14 results about "Suburban area" patented technology

A floating raised planter bed with innovative buoyant floatation capabilities is designed to mitigate flood damage to plants and property. The floating raised planter bed can comprise one or more planter bed sections. The floating raised planter bed has built-in buoyant structure that allows it to rise and float during flooding events, which not only safeguards the plants it contains but also enhances flood resilience in urban and suburban areas.

The utility model relates to the technical field of rainwater management in urban planning and construction, and discloses a sponge city rainwater management system for suburb areas, which comprises a rainwater collection module, a rainwater purification module and a rainwater storage module, the rainwater collecting module comprises a roof water collecting device, a shallow concave type water collecting groove and a linear water collecting ditch. According to the sponge city rainwater management system for the suburb area, through the arrangement of a rainwater collection module, a rainwater purification module, a rainwater storage module, a second water pump and a drainage pipeline, the whole-process closed-loop management of rainwater from collection, purification, storage to reuse can be realized, so that the utilization rate of the rainwater in the suburb area is increased; according to the invention, the water resource waste is reduced, the ecological system service function in the region can be enhanced, the operation and maintenance cost of municipal infrastructures is reduced, the service life of equipment is prolonged, and the public service quality and the resident life quality are improved.

An underground logistics and unmanned aerial vehicle combined terminal station comprises an underground logistics station which comprises an underground pipe gallery and a conveying track arranged on the underground pipe gallery, and the underground pipe gallery comprises a collecting and distributing end extending to an urban suburban area and a plurality of goods taking ends extending to an urban area; the conveying rail is laid along the underground pipe gallery and used for conveying goods from the collecting and distributing end to the goods taking end. The unmanned aerial vehicle station comprises an unmanned aerial vehicle starting and stopping platform, an unmanned aerial vehicle delivery device and an unmanned aerial vehicle warehouse, the unmanned aerial vehicle starting and stopping platform is used for taking off or landing of the unmanned aerial vehicle, and the unmanned aerial vehicle delivery device is used for transferring the unmanned aerial vehicle between the unmanned aerial vehicle warehouse and the unmanned aerial vehicle starting and stopping platform; the logistics temporary storage station comprises a temporary storage table and a conveyor, the temporary storage table is used for containing goods, and the conveyor is used for transferring the goods on the unmanned aerial vehicle starting and stopping platform to the temporary storage table; and the logistics sorting station comprises a recognizer and a sorter, and the sorter transfers the goods to the corresponding conveying rails according to the goods logistics information recognized by the recognizer.

The present invention proposes a method for automatically identifying urban and suburban areas using an unsupervised machine learning algorithm. This method uses building outline data to automatically calculate building morphological features, obtains key indicators that reflect the degree of urbanization through feature extraction, and automatically identifies the spatial extent of urban and suburban areas using an unsupervised machine learning algorithm. This method can reduce manual intervention, simplify the workflow for demarcating urban and suburban boundaries, and can finely identify the spatial extent of areas with different degrees of urbanization. The method is highly repeatable and efficient, can quickly process large-scale data, and achieve efficient identification of urban and suburban areas. It provides a base map reference and technical support for the construction of a "one map for national land space planning" in the context of national land space planning.

This invention relates to the field of steel pipe pile technology and discloses a prestressed steel pipe concrete pile and its usage method, including an overall external mechanism, which also includes an overall chassis. The invention is designed with a bottom fixing mechanism. The soil characteristics from the soil surface to 40 cm underground are relatively dry, fine and have poor seismic resistance. The soil characteristics below 40 cm are moist, soft and have poor stability. According to the normal construction process of small villas, the foundation should be buried to a depth of 100 cm. When the foundation of this invention is being fixed, the bottom fixing mechanism extends outward due to soil resistance and stores a portion of the fine and dry surface soil inside the fixing column. After going deeper, it mixes with the moister soil underground, making the equipment more stable. It takes advantage of the large temperature difference between day and night in suburban areas, the poor thermal conductivity of the outer wall of the overall stone slab, and the low temperature. The overall condensation plate is a metal product with high thermal conductivity, which absorbs the surrounding temperature and prevents condensation from occurring inside.

The application discloses an intelligent division method for police case high-occurrence areas based on density clustering and k-means clustering, and the method comprises the following steps: obtaining police case data of a city; preprocessing original police case data to obtain data after unification and standardization; clustering the data after preprocessing by using a density algorithm to obtain all categories and corresponding data of each category; clustering the police case data of all categories by using a k-means algorithm; then clustering all police cases of each police case data by using the density algorithm to obtain all categories and corresponding data of each category; extracting boundary points of each category data to obtain corresponding boundary contours, that is, to obtain police case high-occurrence areas. The application can accurately identify police case high-occurrence areas, and can effectively balance the uneven distribution of police case high-occurrence areas in urban areas and suburban areas, thereby providing effective data support for subsequent police deployment, unified dispatching and command.

The invention discloses a hydrogel flame-retardant material with strong adhesion and efficient flame retardance as well as a preparation method and application thereof, and belongs to the technical field of flame-retardant materials. The preparation method comprises the following steps: adding water-absorbent resin and a flame retardant into ethanol in proportion, performing magnetic stirring, then performing low-temperature ultrasonic treatment to obtain a suspension, drying and crushing to obtain composite flame-retardant material powder, adding the composite flame-retardant material powder into water, and fully swelling to obtain the hydrogel flame-retardant material with strong adhesion and efficient flame retardance. The fire extinguishing agent can resist flame burning of a butane spray gun at the temperature of 1800 DEG C, and can be widely applied to areas with high wildfire disaster risk, such as forests and suburban areas.

The application discloses a digital signal processing method based on automatic shielding of 5G repeater interference signals, and relates to the technical field of digital signal processing.The application solves the technical problems of insufficient utilization of interference space characteristics and poor interference cooperative suppression effect.The application combines a time domain power integration and a scene threshold model, dynamically calculates a threshold according to historical data of a repeater area and base station load, adapts to different scenes such as urban core areas and suburban areas, reduces interference misjudgment and omission rates, breaks through single time domain power threshold judgment, extracts space characteristics such as DOA, polarization angle and inclination angle of interference, uses a DBSCAN clustering algorithm, clusters "interference groups" based on space characteristic dimensions, distinguishes multipath interference, coherent interference and isolated interference, constructs an interference group space correlation graph, a cooperative beam forming and a real-time updating suppression system, divides a strong correlation interference subgraph by using a graph segmentation algorithm, designs unified shielding parameters for the subgraph, and the suppression strategy is more targeted.

The utility model belongs to the technical field of cold-chain logistics transportation, and discloses refrigeration transportation equipment which comprises a refrigeration system, a heating system, a controller and a transportation box. The refrigerating system comprises a compressor, a condenser, an evaporator, a first fan and an expansion valve, the compressor, the condenser, the expansion valve and the evaporator are sequentially communicated, the output end of the evaporator is communicated with the input end of the compressor, and the first fan is arranged corresponding to the evaporator. The heating system comprises a first fan and a heater, and the heater corresponds to the first fan. The controller is in signal connection with the refrigerating system and the heating system. A storage space and an equipment space are formed in the transport case, the storage space is used for storing articles, and the equipment space is used for containing the refrigerating system, the heating system and the controller. The refrigeration transportation equipment is compact in structure, neat and attractive in layout, simple and convenient to install and maintain and capable of being used for material storage and transportation between field and suburban areas, and the cold chain transportation cost is reduced.

An urban logistics distribution system based on underground pipe galleries and unmanned aerial vehicles comprises first-level stations arranged in suburban areas of different cities, and each first-level station is provided with a medium-large unmanned aerial vehicle platform and a sorting station; the plurality of secondary stations are arranged in the urban area of the city, and each secondary station is provided with a small and medium-sized unmanned aerial vehicle platform; and the underground pipe gallery is communicated with the first-stage station and all the second-stage stations, conveying lines are arranged in the underground pipe gallery, the sorting station is used for sorting the goods received by the first-stage station and then transferring the goods to the corresponding conveying lines in the underground pipe gallery, and then the conveying lines convey the goods to the corresponding second-stage stations. According to the scheme, high-efficiency conveying is ensured, and meanwhile distribution coverage of all urban areas in a city is achieved through the arrangement of the underground pipe gallery and the multiple secondary stations. The invention further provides an urban logistics distribution method based on the underground pipe gallery and the unmanned aerial vehicle.

The invention relates to a quantitative evaluation method for the influence of roof photovoltaic deployment on an urban dry island effect, and the method comprises the following steps: (1) obtaining the land utilization type data of a Chinese region, and then analyzing meteorological grid point data and urban meteorological observation station data; (2) replacing the land utilization type data in the mesoscale climate mode; then, according to the researched city, performing parameterization setting in a mesoscale climate mode; (3) selecting a physical parameterization scheme, and performing a numerical simulation control test; then verifying the simulation capability of the model; (4) setting sensitivity tests of numerical simulation of distributed photovoltaic deployment with different coverage rates, and outputting corresponding simulation results; and (5) performing time and space processing on the air specific humidity variables of the urban area and the suburban area according to results simulated and output by different sensitivity tests, and performing comparative analysis to quantitatively evaluate the influence of the urban scale roof photovoltaic deployment on the urban dry island effect. The method is efficient and accurate, and has relatively low cost and resource consumption.

The application provides a high-spatial-resolution real-time environmental air quality monitoring data acquisition method, and belongs to the technical field of environmental air quality monitoring. The method establishes a nationwide weather field weather typing database and an air quality historical simulation database to establish the relationship between simulated meteorological characteristics and weather typing data and air quality data of each region, and then based on the above relationship, real-time air quality data of the place is calculated through real-time acquisition of current position coordinates and monitoring data of nearby national control stations. The application solves the problem that there are no environmental air quality monitoring stations in suburban areas, rural areas, mountainous areas, tourist attractions, urban communities and other places, and there is no accurate monitoring data, and has the advantages that real-time and accurate air quality data of any region in the country can be quickly obtained.

This invention discloses a low-altitude flight system with an inverted checkpoint flight path powered by a gravitational potential energy battery, belonging to the fields of low-altitude economy and eVTOL aircraft technology. This invention overcomes two major bottlenecks in the current low-altitude industry, abandoning the traditional technical route of existing eVTOL aircraft relying entirely on onboard chemical batteries to counteract gravity. Instead, it utilizes the natural altitude difference of urban areas to construct a natural gravitational potential energy battery. Through external auxiliary power from the municipality, the aircraft climbs to accumulate gravitational potential energy, maintaining gliding with powered attitude to complete the main commuting and logistics flight journeys. At the end of the flight, it quickly switches to the conventional eVTOL vertical takeoff and landing mode for a smooth landing. The entire system consists of two standardized units: a dedicated low-altitude flight vehicle and a standardized containerized takeoff and landing power supply cabin three meters above the ground. A pre-tensioner assembly ensures safe power supply and automatic cable retrieval during the aircraft's climb phase. The system uses a base flight altitude of 2,000 meters, which can be flexibly adjusted. It employs a fixed 45-degree climb angle, a 10:1 fixed glide ratio, and an inverted checkpoint dedicated flight path architecture. Combined with an artificial intelligence model, it achieves intelligent airspace scheduling and fully automated takeoff and landing control of the aircraft. This invention employs a closed, isolated takeoff and landing mode at a height of three meters above the ground, completely avoiding the safety hazards caused by the mixing of ground and air traffic spaces. It features low overall energy consumption, controllable maintenance costs, and the ability to achieve affordable pricing for low-altitude travel after large-scale operation. The solution perfectly addresses the pain points of commuting in mountainous cities, effectively alleviating traffic pressure on core urban roads. It also possesses the practical capability to replace ring-city rail transit in megacities, opening up low-altitude travel channels between suburban areas and the main urban area. Based on a lightweight, modular deployment model, it is easily mass-produced and deployed in urban networks. It aligns closely with national policies supporting the development of the low-altitude economy and reducing overall social travel and logistics costs, possessing extremely high urban application value and commercialization prospects.

The invention relates to the technical field of deep learning, in particular to a hierarchical structured address-based high-precision duplicate removal fusion library building method, which comprises the following steps of: carrying out preliminary word segmentation and preprocessing on an address text by adopting a dictionary-based algorithm cluster and rule segmentation marking method, and carrying out conflict detection, authoritative verification and forced correction to obtain a hierarchical structured address-based duplicate removal fusion library; for old-to-new-code adaptation, associating old codes to new codes, defining an anchor point relationship between urban areas and suburbs, integrating field information by adopting an official source priority and non-NULL supplement principle, forming a complete address, storing processed address data into a special database, constructing a complete Shanghai address database, and updating an authoritative data layer regularly; and according to the new change and the business demand optimization model and algorithm, obtaining a continuously optimized address library. According to the method, the problems of high repetition rate and low fusion precision of address data caused by'double-track system expression, administrative division confusion, urban and rural structure difference and dynamic update lag 'are solved.