Event-driven Cross-domain Application Collaboration Method for Internet and Government Affairs Big Data

Abstract

The present invention discloses an event-driven cross-domain application collaboration method for Internet and government affairs big data. The method includes: forming a public real-time information library based on cross-domain information sources; establishing a public event trigger engine; for emergencies in social public areas, triggering the public event trigger engine and establishing an event data slice library; analyzing event feature points based on the event data slice library and establishing an event mapping table; establishing an event pre-measure table based on the event mapping table; multicasting the optimized decision-making scheme in the event pre-measure table to the execution department for execution via a decision transfer library, and storing the feedback result in the decision transfer library; forming a pre-plan event knowledge library by analyzing the feedback result; based on the pre-plan event knowledge library, grading the sensitivity of the same type of events, and further determining the forwarding mechanism of subsequent decision-making schemes. The present invention improves the processing efficiency of social events, and at the same time enhances the scientificity and objectivity of the event processing results.

Description

Technical Field

[0001] The present invention relates to the field of Internet technologies, and more specifically, to an event-driven cross-domain application collaboration method for Internet and government affairs big data. Background Art

[0002] Due to the rapid growth of government affairs information resources, when social emergencies occur, the information barriers among various departments, industries, and fields have gradually become the biggest obstacle to the implementation of social emergency services. Effectively solving the cross-domain collaboration problem among various departments is conducive to giving full play to the data value of each department to a greater extent, realizing a smart government, and improving the efficiency of smart services.

[0003] Event information is the basis and key to the emergency management of social security events. However, event information is often scattered among different government departments and non-governmental organizations. At present, each entity has established an emergency intelligence system that meets its own needs, but there are information barriers among these systems, and there is a lack of a unified collaboration mechanism in the process of sharing emergency intelligence, resulting in possible information distortion in emergencies, thus affecting the development of emergency work.

[0004] In summary, in the management of social events, each entity has established an emergency intelligence system that meets its own needs, but there are information barriers among these systems. However, in the process of social event management, multi-party collaboration is required. In this process, event information is the guide and key to realizing emergency handling, thus requiring the service support environment to be able to identify events from various different event sources and be able to implement a rapid response mechanism for emergency events. Summary of the Invention

[0005] The object of the present invention is to overcome the defects of the above-mentioned prior art and provide an event-driven cross-domain application collaboration method for Internet and government affairs big data. The method includes the following steps:

[0006] Based on multiple cross-domain information sources, obtain social public area information to form a public real-time information database;

[0007] By comparing preset specified items with reference standards, establish a public event trigger engine and map it to the public real-time information database. The public event trigger engine reflects the event trigger standards of multiple fields;

[0008] For emergencies in the social public area, update the public real-time information database and decide whether to trigger the public event trigger engine to establish an event data slice database, which contains the captured events;

[0009] Based on the event data slice database, structure the perception data and decompose it into event information granular points, and establish an event mapping table by analyzing the event feature points;

[0010] Based on the event mapping table, by coupling the event data slice library with multi-source information, corresponding optimization decision-making schemes are made, and then an event pre-measure table is established, which reflects the corresponding relationship between event types and optimization decision-making schemes;

[0011] The optimization decision-making schemes in the event pre-measure table are multicast to the execution department via the decision transfer library for execution, and the feedback results are stored in the decision transfer library;

[0012] By analyzing the feedback results, the benefits of each execution department in handling events are judged, and the processing results are collected to form a pre-plan event knowledge base, which reflects the corresponding relationship between prior event types and optimal decision-making schemes;

[0013] Based on the pre-plan event knowledge base, the sensitivity of the same type of events is graded, and according to the grading results, it is decided whether to automatically transfer the optimal decision-making scheme to the execution department or to the decision-making layer for decision-making subsequently.

[0014] Compared with the prior art, the advantages of the present invention are that by collecting real-time data on the business and scenario environment in the social public area, saving the spatio-temporal segment data when an event occurs, and combining the decision-making of the decision-making layer and emergency strategies to timely transmit execution commands to each unit for execution, and by comparing the data before, during, and after the event occurs to evaluate the handling situation and processing efficiency, thereby objectively judging the event handling benefits and the execution situation of each unit, improving the processing efficiency of social events, and at the same time enhancing the scientificity and objectivity of the event handling results, etc.

[0015] 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

[0016] The accompanying drawings incorporated in and constituting a part of this specification illustrate embodiments of the present invention and, together with the description, serve to explain the principles of the present invention.

[0017] Figure 1 is a flowchart of a method for cross-domain application collaboration of Internet and government affairs big data based on event-driven according to an embodiment of the present invention;

[0018] Figure 2 is an overall process block diagram of a method for cross-domain application collaboration of Internet and government affairs big data based on event-driven according to an embodiment of the present invention. Detailed Embodiments

[0019] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: unless otherwise specifically stated, the relative arrangements of components and steps, numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present invention.

[0020] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way a limitation on the present invention or its application or use.

[0021] Technologies, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such technologies, methods, and devices should be regarded as part of the specification.

[0022] In all examples shown and discussed herein, any specific values should be construed as merely exemplary and not as a limitation. Thus, other examples of the exemplary embodiments may have different values.

[0023] It should be noted that: like reference numerals and letters denote like items in the following drawings, and thus, once an item is defined in one drawing, further discussion thereof is not required in subsequent drawings.

[0024] In the cross - domain application collaboration solution of the Internet and government affairs big data based on event - driven provided by the present invention, the core is to be driven by events, centered on business, and through the collaboration of multi - source heterogeneous data in multiple departments, industries, and fields to solve event problems around business. Among them, business events are the bridges for realizing cross - domain application collaboration and information exchange. Based on business events, event - related mapping of business is carried out through methods such as event capture, event mapping, and event multicast, and multi - source heterogeneous data in multiple departments, industries, and fields are coupled according to decision - making pre - plans to provide cross - domain application collaboration for events. In the description of the present invention, event types include but are not limited to community water outage or traffic congestion events, etc. Decision - making and execution departments include various types of departments such as transportation departments, environmental protection departments, water conservancy departments, market supervision departments, and social security handling departments.

[0025] Specifically, as shown in Figure 1 and Figure 2 The provided cross - domain application collaboration method of the Internet and government affairs big data based on event - driven includes the following steps:

[0026] Step S110, based on multiple cross - domain information sources, obtain social public area information in real time and establish a public real - time information database.

[0027] For example, based on multiple cross - domain information sources such as the Internet of Things infrastructure, public infrastructure, geospatial facilities, and social network media in the city, combined with multiple sensing devices such as monitoring devices, remote sensing devices, and sensors, obtain social public area information in real time to form a public real - time information database.

[0028] To distinguish data in different fields or scenarios, the public real-time information repository may include scenario types, corresponding key data information, etc. For example, for the public appeal scenario, the key data may include the types of appeal themes.

[0029] In one embodiment, the public real-time information repository is multiple multi-source heterogeneous table information. Heterogeneous means that the types of information can be various different types of data such as pictures, videos, and audios. Multi-source means the information collected by units in multiple departments, industries, and fields through sensing devices. For example, the public real-time information repository includes surveillance videos, temperature, humidity, air quality, pictures, remote sensing data, face data, etc.

[0030] Step S120: Based on preset regulations and reference standards, establish a public event trigger engine and map it to the public real-time information repository.

[0031] For example, based on the public real-time information repository, associate relevant regulations such as policies, systems, laws, regulations, and industry norms, and combine them with reference standards for various indicators such as the population flow, temperature, air quality, and content of various gases in public areas at the international / national level to establish a public event trigger engine and map it to the public real-time information repository. The public event trigger engine aims to establish an emergency alarm mechanism to drive the response mechanism based on real-time events, so as to achieve a more accurate and rapid emergency response on the premise of minimizing the coordination costs between departments.

[0032] Step S130: For emergencies in social public areas, update the public real-time information repository, determine whether to trigger the public event engine, and establish an event data slice library to achieve event capture.

[0033] For emergencies in social public areas, utilize the various index changes in the environment and scenario caused by people and objects in the event, capture the environmental and scenario elements through sensing devices, trigger changes in the public real-time information repository, and the indicators that violate or are higher / lower than the corresponding regulations / (recommended) standards will trigger the public event trigger engine, record the instant data in the public real-time information repository, and establish an event data slice library to achieve event capture.

[0034] The event data slice library contains the data feature points for judging the occurrence of the event and the corresponding time. For example, when using the temperature index to judge whether an event occurs, the temperature value is the feature point or data feature point. By constructing the time data slice library, the data feature points of the public real-time information that are higher / lower than the corresponding reference standards and the corresponding time can be recorded.

[0035] For example, in the transportation field, if a vehicle rear-end collision occurs on a road, causing traffic congestion on that road, and at the same time, there is smoke rising from the front of the rear-ended vehicle, indicating a trend of fire. Devices such as on-site cameras, temperature sensors, and in-vehicle GPSs immediately obtain road data and compare it with the temperature reference values of corresponding objects (i.e., vehicles) and the reference values of road traffic flow. At the same time, combined with Internet data, the relevant information of online public opinion at the location of this road increases / soars. Based on the multi-source data information, abnormal indicators are immediately recorded and the engine is triggered.

[0036] Another example is when dealing with public demand scenarios. Determine whether to activate the public event trigger engine according to the following steps:

[0037] Collect the public demand records published on the relevant service platforms during the target monitoring period. Based on the content similarity analysis between each public demand record, judge the theme type of the demand;

[0038] When the number of demands judged to be of the same theme type exceeds the set threshold within multiple consecutive monitoring periods, it is considered that an emergency event has occurred (such as a community power outage, etc.).

[0039] Step S140: Based on the event data slice library, structure the perception data and decompose it into event information granular points. By analyzing the event feature points and difference points, classify the event business types and scenario types, and establish an event mapping table.

[0040] Based on the event data slice library, structure the perception data and decompose it into event information granular points. According to the relevant policy systems, laws and regulations, industry norms and other regulatory matters, analyze the event feature points and difference points. Through the marking of feature points, use government affairs big data to couple cross-domain multi-source multi-dimensional data such as multiple departments, multiple industries, and multiple fields, classify the event business and scenario types, conduct event correlation mapping, establish a unified initial state of the event, and form an event mapping table.

[0041] The event mapping table reflects the structured information of the event, which is beneficial to formulating corresponding decision-making plans for specific events in the future.

[0042] For example, the event mapping table compares the data feature points of the event with the corresponding reference data such as regulations / industry standard norms. The same feature point can correspond to multiple reference standards. For example, temperature can correspond to the real-time weather forecast temperature and the normal reference temperature of people / objects, etc., to form an event mapping table record for subsequent analysis.

[0043] In one embodiment, for the event data slices of the road environment, the decomposition into event information granular points includes: identifying vehicle information on the road, such as brand, license plate number, vehicle model, number of passengers, location of the road, identifying the facial information of people and the identity information for comparing facial information, and also including information such as ambient temperature, humidity, remote sensing, etc., and recording the above information as structured digital information and storing it in a database.

[0044] For example, for a vehicle fire event in the transportation field, determining the event feature points and difference points includes: using an infrared temperature measurement camera to identify whether the vehicle temperature is higher than the ambient temperature, operating temperature and ignition point, or judging whether the road traffic flow and driving direction are abnormal to determine the cause of the event, and at the same time identifying the difference points between the key entity causing the event and other normal entities, such as temperature, driving direction, speed, etc.

[0045] Step S150, based on the event mapping table, make an optimal decision plan for the event from multiple aspects and establish an event pre-measurement table.

[0046] Based on the event mapping table, combining the urban emergency data strategy and the urban management data strategy, through artificial intelligence combined with business and scenario types, through the event data slice library and the government affairs big data to associate massive, heterogeneous and heterogeneous information elements in multiple departments, multiple industries, multiple fields, etc. for coupling judgment, make an optimal decision plan for the event from multiple aspects such as space, business, strategy, etc., and establish an event pre-measurement table, and this event pre-measurement table reflects the corresponding relationship between the event type and the optimized decision plan.

[0047] For example, by inputting a deep learning model to compare and learn based on the historical abnormal event information of the same type and the scenario information of non-abnormal situations, the event information is mainly video information, and at the same time combining the heterogeneous information types of the environment and scenario when the event occurs and the information in non-abnormal situations for comprehensive comparison, and output a business model that can judge the event type by inputting multi-source heterogeneous information.

[0048] In one embodiment, an event pre-measurement table is established based on a pre-trained classification model, and each sample in the training set reflects the corresponding relationship between the event type, event feature values and known decision plans. In practical applications, input the event type and feature values that occur in real time into the classification model, and an optimized decision plan can be obtained.

[0049] Step S160, based on the event pre-measurement table, transmit the decision plan in the form of multicast to the relevant departments for execution via the decision transfer library.

[0050] Based on the event pre-measure table, after the decision-making layer selects an implementation plan from the table, according to the content of the urban emergency data strategy and the urban management data strategy information, it matches the corresponding implementing units such as units, industries, and fields for each measure, establishes a decision transfer library, and sends the decision-making plan through communication methods such as internal network, SMS, phone, and Internet to achieve event multicast.

[0051] Still taking the transportation field as an example, the event pre-measure table includes: if it is judged that a collision accident occurs on the road, resulting in road congestion, the perception device is used to judge whether the collision vehicle is deformed, overheated, on fire, whether the personnel get off the vehicle, the road congestion situation, etc., and the corresponding processing department that arrives at the scene fastest or the nearby on-duty (if it belongs to a serious event, also including off-duty) personnel are notified according to the corresponding situation. At the same time, a strategy plan from urgent to slow is formulated according to the situation judged by the perception device, such as the number of personnel in the processing department, whether to notify those with aircraft transportation tools, and the intervention plan for nearby roads, etc.

[0052] Step S170, the implementing department feeds back the processing result to the decision transfer library, and then a pre-plan event knowledge base is established by analyzing the benefit information of the implementing department in handling the event.

[0053] Based on the decision transfer library, after each implementing department completes the implementation of the plan, it further feeds back the processing result to the decision transfer library. The decision-making layer can view the status of the event data slice library in real time, combine the analysis results of the event data slice library by artificial intelligence, judge the benefits of each implementing department in handling the event and the handling situation of the event, and at the same time collect the processing results to form a pre-plan event knowledge base. This design of feeding back the processing result through the status of the slice library can convert the actual implementation result into prior knowledge to guide the response measures for subsequent events.

[0054] Step S180, based on the pre-plan event knowledge base, the sensitivity of the same type of event is rated, and the forwarding mechanism for subsequent events is determined according to the rating result.

[0055] Based on the pre-plan event knowledge base, the decision-making layer can manage the sensitivity rating authorization for the same type of event. In the future, for the same type of event, low-sensitivity events can automatically send the optimal decision to the implementing unit after collecting event information through processes such as event capture and event mapping and making judgments based on the pre-plan event knowledge base and the emergency strategy. For high-sensitivity events, the decision-making layer is notified for decision-making. In this way, low-sensitivity events can be automatically processed, significantly improving the efficiency of social event handling, and high-sensitivity events are processed after monitoring to ensure the implementation effect of decision-making measures.

[0056] In summary, the present invention captures the scene and business environment data of the event occurrence tense through the sensing device; analyzes and compares the scene and business environment data according to the emergency strategy to judge the nature of the event; based on the event decision of the decision-making layer, judges through the event data and sends the decision-making commands executed by the corresponding departments; objectively judges the event handling situation by comparing the environmental data before and after the event is processed by decision-making, and optimizes the relevant decision-making plans according to the handling situation; forms an event-driven Internet + government affairs big data cross-domain application collaboration technology through event capture, mapping multicast, etc. By organically combining the above steps, the efficiency and flexibility in dealing with public events can be improved, and the information barriers between departments can be avoided by event driving, and the unified coordination ability can be enhanced.

[0057] 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 having thereon computer-readable program instructions for causing a processor to implement various aspects of the present invention.

[0058] The computer-readable storage medium may be a tangible device that can retain and store instructions for use by an instruction execution device. The computer-readable storage medium may 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 of the foregoing. More specific examples (non-exhaustive list) of the 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 disc read-only memory (CD-ROM), a digital versatile disc (DVD), a memory stick, a floppy disk, a mechanically encoded device such as a punched card or raised structures in grooves having instructions stored thereon, and any suitable combination of the foregoing. The computer-readable storage medium used herein is not construed as an instantaneous signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagated through a waveguide or other transmission medium (e.g., an optical pulse through an optical fiber cable), or an electrical signal transmitted through a wire.

[0059] The computer-readable program instructions described herein may be downloaded from the computer-readable storage medium to various computing / processing devices, or downloaded to an external computer or external storage device through 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 transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter 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 the computer-readable storage medium in each computing / processing device.

[0060] The computer program instructions for carrying out 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, partly on the user's computer, as a stand - alone software package, partly on the user's computer and partly on a remote computer, or entirely on the 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 it may be connected to an external computer (e.g., through 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.

[0061] Aspects of the present invention are described herein with reference to the flowchart and / or block diagram of methods, apparatus (systems), and computer program products according to embodiments of the present invention. It should be understood that each block of the flowchart and / or block diagram, and the combinations of blocks in the flowchart and / or block diagram, can be implemented by computer - readable program instructions.

[0062] 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, when the instructions are executed by the processor of the computer or other programmable data - processing apparatus, a device is created that implements the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer - readable program instructions can also be stored in a computer - readable storage medium, which causes a computer, a programmable data - processing apparatus, and / or other devices to operate in a particular manner. Thus, the computer - readable medium storing the instructions includes a manufacture, which includes instructions for implementing various aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0063] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, causing a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process such that the instructions executed on the computer, other programmable data processing apparatus, or other device implement the functions / acts specified in one or more blocks of the flowchart and / or block diagram.

[0064] 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 block in the flowchart or block diagram may represent a module, a segment of code, 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 blocks may occur out of the order noted in the figures. For example, two consecutive blocks may in fact be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or acts, or by a combination of dedicated hardware and computer instructions. As will be apparent to those of ordinary skill in the art, implementations using hardware, implementations using software, and implementations using a combination of software and hardware are equivalent.

[0065] 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 will be apparent 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 improvements made to the technology 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 event-driven collaborative method for cross-domain applications of Internet and government affairs big data, comprising the following steps: Based on multiple cross-domain information sources, obtain social public area information and form a public real-time information database; By comparing preset specified matters with reference standards, establish a public event trigger engine and map it to the public real-time information database. The public event trigger engine reflects event trigger standards in multiple fields; For emergencies in the social public area, update the public real-time information database and trigger the public event trigger engine to establish an event data slice library, which contains data points of the occurring event and corresponding time; Based on the event data slice library, structure the perception data and decompose it into event information granular points. By analyzing set event feature points, establish an event mapping table, which contains data feature points corresponding to the event and reference standards; Based on the event mapping table, by coupling the event data slice library with multi-source information, make corresponding optimized decision-making schemes, and then establish an event pre-measure table, which reflects the corresponding relationship between event types and optimized decision-making schemes; Multicast the optimized decision-making schemes in the event pre-measure table to the execution department for execution via the decision transfer library, and store the feedback results in the decision transfer library; By analyzing the feedback results, judge the benefits of each execution department in handling events, and collect the handling results to form a pre-plan event knowledge base, which reflects the corresponding relationship between prior event types and optimal decision-making schemes; Based on the pre-plan event knowledge base, grade the sensitivity of the same type of events, and according to the grading results, decide whether to automatically transfer the optimal decision-making scheme to the execution department or transfer it to the decision-making layer for decision-making subsequently.

2. The method according to claim 1, wherein, the public event trigger engine is established based on the combination of matters stipulated by policies, systems, laws, regulations, industry norms and various index reference standards of the corresponding public area.

3. The method according to claim 1, wherein, For emergencies in the social public area, utilize the changes of various indicators in the environment and scene caused by people and objects in the event, capture environmental and scene elements through sensing devices, and then update the public real-time information database, and decide whether to trigger the public event trigger engine by sensing the degree of indicator change.

4. The method according to claim 1, wherein, the event pre-measure table is obtained according to the following steps: Pre-train a classification model, where each sample in the training set reflects the corresponding relationship between event types, event feature values and decision-making schemes; Input the real-time occurring event type and the collected feature values into the classification model to obtain the corresponding optimized decision-making scheme.

5. The method according to claim 1, wherein, the decision transfer library sends the decision-making scheme to the corresponding execution department in a multicast form via internal network, SMS, phone, and Internet.

6. The method according to claim 1, wherein, Judge the occurring event type according to the following steps: Calculate the deviation degree between the real-time feature information and the historical feature information for the set feature indicators; In the case where the calculated deviation degree is greater than the set threshold, determine the type of event that occurred and the corresponding executing department.

7. The method according to claim 6, wherein, the feature indicators are preset according to different fields.

8. The method according to claim 1, wherein, the public real-time information library includes surveillance videos, temperature, humidity, air quality, pictures, audio, remote sensing data, and face data.

9. A computer-readable storage medium, on which a computer program is stored, wherein, when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

10. A computer device, comprising a memory and a processor, and a computer program capable of running on the processor is stored on the memory, wherein, when the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

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