Seed bank management method and system

Abstract

The invention relates to the technical field of seed banks, in particular to a seed bank management method, comprising: an upper computer network management module for receiving a task instruction input by an administrator through a graphical user interface, the task instruction comprising a warehouse-in request and a warehouse-out request; determining an optimal storage position; the lower computer robot operation module controls the robot to move to a designated position to complete access operation; according to the network transmission and management module, a server runs various application programs and services, processes concurrent requests and executes data backup and recovery; the internet-of-things connection module is used for performing detailed phenotypic feature detection on the seeds by the digital seed testing machine; the super-drying cabinet is used for storing special seeds for a long time; the ultralow-temperature cryopreservation equipment provides an extremely low temperature condition; and the real-time acquisition and monitoring module is used for sampling and collecting temperature, humidity and door opening and closing states at regular time, and triggering an alarm to inform related personnel if abnormity occurs. According to the invention, automatic management of the seed bank can be accurately realized.

Description

Technical Field

[0001] The present application relates to the technical field of seed banks, and in particular to a seed bank management method and system. Background Art

[0002] The management of germplasm resources is crucial for scientific research institutions, especially on the basis of seed phenotyping and seed breeding. In order to ensure the safety and quality of seeds during the storage process, specific environmental conditions, such as constant temperature and humidity, need to be maintained. Traditional preservation methods usually rely on single constant temperature cabinets, but this method cannot meet the needs of large-scale seed storage, and lacks an effective recording system to track the location of seeds, resulting in frequent changes in environmental conditions during storage and retrieval, posing potential risks to samples. Therefore, it is urgent to establish a complete and highly automated management system to ensure the safety of seeds during storage, storage, and retrieval, and to keep the storage environment stable and unchanged without affecting other seed resources.

[0003] From the above, we can see that how to accurately realize the automated management of seed banks remains to be solved. Summary of the invention

[0004] In order to achieve accurate automated management of a seed bank, the present application provides a seed bank management method and system.

[0005] In the first aspect, the present application provides a seed bank management method, which adopts the following technical solution:

[0006] A seed bank management method, comprising:

[0007] The upper computer network management module receives the task instructions input by the administrator through the graphical user interface. The task instructions include storage requests and outbound requests. It is used to analyze the task requirements and query the database to determine the optimal storage location, generate a specific operation plan, and notify the relevant personnel of the operation results. The operation plan is sent to the lower computer robot operation module, which is parsed into specific action commands for the automated robot.

[0008] The lower computer robot operation module is used to control the robot to move to the specified position, complete the storage and retrieval operations of the seed bottles in the seed library, and provide real-time feedback of the operation status to the upper computer network management module;

[0009] Network transmission and management module, the server runs various applications and services, handles concurrent requests, performs data backup and recovery, and the server (UPS) automatically switches to an uninterruptible power supply when a power outage is detected; the disk array uses redundancy technology to store massive germplasm resource data and optimizes data distribution based on access frequency; Gigabit routers build internal LANs;

[0010] The IoT connection module uses an automatic precision weighing device to measure the weight of seeds before they are put into storage, and uses a barcode scanner to identify the seed identity information before uploading it to the host computer network management module. The digital seed testing machine performs detailed phenotypic characteristic testing on seeds. The ultra-drying cabinet is used to store special types of seeds for a long time, and has integrated temperature and humidity control. The ultra-low temperature freezing equipment provides extremely low temperature conditions. The scanner quickly reads the information on the label and supports multiple encoding formats. The label printer prints labels containing detailed seed information.

[0011] The real-time data collection and monitoring module collects temperature, humidity, and door switch status at regular intervals and uploads them to the cloud or local server for analysis. If any abnormality occurs, an alarm is triggered to notify relevant personnel.

[0012] By adopting the above technical solutions, task instructions are received through a graphical user interface and an optimized operation plan is automatically generated to ensure that each step of the operation can be executed efficiently; the robot accurately completes the storage and retrieval tasks according to the parsed action commands, and provides real-time feedback on the status to ensure operational transparency and traceability. At the same time, with the help of IoT devices such as automatic precision weighing, digital seed testing, and environmental control systems, the full process of automated management from quality inspection before storage to long-term storage condition monitoring is realized. In addition, real-time data collection and intelligent analysis functions can detect and respond to abnormal situations in a timely manner, ensuring the stable operation of the system. In summary, this method not only improves the efficiency and accuracy of seed bank management, but also greatly reduces the possibility of human errors, and truly realizes the refined and automated management of seed banks.

[0013] Optionally, the host computer network management module also includes:

[0014] Connect with other management systems through API interface, generate visual reports based on historical data analysis; support multi-user permission management.

[0015] By adopting the above technical solutions, seamless connection with external management systems is achieved through API interfaces, which promotes data sharing and process integration; the visual reports generated based on historical data analysis provide intuitive decision-making support for management and help optimize operational strategies; the multi-user permission management function ensures that users of different levels can only access information within the authorized scope, improving the security and management efficiency of the system. These features jointly enhance the collaborative work ability and information security of seed bank management.

[0016] Optionally, the lower robot operation module further includes:

[0017] Automatic path planning algorithm enables the robot to avoid obstacles and choose the best path to reach the target location; record the time, location, operator and results of each operation; emergency stop mechanism immediately stops all activities in the event of an emergency.

[0018] By adopting the above technical solutions, the automatic path planning algorithm ensures that the robot can intelligently avoid obstacles and efficiently select the optimal path, which improves the accuracy and efficiency of the operation; the detailed operation log recording function provides complete time, location and personnel information traceability for each task, enhancing the transparency and auditing capabilities of the operation; the emergency stop mechanism ensures the safety of equipment and personnel in the event of an emergency, ensuring the reliable operation of the system. These features jointly improve the automation level and security of seed bank management.

[0019] Optionally, the Internet of Things connection module further includes:

[0020] Server switches serve as the connection hub between multiple servers and other network devices, supporting VLAN division and traffic control.

[0021] By adopting the above technical solution, as the core connection hub between multiple servers and other network devices, by supporting VLAN division and traffic control, refined management and efficient allocation of network resources are achieved, ensuring the stability and security of data transmission, while reducing network congestion and optimizing overall network performance.

[0022] Optionally, the Internet of Things connection module further includes:

[0023] Mobile tablet computers serve as portable terminals to assist staff in on-site operations; intelligent early warning units predict the occurrence of potential problems based on big data analysis.

[0024] By adopting the above technical solutions, mobile tablets as portable terminals have greatly improved the flexibility and efficiency of staff in on-site operations and supported real-time data access and interaction; while the intelligent early warning unit predicts potential problems in advance through big data analysis, enabling managers to take preventive measures, reduce the occurrence of failures and optimize maintenance plans.

[0025] Optionally, the real-time acquisition and monitoring module further includes:

[0026] Remote configuration management allows administrators to remotely adjust sampling frequency and threshold settings; analyze environmental change trends through long-term series data.

[0027] By adopting the above technical solutions, the remote configuration management function allows administrators to flexibly adjust the sampling frequency and threshold settings remotely, simplifying the maintenance process and improving the response speed; and long-term series data analysis provides management with scientific decision-making basis by tracking environmental change trends, which helps to plan and optimize the long-term management strategy of the seed bank in advance.

[0028] Optionally, the real-time acquisition and monitoring module further includes:

[0029] Set different levels of alarms according to different types of abnormal situations, and automatically adjust temperature and humidity control parameters according to seasonal changes or special climate conditions.

[0030] By adopting the above technical solutions and setting different levels of alarm mechanisms, accurate early warnings are provided for various abnormal situations to ensure that key issues are handled first; at the same time, the module can automatically adjust the temperature and humidity control parameters according to seasonal changes or special climatic conditions to maintain the optimal storage environment. These functions enhance the system's response accuracy and environmental adaptability, and effectively ensure the long-term and stable preservation of germplasm resources in the seed bank.

[0031] In the second aspect, the present application provides a seed bank management system, which adopts the following technical solution:

[0032] A seed bank management system, comprising:

[0033] The upper computer network management module receives the task instructions input by the administrator through the graphical user interface. The task instructions include storage requests and outbound requests. It is used to analyze the task requirements and query the database to determine the optimal storage location, generate a specific operation plan, and notify the relevant personnel of the operation results. The operation plan is sent to the lower computer robot operation module, which is parsed into specific action commands for the automated robot.

[0034] The lower computer robot operation module is used to control the robot to move to the specified position, complete the storage and retrieval operations of the seed bottles in the seed library, and provide real-time feedback of the operation status to the upper computer network management module;

[0035] Network transmission and management module, the server runs various applications and services, handles concurrent requests, performs data backup and recovery, and the server (UPS) automatically switches to an uninterruptible power supply when a power outage is detected; the disk array uses redundancy technology to store massive germplasm resource data and optimizes data distribution based on access frequency; Gigabit routers build internal LANs;

[0036] The IoT connection module uses an automatic precision weighing device to measure the weight of seeds before they are put into storage, and uses a barcode scanner to identify the seed identity information before uploading it to the host computer network management module. The digital seed testing machine performs detailed phenotypic characteristic testing on seeds. The ultra-drying cabinet is used to store special types of seeds for a long time, and has integrated temperature and humidity control. The ultra-low temperature freezing equipment provides extremely low temperature conditions. The scanner quickly reads the information on the label and supports multiple encoding formats. The label printer prints labels containing detailed seed information.

[0037] The real-time data collection and monitoring module collects temperature, humidity, and door switch status at regular intervals and uploads them to the cloud or local server for analysis. If any abnormality occurs, an alarm is triggered to notify relevant personnel.

[0038] In a third aspect, the present application provides a seed bank management method, which adopts the following technical solution:

[0039] A seed bank management method includes a processor, wherein a program of any one of the seed bank management methods described above is run in the processor.

[0040] In a fourth aspect, the present application provides a storage medium, which adopts the following technical solution:

[0041] A storage medium storing a program of the seed bank management method described in any one of the above.

[0042] In summary, the present application includes at least one of the following beneficial technical effects:

[0043] 1. By integrating the upper computer network management module, the lower computer robot operation module, the network transmission and management module, and the real-time acquisition and monitoring module, the seed bank management method builds a highly automated and intelligent system. The graphical user interface receives task instructions and automatically generates an optimized operation plan to ensure efficient execution of each step of the operation; the robot accurately completes the storage and retrieval tasks according to the parsed action commands, and provides real-time feedback on the status to ensure operational transparency and traceability. With the help of IoT devices such as automatic precision weighing, digital seed testing, and environmental control systems, the full process of automated management from quality inspection before storage to long-term storage condition monitoring is realized. At the same time, the intelligent early warning unit and long-term series data analysis function can predict potential problems in advance and provide a scientific basis for decision-making, ensuring the stable operation and environmental adaptability of the system.

[0044] 2. In order to accurately realize the automated management of the seed bank, the system promotes data sharing and process integration through multi-user permission management and API interface, and enhances the collaborative work ability and information security. The lower-level robot operation module adopts automatic path planning algorithm and detailed operation log recording function to improve the accuracy and efficiency of operation and ensure the safety and reliability of operation. The server switch supports VLAN division and flow control to optimize network performance, while mobile tablets improve the flexibility of on-site operations. The real-time acquisition and monitoring module not only allows remote configuration management, but also sets different levels of alarms according to different types of abnormal situations, and automatically adjusts the temperature and humidity control parameters according to seasonal changes to maintain the optimal storage environment. These features together ensure the high degree of automation, refinement and reliability of seed bank management. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1The figure is a flow chart of a seed bank management method according to an exemplary embodiment.

[0046] Figure 2 It is a structural block diagram of a seed bank management system according to an exemplary embodiment. DETAILED DESCRIPTION

[0047] Embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings.

[0048] In the description of this specification, the description with reference to the terms "certain embodiments", "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0049] The present application embodiment discloses a seed bank management method, referring to Figure 1 ,include:

[0050] S100, the upper computer network management module, receives the task instructions input by the administrator through the graphical user interface. The task instructions include warehousing requests and outbound requests; it is used to analyze the task requirements and query the database to determine the optimal storage location, generate a specific job plan, and notify relevant personnel of the operation results; the job plan is sent to the lower computer robot operation module, which is parsed by the lower computer robot operation module into specific action commands for the automated robot.

[0051] The execution process of the host computer network management module specifically includes the following steps:

[0052] Receiving and parsing task instructions: The graphical user interface (GUI) provides an intuitive operating environment, through which administrators can input task instructions such as inbound requests and outbound requests. After receiving the task instructions, the system automatically parses the instruction content and determines the specific operation requirements.

[0053] Analyze task requirements and query database: Based on the parsed task instructions, the system will query the internal database to determine the optimal storage location to ensure that each seed bottle can be placed in the most suitable location.

[0054] Generate a job plan and notify relevant personnel: Based on the analysis results, the host computer generates a detailed job plan, including the specific sequence of actions that the robot needs to perform; sends the job plan to the relevant operators and notifies them of the operation results through email, SMS or in-app messages.

[0055] Send the job plan to the lower robot operation module: The upper computer converts the generated job plan into a specific command format suitable for the automated robot and then sends it to the lower computer for further processing.

[0056] The host computer network management module provides a centralized management and scheduling platform, making the operation of the seed library more orderly and efficient, thereby reducing the possibility of human intervention and improving operational accuracy and efficiency.

[0057] Suppose the administrator of the seed bank needs to store a new batch of wheat seeds and take out some corn seeds for research. Through the graphical user interface (GUI), the administrator enters the corresponding storage and outbound requests. After receiving the task instructions, the system automatically parses and determines the specific operation requirements. Then, the system queries the internal database and uses complex algorithms to evaluate the existing inventory, space utilization and seed characteristics, and finally determines the optimal storage location: the newly stored wheat seeds are arranged in an empty area near the entrance, while the corn seeds are taken out from the designated cold storage area. Based on these analysis results, the host computer generates a detailed operation plan, including the robot's movement path and specific operation steps.

[0058] Next, the host computer converts the operation plan into a specific command format suitable for the automated robot and sends it to the robot operation module of the lower computer. The robot moves accurately to the designated position according to the instructions to complete the storage of wheat seeds and the removal of corn seeds. During the whole process, the robot feeds back the operation status to the host computer in real time to ensure that the operation is transparent and traceable. At the same time, the system notifies the relevant personnel through email that the operation has been completed, and attaches a detailed operation log to ensure timely and accurate information transmission.

[0059] S110, the lower computer robot operation module is used to control the robot to move to the specified position, complete the storage and retrieval operation of the seed bottles in the seed library, and feed back the operation status to the upper computer network management module in real time.

[0060] Among them, the execution process of the lower robot operation module specifically includes the following steps:

[0061] Receive and analyze the job plan: After the lower computer receives the task instruction from the upper computer, it analyzes it and converts it into a specific robot motion path and other control parameters.

[0062] Control the robot to move to the specified location: The robot uses the built-in navigation system (such as laser radar, visual sensor, etc.) to accurately locate the target location according to the parsed instructions. During the movement, the robot will monitor the surrounding environment in real time, avoid collisions with obstacles, and choose the best path to move forward.

[0063] Completing the storage and retrieval operation: After reaching the specified location, the robot performs the storage and retrieval operation, such as grabbing or placing a seed bottle. After the operation is completed, the robot returns to the origin or waits for the next task.

[0064] Real-time feedback of operation status: During the whole process, the robot continuously feeds back information such as its current position, operation progress and problems encountered to the host computer to ensure transparency and traceability of the operation.

[0065] The lower-level robot operation module realizes a high degree of automation of physical operations inside the seed vault, reduces the intensity of manual labor, and at the same time provides precise operation control and real-time monitoring functions, enhancing the reliability and safety of the system.

[0066] Suppose the administrator of the seed bank needs to store a new batch of rice seeds. Through the graphical user interface of the upper computer network management module, the administrator enters the storage request. After receiving the task instruction, the upper computer automatically parses and generates a detailed operation plan, determines the optimal storage location, and converts the plan into a specific command format suitable for the automated robot and sends it to the lower computer robot operation module.

[0067] After receiving the instructions, the lower computer parses the specific robot motion path and other control parameters. The robot starts according to these instructions, uses the built-in laser radar and visual sensor to accurately locate the target position, monitors the surrounding environment in real time during movement, selects the optimal path to move forward, and avoids collisions with obstacles. After arriving at the designated location, the robot accurately grabs the rice seed bottle and places it in the predetermined position, while continuously feeding back information such as the current position and operation progress to the upper computer to ensure that the operation is transparent and traceable. After the operation is completed, the robot returns to the origin and waits for the next task. The entire process is highly automated, reducing human intervention and enhancing the reliability and safety of the system.

[0068] S120, network transmission and management module, the server runs various applications and services, handles concurrent requests, performs data backup and recovery, and the server (UPS) automatically switches to an uninterruptible power supply when a power outage is detected; the disk array uses redundant technology to save massive germplasm resource data and optimizes data distribution based on access frequency; a gigabit router builds an internal LAN.

[0069] The execution process of the network transmission and management module specifically includes:

[0070] Servers run applications and services: As core computing resources, servers host a variety of applications and services, such as database services, Web services, etc., and support functions such as concurrent request processing, data backup and recovery, etc.

[0071] Power supply guarantee: The server (UPS) continuously monitors the power status and immediately switches to uninterruptible power supply when a power outage is detected, ensuring that critical business is not affected.

[0072] Data storage and optimization: The disk array uses redundancy technology to protect the security of massive germplasm resource data, and adjusts data distribution according to access frequency to improve retrieval efficiency.

[0073] Build an internal LAN: The Gigabit router is responsible for building an internal LAN, connecting different subnet segments, supporting high-speed data exchange, reducing latency, and providing basic security protection measures.

[0074] Server switch as a connection hub: Server switch serves as the connection center between multiple servers and other network devices, supporting VLAN division and flow control to prevent network congestion and ensure efficient data transmission.

[0075] Wireless AP extends coverage: Wireless access points (APs) extend the coverage of wireless networks, allowing mobile devices to move freely within the warehouse while maintaining a stable connection. They are compatible with multiple wireless standards and support roaming functions.

[0076] In a large seed library, the network transmission and management modules ensure the efficient and stable operation of the entire system. As the core computing resource, the server hosts key applications such as database services and Web services, and supports concurrent request processing, data backup and recovery functions. For example, when the administrator initiates a large number of query requests through the Web interface, the server can respond quickly and provide the required information, while automatically backing up data regularly to prevent data loss. The server (UPS) continuously monitors the power status. In the event of an unexpected power outage, the system immediately switches to an uninterruptible power supply, ensuring the continuity of key business and avoiding operation interruptions caused by power outages.

[0077] In order to optimize data storage and retrieval efficiency, the disk array uses redundancy technology to protect the security of massive germplasm resource data, and adjusts data distribution according to access frequency, significantly improving data retrieval speed. Gigabit routers build internal LANs, connect different subnet segments, support high-speed data exchange, reduce latency, and provide basic security protection measures. In addition, wireless access points (APs) expand the coverage of wireless networks, allowing staff to maintain a stable connection while using mobile devices to move freely in the warehouse, support multiple wireless standards and achieve seamless roaming, greatly improving work efficiency and flexibility.

[0078] S130, IoT connection module, automatic precision weighing equipment measures the weight of seeds before they are put into storage, and combines with a barcode scanner to identify the seed identity information and upload it to the host computer network management module; the digital seed testing machine performs detailed phenotypic characteristic detection on the seeds; the ultra-drying cabinet is used for long-term storage of special types of seeds, and has integrated temperature and humidity control; the ultra-low temperature freezing equipment provides extremely low temperature conditions; the scanner quickly reads the information on the label and supports multiple encoding formats; the label printer prints labels containing detailed seed information.

[0079] Among them, the execution process of the Internet of Things connection module specifically includes:

[0080] Automatic precision weighing equipment: Before seeds are put into storage, the automatic precision weighing equipment measures the weight of each seed bottle and uses a barcode scanner to identify the seed identity information to ensure that the sample meets the preset quality standards before uploading it to the host computer network management module.

[0081] Digital seed testing machine: performs detailed phenotypic characteristic testing on seeds, records morphological parameters, and synchronizes the results to the database for subsequent research and analysis.

[0082] Ultra-dry cabinet: provides a low humidity environment for long-term storage of special types of seeds, and integrates a temperature and humidity control system that allows remote monitoring and adjustment to ensure that the seeds are in optimal storage conditions.

[0083] Ultra-low temperature freezing equipment: provides extremely low temperature conditions for temperature-sensitive seed samples. It can also be incorporated into the Internet of Things system for remote management to ensure the safe storage of these precious resources.

[0084] Scanner: quickly reads information on labels, simplifies the warehousing and outbound processes, supports multiple encoding formats with high recognition accuracy, and can directly transmit data to the server to improve work efficiency.

[0085] Label printer: Prints labels containing detailed seed information and attaches them to containers for easy search and management. It supports custom template design and receives printing instructions via the network to ensure that the information is accurate.

[0086] Mobile tablet: As a portable terminal, it assists staff in on-site operations, such as checking inventory lists and updating records. It supports Wi-Fi or Bluetooth to interact with other devices to improve work efficiency.

[0087] In a modern seed bank, when a new batch of soybean seeds enters the warehouse, the automatic precision weighing equipment first measures the weight of each seed bottle, and combines it with a barcode scanner to identify the identity information of the seeds to ensure that each sample meets the preset quality standards. Subsequently, the digital seed testing machine performs detailed phenotypic characteristic detection on the seeds, records morphological parameters and synchronizes them to the database, providing valuable data for subsequent research. Ultra-dry cabinets and ultra-low temperature freezing equipment provide optimal storage conditions for different types of seeds, and the integrated temperature and humidity control system supports remote monitoring and adjustment to ensure long-term safe storage of seeds.

[0088] The staff uses a scanner to quickly read the information on the label, which simplifies the warehousing process and transmits the data directly to the server, improving work efficiency. The label printer prints labels containing detailed information about the seeds as needed and attaches them to the container for easy search and management. Mobile tablets serve as portable terminals to assist staff in on-site operations, such as viewing inventory lists, updating records, etc., and seamlessly interact with other devices via Wi-Fi or Bluetooth, further improving overall work efficiency and accuracy.

[0089] S150, a real-time data collection and monitoring module, regularly samples and collects temperature, humidity, and door switch status, and uploads them to the cloud or local server for analysis. If any abnormality occurs, an alarm is triggered to notify relevant personnel.

[0090] The execution process of the real-time acquisition and monitoring module specifically includes:

[0091] Regular sampling and collection of environmental parameters: Regular sampling and collection of important indicators such as temperature, humidity, door switch status, etc. to ensure that environmental conditions are always within the ideal range.

[0092] Data upload and analysis: Upload the collected data to the cloud or local server for in-depth analysis, and use big data technology and artificial intelligence algorithms to mine valuable information.

[0093] Warning of abnormal situations: If an abnormal situation occurs, the system will trigger the alarm mechanism and immediately notify relevant personnel to take action to ensure that the problem is resolved in a timely manner.

[0094] Remote configuration management: allows administrators to remotely adjust sampling frequency, threshold settings and other parameters without on-site operation, improving management flexibility.

[0095] Intelligent early warning unit: Based on long-term data series analysis, it predicts the occurrence of potential problems, formulates response strategies in advance, and reduces the occurrence of failures.

[0096] Different levels of alarm settings: Set different levels of alarms according to different types of abnormal situations to ensure that key issues are handled first and improve response speed.

[0097] Automatically adjust temperature and humidity control parameters: Automatically adjust temperature and humidity control parameters according to seasonal changes or special climatic conditions to maintain the optimal storage environment and ensure seed quality.

[0098] In a large seed bank, the real-time collection and monitoring module ensures the stability of environmental conditions and the safe storage of seeds. The system regularly samples and collects key environmental parameters such as temperature, humidity, and door switch status, and uploads the data to the cloud server for in-depth analysis. For example, during a routine monitoring, the system detected that the humidity in a storage area slightly exceeded the set range, and immediately triggered the alarm mechanism to notify the administrator to take measures. Through the long-term series data analysis of the intelligent early warning unit, the system also predicted the impact of the upcoming seasonal changes on temperature and humidity, and automatically adjusted the control parameters in advance to maintain the optimal storage environment.

[0099] In addition, administrators can configure and manage remotely and flexibly adjust sampling frequency and threshold settings without having to visit the site in person, greatly improving management efficiency and flexibility. Different levels of alarm settings ensure that all types of abnormal situations can be responded to in a timely and appropriate manner, especially for those key issues that may seriously affect seed quality. The system prioritizes and quickly resolves them, effectively ensuring the long-term stable operation of the seed bank.

[0100] In an embodiment of the present application, the host computer network management module also includes: connecting with other management systems through an API interface, generating visual reports based on historical data analysis; and supporting multi-user authority management.

[0101] The execution process of connecting with other management systems through the API interface specifically includes:

[0102] API interface design and implementation: The development team defined a set of RESTful APIs based on requirements. These APIs cover all necessary functions, such as receiving task instructions, generating job plans, status feedback, etc. Each API has detailed documentation, including request methods (GET, POST, etc.), URL paths, request parameters, and return value formats, to ensure that external systems can be easily integrated.

[0103] Security authentication mechanism: To ensure the security of data transmission, the API interface adopts OAuth2.0 or similar authentication protocols to ensure that only authorized applications and services can access the seed library management system; additional authentication steps, such as two-factor authentication (2FA), are set for sensitive operations (such as modifying inventory information) to enhance security.

[0104] Data synchronization and interaction: When other management systems send requests through the API, the host computer network management module will parse the request content and convert it into task instructions that can be processed internally; the system will package the processing results into data packets in JSON or XML format and return them to the caller through the API, realizing two-way data synchronization and real-time interaction.

[0105] The execution process of generating visual reports based on historical data analysis specifically includes:

[0106] Data collection and preprocessing: The system regularly extracts multi-dimensional information such as historical operation records, inventory changes, and environmental monitoring data from the database; cleans and preprocesses the raw data to remove outliers and redundant information to ensure that the data set used for analysis is high-quality and representative.

[0107] Data analysis and modeling: Apply statistical methods and machine learning algorithms to conduct in-depth analysis of historical data to identify potential patterns and trends, such as inventory turnover, common types of failures and their frequency of occurrence, etc.; build predictive models to help management foresee possible problems or opportunities in the future.

[0108] Report generation and presentation: Generate various types of visual reports based on the analysis results, such as bar charts, line charts, heat maps, etc., to intuitively present key indicators and development trends; reports can be viewed directly through the Web interface, and can also be exported to PDF, Excel and other formats for offline analysis.

[0109] Provide decision support: Visual reports provide management with an intuitive data view, helping them better understand the current operating status and make scientific and reasonable business decisions based on the data; through the forward-looking information provided by the predictive model, management can plan resource allocation and response strategies in advance to optimize overall operational efficiency.

[0110] The execution process of supporting multi-user rights management specifically includes:

[0111] User role definition: Administrators can create multiple user roles based on the needs of different departments or positions. Each role has specific operating permissions, such as read-only, edit, delete, etc. User roles can be subdivided into different types such as administrators, operators, auditors, etc. to ensure that permission allocation complies with the principle of least privilege.

[0112] Permission configuration and management: When a user registers or creates a new account, the administrator can select the corresponding role template to quickly grant the user the required permissions; the system provides a flexible permission configuration tool that allows administrators to adjust the user's permission settings based on actual conditions, such as limiting the time period for certain operations or access rights to specific areas.

[0113] Logging and audit tracking: All user behaviors will be automatically recorded by the system to form a detailed operation log; log data can be used for audit tracking to help managers understand who performed what operations and when, facilitating problem troubleshooting and responsibility identification.

[0114] In the seed bank of a large agricultural research institute, the host computer network management module achieves seamless connection with the institution's ERP system through the API interface. Whenever researchers need to collect specific types of seeds from the seed bank, the ERP system will send a request through the API. After receiving the task instruction, the host computer automatically generates a work plan and sends the specific operation command to the lower computer robot operation module. After the robot completes the seed collection operation, the status feedback information is returned to the ERP system in real time through the API, ensuring data synchronization and process automation. This integration reduces manual intervention, improves work efficiency, and ensures data consistency and accuracy.

[0115] In addition, in order to optimize inventory management and resource allocation, the seed bank uses historical data analysis to generate visual reports. The system regularly extracts multi-dimensional data such as inventory changes and environmental monitoring. After cleaning and preprocessing, it uses machine learning algorithms to analyze inventory turnover and common failure modes. Based on these analysis results, management can view intuitive bar charts and line charts through the web interface to understand the operation status of the seed bank and use predictive models to plan future resource needs in advance. For example, in one analysis, it was found that the demand for a certain type of seed would increase significantly in the next quarter. Management adjusted the procurement plan accordingly to ensure sufficient inventory and avoid waste.

[0116] Finally, the seed bank has implemented a strict multi-user permission management system. Administrators have created multiple user roles based on different positions. For example, ordinary researchers can only perform query operations, while senior managers have editing and deletion permissions. All user behaviors are automatically recorded by the system, forming a detailed operation log for easy audit tracking. This mechanism not only enhances the security of the system, but also simplifies the user management process and improves overall management efficiency. For example, in an internal review, a certain abnormal operation problem was quickly located and resolved through log records, ensuring the stable operation of the system.

[0117] In the process of controlling the robot to move to the specified position, the lower-level robot operation module also includes: an automatic path planning algorithm that enables the robot to avoid obstacles and choose the optimal path to reach the target position; recording the time, location, operator and results of each operation; and an emergency stop mechanism that immediately stops all activities in the event of an emergency.

[0118] Among them, the detailed execution process of controlling the robot to move to the specified position:

[0119] The system first uses sensors such as lidar and cameras to obtain a three-dimensional model of the seed vault's internal environment, including the locations of walls, shelves and other fixed or dynamic obstacles. This information is updated in real time to the robot's internal map to ensure that it has the latest understanding of its surroundings.

[0120] When receiving the task instructions sent by the upper computer, the lower computer parses the target position coordinates, and combined with the current position of the robot, uses an automatic path planning algorithm (such as the Dijkstra algorithm, etc.) to calculate the optimal path from the current position to the target position; path planning takes into account multiple factors, such as the shortest distance, the least number of turns, avoiding known obstacles, and predicting the movement trajectories of other robots or personnel, in order to select the safest and most efficient path.

[0121] As the robot moves along a predetermined path, it continuously scans the surrounding environment and uses sensor data to detect new obstacles that may appear (such as temporarily placed objects or walking people); if an obstacle is detected ahead, the robot immediately stops moving and recalculates the detour path to ensure that it can safely reach the target location.

[0122] The execution process of recording the time, location, operator and results of each operation:

[0123] Before each mission begins, the system creates a new operation log entry, recording the timestamp of the mission start, the target location coordinates, and the operator responsible for the mission (identifiable by user login information or RFID tag); as the mission progresses, the robot will continuously update the log content, adding details such as key nodes passed along the way and dwell time.

[0124] After completing the task, the robot will feedback the final status (such as successful completion, encountered problems, etc.) to the host computer and upload the complete operation log to the server for archiving. The log data can be used for subsequent audit tracking, performance evaluation and fault diagnosis, helping managers understand the specific situation of each step of the operation.

[0125] The execution process of the emergency stop mechanism:

[0126] The system has built-in multi-layer safety monitoring mechanisms, including physical buttons (installed on the robot body and key areas), software monitoring (detecting abnormal behavior or sensor failure) and external signals (such as fire alarm system triggering); once any situation that may threaten the safety of the robot itself or other objects is detected, the emergency stop mechanism will be activated.

[0127] Once activated, all running motors and actuators will be powered off immediately to ensure that the robot is completely still. At the same time, the system will send an alarm notification to the operator and record the event details; after confirming that the safety hazard has been eliminated, the administrator can restart the robot through a specific command or manual reset button to continue the unfinished task.

[0128] In a modern seed bank, when the administrator issues a task instruction through the upper computer network management module, requiring the robot to store a new batch of corn seeds in a designated location, the lower computer first uses the lidar and camera to obtain the latest three-dimensional model of the environment and updates it to the robot's internal map. Then, the robot uses an automatic path planning algorithm to calculate the optimal path from the current location to the target storage point, taking into account the shortest distance, the least number of turns, and avoiding other working robots. During the movement, the robot continuously scans the surrounding environment, and immediately stops moving and recalculates the detour path after detecting temporarily placed tools to ensure safe arrival at the destination. The entire operation process is recorded in detail, including the time, location, operator and final result, and these log data are uploaded to the server for subsequent audit and evaluation.

[0129] In addition, during a routine operation, the robot suddenly detected an unexpected obstacle ahead (such as a worker accidentally entering its path). The emergency stop mechanism was quickly activated, all motors were immediately powered off, the robot came to a complete stop, and the system sent an alarm notification to the operator. After the administrator confirmed that the site was safe, he pressed the reset button to restore the robot to normal working state and continue to complete the unfinished task. This mechanism effectively ensures the safety of equipment and personnel, reduces potential risks, and ensures the reliability and continuity of seed bank operations.

[0130] In an embodiment of the present application, the IoT connection module also includes: a server switch, which serves as a connection hub between multiple servers and other network devices and supports VLAN division and traffic control.

[0131] The detailed implementation process of the connection hub between multiple servers and other network devices includes:

[0132] Physical connection and configuration: Server switches are connected to multiple servers, storage devices, routers, and other necessary network components through high-speed Ethernet ports (such as 10Gbps or higher); each connection is carefully planned and wired to ensure the stability and redundancy of the physical link to prevent single point failures from affecting the entire network.

[0133] Virtual Local Area Network (VLAN) division: Administrators create multiple VLANs on the switch based on business needs to separate different types of traffic. For example, independent VLANs can be set up for management traffic, data transmission traffic, and service access traffic. VLAN division not only improves security, but also simplifies network management and maintenance because each VLAN can have its own security policies and access control rules.

[0134] Traffic control and priority management: The switch has a built-in advanced traffic control mechanism that can monitor and adjust the data flow rate of each port in real time to avoid network congestion; it supports traffic priority management based on the 802.1p / QoS (Quality of Service) standard to ensure that key applications (such as real-time surveillance video, automation control systems, etc.) obtain sufficient bandwidth resources, while secondary applications are appropriately restricted.

[0135] The server switch ensures efficient communication between all network devices, reduces delays and packet loss, and improves overall network performance; VLAN division and traffic control functions make the network more secure and controllable, and administrators can flexibly configure the network environment as needed, enhancing management flexibility and convenience.

[0136] The detailed implementation process of supporting VLAN division includes:

[0137] VLAN definition and allocation: The administrator defines different VLAN IDs through the switch management interface and assigns them to corresponding physical ports or logical interfaces; each VLAN is equivalent to an independent broadcast domain, and only devices belonging to the same VLAN can communicate directly. Devices in other VLANs cannot be directly accessed unless through a routing device.

[0138] VLAN extension across switches: In a large network environment, multiple switches may participate in the construction of the same VLAN. At this time, the administrator will enable Trunk mode on the backbone link to allow multiple VLAN tagged frames to pass through, thereby achieving VLAN extension across switches; this method ensures that VLAN consistency and connectivity can be maintained even in complex network topologies.

[0139] Communication and isolation between VLANs: By default, communication between different VLANs is isolated, but if mutual access between certain VLANs is required, routing and forwarding can be performed through a three-layer switch or an external router; this ensures the necessary communication needs while maintaining the security and independence within each VLAN.

[0140] VLAN division effectively isolates network traffic between different businesses or departments, reduces potential security risks, and facilitates the implementation of more fine-grained security policies; by reasonably dividing VLANs, network resources can be better organized, unnecessary broadcast storms and resource waste can be avoided, and the overall efficiency of the network can be improved.

[0141] The execution process of flow control:

[0142] Traffic monitoring and analysis: The switch has a built-in powerful traffic monitoring tool that can capture and analyze data packet information in and out of each port in real time, including source / destination IP address, protocol type, traffic size, etc.; this data can help administrators understand the current network usage and discover abnormal traffic patterns or potential problems.

[0143] Bandwidth limitation and QoS configuration: Based on the monitoring results, the administrator can configure bandwidth limitation policies on the switch and set the maximum allowed bandwidth for specific IP addresses, MAC addresses or applications to prevent individual users or applications from occupying too many resources. At the same time, the QoS function is enabled to mark and prioritize important traffic to ensure that key services (such as video conferencing and real-time data collection) always have priority and their performance is not affected by other low-priority traffic.

[0144] Dynamic adjustment and automatic response: Some high-end switches support intelligent traffic control functions, which can automatically adjust traffic distribution when network congestion is detected, and even trigger preset actions (such as sending an alarm to notify the administrator) to quickly resolve the problem.

[0145] The flow control mechanism ensures that critical applications always have sufficient bandwidth resources and provides stable and reliable service quality, which is especially important for delay-sensitive applications. Through reasonable traffic management and priority setting, the existing network resources are maximized, bandwidth waste and unnecessary contention are avoided, and the overall efficiency of the network is improved.

[0146] In a large seed library, the server switch serves as a connection hub between multiple servers and other network devices, ensuring efficient and stable communication. For example, during a large-scale seed storage operation, the administrator defined and assigned multiple VLAN IDs through the switch's management interface to isolate management traffic, data transmission traffic, and service access traffic in separate VLANs. This not only improves security, but also simplifies network management and maintenance. When the robot performs access tasks, the VLAN where the real-time surveillance video and automation control system are located is guaranteed priority bandwidth, ensuring the smooth progress of key operations and maintaining low latency and high reliability even during peak network loads.

[0147] In addition, in daily operations, the switch's built-in traffic monitoring tool continuously captures and analyzes data packet information in and out of each port. Once an abnormal traffic pattern or potential problem is detected, such as a certain IP address suddenly occupying a large amount of bandwidth, the administrator can quickly configure bandwidth limitation policies to prevent resource occupation and enable QoS functions to ensure that key services are not affected. This intelligent traffic control mechanism effectively guarantees network performance, allowing the seed library to always maintain efficient and stable operation in a complex and changing operating environment.

[0148] In a modern large-scale seed vault, multiple technical solutions are integrated, including the upper computer network management module, the lower computer robot operation module, the Internet of Things connection module, and the real-time collection and monitoring module, to achieve highly automated and intelligent seed vault storage and management.

[0149] The following is a case study based on the above technical solution. Case background

[0150] An agricultural research institute needed to efficiently manage its huge seed bank to ensure safe storage and convenient access to various crop seeds. The institute introduced an advanced management system that covers technical solutions for multiple links, including mission instruction reception, path planning, data transmission, and environmental monitoring.

[0151] The specific operation process is as follows:

[0152] Receiving and parsing task instructions: The administrator inputs a request for a new batch of rice seeds to be stored through the graphical user interface (GUI), and specifies the specific quantity and variety information. After receiving the task instructions, the upper computer network management module automatically parses and generates a detailed operation plan, determines the optimal storage location, and converts the plan into a specific command format suitable for the automated robot and sends it to the lower computer robot operation module.

[0153] Robot movement and operation: After receiving the command, the lower computer parses the specific robot movement path and other control parameters. The robot uses the built-in laser radar and visual sensor to accurately locate the target position, monitors the surrounding environment in real time during movement, selects the optimal path to move forward, and avoids collisions with obstacles. After arriving at the designated location, the robot performs storage and retrieval operations, such as grabbing or placing a seed bottle, and feeds back the operation status to the upper computer in real time to ensure that the operation is transparent and traceable. After completing the task, the robot returns to the origin and waits for the next task.

[0154] IoT connection and data synchronization: The server switch serves as a connection hub between multiple servers and other network devices. It is connected to various components through high-speed Ethernet ports to ensure the stability and redundancy of the physical link. Administrators create multiple VLANs based on business needs to separate different types of traffic, improve security and simplify management. Automatic precision weighing equipment measures the weight of seeds before they are put into storage, and uses a barcode scanner to identify the seed identity information and upload it to the host computer network management module. The digital seed testing machine performs detailed phenotypic feature detection on the seeds, records morphological parameters and synchronizes them to the database. Ultra-dry cabinets and ultra-low temperature freezing equipment provide optimal storage conditions, and the integrated temperature and humidity control system supports remote monitoring and adjustment.

[0155] Real-time monitoring and exception handling: The real-time acquisition and monitoring module regularly samples and collects environmental parameters such as temperature, humidity, and door switch status, and uploads them to the cloud or local server for in-depth analysis. If an abnormal situation occurs, the system will trigger an alarm mechanism and immediately notify relevant personnel to take action to ensure that the problem is solved in a timely manner. The system has a built-in intelligent early warning unit that predicts the occurrence of potential problems based on long-term series data analysis, formulates response strategies in advance, and reduces the occurrence of failures. Different levels of alarm settings ensure that key issues are handled first and improve response speed. At the same time, the system can automatically adjust the temperature and humidity control parameters according to seasonal changes or special climatic conditions to maintain the optimal storage environment.

[0156] Multi-user rights management and report generation: Administrators can create multiple user roles according to the needs of different departments or positions. Each role has specific operation permissions, such as read-only, edit, delete, etc. All user actions are automatically recorded by the system to form a detailed operation log for easy audit tracking.

[0157] Generate visual reports based on historical data analysis to help management intuitively understand the current operating status and make scientific and reasonable business decisions based on data. With the forward-looking information provided by the forecasting model, management can plan resource allocation and response strategies in advance to optimize overall operational efficiency.

[0158] The present application embodiment discloses a seed bank management system, referring to Figure 2 ,include:

[0159] The upper computer network management module 200 receives the task instructions input by the administrator through the graphical user interface. The task instructions include storage request and outbound request. It is used to analyze the task requirements and query the database to determine the optimal storage location, generate a specific operation plan, and notify the relevant personnel of the operation results. The operation plan is sent to the lower computer robot operation module, which is parsed into specific action commands for the automated robot by the lower computer robot operation module.

[0160] The lower computer robot operation module 210 is used to control the robot to move to a specified position, complete the storage and retrieval operation of the seed bottles in the seed bank, and provide real-time feedback of the operation status to the upper computer network management module;

[0161] Network transmission and management module 220, the server runs various applications and services, handles concurrent requests, performs data backup and recovery, and the server (UPS) automatically switches to an uninterruptible power supply when a city power outage is detected; the disk array uses redundancy technology to save massive germplasm resource data and optimizes data distribution according to access frequency; the gigabit router builds an internal LAN;

[0162] Internet of Things connection module 230, automatic precision weighing equipment measures the weight of seeds before they are put into storage, and combines with a barcode scanner to identify the seed identity information and upload it to the upper computer network management module; the digital seed testing machine performs detailed phenotypic characteristic detection on seeds; the ultra-drying cabinet is used to store special types of seeds for a long time, and has integrated temperature and humidity control; the ultra-low temperature freezing equipment provides extremely low temperature conditions; the scanner quickly reads the information on the label and supports multiple encoding formats; the label printer prints labels containing detailed information on the seeds;

[0163] The real-time collection and monitoring module 240 collects temperature, humidity, and door switch status through regular sampling, and uploads them to the cloud or local server for analysis. If an abnormality occurs, an alarm is triggered to notify relevant personnel.

[0164] An embodiment of the present application further discloses a seed bank management method, comprising a processor, wherein a program of any one of the seed bank management methods described above is run in the processor.

[0165] The embodiment of the present application also discloses a storage medium storing a program of the seed bank management method described in any one of the above.

[0166] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A seed bank management method, characterized in that: include: The upper computer network management module receives the task instructions input by the administrator through the graphical user interface. The task instructions include storage requests and outbound requests. It is used to analyze the task requirements and query the database to determine the optimal storage location, generate a specific operation plan, and notify the relevant personnel of the operation results. The operation plan is sent to the lower computer robot operation module, which is parsed into specific action commands for the automated robot. The lower computer robot operation module is used to control the robot to move to the specified position, complete the storage and retrieval operations of the seed bottles in the seed library, and provide real-time feedback of the operation status to the upper computer network management module; Network transmission and management module, the server runs various applications and services, handles concurrent requests, performs data backup and recovery, and the server (UPS) automatically switches to an uninterruptible power supply when a power outage is detected; the disk array uses redundancy technology to store massive germplasm resource data and optimizes data distribution based on access frequency; Gigabit routers build internal LANs; The IoT connection module uses an automatic precision weighing device to measure the weight of seeds before they are put into storage, and uses a barcode scanner to identify the seed identity information before uploading it to the host computer network management module. The digital seed testing machine performs detailed phenotypic characteristic testing on seeds. The ultra-drying cabinet is used to store special types of seeds for a long time, and has integrated temperature and humidity control. The ultra-low temperature freezing equipment provides extremely low temperature conditions. The scanner quickly reads the information on the label and supports multiple encoding formats. The label printer prints labels containing detailed seed information. The real-time data collection and monitoring module collects temperature, humidity, and door switch status at regular intervals and uploads them to the cloud or local server for analysis. If any abnormality occurs, an alarm is triggered to notify relevant personnel.

2. The seed bank management method according to claim 1, characterized in that: The host computer network management module also includes: Connect with other management systems through API interface, generate visual reports based on historical data analysis; support multi-user permission management.

3. The seed bank management method according to claim 1, characterized in that: The lower robot operation module also includes: Automatic path planning algorithm enables the robot to avoid obstacles and choose the best path to reach the target location; record the time, location, operator and results of each operation; emergency stop mechanism immediately stops all activities in the event of an emergency.

4. The seed bank management method according to claim 1, characterized in that: The Internet of Things connection module also includes: Server switches serve as the connection hub between multiple servers and other network devices, supporting VLAN division and traffic control.

5. The seed bank management method according to claim 1, characterized in that: The Internet of Things connection module also includes: Mobile tablet computers serve as portable terminals to assist staff in on-site operations; intelligent early warning units predict the occurrence of potential problems based on big data analysis.

6. The seed bank management method according to claim 1, characterized in that: The real-time acquisition and monitoring module also includes: Remote configuration management allows administrators to remotely adjust sampling frequency and threshold settings; analyze environmental change trends through long-term series data.

7. The seed bank management method according to claim 1, characterized in that: The real-time acquisition and monitoring module also includes: Set different levels of alarms according to different types of abnormal situations, and automatically adjust temperature and humidity control parameters according to seasonal changes or special climate conditions.

8. A seed bank management system, characterized in that: include: The upper computer network management module receives the task instructions input by the administrator through the graphical user interface. The task instructions include storage requests and outbound requests. It is used to analyze the task requirements and query the database to determine the optimal storage location, generate a specific operation plan, and notify the relevant personnel of the operation results. The operation plan is sent to the lower computer robot operation module, which is parsed into specific action commands for the automated robot. The lower computer robot operation module is used to control the robot to move to the specified position, complete the storage and retrieval operations of the seed bottles in the seed library, and provide real-time feedback of the operation status to the upper computer network management module; Network transmission and management module, the server runs various applications and services, handles concurrent requests, performs data backup and recovery, and the server (UPS) automatically switches to an uninterruptible power supply when a power outage is detected; the disk array uses redundancy technology to store massive germplasm resource data and optimizes data distribution based on access frequency; Gigabit routers build internal LANs; The IoT connection module uses an automatic precision weighing device to measure the weight of seeds before they are put into storage, and uses a barcode scanner to identify the seed identity information before uploading it to the host computer network management module. The digital seed testing machine performs detailed phenotypic characteristic testing on seeds. The ultra-drying cabinet is used to store special types of seeds for a long time, and has integrated temperature and humidity control. The ultra-low temperature freezing equipment provides extremely low temperature conditions. The scanner quickly reads the information on the label and supports multiple encoding formats. The label printer prints labels containing detailed seed information. The real-time data collection and monitoring module collects temperature, humidity, and door switch status at regular intervals and uploads them to the cloud or local server for analysis. If any abnormality occurs, an alarm is triggered to notify relevant personnel.

9. A seed bank management method, characterized in that: The method comprises a processor, wherein a program of the seed bank management method according to any one of claims 1 to 7 is run in the processor.

10. A storage medium, characterized in that: A program storing the seed bank management method according to any one of claims 1 to 7 is stored.

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