49 results about "Metropolitan area" patented technology

The embodiment of the invention provides a GIS (Geographic Information System)-based metropolitan area safety video monitoring method and system. The method is applied to the technical field of image processing and comprises the following steps: acquiring a video picture of a coverage area in real time through a camera; performing real-time analysis on the video picture by using a target detection algorithm, and identifying a target in the video picture; converting the position of the target in the video picture into an actual geographic coordinate based on coordinate system conversion; continuously tracking the target in different camera coverage areas through the geographic coordinates; based on perspective transformation, converting the video image into an aerial view angle, and splicing aerial views to form a panoramic view; and visualizing the geographic coordinates of the target in the aerial view. In this way, the efficiency and accuracy of the city monitoring system can be improved, and therefore the requirement for city safety monitoring can be better met.

To solve a problem of local minor enterprises being unable to secure excellent workers due to population decline.SOLUTION: A system for providing a solution for local minor enterprises that enables as good responses and operations as in metropolitan areas, in a situation where excellent worker cannot be secured due to population decline, includes: means for supporting responses in connection with personnel recruitment; means for handling customer support (means for creating the content of e-mail, etc.), advising means in connection with the development of new products; and means for creating materials (means not only for creating text but also for using the latest template).SELECTED DRAWING: Figure 1

The invention discloses a suburban transition area range and type identification method, and relates to the technical field of city attribution, and the method comprises the steps: collecting and preprocessing multi-source city big data, and determining the characterization of different expansion modes through the multi-source city big data; the method comprises the following steps of: detecting and extracting different urban development boundaries by using a Densis-Graph threshold extraction method; identifying a city core area UCZ and a suburban transition area USTZ driven by different factors through a city development boundary detected by superposition and dislocation, and subdividing the USTZ into a planning-dominant USTZ and a market-dominant USTZ; the spatial balance of suburban transition areas is analyzed by utilizing raster data, the heterogeneity and the spatial development balance of the suburban transition areas are analyzed, and the expansion mode of metropolitan areas is defined. According to the method, USTZ recognition is independent from urban and rural transition area recognition, and on the basis of USTZ recognition, a power mechanism and spatial development balance analysis are fused, so that the defect that the existing technical scheme can only analyze a static spatial pattern but cannot dynamically analyze spatial formation and spatial evolution is overcome.

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.

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.

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.

The invention relates to the technical field of library management, in particular to a smart library management system and method based on big data, and the system comprises an association substitution analysis module which obtains a library set composed of the remaining libraries except a to-be-tested library in all libraries in a metropolitan area, obtaining a feature association value between the book borrowing feature of the library user following the official account and each library in the library set; and combined with the distance between the position of each library in the library set and the to-be-tested library, generating a to-be-tested library comprehensive association substitution value of each element in the library set for the user. According to the invention, in consideration of the condition that the operations of borrowing, returning and retrieving books by the user cannot be executed during the maintenance of the library management system, the library maintenance time is calibrated, and the libraries in the metro area are screened, so that the influence of library maintenance on the user is reduced, and the use experience of the user on the library is improved.

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.

This application discloses a transmission method for optical communication. The method is applicable to multiple scenarios exceeding 400Gbps (including 600Gbps, 800Gbps, etc.), such as metropolitan area networks, backbone networks, and data center interconnects. The method includes the steps of generating a frame including a plurality of symbols, in one polarization direction, the frame being N FAW Frame alignment word symbols, N PS pilot symbols, and N RES reserved symbols, one symbol out of every M symbols in the frame is a pilot symbol, and N FAW +N RES =M or N FAW +N RES +1=M, and each of the frame alignment word symbols and pilot symbols is one of -A-Aj, -A+Aj, A-Aj, and A+Aj, where A is a real number, and transmitting the frame.

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.

Embodiments relate to producing a plan of a route in a transportation system. The method receives route requirements, including a starting and an ending locations. The method builds a model of the transportation system from data about vehicles. The model abstracts a "prospect travel" between two locations using any of a range of choices of vehicles and walks that can transport between the two locations. Given anticipated wait durations for the vehicles and their ride durations, the method determines an expected minimum travel duration using any of these choices. The method combines the expectations for various locations in a scalable manner. As a result, a route plan that achieves a shortest expected travel duration, and meets other requirements, is computed for one of the largest metropolitan areas in existence today. Other embodiments include a computer system and a product service that implement the method.

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.

The invention provides an end-to-end series management system, which relates to the technical field of communication and comprises user equipment UE, an optical network unit ONU, an optical splitter POS, an optical line terminal OLT and metropolitan area network equipment. The OLT is connected with a metropolitan area network device through a first uplink, the metropolitan area network device is connected with a metropolitan area side network, an association relationship between the SR and the OLT is established in the SR, and an association relationship between the BRAS and the OLT is established in the BRAS; the OLT is connected with the ONU through the POS, the incidence relation between the OLT and the POS is established in the OLT, and the incidence relation between the POS and the ONU is established in the POS; the ONU is connected with the UE, and an association relationship between the ONU and the UE is established in the ONU. Therefore, the UE can perform cross-domain data acquisition, comprehensive monitoring and management of the UE, the ONU, the POS, the OLT and the metropolitan area network equipment are realized, and a user is ensured to clearly understand and control the whole link of the broadband service. When the network has a fault, a user can quickly and accurately locate the position of the fault according to the association relationship established in a cross-domain manner, so that the time for removing the fault is shortened.

The invention relates to the technical field of passenger flow monitoring, and discloses a method for prompting scenic spot passenger flow hotspots in a metropolitan area based on big data, and the method comprises the steps: determining a touring path of a user in a city according to user identification information obtained by a service platform; combining all the sightseeing paths obtained on the day by taking the day as a cycle to obtain a tourist flow diagram in the city area range; determining weights of sightseeing path points in the graph; determining the matching between the weight between the touring path points in the graph and the planned path points; and prompting the scenic spots needing attention based on the difference part of the matching result. According to the method, through a big data technology, the passenger flow dynamic state of the scenic spot is accurately analyzed based on the actual sightseeing path, the flow direction and the scenic spot weight of the tourist, so that accurate passenger flow hotspot prompt is provided for the user.

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 invention relates to a concreting method for producing a civil engineering concrete body (1), in particular a concrete pile. Said method comprises the steps of: providing a cavity (2) in the ground (3) of a construction site (20), wherein the cavity (2) is or will be created in particular by a drilling process; providing concrete (4), in particular bored pile concrete (4'), that is formed from the main components (5) of aggregates (11), binder (15) and water (16); introducing the concrete (4) into the cavity (2). The concrete (4) is fully recycled concrete and the aggregates (11) are recycled aggregates (11') and preferably consist entirely of crushed building demolition material, which is further preferably provided by the demolition of an existing building on the same construction site. The concrete (4) is preferably produced by a request signal flow (25) by means of command signals (S1, S2, S5) based on a current quantity requirement (Q) of concrete for a cavity (2). Recipes (R) are used for the production, which are made available for retrieval in a recipe database (90). Measurement data (K) and material test data (M) are determined for the produced concrete, which are fed into the recipe database (90) and assigned to the relevant recipe (R). The recipe database (90) changes the existing recipes (R) on the basis of the data received, and independently develops new recipes (R), which are in turn made available for retrieval. A mobile concrete mixing device produces a concrete on the basis of a request command (S1, S2) and obtains a recipe suitable for the requested concrete (6), in particular according to defined target material properties. The produced concrete (4) is provided and a provision command (S3, S4) is issued. The concrete (4) is introduced into a cavity in response to the provision command (S3, S4).

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.

To make up for the shortage of cemetery land caused by the concentration of population in metropolitan areas and the increase in the elderly population, we provide a joint grave that can accommodate a large number of remains on a family basis, and a resort-style joint grave for families where the remains can be interred for multiple generations of a family, regardless of whether they are the head or a branch family, and even for families without successors and single people. [Solution] The coffin sections 1 and 2 that hold the urns under the grave and the room 3 for returning the remains to the earth are integrated in the underground space under the grave, and are installed within the area where the tombstone 4 above is located. The urns are small in size to accommodate a large number of bones, and when the number of urns exceeds the storage limit, the oldest bones can be manually moved to the room for returning the remains to the earth.

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

The invention relates to a concreting method for producing a concrete structure (1) for underground construction, in particular a concrete pile. It comprises the steps of: providing a cavity (2) in the ground (3) of a construction site (20), wherein the cavity (2) is created, in particular, by a drilling process; providing concrete (4), in particular bored pile concrete (4'), which is formed from the main components (5) aggregates (11), binder (15), and water (16); and placing the concrete (4) into the cavity (2). The concrete (4) is fully recycled concrete, and the aggregates (11) are recycled aggregates (11') and preferably consist entirely of crushed building demolition material, which is further preferably provided by the demolition of an existing building on the same construction site.The concrete (4) is preferably produced by a request signal flow (25) using command signals (S1, S2, S5) based on an instantaneous quantity requirement (Q) of concrete for a cavity (2). Mixtures (R) are used for production, which are made available for retrieval in a mixture database (90). Measurement data (K) and material test data (M) are determined for the produced concrete, fed into the mixture database (90), and assigned to the relevant mixture (R). The mixture database (90) modifies the existing mixtures (R) based on the received data and automatically develops new mixtures (R), which are then made available for retrieval. A mobile concrete mixing device produces concrete based on a request command (S1, S2) and obtains a mixture suitable for the requested concrete (6), in particular according to defined target material properties.The prepared concrete (4) is made available and a provision command (S3, S4) is issued. The concrete (4) is placed into a cavity in response to the provision command (S3, S4).

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.

This application discloses a transmission method for optical communication. The method is applicable to a plurality of scenarios of over 400 Gbps (including 600 Gbps, 800 Gbps, and the like), such as a metropolitan area network, a backbone network, and data center interconnection. The method includes: generating a frame including a plurality of symbols, where in a polarization direction, the frame includes NFAW frame alignment word symbols, NPS pilot symbols, and NRES reserved symbols, one symbol in every M symbols in the frame is a pilot symbol, and NFAW + NRES = M or NFAW + NRES + 1 = M; and each of the frame alignment word symbols and the pilot symbols is one of -A-Aj, -A+Aj, A-Aj, and A+Aj, and A is a real number; and transmitting the frame. In this application, because the generated frame is not further divided into subframes, and therefore has a simple structure, and a transmission delay is low. In addition, the frame alignment word symbols, the pilot symbols, and the reserved symbols help a receiving device better restore signal quality.