CN114446287A - NLP and GIS based urban event allocation method and system - Google Patents

NLP and GIS based urban event allocation method and system Download PDF

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Publication number
CN114446287A
CN114446287A CN202210108230.4A CN202210108230A CN114446287A CN 114446287 A CN114446287 A CN 114446287A CN 202210108230 A CN202210108230 A CN 202210108230A CN 114446287 A CN114446287 A CN 114446287A
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event
urban
determining
gis
department
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韩鹏鹏
李桂玲
宗洋洋
王亚军
郭靖
沈紫阳
陆建刚
仝令玮
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Shandong Fosung Science And Technology Co ltd
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Shandong Fosung Science And Technology Co ltd
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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/18—Speech classification or search using natural language modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • G06F40/35—Discourse or dialogue representation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services

Abstract

The invention discloses a city event allocation method and system based on NLP and GIS, wherein a city is divided into a plurality of grid areas in advance; based on GIS space analysis, determining the corresponding business department and supervision department of each grid area by combining the business department area division data and the supervision department area division data; the event distribution method comprises the following steps: acquiring urban event data, wherein the event data comprises event comprehensive description information and position information; determining the service type and the belonging grid area of the event according to the comprehensive description information and the position information of the urban event; and determining a corresponding service department and a supervision department according to the service type of the event and the grid area to which the event belongs. The invention can rapidly determine the service type by performing NLP semantic analysis on the comprehensive description information of the problems reported by the city, thereby realizing service allocation.

Description

NLP and GIS based urban event allocation method and system
Technical Field
The invention belongs to the technical field of urban event data processing, and particularly relates to an NLP and GIS-based urban event distribution method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the construction of digital cities, the types of urban event data are increasing day by day, the data volume is also greatly increased, and difficulty is brought to determining the business to which the event belongs. On one hand, the description of the event data is generally unstructured data, and machine interpretation is difficult, and on the other hand, each business department has further subdivision departments, and the number of the departments is large, so that the accuracy of event distribution needs to be improved.
In order to realize accurate and automatic distribution of events, researchers adopt an event similarity comparison method, a case base is established according to historical events of each department, and similarity comparison is carried out on the events to be distributed and the historical events, so that distribution departments are determined.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an urban event allocation method based on NLP and GIS, which can rapidly determine the service type by performing NLP semantic analysis on the comprehensive description information of urban reported problems, thereby realizing the service allocation.
In order to achieve the above object, one or more embodiments of the present invention provide the following technical solutions:
a city event allocation method based on NLP and GIS, the city is divided into a plurality of grid areas in advance, and according to grid area distribution, service department area division data and supervision department area division data, the GIS space analysis method is combined to determine the service department and supervision department corresponding to each area grid; the event distribution method comprises the following steps:
acquiring urban event data, wherein the event data comprises event comprehensive description information and position information;
determining the service type and the belonging grid area of the event according to the comprehensive description information and the position information of the urban event;
and determining a corresponding service department and a supervision department according to the service type of the event and the grid area to which the event belongs.
Further, determining the traffic type of the event comprises:
segmenting words of the comprehensive description information of the urban events, and identifying the event description segmentation words;
matching the event description participles with keywords of various events in a preset event list, and determining the service type of the event; the preset event list comprises a plurality of classes corresponding to various events and a plurality of keywords.
Further, determining the traffic type of the event comprises:
matching the event description participles with a plurality of keywords corresponding to various events in a preset event list, and scoring according to the number of the keywords which are successfully matched;
and obtaining the corresponding service type if the fraction exceeds the set threshold value.
Further, according to the comprehensive description information and the position information of the urban event, the level to which the event belongs is also determined.
Further, determining a hierarchy to which the event belongs comprises:
segmenting words of the comprehensive description information of the urban event, and identifying position description segmentation words in the comprehensive description information;
and determining the administrative level according to the position description word segmentation and combining position information.
One or more embodiments provide a city event allocation system based on NLP and GIS, comprising a mobile terminal and a server;
the mobile terminal is used for acquiring event data and sending the event data to the server, wherein the event data comprises event comprehensive description information and position information;
the server configured to include:
the allocation management module is used for storing the divided data of the urban grid region; based on GIS space analysis, determining the corresponding business department and supervision department of each grid area by combining the business department area division data and the supervision department area division data;
the event acquisition module is used for acquiring event data;
the event distribution module is used for determining the service type and the grid area to which the event belongs according to the comprehensive description information and the position information of the urban event; and determining a corresponding service department and a supervision department according to the service type of the event and the grid area to which the event belongs.
Furthermore, the allocation management module also stores a preset event list, wherein the preset event list comprises a plurality of key words and a plurality of multi-level classifications corresponding to various events;
the event distribution module determines the service type of the event and comprises the following steps:
segmenting words of the comprehensive description information of the urban events, and identifying the event description segmentation words;
and matching the event description participle with key words of various events in a preset event list, and determining the service type of the event.
Further, determining the traffic type of the event comprises:
matching the event description participles with a plurality of keywords corresponding to various events in a preset event list, and scoring according to the number of the keywords which are successfully matched;
and obtaining the corresponding service type if the fraction exceeds the set threshold value.
Further, the allocation management module also stores administrative division data.
And the event distribution module also determines the hierarchy of the event according to the comprehensive description information and the position information of the urban event.
Further, determining a hierarchy to which the event belongs comprises:
segmenting words of the comprehensive description information of the urban event, and identifying position description segmentation words in the comprehensive description information;
and determining the administrative level according to the position description word segmentation and combining position information.
The above one or more technical solutions have the following beneficial effects:
by introducing a GIS space analysis method, according to the urban grid division data and the regional distribution data of the supervision department, the association between the grid region and the supervision department is realized, the event distribution function is extended, and the distribution of the business department and the distribution of the supervision department can be realized.
Through the event list, the corresponding service type of the event can be determined through multiple keyword matching, the early-stage workload is small, and the service type classification efficiency is greatly improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a flow chart of a city event distribution method based on NLP and GIS in the embodiment of the invention;
fig. 2 is a schematic diagram of a method for determining an event service type according to an embodiment of the present invention;
fig. 3 is a diagram of layer superposition for city grid division and region division of a monitoring department and a business department based on GIS spatial analysis in the embodiment of the present invention.
Detailed Description
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Example one
The embodiment discloses a city event allocation method based on NLP and GIS, as shown in figures 1 and 3, the city is divided into a plurality of grid areas in advance, and according to grid area distribution, service department area division data and supervision department area division data, a GIS space analysis method is combined to determine the service department and supervision department corresponding to each area grid; the method comprises the following steps:
step 1: acquiring city event data;
the event data comprises different city business events such as gardens, municipalities and the like, and the event data comprises event comprehensive description information and position information. In the embodiment, the mobile terminal is used for collecting the field event, the description information of the event is input in the field and confirmed, the mobile terminal acquires the current position information after the confirmation, and the comprehensive description information and the position information of the event are uploaded to the server. The mobile terminal may be a mobile phone or a specific information collector, as long as the function of recording and positioning events can be realized, which is not limited herein.
Step 2: determining the service type and the belonging grid area of the event according to the comprehensive description information and the position information of the urban event;
an event list is preset, wherein the event list comprises a plurality of levels of classification, event component types and a plurality of keywords aiming at various business events, for example, the events aiming at a well cover, the business type is urban management, the first-level category is public facilities, the second-level category is a water supply well cover, the problem types comprise inclination, overflow and the like, and the keywords comprise related keywords of the water supply well cover, inclination, overflow and the like. By performing NLP semantic analysis on the description information of the event, respectively obtaining the description information and the occurrence position information of the event through intelligent word segmentation, matching the description information and the occurrence position information with a preset event list, and determining which type of service the event belongs to and matching the size type of the service after matching is successful.
The step 2 specifically comprises:
(1) segmenting words of the comprehensive description information of the urban event, and identifying position description segmentation words and event description segmentation words in the comprehensive description information;
(2) matching the event description participle with keywords of various events in a preset event list, and determining the service type of the event; the matching rule is as follows: matching the event description participles with a plurality of keywords corresponding to various events in a preset event list, and scoring according to the number of the keywords which are successfully matched; and obtaining the corresponding service type if the fraction exceeds the set threshold value. As a specific implementation, in conjunction with fig. 2, 1) hit a matching word, and get a score of 1; 2) the event component type is the event of the component, and the score is greater than or equal to 2 and is divided into hits; 3) the event component type is an event of the event, and the score is greater than or equal to 1 and is divided into hits; 4) and selecting the item with the highest score as the hit item when a plurality of items are hit. At this time, for the above example event, the item list of the sequence number 2 is found to match with the keyword 1 and the keyword 4, and the item list is given a score of 2 as a component event, which is a hit list.
Taking the event description information "shunhua roadside has a sewage well cover to overflow, causing the pedestrian in the auxiliary road to be unable to pass" as an example, firstly, entering a participle unit to process, and using HMM participle algorithm to participle the event description information, namely dividing the event description information into "shunhua roadside/have/one/sewage well cover/occur/overflow/cause/auxiliary road pedestrian/unable/pass", after participle, circularly following the event list information, as shown in the figure, the event list contains information such as sequence number, service type, event component type, large class, small class, problem type, keyword, etc., and the list provides dynamic maintenance function. And traversing the keyword words of each item, and performing item matching.
(3) And determining the level and the grid area to which the event belongs according to the position description participle and the position information.
The step of determining the hierarchy specifically comprises:
(1) performing semantic analysis on the address description, performing matching operation with a place name address library (matching logic is the same as item list matching), and determining an administrative level;
(2) and verifying the administrative level according to the position information.
And 3, step 3: and determining corresponding business departments and supervision departments according to the business types, the belonged levels and the belonged grid areas of the events.
Example two
Based on the method in the first embodiment, the embodiment provides an urban event allocation system based on NLP and GIS, which comprises a mobile terminal and a server; wherein the content of the first and second substances,
the mobile terminal is used for acquiring event data and sending the event data to the server, wherein the event data comprises event comprehensive description information and position information;
the server configured to include:
the allocation management module is used for storing the divided data of the urban grid region; based on GIS space analysis, determining corresponding supervision departments of each grid region by combining the regional division data of the supervision departments; storing a preset event list and administrative division data; the preset event list comprises a plurality of classes corresponding to various events and a plurality of keywords;
the event acquisition module is used for acquiring event data;
an event triage module configured to perform the steps of:
determining the service type and the belonging grid area of the event according to the comprehensive description information and the position information of the urban event;
and determining a corresponding service department and a supervision department according to the service type of the event and the grid area to which the event belongs.
The event distribution module determines the service type of the event and comprises the following steps:
segmenting words of the comprehensive description information of the urban events, and identifying the event description segmentation words;
and matching the event description participle with key words of various events in a preset event list, and determining the service type of the event. Specifically, matching the event description participles with a plurality of keywords corresponding to various events in a preset event list, and scoring according to the number of the keywords which are successfully matched; and obtaining the corresponding service type if the fraction exceeds the set threshold value.
And the event distribution module also determines the hierarchy of the event according to the comprehensive description information and the position information of the urban event.
The server allocation management module also stores the corresponding contact information of each business department and supervision department, and the contact information can be the contact information of a responsible person, the equipment information of the contact person, the email address and the like, and is not limited herein;
and after determining the affiliated hierarchy, the business department and the affiliated supervision department of the event, the event distribution module pushes the event to the corresponding business department according to the corresponding contact way, and after receiving feedback information of the business department about the event, pushes the event and the feedback information to the supervision department so as to evaluate the event.
The administrative divisions of cities, the distribution of the management areas of the business departments of the businesses of the cities, and the distribution of the management areas of the supervision departments are not always in one-to-one correspondence. The urban area is divided into grids, and based on a GIS space analysis method, the distribution of the divided grid areas, the distribution of the management areas of business departments and the distribution of the management areas of monitoring departments are superposed and analyzed, so that the business departments and the monitoring departments corresponding to each grid area are obtained, and the urban event management based on the unified grid is realized. As shown in fig. 3, the GIS determination is performed by using a unified set of coordinate systems, reserving GIS grid divisions of the original service grids, using a point-surface relationship query function in the GIS layer, obtaining corresponding service processing personnel information of the service grids according to the GIS coordinates of the event, and obtaining corresponding organization responsible personnel information of the monitoring department grids according to the GIS coordinates of the event.
Similarly, taking the above "sewage manhole cover overflow" event as an example, after the service type to which the event belongs is acquired as an "urban management" type, the processing department should query according to the management distribution data of the urban management service department, then determine that the level to which the event belongs is an urban street according to the coordinate information acquired by the event background in combination with the address information in the event description, locate the processing grid area of the event on the urban management grid as a "CG 003" grid according to the event occurrence coordinates (x, y) in combination with the determination function of the GIS, query the responsible person and information of the urban management service department of the girder, and submit the event to the urban management responsible person for handling by using the workflow engine. Meanwhile, according to the occurrence coordinates (x, y) of the event, a decision function of a GIS is combined, a responsible supervision department of the event is positioned to be 'DZB 001' on supervision department management distribution data, the event is submitted to a responsible person of the 'DZB 001' supervision department by a workflow engine to be supervised, the supervision department supervises the processing process of the event in the whole process through a task monitoring mechanism of the workflow engine, information is pushed to the supervision department when the processing state of the event changes, the latest processing progress of the event is convenient to track, and after the event is processed, the supervision department can evaluate the event.
The method comprises the steps that the level of an event is determined by a positioning means combining GIS positioning and address description information, so that professional departments of a business are clearly processed, a supervision department corresponding to the position of the event is determined in the same way, the event processing workflow engine pushes the event to the professional departments for processing, the processing process is tracked by the supervision departments, the professional departments inform a distribution center after processing the event, and the center informs an information collector and a supervisor to evaluate the event, so that the event processing is completed.
And performing GIS layer positioning and multi-layer fusion analysis processing through event list matching and address matching, and finally determining a professional department and a supervision department for event processing. The event distribution function is extended, and distribution of a business department and distribution of a supervision department can be realized.
Those skilled in the art will appreciate that the modules or steps of the present invention described above can be implemented using general purpose computer means, or alternatively, they can be implemented using program code that is executable by computing means, such that they are stored in memory means for execution by the computing means, or they are separately fabricated into individual integrated circuit modules, or multiple modules or steps of them are fabricated into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.

Claims (10)

1. A city event allocation method based on NLP and GIS is characterized in that the city is divided into a plurality of grid areas in advance; based on GIS space analysis, determining the corresponding business department and supervision department of each grid area by combining the business department area division data and the supervision department area division data; the event distribution method comprises the following steps:
acquiring urban event data, wherein the event data comprises event comprehensive description information and position information;
determining the service type and the belonging grid area of the event according to the comprehensive description information and the position information of the urban event;
and determining a corresponding service department and a supervision department according to the service type of the event and the grid area to which the event belongs.
2. The NLP and GIS based urban event dissemination method according to claim 1, wherein determining the traffic type of said event comprises:
segmenting words of the comprehensive description information of the urban events, and identifying the event description segmentation words;
matching the event description participle with keywords of various events in a preset event list, and determining the service type of the event; the preset event list comprises a plurality of classes corresponding to various events and a plurality of keywords.
3. The NLP and GIS based civic event dissemination method of claim 2, wherein determining the traffic type of said event comprises:
matching the event description participles with a plurality of keywords corresponding to various events in a preset event list, and scoring according to the number of the keywords which are successfully matched;
and obtaining the corresponding service type if the fraction exceeds the set threshold value.
4. The NLP and GIS-based urban event triage method according to claim 1, wherein the level to which the event belongs is further determined according to the comprehensive description information and location information of the urban event.
5. The NLP and GIS based urban event triage method of claim 4, wherein determining the hierarchy to which the event belongs comprises:
segmenting words of the comprehensive description information of the urban event, and identifying position description segmentation words in the comprehensive description information;
and determining the administrative level according to the position description word segmentation and combining position information.
6. An urban event allocation system based on NLP and GIS is characterized by comprising a mobile terminal and a server;
the mobile terminal is used for acquiring event data and sending the event data to the server, wherein the event data comprises event comprehensive description information and position information;
the server configured to include:
the allocation management module is used for storing the divided data of the urban grid region; based on GIS space analysis, determining the corresponding business department and supervision department of each grid area by combining the business department area division data and the supervision department area division data;
the event acquisition module is used for acquiring event data;
the event distribution module is used for determining the service type and the grid area to which the event belongs according to the comprehensive description information and the position information of the urban event; and determining a corresponding service department and a supervision department according to the service type of the event and the grid area to which the event belongs.
7. The NLP and GIS based urban event triage system of claim 6, wherein the triage management module further stores a preset event list, wherein the preset event list comprises a plurality of keywords and a plurality of multi-level classifications corresponding to each type of event;
the event distribution module determines the service type of the event and comprises the following steps:
segmenting words of the comprehensive description information of the urban events, and identifying the event description segmentation words;
and matching the event description participle with key words of various events in a preset event list, and determining the service type of the event.
8. The NLP and GIS based urban event distribution system according to claim 7, wherein determining the traffic type of the event comprises:
matching the event description participles with a plurality of keywords corresponding to various events in a preset event list, and scoring according to the number of the keywords which are successfully matched;
and obtaining the corresponding service type if the fraction exceeds the set threshold value.
9. The NLP and GIS based urban event triage system of claim 6, wherein the triage management module further stores administrative division data.
And the event distribution module also determines the hierarchy of the event according to the comprehensive description information and the position information of the urban event.
10. The NLP and GIS based urban event triage system of claim 9, wherein determining a hierarchy to which an event belongs comprises:
segmenting words of the comprehensive description information of the urban event, and identifying position description segmentation words in the comprehensive description information;
and determining the administrative level according to the position description word segmentation and combining position information.
CN202210108230.4A 2022-01-28 2022-01-28 NLP and GIS based urban event allocation method and system Pending CN114446287A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115170053A (en) * 2022-05-24 2022-10-11 中睿信数字技术有限公司 Event distribution processing system based on cluster fusion
CN115203361A (en) * 2022-06-13 2022-10-18 华院计算技术(上海)股份有限公司 Event distribution method and device, storage medium and terminal

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115170053A (en) * 2022-05-24 2022-10-11 中睿信数字技术有限公司 Event distribution processing system based on cluster fusion
CN115203361A (en) * 2022-06-13 2022-10-18 华院计算技术(上海)股份有限公司 Event distribution method and device, storage medium and terminal
CN115203361B (en) * 2022-06-13 2024-04-02 华院计算技术(上海)股份有限公司 Event distribution method and device, storage medium and terminal

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