89 results about "Urban network" patented technology

The invention relates to an online evaluation approach to evaluate the maximum power supply capacity of urban power network, belonging to the technical field of advanced application of electric power system dispatching. The method employs data base connection modes(ADO and ODBC), reads the relative network topology and network nodes in EMS and analyses the topology of the urban power network by means of an adjacency matrix to build up a model for calculating the maximum power supply capacity of the urban power network; the model is a linear programming model based on DC power flow and takes the maximum load of the network as the target function, and power balance, rated capacities of the branch lines and power restriction of the nodes as the constraint condition. In the program, the linear programming is worked out through improved simplex method and error analysis is carried out to the result. The model has the advantages of big calculation speed and small calculation error as for light load network and is suitable for power networks that require repeated optimization and adjustment. Results from a great amount of calculation with the program show that the method is of efficacy and applicability.

The invention discloses an urban road network dynamic traffic jam prediction method based on floating vehicle data. The urban road network dynamic traffic jam prediction method based on the floating vehicle data includes the following steps that first, a road section jam state discrimination index is determined; second, the floating vehicle data are converted into traffic flow parameters; third, the road section traffic flow state is judged; fourth, the dynamic traffic capacity C1 of a target road section 1 is predicted; fifth, the dynamic traffic demand D1 of the target road section 1 is predicted; sixth, the jam probability, the jam (if happening) degree LOC and the jam formation time of the target road section 1 are predicted. The urban road network dynamic traffic jam prediction method based on the floating vehicle data is a method for predicting dynamic traffic jams of an urban road network, provides a decision making basis for urban traffic management and control measures and has practical promotional value.

The invention discloses a method for predicting multi-period travel time distribution based on floating vehicle data. According to the method, on the basis of a traditional KNN algorithm and through the adoption of the learning ability of a Bayesian model, the robustness and accuracy of travel time predicting are improved; through the effective fusion of history data and real-time data, the travel time average and variance prediction of the continuous multiple time ranges are achieved, and the confidence interval of the travel time floating is built. Compared with a traditional KNN model, the travel time distribution information for half an hour can be predicted effectively in various complex city networks, the result is more reliable and precise.

The invention relates to a comprehensive evaluation method for coordination of power supply capacity of an urban power transmission and distribution network. The method comprises the following steps of: (1) building an evaluation index system for the power supply capacity of the urban power network based on coordination of transmission and distribution, wherein the evaluation index system comprises a power network margin evaluation index, a structure evaluation index, a matching evaluation index and an operation evaluation index; (2) establishing evaluation characteristic functions of all the indexes in the evaluation index system for the power supply capacity of the urban power network; and (3) building a comprehensive evaluation mathematical model of the power supply capacity of the urban power network based on coordination of transmission and distribution. The invention provides the index system which is completely suitable for evaluating the power supply capacity of the urban power network by using an idea of coordinating the power transmission and distribution network, and provides an evaluation index calculation model, an evaluation characteristic function theory expression and a comprehensive evaluation algorithm model by aiming at the evaluation indexes. According to the comprehensive evaluation method, the safety and reliability of the urban network are ensured, and a network structure is optimized so as to optimize the power network investment structure, so that the comprehensive evaluation method has great realistic significance for improving the economic benefit and the social benefit of enterprises.

The invention discloses a set of management and maintenance system for monitoring clusters of urban major transportation infrastructures. The system comprises an online monitoring module, a data analyzing and processing module, an early warning evaluation module, a decision support module and a monitoring system controlling, managing and maintaining module. The modules of the system take a system cluster management platform as a center, take a server as a background data base and build communication and contact through an urban network in a man-machine interaction mode. The set of management and maintenance system combines a set of management and maintenance technologies and a full-service-life concept, provides a novel solving scheme for research of informationalization of public and safe urban infrastructures, combines a hardware layer and a software layer and provides a theoretical and experimental basis for analysis and research of typical transportation infrastructures.

The invention discloses an epidemic situation prediction method based on population migration, and relates to the technical field of epidemic situation prediction. The method comprises the following steps: obtaining epidemic situation data and population migration data; constructing a composite city network model of a to-be-predicted area according to the epidemic situation data and the populationmigration data; calculating the epidemic situation data through a composite city network model to obtain infected crowd data of a to-be-predicted city in the future K days; and obtaining K epidemic situation thermodynamic diagrams based on the preset epidemic situation interval and the infection crowd data of the to-be-predicted city in the future K days. The hierarchical complex kinetic model obtained by the method considers the influence of population migration conditions on epidemic situation development during large-scale people flow activities such as spring transportation, so the methodrealizes accurate prediction of future epidemic situation data under the condition of large-scale people flow activities, can visually check the epidemic situation development conditions, and is usedas a reference for adopting epidemic situation prevention and control means. The invention further discloses an epidemic situation prediction device based on population migration, electronic equipment and a computer storage medium.

The invention provides a city operation management center system. The system includes: a city data opening and information service sub-system, which uniformly fuses and encapsulates user information resources; a city coordination processing and linkage command sub-system, which deeply mines business relationships between various departments, and establishes a complete coordination processing system of daily city running of and a linkage command system of emergency treatment; a cyberspace comprehensive-governance sub-system, which caries out comprehensive network security supervision on city key-information infrastructure running status, and realizes system response to a unified situation of city cyberspace security; city running simulation and overall-planning sub-system, which provides knowledge and intelligence support with data as drives for city development planning, major-affair decision-making and major-event treatment decision-making; and a city running display and monitoring and early-warning sub-system, which displays basic information of realizing city governance, provides key sign information of city running, and carries out macroscopic display and early-warning analysison city running status.

The invention discloses an urban network traffic flow simulation model based on lane group and intersection vehicle stream path lane group and intersection vehicle stream. The model is based on a lane group-based macroscopic traffic flow model, and a lane group vehicle stream shifting-in process in the model is simplified; according to the deficiencies of the traffic operation description simulation of the traffic impediment of an intersection caused by the overflow of traffic flow of the intersection of a lane group-based macroscopic traffic flow model, the concept of an in-intersection vehicle stream path is put forward according to a principle that a traffic flow shifts in and shifts out from a lane group; a traffic flow shift-in and shift-out process on the in-intersection vehicle stream path is adopted to simulate all possible vehicle stream release conflict impediment conditions in the intersection; and the lane group and intersection vehicle stream path-based traffic flow macroscopic simulation model is built. With the model of the invention adopted, the defect of complex parameter calibration and coefficient calculation of an existing model can be eliminated, and quick simulation method support can be provided for urban traffic jam active prevention and control and fast dredging.

The invention provides a framework and engineering system for a city operation center. The framework comprises a city data open and information service subsystem, a city coprocessing and linkage command subsystem, a network space comprehensive treatment subsystem, a city operation simulation and overall planning subsystem and a city operation revealing and monitoring early warning subsystem, wherein the city data open and information service subsystem carries out uniform fusion and packaging on user information resources; the city coprocessing and linkage command subsystem deeply mines a business relationship among departments and establishes an integral coprocessing system for city daily operation, and a linkage command system for disposing an emergency; the network space comprehensive treatment subsystem carries out integrated supervision on the network safety of a city key information infrastructure operation situation, and realizes the uniform situation and the system response of city network space safety; the city operation simulation and overall planning subsystem provides data-driven knowledge information support for city development planning, major affair decision and majorevent disposal decision; and the city operation revealing and monitoring early warning subsystem shows and realizes basic information for governing cities, provides the key sign information of the city operation and carries out macroscopic display and early warning analysis on the city operation situation.

The invention discloses an urban road network shortest path acquisition method based on directivity induction. The method comprises the following steps: 1, constructing an urban network according to real-time road condition information; 2, introducing a boundary internal intersection set Un, a boundary external intersection set travel time upper bound and a travel time lower bound T; 3, updating the set Un and the set Un-; 4, obtaining the shortest travel time and a path from a starting point intersection to a destination point intersection through a label correction method; and 5, if the travel time from the starting point to the destination point is equal to T or the set Un is not updated any more, ending to obtain the shortest path, otherwise, updating T, and going to the step 3. Directional induction is added into navigation of an urban road network, and a search range is effectively reduced so that the navigation efficiency can be improved, and a more humanized and efficient driving path is provided for a driver.

The invention relates to a circulation monitoring data management relay of an urban network cable. The circulation monitoring data management relay is characterized in that a solar power supply is connected to a CPU (central processing unit); a microprocessor adopts an ATmega64 single chip; a watchdog adopts X5043; an LED (light emitting diode) display circuit adopts an MAX7219; a radio communication unit is connected with the CPU; a GSM / GPRS (global system of mobile communication / general packet radio service) communication unit transmits the data to a remote computer system; an RS-485 bus is connected with the CPU; the data of a collecting device can be wirelessly received to manage and store in a sorting manner at a near distance; the data can be transmitted to a distant place through a GSM / GPRS network, and the scattered data can be intensively processed and remotely transmitted to a computer analysis management system to carry out remote data monitoring and comprehensive analysis. Therefore, field collection data can be received in a time-sharing manner or real time, and can be managed in the sorting manner, and data relay transmission can be effectively carried out no matter the size of a monitoring counter range.

The invention relates to the technical field of optical cables and relates to a triangular cross section drop optical cable and a manufacturing method thereof. An outer sheath layer with an equilaterally triangular cross section coats three fiber units and a reinforcing assembly formed by a central reinforcing member and a central reinforcing member cushion layer to form the triangular cross section drop cable, wherein the central reinforcing member is placed at the midpoint of the equilateral triangle, the three fiber units are rotationally symmetric outside the central reinforcing member cushion layer and are arranged on three center lines of the triangle respectively, the outer sheath layer is provided with acute-angled separation grooves on both sides of each fiber unit, and the angular bisector of each separation groove points to the fiber. The triangular cross section drop optical cable is increased by 50% in fiber density and prevents repeated construction. The central reinforcing member cushion layer uses a foaming process. The central reinforcing member uses a high-flexible aramid fiber rod so as to decrease 30% unit weight. The optical cable is good in bending performance, reduces construction cost and construction difficulty. A tight sleeve layer uses nylon material to improve the anti-pressure ability of the branched fiber. The optical cable is suitable for urban networks and access networks.

The invention relates to a circulation monitoring data collecting device of an urban network cable. The circulation monitoring data collecting device mainly consists of an open-type current transformer, a communication module, a forward channel signal arranging unit, and a CPU (central processing unit) data collecting and processing unit. The circulation monitoring data collecting device is characterized in that the open-type current transformer is arranged in an open manner and is on an outgoing line of a cable sheath; the open-type current transformer is connected with the forward channel signal arranging unit; the forward channel signal arranging unit comprises a protective circuit, an isolating operational amplifier and a voltage compensation circuit; the forward channel signal arranging unit is connected with the CPU data collecting and processing unit, and the CPU data collecting and processing unit is connected with the communication module. The data of grounding induced circulation of the open-type current transformer of each cable is received; the data of the grounding induced circulation of the open-type current transformer of each cable is collected and transmitted to a microprocessor; the communication module is controlled to transmit an alarm message to a host computer when the situation that the grounding induced circulation exceeds the set grounding induced circulation limit value is found out, and various commands of the host computer are responded by wireless communication. Therefore, the system maintainability is simple, and the data is effectively collected to detect and judge a cable state.

The invention relates to the technical field of electric energy quality devices, and particularly relates to a system and a method for managing the comprehensive electric energy quality of a rural urban network substation. The system comprises a plurality of distribution transformer substation area parameter acquisition modules used for collecting the operation parameters of power distribution equipment and the environment parameters of the distribution transformer substation area; a distribution transformer substation area parameter judgment module used for judging whether the received operation parameters of the power distribution equipment and the environment parameters of the distribution transformer substation area exceed a preset parameter threshold value or not respectively, and sending a judgment result to a distribution transformer substation area early-warning information editing module if the parameters are judged to exceed the preset parameter threshold value; and the distribution transformer substation area early-warning information editing module used for editing the distribution transformer substation area early-warning information according to the received judgmentresult, and sending the information to a distribution transformer substation area automatic repair module, a distribution transformer substation area early-warning information database and a terminalrespectively in real time. According to the invention, the intelligent integrated management of the distribution transformer substation and the economic operation of a distribution transformer are achieved. The manual labor amount and the labor cost are saved. The good economic benefit is achieved.

The invention discloses an urban road network shortest path acquisition method based on angle limitation and bidirectional search. The method comprises the following steps: 1, constructing an urban network according to real-time road condition information; 2, introducing a forward search boundary internal and external intersection set UnF, a backward search boundary internal and external intersection set UnB, a bidirectional boundary intersection set Mn and travel time upper and lower bounds T; 3, updating the intersection sets UnF and UnB inside and outside the forward and backward search boundaries of the sets; 4, obtaining the shortest path from the starting point to the destination point through the intersections in the intersection set Mn of the bidirectional boundaries by a label correction method; and 5, if the travel time of the shortest path is equal to the lower bound T of the travel time or the intersection set UnF and UnB in the forward and backward search boundaries are not updated any more, acquiring the shortest path, or otherwise, returning to the step 3. According to the method, angle limitation and bidirectional search are added in navigation of the urban road network, so that the search range is effectively narrowed; therefore, the navigation efficiency is improved, and a faster and more efficient driving path can be provided.

The invention discloses a voice control method, a system thereof, a cloud server and a voice device. The method includes the following steps: acquiring voice information of a user and / or status information of an external device communicatively connected with a local device; obtaining a control policy according to the voice information and / or the status information, wherein the control policy includes a control instruction and external device information; and sending the control instruction to the external device corresponding to the external device information so that the external device corresponding to the external device information responds to the control instruction. The voice control method realizes unified management of each voice device and external device in the urban network, sothat various external devices in the urban network form a whole network with the voice device as a node, and a control mode of the external device is intelligent.

The invention discloses a middle moment sensing control system based on a wireless Internet of vehicles. The middle moment sensing control system comprises a central control unit, an assisted power sensing unit, a middle motor driving unit, an intelligent control terminal unit and a wireless Internet of vehicles information transmission unit, wherein both the assisted power sensing unit and the intelligent control terminal unit are connected with the central control unit and are used for transmitting motor control information to the central control unit; the central control unit is used for controlling output power of the middle motor driving unit through the received motor control information; and the wireless Internet of vehicles information transmission unit is in serial port communication connection with the central control unit and is used for sending collected data to the central control unit to carry out information exchange. According to the middle moment sensing control system based on the wireless Internet of vehicles, the technique of the wireless Internet of vehicles is applied to electric bicycles, the interactive communication is realized between the vehicles and the vehicles, the vehicles and pedestrians as well as the vehicles and urban networks, and a user can beneficially carry out real-time monitoring on the information such as parameters and fault diagnosis in a vehicle operating process.

The method comprises the following steps: firstly, constructing a Manhattan city network, randomly setting a long-range connection edge, and setting a traffic signal lamp by adopting a single-port clockwise timing release rule; then, updating the vehicle state by adopting an updating rule based on a NaSch model, and setting different vehicle maximum driving speeds for the Manhattan city network and the long-range connection edge; secondly, randomly selecting a starting point and an ending point of the vehicle, and setting the vehicle to run according to the shortest path; and finally, settingthe particle density and the total number of particles, initializing a system, and simulating the road network traffic flow characteristics by adopting a parallel updating rule. According to the method, a road section model, an intersection model and a road network model of road network traffic flow characteristics are comprehensively considered; meanwhile, long-range connection edges, vehicle ODattributes and shortest path driving rules are set, different vehicle maximum driving speeds are set for the long-range connection edges and the Manhattan urban network, and the actual characteristicsof vehicles and the multi-layer performance of the urban road network are better simulated.

The invention relates to an urban road network traffic estimation method and system. With regard to the problem of coverage insufficiency of probe vehicle data on an urban road network, non-linear modeling is performed on urban road traffic correlation according to historical and real-time probe vehicle data, and real-time traffic speed estimation on all roads of the urban road network is achievedby parallel graph calculation. By the method and the system, the traffic estimation parallelism can be greatly improved, the calculation efficiency and the communication efficiency among calculationnodes are improved, near-real-time traffic estimation of the large-scale urban road network is achieved, and the method and the system have better practical application value.

The invention relates to the technical field of communication machine room heat dissipation. The invention further discloses a heat dissipation device of an urban network communication machine room. The heat dissipation device comprises a machine body. The outer side wall, close to the bottom, of the machine body is fixedly connected with a filter cartridge with a cylindrical structure through a plurality of cross rods. An air guide pipe is fixedly communicated between the filter cartridge and the machine body. A dust filter screen and an activated carbon adsorption screen which are matched are fixedly mounted in the filter cartridge in sequence from bottom to top. A dust removal mechanism corresponding to the dust filter screen is mounted on the filter cartridge. A water storage tank is arranged above the filter cartridge, and the water storage tank is fixedly connected with the outer side wall of the machine body. A spiral copper pipe is fixedly installed in the water storage tank, the bottom end of the spiral copper pipe fixedly communicates with a connecting pipe, and the other end of the connecting pipe penetrates through the bottom of the water storage tank in a sealing modeand is fixedly communicated with the side wall, close to the top end, of the filter cartridge. The heat dissipation efficiency of the urban network communication machine room is effectively ensured, the use of an air conditioning unit is avoided, and the energy consumption is effectively reduced.

The present invention relates to an automatic driving vehicle and an operating method. The autonomous driving vehicle is characterized by comprising a vehicle body, an automatic driving system, a driving power supply system, a smart track and an urban network interconnection central control dispatching system. The vehicle body is only provided with a passenger compartment and wheels. The passenger compartment is provided with a single-row seat for a single passenger or a double-row seat for two passengers, the automatic driving system is realized by cooperation of a radar, a camera, a sensor and an on-board computer. The smart track is embedded under the urban road, the driving route of a vehicle is set by the urban network interconnection central control dispatching system along the smart track, and the driving power supply system is for non-contact power supply and provides power to the vehicle through an electromagnetic induction contactless power supply device under the road. The automatic driving vehicle does not require a driver, and is only provided with the passenger compartment with the one-passenger seat or the two-passenger seat. According to the number of passengers traveling by car, there is no empty load. The small vehicle model reduces the road occupation and improves the transportation capacity of urban roads.

The invention discloses an establishment method for an urban three-dimensional visualization underground pipeline system based on Cesium, and relates to the field of virtual three-dimensional pipelines. The method comprises the following steps: S001, acquiring above-ground and underground data information of an urban building group by using a GIS technology, and perfecting an urban geomorphological database; S002, using a GPS system and a pipeline positioning system to complete data collection of pipeline under construction and pipeline to be constructed, and perfecting an underground pipelinenetwork database; S003, using a remote sensing image technology and a DEM technology, combined with the urban geomorphological database and the underground pipeline network database, to generate 2.5-dimensional topographic landscape map data. The method provides convenience for people to maintain underground pipelines and future urban layout by collecting urban geography and geomorphology information and urban network management data information, and the remote sensing image technology, the DEM technology and the Cesium are used to build an urban three-dimensional model and an underground pipeline network model.

The invention relates to a method for efficiently overcoming an automation defect of an urban network distribution network. The method specifically comprises the following steps that 1, a main stationinitiates a defect; 2, a sub station registers the defect, and generates different types of defects; 3, a defect hanlding maintenance staff receives an order, and distribution automation defect information is sent to the corresponding operation and maintenance personnel in any one selected from a login system query mode, an information release mode, a mobile APP mode and a short message mode so as to facilitate the operation and maintenance personnel to receive and process the information in time; and 4, after defect handling, application for verification is carried out on a system, a specialone of the sub station completes an online defect handling process according to the handling condition of the maintenance staff. Thus, via the method, the equipment operation state can be known in real time and thus, the equipment is in an economic operation state, the service life of the equipment is greatly prolonged, and equipment investment is effectively delayed.

The invention discloses an urban pipe network supervision method based on big data, and the method comprises the steps: carrying out the grid type division of an urban region, obtaining a grid type urban network management network, and classifying a conventional pipe network detection point into a grid unit at a corresponding position; respectively carrying out big data analysis on the uploaded detection information of the corresponding grid units according to different grid modules in the urban pipe network model to obtain a monitoring result of each grid unit; displaying the monitoring result on a large monitoring screen with grid display; and transmitting the monitoring result to the corresponding management extension set according to the position of the grid unit. The urban pipe network state is remotely monitored in real time, the urban pipe network state can be intelligently and effectively supervised, the detection accuracy and the detection efficiency can be improved, the supervision efficiency is improved, and safe and reliable operation of the pipe network is guaranteed.

The invention is suitable for the technical field of urban network planning, and provides an extension planning method and device for an active power distribution system, and terminal equipment, the method comprises the steps: building a power distribution network double-layer optimization model and an interruptible load response model of a user side, wherein the power distribution network double-layer optimization model comprises a network frame planning layer model and an operation scheduling layer model; randomly encoding the to-be-extended route in the target planning area according to theconstruction state to generate a first population; performing random coding on the basis of the first population according to a target interrupt load proportion to generate a second population; and solving the optimal particles in the first population and the second population in combination with an interruptible load response model, and determining an optimal grid planning scheme and a corresponding optimal operation scheduling scheme. Through the active power distribution system extension planning method provided by the invention, the solution of the optimal extension planning scheme of theactive power distribution system considering the load demand response capability of the user side in a scene with intermittent new energy access can be realized.

The invention relates to a transformer bias magnet current calculation method based on a subway near-area earth and power grid model, which comprises the following steps: calculating the magnitude of stray current through a resistance network model, then analyzing the change of surrounding ground potential caused by the stray current based on an earth resistivity model, and finally establishing an urban power grid 220kV transformer network topology model to obtain the relationship that the transformer neutral point current changes along with time. The invention provides a calculation method for quantitatively calculating the magnetic bias current of the 220kV transformer in a power grid near a subway line for researching the correlation between the stray current of the subway and the bias magnetic current of the 220kV transformer of the urban power grid, and the method is beneficial to analyzing the influence of the stray current of the subway on the transformer. The defects of a model and a method for calculating the magnetic bias current of the 220kV transformer of the urban network near the subway line in the prior art are overcome.

The embodiment of the invention discloses a VLAN (Virtual Local Area Network) division method and system for an urban network target range, and the method comprises the steps: building a VLAN divisionsystem through a VLAN controller, a plurality of network cards and a plurality of switches, and enabling the plurality of network cards and the plurality of switches to be arranged in a one-to-one correspondence manner; and adopting the VLAN controller to distribute a plurality of virtual local area network identity label VLAN IDs to the plurality of switches through the plurality of network cards, and correspondingly establishing a routing table. According to the invention, the problem that the VLAN ID is not enough to use in large-scale city target range construction can be solved.

The invention provides a smart city network traffic prediction method and system. The method comprises the following steps: preprocessing original sequential network traffic data based on a Kalman filter; based on a time sequence convolutional network, obtaining a target feature sequence of the preprocessed original time sequence network flow data; and inputting the target feature sequence into an LSTM network to obtain a prediction result of the original time sequence network flow data. The system executes the method. According to the invention, the Kalman filter, the TCN and the LSTM network are cooperatively combined together, noise existing in original sequential network flow data is eliminated by determining the Kalman filter, interference of the noise is reduced, high-precision prediction is achieved; then potential features are extracted from the data by adopting the TCN, and finally, the LSTM is adopted to predict the original time sequence network flow data.

It is energy economical, low in cost, high in energy storage, adjustable in output power, and directly linking with urban network. It comprises the water pool for cooling and recovering heat from the fly wheel energy storage sub systems, with several energy storage system's permanent DC generator power sum big or equal to the required recovery or reproduction demanded power for the traction of vehicles, and they use overlap mode to directly connect with the urban DC network, air pressure inside the shell equal or lower than 10-4Pa and the limit rotation speed higher than 150000 rpm of the fly wheel, with the bearing using magnetic bearing.