Cold chain transportation safety management method and device, equipment and storage medium

Abstract

The invention relates to the technical field of equipment management, and discloses a cold chain transportation safety management method and device, equipment and a storage medium, and the method comprises the steps: carrying out the equipment initialization of detection equipment based on an obtained detection task, so as to obtain initial log data; collecting background radiation data, and constructing a baseline model according to the background radiation data; performing multi-source data acquisition based on the baseline model, and fusing the acquired data to obtain real-time monitoring data; performing anomaly identification on the real-time monitoring data to obtain an anomaly identification result; executing a corresponding early warning treatment measure based on the abnormal recognition result, and generating an early warning event record according to the early warning treatment measure; updating the initial log data based on the early warning event record to generate a transportation state report; according to the invention, systematic monitoring and early warning are carried out on the whole process of cold-chain transportation, so that efficient management and control of the whole process of cold-chain transportation are realized, and the safety and reliability of cold-chain transportation are remarkably improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of device management, and in particular to a cold chain transportation safety management method, device, equipment and storage medium. BACKGROUND

[0002] With the in-depth development of globalization trade, the importance of long-distance cold chain transportation is increasingly prominent. However, in the long-distance transportation process, due to long transportation time, complex path and variable environmental conditions, the transported goods face various potential risks (including but not limited to radioactive pollution, temperature fluctuation, humidity change, etc.), and the existing long-distance cold chain transportation safety management method mainly relies on the monitoring of a single index, lacks comprehensive analysis ability of multi-source data, and is difficult to fully reflect the dynamic risk changes in the transportation process; Such limitations lead to the fact that the safety and reliability of cold chain transportation cannot be fully guaranteed when facing complex transportation environment.

[0003] It can be seen that the prior art still has room for improvement. SUMMARY

[0004] In order to overcome the shortcomings of the prior art, the purpose of the present application is to provide a cold chain transportation safety management method, system, equipment and storage medium, which realizes efficient management and control of the whole process of cold chain transportation through systematic monitoring and early warning of the whole process of cold chain transportation, and significantly improves the safety and reliability of cold chain transportation.

[0005] The first aspect of the present application provides a cold chain transportation safety management method, comprising: initializing a detection device based on an acquired detection task to obtain initial log data; collecting background radiation data and constructing a baseline model according to the background radiation data; collecting multi-source data based on the baseline model and fusing the collected data to obtain real-time monitoring data; identifying abnormalities of the real-time monitoring data to obtain abnormal identification results; executing corresponding early warning disposal measures based on the abnormal identification results, and generating early warning event records according to the early warning disposal measures; updating the initial log data based on the early warning event records to generate a transportation state report.

[0006] Optionally, in the first implementation manner of the first aspect of the present application, the initialization of the detection device based on the acquired detection task to obtain the initial log data comprises: generating configuration data based on the acquired detection task; initializing configuration information of the detection device using the configuration data, and calibrating the detection device to obtain a calibration report; verifying the validity of the calibration report, and if valid, running the detection device to generate the initial log data.

[0007] Optionally, in the second implementation form of the first aspect of the present application, the collecting background radiation data and constructing a baseline model according to the background radiation data comprises: collecting natural radiation levels of the surrounding environment of the transportation environment to obtain the background radiation data; correcting the background radiation data to obtain corrected radiation data; and constructing the baseline model based on a statistical method and the corrected radiation data.

[0008] Optionally, in the third implementation form of the first aspect of the present application, the collecting multi-source data based on the baseline model and fusing the collected data to obtain real-time monitoring data comprises: collecting real-time data of the transported object and the transportation environment during the cold chain transportation to obtain real-time radioactive data and real-time environmental data; removing background radiation interference in the real-time radioactive data by using the baseline model to obtain corrected real-time radioactive data; and fusing the corrected real-time radioactive data and the real-time environmental data to obtain real-time monitoring data.

[0009] Optionally, in the fourth implementation form of the first aspect of the present application, the identifying abnormalities of the real-time monitoring data to obtain an abnormal identification result comprises: performing data cleaning on the real-time monitoring data to obtain cleaned data; identifying abnormalities of the cleaned data based on a preset rule to obtain a preliminary identification result; obtaining historical identification results and screening the preliminary identification result based on the historical identification results to obtain the abnormal identification result.

[0010] Optionally, in the fifth implementation form of the first aspect of the present application, the executing corresponding early warning treatment measures based on the abnormal identification result and generating an early warning event record according to the early warning treatment measures comprises: judging a risk level of the abnormal identification result based on a preset safety threshold to obtain a risk judgment result; executing corresponding early warning treatment measures based on the risk judgment result to obtain a treatment result; and generating the early warning event record according to the treatment result.

[0011] Optionally, in the sixth implementation form of the first aspect of the present application, the updating the initial log data based on the early warning event record to generate a transportation state report comprises: updating the initial log data based on the early warning event record to obtain updated log data; obtaining a transportation track route of the cold chain transportation; and analyzing the safety of the transportation process in combination with the transportation track route and the updated log data to obtain the transportation state report.

[0012] The second aspect of the present application provides a cold chain transportation safety management device, comprising: an initialization module, configured to perform device initialization on a detection device based on an obtained detection task to obtain initial log data; a baseline construction module, configured to collect background radiation data and construct a baseline model according to the background radiation data; a data acquisition module, configured to perform multi-source data acquisition based on the baseline model and fuse the collected data to obtain real-time monitoring data; an anomaly identification module, configured to perform anomaly identification on the real-time monitoring data to obtain an anomaly identification result; an early warning and disposal module, configured to perform corresponding early warning and disposal measures based on the anomaly identification result and generate an early warning event record according to the early warning and disposal measures; and a generation module, configured to update the initial log data based on the early warning event record to generate a transportation state report.

[0013] The third aspect of the present application provides a cold chain transportation safety management device, comprising: a memory and at least one processor, wherein the memory stores instructions; and the at least one processor invokes the instructions in the memory to enable the computer device to perform the steps of the cold chain transportation safety management method according to any one of the above aspects.

[0014] The fourth aspect of the present application provides a computer readable storage medium, wherein the computer readable storage medium stores instructions, and the instructions are executed by a processor to implement the steps of the cold chain transportation safety management method according to any one of the above aspects.

[0015] In the technical solution of the present application, the detection device is first initialized to generate initial log data, providing a basis for subsequent monitoring and management; then a baseline model is constructed based on collected background radiation data to correct the influence of natural environmental factors on the monitoring result; on this basis, multi-source parameters in the transportation process are collected and fused to generate real-time monitoring data; then the real-time monitoring data is subjected to anomaly identification to locate potential risks and take targeted measures through a hierarchical early warning mechanism; finally, the initial log data is updated based on the early warning event record and a transportation state report is generated, realizing whole-process traceable management of the transportation process; the present application realizes efficient management and control of the whole process of cold chain transportation through systematic monitoring and early warning of the whole process of cold chain transportation, significantly improving the safety and reliability of cold chain transportation. BRIEF DESCRIPTION OF DRAWINGS

[0016] The above and / or additional aspects and advantages of the present application will become apparent and more readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which: Figure 1 The first flowchart of the cold chain transportation safety management method provided by the embodiments of the present application; Figure 2 The second flowchart of the cold chain transportation safety management method provided by the embodiments of the present application; Figure 3 A third flowchart of the cold chain transportation safety management method provided for the embodiment of the present application is provided; Figure 4 A fourth flowchart of the cold chain transportation safety management method provided for the embodiment of the present application is provided; Figure 5 A fifth flowchart of the cold chain transportation safety management method provided for the embodiment of the present application is provided; Figure 6 A sixth flowchart of the cold chain transportation safety management method provided for the embodiment of the present application is provided; Figure 7 A seventh flowchart of the cold chain transportation safety management method provided for the embodiment of the present application is provided; Figure 8 A structure schematic diagram of the cold chain transportation safety management device provided for the embodiment of the present application is provided; Figure 9 A structure schematic diagram of the cold chain transportation safety management device provided for the embodiment of the present application is provided. DETAILED DESCRIPTION

[0017] The present application provides a cold chain transportation safety management method, system, device and storage medium, which first initializes the detection device to generate initial log data, providing a basis for subsequent monitoring and management; then a baseline model is constructed based on the collected background radiation data, and the influence of natural environmental factors on the monitoring results is corrected; on this basis, multi-source parameters in the transportation process are collected and fused to generate real-time monitoring data; then the real-time monitoring data is abnormally identified, the potential risks are located, and targeted measures are taken through a hierarchical early warning mechanism; finally, the initial log data is updated based on the early warning event record and a transportation status report is generated, realizing the whole-process traceable management of the transportation process; the present application realizes the efficient management and control of the whole process of cold chain transportation through systematic monitoring and early warning of the whole process of cold chain transportation, significantly improving the safety and reliability of cold chain transportation.

[0018] The terms "first", "second", "third", "fourth" and the like in the description and claims of the present application, and above drawings (if there are) are used to distinguish similar objects, and do not necessarily have to be used to describe a particular order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" or "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0019] For ease of understanding, the specific process of the embodiments of the present application is described below. Please refer to Figure 1 One embodiment of the cold chain transportation safety management method in the embodiments of the present application includes: 101, based on the obtained detection task, the detection equipment is initialized to obtain initial log data; In this embodiment, the radioactive safety threshold and the environmental parameter range are set according to the detection task requirements, the equipment calibration is completed and its effectiveness is verified; then the trial operation mode is started, and the basic information of the transportation task (such as the starting point, the ending point, the expected time, etc.) is recorded to generate initial log data.

[0020] 102, collect background radiation data, and construct a baseline model according to the background radiation data; In this embodiment, the natural radiation level data of the transportation starting point and the surrounding area is collected first, and then a dynamic baseline model reflecting the trend of natural background radiation change is generated based on statistical methods (such as moving average method or Kalman filter).

[0021] 103, based on the baseline model, multi-source data is collected, and the collected data is fused to obtain real-time monitoring data; In this embodiment, the radioactive data of the transported object is collected by the radioactive detection module, and the background radiation interference is removed using the baseline model; at the same time, the multi-source parameters (such as temperature, humidity, etc.) of the transportation environment are collected, all data are integrated through weighted fusion algorithm, and comprehensive real-time monitoring data are generated.

[0022] 104, abnormal identification is performed on the real-time monitoring data to obtain abnormal identification result; In this embodiment, based on the preset rules or machine learning model, the abnormal points in the real-time monitoring data are identified.

[0023] 105, based on the abnormal identification result, the corresponding early warning disposal measures are executed, and the early warning event record is generated according to the early warning disposal measures; In this embodiment, the abnormal identification result is first classified according to the risk level, then the corresponding early warning disposal measures are taken according to the risk level it is in, and the specific disposal process is recorded to generate the early warning event record.

[0024] 106, based on the early warning event record, the initial log data is updated to generate a transportation status report; In this embodiment, the early warning event record is supplemented into the initial log data to generate a transportation status report containing the whole monitoring data and the early warning event processing result.

[0025] In this embodiment of the invention, the detection equipment is first initialized to generate initial log data, providing a foundation for subsequent monitoring and management. Then, a baseline model is constructed based on the collected background radiation data to correct the impact of natural environmental factors on the monitoring results. On this basis, multi-source parameters during transportation are collected and fused to generate real-time monitoring data. Next, anomalies are identified in the real-time monitoring data to locate potential risks, and targeted measures are taken through a graded early warning mechanism. Finally, the initial log data is updated based on the early warning event records, and a transportation status report is generated, realizing full traceability management of the transportation process. This invention achieves efficient control of the entire cold chain transportation process through systematic monitoring and early warning, significantly improving the safety and reliability of cold chain transportation.

[0026] Please see Figure 2 Two embodiments of the cold chain transportation safety management method in this invention include: 201. Generate configuration data based on the acquired detection tasks; In this embodiment, the configuration data is generated through the mapping relationship between task requirements and equipment parameters. This mapping relationship can be achieved through a preset rule table or database. For different types of products, the system will automatically match the corresponding detection parameters and warning standards. For example, if the detection task requires monitoring the radioactivity of Cs-137 nuclide, the corresponding parameters can be set to "radioactivity safety threshold less than 50 Bq / kg, product temperature between -20°C and 4°C, and humidity less than 80%". The mapping relationship between task requirements and equipment parameters can be dynamically adjusted according to different transport objects and routes to adapt to various cold chain transportation inspection scenarios; the generation of configuration data ensures the pertinence and scientific nature of the inspection tasks.

[0027] 202. Initialize the configuration information of the testing equipment using the configuration data, and calibrate the testing equipment to obtain a calibration report; In this embodiment, the detection equipment is initialized using configuration data and calibration is performed to ensure its accuracy. The calibration report records the calibration results and error analysis, providing a reliable basis for subsequent monitoring. Specifically, the initialization process includes loading configuration data into the detection device and setting its working mode and parameter range; for example, for a radioactive detection module, it is necessary to set the detection frequency (e.g., once per minute), detection range (e.g., 0-1000 Bq / kg), and alarm threshold. The calibration process calibrates the device by using a standard sample; a standard radioactive source (such as a Cs-137 standard source with an activity of 100 Bq) is used to correct the sensitivity of the radioactivity detection module, and the accuracy of other sensors (such as temperature and humidity sensors) is verified; after calibration, a calibration report is generated based on the calibration results (i.e., the detection error of each device), which serves as a reference for subsequent data analysis and as a basis for data traceability.

[0028] 203, verifying the validity of the calibration report, if valid, running the detection device to generate initial log data; In this embodiment, by verifying the validity of the calibration report, it is ensured that the device meets the requirements of the detection task before entering the trial running stage to generate initial log data. The initial log data not only records the basic information of the task, but also provides a basis for subsequent anomaly identification and status reporting; Verifying the validity of the calibration report includes checking the following: whether the calibration error is within the allowed range (whether the detection error is less than the threshold), whether the calibration coefficient of the device is reasonable (such as whether the gain and offset meet the device specifications); If the calibration report is valid, start the detection device trial run. During the trial run, the device collects a small amount of data according to the parameters in the configuration data and generates initial log data; the initial log data at least includes: task starting point, task ending point, task estimated time, initial detection value and timestamp; The initial log data records the basic information of the task in detail, providing a benchmark value for subsequent real-time monitoring data, which facilitates comparison during anomaly identification; and the device trial run serves as a pre-check before the formal operation of the device, so that if an anomaly is found during the trial run, it can be adjusted in time to avoid problems during the formal operation.

[0029] Please refer to Figure 3 The three embodiments of the cold chain transportation safety management method in the embodiments of the present application include: 301, collecting the natural radiation level of the surrounding transportation environment to obtain background radiation data; In this embodiment, the natural radiation level of the surrounding transportation environment is first collected by a high-sensitivity radiation detection device to generate background radiation data; the natural radiation level is affected by geographical location, geological conditions, atmospheric factors, etc., and has dynamic change characteristics, therefore, the collection range of the background radiation data should cover the transportation starting point and its surrounding area (such as a radius of 5 kilometers) to more comprehensively reflect possible influencing factors; specifically, a high-sensitivity radiation detector with a model of RaySafe 452 can be used to collect background radiation data, the device is placed near the transportation starting point and continuously runs for 30 minutes under non-interference conditions, the sampling frequency is set to 1 Hz, and the results of multiple measurements are summarized to obtain the background radiation data.

[0030] 302. Correct the background radiation data to obtain corrected radiation data; In this embodiment, the collected background radiation data is corrected to eliminate the influence of equipment errors and short-term fluctuations, generating more accurate corrected radiation data. The calibration is based on the equipment's calibration report, which typically includes a calibration coefficient table that records the equipment's gain and offset. The deviation of the background radiation data is adjusted based on these gain and offset values. In addition, statistical methods (such as the moving average method) are used to eliminate short-term fluctuation noise in the background radiation data to further improve the quality. After completing the above correction steps, the corrected radiation data is finally obtained.

[0031] 303. Construct a baseline model based on statistical methods and corrected radiation data; In this embodiment, statistical methods are used to analyze the corrected radiation data to generate a dynamic radioactive baseline model. The baseline model is used to correct background radiation interference in the real-time monitoring data to ensure the accuracy of the detection results. The construction of the baseline model is based on the following statistical methods: first, the mean and standard deviation of the corrected radiation data are calculated; then, time series analysis methods (such as Kalman filtering or moving average) are used to extract the changing trend of background radiation; and finally, combined with the above results, a dynamic baseline model is established to describe the changing pattern of natural radiation levels in the transportation origin and surrounding areas over time and space. By using a baseline model, background radiation and the radioactive signal of the transported object itself can be effectively separated, significantly improving the reliability of the detection results.

[0032] Please see Figure 4 The four embodiments of the cold chain transportation safety management method in this invention include: 401. During cold chain transportation, real-time data collection is conducted on the transported goods and the transportation environment to obtain real-time radioactivity data and real-time environmental data; In this embodiment, the entire cold chain transportation process monitoring requires the equipment to collect radioactivity data of the transported goods and parameter data of the transportation environment at a fixed frequency (e.g., once per minute). The collection frequency needs to be set according to the specific needs of the transportation task to balance data accuracy and system load; radioactivity data collection mainly reflects the changes in the radioactivity level of the transported goods themselves, while environmental data collection includes parameters such as temperature and humidity, used to assess whether the transportation conditions meet the requirements; Specifically, a high-sensitivity radiation detector, model RaySafe 452, can be used to collect the radioactivity value of the transported goods at a frequency of once per minute; a digital temperature sensor, model DS18B20, can be used to collect the temperature data of the transport environment; and a humidity sensor, model DHT22, can be used to collect the humidity data of the transport environment.

[0033] 402、using the baseline model to remove the background radiation interference in the real-time radioactivity data to obtain corrected real-time radioactivity data; In this embodiment, the background radiation component in the real-time radioactivity data is separated out by correcting the real-time radioactivity data through the dynamic radioactivity baseline model, and the radioactivity signal of the transported object itself is retained, so as to exclude the interference of the background radiation and generate more accurate corrected real-time radioactivity data.

[0034] 403、fusing the corrected real-time radioactivity data and real-time environmental data to obtain real-time monitoring data; In this embodiment, the data fusion is completed by using a weighted average method or a machine learning method, and weights are allocated according to the importance of different data sources; the radioactivity data weight should be higher because it directly reflects the safety of the transported object; and the environmental data weight should be lower because it serves as a reference index to assist in evaluation; Considering the timeliness of cold chain transportation, a time window mechanism needs to be introduced into data fusion, and the real-time radioactivity data and real-time environmental data within a certain time window are classified and fused to smooth short-term fluctuations; Considering the influence of the environment on cold chain transportation, the fusion weight can be dynamically adjusted according to the characteristics of the transportation environment, for example, the sensitivity of the radioactivity sensor decreases in a low-temperature environment, which causes the authenticity to decrease, at this time, the weight needs to be reduced, and more weight needs to be placed on the influence of environmental factors on transportation; Through data fusion, the organic combination of multi-source information is realized, and a more comprehensive transportation state description is provided for the subsequent abnormality identification step.

[0035] Please refer to Figure 5 The five embodiments of the cold chain transportation safety management method in the embodiment of the application include: 501、cleaning the real-time monitoring data to obtain cleaned data; In this embodiment, the noise and abnormal values in the real-time monitoring data are removed through data cleaning technology, and possible abnormal data is retained to avoid false screening; specifically, first, the real-time detection data is subjected to abnormal value detection and marking, and the data points exceeding the normal range are identified by using an upper and lower threshold method or a box plot method, and are marked; then, the interpolation method is used to fill in the missing values of the real-time detection data to ensure data continuity; then, a smoothing filter is used to reduce the fluctuation noise of the data; finally, the cleaned data and the marked abnormal values are obtained, and the two are combined as the cleaned data; Data cleaning significantly improves the quality of real-time monitoring data and eliminates the interference of noise and missing values; and the marked abnormal values provide an additional input source for subsequent abnormality identification, ensuring that there is no omission.

[0036] 502、based on the preset rule, the cleaning data is abnormally identified to obtain a preliminary identification result; In this embodiment, the cleaning data is abnormally identified by the preset rule to generate a preliminary identification result; the preliminary identification result can quickly locate potential risk points and provide a basis for subsequent screening; specifically: First, based on the preset radioactive safety threshold change rate rule, it is judged whether there is an abnormality, for example, if the radioactivity level exceeds the safety threshold, it is marked as abnormal; if the radioactivity level changes dramatically in a short time, it is also marked as abnormal; Second, combined with environmental data such as temperature and humidity, it is evaluated whether the deviation of the radioactivity detection result is caused by environmental changes; under low temperature conditions, the sensitivity of the sensor may be reduced, resulting in a low detection result; and under high humidity conditions, the sensor may have signal interference, resulting in fluctuation of the detection result; according to the characteristics of the equipment, a relationship model between temperature, humidity and radioactivity detection error is established; the detection error is calculated according to the current environmental parameters, and is included in the abnormality judgment logic; for example, if the low temperature causes the detection value to be low, the lower limit threshold of the abnormality judgment is appropriately relaxed; if the high humidity causes the fluctuation to increase, the tolerance range of the change rate is increased; In addition, it is also necessary to analyze the correlation between the radioactivity data and the environmental data through data fusion results to judge whether the abnormality is caused by real pollution; if the change of the radioactivity level is highly correlated with the change of the environmental parameters (such as temperature drop accompanied by radioactivity level rise), it may be a false abnormality caused by environmental mutation, and if the change of the radioactivity level is not related to the environmental parameters, it may be a real abnormality.

[0037] 503、obtain historical identification results, and screen the historical identification results from the preliminary identification results to obtain abnormal identification results; In this embodiment, the historical identification results include the abnormal patterns and normal patterns confirmed in the past transportation tasks, which are used to verify the rationality of the preliminary identification results; the screening includes the following steps: Compare the preliminary identification results with the abnormal patterns in the historical identification results, if the similarity reaches a preset threshold, mark it as a real abnormality; compare the preliminary identification results with the normal patterns in the historical identification results, if the similarity reaches a preset threshold, mark it as a false abnormality and exclude the identification result; if the preliminary identification result does not match any historical identification result, mark it as a new abnormality and record and save it for subsequent analysis and model updating; the preliminary identification results marked as real abnormality and new abnormality are summarized, that is, the abnormal identification results are obtained.

[0038] Please refer to Figure 6 The six embodiments of the cold chain transportation safety management method in the embodiment of the application include: 601、based on the preset safety threshold, the abnormal identification result is judged for risk level to obtain a risk judgment result; In this embodiment, according to the preset safety threshold, the abnormal identification result is divided into different risk levels (low risk, medium risk, high risk), and a clear risk judgment result is generated; the risk level division is based on the exceeding degree of radioactivity, and the specific method is as follows: The radioactivity level is close to the safety threshold but does not exceed the safety threshold (such as 80%-100% exceeding the safety threshold), and is determined as low risk; the radioactivity level exceeds the safety threshold but does not reach the dangerous level (such as 100%-150% exceeding the safety threshold), and is determined as medium risk; the radioactivity level far exceeds the safety threshold, and there may be serious pollution (such as more than 150% exceeding the safety threshold), and is determined as high risk; The risk level judgment provides a clear basis for subsequent early warning disposal, and ensures that corresponding measures can be taken for different risks.

[0039] 602、based on the risk judgment result, corresponding early warning disposal measures are executed to obtain a disposal result; In this embodiment, different early warning disposal measures are executed according to the risk judgment result, and specific disposal results are recorded; If the risk judgment result is low risk, the driver is notified to pay attention to the inspection of the cargo state, the abnormal data is recorded and the monitoring is continued; If the risk judgment result is medium risk, the sound and light alarm is triggered, the driver is prompted to suspend transportation and perform on-site verification; at the same time, alarm information is sent to the supervision platform; If the risk judgment result is high risk, the sound and light alarm is immediately triggered, and the transportation is forced to be suspended; the emergency alarm information is sent to the supervision platform, and measures such as isolation or destruction of the goods are taken; The disposal result includes disposal time, disposal place and specific early warning disposal measures; In this embodiment, differentiated disposal measures are taken for different risk levels, which ensures that potential risks can be found in time and transportation efficiency is not affected by excessive intervention; and detailed disposal result records provide an important basis for subsequent analysis and improvement.

[0040] 603、generating an early warning event record according to the disposal result; In this embodiment, an early warning event record is generated according to the disposal result, which comprehensively reflects the abnormal conditions and their processing results occurring in the transportation process, and provides detailed data support for subsequent analysis and improvement; the early warning event record is used in cooperation with the initial log data for subsequent use, to realize whole-process traceable management of the transportation process; The early warning event record at least contains the following key information: event type, occurrence time, location information, disposal measures, disposal result, and final state after disposal.

[0041] Referring to Figure 7 The seven embodiments of the cold chain transportation safety management method in the embodiments of the present application include: 701, updating the initial log data based on the early warning event record to obtain updated log data; In this embodiment, the key information such as occurrence time, location, event type and disposal result in the early warning event record is supplemented into the initial log data to obtain updated log data; the updated log data not only contains the basic information of the transportation task, but also records in detail the occurrence time, location, type and processing result of the early warning event, providing comprehensive data support for subsequent analysis.

[0042] 702, obtaining a transportation trajectory route of the cold chain transportation; In this embodiment, the position information of the transportation vehicle is continuously recorded through the detection device or the positioning module on the cold chain transportation vehicle, and then the collected position information is connected in chronological order to generate a complete transportation trajectory map; then, in combination with the early warning event record, the occurrence position of the abnormal event is marked on the transportation trajectory map, and a complete transportation trajectory route is obtained; the transportation trajectory route directly shows the transportation path and the distribution of abnormal points, facilitating the regulatory department to quickly locate the problem area and providing spatial dimension support for subsequent analysis.

[0043] 703, analyzing the safety of the transportation process in combination with the transportation trajectory route and the updated log data to obtain a transportation status report; In this embodiment, the safety of the transportation process is comprehensively analyzed by integrating the transportation trajectory route and the updated log data, and a final transportation status report is generated; The analysis process includes the following steps: first, match the abnormal points on the transportation trajectory map with the early warning event record in the updated log data in terms of time stamp and position information to ensure accurate correspondence; then, compare the transportation trajectory route with the predetermined path to determine whether there is deviation or detour; then, in combination with the early warning event record in the updated log data, evaluate the influence range and severity of the abnormal points; and according to the position information on the transportation trajectory route, review the changes of environmental parameters such as temperature and humidity along the way to analyze the potential impact on the safety of the transported goods; finally, based on the above analysis results, evaluate the overall safety of the transportation process, and the final transportation status report; The transportation status report comprehensively reflects all the key information in the transportation process, including path deviation, abnormal point distribution and environmental condition change, thereby realizing the whole-process traceable management of the cold chain transportation.

[0044] The above describes the cold chain transportation safety management method in the embodiments of the present application, and the following describes the cold chain transportation safety management device in the embodiments of the present application, please refer to Figure 8An embodiment of the cold chain transportation safety management device in the present application comprises: The initialization module 801 is configured to perform device initialization on the detection equipment based on the obtained detection task, to obtain initial log data. The baseline construction module 802 is configured to collect background radiation data and construct a baseline model according to the background radiation data. The data acquisition module 803 is configured to perform multi-source data acquisition based on the baseline model and fuse the collected data, to obtain real-time monitoring data. The anomaly identification module 804 is configured to perform anomaly identification on the real-time monitoring data, to obtain an anomaly identification result. The early warning and disposal module 805 is configured to perform corresponding early warning and disposal measures based on the anomaly identification result and generate an early warning event record according to the early warning and disposal measures. The generation module 806 is configured to update the initial log data based on the early warning event record, to generate a transportation state report. In the present embodiment, the initialization module 801 is used to initialize the detection equipment, to generate initial log data, providing a basis for subsequent monitoring and management; then the baseline construction module 802 constructs a baseline model based on the collected background radiation data, to correct the influence of natural environmental factors on the monitoring result; on this basis, the data acquisition module 803 acquires and fuses multi-source parameters in the transportation process, to generate real-time monitoring data; the anomaly identification module 804 is used to perform anomaly identification on the real-time monitoring data, to locate potential risks, and the early warning and disposal module 805 is used to take targeted early warning and disposal measures; finally, the generation module 806 updates the initial log data based on the early warning event record and generates a transportation state report, to realize whole-process traceable management of the transportation process; the present application realizes efficient management and control of the whole process of cold chain transportation through systematic monitoring and early warning of the whole process of cold chain transportation, significantly improving the safety and reliability of cold chain transportation.

[0045] Figure 9is a structural schematic view of a cold chain transportation safety management device provided by an embodiment of the present application. The cold chain transportation safety management device 900 can have great differences due to different configurations or performances, and can include one or more central processing units (CPUs) 910 (for example, one or more processors) and a memory 920, one or more storage media 930 (for example, one or more mass storage devices) storing application programs 933 or data 932. The memory 920 and the storage media 930 can be temporary storage or persistent storage. The programs stored in the storage media 930 can include one or more modules (not shown in the figure), and each module can include a series of instruction operations in the cold chain transportation safety management device 900. Further, the processor 910 can be configured to communicate with the storage media 930 and execute the series of instruction operations in the storage media 930 on the cold chain transportation safety management device 900 to implement the steps of the cold chain transportation safety management method provided by the above-mentioned method embodiments.

[0046] The cold chain transportation safety management device 900 can also include one or more power supplies 940, one or more wired or wireless network interfaces 950, one or more input / output interfaces 960, and / or one or more operating systems 931, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art can understand that the cold chain transportation safety management device 900 can further include other components that are not shown in the figure, such as a bus, an input / output controller, a memory controller, etc. Figure 9 The cold chain transportation safety management device structure shown does not constitute a limitation on the cold chain transportation safety management device, and can include more or fewer components than shown, or combine certain components, or different component arrangements.

[0047] The present application also provides a computer readable storage medium, which can be a non-volatile computer readable storage medium or a volatile computer readable storage medium. The computer readable storage medium stores instructions, and when the instructions are run on a computer, the computer executes the steps of the cold chain transportation safety management method.

[0048] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system or device, unit can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0049] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or say the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0050] Finally, it should be noted that: the above only for the preferred examples of the present application, and not for limiting the present application, although the present application is described in detail with reference to the foregoing embodiments, for those skilled in the art, it still can modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A cold chain transportation security management method, characterized in that, The method comprises the following steps: device initialization of the detection equipment based on the acquired detection task to obtain initial log data; collection of background radiation data and construction of a baseline model based on the background radiation data; multi-source data collection based on the baseline model and fusion of the collected data to obtain real-time monitoring data; abnormality identification of the real-time monitoring data to obtain abnormality identification results; execution of corresponding early warning and disposal measures based on the abnormality identification results and generation of early warning event records based on the early warning and disposal measures; updating of the initial log data based on the early warning event records to generate a transportation status report.

2. The cold chain transport security management method of claim 1, wherein, The device initialization of the detection equipment based on the acquired detection task to obtain initial log data comprises the following steps: generation of configuration data based on the acquired detection task; initialization of configuration information of the detection equipment by using the configuration data and calibration of the detection equipment to obtain a calibration report; verification of the validity of the calibration report, and if valid, trial operation of the detection equipment to generate initial log data.

3. The cold chain transport security management method of claim 1, wherein, The collection of background radiation data and the construction of a baseline model based on the background radiation data comprise the following steps: collection of natural radiation levels in the surrounding environment of the transportation environment to obtain background radiation data; correction of the background radiation data to obtain corrected radiation data; construction of a baseline model based on statistical methods and the corrected radiation data.

4. The cold chain transport security management method of claim 1, wherein, The multi-source data collection based on the baseline model and the fusion of the collected data to obtain real-time monitoring data comprise the following steps: real-time data collection of the transported objects and the transportation environment during the cold chain transportation to obtain real-time radioactivity data and real-time environmental data; removal of background radiation interference in the real-time radioactivity data by using the baseline model to obtain corrected real-time radioactivity data; data fusion of the corrected real-time radioactivity data and the real-time environmental data to obtain real-time monitoring data.

5. The cold chain transport security management method of claim 1, wherein, The abnormality identification of the real-time monitoring data to obtain abnormality identification results comprises the following steps: data cleaning of the real-time monitoring data to obtain cleaned data; abnormality identification of the cleaned data based on preset rules to obtain preliminary identification results; acquisition of historical identification results and screening of the historical identification results on the preliminary identification results to obtain abnormality identification results.

6. The cold chain transport security management method of claim 1, wherein, The execution of corresponding early warning and disposal measures based on the abnormality identification results and the generation of early warning event records based on the early warning and disposal measures comprise the following steps: risk level judgment of the abnormality identification results based on a preset safety threshold to obtain a risk judgment result; execution of corresponding early warning and disposal measures based on the risk judgment result to obtain a disposal result; generation of early warning event records based on the disposal result.

7. The cold chain transport security management method of claim 1, wherein, The updating of the initial log data based on the early warning event records to generate a transportation status report comprises the following steps: data updating of the initial log data based on the early warning event records to obtain updated log data; acquisition of a transportation trajectory route of the cold chain transportation; analysis of the safety of the transportation process in combination with the transportation trajectory route and the updated log data to obtain a transportation status report.

8. A cold chain transportation security management device, characterized in that, The method comprises the following steps: an initialization module for device initialization of detection equipment based on an acquired detection task to obtain initial log data; A baseline construction module is configured to collect background radiation data and construct a baseline model according to the background radiation data; A data collection module is configured to collect multi-source data based on the baseline model, and fuse the collected data to obtain real-time monitoring data; An anomaly identification module is configured to identify anomalies in the real-time monitoring data to obtain an anomaly identification result; An early warning and disposal module is configured to execute corresponding early warning and disposal measures based on the anomaly identification result, and generate an early warning event record according to the early warning and disposal measures; A generation module is configured to update initial log data based on the early warning event record to generate a transportation status report.

9. A cold chain transportation security management device, characterized by, The cold chain transportation safety management device includes a memory and at least one processor, and the memory stores instructions; At least one processor calls the instructions in the memory to enable the cold chain transportation safety management device to perform the steps of the cold chain transportation safety management method of any one of claims 1-7.

10. A computer-readable storage medium having stored thereon instructions, the instructions comprising, The instructions are executed by the processor to implement the steps of the cold chain transportation safety management method of any one of claims 1-7.

Images