32 results about "Human settlement" patented technology

The invention discloses a human settlement environment quality evaluation method based on urban public service and ecological system service, and relates to the field of ecological environment evaluation, and the method comprises the steps: determining an evaluation region, and obtaining the natural, economic and remote sensing data of a year to be evaluated in the evaluation region; performing quantitative evaluation on the ecosystem service of the evaluation area from rainfall flood adjustment, heat island effect relief, air purification and park recreation in the ecosystem service; performing quantitative evaluation on the urban public service of the evaluation area from medical security, basic education and public culture in the urban public service; and carrying out weight superposition calculation on the score of each evaluation factor in the ecological system service and the urban public service to obtain a human settlement environment quality comprehensive score of the evaluation area. According to the method, human settlement environment quality evaluation can be carried out scientifically and comprehensively with resident demands as the core, and a direction is pointed out for city space optimization.

To provide more suitable artificial intelligence response output technique which contributes to the Sustainable Development Goals (SDGs): "9 Build resilient industries, promote innovation, and strengthen industrial capacity" and "11 Make cities and human settlements inclusive, safe, resilient, and sustainable".SOLUTION: A response output device comprises an input part and a control part that generates a response request on the basis of user input from the input part, transmits the response request to a large-scale language model, and outputs a response from the large-scale language model in response to the response request. The control part performs a search process based on search conditions specified by a user, extracts candidate content files to be registered in the response request, and registers the content file selected by the user from the extracted candidates in the response request.SELECTED DRAWING: Figure 8

This invention discloses a method and system for monitoring human settlements using unmanned aerial vehicles (UAVs), relating to the field of human settlements monitoring. The method includes setting up a monitoring module mounted on a UAV, establishing a real-time communication link between the module and the flight control system, enabling the UAV to fly over human settlements, and during flight, the monitoring module collects parameters of the human settlements. Based on the flight control data, the collected parameters of the monitoring module are dynamically corrected to generate a calibrated data set. The calibrated data is then input into a scenario-based analytical model. This invention utilizes a real-time correction mechanism with deep coupling between flight control and sensing to dynamically correlate UAV attitude parameters with monitoring data, thereby reducing the data error rate and eliminating the need for post-correction. This is particularly beneficial in complex terrains such as mountainous blind areas and urban streets, improving the accuracy of pollutant concentration monitoring and helping to solve the problem of data distortion caused by dynamic interference.

The invention relates to the technical field of ecological ditches, in particular to a sewage treatment ecological ditch for rural living environment renovation, which comprises a body and a blocking structure arranged in the body, and the blocking structure comprises a grid plate arranged in the body and storage boxes fixedly mounted on two sides of the grid plate; the grid plate is used for intercepting garbage in water, and the storage box is used for storing the garbage; the sewage treatment ecological ditch for rural human settlement environment improvement further comprises transverse moving plates, the two transverse moving plates are symmetrically and movably arranged at the tops of the two storage boxes, the two transverse moving plates are each connected with a transverse moving driving mechanism, the two transverse moving driving mechanisms are both connected with a power mechanism arranged between the two storage boxes, and finally the two transverse moving driving mechanisms are connected with the power mechanism arranged between the two storage boxes. On one hand, the grid plate is prevented from being blocked by accumulated garbage, and on the other hand, the storage box is used for collecting the garbage, so that regular cleaning work of workers is facilitated.

The invention discloses a sampling and collecting device of a human settlement environment fresh air introduction system, which comprises a system air pipe and a fixing frame arranged on one side of the outer wall of the air pipe, a sampling assembly is cooperatively arranged on the inner wall of the system air pipe close to the front end of the system air pipe, and one end of the sampling assembly is detachably connected with a filtering assembly. The rear end of the filtering assembly is detachably connected with a condensation dehumidification assembly, the rear end of the condensation dehumidification assembly is detachably connected with a three-way flow dividing pipe, the vertical end of the three-way flow dividing pipe is a particulate matter collecting branch, the other horizontal end of the three-way flow dividing pipe is a VOCs collecting branch, and the rear end of the VOCs collecting branch is detachably connected with an activated carbon adsorption pipe. A control assembly is arranged between the two ends of the three-way flow dividing pipe and one side of the rear end of the outer wall of the system air pipe in a matched mode, a control cabinet is arranged on one side of the upper end of the fixing frame, and a control panel, a wireless communication module and a voltage stabilizing module are installed in the control cabinet. When the fresh air environment is sampled, multi-point sampling can be achieved, interference of dust and water vapor can be reduced, and the sampling efficiency is improved.

The invention discloses a living environment human factor engineering optimization method and system based on AHP-fuzzy comprehensive evaluation. The method comprises the steps that physical parameters (including illumination intensity distribution, air particulate matter concentration gradient, sound pressure level spectrum data and space geometric topology information) of a living environment are collected in real time through a multi-source sensor network; constructing a hierarchical structure of the evaluation model by using an analytic hierarchy process and calculating a weight vector; and constructing a membership function and a fuzzy relation matrix by combining a fuzzy comprehensive evaluation method, and generating an optimization scheme of cabin layout and facility configuration through a multi-dimensional constraint optimization model. By integrating AHP and fuzzy comprehensive evaluation and introducing a real-time data dynamic adjustment mechanism, the accuracy and practicability of living environment evaluation and optimization are remarkably improved. The method can be widely applied to the fields of smart home, cabin design, human settlement environment engineering and the like.

The utility model discloses a human settlement environment slope collapse early warning supporting device which comprises a plurality of supporting columns and a plurality of collapse protection plates installed on one sides of the supporting columns, and supporting mechanisms are installed on the other sides of the supporting columns and used for supporting and reinforcing slope protection positions. According to the utility model, through the cooperative work of the inclination sensor, the displacement sensor and the stress sensor, the slope deformation displacement, inclination and stress change conditions can be accurately monitored in real time. Abnormal data can be captured in time at the early stage of collapse risk of the side slope, and an early warning signal is sent out quickly when abnormal deformation occurs. Therefore, precious emergency treatment time is won for residents and related personnel around the human settlement environment, preparation work such as personnel evacuation and property transfer is made in advance, casualties and property losses possibly caused by slope collapse in the human settlement environment are effectively reduced, and the safety of the human settlement environment is guaranteed to the maximum extent.

A more favorable air floating video display apparatus is provided. According to the present invention, it is possible to contribute to “Goal 3: Ensure healthy lives and promote well-being for all at all ages”, “Goal 9: Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation”, and “Goal 11: Make cities and human settlements inclusive, safe, resilient and sustainable” in the Sustainable Development Goals (SDGs). The air floating video display apparatus includes a video display apparatus, a polarization separator, a retroreflection module having a λ / 4 plate and a retroreflector, and a housing configured to hold them. In a relationship between a first angle that the video display apparatus forms with respect to the polarization separator and a second angle that the retroreflection module forms with respect to the polarization separator, the second angle is different from the from angle.

The invention provides an underground space human settlement environment carbon dioxide adsorption and utilization system and method.The underground space human settlement environment carbon dioxide adsorption and utilization system comprises a fan subsystem, an adsorption / desorption subsystem and a cyclic utilization subsystem; the fan subsystem comprises an air inlet unit for feeding air in the underground space into the adsorption / desorption subsystem; the adsorption / desorption subsystem comprises two groups of adsorption components connected with the fan subsystem, and the two groups of adsorption components alternately operate, so that when one group of adsorption components executes an adsorption process to remove water vapor and carbon dioxide in air, the other group of adsorption components synchronously executes a desorption process to regenerate an adsorbent; according to the system, the air inlet unit in the fan subsystem feeds air in the underground space into the adsorption / desorption subsystem, and the adsorption assembly in the adsorption / desorption subsystem is used for removing water vapor and carbon dioxide in the air, so that the purpose of reducing the carbon dioxide concentration and the air humidity of the human settlement environment in the underground space is achieved.

The invention discloses a rural public space collaboration evaluation method and system based on continuous track electroencephalogram, and relates to the technical field of human settlement environment space quality measurement, and the method comprises the steps: receiving related data of a rural public space, carrying out the preprocessing of the related data of the rural public space, and obtaining the processed related data of the rural public space, the related data of the rural public space comprises walking sightseeing real-time electroencephalogram data, continuous GPS track data and environment basic geographic space data; based on the processed rural public space related data, extracting a walking brain perception cooperation index, inputting the walking brain perception cooperation index into a pre-established Gaussian process regression model based on a perception cooperation attenuation kernel function, and outputting to obtain a distribution result of the rural public space cooperation degree; and obtaining hierarchical vector transfer data and weight data of the environmental elements, projecting the hierarchical vector transfer data and the weight data of the environmental elements to the rural public space grid units, and performing superposition in combination with the distribution result of the rural public space collaboration degree to obtain a rural public space environmental element weighted collaboration degree distribution result. And clustering to obtain a village advantage collaboration space and a disadvantaged collaboration space.

The invention discloses a human settlement suitability evaluation method based on remote sensing data and an urban heat island effect, and relates to the field of human settlement suitability monitoring, and the method comprises the steps: extracting the urban heat island intensity and the grade thereof in a spatial region range based on meteorological satellite remote sensing data; satellite surface temperature data and relative humidity meteorological reanalysis data are fused, numerical values of surface temperature and relative humidity in a spatial region range are extracted, a temperature and humidity index and a grade thereof are calculated, and a wind efficiency index and a grade thereof are also calculated; and after the obtained urban heat island intensity, the temperature and humidity index and the wind efficiency index are subjected to standardization processing according to the grades, the human settlement environment condition evaluation index is calculated according to the weight of each index. The method focuses on providing an evaluation system based on meteorological satellite product data and the urban heat island effect, and is used for evaluating the influence of climatic elements on the human settlement suitability of the whole country and the city under the climatic change background.

The invention discloses a micro-grid planning method and system based on an improved normal boundary crossing method. The method comprises the following steps: constructing an objective function of a micro-grid planning model considering ecological, climate and human settlement influences; constructing constraint conditions of the micro-grid planning model considering environmental benefit constraints; constructing a compact form of a micro-grid planning model; solving to obtain a Pareto leading edge based on an improved normal boundary crossing method of Euclidean distance correction for a compact micro-grid planning model; and selecting an optimal compromise solution from the Pareto leading edge to obtain a micro-grid expansion planning scheme. According to the method, ecological, climate and human settlement influences are integrated, the modeling environmental benefits are quantified, and the environmental adaptability of micro-grid planning is improved; according to model nonlinearity caused by environmental benefit modeling, an improved normal boundary crossing method based on Euclidean distance correction is designed for solving, the solution set uniformity of the Pareto front is improved, aggregation or vacant areas of the solution set are avoided, and a candidate scheme set with higher coverage is provided for decision makers.

The utility model belongs to the technical field of collection devices, and particularly relates to a sampling and collecting device of a human settlement environment fresh air introduction system, which comprises an air inlet pipe, the air inlet pipe is in threaded connection with a sampling barrel, a filter component is arranged at the joint of the air inlet pipe and the sampling barrel, and a recovery component is detachably connected to the outer wall of the filter component. When the collecting device is used for sampling and detecting a fresh air introduction system, the two ends of the shell can be fixed to the air inlet pipe and the sampling barrel in a threaded mode respectively, then the upper clamp and the lower clamp are arranged on the surface of the shell in a sleeving mode and fixed to the screw holes in a threaded mode through bolts, and at the moment, the arc-shaped opening corresponds to the sewage draining opening in position; the filter screen is arranged on the filter screen, impurity particles in the air are filtered, impurities adhering to the filter screen can fall into the sewage draining exit and then fall into the recycling bag from the arc-shaped opening to be collected, after-treatment is facilitated, and the effect that the air can be automatically filtered in the process of sampling the fresh air introduction system is effectively achieved.

The invention discloses a residential quarter livability evaluation method considering different crowd preferences, and particularly relates to the technical field of human settlement environment evaluation, which comprises the steps of obtaining vector and attribute data of residential quarters in a city, constructing an evaluation basic data set, and constructing an evaluation system containing five-dimensional and three-level indexes such as living safety. And performing quantitative statistics and geographic space indexes, grouping questionnaires according to ages to obtain index weights, and performing weighted summation to obtain a residential quarter livability evaluation result considering crowd preferences. The method focuses on smaller spatial scale to carry out evaluation, gives consideration to objective environmental factors and subjective preferences of different crowds, adopts an adaptive quantification mode for different types of data, accurately measures the influence of various geographic space factors, fully distinguishes the demand differences of different age groups, enables the evaluation result to better fit an actual living scene, and improves the evaluation efficiency. The accuracy and rationality of human settlement environment evaluation are improved, a reliable basis is provided for urban planning and human settlement environment improvement, and ordered promotion of differentiated community construction is supported.

This invention relates to the field of urban planning technology and discloses a method and system for urban low-altitude human settlement planning that integrates spatiotemporal data. The method includes the following steps: identifying development entities by acquiring multi-source spatiotemporal data, constructing a low-altitude ventilation efficiency coupling mapping model, defining a benefit objective function and calculating the retention utility benchmark, performing Pareto front search and Nash equilibrium constraint test using a two-layer optimization framework, screening feasible solutions and allocating environmental premium benefits based on the floor area ratio concession contribution, and outputting a low-altitude human settlement planning scheme with multi-entity collaboration. This solves the technical problem of failure of multi-developer collaboration in cross-plot ventilation corridor planning.

The invention provides a natural resource element dynamic monitoring method and system, and solves the problem that the spatial-temporal dynamic change of a large-area impervious surface is difficult to conveniently and systematically describe in the prior art. The method comprises the following steps: preparing a multi-time-sequence impervious surface data set; dynamically monitoring the time sequence change of the impervious surface; analyzing the driving force of the sequential change of the impervious surface; dynamically monitoring the spatial form change of the impervious surface; and dynamically monitoring the spatial directivity change of the impervious surface. According to the method, dynamic changes of the space-time pattern of the impervious surface are systematically described, urban space planning can be scientifically compiled, and reference is provided for optimizing the urban human settlement environment.

The application provides a kind of big model cooperation-based adolescent depression intelligent diagnosis and treatment method and system, the method comprises: constructing remote sensing human settlement microenvironment and growth soft environment dataset, pre-processing and feature extraction are carried out on the dataset, space-time matching and representation are carried out on environment and subject individual brain-behavior clinical data, individualized intervention cohort data and feature representation matched with environment are collected;Based on the multidimensional data obtained, a knowledge graph based on large model is established;Based on the established knowledge graph, environment-brain-behavior enhanced intelligent diagnosis and intervention are carried out.The application is based on the knowledge organization system of auxiliary diagnosis, pathogenesis evaluation and individualized intervention of environment-brain-behavior, constructs environment-brain-behavior multidimensional knowledge graph for adolescent depression diagnosis, based on the big model cooperative reasoning mechanism enhanced by environment-brain-behavior multidimensional knowledge, provides intelligent and precise method system for adolescent depression diagnosis and treatment, greatly improves the level of diagnosis and treatment.

This invention discloses a method, system, equipment, and medium for spatiotemporal assessment of the ecological quality of a watershed human settlement system, relating to the field of ecological quality assessment technology. The method includes: acquiring target area data, with the Yellow River source region as a typical watershed human settlement system; calculating the Ecological Quality Index (EQI) based on the target area data; using 2m resolution patches based on real ecological boundaries to replace the idealized large-scale raster as the target area assessment unit, and integrating the EQI and collected potential influencing factor data into the target area assessment unit to generate ecological patch units; determining the spatiotemporal assessment results of the ecological quality based on the ecological patch units using Moran's I index and an ecological quality change matrix; the spatiotemporal assessment results of the ecological quality are used to describe the spatial autocorrelation and spatiotemporal changes of ecological quality. This invention can improve the accuracy of spatiotemporal assessment of the ecological quality of watershed human settlement systems.

The invention relates to the technical field of data processing, in particular to an intelligent management system for rural human settlement environment quality evaluation, and the system comprises a data collection module which comprises a data collection unit for collecting environmental parameters in a rural area; the data processing module comprises a preprocessing unit used for preprocessing the environmental parameters to output environmental characteristics; the quality evaluation module is used for carrying out quality evaluation on newly collected environmental parameters according to the machine learning model so as to output an evaluation result; the aggregation adjustment module is used for determining the spatial data aggregation radius according to the average transmission delay duration of the environmental data in a plurality of transmission processes; the factor adjustment module is used for determining a seasonal weight correction factor according to the invalid feature proportion; and the attenuation adjustment module is used for determining the attenuation coefficient of the abnormal duration according to the fluctuation amplitude of the environment humidity in the unit time. According to the invention, the management stability of quality evaluation is improved.

The application discloses a micro-grid planning method and system based on an improved normal boundary intersection method, and the method comprises the following steps: constructing a target function of a micro-grid planning model considering ecological, climate and human settlement influences; constructing constraint conditions of the micro-grid planning model considering environmental benefit constraints; constructing a compact form of the micro-grid planning model; based on the improved normal boundary intersection method of Euclidean distance correction, the compact form of the micro-grid planning model is solved to obtain a Pareto frontier; and an optimal compromise solution is selected from the Pareto frontier to obtain a micro-grid expansion planning scheme. The application comprehensively considers ecological, climate and human settlement influences, quantitatively models environmental benefits, and improves the environmental adaptability of the micro-grid planning. In view of the nonlinearity of the model caused by the modeling of the environmental benefits, the improved normal boundary intersection method based on the Euclidean distance correction is designed to solve the problem, the uniformity of the solution set of the Pareto frontier is improved, the solution set is prevented from being gathered or having a vacancy area, and a candidate scheme set with higher coverage is provided for decision makers.

The application discloses a cultural constraint rule coding and conflict graph solving method, system and device for intelligent protection of human settlement heritage community and a storage medium, and relates to the technical field of digital heritage protection and rule reasoning. The method comprises the following steps: obtaining multi-source heterogeneous data, performing standardization pretreatment, constructing an environmental state vector to uniformly represent the community protection state, extracting entities and relationships from a regulation text through natural language processing to construct a cultural knowledge graph, converting constraint clauses into machine executable condition-action constraint expressions coded in an abstract syntax tree to form a rule base, constructing a rule driven decision model for multiple subjects, performing legality clipping on candidate actions to generate a legal action space, generating a joint action combination and constructing a conflict graph, finally forming a target protection scheme in the form of a space unit level control instruction set, and performing incremental updating according to execution feedback to form a closed loop decision. The application realizes automatic coding and execution of cultural constraints and computable collaborative solving of multiple subjects.

The invention discloses a grassland human settlement environment-oriented multi-dimensional comprehensive index adaptive evaluation method, and relates to the technical field of ecological environment monitoring, and the method comprises the following steps: S1, grassland human settlement environment multi-dimensional representation logic construction; s2, performing evaluation index adaptive mapping by using a multi-dimensional function description space; s3, performing cross-dimension association consistency verification by using the functional domain index set; s4, performing multi-dimensional function intensity expression by using the computable index subset; s5, performing multi-dimensional collaborative expression by using fractal dimension comprehensive indexes; according to the method, the index set is set, and the multi-dimensional function description space and the candidate index complete set are correspondingly mapped, so that functions divided according to function domains are formed, it is ensured that the function attribution of each index is clear, the set structure is unified, and function intersection and semantic ambiguity can be eliminated in the index construction stage; and the subsequent calculation of the multi-dimensional comprehensive index is established on the basis of stable and consistent functional domain indexes.

The invention relates to the technical field of environment assessment and big data analysis, in particular to a loess plateau human settlement environment assessment algorithm based on big data, and the method comprises the steps: calculating four core indexes: soil erosion intensity, facility accessibility, terrain safety and social economic activeness; performing landform automatic partitioning based on topographic features; and then partitioning is carried out, dynamic weights are calculated by adopting a Credit-entropy weight combination method, and finally the human settlement environment quality index is synthesized. The system provides a corresponding hardware implementation architecture. According to the method, the loess landform differentiation rule is converted into the dynamic weighting model, spatial self-adaption of an evaluation standard is realized, dominant restriction factors of human settlement environments in different regions can be accurately identified, and a scientific tool is provided for differential spatial planning.

The invention discloses an internet-of-things human settlement ecological command management system, particularly relates to the field of internet-of-things data modeling and analysis, and is used for solving the problem that an industrial park human settlement community lacks intelligent regulation and control management on air dust. According to the system, air dust data and meteorological sensing data of an industrial area are acquired through an acquisition module, and an air dust dynamic data flow is generated; the dust distribution prediction module is used for carrying out time sequence modeling on the dynamic data flow to form dust aggregation distribution prediction; the crowd distribution prediction module is used for constructing a crowd distribution prediction model based on the historical movement track and time distribution of the residents; the risk assessment module is used for spatially superposing an air dust prediction result and a crowd distribution prediction result and assessing an exposure risk; the internet-of-things management module obtains installation coordinates and action ranges of edge regulation and control equipment, maps the installation coordinates and action ranges to a community plane and accesses a unified command and dispatch center; and the regulation and control issuing module is used for issuing a regulation and control instruction by the dispatching center to realize spraying, purification or isolation intervention.

This paper proposes an intelligent prediction method for the dynamic evolution of human settlement heritage systems. The method includes the following steps: establishing a model for the evolution of heritage material spatial morphology, a dynamic interaction model of multiple community agents, and a model for the dissemination and diffusion of cultural factors; then coupling these models to form a multimodal coupling model; and finally, predicting future scenarios based on the multimodal coupling model. This method enables time-series modeling and trend prediction of core elements of human settlement systems, such as spatial structure, demographic structure, and cultural activities.

The invention discloses an urban heat island risk evaluation method, which is based on a WRF-Chem three-dimensional numerical model, can perform high-precision simulation on physical and chemical processes of real atmosphere in a meteorological field and a chemical field, and after the influence of fine particulate matters on the surface temperature is stripped, when the method is applied to the consistency evaluation of the intensity of different urban heat islands, the risk of the urban heat islands is evaluated. The influence of air pollution on the intensity of the urban heat island is eliminated, the real understanding of the urban heat environment is improved, the unscientific expansion of the urban underlying surface caused by the fact that a heavily polluted city mistakenly knows the intensity of the urban heat island is avoided, and the scientific and technical support in the aspects of policies and decisions is provided for improving the evaluation of the urban living comfort.

The invention discloses a data acquisition flight device for outdoor human settlement environment design, and relates to the technical field of unmanned aerial vehicle survey, the data acquisition flight device comprises an unmanned aerial vehicle shell, four corners of the upper end of the outer side of the unmanned aerial vehicle shell are respectively and fixedly provided with a vehicle arm, each vehicle arm is connected with a propeller, and the upper part of the unmanned aerial vehicle shell is detachably provided with a vehicle cover. An integrated console is fixedly installed in the unmanned aerial vehicle shell, a maintenance part, a cleaning part and an angle adjusting part are arranged on the two sides of the integrated console correspondingly, a modular disassembly part is arranged at the bottom of the unmanned aerial vehicle shell, and after a corresponding sensor is replaced through environment matching, the sensor is electrically connected with a power connection terminal through an expansion rod. And the electrical connection terminal is electrically connected to the integrated circuit rod and is finally controlled by the integrated console, so that corresponding data exploration can be carried out, real-time data acquisition can be carried out, and the device is convenient and practical.

The invention relates to the technical field of management and control platforms, and discloses a 5G + rural human settlement environment long-acting management and control platform, which comprises a multi-source sensing layer, a 5G transmission network, an edge computing layer, an intelligent analysis center and a terminal interaction layer. The multi-source sensing layer is composed of 5G Internet of Things terminal groups deployed in rural areas and comprises various monitoring devices; the 5G transmission network adopts an ultra-dense heterogeneous architecture and is provided with a network slice management module and a QoS guarantee mechanism; the edge calculation layer deploys an edge node with an AI acceleration chip, and is internally provided with a preprocessing engine and a lightweight deep learning model; the intelligent analysis center is composed of a distributed computing cluster and is provided with an environment situation awareness subsystem, a decision optimization engine and a long-acting management and control database; and the terminal interaction layer develops a cross-platform application system, integrates various modules and is configured with a block chain evidence storage component. According to the platform, real-time, global and high-precision collection and reliable transmission of rural environment data can be realized, and a full-chain efficient management and control mechanism is formed.

The invention discloses a human settlement environment climate comfort evaluation method based on multi-source data, and relates to the technical field of environment climate, and the method comprises the steps: collecting and preprocessing heterogeneous data, and generating a standardized multi-source data cube; based on the standardized multi-source data cube, obtaining an urban micro-scale climate comfort level field through micro-climate simulation fusing urban three-dimensional building forms and underlying surface attributes; performing dynamic space-time overlay analysis on the urban micro-scale climate comfort level field and the anonymized group movement positioning data, and identifying and quantifying continuously exposed hotspots and high-exposure movement corridors of the group; and based on group continuous exposure hotspots and high exposure mobile corridors, correlation analysis is performed on multi-source behavior feedback data, a behavior feedback-exposure intensity coupling model is constructed, and the urgency level of planning intervention is evaluated. According to the method, a behavior feedback-exposure intensity coupling model capable of reflecting the real feeling of a human body is constructed, so that physical exposure is associated with psychological perception, and the urgency of planning intervention is evaluated.

The present application provides a kind of prairie human settlement environment ecological space identification method and system, it is related to computer vision and ecological space analysis technical field, obtains the continuous video stream of prairie containing different function partition and time span, dynamic scene analysis is carried out to the video stream unit therein, the interactive action and state change of scene element are identified, and video stream scene interaction sequence is generated;Based on the interaction information in the video stream scene interaction sequence, associate ecological core element and derivative element, and construct ecological element dynamic correlation model;Video stream scene interaction sequence is input into the ecological element dynamic correlation model operation, and the trajectory of the change of ecological space form is output, generates preliminary identification result, and the model parameters are updated from this, obtain calibrated model and again operation generates final identification result.The present application solves the problem that traditional static method cannot capture the dynamic interaction of ecological process, realizes the dynamic, accurate and adaptive identification of prairie ecological space.