16 results about "Urban centre" patented technology

The present invention relates to the technical field of transportation demand management and parking pricing, and specifically to a parking reservation method in the urban central business district based on dynamic pricing, comprising the following steps, S1, traffic data acquisition, S2, key value calibration, S3, perceived utility calculation, S4, parking probability measurement, and S5, pricing strategy realization. The method of reserving parking spaces in the CBD of this city is aimed at addressing the serious imbalance between the supply and demand of parking resources. To alleviate the problem of parking difficulties in urban CBD areas and appropriately increase the revenue of parking lots by dynamically adjusting parking costs. At the same time, this method greatly reduces the cruising time of vehicles when searching for parking spaces, effectively reduces fuel waste and exhaust emissions during cruising, and largely avoids traffic congestion caused by the convergence of cruising vehicles and through traffic.

The invention discloses a collaborative improvement method for a horizontal wind speed algorithm in an urban block network model, and the method comprises the steps: enabling a high-resolution CFD wind field simulation to serve as a quasi-truth value, carrying out the comparison verification of wind speeds at different positions of the urban block network model and a quasi-truth value wind field, introducing local roughness and displacement height parameters which are combined with building features, and carrying out the calculation of a horizontal wind speed algorithm. The system evaluates the influence of the combination of the local roughness and the displacement height under different scales and the local friction speed inverted by the CFD on the wind speed simulation, selects the optimal parameter combination to replace the regional average roughness and the displacement height parameter according to the evaluation result, and optimizes the wind speed simulation capability of the urban block network model under the urban non-uniform underlying surface condition. The method has the advantages that the characteristic that the height of the underlying surface of the center of the city is not uniform can be more accurately represented by combining the local friction resistance speed, the local roughness and the displacement height parameters which are inversed by CFD simulation, so that the dragging effect of the city building is accurately simulated, and the horizontal wind speed closer to the reality can be obtained.

This invention discloses a method for evaluating and optimizing commercial outlets in urban central areas based on knowledge graphs, comprising the following steps: collecting and processing data on urban central areas nationwide to construct a knowledge graph of case urban central areas; based on the knowledge graph, using a random forest algorithm to construct a correlation model between population intensity and commercial outlet composition, and using a genetic algorithm to derive the optimal commercial outlet composition pattern; based on the commercial outlet composition data of the target urban central area, determining whether its commercial outlet composition needs adjustment according to the optimal commercial outlet composition pattern; if adjustment is needed, automatically solving and outputting the optimization adjustment results for various types of commercial outlets through the optimization model; outputting the optimization adjustment results and displaying them interactively on a digital space sandbox of the target urban central area, and outputting an adjustment report. This invention achieves precise adjustment of commercial outlets in central areas based on knowledge graphs, making the commercial composition of different central areas more reasonable.

The application provides an urban commercial district interaction method, system, device and storage medium in an empty search scene, which comprises the following steps: obtaining remote commercial districts and non-remote commercial districts based on at least the distance between each preset commercial district and the urban center to which the commercial district belongs and the heat ranking of the commercial district in the city; obtaining four edges of a rectangular map area according to the farthest non-remote commercial district in four directions and anchoring the remote commercial districts at the edges of the rectangular map area; establishing an icon for each preset commercial district based on the rectangular map area and merging and displaying the overlapping icons; and adding the user's consumption selection rate to the icons corresponding to the preset commercial districts with the top n heat rankings in the urban commercial districts. The application can satisfy complete display of commercial districts without stacking and shielding, show the user the recommended reasons for the commercial districts, enable the user to see all the recommended popular commercial districts at a glance, reduce the effort of the user to find suitable accommodation commercial districts in an unfamiliar city, and improve the user experience.

The invention discloses a method, a system and equipment for identifying low-efficiency commercial land in an urban center, and a medium. The method comprises the following steps: acquiring related data in a target area; constructing a low-efficiency commercial land identification index system; calculating secondary index data of the identification index system, and performing normalization processing on the secondary index data to divide a training set; constructing a BP neural network model, taking the training set as a machine learning sample, training the BP neural network model, and performing parameter tuning by using cross validation to obtain a low-efficiency commercial land feature model; calling a low-efficiency commercial land feature model, calculating feature importance of related indexes, and taking an average value of the feature importance as an index weight; and according to the related index data set, calculating the corresponding score of the commercial land in combination with the index weight, and performing reclassification to obtain the urban central urban area low-efficiency commercial land. The method can achieve the scientific and accurate recognition of the low-efficiency commercial land, and provides a certain reference for the redevelopment of the commercial land in the urban center.

The utility model discloses an electric three-wheeled cleaning vehicle, which takes an electric tricycle as a carrier, is matched with a mechanical part, operates and controls the mechanical part through an electric appliance circuit consisting of a left turning handle and a power supply reversing switch, sucks garbage on the ground and stores and transfers the garbage; the mechanical part comprises a suction cup rotating arm assembly, a rotating transmission mechanism, a lifting mechanism, a garbage channel pipe assembly, a dust storage box assembly and a negative pressure system assembly. A right turning handle of the vehicle controls running of the vehicle, a left turning handle of the vehicle controls a rotation transmission mechanism and a suction cup rotation arm assembly to rotate in a scanning mode, a centrifugal fan is started to enable a dust storage box assembly, a garbage channel pipe and a suction cup rotation arm to form negative pressure, and a negative pressure suction cup sucks away ground garbage near the ground and stores the garbage into a dust storage box. And dust-containing air is discharged after being filtered by the coarse filter screen, the cylindrical filter element and the fine filter at the air outlet of the centrifugal fan. The storage battery serves as energy, turning is flexible, operation is convenient and fast, functions are complete, and the vehicle is applied to ground cleaning of urban centers, tourist attractions and residential districts.

The present invention discloses an urban traffic velocity estimation method based on multi-source crowd sensing data. This method, based on roadside pedestrian data and road navigation data collected by smart phones, obtains a final estimated velocity through the steps of missing data filling, self-view velocity aggregation and multi-view velocity fusion. This fine-grained large-scale urban traffic velocity estimation method can achieve velocity estimation on all types of roads, including suburban road sections and paths, instead of just focusing on main roads in a city center. According to the present invention, based on data driving, the urban traffic velocity estimation method does not need to install additional devices on roads, and is low in cost and high in universality. Compared with the prior art, the urban traffic velocity estimation method has higher practicability, theoretical property and applicability, and is of great significance for improving traffic management and planning.

The invention discloses an urban center barrier-free space efficiency optimization layout method based on multiple agents. Comprising seven steps of spatio-temporal behavior information acquisition and preprocessing, urban center barrier-free index extraction, barrier-free degree evaluation system construction, barrier-free space bottleneck identification, barrier-free space multi-agent model construction, multi-agent-based barrier-free space optimization analog simulation and barrier-free space optimization scheme visualization and intelligent regulation. Aiming at the problem that the traditional central region planning design neglects the behavior trajectory of the disabled people, the method achieves the intelligent perception of the spatial-temporal behavior trajectory of the disabled people, facilitates the improvement of the efficiency optimization and reasonable layout of the barrier-free space of the urban central region, improves the accuracy and scientificity of a planning scheme, and promotes the construction of a citizen city.

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 present invention discloses a muck transportation device, system and method applicable to the urban center. An abandoned slag well and a slag transportation channel are excavated at the construction site. Through the transportation mode of setting a horizontal belt slag transportation device + a stepped belt slag transportation device in the slag transportation channel, and through the stepped slag transportation mode, it is ensured that the abandoned slag does not slide during the movement process. At the same time, by changing the width of the road shoulder, a transportation site for the horizontal belt slag transportation device is reserved at a relatively small cost, which can effectively reduce the construction workload and save construction costs. By setting up a fence and a dust collector, it is ensured that the muck transportation process has zero impact on the urban environment, avoiding the traffic jams and environmental pollution hazards brought by traditional muck trucks, and effectively improving the comfort and safety of the city.

The application discloses a kind of center area non-regular living space full-time simulation optimization method based on multi-agent, including full-time non-regular living space space-time behavior information data acquisition and pre-processing, city center area non-regular living space function identification and index extraction, non-regular living space function-oriented differentiated weight evaluation system construction, non-regular living space inefficient area identification, full-time non-regular living space multi-agent model construction, non-regular living space optimization simulation based on multi-agent and non-regular living space optimization scheme visualization and intelligent control seven steps.The application realizes the intelligent perception and dynamic response of the behavior trajectory of people in non-regular living space in each period of the day, helps to promote the efficiency optimization and structure reasonable layout of non-regular living space in time dimension, improves the timeliness, accuracy and scientificity of planning scheme, and promotes the coordinated people's city construction in full-time.

The invention discloses a parking space and parking time coupled commercial operation method, which integrates idle parking space resources of a user residence and a unit through a digital platform (APP), authorizes a vehicle reaching the standard to be used in a specific time period, and realizes dynamic matching based on a formulation discount strategy. The method improves the parking space utilization rate, reduces the vehicle travel demand, relieves the traffic jam, enhances the user experience through pick-up service and charging and discharging management, and is suitable for occasions with dense parking demands, such as urban central areas, hospitals, shopping malls and the like.

The application provides a fabricated roof garden module and a construction method thereof, and belongs to the technical field of building.The application adopts a fabricated design, compared with traditional construction, reduces roof load, and after the installation of the planting disc is completed, the planting disc is in a hollow form, the completed planting disc is separated from the roof system, plants, substrate and water are not in contact with the roof, the leakage problem of traditional roof greening is solved, the waterproof quality of the roof is ensured, meanwhile, irrigation pipes are installed according to irrigation partitions during construction, the irrigation effect of plants is better, the urban greening area is expanded, the heat island effect of the urban center area is slowed down to a certain extent, the green construction requirement is met, therefore, the social and environmental benefits are obvious, and the application is worth promoting.

The invention belongs to the technical field of shield construction, and particularly discloses a shield lubricant capable of realizing rapid muck separation and a preparation method of the shield lubricant. The shield lubricant capable of realizing rapid separation of the muck comprises 25%-55% of alkyl alcohol phosphate salt, 10%-25% of polyethylene glycol, 15%-25% of fatty alcohol polyoxyethylene polyoxypropylene ether and 5%-20% of water-soluble polyether organic silicon. The shield lubricant capable of quickly separating the muck can play roles in lubricating, improving the muck and defoaming cloud points, so that the muck separation efficiency is higher, a mud cake is tighter, and the water content of the mud cake is 1t; 30%. The shield lubricant capable of realizing rapid muck separation is suitable for urban center shield project construction and mud and sand field separation, and has the advantages of high efficiency, low cost, capability of shortening the construction period and the like.

The invention relates to the technical field of crossing of urban ecology, biogeography and urban planning, and discloses a method for predicting potential distribution of birds in an urban central area. According to the method, a green land is extracted based on two periods of historical land utilization data, a function connectivity index is calculated by applying a circuit theory, and a function connectivity-bird distribution relation model capable of reflecting spatial heterogeneity is constructed by combining bird distribution data in the same period and utilizing geographically weighted regression (GWR). Secondly, predicting a land utilization scene of a target year (such as 2035) by utilizing a PLUS model, extracting a green land, and calculating a future function connectivity by adopting the same parameters; and finally, inputting the future function connectivity into the constructed GWR relation model, and inversely predicting the potential spatial distribution of birds in the target year. According to the method, a landscape connectivity physical mechanism, spatial heterogeneity modeling and future scene simulation are effectively integrated, the precision and practicability of urban bird distribution prediction are remarkably improved, and a scientific tool is provided for urban biodiversity protection and greenbelt planning.