Digital rural terminal service method and system based on cloud service technology

Abstract

The invention discloses a digital country terminal service method and system based on a cloud service technology, and belongs to the technical field of digital country service. A framework of'government support + marketization operation 'is adopted, and co-construction of a design party, a service party and an operator is achieved. The design party is mainly responsible for overall planning and resource integration, the service party provides policy support and supervision, and the operator is responsible for specific platform research and development and daily operation; a database, network and software multi-layer architecture based on cloud service is adopted to support an innovative operation mode and an efficient data management strategy; meanwhile, deep integration of online cloud service platform enabling and offline services is emphasized, users are attracted through free content services, and paid value-added services such as online data security channel service charges are introduced, so that sustainable development of the service station is ensured; besides, key agricultural data are collected through multiple channels, and a data updating and optimizing mechanism is established, so that the data quality is improved, and powerful data support is provided for agricultural production and operation.

Description

Technical Field

[0001] The present invention relates to the field of digital village service technology, and in particular to a digital village terminal service method and system based on cloud service technology. Background Art

[0002] Going deep into the countryside to provide people-friendly services has become a key link in promoting the development of digital villages and digital agriculture. Its core goal is to effectively solve various practical problems faced by farmers in the process of production and life. In grassroots practice, there are already related products such as Yinong Information Service, whose construction funds come from government investment, and the operation process is also highly dependent on government financial support. However, this operation model has exposed obvious drawbacks. Due to the lack of diversified funding sources, once the government's subsequent funding is insufficient, the daily operation of offline service stations will be unsustainable and sustainable development will not be achieved. Therefore, it is particularly important to explore and develop a new model that includes both moderate government participation and sustainable operation that mainly relies on market forces. Summary of the invention

[0003] The purpose of the present invention is to provide a digital rural terminal service method and system based on cloud service technology to solve the problems raised in the above background technology.

[0004] In view of the above problems, the technical solution proposed by the present invention is:

[0005] A digital rural terminal service method based on cloud service technology comprises the following steps:

[0006] Step 1, construction mode construction, includes the following steps:

[0007] S1, determine the participants and their responsibilities, including the following steps: select ministerial-level institutions and central enterprises with relevant professional capabilities and resource integration advantages as designers to be responsible for the overall design and planning work. These include formulating access guidelines based on industry standards and technical specifications, drafting a disclaimer agreement covering the rights and responsibilities of all parties, comprehensively integrating ecological resources and various services in the agricultural field, building a complete resource service system framework, and providing top-level design support for the entire digital rural terminal service; specifying local provincial / municipal / district and county government units as service providers, responsible for coordinating office space to ensure the physical space requirements of service sites, providing start-up funds for initial facility construction and project promotion, organizing a team of experts including agricultural technology experts and policy research experts to provide professional intellectual support for service development, and establishing a supervision and assessment mechanism to ensure that all parties perform their duties in accordance with established standards and goals, and to ensure service quality and project implementation results; identifying corporate units as operators, responsible for investment and providing the capital flow required for the project, and carrying out platform research and development work, covering a series of links from software architecture design, functional module development to system testing and optimization, and at the same time responsible for the operation and maintenance of the online platform, including server management, data security assurance, user service response, etc., as well as the construction and operation of offline service stations, including site selection planning, facility and equipment configuration, personnel recruitment and training, and daily operation management;

[0008] S2, integrating resources from all parties, including the following steps: the design party integrates various agricultural-related resources, such as the latest research results of agricultural research institutes, cooperative resources of agricultural upstream and downstream enterprises, etc., and builds a rich service resource library by establishing resource classification catalogs and resource docking mechanisms to ensure the searchability, deployability and efficient utilization of resources; the service party integrates local policy resources, such as agricultural subsidy policies, rural industry support policies, etc., as well as human resources (expert team), etc., and provides policy and intellectual support to the service station through policy interpretation and publicity, expert consulting service docking, etc., to promote the service station to accurately transform policy benefits into actual service measures, and improve the pertinence and effectiveness of services; the operator integrates technical resources, including software development technology, network communication technology, data processing technology, etc., as well as financial resources, and invests in platform construction and service operations. For example, use advanced cloud computing technology to build a flexible and scalable cloud service platform architecture to ensure that the platform can cope with user access and data processing needs of different scales; reasonably allocate funds for hardware equipment procurement, technology research and development investment, personnel salary payment, etc., to ensure the continuous and stable operation of the project;

[0009] Step 2: Building the cloud service system architecture, including the following steps:

[0010] T1, system configuration library construction, including the following steps: add tenant number (tenant) and detailed database link data in the user information table, and the database link part also has a tenant field to distinguish different tenants and connect to their exclusive database. When designing the database structure, follow the normalization principles of database design, such as ensuring data integrity, consistency and minimum redundancy, while considering data security and scalability, so that new tenants can be easily added or the existing database structure can be adjusted in the future; establish an association between the user information table and the database link data, and ensure that the system can accurately identify and manage information and data access of different tenants through technical means such as foreign key constraints and index optimization of the database management system. For example, set appropriate indexes to improve data query efficiency, so that relevant data of a specific tenant can be quickly located during associated queries, ensuring the efficiency of system operation and the accuracy of data access;

[0011] T2, terminal user database management, includes the following steps: Create an independent database for each terminal user, such as terminal user 1 database, terminal user 2 database, etc. When creating a database, estimate the database storage capacity, performance requirements and other parameters based on the terminal user's business characteristics and data scale, and select a suitable database management system (such as MySQL, Oracle, etc.) and database configuration plan to ensure that each terminal user database can run stably and meet its data storage and processing needs; establish a user login verification mechanism. When a user logs in, the corresponding database connection string is searched in the system configuration library according to their terminal user number (tenant) to connect to a specific terminal user database to achieve independent storage and management of user data. The user login verification mechanism uses a safe and reliable encryption algorithm (such as SHA-256, etc.) to encrypt, store and verify user passwords, and combines multi-factor authentication (such as SMS verification codes, fingerprint recognition, etc.) to improve login security and prevent illegal users from accessing terminal user data;

[0012] T3, system service and gateway settings, including the following steps: setting up an identity authentication module in the system gateway to authenticate requests initiated by terminal users to ensure that the source of the request is legitimate. The identity authentication module adopts an identity authentication scheme based on digital certificates, tokens and other technologies to strictly verify the user's identity. Only requests that pass the identity authentication are allowed to enter the system; establishing routing decision rules to accurately forward requests to the corresponding system services according to the request type and target service. The routing decision rules are implemented based on the routing table and routing algorithm. The routing table records the mapping relationship between different request types and target services. The routing algorithm dynamically selects the optimal routing path according to the real-time status of the request (such as network load, service response time, etc.) to ensure that the request can reach the target service efficiently and accurately; configuring the load balancing algorithm to reasonably allocate system resources to ensure that multiple requests can be processed efficiently. The load balancing algorithm adopts multiple strategies such as polling, weighted polling, IP hashing, etc. to dynamically allocate requests according to the load of the system service, avoiding performance bottlenecks or failures of a single service node due to excessive load, and ensuring the high availability and stability of the system. After the system service processes the request, it returns the response to the end user through the gateway. During the response return process, the response data is encrypted to ensure the security of the data during transmission and prevent the data from being stolen or tampered with. Step three, the operation model is implemented, including the following steps:

[0013] E1, supported by industry departments, includes the following steps: the designer tracks national agricultural development policies and adjusts the service platform functions and service content to make them consistent with policy orientations, such as adding intelligent agricultural service functions according to smart agriculture policies. The designer establishes a special policy research team to regularly collect and analyze the updates and changes of national agricultural policies and regulations, and converts policy points into specific platform function requirements and service optimization plans. Through agile development processes, the platform functions are quickly iterated to ensure that the platform is always consistent with policy orientations and can provide farmers and agricultural enterprises with service support that meets policy requirements in a timely manner; the service provider builds a cooperation platform to attract various enterprises, research institutions and social organizations to participate, gather agricultural and rural data resources, and establish a data sharing mechanism to provide data to relevant parties. The service provider builds a cooperation and exchange platform by holding agricultural industry seminars, investment promotion conferences and other activities, formulates data sharing agreements and data usage specifications, clarifies the rights and obligations of data providers and users, establishes data quality review mechanisms and data security mechanisms, ensures the accuracy, integrity and security of data, and promotes the legal and orderly sharing and use of agricultural data resources among all parties;

[0014] E2, enterprise operation execution, includes the following steps: Infrastructure construction: The enterprise signs a cooperation agreement with the telecom operator, selects appropriate network access technology (optical fiber, 4G / 5G, etc.) according to the characteristics of the service station area to deploy the network and ensure network coverage. During the network deployment process, network signal strength test and network bandwidth evaluation are carried out, and the network layout is optimized according to the test results, such as adding base stations and adjusting signal transmission power, to ensure the stability and high speed of the service station network; the industrial foundation, construction willingness and offline network maturity of the service station area are evaluated, and the optimal location is selected to build the service station. The evaluation process adopts a quantitative scoring model, comprehensively considering factors such as the scale of the local agricultural industry, industrial structure, farmers' support for the construction of service stations, and the distribution of existing commercial outlets in the surrounding area to determine the best location for the service station. According to the functional requirements of the service station, purchase and install hardware facilities such as computers, servers, large-screen display equipment and smart terminals. When purchasing hardware facilities, we follow the principle of quality first and reasonable cost performance, select equipment products that meet industry standards and technical specifications, and establish an equipment maintenance management system. We regularly inspect, maintain and upgrade hardware facilities to ensure the normal operation of the equipment; Operation model promotion: Free content service provision: Online through WeChat applets and other platforms, timely obtain and publish agricultural policy information, and use algorithms to intelligently recommend agricultural technology consulting information based on user characteristics. The online platform establishes information collection channels and establishes information cooperation relationships with government agricultural departments, agricultural research institutions, etc. to ensure timely and accurate acquisition of agricultural policy information. Machine learning algorithms are used to analyze and mine user browsing history, search history, geographic location and other feature data to build a user interest model, thereby achieving accurate recommendation of agricultural technology consulting information. Offline service stations arrange special personnel to answer farmers' policy questions and provide agricultural technology consulting services. Offline service station staff have received professional training and have solid agricultural policy knowledge and agricultural technology consulting capabilities. They have established a service feedback mechanism, timely collected farmers' opinions and suggestions, and continuously optimized service quality; Paid value-added service profit: Cooperate with financial institutions to build a guarantee and loan assistance service platform, and formulate service fee collection standards based on service content and effects. Establish in-depth cooperation with financial institutions, jointly develop risk assessment models, loan approval processes, etc., clarify the service scope, service process and charging standards of the insurance and loan assistance service platform, and charge reasonable service fees according to the actual effect of the service (such as loan issuance amount, loan default rate, etc.). Provide platform services for product sales companies, including product display space leasing, marketing and promotion services, etc., and charge service fees in accordance with the contract.Formulate product display space rental rules and marketing promotion service packages, provide personalized service solutions based on the company's product characteristics and market demand, and enhance the brand awareness and product sales of product sales companies through online and offline marketing and promotion methods (such as online advertising, offline agricultural product exhibitions, etc.), so as to obtain corresponding service fees; Service model innovation: Use big data and artificial intelligence technology to develop online cloud service platform functions, such as establishing user portraits to achieve personalized service recommendations. The online cloud service platform uses big data storage and processing technology (such as Hadoop, Spark, etc.) to build a data warehouse to store massive amounts of user data and agricultural data, and uses artificial intelligence algorithms (such as deep learning algorithms) to analyze and mine data, build user portraits and agricultural production models, and implement personalized agricultural service recommendations based on user portraits (such as personalized planting plan recommendations, agricultural product sales channel recommendations, etc.). Use blockchain, privacy computing and other technologies to build a trusted data financial risk control model and provide financial institutions with a data verification interface. Use blockchain technology to build a decentralized data storage and sharing platform to ensure that data cannot be tampered with and is traceable. Use privacy computing technologies (such as federated learning, dynamic encryption, etc.) to achieve joint data analysis and modeling under the premise of protecting data privacy, provide financial institutions with accurate and reliable data verification interfaces, and improve the security and efficiency of financial services. Offline service stations arrange service personnel based on online appointment information to provide face-to-face consultation and services. Offline service stations establish an online appointment management system, connect data with the online cloud service platform, and reasonably arrange the work tasks of service personnel based on appointment information. When providing face-to-face consultation and services, service personnel record the service process and results and feedback to the online platform to achieve closed-loop management of online and offline services. Design a service content system that integrates industrial services, government services, and convenience services, and clarify the detailed process and quality standards of each service. For example, the specific operations and quality requirements of information collection, supply and demand matching, and contract signing are stipulated in the agricultural product sales docking service. Establish a service process management system, standardize the management of all aspects of industrial services, government services, and public services, formulate service quality assessment indicators, regularly evaluate and improve service quality, ensure the efficient operation of the service content system and the continuous improvement of service quality; enrich and optimize agricultural data elements: set up a data collection portal on the service station platform to encourage farmers and enterprises to upload data such as rural assets, crop growth, soil conditions, climate information, price fluctuations, etc. The service station platform encourages farmers and enterprises to actively upload data by setting up data incentive mechanisms (such as point rewards, service discounts, etc.), and uses data encryption transmission technology to ensure the security of data during the upload process. At the same time, organize offline research teams to regularly go deep into rural areas to collect data.The offline survey team is composed of professional agricultural data collectors, equipped with advanced data collection equipment (such as soil sensors, meteorological monitors, etc.), and conducts data collection work in rural areas in accordance with the predetermined survey plan and data collection specifications to ensure the accuracy and completeness of the data. Establish a data update plan to review and update the data regularly, such as updating crop growth data every month. The data update plan is formulated according to the agricultural production cycle and the characteristics of data changes. Data comparison, field verification and other methods are used to review the data, and expired or inaccurate data are updated in a timely manner. Develop data cleaning, integration and standardization processing procedures to process the collected data to ensure data quality. The data cleaning program uses algorithms such as data filtering and outlier processing to remove duplicate, erroneous and invalid data records; the data integration program uses data mapping, data fusion and other technologies to unify and integrate data from different sources and formats to establish data associations; data standardization rules convert various types of data into a unified standard format according to industry standards and data usage requirements to facilitate data storage, analysis and sharing;.

[0015] Step 4, data management and utilization, includes the following steps:

[0016] P1, data collection, includes the following steps: set up the data collection module online through the service station platform to guide users to actively input relevant data such as agricultural production and market transactions. The data collection module adopts a user-friendly interface design, and provides functions such as data input prompts and data format verification to facilitate users to input data. At the same time, data encryption technology is used to encrypt and transmit the data entered by the user to ensure the security of the data during network transmission; collect data offline through field surveys and questionnaires by staff to ensure that the data sources are wide and accurate. During the field survey and questionnaire survey, the staff followed scientific research methods and sampling principles to ensure the representativeness of the sample and the reliability of the data. The collected data are recorded and preliminarily sorted on site, and data storage devices (such as mobile hard drives, data acquisition instruments, etc.) are used for safe storage to prevent data loss or damage;

[0017] P2, data processing, includes the following steps: Use data cleaning algorithms to remove duplicate, erroneous and invalid data records. The data cleaning algorithm uses a combination of rule-based data cleaning methods (such as judging the validity of data based on rules such as data format and data range) and statistical analysis-based data cleaning methods (such as judging outliers through statistical indicators such as the mean and variance of the data) to improve the accuracy and efficiency of data cleaning; develop data integration programs to integrate data from different sources and formats and establish data associations. The data integration program uses data conversion technology (such as converting data in different formats to a unified format), data mapping technology (such as establishing mapping relationships between different data fields) and data fusion technology (such as merging and processing multi-source data) to achieve seamless data integration and provide a unified data foundation for data analysis and application; formulate data standardization rules to convert various types of data into a unified standard format to facilitate data storage, analysis and sharing. Data standardization rules are formulated based on industry standards and data usage requirements for agricultural data, including data type definitions, data encoding specifications, data unit unification and other aspects to ensure data compatibility and interoperability between different systems and applications;

[0018] P3, data application, includes the following steps: Based on the processed data, use the data analysis model to provide farmers with agricultural production decision-making suggestions, such as recommending suitable crop varieties based on soil conditions and climate information. The data analysis model is constructed using machine learning algorithms (such as decision trees, neural networks, etc.). Through training and learning of a large amount of historical data, a relationship model between soil conditions, climate information and crop variety suitability is established, and accurate crop planting suggestions are provided to farmers based on real-time soil and climate data; the data is provided to partners such as financial institutions for risk assessment, credit decision-making, etc., while ensuring data security and user privacy protection. When providing data to partners, data desensitization technology (such as data obfuscation, data replacement, etc.) is used to process user sensitive information to ensure that user privacy is not leaked during data sharing. Establish a data authorization management mechanism to clarify the scope of use, usage period and data security responsibilities of data users, and use technical means such as data encryption transmission and data storage encryption to ensure the security of data during transmission and storage to prevent data from being illegally obtained or abused.

[0019] On the other hand, the present invention provides a digital rural terminal service system based on cloud service technology, including system architecture, functional modules, and participant collaboration mechanism;

[0020] The system architecture includes a system configuration library module, a terminal user library module, a system service and gateway module. The function of the system configuration library module is to archive and store the basic information and general settings of users and tenants. The user information table includes basic personal data related fields, tenant numbers (tenant) and detailed database link data, and the database link part is also provided with a tenant field. The key role of this module is to clearly and accurately identify different tenants by tenant numbers, so as to ensure that the system can accurately access the corresponding tenant-specific database based on this number, and then provide indispensable basic data support for various subsequent business processing processes, so as to achieve effective isolation and precise management of data; the terminal user library module is used to store the business-related data of each terminal user, and each terminal user is independently equipped with a corresponding database, such as terminal user 1 library, terminal user 2 library, etc. When a terminal user logs in, the system searches for the corresponding database connection string based on the terminal user number (tenant) in the system configuration library, and then connects to a specific terminal user database to execute the business activities requested by the user. In this way, the independence and security of each terminal user's data are effectively ensured, laying the foundation for the development of personalized services; the system service and gateway module assume the core functions of receiving and distributing terminal user requests, and have key functions such as identity authentication, routing decisions, and load balancing. When a terminal user initiates a request, the gateway first verifies the legitimacy of the request; then, according to the preset routing rules, the verified request is accurately forwarded to the adapted system service. Each system service focuses on processing a specific type of business logic and data interaction tasks, and after processing, the response is fed back to the gateway, and the gateway forwards the response back to the terminal user. The system service and gateway work together to ensure the correct and efficient processing of requests and the stable and reliable operation of the system;

[0021] The functional modules include information service module, data collection and management module, service docking module, technical support and maintenance module, service evaluation and feedback module. The information service module can integrate various information resources such as agricultural policy information and agricultural technical consulting information, and provide users with information query and intelligent recommendation services with the help of online platforms (such as WeChat applet). At the same time, offline service station staff can use this module to provide users with face-to-face information interpretation and consulting services, helping farmers to obtain agricultural policy subsidy information in a timely manner and improve agricultural production skills; the data collection and management module provides an online data collection channel to facilitate farmers and agricultural enterprises to upload rural asset data, crop growth data, soil conditions, climate information, price fluctuations and other key data, and supports the entry of offline survey data. The collected data is cleaned, integrated and standardized, and a data update and optimization mechanism is constructed to ensure that the data is accurate and timely, and to provide reliable data support for agricultural production and operation activities; the service docking module, on the one hand, constructs a service docking interface for third-party access platforms such as financial institutions, realizes functions such as insurance and loan assistance services, data verification channel services, and charges corresponding service fees. On the other hand, it provides product display, marketing promotion and other service docking for agricultural product sales companies, helps companies expand market channels and promote agricultural product sales, and charges platform service fees at the same time; the technical support and maintenance module is responsible for the daily technical maintenance of the platform, covering server management, network monitoring, system upgrades and other tasks to ensure the stable operation of the platform. Provide remote and on-site technical support services, promptly handle technical problems that arise during the operation of service station equipment and systems, and ensure the continuous and stable supply of digital services; build a user evaluation system to collect user feedback on service quality, service content and other aspects. The operator will adjust and optimize the service in a timely manner based on user feedback, improve service quality and increase user satisfaction, and form a virtuous cycle mechanism for continuous improvement of service quality;

[0022] The participant coordination mechanism includes the design party coordination mechanism, the service party coordination mechanism, and the operation party coordination mechanism. The design party coordination mechanism is that the ministerial-level institutions and central enterprises serve as the design subjects, and are responsible for the overall architecture design and planning of the entire system, formulate the system's access guidelines and exemption agreements, so as to ensure the standardization and security of the system, integrate various ecological resources and services, and provide rich and diverse resource support for the operation of the system, such as introducing advanced agricultural technology resources, high-quality agricultural product sales channel resources, etc., to enhance the overall service capabilities and market competitiveness of the system; the service party coordination mechanism is that the local provincial / municipal / district and county government units serve as the service subjects, coordinate and solve the problems of office space and start-up funds required for the operation of the system, provide the necessary material basis for the construction and operation of the system, organize expert teams to provide policy consultation, agricultural technology guidance and other services for the system, and ensure that the system services meet the needs of agricultural development and policy guidance requirements. Establish a supervision and assessment mechanism to supervise and evaluate the service quality, data management and other aspects of the system operator to ensure the healthy and orderly operation of the system; the operator coordination mechanism is that the enterprise unit is the operating entity, responsible for investing in the research and development and operation of the system, and transforming the design party's planning blueprint and the service party's support resources into actual and operational service products. Ensure the stability of the service station regional network through cooperation with telecommunications operators, select and build service stations according to the actual conditions of the region and equip them with hardware facilities, form a technical team to be responsible for the development, maintenance and upgrading of the platform, attract users by providing free content services, and carry out paid value-added services to achieve profit goals and promote the sustainable development of the system. At the same time, the operator continues to innovate service models based on user needs and market changes to improve the service efficiency of the system.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] 1. By integrating policy directions, comprehensively improving the level of rural digitalization, supporting the implementation of strategies, and providing strong technical support and innovative solutions for the digital transformation of rural areas;

[0025] 2. Data owners can directly transmit updated data to data keepers, which greatly improves the efficiency of data updating. At the same time, a virtuous circle is formed between data users and data keepers, ensuring the timely update and accuracy of agricultural asset information, thereby effectively revitalizing agricultural asset data;

[0026] 3. Optimize the agricultural product supply chain using digital platforms. The entire process from field to table has been significantly improved, with greatly increased efficiency and transparency. Through this platform, consumers can directly contact producers to purchase products and obtain detailed information about the origin and quality of the products. This direct transaction method not only enhances consumer satisfaction, but also improves market fairness and transparency, ensuring that agricultural product prices are more reasonable and consumers can get a better shopping experience;

[0027] 4. Predicting potential risks, including extreme weather events and market price fluctuations, can help farmers plan production and sales more effectively. By identifying these risks in advance, farmers can adjust production strategies and sales plans in a timely manner to minimize losses and optimize returns. This forward-looking management approach enables farmers to cope with changes and enhance production flexibility and market competitiveness;

[0028] 5. Cloud services greatly improve the flexibility and cost-effectiveness of the system by providing on-demand, scalable resources and services, while enhancing data security and business reliability, supporting remote work, optimizing collaboration efficiency, and promoting the rapid deployment and innovation of new technologies, thereby helping the system adapt to the rapidly changing market environment and enhance its competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A flowchart of the operation mode of a digital rural terminal service method and system based on cloud service technology disclosed in an embodiment of the present invention;

[0030] Figure 2 This is a cloud service flow chart of a digital village terminal service method and system based on cloud service technology disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] See also Figure 1 - Figure 2 The present invention provides a technical solution: a digital rural terminal service method and system based on cloud service technology, comprising the following steps:

[0033] Construction Phase

[0034] Design planning

[0035] The design team, which is composed of ministerial institutions and central enterprises, will make an overall plan for the digital rural service station. For example, the functional layout of the service station will be planned to determine the settings of areas such as industrial services, government services, and convenience services. Detailed access guidelines will be formulated to specify which types of enterprises, institutions or services can access the service station platform, as well as the technical standards and specifications for access. At the same time, a disclaimer agreement will be drafted to clarify the scope of responsibility of each party in the service process to avoid potential legal disputes. Integrate various ecological resources, such as cooperating with agricultural research institutions to introduce advanced agricultural technology resources; cooperate with agricultural product sales companies to open up agricultural product sales channels, etc., to provide rich resource support for the operation of the service station.

[0036] Service provider support

[0037] As the service provider, local provincial / municipal / district / county governments should actively coordinate to solve the office space problem of service stations. For example, they can select a suitable site in the central area of ​​the local rural area or near a market with a relatively concentrated population, and provide start-up funds for the initial construction of the service station, including site decoration and equipment procurement. They should organize a team of agricultural experts to provide professional agricultural technology consulting and guidance services to the service station. At the same time, they should formulate relevant policies to support the operation of the service station, such as providing certain subsidies for the agricultural technology promotion services provided by the service station, and encouraging the service station to actively carry out activities that benefit the people. They should establish a supervision and assessment mechanism to regularly evaluate the service quality, data management, and operation of the service station to ensure the standardized operation of the service station.

[0038] Operator execution

[0039] As the operator, the enterprise unit invests and holds shares to raise funds for platform research and development. For example, it invests funds to develop the online cloud service platform of the digital rural service station, including the development of small programs suitable for mobile phones and computer applications to ensure that the platform has functions such as information query, publishing, financial services, express delivery, and medical services. At the same time, it is responsible for the daily operation of the platform, including server maintenance, data management, user services, etc. In terms of the construction of service stations, according to factors such as the regional industrial foundation, construction willingness, and offline network maturity, it is selected to establish service stations in villages with relatively developed agricultural industries, high villagers' demand for digital services, and a certain offline service foundation. Cooperate with telecom operators to adopt optical fiber and 5G network access technology to achieve high-speed network coverage in the service station area. Equip the service station with hardware facilities such as computers, servers, large-screen display devices, and smart terminals to meet the digital service needs of the service station.

[0040] Operational Phase

[0041] Free content services attract users

[0042] The service station provides free content services to users through online platforms and offline service stations. Online, using platforms such as WeChat applets, timely release agricultural policy information, such as the state's subsidy policy for agricultural planting, agricultural tax preferential policies, etc., to help farmers obtain government subsidy information in a timely manner. At the same time, intelligently recommend agricultural technical consulting information, and accurately push suitable planting techniques, pest and disease control methods, etc. according to factors such as the user's crop type and the climatic conditions in the area, to help farmers improve their agricultural production skills. At offline service stations, staff provide farmers with face-to-face interpretation of agricultural policies and agricultural technical consulting services, and answer questions encountered by farmers during the production process.

[0043] Realize income from paid value-added services

[0044] For financial institutions that access the platform, the service station provides a service platform for insurance and loan assistance, and charges a certain service fee. For example, it provides farmers' credit data to financial institutions (under the premise of ensuring data security and user authorization), helps financial institutions conduct risk assessments, improves loan approval efficiency, and assists farmers in connecting with financial institutions to handle insurance and loan assistance services. For product sales companies that access the platform, platform service fees are charged, such as providing product display positions, marketing and promotion services, etc., to help companies expand product sales channels and increase product awareness.

[0045] Service model innovation practice

[0046] The online platform uses big data and artificial intelligence technologies to achieve accurate information push and intelligent services. For example, based on the user's historical query records and consumption habits, it recommends appropriate agricultural product trading information and agricultural technology training courses to users. At the same time, supported by data security technologies such as blockchain and privacy computing, a trusted data financial risk control model is developed to provide financial institutions with a secure data verification channel. Financial institutions can use this channel to accurately verify the credit data of farmers and agricultural enterprises, reduce credit risks, and thus provide credit services to farmers and agricultural enterprises with greater confidence, helping farmers and agricultural enterprises match credit needs and improve production and management capabilities. Offline service stations provide face-to-face consultation and services based on online appointments and user needs. For example, after farmers make an appointment for agricultural product quality testing services online, the staff of the offline service station will provide them with professional testing equipment and technical support, test the quality indicators of agricultural products, and provide corresponding improvement suggestions. Implement a three-in-one service content system that includes industrial services (such as agricultural product sales docking, agricultural production materials supply, etc.), government services (such as government policy publicity, administrative approval agency, etc.), and convenient services (such as water and electricity fee payment, express collection and delivery, etc.), and clarify the specific content, service process and quality standards of each service. For example, in the agricultural product sales matching service, detailed regulations are set out on how the service station collects farmers' agricultural product information, how to negotiate and match with purchasers, how to ensure the logistics and transportation of agricultural products, and other processes to ensure efficient service and reliable quality.

[0047] Enrichment and optimization of agricultural data elements

[0048] Key data such as agricultural production and market transactions are collected through service station platforms and offline surveys. Online, the service station platform sets up a data collection module to encourage farmers and agricultural enterprises to actively upload rural asset data (such as land transfer information, agricultural equipment assets, etc.), crop growth data (such as planting area, yield estimates, etc.), soil conditions (such as soil fertility monitoring data), climate information (such as local temperature, precipitation, etc.), price fluctuations (such as real-time changes in agricultural product market prices) and other data. Offline, organize staff to conduct in-depth surveys in farmland and rural markets to obtain more accurate and detailed data. Establish a data update and optimization mechanism to regularly review and analyze the collected data. For example, update crop growth data once a month, adjust yield estimates and other data according to actual growth conditions; re-test and update soil condition data every quarter to ensure data accuracy. Clean, integrate and standardize data, remove invalid and duplicate data, integrate data from different sources, unify data formats and standards, improve data quality, and provide richer and more reliable data support for agricultural production and management, such as providing accurate soil fertility and climate data basis for agricultural product planting planning, and accurate market price fluctuation information for agricultural product sales.

[0049] Through the above embodiments, the digital rural service station has fully utilized the advantages of the "government support + market-oriented operation" model in the construction and operation process, and has achieved a deep integration of online and offline services by using the system architecture built with cloud service technology. It has provided rural areas with all-round, efficient and sustainable services, and promoted the development of digital villages.

Claims

1. A digital rural terminal service method based on cloud service technology, characterized in that: The following steps are involved: Step 1, construction mode construction, includes the following steps: S1, determine the participants and their responsibilities, including the following steps: select ministerial institutions and central enterprises with relevant professional capabilities and resource integration advantages as the design party, responsible for the overall design and planning work; identify local provincial / municipal / district and county government units as service parties, responsible for coordinating office space to ensure the physical space requirements of service sites, and provide start-up funds for initial facility construction and project promotion; identify corporate units as operators, responsible for investment and shareholding to provide the capital flow required for the project, carry out platform research and development work, covering everything from software architecture design, functional module development to system testing and optimization, and at the same time responsible for the operation and maintenance of the online platform; S2, integrating resources from all parties, including the following steps: the design party integrates various agricultural-related resources; the service party integrates local policy resources and human resources; the operator integrates technical resources and invests in platform construction and service operations; Step 2: Building the cloud service system architecture, including the following steps: T1, system configuration library construction, including the following steps: add tenant number (tenant) and detailed database link data in the user information table, and the database link part also has a tenant field to distinguish different tenants and connect to their exclusive databases; establish the association between the user information table and the database link data, and ensure that the system can accurately identify and manage the information and data access of different tenants through foreign key constraints and index optimization of the database management system; T2, terminal user database management, includes the following steps: creating an independent database for each terminal user; establishing a user login verification mechanism. When a user logs in, the corresponding database connection string is searched in the system configuration library according to the terminal user number (tenant) to connect to the specific terminal user database, realizing independent storage and management of user data; T3, system service and gateway settings, includes the following steps: setting up an identity authentication module in the system gateway to authenticate requests initiated by end users to ensure that the request source is legitimate; establishing routing decision rules to accurately forward requests to the corresponding system services based on request type and target service; configuring a load balancing algorithm to reasonably allocate system resources to ensure that multiple requests can be processed efficiently; Step 3, operation model implementation, includes the following steps: E1, supported by industry departments, includes the following steps: the designer tracks the national agricultural development policy, adjusts the service platform functions and service content to make them consistent with the policy orientation, establishes a special policy research team, regularly collects and analyzes the updates and changes of national agricultural policies and regulations, and converts the policy points into specific platform function requirements and service optimization plans; the service provider builds a cooperation platform to attract various enterprises, research institutions and social organizations to participate, gathers agricultural and rural data resources, and establishes a data sharing mechanism to provide data to relevant parties for use; E2, enterprise operation execution, includes the following steps: Infrastructure construction: The enterprise signs a cooperation agreement with the telecom operator, selects the appropriate network access technology (optical fiber, 4G / 5G) for network deployment according to the characteristics of the service station area, and ensures network coverage; Evaluate the industrial foundation, construction willingness and offline network maturity of the service station area, select the best location to build the service station, and regularly inspect, maintain and upgrade the hardware facilities to ensure the normal operation of the equipment; Operation model promotion: Free content service provision: With the help of the online platform, timely obtain and publish agricultural policy information, use algorithms to intelligently recommend agricultural technology consulting information based on user characteristics, and arrange special personnel at offline service stations to answer farmers' policy questions and provide agricultural technology consulting services; Paid value-added service profit: Cooperate with financial institutions to build an insurance and loan assistance service platform, formulate service fee collection standards based on service content and effect, and provide platform services for product sales companies, including product display booth leasing and marketing and promotion services, and charge services in accordance with the contract. Fees; Service model innovation: Use big data and artificial intelligence technologies to develop online cloud service platform functions, use artificial intelligence algorithms (such as deep learning algorithms) to analyze and mine data, build user portraits and agricultural production models, and implement personalized agricultural service recommendations based on user portraits (such as personalized planting plan recommendations and agricultural product sales channel recommendations). Use blockchain and privacy computing technologies to build a trusted data financial risk control model, provide financial institutions with a data verification interface, and arrange service personnel at offline service stations based on online appointment information to provide face-to-face consultation and services; Enrichment and optimization of agricultural data elements: Set up a data collection portal on the service station platform, upload rural assets, crop growth, soil conditions, climate information, and price fluctuation data to farmers and enterprises, organize offline research teams, regularly go deep into rural areas to collect data, establish a data update plan, regularly review and update data, develop data cleaning, integration, and standardization processing procedures, process the collected data, and ensure data quality; Step 4, data management and utilization, includes the following steps: P1, data collection, includes the following steps: online, setting up a data collection module through the service station platform to guide users to actively input data related to agricultural production and market transactions; offline, collecting data through field research and questionnaire surveys by staff; P2, data processing, includes the following steps: using data cleaning algorithms to remove duplicate, erroneous and invalid data records; developing data integration programs to integrate data from different sources and formats and establish data association relationships; formulating data standardization rules to convert various types of data into a unified standard format; P3, data application, includes the following steps: based on the processed data, use data analysis models to provide farmers with agricultural production decision-making recommendations; provide data to financial institution partners for risk assessment and credit decision-making, while ensuring data security and user privacy protection.

2. A digital rural terminal service system based on cloud service technology, as applied to a digital rural terminal service method based on cloud service technology as claimed in claim 1, characterized in that: Including system architecture, functional modules, and coordination mechanism among participants; The system architecture includes a system configuration library module, a terminal user library module, a system service and gateway module. The system configuration library module archives and stores the basic information and general settings of users and tenants; the terminal user library module is used to store the business-related data of each terminal user, and independently equips each terminal user with a corresponding database; the system service and gateway module is used to receive and distribute terminal user requests, and has identity authentication, routing decision and load balancing functions; The functional modules include an information service module, a data collection and management module, a service docking module, a technical support and maintenance module, and a service evaluation and feedback module. The information service module is used to integrate information resources of agricultural policy information and agricultural technical consulting information, and provide information query and intelligent recommendation services to users with the help of an online platform; the data collection and management module provides an online data collection channel to facilitate farmers and agricultural enterprises to upload rural asset data, crop growth data, soil conditions, climate information, and price fluctuation data, and supports the entry of offline survey data; the service docking module builds a service docking interface for the third-party access platform, and provides product display, marketing promotion and other service docking for agricultural product sales companies; the technical support and maintenance module undertakes the daily technical maintenance of the platform; the service evaluation and feedback module builds a user evaluation system to collect user feedback on service quality and service content; The collaborative mechanism of the participating parties includes the collaborative mechanism of the design party, the collaborative mechanism of the service party, and the collaborative mechanism of the operation party. The collaborative mechanism of the design party is responsible for the overall architecture design and planning of the entire system, and formulates the access guidelines and exemption agreement of the system; the collaborative mechanism of the service party coordinates to solve the problems of office space and start-up funds required for the operation of the system; the collaborative mechanism of the operation party is responsible for investing in the research and development and operation of the system, and transforming the planning blueprint of the designer and the support resources of the service party into practical and operational service products.

Images