77 results about "Urban dweller" patented technology

The invention discloses an urban resident travel activity pattern acquisition method based on multi-source positioning data. The urban resident travel activity pattern acquisition method comprises thesteps of: (1) performing denoising processing on mobile phone signaling data, and identifying a travel endpoint base station and a passing-by base station of a user; (2) matching the travel endpointbase station and the passing-by base station acquired in the step (1) to a road network map, so as to obtain a travel route of the user; (3) calculating a travel distance, travel time and an average travel speed of the user, and identifying a travel mode of the user; (4) and identifying a travel purpose of the user by utilizing social network information near the travel endpoint base station. Theurban resident travel activity pattern acquisition method can effectively utilize the mobile phone signaling data and the social network data to identify information in various aspects such as the travel origin and destination, travel time, travel distance, travel mode and travel purpose of urban resident travel activities, and provides a novel resident travel activity chain investigation method for the field of urban transportation planning.

The invention discloses a method for predicting the daily water consumption of urban residents. Based on the detailed data of residents' domestic water consumption, the data is merged according to the time period type of residents' domestic water consumption, and according to the merged water use data, the time scale is calculated according to the hour and day. Two time scales are used to predict the domestic water consumption of urban residents and achieve better results. The present invention can simulate and analyze residents' domestic water consumption, and can provide residents with services such as water consumption forecasting and step-by-step water price prompts; on the other hand, by predicting the daily water consumption of all users in a certain area, it can provide microscopic water supply for water supply enterprises. Scheduling provides an auxiliary decision-making basis, thereby reducing water supply energy consumption, and at the same time reducing the leakage rate of the pipe network which is proportional to the water supply pressure.

The invention relates to the field of window nets, and in particular, relates to an anti fog and haze window net. The anti fog and haze window net provided by the invention includes an outer-layer dedusting window net and an inner-layer purifying window net; the outer-layer dedusting window net mainly filters dust in air, and the inner-layer purifying window net mainly plays roles in adsorbing and filtering bacteria in the air and harmful chemical gases in automobile exhaust gas, so the anti fog and haze window net provided by the invention not only has the dedusting function, but also has the functions of filtering the bacteria and the harmful chemical gases. The anti fog and haze window net provided by the invention can effectively control and improve the high-altitude indoor air quality in a haze weather, absorbs harmful bacteria, microorganisms and dust in the air to a greatest extent, plays a great role in protecting body health of indoor occupants, is of great significance to maintain the body health of all urban residents in future urban construction, and also plays a key role in improvement of the urban living environment in the future.

The invention discloses an intelligent rubbish classified recovery method and device based on big data and Internet of things. The intelligent rubbish classified recovery device comprises an intelligent system platform and an intelligent rubbish classified recovery device body. The intelligent system platform and the intelligent rubbish classified recovery device body are in wireless network connection through a wireless network adapter. Meanwhile, intelligent rubbish classified recovery equipment comprises a ground sorting recognition box body and an underground intelligent environment-friendly box body. By applying the big data and Internet-of-thing technology, effective development of rubbish classification work can be promoted, rubbish classification is optimized, a clean and tidy cityenvironment can be better created, and the good health of urban residents can be facilitated.

The invention provides an urban resident demand supply bidirectional evaluation method based on big data. Mobile signaling is effectively utilized to be combined with POI information; the resident living circle is quantified from two perspectives of public service facility supply and demand; on one hand, actual demands of residents can be known; on the other hand, the supply state of the current resident living circle is mastered; the difference between supply and demand is analyzed, the supply and demand relationship of various public service facilities in the resident living circle is evaluated, the supply weakness in resident living circle construction is made up, repeated construction is reduced, community convenience and habitability are created, the use efficiency of urban public resources is improved, and the resident satisfaction is improved.

The invention discloses an urban traffic operation evaluation method based on ecological indexes. The method comprises the following steps: acquiring driving parameters of a sample vehicle by utilizing vehicle trajectory data of a floating vehicle; preprocessing the vehicle track data of the floating vehicle; defining a minimum directed road section and ecological cost in the road network; calculating the ecological index of the minimum directed road section in the road network; calculating an ecological index of a directed path in the road network; calculating an ecological index of a directed path set in the road network; and optimizing and adjusting the urban traffic operation scheme according to the calculated ecological indexes of the minimum directed road section, the directed path and the directed path set in the road network to improve the urban traffic. According to the invention, technical reference bases can be provided for urban management departments, urban traffic planning and facility construction, accurate and comprehensive traffic travel cost can be provided for the public, and urban resident travel ecologicalization and sustainable development of urban traffic systems can be promoted.

The invention provides a method for predicting domestic water consumption of urban residents and an application thereof. The method comprises the following steps: counting the water consumption of household domestic water consumption terminal appliances of residents, and counting the number of families, age distribution and water consumption habits; carrying out non-parameter inspection on the family number, the age distribution, the water consumption habit and the water efficiency level, and solving the correlation between the influence factor and the water consumption of the terminal appliance; and according to the influence factors on the water consumption of the terminal appliance obtained through inspection, adopting a neural network model to construct a terminal-family-urban residentliving water consumption prediction model. According to the method, the household water consumption terminal is used as a water consumption starting point; the total domestic water consumption of urban residents is used as a final water consumption accounting target; the influence effect of driving factors on the domestic water consumption of the urban residents is defined; and the water consumption rule in families is revealed. The method for predicting domestic water consumption of urban residents constructs a water consumption terminal-family-urban resident domestic water consumption modeland carries out scene analysis, so that a theoretical basis and a scientific basis are provided for making an urban resident domestic water consumption quota.

The invention relates to the field of urban road auxiliary equipment, in particular to shed cover equipment for sidewalk sun shading and rain sheltering and a using method of the shed cover equipment.The shed cover equipment comprises a support, wherein the upper end of the support is provided with a shielding mechanism used for shielding sunlight or rain, the support is provided with a protection box used for preventing the shielding mechanism from falling, and the protection box is internally provided with a protection mechanism; and the protection mechanism is in transmission connection with the shielding mechanism through a pull rope, a cleaning mechanism used for cleaning the shielding mechanism is fixed to the support, and the shielding mechanism is in transmission connection with the cleaning mechanism. According to the shed cover equipment for the sidewalk sun shading and rain sheltering and the using method of the shed cover equipment, traveling of urban residents is facilitated, the health and safety of pedestrians are protected, a sun shield can be automatically cleaned, time and labor are saved, the labor intensity of urban management personnel is reduced, and the safety and reliability of the shielding mechanism are improved and the pedestrians on a sidewalk are protected through the protection mechanism.

The invention provides a vegetable-growing box. The box comprises an upper layer and a lower layer, wherein the soil is held on the upper layer, water is held on the lower layer, an interlayer between the upper layer and the lower layer is provided with a plurality of drainage holes, and a universal wheel is arranged on the bottom of the box. The box is characterized in that a water seepage column is arranged in the soil-holding box; the water seepage column is hollow and filled with nano fiber, the upper end of the nano fiber is contacted with the soil, and the lower end of the nano fiber is contacted with the water in the water-holding box; and when the moisture of the soil is low, the nano fiber can absorb water in the water-holding box to supply water to the dry soil, so that the soil can keep a certain moisture all the time, which contributes to the growth of the plant in the vegetable-growing box. The vegetable-growing box can be put on places capable of getting sunshine, such as balconies and windowsills to grow vegetables, so the vegetable-growing box can help urban dwellers to fulfill the will of growing vegetables.

The invention relates to an artificial aeration strengthened water treatment device for an urban leisure and recreation area. The device is characterized in that the bottom end of a vehicle support is fixedly connected to foundation soil, the top end of the vehicle support is fixedly connected with a saddle support, a saddle is fixedly connected to the top end of the saddle support, a wheel is connected to the top end of the vehicle support in a shafted mode, a pedal connecting rod is located on the two sides of the wheel and is coaxial with the wheel, and pedals are connected to the ends of the pedal connecting rod; a handrail support is fixedly connected to the vehicle support, and a handrail is fixedly connected to the top end of the handrail support; the back end of a connecting rod is in shaft connection with the wheel, the front end of the connecting rod is in shaft connection with a piston connecting rod, an air cylinder piston connected to the front end of the piston connecting rod is located in an air cylinder body, the front end of the air cylinder body is connected with an air inlet of an exhaust pipe, the exhaust pipe is provided with exhaust branch pipes, the tops of the exhaust branch pipes are sealed by branch pipe covers, and a port formed in the front end of the exhaust pipe is provided with an exhaust pipe seal. Compared with the prior art, the operation cost can be lowered, the body building function of urban residents is achieved, and the physical quality of the residents is improved.

The invention discloses a subentry load prediction method for fine-grained electricity consumption behaviors of resident users. The method comprises the steps of obtaining historical sample data of subentry electricity consumption of the resident users in a community; constructing a training sample set and a prediction sample set of a prediction model; taking the date corresponding to each subentry electric quantity in the training sample, holiday or workday, each temperature, peak valleys and each corresponding subentry electric quantity as the input of an AdaBoost iterative algorithm, and training a model; taking the date, holiday or workday, temperature and peak valley corresponding to each subentry electric quantity in the prediction sample as the input of an AdaBoost iterative algorithm to obtain a corresponding output result; and performing influence factor addition processing on the output result to obtain each sub-item load data of the resident user in a certain day in the future. According to the method, the fine-grained subentry load data of urban residents can be scientifically predicted, and the technical problems that an accurate model is difficult to establish to predict due to small subentry power load data of residential areas and complexity and variability of influence factors and the like are solved.

The invention discloses a method for recycling and comprehensively treating household garbage of urban residents through full resource recovery. The method comprises a garbage classification and collection process, a garbage sorting process and a harmless recycling treatment process. Garbage in each garbage transfer station is conveyed into a garbage unloading area in a vehicle transportation mode, garbage cans of the same type of garbage are classified and sorted through a machine recognition system, the garbage is divided into other garbage, kitchen garbage, recyclable garbage and harmful garbage, the other garbage is used for power generation and landfill, the kitchen garbage is used for composting after being degraded, the recyclable garbage is subjected to magnetic separation, winnowing and photoelectric separation recovery treatment, and the harmful garbage serves as hazardous waste and is treated in a centralized mode. The urban household garbage is intelligently classified according to different garbage categories, and is recycled according to the characteristics of different garbage, so that recycling, harmlessness, reduction, industrialization and profit maximization of the household garbage are achieved.

The invention discloses a handheld inner and outer layer glass cleaning device for urban residents. The device comprises a work box and a grip fixedly connected to the lower end face of the work box.A button is fixedly arranged on the left end surface of the grip. A working cavity is fixedly formed in the working box. A first threaded rod extending leftwards into the working cavity is rotationally arranged on the right side of the working box. A rotating handle located on the right side of the working box is fixedly arranged on the first threaded rod. The invention relates to a handheld glasscleaning device. The lifting box is detachably connected, the outer-layer glass can be cleaned, and inner-layer glass can also be cleaned after disassembly and reassembly. The glass cleaning device can be filled with a cleaning agent, so that the cleaning efficiency is improved. The glass cleaning device can be adjusted to a proper position and height through the rotating handle and the lifting device, the glass can be conveniently and efficiently cleaned, and the personal safety of a user is guaranteed.

The invention discloses a smart city analysis and evaluation method, which comprises the following steps of a, data acquisition: performing data acquisition according to smart city evaluation indexes, establishing a data acquisition document of a city X by analyzing data, and establishing a government data acquisition document x and a resident data acquisition document y for the acquisition document of the city; b, a data collection and calculation platform: calculating the sum of scores of 40% of the urban government data collection document Xx and 60% of the urban resident data collection document Xy; and c, performing secondary calculation on the data: performing secondary calculation on the numerical value calculated in the data collection and calculation platform through an urban evaluation index to obtain an urban evaluation score. According to the invention, civil dispatches are included in the smart city evaluation, so that the smart city evaluation is more humanized.

The invention discloses an urban park greenbelt service level evaluation system and method. The system comprises a basic data entry module, an index analysis module and an evaluation result generationmodule. The basic data entry module is used for inputting factors influencing the park greenbelt service level, including park greenbelt service supply quality, park greenbelt service fairness and urban resident satisfaction; the index analysis module is used for analyzing the factors influencing the park greenbelt service level to obtain an analysis result; and the evaluation result generation module is used for generating an evaluation result according to the analysis result. The park greenbelt service level evaluation result is generated according to evaluation of three dimensions of parkgreenbelt service supply quality, park greenbelt service fairness and urban resident satisfaction, the service level of the target park greenbelt is obtained, and a theoretical basis is provided for urban park greenbelt planning. The method is of great significance to the fairness and meaning of urban resident life quality and social resource allocation.

The invention provides an urban public sports space fairness measurement method based on multi-source urban data. The method comprises the following steps: acquiring main data such as a residential building contour, a sports space, a bus station POI, an urban road network and public comment; performing corresponding cleaning and classification processing on the data, and then establishing a database in an ArcGIS; urban residents are set to carry out measurement evaluation on urban public sports space fairness by taking walking, driving and public transportation as main travel modes, taking a life circle concept as a limiting condition and taking an ArcGIS network analysis module as a technical means; and carrying out public sports space fairness measurement on a specific city to obtain a visual and quantifiable result. The result obtained by the method is fine and accurate, the current public sports space distribution situation can be effectively evaluated, and the result can be used as reference information of urban sports space development planning.

The invention relates to an intelligent garbage treatment and comprehensive management method, relates to the technical field of garbage treatment, and solves the problem that garbage classification and storage and scientific treatment of urban residents are severely affected by an early-stage classifying form as classifying is not severe although several garbage classifying barrels are arranged at present, and the residents put garbage into corresponding garbage cans, and a garbage transportation vehicle does not treat according to garbage classification and mixes the garbage together to transport away. The intelligent garbage treatment and comprehensive management method comprises the following steps: a step S100 of performing intelligent garbage classifying, dividing and defining classified garbage into recyclable garbage and garbage according to functions; a step S200 of reasonably distributing transportation vehicles to transport different kinds of garbage to corresponding treatment positions, and not defining treatment positions of the recyclable garbage and the unrecyclable garbage on the same position; and a step S300 of accomplishing transportation of garbage and timely noticing a worker. The intelligent garbage treatment and comprehensive management method realizes intelligent classifying, and transports garbage to a needed treated place according to different categories.

In order to solve the problem of insufficient excitation of urban resident electricity and carbon emission reduction, the invention provides an urban resident electricity and carbon emission trading method based on reputation points on the basis of step tariff. The method comprises the following steps that: firstly, a power supply company calculates the electricity and carbon emission cycle quota of urban residents according to electricity and carbon supervision requirements and step electric quantity, and formulates an electricity and carbon emission transaction rule; and then, the urban residents carry out power-carbon emission transaction based on the reputation level, a reputation level mode is introduced in the transaction process, multi-type power-carbon emission transaction mechanism price floating is realized according to the reputation level of the urban residents, and the income of the urban residents participating in the power-carbon emission transaction is improved. And formulating an urban resident electricity and carbon emission trading strategy according to the reputation level, exciting the urban residents with high points, and punishing the urban residents on the contrary. Therefore, urban residents are stimulated to participate in carbon emission reduction.

The invention discloses a residential building loss calculation method based on a disaster damage curve and a hydrodynamic model, and belongs to the technical field of municipal engineering. The method comprises the following steps: firstly, dividing urban resident income levels according to family income and expenditure data, evaluating the types and quantity of family indoor properties of different income levels, and establishing corresponding building disaster and damage curves including an indoor property loss curve and a house structure curve by adopting a synthetic curve method; secondly, constructing a one-dimensional pipe network model, an earth surface confluence model and a two-dimensional earth surface sheetflood model according to data such as an urban drainage pipe network, terrain elevation and river and lake water systems, coupling to obtain an urban waterlogging model, and calibrating and verifying the urban waterlogging model; and finally, on the basis of the urban inland inundation model, calculating the residential building loss under different design rainfall scenes in the research area by adopting a disaster damage curve, thereby obtaining the loss distribution condition of the research area. According to the method, the limitation of a traditional disaster damage curve construction method can be broken through, the method of combining the disaster damage curve and the hydrodynamic model is used for evaluating the loss, and the method is beneficial for improving the loss calculation efficiency and precision.

The invention discloses an office building configuration motor vehicle parking space index calculation method, and belongs to the field of urban parking planning management. The method comprises the steps of 1, calculating the building area of office land according to the land area and the plot ratio; 2, determining the number of officers according to the per capita office area; 3, according to the travel mode structure of urban residents, calculating the travel attraction amount of cars for office work at peak hours; 4, according to the parking turnover rate of the office building, calculating the number of parking spaces needing to be built for the office building; and step 5, calculating configuration indexes of the office buildings. According to the method, a quantitative calculation method is adopted, large errors caused by qualitative analysis and experience reference when indexes of the matched parking spaces are adjusted are avoided, and objectivity and scientificity of government departments for parking planning management are improved.