Marine observation equipment multi-mode management scheduling method and system

Abstract

The invention discloses a multi-modal management scheduling method and system for ocean observation equipment, and the method comprises the steps: setting the basic information of the equipment through a user terminal, and obtaining the current position data of the equipment; the terminal regularly uploads the basic information and the current position data to a cloud management platform; based on the cloud management platform, obtaining association between the equipment and the project, and calculating statistical parameters; according to the statistical parameters, historical equipment circulation and use records and in combination with new project requirements, screening equipment meeting conditions, and obtaining a new project screening result; and scheduling equipment according to the new project screening result, and updating circulation and use records of the equipment at the same time. According to the invention, a multifunctional management system with equipment state real-time updating, circulation tracking, cross-project collaborative scheduling and multi-platform interconnection is realized, and the defects of dynamics, transparency and expansibility in the prior art are overcome.

Description

Technical Field

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

[0002] Existing management systems are mostly used in land or fixed environments, and their designs mainly focus on the registration and management of static assets, with relatively single functions and relying on manual entry of information by management personnel. The core of the fixed asset management system is to register and classify assets, but for the transfer records, real-time status updates, and maintenance tracking of ocean observation equipment, existing systems are inadequate. Due to the lack of dynamic recording and real-time feedback functions in these systems, the specific usage conditions of the equipment cannot be presented in a timely manner, making it difficult to meet the frequent deployment requirements and real-time management requirements in ocean operations.

[0003] In addition, the operation of existing management systems is complex, mainly relying on traditional methods such as document records or table records. This method is not only inefficient but also prone to recording errors or information loss due to human omissions. More importantly, the status information of the equipment can usually only be updated and mastered by the administrator, and other users need to frequently request it, resulting in poor information transparency. The current situation of being unable to quickly query and update seriously hinders the collaborative management and usage efficiency of the equipment.

[0004] Poor compatibility is another prominent problem of existing systems. Since most of these systems are independently designed and cannot be seamlessly docked with other observation platforms or equipment management systems, data islands are formed. This isolated system structure limits data sharing and collaborative operations between different platforms. Especially in ocean observations with multiple tasks and multiple devices simultaneously, it is difficult to achieve unified management and scheduling across platforms, further exacerbating resource waste and conflicts.

[0005] The particularity of the ocean operation environment further exacerbates these problems. For example, the space on the ship operation platform is narrow and the time is limited, and the equipment deployment usually needs to be flexibly adjusted and is difficult to be strictly executed according to the predetermined plan. At the same time, for the network limitation problems at sea work stations, such as the lack of a stable network connection or a large communication delay, it further increases the management difficulty. The status update of ocean equipment depends on efficient data transmission and processing capabilities, but existing systems are difficult to play a role in the ocean environment, resulting in a lag in equipment status updates and affecting the efficiency of collaborative operations.

[0006] The root causes of these problems lie in the fact that the existing management system was not fully designed considering the dynamics of ocean operations, the frequency of equipment usage, and the special requirements imposed by the complex environment on the management system. However, the static recording mode, insufficient real-time performance, and lack of collaborative allocation capabilities of the existing equipment management system make it difficult to meet the complex management requirements of the current multi-task environment for ocean observations. To adapt to this complex scenario, there is an urgent need to develop a multi-modal management and scheduling method and system for ocean observation equipment. Summary of the Invention

[0007] To solve the above technical problems, the present invention proposes a multi-modal management and scheduling method and system for ocean observation equipment, which fundamentally improves the efficiency of equipment status management and transfer tracking, optimizes resource allocation, and meets the diverse needs of modern ocean science research.

[0008] The present invention provides a multi-modal management and scheduling method for ocean observation equipment, including:

[0009] Setting the basic information of the equipment through the user terminal and obtaining the current location data of the equipment;

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

[0011] Based on the cloud management platform, obtaining the association between the equipment and the project, and calculating statistical parameters;

[0012] According to the statistical parameters, historical equipment transfer and usage records, and combined with the new project requirements, screening eligible equipment to obtain a new project screening result;

[0013] Scheduling the equipment according to the new project screening result, and at the same time updating the transfer and usage records of the equipment.

[0014] Optionally, before setting the basic information of the equipment, it further includes: initializing the terminal module;

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

[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, preferentially enable the 4G channel, and automatically switch to satellite communication in case of insufficient signal coverage to achieve seamless data transmission globally;

[0018] The storage module is used to verify and load the basic information of the equipment, providing 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 parameters includes:

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

[0022]

[0023] where SR adcp represents the stability rate of the ADCP, ts i represents the time when the i-th device stops working, tb i represents the time when the device starts working, tr i represents the time when the device is retrieved from the seabed, td i represents the time when the device is deployed into the sea;

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

[0025]

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

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

[0028]

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

[0030] Calculating the mean value of the depth response rate of the acoustic release:

[0031]

[0032] where MDRR i represents the mean value of the response rate in the i-th depth interval, m k,i represents the total number of calls made by the k-th device in the i-th depth interval, n k,i represents the total number of responses made by the k-th device in the i-th depth interval, and t is the total number of acoustic releases.

[0033] Optionally, screening eligible devices according to the statistical parameters, historical equipment transfer and usage records, and combining with project requirements includes:

[0034] According to the updated statistical parameters, historical equipment transfer and usage records, and combining with project requirements, use the optimization deployment model to screen out eligible devices.

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

[0036] The minimization of deployment cost optimization model is:

[0037]

[0038] Where m and n are the total number of devices and the total number of projects respectively, C ij 、R ij 、R ij represent the transportation cost, time cost, and maintenance cost of allocating device i to project j, w 1 、w 2 、w 3 represent the corresponding weight coefficients respectively, and x ij is the allocation decision variable;

[0039] The maximization of comprehensive performance optimization model is:

[0040]

[0041] Where u 1 、u 2 、u 3 、u 4 represent the corresponding weight coefficients respectively.

[0042] Optionally, scheduling devices according to the new project screening results, and simultaneously updating the transfer and usage records of the devices includes:

[0043] According to the usage of the devices in each project, classify and calculate the relevant operation parameters of the devices, and perform new scheduling and allocation according to the calculation results, while updating the transfer and usage records of the devices.

[0044] The present invention also provides a multimodal management and scheduling system for ocean observation devices, including: a data acquisition module, a data upload module, and a device management module;

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

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

[0047] The device management module is used to update the statistical parameters, transfer and usage records of the device, and screen eligible devices in combination with project requirements.

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

[0049] The present invention realizes a multi-functional management system for real-time updating of device status, transfer tracking, cross-project collaborative scheduling, and multi-platform interconnection, overcoming the deficiencies of the prior art in terms of dynamics, transparency, and scalability. The system achieves full coverage of indoor and outdoor scenarios globally through the integrated application of a distributed data synchronization mechanism and multi-modal adaptive communication technology; through real-time data updating and traceability of usage records, it improves the efficiency and transparency of device management, supports dynamic scheduling of devices for multiple projects and tasks, effectively avoids usage conflicts, and optimizes resource allocation. The open interface enables cross-platform compatibility, promotes data sharing and collaborative observation, and further expands the application scope. 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 drawings forming a part of this application are used to provide a further understanding of this application. The schematic embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation to this application. In the drawings:

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

[0052] Figure 2 is a schematic diagram of the system working mode according to an embodiment of the present invention;

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

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

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

[0056] Figure 6 is a relational diagram of database design according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0057] It should be noted that, without conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The following will refer to the drawings and combine the embodiments to detail this application.

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

[0059] This embodiment aims to design an end-to-end full-link device tracking and management system. Through the multi-modal data transmission terminal carried by the device, one-key information upload is realized. Users can quickly upload the location information and operating status of the device to the cloud integrated device management platform, and administrators can achieve efficient management and allocation on the management platform, so as to meet the device management requirements in complex operation scenarios. The traditional device management mode mainly focuses on static records and is difficult to reflect the real-time status and transfer process of the device. By introducing the one-key information upload function and real-time update mechanism, and combining with an advanced database architecture and visual interface design, the present invention constructs a system that supports the full life cycle management of devices. Users can not only update device information anytime and anywhere, but also track the device transfer records and maintenance status through an intuitive and friendly interface, thereby improving the efficiency and transparency of device management.

[0060] Aiming at the conflict problem of device resources in a multi-task parallel environment, the present invention provides the ability of multi-project and multi-station collaborative scheduling. In the traditional independent management mode, it is often difficult to efficiently coordinate the competing demands of the same device among different task projects, which easily leads to resource waste or task delays. By constructing a unified device scheduling platform, the present invention comprehensively considers project requirements, the real-time status of devices and historical transfer records, providing data support for dynamically adjusting the device allocation plan. This support for collaborative scheduling can significantly improve the device usage efficiency, effectively avoid resource conflicts at the same time, and ensure the smooth progress of each task according to the plan.

[0061] To meet the diverse ocean observation needs, this embodiment specially designs an open interface to support seamless docking with other ocean observation platforms or systems. Through the standardized interface protocol, the system can be compatible with different types of device allocation systems, realizing cross-platform data sharing and intercommunication. This design not only enhances the scalability of the system, but also effectively breaks the data island, providing a solid technical foundation for cross-platform collaborative operation and unified management.

[0062] In addition, the multi-modal adaptive positioning and communication function of this embodiment further improves the applicability of the device in complex environments globally. The system can automatically detect the network environment, preferentially use low-cost 4G communication, and automatically switch to satellite communication when the 4G signal is unavailable, ensuring full coverage of indoor and outdoor scenarios. To address the operation challenges in the harsh ocean environment, the present invention also designs a specialized device operation function. Users only need to press a button to complete the device record, and the positioning success status is fed back through an indicator light, simplifying the operation process and improving the accuracy and reliability of the record.

[0063] This embodiment proposes a multi-modal management and scheduling method for marine observation equipment, as Figure 1 shown, which specifically includes the following steps:

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

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

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

[0067] According to the statistical parameters, historical equipment transfer and usage records, and combined with the new project requirements, screen the eligible equipment to obtain the new project screening results;

[0068] Schedule the equipment according to the new project screening results, and at the same time update the equipment transfer and usage records.

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

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

[0071] The positioning module is 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, preferentially enable the 4G channel, and automatically switch to satellite communication in case of insufficient signal coverage to achieve seamless data transmission globally;

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

[0074] Specifically, after the multi-modal data transmission terminal is started, it will first perform system-level initialization on each module, including core functional units such as the positioning module, communication module, and storage module. The positioning module detects and selects the current best positioning mode through the built-in multi-modal positioning system; the communication module automatically detects the network environment, preferentially enables the 4G channel, and automatically switches to satellite communication in case of insufficient signal coverage to achieve seamless data transmission globally; the storage module verifies and loads the basic information of the equipment to provide accurate support for subsequent data operations.

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

[0076] Specifically, the user sets the basic information of the device through the terminal, including the category, serial number, and various parameters, and stores them in the terminal to form an independent device identification file. After pressing the function button of the terminal, the terminal will obtain the current location data in real time, package the basic information and operating status of the device into a standardized data format, and upload it to the cloud management platform database through the communication module.

[0077] Furthermore, the calculated statistical parameters include:

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

[0079]

[0080] Among them, SR adcp represents the stability rate of the adcp, ts i represents the time when the i-th device stops working, tb i represents the time when the device starts working, tr i represents the time when the device is salvaged and recovered from the seabed, td i represents the time when the device is deployed into the sea;

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

[0082]

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

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

[0085]

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

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

[0088]

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

[0090] Furthermore, according to the statistical parameters, historical device transfer and usage records, combined with project requirements, the devices that meet the conditions are screened as follows:

[0091] According to the updated statistical parameters, historical device transfer and usage records, combined with project requirements, the devices that meet the conditions are screened using an optimized allocation model.

[0092] Specifically, after the new project requirements are proposed, the system comprehensively screens the device types, technical performances, and nominal parameters, filters out the devices that do not meet the index requirements, and ensures that the performance parameter P i must meet the minimum standard T set by the project i , that is, P i ≥T i , and further screens according to statistical parameters such as the stability rate, drift characteristics, and depth response rate. In the optimization of device allocation, the cloud management platform uses mathematical models and optimization algorithms to provide users with an efficient and scientific device allocation plan. The system automatically screens out the devices that meet the requirements by analyzing the information in the device database, combines project requirements with device performance, and optimizes according to principles such as minimizing costs and maximizing performance.

[0093] Minimize the allocation cost objective function:

[0094]

[0095] where m and n are the total number of devices and the total number of projects respectively, C ij , P ij , R ij represent the transportation cost, time cost, and maintenance cost of allocating device i to project j, w 1 , w 2 , w 3 represent the corresponding weight coefficients respectively, and x ij is the allocation decision variable. To ensure the rationality of the allocation, the system introduces the following constraint conditions:

[0096]

[0097] Maximize the comprehensive performance objective function:

[0098]

[0099] where SR ij , T mdsd,ij , S mdsd,ij , MDRR ijThey are respectively the statistical parameter stability rate calculated in the previous step, the mean value of the standard deviation of temperature and salinity drift, and the mean value of the depth response rate of the release device, u 1 、u 2 、u 3 、u 4 respectively represent the corresponding weight coefficients.

[0100] Based on the above two optimization objectives, an optimal allocation plan can be generated, and an equipment list is output for project use. Each device will be equipped with an independent multi-modal data transmission terminal to record the transfer and operation status of the device in real time and upload it to the cloud through the terminal, providing complete device information for subsequent management.

[0101] Furthermore, schedule the devices according to the new project screening results, and at the same time update the transfer and usage records of the devices, including:

[0102] Classify and calculate the relevant operation parameters of the devices according to the usage of the devices in each project, and make a new scheduling and allocation according to the calculation results, while updating the transfer and usage records of the devices.

[0103] Specifically, after receiving the data packet uploaded by the terminal, the cloud management platform parses out the device category, serial number, location and status information. The administrator assigns tasks to the devices according to the project requirements and enters the project to which the device belongs on the platform. The system automatically establishes an association record between the device and the project, and at the same time updates the transfer and usage logs of the device. The database classifies and calculates the relevant operation parameters according to the device category and calibration records, including the stability rate of the current meter, the mean value of the standard deviation of CTD salinity and temperature drift, the mean value of the depth response rate of the acoustic release device, etc. The above statistical results will be used for device status evaluation to support project allocation and maintenance decisions.

[0104] This embodiment also provides a multi-modal management and scheduling system for ocean observation devices, including: a data acquisition module, a data upload module, and a device management module;

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

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

[0107] The device management module is used to update the transfer and usage records of the device, and screen eligible devices in combination with project requirements.

[0108] The following elaborates on this embodiment in conjunction with the accompanying drawings:

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

[0110] The system design fully considers the operation convenience of users. There is a one-key operation button on the terminal device. By simply pressing it, the real-time status and positioning information of the uploading device can be quickly obtained. These information will be immediately transmitted to the cloud management platform to realize the real-time sharing and comprehensive management of device information. The cloud system provides an intelligent operation platform for managers. Managers can view the running status and geographical location of the device through this platform in real time, and scientifically allocate and efficiently track the device according to actual needs. In addition, the multi-modal communication function of this system ensures seamless switching of communication modes for the device in different environments. Whether in the 4G network area with strong signals or the remote sea area with weak coverage, the system can intelligently select the optimal communication method. This technical design significantly improves the flexibility and reliability of the device, reduces management costs at the same time, and provides strong guarantee for ocean observation work. The schematic diagram of the hardware system composition is as Figure 3 shown.

[0111] The multi-modal data transmission terminal consists of a central control system, an RTC clock module, a JTAG debug port, and peripheral device 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 computing and task scheduling. RAM provides temporary storage and dynamic support for data. ROM stores the firmware program, and the crystal oscillator provides an accurate reference 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 fast switching and reliable transmission of the system in multiple communication modes. The RTC real-time clock module provides an independent timekeeping function for the device, and can maintain time synchronization even in the case of power failure. The LED light module is used to indicate the working status of the system in real time, and feedback the running status of the device through different colors or flashing modes, facilitating users to quickly understand the real-time status of the system. 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 running efficiency and maintenance convenience of the device. These modules have good scalability and adapt to the application requirements of multiple scenarios. The specific working process of the hardware system is as Figure 4 shown.

[0112] After the terminal is started, it is initialized first. After the initialization is completed, it enters the low-power sleep mode and waits for the button to trigger the interrupt. At this time, the indicator light of the sleep mode is red. When the trigger interrupt signal is received, the system switches to the working state, the indicator light turns yellow, and it 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, the detailed information of the current location is obtained, and the packaged data is transmitted to the cloud through the 4G module; if the 4G signal is not detected, it switches to the 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 completed, and then the indicator light turns back to red, and the device re-enters the sleep mode to save energy and wait for the next trigger. At this point, the device information is transmitted to the cloud system, and then the relevant personnel can 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 problems in actual ocean observation projects, this paper comprehensively designs an innovative ocean observation equipment tracking cloud management platform, which can automatically receive and store the equipment and positioning information of distributed transmission terminals. The overall architecture of the platform includes front-end UI, application layer, business layer and data layer. Each layer cooperates with each other to form a comprehensive cloud equipment management platform with complete functions and strong scalability.

[0114] The platform's front-end UI uses HTML, CSS and JavaScript technologies to design intuitive and friendly web pages that support seamless access from multiple devices and browsers. Through a dynamic interactive interface, operators can easily query, manage and operate device information. The front-end UI can also display device status updates, flow records and location distribution in real time, ensuring that users can quickly obtain key information and improve operational efficiency.

[0115] As the core operating module of the platform, the application layer includes two major functions: interactive data display and dynamic management and scheduling. The interactive data display module intuitively presents the equipment's usage status, maintenance records and other information in the form of charts, supports rapid filtering and retrieval, and facilitates operators to make equipment management decisions. The dynamic management and scheduling module provides flexible equipment allocation and task scheduling capabilities, which can optimize resource allocation in real time according to task requirements and equipment status, effectively avoiding equipment usage conflicts.

[0116] The business layer is a key part of the platform to implement all core functional logics and contains multiple business function modules. The identity recognition and authorization module ensures the security of user access and the accuracy of permission management; the function of retaining the light and shadow of uploaded pictures provides reliable visual data support for device status recording; the device usage traceability record module comprehensively tracks the usage history and transfer track of devices, providing a decision-making basis for device management and maintenance. In addition, through the device management tracking function based on projects, the platform realizes the overall coordination of device resources globally, supporting the dynamic scheduling of instruments and the collaborative management of devices across platforms and multiple systems.

[0117] The data layer of the platform is responsible for storing and managing all data required by the system, supporting the recycling, storage, and rapid retrieval of data. With the strong support of the data layer, the platform can achieve real-time update and recording of device information. At the same time, all operation behaviors are recorded by the system log, ensuring the traceability of the operation process and the auditing function, further enhancing the reliability and transparency of the system.

[0118] The entire system realizes high integration and modular design through the system framework built by the research and creation model and address mapping technology. This architecture not only ensures the operation efficiency and stability of the platform but also provides a solid foundation for function expansion and cross-platform adaptation.

[0119] The database of the present invention is as Figure 6 shown. This design fully considers the complex requirements of ocean observation device management. Through the modular structure design, four core data tables of device categories, devices, usage records, and projects are defined.

[0120] The device category table uses the category number as the primary key and is closely associated with the device table, providing a clear framework for the classification management of diverse devices. Through the detailed description of device categories, users can quickly retrieve and locate specific types of device resources, meeting the precise requirements of device scheduling and management.

[0121] As the core data storage table, the device table details the serial number, status, location, source, appearance, and remarks information of the device, and establishes an association with the device category table through the category field. The dynamic update of the status and location fields enables the changes of the device in complex usage scenarios to be recorded in real time. Whether the device is in use, under maintenance, or idle, users can intuitively grasp the real-time status and current location of the device through the information in the table.

[0122] The usage record table uses the record number as the primary key and establishes associations with the device table and the project table through the foreign keys of the device and the project. The usage record table covers fields such as usage, start and end times of use, and remarks. Based on this information, the transfer process of the device is clearly traceable, and any usage record can be queried and audited at any time, effectively avoiding management chaos caused by information omission or incorrect recording.

[0123] The project list records the numbers, names, and descriptions of each observation project, providing important support for the association between equipment and tasks. By establishing a clear association between equipment and projects, the system can dynamically coordinate the equipment requirements of multiple projects and avoid equipment conflicts.

[0124] In summary, the multi-modal management and scheduling system for ocean observation equipment of the present invention achieves a highly innovative integration in data transmission terminals, platform technical architectures, and database designs, providing a new solution for the refined and efficient management of ocean observation equipment.

[0125] The above is only a preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed in the present application should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A multi-modal management and scheduling method for marine 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 periodically uploads the basic information and current location data to the cloud management platform; Based on the cloud management platform, obtain the association between the equipment and the project, and calculate the statistical parameters; According to the statistical parameters, historical equipment transfer and usage records, and in combination with new project requirements, eligible equipment is screened to obtain new project screening results; The equipment is scheduled according to the new project screening result, and the circulation and use records of the equipment are updated at the same time.

2. A multi-modal 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, the communication module and the storage module, wherein: The positioning module is used to detect and select the current best positioning mode through a built-in multi-modal positioning system; The communication module is used to automatically detect the network environment, give priority to enabling 4G channels, and automatically switch to satellite communication when 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 multi-modal 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 multi-modal management and scheduling method for ocean observation equipment according to claim 1, characterized in that: 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 of the drift standard deviation of the CTD device salinity: 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 of the drift standard deviation of the CTD device temperature: 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 It represents the total number of responses of the kth device in the ith depth interval, and t is the total number of acoustic releasers.

5. A multi-modal management and scheduling method for ocean observation equipment according to claim 4, characterized in that: Based on the statistical parameters, historical equipment transfer and usage records, and project requirements, the following qualified equipment are selected: Based on the updated statistical parameters, historical equipment circulation and usage records, and project requirements, the optimized deployment model is used to screen out qualified equipment.

6. A multi-modal management and scheduling method for ocean observation equipment according to claim 5, 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, and 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, respectively, 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.

7. A method for multi-modal management and scheduling of ocean observation equipment according to claim 1, characterized in that: Dispatching equipment according to the new project screening results and updating the equipment's circulation 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 according to the calculation results. At the same time, the circulation and usage records of the equipment are updated.

8. A multi-modal management and scheduling system for marine observation equipment, 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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