771 results about "Rural area" patented technology

The invention discloses an Internet of Things multichannel earthquake early warning emergency linkage system, belongs to the technical field of earthquake early warning, and aims to solve the problems of insufficient real-time performance, reliability, scene coverage and safety in the prior art. The sensing layer collects data cooperatively through various sensors, eliminates environmental interference and ensures high-precision seismic wave detection, the edge calculation layer filters noise in real time by adopting an advanced algorithm, and confirms seismic events through multi-dimensional comparison, so that the local processing efficiency is remarkably improved, the cloud load is greatly reduced, a cloud platform fuses multi-source data, and the seismic detection efficiency is improved. A machine learning model is combined to dynamically optimize an early warning threshold value, the accuracy of earthquake type classification and intensity prediction is improved, full-link optimization from data acquisition to intelligent decision making is realized, a multi-channel distribution module is designed, instructions are transmitted according to priority levels, and urban and rural full-scene coverage is ensured through multiple communication technologies.

The invention relates to the technical field of intelligent distribution, in particular to a power grid load distribution system and method based on intelligent control, and the system comprises a data collection and processing module which carries out the real-time collection and data processing of all node data and meteorological data of a power grid, and obtains the actual power grid load data; the communication network module is used for transmitting the actual power grid load data; the intelligent regulation and control module is used for constructing a rural power grid load model to obtain a load prediction value; the monitoring alarm module is used for monitoring the actual rural electricity consumption condition in real time according to the load prediction value; the system verification module is used for verifying the stability of the power grid after regulation and control configuration, verifying the resource utilization efficiency of the power grid according to the load rate of the transformer, and adjusting the regulation and control configuration; and the execution feedback module is used for performing control strategy command execution on the power grid equipment. The power supply and demand balance of the rural power grid is realized, and the utilization efficiency of power grid resources is improved.

The invention relates to a power system risk assessment technology, in particular to a rural power distribution network time sequence voltage distribution assessment method and system based on probability modeling, and the method comprises the steps: carrying out the GMM modeling of the historical data of distributed photovoltaic and load power, constructing the correlation between distributed photovoltaic output GMM and load power GMM through a Gaussian Copula function, and obtaining a joint distribution model; adopting MCS sampling to generate distributed photovoltaic and load power samples as power injection of the rural power distribution network; a Newton-Raphson method is used to complete rural power distribution network time sequence probabilistic load flow calculation; gMM modeling is carried out on the power flow voltage, and a comprehensive evaluation index based on analytic integration is used for evaluating voltage distribution characteristics. The method can effectively solve the time sequence limitation problem of rural power distribution network static probabilistic load flow calculation under high-proportion distributed photovoltaic and novel load access, depicts voltage time sequence distribution characteristics, dynamically evaluates the voltage out-of-limit risk, and provides decision support for operation optimization of the rural power distribution network.

The invention discloses a method and a device for evaluating the performance of a rural industrial land. The method comprises the following steps: compiling a rural industrial land investigation base map; establishing a rural industrial land base number information base; constructing a multi-dimensional rural industrial land performance evaluation index system; the evaluation indexes are quantified, and the weights of the evaluation indexes are determined; carrying out weighted summation on each quantitative evaluation index and the weight, and carrying out fractal dimension and comprehensive evaluation and grading based on performance multi-factor superposition analysis; and identifying the rural low-efficiency industrial land and extracting the rural low-efficiency industrial land into a low-efficiency industrial land library to generate a rural low-efficiency industrial land identification distribution map. The method has the remarkable effects that the rapid identification of the rural low-efficiency industrial land on the micro scale of the land parcel is realized, and the problem of transformation of the rural low-efficiency industrial land is solved.

The invention discloses a rural land utilization evaluation system and method, and relates to the technical field of land management, and the system comprises a spatial analysis module which obtains a spatial distance value, a land utilization type value and a regional distribution value based on a land unit division result, carries out the superposition calculation of a spatial incidence relation matrix, and extracts the conflict intensity. According to the method, through comprehensive calculation of the spatial distance, the land utilization type and the regional distribution, the land conflict intensity and the dynamic characteristics thereof are quantitatively analyzed, the problem that the land resource conflict distribution is not clearly identified is solved, in the dynamic prediction process, the land dynamic characteristics are quantified through space and ecological connectivity difference operation, and the prediction accuracy is improved. According to the method, land utilization change requirements, economic value and ecological connectivity normalization processing and weighted calculation are effectively coped with, dynamic balance of economic benefits and ecological protection is achieved, limitation of single-dimension evaluation is avoided, and reasonable allocation of land resources is strengthened by adjusting the proportion of economic and ecological parameters through optimization verification and reducing evaluation deviation.

The invention discloses a rural historical building protection evaluation system based on big data, and relates to the technical field of building protection. Comprising the following steps: a data processing module normalizes environmental data to generate an environmental degradation factor, extracts a crack depth parameter and a facade weathering parameter from structure detection data through a feature extraction algorithm, and generates a building life attenuation curve through correlation analysis; and the decision module establishes a maintenance optimization model according to the building life attenuation curve and historical maintenance data, generates a risk level through threshold comparison, evaluates expected effects of different maintenance modes on degradation delay, and outputs an optimal maintenance suggestion. According to the method, accurate prediction of the rural historical building degradation process and optimal recommendation of the maintenance strategy are realized, and the scientificity and efficiency of protection work are improved.

The invention relates to the technical field of rural image inspection and recognition, and discloses a multi-source image collaborative inspection and recognition analysis system and method for a digital rural area, and the method comprises the steps: collecting multi-source image data in real time; obtaining a plurality of characteristic parameters corresponding to each image data item in the image data set, and carrying out space-time registration and multi-scale fusion processing on the plurality of characteristic parameters of each image data item; performing target detection and identification analysis on the plurality of feature parameters in the fusion feature parameter set, and constructing an abnormal point identification model; setting a plurality of abnormal point change thresholds according to the inspection coordinate data set for classification processing to obtain a plurality of abnormal point categories; and setting a corresponding co-processing scheme according to the plurality of abnormal point categories, and setting early warning information corresponding to the change trends of the plurality of abnormal point categories based on the co-processing scheme. According to the invention, the intelligent degree and response efficiency of rural inspection are improved, and the safety and sustainable development of digital rural construction are effectively guaranteed.

The invention discloses a county and rural traffic planning decision-making method and system based on a road traffic index. The method comprises the following steps: acquiring navigation API data, social economic data and POI information related to county and rural traffic planning; the method comprises the following steps: acquiring data, processing the data, then calculating a route growth index, a per-hour time index, a holiday influence index, a broken road index and a planning simulation index, carrying out weighted fusion to obtain a road traffic index, when the road traffic index is calculated, distributing an initial weight for each index, and adopting a self-adaptive weight adjustment algorithm to calculate the road traffic index. Dynamically adjusting the weight of each index according to the real-time traffic data and the simulation result; county and rural traffic planning is carried out by taking reduction of the road traffic index as a target, and a road traffic index difference value before and after planning is calculated as a decision basis. According to the invention, the problem of asymmetry of basic traffic management information is effectively solved, and the connection accuracy of the road network is improved.

The invention relates to the technical field of environmental science and information, in particular to a rural land space carbon emission assessment method, which collects real-time data through a distributed sensor network and an unmanned aerial vehicle remote sensing technology, analyzes and extracts key features by using an adaptive variational auto-encoder and topological data, and effectively identifies a land utilization mode. The graph neural network and the Bayesian optimization generative adversarial network are combined to dynamically evaluate and predict carbon emission, and uncertainty quantitative data are generated; a multi-objective genetic algorithm and a game theory model are used for optimizing land utilization layout, an optimization scheme is executed on a block chain through an intelligent contract and a multi-agent system, and automatic management and dynamic adjustment are achieved; according to the method, the accuracy and the real-time performance of rural land carbon emission evaluation are remarkably improved, and a scientific basis is provided for low-carbon sustainable development.

The invention relates to the technical field of image generation, and discloses a country style and appearance design image generation method and system based on a knowledge graph and a large model, and the method comprises the steps: constructing a core element covering country style and appearance design and a knowledge graph; constructing a multi-level label system based on the knowledge graph; pre-processed rural style and appearance sample images are obtained, the rural style and appearance sample images are labeled based on a multi-level label system, and a special training set in the field of rural style and appearance design is obtained; constructing a basic diffusion large model architecture, and training the basic diffusion large model architecture by using the special training set for the country style and appearance design field to obtain a trained country style and appearance design image generation model; and generating a rural style and appearance design image by using the trained rural style and appearance design image generation model. According to the method, the problems that a general large model is insufficient in domain knowledge support and insufficient in data labeling specialty in rural style and appearance design image generation are solved, and the rural style and appearance design image generation efficiency and quality are improved.

The invention belongs to the field of carbon sequestration, and particularly relates to a carbon sequestration dynamic estimation method for summarizing multi-village carbon emission data, which comprises the following steps: step 1, collecting multi-village carbon emission source data and carbon confluence data with annual time as a period, and numbering the carbon emission source data and the carbon confluence data after the accounting range and boundary are determined according to village levels; the method comprises the following steps: counting carbon emission and carbon sink data of multiple villages in a historical period, acquiring a carbon balance correlation coefficient related to the carbon emission and carbon sink data by virtue of a carbon emission estimation model and a carbon sink dynamic estimation model, and confirming a carbon sink dynamic variable by virtue of the carbon balance correlation coefficient when carbon emission is increased in rural construction. According to the method, the area and space related to carbon sequestration are dynamically adjusted in the country, positive correlation of a carbon sequestration dynamic variable and a carbon emission dynamic variable is ensured, and a corresponding strategy and scheme are proposed based on the carbon sequestration dynamic variable, so that the requirements of carbon peak reaching and carbon neutralization are met when the country is constructed.

The invention relates to the technical field of agricultural development, and discloses a characteristic rural industry green planning system combined with economic analysis, and the system comprises a data collection and analysis module which is used for collecting and integrating policy information, environment data, economic data and market demand information; the environment evaluation and grading module is used for dividing the rural industrial area into a green multi-dominant production area, a pollution-free multi-dominant production area, a green less-dominant production area and a pollution-free less-dominant production area; the industrial planning module is used for designing production, processing, packaging and supply chain schemes of characteristic agricultural products and constructing a brand construction scheme in combination with regional historical and cultural characteristics; the economic analysis module is used for analyzing economic benefits of the industry, evaluating risks and providing an optimization scheme; and the intelligent auxiliary decision-making module simulates economic and ecological influences of different planning schemes. According to the method, intelligent and dynamic planning is realized through reinforcement learning, linear planning and a system dynamics model, and the scheme is quickly adjusted according to real-time environment, economy and policy data.

The invention relates to the technical field of digital villages, in particular to a digital village construction business data analysis method and system, and the method comprises the following steps: obtaining a field detail comparison mapping role and a label, analyzing the field difference and relation to obtain a field reference set, recognizing the field sequence and relation to obtain a field path sequence column, and obtaining a field path sequence column; and extracting a time position matching stage transaction field processing fragment set, reading a position scanning number to obtain a behavior field structure list, and tracking a field line number extraction text to obtain a business data analysis field set. According to the method, semantic association is established by matching field text content, an attribution level is constructed, a circulation path is restored by relying on field positions, continuous fragments are divided by fusing time intervals and stage identifiers, a parallel advancing track is extracted according to a calling range and serial number arrangement, and context content is extracted by tracking field data lines. A data structure view capable of supporting cross-stage, multi-role and multi-context analysis is constructed, and the coverage range and organization ability of field behavior extraction are enhanced.

The invention discloses an intelligent fusion processing method and system for forest and grass wet resource pattern spots and annual land change survey data, and belongs to the field of space-time big data in the natural resource industry, and the method comprises the steps: completing the pattern layer fusion based on the annual land change survey data in combination with forest and grass wet pattern spot survey results; superposing county and rural boundaries to form an administrative fusion layer; performing subcompartment division based on the remote sensing image; merging broken classes according to a principle of adjacent positions and similar types; eliminating a pattern spot sharp angle; land classes are refined, and attribute information is perfected; the public welfare forest range and the protection level are optimized; automatically checking and summarizing to form a result layer; and finally performing statistics to generate various thematic reports. According to the method, technologies such as database storage, spatial index construction and a fusion algorithm are adopted, the data processing efficiency is improved by more than 50%, and the sharp angle processing time is shortened; and the labor cost and the time investment are obviously reduced.

The invention relates to the technical field of rural space governance and intelligent decision making, in particular to a rural space planning method and related equipment, and the method comprises the steps: obtaining multi-source data of a target rural, the multi-source data comprising land data, population data and rural economic data of the target rural; performing fusion processing of space-time alignment on the multi-source data to obtain fusion data; constructing a spatio-temporal knowledge graph based on the fused data, and extracting entity attributes and spatial relationships; and inputting the entity attributes and the spatial relationship into a pre-trained planning optimization model, iteratively optimizing a rural space matching strategy according to rigid constraints, and outputting an optimal planning result, the technical problems that in the prior art, rural planning faces data splitting, element analysis isolation, planning scheme staticization and actual development requirements are disjointed, the decision making process depends on subjective experience, and economic-ecological benefit tradeoff is difficult to quantify are effectively solved.

A small intelligent Chinese cabbage harvester comprises a vehicle body, a harvesting mechanism is arranged at the front end of the vehicle body, a collecting box is arranged on the vehicle body, and the harvesting mechanism comprises a first conveying module, a soil loosening tool rest, a vegetable harvesting shifting rod module and a positioning module. The first conveying module and the vehicle body are obliquely assembled, the lower end of the first conveying module is located at the front end of the vehicle body, and the higher end of the first conveying module is higher than the collecting box. The soil loosening tool rest is fixedly assembled with the vehicle body, and the front end of the soil loosening tool rest exceeds the lower end of the first conveying module. The number of the vegetable collecting shifting rod modules is two, and the two vegetable collecting shifting rod modules are located on the two sides of the first conveying module respectively. The positioning module is assembled and fixed to the vehicle body and used for positioning the positions of Chinese cabbages. Compared with the prior art, the method has the advantages that the method is suitable for small-scale planting in rural areas, and the mechanization level of small-field-mu agriculture can be improved. And the harvested Chinese cabbages have no damage on skins, and the shelf life is greatly prolonged.

The invention relates to the technical field of resource scheduling, in particular to a rural tourism industry chain collaborative optimization method based on a knowledge graph, and the method comprises the steps: constructing a dynamic knowledge graph, generating a personalized itinerary plan, carrying out dynamic resource scheduling and supply chain optimization, carrying out service quality closed-loop control, and carrying out partition graph comparison optimization. Compared with the defect that an existing recommendation system depends on historical static data to generate a fixed route and cannot respond to real-time bearing capacity change to cause excessive crowding of hot scenic spots, the scheme has the advantages that through bearing capacity threshold hierarchical control and a replacement engine dynamic triggering mechanism, knowledge graph correlation degree screening and traffic timeliness constraint are combined, so that the real-time bearing capacity change can be responded; and when overload occurs, automatic shunting is performed to substitute nodes with similar experiences and exclusive preferences are pushed, so that the experience comfort of tourists is guaranteed, regional resource loads are balanced, and dynamic balance of supply and demand is realized.

The invention relates to a mixed scale optimization regulation and control method and device for rural energy and a storage medium, and belongs to the technical field of new energy. According to the method, layered optimization is carried out by establishing a monthly time scale optimization scheduling model, a day-ahead time scale optimization scheduling model and an intra-day time scale optimization scheduling model which are connected with one another, and long-term economic planning and medium-short-term operation scheduling are organically combined, so that multi-target collaboration and multi-energy complementation are realized; specifically, through monthly optimization, an optimal purchase and inventory strategy can be formulated according to seasonal price fluctuation of biomass, the fuel cost is remarkably reduced from the source, and the overall economical efficiency of the system is improved; through a day-ahead gas storage plan and intra-day real-time scheduling, the fluctuation and intermittency of wind energy and solar energy power generation can be effectively stabilized by utilizing the stability and controllability of biomass power generation, and the power load demand can be stably met under various working conditions, so that the stability and reliability of power supply are enhanced, and the energy consumption is reduced. And on-site efficient consumption of rural renewable energy sources is promoted.

The invention discloses a soil and groundwater environment in-situ real-time monitoring system which is installed in a monitoring device and comprises a soil monitoring platform and a groundwater monitoring platform. The soil monitoring platform comprises a soil monitoring module, a basic data module, a first monitoring evaluation module and a collaborative management and control module, and mainly realizes the functions of real-time monitoring analysis, evaluation, environment management and the like of soil related indexes; the underground water monitoring platform comprises a monitoring content module, a monitoring operation module, a monitoring display module and a second monitoring evaluation module, and mainly realizes the functions of real-time monitoring, analysis, alarm, evaluation and the like of underground water related indexes. According to the invention, in-situ real-time monitoring of soil and underground water can be provided at the same time, the monitoring system is constructed by taking construction land and agricultural land soil and underground water environment management as a main line, and monitoring and management of related soil and underground water environments by a plurality of departments such as natural resources, ecological environment, agriculture and rural areas, housing and urban and rural construction can be realized.

The invention discloses a rural area-oriented electric vehicle ordered charging method and a controller, and the method comprises the steps: carrying out the statistics of the charging demand power submitted by an electric vehicle user, so as to obtain the total power of the current charging demand of a rural area; obtaining the current redundant capacity of the transformer in the transformer area of the rural area; according to the total power of the current charging demand of the electric vehicle and the current redundant capacity of the transformer, setting a scheduling limiting capacity; distributing charging power to each electric vehicle according to the proportion of the charging demand power of each electric vehicle to the total power for the scheduling limited capacity; electric energy is dispatched from the transformer area transformer according to the dispatching limit capacity, and charging piles are guided to charge all the electric automobiles based on the distributed charging power. The charging power of the electric vehicle is dynamically regulated and controlled for rural areas, it can be ensured that the transformer is not overloaded in the charging process of the electric vehicle, and the power supply safety of a transformer area is guaranteed.

The invention discloses a digital twinborn visual application platform, and relates to the technical field of rural digital management, and the platform comprises a data collection module which is used for collecting rural basic data and resource configuration data, and converting the data into three-dimensional point cloud data; the digital twinborn modeling module is used for constructing a rural digital twinborn model; the intelligent analysis module is used for collecting real-time production data and inputting the real-time production data into the digital twin model for simulation production simulation and intelligent analysis; and the visual interaction regulation and control module is used for visually displaying the analysis result and supporting an interaction instruction to carry out resource configuration optimization and dynamic production regulation and control. The technical problems that efficient integration and real-time dynamic analysis of rural scene multi-source data cannot be achieved in the prior art, and accurate resource configuration optimization and intelligent production management are difficult to support are solved, and multi-source data integration and intelligent optimization are achieved through the digital twinborn technology; and the rural resource allocation efficiency and the production management intelligent level are improved.

The invention discloses a rural micro-energy grid power distribution method based on multi-agent collaborative decision, and relates to the technical field of micro-energy grids. The method comprises the following steps: acquiring basic information of each power utilization unit in the rural micro-energy grid, constructing a power distribution module of the power utilization unit, and obtaining an initial power distribution vector of the rural micro-energy grid; inputting the initial power distribution vector of the rural micro-energy network into a pre-trained daily power distributor of the rural micro-energy network to generate a daily power distribution vector of the rural micro-energy network; acquiring comprehensive early warning information of the country, and judging whether the power utilization unit has a disaster or not; if no disaster occurs, performing power distribution by using a daily power distribution vector of the rural micro-energy network; and if a disaster occurs, constructing a rural micro-energy network disaster power distribution reconstruction module, generating a rural micro-energy network disaster power distribution vector, and performing power distribution. And on the basis of disaster early warning information, disaster power distribution and reconstruction are carried out, so that the problem of insufficient emergency guarantee capability caused by lack of efficient resource allocation of disaster power supply is solved.

The invention relates to the technical field of big data processing and intelligent optimization, in particular to a rural space optimization method and system, and the method comprises the steps: collecting multi-dimensional data in a rural region in real time, carrying out the dynamic feedback analysis through an AI-driven feedback system, and combining a multi-agent system with a game theory model, thereby generating an optimal space layout path. And then, through association rule mining and a dynamic target re-optimization algorithm, continuously adjusting and optimizing the rural space layout, and realizing a long-acting optimization mechanism. According to the invention, changes can be responded in real time in a dynamic environment, sustainable development of a rural area is ensured, ecological protection, economic benefits and social acceptance are improved, and comprehensive optimization of a rural space is realized.

The invention discloses a system and a method for quickly dividing ecological system restoration requirements, belongs to the technical field of ecological system restoration, and remarkably improves the efficiency and the accuracy of ecological problem identification. By integrating satellite remote sensing, ground monitoring and historical data, key problem areas such as severe water and soil loss areas and vegetation degradation zones can be quickly locked, and restoration priorities are automatically divided. Traditional manual evaluation needs an analysis process of several months, the system can be completed in several days, subjective judgment errors are avoided, and the scientificity of degradation grade judgment and restoration scheme matching is ensured. Besides, the dynamic tracking module monitors the restoration effect in real time and adjusts engineering parameters in time, the problem of resource waste caused by traditional'one-time treatment 'is solved, the integrity of the ecological barrier is guaranteed through the multi-dimensional balance mechanism, development space is reserved for village revitalization, and bi-directional improvement of ecological benefits and economic and social benefits is truly achieved.

According to the rural air conditioning device, coal or biomass straw is adopted as fuel, the energy storage technology is combined, flue gas waste heat generated by a kitchen range device is efficiently recycled and stored, the stored energy is used for dragging an absorption type refrigerating device to be used for refrigerating and heating air, and an adopted regenerator can flexibly adjust the operation mode and is used for peak clipping and valley filling; the energy-saving kitchen range is used for refrigerating, heating or drying clothes, the power consumption is low, the comprehensive heat utilization efficiency of the kitchen range is greatly improved, the market application space is obvious, and the expected economic, social and environment-friendly benefits are remarkable.

The invention discloses a rural power distribution network-oriented network tracking / constructing type source storage stability evaluation and planning method, and relates to the technical field of rural power distribution networks, and the method comprises the steps: constructing an inverter control model, and building a quantitative relation between an inverter capacity ratio and a system short-circuit ratio; according to the control model, an inverter hybrid system is established, and stability weak nodes are identified through characteristic value analysis of a system state matrix; and on the basis of the quantitative relationship and the stability weak nodes, calculating the energy storage capacity of the network to be constructed, and performing iterative configuration according to a preset priority until the stability requirement of the system is met. According to the method, accurate identification of the stability weak nodes and accurate configuration of the constructed energy storage are combined, accurate processing of the risk of the stability weak nodes of the rural power distribution network is realized, the disturbance resistance and the new energy consumption level of the rural power distribution network are improved, and stable, safe and efficient operation of the rural power distribution network is realized.

The invention discloses a rural micro-grid group dynamic optimization method, system and device, a medium and a product, and relates to the field of power grid optimization control, and the method comprises the steps: obtaining the operation data of a rural micro-grid group; preprocessing the operation data to obtain preprocessed data; constructing a space-time twin CNN-LSTM model comprising a dynamic perception convolution space feature extraction module, a time sequence adaptive LSTM time feature extraction module and a space-time feature fusion module; inputting the preprocessed data into a time-space twin CNN-LSTM model to obtain a state prediction result of the rural microgrid group in a set time; and taking each micro-grid in the rural micro-grid group as an agent, and realizing dynamic optimization scheduling of the rural micro-grid group by combining a multi-agent reinforcement learning algorithm based on a state prediction result. According to the invention, the problem of delay and deviation in monitoring the overall operation state of the micro-grid by a control center at present can be solved.

The invention belongs to the technical field of power system control, and particularly relates to a refined time sequence operation simulation method based on a novel rural power system. Comprising the following steps: S1, collecting economic and technical parameters of each element in a power system; s2, constructing a target function of a time sequence operation simulation model based on an alternating current power flow model; s3, establishing a time sequence operation simulation model based on the refined power flow; s4, adding a second-order cone relaxation constraint and a phase angle recovery condition into the model; s5, solving the time sequence operation simulation model in different time periods through commercial software; through the above steps, the fine time sequence operation simulation method based on the rural novel electric power system can set a long time sequence decomposition time period to realize fine analysis of the annual operation condition of the rural electric power system while ensuring the solving efficiency.

The invention discloses application of privacy matrix decomposition on medical recommendation service based on a large language model. The system comprises a data acquisition module; a privacy matrix decomposition module; a large language model processing module; a recommendation decision module; the user interface module breaks through the restrictions of regions, time and professional resources through personalized online medical recommendation services, can obtain high-quality medical consultation and health recommendation services for social vulnerable groups such as remote areas, rural areas, old people and patients with mobility difficulties, promotes fair distribution of medical resources, enhances user trust, and improves the user experience. Particularly, due to the application of a privacy matrix decomposition technology, worries of a user on personal health data safety are eliminated, the trust degree of the user on a medical platform is improved, health consultation service popularization is promoted, the overall health management consciousness and the self-health-care ability of the society are improved, medical knowledge and health management concepts are popularized by means of a convenient online platform, and the health management system has a wide application prospect. Misdiagnosis and treatment caused by asymmetry of medical information are reduced, and the health quality of the whole society is improved.

The invention discloses a village island micro-grid virtual synchronous machine parameter optimization and cooperative control method oriented to frequency support, and relates to the technical field of electrical automation, and the method comprises the steps: obtaining village power distribution network parameters and load side parameters, and basic technical parameters of each virtual synchronous machine unit; constructing a standard dynamic model of the virtual synchronous machine based on the obtained parameters; introducing uncertainty integrated design on the basis of the standard dynamic model of the virtual synchronous machine, and performing equivalent aggregation on all the virtual synchronous machines to obtain a virtual synchronous machine uncertainty model; based on the uncertainty model of the virtual synchronous machine, establishing a cooperative control model by taking system frequency fluctuation minimization as a target; and solving the cooperative control model by using a commercial solver, and solving the power of each device. According to the invention, by constructing an optimization and cooperative control mechanism oriented to frequency support, the problem of over-limit of frequency deviation and frequency change rate is effectively suppressed, and the dynamic response capability of the island micro-grid under the condition of sudden load change is improved.