A multimodal management and scheduling method and system for marine observation equipment

Abstract

The present invention discloses a multimodal management and scheduling method and system for marine observation equipment. The scheduling method includes: setting basic information of the equipment through a user terminal and obtaining the current location data of the equipment; the terminal regularly uploads the basic information and current location data to a cloud management platform; based on the cloud management platform, obtaining the association between the equipment and the project, and calculating statistical parameters; based on the statistical parameters, historical equipment circulation and usage records, combined with new project requirements, screening qualified equipment to obtain new project screening results; scheduling equipment according to the new project screening results, and simultaneously updating the equipment circulation and usage records. The present invention realizes a multifunctional management system for real-time updating of equipment status, circulation tracking, cross-project collaborative scheduling, and multi-platform interconnection, overcoming the shortcomings of the existing technology in terms of dynamism, transparency, and scalability.

Description

Technical Field

[0001] The present invention belongs to the technical field of equipment management, and in particular relates to a multimodal management and scheduling method and system for ocean observation equipment. Background Art

[0002] Existing management systems are mostly used in terrestrial or fixed environments. Designed primarily for registering and managing static assets, they offer relatively simple functions and rely on manual data entry by managers. While fixed asset management systems focus on registering and classifying assets, they are inadequate for recording the movement of marine observation equipment, providing real-time status updates, and tracking maintenance. Due to their lack of dynamic recording and real-time feedback, these systems fail to provide timely visibility into equipment usage, making them incapable of meeting the frequent deployment and real-time management requirements of marine operations.

[0003] Furthermore, existing management systems are complex to operate, relying primarily on traditional document and spreadsheet-based record-keeping. This approach is not only inefficient but also prone to errors and loss of information due to human oversight. More importantly, device status information is typically only accessible and updated by administrators, requiring other users to frequently request it, resulting in poor transparency. This inability to quickly query and update data severely hinders the collaborative management and efficient use of devices.

[0004] Poor compatibility is another prominent issue with existing systems. Because these systems are mostly designed independently, they cannot seamlessly connect with other observation platforms or equipment management systems, resulting in data silos. This isolated system structure limits data sharing and collaborative operations between different platforms. This is particularly true for multi-task, multi-device ocean observations, making unified cross-platform management and scheduling difficult, further exacerbating resource waste and conflicts.

[0005] The unique nature of the marine operating environment further exacerbates these problems. For example, the space on board ship operating platforms is small and time is limited, so equipment deployment often requires flexible adjustments, making it difficult to strictly follow a predetermined plan. Furthermore, network limitations at offshore workstations, such as a lack of stable network connections or significant communication delays, further exacerbate management difficulties. Updating the status of marine equipment relies on efficient data transmission and processing capabilities, but existing systems struggle to function in marine environments, resulting in delayed equipment status updates and impacting the efficiency of collaborative operations.

[0006] The root cause of these problems lies in the fact that existing management systems fail to fully consider the dynamic nature of marine operations, the frequency of equipment use, and the unique demands placed on management systems by complex environments. However, the static recording model, insufficient real-time performance, and lack of collaborative deployment capabilities of existing equipment management systems make it difficult to meet the complex management requirements of the current multi-task environment of ocean observation. To adapt to this complex scenario, it is urgent to develop a multimodal management and scheduling method and system for marine observation equipment. Summary of the Invention

[0007] To solve the above technical problems, the present invention proposes a multimodal management and scheduling method and system for marine observation equipment, which fundamentally improves the efficiency of equipment status management and flow tracking, optimizes resource allocation, and meets the diverse needs of modern marine scientific research.

[0008] The present invention provides a multimodal management and scheduling method for ocean observation equipment, comprising:

[0009] Set the basic information of the device through the user terminal and obtain the current location data of the device;

[0010] The terminal regularly uploads the basic information and current location data to the cloud management platform;

[0011] Based on the cloud management platform, obtain the association between devices and projects and calculate statistical parameters;

[0012] Based on the statistical parameters, historical equipment transfer and usage records, and new project requirements, eligible equipment is screened to obtain new project screening results;

[0013] The equipment is scheduled according to the new project screening result, and the equipment transfer and usage records are updated.

[0014] Optionally, before setting basic information of the device, the following steps may be included: initializing the terminal module;

[0015] Initializing the terminal module includes initializing the positioning module, communication module and storage module, wherein:

[0016] The positioning module is used to detect and select the current best positioning mode through the built-in multi-modal positioning system;

[0017] The communication module is used to automatically detect the network environment, give priority to activating the 4G channel, and automatically switch to satellite communication when the signal coverage is insufficient, so as to achieve seamless data transmission around the world;

[0018] The storage module is used to verify and load basic information of the device to provide accurate support for subsequent data operations.

[0019] Optionally, the basic information includes: category, serial number, purchase date, funding source and various performance parameters.

[0020] Optionally, calculating the statistical parameter includes:

[0021] Calculate the stability rate of the current meter:

[0022]

[0023] Among them, SR adcp Indicates the stability rate of adcp, ts i Indicates the time when the i-th device stops working, tb i Indicates the time when the device starts working, tr i Indicates the time it takes for the equipment to be salvaged from the seabed, td i Indicates the time when the equipment was deployed into the sea;

[0024] Calculate the mean standard deviation of the CTD device salinity drift:

[0025]

[0026] Among them, S k,i is the salinity value measured by the kth device for the i-th time, Sref k,i is the salinity reference value measured by the kth device for the i-th time, m is the total number of devices, and n is the number of measurements for each device;

[0027] Calculate the mean standard deviation of the CTD device temperature drift:

[0028]

[0029] Among them, T k,i is the temperature value measured by the kth device for the i-th time, Tref k,i is the temperature reference value of the kth device measured for the i-th time, m is the total number of devices, and n is the number of measurements for each device;

[0030] Calculate the mean depth response rate of the acoustic releaser:

[0031]

[0032] Among them, MDRR i represents the mean response rate in the i-th depth interval, m k,i Indicates the total number of calls made by the kth device in the i-th depth interval, n k,i It represents the total number of responses of the kth device in the i-th depth interval, and t is the total number of acoustic releasers.

[0033] Optionally, based on the statistical parameters, historical equipment transfer and usage records, and project requirements, eligible equipment may be selected, including:

[0034] Based on the updated statistical parameters, historical equipment transfer and usage records, and combined with project requirements, the optimized deployment model is used to screen out qualified equipment.

[0035] Optionally, the optimization deployment model includes: a deployment cost minimization optimization model and a comprehensive performance maximization optimization model;

[0036] The optimization model for minimizing deployment cost is:

[0037]

[0038] Among them, m and n are the total number of equipment and the total number of projects respectively, C ij 、R ij 、R ij represents the transportation cost, time cost, and maintenance cost of equipment i assigned to project j, w1, w2, and w3 represent the corresponding weight coefficients, and x ij To allocate decision variables;

[0039] The optimization model for maximizing comprehensive performance is:

[0040]

[0041] Among them, u1, u2, u3, and u4 represent the corresponding weight coefficients respectively.

[0042] Optionally, scheduling equipment according to the new project screening result and updating the equipment's transfer and usage records include:

[0043] According to the usage of the equipment in each project, the relevant operating parameters of the equipment are classified and calculated, and new scheduling allocation is made based on the calculation results. At the same time, the flow and usage records of the equipment are updated.

[0044] The present invention also provides a multi-modal management and scheduling system for ocean observation equipment, comprising: a data acquisition module, a data upload module and an equipment management module;

[0045] The data acquisition module is used to set basic information of the device and obtain current location data;

[0046] The data uploading module is used to upload the basic information and current location data to the cloud management platform;

[0047] The equipment management module is used to update the statistical parameters, circulation and usage records of the equipment, and screen the qualified equipment in combination with the project requirements.

[0048] Compared with the prior art, the present invention has the following advantages and technical effects:

[0049] The present invention realizes a multifunctional management system with real-time equipment status updates, flow tracking, cross-project collaborative scheduling, and multi-platform interconnection, overcoming the shortcomings of existing technologies in terms of dynamism, transparency, and scalability. The system achieves full coverage of indoor and outdoor scenes worldwide through the integrated application of distributed data synchronization mechanisms and multimodal adaptive communication technologies; through real-time data updates and traceability of usage records, it improves equipment management efficiency and transparency, supports dynamic scheduling of equipment for multiple projects and multiple tasks, effectively avoids usage conflicts, and optimizes resource allocation. The open interface realizes cross-platform compatibility, promotes data sharing and collaborative observation, and further expands the scope of application. The user-friendly interface and easy-to-operate functions reduce communication costs and maintenance costs, improve management efficiency, and have certain economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of this application. The exemplary embodiments and descriptions of this application are intended to explain this application and do not constitute an improper limitation on this application. In the accompanying drawings:

[0051] Figure 1 This is a flow chart of a multi-modal management and scheduling method for ocean observation equipment according to an embodiment of the present invention;

[0052] Figure 2 Schematic diagram of the system working mode of an embodiment of the present invention;

[0053] Figure 3 is a schematic diagram of a multimodal data transmission terminal according to an embodiment of the present invention;

[0054] Figure 4 This is a flowchart of the transmission terminal working process according to an embodiment of the present invention;

[0055] Figure 5 This is an architecture diagram of a cloud-based integrated device management platform according to an embodiment of the present invention;

[0056] Figure 6 It is a database design relationship diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0057] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0058] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0059] This embodiment aims to design an end-to-end full-link equipment tracking and management system, which realizes one-click information upload through the multimodal data transmission terminal carried by the equipment. Users can quickly upload the location information and operating status of the equipment to the cloud-based integrated equipment management platform, and administrators can achieve efficient management and deployment on the management platform, thereby meeting the equipment management needs in complex operating scenarios. The traditional equipment management mode is mainly based on static records, which makes it difficult to reflect the real-time status and flow process of the equipment. The present invention introduces a one-click information upload function and a real-time update mechanism, combined with advanced database architecture and visual interface design, to build a system that supports the full life cycle management of equipment. Users can not only update equipment information anytime and anywhere, but also track equipment flow records and maintenance status through an intuitive and friendly interface, thereby improving the efficiency and transparency of equipment management.

[0060] In response to the conflict problem of equipment resources in a multi-task parallel environment, the present invention provides multi-project and multi-station collaborative scheduling capabilities. Under the traditional independent management model, the competing demands for the same equipment between different task projects are often difficult to coordinate efficiently, which can easily lead to waste of resources or task delays. By building a unified equipment scheduling platform, the present invention comprehensively considers project requirements, real-time status of equipment and historical flow records to provide data support for dynamically adjusting equipment allocation plans. This support for collaborative scheduling can significantly improve equipment utilization efficiency, while effectively avoiding resource conflicts and ensuring that each task proceeds smoothly as planned.

[0061] To meet diverse ocean observation needs, this embodiment features a specially designed open interface that supports seamless integration with other ocean observation platforms and systems. Through standardized interface protocols, the system is compatible with various equipment deployment systems, enabling cross-platform data sharing and interoperability. This design not only enhances system scalability but also effectively breaks down data silos, providing a solid technical foundation for cross-platform collaboration and unified management.

[0062] In addition, the multimodal adaptive positioning and communication capabilities of this embodiment further enhance the device's applicability in complex environments worldwide. The system automatically detects the network environment, prioritizing low-cost 4G communications and automatically switching to satellite communications when 4G signals are unavailable, ensuring full coverage for both indoor and outdoor scenarios. To address operational challenges in harsh marine environments, the present invention also incorporates specialized device operation functions. Users only need to press a button to complete device recording, and an indicator light provides feedback on successful positioning, streamlining the operational process and improving recording accuracy and reliability.

[0063] This embodiment proposes a multi-modal management and scheduling method for ocean observation equipment, such as Figure 1 As shown, the specific steps include:

[0064] Set the basic information of the device through the user terminal and obtain the current location data of the device;

[0065] The terminal regularly uploads basic information and current location data to the cloud management platform;

[0066] Based on the cloud management platform, obtain the relationship between equipment and projects and calculate statistical parameters;

[0067] Based on statistical parameters, historical equipment transfer and usage records, and combined with new project requirements, eligible equipment is screened to obtain new project screening results;

[0068] Dispatch equipment based on new project screening results, and update equipment transfer and usage records.

[0069] Furthermore, before setting the basic information of the device, the process also includes: initializing the terminal module;

[0070] Initializing the terminal module includes initializing the positioning module, communication module and storage module, wherein:

[0071] Positioning module, used to detect and select the current best positioning mode through the built-in multi-modal positioning system;

[0072] The communication module is used to automatically detect the network environment, give priority to 4G channels, and automatically switch to satellite communication when signal coverage is insufficient, achieving seamless data transmission worldwide;

[0073] The storage module is used to verify and load basic device information to provide accurate support for subsequent data operations.

[0074] Specifically, upon startup, the multimodal data transmission terminal performs system-level initialization on all modules, including the positioning module, communication module, and storage module. The positioning module uses its built-in multimodal positioning system to detect and select the optimal positioning mode. The communication module automatically detects the network environment, prioritizing 4G channels and automatically switching to satellite communications if coverage is insufficient, enabling seamless global data transmission. The storage module verifies and loads basic device information, providing accurate support for subsequent data operations.

[0075] Furthermore, basic information includes: category, serial number, purchase date, funding source and various performance parameters.

[0076] Specifically, users use the terminal to set basic device information, including category, serial number, and various parameters, and store it in a separate device identification file. By pressing a function button on the terminal, the terminal acquires real-time location data, combines basic device information with operational status, and packages it into a standardized data format. This data is then uploaded to the cloud management platform database via the communication module.

[0077] Furthermore, calculating statistical parameters includes:

[0078] Calculate the stability rate of the current meter:

[0079]

[0080] Among them, SR adcp Indicates the stability rate of adcp, ts i Indicates the time when the i-th device stops working, tb i Indicates the time when the device starts working, tr i Indicates the time it takes for the equipment to be salvaged from the seabed, td i Indicates the time when the equipment was deployed into the sea;

[0081] Calculate the mean standard deviation of the CTD device salinity drift:

[0082]

[0083] Among them, S k,i is the salinity value measured by the kth device for the i-th time, Sref k,i is the salinity reference value measured by the kth device for the i-th time, m is the total number of devices, and n is the number of measurements for each device;

[0084] Calculate the mean standard deviation of the CTD device temperature drift:

[0085]

[0086] Among them, T k,i is the temperature value measured by the kth device for the i-th time, Tref k,i is the temperature reference value of the kth device measured for the i-th time, m is the total number of devices, and n is the number of measurements for each device;

[0087] Calculate the mean depth response rate of the acoustic releaser:

[0088]

[0089] Among them, MDRR i represents the mean response rate in the i-th depth interval, m k,i Indicates the total number of calls made by the kth device in the i-th depth interval, n k,iIt represents the total number of responses of the kth device in the i-th depth interval, and t is the total number of acoustic releasers.

[0090] Furthermore, based on statistical parameters, historical equipment transfer and usage records, and combined with project requirements, eligible equipment is screened, including:

[0091] Based on the updated statistical parameters, historical equipment transfer and usage records, and combined with project requirements, the optimized deployment model is used to screen out qualified equipment.

[0092] Specifically, after the new project requirements are put forward, the system will filter out the equipment that does not meet the index requirements through comprehensive screening of equipment type, technical performance and nominal parameters to ensure that the performance parameters P i Must meet the minimum standards set by the project i , that is, P i ≥T i , and further screening is conducted based on statistical parameters such as stability, drift characteristics, and depth response rate. In device allocation optimization, the cloud-based management platform utilizes mathematical models and optimization algorithms to provide users with efficient and scientific device allocation solutions. The system analyzes information in the device database, combines project requirements with device performance, and automatically selects devices that meet the requirements. It then optimizes the system based on minimizing costs and maximizing performance.

[0093] Minimize the deployment cost objective function:

[0094]

[0095] Where m and n are the total number of equipment and projects respectively, C ij 、P ij 、R ij represents the transportation cost, time cost, and maintenance cost of equipment i assigned to project j, w1, w2, and w3 represent the corresponding weight coefficients, and x ij To allocate decision variables and ensure the rationality of the allocation, the system introduces the following constraints:

[0096]

[0097] Maximize the comprehensive performance objective function:

[0098]

[0099] Among them SR ij 、T mdsd,ij 、S mdsd,ij , MDRR ij are the statistical parameter stability rate, the mean of the standard deviation of temperature and salinity drift, and the mean of the releaser depth response rate calculated in the previous step, respectively. u1, u2, u3, and u4 represent the corresponding weight coefficients.

[0100] Based on these two optimization objectives, an optimal deployment plan can be generated and an equipment list can be output for project use. Each device will be equipped with an independent multimodal data transmission terminal, which records the device's flow and operating status in real time and uploads it to the cloud through the terminal, providing complete device information for subsequent management.

[0101] Furthermore, the equipment is scheduled based on the new project screening results, and the equipment's transfer and usage records are updated, including:

[0102] According to the usage of the equipment in each project, the relevant operating parameters of the equipment are classified and calculated, and new scheduling allocations are made based on the calculation results. At the same time, the flow and usage records of the equipment are updated.

[0103] Specifically, after receiving the data packet uploaded by the terminal, the cloud management platform parses the device category, serial number, location, and status information. The administrator assigns tasks to the equipment based on project requirements and enters the project to which the equipment belongs on the platform. The system automatically establishes an association record between the equipment and the project, and updates the equipment's circulation and usage logs. The database classifies and calculates relevant operating parameters based on the equipment category and calibration records, including the stability rate of the current meter, the mean standard deviation of the CTD salinity and temperature drift, and the mean depth response rate of the acoustic releaser. The above statistical results will be used to evaluate the equipment status and provide support for project deployment and maintenance decisions.

[0104] This embodiment also provides a multimodal management and scheduling system for marine observation equipment, including: a data acquisition module, a data upload module and an equipment management module;

[0105] Data acquisition module, used to set the basic information and current location data of the device;

[0106] Data upload module, used to upload basic information and current location data to the cloud management platform;

[0107] The equipment management module is used to update the equipment's circulation and usage records and screen qualified equipment based on project requirements.

[0108] The present embodiment will be described in detail below with reference to the accompanying drawings:

[0109] The working mode of the system of the present invention is as follows Figure 2 As shown, each set of ocean observation equipment is independently equipped with a high-performance multimodal data transmission terminal (MDTT). This terminal integrates 4G and satellite communication functions and has strong environmental adaptability. Whether in indoor equipment storage rooms, outdoor testing scenarios, or ocean deployment environments, it can adaptively perform multi-mode positioning and communication, ensuring that the equipment can achieve efficient and stable full-scene coverage communication in various complex scenarios.

[0110] The system design fully considers the user's operational convenience. The terminal device is equipped with a one-touch operation button, which can quickly obtain the real-time status and positioning information of the uploaded device by simply pressing it. This information will be immediately transmitted to the cloud management platform to achieve real-time sharing and comprehensive management of device information. The cloud system provides managers with an intelligent operating platform, through which managers can view the operating status and geographical location of the equipment in real time, and scientifically deploy and efficiently track the equipment according to actual needs. In addition, the multi-mode communication function of the system ensures that the equipment can seamlessly switch communication modes in different environments. Whether it is a 4G network area with a strong signal or a remote sea area with weaker coverage, the system can intelligently select the optimal communication method. This technical design significantly improves the flexibility and reliability of equipment use, while reducing management costs, providing strong support for marine observation work. The hardware system composition diagram is as follows Figure 3 shown.

[0111] The multimodal data transmission terminal consists of a central control system, an RTC clock module, a JTAG debug port, and peripheral modules such as LED lights, which work together to ensure the stability and efficiency of the system. The central control system is composed of key components such as CPU, RAM, and ROM. The CPU is responsible for core calculations and task scheduling, RAM provides temporary storage and dynamic support for data, ROM stores firmware programs, and the crystal oscillator provides an accurate benchmark for the system clock. Data interaction between the central control system and the 4G and satellite communication modules is achieved through the serial port, ensuring the system's rapid switching and reliable transmission in multiple communication modes. The RTC real-time clock module provides the device with an independent time timing function, which can maintain time synchronization even in the event of a power outage. The LED light module is used to indicate the system's working status in real time, and feedback the device's operating status through different colors or flashing modes, allowing users to quickly understand the system's real-time status. At the same time, the JTAG debug port provides a convenient way for development and maintenance, enabling technicians to quickly troubleshoot problems, update programs, or optimize performance, further improving the equipment's operating efficiency and maintenance convenience. These modules have good scalability and are adaptable to multi-scenario application requirements. The specific workflow of the hardware system is as follows Figure 4 shown.

[0112] After the terminal is started, it is first initialized. After the initialization is completed, it enters low-power sleep mode and waits for the button to trigger an interrupt. At this time, the sleep mode indicator light is red. When the trigger interrupt signal is received, the system switches to the working state, the indicator light turns yellow, and is ready to report the device positioning information. The system first determines whether the current environment has a 4G signal: if a 4G signal is detected, detailed information about the current location is obtained, and the packaged data is transmitted to the cloud through the 4G module; if no 4G signal is detected, it switches to satellite communication mode, obtains the latitude and longitude information of the device through the satellite module, and packages the device information and sends it to the cloud. During the data transmission process, if the transmission fails, the system will re-detect whether there is a 4G signal and repeat the above operations until the information transmission is successfully completed. When the positioning information is successfully transmitted to the cloud, the system flashes green for five seconds to indicate that the task is complete, and then the indicator light turns back to red, and the device re-enters sleep mode to save energy and wait for the next trigger. At this point, the device information is transmitted to the cloud system, and the relevant personnel can then operate on the management platform. The architecture diagram of the cloud-based integrated device management platform is as follows Figure 5 shown.

[0113] Based on typical challenges encountered in real-world ocean observation projects, this paper comprehensively designs an innovative cloud-based management platform for tracking ocean observation equipment. This platform automatically receives and stores device and location information from distributed transmission terminals. The platform's overall architecture comprises a front-end UI, application layer, business layer, and data layer. These layers collaborate to form a comprehensive, fully functional, and highly scalable cloud-based device management platform.

[0114] The platform's front-end UI utilizes HTML, CSS, and JavaScript technologies to create an intuitive and user-friendly web interface, supporting seamless access across multiple devices and browsers. Through this dynamic, interactive interface, operators can easily query, manage, and operate device information. The front-end UI also displays device status updates, transaction history, and location distribution in real time, ensuring users can quickly access critical information and improving operational efficiency.

[0115] The application layer, the platform's core operational module, encompasses two key functions: interactive data display and dynamic management and scheduling. The interactive data display module visually presents information such as equipment usage status and maintenance records in charts and other formats, supporting rapid filtering and retrieval, facilitating operator decision-making for equipment management. The dynamic management and scheduling module provides flexible equipment allocation and task scheduling, optimizing resource allocation in real time based on task requirements and equipment status, effectively avoiding equipment usage conflicts.

[0116] The business layer is the key component of the platform's core functional logic, encompassing multiple business function modules. The identity recognition and authorization module ensures user access security and accurate permission management; the uploaded image and shadow preservation function provides reliable visual data support for device status records; and the device usage traceability record module comprehensively tracks the device's usage history and circulation trajectory, providing a decision-making basis for device management and maintenance. Furthermore, through project-based device management and tracking, the platform achieves global coordination of device resources, supporting dynamic instrument scheduling and collaborative device management across platforms and multiple systems.

[0117] The platform's data layer is responsible for storing and managing all data required by the system, supporting data recovery, storage, and rapid retrieval. Powered by this layer, the platform enables real-time updates and recording of device information. Furthermore, all operational activities are recorded in system logs, ensuring traceability and auditability of the operational process, further enhancing system reliability and transparency.

[0118] The entire system achieves a highly integrated and modular design through a system framework built using R&D models and address mapping technology. This architecture not only ensures the platform's operational efficiency and stability, but also provides a solid foundation for functional expansion and cross-platform adaptation.

[0119] The database of the present invention is as follows Figure 6 As shown in the figure, the design fully considers the complex needs of marine observation equipment management. Through modular structural design, it defines four core data tables: equipment category, equipment, usage record and project.

[0120] The device category table, with the category number as the primary key, is closely linked to the device table, providing a clear framework for categorized management of diverse devices. By providing detailed descriptions of device categories, users can quickly search and locate specific types of device resources, meeting precise device scheduling and management needs.

[0121] The device table, serving as the core data storage table, records the device's serial number, status, location, source, appearance, and notes in detail. It is linked to the device category table via the category field. Dynamic updates to the status and location fields enable real-time recording of device changes in complex usage scenarios. Whether a device is in use, undergoing maintenance, or idle, the user can intuitively understand the device's real-time status and current location through the information in the table.

[0122] The usage record table uses the record number as the primary key and establishes links with the equipment and project tables via the device and project foreign keys. The usage record table includes fields such as purpose, start and end time of use, and notes. This information clearly traces the equipment's circulation process, and any usage record can be queried and audited at any time, effectively avoiding management confusion caused by missing information or incorrect recording.

[0123] The project table records the number, name, and description of each observation project, providing important support for linking equipment to tasks. By establishing clear links between equipment and projects, the system can dynamically coordinate equipment requirements for multiple projects and avoid equipment conflicts.

[0124] In summary, the multimodal management and scheduling system for ocean observation equipment of the present invention achieves a high degree of innovative integration in data transmission terminals, platform technology architecture and database design, providing a new solution for the refined and efficient management of ocean observation equipment.

[0125] The above are merely preferred embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A multimodal management and scheduling method for ocean observation equipment, characterized in that: include: Set the basic information of the device through the user terminal and obtain the current location data of the device; The terminal regularly uploads the basic information and current location data to the cloud management platform; Based on the cloud management platform, obtain the association between devices and projects and calculate statistical parameters; Calculating the statistical parameters includes: Calculate the stability rate of the current meter: Among them, SR adcp Indicates the stability rate of adcp, ts i Indicates the time when the i-th device stops working, tb i Indicates the time when the device starts working, tr i Indicates the time it takes for the equipment to be salvaged from the seabed, td i Indicates the time when the equipment was deployed into the sea; Calculate the mean standard deviation of the CTD device salinity drift: Among them, S k,i is the salinity value measured by the kth device for the i-th time, Sref k,i is the salinity reference value measured by the kth device for the i-th time, m is the total number of devices, and n is the number of measurements for each device; Calculate the mean standard deviation of the CTD device temperature drift: Among them, T k,i is the temperature value measured by the kth device for the i-th time, Tref k,i is the temperature reference value of the kth device measured for the i-th time, m is the total number of devices, and n is the number of measurements for each device; Calculate the mean depth response rate of the acoustic releaser: Among them, MDRR i represents the mean response rate in the i-th depth interval, m k,i Indicates the total number of calls made by the kth device in the ith depth interval, n k,i represents the total number of responses of the kth device in the i-th depth interval, and t is the total number of acoustic releasers; Based on the statistical parameters, historical equipment transfer and usage records, and new project requirements, screen eligible equipment to obtain new project screening results; The equipment is scheduled according to the new project screening result, and the equipment transfer and usage records are updated.

2. A multimodal management and scheduling method for ocean observation equipment according to claim 1, characterized in that: Before setting the basic information of the device, it also includes: initializing the terminal module; Initializing the terminal module includes initializing the positioning module, communication module and storage module, wherein: The positioning module is used to detect and select the current best positioning mode through the built-in multi-modal positioning system; The communication module is used to automatically detect the network environment, give priority to activating the 4G channel, and automatically switch to satellite communication when the signal coverage is insufficient, so as to achieve seamless data transmission around the world; The storage module is used to verify and load basic information of the device to provide accurate support for subsequent data operations.

3. A multimodal management and scheduling method for ocean observation equipment according to claim 1, characterized in that: The basic information includes: category, serial number, purchase date, funding source and various performance parameters.

4. A multimodal management and scheduling method for ocean observation equipment according to claim 3, characterized in that: Based on the statistical parameters, historical equipment transfer and usage records, and project requirements, eligible equipment is selected, including: Based on the updated statistical parameters, historical equipment transfer and usage records, and combined with project requirements, the optimized deployment model is used to screen out qualified equipment.

5. A multimodal management and scheduling method for ocean observation equipment according to claim 4, characterized in that: The optimization deployment model includes: a deployment cost minimization optimization model and a comprehensive performance maximization optimization model; The optimization model for minimizing deployment cost is: Among them, m and n are the total number of equipment and the total number of projects respectively, C ij 、P ij 、R ij represents the transportation cost, time cost, and maintenance cost of equipment i assigned to project j, w1, w2, and w3 represent the corresponding weight coefficients, and x ij To allocate decision variables; The optimization model for maximizing comprehensive performance is: Among them, u1, u2, u3, and u4 represent the corresponding weight coefficients respectively.

6. A multimodal management and scheduling method for ocean observation equipment according to claim 1, characterized in that: Dispatching equipment based on the new project screening results and updating equipment transfer and usage records include: According to the usage of the equipment in each project, the relevant operating parameters of the equipment are classified and calculated, and new scheduling allocation is made based on the calculation results. At the same time, the flow and usage records of the equipment are updated.

7. A multimodal management and scheduling system for ocean observation equipment implemented by the method according to any one of claims 1 to 6, characterized in that: include: Data acquisition module, data upload module and device management module; The data acquisition module is used to set basic information of the device and obtain current location data; The data uploading module is used to upload the basic information and current location data to the cloud management platform; The equipment management module is used to update the statistical parameters, circulation and usage records of the equipment, and screen the qualified equipment in combination with the project requirements.

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