Customs intelligent specimen cabinet monitoring system

Abstract

The invention discloses a customs intelligent specimen cabinet monitoring system, relates to the technical field of specimen cabinet monitoring, and aims to solve the problems that the monitoring strength of an existing specimen cabinet is reduced, and abnormality checking cannot be carried out in time. According to the invention, the most suitable transmission channel is flexibly selected through different transmission requirements and environmental conditions, the adaptability and flexibility of the system are enhanced, the feature extraction of the environmental monitoring data covers the monitoring parameters of each sensor, and the comprehensive monitoring of environmental factors is ensured. The monitoring of real-time video data provides intuitive visual information, so that workers can intuitively know the real-time condition in the specimen cabinet, manual intervention is reduced through automatic detection, recognition and alarming, the automation and intelligence level of the monitoring system is improved, and the monitoring efficiency is improved through automatic data classification, visual display and anomaly analysis. And the intelligent level of the customs intelligent specimen cabinet monitoring system is improved.

Description

Technical Field

[0001] The invention relates to the technical field of specimen cabinet monitoring, in particular to a customs intelligent specimen cabinet monitoring system. Background Art

[0002] Specimen cabinet monitoring usually refers to the supervision and management of cabinets that store biological specimens to ensure the safety and effective storage of specimens and compliance with prescribed storage conditions.

[0003] The patent application with announcement number CN221804535U discloses a monitoring device for a switch cabinet and a switch cabinet, which is mainly connected to the input end of the measured signal of the second analog-to-digital conversion circuit through an input circuit, and the output end of the second analog-to-digital conversion circuit is connected to the micro-control unit circuit. The micro-control unit circuit is used to simultaneously collect signals from the first digital-to-analog conversion circuit and the second analog-to-digital conversion circuit. The second analog-to-digital conversion circuit, which is separately arranged, communicates with the micro-control unit circuit through SPI. It has good communication effect, strong anti-interference ability, low cost, and a high-precision analog-to-digital conversion circuit, which makes the analysis result of the micro-control unit circuit more accurate. The chip where the second analog-to-digital conversion circuit is located is different from the chip where the first analog-to-digital conversion circuit is located. Such a configuration can reduce costs. Although the above patent solves the problem of cabinet monitoring, the following problems still exist in actual operation: 1. There is no secure identity authentication and no targeted labeling of stored specimens, which reduces the security of the system.

[0004] 2. There is no more comprehensive monitoring of the specimen cabinet, and no faster transmission and data analysis of the monitoring data, which leads to the inability to make timely abnormal judgments.

[0005] 3. There is no effective data analysis and abnormality level judgment on the monitoring data of the specimen cabinet, which results in the inability to perform more accurate alarm processing based on the degree of abnormality. Summary of the invention

[0006] The purpose of the present invention is to provide a customs intelligent specimen cabinet monitoring system, which can flexibly select the most suitable transmission channel through different transmission requirements and environmental conditions, enhance the adaptability and flexibility of the system, and the feature extraction of environmental monitoring data covers the monitoring parameters of various sensors, ensuring comprehensive monitoring of environmental factors. The monitoring of real-time video data provides intuitive visual information, which helps the staff to intuitively understand the real-time status in the specimen cabinet, and reduces manual intervention through automatic detection, identification and alarm, improves the automation and intelligence level of the monitoring system, and improves the intelligence level of the customs intelligent specimen cabinet monitoring system through automated data classification, visual display and abnormal analysis, which can solve the problems in the prior art.

[0007] To achieve the above object, the present invention provides the following technical solutions: Customs intelligent specimen cabinet monitoring system, including: User authentication unit, used to: Before logging into the specimen cabinet monitoring system, the staff must first perform identity verification and authority verification, and only after passing the verification can the user access and operate; Specimen storage management unit, used for: The qualified staff will enter the specimen information of the specimen to be stored, and obtain the target specimen information after the entry is completed; Specimen safety monitoring unit, used for: Perform security monitoring on the specimen cabinet corresponding to the target specimen information, and mark the security monitoring data as target monitoring data; Monitoring data transmission and analysis unit for: The target monitoring data is transmitted to the central database for data analysis, and the monitoring data to be processed is obtained after the data analysis is completed; Monitoring data early warning unit, used for: Perform an abnormal analysis on the monitoring data to be processed, and perform alarm linkage based on the abnormal analysis results, and mark the abnormal analysis data and alarm linkage data as standard monitoring data; Data management report generation unit for: The standard monitoring data is converted into visual data, and after the visual data conversion is completed, it is transmitted to the display terminal of the specimen cabinet monitoring system for data display.

[0008] Preferably, the specimen safety monitoring unit is also used for: Security monitoring includes video monitoring and environmental monitoring; Video monitoring is to use the camera installed in the specimen cabinet to conduct real-time video monitoring inside the specimen cabinet. The camera has night vision, 360-degree rotation and high-definition recording functions; When the camera device performs real-time video monitoring inside the cabinet, the real-time video data is transmitted to the central database via a wired network or a wireless network; At the same time, the camera device records the real-time video inside the cabinet and stores the real-time video data in the local memory of the camera device; When the camera device performs real-time video monitoring inside the cabinet, the real-time video data is transmitted to the central database using a wired network or a wireless network, including: When the camera device performs real-time video monitoring inside the cabinet, the video data is segmented according to a preset unit time length to obtain multiple video clips; and the value range of the unit time length is 1min-5min; Packing the video clips to generate data packets corresponding to each video clip; Detecting the data transmission rate corresponding to the current wired network and the data transmission rate corresponding to the wireless network; When the difference between the data transmission rate corresponding to the wired network and the data transmission rate corresponding to the wireless network is greater than a preset rate difference, a network form with a larger data transmission rate between the wired network and the wireless network is selected to send multiple data packets corresponding to the real-time video data to the central database; When the difference between the data transmission rate corresponding to the wired network and the data transmission rate corresponding to the wireless network is not greater than a preset rate difference, the data transmission rates corresponding to the network operation unit time of the wired network and the wireless network are respectively retrieved, and the network operation unit time is 1s; Obtaining a data transmission rate coefficient using the data transmission rates corresponding to the network operation unit time of the wired network and the wireless network; The data transmission rate coefficient is obtained by the following formula: Where Y represents the data transmission rate coefficient; n represents the number of network operation unit time experienced by the wireless network and wired network operation; B wi represents the data transmission rate of the wireless network corresponding to the i-th network operation unit time; B yi represents the data transmission rate of the wired network corresponding to the i-th network operation unit time; B wb Indicates the standard deviation of the data transmission rate of the wireless network corresponding to n unit time; B yb represents the standard deviation of the data transmission rate of the wired network corresponding to n unit time; K represents the adjustment coefficient, and the adjustment coefficient is obtained by the following formula: Where K represents the adjustment coefficient; n represents the number of network operation unit time experienced by the wireless network and wired network operation; B wi represents the data transmission rate of the wireless network corresponding to the i-th network operation unit time; B yi represents the data transmission rate of the wired network corresponding to the i-th network operation unit time; B wb Indicates the standard deviation of the data transmission rate of the wireless network corresponding to n unit time; B yb Represents the standard deviation of the data transmission rate of the wired network corresponding to n unit time; comparing the data transmission rate coefficient with a preset data transmission rate coefficient threshold; When the data transmission rate coefficient exceeds a preset data transmission rate coefficient threshold, a plurality of data packets corresponding to the real-time video data are sent to a central database using a wired network; When the data transmission rate coefficient does not exceed the preset data transmission rate coefficient threshold, the network operation status of the wired network and the wireless network is determined, and the network form of transmitting the real-time video data to the central database is determined according to the determination result.

[0009] Preferably, the user identity verification unit is further used for: When the staff logs into the specimen cabinet monitoring system, they enter the pre-registered user name and password for login verification; After the login verification is passed, biometric identification is performed, which includes fingerprint recognition, facial recognition and iris scanning; The identity verification process is completed after the biometrics are completed and qualified; After identity authentication is completed, different access rights are assigned according to the staff's identity role. After access rights are assigned, the access rights are dynamically adjusted according to the staff's position attributes and operating environment. After the dynamic adjustment is completed and qualified, the authority verification process is completed; After the identity verification process and the permission verification process are both verified, the staff logs into the specimen cabinet monitoring system for user access and operation.

[0010] Preferably, the specimen storage management unit is also used for: The staff will receive the specimens to be stored and enter the specimen information after receiving them; Specimen information includes specimen name, number, type, source, receipt date, and storage conditions; Use electronic forms to enter specimen information of specimens to be stored; After the specimen information is entered, each piece of information is processed into image and document data, and the specimen graphic and text information is obtained after the generation; Performing data fusion on specimen graphic information and specimen information to obtain standard fusion information; Submit the standard fusion information to the review terminal for specimen review; After the specimen is reviewed and approved, it is stored in the specimen cabinet. After the specimen is stored in the specimen cabinet, the location data of the specimen in the storage cabinet is obtained; Uniquely encode and label the location data in the storage cabinet and the specimen data that have passed the specimen review; After the data is uniquely coded and labeled, the target sample information is obtained.

[0011] Preferably, the specimen safety monitoring unit is also used for: Confirm the specimen cabinet corresponding to the target specimen information. After the specimen cabinet is confirmed, perform video monitoring and environmental monitoring on the standard cabinet; Environmental monitoring is to use the temperature sensor, humidity sensor, vibration sensor and air quality sensor installed in the specimen cabinet to monitor the environmental parameters inside the specimen cabinet; In addition, the performance of temperature sensors, humidity sensors, vibration sensors and air quality sensors shall be tested regularly, and sensors that fail the performance test shall be repaired or replaced; The environmental monitoring data of the temperature sensor, humidity sensor, vibration sensor and air quality sensor are transmitted to the central database using a wired network or a wireless network.

[0012] Preferably, when the data transmission rate coefficient does not exceed the preset data transmission rate coefficient threshold, the network operation status of the wired network and the wireless network is determined, and the network form of transmitting the real-time video data to the central database is determined according to the determination result, including: When the data transmission rate coefficient does not exceed a preset data transmission rate coefficient threshold, retrieving the bandwidth utilization rate and data transmission rate change rate of the wired network and the wireless network; Obtaining a wired network operation evaluation coefficient using the bandwidth utilization rate and data transmission rate change rate of the wired network; The wired network operation evaluation coefficient is obtained by the following formula: Among them, S y represents the wired network operation evaluation coefficient; n represents the number of network operation unit time experienced by the wireless network and wired network operation; P ki represents the bandwidth utilization rate corresponding to the i-th network operation unit time; P vi P represents the rate of change of data transmission rate corresponding to the i-th network operation unit time; kmax Indicates the maximum bandwidth utilization corresponding to n network operation unit time; P vmax P represents the maximum value of the data transmission rate change rate corresponding to n network operation unit time; kb represents the standard deviation of bandwidth utilization corresponding to n network operation unit time; P vb represents the standard deviation of the data transmission rate change rate corresponding to n network operation unit time; C yp It represents the average data volume of the data packets that complete the data transmission in the wired network; K represents the adjustment coefficient; Obtaining a wireless network operation evaluation coefficient using the bandwidth utilization rate, data transmission rate change rate and signal interference strength of the wireless network; The wireless network operation evaluation coefficient is obtained by the following formula: Among them, S wrepresents the wireless network operation evaluation coefficient; n represents the number of network operation unit time experienced by the wireless network and wired network operation; Z ki represents the bandwidth utilization rate corresponding to the i-th network operation unit time of the wireless network operation; Z vi Z represents the data transmission rate change rate corresponding to the i-th network operation unit time of the wireless network operation; kmax Indicates the maximum bandwidth utilization corresponding to n network operation unit time; Z vmax Indicates the maximum value of the data transmission rate change rate corresponding to n network operation unit time of the wireless network operation; Z kb Z represents the standard deviation of bandwidth utilization corresponding to n network operation unit time of wireless network operation; vb Indicates the standard deviation of the data transmission rate change rate corresponding to n network operation unit time of the wireless network operation; C wp It represents the average data volume of the data packets transmitted by the wireless network; K represents the adjustment coefficient; Q i represents the signal interference intensity corresponding to the i-th network operation unit time of the wireless network operation; Q c Indicates the preset reference value of wireless network signal interference strength; Comparing the wired network operation evaluation coefficient with the wireless network operation evaluation coefficient; A network form corresponding to a lower value of a wired network operation evaluation coefficient and a wireless network operation evaluation coefficient is selected to send multiple data packets corresponding to the real-time video data to a central database.

[0013] Preferably, the monitoring data transmission and analysis unit is further used for: When environmental monitoring data and real-time video data are transmitted to the central database, the transmission channel is automatically selected; Firstly, the environmental monitoring data and the real-time video data are compressed, and the data transmission volume of the compressed data is confirmed; Monitor the remaining capacity and signal strength of each transmission channel in real time; The transmission channel whose data transmission volume is less than the remaining capacity of the channel is used as the first transmission channel for transmitting environmental monitoring data and real-time video data to the central database; When there are more than one first transmission channel, the channel with the strongest signal strength among the multiple transmission channels is selected as the second transmission channel for transmitting environmental monitoring data and real-time video data to the central database; The environmental monitoring data and the real-time video data are transmitted to the central database using the first transmission channel or the second transmission channel.

[0014] Preferably, the monitoring data transmission and analysis unit is further used for: The central database receives environmental monitoring data and real-time video data, and performs data analysis after data reception is completed; Before data analysis, the received data is preprocessed; After the data preprocessing is completed, the received data will be subjected to data feature extraction respectively; Data feature extraction includes feature data in real-time video data and feature data in environmental monitoring data; The feature data in the real-time video data uses computer vision technology to extract the image features related to the specimen in the video image. The image features related to the specimen include the shape, color and its changes of the key objects. After the image feature extraction is completed, the video feature data is obtained; The characteristic data in the environmental monitoring data is to extract the monitoring data parameters of each sensor according to the sensor type, and obtain the environmental characteristic data after the parameter extraction is completed; The environmental feature data and video feature data are uniformly marked as monitoring data to be processed.

[0015] Preferably, the monitoring data early warning unit is also used for: The video feature data in the monitoring data to be processed is used to detect abnormal fluctuation images using computer vision technology, and the detected abnormal fluctuations are subjected to risk identification. After the risk identification is completed, the abnormal images in the video feature data and the risk level of the abnormal images are obtained; Compare each parameter data in the environmental characteristic data with the standard environmental parameter data, wherein the standard environmental parameter data is retrieved from the database; According to the parameter comparison results, the abnormal parameters to be compared are confirmed, and the abnormal thresholds of the abnormal parameters are calculated by difference, and risk identification is performed according to the abnormal thresholds. After the risk identification is completed, the abnormal parameters in the environmental feature data and the risk levels of the abnormal parameters are obtained; The abnormal images and risk levels of the abnormal images in the video feature data and the abnormal parameters and risk levels of the abnormal parameters in the environmental feature data are divided into alarm intensity levels; The alarm intensity is divided into level one, level two and level three; Alerts of different intensities correspond to the range of risk levels; The corresponding completed alarm intensity, abnormal images and risk levels of abnormal images in the video feature data, and abnormal parameters and risk levels of abnormal parameters in the environmental feature data are uniformly labeled as standard monitoring data.

[0016] Preferably, the data management report generating unit is further used for: Classify the standard monitoring data, and obtain abnormal video data and abnormal environment data after the data classification is completed; Design visualization templates based on abnormal video data and abnormal environment data. The visualization templates include color schemes, icons, and layouts. Map abnormal video data and abnormal environment data to the designed visualization template, and generate charts after the mapping is completed; After the chart is generated, the position, degree of abnormality and type of abnormality corresponding to the abnormal image in the abnormal video data in the specimen cabinet are obtained; the change trend of the abnormal parameters in the abnormal environment data, the position, degree of abnormality, type of abnormality and the corresponding sensor in the specimen cabinet are obtained; The data after the chart is generated is transmitted to the display terminal of the specimen cabinet monitoring system for graphic and text display.

[0017] Compared with the prior art, the present invention has the following beneficial effects: 1. The customs intelligent specimen cabinet monitoring system provided by the present invention submits standard fusion information for specimen review, and can use intelligent algorithms for fast and accurate review, reducing the workload of manual review. After the specimen review is passed, the specimen cabinet storage processing can automatically allocate storage locations, improve storage efficiency, and uniquely encode and label the location data and specimen data in the storage cabinet, ensuring the uniqueness and accuracy of the specimen data.

[0018] 2. The customs intelligent specimen cabinet monitoring system provided by the present invention flexibly selects the most suitable transmission channel according to different transmission requirements and environmental conditions, thereby enhancing the adaptability and flexibility of the system. The feature extraction of environmental monitoring data covers the monitoring parameters of each sensor, ensuring comprehensive monitoring of environmental factors. The monitoring of real-time video data provides intuitive visual information, which helps the staff to intuitively understand the real-time status of the specimen cabinet.

[0019] 3. The customs intelligent specimen cabinet monitoring system provided by the present invention has alarm intensities divided into level one, level two and level three alarms, which helps customs personnel take corresponding response measures according to different levels of alarms, improves the efficiency and effectiveness of emergency response, reduces manual intervention through automatic detection, identification and alarm, and improves the automation and intelligence level of the monitoring system. The intelligence level of the customs intelligent specimen cabinet monitoring system is improved through automated data classification, visual display and abnormality analysis. This improvement in the intelligence level helps reduce manual intervention and improve monitoring efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the monitoring unit of the intelligent specimen cabinet of the present invention; Figure 2 It is a schematic diagram of the monitoring process of the intelligent specimen cabinet of the present invention; Figure 3 It is a schematic diagram of the structure of the intelligent specimen cabinet body of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] In order to solve the problem in the prior art that when the staff logs in, they do not perform secure identity authentication and do not specifically mark the stored specimens, which leads to reduced system security, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: Customs intelligent specimen cabinet monitoring system, including: User authentication unit, used to: Before logging into the specimen cabinet monitoring system, the staff must first perform identity verification and authority verification, and only after passing the verification can the user access and operate; Specimen storage management unit, used for: The qualified staff will enter the specimen information of the specimen to be stored, and obtain the target specimen information after the entry is completed; Specimen safety monitoring unit, used for: Perform security monitoring on the specimen cabinet corresponding to the target specimen information, and mark the security monitoring data as target monitoring data; Monitoring data transmission and analysis unit for: The target monitoring data is transmitted to the central database for data analysis, and the monitoring data to be processed is obtained after the data analysis is completed; Monitoring data early warning unit, used for: Perform an abnormal analysis on the monitoring data to be processed, and perform alarm linkage based on the abnormal analysis results, and mark the abnormal analysis data and alarm linkage data as standard monitoring data; Data management report generation unit for: The standard monitoring data is converted into visual data, and after the visual data conversion is completed, it is transmitted to the display terminal of the specimen cabinet monitoring system for data display.

[0023] Specifically, the user identity authentication unit automates the identity authentication and authority verification process, which reduces the need for manual intervention and improves the speed and efficiency of system processing. The specimen storage management unit can use intelligent algorithms to conduct rapid and accurate audits, reducing the workload of manual audits. After the specimens are audited, the specimen cabinet storage process can automatically allocate storage locations to improve storage efficiency. The specimen security monitoring unit combines video surveillance and environmental monitoring to achieve all-round and intelligent management of the specimen cabinet. The combination of real-time video surveillance and environmental monitoring by the monitoring data transmission and analysis unit enables the system to promptly detect and respond to potential threats or abnormal situations, thereby enhancing the security of the system. The intelligent monitoring and alarm system of the monitoring data early warning unit optimizes the management process of customs and improves work efficiency and safety. The precise data analysis and visual display of the data management report generation unit helps to promptly detect and deal with potential faults and safety hazards, thereby enhancing the reliability and stability of the system. Among them, Figure 3 As shown, the customs intelligent specimen cabinet monitoring system includes an intelligent specimen cabinet body 1, on which an operation display 2 is provided. The worker enters a pre-registered user name and password on the operation display 2 for login verification, and the staff uses a specimen classifier 3 to classify the specimen types received for storage; after the specimen type classification is completed, different types of specimens are stored in the classification storage cabinets 4 corresponding to the type, and the specimens are stored in the specific locations in the classification storage cabinets 4 for confirmation. The intelligent specimen cabinet body 1 includes several classification storage cabinets 4.

[0024] User authentication unit, also used for: When the staff logs into the specimen cabinet monitoring system, they enter the pre-registered user name and password for login verification; After the login verification is passed, biometric identification is performed, which includes fingerprint recognition, facial recognition and iris scanning; The identity verification process is completed after the biometrics are completed and qualified; After identity authentication is completed, different access rights are assigned according to the staff's identity role. After access rights are assigned, the access rights are dynamically adjusted according to the staff's position attributes and operating environment. After the dynamic adjustment is completed and qualified, the authority verification process is completed; After the identity verification process and the permission verification process are both verified, the staff logs into the specimen cabinet monitoring system for user access and operation.

[0025] Specifically, preliminary login verification through pre-registered usernames and passwords can block unauthorized access attempts. Further biometrics (fingerprint recognition, facial recognition, and iris scanning) provide a higher level of security, because these biometric features are unique and difficult to replicate. The combined use of multiple biometric technologies can greatly reduce the risk of identity fraud and ensure that only real staff can access the system. Different access rights are assigned according to the identity roles of staff, which not only meets the needs of actual work, but also avoids the risk of information leakage. Dynamic adjustment of access rights based on job attributes and operating environment can ensure that staff have appropriate access rights at the right time and place, thereby further improving the security of the system. Automated identity authentication and permission verification processes reduce the need for manual intervention, thereby improving the speed and efficiency of system processing. Staff can quickly log in to the system and operate, which is particularly important for customs work that requires efficient processing. Systematic permission management and dynamic adjustment mechanisms make it easier for administrators to manage and maintain system access rights. When the roles or responsibilities of staff change, administrators can easily update their access rights without complex manual operations. Strict identity authentication and permission verification processes help ensure that the system meets relevant security standards and regulatory requirements.

[0026] The specimen storage management unit is also used for: The staff will receive the specimens to be stored and enter the specimen information after receiving them; Specimen information includes specimen name, number, type, source, receipt date, and storage conditions; Use electronic forms to enter specimen information of specimens to be stored; After the specimen information is entered, each piece of information is processed into image and document data, and the specimen graphic and text information is obtained after the generation; Performing data fusion on specimen graphic information and specimen information to obtain standard fusion information; Submit the standard fusion information to the review terminal for specimen review; After the specimen is reviewed and approved, it is stored in the specimen cabinet. After the specimen is stored in the specimen cabinet, the location data of the specimen in the storage cabinet is obtained; Uniquely encode and label the location data in the storage cabinet and the specimen data that have passed the specimen review; After the data is uniquely coded and labeled, the target sample information is obtained.

[0027] Specifically, entering specimen information through electronic forms can greatly improve work efficiency and reduce errors that may occur in manual entry. Detailed records of specimen information (such as name, number, type, source, receipt date, and storage conditions) help ensure the accuracy and traceability of specimens, generate graphic information of specimens, and make specimen information more intuitive and easy to understand. The combination of graphic information helps to quickly identify and understand specimens during the review process, improve the review efficiency, and the fusion of specimen graphic information and specimen information forms standard fusion information, which is convenient for subsequent data processing and management. Data standardization helps to ensure the consistency and comparability of data, and provides a basis for subsequent data analysis and application. Submitting standard fusion information for specimen review can use intelligent algorithms for fast and accurate review, reducing the workload of manual review. After the specimen review is passed, the specimen cabinet storage processing can automatically allocate storage locations, improve storage efficiency, and uniquely encode and label the location data and specimen data in the storage cabinet to ensure the uniqueness and accuracy of the specimen data. The unique coding number helps to quickly locate the specimen in subsequent data query, tracking and management. It combines electronic forms, image generation, data fusion, intelligent review and automatic storage to form an efficient and intelligent specimen management system.

[0028] The overall performance of the customs intelligent specimen cabinet monitoring system has been improved, which can better meet the customs' needs for specimen storage and management.

[0029] In order to solve the problem in the prior art that the specimen cabinet is not monitored more comprehensively, and the monitoring data is not transmitted and analyzed more quickly, which leads to the inability to make abnormal judgments in time, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: The specimen safety monitoring unit is also used for: Confirm the specimen cabinet corresponding to the target specimen information. After the specimen cabinet is confirmed, perform video monitoring and environmental monitoring on the standard cabinet; Video monitoring is to use the camera installed in the specimen cabinet to conduct real-time video monitoring inside the specimen cabinet. The camera has night vision, 360-degree rotation and high-definition recording functions; When the camera device performs real-time video monitoring inside the cabinet, the real-time video data is transmitted to the central database via a wired network or a wireless network; At the same time, the camera device records the real-time video inside the cabinet and stores the real-time video data in the local memory of the camera device; Environmental monitoring is to use the temperature sensor, humidity sensor, vibration sensor and air quality sensor installed in the specimen cabinet to monitor the environmental parameters inside the specimen cabinet; In addition, the performance of temperature sensors, humidity sensors, vibration sensors and air quality sensors shall be tested regularly, and sensors that fail the performance test shall be repaired or replaced; The environmental monitoring data of the temperature sensor, humidity sensor, vibration sensor and air quality sensor are transmitted to the central database using a wired network or a wireless network.

[0030] Specifically, through the camera installed in the specimen cabinet, real-time video monitoring of the cabinet can be achieved to ensure the safety and integrity of the specimens. The camera has night vision, 360-degree rotation and high-definition recording functions, providing a full-range, no-dead-angle monitoring screen, further enhancing the monitoring effect. Real-time video data and video data can be synchronously transmitted to the central database and local storage to ensure the reliability and traceability of the data. The use of wired or wireless networks for data transmission improves the efficiency and flexibility of data transmission. No matter where the specimen cabinet is located, as long as the network connection is normal, the central database can receive the monitoring data in real time, realizing remote monitoring and management. The environmental parameters inside the specimen cabinet are monitored in real time through temperature sensors, humidity sensors, vibration sensors and air quality sensors. These sensors can fully reflect the environmental conditions inside the specimen cabinet, ensure that the specimens are stored under appropriate conditions, and regularly test the performance of the sensors to ensure the accuracy and reliability of the sensors. Repairing or replacing sensors with unqualified performance avoids the problem of monitoring failure caused by sensor failure. Combining the two technical means of video monitoring and environmental monitoring, all-round and intelligent management of the specimen cabinet is realized. By uniformly storing and analyzing data in a central database, remote monitoring, early warning, and alarm functions of specimen cabinets can be realized, which improves management efficiency. The application of this solution in the customs intelligent specimen cabinet monitoring system can significantly enhance the customs' supervision of imported and exported specimens. Through real-time monitoring and data analysis, customs can promptly discover and deal with potential safety hazards and ensure the legality and safety of imported and exported specimens.

[0031] Specifically, when the camera device performs real-time video monitoring of the cabinet, the real-time video data is transmitted to the central database using a wired network or a wireless network, including: When the camera device performs real-time video monitoring inside the cabinet, the video data is segmented according to a preset unit time length to obtain multiple video clips; and the value range of the unit time length is 1min-5min; Packing the video clips to generate data packets corresponding to each video clip; Detecting the data transmission rate corresponding to the current wired network and the data transmission rate corresponding to the wireless network; When the difference between the data transmission rate corresponding to the wired network and the data transmission rate corresponding to the wireless network is greater than a preset rate difference, a network form with a larger data transmission rate between the wired network and the wireless network is selected to send multiple data packets corresponding to the real-time video data to the central database; When the difference between the data transmission rate corresponding to the wired network and the data transmission rate corresponding to the wireless network is not greater than a preset rate difference, the data transmission rates corresponding to the network operation unit time of the wired network and the wireless network are respectively retrieved, and the network operation unit time is 1s; Obtaining a data transmission rate coefficient using the data transmission rates corresponding to the network operation unit time of the wired network and the wireless network; The data transmission rate coefficient is obtained by the following formula: Where Y represents the data transmission rate coefficient; n represents the number of network operation unit time experienced by the wireless network and wired network operation; B wi represents the data transmission rate of the wireless network corresponding to the i-th network operation unit time; B yi represents the data transmission rate of the wired network corresponding to the i-th network operation unit time; B wb Indicates the standard deviation of the data transmission rate of the wireless network corresponding to n unit time; B yb represents the standard deviation of the data transmission rate of the wired network corresponding to n unit time; K represents the adjustment coefficient, and the adjustment coefficient is obtained by the following formula: Where K represents the adjustment coefficient; n represents the number of network operation unit time experienced by the wireless network and wired network operation; B wi represents the data transmission rate of the wireless network corresponding to the i-th network operation unit time; B yi represents the data transmission rate of the wired network corresponding to the i-th network operation unit time; B wb Indicates the standard deviation of the data transmission rate of the wireless network corresponding to n unit time; B yb Represents the standard deviation of the data transmission rate of the wired network corresponding to n unit time; comparing the data transmission rate coefficient with a preset data transmission rate coefficient threshold; When the data transmission rate coefficient exceeds a preset data transmission rate coefficient threshold, a plurality of data packets corresponding to the real-time video data are sent to a central database using a wired network; When the data transmission rate coefficient does not exceed the preset data transmission rate coefficient threshold, the network operation status of the wired network and the wireless network is determined, and the network form of transmitting the real-time video data to the central database is determined according to the determination result.

[0032] The technical effect of the above technical solution is: by detecting the data transmission rate of the wired network and the wireless network in real time and comparing the difference between the two, the solution can intelligently select the network form with a faster data transmission rate to send real-time video data. This ensures the rapid transmission of video data, reduces transmission delay, and improves the efficiency of data transmission. When the data transmission rate difference between the wired network and the wireless network is not large, the solution further considers the data transmission rate within the network operation unit time (1s) and introduces the data transmission rate coefficient to evaluate the stability and reliability of the two networks. This dynamic evaluation mechanism enables the solution to make more reasonable choices based on the real-time status of the network, improving the adaptability and stability of the system. By calculating the data transmission rate coefficient and comparing it with the preset threshold, the solution can more accurately determine which network form to use to transmit real-time video data. This strategy not only considers the data transmission speed, but also the stability and reliability of the network, thereby optimizing the overall performance of data transmission. When the data transmission rate coefficient does not exceed the preset threshold, the solution will further determine the network operation status of the wired network and the wireless network. This flexible judgment mechanism enables the solution to make the best choice under different network conditions to ensure the stable transmission of real-time video data. By comprehensively considering multiple factors such as data transmission rate, network operation stability and reliability, the solution can significantly improve the reliability and stability of the system. This helps to ensure the integrity and accuracy of real-time video data, thus meeting the needs of various application scenarios.

[0033] On the other hand, by detecting and comparing the data transmission rates of wired and wireless networks in real time, the solution can quickly and intelligently select a network with a faster data transmission rate to send real-time video data. This efficient selection mechanism ensures the fast transmission of video data, effectively reduces transmission delays, and thus improves the overall efficiency of data transmission. This dynamic evaluation mechanism enables the solution to track changes in network status in real time and make more reasonable choices based on the latest network performance data, thereby enhancing the adaptability and stability of the system. By calculating the data transmission rate coefficient and comparing it with the preset threshold, the solution can accurately determine which network form is more suitable for transmitting real-time video data. This strategy not only considers the data transmission speed, but also comprehensively considers the stability and reliability of the network, thereby optimizing the data transmission strategy and improving the overall performance. When the data transmission rate coefficient does not exceed the preset threshold, the solution can further determine the operating status of the wired network and the wireless network. This flexible judgment mechanism enables the solution to make the best choice under various network conditions, ensuring the stable transmission of real-time video data. Taking into account multiple factors such as data transmission rate, network operation stability and reliability, the solution can significantly improve the overall reliability and stability of the system. This helps to ensure the integrity and accuracy of real-time video data and meet the high requirements for data transmission in various application scenarios.

[0034] Specifically, when the data transmission rate coefficient does not exceed the preset data transmission rate coefficient threshold, the network operation status of the wired network and the wireless network is determined, and the network form of transmitting the real-time video data to the central database is determined according to the determination result, including: When the data transmission rate coefficient does not exceed a preset data transmission rate coefficient threshold, retrieving the bandwidth utilization rate and data transmission rate change rate of the wired network and the wireless network; Obtaining a wired network operation evaluation coefficient using the bandwidth utilization rate and data transmission rate change rate of the wired network; The wired network operation evaluation coefficient is obtained by the following formula: Among them, S y represents the wired network operation evaluation coefficient; n represents the number of network operation unit time experienced by the wireless network and wired network operation; P ki represents the bandwidth utilization rate corresponding to the i-th network operation unit time; P vi P represents the rate of change of data transmission rate corresponding to the i-th network operation unit time; kmax Indicates the maximum bandwidth utilization corresponding to n network operation unit time; P vmax P represents the maximum value of the data transmission rate change rate corresponding to n network operation unit time;kb represents the standard deviation of bandwidth utilization corresponding to n network operation unit time; P vb represents the standard deviation of the data transmission rate change rate corresponding to n network operation unit time; C yp It represents the average data volume of the data packets that complete the data transmission in the wired network; K represents the adjustment coefficient; Obtaining a wireless network operation evaluation coefficient using the bandwidth utilization rate, data transmission rate change rate and signal interference strength of the wireless network; The wireless network operation evaluation coefficient is obtained by the following formula: Among them, S w represents the wireless network operation evaluation coefficient; n represents the number of network operation unit time experienced by the wireless network and wired network operation; Z ki represents the bandwidth utilization rate corresponding to the i-th network operation unit time of the wireless network operation; Z vi Z represents the data transmission rate change rate corresponding to the i-th network operation unit time of the wireless network operation; kmax Indicates the maximum bandwidth utilization corresponding to n network operation unit time; Z vmax Indicates the maximum value of the data transmission rate change rate corresponding to n network operation unit time of the wireless network operation; Z kb Z represents the standard deviation of bandwidth utilization corresponding to n network operation unit time of wireless network operation; vb Indicates the standard deviation of the data transmission rate change rate corresponding to n network operation unit time of the wireless network operation; C wp It represents the average data volume of the data packets transmitted by the wireless network; K represents the adjustment coefficient; Q i represents the signal interference intensity corresponding to the i-th network operation unit time of the wireless network operation; Q c Indicates the preset reference value of wireless network signal interference strength; Comparing the wired network operation evaluation coefficient with the wireless network operation evaluation coefficient; A network form corresponding to a lower value of a wired network operation evaluation coefficient and a wireless network operation evaluation coefficient is selected to send multiple data packets corresponding to the real-time video data to a central database.

[0035] The technical effect of the above technical solution is: the solution not only considers the data transmission rate, but also introduces multiple factors such as bandwidth utilization, data transmission rate change rate and signal interference intensity to comprehensively evaluate the operation status of wired networks and wireless networks. This comprehensive evaluation method can more comprehensively reflect the performance of the network, thereby making a more accurate network selection. By calculating the operation evaluation coefficients of the wired network and the wireless network and comparing the values ​​of the two, the solution can select a network form with a lower operation evaluation coefficient (i.e., better performance) to transmit real-time video data. This helps to reduce interruptions and packet loss during data transmission and improve the stability and reliability of data transmission. The solution uses a network operation unit time (such as 1s) to obtain data such as bandwidth utilization, data transmission rate change rate and signal interference intensity of the network in real time, and calculates the operation evaluation coefficient accordingly. This dynamic evaluation mechanism enables the solution to track changes in network status in real time and make adjustments based on the latest network performance data to adapt to data transmission requirements under different network conditions. By comprehensively evaluating the performance of wired networks and wireless networks, the solution can allocate network resources more reasonably. For example, when the wireless network signal is poor or the bandwidth utilization is high, the solution can choose a wired network to transmit data, thereby avoiding network congestion and performance degradation. This resource optimization strategy helps improve the efficiency and performance of the overall network. The design of this solution has certain flexibility and scalability. With the continuous development of network technology and the emergence of new application scenarios, the parameters and algorithms in the solution can be easily adjusted and optimized to adapt to new network environments and data transmission requirements.

[0036] On the other hand, by comprehensively considering multiple factors such as bandwidth utilization, data transmission rate change rate (for wired networks) and signal interference strength (for wireless networks), the technical solution can more accurately evaluate the real-time status of the network. This comprehensive evaluation method is more comprehensive than a single indicator (such as only considering data transmission rate) and can more accurately reflect the actual performance of the network. According to the operation evaluation coefficients of wired and wireless networks, the solution can intelligently select a network with better performance to transmit real-time video data. This strategy ensures the stability and efficiency of data transmission and reduces data transmission interruptions or delays caused by poor network performance. The technical solution uses the network operation unit time (such as 1s) to update the network status data in real time and calculate the operation evaluation coefficient based on it. This dynamic evaluation mechanism enables the solution to track changes in network status in real time and make adjustments based on the latest network performance data. This dynamic adaptability helps the solution maintain optimal performance under different network conditions. By intelligently selecting networks, the solution can avoid transmitting data when the network is congested or performance is poor, thereby optimizing the utilization of network resources. This helps reduce network congestion and improve the efficiency and performance of the overall network. Comprehensively evaluating the network status and intelligently selecting the network can help reduce interruptions and packet loss during data transmission, thereby improving the reliability and stability of the system. This is especially important for real-time video surveillance systems that require continuous and stable data transmission. The design of this technical solution has certain scalability and flexibility. With the continuous development of network technology and the emergence of new application scenarios, the parameters and algorithms in the solution can be easily adjusted and optimized to adapt to new network environments and data transmission requirements.

[0037] Monitoring data transmission and analysis unit, also used for: When environmental monitoring data and real-time video data are transmitted to the central database, the transmission channel is automatically selected; Firstly, the environmental monitoring data and the real-time video data are compressed, and the data transmission volume of the compressed data is confirmed; Monitor the remaining capacity and signal strength of each transmission channel in real time; The transmission channel whose data transmission volume is less than the remaining capacity of the channel is used as the first transmission channel for transmitting environmental monitoring data and real-time video data to the central database; When there are more than one first transmission channel, the channel with the strongest signal strength among the multiple transmission channels is selected as the second transmission channel for transmitting environmental monitoring data and real-time video data to the central database; The environmental monitoring data and the real-time video data are transmitted to the central database using the first transmission channel or the second transmission channel.

[0038] The central database receives environmental monitoring data and real-time video data, and performs data analysis after data reception is completed; Before data analysis, the received data is preprocessed; After the data preprocessing is completed, the received data will be subjected to data feature extraction respectively; Data feature extraction includes feature data in real-time video data and feature data in environmental monitoring data; The feature data in the real-time video data uses computer vision technology to extract the image features related to the specimen in the video image. The image features related to the specimen include the shape, color and its changes of the key objects. After the image feature extraction is completed, the video feature data is obtained; The characteristic data in the environmental monitoring data is to extract the monitoring data parameters of each sensor according to the sensor type, and obtain the environmental characteristic data after the parameter extraction is completed; The environmental feature data and video feature data are uniformly marked as monitoring data to be processed.

[0039] Specifically, through data compression technology, the volume of environmental monitoring data and real-time video data is reduced, thereby improving the speed and efficiency of data transmission. The function of automatically selecting the transmission channel ensures that the data can be quickly transmitted through the optimal channel, reducing transmission delays. Real-time monitoring of the remaining capacity and signal strength of the transmission channel helps to avoid channel congestion and signal interference during data transmission, and improves the stability of data transmission. When there are multiple optional channels, the channel with the strongest signal strength is selected as the second transmission channel, which provides a backup for data transmission and further enhances the reliability of data transmission. Through intelligent selection of transmission channels, the remaining capacity of each channel can be fully utilized to avoid the waste of channel resources. Data compression technology also reduces the occupation of storage and transmission resources, making system resources more effectively utilized. According to different transmission requirements and environmental conditions, the most suitable transmission channel can be flexibly selected, enhancing the adaptability and flexibility of the system. The functions of real-time monitoring and intelligent selection enable the system to dynamically adjust the transmission strategy to cope with various emergencies. Through intelligent data transmission management, the need for manual intervention and manual configuration is reduced, and the maintenance cost of the system is reduced. Real-time monitoring and early warning functions help to timely discover and solve potential problems, reduce downtime and maintenance costs caused by system failures, and implement data compression and intelligent transmission strategies to reduce exposure risks during data transmission and improve data security. By selecting channels with strong signal strength for transmission, the risk of data loss or damage caused by unstable signals can be reduced. The central database can quickly receive data from environmental monitoring and real-time video, ensuring the timeliness and integrity of the data. The data preprocessing step further improves the accuracy and availability of the data, laying a solid foundation for subsequent data analysis. The data feature extraction link conducts in-depth analysis of real-time video and environmental monitoring data, extracts key information, and provides strong support for subsequent data analysis. The feature extraction of real-time video data relies on advanced computer vision technology, which can accurately capture specimen-related image features such as shape, color, and changes, which helps to detect abnormal situations in a timely manner. The feature extraction of environmental monitoring data covers the monitoring parameters of each sensor, ensuring comprehensive monitoring of environmental factors. The monitoring of real-time video data provides intuitive visual information, which helps staff to intuitively understand the real-time situation in the specimen cabinet. Through the application of computer vision technology, the system can automatically identify and extract key information in the video, reducing manual intervention and improving the intelligence level of the system. In-depth analysis of environmental monitoring data also helps the system to more accurately judge the environmental conditions inside the specimen cabinet, so that appropriate measures can be taken to ensure the safety of the specimens. The combination of real-time video surveillance and environmental monitoring enables the system to promptly detect and respond to potential threats or abnormal situations, thereby enhancing the security of the system.

[0040] In order to solve the problem in the prior art that there is no effective data analysis and abnormality judgment on the monitoring data of the specimen cabinet, which leads to the inability to perform more accurate alarm processing according to the abnormality degree, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: The monitoring data early warning unit is also used for: The video feature data in the monitoring data to be processed is used to detect abnormal fluctuation images using computer vision technology, and the detected abnormal fluctuations are subjected to risk identification. After the risk identification is completed, the abnormal images in the video feature data and the risk level of the abnormal images are obtained; Compare each parameter data in the environmental characteristic data with the standard environmental parameter data, wherein the standard environmental parameter data is retrieved from the database; According to the parameter comparison results, the abnormal parameters to be compared are confirmed, and the abnormal thresholds of the abnormal parameters are calculated by difference, and risk identification is performed according to the abnormal thresholds. After the risk identification is completed, the abnormal parameters in the environmental feature data and the risk levels of the abnormal parameters are obtained; The abnormal images and risk levels of the abnormal images in the video feature data and the abnormal parameters and risk levels of the abnormal parameters in the environmental feature data are divided into alarm intensity levels; The alarm intensity is divided into level one, level two and level three; Alerts of different intensities correspond to the range of risk levels; The corresponding completed alarm intensity, abnormal images and risk levels of abnormal images in the video feature data, and abnormal parameters and risk levels of abnormal parameters in the environmental feature data are uniformly labeled as standard monitoring data.

[0041] Specifically, by using computer vision technology to detect abnormal fluctuation images, abnormal images in the video can be automatically identified, avoiding omissions and misjudgments in manual monitoring, and improving the accuracy and efficiency of monitoring. By comparing parameters of environmental feature data, abnormal parameters can be discovered and confirmed in a timely manner, further improving the response speed of the monitoring system. Risk identification of abnormal images in video feature data can accurately assess the risk level of abnormal images, providing an important basis for subsequent alarm intensity classification. Risk identification of abnormal parameters in environmental feature data can also assess the risk level of abnormal parameters, ensuring that the monitoring system can accurately identify potential safety hazards. Alarm intensity classification based on the risk level of abnormal images in video feature data and abnormal parameters in environmental feature data can ensure the accuracy and pertinence of alarm information. The alarm intensity is divided into level 1, level 2 and level 3 alarms, which helps customs officers take corresponding countermeasures according to different levels of alarms, improves the efficiency and effectiveness of emergency response, reduces manual intervention through automatic detection, identification and alarm, improves the automation and intelligence level of the monitoring system, and ensures the accuracy and traceability of data through the database storage of standard environmental parameter data, improves the reliability and stability of the monitoring system, and can timely detect and handle abnormal situations in the customs intelligent specimen cabinet, avoiding potential safety risks and losses. Through the intelligent monitoring and alarm system, the management process of customs is optimized and work efficiency and safety are improved.

[0042] Data management report generation unit, also used for: Classify the standard monitoring data, and obtain abnormal video data and abnormal environment data after the data classification is completed; Design visualization templates based on abnormal video data and abnormal environment data. The visualization templates include color schemes, icons, and layouts. Map abnormal video data and abnormal environment data to the designed visualization template, and generate charts after the mapping is completed; After the chart is generated, the position, degree of abnormality and type of abnormality corresponding to the abnormal image in the abnormal video data in the specimen cabinet are obtained; the change trend of the abnormal parameters in the abnormal environment data, the position, degree of abnormality, type of abnormality and the corresponding sensor in the specimen cabinet are obtained; The data after the chart is generated is transmitted to the display terminal of the specimen cabinet monitoring system for graphic and text display.

[0043] Specifically, by carefully classifying the standard monitoring data, abnormal video data and abnormal environmental data can be quickly identified, providing an accurate data basis for subsequent processing and analysis. Visual templates are designed, including color schemes, icons and layouts, so that abnormal data can be presented in an intuitive and easy-to-understand way. This visual display method helps staff to quickly capture key information and improve response speed. After mapping abnormal video data and abnormal environmental data to the visualization template, the position of abnormal images in the specimen cabinet can be accurately located, and the degree and type of abnormality can be analyzed. This precise positioning and analysis capability helps staff to quickly locate problems and take targeted measures. For abnormal environmental data, the solution can display the changing trend of abnormal parameters, the position in the specimen cabinet, the degree of abnormality, the type of abnormality and the corresponding sensors. This comprehensive monitoring method helps staff to fully understand the environmental conditions, discover and solve problems in a timely manner, and transmit the generated chart data to the display terminal of the specimen cabinet monitoring system for graphic display, so that staff can intuitively see abnormal data and related information. This convenient display method helps improve work efficiency and reduce human errors. Through automated data classification, visual display and exception analysis, it improves the intelligence level of the customs intelligent specimen cabinet monitoring system. This improvement in intelligence helps reduce human intervention and improve monitoring efficiency and accuracy. Through precise data analysis and visual display, it helps to promptly detect and deal with potential faults and safety hazards, thereby enhancing the reliability and stability of the system.

[0044] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0045] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. Customs intelligent specimen cabinet monitoring system, characterized by: include: User authentication unit, used to: Before logging into the specimen cabinet monitoring system, the staff must first perform identity verification and authority verification, and only after passing the verification can the user access and operate; Specimen storage management unit, used for: The qualified staff will enter the specimen information of the specimen to be stored, and obtain the target specimen information after the entry is completed; Specimen safety monitoring unit, used for: Perform security monitoring on the specimen cabinet corresponding to the target specimen information, and mark the security monitoring data as target monitoring data; Monitoring data transmission and analysis unit for: The target monitoring data is transmitted to the central database for data analysis, and the monitoring data to be processed is obtained after the data analysis is completed; Monitoring data early warning unit, used for: Perform an abnormal analysis on the monitoring data to be processed, and perform alarm linkage based on the abnormal analysis results, and mark the abnormal analysis data and alarm linkage data as standard monitoring data; Data management report generation unit for: The standard monitoring data is converted into visual data, and after the visual data conversion is completed, it is transmitted to the display terminal of the specimen cabinet monitoring system for data display.

2. The customs intelligent specimen cabinet monitoring system according to claim 1 is characterized in that: The specimen safety monitoring unit is also used for: Security monitoring includes video monitoring and environmental monitoring; Video monitoring is to use the camera installed in the specimen cabinet to conduct real-time video monitoring inside the specimen cabinet. The camera has night vision, 360-degree rotation and high-definition recording functions; When the camera device performs real-time video monitoring inside the cabinet, the real-time video data is transmitted to the central database via a wired network or a wireless network; At the same time, the camera device records the real-time video inside the cabinet and stores the real-time video data in the local memory of the camera device; When the camera device performs real-time video monitoring inside the cabinet, the real-time video data is transmitted to the central database using a wired network or a wireless network, including: When the camera device performs real-time video monitoring inside the cabinet, the video data is segmented according to a preset unit time length to obtain multiple video clips; and the value range of the unit time length is 1min-5min; Packing the video clips to generate data packets corresponding to each video clip; Detecting the data transmission rate corresponding to the current wired network and the data transmission rate corresponding to the wireless network; When the difference between the data transmission rate corresponding to the wired network and the data transmission rate corresponding to the wireless network is greater than a preset rate difference, a network form with a larger data transmission rate between the wired network and the wireless network is selected to send multiple data packets corresponding to the real-time video data to the central database; When the difference between the data transmission rate corresponding to the wired network and the data transmission rate corresponding to the wireless network is not greater than a preset rate difference, the data transmission rates corresponding to the network operation unit time of the wired network and the wireless network are respectively retrieved, and the network operation unit time is 1s; Obtaining a data transmission rate coefficient using the data transmission rates corresponding to the network operation unit time of the wired network and the wireless network; The data transmission rate coefficient is obtained by the following formula: Where Y represents the data transmission rate coefficient; n represents the number of network operation unit time experienced by the wireless network and wired network operation; B wi represents the data transmission rate of the wireless network corresponding to the i-th network operation unit time; B yi represents the data transmission rate of the wired network corresponding to the i-th network operation unit time; B wb Indicates the standard deviation of the data transmission rate of the wireless network corresponding to n unit time; B yb represents the standard deviation of the data transmission rate of the wired network corresponding to n unit time; K represents the adjustment coefficient, and the adjustment coefficient is obtained by the following formula: Where K represents the adjustment coefficient; n represents the number of network operation unit time experienced by the wireless network and wired network operation; B wi represents the data transmission rate of the wireless network corresponding to the i-th network operation unit time; B yi represents the data transmission rate of the wired network corresponding to the i-th network operation unit time; B wb Indicates the standard deviation of the data transmission rate of the wireless network corresponding to n unit time; B yb Represents the standard deviation of the data transmission rate of the wired network corresponding to n unit time; comparing the data transmission rate coefficient with a preset data transmission rate coefficient threshold; When the data transmission rate coefficient exceeds a preset data transmission rate coefficient threshold, a plurality of data packets corresponding to the real-time video data are sent to a central database using a wired network; When the data transmission rate coefficient does not exceed the preset data transmission rate coefficient threshold, the network operation status of the wired network and the wireless network is determined, and the network form of transmitting the real-time video data to the central database is determined according to the determination result.

3. The customs intelligent specimen cabinet monitoring system according to claim 2 is characterized in that: The user identity verification unit is further used for: When the staff logs into the specimen cabinet monitoring system, they enter the pre-registered user name and password for login verification; After the login verification is passed, biometric identification is performed, which includes fingerprint recognition, facial recognition and iris scanning; The identity verification process is completed after the biometrics are completed and qualified; After identity authentication is completed, different access rights are assigned according to the staff's identity role. After access rights are assigned, the access rights are dynamically adjusted according to the staff's position attributes and operating environment. After the dynamic adjustment is completed and qualified, the authority verification process is completed; After the identity verification process and the permission verification process are both verified, the staff logs into the specimen cabinet monitoring system for user access and operation.

4. The customs intelligent specimen cabinet monitoring system according to claim 3 is characterized in that: The specimen storage management unit is also used for: The staff will receive the specimens to be stored and enter the specimen information after receiving them; Specimen information includes specimen name, number, type, source, receipt date, and storage conditions; Use electronic forms to enter specimen information of specimens to be stored; After the specimen information is entered, each piece of information is processed into image and document data, and the specimen graphic and text information is obtained after the generation; Performing data fusion on specimen graphic information and specimen information to obtain standard fusion information; Submit the standard fusion information to the review terminal for specimen review; After the specimen is reviewed and approved, it is stored in the specimen cabinet. After the specimen is stored in the specimen cabinet, the location data of the specimen in the storage cabinet is obtained; Uniquely encode and label the location data in the storage cabinet and the specimen data that have passed the specimen review; After the data is uniquely coded and labeled, the target sample information is obtained.

5. The customs intelligent specimen cabinet monitoring system according to claim 4 is characterized in that: The specimen safety monitoring unit is also used for: Confirm the specimen cabinet corresponding to the target specimen information. After the specimen cabinet is confirmed, perform video monitoring and environmental monitoring on the standard cabinet; Environmental monitoring is to use the temperature sensor, humidity sensor, vibration sensor and air quality sensor installed in the specimen cabinet to monitor the environmental parameters inside the specimen cabinet; In addition, the performance of temperature sensors, humidity sensors, vibration sensors and air quality sensors shall be tested regularly, and sensors that fail the performance test shall be repaired or replaced; The environmental monitoring data of the temperature sensor, humidity sensor, vibration sensor and air quality sensor are transmitted to the central database using a wired network or a wireless network.

6. The customs intelligent specimen cabinet monitoring system according to claim 5 is characterized in that: When the data transmission rate coefficient does not exceed the preset data transmission rate coefficient threshold, the network operation status of the wired network and the wireless network is determined, and the network form of transmitting the real-time video data to the central database is determined according to the determination result, including: When the data transmission rate coefficient does not exceed a preset data transmission rate coefficient threshold, retrieving the bandwidth utilization rate and data transmission rate change rate of the wired network and the wireless network; Obtaining a wired network operation evaluation coefficient using the bandwidth utilization rate and data transmission rate change rate of the wired network; The wired network operation evaluation coefficient is obtained by the following formula: Among them, S y represents the wired network operation evaluation coefficient; n represents the number of network operation unit time experienced by the wireless network and wired network operation; P ki represents the bandwidth utilization rate corresponding to the i-th network operation unit time; P vi P represents the rate of change of data transmission rate corresponding to the i-th network operation unit time; kmax Indicates the maximum bandwidth utilization corresponding to n network operation unit time; P vmax P represents the maximum value of the data transmission rate change rate corresponding to n network operation unit time; kb represents the standard deviation of bandwidth utilization corresponding to n network operation unit time; P vb represents the standard deviation of the data transmission rate change rate corresponding to n network operation unit time; C yp It represents the average data volume of the data packets that complete the data transmission in the wired network; K represents the adjustment coefficient; Obtaining a wireless network operation evaluation coefficient using the bandwidth utilization rate, data transmission rate change rate and signal interference strength of the wireless network; The wireless network operation evaluation coefficient is obtained by the following formula: Among them, S w represents the wireless network operation evaluation coefficient; n represents the number of network operation unit time experienced by the wireless network and wired network operation; Z ki represents the bandwidth utilization rate corresponding to the i-th network operation unit time of the wireless network operation; Z vi Z represents the rate of change of data transmission rate corresponding to the i-th network operation unit time of the wireless network operation; kmax Indicates the maximum bandwidth utilization corresponding to n network operation unit time; Z vmax Indicates the maximum value of the data transmission rate change rate corresponding to n network operation unit time of the wireless network operation; Z kb Z represents the standard deviation of bandwidth utilization corresponding to n network operation unit time of wireless network operation; vb Indicates the standard deviation of the data transmission rate change rate corresponding to n network operation unit time of the wireless network operation; C wp It represents the average data volume of the data packets transmitted by the wireless network; K represents the adjustment coefficient; Q i represents the signal interference intensity corresponding to the i-th network operation unit time of the wireless network operation; Q c Indicates the preset wireless network signal interference strength reference value; Comparing the wired network operation evaluation coefficient with the wireless network operation evaluation coefficient; A network form corresponding to a lower value of a wired network operation evaluation coefficient and a wireless network operation evaluation coefficient is selected to send multiple data packets corresponding to the real-time video data to a central database.

7. The customs intelligent specimen cabinet monitoring system according to claim 6 is characterized in that: The monitoring data transmission and analysis unit is further used for: When environmental monitoring data and real-time video data are transmitted to the central database, the transmission channel is automatically selected; Firstly, the environmental monitoring data and the real-time video data are compressed, and the data transmission volume of the compressed data is confirmed; Monitor the remaining capacity and signal strength of each transmission channel in real time; The transmission channel whose data transmission volume is less than the remaining capacity of the channel is used as the first transmission channel for transmitting environmental monitoring data and real-time video data to the central database; When there are more than one first transmission channel, the channel with the strongest signal strength among the multiple transmission channels is selected as the second transmission channel for transmitting environmental monitoring data and real-time video data to the central database; The environmental monitoring data and the real-time video data are transmitted to the central database using the first transmission channel or the second transmission channel.

8. The customs intelligent specimen cabinet monitoring system according to claim 7 is characterized in that: The monitoring data transmission and analysis unit is further used for: The central database receives environmental monitoring data and real-time video data, and performs data analysis after data reception is completed; Before data analysis, the received data is preprocessed; After the data preprocessing is completed, the received data will be subjected to data feature extraction respectively; Data feature extraction includes feature data in real-time video data and feature data in environmental monitoring data; The feature data in the real-time video data uses computer vision technology to extract the image features related to the specimen in the video image. The image features related to the specimen include the shape, color and its changes of the key objects. After the image feature extraction is completed, the video feature data is obtained; The characteristic data in the environmental monitoring data is to extract the monitoring data parameters of each sensor according to the sensor type, and obtain the environmental characteristic data after the parameter extraction is completed; The environmental feature data and video feature data are uniformly marked as monitoring data to be processed.

9. The customs intelligent specimen cabinet monitoring system according to claim 8 is characterized in that: The monitoring data early warning unit is also used for: The video feature data in the monitoring data to be processed is used to detect abnormal fluctuation images using computer vision technology, and the detected abnormal fluctuations are subjected to risk identification. After the risk identification is completed, the abnormal images in the video feature data and the risk level of the abnormal images are obtained; Compare each parameter data in the environmental characteristic data with the standard environmental parameter data, wherein the standard environmental parameter data is retrieved from the database; According to the parameter comparison results, the abnormal parameters to be compared are confirmed, and the abnormal thresholds of the abnormal parameters are calculated by difference, and risk identification is performed according to the abnormal thresholds. After the risk identification is completed, the abnormal parameters in the environmental feature data and the risk levels of the abnormal parameters are obtained; The abnormal images and risk levels of the abnormal images in the video feature data and the abnormal parameters and risk levels of the abnormal parameters in the environmental feature data are divided into alarm intensity levels; The alarm intensity is divided into level one, level two and level three; Alerts of different intensities correspond to the range of risk levels; The corresponding completed alarm intensity, abnormal images in the video feature data and the risk level of the abnormal images, as well as abnormal parameters in the environmental feature data and the risk level of the abnormal parameters are uniformly labeled as standard monitoring data.

10. The customs intelligent specimen cabinet monitoring system according to claim 9 is characterized in that: The data management report generating unit is further used for: Classify the standard monitoring data, and obtain abnormal video data and abnormal environment data after the data classification is completed; Design visualization templates based on abnormal video data and abnormal environment data. The visualization templates include color schemes, icons, and layouts. Map abnormal video data and abnormal environment data to the designed visualization template, and generate charts after the mapping is completed; After the chart is generated, the position, degree of abnormality and type of abnormality corresponding to the abnormal image in the abnormal video data in the specimen cabinet are obtained; Obtain the changing trend of abnormal parameters in abnormal environment data, the location in the specimen cabinet, the degree of abnormality, the type of abnormality and the corresponding sensor; The data after the chart is generated is transmitted to the display terminal of the specimen cabinet monitoring system for graphic and text display.

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