Cold chain cargo transportation intelligent temperature control system based on Internet of Things

Abstract

The invention relates to the technical field of cold chain transportation, and particularly discloses a cold chain cargo transportation intelligent temperature control system based on the Internet of Things. By comparing the collection coverage volume of the temperature sensor with the control coverage volume of the temperature control element, the temperature control range of the temperature control element is ensured to be completely monitored and covered by the sensor by taking a smaller value as a unit coverage volume, and the temperature control lag or blind area caused by insufficient monitoring range is avoided; the requirements of cold-chain goods on a specific temperature environment can be better met, and the shelf life of the goods can be prolonged; the effective transportation temperature is analyzed according to the transportation environment evaluation index and the cargo state coefficient, meanwhile, the efficient transportation temperature corresponding to the transportation cold chain cargo feature vector is considered, the effective transportation temperature and the efficient transportation temperature are compared, and therefore the suitable transportation temperature is determined, and the effective transportation temperature can be determined according to the actual transportation condition and cargo characteristics. And the suitable transportation temperature corresponding to each transportation time period is accurately analyzed, so that the temperature control is more scientific and reasonable.

Description

Technical Field

[0001] The present invention relates to the field of cold chain transportation technology, and in particular to an intelligent temperature control system for cold chain cargo transportation based on the Internet of Things. Background Art

[0002] As people's living standards continue to improve, market demand for cold-chain fresh food products continues to rise, ushering in a period of rapid development for the cold-chain logistics industry. Cold-chain goods have extremely stringent requirements for the temperature environment during transportation. Even slight temperature fluctuations or unsuitable temperature and humidity conditions can accelerate the deterioration of goods, shorten their shelf life, and even render them useless, resulting in significant economic losses. Therefore, efficient and precise temperature control systems are crucial to ensuring the quality of cold-chain cargo transportation.

[0003] Traditional temperature control systems for cold chain cargo transportation mostly employ a crude, unified temperature control model, treating the entire transport compartment as a single temperature-controlled space. This approach is unable to adapt to temperature imbalances within the compartment caused by factors such as cargo distribution and the location of refrigeration equipment. For example, in actual transportation, areas near the refrigeration equipment outlet may experience lower temperatures, while corners further away may experience higher temperatures. This results in cold chain cargo within the same compartment being exposed to varying temperature environments, leading to premature deterioration of some goods due to temperature incompatibility.

[0004] At the same time, existing temperature control technologies are limited in their ability to cope with dynamic changes in the transportation environment. During cold chain transportation, environmental factors such as ambient temperature, humidity, sunlight intensity, and vehicle vibrations constantly fluctuate. Traditional systems struggle to dynamically adjust temperature control strategies based on these real-time changes. For example, in hot weather, a large amount of heat from the outside environment enters the vehicle compartment. If cooling is not strengthened in a timely manner, the temperature inside the compartment will rise rapidly. Furthermore, when the vehicle is jolted and vibrated, the operating status of the refrigeration equipment may be affected, resulting in unstable cooling performance, but traditional systems are unable to effectively respond to these changes.

[0005] Furthermore, existing cold chain transportation temperature control systems have a relatively simple approach to monitoring cargo status, primarily focusing on temperature measurement. They lack comprehensive monitoring of key indicators such as changes in cargo weight and fluctuations in gas component concentrations (such as oxygen, carbon dioxide, and ethylene). While changes in these indicators can directly reflect the freshness and risk of spoilage, the lack of comprehensive monitoring makes it impossible to accurately assess cargo status and implement targeted temperature control measures in a timely manner. For example, fresh fruits and vegetables release ethylene gas during transportation, accelerating the ripening and decay of themselves and surrounding goods. Failure to monitor ethylene concentrations in real time and adjust temperature control strategies accordingly can severely impact cargo quality.

[0006] In order to solve the above-mentioned defects, a technical solution is now provided. Summary of the Invention

[0007] The purpose of the present invention is to provide an intelligent temperature control system for cold chain cargo transportation based on the Internet of Things to solve the above-mentioned technical problems existing in the prior art.

[0008] The purpose of the present invention is achieved through the following technical solutions:

[0009] An intelligent temperature control system for cold chain cargo transportation based on the Internet of Things, comprising:

[0010] The cargo area division module is used to divide the cargo space area of ​​the cold chain cargo transport vehicle into sub-space areas and set temperature sensors and temperature control elements inside the corresponding compartments in each sub-space area. The temperature control elements set in each sub-space area are controlled by the main control terminal;

[0011] The transport environment monitoring module is used to monitor and analyze the transport environment at preset time intervals when the transport vehicle starts transporting, and obtain the transport environment evaluation indicators corresponding to each transport period;

[0012] The cargo status monitoring module is used to monitor the cargo status during each transportation period and obtain the cargo status coefficient corresponding to each transportation period;

[0013] Suitable transport temperature analysis module, used to analyze the suitable transport temperature corresponding to each transport period based on the transport stage corresponding to each transport period;

[0014] The transport temperature collection module is used to collect the transport temperature of each subspace area during each transport period through a temperature sensor;

[0015] The abnormal subspace region identification module is used to compare the transportation temperature of each subspace region in each transportation period with the appropriate transportation temperature corresponding to each transportation period, and to identify abnormal transportation periods and abnormal subspace regions accordingly;

[0016] The transport temperature control module is used to control the transport temperature of the temperature control elements of the abnormal sub-areas during the abnormal transport period through the main control terminal to make it meet the appropriate transport temperature;

[0017] The transport temperature warning terminal is used to compare the transport temperature of each sub-area during each transport period with the set warning transport temperature. If the transport temperature of a sub-area during a certain monitoring period is higher than the warning transport temperature, an abnormal transport temperature warning will be issued.

[0018] The server is used to store the collection coverage space area volume corresponding to each temperature sensor specification and model and the control coverage space area volume corresponding to each temperature control element specification and model, store the temperature corresponding to each chromaticity value, and the thermal conductivity of the packaging material corresponding to each packaging material.

[0019] Beneficial effects of the present invention:

[0020] The present invention compares the coverage volume collected by the temperature sensor with the coverage volume controlled by the temperature control element, and takes the smaller value as the unit coverage volume to ensure that the temperature control range of the temperature control element is completely covered by the sensor monitoring, thereby avoiding temperature control lags or blind spots caused by insufficient monitoring range. For cold chain goods such as fresh food, it can better meet their requirements for specific temperature environments, help extend the shelf life of the goods, and ensure the quality of the goods.

[0021] The present invention monitors and analyzes the cold chain cargo transportation environment and cargo status during each monitoring period, and grasps the transportation environment assessment indicators, cold chain cargo deterioration risk indicators and other judgment situations in real time, providing a basis for the subsequent analysis of the cold chain cargo transportation temperature control demand index, helping to discover abnormal situations in the transportation process in advance, ensuring that cold chain cargo is transported in an appropriate transportation temperature environment, and reducing cargo losses.

[0022] The present invention analyzes the suitable transportation temperature based on the transportation environment evaluation index and the cargo status coefficient, and also takes into account the efficient transportation temperature corresponding to the characteristic vector of cold chain cargo transportation, and compares the effective transportation temperature with the efficient transportation temperature to determine the suitable transportation temperature. According to the actual transportation situation and cargo characteristics, the suitable transportation temperature corresponding to each transportation period can be accurately analyzed, making the temperature control more scientific and reasonable, and can better meet the temperature requirements of cold chain cargo and ensure the quality and safety of the cargo. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a schematic diagram of the connection of each module of the present invention. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0025] like Figure 1 As shown, the present invention is an intelligent temperature control system for cold chain cargo transportation based on the Internet of Things, comprising: a cargo area division module, a transportation environment monitoring module, a cargo status monitoring module, a suitable transportation temperature analysis module, a transportation temperature acquisition module, an abnormal subspace region discrimination module, a transportation temperature control module, a transportation temperature early warning terminal, and a server. The cargo area division module is connected to the transportation temperature acquisition module, the transportation environment monitoring module, the cargo status monitoring module, and the suitable transportation temperature analysis module are connected, the transportation temperature acquisition module is connected to the transportation temperature early warning terminal, the suitable transportation temperature analysis module, the transportation temperature acquisition module, and the abnormal subspace region discrimination module are connected, the abnormal subspace region discrimination module is connected to the transportation temperature control module, and the server is connected to the cargo area division module, the cargo status monitoring module, and the suitable transportation temperature analysis module.

[0026] The cargo area division module is used to divide the cargo space area of ​​the cold chain cargo transport vehicle into sub-space areas, and set temperature sensors and temperature control elements inside the corresponding compartments in each sub-space area, wherein the temperature control elements set in each sub-space area are controlled by the main control terminal.

[0027] Exemplarily, the temperature control element is a small refrigeration unit that integrates components such as a compressor, a condenser, and an evaporator.

[0028] For example, the cold chain goods are fresh food.

[0029] It should be noted that because the cargo space of a transport vehicle is typically well-defined, often in the shape of a rectangular or nearly rectangular parallelepiped, the subspaces often also have rectangular or similar shapes. When selecting temperature sensors and temperature control components, it is important to ensure that the subspaces are covered as completely as possible. This, in turn, improves the temperature control effectiveness of the subspaces from the perspective of the temperature control hardware.

[0030] Specifically, the specific process of dividing the cargo space area of ​​the cold chain cargo transport vehicle into subspace areas is as follows:

[0031] Obtain the specifications of the temperature sensors and temperature control elements, and match them with the acquisition coverage volume corresponding to each temperature sensor specification and the control coverage volume corresponding to each temperature control element specification stored in the server, to obtain the acquisition coverage volume corresponding to a single temperature sensor and the control coverage volume corresponding to a single temperature control element;

[0032] Compare and analyze the acquisition coverage space area volume corresponding to a single temperature sensor and the control coverage space area volume corresponding to a single temperature control element. If the acquisition coverage space area volume is greater than or equal to the control coverage space area volume, the control coverage space area volume is used as the unit coverage volume. If the acquisition coverage space area volume is less than the control coverage space area volume, the acquisition coverage space area volume is used as the unit coverage volume. The unit coverage volume is obtained by statistics and recorded as V unit ;

[0033] Get the volume of the cargo space of the cold chain cargo transport vehicle, denoted as V total , according to the formula Calculate the number of subspace region divisions n zone , where Indicates the rounding operation symbol;

[0034] The volume of the cargo space area of ​​the cold chain cargo transport vehicle is evenly divided according to the number of subspace area divisions, thereby obtaining the subspace areas corresponding to the cold chain cargo transport vehicle.

[0035] In a specific embodiment, the present invention compares the coverage volume collected by the temperature sensor with the coverage volume controlled by the temperature control element, and uses the smaller value as the unit coverage volume to ensure that the temperature control range of the temperature control element is completely covered by the sensor monitoring, thereby avoiding temperature control lags or blind spots caused by insufficient monitoring range. For cold chain goods such as fresh food, it can better meet their requirements for specific temperature environments, help extend the shelf life of the goods, and ensure the quality of the goods.

[0036] The transport environment monitoring module is used to monitor the transport environment at preset time intervals when the transport vehicle starts transporting, obtain transport environment data corresponding to each transport period, and analyze the transport environment evaluation indicators corresponding to each transport period.

[0037] It should be noted that the transportation environment data includes: external atmospheric temperature, atmospheric humidity, sunshine intensity, wind speed, transportation speed of the transport vehicle and vibration amplitude of the transport vehicle.

[0038] It should be further explained that the reasons for using the outside air temperature, air humidity, sunshine intensity, wind speed, transport vehicle speed and transport vehicle vibration amplitude as the transportation environment data corresponding to each transportation period are:

[0039] (1) Atmospheric temperature directly affects the external heat exchange of cold chain compartments. If the outside temperature is too high, it will increase the heat load of the compartment insulation layer, causing the refrigeration system in the compartment to consume more energy to maintain a low temperature; if the outside temperature is too low, it may affect the normal operation of the refrigeration equipment and may also put the goods at risk of freezing damage.

[0040] (2) In a high humidity environment, water vapor easily condenses inside and outside the carriage, causing the goods to become damp and the packaging to be damaged, which is not conducive to the preservation of the goods.

[0041] (3) The radiant heat generated by sunlight will increase the temperature of the carriage. Strong sunlight will cause the surface temperature of the carriage to rise rapidly, and the heat will be transmitted into the interior of the carriage, interfering with the stability of the internal temperature. This may accelerate the deterioration of some fresh foods that are sensitive to temperature.

[0042] (4) Wind will affect the heat exchange rate. Strong wind will accelerate the air flow on the surface of the car, enhance the convective heat transfer, and the enhanced convective heat transfer will affect the temperature stability in the car.

[0043] (5) Changes in transport speed (sudden acceleration or deceleration) will cause the cargo in the carriage to shake, affecting air circulation and thus affecting temperature uniformity.

[0044] (6) The vibration of the transport vehicle during driving will affect the state of the goods and the refrigeration equipment. Excessive vibration may cause the goods to collide with each other, squeeze each other, and cause damage; it may also cause the connection of refrigeration equipment components to loosen, reducing the reliability and refrigeration effect of the refrigeration equipment, which is not conducive to the stable transportation of goods.

[0045] Specifically, the process of monitoring and analyzing the transportation environment is as follows:

[0046] Obtain the outside atmospheric temperature, atmospheric humidity, sunshine intensity, and wind speed corresponding to each transportation time point in each transportation period, and calculate the absolute value of the difference between them and the preset reference atmospheric temperature, reference atmospheric humidity, reference sunshine intensity, and reference wind speed, and obtain the outside atmospheric temperature difference, atmospheric humidity difference, sunshine intensity difference, and wind speed difference corresponding to each transportation time point in each transportation period. Then calculate the ratio of these with the preset allowable atmospheric temperature difference, allowable atmospheric humidity difference, allowable sunshine intensity difference, and allowable wind speed difference, and obtain the outside atmospheric temperature difference ratio, atmospheric humidity difference ratio, sunshine intensity difference ratio, and wind speed difference ratio corresponding to each transportation time point in each transportation period, and convert them into long-distance values ​​according to the preset ratio. Degrees, respectively, with the lengths of the atmospheric temperature difference ratio and the atmospheric humidity difference ratio as the major axis and minor axis to construct an ellipse, select the center of the ellipse, take the center as the starting point, take the length of the sunshine intensity difference ratio as the length of the straight line, and use the straight line as the height of the ellipse as the base to construct an elliptical cylinder, select the center of the upper surface of the elliptical cylinder, and make a height corresponding to the length of the wind force difference ratio on the center, and construct an elliptical cone with the upper surface of the cylinder, mark the elliptical cylinder and the elliptical cone as an elliptical cube combination, extract the volume value of the elliptical cube combination and mark it as a type of transportation environment assessment index corresponding to each transportation time point in each transportation period, thereby accumulating a type of transportation environment assessment index corresponding to each transportation period;

[0047] Obtain the transport speed of the transport vehicle at each transport time point in each transport period, and select the maximum transport speed from it. Subtract it from the preset reference transport speed to obtain the transport speed deviation corresponding to each transport period;

[0048] At the same time, the transport speed at each transport time point is compared with the preset reference transport speed. If the transport speed at a certain transport time point is greater than the preset reference transport speed, the transport time point is recorded as a transport speed impact point. The number of transport speed impact points is counted and the ratio of the impact point to the total number of transport time points is calculated to obtain the transport speed impact ratio.

[0049] Obtain the vibration amplitude of the transport vehicle at each transport time point during each transport period. Construct a vibration amplitude curve with each transport time point as the horizontal coordinate and the vibration amplitude of the transport vehicle as the vertical coordinate. Identify the locations of each peak point and each valley point from the curve, extract the vibration amplitude difference between each peak point and its adjacent valley point, and perform mean calculation to obtain the average vibration amplitude difference.

[0050] The vibration amplitude difference between each peak point and its adjacent valley point is compared with a preset reference vibration amplitude difference. If the vibration amplitude difference is greater than or equal to the preset reference vibration amplitude difference, the peak point is recorded as a marked peak point. The number of marked peak points is obtained by counting, and the ratio of the number of marked peak points to the number of all peak points is calculated to obtain the vibration amplitude difference change frequency corresponding to each transportation period.

[0051] The transport speed deviation, transport speed impact ratio, average vibration amplitude difference and vibration amplitude difference change frequency corresponding to each transport period are converted into lengths according to a preset ratio. The length of the transport speed deviation is used as the radius and the length of the transport speed impact ratio is used as the arc length to construct the sector area 1. The length of the average vibration amplitude difference is used as the radius and the length of the vibration amplitude difference change frequency is used as the arc length to construct the sector area 2. The areas of sector area 1 and sector area 2 are extracted, and the total area value obtained by cumulative calculation is used as the second-category transport environment assessment indicator for each transport period;

[0052] The first-class transport environment assessment index and the second-class transport environment assessment index corresponding to each transport period are multiplied by the preset weight factors respectively and added up to obtain the transport environment assessment index corresponding to each transport period.

[0053] It should be further explained that the preset weight factors corresponding to the first-class transportation environment assessment indicators and the second-class transportation environment assessment indicators are 0.5 and 0.5 respectively.

[0054] The first type of transportation environment assessment indicators integrate natural environmental factors such as external atmospheric temperature, atmospheric humidity, sunlight intensity, and wind speed. These factors directly affect the heat and humidity exchange between the cold chain compartment and the outside world, and play a key role in the stability of temperature and humidity in the compartment. The second type of transportation environment assessment indicators covers transportation process factors such as the transport speed and vibration amplitude of the transport vehicle. The transport speed affects the time the goods are in transit and the air flow in the compartment, and the vibration amplitude affects the condition of the goods and the operation of the refrigeration equipment. Both are also crucial to the cargo transportation environment. From the perspective of the overall transportation environment, the factors involved in these two types of indicators have a similar impact on the cold chain cargo transportation environment, so they are given the same weight.

[0055] The cargo status monitoring module is used to monitor the cargo status during each transportation period and obtain the cargo status coefficient corresponding to each transportation period.

[0056] Specifically, the process of monitoring the cargo status during each transportation period is as follows:

[0057] The thermal images of the cold chain cargo storage area in each transportation period are collected in all directions by an infrared thermal imager to obtain the thermal images of the cold chain cargo storage area in each transportation period. The number of temperature distribution areas and the area and chromaticity value corresponding to each temperature distribution area are extracted from each thermal image in each transportation period. The chromaticity value is matched with the temperature corresponding to each chromaticity value stored in the server to obtain the temperature corresponding to each temperature distribution area. The temperature distribution area corresponding to the highest temperature and the temperature distribution area corresponding to the lowest temperature are screened out and used as the high temperature distribution area and the low temperature distribution area, respectively. The area and temperature of the high temperature distribution area and the area and temperature of the low temperature distribution area in each thermal image are extracted and recorded as i represents the number of each monitoring period, i=1,2,...,m, f represents the number of each thermal image, f=1,2,...,g, perform normalization and take its value according to the formula Calculate the temperature uniformity index corresponding to each transportation period In the formula represents the total area of ​​the temperature distribution region of the fth thermal image during the i-th transportation period;

[0058] The humidity of each monitoring point in the cold chain cargo storage area is detected by a humidity sensor, and the humidity of each monitoring point in the cold chain cargo storage area is obtained, and the maximum humidity, minimum humidity and average humidity are screened out and recorded as HU max , HU min , HU avg , through the preset uniformity algorithm Calculate the humidity uniformity index HU corresponding to each transportation period uniformity ;

[0059] Extract the initial transport weight of the cold chain cargo and the initial concentration of various types of gas components of the transport vehicle from the server, and use the weighing sensor and gas sensor to collect the cold chain cargo transport weight and the concentration of various types of gas components corresponding to the last transport monitoring time point of each transport period. The difference calculation is then performed to obtain the cold chain cargo transport weight difference and the concentration difference of various types of gas components corresponding to each transport period, which is recorded as ΔG. i 、

[0060] It should be noted that the concentrations of various types of gas components include oxygen concentration, carbon dioxide concentration and ethylene concentration.

[0061] Extract the cold chain cargo transportation route, and at the same time extract the transportation duration corresponding to the cold chain cargo transportation route from the transportation history records stored in the server, and calculate the average of the transportation duration to obtain the average of the historical transportation duration corresponding to the cold chain cargo transportation route as the reference transportation duration of the cold chain cargo transportation route;

[0062] The cumulative transportation time corresponding to each transportation period is extracted, and the ratio of it to the reference transportation time is calculated to obtain the transportation progress corresponding to each transportation period. The transportation progress corresponding to each transportation period is matched with the preset cold chain cargo transportation weight difference and the permitted concentration difference of various types of gas components corresponding to each transportation progress to obtain the cold chain cargo transportation weight difference and the permitted concentration difference of various types of gas components corresponding to each transportation period, which are respectively recorded as ΔG i '、 j represents the number of each type of gas, j = 1, 2, 3;

[0063] Substitute the preset Softplus function model Get the weight deviation coefficient corresponding to each transportation period and gas concentration deviation coefficient

[0064] The weight deviation coefficient and the gas concentration deviation coefficient are input into the processor. The graphics processor converts them into numerical values ​​according to a certain ratio and inputs them into the line graph to obtain two corresponding points. The two points are sequentially connected by line segments to obtain a broken line. The two endpoints of the broken line are respectively made perpendicular to the X-axis. The broken line and the two perpendicular lines form a closed figure with the X-axis. The area of ​​the closed figure is identified and the value of the area is used as the cold chain cargo deterioration risk index. The cold chain cargo deterioration risk index corresponding to each transportation period is thus obtained by statistics.

[0065] The temperature uniformity index, humidity uniformity index and cold chain cargo deterioration risk index corresponding to each transportation period are multiplied by the preset weight factors and added up to obtain the cargo status coefficient corresponding to each transportation period.

[0066] It should be further explained that the preset weight factors corresponding to the temperature uniformity index, humidity uniformity index and cold chain cargo deterioration risk index are 0.3, 0.3 and 0.4 respectively.

[0067] The core goal of cold chain cargo transportation is to prevent cargo spoilage. The cold chain cargo spoilage risk index comprehensively considers multiple factors, such as changes in cargo weight and changes in gas composition concentration. It directly reflects the possibility of cargo spoilage and plays a central role in measuring cargo status, so it is given a relatively high weight of 0.4. The temperature uniformity index and humidity uniformity index are also critical to cargo preservation. Uneven temperature may cause local overheating or overcooling of cargo, accelerating spoilage; uneven humidity may cause partial moisture or dehydration of cargo. However, their individual impact on cargo spoilage is slightly weaker than the spoilage risk index, and the two have similar effects on cargo preservation, are interrelated, and complement each other. Therefore, they are given the same, relatively low weight of 0.3.

[0068] In a specific embodiment, the present invention monitors and analyzes the cold chain cargo transportation environment and cargo status during each monitoring period, and obtains real-time judgments on transportation environment assessment indicators, cold chain cargo deterioration risk indicators, and other indicators, thereby providing a basis for subsequent analysis of the cold chain cargo transportation temperature control demand index, helping to discover abnormal situations in the transportation process in advance, ensuring that cold chain cargo is transported in a suitable transportation temperature environment, and reducing cargo losses.

[0069] The suitable transport temperature analysis module is used to analyze the suitable transport temperature corresponding to each transport period based on the transport stage corresponding to each transport period;

[0070] Specifically, the analysis process of the appropriate transportation temperature corresponding to each transportation period is as follows:

[0071] Extract the transportation environment evaluation index and cargo status coefficient corresponding to each transportation period, and multiply and sum them with the preset regulation demand influencing factors respectively to obtain the transportation temperature control demand index corresponding to each transportation period, and match it with the effective transportation temperature corresponding to each preset transportation temperature control demand index to obtain the effective transportation temperature corresponding to each transportation period, which is recorded as

[0072] Obtain the packaging material corresponding to the currently transported cold chain goods, and match it with the thermal conductivity of the packaging material corresponding to each packaging material stored in the server to obtain the thermal conductivity of the packaging material corresponding to the currently transported cold chain goods;

[0073] Obtain the type of cold chain goods currently being transported, the thermal conductivity of the packaging materials, the stacking density of the goods, and the average remaining shelf life to form the characteristic vector of the cold chain goods currently being transported. Match the characteristic vector of the cold chain goods currently being transported with the efficient transportation temperature corresponding to each cold chain goods characteristic vector stored in the server to obtain the efficient transportation temperature corresponding to each transportation period, which is recorded as

[0074] Substitute the preset sigmoid function model Obtain the transport temperature deviation between the effective transport temperature and the efficient transport temperature corresponding to each transport period Where e represents a natural constant;

[0075] Compare and analyze the transport temperature deviation between the effective transport temperature and the efficient transport temperature corresponding to each transport period with the preset allowable transport temperature deviation. If the transport temperature deviation between the effective transport temperature and the efficient transport temperature corresponding to a transport period is greater than the preset allowable transport temperature deviation, then the effective transport temperature corresponding to the transport period is used as the appropriate transport temperature corresponding to the transport period. Otherwise, the efficient transport temperature corresponding to the transport period is used as the appropriate transport temperature corresponding to the transport period.

[0076] The appropriate transportation temperature corresponding to each transportation period is obtained through statistics.

[0077] In a specific embodiment, the present invention analyzes the suitable transportation temperature based on the transportation environment evaluation index and the cargo status coefficient, and also considers the efficient transportation temperature corresponding to the characteristic vector of the cold chain cargo, and compares the effective transportation temperature with the efficient transportation temperature to determine the suitable transportation temperature. It can accurately analyze the suitable transportation temperature corresponding to each transportation period according to the actual transportation situation and cargo characteristics, making the temperature control more scientific and reasonable, and can better meet the temperature requirements of cold chain cargo, thereby ensuring the quality and safety of the cargo.

[0078] The transport temperature acquisition module is used to acquire the transport temperature of each subspace area during each transport period through a temperature sensor.

[0079] The abnormal subspace region identification module is used to compare the transportation temperature of each subspace region in each transportation period with the appropriate transportation temperature corresponding to each transportation period, and to identify abnormal transportation periods and abnormal subspace regions accordingly.

[0080] Specifically, the process of identifying abnormal transport periods and abnormal subspace regions is as follows:

[0081] The transportation temperature of each subspace area in each transportation period is compared with the appropriate transportation temperature corresponding to each transportation period. Obtain the appropriate degree of transport temperature of each subspace area in each transport period;

[0082] The transport temperature suitability of each subspace area in each transport period is compared with the preset transport temperature suitability threshold. If the transport temperature suitability of a subspace area in a certain transport period is greater than or equal to the preset transport temperature suitability threshold, then the transport period is determined to be an abnormal transport period and the subspace area is an abnormal subspace area.

[0083] The transport temperature control module is used to activate the temperature control elements of the abnormal sub-areas during the abnormal transport period through the main control terminal to regulate the transport temperature so that it meets the appropriate transport temperature.

[0084] It should be noted that the transport temperature control by the temperature control element includes but is not limited to the control of the refrigerant flow, the compressor operating frequency and power, the evaporator fan speed, etc.

[0085] The transport temperature warning terminal is used to compare the transport temperature of each sub-area in each transport period with the set warning transport temperature. If the transport temperature of a sub-space area in a certain monitoring period is greater than the warning transport temperature, an abnormal transport temperature warning will be issued to facilitate timely processing by cold chain cargo transportation personnel to avoid serious deterioration and damage of cold chain cargo due to abnormal transport temperature.

[0086] The server is used to store the collection coverage space area volume corresponding to each temperature sensor specification and model and the control coverage space area volume corresponding to each temperature control element specification and model, store the temperature corresponding to each chromaticity value, and the thermal conductivity of the packaging material corresponding to each packaging material.

[0087] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

Claims

1. An intelligent temperature control system for cold chain cargo transportation based on the Internet of Things, characterized in that: include: The cargo area division module is used to divide the cargo space area of ​​the cold chain cargo transport vehicle into sub-space areas and set temperature sensors and temperature control elements inside the corresponding compartments in each sub-space area. The temperature control elements set in each sub-space area are controlled by the main control terminal; The transport environment monitoring module is used to monitor and analyze the transport environment at preset time intervals when the transport vehicle starts transporting, and obtain the transport environment evaluation indicators corresponding to each transport period; The cargo status monitoring module is used to monitor the cargo status during each transportation period and obtain the cargo status coefficient corresponding to each transportation period; Suitable transport temperature analysis module, used to analyze the suitable transport temperature corresponding to each transport period based on the transport stage corresponding to each transport period; The transport temperature collection module is used to collect the transport temperature of each subspace area during each transport period through a temperature sensor; The abnormal subspace region discrimination module is used to compare the transportation temperature of each subspace region in each transportation period with the appropriate transportation temperature corresponding to each transportation period, and to discriminate abnormal transportation periods and abnormal subspace regions accordingly.

2. The intelligent temperature control system for cold chain cargo transportation according to claim 1 is characterized in that: Also includes: The transport temperature control module is used to control the transport temperature of the temperature control elements of the abnormal sub-areas during the abnormal transport period through the main control terminal to make it meet the appropriate transport temperature; The transport temperature warning terminal is used to compare the transport temperature of each sub-area during each transport period with the set warning transport temperature. If the transport temperature of a sub-area during a certain monitoring period is higher than the warning transport temperature, an abnormal transport temperature warning will be issued. The server is used to store the collection coverage space area volume corresponding to each temperature sensor specification and model and the control coverage space area volume corresponding to each temperature control element specification and model, store the temperature corresponding to each chromaticity value, and the thermal conductivity of the packaging material corresponding to each packaging material.

3. The intelligent temperature control system for cold chain cargo transportation according to claim 1 is characterized in that: The specific process of dividing the cargo space area of ​​the cold chain cargo transport vehicle into subspace areas is as follows: Obtain the specifications of the temperature sensors and temperature control elements, and match them with the acquisition coverage volume corresponding to each temperature sensor specification and the control coverage volume corresponding to each temperature control element specification stored in the server, to obtain the acquisition coverage volume corresponding to a single temperature sensor and the control coverage volume corresponding to a single temperature control element; Compare and analyze the acquisition coverage space area volume corresponding to a single temperature sensor and the control coverage space area volume corresponding to a single temperature control element. If the acquisition coverage space area volume is greater than or equal to the control coverage space area volume, the control coverage space area volume is used as the unit coverage volume. If the acquisition coverage space area volume is less than the control coverage space area volume, the acquisition coverage space area volume is used as the unit coverage volume. The unit coverage volume is obtained by statistics and recorded as V unit ; Get the volume of the cargo space of the cold chain cargo transport vehicle, denoted as V total , according to the formula Calculate the number of subspace region divisions n zone , where Indicates the rounding operation symbol; The volume of the cargo space area of ​​the cold chain cargo transport vehicle is evenly divided according to the number of subspace area divisions, thereby obtaining the subspace areas corresponding to the cold chain cargo transport vehicle.

4. The intelligent temperature control system for cold chain cargo transportation according to claim 1 is characterized in that: The process of monitoring and analyzing the transportation environment includes: Obtain the outside atmospheric temperature, atmospheric humidity, sunshine intensity, and wind speed corresponding to each transportation time point in each transportation period, and calculate the absolute value of the difference between them and the preset reference atmospheric temperature, reference atmospheric humidity, reference sunshine intensity, and reference wind speed, and obtain the outside atmospheric temperature difference, atmospheric humidity difference, sunshine intensity difference, and wind speed difference corresponding to each transportation time point in each transportation period. Then calculate the ratio of these with the preset allowable atmospheric temperature difference, allowable atmospheric humidity difference, allowable sunshine intensity difference, and allowable wind speed difference, and obtain the outside atmospheric temperature difference ratio, atmospheric humidity difference ratio, sunshine intensity difference ratio, and wind speed difference ratio corresponding to each transportation time point in each transportation period, and convert them into long-distance values ​​according to the preset ratio. Degrees, construct an ellipse with the lengths of the atmospheric temperature difference ratio and the atmospheric humidity difference ratio as the major axis and minor axis respectively, select the center of the ellipse, take the center as the starting point, take the length of the sunshine intensity difference ratio as the length of the straight line, and use the straight line as the height to construct an elliptical cylinder with the elliptical cylinder as the base, select the center of the upper surface of the elliptical cylinder, and make a height corresponding to the length of the wind force difference ratio on the center, and construct an elliptical cone with the upper surface of the cylinder, mark the elliptical cylinder and the elliptical cone as an elliptical cube combination, extract the volume value of the elliptical cube combination and mark it as a type of transportation environment assessment index corresponding to each transportation time point in each transportation period, and thus accumulate and obtain a type of transportation environment assessment index corresponding to each transportation period.

5. The intelligent temperature control system for cold chain cargo transportation according to claim 1, characterized in that: The process of monitoring and analyzing the transportation environment also includes: Obtain the transport speed of the transport vehicle at each transport time point in each transport period, and select the maximum transport speed from it. Subtract it from the preset reference transport speed to obtain the transport speed deviation corresponding to each transport period; At the same time, the transport speed at each transport time point is compared with the preset reference transport speed. If the transport speed at a certain transport time point is greater than the preset reference transport speed, the transport time point is recorded as a transport speed impact point. The number of transport speed impact points is counted and the ratio of the impact point to the total number of transport time points is calculated to obtain the transport speed impact ratio. Obtain the vibration amplitude of the transport vehicle at each transport time point during each transport period. Construct a vibration amplitude curve with each transport time point as the horizontal coordinate and the vibration amplitude of the transport vehicle as the vertical coordinate. Identify the locations of each peak point and each valley point from the curve, extract the vibration amplitude difference between each peak point and its adjacent valley point, and perform mean calculation to obtain the average vibration amplitude difference. The vibration amplitude difference between each peak point and its adjacent valley point is compared with a preset reference vibration amplitude difference. If the vibration amplitude difference is greater than or equal to the preset reference vibration amplitude difference, the peak point is recorded as a marked peak point. The number of marked peak points is obtained by counting, and the ratio of the number of marked peak points to the number of all peak points is calculated to obtain the vibration amplitude difference change frequency corresponding to each transportation period. The transport speed deviation, transport speed impact ratio, average vibration amplitude difference and vibration amplitude difference change frequency corresponding to each transport period are converted into lengths according to a preset ratio. The length of the transport speed deviation is used as the radius and the length of the transport speed impact ratio is used as the arc length to construct the sector area 1. The length of the average vibration amplitude difference is used as the radius and the length of the vibration amplitude difference change frequency is used as the arc length to construct the sector area 2. The areas of sector area 1 and sector area 2 are extracted, and the total area value obtained by cumulative calculation is used as the second-category transport environment assessment indicator for each transport period; The first-class transport environment assessment index and the second-class transport environment assessment index corresponding to each transport period are multiplied by the preset weight factors respectively and added up to obtain the transport environment assessment index corresponding to each transport period.

6. The intelligent temperature control system for cold chain cargo transportation according to claim 1, characterized in that: The process of monitoring the cargo status during each transportation period includes: The thermal images of the cold chain cargo storage area during each transportation period are collected in all directions by using an infrared thermal imager to obtain the thermal images of the cold chain cargo storage area during each transportation period. The number of temperature distribution areas and the area and chromaticity values ​​corresponding to each temperature distribution area are extracted from each thermal image during each transportation period. The chromaticity values ​​are matched with the temperatures corresponding to each chromaticity value stored in the server to obtain the temperatures corresponding to each temperature distribution area. The temperature distribution area corresponding to the highest temperature and the temperature distribution area corresponding to the lowest temperature are screened out and used as the high temperature distribution area and the low temperature distribution area, respectively. The area and temperature of the high temperature distribution area and the area and temperature of the low temperature distribution area in each thermal image are extracted, and the temperature uniformity index corresponding to each transportation period is calculated. The humidity at each monitoring point in the cold chain cargo storage area is detected by a humidity sensor to obtain the humidity at each monitoring point in the cold chain cargo storage area, and the maximum humidity, minimum humidity and mean humidity are screened out. The humidity uniformity index corresponding to each transportation period is calculated using a preset uniformity algorithm.

7. The intelligent temperature control system for cold chain cargo transportation according to claim 1, characterized in that: The process of monitoring the cargo status during each transport period further includes: Extract the initial transport weight of the cold chain cargo and the initial concentration of various types of gas components of the transport vehicle from the server, and use the weighing sensor and gas sensor to collect the cold chain cargo transport weight and the concentration of various types of gas components corresponding to the last transport monitoring time point of each transport period, and perform difference calculation to obtain the cold chain cargo transport weight difference and the concentration difference of various types of gas components corresponding to each transport period; Extract the cold chain cargo transportation route, and at the same time extract the transportation duration corresponding to the cold chain cargo transportation route from the transportation history records stored in the server, and calculate the average of the transportation duration to obtain the average of the historical transportation duration corresponding to the cold chain cargo transportation route as the reference transportation duration of the cold chain cargo transportation route; Extract the cumulative transportation time corresponding to each transportation period, and calculate the ratio between it and the reference transportation time to obtain the transportation progress corresponding to each transportation period. Match the transportation progress corresponding to each transportation period with the preset allowable weight difference of cold chain cargo transportation weight and allowable concentration difference of various types of gas components corresponding to each transportation progress to obtain the allowable weight difference of cold chain cargo transportation weight and allowable concentration difference of various types of gas components corresponding to each transportation period. Substitute the preset Softplus function model to obtain the weight deviation coefficient and gas concentration deviation coefficient corresponding to each transportation period; The weight deviation coefficient and the gas concentration deviation coefficient are input into the processor. The graphics processor converts them into numerical values ​​according to a certain ratio and inputs them into the line graph to obtain two corresponding points. The two points are sequentially connected by line segments to obtain a broken line. The two endpoints of the broken line are respectively made perpendicular to the X-axis. The broken line and the two perpendicular lines form a closed figure with the X-axis. The area of ​​the closed figure is identified and the value of the area is used as the cold chain cargo deterioration risk index. The cold chain cargo deterioration risk index corresponding to each transportation period is thus obtained by statistics. The temperature uniformity index, humidity uniformity index and cold chain cargo deterioration risk index corresponding to each transportation period are multiplied by the preset weight factors and added up to obtain the cargo status coefficient corresponding to each transportation period.

8. The intelligent temperature control system for cold chain cargo transportation according to claim 1, characterized in that: The analysis process of the appropriate transportation temperature corresponding to each transportation period is as follows: Extract the transportation environment evaluation index and cargo status coefficient corresponding to each transportation period, and multiply and sum them with the preset regulation demand influencing factors respectively to obtain the transportation temperature control demand index corresponding to each transportation period, and match it with the effective transportation temperature corresponding to each preset transportation temperature control demand index to obtain the effective transportation temperature corresponding to each transportation period, which is recorded as i represents the number of each monitoring period, i = 1, 2, ..., m; Obtain the packaging material corresponding to the currently transported cold chain goods, and match it with the thermal conductivity of the packaging material corresponding to each packaging material stored in the server to obtain the thermal conductivity of the packaging material corresponding to the currently transported cold chain goods; Obtain the type of cold chain goods currently being transported, the thermal conductivity of the packaging materials, the stacking density of the goods, and the average remaining shelf life to form the characteristic vector of the cold chain goods currently being transported. Match the characteristic vector of the cold chain goods currently being transported with the efficient transportation temperature corresponding to each cold chain goods characteristic vector stored in the server to obtain the efficient transportation temperature corresponding to each transportation period, which is recorded as Substitute the preset sigmoid function model Obtain the transport temperature deviation between the effective transport temperature and the efficient transport temperature corresponding to each transport period Where e represents a natural constant; Compare and analyze the transport temperature deviation between the effective transport temperature and the efficient transport temperature corresponding to each transport period with the preset allowable transport temperature deviation. If the transport temperature deviation between the effective transport temperature and the efficient transport temperature corresponding to a transport period is greater than the preset allowable transport temperature deviation, then the effective transport temperature corresponding to the transport period is used as the appropriate transport temperature corresponding to the transport period. Otherwise, the efficient transport temperature corresponding to the transport period is used as the appropriate transport temperature corresponding to the transport period. The appropriate transportation temperature corresponding to each transportation period is obtained through statistics.

9. The intelligent temperature control system for cold chain cargo transportation according to claim 1, characterized in that: The process of identifying abnormal transport periods and abnormal subspace regions is as follows: The transportation temperature of each subspace area in each transportation period is compared with the appropriate transportation temperature corresponding to each transportation period, and the temperature is substituted into the preset logarithmic function model to obtain the appropriate degree of fit of the transportation temperature of each subspace area in each transportation period; The transport temperature suitability of each subspace area in each transport period is compared with the preset transport temperature suitability threshold. If the transport temperature suitability of a subspace area in a certain transport period is greater than or equal to the preset transport temperature suitability threshold, then the transport period is determined to be an abnormal transport period and the subspace area is an abnormal subspace area.

Images