29 results about "Current city" patented technology

The invention discloses an urban construction industrial carbon reduction path optimization and determination system, medium and equipment, and the system is characterized in that a model composed of an industrial carbon reduction object evaluation index obtaining module, an industrial carbon reduction object typing module, an industrial carbon reduction technology path generation module and a carbon reduction technology path optimization module is established; a comprehensive evaluation function is constructed for the industry of the city construction boundary range class through a genetic algorithm and the city based on the development characteristics of the city, so that the optimal carbon reduction technology path under each industry type is obtained, and finally, the economical efficiency and carbon reduction performance comprehensive optimal carbon reduction technology path in the low-carbon city construction industry field is formed. The path can fully reflect the advantages and characteristics of urban low-carbon development and the carbon reduction target, the carbon reduction target of the city can be achieved conveniently, the problem that the industrial carbon reduction path is unknown in the current urban construction process is effectively solved, and the urban construction industrial carbon reduction path conforming to the urban development policy is provided while the urban economic development is guaranteed.

The invention provides a service exception fusing method and device, electronic equipment and a medium, and relates to the technical field of communication. In the business operation process, if a service request of a certain city is abnormal and meets a fusing condition, a server subsequently receives an SaaS service request of the current city, directly refuses to process the corresponding SaaS service request and returns an error exception, so that the service exception can be effectively prevented from being processed. And after the fusing duration is reached, new SaaS service request entry of the corresponding city is recovered again, and business processing is recovered. According to the method and the device, the abnormal city can be independently fused, so that the purpose of protecting the whole service link is achieved; through independent processing of single city service, other cities are ensured not to be influenced, so that the whole service link business can be ensured to be normally carried out.

The invention relates to the technical field of AI analysis, and discloses a smart city evaluation method and system based on AI analysis, and the method comprises the steps: carrying out the intelligent analysis of city information, and generating the feature data of the current situation of a city; a group perception feedback mechanism is used as fitness, and optimized city feature data is generated through a long-acting adaptability optimization process; and comparing the optimized city feature data with the city current situation feature data, and analyzing the difference before and after optimization, thereby obtaining an evaluation result of the smart city. The city health condition is quantified by comparing the city current situation with the predicted ideal optimization state, and the improvement direction is defined and the resource allocation is optimized by identifying the key gap; and meanwhile, dynamic evaluation and trend prediction are supported. The city improvement potential is visually displayed, the trust and satisfaction of residents on city management are improved, and more efficient smart city management is realized.

The invention relates to the technical field of data analysis, and particularly discloses an urban safety performance dynamic evaluation and early warning system based on multi-source real-time data fusion, comprising: a data processing module performing feature extraction on a multi-source real-time data pool to obtain a standardized spatial-temporal feature data set; the weight strengthening module strengthens the weight of the scene sensitive index in the urban safety performance index system to obtain the dynamic strengthening weight of the urban safety performance index system; the performance scoring module is used for calculating a dynamic safety performance score based on the dynamic strengthening weight of the urban safety performance index system; the conduction analysis module analyzes the multi-index linkage risk, obtains the risk conduction probability among all the indexes, and generates a dynamic risk thermodynamic diagram based on the risk conduction probability among all the indexes; the grading early warning module fuses the dynamic safety performance score and the dynamic risk thermodynamic diagram to obtain a current city safety performance evaluation value, and triggers an early warning response in combination with a grading early warning mechanism; and comprehensive, accurate and timely urban safety assessment and early warning are realized.

The present invention provides a city data storage method and system based on blockchain, which relates to the technical field of data storage. The method comprises: a city node collects credit behavior data of a target user in a current city; the city node adds a credit label to the target user according to the credit behavior data; the city node broadcasts a content identifier of a data packet to a blockchain; when the current city node inquires about the credit of the target user, it initiates a query request to a target city node in a different place that contains the credit behavior data of the target user; the current city node searches for a smart contract according to a transaction ID and a content identifier position, and retrieves the content identifier; the current city node downloads a data packet from a data storage system according to the content identifier; the current city node decrypts the data packet by a key; and determines the comprehensive credit of the target user according to the credit label of each city node for the target user and a city credit score ranking table of each city node.

The embodiments of the present application disclose a method, device, medium and electronic device for deduplication identification of urban cases. The method includes: obtaining the current content identification result of the current urban case; the content identification result is obtained based on the identification of at least one information dimension by intelligent identification technology; reading the historical content identification results from the similarity reference library for comparison, if there is a target content identification result with a similarity greater than a set threshold with the current content identification result, then determining that the current urban case and the target urban case corresponding to the target content identification result are duplicate cases; merging the current urban case and the target urban case. This technical solution can solve the defect of the smart urban management platform in the prior art that relies on manual deduplication, realize the automated operation mechanism of case content identification and case deduplication process, improve the efficiency of daily case handling in the city, and thus improve the operation efficiency of the city.

The present invention discloses a method, device, equipment and storage medium for processing multidimensional data of urban vital signs monitoring. The method collects urban vital signs data of different dimensions of the current city to construct a preset weight matrix; performs hierarchical calculation on the urban vital signs data according to the preset weight matrix to obtain hierarchical calculation results; analyzes the hierarchical calculation results to obtain a comprehensive score of urban vital signs monitoring of the current city. The method can meet the data processing requirements of a complex urban vital signs monitoring system, improve the accuracy of evaluating the impact of indicators at each level on the overall urban vital signs, comprehensively consider the multi-dimensional perspectives of the overall urban vital signs, comprehensively reflect the overall state of urban operation, effectively process complex, multi-level and multi-field urban vital signs data, provide strong support for urban management decision-making, and improve the speed and efficiency of multi-dimensional data processing of urban vital signs monitoring.

The application discloses a kind of alarm event processing method and device.Therein, the method includes: for each monitoring video of the camera collection for city management, extract the multiple frames of monitoring image in the video and determine multiple rule-breaking objects in the video;For each rule-breaking object, generate its corresponding alarm event and determine the duration state of the event, generate the law enforcement evidence of the event according to the multiple frames of monitoring image corresponding to the rule-breaking object, generate the evidence identifier of the law enforcement evidence according to the camera identifier corresponding to the monitoring video, the rule-breaking event type of the rule-breaking object, the feature vector of the rule-breaking object in the monitoring image;According to the evidence identifier, the alarm event and the law enforcement evidence of the same rule-breaking object of the same rule-breaking event type under different cameras are merged;According to the duration state of the merged alarm event, the alarm event is processed.The application solves the technical problem that the overall efficiency is low in the current city management scene, which needs to collect alarm event rule-breaking evidence manually and then process.

The invention discloses a sponge city intelligent monitoring system and method, and relates to the technical field of city monitoring, and the method comprises the steps: collecting weather data and city operation data through a sensor, and carrying out the preprocessing; constructing an intelligent decision algorithm model based on the weather data and analyzing urban operation data; formulating an optimal drainage strategy according to the analysis result; and analyzing current city operation data in real time, and automatically adjusting parameters of the intelligent decision algorithm model. According to the invention, real-time and comprehensive ponding condition monitoring and intelligent decision making are realized, the occurrence frequency and severity of urban inland inundation can be effectively reduced, urban road and low-lying land ponding can be timely discharged, the travel safety of citizens and normal operation of urban infrastructures are ensured, and continuous urban operation data monitoring and dynamic adjustment of an intelligent decision making model are realized. And a city has stronger adaptive capacity when facing various emergencies or long-term climate changes.

The application belongs to the technical field of city planning, and provides a city planning application method based on grid management, which comprises the following steps: obtaining current city management data, dividing a target management area into multiple basic management grids; presetting a reserved virtual sub-grid that can be dynamically enabled for each basic management grid through modular design, wherein the reserved virtual sub-grid is in an inactivated state in an initial state and has self-configuration and adjustment capabilities; continuously monitoring dynamic operation data of each basic management grid, analyzing a current data mode by using a decision tree model, and generating a grid adjustment trigger signal. Through dynamic monitoring and the design of the elastic reserved virtual sub-grid, the division and management of the grid are more flexible, the city changes can be responded in a timely manner, and the management efficiency and adaptability are improved.

The present invention relates to the technical field of data processing, and specifically discloses a comprehensive evaluation method for the sustainability of urban development, comprising setting a monitoring period and obtaining monitoring values ​​of monitoring items related to urban development within the monitoring period, and generating a pollution coefficient of the city based on the monitoring values; setting a judgment interval, and comparing the pollution coefficient with the judgment interval to obtain a judgment result; and generating an evaluation result based on the judgment result. The present invention provides a comprehensive evaluation method and steps, and makes a preliminary evaluation of the development status of the city through the pollution coefficient, so as to judge whether the current city can continue to develop industries with pollution overflow in most cases, and provide basic evaluation and guidance for the development of the current city. In addition, the judgment interval not only reflects the current monitoring period, but also takes into account the situation of meeting the development needs of the main city in the next period, thereby generating a variable margin, helping the current city to better plan in advance and improve the fault tolerance rate of the evaluation.

The invention belongs to the technical field of city planning, and provides a grid management-based city planning application method, which comprises the following steps of: acquiring current city management data, and dividing a target management area into a plurality of basic management grids; a reserved virtual sub-grid capable of being dynamically started is preset for each basic management grid through modular design, and the reserved virtual sub-grid is in an inactive state in an initial state and has self-configuration and adjustment capacity; and continuously monitoring dynamic operation data of each basic management grid, analyzing a current data mode by adopting a decision tree model, and generating a grid adjustment trigger signal. Through the design of dynamic monitoring and elastic reservation of the virtual sub-grids, grid division and management are more flexible, city changes can be responded in time, and the management efficiency and the adaptive capacity are improved.

The invention relates to the technical field of city planning, in particular to a city densification mode detection method and system, and the method comprises the steps: dividing the blocks of a city based on a traffic network provided by an electronic map, taking the blocks as minimum analysis units, and recognizing the main function attributes of each block; obtaining two-dimensional structure characterization and three-dimensional height characterization of each block; the two-dimensional structure representation and the three-dimensional height representation of each block are resampled to the same resolution ratio, and the space reference is unified; different weights are given to the two-dimensional structure characterization and the three-dimensional height characterization of each block according to the main function attributes of each block; according to the two-dimensional structure characterization and the three-dimensional height characterization of each block and the weight endowed by the two-dimensional structure characterization and the three-dimensional height characterization, building a building density index as characterization of urban land densification utilization; and obtaining building density indexes of a plurality of periods, performing time sequence trend analysis on the building density indexes of the plurality of periods through a linear regression model, and judging a densification mode of the current city according to an analysis result.

The application discloses a public sports facility site selection method, system and storage medium, and comprises the following steps: constructing a city grid model according to obtained basic data of a to-be-evaluated region; distributing service capacity of a public sports facility to each fine-grained grid in the city grid model, and calculating service capacity values of different categories of public sports facilities in each administrative region for each age group; calculating a friendly degree of all public sports facilities in each administrative region for each age group and a supply-demand matching degree of different categories of public sports facilities for all groups according to the service capacity values; generating an optimization strategy according to the friendly degree and the supply-demand matching degree; and optimizing public sports facility site selection of the to-be-evaluated region according to the optimization strategy. The embodiment of the application can adapt to rapid changes in a current city population structure, and provides a more efficient, detailed and scientific site selection decision scheme for optimizing the layout scale of city public sports facilities.

The present invention discloses a 3D modeling method based on a digital twin city, belonging to the technical field of three-dimensional urban modeling, specifically including: continuously collecting a sequence of stereo images of the current city in real time, performing differential calculation between adjacent stereo images of the stereo images to obtain a to-be-determined area; performing building image recognition on the to-be-determined area to obtain all building image areas and generating a building digital surface model, obtaining a historical building digital surface model of the city and performing differential calculation with the building digital surface model to obtain a number of target areas; selecting any one of the target areas and obtaining street view photos of different perspectives of the target area, performing feature matching on the street view photos of different perspectives to generate a 3D model of the target area, and correcting the historical city 3D model according to the 3D model of the target area to obtain a final city 3D model. The present invention greatly improves the efficiency and accuracy of urban building modeling.

The invention discloses an operation and maintenance management system and method for a smart city, relates to the technical field of smart city management, and solves the problems that a current urban drainage system does not consider drainage capacity reduction, precipitation data and drainage data are sorted separately in the prior art, and real-time precipitation intensity analysis is lacked. In order to solve the problems of accurate early warning and timely scheduling of ponding risks under extreme rainfall events, the system comprises a drainage analysis module, an anomaly analysis module, a ponding analysis module and a real-time monitoring module, the drainage analysis module is used for analyzing the theoretical maximum drainage of urban sub-regions in a city, and the anomaly analysis module is used for analyzing the maximum drainage of the urban sub-regions in the city. The abnormal analysis module is used for analyzing the abnormal condition of a drainage system in the urban sub-region, the ponding analysis module is used for analyzing the region type of the urban sub-region, the real-time monitoring module is used for monitoring the ponding condition of the urban sub-region, and accurate early warning of ponding risks of different regions in a city is achieved.

The present invention discloses a digital twin city of an Unreal Engine that implements a city space positioning method. The method constructs a three-dimensional layer of the current city, determines the coordinates of the buildings in the plane space coordinate system of the Unreal Engine, calculates the x-axis, y-axis, and z-axis coordinates of the layer that needs to be positioned, and constructs a cube based on the x-axis, y-axis, and z-axis coordinates, and displays the cube through color changes. Compared with the digital twin technology of traditional GIS, the digital twin city space positioning method based on the Unreal Engine realizes a true three-dimensional space; compared with the algorithm of the BIM system, it is no longer necessary to construct a model inside the building model, the resource occupancy rate of the twin city is saved by more than 70%, and the workload of the twin city construction is reduced by 60%. The positioning method is fast and variable in precision, and the precision can be changed at will according to different urban scenes where the technology is applied.

The invention relates to the technical field of carbon emission, in particular to a city-level range three-carbon emission accounting method and system based on multi-source data, and the method comprises the following steps: 1, constructing a city-level range three-carbon emission accounting framework covering a plurality of city key materials; 2, establishing a decision tree of various key material accounting methods based on data quality grading, and providing a judgment basis and a required input data format; and step 3, calculating the three-carbon emission in the city-level range. The invention aims to solve the problems that the current urban range three-carbon emission accounting is only suitable for a few cities and three-carbon emission accounting reports in different urban ranges cannot be transversely compared, and provides a basis for enriching the current Chinese urban carbon emission accounting data and the calculation range.

The invention discloses a multi-terminal-oriented smart city digital twin map management method and a multi-terminal-oriented smart city digital twin map management system, relates to the technical field of city map management, and solves the problem that a current city map management system cannot acquire data in time and cannot reflect traffic conditions in real time, so that city map updating lags behind. The method comprises the following steps: constructing a digital twin model of a city according to building model data and road model data; constructing a standard travel route of the travel unit from any place of departure to the destination and a corresponding standard use time interval, comparing the actual travel route of the travel unit with the actual use time, and performing corresponding operation according to a comparison result; according to the actual use duration of the travel unit, obtaining a corresponding abnormal road section in the actual travel route of the travel unit in combination with a digital twin model of the city; and updating the road data in the digital twin model of the city according to the actual travel route of the travel unit. According to the invention, intelligent management of a smart city map is realized.

The application relates to a civil air defense electro-acoustic alarm method and device, and relates to the technical field of alarms. The method comprises the following steps: acquiring current overall city layout information and a single alarm coverage area value; calling overall city area information and current overall city house layout information according to the current overall city layout information; analyzing and processing the overall city area information and the single alarm coverage area value to form alarm preliminary installation position points; analyzing and processing the current overall city house layout information to form alarm influence position points; analyzing and processing the alarm preliminary installation position points and the alarm influence position points to form alarm final installation position points for installing electro-acoustic alarm devices; when the electro-acoustic alarm device receives electro-acoustic alarm demand information, electro-acoustic alarm control information is acquired according to the electro-acoustic alarm demand information, and the electro-acoustic alarm control information is sent to the electro-acoustic alarm device. The application has the effect of improving the alarm coverage rate of the whole city.

Based on a user's multiple residential histories, the system efficiently matches them with other users who are geographically and temporally close to them. [Solution] A user matching system and method based on residential history information, the matching system operating on a device equipped with input means for a user to input their current city / ward / town / village of residence and at least one past city / ward / town / village of residence, and input the period of residence corresponding to each city / ward / town / village of residence, the matching method being characterized by including the steps of matching each user with other users based on the current and past cities / ward / town / villages of residence and the corresponding cities / ward / town / villages of residence entered by each user, identifying other users whose past and present residential histories are comprehensively similar as a result of the matching, and displaying the identified other users based on the proximity of their cities / ward / town / village of residence and corresponding periods of residence.

The present invention provides a method and device for planning a network of urban rail transit based on GIS, including: acquiring geographic information data, classifying POI point data in the geographic information data by using a multivariate clustering algorithm to obtain the points of various residential groups in the current city; forming a current analysis point set with the points of various residential groups in the current city and other passenger flow distribution points, wherein the current analysis point set and the planning analysis point set together constitute an analysis point set in a surface point line hierarchical analysis method; storing the analysis point set in the form of a data list; wherein the analysis point set includes a point sequence number, a point name, an x-coordinate and a y-coordinate; obtaining a conceptual line network by using a minimum spanning tree algorithm for the analysis point set; and providing a quantitative basis for the division of urban groups, a quantitative basis for the calibration of important functional points in the city, and a quantitative basis for the network construction at the line level, thereby improving the scientificity and rationality of urban rail transit planning.

The invention discloses a digital city management responsibility grid optimization method based on clustering and mean square error analysis, and relates to the field of grid city management. In order to solve the problem that a digital city management responsibility grid is not matched with the current city management situation caused by city hollowing, business and population gathering center transfer and the like, the method comprises the following steps: calculating a unit path affair part report rate according to historical affair part report data of digital city management and a current responsibility grid patrol path; aiming at the unit path component report rates of the grids with different responsibilities, determining a set of the grids with different attributes of responsibilities by using a clustering method; for the responsibility grid set of each attribute, determining a feasible optimization scheme set of the responsibility grid of the attribute in combination with the spatial adjacency relation of the responsibility grids in the set and the requirement of the national standard on the frequency of patrolling the responsibility grid of the attribute by an information acquisition supervisor; and calculating a patrol path mean square error of each scheme in the feasible optimization scheme set according to a patrol total path of the primary responsibility grid in the optimization scheme, and determining the optimization scheme with the minimum patrol path mean square error as the optimal responsibility grid optimization scheme of the attribute responsibility grid set. The method is mainly used for optimizing the division scheme of the city management grid.

The invention discloses a city operation management scheme based on an AI center, belongs to the technical field of city operation management, and optimizes a current city operation management platform by introducing an artificial intelligence technology, building a city brain AI center platform and integrating the platform with a big data platform. And particularly, accurate prediction and efficient aid decision making are carried out on urban operation events, so that social adverse effects caused by misjudgment are reduced, the accuracy and the releasability of commercial intelligent content results are enhanced, and the ability of a management platform to quickly, conveniently and accurately process events in various fields of urban operation is improved.

The invention discloses an urban shadow area automatic identification method based on a knowledge graph. The method comprises five parts of shadow area case library construction, shadow area feature identification model construction, target city graph construction, target city shadow area graph subset search, and target city shadow area identification result output and display. According to the method, the current city data is integrated through the knowledge graph, the city shadow area is accurately identified, and the identification result is finely displayed. The method can cope with the automatic identification of the city shadow area in the field of city planning, the identification accuracy based on the super-large city case library is higher, the identification speed based on the search of the map subset of the shadow area is higher, the formed three-dimensional interactive display is more stereoscopic and visual, and the guidance of the city planning project is stronger.

The present invention discloses a method and system for managing a digital twin map of a smart city for multiple terminals, which relates to the technical field of urban map management, and solves the problem that the current urban map management system fails to obtain data in a timely manner and cannot reflect the traffic conditions in real time, resulting in a lag in the update of the urban map. The method includes: constructing a digital twin model of the city based on building model data and road model data; constructing a standard travel route from any departure place to a destination for a travel unit and a corresponding standard usage duration interval, comparing the actual travel route and the actual usage duration of the travel unit, and performing corresponding operations according to the comparison results; obtaining abnormal road sections corresponding to the actual travel route of the travel unit in the digital twin model of the city based on the actual usage duration of the travel unit; and updating the road data in the digital twin model of the city according to the actual travel route of the travel unit. The present invention realizes the intelligent management of the smart city map.

The present application relates to the field of urban planning technology, and in particular to a method and system for detecting urban densification patterns, the method comprising: dividing a city into blocks based on a traffic network provided by an electronic map, using blocks as the minimum analysis unit, and identifying the main functional attributes of each block; obtaining a two-dimensional structural representation and a three-dimensional height representation of each block; resampling the two-dimensional structural representation and the three-dimensional height representation of each block to the same resolution and unifying the spatial benchmark; assigning different weights to the two-dimensional structural representation and the three-dimensional height representation of each block according to the main functional attributes of each block; constructing a building density index as a representation of urban land densification utilization based on the two-dimensional structural representation and the three-dimensional height representation of each block and the weights assigned thereto; obtaining building density indices for multiple periods, performing time series trend analysis on the building density indices for the multiple periods through a linear regression model, and judging the current urban densification pattern based on the analysis results.

The invention relates to the technical field of sewage pipeline bridge transformation, in particular to an urban sewage pipeline bridge transformation design and construction method. Comprising the following steps: evaluating the reconstruction feasibility according to the structural state of the existing sewage pipeline bridge and determining to adopt an aluminum alloy fabricated structure; a 160 * 120 * 10 mm aluminum square tube stand column and a 420 * 130 mm stairway longitudinal beam component are designed, and it is ensured that the length deviation is smaller than or equal to 10 mm, the height deviation is + 4 mm, the connector dislocation is smaller than or equal to 2 mm, and the camber deviation is smaller than or equal to L / 5000 mm. The problem that a sewage pipeline bridge is single in purpose is solved, urban construction is improved through transformation, pedestrian passageways are increased, traffic pressure is relieved, the transformed bridge adopts an aluminum alloy structure, most of the transformed bridge adopts an assembly type technology, the requirement for engineering development is met, and the bridge has the advantages of being environmentally friendly, low-carbon, safe and rapid. A reasonable solution is provided for problems existing in current city reconstruction construction, and the method is worthy of application and popularization.