Abnormal monitoring and warning system and method based on cold chain transportation

By introducing temperature monitoring and associated control centers into the cold chain transportation system, identifying temperature abnormalities and adjusting the direct direction and air volume of cold air, the problem of poor cold chain transportation in the existing technology is solved, and more refined temperature control and monitoring is achieved Effect.

CN119323392AActive Publication Date: 2025-01-17SHENZHEN LIUXIN TECH CO LTD
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Patent Information

Application Number
CN202411354987.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-27
Publication Date
2025-01-17
Estimated Expiration
2044-09-27

AI Technical Summary

Technical Problem

The existing cold chain transportation monitoring system failed to make specific changes in the direction of direct cold air injection to the specific cargo in the car, resulting in poor cold chain transportation.

Method used

A cold chain transportation abnormality monitoring and alarm system is designed, including a temperature monitoring center and an associated control center. The temperature abnormality is identified through the temperature monitoring unit, the temperature assessment unit and the early warning analysis unit, and the stacking identification unit and the direct midpoint confirmation unit are used. The injection direction and air volume of the refrigeration equipment are adjusted with the associated control end to adapt to changes in the cargo stacking model.

Benefits of technology

It realizes more refined monitoring and control of the internal temperature of the carriage to ensure the improvement of the cold chain transportation effect. By identifying the temperature characteristics and cargo stacking model, adjusting the direct cold air inlet point and air volume, the overall effect of cold chain transportation is improved.

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Abstract

The invention discloses an abnormal monitoring and warning system and method based on cold chain transportation, relates to the technical field of cold chain transportation, and solves the problem that specific change of the cold air direct injection direction is not carried out aiming at the change state of specific goods in a compartment. According to the method, a specific change model of cargo stacking is determined in real time based on the specific change condition of cargoes in a compartment in each unloading process, then relevant confirmation of a direct injection point is carried out based on an actual center point of the corresponding change model, and then relevant refrigeration equipment is controlled based on the confirmed direct injection point, so that a better refrigeration control effect can be achieved in the compartment; and a better cold chain transportation effect is achieved.
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Description

Technical Field

[0001] The present invention relates to the technical field of cold chain transportation, and in particular to a cold chain transportation abnormality monitoring and alarm system and method. Background Art

[0002] Cold chain transportation is a logistics method that ensures the quality and safety of perishable goods during transportation within a specific temperature range. For perishable goods such as fresh food and frozen food, cold chain transportation can maintain a suitable temperature, prevent bacterial growth and food spoilage, and ensure the freshness, taste and nutritional value of the food.

[0003] The application with publication number CN105425871A discloses a cold chain transport vehicle monitoring system based on ZigBee, including a ZigBee RF module, a communication module, a power module, a battery, a solar power generation device, an alarm, a setting panel, an indicator light, an LED display screen, and a sensor module; the ZigBee RF module is respectively connected to the communication module, the power module, the alarm, the setting panel, the indicator light, the LED display screen, and the sensor module; the power module, the battery, and the solar power generation device are connected in sequence; the system of the present invention can monitor the environmental conditions inside the logistics vehicle in real time, and has an abnormal situation alarm function, and the monitored real-time data can be transmitted to a server or a mobile phone of relevant personnel through the communication module, so that the person in charge can know the situation inside the logistics vehicle in real time.

[0004] During the monitoring process of cold chain transportation, the corresponding alarm process is generally implemented based on the specific temperature monitored in the carriage. However, the original monitoring system only implemented a relatively simple alarm method, and did not make specific changes to the direct direction of cold air according to the changing status of specific goods in the carriage, so as to ensure the specific cold chain environment of the corresponding carriage and achieve better cold chain transportation effects. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an abnormal monitoring and alarm system and method based on cold chain transportation, which solves the problem of not making specific changes to the direct direction of cold air according to the changing state of specific goods in the carriage.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: Based on the abnormal monitoring and alarm system for cold chain transportation, it includes a temperature monitoring center and an associated control center, wherein the temperature control center is used to monitor the temperature inside the cold chain transportation vehicle, and the associated control center controls the temperature injection direction and related air volume inside the cold chain operation vehicle;

[0007] The temperature monitoring center includes temperature monitoring unit, temperature assessment unit and early warning analysis unit:

[0008] The temperature monitoring unit monitors the temperature of the internal monitoring nodes of the cold chain transport vehicle in real time and transmits the real-time monitored temperature to the temperature assessment unit. The internal monitoring nodes are monitoring sensors set at designated locations inside the vehicle.

[0009] The temperature assessment unit locks the correlation mean of different temperatures at different monitoring nodes based on the different temperatures monitored in real time by different monitoring nodes, and assesses whether the internal temperature of the cold chain transport vehicle is abnormal based on the determined correlation mean. The specific method is as follows:

[0010] The different temperatures monitored in real time by different monitoring nodes are calibrated as W i , where i represents different monitoring nodes;

[0011] Set several groups of temperatures W i Perform mean processing to determine the associated mean Jw, and compare the associated mean Jw with the set standard temperature Bz, where the standard temperature Bz is the temperature set by the vehicle cabin air conditioner. If Jw>Bz, it means that the temperature inside the vehicle is abnormal, and the different temperatures of the different monitoring nodes monitored are transmitted to the early warning analysis unit. If Jw≤Bz, it means that the temperature inside the vehicle is normal, and the subsequent related monitoring process continues;

[0012] The early warning analysis unit, based on the different temperatures monitored by different monitoring nodes in the current cold chain transport vehicle, based on the node position and the set processing cycle, sorts the temperatures to determine the temperature set, and based on the changes in the adjacent temperatures of the temperature set, assesses whether alarm processing is required and generates a temperature control signal or an alarm signal. The specific method is as follows:

[0013] Based on the set processing cycle, which is a preset cycle, several groups of different temperatures monitored by the same monitoring node in the processing cycle are averaged to determine the associated temperature belonging to the monitoring node;

[0014] Based on the relative positions of the monitoring nodes, the compartments are sorted from one side to the other side of the door, and several groups of associated temperatures determined by the monitoring nodes are sorted to determine a temperature set, wherein a position mark is set inside the monitoring node;

[0015] Identify the decreasing column and the increasing column from the determined temperature set: determine the relevant difference Cz between adjacent temperatures, where Cz=(W1-W2), where W1 is the previous temperature in the adjacent temperatures, and W2 is the next temperature in the adjacent temperatures;

[0016] If Cz>0, and Cz>Y1, where Y1 is a preset value, the data column of this adjacent temperature is marked as a reduced column;

[0017] If Cz<0, and Cz<(-Y1), the data column of this adjacent temperature is marked as a rising column;

[0018] Otherwise, no relevant calibration is performed for the lowered and raised columns;

[0019] If there is only a decreasing column but no increasing column in the temperature set, a temperature control signal is generated and transmitted to the associated control center;

[0020] For the relevant situation that only the decreasing column exists but the increasing column does not exist in the temperature set, an alarm signal is generated for display;

[0021] The associated control center includes a stacking identification unit, a direct midpoint confirmation unit and an associated control terminal:

[0022] The stacking recognition unit associates and recognizes the cargo stacking model inside the cold chain compartment, and transmits the confirmed cargo stacking model to the direct midpoint confirmation unit. The specific method is as follows:

[0023] Based on the sonic detection equipment installed in the cold chain compartment, the sonic detection equipment is set in advance by the relevant operator at the designated position of the compartment to perform sonic detection on the relevant goods stored in the compartment, lock the surface parameters of the corresponding relevant goods and generate the goods stacking model of the corresponding goods;

[0024] Transmitting the cargo stacking model body confirmed in real time to the direct midpoint confirmation unit;

[0025] The direct center confirmation unit determines the direct center point of the corresponding air outlet based on the real-time confirmed cargo stacking model body and the internal center point of the corresponding cargo stacking model body, and transmits the determined direct center point to the associated control terminal, specifically in the following manner:

[0026] Based on the cargo stacking model body confirmed in real time, the external plane contour of the corresponding cargo stacking model body is locked, the external plane contour is placed in a three-dimensional space coordinate system, the three-dimensional space coordinates of different points in the external plane contour are confirmed, and then based on the three-dimensional space coordinates of the confirmed several points, the several three-dimensional space coordinates are averaged to determine the average coordinates, the three-dimensional space point is determined based on the average coordinates, and the three-dimensional space point is calibrated as the center point of the cargo stacking model body;

[0027] Identify the number of cargo stacking model bodies G:

[0028] If G is 1, the center point of the cargo stacking model is directly used as the direct center point, and the determined direct center point is transmitted to the associated control terminal;

[0029] If G is 2, the center points of the corresponding cargo stacking model bodies are interconnected to determine a connection line, the center point of the connection line is used as the direct center point, and the determined direct center point is transmitted to the associated control terminal;

[0030] If G>2, the center points of several cargo stacking model bodies are interconnected, and the base body or base surface generated by the interconnection is confirmed. For the base body, the center point is determined by using a three-dimensional space coordinate system, and for the base surface, the center point is determined by using a two-dimensional coordinate system. The determined center point is used as the direct center point, and the determined direct center point is transmitted to the associated control terminal;

[0031] The associated control end includes a posture control unit and an air volume control unit, wherein the posture control unit adjusts the spray direction of the corresponding refrigeration device spray port so that the spray direction is aligned with the determined direct center point;

[0032] The air volume control unit adjusts the air volume of the refrigeration device based on the received temperature control signal to increase the air volume of the refrigeration device. If the temperature control signal continues to exist, the air volume continues to increase.

[0033] Preferably, the cold chain transportation abnormality monitoring and alarm method comprises the following steps:

[0034] Step 1: Prioritize real-time monitoring of the temperature of the internal monitoring nodes of the cold chain transport vehicle, and then lock the correlation mean of different temperatures at different monitoring nodes based on the different temperatures monitored in real time by different monitoring nodes, and assess whether the internal temperature of the cold chain transport vehicle is abnormal based on the determined correlation mean;

[0035] Step 2: When the temperature inside the vehicle is abnormal, the different temperatures monitored by different monitoring nodes are numerically confirmed, the associated temperatures within the cycle are obtained by determining the processing cycle, and the associated temperatures are sorted based on the position marks inside the monitoring nodes to lock the temperature set;

[0036] Step three, confirm the temperature difference between adjacent nodes in the temperature set, lock the related decrease column and increase column based on the confirmed related difference characteristics, and generate a temperature control signal if there is only a decrease column but no increase column in this temperature set. For the relevant situation where there is only a decrease column but no increase column in the temperature set, an alarm signal is generated for display.

[0037] The present invention provides a cold chain transportation abnormality monitoring and alarm system and method. Compared with the prior art, it has the following beneficial effects:

[0038] The present invention monitors the actual temperature inside the vehicle, locks its specific temperature characteristics based on different temperature data monitored at different monitoring nodes, and then identifies whether the temperature inside the vehicle is abnormal based on the specific changes in the temperature characteristics. Based on the specific identification processing results, the specific alarm signal is locked and displayed, thereby ensuring the comprehensiveness of the alarm and monitoring and achieving better monitoring and alarm effects.

[0039] Regarding the temperature control inside the vehicle, based on the specific changes of the goods in the compartment during each unloading process, the specific change model of the cargo stacking is determined in real time, and then based on the actual center point of the corresponding change model, the relevant confirmation of the direct point is carried out. Subsequently, the relevant refrigeration equipment is controlled based on the confirmed direct point, so that better refrigeration control effect can be achieved in the compartment, and better cold chain transportation effect can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the principle framework of the present invention;

[0041] Figure 2 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0042] 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.

[0043] First embodiment

[0044] See also Figure 1 , the present application provides an abnormal monitoring and alarm system based on cold chain transportation, including a temperature monitoring center and an associated control center, wherein the temperature control center is used to monitor the temperature inside the cold chain transportation vehicle, and the associated control center controls the temperature injection direction and related air volume inside the cold chain operation vehicle;

[0045] The temperature monitoring center includes a temperature monitoring unit, a temperature assessment unit and an early warning analysis unit, wherein the temperature monitoring unit, the temperature assessment unit and the early warning analysis unit are electrically connected from the output node to the input node in sequence;

[0046] The temperature monitoring unit monitors the temperature of the internal monitoring nodes of the cold chain transport vehicle in real time and transmits the real-time monitored temperature to the temperature assessment unit. The internal monitoring node is a monitoring sensor set at a designated location inside the vehicle. It is set in advance by relevant operators at the designated node of the vehicle to monitor the temperature data of the designated node in real time.

[0047] The temperature assessment unit, based on the different temperatures monitored in real time by different monitoring nodes, locks the correlation mean of different temperatures at different monitoring nodes, and assesses whether the internal temperature of the cold chain transport vehicle is abnormal based on the determined correlation mean. The specific method of assessment is as follows:

[0048] The different temperatures monitored in real time by different monitoring nodes are calibrated as W i , where i represents different monitoring nodes;

[0049] Set several groups of temperatures W i Perform mean processing to determine the associated mean Jw, and compare the associated mean Jw with the set standard temperature Bz, where the standard temperature Bz is the temperature set by the vehicle compartment air conditioner and can be directly obtained. If Jw>Bz, it means that the temperature inside the vehicle is abnormal, and the different temperatures of the different monitoring nodes monitored are transmitted to the early warning analysis unit. If Jw≤Bz, it means that the temperature inside the vehicle is normal, and the subsequent related monitoring process continues;

[0050] Specifically, when the door of the vehicle is opened, the cold air inside will diffuse to the outside, and the relevant temperature monitored by the monitoring nodes located on the periphery will increase, causing the determined correlation mean to change accordingly. In this case, the temperature inside the car is abnormal, but this temperature has relevant numerical characteristics, and the temperature from the outer monitoring node to the inner monitoring node is in a gradually decreasing state.

[0051] The early warning analysis unit, based on the different temperatures monitored by different monitoring nodes in the current cold chain transport vehicle, sorts the temperatures to determine the temperature set based on the node position and the set processing cycle, and evaluates whether an alarm is needed based on the change of adjacent temperatures in the temperature set. Specifically, when the door is opened, the change characteristics of its temperature data change one by one, so no alarm is needed;

[0052] The specific methods of assessment are as follows:

[0053] Based on the set processing cycle, which is a preset cycle and is prepared by the operator based on experience, several groups of different temperatures monitored by the same monitoring node within the processing cycle are averaged to determine the associated temperature belonging to this monitoring node;

[0054] Based on the relevant position of the monitoring node, the compartments are sorted from one side to the other side of the door, and several groups of related temperatures determined by the monitoring node are sorted to determine the temperature set. The monitoring node is internally provided with a position mark, and the relevant sorting can be performed based on the originally set position mark;

[0055] Identify the decreasing column and the increasing column from the determined temperature set: determine the relevant difference Cz between adjacent temperatures, where Cz=(W1-W2), where W1 is the previous temperature in the adjacent temperatures, and W2 is the next temperature in the adjacent temperatures;

[0056] If Cz>0, and Cz>Y1, where Y1 is a preset value, and its specific value is determined by the operator based on experience, the data column of this adjacent temperature is marked as a reduced column;

[0057] If Cz<0, and Cz<(-Y1), the data column of this adjacent temperature is calibrated as an ascending column; otherwise, no relevant calibration is performed for the descending column and the ascending column;

[0058] If there is only a decreasing column but no increasing column in this temperature set, it means that the door of this compartment is open, causing the external heat flow to flow into the compartment, so no relevant warning is issued, and a temperature control signal is generated synchronously and transmitted to the associated control center;

[0059] For the situation that there is only a decreasing column but no increasing column in the temperature set, an alarm signal is generated for display. Specifically, such situations are generally that there is only an increasing column in the temperature set, there are no decreasing columns or increasing columns in the temperature set, there are both decreasing columns and increasing columns in the temperature set, etc., which are all related situations of abnormal temperature. Relevant signal display is required to assess whether the temperature inside the car is normal or whether it is caused by an internal heat source, and relevant response measures need to be taken in time.

[0060] Second embodiment

[0061] The abnormal monitoring and alarm method based on cold chain transportation includes the following steps:

[0062] Step 1: Prioritize real-time monitoring of the temperature of the internal monitoring nodes of the cold chain transport vehicle, and then lock the correlation mean of different temperatures at different monitoring nodes based on the different temperatures monitored in real time by different monitoring nodes, and assess whether the internal temperature of the cold chain transport vehicle is abnormal based on the determined correlation mean;

[0063] Step 2: When the temperature inside the vehicle is abnormal, the different temperatures monitored by different monitoring nodes are numerically confirmed, the associated temperatures within the cycle are obtained by determining the processing cycle, and the associated temperatures are sorted based on the position marks inside the monitoring nodes to lock the temperature set;

[0064] Step three, confirm the temperature difference between adjacent nodes in the temperature set, lock the related decrease column and increase column based on the confirmed related difference characteristics, and generate a temperature control signal if there is only a decrease column but no increase column in this temperature set. For the relevant situation where there is only a decrease column but no increase column in the temperature set, an alarm signal is generated for display.

[0065] Third embodiment

[0066] Its associated control center includes a stacking identification unit, a direct midpoint confirmation unit and an associated control end, wherein the stacking identification unit, the direct midpoint confirmation unit and the associated control end are all electrically connected from the output node to the input node, and the associated control end includes a posture control unit and an air volume control unit, wherein the posture control unit controls the injection direction of the refrigeration equipment, and the air volume control unit performs related control on the injection air volume of the refrigeration equipment;

[0067] The stacking identification unit associates and identifies the cargo stacking model inside the cold chain compartment, and transmits the confirmed cargo stacking model to the direct midpoint confirmation unit. The specific method of confirming the relevant cargo stacking is:

[0068] Based on the sound wave detection equipment installed in the cold chain compartment, the sound wave detection equipment is set in advance by the relevant operator at the designated position of the compartment, and the relevant goods stored in the compartment are detected by sound waves, the surface parameters of the corresponding relevant goods are locked and the goods stacking model of the corresponding goods is generated. Specifically, since the method of using sound wave detection to generate the corresponding object model is more common in the prior art, it will not be described in detail here. Generally, the specific appearance shape of the goods is identified based on the relevant parameters of the sound wave feedback, so as to determine the specific model of the goods;

[0069] Transmitting the cargo stacking model body confirmed in real time to the direct midpoint confirmation unit;

[0070] Specifically, the reason for the specific confirmation of the relevant model body is to determine the jet center of the cold air, so as to achieve better temperature control effect.

[0071] The direct center confirmation unit determines the direct center point of the corresponding air outlet based on the real-time confirmed cargo stacking model body and the internal center point of the corresponding cargo stacking model body, and transmits the determined direct center point to the associated control terminal, wherein the specific method of determining the direct center point is:

[0072] Based on the cargo stacking model body confirmed in real time, the external plane contour of the corresponding cargo stacking model body is locked, the external plane contour is placed in a three-dimensional space coordinate system, the three-dimensional space coordinates of different points in the external plane contour are confirmed, and then based on the three-dimensional space coordinates of the confirmed several points, the several three-dimensional space coordinates are averaged to determine the average coordinates, the three-dimensional space point is determined based on the average coordinates, and the three-dimensional space point is calibrated as the center point of the cargo stacking model body;

[0073] Identify the number of cargo stacking model bodies G:

[0074] If G is 1, the center point of the cargo stacking model is directly used as the direct center point, and the determined direct center point is transmitted to the associated control terminal;

[0075] If G is 2 (indicating that there are multiple related model bodies in the carriage), the center points of the corresponding cargo stacking model bodies are interconnected, a connecting line is determined, the center point of the connecting line is used as the direct center point, and the determined direct center point is transmitted to the associated control terminal;

[0076] If G>2, the center points of several cargo stacking model bodies are interconnected, and the base body or base surface generated by the interconnection is confirmed. For the base body, the center point is determined by a three-dimensional space coordinate system, and for the base surface, the center point is determined by a two-dimensional coordinate system. The determined center point is used as the direct center point and transmitted to the associated control terminal. For the base surface, the same method is used to lock the internal points, and the relevant confirmation of the center coordinates is performed based on the locked points to lock the corresponding direct center point.

[0077] The attitude control unit inside the associated control end adjusts the spray direction of the corresponding refrigeration equipment spray port to align the spray direction with the determined direct center point. The subsequent direct center point will change with the specific changes of the cargo stacking model. By adjusting the spray direction in real time, the refrigeration effect of the entire compartment can be guaranteed in real time.

[0078] Its air volume control unit adjusts the air volume of the refrigeration equipment based on the received temperature control signal, thereby increasing the air volume of the refrigeration equipment. If the temperature control signal persists, the air volume continues to increase. When the temperature inside the vehicle is normal, the temperature control signal will disappear, thereby ensuring the specific cooling effect inside the vehicle.

[0079] Fourth embodiment

[0080] The specific implementation process of this embodiment includes all the implementation processes of the above three groups of embodiments.

[0081] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0082] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. Based on the abnormal monitoring and alarm system of cold chain transportation, it is characterized by: It includes a temperature monitoring center and an associated control center, wherein the temperature control center is used to monitor the temperature inside the cold chain transport vehicle, and the associated control center controls the temperature injection direction and related air volume inside the cold chain operation vehicle; The temperature monitoring center includes temperature monitoring unit, temperature assessment unit and early warning analysis unit: The temperature monitoring unit monitors the temperature of the internal monitoring nodes of the cold chain transport vehicle in real time and transmits the real-time monitored temperature to the temperature assessment unit. The internal monitoring nodes are monitoring sensors set at designated locations inside the vehicle. The temperature assessment unit locks the correlation mean of different temperatures at different monitoring nodes based on the different temperatures monitored in real time by different monitoring nodes, and assesses whether the internal temperature of the cold chain transport vehicle is abnormal based on the determined correlation mean; The early warning analysis unit, based on the different temperatures monitored by different monitoring nodes in the current cold chain transport vehicle, based on the node position and the set processing cycle, sorts the temperatures to determine the temperature set, and based on the changes in the adjacent temperatures of the temperature set, evaluates whether alarm processing is required and generates a temperature control signal or an alarm signal; The associated control center includes a stacking identification unit, a direct midpoint confirmation unit and an associated control terminal: The stacking recognition unit associates and recognizes the cargo stacking model inside the cold chain compartment, and transmits the confirmed cargo stacking model to the direct midpoint confirmation unit; The direct center confirmation unit determines the direct center point of the corresponding air outlet based on the real-time confirmed cargo stacking model body and the internal center point of the corresponding cargo stacking model body, and transmits the determined direct center point to the associated control terminal; The associated control end includes a posture control unit and an air volume control unit, wherein the posture control unit adjusts the spray direction of the corresponding refrigeration device spray port so that the spray direction is aligned with the determined direct center point; The air volume control unit adjusts the air volume of the refrigeration device based on the received temperature control signal to increase the air volume of the refrigeration device. If the temperature control signal continues to exist, the air volume continues to increase.

2. The cold chain transportation abnormality monitoring and alarm system according to claim 1 is characterized in that: The temperature assessment unit performs the assessment in the following specific manner: The different temperatures monitored in real time by different monitoring nodes are calibrated as W i , where i represents different monitoring nodes; Set several groups of temperatures W i Perform mean processing to determine the associated mean Jw, and compare the associated mean Jw with the set standard temperature Bz, where the standard temperature Bz is the temperature set for the vehicle's cabin air conditioner. If Jw>Bz, it means that the temperature inside the vehicle is abnormal, and the different temperatures of the different monitoring nodes monitored are transmitted to the early warning analysis unit. If Jw≤Bz, it means that the temperature inside the vehicle is normal, and the subsequent related monitoring process continues.

3. The cold chain transportation abnormality monitoring and alarm system according to claim 2 is characterized in that: The specific method of the early warning analysis unit to assess whether alarm processing is required is: Based on the set processing cycle, which is a preset cycle, several groups of different temperatures monitored by the same monitoring node in the processing cycle are averaged to determine the associated temperature belonging to the monitoring node; Based on the relative positions of the monitoring nodes, the compartments are sorted from one side to the other side of the door, and several groups of associated temperatures determined by the monitoring nodes are sorted to determine a temperature set, wherein a position mark is set inside the monitoring node; Identify the decreasing column and the increasing column from the determined temperature set: determine the relevant difference Cz between adjacent temperatures, where Cz=(W1-W2), where W1 is the previous temperature in the adjacent temperatures, and W2 is the next temperature in the adjacent temperatures; If Cz>0, and Cz>Y1, where Y1 is a preset value, the data column of this adjacent temperature is marked as a reduced column; If Cz<0, and Cz<(-Y1), the data column of this adjacent temperature is marked as a rising column; Otherwise, no relevant calibration is performed for the lowered and raised columns; If there is only a decreasing column and no increasing column in the temperature set, a temperature control signal is generated and transmitted to the associated control center.

4. The cold chain transportation abnormality monitoring and alarm system according to claim 3 is characterized in that: For the relevant situation that only the decreasing column but no increasing column exists in the temperature set, an alarm signal is generated for display.

5. The cold chain transportation abnormality monitoring and alarm system according to claim 1 is characterized in that: The stacking identification unit confirms the relevant cargo stacking model in the following specific manner: Based on the sonic detection equipment installed in the cold chain compartment, the sonic detection equipment is set in advance by the relevant operator at the designated position of the compartment to perform sonic detection on the relevant goods stored in the compartment, lock the surface parameters of the corresponding relevant goods and generate the goods stacking model of the corresponding goods; The cargo stacking model body confirmed in real time is transmitted to the direct midpoint confirmation unit.

6. The cold chain transportation abnormality monitoring and alarm system according to claim 5 is characterized in that: The direct center confirmation unit determines the direct center point in a specific manner as follows: Based on the cargo stacking model body confirmed in real time, the external plane contour of the corresponding cargo stacking model body is locked, the external plane contour is placed in a three-dimensional space coordinate system, the three-dimensional space coordinates of different points in the external plane contour are confirmed, and then based on the three-dimensional space coordinates of the confirmed several points, the several three-dimensional space coordinates are averaged to determine the average coordinates, the three-dimensional space point is determined based on the average coordinates, and the three-dimensional space point is calibrated as the center point of the cargo stacking model body; Identify the number of cargo stacking model bodies G: If G is 1, the center point of the cargo stacking model is directly used as the direct center point, and the determined direct center point is transmitted to the associated control terminal; If G is 2, the center points of the corresponding cargo stacking model bodies are interconnected to determine a connection line, the center point of the connection line is used as the direct center point, and the determined direct center point is transmitted to the associated control terminal; If G>2, the center points of several cargo stacking model bodies are interconnected, and the base body or base surface generated by the interconnection is confirmed. For the base body, the center point is determined by a three-dimensional space coordinate system, and for the base surface, the center point is determined by a two-dimensional coordinate system. The determined center point is used as the direct center point and transmitted to the associated control terminal.

7. A cold chain transportation abnormality monitoring and alarm method, the method being applied to the cold chain transportation abnormality monitoring and alarm system according to any one of claims 1 to 4, characterized in that: The following steps are involved: Step 1: Prioritize real-time monitoring of the temperature of the internal monitoring nodes of the cold chain transport vehicle, and then lock the correlation mean of different temperatures at different monitoring nodes based on the different temperatures monitored in real time by different monitoring nodes, and assess whether the internal temperature of the cold chain transport vehicle is abnormal based on the determined correlation mean; Step 2: When the temperature inside the vehicle is abnormal, the different temperatures monitored by different monitoring nodes are numerically confirmed, the associated temperatures within the cycle are obtained by determining the processing cycle, and the associated temperatures are sorted based on the position marks inside the monitoring nodes to lock the temperature set; Step three, confirm the temperature difference between adjacent nodes in the temperature set, lock the related decrease column and increase column based on the confirmed related difference characteristics, and generate a temperature control signal if there is only a decrease column but no increase column in this temperature set. For the relevant situation where there is only a decrease column but no increase column in the temperature set, an alarm signal is generated for display.

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