Cold chain transportation temperature control system, temperature control method and cold chain equipment

Abstract

The invention provides a cold chain transportation temperature control system, a temperature control method and cold chain equipment. The system comprises a micro electronic mechanical system sensor, a microcontroller, a control module, a compressor and a fan, the micro electronic mechanical system sensor is used for monitoring a vibration signal of the cold chain equipment, and the vibration signal is used for representing the vibration state of the cold chain equipment; 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 equipment according to the vibration characteristic data, and sending the vibration signal to the cold chain equipment when the vibration state is an abnormal state. Determining a compressor power adjustment value and a fan rotation speed adjustment value according to the vibration characteristic data; and the control module is used for adjusting the power of the compressor according to the compressor power adjustment value and adjusting the rotating speed of the fan according to the fan rotating speed adjustment value. And the temperature control effect of the cold chain equipment in a vibration environment is ensured.

Description

Technical Field

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

[0002] Cold-chain transportation refers to the transportation of goods at a certain temperature throughout the entire transportation process, whether it is loading and unloading, changing the mode of transportation, changing the packaging equipment, etc. Cold-chain transportation is widely used in the logistics and distribution of goods with strict temperature requirements (such as food, medicine and biological products). Cold chain equipment usually uses compressors, fans and PID (Proportional Integral Derivative) controllers to achieve temperature control.

[0003] During long-distance transportation, due to road and vehicle conditions, cold chain equipment will be subjected to long-term vibration and impact, resulting in unstable performance of core components such as compressors and fans, which will cause temperature fluctuations. Traditional PID control can maintain temperature in a stable environment, but under long-term and frequent vibration conditions, it may not respond quickly enough, and even cause the system to enter a "frequent adjustment" state, increasing energy consumption. In addition, vibration will affect the 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 the temperature control effect in a vibration environment. Summary of the invention

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

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

[0007] MEMS sensors, microcontrollers, control modules, compressors and fans;

[0008] The micro-electromechanical 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;

[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 according to the vibration characteristic data, and to determine a compressor power adjustment value and a fan speed adjustment value according to 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 embodiment, the microcontroller is also used to determine a first target range in which the vibration characteristic data is located in multiple mode ranges, determine the vibration mode corresponding to the first target range as the 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 a possible implementation manner, the microcontroller is further used to determine a second target range in which the vibration characteristic data is located in a plurality of mode ranges, wherein the vibration characteristic data includes an average vibration amplitude and a vibration frequency, the vibration mode corresponding to the second target range is determined as a second target mode, the power adjustment coefficient corresponding to the second target mode is determined as a 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 a 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:

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

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

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

[0016] In a 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 exceeding a preset safety threshold range;

[0018] The microcontroller is also used to perform clustering operations on multiple abnormal vibration data historically stored in the storage module to divide the multiple abnormal vibration data into multiple vibration modes, and for each vibration mode, extract the vibration parameters corresponding to the vibration mode and obtain the initial adjustment parameters corresponding to the vibration mode, and fit the corresponding power adjustment coefficient and speed adjustment coefficient according to the vibration parameters and the initial adjustment parameters.

[0019] In a possible implementation manner, the storage module is further used to store adjustment effects, wherein the adjustment effects include temperature fluctuation data and energy consumption data;

[0020] The microcontroller is also used to optimize the power adjustment coefficient and the speed adjustment coefficient corresponding to each vibration mode according to the temperature fluctuation data and the energy consumption data, so as to achieve the goal of minimizing temperature control error and energy consumption.

[0021] In a possible implementation manner, the microcontroller is further configured to send a restoration instruction to the control module to restore an original set value when the vibration state is restored to a normal state;

[0022] The control module is used to control the compressor and the fan to gradually recover to the original set values ​​according to the instruction of the recovery instruction.

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

[0024] The microcontroller is further used to send an alarm instruction to the alarm device when the vibration state is abnormal;

[0025] The alarm device is used to perform an alarm operation according to the instruction of the alarm instruction.

[0026] In a possible implementation manner, 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 when the vibration characteristic data exceeds the safety threshold range.

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

[0028] In a second aspect, the present application provides a temperature control method, comprising:

[0029] Monitoring a vibration signal of a cold chain device, wherein the vibration signal is used to characterize a vibration state of the cold chain device;

[0030] Performing signal processing on the vibration signal to obtain vibration characteristic data;

[0031] Analyzing the vibration state of the cold chain equipment according to the vibration characteristic data;

[0032] In the case where the vibration state is an abnormal state, determining a compressor power adjustment value and a fan speed adjustment value according to 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] In a third aspect, the present application provides a temperature control device, comprising:

[0035] A monitoring module, 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;

[0036] A processing module, used for performing signal processing on the vibration signal to obtain vibration characteristic data;

[0037] An analysis module, used for analyzing the vibration state of the cold chain equipment according to the vibration characteristic data;

[0038] a determination module, configured to determine a compressor power adjustment value and a fan speed adjustment value according to the vibration characteristic data when the vibration state is an abnormal state;

[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] In a fourth aspect, the present 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] In a fifth aspect, the present application provides a device, comprising: a processor and a memory, wherein the processor is used 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, the present application provides a storage medium storing one or more programs, and the one or more programs can be executed by one or more processors to implement the temperature control method described in any one of the second aspects.

[0043] The above technical solution provided by the embodiment of the present application has the following advantages over the prior art: the system provided by the embodiment of the present application includes: a micro-electromechanical system sensor, a microcontroller, a control module, a compressor and a fan; the micro-electromechanical 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 analyze the vibration state of the cold chain equipment according to the vibration characteristic data, and determine the compressor power adjustment value and the fan speed adjustment value according to 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 adjust the speed of the fan according to 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 the fan can be automatically adjusted according to the vibration situation, so that the cold chain equipment can maintain stable operation under the vibration environment, ensure the temperature control effect of the cold chain equipment under the vibration environment, and avoid slow response, so that the system enters the "frequent adjustment" state. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0046] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

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

[0048] Figure 2 A flow chart of an embodiment of a temperature control method provided in an embodiment of the present application;

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

[0050] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0052] The disclosure below provides many different embodiments or examples to realize the different structures of the present application. In order to simplify the disclosure of the present application, the parts and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present application. In addition, the present application can repeat reference numbers and / or letters in different examples. This repetition is for the purpose of simplification and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed.

[0053] In order to solve the technical problem that traditional PID control in the prior art can maintain temperature in a stable environment, but under long-term and frequent vibration conditions, the response may not be fast enough, and may even cause the system to enter a "frequent adjustment" state, increasing energy consumption, the present application provides a cold chain transportation temperature control system. When there is abnormal vibration in the cold chain equipment, the system can automatically adjust the power output of the compressor and the fan according to the vibration conditions, so that the cold chain equipment can maintain stable operation in a vibration environment, avoiding slow response and causing the system to enter a "frequent adjustment" state.

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

[0055] The micro-electromechanical 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;

[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 according to the vibration characteristic data, and to determine a compressor power adjustment value and a fan speed adjustment value according to 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 can use three-axis MEMS accelerometers (such as ADXL345). The vibration signals collected by the MEMS sensor can capture the frequency, amplitude, duration, direction and other information of the cold chain equipment vibration in real time. Its installation location is generally near the key components of the cold chain equipment, mainly the compressor and fan, to ensure that the vibration condition of the core components can be accurately monitored. The acquisition frequency can be set to 50Hz to ensure that the main vibration changes within each second are captured. The collected vibration signal is transmitted to the MCU (Microcontroller Unit) through the signal line for processing.

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

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

[0061] After receiving the vibration signal, the MCU pre-processes and extracts the features of the vibration signal, and determines the vibration condition of the current cold chain equipment based on the extracted features, thereby calculating the compressor power adjustment value and the fan speed adjustment value. The compressor power adjustment value and the fan speed adjustment value are transmitted to the control module, so that the control module adjusts the compressor power according to the compressor power adjustment value, and adjusts the fan speed according to the fan speed adjustment value. In this way, the cold chain equipment can maintain stable operation in a vibration environment.

[0062] The system provided by the embodiment of the present application includes: a micro-electromechanical system sensor, a microcontroller, a control module, a compressor and a fan; the micro-electromechanical 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 analyze the vibration state of the cold chain equipment according to the vibration characteristic data, and determine the compressor power adjustment value and the fan speed adjustment value according to 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 adjust the speed of the fan according to 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 the fan can be automatically adjusted according to the vibration situation, so that the cold chain equipment can maintain stable operation under the vibration environment, ensure the temperature control effect of the cold chain equipment under the vibration environment, and avoid slow response, so that the system enters the "frequent adjustment" state.

[0063] In another embodiment of the present application, the microcontroller is further used to compare the vibration characteristic data with a preset safety threshold range, and determine that the vibration state is an abnormal state when the vibration characteristic data exceeds the safety threshold range.

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

[0065] Based on this, in this embodiment, by comparing the vibration characteristic data with the preset safety threshold range, it can be determined whether the current vibration state is an abnormal state, that is, when the vibration characteristic data exceeds the safety threshold range, the vibration state is determined to be an abnormal state, and when 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 the present application, the microcontroller is further used to perform data preprocessing on the vibration signal through a low-pass filter to obtain target data, and 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 in the vibration signal, retaining the main vibration characteristics related to the operation of the equipment, that is, the target data. Then, key characteristic parameters are extracted from the target data, including the average vibration amplitude A avg, vibration frequency f, duration T and direction D, etc., to form a feature vector X = [A avg ,f,T,D,...]. Thus, the accuracy of subsequent data processing is improved.

[0068] In another embodiment of the present application, the microcontroller is also used to determine a first target range in which the vibration characteristic data is located in multiple mode ranges, determine the vibration mode corresponding to the first target range as the 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 the application, abnormal vibration can be divided into multiple vibration modes such as slight vibration, medium vibration and severe vibration according to the historically stored vibration conditions of cold chain equipment, and 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 where the current vibration characteristic data is located in the mode range of multiple vibration modes stored in advance, and determine the vibration mode corresponding to the first target range as the first target mode, thereby determining the vibration mode corresponding to the current cold chain equipment, and then determining the corresponding power adjustment parameters and speed adjustment parameters as the corresponding compressor power adjustment value and fan speed adjustment value. In this way, when the vibration characteristic data is in a 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 the present application, the microcontroller is further used to determine a second target range in which the vibration characteristic data is located in a plurality of mode ranges, wherein the vibration characteristic data includes an average vibration amplitude and a vibration frequency, and the vibration mode corresponding to the second target range is determined as a second target mode, and the power adjustment coefficient corresponding to the second target mode is determined as a target power coefficient, and 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 a target speed coefficient, and 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] The first preset formula: ΔP = -k1A avg -k2f avg ;

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

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

[0075] In this embodiment, the corresponding power adjustment coefficient (i.e., k1 and k2) and speed adjustment coefficient (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 in the mode range of multiple vibration modes stored in advance, and determine the vibration mode corresponding to the second target range as the second target mode, thereby determining the vibration mode corresponding to the current cold chain equipment, and then, determining the corresponding power adjustment coefficient and speed adjustment coefficient as the corresponding target power coefficient and target speed coefficient. Finally, the setting operation is performed according to the target power coefficient and the target speed coefficient to obtain the compressor power adjustment value and the fan speed adjustment value.

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

[0077] P new =P orig +ΔP

[0078] R new =R orig +ΔR

[0079] Among them, P new is the adjusted compressor power, R new P is the adjusted fan speed. orig is the original compressor power, R orig is the original fan speed.

[0080] Through this solution, the compressor power adjustment value and the fan speed adjustment value can be dynamically calculated according to the vibration characteristic data, thereby realizing dynamic adjustment of the power output of the compressor and the fan.

[0081] In yet another embodiment of the present 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 exceeding a preset safety threshold range;

[0083] The microcontroller is also used to perform clustering operations on multiple abnormal vibration data historically stored in the storage module to divide the multiple abnormal vibration data into multiple vibration modes, and for each vibration mode, extract the vibration parameters corresponding to the vibration mode and obtain the initial adjustment parameters corresponding to the vibration mode, and fit the corresponding power adjustment coefficient and speed adjustment coefficient according to the vibration parameters and the initial adjustment parameters.

[0084] In this embodiment, the system can store historical abnormal vibration data in memory, cluster these data using the K-means clustering algorithm, and divide them into different vibration modes (such as slight vibration, moderate vibration, and severe vibration). Then, fixed adjustment amounts ΔP and ΔR are preset for each vibration mode. The parameters are hyperparameters and can be valued or adjusted based on experience. In addition, for each vibration mode, parameters such as the average vibration amplitude and frequency are extracted based on the data set corresponding to the vibration mode. Finally, based on these parameters, the optimal adjustment coefficients k1, k2, m1, and m2 of the compressor power and fan speed adjustment formula are fitted, and then the optimal compressor power adjustment value ΔP and fan speed ΔR in the real-time vibration mode are dynamically calculated through the adjustment coefficients k1, k2, m1, and m2.

[0085] In practical applications, each time the adjustment coefficients k1, k2, m1, m2 are updated, the data in the storage module can be updated, and the new historical data can be used for calculation when the adjustment coefficients k1, k2, m1, m2 are optimized next time, so that the obtained formula is more in line with the current usage.

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

[0087] The microcontroller is also used to optimize the power adjustment coefficient and the speed adjustment coefficient corresponding to each vibration mode according to the temperature fluctuation data and the energy consumption data, so as to achieve the goal of minimizing temperature control error and energy consumption.

[0088] In the application, the control module can feed back the real-time temperature and energy consumption data to the MCU, and then store it in the storage module. In this way, the vibration characteristics of each vibration event (A avg 、f avg ), current adjustment values ​​(i.e., compressor power adjustment value and fan speed adjustment value) and adjustment effects (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 values ​​and adjustment effects of each vibration event, so as to fit the optimal coefficients k1, k2, m1, m2. The goal is to minimize temperature control errors and energy consumption. Finally, the adjustment formula is updated according to the obtained optimal coefficients to improve the dynamic adaptability of the formula.

[0090] In yet another embodiment of the present application, the microcontroller is further configured to send a restoration instruction to the control module to restore the original setting value when the vibration state is restored to a normal state;

[0091] The control module is used to control the compressor and the fan to gradually recover to the original set values ​​according to the instruction of the recovery instruction.

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

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

[0094] The microcontroller is further used to send an alarm instruction to the alarm device when the vibration state is abnormal;

[0095] The alarm device is used to perform an alarm operation according to the instruction of the alarm instruction.

[0096] In this embodiment, when the vibration state is abnormal, the MCU can send an alarm instruction to the alarm device so that the alarm device performs an alarm operation, thereby prompting the user to discover the abnormality in time and perform corresponding processing.

[0097] Figure 2 The following is a flow chart of an embodiment of a temperature control method provided in an embodiment of the present application. In one embodiment, the method is applied to cold chain equipment. Figure 2 As shown, the method comprises the following steps:

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

[0099] Step 202: Process the vibration signal to obtain vibration characteristic data;

[0100] Step 203: analyzing the vibration state of the cold chain equipment according to the vibration characteristic data;

[0101] Step 204: when the vibration state is abnormal, determine a compressor power adjustment value and a fan speed adjustment value according to 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] From the above description, it can be seen that the technical solution provided in the embodiment of the present application can automatically adjust the power output of the compressor and the fan according to the vibration conditions when there is abnormal vibration in the cold chain equipment, so that the cold chain equipment can maintain stable operation in a vibration environment, ensure the temperature control effect of the cold chain equipment in a vibration environment, and avoid slow response, causing the system to enter a "frequent adjustment" state.

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

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

[0106] A processing module 32, used for performing signal processing on the vibration signal to obtain vibration characteristic data;

[0107] An analysis module 33, configured to analyze the vibration state of the cold chain equipment according to the vibration characteristic data;

[0108] A determination module 34, configured to determine a compressor power adjustment value and a fan speed adjustment value according to the vibration characteristic data when the vibration state is an abnormal state;

[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] From the above description, it can be seen that the technical solution provided in the embodiment of the present application can automatically adjust the power output of the compressor and the fan according to the vibration conditions when there is abnormal vibration in the cold chain equipment, so that the cold chain equipment can maintain stable operation in a vibration environment, ensure the temperature control effect of the cold chain equipment in a vibration environment, and avoid slow response, causing the system to enter a "frequent adjustment" state.

[0111] like Figure 4As shown, an embodiment of the present 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, used for storing computer programs;

[0113] In one embodiment of the present application, the processor 111 is used to execute the program stored in the memory 113 to implement the temperature control method provided by any of the above method embodiments, including:

[0114] Monitoring a vibration signal of a cold chain device, wherein the vibration signal is used to characterize a vibration state of the cold chain device;

[0115] Performing signal processing on the vibration signal to obtain vibration characteristic data;

[0116] Analyzing the vibration state of the cold chain equipment according to the vibration characteristic data;

[0117] In the case where the vibration state is an abnormal state, determining a compressor power adjustment value and a fan speed adjustment value according to 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] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the temperature control method provided in any of the aforementioned method embodiments are implemented.

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

[0121] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a general hardware platform, and of course, by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the relevant technology can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0122] It should be understood that the terms used in the text are only for the purpose of describing specific example embodiments, and are not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms "one", "an" and "said" as used in the text may also be meant to include plural forms. The terms "include", "comprise", "contain", and "have" are inclusive, and therefore specify the existence of stated features, steps, operations, elements and / or parts, but do not exclude the existence or addition of one or more other features, steps, operations, elements, parts, and / or combinations thereof. The method steps, processes, and operations described herein are not interpreted as necessarily requiring them to be performed in the specific order described or illustrated, unless the execution order is clearly indicated. It should also be understood that additional or alternative steps may be used.

[0123] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features applied for herein.

Claims

1. A cold chain transportation temperature control system, characterized in that: The system includes: a micro-electromechanical system sensor, a microcontroller, a control module, a compressor and a fan; The micro-electromechanical 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 according to the vibration characteristic data, and to determine a compressor power adjustment value and a fan speed adjustment value according to 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.

2. The system according to claim 1, characterized in that The microcontroller is further used to determine a first target range in which the vibration characteristic data is located in a plurality of 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.

3. The system according to claim 1, characterized in that The microcontroller is further used to determine a second target range in which the vibration characteristic data is located in a plurality of mode ranges, wherein the vibration characteristic data includes an average vibration amplitude and a vibration frequency, determine the vibration mode corresponding to the second target range as a second target mode, determine the power adjustment coefficient corresponding to the second target mode as a 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 a 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: The first preset formula: ΔP = -k1A avg -k2f avg ; The second preset formula: ΔR = -m1A avg -m2f avg ; Among them, A avg is the average vibration amplitude, f avg is the vibration frequency, ΔP is the compressor power adjustment value, k1 and k2 are the target power coefficients, ΔR is the fan speed adjustment value, m1 and m2 are the target speed coefficients.

4. The system according to claim 3, characterized in that The system further comprises: a storage module; The storage module is used to store abnormal vibration data, wherein the abnormal vibration data refers to vibration characteristic data exceeding a preset safety threshold range; The microcontroller is also used to perform clustering operations on multiple abnormal vibration data historically stored in the storage module to divide the multiple abnormal vibration data into multiple vibration modes, and for each vibration mode, extract the vibration parameters corresponding to the vibration mode and obtain the initial adjustment parameters corresponding to the vibration mode, and fit the corresponding power adjustment coefficient and speed adjustment coefficient according to the vibration parameters and the initial adjustment parameters.

5. The system according to claim 4, characterized in that The storage module is further used to store adjustment effects, wherein the adjustment effects include temperature fluctuation data and energy consumption data; The microcontroller is also used to optimize the power adjustment coefficient and the speed adjustment coefficient corresponding to each vibration mode according to the temperature fluctuation data and the energy consumption data, so as to achieve the goal of minimizing temperature control error and energy consumption.

6. The system according to claim 1, characterized in that The microcontroller is further used to send a restoration instruction to the control module to restore the original setting value when the vibration state is restored to a normal state; The control module is used to control the compressor and the fan to gradually recover to the original set values ​​according to the instruction of the recovery instruction.

7. The system according to claim 1, characterized in that The system further comprises: an alarm device; The microcontroller is further used to send an alarm instruction to the alarm device when the vibration state is abnormal; The alarm device is used to perform an alarm operation according to the instruction of the alarm instruction.

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

9. The system according to claim 1, characterized in that The microcontroller is further used to perform data preprocessing on the vibration signal through a low-pass filter to obtain target data, and perform feature extraction on the target data to obtain the vibration feature data.

10. A temperature control method, characterized in that: The method comprises: Monitoring a vibration signal of a cold chain device, wherein the vibration signal is used to characterize a vibration state of the cold chain device; Performing signal processing on the vibration signal to obtain vibration characteristic data; Analyzing the vibration state of the cold chain equipment according to the vibration characteristic data; In the case where the vibration state is an abnormal state, determining a compressor power adjustment value and a fan speed adjustment value according to 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.

11. A cold chain equipment, including 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 described in any one of claims 1 to 9, 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 described in claim 10.

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