Cloud real-time temperature control system for blood cold chain transportation

Abstract

The invention relates to the technical field of cold chain transportation temperature control, in particular to a cloud real-time temperature control system for blood cold chain transportation. The temperature detection unit detects the temperature of a blood box and the temperature of a compartment in real time; the data transmission unit uploads the blood box temperature data, the compartment temperature data and the vehicle position information to a cloud server; the virtual model unit is used for constructing a vehicle virtual model on the cloud server; the temperature threshold detection unit monitors whether the blood box temperature and the compartment temperature exceed a threshold range or not; the temperature regulation and control unit is used for manually and cloud regulating and controlling the temperature of the compartment and comprehensively regulating and controlling the temperature of the blood box according to the influence of the compartment temperature on the internal temperature of the blood box. According to the cloud real-time temperature control system for blood cold chain transportation, the virtual compartment environment and the blood box are constructed, the temperature change of the compartment and the blood box and the running path of the vehicle are monitored in real time, the influence factors of the compartment temperature on the blood box temperature are introduced, and the blood box temperature is precisely regulated and controlled.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control for cold chain transportation, and in particular to a cloud-based real-time temperature control system for cold chain transportation of blood. Background Art

[0002] A cloud-based real-time temperature control system for cold-chain blood transportation is designed to monitor changes in compartment temperature in real time and respond to temperature fluctuations caused by different transportation routes and driving conditions. By building a virtual compartment environment and blood box on a cloud server, changes in the temperature inside the compartment are controlled to ensure the temperature inside the blood box is stable, reduce temperature fluctuations caused by changes in the external environment, and ensure the safety of blood throughout the entire transportation process.

[0003] The existing real-time temperature control system for cold chain blood transportation cannot consider the impact of environmental factors on the temperature changes of the carriage and the blood box. In addition, different driving conditions and external ambient temperatures affect the temperature changes of the carriage, and the temperature fluctuations of the blood box caused by the temperature changes of the carriage will eventually lead to unstable blood temperature and increased quality risks. Therefore, a cloud-based real-time temperature control system for cold chain blood transportation is designed. Summary of the invention

[0004] The purpose of the present invention is to provide a cloud-based real-time temperature control system for cold chain blood transportation, so as to solve the problem raised in the above background technology that the temperature changes in the carriage are affected by different driving conditions and external ambient temperature, and the temperature fluctuations of the blood box caused by the temperature changes in the carriage will eventually lead to unstable blood temperature and increased quality risks.

[0005] To achieve the above object, the present invention aims to provide a cloud-based real-time temperature control system for cold chain blood transportation, comprising:

[0006] A temperature detection unit, wherein the temperature detection unit uses a temperature sensor to detect the temperature of the blood box and the temperature of the carriage in real time;

[0007] It also includes a data transmission unit, which is used to collect blood box temperature data, compartment temperature data and vehicle location information, and upload the blood box temperature data, compartment temperature data and vehicle location information to a cloud server via a wireless transmission device;

[0008] Also included is a virtual model unit, which uses modeling software and cloud computing resources to build a vehicle virtual model on a cloud server;

[0009] It also includes a temperature threshold detection unit, which is used to monitor whether the temperature of the blood box and the temperature of the carriage exceed the threshold range and issue a temperature warning alarm;

[0010] It also includes a temperature control unit, which is used to manually and cloud-basedly control the temperature of the carriage, and according to the impact of the carriage temperature on the internal temperature of the blood box, manually and through a PID control algorithm to comprehensively control the temperature of the blood box.

[0011] As a further improvement of the technical solution, the temperature detection unit includes a blood box temperature detection module and a compartment temperature detection module;

[0012] Wherein, the blood box temperature detection module adopts a high-precision digital temperature sensor to monitor and collect blood box temperature data in real time, and transmit the blood box temperature data to the data transmission unit;

[0013] The compartment temperature detection module uses a temperature sensor to monitor and collect compartment temperature data in real time, and transmits the compartment temperature data to the data transmission unit.

[0014] As a further improvement of the technical solution, the data transmission unit includes a data collection module and a wireless transmission module;

[0015] The data collection module collects the blood box temperature data and the compartment temperature data from the temperature detection unit, as well as the vehicle position information, and integrates the blood box temperature data, the compartment temperature data and the vehicle position information through a Kalman filter to generate a unified data packet;

[0016] The wireless transmission module uses 5G wireless transmission to upload the unified data packet to the cloud server.

[0017] As a further improvement of the technical solution, the virtual model unit includes a virtual modeling module and a real-time data display module;

[0018] The virtual modeling module uses modeling software to build a vehicle virtual model, the vehicle virtual model includes the interior of the vehicle and the layout of the blood tank, and uploads the vehicle virtual model to a cloud server for storage and rendering;

[0019] The real-time data display module integrates the blood box temperature data and the compartment temperature data on the cloud server, as well as the collected vehicle location information, into the vehicle virtual model, and displays the compartment temperature, blood box temperature and blood box location as well as the vehicle location information in real time on the web page.

[0020] As a further improvement of the technical solution, the temperature threshold detection unit includes a temperature monitoring module and an alarm module;

[0021] Wherein, the temperature monitoring module monitors the blood box temperature and the compartment temperature in real time, and detects whether the blood box temperature is within the blood box temperature threshold range and whether the compartment temperature is within the compartment temperature threshold range;

[0022] The alarm module is based on an alarm strategy and displays the alarm status in real time in the vehicle virtual model and on the vehicle driving display screen when any temperature exceeds a threshold value.

[0023] As a further improvement of the technical solution, the temperature monitoring module monitors the blood box temperature and the compartment temperature in real time, and detects whether the blood box temperature and the compartment temperature exceed the temperature threshold range, involving the following steps:

[0024] S4.1. Obtaining real-time blood box temperature data and carriage temperature data on the cloud server;

[0025] S4.2. Set the minimum temperature threshold of the blood chamber and the highest threshold , set the minimum threshold of cabin temperature and the highest threshold ,

[0026] S4.3. Monitor whether the temperature data of the blood box is within the temperature threshold range of the blood box:

[0027] ;

[0028] in, For the The temperature of the blood chamber;

[0029] S4.4. Monitor whether the cabin temperature is within the cabin temperature threshold range: is the minimum threshold of blood box temperature; is the maximum temperature threshold of the blood box;

[0030] ;

[0031] Among them, the For the The temperature of the blood chamber.

[0032] As a further improvement of the technical solution, the temperature control unit includes a manual control module and a cloud control module;

[0033] Wherein, the manual control module is used for the carriage operator to manually control the blood box temperature and the carriage temperature through a physical thermostat;

[0034] The cloud control module is used to automatically control the compartment temperature through the PID control algorithm when an operator issues a command on the cloud server, and comprehensively control the temperature of the blood box through the PID control algorithm according to the influence of the compartment temperature on the internal temperature of the blood box.

[0035] As a further improvement of the technical solution, the cloud control module automatically adjusts the compartment temperature through a PID control algorithm by issuing instructions from an operator on the cloud server. The specific steps are as follows:

[0036] S5.1.1. The operator inputs the target value of the cabin temperature through the cloud monitoring interface ;

[0037] S5.1.2. Extract real-time cabin temperature data from the cloud server ;

[0038] S5.1.3. Calculate the temperature error between the real-time cabin temperature data and the cabin temperature target value :

[0039] ;

[0040] S5.1.4. Calculate the output of the carriage PID controller :

[0041] ;

[0042] in, It is the output of the PID controller, which is used to adjust the power of the refrigeration and heating equipment in the carriage; The gain coefficient of the proportional control part of the carriage PID control parameter; is the gain coefficient of the integral control part of the carriage PID control parameters; is the gain coefficient of the differential control part of the carriage PID control parameter; From time To current time The cumulative error of cabin temperature change; is the rate of change of the cabin temperature error, indicating the speed of change of the cabin temperature error;

[0043] S5.1.4, according to the control output , automatically adjust the refrigeration equipment in the car: When the temperature is low, the cooling power is increased to reduce the cabin temperature; When cooling, reduce the cooling power and increase the cabin temperature.

[0044] As a further improvement of the technical solution, the cloud control module comprehensively controls the temperature of the blood box through a PID control algorithm according to the influence of the compartment temperature on the internal temperature of the blood box. The specific steps are as follows:

[0045] S5.2.1. The operator inputs the target temperature value of the blood box through the cloud monitoring interface ;

[0046] S5.2.2. Extracting real-time cabin temperature data from the cloud server and blood chamber temperature data ;

[0047] S5.2.3, Introducing cabin temperature Heat transfer coefficient through the blood tank Affects blood tank temperature ;

[0048] S5.2.4. Calculate the temperature error between the real-time cabin temperature data and the cabin temperature target value ;

[0049] ;

[0050] S5.2.5. Calculate the blood tank PID controller output :

[0051] S5.2.6, according to the control output , automatically adjust the refrigeration equipment in the blood box: When the temperature of the blood chamber is lowered, the cooling power is increased; When the temperature of the blood chamber is too high, the cooling power is reduced and the temperature of the blood chamber is increased.

[0052] As a further improvement of this technical solution, in S5.2.3, the compartment temperature is introduced Heat transfer coefficient through the blood tank Affects blood tank temperature , the specific method is as follows:

[0053] ;

[0054] in, The effect of the carriage temperature on the blood tank temperature; is the heat transfer coefficient, which is determined by the material of the blood tank;

[0055] In S5.2.4, the temperature error between the real-time cabin temperature data and the cabin temperature target value is calculated. , the specific method is as follows:

[0056] ;

[0057] In S5.2.5, the blood box PID controller output is calculated , the specific method is as follows:

[0058] ;

[0059] in, The output of the blood box PID controller is used to adjust the power of the refrigeration equipment and heating equipment of the blood box; The gain coefficient of the proportional control part of the blood tank PID control parameter; is the gain coefficient of the integral control part of the blood tank PID control parameter; is the gain coefficient of the differential control part of the blood chamber PID control parameter; From time To current time The accumulated error of the blood chamber temperature change; is the rate of change of the temperature error of the blood chamber, indicating the speed of change of the temperature error of the blood chamber.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] 1. In this cloud-based real-time temperature control system for cold chain blood transportation, by building a virtual carriage environment and blood box on the cloud server, the temperature changes at various locations in the carriage, the status of the blood box, and the vehicle's driving path can be monitored in real time to ensure the safety of blood during the entire transportation process.

[0062] 2. In this cloud-based real-time temperature control system for cold chain blood transportation, the heat transfer coefficient is considered by introducing the influence of the compartment temperature on the blood box temperature in the PID control algorithm. , which can more accurately reflect the actual impact of the carriage temperature on the temperature of the blood box, thereby more accurately regulating the temperature of the blood box. The PID control algorithm not only adjusts according to the internal temperature of the blood box, but also comprehensively considers the indirect impact of changes in the carriage temperature on the temperature of the blood box, ensuring high precision and rapid response of temperature control, effectively reducing temperature fluctuations, maintaining the optimal temperature environment of blood during transportation, and ensuring blood quality and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is the overall flow chart of the present invention.

[0064] The meaning of each number in the figure is:

[0065] 1. Temperature detection unit; 2. Data transmission unit; 3. Virtual model unit; 4. Temperature threshold detection unit; 5. Temperature control unit. DETAILED DESCRIPTION

[0066] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0067] Example

[0068] See also Figure 1 As shown, a cloud-based real-time temperature control system for cold chain blood transportation is provided, including

[0069] The temperature detection unit 1 uses a temperature sensor to detect the blood box temperature and the compartment temperature in real time, including a blood box temperature detection module and a compartment temperature detection module;

[0070] Among them, the blood box temperature detection module uses a high-precision digital temperature sensor, real-time monitoring and collection of blood box temperature data, and the blood box temperature data is transmitted to the data transmission unit 2;

[0071] The cabin temperature detection module uses a temperature sensor to monitor and collect cabin temperature data in real time, and transmits the cabin temperature data to the data transmission unit 2.

[0072] It also includes a data transmission unit 2, which is used to collect blood box temperature data, compartment temperature data and vehicle location information, and upload the blood box temperature data, compartment temperature data and vehicle location information to a cloud server via a wireless transmission device, including a data collection module and a wireless transmission module;

[0073] The data collection module collects the blood box temperature data and the compartment temperature data from the temperature detection unit 1, as well as the vehicle position information, and integrates the blood box temperature data, the compartment temperature data and the vehicle position information through a Kalman filter to generate a unified data packet;

[0074] Use the Beidou satellite navigation system to obtain the vehicle's geographic location in real time, including vehicle information such as longitude, latitude and altitude;

[0075] The Kalman filter is used to integrate the blood box temperature data, the compartment temperature data, and the vehicle location information to generate a unified data packet, as follows:

[0076] S2.1. Obtaining blood box temperature data , Carriage temperature data and vehicle location information ;

[0077] S2.2. Set the initial state and the error covariance matrix ;

[0078] S2.3, based on the state estimation at the last moment and control input , predict the current state:

[0079] ;

[0080] in, For in time The predicted value of the system state; is the state transfer matrix; For in time An estimate of the system state; is the control input matrix; For in time System control input;

[0081] Forecast error covariance:

[0082] ;

[0083] in, For in time The covariance matrix of the system state prediction error; For in time The covariance matrix of the system state estimation error; is the process noise covariance matrix;

[0084] S2.4. Calculate the Kalman gain:

[0085] ;

[0086] in, is the Kalman gain matrix; For in time The covariance matrix of the system state prediction error; is the observation matrix; is the measurement noise covariance matrix;

[0087] Update the state estimate:

[0088] ;

[0089] in, For in time Actual measurements of system status, including blood tank temperature data , Carriage temperature data and vehicle location information ;

[0090] Update the error covariance:

[0091] ;

[0092] in, For in time The error covariance matrix after the system state is updated; is the identity matrix;

[0093] S2.5. The blood box temperature data, the compartment temperature data and the vehicle location information are integrated through the Kalman filter to generate a unified data packet:

[0094] ;

[0095] in, It is the estimated value after Kalman filter fusion;

[0096] The wireless transmission module uses 5G wireless transmission to upload unified data packets to the cloud server.

[0097] It also includes a virtual model unit 3, which uses modeling software and cloud computing resources to build a vehicle virtual model on a cloud server, including a virtual modeling module and a real-time data display module;

[0098] The virtual modeling module uses modeling software to build a vehicle virtual model, which includes the interior of the vehicle and the layout of the blood tank, and uploads the vehicle virtual model to a cloud server for storage and rendering;

[0099] The real-time data display module integrates the blood box temperature data and the car compartment temperature data on the cloud server, as well as the collected vehicle location information, into the vehicle virtual model, and displays the car compartment temperature, blood box temperature and blood box location as well as the vehicle location information in real time on the web page.

[0100] It also includes a temperature threshold detection unit 4, which is used to monitor whether the temperature of the blood box and the compartment temperature exceeds the threshold range and to issue a temperature warning alarm, including a temperature monitoring module and an alarm module;

[0101] The temperature monitoring module monitors the blood box temperature and the compartment temperature in real time, and detects whether the blood box temperature is within the blood box temperature threshold range and whether the compartment temperature is within the compartment temperature threshold range, involving the following steps:

[0102] S4.1. Obtain real-time blood box temperature data on the cloud server and cabin temperature data ;

[0103] S4.2. Set the minimum temperature threshold of the blood chamber and the highest threshold , set the minimum threshold of cabin temperature and the highest threshold ,

[0104] S4.3. Monitor whether the temperature data of the blood box is within the temperature threshold range of the blood box:

[0105] ;

[0106] in, For the The temperature of the blood chamber;

[0107] S4.4. Monitor whether the cabin temperature is within the cabin temperature threshold range: is the minimum threshold of blood box temperature; is the maximum temperature threshold of the blood box;

[0108] ;

[0109] in, For the The temperature of the blood chamber.

[0110] The alarm module is based on the alarm strategy. When any temperature exceeds the threshold, the alarm status is displayed in real time in the vehicle virtual model and on the vehicle driving display screen.

[0111] It also includes a temperature control unit 5, which is used to manually and cloud-basedly control the temperature of the carriage, and manually and through a PID control algorithm to comprehensively control the temperature of the blood box according to the influence of the carriage temperature on the internal temperature of the blood box, including a manual control module and a cloud-based control module;

[0112] Among them, the manual control module is used by the carriage operator to manually control the blood box temperature and the carriage temperature through the physical thermostat;

[0113] The cloud control module is used to automatically control the compartment temperature through the PID control algorithm by the operator issuing instructions on the cloud server, and comprehensively control the temperature of the blood box through the PID control algorithm according to the impact of the compartment temperature on the internal temperature of the blood box.

[0114] In the cloud control module, the operator issues a command on the cloud server to automatically adjust the cabin temperature through the PID control algorithm. The specific steps are as follows:

[0115] S5.1.1. The operator inputs the target value of the cabin temperature through the cloud monitoring interface ;

[0116] S5.1.2. Extract real-time cabin temperature data from the cloud server ;

[0117] S5.1.3. Calculate the temperature error between the real-time cabin temperature data and the cabin temperature target value :

[0118] ;

[0119] S5.1.4. Calculate the output of the carriage PID controller :

[0120] ;

[0121] in, It is the output of the PID controller, which is used to adjust the power of the refrigeration and heating equipment in the carriage; The gain coefficient of the proportional control part of the carriage PID control parameter; is the gain coefficient of the integral control part of the carriage PID control parameters; is the gain coefficient of the differential control part of the carriage PID control parameter; From time To current time The cumulative error of cabin temperature change; is the rate of change of the cabin temperature error, indicating the speed of change of the cabin temperature error;

[0122] Among them, the Ziegler-Nichols method is used to determine the PID parameters for cabin temperature control:

[0123] Turn off the integral and derivative functions, use only proportional control, and increase the proportional gain Until the system produces continuous oscillation, the critical proportional gain is obtained and the oscillation period ;

[0124] but ; ; ;

[0125] S5.1.4, according to the control output , automatically adjust the refrigeration equipment in the car: When the temperature is low, the cooling power is increased to reduce the cabin temperature; When cooling, reduce the cooling power and increase the cabin temperature.

[0126] The cloud control module comprehensively controls the temperature of the blood box through the PID control algorithm according to the impact of the compartment temperature on the internal temperature of the blood box. The specific steps are as follows:

[0127] S5.2.1. The operator inputs the target temperature value of the blood box through the cloud monitoring interface ;

[0128] S5.2.2. Extracting real-time cabin temperature data from the cloud server and blood chamber temperature data ;

[0129] S5.2.3, Introducing cabin temperature Heat transfer coefficient through the blood tank Affects blood tank temperature ;

[0130] S5.2.4. Calculate the temperature error between the real-time cabin temperature data and the cabin temperature target value ;

[0131] ;

[0132] S5.2.5. Calculate the blood tank PID controller output :

[0133] S5.2.6, according to the control output , automatically adjust the refrigeration equipment in the blood box: When the temperature of the blood chamber is lowered, the cooling power is increased; When the temperature of the blood chamber is too high, the cooling power is reduced and the temperature of the blood chamber is increased.

[0134] In S5.2.3, the cabin temperature is introduced Heat transfer coefficient through the blood tank Affects blood tank temperature , the specific method is as follows:

[0135] ;

[0136] in, The effect of the compartment temperature on the blood box temperature; is the heat transfer coefficient, which is determined by the material of the blood tank;

[0137] In S5.2.4, calculate the temperature error between the real-time cabin temperature data and the cabin temperature target value , the specific method is as follows:

[0138] ;

[0139] In S5.2.5, calculate the blood tank PID controller output , the specific method is as follows:

[0140] ;

[0141] in, The output of the blood box PID controller is used to adjust the power of the refrigeration equipment and heating equipment of the blood box; The gain coefficient of the proportional control part of the blood tank PID control parameter; is the gain coefficient of the integral control part of the blood tank PID control parameter; is the gain coefficient of the differential control part of the blood chamber PID control parameter; From time To current time The accumulated error of the blood chamber temperature change; is the rate of change of the temperature error of the blood chamber, indicating the speed of change of the temperature error of the blood chamber;

[0142] Among them, the Ziegler-Nichols method is used to determine the PID parameters of the blood box temperature control:

[0143] Turn off the integral and derivative functions, use only proportional control, and increase the proportional gain Until the system produces continuous oscillation, the critical proportional gain is obtained and the oscillation period ;

[0144] Calculate PID parameters according to the empirical formula:

[0145] P controller: ;

[0146] PI controller: , ;

[0147] PID Controller: , , .

[0148] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention, and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A cloud-based real-time temperature control system for cold chain blood transportation, characterized in that: include: A temperature detection unit (1), wherein the temperature detection unit (1) uses a temperature sensor to detect the temperature of the blood box and the temperature of the carriage in real time; A data transmission unit (2), the data transmission unit (2) being used to collect blood box temperature data, compartment temperature data and vehicle position information, and to upload the blood box temperature data, compartment temperature data and vehicle position information to a cloud server via a wireless transmission device; A virtual model unit (3), wherein the virtual model unit (3) uses modeling software and cloud computing resources to build a vehicle virtual model on a cloud server; A temperature threshold detection unit (4), the temperature threshold detection unit (4) being used to monitor whether the temperature of the blood box and the temperature of the carriage exceed a threshold range, and to issue a temperature warning alarm; A temperature control unit (5) is used to control the temperature of the carriage manually and in the cloud, and to control the temperature of the blood box manually and through a PID control algorithm according to the influence of the carriage temperature on the internal temperature of the blood box.

2. The cloud-based real-time temperature control system for cold chain blood transportation according to claim 1, characterized in that: The temperature detection unit (1) comprises a blood box temperature detection module and a compartment temperature detection module; The blood box temperature detection module adopts a high-precision digital temperature sensor to monitor and collect blood box temperature data in real time, and transmit the blood box temperature data to the data transmission unit (2); The cabin temperature detection module uses a temperature sensor to monitor and collect cabin temperature data in real time, and transmits the cabin temperature data to the data transmission unit (2).

3. The cloud-based real-time temperature control system for cold chain blood transportation according to claim 1, characterized in that: The data transmission unit (2) comprises a data collection module and a wireless transmission module; The data collection module collects blood box temperature data and vehicle compartment temperature data from the temperature detection unit (1), as well as vehicle position information, and integrates the blood box temperature data, vehicle compartment temperature data and vehicle position information through a Kalman filter to generate a unified data packet; The wireless transmission module uses 5G wireless transmission to upload the unified data packet to the cloud server.

4. The cloud-based real-time temperature control system for cold chain blood transportation according to claim 1, characterized in that: The virtual model unit (3) includes a virtual modeling module and a real-time data display module; The virtual modeling module uses modeling software to build a vehicle virtual model, the vehicle virtual model includes the interior of the vehicle and the layout of the blood tank, and uploads the vehicle virtual model to a cloud server for storage and rendering; The real-time data display module integrates the blood box temperature data and the compartment temperature data on the cloud server, as well as the collected vehicle location information, into the vehicle virtual model, and displays the compartment temperature, blood box temperature and blood box location as well as the vehicle location information in real time on the web page.

5. The cloud-based real-time temperature control system for cold chain blood transportation according to claim 1, characterized in that: The temperature threshold detection unit (4) comprises a temperature monitoring module and an alarm module; Wherein, the temperature monitoring module monitors the blood box temperature and the compartment temperature in real time, and detects whether the blood box temperature is within the blood box temperature threshold range and whether the compartment temperature is within the compartment temperature threshold range; The alarm module is based on an alarm strategy and displays the alarm status in real time in the vehicle virtual model and on the vehicle driving display screen when any temperature exceeds a threshold value.

6. The cloud-based real-time temperature control system for cold chain blood transportation according to claim 5, characterized in that: The temperature monitoring module monitors the blood box temperature and the compartment temperature in real time, and detects whether the blood box temperature and the compartment temperature exceed the temperature threshold range, involving the following steps: S4.

1. Obtaining real-time blood box temperature data and carriage temperature data on the cloud server; S4.

2. Set the minimum temperature threshold of the blood chamber and the highest threshold , set the minimum threshold of cabin temperature and the highest threshold , S4.

3. Monitor whether the temperature data of the blood box is within the temperature threshold range of the blood box: ； in, For the The temperature of the blood chamber; S4.

4. Monitor whether the cabin temperature is within the cabin temperature threshold range: is the minimum temperature threshold of the blood box; is the maximum temperature threshold of the blood box; ； Among them, the For the The temperature of the blood chamber.

7. The cloud-based real-time temperature control system for cold chain blood transportation according to claim 6, characterized in that: The temperature control unit (5) comprises a manual control module and a cloud control module; Wherein, the manual control module is used for the carriage operator to manually control the blood box temperature and the carriage temperature through a physical thermostat; The cloud control module is used to automatically control the compartment temperature through the PID control algorithm when an operator issues a command on the cloud server, and comprehensively control the temperature of the blood box through the PID control algorithm according to the influence of the compartment temperature on the internal temperature of the blood box.

8. The cloud-based real-time temperature control system for cold chain blood transportation according to claim 7, characterized in that: The cloud control module automatically adjusts the cabin temperature through the PID control algorithm by the operator issuing instructions on the cloud server. The specific steps are as follows: S5.1.

1. The operator inputs the target value of the cabin temperature through the cloud monitoring interface ; S5.1.

2. Extract real-time cabin temperature data from the cloud server ; S5.1.

3. Calculate the temperature error between the real-time cabin temperature data and the cabin temperature target value : ； S5.1.

4. Calculate the output of the carriage PID controller : ； in, It is the output of the PID controller, which is used to adjust the power of the refrigeration and heating equipment in the carriage; The gain coefficient of the proportional control part of the carriage PID control parameter; is the gain coefficient of the integral control part of the carriage PID control parameters; is the gain coefficient of the differential control part of the carriage PID control parameter; From time To current time The cumulative error of cabin temperature change; is the rate of change of the cabin temperature error, indicating the speed of change of the cabin temperature error; S5.1.4, according to the control output , automatically adjust the refrigeration equipment in the car: When the temperature is low, the cooling power is increased to reduce the cabin temperature; When cooling, reduce the cooling power and increase the cabin temperature.

9. The cloud-based real-time temperature control system for cold chain blood transportation according to claim 8, characterized in that: The cloud control module comprehensively controls the temperature of the blood box through a PID control algorithm according to the influence of the compartment temperature on the internal temperature of the blood box. The specific steps are as follows: S5.2.

1. The operator inputs the target temperature value of the blood box through the cloud monitoring interface ; S5.2.

2. Extracting real-time cabin temperature data from the cloud server and blood chamber temperature data ; S5.2.3, Introducing cabin temperature Heat transfer coefficient through the blood tank Affects blood tank temperature ; S5.2.

4. Calculate the temperature error between the real-time cabin temperature data and the cabin temperature target value ; ； S5.2.

5. Calculate the blood tank PID controller output : S5.2.6, according to the control output , automatically adjust the refrigeration equipment in the blood box: When the temperature of the blood chamber is lowered, the cooling power is increased; When the temperature of the blood chamber is too high, the cooling power is reduced and the temperature of the blood chamber is increased.

10. The cloud-based real-time temperature control system for cold chain blood transportation according to claim 9, characterized in that: In S5.2.3, the cabin temperature is introduced Heat transfer coefficient through the blood tank Affects blood tank temperature , the specific method is as follows: ； in, The effect of the carriage temperature on the blood tank temperature; is the heat transfer coefficient, which is determined by the material of the blood tank; In S5.2.4, the temperature error between the real-time cabin temperature data and the cabin temperature target value is calculated. , the specific method is as follows: ； In S5.2.5, the blood tank PID controller output is calculated , the specific method is as follows: ； in, The output of the blood box PID controller is used to adjust the power of the refrigeration equipment and heating equipment of the blood box; The gain coefficient of the proportional control part of the blood tank PID control parameter; is the gain coefficient of the integral control part of the blood tank PID control parameter; is the gain coefficient of the differential control part of the blood chamber PID control parameter; From time To current time The accumulated error of the blood chamber temperature change; is the rate of change of the temperature error of the blood chamber, indicating the speed of change of the temperature error of the blood chamber.

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