17 results about "City block" patented technology

The invention relates to an outdoor microclimate monitoring system and method for urban blocks, belongs to the technical field of urban intelligent monitoring and management, and solves the problem that in the prior art, low-cost accurate monitoring cannot be carried out on wide-area coverage outdoor microclimate. The method comprises the following specific steps: respectively acquiring microclimate data of a city block to be measured through a background observation point, a plurality of key observation points and a mobile observation point, and obtaining a background point temperature sequence, a key point temperature sequence and a mobile temperature sequence in a monitoring time period; respectively taking the temperature of each sampling time point in the background point temperature sequence as a reference, and correcting and calibrating the mobile temperature sequence by using the time difference; and inputting the key point temperature sequence into microclimate software, and performing dynamic heat source correction simulation on each temperature field distribution diagram in combination with the calibrated mobile temperature sequence of the corresponding time point to obtain an outdoor environment temperature simulation result in a monitoring time period, thereby realizing accurate output of meter-scale grid environment parameters of a 1KM2 block by less than or equal to 10 fixed sensors.

The invention is suitable for the technical field of high-temperature monitoring, and particularly relates to a city block high-temperature adaptability monitoring method and system based on multi-source data fusion, and the method comprises the steps: delimiting a block needing to be subjected to high-temperature adaptability monitoring, drawing a plane distribution diagram of the block, constructing a temperature data collection platform, and carrying out the high-temperature adaptability monitoring of the block from registrants; the method comprises the steps of selecting a curbside node, acquiring monitoring data uploaded by the curbside node, and determining a deployment position of temperature sensing equipment, the monitoring data of each piece of video monitoring equipment at least comprising one piece of temperature sensing equipment. By determining the target route, personalized travel experience can be provided for pedestrians, people flow pressure of hot road sections can be relieved, microclimate load of urban blocks can be improved, travel experience of users can be improved, thermal environment management efficiency of the urban blocks can be improved, health risks caused by high temperature can be reduced, and the method is suitable for popularization and application. And the comprehensive goal of safe and comfortable travel is achieved.

The invention discloses a man-machine interaction city block outdoor space efficiency diagnosis and optimization method, which is suitable for block updating and reconstruction and new development and construction projects in a high-density city environment. Aiming at the problems that the efficiency of the outdoor space in the existing urban environment is easily neglected and a special evaluation and optimization system is lacked, the method comprises the following steps: dividing the outdoor space into space units according with human behavior perception based on a convex space division method; a multi-dimensional evaluation index system including space unit depth, connectivity and accessibility and plot configuration diversity and accessibility is constructed, and a man-machine interaction measurement and calculation program is built based on a Grasshopper platform. The program can feed back dynamic changes of indexes in real time, automatically adjust according to factors such as road grades, entrance and exit positions and building layout, assist a designer in rapidly adjusting a scheme in a design stage and obtaining a real-time evaluation result, realize accurate diagnosis and optimization of outdoor space efficiency, and improve the efficiency of the outdoor space. And a scientific decision basis is provided for improving the utilization efficiency of the urban block space and promoting intensive development.

Visualize potential optimal locations for power generation equipment within a city block. [Solution] The information processing system includes a first acquisition unit that acquires the spatial distribution of solar radiation, a second acquisition unit that acquires the spatial distribution of wind speed in a time history, a calculation unit that uses the amount of power generated from solar power generation equipment and wind power generation equipment installed at predetermined locations in the city block to calculate a first power generation characteristic representing the power generation capacity of solar power generation equipment and a second power generation characteristic representing the power generation capacity of wind power generation equipment for each time period in the time history, an estimation unit that estimates the amount of solar power generation based on the spatial distribution of solar radiation and the first power generation characteristic, estimates the amount of wind power generation based on the spatial distribution of wind speed and the second power generation characteristic, estimates the total amount of power generated by solar power generation and wind power generation, and outputs the estimation result, and a presentation unit that displays the city block in map data and superimposes the estimated power generation amount, which can be switched for each time period in the time history based on the estimation result, and candidate locations for solar power generation equipment and wind power generation equipment.

The invention discloses an urban block environment livability forecasting method, which belongs to the technical field of application meteorology and comprises the following steps: acquiring meteorological element data at different typical positions to calculate urban environment livability evaluation indexes and spatial and temporal distribution of meteorological elements of the urban environment livability evaluation indexes at different typical positions in a future forecasting time period; selecting urban environment livability evaluation indexes suitable for different crowds according to seasons and weather types to which future forecast time periods belong: carrying out weighted calculation on meteorological elements according to exposure time percentages of different crowds at typical positions, judging urban environment livability, and carrying out risk grade division on different typical positions in urban blocks; and issuing early warning information to the high-risk area in the future forecasting time period. The problems that in the prior art, microscale meteorological element space-time distribution differences in the block and exposure characteristics of different crowds are ignored, so that risk assessment is not accurate, and personalized early warning cannot be achieved are solved.

The invention discloses an urban block risk assessment method and system based on spatio-temporal trajectory data. The method comprises the following steps: constructing a three-dimensional analysis unit; historical passenger flow sample data are collected and preprocessed; sorting the preprocessed historical passenger flow samples according to numerical values, and calculating passenger flow intervals between adjacent samples to form an interval sequence; calculating a clustering radius based on the interval sequence, and performing clustering grouping on the passenger flow samples according to the clustering radius; identifying a reasonable group from the clustering group, and setting a dynamic risk threshold value of the three-dimensional analysis unit based on the reasonable group; and carrying out real-time risk early warning. The system comprises a three-dimensional analysis unit construction module, a sample processing module, an interval calculation module, a clustering radius calculation module, a threshold setting module and a real-time early warning module. According to the invention, through three-dimensional unit construction and adaptive threshold calculation, accurate identification of passenger flow abnormal risks in different areas and time periods is realized, and the accuracy and adaptive capability of urban risk assessment are improved.

The application discloses a kind of urban block dense road network three-dimensional organization planning method, system, equipment and medium, the method includes: according to the three-dimensional road network model of target block, identify different elevation layer position in the effective first layer public interface that can enter, can be penetrated and is associated with public activity;With effective first layer public interface as reference, measure effective public interface density and three-dimensional public penetration rate;Effective first layer public interface in each elevation layer position is mapped with three-dimensional road traffic network, constructs interface road network coupling topological graph to identify interface continuity breakpoint in effective first layer public interface and three-dimensional penetration weak point;According to effective public interface density, three-dimensional public penetration rate, interface continuity breakpoint and three-dimensional penetration weak point carries out dense road network organization repair simulation, obtains the dense road network organization repair strategy of target block;The application can realize the systematic identification of multiple first layer public interface, to realize the effective planning of small block dense road network three-dimensional organization and repair.

The invention provides an urban block wind field refined prediction method, and the method comprises the steps: obtaining wind field actual measurement data of a target urban block, and the wind field actual measurement data comprise wind speed data and position data; preprocessing the wind speed data to obtain target wind speed data; inputting the target wind speed data and the position data into a first wind field prediction model to obtain a wind field prediction result of the city block; and inputting the wind field prediction result into the second wind field prediction model to obtain a target wind field prediction result of the city block. Therefore, high-precision and high-efficiency dynamic prediction of the complex wind field of the urban block can be realized through a double-model series prediction framework in combination with the actually measured wind speed and related position data of the wind field.

The application provides a binocular positioning method using a known light source arrangement, and belongs to the field of computer vision positioning. The application captures the positions of three visible light feature points of a target object in a camera pixel image during movement of a binocular camera, and an inclination angle and a roll angle obtained by a six-axis inertial sensor. A unscented Kalman filter is used to integrate data of the inertial sensor and data of the binocular camera, so that visible light positioning is realized, that is, the position of a visible light feature point of the target object in a three-dimensional space and a heading angle are accurately calculated. The application has wide applicability, good stability, and can be used for positioning at a farther distance. The stability is excellent not only in an indoor environment, but also in complex outdoor environments such as urban blocks, mountains and oceans.

The invention relates to the technical field of crossing of city planning, color evaluation and computer vision, in particular to a city block building color harmony evaluation method and device, and the method comprises the steps: collecting and preprocessing data, obtaining block building color data, spatial position data and planning constraint data, converting the data into a unified color space, and removing noise; feature extraction: calculating single building color features, adjacent building color correlation features and block overall color distribution features; constructing a multi-dimensional evaluation index system including color suitability, adjacent coordination degree, overall balance degree and planning integrating degree; determining an index weight based on an analytic hierarchy process-entropy weight method; according to the method, objective and quantitative evaluation of the color harmony degree of the building is realized, the evaluation efficiency and accuracy are improved, a scientific basis is provided for urban block color planning and reconstruction, and the technical problems that traditional evaluation depends on subjective judgment and lacks a unified standard are solved.

The invention relates to a calculation method for fire spreading in an urban area, and aims to solve the technical problem that the accuracy of a calculation result is low or the calculation efficiency has a bottleneck in the prior art. The invention provides an urban area fire spreading calculation method, which comprises the steps of dividing block units based on the size and function type of an urban block, setting fire characteristic parameters, determining an initial ignition state of a city according to an accident type, and calculating fire spreading of the urban area. According to combustion airflow fields and environment wind fields caused by fire disasters of different block units, the coupling airflow speed in the area is calculated, the fire situation of the non-fire building in each block is calculated by considering heat radiation and a fire spreading mechanism, and the combustion state of the fire building in each block unit is updated based on the type of the building in each block.

This invention discloses a method for predicting and evaluating urban street light and heat human factors based on multimodal behavioral coupling, belonging to the field of urban microclimate environment and human comfort assessment technology. The method includes the following specific steps: S1 Multimodal data acquisition; S2 Data preprocessing and multimodal input fusion; S3 Light-heat-human factor coupling modeling; S4 Response prediction and deep learning modeling; S5 Exposure integral index calculation; S6 Interpretable output of results; S7 Digital twin feedback and optimization. This invention is the first to deeply couple light environment factors with thermal environment factors and human behavioral responses, overcoming the limitations of traditional thermal comfort assessments that only focus on a single thermal index. By automatically extracting complex relationships through a deep learning model, it improves the accuracy and robustness of comfort prediction. Compared with methods that simply use indices such as PMV / UTCI, this invention provides more accurate predictions of subjective thermal sensation in outdoor dynamic environments, and its prediction of behavioral responses fills a gap in existing technology.

This invention discloses a collaborative improvement method for horizontal wind speed algorithms in urban street network models. The method includes using high-resolution CFD wind field simulations as near-true values, comparing and verifying wind speeds at different locations in the urban street network model with the near-true wind fields, introducing local roughness and displacement height parameters incorporating building characteristics, and systematically evaluating the impact of combinations of local roughness and displacement height, along with CFD-derived local friction velocity, on wind speed simulation at different scales. Based on the evaluation results, the optimal parameter combination is selected to replace the regional average roughness and displacement height parameters, optimizing the wind speed simulation capability of the urban street network model under non-uniform urban underlying surface conditions. The advantages are: by combining the CFD-derived local friction velocity with local roughness and displacement height parameters, the non-uniformity of the underlying surface height in the city center can be more accurately characterized, thereby precisely simulating the drag effect of urban buildings and helping to obtain horizontal wind speeds closer to reality.

The invention provides a city block level carbon emission power density adaptive interpolation method and electronic equipment, and relates to the technical field of data processing. According to the implementation scheme, the position of a first interpolation sampling point in a sampling network of a first urban plot is determined based on the difference between gradient vectors of the building development amount of each sampling point of the first urban plot, and the building development amount of the sampling point is the ratio of the building area to the base area of the sampling point; determining the carbon emission power density of the first interpolation sampling point based on the carbon emission power density of the plurality of first adjacent sampling points of the first interpolation sampling point and the change slope of the carbon emission power density of the plurality of first adjacent sampling points; and interpolating the sampling network of the first urban plot based on the position of the first interpolation sampling point and the carbon emission power density. By adopting the scheme of the invention, the interpolation accuracy of the carbon emission data can be improved, and the sampling cost of the carbon emission data can be reduced.

This disclosure provides an adaptive interpolation method and electronic device for carbon emission power density at the city block level, relating to the field of data processing technology. The implementation scheme is as follows: Based on the differences in the gradient vectors of building development volume at various sampling points of a first urban plot, the location of a first interpolation sampling point in the sampling network of the first urban plot is determined, where the building development volume of the sampling point is the ratio of the building area to the base area of ​​the sampling point; based on the carbon emission power density of multiple first neighboring sampling points and the slope of the change in carbon emission power density of the multiple first neighboring sampling points, the carbon emission power density of the first interpolation sampling point is determined; based on the location and carbon emission power density of the first interpolation sampling point, interpolation is performed on the sampling network of the first urban plot. Using the scheme of this disclosure, the accuracy of carbon emission data interpolation can be improved, and the sampling cost of carbon emission data can be reduced.

The utility model provides a water area rescue simulation training facility. The water area rescue simulation training facility comprises an enclosing wall, a city block and a water pump house, wherein a first wall, a second wall, a third wall and a fourth wall are arranged in the city block; one end of the third wall is bent to be connected with the water pump house, a torrent water channel is formed between the third wall and the enclosing wall, and a water pump house forebay is defined by the first wall, the third wall, the enclosing wall and the water pump house; the other end of the third wall is bent to be arranged between the second wall and the enclosing wall, and a swimming pool is formed among the second wall, the third wall and the fourth wall; a reservoir is formed among the second wall, the fourth wall and the enclosing wall; the first wall is provided with a water return gate, and the second wall is provided with a water supply gate. According to the utility model, a closed water circulation system of a self-contained system is formed, so that the occupied area of training facilities is reduced to the maximum extent, and diversified simulation training scenes are provided for the training facilities in urban blocks.

The invention belongs to but is not limited to the technical field of photovoltaic building integration, and discloses a city-level building solar radiation potential prediction method and system based on machine learning, and the method comprises the steps: carrying out the grid division of a building surface, constructing a sun position matrix, and building a refined building plane-level physical simulation model through combining with a ray tracing method; based on the urban block-level building data set, rapid simulation of urban building solar radiation is realized; constructing a block building multi-dimensional feature set by using meteorological, building geometry and surrounding environment features, and training to obtain a machine learning prediction model; the performance of the model is evaluated by adopting SMAPE and R2 indexes, and interpretability analysis is carried out, so that high-precision and high-efficiency urban building surface solar radiation potential prediction is realized. According to the method, the influence degree of different features on the solar radiation potential of the building planes with different orientations is revealed by training the machine learning model, and support is provided for rapid evaluation and large-scale application of the urban building integrated photovoltaic potential.