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

Abstract

The present invention discloses an abnormal monitoring and alarm system and method for cold chain transportation. The present invention relates to the field of cold chain transportation technology and solves the problem that the specific change direction of cold air is not changed according to the change state of specific goods in the carriage. The present invention controls the temperature inside the vehicle and determines the specific change model of the cargo stacking in real time based on the specific change of the goods in the carriage during each unloading process. Based on the actual center point of the corresponding change model, the direct point is confirmed. Subsequently, the relevant refrigeration equipment is controlled based on the confirmed direct point, so that better refrigeration control effect can be achieved in the carriage, and better cold chain transportation effect can be achieved.

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 can transmit the monitored real-time data to a server or the 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 based on 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 response to the deficiencies of the existing technology, the present invention provides a cold chain transportation abnormality monitoring and alarm system and method, which solves the problem of not making specific changes to the direct direction of cold air according to the changing status 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 cold chain transportation abnormality monitoring and alarm system, 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 a temperature monitoring unit, a temperature assessment unit, and an 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 installed at designated locations inside the vehicle.

[0009] The temperature assessment unit, based on the different temperatures monitored in real time at different monitoring nodes, locks the correlation mean of the different temperatures at different monitoring nodes. Based on the determined correlation mean, it assesses whether the internal temperature of the cold chain transport vehicle is abnormal. 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 value Jw, and compare the associated mean value Jw with the set standard temperature Bz, where the standard temperature Bz is the temperature set by the vehicle's cabin air conditioner. If Jw>Bz, it means that the vehicle's internal temperature is abnormal. The different temperatures monitored at different monitoring nodes are transmitted to the early warning analysis unit. If Jw≤Bz, it means that the vehicle's internal temperature 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 location and the set processing cycle, sorts the temperatures to determine a temperature set, and based on the changes in adjacent temperatures in the temperature set, assesses whether alarm processing is needed 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 within 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 from the door, and the groups of associated temperatures determined by the monitoring nodes are sorted to determine a temperature set, wherein the monitoring nodes are internally provided with position markers;

[0015] Identify a decreasing column and an increasing column from the determined temperature set: determine a correlation 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 the adjacent temperature is marked as a rising column;

[0018] Otherwise, no relevant calibration is performed for the descending and ascending columns;

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

[0020] For the case where there are only decreasing columns but no increasing columns 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 acoustic wave detection equipment installed in the cold chain compartment, the acoustic wave detection equipment is set in advance by the relevant operator at a designated position in the compartment to perform acoustic wave detection on the relevant goods stored in the compartment, lock the surface parameters of the corresponding relevant goods and generate a cargo stacking model of the corresponding goods;

[0024] Transmitting the cargo stacking model 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 and the internal center point of the corresponding cargo stacking model, and transmits the determined direct center point to the associated control terminal. The specific method is as follows:

[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 multiple points, the multiple three-dimensional space coordinates are averaged to determine the average coordinates, and 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 models 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 connecting line, 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;

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

[0031] The associated control terminal includes a posture control unit and an air volume control unit. The posture control unit adjusts the spray direction of the corresponding refrigeration equipment 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 persists, the air volume continues to increase.

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

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

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

[0036] Step 3: Confirm the temperature difference between adjacent nodes in the temperature set, and lock the relevant decrease column and increase column based on the confirmed relevant difference characteristics. If there is only a decrease column and no increase column in this temperature set, generate a temperature control signal. For the relevant situation where there is only a decrease column and no increase column in the temperature set, generate an alarm signal for display.

[0037] The present invention provides a cold chain transport abnormality monitoring and alarm system and method. Compared with the existing technology, it has the following advantages:

[0038] The present invention monitors the actual temperature inside the vehicle and, based on the different temperature data monitored at different monitoring nodes, identifies its specific temperature characteristics. Based on the specific changes in the temperature characteristics, it identifies whether the temperature inside the vehicle is abnormal. Based on the specific identification processing results, it identifies and displays a specific alarm signal, thereby ensuring the comprehensiveness of its 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 cargo in the compartment during each unloading process, the specific change model of the cargo stacking is determined in real time. Then, based on the actual center point of the corresponding change model, the relevant direct radiation point is confirmed. Subsequently, the relevant refrigeration equipment is controlled based on the confirmed direct radiation 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 This is a schematic diagram of the principle framework of the present invention;

[0041] Figure 2 Schematic diagram of the method of the present invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0043] First embodiment

[0044] See also Figure 1 , the present application provides a cold chain transportation abnormality monitoring and alarm system, 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 nodes are monitoring sensors installed at designated locations inside the vehicle. They are installed in advance by relevant operators at designated nodes in the vehicle to monitor the temperature data of the designated nodes 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 the 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 value Jw, and compare the associated mean value Jw with the set standard temperature Bz, where the standard temperature Bz is the temperature set by the vehicle's cabin air conditioner and can be directly obtained. If Jw>Bz, it means that there is an abnormality in the vehicle's internal temperature. The different temperatures monitored at different monitoring nodes are transmitted to the early warning analysis unit. If Jw≤Bz, it means that the vehicle's internal temperature is normal, and the subsequent related monitoring process continues;

[0050] Specifically, when the door of this 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, which will cause the determined correlation mean to change. For this type of situation, it is an abnormality in the temperature inside the car, but this type of 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 based on the node location and the set processing cycle to determine a temperature set, and then assesses whether an alarm is needed based on the changes in adjacent temperatures in the temperature set. Specifically, when the door is opened, the temperature data changes one by one, so no alarm processing is required;

[0052] The specific methods of assessment are:

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

[0054] Based on the relative positions of the monitoring nodes, the carriages are sorted from one side to the other from the door, and the groups of associated temperatures determined by the monitoring nodes are sorted to determine the temperature set. The monitoring nodes are internally provided with position marks, and the relevant sorting can be performed based on the originally set position marks;

[0055] Identify a decreasing column and an increasing column from the determined temperature set: determine a correlation 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 the adjacent temperature is calibrated as an increasing column; otherwise, no relevant calibration is performed on the decreasing column and the increasing column;

[0058] If there are only decreasing columns and no increasing columns in this temperature set, it means that the door of this compartment is open, causing external heat 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 situations where there is only a decreasing column but no increasing column in the temperature set, an alarm signal is generated for display. Specifically, such situations generally include only an increasing column in the temperature set, no decreasing column or increasing column in the temperature set, and simultaneous decreasing and increasing columns in the temperature set. These are all related situations of abnormal temperature, and 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 a timely manner.

[0060] Second embodiment

[0061] The cold chain transportation abnormality monitoring and alarm method 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. Then, based on the different temperatures monitored in real time at different monitoring nodes, determine the correlation mean of the different temperatures at different monitoring nodes. Based on the determined correlation mean, assess whether the internal temperature of the cold chain transport vehicle is abnormal;

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

[0064] Step 3: Confirm the temperature difference between adjacent nodes in the temperature set, and lock the relevant decrease column and increase column based on the confirmed relevant difference characteristics. If there is only a decrease column and no increase column in this temperature set, generate a temperature control signal. For the relevant situation where there is only a decrease column and no increase column in the temperature set, generate an alarm signal for display.

[0065] Third embodiment

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

[0067] 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 of confirming the relevant cargo stacking is as follows:

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

[0069] Transmitting the cargo stacking model 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 ejection center of the cold air, so as to achieve better temperature control effect.

[0071] The direct center confirmation unit determines the direct center of the corresponding air outlet based on the real-time confirmed cargo stacking model and the internal center point of the corresponding cargo stacking model, and transmits the determined direct center to the associated control terminal. The specific method of determining the direct center 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 multiple points, the multiple three-dimensional space coordinates are averaged to determine the average coordinates, and 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 models 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 to determine a connecting line, and the center point of this 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, its center point is determined by a three-dimensional space coordinate system, and for the base surface, its center point is determined by 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. 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 posture control unit inside the associated control terminal adjusts the spray direction of the corresponding refrigeration equipment nozzle to align it with the determined direct center point. The subsequent direct center point will change with the specific changes in the cargo stacking model. By adjusting its spray direction in real time, the cooling 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, 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 and are not intended to limit the present invention. 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. 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 air volume inside the cold chain operation vehicle; The temperature monitoring center includes a temperature monitoring unit, a temperature assessment unit, and an 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 installed at designated locations inside the vehicle. The temperature assessment unit, based on the different temperatures monitored in real time at different monitoring nodes, locks the correlation mean of the different temperatures at different monitoring nodes, and based on the determined correlation mean, assesses whether the internal temperature of the cold chain transport vehicle is abnormal; 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 a temperature set based on the node location and the set processing cycle, and based on the changes in adjacent temperatures in the temperature set, assesses whether alarm processing is needed 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 identifies the cargo stacking model inside the cold chain compartment. Based on the acoustic wave detection equipment installed in the cold chain compartment, the acoustic wave detection equipment is set in advance by the relevant operator at a designated position in the compartment. The unit performs acoustic wave detection on the cargo stored in the compartment, locks the surface parameters of the corresponding cargo, and generates a cargo stacking model of the corresponding cargo; Transmitting the cargo stacking model confirmed in real time 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 and the internal center point of the corresponding cargo stacking model, and transmits the determined direct center point to the associated control terminal. The specific method is 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 multiple points, the multiple three-dimensional space coordinates are averaged to determine the average coordinates, and 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 models 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 connecting line, 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; If G>2, the center points of several cargo stacking model bodies are interconnected, and the base surface body or base surface generated by the interconnection is confirmed. For the base surface body, its center point is determined using a three-dimensional space coordinate system, and for the base surface, its center point is determined using a two-dimensional coordinate system. The determined center point is used as the direct center point and transmitted to the associated control terminal; The associated control terminal includes a posture control unit and an air volume control unit. The posture control unit adjusts the spray direction of the corresponding refrigeration equipment 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 persists, 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 there is an abnormality in the vehicle's internal temperature. The different temperatures monitored at different monitoring nodes are transmitted to the early warning analysis unit. If Jw≤Bz, it means that the vehicle's internal temperature is normal, and the subsequent monitoring process continues.

3. The cold chain transportation abnormality monitoring and alarm system according to claim 2 is characterized in that: The specific method for 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 within the processing cycle are averaged to determine the associated temperature belonging to the monitoring node; Based on the position of the monitoring node, the carriages are sorted from one side to the other from the door, and the groups of associated temperatures determined by the monitoring nodes are sorted to determine the temperature set, and the monitoring nodes are internally marked with a position; Identify a decreasing column and an increasing column from the determined temperature set: determine a 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 the adjacent temperature is marked as a rising column; Otherwise, no calibration is performed for the descending and ascending 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 case where there is only a decreasing column but no increasing column that does not belong to the temperature set, an alarm signal is generated for display.

5. A cold chain transportation abnormality monitoring and alarm method, which is applied to the cold chain transportation abnormality monitoring and alarm system according to any one of claims 1 to 4, and is 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. Then, based on the different temperatures monitored in real time at different monitoring nodes, determine the correlation mean of the different temperatures at different monitoring nodes. Based on the determined correlation mean, assess whether the internal temperature of the cold chain transport vehicle is abnormal; Step 2: When the vehicle's internal temperature is abnormal, the different temperatures monitored by different monitoring nodes are numerically confirmed. By determining the processing cycle, the associated temperatures within the cycle are obtained. The associated temperatures are sorted based on the position marks inside the monitoring nodes to lock the temperature set. Step 3: Confirm the temperature difference between adjacent nodes in the temperature set, and lock the decreasing column and increasing column based on the confirmed difference characteristics. If there is only a decreasing column and no increasing column in this temperature set, generate a temperature control signal. For the case where there is only a decreasing column and no increasing column in the temperature set, generate an alarm signal for display.

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