30 results about "Metropolitan area" patented technology

The invention belongs to the technical field of urban planning and construction, and particularly relates to an urban circle city development and scientific and technological innovation coordination coupling level evaluation method based on multi-source data. The method mainly comprises an evaluation index system construction step, a data acquisition and preprocessing step, a comprehensive score determination step, a system coupling coordination degree calculation step and a system coupling interaction relation evaluation step. Aiming at the problem that the existing urban circle development evaluation neglects the coupling effect of scientific and technological innovation and urban development, the method comprises the following steps of: constructing an urban development and scientific and technological innovation evaluation index system, collecting multi-source data such as land utilization data and statistical yearbook data and preprocessing; and evaluating the relative development degree in the city and the development difference degree between the cities by using an entropy method and a coupling coordination degree model. The method breaks through the limitation of traditional single-dimension and single-tool evaluation, can effectively reveal the interaction rule of an urban circle'city-department and creative 'composite system, and provides a practical basis for urban circle innovation resource allocation and urban development planning.

This application discloses a decoding method applicable to multiple scenarios, including metropolitan area networks, backbone networks, and data center interconnections, to meet the needs of optical transmission. The method comprises: obtaining a syndrome corresponding to each of a plurality of codewords; grouping the obtained syndromes and prioritizing each syndrome group; and selecting a syndrome for decoding based on the priority ranking results of each syndrome group. Because this decoding method does not perform the same decoding process on every codeword, it avoids the problem of traditional static decoding schemes requiring the same number of decoding operations regardless of the correctness of the codeword itself. This method enables on-demand decoding, reducing the demand for decoding resources and power consumption.

This invention discloses a method for identifying the scope and type of suburban transition zones, relating to the field of urban demarcation technology. The method includes: collecting and preprocessing multi-source urban big data, and using this data to clearly characterize different expansion patterns; detecting and extracting different urban development boundaries using the Densi-Graph threshold extraction method; identifying the urban core zone (UCZ) and the suburban transition zone (USTZ) driven by different factors by superimposing and dislocating the detected urban development boundaries, and subdividing the USTZs into planning-driven and market-driven USTZs; and analyzing the spatial balance of suburban transition zones using raster data, analyzing their heterogeneity and spatial development balance, and clarifying the expansion pattern of metropolitan areas. This invention separates USTZ identification from urban-rural transition zone identification and, based on USTZ identification, integrates dynamic mechanism and spatial development balance analysis, addressing the shortcomings of existing technical solutions that can only analyze static spatial patterns but cannot dynamically analyze spatial formation and spatial evolution.

The invention provides an urban circle traffic demand prediction method based on a super network. The method comprises the following steps: constructing a multi-level, multi-attribute and three-dimensional interconnected super network covering highways, subways and railways in an urban circle; constructing a multimode generalized cost function based on the super network; dividing a comprehensive traffic zone, generating a passenger transport demand starting point and terminal point OD matrix, and constructing a travel mode division model considering multimode generalized cost and environmental influence; and based on the travel mode division model, traffic flow distribution is carried out by using a user balanced traffic flow distribution algorithm based on a quasi-Newton method, and a traffic flow prediction result of the urban circle is obtained. According to the method, a solution is provided for efficiently constructing a digital base of a traffic transportation industry vertical domain large model, improving the traffic mode division precision and the like, the bottleneck restricting the improvement of urban circle travel efficiency can be deeply analyzed based on the traffic demand prediction result, and policy suggestions are provided for constructing an efficient urban circle traffic transportation system.

The invention relates to a system and a method for simulating travel within a metropolitan area in order to assess the suitability of electric vehicle infrastructure. The method comprises in particular: - a step (S01) of obtaining a set of routes for a given period within the metropolitan area, using a geographic database (DGeoA) and at least one simulation parameter (ParSSim), the step delivering a set of routes (EDS); - a step (S03) of obtaining, from the set of routes (EDS) of the at least one simulation parameter (ParSSim), at least one datum representative of the suitability (DrAIR) between electric vehicle charging infrastructure (DiBH, DiBA, SCP) and an electric vehicle adoption parameter (AdVE) for executing the routes of the set of routes (EDS).

The application discloses a domain name resolution method and device, electronic equipment and a storage medium, comprising: a mirror server synchronously acquiring and storing mirror data of an IPv6 root server; a plurality of edge leaf nodes are used as exit hot standby gateways, so that the edge leaf nodes receive access requests of clients to the IPv6 root server; receiving the access request returned by the edge leaf node, and resolving the access request according to the mirror data, and returning the obtained resolution result to the edge leaf node, so that the edge leaf node returns the resolution result to the client. In this way, the deployment of the IPv6 root server mirror on the edge of the new metropolitan area cloud network can be realized, the mirror server can directly serve the edge users, which is equivalent to the function of directly accessing the global IPv6 root server, is simpler and more effective than the traditional non-real-time and step-by-step resolution recursion, and significantly improves the efficiency and response speed of the IPv6 domain name resolution.

The application provides a kind of metropolitan area transport network adaptive protection path planning method and device.The method is executed on metropolitan area transport network, and metropolitan area transport network is composed of multiple nodes.Network topology information of metropolitan area transport network is stored as graph data, and the traffic load of each service flow in the next time period is predicted based on the pre-trained traffic prediction model and the obtained historical traffic information, and the residual capacity of each link in the next time period in the metropolitan area transport network, the available time slot type and the corresponding number are estimated.The traffic prediction model uses graph convolution network to perform multi-layer feature extraction on the structure of network topology graph, constructs load balancing constraint, minimization blocking rate constraint and minimization resource consumption constraint, and generates protection path and protection time slot allocation scheme for each service flow according to the residual capacity of each link in the next time period, the available time slot type and the corresponding number, to realize more efficient fault recovery and protection path selection.

An online shared charter platform automatically extracts and utilizes commercial flight information to surface private empty-leg opportunities. The platform accesses user-associated data objects from external data platforms and identifies commercial flight bookings. A template-based parser set attempts deterministic extraction of structured flight attributes using keyword matching, regular expressions, and structured-markup queries. If validated extraction fails, a machine-learned model, guided by a structured data template specifying field types and normalized airport and timestamp formats, generates a conformant structured result. The platform stores parser-or model-based attributes as a structured commercial flight dataset. A matching engine compares the dataset to available empty leg flights using at least one of geographic clustering of airports into metropolitan areas or dual time-window constraints including departure and arrival windows, and, when a match satisfies configured criteria, transmits a notification with the available empty leg flight to the user's client device.

Vertical take-off and landing (VTOL) aircraft can provide opportunities to incorporate aerial transportation into transportation networks for cities and metropolitan areas. However, VTOL aircraft may be noisy. To accommodate this, the aircraft may utilize onboard sensors, offboard sensing, network, and predictive temporal data for noise signature mitigation. By building a composite understanding of real data offboard the aircraft, the aircraft can make adjustments to the way it is flying and verify this against a predicted noise signature (via computational methods) to reduce environmental impact. This might be realized via a change in translative speed, propeller speed, or choices in propulsor usage (e.g., a quiet propulsor vs. a high thrust, noisier propulsor). These noise mitigation actions may also be decided at the network level rather than the vehicle level to balance concerns across a city and relieve computing constraints on the aircraft.

The invention discloses a novel metropolitan area network multi-rule three-layer circuit automatic discovery method and device, and the method comprises the steps: collecting and storing the port basic data of whole network equipment; querying the ports according to a forward rule, and further filtering the ports according to a reverse rule; dividing the available ports into public network address ports and private network address ports according to address ranges to which the ports belong, grouping the public network address ports and the private network address ports, and pairing the ports in pairs in each group according to a sequence; setting the circuit direction of the two paired ports according to the attribute levels of the equipment to which the ports belong or the IP sizes of the ports, filling circuit information, and judging circuit attributes according to the name regularities of the equipment at the two ends, the alias regularities of the ports and the attributes of the equipment at the two ends; and comparing the current discovery circuit with the existing circuit according to the comparison logic of adding, modifying and deleting and the operation switch, automatically or manually confirming, storing and generating a historical record. According to the method and the device, different types of circuit scenes can be automatically processed, and the direction and the attribute of the circuit can be flexibly constructed.

The application proposes a metropolitan area or urban agglomeration substantial boundary identification method based on a multi-modal traffic network, which comprises the following steps: obtaining and preprocessing multi-source travel information data; calculating point accessibility based on improved Mahalanobis distance; calculating node accessibility based on abnormal influence factors; calculating node comprehensive accessibility; identifying the substantial boundary of the metropolitan area or urban agglomeration; and verifying the identification result based on the function polycentricity. The method designs a new point accessibility, node accessibility and node comprehensive accessibility calculation system based on emerging big data analysis technology, and proposes a simple, efficient, accurate and easy-to-understand metropolitan area or urban agglomeration substantial boundary identification method, which has a profound theoretical and practical significance for the application of related big data technology in the field of city and traffic planning and engineering.

The invention provides a multi-objective optimization method for a comprehensive passenger transport transfer system in an urban circle, and relates to the technical field of passenger transport transfer analys.The method comprises the steps that transfer structure information of the comprehensive passenger transport transfer system is connected, a hierarchical structure model is constructed and analyzed, and a fuzzy hierarchical structure sub-model and a non-fuzzy hierarchical structure sub-model are obtained; and respectively calculating the fuzzy hierarchical structure sub-model and the non-fuzzy hierarchical structure sub-model by using a fuzzy analytic hierarchy process and an analytic hierarchy process to obtain a first weight vector and a second weight vector, performing game combination weighting optimization analysis, and obtaining a combination coefficient optimal solution to score transfer structure information. The technical problems of low accuracy and reliability of the evaluation result caused by single evaluation index and strong subjectivity of the evaluation method of the comprehensive passenger transfer system in the prior art are solved. The technical effects of improving the accuracy and reliability of the evaluation result and improving the optimization effect of the urban circle comprehensive passenger transfer system are achieved.

Methods and systems for obtaining serviceable areas for a robotic system in a metropolitan area are described. A computing device obtains information about places where (i) the system can route to and from in the area and / or (ii) the system can stop in the area. The computing device uses the information to generate clusters of places where the robotic system can route or stop in the metropolitan area. The computing device creates a geometric shape for each cluster, wherein each shape which has a boundary defined by outermost places contained in the cluster. The computing device uses the geometric shapes to define the serviceable areas for the robotic system within the metropolitan area. The computing device uses the serviceable areas to generate a map displaying at least one geographic area representing a portion of the metropolitan area where a concentrated number of the places exist.

The application provides a fault detection method and device and a storage medium, relates to the technical field of communication, and is used for solving the problem of low efficiency of manual fault checking in the prior art. The method comprises the following steps: acquiring a plurality of first test information sent from a plurality of source nodes to a destination node; the plurality of source nodes are nodes in a plurality of metropolitan area networks in a first region; the destination node is a node in a second region; determining the number of abnormal test information from the plurality of first test information, and determining a fault region according to the number of abnormal test information; acquiring a plurality of second test information sent from the plurality of source nodes to the destination node corresponding to the abnormal test information; and determining the node position of a fault node according to the plurality of second test information and the fault region. The application improves the efficiency of fault detection.

The invention relates to a system and a method for simulating travel patterns in a metropolitan area to assess the suitability of electric vehicle infrastructure. The method includes, in particular: a step (S01) of obtaining a set of routes for a given period within the metropolitan area, using a geographic database (DGeoA) and at least one simulation parameter (ParSSim), yielding a set of routes (EDS); a step (S03) of obtaining, from the set of routes (EDS) of said at least one simulation parameter (ParSSim), at least one representative data point of the suitability (DrAIR) between an electric vehicle charging infrastructure (DiBH, DiBA, SCP) and an electric vehicle adoption parameter (AdVE) for the execution of routes from the set of routes (EDS). Abstract figure: Fig. 1

This invention discloses selecting a proxy IP device (Proxy-ICDAPIA) by its geographical coordinates and distance from the target web service. A method and system are disclosed, allowing users of the proxy service to specify their preferred Proxy-ICDAPIAs by geographic coordinates in the user's request. Embodiments describe the Proxy-ICDAPIA selection using Geohash areas and strings, also, selecting Proxy-ICDAPIAs from circular geographical areas specified by center coordinates X, Y and radius R. The solution serves for selecting Proxy-ICDAPIAs efficiently in cities and metropolitan areas where geographic density of web services is high, and selecting Proxy-ICDAPIAs by country / city may be not sufficient. Another problem solved when a client uses Proxy-ICDAPIAs selection by coordinates, is an inability to provide a country code. The aforementioned functionality does work without a specified country code, some countries are not included in the pool used when no parameters are provided. This solution allows creating certain length GeoHash pools, then encoding the client's provided coordinates into its own GeoHash to determine the pool (or pools) containing Proxy-ICDAPIAs that match the specified coordinates requirements.

The present invention discloses a method and system for predicting traffic demand in a metropolitan area, which belongs to the technical field of traffic data processing. The method is based on the four-stage theory to efficiently obtain the travel demand OD matrix of the central area granularity of the entire metropolitan area in the future years, so as to grasp the overall traffic demand pattern of the metropolitan area from a macro perspective; based on the travel chain theory, the method is based on accurately obtaining the travel demand OD matrix of the urban area traffic district granularity with higher temporal and spatial accuracy in the future years, which can adapt to more application scenarios and reflect traffic forecasts and evaluation analyses of traffic demand details; through the traffic allocation algorithm of motor vehicles and public transportation, the traffic flow index carried by the traffic supply facilities of the metropolitan area is obtained, so that the current and future traffic supply facilities, travel demand, road flow, public transportation passenger volume and other indicators are maintained in continuity and consistency in temporal and spatial distribution, thereby ensuring that the traffic demand forecast and evaluation index results of the metropolitan area in the future years can scientifically meet the needs of users.

The application discloses a physical layer perception dynamic resource allocation method and system for an elastic optical network, and solves the technical problems of existing schemes, such as conservative modulation selection, lack of physical layer perception, poor stability of reinforcement learning, low spectrum utilization rate and high service blocking rate. The method receives a dynamic service request, obtains a network state, generates a candidate path, extracts service, spectrum, physical layer and transmission feasibility features to construct a state vector, outputs a path-modulation joint decision through a reinforcement learning model, calculates a spectrum slot according to a modulation format, searches for a spectrum block meeting a constraint, performs QoT transmission quality verification, generates a reward according to a service establishment result, and iteratively updates model parameters through a reward centralization mechanism. The application improves the learning stability and decision accuracy of the model, realizes dynamic and flexible selection of modulation formats, fully excavates the physical layer transmission margin, improves the spectrum utilization rate and reduces the service blocking rate, and can be adapted to multiple scenes such as backbone networks, metropolitan area networks and data center interconnections.

The present application discloses a method, device, medium and product for constructing a metropolitan area traffic network topology and matching traffic based on individual-level GPS trajectory data, which relates to the field of urban transportation. First, the original GPS trajectory points are connected to form an original GPS trajectory line; then the original GPS trajectory line is evenly interrupted to form a revised GPS trajectory point; candidate intersections are identified based on the revised GPS trajectory points; directed road segments are extracted based on the candidate intersections, and then an optimized road topology network is generated and candidate directed road segments are screened out; candidate trajectory routes are generated based on the starting and ending points of the original GPS trajectory line and the candidate directed road segments; the target trajectory route and target directed road segment that best match the original GPS trajectory line are determined from the candidate trajectory routes; directional road traffic is formed based on all target trajectory routes and target directed road segments. The use of the method of the present application can improve the computational efficiency of the construction of the metropolitan area traffic network topology and traffic matching, and reduce the computing power requirements for hardware equipment.

This application relates to a metropolitan area Internet of Things (IoT) system and its security authentication method, apparatus, and storage medium. The system includes a perception layer for sensing the state of target objects and collecting data via sensor terminals, then forwarding the sensed data to an IoT gateway; a network layer for transmitting the received sensed data via a transmission network; a platform layer for parsing and forwarding the sensed data that has passed access security authentication based on a network controller; and an application layer for implementing IoT application services based on the parsed sensed data. The IoT gateway includes an access authentication module for obtaining a session key before the sensor terminal accesses the platform layer through the IoT gateway. The IoT gateway performs access security authentication on the sensor terminal at the physical layer based on the session key. This application improves the communication resource consumption of IoT security authentication methods and enhances system scalability.

This disclosure relates to a method and device for providing Ethernet Virtual Private Network (VPN) services, and a metropolitan area network (MAN). The method includes forwarding Media Access Control (MAC) addresses based on a bridging domain MAC routing table to provide VPN services. This disclosure defines a novel MAC forwarding mechanism that eliminates the need for VLAN replanning and configuration changes to the relevant OLT (Optical Line Terminal).

The embodiment of the invention discloses a data processing method and a data processing device. The data processing method and the data processing device are suitable for metropolitan area telecommunication transmission and DCI (Downlink Control Information) scenes of 800Gbps or above (including 1.2 Tbps, 1.6 Tbps and the like). Specifically, first data is obtained, the first data comprises din bits, and din is an integer greater than or equal to 1. CRC is carried out on the first data or filling bits are inserted to obtain second data comprising dscr bits, the second data comprises dCRC check bits or dPAD filling bits, both dCRC and dPAD are integers larger than or equal to 0, and dscr = din + dCRC + dPAD. And scrambling the second data to obtain third data, wherein the third data comprises dscr bits. And performing first processing on the third data to obtain fourth data, wherein the first processing comprises probability constellation shaping PCS processing, interleaving and coding. And performing second processing on the fourth data to obtain W first dual-polarization symbol streams, W being an integer greater than 1, the second processing including symbol mapping, polarization division and framing.

This invention provides a multi-objective optimization method for integrated passenger transport transfer systems in urban agglomerations, relating to the field of passenger transport transfer analysis technology. The method includes: connecting the transfer structure information of the integrated passenger transport transfer system; constructing and analyzing a hierarchical structure model to obtain fuzzy hierarchical sub-models and non-fuzzy hierarchical sub-models; using fuzzy hierarchical analysis and analytic hierarchy process (AHP) to calculate the fuzzy and non-fuzzy hierarchical sub-models respectively, obtaining a first weight vector and a second weight vector; performing game-theoretic combination weighted optimization analysis; obtaining optimal solutions with combination coefficients; and scoring the transfer structure information. This invention solves the technical problems of existing integrated passenger transport transfer system evaluation methods, which suffer from single evaluation indicators and strong subjectivity, leading to low accuracy and reliability of evaluation results. It achieves the technical effect of improving the accuracy and reliability of evaluation results and enhancing the optimization effect of integrated passenger transport transfer systems in urban agglomerations.

This application discloses a WSS (Wireless Surface Mount Switch) that can be used in backbone networks, metropolitan area networks, and data centers. The WSS includes an input port fiber array, a beam splitter grating group, an output port fiber array, and a beam deflection device group comprising two beam deflection devices and at least one wavefront modulation element, wherein at least one beam deflection device is an LCoS (Liquid CoS). The wavefront modulation element is located in the optical path between the beam splitter grating group and the beam deflection device group or integrated with the LCoS. The input port fiber array includes N ports for receiving multi-wavelength optical signals. The beam splitter grating group performs wavelength division and output of the multi-wavelength optical signals. The beam deflection device group deflects the multi-wavelength optical signals and transmits them to the beam splitter grating group. The beam splitter grating group performs wavelength division and output of the multi-wavelength optical signals to the output port fiber array. The wavefront modulation element and the LCoS jointly modulate the optical signals transmitted through N*M wavelength channels, suppressing diffraction sub-peaks generated by the LCoS, thereby suppressing diffraction sub-peaks of the deflected beam and improving isolation.

The application provides a metropolitan area resident travel feature identification method and device, the method comprising: obtaining mobile phone signaling data of each resident in a target metropolitan area; for each resident, based on the resident's mobile phone signaling data, drawing the resident's trajectory points, clustering the trajectory points to obtain a travel starting point, a travel stay point and a travel ending point; determining a metropolitan area travel result based on the travel starting point, the travel stay point and the travel ending point; determining a metropolitan area travel time based on the trajectory points and the metropolitan area travel result; determining a travel path and a travel mode based on the resident's mobile phone signaling data; determining a travel purpose based on the trajectory points, the travel starting point and the travel ending point; aggregating the above results to obtain the resident's travel feature; and aggregating the travel features of each resident in the target metropolitan area to obtain the travel features of the target metropolitan area. The application can provide an adjustment scheme for formulating a traffic facility plan and adjusting the allocation of traffic resources.

The invention provides a station-city collaborative three-dimensional perception network system and method based on multi-source heterogeneous data fusion, relates to the technical field of station-city collaboration, and aims to solve the technical problems that station-city data fusion is difficult and a collaboration state cannot be quantitatively evaluated and predicted in related technologies. The method comprises the following steps: dividing a preset station-city cooperation area into a plurality of sensing units; acquiring station domain data, and identifying a passenger flow pulse event from the station domain data; obtaining metropolitan area data, and quantifying a traffic resource potential value of each sensing unit according to the metropolitan area data; according to the total scale of the event passenger flow and the traffic resource potential value of each sensing unit, generating a predicted passenger flow demand quantity of each sensing unit in the sensing network under a plurality of future time steps, and forming a collaborative sensing state matrix by the predicted passenger flow demand quantity; and processing the collaborative perception state matrix to obtain a collaborative perception index representing the station-city collaborative area under the influence of the passenger flow pulse event.

The invention provides a hard partition implementation method and device of a point-to-multipoint network communication structure, and relates to the technical field of networks. The method comprises: according to an application scene demand of a target service, determining a network topology structure of the target service, and based on the network topology structure, determining transmission paths of the target service and a plurality of receiving devices, the network topology structure being a point-to-multipoint network communication architecture based on a fine-grained metropolitan area transmission network; and respectively configuring a multicast transmission protocol, a virtual local area network, a virtual routing forwarding instance and a bandwidth allocation strategy for each transmission path in sequence, and configuring an encryption protocol for each configured transmission path to realize data transmission between the target service and the plurality of receiving devices. According to the invention, the data transmission efficiency and reliability can be improved.

This invention relates to a method for constructing a multi-scale collaborative sustainable ecological network, comprising the following steps: identifying urban ecological source areas based on land use type MSPA analysis and landscape connectivity tests, and collecting and preprocessing basic data; extracting urban ecological source areas within the metropolitan area as two-scale ecological superposition source areas, and extracting secondary ecological source areas of the metropolitan area through ecological patch importance evaluation; selecting and assigning resistance factors for different scales to construct a hierarchical ecological resistance surface; simulating ecological corridors based on the resistance surface using minimum cost path and circuit theory at the urban and metropolitan scales to construct an urban-metropolitan ecological network system; determining the protection scope of ecological corridors and source areas, and identifying ecological pinch points and ecological barrier points on the ecological corridors for key protection and restoration; and systematically optimizing the green space ecological network at the central urban area scale based on the urban-metropolitan ecological network system to ultimately form a multi-scale collaborative sustainable ecological network system.

The invention discloses an urban area express line distribution optimization method based on operation organization requirements, and belongs to the technical field of rail transit. Comprising the following steps: S1, based on a large and small intersection and fast and slow vehicle combination mode, limiting the number of intersection layers into two layers, providing a combination operation strategy of fast and slow vehicles of a large intersection and slow vehicles of a small intersection, and optimizing an overpass line and turning line configuration scheme; and S2, measuring the influence of the wiring design and operation scheme on the passengers based on the construction operation cost and the generalized travel cost of the passengers. And S3, a bilevel planning model is established based on S1 and S2, a bilevel planning framework comprising an upper layer model and a lower layer model is constructed with the positions and forms of the overpass line and the turn-back line as decision variables, the upper layer model takes the lowest construction and operation cost as a target function, and the lower layer model takes the lowest passenger generalized travel cost as a target function. And S4, optimizing line wiring configuration by adopting a hybrid particle swarm optimization algorithm, solving a periodic event plan by combining an iterative approximation algorithm and CPLEX, and solving an optimal solution through a collaborative feedback mechanism. According to the method, the problem of collaborative optimization of the generalized travel cost and the operation construction cost of urban express line passengers is solved.

Vertical take-off and landing (VTOL) aircraft can provide opportunities to incorporate aerial transportation into transportation networks for cities and metropolitan areas. However, VTOL aircraft can be sensitive to uneven weight distributions, e.g., the payload of an aircraft is primarily loaded in the front, back, left, or right. When the aircraft is loaded unevenly, the center of mass of the aircraft may shift substantially enough to negatively impact performance of the aircraft. Thus, in turn, there is an opportunity that the VTOL may be loaded unevenly if seating, luggage placement, and / or positions of internal components are not coordinated. This application describes systems and methods for dynamically assigning payloads and adjusting components of the VTOL aircraft.