46 results about "Urban community" patented technology

The invention discloses an urban healthy community space intelligent assessment method and system, and relates to the technical field of urban space intelligent assessment and healthy community planning, and the method introduces space grid division, street network modeling and graph theory analysis technologies, achieves the high-precision modeling and reachability simulation of an urban community space, and achieves the intelligent assessment of the urban community space. And the coverage capability and the service balance of the 15-minute walking life circle of residents can be accurately evaluated. According to the method, the reachable path network taking each grid unit as a starting point can be dynamically constructed, and the service accessibility level and the comprehensive service scoring index of each grid are quantitatively evaluated according to the quantity vector of the resident reachable service facilities. By setting dual thresholds of coverage rate and score, a'potential function blind area 'is intelligently identified, and a'cold space grid' is accurately discriminated by further combining a resident popularity activity sequence, so that scientific support and decision basis are provided for subsequent city updating, service facility layout optimization and community health space transformation.

The invention discloses an urban community public space residence vitality measurement method based on spatiotemporal behaviors, and the method is characterized in that the method comprises the following steps: S1, determining a sample; s2, defining a space range; s3, acquiring resident resident activity data; s4, determining community public space information; s5, calculating a residence vitality index; S6, constructing a residence vitality measurement model; and S7, introducing the data and calculating the residence vitality of the public space of each community. According to the method, data acquisition, statistics and analysis are carried out based on actual daily travel behaviors of community residents, and the resident activity distribution condition of the community public space obtained through representation can more truly describe the use condition of the residents on the community public space, so that the actual demands of the residents are mined, and the resident experience is improved. Therefore, the rationality and effectiveness of urban community public space planning are evaluated more accurately, and targeted technical guidance and theoretical support are provided for updating and optimization of the mountain community public space.

The invention discloses a configuration efficiency evaluation method for urban community child public service facilities, and the method comprises the steps: obtaining POI data points of the community child public service facilities, a community range, a road network and community child population data, and importing the data into an ArcGIS, and enabling the data to serve as a community base map; according to the community base map, dotted processing is carried out on the community child population data and the community child public service facility data, and spatial density analysis is carried out on the community child population data and the community child public service facility data; the method comprises the following steps: dividing community child public service facilities into six types, and performing spatial assignment on POI points of various types of facilities in ArcGIS to complete classification processing; spatial layout features of the community children public service facilities are obtained through a kernel density analysis method, and reachability analysis is carried out on POI data of the community children public service facilities in combination with a community road network; density center comparison is carried out according to the community child population space density data and the community child public service facility space density data, correlation analysis is carried out on reachability data of the community child population space density data and the community child public service facility space density data through a Gini coefficient, and the community child public service facility configuration efficiency evaluation grade is determined.

The invention discloses an urban multi-objective collaborative optimization method and system based on deep reinforcement learning, and the method comprises the steps: providing or constructing a building performance agent model, taking a group of urban form design variables as input, and taking a building performance evaluation index as output; constructing a multi-objective collaborative optimization problem into a Markov decision process, and defining the action, state and reward function of an intelligent agent; and training the intelligent agent by adopting a deep reinforcement learning algorithm, and generating an urban form design scheme by applying the optimal decision strategy after training convergence. According to the method, a static and high-dimensional optimization problem is converted into a dynamic decision learning process, and the multi-target and nonlinear complex optimization problem in urban form design is efficiently solved by utilizing the autonomous exploration and optimization capability of deep reinforcement learning; the optimal solution set considering energy efficiency, renewable energy utilization and human settlement environment quality can be quickly generated, and automatic and intelligent decision support is provided for planning and design of sustainable urban communities.

The invention relates to the field of community public service facility planning, in particular to a community public service facility refined configuration method, and provides an urban community public service facility refined planning method based on demand density. Integrating a facility demand density database; determining demand density threshold parameters of various types of community facilities, and debugging to obtain a refined facility content system; acquiring basic data such as a community road network and a community boundary to form a community basic information database; a community center point site selection algorithm is developed from three dimensions of road network reachability geometrical shape-demand density by using an ArcGis platform, boundaries are calibrated in combination with a multivariate method, and living circle boundaries of communities are re-divided for 5-10-15 minutes; carrying out ideal space layout and merging optimization on the facilities in combination with a refined facility content system; and comparing and correcting the new community facility layout with the original facility layout.

The invention provides an intelligent service system and device for urban community micro-grid governance, and belongs to the technical field of community intelligent services, the system comprises a community data acquisition module, a community data management module, an intelligent algorithm module, a service function module, a micro-grid task module and an application execution module; deeply mining multi-source data of grid management basic data and community monitoring data; according to the community intelligent management system, community data overall management is realized by combining a database, a computing cluster device and a deep learning framework, multiple functions of resident community life circle, community position space management, community event intelligent processing and personnel service management are realized by utilizing an artificial intelligence model algorithm, and community intelligent management efficiency and service level are improved; the problems that an existing micro-grid intelligent governance framework is not clear, data collection and processing are difficult, task distribution responsibility is not clear, service quality is not high, and the intelligent degree of event processing is low are solved.

The invention discloses an urban residential quarter housing occupancy rate prediction method and device and a medium, and relates to the field of housing occupancy rate prediction.The method comprises the steps that an urban residential quarter housing occupancy rate estimation model is built based on urban residential quarter basic information and mobile phone signaling data, and correction is conducted through the actually-collected housing occupancy rate; according to the spatial range boundary, the terrain, the PM2.5 concentration, the POI, the urban road network, the NPP-VIIRS and the urban community house price of the to-be-predicted urban residential community in the set time period, determining characteristic index data, and aligning the spatio-temporal data to obtain processed characteristic index data; and through a mixed multi-head attention mechanism coupled with an efficient routing strategy and a long short-term memory network, constructing an urban residential quarter housing occupancy rate prediction model, inputting the processed characteristic index data, and determining a predicted value of the housing occupancy rate of the urban residential quarter to be predicted. According to the invention, accurate prediction of the housing occupancy rate of the urban residential quarter is realized.

The invention discloses a multi-agent collaborative urban community space planning method and device based on large model driving. The method comprises the following steps: converting original urban space data into a structured community space distribution diagram; a planning agent is constructed, the community space distribution diagram is understood and analyzed by using the planning agent, and an initial city planning scheme is output; dividing the initial city planning scheme into a plurality of community areas, and generating local optimization suggestions by a plurality of community planning reviewer agents; and fusing the community optimization suggestions by a high-level planning agent, carrying out global reasoning and coordination, and outputting a final urban space planning scheme. Through cooperative work of multiple types of agents, the intelligent level, cooperative efficiency and service fairness of urban space planning are improved, and the problems of lack of multivariate value expression in traditional generative planning, high labor cost and slow response in participative planning and the like are solved.

The invention discloses a multi-agent-based space-time activity analysis and prediction method for urban empty nesters. Comprising the steps of collecting extrinsic features of community residents and constructing a space-time activity sand table, identifying urban empty-nest elderly people and staying points thereof, constructing a typical space-time activity chain of the urban empty-nest elderly people, constructing a multi-agent model of the urban empty-nest elderly people, simulating and screening demands of the empty-nest elderly people, and generating a public service facility layout optimization scheme. And the requirements of the empty nesters are visualized. According to the method, high-precision resident extrinsic features and high-resolution spatial data are acquired, and a multi-agent model is adopted to simulate and screen the demands of the empty-nest elderly, so that full-coverage, precise and multi-dimensional identification of the activity demands of the empty-nest elderly under an urban scale is realized; and a reliable basis is provided for perfecting urban community public service facilities and improving the life quality of old people.

The invention relates to the technical field of urban hydrological simulation. The invention discloses an urban community surface ponding simulation method considering a roof structure, and the method comprises the steps: obtaining a regional multi-angle picture through an oblique photography unmanned plane, generating an oblique photography model through image processing, and reconstructing a digital surface model according to the oblique photography model; ground data are separated from the DSM through a PMF method, roof data are extracted in combination with building features, mask data are output, other ground features are removed, and building roof elevation grid data are obtained; calculating the gradient of the roof, dividing the gradient into flat and sloping roofs, building drainage structures into roof drainage models, integrating the roof drainage models with the urban community hydrological model considering the roofs, and running to realize surface ponding simulation. The method comprises the following steps: building a high-precision model through an oblique photography unmanned aerial vehicle and a GIS, separating ground data through a PMF, and accurately dividing a flat / slope roof through median filtering and an SVM; special drainage structures are arranged for the two types of roofs; and integrating the roof drainage model and a two-dimensional coupling hydrological model, and outputting an accumulated water thematic map.

The invention provides an urban community environment cognitive health risk assessment method based on an intelligent technology, and relates to the technical field of health community evaluation, and the method comprises the steps: obtaining a cognitive health feature vector; preprocessing the cognitive health feature vectors to obtain a training set and a test set with interactive feature data; inputting the training set into an extreme gradient boosting model for training to obtain a trained extreme gradient boosting model; inputting the test set into the trained extreme gradient boosting model to test the performance to obtain a final extreme gradient boosting model, and analyzing the cognitive health feature vector to obtain the gain importance of the corresponding feature; and performing normalization and sequential arrangement on the gain importance, constructing an environment cognitive health risk assessment index library, analyzing index data, obtaining an environment cognitive health risk level of the corresponding community, and completing assessment of the environment cognitive health risk of the urban community. The problem that the urban community environment cognitive health risk is difficult to accurately evaluate is solved.

The invention discloses an urban community household charging pile harmonic suppression method, which comprises the following steps: S1, collecting voltage and current data of a charging pile under different working conditions, analyzing harmonic generation characteristics, constructing a harmonic mathematical model, and determining typical harmonic frequency and amplitude range; s2, an FPGA real-time data processing architecture is designed according to the harmonic model, a high-speed data acquisition module is established, and real-time acquisition and accurate identification of harmonic signals are realized; s3, on the FPGA platform, based on the real-time harmonic spectrum data, deploying an adaptive harmonic suppression algorithm, dynamically filtering the target harmonic frequency, and reducing the harmonic content; and S4, according to suppression effect feedback, FPGA control parameters are optimized, energy consumption and cost of the device are reduced, and precise and efficient harmonic suppression performance and economical efficiency balance is achieved. The method can ensure that the current waveform of the charging pile meets the power grid standard, remarkably improves the harmonic suppression efficiency and the economical efficiency of the device, and reduces the energy consumption and the equipment maintenance cost.

The application provides a kind of urban community ecological resilience rapid evaluation method and system, it is related to the present situation evaluation and urban renewal planning management technical field of national space planning.The method first collects city index data, establishes city standard database;Then calculate the resilience evaluation value of each community in the city in three dimensions of scale, density, form, generate the comprehensive sorting index of each community;Again, the comprehensive sorting index of each community is arranged in ascending order, and the final community sorting sequence is obtained, and the resilience benchmark value of the three dimensions of the community is determined;Finally, the resilience of each community in three dimensions is classified, and the community is divided into strong resilience community and weak resilience community;Based on the resilience classification of community in scale, density, form resilience three aspects, the comprehensive resilience of community is evaluated.The method takes community as the minimum unit of resilience evaluation, constructs the evaluation index of urban community ecological resilience, and realizes the evaluation of community ecological resilience quickly.

A community-based nature conservation planning system for pilgrimage cities, consisting of: A data collection module gathers qualitative data from various stakeholder groups, including residents, government officials, non-governmental organizations, tourists, pilgrims and businesses, using surveys and questionnaires; a module for identifying interest groups, configured to classify interest groups based on their attributes such as power, legitimacy and urgency, and to divide the interest groups into primary, secondary and tertiary interest groups; a community mapping module configured to generate a shared cultural heritage map by aggregating data on cultural heritage sites, priority intervention areas, indicators of physical impact, indicators of economic impact, and indicators of socio-cultural impact of pilgrimage tourism; a participation assessment module configured to evaluate the level of citizen participation in urban conservation by analyzing stakeholder responses and determining the level of participation based on predefined criteria; a framework generation module consisting of a computing processor configured to generate a cyclical and iterative community-based nature conservation framework consisting of several phases, including defining objectives based on community needs and goals, analyzing information exchange, identifying appropriate forms of community participation, jointly developing nature conservation plans, and identifying intervention strategies; a data storage module configured to store the collected data, the shared cultural heritage map, the evaluation results, and the generated framework; and a user interface connected to the data storage module and configured to display conservation strategies and dissemination recommendations based on the generated framework for implementation in the pilgrimage cities.

The present application relates to the technical field of plant intelligent identification, and particularly relates to a method for intelligently identifying pollen-allergic plants based on a YOLO network. The method comprises the following steps: collecting video data of pollen-allergic plants in the air in urban streets, and constructing an image data set of pollen-allergic plants in the air; using LabelImg software to label the categories of pollen-allergic plants in the air in the images in the image data set of pollen-allergic plants in the air, and automatically generating an.xml file; training and optimizing a YOLOv8 model, saving the best weight file after training, and obtaining a YOLO intelligent identification model for pollen-allergic plants in the air; inputting video data to be detected or pictures to be detected, detecting the video data, and outputting corresponding target detection results. The method of the present application is used for identifying pollen-allergic plants in urban streets, and provides a reference for urban community layout, selection of greening tree species, and community configuration, and has the characteristics of high identification accuracy.

The utility model provides a fish and vegetable symbiotic farm device, belongs to the technical field of agricultural product planting, aims to improve and enrich urban community life, and provides a device which can be connected with community members to feed fish, plant and harvest fresh agricultural products together and provide a space for science popularization education at the same time. A bottom support assembly; the bottom of the folding assembly is in sliding connection with the bottom supporting assembly. The farm planting device is slidably connected with the bottom supporting assembly and the folding assembly. The nutrient conveying mechanism is mounted in the farm planting device; the control mechanism is mounted on the surface of the farm planting device and is connected with the nutrient conveying mechanism; the shed cloth can be folded and stretched, so that agricultural products in the vegetable water culture box can be conveniently visited and checked; the system can be used for receiving fresh agricultural products and can also provide a space for science popularization education; the vegetable water planting box can be communicated with water in the water pool, and the fish and vegetable symbiosis effect is achieved.

A sponge facility spatial layout optimization method for urban community rainfall flood regulation and storage comprises the steps that firstly, multi-source data of a research area is collected, sub catchment subareas are divided, hydrological parameters are extracted, the current annual rainstorm runoff process is simulated through an SWMM model, and the regulation and storage requirements of all the sub catchment subareas are calculated; 2, two-dimensional hydrodynamic simulation is carried out through an SWMM coupling LISFLOOD-FP model, and a ponding depth distribution diagram is obtained. And 3, based on the multi-source data and the ponding depth distribution map, combining sponge facility layout conditions, constructing a suitability evaluation system, generating a comprehensive suitability score map, and dividing priority areas. And 4, constructing a regulation and storage target equation according to the regulation and storage demand and the suitability score map, solving a facility area combination meeting the regulation and storage demand, and screening out a minimum cost scheme. And 5, performing multi-objective optimization on the facility layout in combination with the ponding depth distribution diagram and the priority region, and screening out an optimal layout scheme. According to the method, the optimal facility layout is provided for each sub catchment area, and the regulation and storage efficiency and the space adaptability of sponge facilities are effectively improved.

This application relates to a method and apparatus for analyzing community fire-causing factors based on internet commercial data, comprising the following steps: collecting multi-source internet data of the target community and its surrounding areas; constructing a dynamic community profile including structural, economic, and behavioral characteristics based on the preprocessed multi-source internet data; constructing a multi-stage fire risk prediction model and performing fire risk prediction using the multi-stage fire risk prediction model to obtain a fire risk assessment result for the target community; constructing a multi-layer heterogeneous fire graph of the community based on the fire risk assessment result; and determining the fire-causing factors and fire-causing chains of the target community based on the multi-layer heterogeneous fire graph. Real-time capture of key fire-causing factors provides strong data support and technical assurance for fire management departments to accurately locate hidden dangers and efficiently allocate prevention and control resources, contributing to improving the intelligence and refinement of modern urban community fire safety governance.

The invention belongs to the technical field of urban planning and public management, and discloses a spatial recognition method, device and equipment for an urban functional community based on a complex network and a medium, and the method comprises the steps: obtaining the geographic data of an urban residential area and the point-of-interest data of various life service facilities; the method comprises the following steps of: quantitatively calculating the function interaction strength between any two residential areas by analyzing the spatial configuration relationship between the residential areas and various life service facilities under the guidance of a life circle theory, and constructing an urban residential area function network which takes the residential areas as nodes and the interaction relationship as edges by taking the strength as a connection weight; a community detection algorithm is applied to an urban residential area function network, node clusters which are closely connected in the network are detected, and each identified cluster is defined as an urban community unit, so that division of urban functional communities is completed.

The application discloses a kind of urban community low-carbon renewal multi-objective optimization processing method and system, belong to big data technical field.It includes the following steps: obtaining data and processing data, the data obtained includes geographic space data and population data, constructs multi-objective optimization agent database and space database;According to the agent database constructed, create multi-objective optimization simulation model;According to simulation model and combine external influence parameter, design update process mechanism, formulate update scheme selection scene and condition and agent interaction, generate optimal update strategy;Extract and visualize multi-objective optimization result of update strategy.Compared with prior art, the beneficial aspects of the present application are that multi-objective optimization based on multi-agent interaction and spatiotemporal visualization of update process are realized, the interaction between and within update subjects such as residents and government is simulated, and multi-objective optimization such as minimum cost, maximum carbon reduction and maximum resident satisfaction is completed.

The invention provides a community micro-brain digital analysis system and method for urban governance, and relates to the technical field of urban community governance, and the method comprises the steps: collecting multi-source heterogeneous data of urban community public facilities, constructing a facility digital model in a community micro-brain system, and recording health reference data; detecting according to a preset period through the digital sensor network of the key part of the facility to obtain a waveform sequence reflecting the internal state change; through comparison with health reference data, a waveform change rule is identified, a state change track is established, and a health quantitative index is generated according to a waveform attenuation degree and morphological distortion characteristics; and the system performs multi-dimensional correlation analysis on the indexes and the multi-source heterogeneous data, generates a treatment strategy containing maintenance priority and resource allocation suggestions, transmits the treatment strategy to a community management platform to form an allocation scheme, and displays the full-life-cycle state of the facility in a digital model, so that the full-life-cycle intelligent monitoring and treatment optimization of the community facility can be realized.

The invention discloses an urban community waterlogging toughness portrait construction method and system based on a rainwater overload rate, and relates to the technical field of urban safety toughness portrait construction. The method comprises the following steps: acquiring post-raining state scene data of a target area, and preprocessing the post-raining state scene data; calculating surface runoff generation features and surface confluence features of the target area in real time based on the preprocessed post-rain state scene data; and calculating a rainwater overload rate of the target area according to the surface runoff generation characteristics and the surface confluence characteristics, and constructing a waterlogging toughness portrait of the target area based on the calculated rainwater overload rate. By means of the method, the problems that existing waterlogging toughness evaluation is static and dynamic portraying is difficult can be effectively solved, the rainwater overload rate serves as a core toughness index in a breakthrough mode, the dynamic toughness portraying of an underlying surface system of an urban community is achieved, and therefore the precision of the constructed urban community waterlogging toughness portraying is improved.

The invention relates to the technical field of smart city evaluation, in particular to a smart city evaluation method and system based on artificial intelligence. The method comprises the following steps: acquiring a smart city evaluation index, acquiring a city ground environment image through a satellite image acquisition system, analyzing the city ground environment image, an appearance evaluation index and an appearance index weight coefficient, and generating an appearance characterization value of the smart city; to-be-evaluated city data of the smart city are obtained, the to-be-evaluated city data comprise city network data, city logistics data, city community data and city traffic data, the to-be-evaluated city data, the non-appearance evaluation indexes and the non-appearance index weight coefficients, and non-appearance characterization values of the smart city are generated; and determining the smart city grade corresponding to the to-be-evaluated smart city according to the appearance characterization value and the non-appearance characterization value. The smart city evaluation method and device can improve the accuracy of smart city evaluation.

The invention discloses a community life circle identification method based on a public service map. The method comprises the following steps: step 1, integrating a community public service database; 2, building a community basic information map; 3, building a public service facility map; step 4, community public service atlas integration; 5, dividing a community life circle; and step 6, carrying out visual integrated display. Attribute information about distribution, facility function types and service levels of public service facilities in an urban community is intelligently recognized through space calculation and a map technology and is translated into a division rule of a community life circle, and accurate recognition of the community life circle and service functions of the community life circle is achieved.

The utility model discloses a rainwater utilization system for a sponge community, which comprises a sunken greening square arranged on one side of a community building, the sunken greening square is of a structure which is low in the middle and high in the periphery, and a storage and drainage mechanism is arranged at the lowest position of the middle of the sunken greening square. A vertical pipe mechanism connected with a roof water outlet of the community building is arranged on the side, close to the community building, of the sunken greening square. The urban rainwater management problems of peak flood flow increase, runoff coefficient increase, non-point source pollution load aggravation and the like caused by the increase of the impervious area of the community are effectively relieved, the influence on hydrological characteristics is reduced, the natural hydrological function is maintained and protected, and the system can be widely applied to urban community construction.

The application discloses a construction method of a shallow geothermal energy utilization system for urban communities, which comprises a pit foundation, wherein the pit foundation is sequentially provided with a bottom plate, a first soil layer, a pipe row, a first isolation layer, a second soil layer, a second isolation layer and a third soil layer from bottom to top; the pipe row forms a loop and is connected with a vertical ground-buried heat exchanger; the first isolation layer is laid by using an isolation layer laying device; and adjacent second isolation layers are fixed by a cross plate and a screw. The shallow geothermal energy utilization system can maximize the utilization of resources, meet the requirements of energy saving and environmental protection, and prolong the service life by reducing the damage rate of materials in construction by using the method. The isolation layer laying device is used in construction, so that the laid geomembrane is flat and beautiful, the burden of public personnel is reduced, and the geomembrane is convenient and easy to operate.

The invention provides an urban and rural community life circle public service facility data processing and configuration optimization method, and belongs to the technical field of urban and rural planning and urban and rural simulation. The method comprises the following steps: dividing a city into standard grids, and screening a core area and a buffer area; building a graph retrieval enhancement generation knowledge base on the basis of an unstructured text, and realizing filtering and tracing of planning knowledge according to streets; instantiating a plan agent cluster, generating a resident demand, available resource and facility coverage list, and fusing to form a current situation baseline; mutually overlapped negotiation units are generated through a convolution moving window, and global continuous coverage is realized; constructing multi-dimensional stratified sampling based on mobile phone signaling and population census data, and generating a heterogeneous resident agent cluster; and driving multi-stage co-simulation and consensus evaluation of the planning agent and the resident agent, and outputting an optimization demand list and an action blueprint. According to the method, space continuous coverage, professional knowledge traceability and public participation process quantifiable convergence are realized, and the scientificity and the performability of community facility configuration are improved.

The invention discloses an urban community low-carbon updating multi-objective optimization processing method and system, and belongs to the technical field of big data. Comprising the following steps that data are obtained and processed, the obtained data comprise geospatial data and population data, and a multi-objective optimized agent database and a spatial database are constructed; according to the constructed agent database, creating a simulation model of multi-objective optimization; according to the simulation model and in combination with external influence parameters, designing an update process mechanism, formulating update scheme selection scenes and conditions and intelligent agent interaction, and generating an optimal update strategy; and extracting and visually updating a multi-objective optimization result of the strategy. Compared with the prior art, the method has the advantages that multi-target optimization based on multi-agent interaction and space-time visualization of the updating process are achieved, interaction inside updating subjects such as residents and the government and interaction between the subjects are simulated, and multi-target optimization such as the minimum cost, the maximum carbon reduction amount and the maximum resident satisfaction degree is completed.

The utility model relates to the technical field of clothes airing facilities, and provides a movable interesting clothes airing facility which comprises a bottom plate, and a clothes airing mechanism used for airing clothes is arranged above the bottom plate. By arranging the clothes airing mechanism and the clothes collecting mechanism, the unoccupied space of a community can be utilized, residents in the community can air clothes conveniently, the clothes airing space can be flexibly moved and expanded, crotch-shaped facilities on the side faces of the supporting columns are used as temporary clothes collecting frames, and therefore the problem that the clothes airing space of the residents in the urban community is insufficient is solved; the clothes airing facility can be integrally moved, and meanwhile, the originally monotonous space in a community is activated by an artistic technique, and a shared space with an airing function and a leisure function is created for the community, so that interaction and communication among neighbors are promoted, the humanity and vitality in the community are increased, and the community image is improved. By means of the technical scheme, the problem that in the prior art, due to the influence of the room orientation and the airing space size, community residents can air a limited number of clothes is solved.

This invention provides a reinforcement device for the renovation of old urban community buildings, comprising a vertical reinforcement plate and a horizontal reinforcement plate. The vertical reinforcement plate has a fixing plate on its exterior, and the fixing plate has hinge seats I arranged vertically at intervals. Anchor rods are anchored to the outer sides of the hinge seats I. A wire mesh is laid on the inner surface of the vertical reinforcement plate, close to the exterior wall. The anchor rods penetrate the fixing plate, the vertical reinforcement plate, and the wire mesh and are embedded and anchored within the wall. The horizontal reinforcement plate is a square plate with hinge seats II corresponding to its upper front and rear ends. A first support rod and a second support rod are connected between the two hinge seats I and hinge seats II, respectively. Expansion bolts embedded in the wall are located at the four corners of the horizontal reinforcement plate. Anchor rods are anchored in the middle of the hinge seats II. This invention, through the combination of horizontal and vertical reinforcement plates and anchors, and through modular design, dynamic anchoring, and lightweight construction, effectively improves the structural safety of old buildings, and is particularly suitable for seismic reinforcement and exterior renovation.