57 results about "Commercial area" patented technology

The invention discloses a big data energy management method for intelligent monitoring of a community, and relates to the technical field of energy management, and the method is characterized in that through the hierarchical processing of community energy consumption data, the comprehensive analysis of a time dimension and a periodic rule is combined, and the energy use characteristics can be deeply mined. According to the processing mode, data of residential areas, public areas and commercial areas are layered, and detailed statistics is carried out according to categories of electric power, water resources, natural gas and the like, so that extraction of energy consumption characteristics is more targeted and systematic. Through time interval segmentation and clustering analysis, the behavior pattern of energy consumption is identified, and abnormal fluctuation characteristics are found in combination with entropy calculation, so that an abnormal source lower than a threshold value can be accurately positioned, and the efficiency and accuracy of troubleshooting are remarkably improved. Meanwhile, based on the dynamic prediction of the future energy consumption trend, in combination with the correlation analysis of the fluctuation region and the risk equipment, the potential problems in the energy consumption can be effectively pre-judged.

The invention discloses a building group energy-saving management and control method and system based on big data analysis, and relates to the field of big data analysis, and the method comprises the steps: carrying out the standardization processing of the real-time visitor flow data of a commercial district, and the subentry energy consumption data, time information and environmental parameters of the commercial district and a residential district, and constructing a current scene feature vector; screening matched similar historical scene samples, and generating a commercial district people flow prediction curve in a future target time period through weighted fitting calculation; screening matched historical regulation and control records, and performing weighted calculation to obtain a mean value as a historical reference regulation and control parameter; generating a candidate parameter combination according to a preset step length, calling the corresponding total energy consumption and the indoor temperature of the residential area, and selecting an energy-saving regulation and control instruction; and adjusting operation parameters of the commercial district energy system according to the energy-saving regulation and control instruction. According to the building group energy-saving management and control method and system based on big data analysis, the problem that the use comfort of a residential area is poor due to the fact that the energy consumption fluctuation of a commercial area is too large is solved.

The invention relates to the field of urban public transport deployment, and provides a public transport network matching method and system based on an urban space structure, which divides urban areas by constructing a traffic model, identifies areas with dense demands on the basis of power consumption density, and provides a public transport network matching method and system based on the urban space structure. And the coverage condition of the existing public transport network on the areas with dense demands is evaluated, and uncovered areas are identified. For the uncovered areas, the information of stores and companies in the map data is used to subdivide the uncovered areas into a plurality of types of areas. A bus rapid transit system is additionally arranged in a commercial district to improve transportation efficiency, a peak period special line is additionally arranged in an office building area to meet commuting requirements, a customized bus special line is provided in an industrial district to meet requirements of specific periods and routes, and a conventional bus route is additionally arranged in a residential district to improve daily travel. Accurate matching between the urban space structure and the public transport demand is realized, and the coverage rate and efficiency of public transport service are improved.

The invention discloses a business area type virtual power plant system and an optimal scheduling method thereof, and the method comprises the following steps: quantifying unprovided expected energy reserve capacity and wasted expected energy reserve capacity based on a probability density function of a business area net demand prediction error; considering the electricity purchasing cost and the electricity selling income of the virtual power plant, the adjustable resource cost and the penalty term cost due to the fact that the expected energy reserve is not provided and the expected energy reserve is wasted, and establishing an objective function for minimizing the operation cost of the virtual power plant; establishing constraint conditions of operation of the virtual power plant, wherein the constraint conditions comprise a power generation and utilization power balance constraint, an adjustable resource power physical constraint and a reserve capacity constraint; and under the constraint condition, solving the target function to obtain a virtual power plant control decision instruction containing the reserve capacity. The invention proposes that the virtual power plant operator predetermines the reserve capacity by taking into account the economic and technical indicators of the dynamic risk reserve at a specific safety level to minimize the operating cost of the virtual power plant.

The invention relates to the field of power distribution network black start, in particular to a hybrid V2G facility driven power distribution network grading black start control method, which comprises the following steps: after a configuration network loses power, judging whether a V2G facility is in place or not, if so, setting the selection priority of a grading black start power supply, and if not, setting the selection priority of the grading black start power supply; wherein the black-start power supply comprises a V2G facility, a diesel generator, a distributed new energy source and a thermal power generating unit; sequentially entering first-stage black start, second-stage black start and third-stage black start, and implementing black start control strategies of corresponding stages; if all the target nodes recovered at the current level are recovered, entering next-level black start; wherein the control targets of the first-stage black start, the second-stage black start and the third-stage black start are as follows: focusing a core looped network branch node, and ensuring that a core load and a power supply auxiliary machine supply power; main branch nodes are expanded, and part of residential areas and industrial and commercial areas are recovered; and carrying out multi-source collaborative frequency modulation and global grid-connected recovery. Compared with the prior art, the method has the advantages of realization of graded black start, rapid and stable recovery and the like.

The invention relates to the technical field of asset management, in particular to a merchant asset liquidation method and system based on data analysis, and the method comprises the following steps: obtaining a geographic association degree based on asset list coordinates, a traffic network, commercial division and population census data; and establishing a multi-dimensional asset feature set by combining the geographic association degree with financial account parameters. According to the method, geographic correlation degree analysis is carried out based on asset list coordinates in combination with a traffic network, commercial division and population census data, data dimensions are expanded on the basis of traditional asset management, quantification of asset values by geographic positions is realized, and asset evaluation is enabled to better fit an actual commercial environment; and meanwhile, through quantitative association of factors such as traffic proximity in the asset feature set, the market influence of real estate in the region is reflected, and an asset space value factor is formed, so that the asset estimation can more accurately reflect the market supply and demand features and the region competition situation.

The invention provides a power network three-phase balance optimization method based on a multi-target particle swarm optimization algorithm, which belongs to the technical field of power grid three-phase balance adjustment, and comprises the following steps: acquiring low-voltage transformer area network topology and user power consumption data, initializing a particle swarm population, updating particle positions through a dynamic inertia weight and a self-adaptive learning factor, and optimizing the power grid three-phase balance. The three-phase unbalance degree, the voltage deviation and the economic cost are evaluated in combination with low-voltage power flow calculation, an external archiving mechanism, a crowding distance strategy and variation maintenance solution set diversity are adopted, an optimal phase sequence adjustment scheme and wire diameter configuration are output, and aiming at the characteristics of high impedance and three-phase load imbalance of a low-voltage transformer area, the voltage quality is remarkably improved, and the power consumption is reduced. The method is suitable for intelligent reconstruction of low-voltage distribution networks in residential areas, small industrial and commercial areas and the like, and has good practicability and economical efficiency.

The invention discloses a collaborative peak clipping dynamic scheduling optimization method based on a V1G and V2G hybrid electric vehicle. User charging demand parameters of an electric vehicle connected to a charging pile for charging are acquired in real time through a cloud platform, a target function of mixed integer linear programming and constraint conditions thereof are established according to the user charging demand parameters in combination with peak and valley electricity prices, and the load of the electric vehicle is predicted according to real-time electricity prices and load prediction. And solving the target function and the constraint condition thereof in the cloud platform to generate a peak clipping dynamic charging and discharging plan of the V1G and V2G vehicles, and issuing the charging and discharging plan to a charging controller of the charging pile through the cloud platform to realize cooperative charging adjustment of the V1G and V2G electric vehicles. The peak load of the transformer is effectively reduced, the service life of equipment is prolonged, and the power supply reliability is improved. The method is suitable for electric vehicle high-density scenes such as residential areas and commercial districts, and double optimization is provided for power grid peak clipping and user economy.

The invention relates to the technical field of electric power system new energy power prediction, and discloses a commercial district electric vehicle charging power probability model prediction method, system and device and a medium. The method comprises the following steps: acquiring a historical charging power time sequence of a charging pile in a target commercial area, commercial area passenger flow intensity data, commercial area parking turnover rate data and holiday and festival identification information; constructing a commercial district electric vehicle charging demand generation model based on the multi-source data, and generating demand driving factors; the historical charging power time sequence and the demand driving factor are spliced and then input into a long short-term memory neural network, and time sequence hidden state features are extracted; mapping the hidden state into a parameter set of Gaussian mixture distribution through a full-connection neural network; and finally, constructing probability distribution of the charging power, and outputting a probability prediction result of a future target moment. According to the method, commercial activity characteristics and charging behavior data are fused, the uncertainty of the charging load can be effectively described, and the reliability of a power distribution network dispatching decision is improved.

The invention discloses an intelligent operation and maintenance management method for a power conversion cabinet based on the Internet of Things, and relates to the technical field of the Internet of Things and a distributed system.The method comprises the steps that in the peak period such as the morning peak of a commercial district, multiple riders initiate power conversion requests at the same time, a system receives the requests through an Internet of Things gateway and generates a global unique identifier; each request is traceable and is prevented from being repeated; the requests are submitted to a consensus group formed by an edge node and a battery changing cabinet controller, and global monotonic serial numbers are distributed based on a sequence consistency protocol, so that ordered processing of the requests is realized, and distribution conflicts under network delay are avoided; the atomic occupancy mechanism is combined with token lease, battery resources are exclusively locked on the target battery replacement cabinet, and operation is completed only when a physical confirmation event such as a cabinet door state signal or battery handshake is matched with a token number, so that false occupancy and a deadlock state are prevented.

A commercial area virtual power plant system and an optimization scheduling method thereof, the method comprising the following steps: quantifying the failure to provide expected energy reserve capacity and the waste of expected energy reserve capacity based on the probability density function of the net demand forecast error of the commercial area; establishing an objective function that minimizes the operating cost of the virtual power plant by taking into account the virtual power plant's electricity purchase cost and electricity sales revenue, the cost of adjustable resources, and the penalty cost for failing to provide expected energy reserves and wasting expected energy reserves; establishing constraints for the operation of the virtual power plant, including: power balance constraints for power generation and consumption, physical constraints for adjustable resource power, and constraints for spare capacity; solving the objective function under the constraints to obtain virtual power plant control decision instructions including spare capacity. The present invention proposes that the virtual power plant operator predetermine the spare capacity by considering the economic and technical indicators of dynamic risk reserves under a specific safety level to minimize the operating cost of the virtual power plant.

This product is a disaster relief station composed of two storage compartments arranged in an upper and lower section, capable of storing disaster prevention and security supplies. This product can be placed in public spaces not prepared for earthquakes, such as streets, roads, shopping districts, and station plazas, and can be used to provide disaster relief to victims of sudden earthquakes. For example, this product includes a security alarm equipment section, an upper storage section, a lower storage section, and a floor adjuster section, arranged from the top to the bottom. The security alarm equipment section is located in the top section of this product and houses disaster prevention equipment such as alarms, communication devices, loudspeakers, and generators, and is powered by a solar panel pre-installed on the top surface of the security alarm equipment section. In addition, the disaster prevention equipment section has a built-in push-button type battery, which the user can activate by pressing the button. The upper storage section is located directly below the security alarm equipment section via an intermediate adjuster section and stores disaster prevention and security supplies. The upper storage section consists of an upper main body and upper doors. For example, one end of each of the two upper doors is pivotally supported at each of the left and right ends of the upper main body, which is open at the front, via long hinges for the doors. The other ends of the two upper doors are detachable via magnets, allowing them to open like double doors. The upper storage section can also be fitted with an upper partition plate in the upper main body. The lower storage section is located directly below the upper storage section via an intermediate adjuster and stores disaster prevention and security supplies in the same way as the upper storage section. The lower storage section is larger than the upper storage section and can store relatively large items such as fire extinguishers and drinking water among the disaster prevention and security supplies. The lower storage section comprises a lower main body and lower doors. For example, one end of each of the two lower doors is detachably positioned at each of the left and right ends of the lower main body, which is open at the front, via a detachable control unit (not shown). The other ends of the two lower doors are also detachably positioned via a detachable control unit (not shown). The lower storage section includes a vibration detection unit (not shown). When an earthquake occurs and vibration is detected by the vibration detection unit, the detachable control unit releases the two lower doors, allowing the user to access the large items stored in the lower storage section. The lower storage section can also be provided with a lower partition plate in the lower main body.The floor adjuster connects the lower storage section to the ground and securely fixes the item to the ground using fastening means such as bolts. Examples of disaster prevention supplies include fire extinguishers, drinking water, emergency food, mobile batteries, portable toilets, whistles, warm clothing and blankets, portable radios, athletic shoes, slippers, cloth adhesive tape, work gloves, first-aid kits, fire alarms, and emergency alarms. Examples of security supplies include security alarms, warning broadcasters, surveillance cameras, loudspeakers, and 110 emergency call devices. This item functions as a storage device that can store disaster prevention and security supplies in one place, and it can blend easily into the building space of the installation location, providing visual comfort. In this item, the security alarm equipment section can be colored yellow or black, and the lower storage section can be colored yellow or black. The upper storage section can be made of metal, for example, and colored metallic.

The multi-layer three-dimensional station structure comprises a station body and two vacuum transportation pipelines penetrating through the station body in a crossed mode, and a passenger collecting and distributing area, a matched commercial area, an equipment control area and an air traffic platform are arranged at the top of the station body. The two vacuum transportation pipelines are arranged on the two opposite sides of the top of the station structure body respectively, each vacuum transportation pipeline comprises an overground transportation pipeline and an underground transportation pipeline which are connected in a penetrating mode, and an opening in the upper end of each overground transportation pipeline is located in the passenger collecting and distributing area and is obliquely arranged along the station body at the inclination angle of 15-30 degrees; after being connected with an underground transportation pipeline close to the surface layer, the underground transportation pipeline extends in the horizontal direction so as to form two-way running paths for a train to enter and exit from a station, and the two-way running paths are respectively used for entering and exiting of the train; the problems that an existing station lacks organic fusion with a vacuum transportation pipeline, the gravitational potential energy of a train cannot be effectively utilized, and the requirements for efficient energy utilization and green energy saving of a multi-layer three-dimensional transportation system are difficult to meet are solved.

The invention relates to the technical field of transformers, in particular to an energy-saving evaluation method, system, equipment and medium for a capacity-regulating transformer, and the method comprises the steps: triggering a real-time calculation mechanism through small-capacity operation, dynamically capturing an actual energy-saving window of the capacity-regulating transformer in load fluctuation scenes of a rural power grid, a commercial area and the like, and evaluating the energy-saving performance of the capacity-regulating transformer; the problem of evaluation lag when a static model is separated from a real working condition is solved; a no-load and load multi-loss collaborative superposition framework is adopted, reactive economic conversion is synchronously fused, and the balance quantification problem that the load loss is increased during small-capacity operation is ignored in a traditional method is solved; voltage and load rate dynamic correction and bilateral metering temperature difference compensation are combined, so that the influence of voltage fluctuation and winding temperature change on copper loss calculation is effectively inhibited, and the evaluation precision in an industrial field complex environment is improved; through a topological adaptive parameter matching mechanism, the method is compatible with mainstream capacitance adjusting structures such as star-delta structures and series-parallel structures, and rapid energy efficiency evaluation of batch transformer transformation projects is realized by using national standard parameters.

1. The name of the design product: street lamp (bamboo rhyme). 2. The use of the design product: for the fixation and display of outdoor lighting and road traffic signs in urban streets, parks, squares, pedestrian streets, residential areas, tourist attractions, commercial areas, etc. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

1. The name of the design product: street lamp (open of Davidia involucrata Baill). 2. The use of the design product: for the fixation and display of outdoor lighting and road traffic signs in urban streets, parks, squares, pedestrian streets, residential areas, tourist attractions, commercial areas and other places. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

The invention relates to the technical field of parking optimization, in particular to a multi-scene adaptive parking optimization method, which comprises the step of constructing a parking demand sensing module, a parking resource scheduling module and a real-time feedback mechanism. Data are collected through a sensor network, a user terminal and an edge computing node, a dynamic parking demand prediction model is generated, and parking resource supply and demand matching is achieved through an optimization algorithm. A distributed computing architecture and a closed-loop feedback mechanism are introduced, and the parking resource utilization rate and the real-time response capability of the system are improved. Tests show that the resource utilization rate of the method under multiple scenes is increased by 20%-30%, the user satisfaction degree is remarkably improved, and the method is suitable for scenes such as commercial districts, residential districts and transportation hubs and has high universality and expansibility.

The invention discloses an economic data information statistical system based on artificial intelligence. The economic data information statistical system comprises a data acquisition device, an edge computing server, a holographic visualization terminal and a self-adaptive communication network, the commercial district node performs wide-area scanning on a consumption thermograph through an infrared thermal sensing unit, and the industrial district node directionally monitors the state of equipment by using a voiceprint sensor array; the edge server performs parallel processing on multi-source data through a heterogeneous computing module, and constructs a consumption-production dynamic association model; the holographic terminal drives the diffractive optical assembly to project three-dimensional economic indexes through the mechanical arm, and gesture interaction is supported to drill data details; a support table mechanism and a counterweight mechanism of the data acquisition device cooperatively guarantee scanning stability, a quick release interface realizes quick replacement of a sensor module, and a bin gate structure automatically protects core components. Through deep fusion of electromechanical integration design and AI analysis, the cross-domain data space-time alignment problem is solved, and the real-time performance, reliability and decision-making efficiency of economic monitoring are improved.

Disclosed are a hubless wheel display device and a location-based advertising system using same. The present invention has a display device for outputting an image to a hubless wheel of an electric mobility entity, thus being able to provide advertising information in real time, and can output advertising information, linked to surrounding areas and commercial districts, through the display device on the basis of the location of the electric mobility entity to improve the advertising effect.

The present invention relates to a method of generating a contents screening table customized for each theater and a system for the same. More specifically, the present invention relates to a method and system for deriving, when a contents screening table generation server acquires data on commercial districts around each theater, data on contents, and data on social networks from an analysis resource data providing server, prediction result values (e.g., number of audiences, main age group, etc.) by learning the acquired data using a prediction modeling algorithm, and generating a contents screening table customized for each theater on the basis of the prediction result values.

The invention belongs to an expressway in an urbanization area. The invention aims to improve the safety and mobility of road users, reduce energy consumption and environmental pollution and create an enterprise logistics system. The core of the invention is that the forward high-speed lane is located on the left side, the reverse high-speed lane is located on the right side, and the distance between the two lanes can accommodate company buildings. The vehicles are connected through a low-speed one-way traffic lane and can reach a commercial district, a passenger getting-on and getting-off point and a parking lot only at a right-hand curve. In order to ensure safe passage of pedestrians, bicycle riders and light motorcycles, a special passage is arranged on a second plane along the road between the buildings. A passenger tramcar with a loading and unloading area and loading and unloading equipment, a freight tramcar and a passenger traffic infrastructure are arranged below the special passage and on the underground part. And a logistics base is planned at the tail end of the track. And the second plane of the underground part comprises subway trains and infrastructures for passenger transportation. These purposes are achieved by avoiding intersections of traffic aisles and creating a reasonable multi-mode transportation and logistics system.

This invention discloses a method and device for countering drones based on acoustic resonance. This method uses acoustic waves to interfere with a drone's camera's anti-shake compensation system and flight control system, blurring the drone's camera footage and causing it to lose control. This countermeasure prevents threats to personal safety or interference with the normal operation of nearby civilian electronic equipment. This method and device can be used to cost-effectively counter malicious drones in densely populated and built-up areas, such as urban residential areas, commercial districts, and industrial zones, protecting the privacy of individuals and businesses from theft.

1. The name of the design product: street lamp (moon guitar). 2. The use of the design product: for the fixation and display of outdoor lighting and road traffic signs in urban streets, parks, squares, pedestrian streets, residential areas, tourist attractions, commercial areas, etc. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

This invention discloses an artificial intelligence-based economic data information statistics system, comprising a data acquisition device, an edge computing server, a holographic visualization terminal, and an adaptive communication network. Nodes in commercial areas use infrared thermal sensing units to wide-area scan consumption heatmaps, while nodes in industrial areas utilize acoustic fingerprint sensor arrays to directionally monitor equipment status. The edge server uses heterogeneous computing modules to process multi-source data in parallel, constructing a dynamic correlation model between consumption and production. The holographic terminal uses a robotic arm to drive diffractive optical components to project three-dimensional economic indicators, supporting gesture interaction to extract data details. The support mechanism and counterweight mechanism of the data acquisition device work together to ensure scanning stability, quick-release interfaces enable rapid replacement of sensor modules, and the warehouse door structure automatically protects core components. This invention solves the problem of cross-domain data spatiotemporal alignment through deep integration of mechatronics design and AI analysis, improving the real-time performance, reliability, and decision-making efficiency of economic monitoring.

In an artificial intelligence (AI)-based method for generating a building block in a commercial district, geographic information data of a target district and surrounding districts is acquired to construct a three-dimensional space sand table, then design conditions in various planning files and local legal regulations are translated and extracted to generate a three-dimensional building block of the district, and then a training sample library of three-dimensional contour lines of the district is constructed, a machine learning model is loaded to generate three-dimensional building heights of the district and optimize building forms, to generate a plurality of schemes for the building block of the district, and finally simulated display of the schemes and display of scheme indexes are performed by using a holographic display device, and the schemes are outputted.

The utility model relates to a multimedia music landscape device which comprises a plurality of human-shaped pipe body unit assemblies, each pipe body unit assembly comprises a main pipe body and a plurality of branch pipe bodies communicated with the main pipe body, the upper end of each main pipe body is provided with a flared containing groove, and a dry ice container is arranged in each branch pipe body. Dry ice contained in the dry ice container is atomized and then output outwards from an outward pipe opening of the branch pipe body and / or the main pipe body; the power supply is in power supply connection with the light sources, and the light sources are arranged outside the main pipe body and the branch pipe bodies; and the music playing sound box is arranged in the accommodating groove. According to the multimedia music landscape device, the beautiful visual effect and rich sensory experience are created by combining the white fog effect generated by the dry ice, light emitting and music playing. By means of the arrangement of the main pipe bodies and the branch pipe bodies in the human-shaped pipe body unit assemblies, the landscape device can be more flexible, the device can be widely applied to places such as parks, squares and commercial districts, and the novel and pleasant landscape device is provided for people.

This invention provides an online gas early warning and detection device for septic tanks, including a processor motherboard, sensors, I / O interfaces, and an alarm module electrically connected to the processor motherboard, and an ID card code recognition module electrically connected to the processor motherboard. The sensors include a catalytic combustion sensor, an electrochemical sensor, and at least two auxiliary sensors. The I / O interface includes a wireless communication module that can interact with the septic tank ID card code data acquisition and management system. This invention binds gas monitoring data to the unique identity of the septic tank through the ID card code recognition module. Combined with multi-dimensional sensor data and edge computing preprocessing, it achieves a precise association between "identity-data-location," significantly improving the scientific nature of septic tank management and emergency response speed. It can be widely used for online monitoring and safety early warning of various septic tanks in urban residential areas, commercial areas, etc.

The invention discloses an electric vehicle charging behavior identification method based on a user portrait, and the method comprises the steps: obtaining user portrait features and charging behavior data from a user database, processing missing values and abnormal values through a data cleaning technology, and obtaining a standardized user feature data set and a charging behavior data set; extracting space-time dynamic characteristics from the charging behavior data set, and decomposing charging frequency and charging duration distribution by adopting a time sequence analysis method to obtain charging behavior modes of the user in different time periods and places; according to the charging pile layout schemes of the commercial district and the residential district, optimizing power grid dispatching by adopting a linear programming algorithm, and determining power distribution proportions of different districts; and extracting personalized service requirements from the occupational background and the charging behavior mode of the user, generating exclusive charging time and place recommendation of the user by adopting a decision tree algorithm, and obtaining a personalized charging service scheme.