7 results about "Suburban area" patented technology

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 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.