621 results about "Rural area" patented technology

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 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 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 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 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 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 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.

The invention discloses a kit for simultaneously detecting listeria monocytogenes and a drug-resistant gene fosX, and belongs to the technical field of bacterial molecular diagnosis. In order to solve the technical problems that in the prior art, a traditional method for detecting the listeria monocytogenes and the drug-resistant genes fosX of the listeria monocytogenes is low in efficiency and high in equipment dependence degree, the invention provides a kit for simultaneously detecting the listeria monocytogenes and the drug-resistant genes fosX of the listeria monocytogenes, and the kit comprises an EmDEA specific primer pair and an RNA probe, and a nucleic acid amplification group enzyme system and a signal amplification group enzyme system. The kit for simultaneously detecting the listeria monocytogenes and the drug-resistant gene fosX of the listeria monocytogenes, provided by the invention, has relatively strong specificity, repeatability, stability and reliability, and the sensitivity can be as low as 500 copies / mu L. The kit provided by the invention is simple in operation process, can be carried to rural sites, remote areas or any other scenes needing instant detection for detection, and has a wide application prospect.

The invention discloses a wind-solar-storage integrated direct-current micro-grid device and a control method, and relates to the technical field of rural distributed energy. The device comprises a perovskite photovoltaic module array, a vertical axis fan set, a lithium iron phosphate energy storage module, a direct-current power distribution unit, an intelligent control module and a household direct-current terminal, each energy unit and a load are directly connected through a direct current bus, AC / DC conversion loss is reduced, the intelligent control module dynamically adjusts a wind-solar-storage cooperative operation strategy based on illumination, wind speed and electrical load data, and the functions of five-hour stable off-grid power supply and peak-valley arbitrage are achieved. The method adapts to a rural farm house roof resource concentration scene, solves the problems of high loss and poor off-grid stability of a traditional alternating current micro-grid, remarkably improves the energy utilization efficiency, reduces the electricity utilization cost of farmers, and can be widely applied to energy transformation projects in rural areas such as coastal areas.

The invention provides a rural sewage treatment simulation optimization method based on a cellular automaton, which comprises the following steps of: establishing a cellular grid, and defining basic attributes of cells according to space coordinates, terrain types, population density and sewage treatment capacity; according to the sewage treatment scene, respectively establishing a cellular state evolution rule base; the sewage treatment scene comprises a pipe network collection type, an ecological wetland type and a decentralized recycling type; acquiring environmental parameters and pollutant parameters of a target area to be subjected to sewage treatment; selecting a cellular state evolution rule base according to input environmental parameters and pollutant parameters of a target area to be subjected to sewage treatment; and performing sewage treatment simulation, optimizing the sewage treatment simulation process by the cellular state evolution rule base, and outputting a sewage treatment facility layout scheme and a dynamic control strategy. The sewage treatment scheme can be quickly generated, the optimal sewage treatment scene model is automatically selected according to actual conditions, and accurate customization of the sewage treatment scheme is realized.

The invention provides a flexible interconnection device site selection method and system based on distributed resource clustering, and the method comprises the steps: constructing a photovoltaic output feature map Laplacian matrix and a load feature map Laplacian matrix according to the photovoltaic output and load data of a planning region, decomposing the constructed matrixes through DGRNMF, and obtaining a distributed resource cluster; solving a photovoltaic clustering center curve and a load clustering center curve according to a decomposition result through a k-means clustering algorithm, and dividing the photovoltaic clustering center curve and the load clustering center curve into an urban region and a rural region; constructing constraint conditions of the power supply grid segmentation model to obtain the power supply grid segmentation model; and solving the power supply grid segmentation model to obtain an optimal power grid partitioning scheme, and determining a candidate installation position of the flexible interconnection device according to the optimal power grid partitioning scheme. According to the invention, the precision and reliability of the flexible interconnection device site selection planning decision are improved.

The invention provides a rural energy block chain credibility measurement method, which comprises the steps of obtaining historical storage data and processing records, judging whether record missing exists or not by comparing the traceability integrity of a storage link with the consistency of the processing records, and if so, marking and extracting historical logs from the record missing; integrating the transaction data integrity score, the moisture content fluctuation amplitude, the impurity content abnormal probability and the energy conversion rate to construct a health index system, performing weighted calculation to obtain a block chain comprehensive health score, and generating a health state report; and if the health state report is abnormal, obtaining a transaction record related to the health state abnormity from the corresponding node, identifying the relevance of the abnormal node, generating an isolation instruction, and updating the reputation rating of the related node in the block chain.

The utility model discloses a folding type subsurface flow wetland capable of being produced in batch, which relates to the technical field of sewage treatment, and comprises an anti-seepage film and a cushion layer which are paved in a plain soil pit, the cushion layer is filled in a closed area enclosed by the anti-seepage film, the cushion layer comprises a packing layer and a soil mellow layer, the packing layer is paved on the anti-seepage film, and the soil mellow layer is paved on the packing layer. According to the rural domestic sewage treatment device, sewage is treated through a microbial soil infiltration treatment technology, the rural domestic sewage treatment effect is considered, meanwhile, the construction difficulty is small, the occupied area is small, the construction period is shortened, and the construction cost is reduced. The system can be fully integrated into a small vegetable garden or small garden ecological system of a peasant household, protects the farmland cultivation and planting habits of the peasant household, is small in investment and low in cost, and meets the requirements of domestic sewage treatment and recycling in vast rural areas.

The invention discloses a rural energy system multi-energy load scene construction method, and relates to the field of comprehensive energy, and the method comprises the steps: obtaining a historical multi-energy load time sequence of a rural energy system; according to the historical multi-energy load time sequence, a scene generation model is adopted to generate a multi-energy load scene set in a future time period; the scene generation model is constructed based on a Transform model and a regularization relative loss generative adversarial network, and a cosine annealing algorithm and a hot restart mechanism are adopted to dynamically adjust the learning rate when the scene generation model is trained; and reducing scenes in the multi-energy load scene set by adopting a dynamic time warping distance method and a K-Medoids clustering method to obtain a typical multi-energy load representative scene set. According to the method, on the basis that the generated scene keeps a certain diversity, the historical data evolution law and the coupling characteristic between the source and the load are restored to the maximum extent, and extraction and reduction of the representative scene are achieved.

The present application relates to the field of sewage purification, and discloses a household micro sewage treatment system and a sewage treatment method, which comprises the following steps: building a septic tank; preparing a household micro sewage treatment system, an aeration system and suspended filler for microbial attachment; pumping clarified liquid by a lifting pump, and the clarified liquid enters a contact oxidation zone, and microorganisms degrade COD and BOD in the clarified liquid; the clarified liquid at the contact oxidation zone flows into an electrocoagulation zone, and electrocatalytic flocculation is performed; then, pollutants and phosphorus in the clarified liquid are filtered by a filtering zone, and the clarified liquid forms purified water; the purified water is taken from a water outlet zone, and is used for crop irrigation; or, a landscape zone for breeding aquatic plants or plankton is arranged at the water outlet zone. In the present application, the contact oxidation zone, the electrocoagulation zone, the filtering zone and the water outlet zone are sequentially and continuously arranged from bottom to top, and the arrangement structure of the whole household micro sewage treatment system is compact, and it is more convenient to arrange the system in a separate house environment in rural areas.