Cold chain transportation intelligent monitoring method and system based on Internet of Things

Abstract

The invention relates to the technical field of cold chain transportation, in particular to a cold chain transportation intelligent monitoring method and system based on the Internet of Things. The method comprises the following steps: controlling a mobile pathogen detection mechanism to carry out pathogen detection work on goods at regular intervals, and determining pathogen types and dominant diffusion areas of pathogens; searching and extracting the diffusion speed of the germs according to the types of the germs; according to the dominant diffusion region and the diffusion speed, determining the dominant diffusion occurrence duration of the germs; determining an initial breeding time point of germs according to the dominant diffusion occurrence duration and the current time point; acquiring an air flow direction track from the initial breeding time point to the current time point by taking the dominant diffusion region as a central point; according to the airflow flow direction track, the diffusion direction of germs is determined; and according to the diffusion direction, the diffusion speed and the dominant diffusion occurrence duration, determining the recessive diffusion region of the germs. And determining a dominant diffusion area and a recessive diffusion area based on the diffusion velocity of the germs and the airflow direction track, thereby realizing accurate disinfection and killing.

Description

Technical Field

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

[0002] Cold chain logistics refers to a systematic project that ensures the quality and performance of refrigerated and frozen goods in a specified low-temperature environment during production, storage, transportation, sales, and before consumption. It was established with the advancement of science and technology and the development of refrigeration technology. It is a low-temperature logistics process based on refrigeration technology and using refrigeration technology as a means.

[0003] At present, cold chain logistics mainly rely on cold chain vehicles for transportation. In order to ensure the safety and quality of cold chain food during transportation, the vehicles will implement comprehensive and detailed disinfection and sterilization measures inside the carriage before loading, aiming to prevent food from spoiling due to contamination by pathogens. However, in the transportation process, the problem of cold air circulation being blocked in cold chain vehicles often occurs. This is mainly due to improper cargo loading methods, poor compartment sealing, refrigeration system failure, poor condenser heat dissipation, and equipment aging. These factors may cause the cold air to be unable to circulate effectively in some areas of the carriage, which in turn causes local temperature rise, providing favorable conditions for the reproduction of pathogens. Unfortunately, most cold chain vehicles do not continue to carry out disinfection operations in the carriage during transportation, which invisibly provides opportunities for the growth of pathogens and needs to be improved.

[0004] Although a few cold chain vehicles choose to disinfect during transportation, for cost and efficiency reasons, they often only treat goods and surrounding areas where pathogens have been detected, and fail to take timely and effective disinfection measures for goods or areas that may be in the latent period of pathogens and have not yet shown obvious signs of contamination. Although this approach seems to save costs, it actually lays hidden dangers, because those goods that have been invaded by pathogens but have not yet shown signs of contamination are very likely to become the source of a new round of pathogen transmission, thus posing a threat to the overall safety of cold chain food. Summary of the invention

[0005] The present application provides an intelligent monitoring method and system for cold chain transportation based on the Internet of Things to solve the problems mentioned in the background technology.

[0006] In a first aspect, the present application provides an intelligent monitoring method for cold chain transportation based on the Internet of Things, which is applied to an intelligent monitoring device for cold chain transportation based on the Internet of Things. The intelligent monitoring device for cold chain transportation based on the Internet of Things includes a mobile pathogen detection mechanism and a server. The intelligent monitoring method for cold chain transportation based on the Internet of Things is applied to the server. The method includes:

[0007] In the process of transporting goods by cold chain vehicles, the mobile pathogen detection mechanism is controlled to regularly perform pathogen detection on the goods to determine the pathogen type and the dominant diffusion area of ​​the pathogen;

[0008] Based on the pathogen database, according to the pathogen type, the diffusion speed of the pathogen is retrieved and extracted; according to the explicit diffusion area and the diffusion speed, the duration of the explicit diffusion of the pathogen is determined; according to the duration of the explicit diffusion and the current time point, the initial breeding time point of the pathogen is determined;

[0009] Obtaining an airflow trajectory with the explicit diffusion area as the center point from the initial breeding time point to the current time point; determining the diffusion direction of the pathogen according to the airflow trajectory; determining the latent diffusion area of ​​the pathogen according to the diffusion direction, the diffusion speed, and the duration of the explicit diffusion;

[0010] Disinfection work is carried out in the explicit diffusion area and the implicit diffusion area.

[0011] The above technical solutions have the following advantages: through real-time monitoring and intelligent analysis, the threat of pathogens can be discovered and eliminated in a timely manner, effectively reducing the risk of contamination of cold chain food during transportation and improving the overall safety of food. At the same time, based on the diffusion speed of pathogens and the trajectory of airflow, the explicit and implicit diffusion areas of pathogens are determined to achieve precise disinfection, avoiding the blindness and waste of resources in traditional disinfection methods. In addition, the automated and intelligent monitoring and disinfection process reduces manual intervention and improves the efficiency and reliability of cold chain transportation.

[0012] Optionally, the mobile pathogen detection mechanism includes a fluorescence detection instrument and a vehicle-mounted PCR instrument, and the controlling the mobile pathogen detection mechanism to regularly perform pathogen detection on the cargo to determine the pathogen type and the dominant diffusion area of ​​the pathogen includes:

[0013] Based on the fluorescent labeling technology, the fluorescent detection instrument is controlled to perform pathogen detection on the goods to obtain a first detection result;

[0014] Determining whether the pathogen exists in the cargo according to the first detection result;

[0015] If it is determined that the pathogen exists in the cargo, the current area where the pathogen is located is used as the dominant diffusion area of ​​the pathogen, and the vehicle-mounted PCR instrument is controlled to perform amplification detection on the pathogen to obtain a second detection result; the pathogen type of the pathogen is determined based on the second detection result.

[0016] The above technical solution has the following advantages: Combining the rapid screening of fluorescence detection instruments and the precise detection of vehicle-mounted PCR instruments can greatly improve the accuracy and reliability of pathogen detection. At the same time, the introduction of vehicle-mounted PCR instruments enables the identification of pathogen species to be completed instantly on the cold chain vehicle, without the need to send samples back to the laboratory for analysis, thereby greatly shortening the detection time. In addition, through real-time monitoring and rapid response, cold chain logistics companies can quickly take measures to control the spread of pathogens, reduce losses, and improve their overall ability to respond to emergencies.

[0017] Optionally, the mobile pathogen detection mechanism includes a pathogen disinfection component to perform disinfection work on the dominant diffusion area, including:

[0018] Calculating the coverage area of ​​the dominant diffusion region;

[0019] According to the coverage area, controlling the fluorescence detection instrument to perform a germ density detection operation on the explicit diffusion area to obtain the germ density data of the explicit diffusion area;

[0020] Determine the disinfectant according to the type of the pathogen; obtain the unit area usage of the disinfectant;

[0021] Determine the required amount of dominant disinfectant in the dominant area according to the coverage area, the germ density data, and the unit area usage;

[0022] The pathogen disinfecting component is controlled to perform the disinfection work on the dominant diffusion area according to the required amount of the dominant disinfection agent.

[0023] The above technical solution has the following advantages: by calculating the coverage area and pathogen density of the dominant diffusion area, the required amount of disinfectant can be accurately determined to avoid waste and excessive disinfection. At the same time, selecting appropriate disinfectants according to the type of pathogens and ensuring the uniform distribution of the agents in the target area will help improve the disinfection effect and reduce the risk of residual pathogens. In addition, during the disinfection process, the changes in the carriage environment are monitored to avoid unnecessary damage or contamination to food and ensure that food quality is not affected.

[0024] Optionally, disinfection work is carried out in the hidden diffusion area, including:

[0025] Performing a puffing treatment on the latent diffusion area to obtain a puffed area;

[0026] The germ disinfection component is controlled to perform disinfection work on the expanded area according to the minimum amount of disinfection agent required.

[0027] The above technical solution has the following advantages: through expansion treatment, the original latent diffusion area and the surrounding areas that may be affected can be effectively disinfected, which improves the coverage and reliability of disinfection. In addition, comprehensive disinfection reduces the risk of residual bacteria during cold chain transportation, ensuring the safety and sanitary quality of goods; in addition, during the disinfection process, the dosage and release method of the agent are strictly controlled to avoid unnecessary damage or contamination to food, ensuring the quality and safety of food.

[0028] Optionally, determining the required amount of the disinfectant in the dominant area according to the coverage area, the germ density data, and the unit area usage includes:

[0029] According to the coverage area, the germ density data, and the unit area dosage, the required amount of the disinfectant in the dominant area is determined, with specific reference to the following formula:

[0030]

[0031] Among them, Q represents the required amount of the disinfectant; C0 represents the amount per unit area; A represents the coverage area (unit: such as square meters); D represents the pathogen density data (unit: such as the number of pathogens / square meter); D0 represents a reference pathogen density or number, which is used to standardize the scale of pathogens (if D is smaller than D0, the item in the brackets is close to 1, indicating that the scale of pathogens has little effect on the amount of agent used; if D is larger, the item in the brackets will increase, indicating that more agents are needed to cope with a higher scale of pathogens); F represents an adjustment factor, which is used to consider the combined effects of agent efficacy, pathogen resistance, cargo material, environmental factors (such as temperature, humidity), etc. This value can be determined through actual tests or empirical data.

[0032] The above technical solution has the following advantages: by introducing pathogen density data and comprehensive adjustment factors, the method can more accurately calculate the required amount of disinfectant, avoiding waste or shortage of agents, and the introduction of adjustment factors enables the method to adapt to different disinfection scenarios and conditions, improving its flexibility and applicability.

[0033] Optionally, the method further includes:

[0034] After the disinfection work is completed, the dominant diffusion area and the area after the expansion treatment are used as the historical diffusion area;

[0035] Marking the historical diffusion area to obtain a marked area;

[0036] Controlling the mobile pathogen detection mechanism to perform secondary pathogen detection on the marked area;

[0037] When the cold chain vehicle is stopped and restarted, the cycle of the pathogen detection work of the mobile pathogen detection mechanism is reset.

[0038] The above technical solution has the following advantages: Through secondary pathogen detection, the effectiveness of disinfection can be verified to ensure that the pathogens are effectively controlled. At the same time, marking and tracking the historical diffusion areas can help to timely discover and deal with potential pathogen diffusion problems and improve the safety of cold chain transportation. In addition, according to the operating status and task changes of the cold chain vehicle, the cycle and strategy of pathogen detection can be flexibly adjusted to make the detection work more efficient and economical.

[0039] Optionally, the cold chain vehicle includes a shelf, and the method further includes:

[0040] Before the goods are loaded onto the vehicle, barcodes are affixed to the goods; the barcodes include but are not limited to the types of goods;

[0041] When the goods are loaded onto the vehicle, the goods are separated and placed on the shelves;

[0042] When performing pathogen detection, controlling the mobile pathogen detection mechanism to scan the barcode to obtain the type of the goods;

[0043] Based on the pathogen database, the type of pathogen is predicted in advance according to the type of the goods.

[0044] The above technical solution has the following advantages: by scanning the barcode, the cargo type information can be quickly obtained, and the time range of pathogen retrieval can be shortened accordingly, which significantly improves the efficiency of pathogen detection. At the same time, the pre-screening of pathogen types based on cargo types makes the detection work more targeted and avoids the waste of resources that may be caused by blind detection.

[0045] In a second aspect, the present application provides an intelligent monitoring system for cold chain transportation based on the Internet of Things, comprising:

[0046] The detection module is used to control the mobile pathogen detection mechanism to regularly perform pathogen detection on the goods during the transportation of the goods by the cold chain vehicle, and determine the pathogen type and the dominant diffusion area of ​​the pathogen;

[0047] The analysis module is used to retrieve and extract the diffusion speed of the pathogen based on the pathogen database and according to the pathogen type; determine the duration of the explicit diffusion of the pathogen according to the explicit diffusion area and the diffusion speed; and determine the initial breeding time of the pathogen according to the duration of the explicit diffusion and the current time point;

[0048] A prediction module is used to obtain the airflow direction trajectory with the explicit diffusion area as the center point from the initial breeding time point to the current time point; determine the diffusion direction of the pathogen according to the airflow direction trajectory; determine the latent diffusion area of ​​the pathogen according to the diffusion direction, the diffusion speed, and the duration of the explicit diffusion;

[0049] The disinfection module is used to disinfect the explicit diffusion area and the implicit diffusion area.

[0050] Optionally, the detection module is specifically used to:

[0051] Based on the fluorescent labeling technology, the fluorescent detection instrument is controlled to perform pathogen detection on the goods to obtain a first detection result;

[0052] Determining whether the pathogen exists in the cargo according to the first detection result;

[0053] If it is determined that the pathogen exists in the cargo, the current area where the pathogen is located is used as the dominant diffusion area of ​​the pathogen, and the vehicle-mounted PCR instrument is controlled to perform amplification detection on the pathogen to obtain a second detection result; the pathogen type of the pathogen is determined based on the second detection result.

[0054] Optionally, the disinfection module is specifically used for:

[0055] Calculating the coverage area of ​​the dominant diffusion region;

[0056] According to the coverage area, controlling the fluorescence detection instrument to perform a germ density detection operation on the explicit diffusion area to obtain the germ density data of the explicit diffusion area;

[0057] Determine the disinfectant according to the type of the pathogen; obtain the unit area usage of the disinfectant;

[0058] Determine the required amount of dominant disinfectant in the dominant area according to the coverage area, the germ density data, and the unit area usage;

[0059] The pathogen disinfecting component is controlled to perform the disinfection work on the dominant diffusion area according to the required amount of the dominant disinfection agent.

[0060] Optionally, the disinfection module is specifically used for:

[0061] Performing a puffing treatment on the latent diffusion area to obtain a puffed area;

[0062] The germ disinfection component is controlled to perform disinfection work on the expanded area according to the minimum amount of disinfection agent required.

[0063] Optionally, the disinfection module is specifically used for:

[0064] According to the coverage area, the germ density data, and the unit area dosage, the required amount of the disinfectant in the dominant area is determined, with specific reference to the following formula:

[0065]

[0066] Among them, Q represents the required amount of the disinfectant; C0 represents the amount per unit area; A represents the coverage area (unit: such as square meters); D represents the pathogen density data (unit: such as the number of pathogens / square meter); D0 represents a reference pathogen density or number, which is used to standardize the scale of pathogens (if D is smaller than D0, the item in the brackets is close to 1, indicating that the scale of pathogens has little effect on the amount of agent used; if D is larger, the item in the brackets will increase, indicating that more agents are needed to cope with a higher scale of pathogens); F represents an adjustment factor, which is used to consider the combined effects of agent efficacy, pathogen resistance, cargo material, environmental factors (such as temperature, humidity), etc. This value can be determined through actual tests or empirical data.

[0067] Optionally, the cold chain transportation intelligent monitoring system based on the Internet of Things further includes a re-inspection module, which is used to:

[0068] After the disinfection work is completed, the dominant diffusion area and the area after the expansion treatment are used as the historical diffusion area;

[0069] Marking the historical diffusion area to obtain a marked area;

[0070] Controlling the mobile pathogen detection mechanism to perform secondary pathogen detection on the marked area;

[0071] When the cold chain vehicle is stopped and restarted, the cycle of the pathogen detection work of the mobile pathogen detection mechanism is reset.

[0072] Optionally, the cold chain transportation intelligent monitoring system based on the Internet of Things further includes an auxiliary module for:

[0073] Before the goods are loaded onto the vehicle, barcodes are affixed to the goods; the barcodes include but are not limited to the types of goods;

[0074] When the goods are loaded onto the vehicle, the goods are separated and placed on the shelves;

[0075] When performing pathogen detection, controlling the mobile pathogen detection mechanism to scan the barcode to obtain the type of the goods;

[0076] Based on the pathogen database, the type of pathogen is predicted in advance according to the type of the goods. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0078] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0079] Figure 2 A flowchart of an intelligent monitoring method for cold chain transportation based on the Internet of Things provided in one embodiment of the present application;

[0080] Figure 3 A schematic diagram of the structure of an intelligent monitoring system for cold chain transportation based on the Internet of Things provided in one embodiment of the present application. DETAILED DESCRIPTION

[0081] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0082] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0083] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0084] At present, cold chain logistics mainly rely on cold chain vehicles for transportation. In order to ensure the safety and quality of cold chain food during transportation, the vehicles will implement comprehensive and detailed disinfection and sterilization measures inside the carriage before loading, aiming to prevent food from spoiling due to contamination by pathogens. However, in the transportation process, the problem of cold air circulation being blocked in cold chain vehicles often occurs. This is mainly due to improper cargo loading methods, poor compartment sealing, refrigeration system failure, poor condenser heat dissipation, and equipment aging. These factors may cause the cold air to be unable to circulate effectively in some areas of the carriage, which in turn causes local temperature rise, providing favorable conditions for the reproduction of pathogens. Unfortunately, most cold chain vehicles do not continue to carry out disinfection operations in the carriage during transportation, which invisibly provides opportunities for the growth of pathogens and needs to be improved.

[0085] Although a few cold chain vehicles choose to disinfect during transportation, for cost and efficiency reasons, they often only treat goods and surrounding areas where pathogens have been detected, and fail to take timely and effective disinfection measures for goods or areas that may be in the latent period of pathogens and have not yet shown obvious signs of contamination. Although this approach seems to save costs, it actually lays hidden dangers, because those goods that have been invaded by pathogens but have not yet shown signs of contamination are very likely to become the source of a new round of pathogen transmission, thus posing a threat to the overall safety of cold chain food.

[0086] Based on this, the present application provides an intelligent monitoring method and system for cold chain transportation based on the Internet of Things. Through real-time monitoring and intelligent analysis, the threat of pathogens can be discovered and eliminated in a timely manner, effectively reducing the risk of contamination of cold chain food during transportation and improving the overall safety of food. At the same time, based on the diffusion speed of pathogens and the trajectory of airflow, the explicit diffusion area and implicit diffusion area of ​​pathogens are determined to achieve precise disinfection, avoiding the blindness and waste of resources in traditional disinfection methods. In addition, the automated and intelligent monitoring and disinfection process reduces manual intervention and improves the efficiency and reliability of cold chain transportation.

[0087] Figure 1 A schematic diagram of an application scenario provided for this application.

[0088] During the cold chain transportation process, the scheme of the present application is applied for monitoring. Specifically, a server is set in the cold chain transportation intelligent monitoring device based on the Internet of Things, and the server communicates with the mobile pathogen detection mechanism, and communicates with the pathogen disinfection component. The server sends a pathogen detection instruction to the mobile pathogen detection mechanism, controls the mobile pathogen detection mechanism to perform pathogen detection according to the pathogen detection instruction, and feeds back the pathogen detection results. The server analyzes the pathogen detection results to obtain the explicit diffusion area and the implicit diffusion area. The server sends a disinfection instruction to the pathogen disinfection component, and controls the pathogen disinfection component to disinfect the explicit diffusion area and the implicit diffusion area according to the disinfection instruction; through real-time monitoring and intelligent analysis, the threat of pathogens is discovered and eliminated in time, which effectively reduces the risk of contamination of cold chain food during transportation and improves the overall safety of food. At the same time, based on the diffusion speed of pathogens and the trajectory of airflow direction, the explicit diffusion area and the implicit diffusion area of ​​the pathogen are determined to achieve precise disinfection, avoiding the blindness and waste of resources in traditional disinfection methods.

[0089] For specific implementation methods, please refer to the following embodiments.

[0090] Figure 2 This is a flowchart of a cold chain transportation intelligent monitoring method based on the Internet of Things provided in an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes:

[0091] S201. In the process of transporting goods by cold chain vehicles, control the mobile pathogen detection agency to regularly conduct pathogen detection on the goods to determine the pathogen types and the dominant diffusion areas of the pathogens.

[0092] Specifically, during the cold chain vehicle transportation process, the mobile pathogen detection agency is controlled to conduct pathogen detection on the goods in the carriage at preset time intervals (such as every two hours); the mobile pathogen detection agency determines whether there are pathogens and their types in the carriage through sampling and analysis, and marks the obvious diffusion area of ​​the pathogens.

[0093] S202, based on the pathogen database, according to the pathogen type, retrieve and extract the diffusion speed of the pathogen; according to the explicit diffusion area and the diffusion speed, determine the duration of the explicit diffusion of the pathogen; according to the duration of the explicit diffusion and the current time point, determine the initial breeding time point of the pathogen.

[0094] Specifically, the pathogen detection data is received, and the diffusion speed of the corresponding pathogen is retrieved using the built-in pathogen database. According to the explicit diffusion area and diffusion speed, the duration of the explicit diffusion of the pathogen is calculated, and the initial breeding time of the pathogen is determined retrospectively.

[0095] S203, obtaining the airflow trajectory with the explicit diffusion area as the center point from the initial breeding time point to the current time point; determining the diffusion direction of the pathogen according to the airflow trajectory; determining the latent diffusion area of ​​the pathogen according to the diffusion direction, diffusion speed, and duration of explicit diffusion.

[0096] Specifically, the airflow simulation model in the car is combined to obtain the airflow trajectory from the initial breeding time point to the current time point, so as to determine the diffusion direction of the pathogen. Based on the diffusion direction, diffusion speed and duration of explicit diffusion, the latent diffusion area of ​​the pathogen is further predicted and determined.

[0097] S204. Carry out disinfection work in the areas of obvious spread and latent spread.

[0098] Specifically, once the dominant and recessive diffusion areas of the pathogens are identified, a command is immediately issued to the cold chain vehicle to activate the disinfection system in the vehicle compartment to carry out targeted disinfection work in these two areas. During the disinfection process, the pathogen detection data is continuously monitored to ensure the disinfection effect, and the disinfection strategy is adjusted when necessary.

[0099] Through the method provided in this embodiment, through real-time monitoring and intelligent analysis, the threat of pathogens can be discovered and eliminated in a timely manner, effectively reducing the risk of contamination of cold chain food during transportation and improving the overall safety of food. At the same time, based on the diffusion speed of pathogens and the trajectory of airflow direction, the explicit diffusion area and implicit diffusion area of ​​pathogens are determined to achieve precise disinfection, avoiding the blindness and waste of resources in traditional disinfection methods. In addition, the automated and intelligent monitoring and disinfection process reduces manual intervention and improves the efficiency and reliability of cold chain transportation.

[0100] In some embodiments, based on fluorescent labeling technology, a fluorescent detection instrument is controlled to perform pathogen detection on the cargo to obtain a first detection result; based on the first detection result, it is determined whether the cargo contains pathogens; if it is determined that the cargo contains pathogens, the current area where the pathogens are located is used as the dominant diffusion area of ​​the pathogens, and a vehicle-mounted PCR instrument is controlled to perform amplification detection on the pathogens to obtain a second detection result; based on the second detection result, the type of the pathogen is determined.

[0101] The mobile pathogen detection device includes a fluorescence detection instrument and a vehicle-mounted PCR instrument.

[0102] Specifically, preliminary screening by fluorescence detection: During the transportation of cold chain vehicles, the mobile pathogen detection agency starts working according to the preset cycle instructions. The fluorescence detection instrument is based on fluorescent labeling technology to quickly screen the goods in the car for pathogens. This technology uses specific fluorescent dyes to mark specific antibodies or nucleic acid sequences of pathogens. When these markers bind to pathogens, they will emit fluorescent signals under the excitation of light of a specific wavelength, thereby indicating the presence of pathogens. After the fluorescence detection instrument completes the detection, the first detection result (including information such as fluorescence signal intensity and distribution location) will be fed back.

[0103] Pathogen existence judgment: Receive the first test result, analyze the fluorescence signal through the built-in data processing algorithm, and judge whether there are pathogens in the goods. If the fluorescence signal intensity exceeds the preset threshold and the distribution has a certain aggregation, it is preliminarily judged that there are pathogens in the goods.

[0104] Determination of dominant diffusion area: Once the presence of pathogens in the cargo is confirmed, the area where the pathogens are currently located is marked as the dominant diffusion area. This area is usually the part with the strongest and most concentrated fluorescent signal.

[0105] PCR amplification test to confirm the type of pathogen: Control the vehicle-mounted PCR instrument to amplify and test the pathogens in the dominant diffusion area. PCR (polymerase chain reaction) is a molecular biology technology that rapidly amplifies specific DNA fragments in vitro. By designing specific primers, accurate detection and amplification of pathogen DNA can be achieved. The vehicle-mounted PCR instrument rapidly amplifies the pathogen sample in the car, and sequences the amplified product or hybridizes it with a specific probe to obtain the second test result and provide feedback. This result can accurately determine the type of pathogen, and may even include the subtype and mutation of the pathogen.

[0106] Data aggregation and feedback: The second test result is integrated with the first test result to form a complete pathogen detection report. This report not only contains the existence and type information of the pathogen, but also marks the dominant diffusion area of ​​the pathogen. According to the pathogen detection report, formulate corresponding disinfection strategies, and control the disinfection system on the cold chain vehicle to carry out targeted disinfection of the dominant diffusion area and possible recessive diffusion areas.

[0107] Through the solution provided in this embodiment, combined with the rapid screening of the fluorescence detection instrument and the precise detection of the vehicle-mounted PCR instrument, the accuracy and reliability of pathogen detection can be greatly improved. At the same time, the introduction of the vehicle-mounted PCR instrument enables the identification of pathogen species to be completed instantly on the cold chain vehicle, without the need to send the sample back to the laboratory for analysis, thereby greatly shortening the detection time. In addition, through real-time monitoring and rapid response, cold chain logistics companies can quickly take measures to control the spread of pathogens, reduce losses, and improve the overall ability to respond to emergencies.

[0108] In some embodiments, the coverage area of ​​the explicit diffusion area is calculated; based on the coverage area, the fluorescence detection instrument is controlled to perform pathogen density detection on the explicit diffusion area to obtain pathogen density data of the explicit diffusion area; the disinfectant is determined according to the type of pathogen; the unit area dosage of the disinfectant is obtained; based on the coverage area, the pathogen density data, and the unit area dosage, the required amount of the explicit disinfectant in the explicit area is determined; and the pathogen disinfection component is controlled to perform disinfection on the explicit diffusion area according to the required amount of the explicit disinfectant.

[0109] The mobile pathogen detection mechanism includes a pathogen disinfection component.

[0110] Specifically, the coverage area of ​​the explicit diffusion region is calculated: according to the detection result of the fluorescence detection instrument, the coverage area of ​​the explicit diffusion region is automatically calculated and determined by using image processing or spatial analysis technology.

[0111] Pathogen density detection: According to the coverage area of ​​the dominant diffusion area, the fluorescence detection instrument is controlled to conduct further pathogen density detection in the area. This step aims to obtain more detailed pathogen distribution, including key parameters such as the number and distribution density of pathogens. The fluorescence detection instrument improves the accuracy of pathogen density detection by adjusting detection parameters (such as exposure time, fluorescence signal intensity threshold, etc.) and provides timely feedback on the test results.

[0112] Determine the disinfectant and dosage: According to the type of pathogen, retrieve the corresponding disinfectant from the preset pathogen-disinfectant database. Different pathogens have different sensitivities to disinfectants, so it is crucial to choose the right disinfectant. At the same time, obtain the unit area dosage standard of the disinfectant. This standard may vary depending on factors such as the type of pathogen, pathogen density, and carriage environment. Combined with the coverage area of ​​the explicit diffusion area, pathogen density data, and unit area dosage standards, calculate the total amount of explicit disinfectant required for the explicit area.

[0113] Implement disinfection work: Control the pathogen disinfection components and accurately spray or release the disinfection agent in the explicit diffusion area according to the calculated required amount of the explicit disinfection agent. The disinfection components may include spray devices, gas release devices, etc. The specific form depends on the nature and use requirements of the disinfection agent.

[0114] During the disinfection process, monitor the release of disinfectants and environmental changes in the car (such as temperature, humidity, gas concentration, etc.) to ensure the disinfection effect and avoid unnecessary damage to food.

[0115] Through the solution provided by this embodiment, by calculating the coverage area and germ density of the dominant diffusion area, the required amount of disinfectant can be accurately determined to avoid waste and excessive disinfection. At the same time, selecting appropriate disinfectants according to the type of germs and ensuring the uniform distribution of the agents in the target area will help improve the disinfection effect and reduce the risk of residual germs. In addition, during the disinfection process, the changes in the compartment environment are monitored to avoid unnecessary damage or contamination to food and ensure that food quality is not affected.

[0116] In some embodiments, the latent diffusion area is puffed to obtain a puffed area; the germ disinfection component is controlled to perform disinfection on the puffed area according to the minimum amount of disinfection agent required.

[0117] Specifically, puffing treatment:

[0118] The identified latent spreading area is expanded (edge ​​expansion), that is, the boundary of the area is extended outward by a certain distance to form a new area that contains the original latent spreading area and is slightly larger. We call it the "expanded area". This step is to ensure that every corner of the original latent spreading area and the possible edges of the pathogen spread can be effectively covered during the disinfection process.

[0119] Determine the amount of disinfectant: Based on the area of ​​the expanded area, combined with the type of pathogen, the efficacy of the disinfectant, and the minimum effective disinfection concentration, determine the total amount of disinfectant required. This step ensures that all areas in the expanded area can achieve effective disinfection even under the most unfavorable conditions.

[0120] Execution of disinfection work: Control the disinfection component to carry out comprehensive and uniform disinfection treatment on the expanded area according to the calculated total amount of disinfection agent. During the disinfection process, ensure that the agent can fully penetrate into every corner of the expanded area, so as to effectively kill potential pathogens in the area.

[0121] Through the solution provided in this embodiment, the expansion treatment ensures that the original latent diffusion area and the surrounding areas that may be affected can be effectively disinfected, thereby improving the coverage and reliability of disinfection. In addition, the comprehensive disinfection treatment reduces the risk of residual pathogens during cold chain transportation, ensuring the safety and sanitary quality of the goods; in addition, during the disinfection process, the dosage and release method of the agent are strictly controlled to avoid unnecessary damage or contamination to the food, thereby ensuring the quality and safety of the food.

[0122] In some embodiments, the required amount of disinfectant in the visible area is determined based on the coverage area, the germ density data, and the amount per unit area, with specific reference to the following formula:

[0123]

[0124] Among them, Q represents the required amount of disinfectant; C0 represents the amount per unit area; A represents the coverage area (unit: such as square meters); D represents the pathogen density data (unit: such as the number of pathogens / square meter); D0 represents a reference pathogen density or number, which is used to standardize the scale of pathogens (if D is smaller than D0, the item in the brackets is close to 1, indicating that the scale of pathogens has little effect on the amount of agent used; if D is larger, the item in the brackets will increase, indicating that more agents are needed to cope with a higher scale of pathogens); F represents the adjustment factor, which is used to consider the combined effects of agent efficacy, pathogen resistance, cargo material, environmental factors (such as temperature, humidity), etc. This value can be determined through actual tests or empirical data.

[0125] Through the solution provided in this embodiment, by introducing pathogen density data and comprehensive adjustment factors, the method can more accurately calculate the required amount of disinfectant, avoiding waste or shortage of agents, and the introduction of adjustment factors enables the method to adapt to different disinfection scenarios and conditions, improving its flexibility and applicability.

[0126] In some embodiments, after the disinfection work is completed, the explicit diffusion area and the area after expansion treatment are used as historical diffusion areas; the historical diffusion area is marked to obtain a marked area; the mobile pathogen detection mechanism is controlled to perform secondary pathogen detection on the marked area; when the cold chain vehicle stops and restarts, the pathogen detection work cycle of the mobile pathogen detection mechanism is reset.

[0127] Specifically, historical diffusion area marking: after completing the disinfection work in the dominant diffusion area and the area after expansion treatment, these two areas will be recorded as historical diffusion areas. This will help to track and analyze the spread of pathogens in the future.

[0128] Mark the historical diffusion areas to generate marked areas. These marks can be in the digital system (such as marked as "eliminated" or "key focus area" in the system).

[0129] Secondary pathogen detection: Control the mobile pathogen detection agency to conduct secondary pathogen detection work in the marked area. This step is to verify the disinfection effect and ensure that the pathogens are effectively controlled. The secondary detection can use the same or different methods as the initial detection, depending on the type of pathogen, the characteristics of the disinfection agent, and the specific requirements of cold chain transportation. If the secondary detection results show that pathogens are still present or the pathogen density exceeds the safety threshold, disinfection needs to be repeated and the disinfection strategy may be adjusted.

[0130] Reset the pathogen detection cycle: When the cold chain vehicle stops and restarts (for example, unloading and reloading goods after arriving at the destination), it is necessary to reset the pathogen detection cycle of the mobile pathogen detection agency, and take the current time point as the first cycle, and start the first disinfection work immediately.

[0131] Through the solution provided in this embodiment, secondary pathogen detection can verify the effectiveness of the disinfection work and ensure that the pathogens are effectively controlled. At the same time, marking and tracking the historical diffusion areas can help to timely discover and deal with potential pathogen diffusion problems and improve the safety of cold chain transportation. In addition, according to the operating status and task changes of the cold chain vehicle, the cycle and strategy of pathogen detection can be flexibly adjusted to make the detection work more efficient and economical.

[0132] In some embodiments, before the goods are loaded onto a truck, a barcode is affixed to the goods; the barcode includes but is not limited to the type of goods; when the goods are loaded onto the truck, the goods are separated and placed on shelves; when performing pathogen detection, a mobile pathogen detection mechanism is controlled to scan the barcode to obtain the type of goods; based on a pathogen database, the type of pathogen is predicted in advance according to the type of goods.

[0133] The cold chain vehicle includes shelves.

[0134] Specifically, barcode affixing of goods: Before loading, barcodes are affixed to each piece of goods. The barcodes contain key information about the goods, especially the type of goods. These barcodes will serve as an important basis for identifying goods in subsequent pathogen detection work.

[0135] Separate the goods: When loading the goods, they are separated and placed on the shelves in the cold chain vehicle according to the established rules or requirements. This step helps to keep the goods orderly and easy to manage, and also facilitates the subsequent pathogen detection work.

[0136] Pathogen detection and barcode scanning: When performing pathogen detection, the mobile pathogen detection agency first scans the barcode on the goods. By scanning the barcode, the type of goods can be quickly obtained. After obtaining the type of goods, the pathogen database is immediately accessed to conduct targeted pathogen searches based on the types of pathogens that are common or likely to breed in this type of goods in historical data. This step effectively shortens the time range of pathogen searches and improves detection efficiency.

[0137] Pathogen detection and result analysis: Based on the selected pathogen types, the mobile pathogen detection agency is controlled to conduct targeted pathogen detection on the goods. After the detection is completed, the results are automatically analyzed to assess the risk and degree of pathogen contamination.

[0138] Feedback of test results and response measures: The test results will be fed back to the management personnel in a timely manner, and corresponding response measures will be formulated according to the actual situation. If pathogen contamination is detected, the emergency plan will be immediately activated, including but not limited to the isolation and treatment of contaminated goods and the comprehensive disinfection of cold chain vehicles.

[0139] Through the solution provided in this embodiment, the cargo type information is quickly obtained by scanning the barcode, and the time range of pathogen retrieval is shortened accordingly, which significantly improves the efficiency of pathogen detection. At the same time, the pre-screening of pathogen types based on cargo types makes the detection work more targeted and avoids the waste of resources that may be caused by blind detection.

[0140] Figure 3 A schematic diagram of a cold chain transportation intelligent monitoring system based on the Internet of Things is provided in one embodiment of the present application, such as Figure 3 As shown, the IoT-based cold chain transportation intelligent monitoring system 300 of this embodiment includes: a detection module 301, an analysis module 302, a prediction module 303, and a disinfection module 304.

[0141] The detection module 301 is used to control the mobile pathogen detection mechanism to regularly perform pathogen detection on the goods during the transportation of the goods by the cold chain vehicle, and determine the pathogen type and the dominant diffusion area of ​​the pathogen;

[0142] The analysis module 302 is used to retrieve and extract the diffusion speed of the pathogen based on the pathogen database and according to the pathogen type; determine the duration of the explicit diffusion of the pathogen according to the explicit diffusion area and the diffusion speed; and determine the initial breeding time point of the pathogen according to the duration of the explicit diffusion and the current time point;

[0143] The prediction module 303 is used to obtain the airflow direction trajectory with the explicit diffusion area as the center point from the initial breeding time point to the current time point; determine the diffusion direction of the pathogen according to the airflow direction trajectory; determine the latent diffusion area of ​​the pathogen according to the diffusion direction, the diffusion speed, and the duration of the explicit diffusion;

[0144] The disinfection module 304 is used to disinfect the explicit diffusion area and the implicit diffusion area.

[0145] Optionally, the detection module 301 is specifically used to:

[0146] Based on the fluorescent labeling technology, the fluorescent detection instrument is controlled to perform pathogen detection on the goods to obtain a first detection result;

[0147] Determining whether the pathogen exists in the cargo according to the first detection result;

[0148] If it is determined that the pathogen exists in the cargo, the current area where the pathogen is located is used as the dominant diffusion area of ​​the pathogen, and the vehicle-mounted PCR instrument is controlled to perform amplification detection on the pathogen to obtain a second detection result; the pathogen type of the pathogen is determined based on the second detection result.

[0149] Optionally, the disinfection module 304 is specifically used to:

[0150] Calculating the coverage area of ​​the dominant diffusion region;

[0151] According to the coverage area, controlling the fluorescence detection instrument to perform a germ density detection operation on the explicit diffusion area to obtain the germ density data of the explicit diffusion area;

[0152] Determine the disinfectant according to the type of the pathogen; obtain the unit area usage of the disinfectant;

[0153] Determine the required amount of dominant disinfectant in the dominant area according to the coverage area, the germ density data, and the unit area usage;

[0154] The pathogen disinfecting component is controlled to perform the disinfection work on the dominant diffusion area according to the required amount of the dominant disinfection agent.

[0155] Optionally, the disinfection module 304 is specifically used to:

[0156] Performing a puffing treatment on the latent diffusion area to obtain a puffed area;

[0157] The germ disinfection component is controlled to perform disinfection work on the expanded area according to the minimum amount of disinfection agent required.

[0158] Optionally, the disinfection module 304 is specifically used to:

[0159] According to the coverage area, the germ density data, and the unit area dosage, the required amount of the disinfectant in the dominant area is determined, with specific reference to the following formula:

[0160]

[0161] Among them, Q represents the required amount of the disinfectant; C0 represents the amount per unit area; A represents the coverage area (unit: such as square meters); D represents the pathogen density data (unit: such as the number of pathogens / square meter); D0 represents a reference pathogen density or number, which is used to standardize the scale of pathogens (if D is smaller than D0, the item in the brackets is close to 1, indicating that the scale of pathogens has little effect on the amount of agent used; if D is larger, the item in the brackets will increase, indicating that more agents are needed to cope with a higher scale of pathogens); F represents an adjustment factor, which is used to consider the combined effects of agent efficacy, pathogen resistance, cargo material, environmental factors (such as temperature, humidity), etc. This value can be determined through actual tests or empirical data.

[0162] Optionally, the IoT-based cold chain transportation intelligent monitoring system 300 further includes a re-inspection module 305, which is used to:

[0163] After the disinfection work is completed, the dominant diffusion area and the area after the expansion treatment are used as the historical diffusion area;

[0164] Marking the historical diffusion area to obtain a marked area;

[0165] Controlling the mobile pathogen detection mechanism to perform secondary pathogen detection on the marked area;

[0166] When the cold chain vehicle is stopped and restarted, the cycle of the pathogen detection work of the mobile pathogen detection mechanism is reset.

[0167] Optionally, the cold chain transportation intelligent monitoring system 300 based on the Internet of Things further includes an auxiliary module 306, which is used to:

[0168] Before the goods are loaded onto the vehicle, barcodes are affixed to the goods; the barcodes include but are not limited to the types of goods;

[0169] When the goods are loaded onto the vehicle, the goods are separated and placed on the shelves;

[0170] When performing pathogen detection, controlling the mobile pathogen detection mechanism to scan the barcode to obtain the type of the goods;

[0171] Based on the pathogen database, the type of pathogen is predicted in advance according to the type of the goods.

[0172] The cold chain transportation intelligent monitoring system based on the Internet of Things of this embodiment can be used to execute the method of any of the above embodiments. Its implementation principles and technical effects are similar and will not be repeated here.

Claims

1. An intelligent monitoring method for cold chain transportation based on the Internet of Things, characterized in that: The invention is applied to an intelligent monitoring device for cold chain transportation based on the Internet of Things, wherein the intelligent monitoring device for cold chain transportation based on the Internet of Things comprises a mobile pathogen detection mechanism and a server, and the intelligent monitoring method for cold chain transportation based on the Internet of Things is applied to the server, and the method comprises: In the process of transporting goods by cold chain vehicles, the mobile pathogen detection mechanism is controlled to regularly perform pathogen detection on the goods to determine the pathogen type and the dominant diffusion area of ​​the pathogen; Based on the pathogen database, according to the pathogen type, the diffusion speed of the pathogen is retrieved and extracted; according to the explicit diffusion area and the diffusion speed, the duration of the explicit diffusion of the pathogen is determined; according to the duration of the explicit diffusion and the current time point, the initial breeding time point of the pathogen is determined; Obtaining an airflow trajectory with the explicit diffusion area as the center point from the initial breeding time point to the current time point; determining the diffusion direction of the pathogen according to the airflow trajectory; determining the latent diffusion area of ​​the pathogen according to the diffusion direction, the diffusion speed, and the duration of the explicit diffusion; Disinfection work is carried out in the explicit diffusion area and the implicit diffusion area.

2. The method according to claim 1, characterized in that The mobile pathogen detection mechanism includes a fluorescence detection instrument and a vehicle-mounted PCR instrument. The mobile pathogen detection mechanism is controlled to regularly perform pathogen detection on the cargo to determine the pathogen type and the dominant diffusion area of ​​the pathogen, including: Based on the fluorescent labeling technology, the fluorescent detection instrument is controlled to perform pathogen detection on the goods to obtain a first detection result; Determining whether the pathogen exists in the cargo according to the first detection result; If it is determined that the pathogen exists in the cargo, the current area where the pathogen is located is used as the dominant diffusion area of ​​the pathogen, and the vehicle-mounted PCR instrument is controlled to perform amplification detection on the pathogen to obtain a second detection result; the pathogen type of the pathogen is determined based on the second detection result.

3. The method according to claim 2, characterized in that The mobile pathogen detection mechanism includes a pathogen disinfection component, which performs disinfection work on the dominant diffusion area, including: Calculating the coverage area of ​​the dominant diffusion region; According to the coverage area, controlling the fluorescence detection instrument to perform a germ density detection operation on the explicit diffusion area to obtain the germ density data of the explicit diffusion area; Determine the disinfectant according to the type of the pathogen; obtain the unit area usage of the disinfectant; Determine the required amount of dominant disinfectant in the dominant area according to the coverage area, the germ density data, and the unit area usage; The pathogen disinfecting component is controlled to perform the disinfection work on the dominant diffusion area according to the required amount of the dominant disinfection agent.

4. The method according to claim 3, characterized in that: Disinfection work is carried out in the hidden spreading area, including: Performing a puffing treatment on the latent diffusion area to obtain a puffed area; The germ disinfection component is controlled to perform disinfection work on the expanded area according to the minimum amount of disinfection agent required.

5. The method according to claim 3, characterized in that: The method of determining the required amount of the disinfectant in the dominant area according to the coverage area, the germ density data, and the unit area dosage includes: According to the coverage area, the germ density data, and the unit area dosage, the required amount of the disinfectant in the dominant area is determined, with specific reference to the following formula: Among them, Q represents the required amount of the disinfectant; C0 represents the amount per unit area; A represents the coverage area (unit: such as square meters); D represents the pathogen density data (unit: such as the number of pathogens / square meter); D0 represents a reference pathogen density or number, which is used to standardize the scale of pathogens (if D is smaller than D0, the item in the brackets is close to 1, indicating that the scale of pathogens has little effect on the amount of agent used; if D is larger, the item in the brackets will increase, indicating that more agents are needed to cope with a higher scale of pathogens); F represents an adjustment factor, which is used to consider the combined effects of agent efficacy, pathogen resistance, cargo material, environmental factors (such as temperature, humidity), etc. This value can be determined through actual tests or empirical data.

6. The method according to claim 4, characterized in that The method further comprises: After the disinfection work is completed, the dominant diffusion area and the area after the expansion treatment are used as the historical diffusion area; Marking the historical diffusion area to obtain a marked area; Controlling the mobile pathogen detection mechanism to perform secondary pathogen detection on the marked area; When the cold chain vehicle is stopped and restarted, the cycle of the pathogen detection work of the mobile pathogen detection mechanism is reset.

7. The method according to claim 1, characterized in that The cold chain vehicle comprises a shelf, and the method further comprises: Before the goods are loaded onto the vehicle, barcodes are affixed to the goods; the barcodes include but are not limited to the types of goods; When the goods are loaded onto the vehicle, the goods are separated and placed on the shelves; When performing pathogen detection, controlling the mobile pathogen detection mechanism to scan the barcode to obtain the type of the goods; Based on the pathogen database, the type of pathogen is predicted in advance according to the type of the goods.

8. An intelligent monitoring system for cold chain transportation based on the Internet of Things, characterized in that: include: The detection module is used to control the mobile pathogen detection mechanism to regularly perform pathogen detection on the goods during the transportation of the goods by the cold chain vehicle, and determine the pathogen type and the dominant diffusion area of ​​the pathogen; An analysis module, for retrieving and extracting the diffusion speed of the pathogen based on the pathogen database and according to the pathogen type; and determining the duration of the explicit diffusion of the pathogen based on the explicit diffusion area and the diffusion speed; Determine the initial breeding time of the pathogen according to the duration of the dominant diffusion and the current time point; A prediction module is used to obtain the airflow direction trajectory with the explicit diffusion area as the center point from the initial breeding time point to the current time point; determine the diffusion direction of the pathogen according to the airflow direction trajectory; determine the latent diffusion area of ​​the pathogen according to the diffusion direction, the diffusion speed, and the duration of the explicit diffusion; The disinfection module is used to disinfect the explicit diffusion area and the implicit diffusion area.

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