CN109002633B - Device network modeling method based on separate space - Google Patents
Device network modeling method based on separate space Download PDFInfo
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- CN109002633B CN109002633B CN201810863931.2A CN201810863931A CN109002633B CN 109002633 B CN109002633 B CN 109002633B CN 201810863931 A CN201810863931 A CN 201810863931A CN 109002633 B CN109002633 B CN 109002633B
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Abstract
This disclosure relates to technical field of data processing, and in particular to a kind of device network modeling method based on separate space, a kind of storage medium and a kind of electric terminal.The described method includes: receiving a multimedia messages；It identifies the target to be identified in the multimedia messages and extracts the attribute information of the target to be identified；Using the target to be identified as node, and networking is carried out to the node to obtain device network model according to the attribute information of the target to be identified and default concatenate rule.The disclosure is by identifying equipment and/or route in space using multimedia messages, and the target that will identify that is as node, to establish complete device network model.Meanwhile, it is capable to establish the background model of separate space according to multimedia messages, and obtain relevant location information.
Description
Technical field
This disclosure relates to field of computer technology, and in particular to a kind of device network modeling method based on separate space,
A kind of storage medium and a kind of electric terminal.
Background technique
With the fast development of urban informationization, to meet daily life demand, begin to use in city more and more
Pipe network equipment.Particularly in the relatively independent spaces such as underground pipe gallery, building vertical shaft and unmanned factory, will be installed
Equipment and route including multiple fields such as forceful electric power, light current, natural gas, waterpower, heating power or communications；Inner space is limited, but sets
Standby many kinds of, line alignment is complicated.
Currently, needing to check piping lane or vertical shaft due to lacking effective management means to the equipment in pipe network and pipe network
In equipment or route need to assess to other equipment or route or when security risk or failure occurs in some equipment
When influence and fault incidence, the prior art is only capable of judging equipment working state through the way of manual viewing；Or only
It can think to judge possible coverage by the drawing of certain a kind of equipment or route, it can not be to the whole in pipe gallery or vertical shaft
Equipment carries out unified management and checks.
It should be noted that information is only used for reinforcing the reason to the background of the disclosure disclosed in above-mentioned background technology part
Solution, therefore may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Summary of the invention
The disclosure be designed to provide a kind of device network modeling method based on separate space, a kind of storage medium with
And a kind of electric terminal, and then overcome caused by the limitation and defect due to the relevant technologies at least to a certain extent one or
The multiple problems of person.
Other characteristics and advantages of the disclosure will be apparent from by the following detailed description, or partially by the disclosure
Practice and acquistion.
According to the disclosure in a first aspect, providing a kind of device network modeling method based on separate space, comprising:
Receive a multimedia messages；
It identifies the target to be identified in the multimedia messages and extracts the attribute information of the target to be identified；
Using the target to be identified as node, and according to the attribute information and default concatenate rule of the target to be identified
Networking is carried out to obtain device network model to the node.
In a kind of exemplary embodiment of the disclosure, the multi-medium data includes: image data or/and video counts
According to.
In a kind of exemplary embodiment of the disclosure, the target to be identified includes equipment and/or route；The identification
Target to be identified in the multimedia messages and attribute information for extracting the target to be identified includes:
Identify the equipment and/or route in the multimedia messages；
The equipment and/or route are compared with default device databases to obtain the equipment and/or route
Attribute information；
Wherein, the equipment, route attribute information include: model, classification, rank, identification information and status information
Any one of or any multinomial combination.
In a kind of exemplary embodiment of the disclosure, the method also includes:
The three-dimensional map model of the separate space is obtained based on SLAM algorithm according to the multimedia messages.
It is described using the target to be identified as node in a kind of exemplary embodiment of the disclosure, and according to it is described to
Identify that the attribute information of target and default concatenate rule carry out networking to the node to obtain device network model and include:
Classification is carried out to the target to be identified according to attribute information and as node；
The node of the same category is subjected to networking according to classification results；
Patrolling for each node in networking is obtained according to the attribute information of the target to be identified and the default concatenate rule
The relationship of collecting is to obtain device network model.
In a kind of exemplary embodiment of the disclosure, when receiving the multimedia messages, the method also includes:
Receive the corresponding location information of the multimedia messages；
The target to be identified is marked on the electronic map according to the positional information.
In a kind of exemplary embodiment of the disclosure, the method also includes:
The position of pipe gallery is carried out on the electronic map according to the corresponding location information of the multimedia messages
Label.
In a kind of exemplary embodiment of the disclosure, the method also includes:
The separate space includes: any one of vertical shaft, unmanned factory, cabin or cabin or any multinomial.
In a kind of exemplary embodiment of the disclosure, the method also includes:
Receive present multimedia information；
It identifies the target to be identified in the present multimedia information and extracts the attribute information of the target to be identified；
According to the attribute information and default concatenate rule of the target to be identified, using the target to be identified as node
And it is added to the device network model.
According to the second aspect of the disclosure, a kind of storage medium is provided, is stored thereon with computer program, described program quilt
Processor realizes the above-mentioned modeling method based on underground pipe gallery when executing.
According to the third aspect of the disclosure, a kind of storage medium is provided, is stored thereon with computer program, described program quilt
Processor realizes above-mentioned method when executing.
Device network modeling method based on separate space provided by a kind of embodiment of the disclosure, can pass through reception
Multimedia messages the target to be identified in space is identified, thus obtain separate space interior equipment and/or route letter
Breath.And networking can be carried out according to attribute information and preset rules, to establish the device network model of separate space, in turn
It is complete to obtain equipment room hair relationship and data.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The disclosure can be limited.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and together with specification for explaining the principles of this disclosure.It should be evident that the accompanying drawings in the following description is only the disclosure
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 schematically shows a kind of device network modeling method based on separate space in disclosure exemplary embodiment and shows
It is intended to；
Fig. 2 schematically shows a kind of operative scenario schematic diagram of underground pipe gallery in disclosure exemplary embodiment；
Fig. 3 schematically shows the operative scenario schematic diagram in disclosure exemplary embodiment in a kind of vertical shaft；
Fig. 4 schematically shows the operative scenario schematic diagram in disclosure exemplary embodiment in a kind of workshop；
Fig. 5 schematically shows a kind of power equipment network topology structure scape schematic diagram in disclosure exemplary embodiment；
Fig. 6 schematically shows the mark of a kind of underground pipe gallery on the electronic map in disclosure exemplary embodiment and shows
It is intended to；
Fig. 7 schematically shows a kind of device network model building device based on separate space in disclosure exemplary embodiment
A kind of schematic diagram；
Fig. 8 schematically shows a kind of device network model building device based on separate space in disclosure exemplary embodiment
Another schematic diagram.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be with a variety of shapes
Formula is implemented, and is not understood as limited to example set forth herein；On the contrary, thesing embodiments are provided so that the disclosure will more
Fully and completely, and by the design of example embodiment comprehensively it is communicated to those skilled in the art.Described feature, knot
Structure or characteristic can be incorporated in any suitable manner in one or more embodiments.
A kind of device network modeling method based on separate space, disclosure institute are provided firstly in this example embodiment
The separate space stated refer to it is relatively independent, there is certain function or purposes, and the space with a certain range or boundary, such as:
The relatively independent spaces such as underground pipe gallery, building vertical shaft, workshop and unmanned factory.This method can be used for independence
The model construction of equipment and route in space, and the background model of the separate space is established, it is the three-dimensional background based on generation
Modelling application under environment.Refering to what is shown in Fig. 1, the above-mentioned device network modeling method based on separate space may include:
Step S1 receives a multimedia messages；
Step S2 identifies the target to be identified in the multimedia messages and extracts the attribute letter of the target to be identified
Breath；
Step S3 using the target to be identified as node, and according to the attribute information of the target to be identified and is preset
Concatenate rule carries out networking to the node to obtain device network model.
Based on the device network modeling method in separate space provided by a kind of embodiment of the disclosure, by reception
Multimedia messages identified to obtain target to be identified, to obtain each device target or the line target in space.
Then using each device target and line target as node, and networking is carried out according to attribute information and preset concatenate rule, from
And obtain device network model.It, can be effectively to sky by identifying equipment and/or route in space using multimedia messages
Interior whole target to be identified is identified.By the target to be identified that will identify that as node, so as to obtain
Whole device network model, and can be realized the target that will identify that and be added in device network model immediately.
In the following, accompanying drawings and embodiments will be combined to model the device network based on separate space in this example embodiment
Each step is described in detail in method.
Step S1 receives a multimedia messages.
In this illustrative embodiment, specifically, a client and a server end, the server can be provided
End can be used for receiving the multimedia messages of client transmission.Wherein, which can be with video capture, collects function
Can, and position, the mobile robot of navigation feature, which can have more mesh cameras, and can be according to operation
Picture or video are moved along certain path and are shot in instruction, and the three-dimensional map of separate space can be established based on SLAM algorithm
Model, to obtain the panoramic picture in separate space.
For example, above-mentioned mobile robot can use crusing robot.Its SLAM algorithm used generally wraps
Include: visual odometry, rear end optimization, winding detect and build four parts of figure.Visual odometry is mainly responsible for estimation adjacent two
Movement and local map between frame visual pattern, including the technologies such as feature extraction and image registration.Winding detection, which is mainly responsible for, to be sentenced
Whether disconnected robot reached previous position, and the winding information that will test is supplied to rear end and is handled.Winding detection
Accuracy directly affect the accuracy of map structuring, if detect mistake winding, will lead to the map of generation error, shadow
Ring the positioning of robot.Specifically, SLAM algorithm can use LSD-SLAM algorithm, DSO algorithm, ORB SLAM algorithm, SVO
(semi-direct VO) algorithm, VSLAM algorithm or Visual-Inertial Odometry algorithm etc., the disclosure to this not
Do particular determination.
For example, while can be using based on ORB (Oriented FAST and Rotated BRIEF) characteristic point
Positioning and map structuring (simultaneous localization and mapping--SLAM) the method second edition (ORB_
SLAM2), continuous image sequence is acquired by more mesh cameras of client mobile robot first, then extracts front and back two
Then the ORB characteristic point of frame image is estimated camera posture according to the match condition of the ORB characteristic point of front and back two field pictures, is obtained
Obtain camera posture information；For each frame image, can be obtained according to the match condition of itself and the ORB characteristic point of previous frame image
Obtain the camera posture information of the frame image.It is established in separate space automatically by the camera posture information of acquired image sequence
Three-dimensional map model.
Alternatively, can also be obtained in separate space using VSLAM algorithm in other exemplary embodiments of the disclosure
Threedimensional model.Specifically, may include: to obtain the colour and depth map image set of environment using camera, then using FAST and
Point, line feature in LSD algorithm extraction color image, carry out the point and line feature of extraction using BRIEF algorithm, LBD algorithm
Description, and then obtain the description of feature.The feature of extraction is slightly matched first with BF algorithm, is obtained later using KNN algorithm more smart
True matching characteristic.Matched point is calculated using NICP algorithm, PnL algorithm and line segment feature obtains robot initial pose.?
Optimize robot pose under GTSAM figure Optimized model, obtains updated pose figure.Merge updated global pose figure and phase
The three-dimensional point for answering frame obtains final three-dimensional map.
One server end of above-mentioned offer can be used for receiving the multimedia messages from client, the multimedia letter
Breath may include: image data or/and video data.
Certainly, in other exemplary embodiments of the disclosure, separate space is established using SLAM algorithm for above-mentioned
Threedimensional model can also be completed in server end with the process for obtaining the panoramic picture in separate space.
The scene with reference to shown in Fig. 2 is provided with different equipment and route in underground pipe gallery in piping lane interior walls.
When client machine people enters the starting point in piping lane and in underground pipe gallery, it can start to acquire image and start automatic establish
The three-dimensional stereo model of underground pipe gallery.
In scene with reference to vertical shaft shown in Fig. 3, after client machine people enters vertical shaft, can current location be
The image of vertical shaft is put and start to acquire, and automatically begins to establish the three-dimensional of vertical shaft using SLAM algorithm according to the vertical shaft image of acquisition
Three-dimensional model.It, can be by the workshop of the unmanned factory where client machine people in scene with reference to unmanned factory shown in Fig. 4
Doorway is starting point, starts the acquisition of progress image and carries out the foundation of the three-dimensional stereo model of unmanned factory.
Step S2 identifies the target to be identified in the multimedia messages and extracts the attribute letter of the target to be identified
Breath.
In this illustrative embodiment, server end can lead to after receiving the multi-medium data from client
It crosses image recognition technology and image recognition is carried out to it, to identify and extract the target to be identified in multimedia messages.It is specific next
It says, the target to be identified may include equipment and/or route.
Specifically, above-mentioned step S2 may include:
Step S201 identifies equipment and/or route in the multimedia messages；
Step S202, the equipment and/or route are compared with default device databases with obtain the equipment and/
Or the attribute information of route.
Specifically, after the image for extracting the equipment in video or image, route by image recognition algorithm,
To be compared accordingly with device databases, to obtain each equipment, the specific object information of route.In preset device data
It may include the multinomial attribute information of equipment and route in library, such as attribute information may include the outside drawing of equipment, route
Any one of picture, model, classification, rank, performance data, identification information and status information or any multinomial combination.Its
In, identification information can be equipment or the route corresponding standard logo symbol used in drawing；Performance data may include setting
The relevant parameters such as the corresponding power consumption of standby and route, operating voltage, operating current.
In addition, in receiving multimedia information, above-mentioned method can also include:
Step S203 obtains the corresponding location information of multimedia messages；
Step S204, according to the positional information target to be identified corresponding to the multimedia messages on the electronic map
It is marked.
For example, the scene with reference to shown in Fig. 2 works as client when carrying out device network modeling for underground pipe gallery
It, can be comprehensive along the route direction of lay or along underground after end robot enters pipe gallery and determines the starting point of underground pipe gallery
Direction or the miscellaneous stipulations direction for closing piping lane are mobile, start all kinds of routes and equipment in 360 degree of scannings underground pipe gallery.
Current position coordinates and current multimedia messages can be bound simultaneously and be sent to server end together, it can be obtained
The starting point coordinate and the binding of initial multimedia messages for taking underground pipe gallery are sent to server end together, make server end can be with
The start position information of underground pipe gallery is marked on two-dimensional electronic map.Certainly, other in the disclosure show
In example property embodiment, the end point location information of underground pipe gallery can also be acquired.
In addition, client machine people when acquiring multi-medium data, can preset motion profile, the direction of motion and
Movement velocity.It, can be with the minimum of customized acquisition multi-medium data meanwhile according to the movement velocity of the client machine people
Time interval or distance interval, and acquisition time is marked to the multi-medium data acquired each time.According to initial multimedia messages
The initial acquisition time and location information and client machine people the direction of motion, movement velocity and acquisition multi-medium data
Minimum interval, and then the corresponding location information of multimedia messages each time can be calculated, it is more each time so as to obtain
The location information of corresponding equipment in media information, and can be realized comprehensive to equipment, route and underground on Two-dimensional electron map
The location information for closing piping lane is labeled.
Refering to what is shown in Fig. 6, after receiving the corresponding location information of starting multimedia messages, it can be in Two-dimensional electron map
On the starting point coordinate of underground pipe gallery 100 is labeled.If the travel speed that client machine people is arranged is 1m/s, acquisition
The time interval of multi-medium data is that 1s can be right on Two-dimensional electron map according to the direction of motion of client machine people
The coordinate of the equipment or route that include in multimedia messages each time is marked.It finally can also be to the weight of underground pipe gallery
Point is marked.
Certainly, in other illustrative embodiments of the disclosure, above-mentioned separate space is also possible to relatively independent
The space of the relative closures such as cabin, cabin, unmanned factory or vertical shaft.For cabin, cabin, likewise, can also configure
Motion profile, the direction of motion and the movement velocity of client machine people, allow to based on the received multimedia messages in mould
Location information of each equipment identified in cabin, cabin is marked in type, and can be indicated with coordinate.
Step S3 using the target to be identified as node, and according to the attribute information of the target to be identified and is preset
Concatenate rule carries out networking to the node to obtain device network model.
In this illustrative embodiment, specifically, step S3 may include:
Step S301 carries out classification to the target to be identified according to attribute information and as node.
It, can be according to each multimedia messages calculated after identifying each equipment and the route in multimedia messages
The coordinate of corresponding equipment and route is marked coordinate on Two-dimensional electron map.At the same time it can also according to each equipment
Attribute information classifies to equipment, for example, the classifications such as power equipment, hydraulic set.
The node of the same category is carried out networking according to classification results by step S302.
After obtaining classification results, same category of equipment can be subjected to networking.For example, in electronic map
On, it can be using equipment as node.And centered on a node, within a preset range, according to scheduled concatenate rule, mesh is searched for
Adjacent same category of nodal information around mark, to realize on the electronic map to the physical connection of each equipment optimized integration.
Alternatively, in other exemplary embodiments of the disclosure, it can also be according to client machine people in movement routine
The generic each node identified in order is attached, to realize the networking of generic equipment.
Step S303 is obtained each in networking according to the attribute information of the target to be identified and the default concatenate rule
The logical relation of node is to obtain device network model.
After by the connection of each node, the attribute information of equipment and the company of preset equipment can be corresponded to according to each node
It connects rule to analyze the topological relation networking interior joint, to obtain the practical application logical relation between each node.
For each equipment and route identified, each equipment as node and can be established into device network model.Citing
For, for above-mentioned underground pipe gallery, wherein may include the plurality of devices such as electric power, water conservancy, communication, natural gas and line
Road.After identifying each equipment and pipeline according to multimedia messages, it can be divided according to the attribute information of each equipment
Class, for example, power equipment and corresponding line are classified as one kind and a power equipment set, the communication that will identify that can be generated
Equipment and corresponding line are classified as one kind and a set of communication devices can be generated, etc..Likewise, can also be to various kinds of equipment
Set carries out micronization processes, such as heavy current installation and route are generated a subset, and weak current equipment and route generate a subset.Pass through
The various kinds of equipment and corresponding line that will identify that are classified, to facilitate the subsequent quick foundation to device network model.
For example, the equipment as node may include substation, transformer, ring network cabinet for power equipment network
And the equipment such as switch.Refering to what is shown in Fig. 5, the logic rules of the equipment of electric power can root for preset concatenate rule
It is determined according to the function of specific equipment, wherein substation 501 can carry out as power supply point to switch 511 and large-scale user 543
Power supply；Ring network cabinet 521 is powered as the equipment in route to the power supply of medium sized users 542 and common transformer 531, higher level's electricity
Source can come from different switches；Equipment of the common transformer 531 as line terminal is powered to the small users such as resident 541,
Level power supply comes from ring network cabinet 522 thereon；Switch can be attached with substation and ring network cabinet, open as the equipment in route
The closure of pass directly affects the power supply area of power supply in route, plays to the variation of equipment in network topological connection relation decisive
Effect.Since electric power has directionality, advised according to the connection of the attribute of equipment each in network and preset power equipment
Then, the work-based logic rule in practical application between each equipment can be accurately known, to obtain complete, accurate facility network
Network model.
Based on identical principle, it is also possible to obtain the classifications such as forceful electric power, light current, water conservancy and communication in underground pipe gallery
Device network model.
Specifically, in the scene with reference to underground pipe gallery shown in Fig. 2, client machine people is entering underground synthesis
After piping lane, the acquisition for carrying out Image Acquisition and corresponding location information can be started, and be based on according to the image of acquisition
SLAM algorithm automatically begins to the foundation of the three-dimensional map model of underground pipe gallery.In client machine people along underground pipe gallery
Or along line direction move during constantly obtain new image, and threedimensional model is improved according to new image, and then obtain
The complete three-dimensional model of underground pipe gallery.According to the complete three-dimensional model of the underground pipe gallery of acquisition, user is available
The cross sectional image of underground pipe gallery at an arbitrary position, and then when accident occurs for certain equipment in piping lane, it is effective to judge
Its coverage to other equipment in piping lane and route.In addition, also may include in the threedimensional model of underground pipe gallery
The every terms of information of equipment, route and piping lane, such as position distribution in underground pipe gallery of equipment, route, line alignment
Deng.
Meanwhile server end is upon receiving the image, automatic identification can be carried out to the image of acquisition, to obtain ground
The attribute informations such as concrete model, the classification of each equipment and route in lower pipe gallery.According to the attribute information of equipment to equipment
After being classified with new road, each equipment that can be will identify that is as node, according to the category of each equipment and route that identify
Property information establishes the device network model of underground pipe gallery.At the same time it can also the location information according to acquisition in electronic map
The initial position and final position of middle label underground pipe gallery, and it can be obtained according to the location information of underground pipe gallery
Specific length data.Furthermore it is also possible to according to the corresponding location information of image of acquisition on the electronic map to each equipment and line
Road is marked.While to the real threedimensional model for obtaining underground pipe gallery now with SLAM algorithm, it is comprehensive to obtain underground
Close the device network model in piping lane.
By classifying to the equipment and route that identify, so as to obtain the device network mould of multiple classifications simultaneously
Type, and each equipment and route can be marked on the electronic map simultaneously.It is of course also possible to by different classes of equipment
Separate marking on the electronic map, and individually establishes device network model.
In addition, according to the multimedia messages of acquisition and initial coordinate information, and in the underground pipe gallery that calculates
The location information of each equipment, route, can also accurately be marked on two-dimensional electronic map underground pipe gallery position,
The location information of length and equipment, route.It is associated the threedimensional model of two-dimensional electronic map and underground pipe gallery.
For being based on identical principle in the scene of vertical shaft shown in Fig. 3, after client machine people is put into vertical shaft,
It can start to acquire image using more mesh cameras, and automatically begin to establish vertical shaft using SLAM algorithm according to the image of acquisition
Three-dimensional stereo model.Client machine people along vertical shaft from top to bottom or it is bottom-up move during constantly acquisition it is new
Image, the complete three-dimensional model of vertical shaft is obtained with this.Meanwhile image recognition can be carried out to acquisition image in server end,
To obtain the attribute data of equipment and route in vertical shaft, and facility network is established according to the attribute data of those equipment and route
Network model.It is for instance possible to obtain in vertical shaft the classifications such as forceful electric power, light current, water conservancy and communication device network model, and can obtain
To the relative position information of each equipment room.
Likewise, can also be distributed as according to ground installation with reference to the scene of the workshop in unmanned factory shown in Fig. 4
Client machine people plans movement routine, sweeps client machine people to the environment in workshop according to the path of planning
Image is retouched and acquires, to establish the three-dimensional stereo model of workshop automatically according to the image of acquisition using SLAM algorithm.Meanwhile it is right
The image of acquisition carries out image recognition to obtain the equipment and route distribution in workshop, and then obtains the device network mould in workshop
Type.
In addition, in other exemplary embodiments of the disclosure, it is above-mentioned to establish space three-dimensional mould according to multimedia messages
The process of type and the process for establishing device network model, can carry out simultaneously after obtaining multimedia messages, or point sequentially into
Row, i.e., first establish device network model and resettle space three-dimensional model, or first establish space three-dimensional model and resettle facility network
Network model, the disclosure do not do particular determination to this.
Based on above content, in the present example embodiment, above-mentioned method can also include:
Step S401 receives present multimedia information；
Step S402 identifies the target to be identified in the present multimedia information and extracts the category of the target to be identified
Property information；
Step S403, according to the attribute information and default concatenate rule of the target to be identified, by the mesh to be identified
It is denoted as node and is added to the device network model.
By being parsed in real time to received multimedia messages and Objective extraction, and obtain the attribute of target to be identified
Information is added in corresponding device network model so as to the target that will identify that in real time, real-time device, route it is instant
Identification and the real-time generation of device network model.
In addition, above-mentioned attached drawing is only the schematic theory of processing included by method according to an exemplary embodiment of the present invention
It is bright, rather than limit purpose.It can be readily appreciated that the time that above-mentioned processing shown in the drawings did not indicated or limited these processing is suitable
Sequence.In addition, be also easy to understand, these processing, which can be, for example either synchronously or asynchronously to be executed in multiple modules.
In an exemplary embodiment of the disclosure, a kind of electronic equipment that can be realized the above method is additionally provided.
Person of ordinary skill in the field it is understood that various aspects of the invention can be implemented as system, method or
Program product.Therefore, various aspects of the invention can be embodied in the following forms, it may be assumed that complete hardware embodiment, complete
The embodiment combined in terms of full Software Implementation (including firmware, microcode etc.) or hardware and software, can unite here
Referred to as circuit, " module " or " system ".
The electronic equipment 600 of this embodiment according to the present invention is described referring to Fig. 7.The electronics that Fig. 7 is shown
Equipment 600 is only an example, should not function to the embodiment of the present invention and use scope bring any restrictions.
As shown in fig. 7, electronic equipment 600 is showed in the form of universal computing device.The component of electronic equipment 600 can wrap
It includes but is not limited to: at least one above-mentioned processing unit 610, at least one above-mentioned storage unit 620, the different system components of connection
The bus 630 of (including storage unit 620 and processing unit 610).
Wherein, the storage unit is stored with program code, and said program code can be held by the processing unit 610
Row, so that various according to the present invention described in the execution of the processing unit 610 above-mentioned " illustrative methods " part of this specification
The step of illustrative embodiments.For example, the processing unit 610 can execute above-mentioned method.
Storage unit 620 may include the readable medium of volatile memory cell form, such as Random Access Storage Unit
(RAM) 6201 and/or cache memory unit 6202, it can further include read-only memory unit (ROM) 6203.
Storage unit 620 can also include program/utility with one group of (at least one) program module 6205
6204, such program module 6205 includes but is not limited to: operating system, one or more application program, other program moulds
It may include the realization of network environment in block and program data, each of these examples or certain combination.
Bus 630 can be to indicate one of a few class bus structures or a variety of, including storage unit bus or storage
Cell controller, peripheral bus, graphics acceleration port, processing unit use any bus structures in a variety of bus structures
Local bus.
Electronic equipment 600 can also be with one or more external equipments 700 (such as keyboard, sensing equipment, bluetooth equipment
Deng) communication, can also be enabled a user to one or more equipment interact with the electronic equipment 600 communicate, and/or with make
Any equipment (such as the router, modulation /demodulation that the electronic equipment 600 can be communicated with one or more of the other calculating equipment
Device etc.) communication.This communication can be carried out by input/output (I/O) interface 650.Also, electronic equipment 600 can be with
By network adapter 660 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network,
Such as internet) communication.As shown, network adapter 660 is communicated by bus 630 with other modules of electronic equipment 600.
It should be understood that although not shown in the drawings, other hardware and/or software module can not used in conjunction with electronic equipment 600, including but not
Be limited to: microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive and
Data backup storage system etc..
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the disclosure
The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server, terminal installation or network equipment etc.) is executed according to disclosure embodiment
Method.
In an exemplary embodiment of the disclosure, a kind of computer readable storage medium is additionally provided, energy is stored thereon with
Enough realize the program product of this specification above method.In some possible embodiments, various aspects of the invention may be used also
In the form of being embodied as a kind of program product comprising program code, when described program product is run on the terminal device, institute
Program code is stated for executing the terminal device described in above-mentioned " illustrative methods " part of this specification according to this hair
The step of bright various illustrative embodiments.
Refering to what is shown in Fig. 8, describing the program product for realizing the above method of embodiment according to the present invention
800, can using portable compact disc read only memory (CD-ROM) and including program code, and can in terminal device,
Such as it is run on PC.However, program product of the invention is without being limited thereto, in this document, readable storage medium storing program for executing can be with
To be any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or
It is in connection.
Described program product can be using any combination of one or more readable mediums.Readable medium can be readable letter
Number medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can be but be not limited to electricity, magnetic, optical, electromagnetic, infrared ray or
System, device or the device of semiconductor, or any above combination.The more specific example of readable storage medium storing program for executing is (non exhaustive
List) include: electrical connection with one or more conducting wires, portable disc, hard disk, random access memory (RAM), read-only
Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory
(CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
In carry readable program code.The data-signal of this propagation can take various forms, including but not limited to electromagnetic signal,
Optical signal or above-mentioned any appropriate combination.Readable signal medium can also be any readable Jie other than readable storage medium storing program for executing
Matter, the readable medium can send, propagate or transmit for by instruction execution system, device or device use or and its
The program of combined use.
The program code for including on readable medium can transmit with any suitable medium, including but not limited to wirelessly, have
Line, optical cable, RF etc. or above-mentioned any appropriate combination.
The program for executing operation of the present invention can be write with any combination of one or more programming languages
Code, described program design language include object oriented program language-Java, C++ etc., further include conventional
Procedural programming language-such as " C " language or similar programming language.Program code can be fully in user
It calculates and executes in equipment, partly executes on a user device, being executed as an independent software package, partially in user's calculating
Upper side point is executed on a remote computing or is executed in remote computing device or server completely.It is being related to far
Journey calculates in the situation of equipment, and remote computing device can pass through the network of any kind, including local area network (LAN) or wide area network
(WAN), it is connected to user calculating equipment, or, it may be connected to external computing device (such as utilize ISP
To be connected by internet).
In addition, above-mentioned attached drawing is only the schematic theory of processing included by method according to an exemplary embodiment of the present invention
It is bright, rather than limit purpose.It can be readily appreciated that the time that above-mentioned processing shown in the drawings did not indicated or limited these processing is suitable
Sequence.In addition, be also easy to understand, these processing, which can be, for example either synchronously or asynchronously to be executed in multiple modules.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to its of the disclosure
His embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Adaptive change follow the general principles of this disclosure and including the undocumented common knowledge in the art of the disclosure or
Conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by claim
It points out.
It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present disclosure is only limited by the attached claims.
Claims (10)
1. a kind of device network modeling method based on separate space characterized by comprising
Receive a multimedia messages；
It identifies the target to be identified in the multimedia messages and extracts the attribute information of the target to be identified；
Using the target to be identified as node, and according to the attribute information and default concatenate rule of the target to be identified to institute
It states node and carries out networking to obtain at least one device network model；
It is described using the target to be identified as node, and according to the attribute information and default concatenate rule of the target to be identified
Carrying out networking to the node to obtain at least one device network model includes: according to attribute information to the target to be identified
Carry out classification and as node；
The node of the same category is subjected to networking according to classification results；
It is closed according to the logic that the attribute information of the target to be identified and the default concatenate rule obtain each node in networking
System is to obtain at least one device network model.
2. the method according to claim 1, wherein the multi-medium data includes: image data or/and video
Data.
3. method according to claim 1 or 2, which is characterized in that the target to be identified includes equipment and/or route；
Target to be identified in the identification multimedia messages and attribute information for extracting the target to be identified includes:
Identify the equipment and/or route in the multimedia messages；
The equipment and/or route are compared with default device databases to obtain the attribute of the equipment and/or route
Information；Wherein, the equipment, route attribute information include: in model, classification, rank, identification information and status information
Any one or any multinomial combination.
4. the method according to claim 1, wherein the method also includes:
The three-dimensional map model of the separate space is obtained based on SLAM algorithm according to the multimedia messages.
5. the method according to claim 1, wherein the method is also wrapped when receiving the multimedia messages
It includes:
Obtain the corresponding location information of the multimedia messages；
Target to be identified corresponding to the multimedia messages is marked on the electronic map according to the positional information.
6. according to the method described in claim 5, it is characterized in that, the method also includes:
The position of pipe gallery is marked on the electronic map according to the corresponding location information of the multimedia messages.
7. -2, the described in any item methods of 4-6 according to claim 1, which is characterized in that the separate space includes: vertical shaft, nothing
Any one of artificial factory, cabin or cabin are any multinomial.
8. the method according to claim 1, wherein the method also includes:
Receive present multimedia information；
It identifies the target to be identified in the present multimedia information and extracts the attribute information of the target to be identified；
According to the attribute information and default concatenate rule of the target to be identified, the target to be identified as node and is added
Add to the device network model.
9. a kind of storage medium is stored thereon with computer program, realizes when described program is executed by processor and wanted according to right
Device network modeling method described in asking any one of 1 to 8 based on separate space.
10. a kind of electric terminal characterized by comprising
Processor；And
Memory, for storing the executable instruction of the processor；
Wherein, the processor is configured to come described in any one of perform claim requirement 1 to 8 via the execution executable instruction
The device network modeling method based on separate space.
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| CN109902394B (en) * | 2019-03-04 | 2020-05-05 | 陈龙雨 | Network modeling method based on user interval information |
| CN117836233A (en) * | 2021-08-20 | 2024-04-05 | 通力股份公司 | Method and measuring system for three-dimensional modeling of elevator hoistway |
| CN115879037B (en) * | 2023-02-23 | 2023-05-05 | 深圳合众致达科技有限公司 | Student apartment load identification method and system based on intelligent ammeter |
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| CN100512163C (en) * | 2007-05-24 | 2009-07-08 | 中兴通讯股份有限公司 | Device and method for forming topological map and detecting topological structure |
| FI123925B (en) * | 2012-08-17 | 2013-12-13 | Kone Corp | Procedure for managing elevator related data |
| CN103824228A (en) * | 2012-11-16 | 2014-05-28 | 宁海县供电局 | Application of three-dimensional system based on electric power GIS |
| CN103407883B (en) * | 2013-08-22 | 2015-09-02 | 泰富重工制造有限公司 | Ship unloaders control system and control method |
| CN103472847B (en) * | 2013-08-30 | 2016-02-24 | 广东电网公司电力科学研究院 | Unmanned plane power circuit polling flight path method for supervising and system |
| CN105894568A (en) * | 2014-11-17 | 2016-08-24 | 郑州捷安高科股份有限公司 | Image recognition based railway signal equipment three-dimensional modeling method |
| CN105512287B (en) * | 2015-11-30 | 2017-07-18 | 山东正元地球物理信息技术有限公司 | A kind of method for setting up pipe gallery information database |
| CN105913485B (en) * | 2016-04-06 | 2019-02-12 | 北京小小牛创意科技有限公司 | A kind of generation method and device of three-dimensional virtual scene |
| CN106446033A (en) * | 2016-08-31 | 2017-02-22 | 青岛市勘察测绘研究院 | Potential safety hazard information management system and method for underground pipelines |
| CN107194827A (en) * | 2017-05-22 | 2017-09-22 | 上海华测导航技术股份有限公司 | A kind of electric power networks management method |
| CN107480730A (en) * | 2017-09-05 | 2017-12-15 | 广州供电局有限公司 | Power equipment identification model construction method and system, the recognition methods of power equipment |
| CN107588766A (en) * | 2017-09-15 | 2018-01-16 | 南京轩世琪源软件科技有限公司 | A kind of indoor orientation method based on radio area network |
| CN108199907B (en) * | 2018-02-09 | 2019-07-05 | 陈龙雨 | A kind of modeling and analysis methods based on geography target |
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