An intelligent service method for urban management based on the Internet and government affairs big data

Abstract

The present invention discloses an intelligent service method for urban management based on the Internet and government affairs big data. The method includes: accessing multi-source heterogeneous data, integrating and aggregating it with basic information resources to obtain multi-source heterogeneous data of events; extracting features of the government affairs scenarios of the events to obtain event feature points; using the event feature points to construct a government affairs association data classification system centered on events to form a multi-layer association network; associating the structured information of the events with the coordinate information of the urban model to form an information coordinate group combining the structured information of the events and the coordinate information; establishing a visualization map combining the event scenarios and the structured information based on the information coordinate group; classifying the visualization map to establish a visualization situation analysis system based on the three-dimensional city; and constructing a theme decision-making model based on the cross-department and multi-field business requirements, business characteristics, and spatio-temporal constraints according to the visualization situation analysis system. By using the present invention, the efficiency of event processing can be improved.

Description

Technical Field

[0001] The present invention relates to the field of Internet technologies, and more specifically, to an intelligent service method for urban management based on the Internet and government affairs big data. Background Art

[0002] The status and role of urban management work have become increasingly prominent. Improving the level of urban management helps to improve urban order, enhance urban quality, and promote urban harmony. However, there are still some problems in urban management. Big data is a tool and means to achieve urban governance collaboration. Data collaboration involves the access of application information in different departments and fields. Therefore, urban governance must be comprehensive governance, and the reception of multi-source heterogeneous data and basic information resources such as population, legal persons, and geographical space will affect the efficiency of managers in processing information.

[0003] In the prior art, patent application CN112270296A discloses a method in which a user of an event occurrence party takes an urban event as event image information and transmits it to the intelligent center of the cloud platform. The intelligent center of the cloud platform matches according to the event image information, retrieves a solution for processing the event involved in the event image information from the data center of the cloud platform, and video-displays it to the management department of the event occurrence party to reduce the workload of functional departments, avoid consuming the best time for event processing in the process of feedback to functional departments, and improve the event processing efficiency.

[0004] Although patent application CN112270296A solves the visualization level of urban management, for urban events, mainly based on the event image information taken of urban events and transmitted to relevant management platforms, the management department can only retrieve relevant solutions through the matching of event image information and video-display them to the management department of the event occurrence party. This method cannot obtain multi-source heterogeneous information such as space, events, and people in the event, and it is difficult to collaborate with the data of superior departments and integrate the data resources of this level of departments. Therefore, it is impossible to effectively process urban events based on department data, resulting in low event processing efficiency of grass-roots governance platforms. Summary of the Invention

[0005] The object of the present invention is to overcome the defects of the above prior art and provide an intelligent service method for urban management based on the Internet and government affairs big data. The method includes the following steps:

[0006] For the government affairs data and Internet data in the event, access multi-source data through a heterogeneous information channel, and integrate and converge with basic information resources to obtain multi-source heterogeneous data related to the event;

[0007] Based on the characteristic points of multi-source heterogeneous data in an event, extract the characteristics of the government affairs scenario corresponding to the event, and utilize the coupling of multi-source heterogeneous data to conduct mutual verification and complementary enhancement between heterogeneous channel information, so as to obtain the characteristic points corresponding to the event;

[0008] Utilize the characteristic points corresponding to the event to construct a government affairs associated data classification system centered on the event, and then form a multi-layer association network, where the multi-layer association network is a structured expression and hierarchical management of government affairs data;

[0009] Associate the structured information in the event with the coordinate information in the city model, and index according to the event objects saved in the nodes of the multi-layer association network to form an information coordinate group combining the event structured information and the coordinate information;

[0010] Based on the city model and the information coordinate group, establish a visualization map combining the event scenario and the structured information;

[0011] In response to a user request, classify the visualization map, and establish a visualization situation analysis system based on the three-dimensional city model by constructing a spatio-temporal portrait of the classified event;

[0012] Based on the visualization situation analysis system of the three-dimensional city model, construct a theme decision-making model based on cross-departmental and multi-field business requirements, business characteristics, and spatio-temporal constraints.

[0013] Compared with the prior art, the advantages of the present invention are that, based on the three-dimensional geographic space visualization technology, by accessing the multi-source heterogeneous Internet and government affairs data of each department and integrating them with basic information resources such as population, legal persons, and geographic space, the three-dimensional space calibration and linkage visualization of various types of emergency data and urban management data are realized, enabling users to perform visualization operations and interactions, so as to more quickly and accurately understand the urban event situation and improve the event handling efficiency.

[0014] Through the following detailed description of the exemplary embodiments of the present invention with reference to the accompanying drawings, other features and advantages of the present invention will become clear. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The drawings incorporated in the specification and constituting a part of the specification illustrate embodiments of the present invention and, together with the description, are used to explain the principles of the present invention.

[0016] Figure 1 is a flowchart of a method for intelligent urban management services based on Internet and government affairs big data according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless otherwise specifically stated.

[0018] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0019] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered as part of the specification.

[0020] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0021] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0022] The present invention provides a data modeling and visualization method combining the Internet with government big data, which realizes the three-dimensional spatial calibration and linkage visualization of multiple types of emergency data and urban management data by means of technologies such as real-time access of massive positioning data, three-dimensional positioning calibration, and cross-media panoramic construction.

[0023] See also Figure 1 As shown, the provided urban management intelligent service method based on the Internet and government big data includes the following steps.

[0024] Step S110, for the government data and Internet data in the event, access multi-source data through heterogeneous information channels, and integrate and aggregate them with basic information resources to obtain multi-source heterogeneous data related to the event.

[0025] In this article, events can include various types, such as civil disputes, vehicle fires, etc. The subject of an event can be a person or an object. For example, for a civil dispute, a person is the subject of the event, while for a vehicle fire, the vehicle can be the subject of the event. The place where the event occurs can be a real scene (such as a city), or online public opinion, etc.

[0026] In one embodiment, for the massive government data and Internet data from multiple departments, multiple industries, and multiple fields in the event, multi-source heterogeneous data are accessed through heterogeneous information pipelines such as information pipelines, remote sensing information pipelines, Internet of Things information pipelines, Internet information pipelines, and Beidou navigation information pipelines, and integrated with basic information resources such as population, legal persons, and geographic space to obtain multi-source heterogeneous data related to the event.

[0027] Due to the involvement of heterogeneous information pipelines, the integration and aggregation process needs to adapt to multi-source data. This is because the communication transmission protocols adopted by different data senders may be different, and there are various protocol conversion requirements in the process of aggregating multi-source heterogeneous data. Therefore, a gateway can be set up to achieve unified protocol adaptation and conversion, providing data support for heterogeneous data association and data fusion. Specifically, first parse the original protocol message received from the data sender to obtain original message information such as original message field values, generate a target protocol message according to the target protocol message information, and send it to the data receiver to achieve aggregation.

[0028] In summary, in the process of obtaining multi-source heterogeneous data related to events, on the one hand, it involves government affairs data (such as data information maintained by various departments and industries) and Internet data (such as data information on social platforms). On the other hand, multi-source data from heterogeneous information channels are considered, and these data can cover time information, space information, etc. In addition, the obtained multi-source data can be presented in various forms, such as pictures, data, text, voice, video, etc.

[0029] Step S120: Based on the feature points of the multi-source heterogeneous data in the event, extract the features of the government affairs scenario corresponding to the event, and use the coupling of the multi-source heterogeneous data to perform mutual verification and complementary enhancement between channel information to obtain the feature points corresponding to the event.

[0030] Specifically, analyze the feature points in the multi-source heterogeneous data of the event, extract the features of the government affairs scenario corresponding to the event, and use the coupling of the multi-source heterogeneous data through the interface format and protocol of the heterogeneous information channels to achieve mutual verification and complementary enhancement between channel information. The feature points in the event can be selected according to the specific event type and can be a single feature point or a combination of multiple feature points. For example, a vehicle catching fire is used as a feature point of the event.

[0031] In one embodiment, feature extraction includes: using natural language processing technology and video image intelligent analysis technology to identify the main information of people and objects in the event, and based on the needs of the scenario and business, obtaining other auxiliary information from each information pipeline through the communication transmission protocol according to the main information. For example, if a civil dispute occurs, all auxiliary information that may be required in the scenario, such as the person's residential address, work information, asset information, etc., is obtained.

[0032] In one embodiment, the mutual verification and complementary enhancement between channel information include: obtaining relevant information of multiple departments, industries, and fields related to the event entity from other multi-source heterogeneous data based on the main information, so as to achieve mutual verification and strengthening. For example, a person's identity information can be obtained through the public security department pipeline and can also be obtained from pipelines such as the social security bureau and medical insurance, and then compared, verified, and even corrected.

[0033] Step S130: Using the feature points corresponding to the event, construct a government affairs associated data classification system centered on the event, and then form a multi-layer association network to achieve the structured expression and hierarchical management of government affairs data.

[0034] Specifically, for event information, perform label modeling on the extracted feature points, construct a government affairs associated data classification system centered on the event, and achieve the structured expression and multi-level management of government affairs data.

[0035] In one embodiment, the classification method adopted is: mainly based on the main information of the event subject, and supplemented by the surrounding information associated with the event, classify the information of the people and objects associated with the event subject according to requirements such as event type and information source. For example, if the event subject is a person and the event type is a civil dispute, obtain the basic information of the person, and obtain the relevant information of people and objects according to the dispute matters, including the basic information of others, asset information, value information and status information of objects, etc. Among them, the unstructured information involving videos, pictures, and audio is stored after being structured, and the information types are classified for future reference according to event type, subject type, and information source type.

[0036] Through this step S130, a multi-layer association network is constructed, and event objects can be saved in the network nodes.

[0037] Step S140: Associate the structured information in the event with the coordinate information in the city model, and index according to the event objects saved in the nodes of the multi-layer association network to form an information coordinate group combining event structured information and coordinate information.

[0038] Specifically, construct a three-dimensional city map based on the city model, use technologies such as three-dimensional GIS (Geographic Information System), virtual reality, spatial information visualization, and graphics and images to associate the structured information in the event information with the three-dimensional and two-dimensional coordinate information in the city model, and index according to the event objects saved in the network nodes of the multi-layer association network to form an information coordinate group combining event structured information and coordinate information. Use the rendering engine to parse the scene visual parameters and display the event information in the city model.

[0039] For example, when it is found that someone has tested positive for nucleic acid in a certain place, the activity track of the person can be traced through multi-source heterogeneous data based on the person's information. At the same time, the relevant data of types such as pictures, videos, and voices are structured, and the track is marked on the three-dimensional city map. Furthermore, various types of data information can be displayed for the marked points.

[0040] Step S150: Based on the city model and the information coordinate group, establish a visualization atlas combining the event scene and the structured information.

[0041] Specifically, based on the urban model and the information coordinate group, a visual two-dimensional and three-dimensional view combining event scenarios and structured information is established. And a position-driven visual atlas of urban spatio-temporal big data is established by using the dynamic fusion technology of multi-source spatio-temporal heterogeneous data based on spatio-temporal constraints, semantic constraints, and association rules.

[0042] For example, based on the coordinates of the event entity, people and objects associated with the event entity are obtained through multi-source heterogeneous data, and the corresponding information is obtained. An event informatization atlas centered on the entity and assisted by the scenario is displayed on the three-dimensional urban map. Furthermore, through information such as videos, pictures, and library tables related to the event entity, visual information display of time points / segments of the coordinate information is performed.

[0043] Step S160, in response to a user request, classify the visual atlas, construct a spatio-temporal portrait of the event, and establish a visual situation analysis system based on the three-dimensional urban model.

[0044] For example, according to user needs, through human-computer interaction technology, category screening of the visual atlas is performed (decision-makers can classify and view the atlas according to needs, such as file type, event type, entity type, time period, etc.). The three-dimensional and two-dimensional information is rendered in real time through a rendering engine. By using the method of identifying and dynamically tracking the spatio-temporal behavior patterns of urban people and object groups that couple the geographical entity space and the network digital space, combined with artificial intelligence analysis, a complete spatio-temporal portrait of urban events is constructed, and a visual situation analysis system based on the three-dimensional urban model is established.

[0045] In one embodiment, the dynamic tracking method is: by using the acquisition of information before and during the event of the event entity and the surrounding environment, based on the analysis of the learning model of past events of the same type by artificial intelligence, the diffusion range of the event or the regional range of subsequent impacts is predicted.

[0046] Step S170, based on the situation analysis system of the three-dimensional urban model, construct a theme decision-making model based on cross-departmental and multi-field business requirements, business characteristics, and spatio-temporal constraints.

[0047] Specifically, based on the situation analysis system of the three-dimensional urban model, through the intelligent service mode of urban management business, a theme decision-making model based on cross-departmental and multi-field business requirements, business characteristics, and spatio-temporal constraints is constructed. Based on the analysis of the future situation of urban events, combined with the decision-making pre-plan of the scenario business, intelligent urban management information services for multiple entities are realized.

[0048] For example, the acquisition method of the theme decision-making model is: through the summary of events after processing decisions and implementing decisions for a large number of events, the same type of business is classified into themes, and each theme has a corresponding decision-making pre-plan. For future events, the preprocessing method can be selected from different themes, and the decision details can be adjusted in combination with the development of the situation.

[0049] In summary, the present invention integrates the multi-source heterogeneous data of various departments with basic information resources such as population, legal person, and geographic space, and uses massive positioning data, real-time access, three-dimensional positioning calibration, cross-media panoramic construction and other technologies to achieve three-dimensional spatial calibration and linkage visualization of multiple types of emergency data and urban management data. With the support of image processing technology, computer simulation technology, high-definition display technology, and computer graphics (CG) technology, three-dimensional space objects are displayed in the form of graphics and images, allowing users to perform visual operations and interactions, and understand urban events more quickly and accurately, fully mobilize the governance capabilities of the grassroots, and improve event processing efficiency. In short, the present invention is based on three-dimensional geographic space visualization technology to achieve data modeling and visualization of Internet + government big data, providing effective support for urban collaborative management.

[0050] The present invention may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present invention.

[0051] Computer readable storage medium can be a tangible device that can hold and store instructions used by an instruction execution device. Computer readable storage medium can be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination thereof. More specific examples (non-exhaustive list) of computer readable storage medium include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, for example, a punch card or a convex structure in a groove on which instructions are stored, and any suitable combination thereof. The computer readable storage medium used here is not interpreted as a transient signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagated by a waveguide or other transmission medium (for example, a light pulse by an optical fiber cable), or an electrical signal transmitted by a wire.

[0052] The computer-readable program instructions described herein can be downloaded to various computing / processing devices from a computer-readable storage medium or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network may include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device.

[0053] The computer program instructions for performing the operations of the present invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state-setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages - such as Smalltalk, C++, Python, etc., and conventional procedural programming languages - such as the "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network - including a local area network (LAN) or a wide area network (WAN) - or, alternatively, may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, by using the state information of the computer-readable program instructions to customize an electronic circuit, such as a programmable logic circuit, a field-programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit can execute the computer-readable program instructions to implement various aspects of the present invention.

[0054] Aspects of the present invention are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0055] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, when executed by the processor of the computer or other programmable data processing apparatus, create means for implementing the functions / acts specified in one or more boxes of the flowchart and / or block diagram. These computer-readable program instructions may also be stored in a computer-readable storage medium that causes a computer, a programmable data processing apparatus, and / or other devices to operate in a particular manner, so that the computer-readable medium storing the instructions comprises a manufacture, which includes instructions for implementing various aspects of the functions / acts specified in one or more boxes of the flowchart and / or block diagram.

[0056] The computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices, such that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other devices to produce a computer-implemented process, so that the instructions executed on the computer, other programmable data processing apparatus, or other devices implement the functions / acts specified in one or more boxes of the flowchart and / or block diagram.

[0057] The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram may represent a module, a segment of a program, or a portion of an instruction, which contains one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions noted in the boxes may occur in a different order than noted in the figures. For example, two consecutive boxes may actually be executed substantially in parallel, or they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each box of the block diagrams and / or flowcharts, and combinations of boxes in the block diagrams and / or flowcharts, can be implemented by a special-purpose hardware-based system that performs the specified functions or acts, or by a combination of special-purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, implementation by software, and implementation by a combination of software and hardware are equivalent.

[0058] The embodiments of the present invention have been described above. The above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations are obvious to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The choice of terms used herein is intended to best explain the principles of the embodiments, the practical application, or the improvement of technologies in the market, or to enable other ordinary skill in the art to understand the embodiments disclosed herein. The scope of the present invention is defined by the appended claims.

Claims

1. An intelligent service method for urban management based on the Internet and government affairs big data, comprising the following steps: For the government affairs data and Internet data in the event, access multi-source data through heterogeneous information channels, and integrate and converge with the basic information resources to obtain multi-source heterogeneous data related to the event; Based on the feature points of the multi-source heterogeneous data in the event, extract the features of the government affairs scenario corresponding to the event, and through the interface format and protocol of the heterogeneous information channel, use the coupling of multi-source heterogeneous data to perform mutual verification and complementary enhancement between the heterogeneous channel information, and obtain the feature points corresponding to the event; Use the feature points corresponding to the event to construct a government affairs association data classification system centered on the event, and then form a multi-layer association network, and the multi-layer association network is a structured expression and hierarchical management of government affairs data; Associate the structured information in the event with the coordinate information in the urban model, and index according to the event objects saved in the nodes of the multi-layer association network to form an information coordinate group combining the event structured information and the coordinate information; Based on the urban model and the information coordinate group, establish a visualization map combining the event scenario and the structured information; In response to a user request, classify the visualization map, and establish a visualization situation analysis system based on the three-dimensional urban model by constructing a spatio-temporal portrait of the classified event; Based on the visualization situation analysis system of the three-dimensional urban model, construct a theme decision-making model based on cross-departmental and multi-field business requirements, business characteristics, and spatio-temporal constraints; Among them, the mutual verification and complementary enhancement between the heterogeneous channel information include: obtaining relevant information of multiple departments, industries, fields, and event entities from other multi-source heterogeneous data based on the predetermined main information to achieve mutual verification and complementary enhancement.

2. The method according to claim 1, characterized in that, The heterogeneous information channels include remote sensing information pipelines, Internet of Things information pipelines, Internet information pipelines, and Beidou navigation information pipelines, and the basic information resources include population information resources, legal person information resources, and geospatial information resources.

3. The method according to claim 1, characterized in that, For the government affairs data and Internet data in the event, accessing multi-source data through heterogeneous information channels and integrating and converging with the basic information resources includes: Use the protocol adaptation gateway to parse the message protocol transmitted by the sender to obtain the message information, and the message protocol follows the protocol specifications of the corresponding sender; Use the protocol adaptation gateway to convert the message information transmitted by the sender into a target protocol message according to the target protocol specifications, and then send it to the target receiver for integration and convergence.

4. The method according to claim 1, wherein The multi-layer association network is mainly based on the preset key information of the event entity, and the surrounding information associated with the event is used as an auxiliary, and classifies the information of people and objects associated with the event entity according to the event type and information source.

5. The method according to claim 1, characterized in that The entity of the event is a person or an object, and the identity information of the person is obtained through the public security department pipeline and verified by comparing with the relevant information obtained through the social security bureau pipeline and the medical insurance pipeline.

6. The method according to claim 1, characterized in that, The multi-source heterogeneous data includes pictures, data, texts, voices, videos, and tables.

7. The method according to claim 1, characterized in that, The visualization atlas displays an event informatization atlas centered on the event subject and assisted by scenarios in a three-dimensional urban map, and visualizes the coordinate information of the event subject or the assisted scenarios over a time period through videos, pictures, and library table information associated with the event subject.

8. The method according to claim 1, characterized in that, The theme decision-making model is obtained according to the following steps: Analyze the processing decisions and execution decisions of a predetermined number of historical events to form an event summary, and classify the events of the same type according to themes to obtain the corresponding decision-making plans for each theme; For the actually-occurring events, select the decision-making plan from the relevant themes according to the event type, and adjust the selected decision-making plan in combination with the multi-source heterogeneous data actually obtained.

9. A computer-readable storage medium having a computer program stored thereon, wherein, When executed by a processor, the computer program implements the steps of the method according to any one of claims 1 to 8.

10. A computer device, comprising a memory and a processor, wherein a computer program capable of running on the processor is stored on the memory, characterized in that When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 8.

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