CN113609364A - POI point information retrieval method based on power grid big data - Google Patents

Abstract

The invention discloses a power grid big data-based POI point information retrieval method, which comprises the steps of carrying out region division on a GIS map region to obtain a plurality of map regions; carrying out grid division on the map area to obtain an area grid; establishing a network index according to the map area and the area grid; and determining an area grid corresponding to the target retrieval area according to the network index and the target retrieval area, and performing POI retrieval in the corresponding area grid to obtain a POI retrieval result. According to the invention, through carrying out grid division and establishing the network index, the POI is quickly retrieved, the retrieval efficiency is effectively improved, and further the working efficiency of workers can be greatly improved.

Description

POI point information retrieval method based on power grid big data

Technical Field

The invention relates to the technical field of power grid data processing, in particular to a power grid big data-based POI point information retrieval method.

Background

The GIS map includes a large number of POIs (points of Interest), such as shops, malls, parking lots, hotels, etc. In the big data of the power grid, the POI of the power grid facility in the required area is required to be searched for the staff frequently, so that the staff can know the position of the power grid facility conveniently, but the current POI searching efficiency is low, and the working efficiency is low.

Disclosure of Invention

The invention mainly aims to provide a power grid big data-based POI point information retrieval method, and aims to solve the technical problem of low retrieval efficiency.

In order to achieve the above object, a first aspect of the embodiments of the present application provides a method for retrieving POI point information based on grid big data, where the method for retrieving the POI point information based on the grid big data includes the following steps:

carrying out area division on a GIS map area to obtain a plurality of map areas;

carrying out grid division on the map area to obtain an area grid;

establishing a network index according to the map area and the area grid;

and determining an area grid corresponding to the target retrieval area according to the network index and the target retrieval area, and performing POI retrieval in the corresponding area grid to obtain a POI retrieval result.

In an implementation manner of the first aspect, the performing mesh division on the map area to obtain an area mesh specifically includes:

carrying out grid division on the map area to obtain a plurality of rectangular grids with the same size;

numbering the rectangular grids to obtain grid numbers;

and obtaining the area grids according to the rectangular grids and the grid numbers.

In an implementation manner of the first aspect, the establishing a network index according to the map area and the area grid specifically includes:

counting POIs in each area grid to obtain the corresponding relation between each POI and the area grid;

and generating a network index according to the corresponding relation between the map area and the area grid and the corresponding relation between each POI and the area grid.

In an embodiment of the first aspect, the method further comprises:

retrieving a corresponding area grid according to the network index and the target POI;

and according to the corresponding area grids, carrying out POI retrieval on the target POI within a preset range to obtain a retrieval result near the POI.

In an embodiment of the first aspect, the method further comprises:

acquiring a current position, and retrieving to obtain a corresponding area grid according to the current position and the network index;

and searching POI in a preset range of the current position according to the corresponding area grid to obtain a search result near the POI.

In an embodiment of the first aspect, the method further comprises:

according to the POI retrieval result, POI data corresponding to the POI retrieval result are obtained;

obtaining the geographic position of the POI according to the POI data;

and acquiring and displaying a corresponding position image and a position video according to the geographic position.

The scheme of the invention at least comprises the following beneficial effects:

according to the method for searching the POI point information based on the power grid big data, the POI is quickly searched by carrying out grid division and establishing the network index, the searching efficiency is effectively improved, and the working efficiency of workers can be greatly improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a flowchart illustrating steps of a power grid big data-based POI point information retrieval method according to the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that all the directional indicators (such as up, down, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.

In addition, the descriptions related to "first", "second", etc. in the present invention are only for descriptive purposes and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.

In the present invention, unless otherwise expressly stated or limited, the terms "connected," "secured," and the like are to be construed broadly, and for example, "secured" may be a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.

In addition, the technical solutions in the embodiments of the present invention may be combined with each other, but it must be based on the realization of those skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination of technical solutions should not be considered to exist, and is not within the protection scope of the present invention.

The power grid big data-based POI point information retrieval method provided by the embodiment of the application can be applied to a GIS system and can also be applied to other electronic map systems or APPs.

Referring to fig. 1, an embodiment of the present application provides a method for retrieving POI point information based on grid big data, where the method for retrieving POI point information based on grid big data includes the following steps:

s1, carrying out area division on the GIS map area to obtain a plurality of map areas;

s2, carrying out grid division on the map area to obtain area grids;

s3, establishing a network index according to the map area and the area grid;

and S4, determining an area grid corresponding to the target retrieval area according to the network index and the target retrieval area, and performing POI retrieval in the corresponding area grid to obtain a POI retrieval result.

In the embodiment, through grid division and network index establishment, the data volume needing to participate in operation can be effectively reduced during POI retrieval, the retrieval efficiency can be greatly improved, the resource consumption is reduced, and the response time for returning the retrieval result is shortened.

In this embodiment, the target retrieval area selected by the user may be a circle or a rectangle, or may be an irregular area. In this embodiment, according to the network index, a map area corresponding to the target retrieval area can be found, and an area grid can be further found, and then a POI in the area grid can be found according to the area grid, so as to obtain a POI retrieval result.

In an embodiment, the grid division of the map area to obtain an area grid specifically includes:

s21, carrying out grid division on the map area to obtain a plurality of rectangular grids with the same size;

s22, numbering the rectangular grids to obtain grid numbers;

and S23, obtaining the area grids according to the rectangular grids and the grid numbers.

In an embodiment, the establishing a network index according to the map area and the area grid specifically includes:

s31, counting POIs in each area grid to obtain the corresponding relation between each POI and the area grid;

and S32, generating a network index according to the corresponding relation between the map area and the area grid and the corresponding relation between each POI and the area grid.

In one embodiment, the method further comprises:

retrieving a corresponding area grid according to the network index and the target POI;

and according to the corresponding area grids, carrying out POI retrieval on the target POI within a preset range to obtain a retrieval result near the POI.

In this embodiment, a single target POI is searched, and POIs near the target POI are searched, so that a worker can know the conditions of the nearby POIs in time.

In one embodiment, the method further comprises:

acquiring a current position, and retrieving to obtain a corresponding area grid according to the current position and the network index;

and searching POI in a preset range of the current position according to the corresponding area grid to obtain a search result near the POI.

In the embodiment, the POI of the nearby area can be automatically retrieved according to the current position of the user, and the working personnel can conveniently check the POI of the nearby power grid facility.

In one embodiment, the method further comprises:

according to the POI retrieval result, POI data corresponding to the POI retrieval result are obtained;

obtaining the geographic position of the POI according to the POI data;

and acquiring and displaying a corresponding position image and a position video according to the geographic position.

In this embodiment, the position image and the position video of the geographic position can be acquired according to the POI data in the POI retrieval result, so that the situation of the site can be known remotely.

According to the invention, the POI is quickly retrieved by carrying out grid division and establishing the network index, so that the retrieval efficiency is effectively improved, and the working efficiency of workers can be greatly improved.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity/action/object from another entity/action/object without necessarily requiring or implying any actual such relationship or order between such entities/actions/objects; the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.

For the apparatus embodiment, since it is substantially similar to the method embodiment, it is described relatively simply, and reference may be made to some descriptions of the method embodiment for relevant points. The above-described apparatus embodiments are merely illustrative, in that elements described as separate components may or may not be physically separate. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the invention. One of ordinary skill in the art can understand and implement it without inventive effort.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (6)

1. A power grid big data-based POI point information retrieval method is characterized by comprising the following steps:

carrying out area division on a GIS map area to obtain a plurality of map areas;

carrying out grid division on the map area to obtain an area grid;

establishing a network index according to the map area and the area grid;

and determining an area grid corresponding to the target retrieval area according to the network index and the target retrieval area, and performing POI retrieval in the corresponding area grid to obtain a POI retrieval result.

2. The grid big data POI point information retrieval method based on claim 1, wherein the grid division is performed on the map area to obtain an area grid, and the method specifically comprises the following steps:

carrying out grid division on the map area to obtain a plurality of rectangular grids with the same size;

numbering the rectangular grids to obtain grid numbers;

and obtaining the area grids according to the rectangular grids and the grid numbers.

3. The method for retrieving the power grid big data-based POI (point of interest) information according to claim 1, wherein the establishing of the network index according to the map area and the area grid specifically comprises: counting POIs in each area grid to obtain the corresponding relation between each POI and the area grid;

and generating a network index according to the corresponding relation between the map area and the area grid and the corresponding relation between each POI and the area grid.

4. The power grid big data-based POI point information retrieval method according to claim 1, further comprising:

retrieving a corresponding area grid according to the network index and the target POI;

and according to the corresponding area grids, carrying out POI retrieval on the target POI within a preset range to obtain a retrieval result near the POI.

5. The power grid big data-based POI point information retrieval method according to claim 1, further comprising:

acquiring a current position, and retrieving to obtain a corresponding area grid according to the current position and the network index;

and searching POI in a preset range of the current position according to the corresponding area grid to obtain a search result near the POI.

6. The power grid big data-based POI point information retrieval method according to claim 1, further comprising:

according to the POI retrieval result, POI data corresponding to the POI retrieval result are obtained;

obtaining the geographic position of the POI according to the POI data;

and acquiring and displaying a corresponding position image and a position video according to the geographic position.

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