CN109902394A - A kind of network modeling method based on user's block information - Google Patents

Abstract

The present invention provides a kind of network modeling method based on user's block information, by building the connection relationship between user and equipment, to quickly by user information correlation into network, it includes the acquisition to device data, user data, analysis, modeling, the connection between equipment and/or between equipment and user is provided according to pre-defined rule, user's bounds are acquired, quickly judge faulty equipment and coverage by marking.The present invention solves the technical issues of subsequent manual typing user information is needed in network modelling, greatly reduces the workload of artificial addition user information, improves the efficiency that network simulation model is established.

Description

A kind of network modeling method based on user's block information

Technical field

The present invention relates to network modelling technology more particularly to a kind of network modeling methods based on user's block information.

Background technique

As the technologies such as Computing, network communication, machine vision develop, set in a network by vision facilities Standby data collection, establishes device model using network communication, realizes that smart city network modelling is in recent years by computer program Carry out fast-developing one of project.Currently, the focus of network modelling is developed to from single body modeling to the big of network Scale scene modeling, prior art almost all concentrate in the modeling of the planning and designing of City Building and road.However it is right In a complete network modelling, information of terminal user is especially automatically associated in network of network to there are still certain tired It is difficult.

Number of patent application is CN201810131136.4, entitled " a kind of modeling and analysis methods based on geography target " Domestic patent 1 discloses a kind of modeling and analysis methods based on geography target, passes through mobile client locality upper node position Confidence breath, classifies to equipment according to scheduled rule, shows node location on the electronic map and carry out the network of equipment The foundation of model.When analyzing scope of power outage, by Topology connection of the variation to each node for switching connected state in network Relationship is analyzed, and source side substation supply node equipment is analyzed, and analyzes power failure model from the superior and the subordinate's destination node topological relation It encloses.However, the node topology connects the supply district between only analytical equipment, user's shadow can not be directly known in modeling Range is rung, customer interrupted range needs in advance by user information craft typing to modeling.It can be seen that domestic patent 1 is not It can complete to be related to the complete network modelling of user information correlation.

Number of patent application is CN201810863931.2, entitled " the device network modeling method based on separate space " Domestic patent 2 and number of patent application are CN201810863942.0, a kind of entitled " device network modeling side based on drawing The domestic patent 3 of method ", above-mentioned two pieces patent carry out network under special enclosed environment or using special tool(s)s such as municipal drawings Modeling, however it is identical as domestic patent 1, and above-mentioned two pieces country patent carries out equipment modeling on underground, paper respectively, not yet Realize the final connection of user information and pipe network equipment, it is still necessary to the subsequent manual typing for carrying out user information.Above-mentioned three specially The foundation of device emulation network is rapidly completed by the existing equipment of identification for benefit, but in real life, end user device institute The user information of control is not intuitively can be collected, in existing smart city modeling scheme, due to needing subsequent progress The manual entry of user information and that there are labor workloads is huge, modeling efficiency is low, can not intuitive judgment faulty equipment bring Customer impact range can not inform user malfunction reason etc. in time.

Summary of the invention

In order to solve the above technical problem, the present invention provides a kind of network modeling methods based on user's block information, will User information auto-associating quickly identifies equipment to the coverage of user comprising following steps into network modelling system:

Step S100: user data is obtained, by the user data upload to cloud electronic map, wherein the user Data include the bounds of user position；

Step S200: identifying the user data, identifies user type according to the user data；

Step S300: cloud electronic map establishes user model according to user property；Wherein, the user property includes institute State user type, user location, user boundary；

Step S400: acquisition device data, the device data is uploaded to cloud electronic map, and is built according to device attribute Vertical device model；Wherein, the device attribute includes device type, device location.

Step S500: presetting equipment and the concatenate rule of user, according to the category of the device model and user model Property complete network modelling.

Preferably, further include following steps in the step S100:

Step S101: user's bounds are obtained by numerical map；And/or

Step S102: Image Segmentation is carried out to Aerial Images, obtains user's bounds；

Preferably, further include following steps in the step S200:

Step S201: crawl user's name keyword is matched with pre-set key word library, according to matching result Carry out the identification of the user type and classification.

Preferably, further include following steps in the step S400:

Step S401: the mobile terminal by having GPS function carries out the number of devices along line direction along road both sides According to acquisition, acquisition data are uploaded to cloud electronic map.

Preferably, the device data is that the still image acquired using image acquisition units and/or dynamic video are carried out The acquisition of device data.

Preferably, further include following steps in the step S400:

Step S402: device data is directly obtained by numerical map, and by the geographical location where device data, equipment Type is uploaded to cloud electronic map.

In order to solve the above-mentioned technical problem, the present invention also provides a kind of recognition methods of faulty equipment coverage, packets Equipment and the network modelling of user are included, the network modelling uses the network modeling method of above-mentioned record, further comprising the steps of:

Step S1000: faulty equipment number is received；

Step S2000: the faulty equipment is positioned in network model；

Step S3000: identification coverage, the coverage pass through label display.

Preferably, further include following steps in the step S3000:

Step S3001: coverage caused by different faults equipment is shown by corresponding label.

In order to solve the above-mentioned technical problem, a kind of another technical solution used in the present invention are as follows: computer-readable storage Medium is stored thereon with computer program, which is characterized in that the computer program realizes the above method when being executed by processor The step of.

It can be seen that network modeling method provided by the invention, passes through obtain user information first, beyond the clouds electronic map Upper carry out user modeling, when user equipment is acquired, cloud electronic map real-time update completes the complete of equipment and user The step of modeling, reduction manual entry user data, solves municipal equipment that is seeing and can't see and connects to user information The problem of connecing makes on electronic map the user's name in plot associated with municipal equipment, can quickly be automatically associated to user In artificial network, to achieve the effect that reduce human cost.

According to the technical solution of above-mentioned offer, the invention has the following advantages:

1, the step of preparatory identification and typing user data, reduction subsequent artefacts' typing user data；

2, user's bounds are not necessarily to manual entry by numerical map, data acquisition of taking photo by plane；

3, user data includes user boundary, quickly identifies coverage；

4, equal energy under any environment is guaranteed using image recognition and numerical map function acquisition equipment and user information simultaneously Meet data acquisition；

5, by carrying out matching run-length data identification to key word library, quickly judge type；

6, fault coverage and equipment are shown by correspondence markings, quick, intuitive judgment failure influences；

7, the concatenate rule for pre-defining user and equipment, is automatically performed wisdom network modelling；

8, it is applicable in the connection of pipe network equipment and user in any municipal works, meets different occasion demands；

9, can be used in City Modeling method, the smart city model of building.

It can be seen that the present invention is on the equipment pipe network for quickly access user information periphery, realization is automatically performed complete Wisdom network simulation network foundation, while quickly judging that equipment fault range provides data basis for technical staff.

Detailed description of the invention

The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, not Inappropriate limitation of the present invention is constituted, in the accompanying drawings:

Fig. 1 is inventive network modeling procedure schematic diagram；

Fig. 2 is to obtain user's interval range schematic diagram by numerical map；

Fig. 3 is to obtain user's interval range schematic diagram by image algorithm；

Fig. 4 is that inventive network models effect diagram；

Fig. 5 is present device and user modeling effect diagram.

Specific embodiment

In order to more fully understand technology contents of the invention, below in conjunction with attached drawing and specific embodiment to the present invention It is described further and illustrates.

Embodiment 1

Attached drawing 1-5 is please referred to, the present embodiment is a kind of network modeling method based on user's block information, the network modelling Method is for user's interval range to be added in network modelling.The modeling method includes the following steps:

Step S100: user data is obtained, by user data upload to cloud electronic map, wherein the user data Bounds including user position；

At this stage, there are many method for obtaining user data, ground, underground and the figure as described in domestic patent of invention 1-3 The various ways such as paper obtain user data, and directly acquire user data etc. by domestic Duo Jia numerical map provider.This User data is directed into cloud electronic map by obtaining user data by invention, establishes data basis for network modelling.

The bounds for obtaining user position in the present invention take following steps:

Step S101: user's bounds are obtained by numerical map；

As shown in Fig. 2, the position where user is not only obtained by numerical map provider, also obtains the user boundary Range is conducive to influence of the analytical equipment to user scope in subsequent network modeling, so that technical staff be assisted quickly to judge Equipment fault bring coverage.

Step S102: Image Segmentation is carried out to Aerial Images, obtains user's bounds；

As shown in Fig. 3, by unmanned plane to taking photo by plane in geographic coverage, the Aerial Images that will acquire utilize image point It cuts algorithm and obtains bounds, establish data basis for network modelling.

Step S200: identifying the user data, identifies user type according to the user data；

By taking power equipment is powered as an example, need to be identified user type simultaneously before modeling according to the difference of electricity needs Classification.As shown in Fig. 4, there is different user types, such as " so-and-so university ", " so-and-so mansion ", in actual conditions on map In, electricity consumption user further includes " so-and-so cell ", " so-and-so market ", " so-and-so factory " etc..According to electricity rules, different user types Power demand be different, but general user's data only provide particular user title, relative users can not be carried out identification and Classification.

User type is identified and is classified in the present invention and takes following steps:

Step S201: using user's name keyword as feature, user's name keyword is grabbed, with pre-set key Character library is matched, and identification and the classification of the user type are carried out according to matching result.

User's name is varied under normal circumstances, by taking the user of power equipment as an example, including " factory ", " shop ", " small Area ", " substation " etc. are matched with pre-set key word library by the keyword in crawl user's name, pass through meter It calculates program to feed back matching, is that modeling can be according to difference so that modeling be allowed to identify the type of relative users Type is attached offer basis to adjacent power equipment.In addition, the user of same type includes a variety of key characteristics, such as with For housing type, " so-and-so cell ", " so-and-so garden ", " so-and-so occupies " etc. are related to the special name that developer plays certain house plot Claim, therefore synonym, near synonym, special name periodically are carried out to the key characteristics in key word library and extended, to guarantee type The accuracy of identification.

Step S300: cloud electronic map establishes user model according to user property；Wherein, the user property includes using Family type, user location, user boundary.

It as shown in Fig. 4, is one of displaying example of user model on the electronic map of cloud, it is wherein geographical where Y1 Position indicates first community, and the position Y1 ' indicates second community, and the position Y3 indicates that shop, the position Y4 indicate work Factory would know that each user's bounds, bounds indicate by a dotted line by step S101 or step S102.In addition, passing through Step S201 knows that first community and second community belong to residential customer type, therefore is indicated with same type Y1.Thus As it can be seen that attached drawing 5 establishes the user model including user property on electronic map beyond the clouds, the user property is in place for user institute It sets, type and bounds.

Step S400: acquisition device data, the device data is uploaded to cloud electronic map, and is built according to device attribute Vertical device model；Wherein, the device attribute includes device type, device location.

Wherein device data acquisition means include at least two ways:

Step S401: the mobile terminal by having GPS function carries out device data acquisition, the device data along road For using the still image and/or dynamic video of image acquisition units acquisition, above equipment data are uploaded to cloud electronically Figure；

Step S402: device data is directly obtained by numerical map, and by the geographical location where device data, equipment Type is uploaded to cloud electronic map.

Above-mentioned steps S401 can Quick Acquisition road both sides equipment pass through and according to GPS functional localization device location Obtain and identify that equipment resemblance, nameplate data etc. know device type, the disadvantage is that needing staff or machine along road Direction is acquired, and the data such as image, video need subsequent image processing software to be identified, image, the video of acquisition are No clearly to will affect the identification of device type, whether equipment and user information positioning are accurate also by network signal, GPS when acquisition The limitation such as modular algorithm.Label of the step S402 according to numerical map, energy quick obtaining facility information, the disadvantage is that essence can not be obtained True, comprehensive data, such as device data is not recorded in electronic map or the numerical map updates limitation not in time.Cause This, those skilled in the art can take the data of means acquisition alone or in combination according to practical matter, to meet network modelling The demand of data acquisition.In addition, those skilled in the art can also carry out data acquisition according to other existing means, it is such as domestic The acquisition for carrying out device data and user data shown in patent 2,3 from underground, enclosure space and drawing, is not limited solely to above-mentioned The acquisition means of record.

Step S500: equipment and the concatenate rule of user are preset, the device model and user model are according to Concatenate rule completes network modelling.

By taking grid equipment as an example, attached drawing 5 is please referred to, switchgear E1, E2 and transformer E3 are acquired along electric wire E0, except special Situations such as equipment, special power supply, general using conventional concatenate rule, i.e., with residential area Y1, Y1 ', shop Y3 and factory Y4 be Example, factory Y4 belong to dedicated transformer user, and power supply is from neighbouring switch E1；Shop Y3 belongs to the small use of 220/380V power supply Family, power supply is from neighbouring common transformer E3；Residential area Y1, Y1 ' transformer it is different from the service condition of factory Y4, Residential area Y1, Y1 ' transformer in Intra-cell, power supply in neighbouring switch, i.e. residential area Y1 transformer with Neighbouring switch E1 connection, residential area Y2 are connect with neighbouring switch E2.

As shown in Fig. 5, when being acquired by step S401 to device data, those skilled in the art are along electric wire E0 carries out the acquisition of device data, when technical staff or machine arrive when reaching switchgear E1 along road, record switchgear E1 Position, the still image of switchgear E1 or dynamic video are uploaded to cloud electronic map, known by image recognition algorithm The type of other equipment E1, i.e. switchgear, according to predetermined concatenate rule by the user near switchgear E1, that is, residential area Y1, Factory Y4 is attached, the bounds that then quick identification switch equipment E1 influences residential area Y1 and factory Y4, such as The region A1 in attached drawing 5, in this way, technical staff or machine continue to advance along electric wire E0, by residential area Y1 ' and switchgear E2 into Row connection, shop Y3 and common transformer E3 are attached, and every primary equipment and the connection of user completed is at once electric beyond the clouds Equipment, user and the coverage of user are subjected to model foundation in sub- map, technical staff or machine pass through intelligent terminal It is connect with cloud map, even if the coverage of equipment where obtaining, thus completes the network modelling system modeled when walking.Value It is noted that the present invention can also Direct Recognition device type in the terminal, using device type, device location as equipment Data are uploaded to cloud electronic map, are only the adaptation that those skilled in the art make the present embodiment.

It can be seen that being quickly connected equipment and user in conjunction with preset concatenate rule, equipment is to user's Coverage is directly known in network modelling, and technical staff is facilitated quickly to judge that equipment fault influences model to user's bring It encloses.

The above-mentioned scheduled concatenate rule of power equipment is only the conventional concatenate rule in power network modeling, those skilled in the art Adaptation can be carried out to concatenate rule as the case may be, in addition, according to specific application environment, above-mentioned predetermined concatenate rule Other city planting ductwork equipment can be directed to, such as tap water, sewage network equipment, natural gas grid equipment concatenate rule are set in advance It is fixed, so that different pipe network equipments are attached with user information.

Embodiment 2

The present embodiment is a kind of recognition methods of faulty equipment coverage comprising the network modelling of equipment and user, The network modelling uses above-mentioned network modeling method, further comprising the steps of:

Step S1000: faulty equipment number is received；

Step S2000: the faulty equipment is positioned in network model；

Step S3000: identification coverage, the coverage pass through label display.

As shown in Fig. 5, network model is formed on electronic map beyond the clouds, the user that wherein equipment E1 influences is that resident is small The user scope of area Y1 and factory Y4, residential area Y1 and factory Y4 are shown with the region A1, are so analogized, the residence that equipment E2 influences The user scope of people's cell Y1 ' shows that the user that common transformer E3 influences is the interval range A3 of shop Y3 with the region A2 Region indicates.

Wherein, it when equipment breaks down, if common transformer E3 breaks down, receives on the electronic map of cloud from public affairs The signal of co-variation depressor E3 failure, and position in network model the abort situation of common transformer E3, while the quotient being affected Shop Y3 user, coverage by label display, the label can it is a variety of it is different indicate, such as red flashing marks, to add Strong judgement of the staff to fault incidence.

Wherein, for the identification of coverage, further includes:

Step S3001: coverage caused by different faults equipment is shown by corresponding label.

There are switch E1, switch E2, common transformer E3 on electric wire E0 as shown in Figure 5, electric power is conveyed along route, as switch E1 When failure or there are two kinds of situations, (1) only influences user residential area Y1, factory Y4；(2) power Transmission is broken from E1 It opens, power switch E2, common transformer E3 is caused to be affected, then influence residential area Y1 ' and shop Y3, it can be seen that, Device fault information, which is quickly provided, by different labels is beneficial to understanding of the user to power failure.

For example, the above-mentioned region A3 indicates coverage with the first label, and will affect model when common transformer E3 failure Data-pushing is enclosed to power failure system, and the user of coverage where system notifies automatically according to range data simultaneously informs specific Faulty equipment, if switch E1 failure and influencing switch E2, common transformer E3, all affecteds area including the above-mentioned region A3 Domain will mark the coverage data-pushing that indicate, and second is marked to power failure system be different from the first label second System, system notifies the user of all coverages automatically according to range data and informs specific faulty equipment, accordingly, for identical Shop Y3, specific fault identification can by first label, second label etc. not isolabeling quickly identify that faulty equipment is brought Failure cause, and pushed automatically by system, improve fault identification efficiency.

It is provided for the embodiments of the invention technical solution above to be described in detail, specific case used herein The principle and embodiment of the embodiment of the present invention are expounded, the explanation of above embodiments is only applicable to help to understand this The principle of inventive embodiments；At the same time, for those skilled in the art, according to an embodiment of the present invention, in specific embodiment party There will be changes in formula and application range, in conclusion the contents of this specification are not to be construed as limiting the invention.

Claims (10)

1. a kind of network modeling method based on user's block information, which comprises the following steps:

Step S100: user data is obtained, by the user data upload to cloud electronic map, wherein the user data Bounds including user position；

Step S200: identifying the user data, identifies user type according to the user data；

Step S300: cloud electronic map establishes user model according to user property；Wherein, the user property includes the use Family type, user location, user boundary；

Step S400: acquisition device data, the device data is uploaded to cloud electronic map, and is set according to device attribute foundation Standby model；Wherein, the device attribute includes device type, device location；

Step S500: equipment and the concatenate rule of user are preset, the device model and the user model are according to Concatenate rule completes network modelling.

2. network modeling method as described in claim 1, it is characterised in that: further include walking as follows in the step S100 It is rapid:

Step S101: user's bounds are obtained by numerical map.

3. network modeling method as described in claim 1, it is characterised in that: further include walking as follows in the step S100 It is rapid:

Step S102: Image Segmentation is carried out to Aerial Images, obtains user's bounds.

4. the network modeling method as described in claim 1-3, it is characterised in that: further include as follows in the step S200 Step:

Step S201: crawl user's name keyword is matched with pre-set key word library, is carried out according to matching result The identification and classification of the user type.

5. network modeling method as described in claim 1, it is characterised in that: further include walking as follows in the step S400 It is rapid:

Step S401: the mobile terminal by having GPS function carries out device data acquisition along road, will be on the device data Reach cloud electronic map.

6. network modeling method as claimed in claim 5, it is characterised in that: the device data is to utilize image acquisition units The still image and/or dynamic video of acquisition.

7. network modeling method as described in claim 1, it is characterised in that: further include walking as follows in the step S400 It is rapid:

Step S402: device data is directly obtained by numerical map, and by the geographical location where the device data, equipment Type is uploaded to cloud electronic map.

8. a kind of recognition methods of faulty equipment coverage comprising the network modelling of equipment and user, the network modelling Using the network modeling method as described in claim 1-7, which is characterized in that further comprising the steps of:

Step S1000: faulty equipment number is received；

Step S2000: the faulty equipment is positioned in network model；

Step S3000: identification coverage, the coverage pass through label display.

9. recognition methods as claimed in claim 8, it is characterised in that: further include following steps in the step S3000:

Step S3001: coverage caused by different faults equipment is shown by corresponding label.

10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program The step of method described in any one of claims 1 to 7 is realized when being executed by processor.