signal lines.

[0059] The compressor power adjustment value refers to the value used to adjust the compressor power. For example, if the compressor power adjustment value is -20, then when abnormal vibration is detected, the compressor power will be reduced by 20% to mitigate temperature fluctuations.

[0060] The fan speed adjustment value refers to the value used to adjust the fan speed. For example, if the fan speed adjustment value is 10%, then when abnormal vibration is detected, the fan speed will be increased by 10% to accelerate the airflow inside the cold chain equipment and stabilize the temperature.

[0061] After receiving the vibration signal, the MCU preprocesses and extracts features from the signal. Based on the extracted features, it determines the current vibration status of the cold chain equipment and calculates the compressor power adjustment value and fan speed adjustment value. These values ​​are then transmitted to the control module, which adjusts the compressor power and fan speed according to the power adjustment value. This ensures stable operation of the cold chain equipment even under vibration.

[0062] The system provided in this application includes: a microelectromechanical system (MEMS) sensor, a microcontroller, a control module, a compressor, and a fan. The MEMS sensor is used to monitor vibration signals of cold chain equipment, wherein the vibration signals characterize the vibration state of the cold chain equipment. The microcontroller is used to process the vibration signals to obtain vibration characteristic data, and to analyze the vibration state of the cold chain equipment based on the vibration characteristic data. If the vibration state is abnormal, the microcontroller determines compressor power adjustment values ​​and fan speed adjustment values ​​based on the vibration characteristic data. The control module adjusts the power of the compressor based on the compressor power adjustment value and adjusts the fan speed based on the fan speed adjustment value. This system can automatically adjust the power output of the compressor and fan when abnormal vibration occurs in the cold chain equipment, ensuring stable operation of the cold chain equipment under vibration conditions and maintaining effective temperature control. It also avoids slow response times and prevents the system from entering a "frequent adjustment" state.

[0063] In another embodiment of this application, the microcontroller is further configured to compare the vibration characteristic data with a preset safety threshold range, and determine the vibration state as an abnormal state if the vibration characteristic data exceeds the safety threshold range.

[0064] In applications, a safety threshold range can be set according to the normal operating conditions of the equipment (e.g., the safe vibration amplitude threshold is set to 0.3g-0.5g; exceeding this range may damage core components such as compressors and fans; the safe frequency threshold is set between 35Hz and 50Hz; if the vibration frequency is higher than 50Hz, it will usually cause mechanical resonance problems, leading to unstable operation of the compressor or fan of the equipment, or even shortening its service life).

[0065] Based on this, in this embodiment, the current vibration state can be determined as an abnormal state by comparing the vibration characteristic data with a preset safety threshold range. That is, if the vibration characteristic data exceeds the safety threshold range, the vibration state is determined to be an abnormal state, and if the vibration characteristic data is within the safety threshold range, the vibration state is determined to be a normal state.

[0066] In another embodiment of this application, the microcontroller is further configured to perform data preprocessing on the vibration signal through a low-pass filter to obtain target data, and to perform feature extraction on the target data to obtain the vibration feature data.

[0067] In this embodiment, a low-pass filter can be used to remove high-frequency interference signals from the vibration signal, retaining the main vibration characteristics related to equipment operation, i.e., the target data. Then, key feature parameters, including the average vibration amplitude A, are extracted from the target data. avgVibration frequency f, duration T, and direction D, etc., form an eigenvector X = [A avg [,f,T,D,...]. This improves the accuracy of subsequent data processing.

[0068] In another embodiment of this application, the microcontroller is further configured to determine a first target range in which the vibration characteristic data is located among multiple mode ranges, determine the vibration mode corresponding to the first target range as a first target mode, determine the power adjustment parameter corresponding to the first target mode as the compressor power adjustment value, and determine the speed adjustment parameter corresponding to the first target mode as the fan speed adjustment value.

[0069] In application, abnormal vibrations can be pre-classified into multiple vibration modes, such as slight vibration, moderate vibration, and severe vibration, based on historical vibration data of cold chain equipment. Furthermore, corresponding power adjustment parameters and speed adjustment parameters can be set for each vibration mode. The mode range corresponding to each vibration mode refers to the range of its corresponding vibration characteristic data.

[0070] In this embodiment, the MCU can determine the first target range of the current vibration characteristic data from a range of pre-stored vibration modes, and identify the vibration mode corresponding to the first target range as the first target mode. This determines the vibration mode corresponding to the current cold chain equipment, and subsequently, its corresponding power adjustment parameters and speed adjustment parameters are determined as the corresponding compressor power adjustment values ​​and fan speed adjustment values. Thus, when the vibration characteristic data falls within a certain mode range, the corresponding power adjustment parameters and speed adjustment parameters remain unchanged, thereby avoiding frequent adjustments caused by vibration.

[0071] In another embodiment of this application, the microcontroller is further configured to determine a second target range in which the vibration characteristic data is located among multiple mode ranges, wherein the vibration characteristic data includes the average vibration amplitude and vibration frequency; the vibration mode corresponding to the second target range is determined as the second target mode; the power adjustment coefficient corresponding to the second target mode is determined as the target power coefficient; the target power coefficient and the characteristic data are substituted into a first preset formula to obtain the compressor power adjustment value; and the speed adjustment coefficient corresponding to the second target mode is determined as the target speed coefficient; the target speed coefficient and the characteristic data are substituted into a second preset formula to obtain the fan speed adjustment value, wherein the first preset formula and the second preset formula are specifically as follows:

[0072] First preset formula: ΔP=-k1A avg -k2f avg ;

[0073] Second preset formula: ΔR=-m1Aavg -m2f avg ;

[0074] Among them, A avg f is the average amplitude of the vibration. avg ΔP is the vibration frequency, k1 and k2 are the target power coefficients, ΔR is the fan speed adjustment value, and m1 and m2 are the target speed coefficients.

[0075] In this embodiment, corresponding power adjustment coefficients (i.e., k1 and k2) and speed adjustment coefficients (i.e., m1 and m2) can be pre-set for each mode range. The MCU can determine the second target range where the current vibration characteristic data is located from the pre-stored mode ranges of multiple vibration modes, and determine the vibration mode corresponding to the second target range as the second target mode. This determines the vibration mode corresponding to the current cold chain equipment, and then determines its corresponding power adjustment coefficient and speed adjustment coefficient as the corresponding target power coefficient and target speed coefficient. Finally, based on the target power coefficient and target speed coefficient, a setting calculation is performed to obtain the compressor power adjustment value and fan speed adjustment value.

[0076] Accordingly, the adjusted compressor power and fan speed can be calculated using the following formulas:

[0077] P new =P orig +ΔP

[0078] R new =R orig +ΔR

[0079] Among them, P new For the adjusted compressor power, R new To adjust the speed of the rear fan, P orig R is the original compressor power. orig This is the original fan speed.

[0080] This scheme allows for the dynamic calculation of compressor power adjustment values ​​and fan speed adjustment values ​​based on vibration characteristic data, thereby enabling dynamic adjustment of the power output of the compressor and fan.

[0081] In yet another embodiment of this application, the system further includes: a storage module;

[0082] The storage module is used to store abnormal vibration data, wherein the abnormal vibration data refers to vibration characteristic data that exceeds a preset safety threshold range;

[0083] The microcontroller is also used to perform clustering operations on multiple abnormal vibration data stored in the storage module in history, so as to divide the multiple abnormal vibration data into multiple vibration modes. For each vibration mode, the vibration parameters corresponding to the vibration mode are extracted and the initial adjustment parameters corresponding to the vibration mode are obtained. The corresponding power adjustment coefficient and speed adjustment coefficient are fitted according to the vibration parameters and the initial adjustment parameters.

[0084] In this embodiment, the system can store historical abnormal vibration data in memory and use the K-means clustering algorithm to cluster this data, classifying it into different vibration modes (such as slight vibration, moderate vibration, and severe vibration). Then, fixed adjustment values ​​ΔP and ΔR are preset for each vibration mode; these parameters are hyperparameters and can be determined or adjusted based on experience. Furthermore, for each vibration mode, parameters such as average vibration amplitude and frequency are extracted based on the corresponding data set. Finally, the optimal adjustment coefficients k1,k2,m1,m2 are fitted to the compressor power and fan speed adjustment formulas based on these parameters. Then, the optimal compressor power adjustment value ΔP and fan speed ΔR under the real-time vibration mode are dynamically calculated using the adjustment coefficients k1,k2,m1,m2.

[0085] In practical applications, after each update of the adjustment coefficients k1, k2, m1, m2, the data in the storage module can be updated so that the new historical data can be used for calculation in the next optimization of the adjustment coefficients k1, k2, m1, m2, thereby making the obtained formula more consistent with the current usage.

[0086] In another embodiment of this application, the storage module is further used to store the adjustment effect, wherein the adjustment effect includes temperature fluctuation data and energy consumption data;

[0087] The microcontroller is also used to optimize the power adjustment coefficient and speed adjustment coefficient corresponding to each vibration mode based on the temperature fluctuation data and the energy consumption data, so as to minimize the temperature control error and energy consumption.

[0088] In the application, the control module can feed back real-time temperature and energy consumption data to the MCU, which in turn stores it in the storage module. Thus, the storage module records the vibration characteristics (A) of each vibration event. avg f avg ), current adjustment values ​​(i.e., compressor power adjustment value and fan speed adjustment value) and adjustment effect (temperature fluctuation data ΔT, energy consumption data).

[0089] Based on this, in this embodiment, the MCU can use regression analysis to analyze the vibration characteristics, current adjustment value, and adjustment effect of each vibration event, thereby fitting the optimal coefficients k1, k2, m1, m2. The goal is to minimize temperature control error and energy consumption. Finally, the adjustment formula is updated based on the obtained optimal coefficients to improve the dynamic adaptability of the formula.

[0090] In another embodiment of this application, the microcontroller is further configured to send a recovery command to the control module to restore the original set value when the vibration state returns to the normal state;

[0091] The control module is used to control the compressor and the fan to gradually restore to the original set value according to the instructions of the recovery command.

[0092] In this embodiment, after the abnormal vibration disappears, that is, when the vibration state returns to normal, the MCU can issue a recovery command to the control module, so that the control module can control the compressor and fan to gradually return to the original set value, that is, the value before adjustment. This saves energy and maintains stable temperature control.

[0093] In yet another embodiment of this application, the system further includes: an alarm device;

[0094] The microcontroller is also used to send an alarm command to the alarm device when the vibration state is abnormal.

[0095] The alarm device is used to perform alarm operations according to the instructions of the alarm command.

[0096] In this embodiment, when the vibration state is abnormal, the MCU can send an alarm command to the alarm device so that the alarm device can perform an alarm operation, thereby prompting the user to promptly detect the abnormality and take appropriate action.

[0097] Figure 2 This is a flowchart illustrating an embodiment of a temperature control method provided in this application. In one embodiment, the method is applied to cold chain equipment. Figure 2 As shown, the method includes the following steps:

[0098] Step 201: Monitor the vibration signal of the cold chain equipment, wherein the vibration signal is used to characterize the vibration state of the cold chain equipment;

[0099] Step 202: Perform signal processing on the vibration signal to obtain vibration characteristic data;

[0100] Step 203: Analyze the vibration state of the cold chain equipment based on the vibration characteristic data;

[0101] Step 204: If the vibration state is abnormal, determine the compressor power adjustment value and fan speed adjustment value based on the vibration characteristic data;

[0102] Step 205: Adjust the power of the compressor in the cold chain equipment according to the compressor power adjustment value, and adjust the speed of the fan in the cold chain equipment according to the fan speed adjustment value.

[0103] As can be seen from the above description, the technical solution provided in this application embodiment can automatically adjust the power output of the compressor and fan according to the vibration situation when there is abnormal vibration in the cold chain equipment, so that the cold chain equipment can maintain stable operation in the vibration environment, ensure the temperature control effect of the cold chain equipment in the vibration environment, and avoid the situation where the response is slow and the system enters the "frequent adjustment" state.

[0104] Figure 3 This is a block diagram illustrating an embodiment of a temperature control device provided in this application. Figure 3 As shown, the device includes:

[0105] The monitoring module 31 is used to monitor the vibration signal of the cold chain equipment, wherein the vibration signal is used to characterize the vibration state of the cold chain equipment;

[0106] Processing module 32 is used to perform signal processing on the vibration signal to obtain vibration characteristic data;

[0107] Analysis module 33 is used to analyze the vibration state of the cold chain equipment based on the vibration characteristic data;

[0108] The determination module 34 is used to determine the compressor power adjustment value and the fan speed adjustment value based on the vibration characteristic data when the vibration state is abnormal.

[0109] The adjustment module 35 is used to adjust the power of the compressor in the cold chain equipment according to the compressor power adjustment value, and to adjust the speed of the fan in the cold chain equipment according to the fan speed adjustment value.

[0110] As can be seen from the above description, the technical solution provided in this application embodiment can automatically adjust the power output of the compressor and fan according to the vibration situation when there is abnormal vibration in the cold chain equipment, so that the cold chain equipment can maintain stable operation in the vibration environment, ensure the temperature control effect of the cold chain equipment in the vibration environment, and avoid the situation where the response is slow and the system enters the "frequent adjustment" state.

[0111] like Figure 4As shown in the figure, this application provides a device including a processor 111, a communication interface 112, a memory 113, and a communication bus 114, wherein the processor 111, the communication interface 112, and the memory 113 communicate with each other through the communication bus 114.

[0112] Memory 113 is used to store computer programs;

[0113] In one embodiment of this application, when the processor 111 executes the program stored in the memory 113, it implements the temperature control method provided in any of the foregoing method embodiments, including:

[0114] Monitoring vibration signals of cold chain equipment, wherein the vibration signals are used to characterize the vibration state of the cold chain equipment;

[0115] The vibration signal is processed to obtain vibration characteristic data;

[0116] The vibration state of the cold chain equipment is analyzed based on the vibration characteristic data.

[0117] When the vibration state is abnormal, the compressor power adjustment value and fan speed adjustment value are determined based on the vibration characteristic data;

[0118] The power of the compressor in the cold chain equipment is adjusted according to the compressor power adjustment value, and the speed of the fan in the cold chain equipment is adjusted according to the fan speed adjustment value.

[0119] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the temperature control method provided in any of the foregoing method embodiments.

[0120] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0121] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented using software plus a general-purpose hardware platform, or of course, using hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0122] It should be understood that the terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a,” “an,” and “described” as used herein may also include the plural forms. The terms “comprising,” “including,” “containing,” and “having” are inclusive and therefore indicate the presence of the stated features, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not construed as requiring them to be performed in a particular order described or illustrated unless the order of performance is explicitly indicated. It should also be understood that additional or alternative steps may be used.

[0123] The above description is merely a specific embodiment of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A cold chain transportation temperature control system, characterized in that, The system includes: a microelectromechanical system sensor, a microcontroller, a control module, a compressor, and a fan; The microelectromechanical system sensor is used to monitor vibration signals of cold chain equipment, wherein the vibration signals are used to characterize the vibration state of the cold chain equipment; The microcontroller is used to process the vibration signal to obtain vibration characteristic data, and to analyze the vibration state of the cold chain equipment based on the vibration characteristic data, and to determine the compressor power adjustment value and fan speed adjustment value based on the vibration characteristic data when the vibration state is abnormal. The control module is used to adjust the power of the compressor according to the compressor power adjustment value, and to adjust the speed of the fan according to the fan speed adjustment value; The microcontroller is further configured to determine a second target range in which the vibration characteristic data falls within multiple mode ranges. The vibration characteristic data includes the average vibration amplitude and vibration frequency. The microcontroller determines the vibration mode corresponding to the second target range as the second target mode, determines the power adjustment coefficient corresponding to the second target mode as the target power coefficient, substitutes the target power coefficient and the characteristic data into a first preset formula to obtain the compressor power adjustment value, and determines the speed adjustment coefficient corresponding to the second target mode as the target speed coefficient, substitutes the target speed coefficient and the characteristic data into a second preset formula to obtain the fan speed adjustment value. The first preset formula and the second preset formula are as follows: First preset formula: ; Second preset formula: ; in, The average amplitude of the vibration. The vibration frequency, This is the compressor power adjustment value. and For the target power coefficient, This is the fan speed adjustment value. and The target speed coefficient.

2. The system according to claim 1, characterized in that, The system also includes: a storage module; The storage module is used to store abnormal vibration data, wherein the abnormal vibration data refers to vibration characteristic data that exceeds a preset safety threshold range; The microcontroller is also used to perform clustering operations on multiple abnormal vibration data stored in the storage module in history, so as to divide the multiple abnormal vibration data into multiple vibration modes. For each vibration mode, the vibration parameters corresponding to the vibration mode are extracted and the initial adjustment parameters corresponding to the vibration mode are obtained. The corresponding power adjustment coefficient and speed adjustment coefficient are fitted according to the vibration parameters and the initial adjustment parameters.

3. The system according to claim 2, characterized in that, The storage module is also used to store the adjustment effect, wherein the adjustment effect includes temperature fluctuation data and energy consumption data; The microcontroller is also used to optimize the power adjustment coefficient and speed adjustment coefficient corresponding to each vibration mode based on the temperature fluctuation data and the energy consumption data, so as to minimize the temperature control error and energy consumption.

4. The system according to claim 1, characterized in that, The microcontroller is also used to send a recovery command to the control module to restore the original set value when the vibration state returns to normal. The control module is used to control the compressor and the fan to gradually restore to the original set value according to the instructions of the recovery command.

5. The system according to claim 1, characterized in that, The system also includes: an alarm device; The microcontroller is also used to send an alarm command to the alarm device when the vibration state is abnormal. The alarm device is used to perform alarm operations according to the instructions of the alarm command.

6. The system according to claim 1, characterized in that, The microcontroller is also used to compare the vibration characteristic data with a preset safety threshold range, and to determine that the vibration state is an abnormal state if the vibration characteristic data exceeds the safety threshold range.

7. The system according to claim 1, characterized in that, The microcontroller is also used to preprocess the vibration signal using a low-pass filter to obtain target data, and to extract features from the target data to obtain vibration feature data.

8. A temperature control method, characterized in that, The method includes: Monitoring vibration signals of cold chain equipment, wherein the vibration signals are used to characterize the vibration state of the cold chain equipment; The vibration signal is processed to obtain vibration characteristic data; The vibration state of the cold chain equipment is analyzed based on the vibration characteristic data. When the vibration state is abnormal, the compressor power adjustment value and fan speed adjustment value are determined based on the vibration characteristic data; The power of the compressor in the cold chain equipment is adjusted according to the compressor power adjustment value, and the speed of the fan in the cold chain equipment is adjusted according to the fan speed adjustment value; The method further includes: determining a second target range in which the vibration characteristic data is located among multiple mode ranges, wherein the vibration characteristic data includes the average vibration amplitude and vibration frequency; determining the vibration mode corresponding to the second target range as the second target mode; determining the power adjustment coefficient corresponding to the second target mode as the target power coefficient; substituting the target power coefficient and the characteristic data into a first preset formula to obtain the compressor power adjustment value; and determining the speed adjustment coefficient corresponding to the second target mode as the target speed coefficient; substituting the target speed coefficient and the characteristic data into a second preset formula to obtain the fan speed adjustment value, wherein the first preset formula and the second preset formula are as follows: First preset formula: ; Second preset formula: ; in, The average amplitude of the vibration. The vibration frequency, This is the compressor power adjustment value. and For the target power coefficient, This is the fan speed adjustment value. and The target speed coefficient.

9. A cold chain equipment, comprising a cold chain transportation temperature control system, characterized in that, The cold chain transportation temperature control system is the cold chain transportation temperature control system according to any one of claims 1-7, or the temperature control method of the cold chain transportation temperature control system includes the temperature control method of the cold chain transportation temperature control system according to claim 8.

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