CN111197990A - Intelligent community route guiding method, system, computer equipment and storage medium - Google Patents
Intelligent community route guiding method, system, computer equipment and storage medium Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/3415—Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
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Abstract
The invention provides a route guiding method for an intelligent community, which comprises the following steps: the server acquires a guide request uploaded by a client; the server calls a camera to acquire charging pile area image data; the server analyzes the charging pile area image to obtain idle charging piles and corresponding position information; and the server generates a guiding route according to the owner position in the guiding request uploaded by the client and combined with the position information of the idle charging pile, and the guiding route is fed back to the client initiating the request. The intelligent community route guiding method provided by the embodiment of the invention can guide owners to go to the idle charging pile, and avoid unnecessary time cost waste.
Description
Technical Field
The embodiment of the invention relates to the field of image detection, in particular to a method, a system, computer equipment and a storage medium for intelligent community route guidance.
Background
As the world with large energy consumption and important strength of environmental protection, China actively implements the scientific and technological strategy of electric vehicles. China highly attaches importance to the development of electric vehicles, new energy vehicles are listed as one of strategic emerging industries, and the number of electric vehicles is increasing. However, the number of the charging piles is insufficient, and the bottleneck that the development of the electric automobile is seriously restricted is formed. In some large communities, owners cannot see the idle state of the charging pile area in real time, the charging pile area is usually multiple, and the owners often find the charging piles to travel in unnecessary distance and save time.
Disclosure of Invention
In order to solve the above problem, an embodiment of the present invention provides a method for guiding routes of an intelligent community, including the following steps:
the server acquires a guide request uploaded by a client;
the server calls a camera to acquire charging pile area image data;
the server analyzes the charging pile area image to obtain idle charging piles and corresponding position information;
and the server generates a guiding route according to the owner position in the guiding request uploaded by the client and combined with the position information of the idle charging pile, and the guiding route is fed back to the client initiating the request.
Preferably, the server calls the camera, and the step of acquiring the charging pile area image data includes:
the server calls the camera authority to shoot images of the charging pile area, and receives first image data transmitted by the camera.
Preferably, the step of analyzing the charging pile area image by the server to obtain the idle charging pile and the corresponding position information includes:
the server preprocesses the first image data by using a background difference method to obtain second image data;
and covering and matching the second image data by using a preset template image to obtain an area with the highest similarity, locking the area as an idle charging pile and acquiring the position information of the world coordinate system corresponding to the image area.
Preferably, the step of generating, by the server, a guidance route to be fed back to the client initiating the request according to the owner position in the guidance request uploaded by the client in combination with the idle charging pile position information includes:
and the service generates path data according to owner position information in the guide request uploaded by the client, wherein the owner position information is based on the world coordinate system, and the path data is generated and returned to the client for displaying by combining the calculated idle charging pile coordinate information and a preset path planning algorithm.
The embodiment of the present invention further provides a route guidance system for an intelligent community, including:
the request module is used for acquiring a guide request uploaded by a client by a server;
the image module is used for calling the camera by the server to acquire charging pile area image data;
the analysis module is used for analyzing the charging pile area image by the server to obtain an idle charging pile and corresponding position information;
and the guiding module is used for generating a guiding route and feeding the guiding route back to the client initiating the request by the server according to the owner position in the guiding request uploaded by the client and by combining the position information of the idle charging pile.
Preferably, the image module is further configured to:
the server calls the camera authority to shoot images of the charging pile area, and receives first image data transmitted by the camera.
Preferably, the parsing module is further configured to:
the server preprocesses the first image data by using a background difference method to obtain second image data;
and covering and matching the second image data by using a preset template image to obtain an area with the highest similarity, locking the area as an idle charging pile and acquiring the position information of the world coordinate system corresponding to the image area.
Preferably, the guiding module is further configured to:
and the service generates path data according to owner position information in the guide request uploaded by the client, wherein the owner position information is based on the world coordinate system, and the path data is generated and returned to the client for displaying by combining the calculated idle charging pile coordinate information and a preset path planning algorithm.
The embodiment of the present invention further provides a computer device, where the computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is implemented by the processor to implement the method for guiding routes in an intelligent community.
An embodiment of the present invention further provides a computer storage medium, wherein the computer storage medium stores a computer program, and the computer program can be executed by at least one processor to perform a method for route guidance in a smart community as described above
The intelligent community route guiding method, the intelligent community route guiding system, the computer equipment and the storage medium can guide an owner to go to an idle charging pile, and unnecessary time cost waste is avoided.
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FIG. 1 is a flowchart illustrating steps of a route guidance method for an intelligent community according to the present invention;
FIG. 2 is a block diagram of a route guidance system for an intelligent community according to the present invention;
fig. 3 is a schematic diagram of a hardware structure of the computer device of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. 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.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that although the terms first, second, etc. may be used to describe the designated key in embodiments of the present invention, the designated key should not be limited to these terms. These terms are only used to distinguish specified keywords from each other. For example, the first specified keyword may also be referred to as the second specified keyword, and similarly, the second specified keyword may also be referred to as the first specified keyword, without departing from the scope of embodiments of the present invention.
The word "if" as used herein may be interpreted as referring to "at … …" or "when … …" or "corresponding to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (a stated condition or time)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
Referring to fig. 1, an embodiment of the invention provides a method for guiding routes of an intelligent community, including:
step S100, a server acquires a guide request uploaded by a client;
step S200, the server calls a camera to acquire charging pile area image data;
step S300, the server analyzes the charging pile area image to obtain an idle charging pile and corresponding position information;
and step S400, the server generates a guiding route according to the owner position in the guiding request uploaded by the client and combined with the position information of the idle charging pile, and the guiding route is fed back to the client initiating the request.
Specifically, in an exemplary scenario, an owner clicks a request button in a page of a mobile phone client to trigger a guidance request of the client, and the client delivers the guidance request to a server for processing.
And after receiving the guide request, the server calls a camera in the community charging pile area, and notices that the server is connected with the community network and needs to have the authority for controlling each hardware component in the community network.
The server calls the cameras in the community charging pile area to shoot a charging pile area image, then the cameras transmit single image data of the charging pile area, and due to the fact that image analysis of the charging pile area does not involve object tracking, an instant image analysis can be obtained.
And after the server analyzes the charging pile area image, the server obtains the position information corresponding to which idle charging pile foundation specifically, and the server stores serial numbers and physical position information records in advance for each charging pile. And then, the server feeds back the information to the client initiating the request by using a preset guide route algorithm according to the owner position attached to the request uploaded by the client as a request method.
The intelligent community route guiding method provided by the embodiment of the invention can guide owners to go to the idle charging pile, and avoid unnecessary time cost waste.
Optionally, in step S200, the server calls the camera, and the step of acquiring the image data of the charging pile area includes:
the server calls the camera authority to shoot images of the charging pile area, and receives first image data transmitted by the camera.
Optionally, in step S300, the step of analyzing the charging pile area image by the server to obtain an idle charging pile and corresponding position information includes:
step S310, the server preprocesses the first image data by using a background difference method to obtain second image data;
and step S320, covering and matching the second image data by using a preset template image to obtain an area with the highest similarity, locking the area as an idle charging pile and acquiring the position information of the world coordinate system corresponding to the image area.
Specifically, because a large amount of irrelevant elements exist in the first image, in real time, each charging pile is scribed with an area, and whether the charging pile is idle can be identified only by detecting whether vehicles exist in the scribed area, so that all the content elements in the non-scribed area can be removed by using a background difference method.
Optionally, in step S400, the step of generating, by the server, a guidance route to be fed back to the client initiating the request according to the owner location in the guidance request uploaded by the client and by combining the idle charging pile location information includes:
and the service generates path data according to owner position information in the guide request uploaded by the client, wherein the owner position information is based on the world coordinate system, and the path data is generated and returned to the client for displaying by combining the calculated idle charging pile coordinate information and a preset path planning algorithm.
Specifically, the static optimal path planning method based on the Dijkestra algorithm and the nearest neighbor method is adopted, but the traffic state on each road section is dynamic fluctuation, so that an accurate relational expression of the travelable time changing along with the time is difficult to obtain. The time is discretized, i.e. the traffic conditions are stable per unit time. The dynamic path planning based on the traffic road condition can be considered to make static path planning at a plurality of discrete time points, and the times of path planning are reduced. Meanwhile, when an emergency occurs, for example, other electric vehicles change the driving state and the driving path, a new path plan can be made, and the accuracy of the path plan is increased. Initialization is first performed. And then performing a staged analysis at an initial time or when an event occurs within an interval period. And carrying out intelligent early warning analysis on the SOC of the electric automobile. When the electric automobile is not charged in the charging pile, returning to the stage analysis; when the electric automobile is charged in the charging pile, the periodic analysis is not needed; when the electric automobile is fully charged, the electric automobile returns to dynamic traffic, and the periodic analysis is returned.
In the initialization stage, parts such as an electric automobile, a charging pile, a road network and a timer in a virtual scene are initialized, and the 1 st optimization is made according to multiple destinations of the electric automobile. And (3) adopting a Dijkstra algorithm as a basic algorithm, namely, using the Dijkstra algorithm among target points to ensure that the path among the targets is the shortest path. Because the electric automobile generally has a plurality of destinations, the electric automobile determines a shortest path traversing all the target points by adopting a nearest neighbor point method.
In order to increase the accuracy of dynamic path planning and reduce the number of times of execution of repetitive path planning, discrete time points and event sets of intervals are set. The discrete time points of the intervals are time discretization, and analysis is performed at the beginning of each time period on the assumption that the traffic condition in the unit time period does not change. The event set is a series of event sets stored in association with dynamic path planning, and includes various types of emergency situations, changes of electric vehicle states, and the like.
When the system time is at the initial time of the interval time period or an event occurs in the event set, the scene changes, and path planning needs to be performed again. When the event ends, the event is cleared.
The embodiment of the present invention further provides a route guidance system 20 for an intelligent community, including:
a request module 100, configured to obtain, by a server, a guidance request uploaded by a client;
the image module 200 is used for the server to call a camera to acquire charging pile area image data;
the analysis module 300 is used for analyzing the charging pile area image by the server to obtain an idle charging pile and corresponding position information;
and the guiding module 400 is configured to generate a guiding route and feed the guiding route back to the client initiating the request by the server according to the owner position in the guiding request uploaded by the client and by combining the position information of the idle charging pile.
Optionally, the image module 200 is further configured to:
the server calls the camera authority to shoot images of the charging pile area, and receives first image data transmitted by the camera.
Optionally, the parsing module 300 is further configured to:
the server preprocesses the first image data by using a background difference method to obtain second image data;
and covering and matching the second image data by using a preset template image to obtain an area with the highest similarity, locking the area as an idle charging pile and acquiring the position information of the world coordinate system corresponding to the image area.
Optionally, the guiding module 400 is further configured to:
and the service generates path data according to owner position information in the guide request uploaded by the client, wherein the owner position information is based on the world coordinate system, and the path data is generated and returned to the client for displaying by combining the calculated idle charging pile coordinate information and a preset path planning algorithm.
Please refer to fig. 3, which is a schematic diagram of a hardware architecture of a computer device according to an embodiment of the present invention. In the present embodiment, the computer device 2 is a device capable of automatically performing numerical calculation and/or information processing in accordance with a preset or stored instruction. The computer device 2 may be a personal computer, a tablet computer, a mobile phone, a smartphone, or a rack server, a blade server, a tower server, or a cabinet server (including an independent server or a server cluster composed of a plurality of servers), and the like, and is configured to provide a virtual client. As shown, the computer device 2 includes, but is not limited to, at least a memory 21, a processor 22, a network interface 23, and a smart community route guidance system 20, which are communicatively connected to each other via a system bus, wherein:
in this embodiment, the memory 21 includes at least one type of computer-readable storage medium including a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the storage 21 may be an internal storage unit of the computer device 2, such as a hard disk or a memory of the computer device 2. In other embodiments, the memory 21 may also be an external storage device of the computer device 2, such as a plug-in hard disk, a Smart Media Card (SMC), a secure digital (secure digital) SD card, a flash card (FlashCard) or the like provided on the computer device 20, and of course, the memory 21 may also include both an internal storage unit and an external storage device of the computer device 2. In this embodiment, the memory 21 is used for storing an operating system installed in the computer device 2 and various application software, such as a program code of the intelligent community route guidance system 20. Further, the memory 21 may also be used to temporarily store various types of data that have been output or are to be output.
Processor 22 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor or other data processing chip in some embodiments. The processor 22 is typically used to control the overall operation of the computer device 2. In this embodiment, the processor 22 is configured to execute program codes stored in the memory 21 or process data, such as operating the intelligent community route guidance system 20,
the network interface 23 may comprise a wireless network interface or a limited network interface, and the network interface 23 is typically used for establishing a communication connection between the computer device 2 and other electronic apparatuses. For example, the network interface 23 is used to connect the computer device 2 with an external terminal necklace, establish a data transmission channel and a communication connection between the computer device 2 and an external interrupt, and the like via a network. The network may be a wireless or wired network such as an Intranet (Intranet), the Internet (Internet), a global system for mobile communications (GSM), Wideband Code Division Multiple Access (WCDMA), a 4G network, a 5G network, Bluetooth (Bluetooth), or Wi-Fi.
In this embodiment, the intelligent community route guidance system 20 stored in the memory 21 may be further divided into one or more program modules, and the one or more program modules are stored in the memory 21 and executed by one or more processors (in this embodiment, the processor 22) to complete the present invention.
In addition, the present embodiment also provides a computer-readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application store, etc., on which a computer program is stored, which when executed by a processor implements a corresponding function. The computer readable storage medium of the embodiment is used for storing the intelligent community route guidance system 20, and when being executed by a processor, the intelligent community route guidance system implements the intelligent community route guidance method of the invention.
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.
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 (10)
1. A method for guiding a route of a smart community, comprising:
the server acquires a guide request uploaded by a client;
the server calls a camera to acquire charging pile area image data;
the server analyzes the charging pile area image to obtain idle charging piles and corresponding position information;
and the server generates a guiding route according to the owner position in the guiding request uploaded by the client and combined with the position information of the idle charging pile, and the guiding route is fed back to the client initiating the request.
2. The intelligent community route guidance method according to claim 1, wherein the server calls a camera, and the step of acquiring charging pile area image data comprises:
the server calls the camera authority to shoot images of the charging pile area, and receives first image data transmitted by the camera.
3. The intelligent community route guidance method according to claim 2, wherein the step of analyzing the charging pile area image by the server to obtain an idle charging pile and corresponding position information comprises:
the server preprocesses the first image data by using a background difference method to obtain second image data;
and covering and matching the second image data by using a preset template image to obtain an area with the highest similarity, locking the area as an idle charging pile and acquiring the position information of the world coordinate system corresponding to the image area.
4. The intelligent community route guidance method according to claim 3, wherein the step of generating a guidance route to be fed back to the client initiating the request by the server according to the owner position in the guidance request uploaded by the client in combination with the position information of the idle charging pile comprises:
and the service generates path data according to owner position information in the guide request uploaded by the client, wherein the owner position information is based on the world coordinate system, and the path data is generated and returned to the client for displaying by combining the calculated idle charging pile coordinate information and a preset path planning algorithm.
5. A route guidance system for a smart community, comprising:
the request module is used for acquiring a guide request uploaded by a client by a server;
the image module is used for calling the camera by the server to acquire charging pile area image data;
the analysis module is used for analyzing the charging pile area image by the server to obtain an idle charging pile and corresponding position information;
and the guiding module is used for generating a guiding route and feeding the guiding route back to the client initiating the request by the server according to the owner position in the guiding request uploaded by the client and by combining the position information of the idle charging pile.
6. The intelligent community route guidance system of claim 5, wherein the image module is further configured to:
the server calls the camera authority to shoot images of the charging pile area, and receives first image data transmitted by the camera.
7. The intelligent community route guidance system of claim 5, wherein the parsing module is further configured to:
the server preprocesses the first image data by using a background difference method to obtain second image data;
and covering and matching the second image data by using a preset template image to obtain an area with the highest similarity, locking the area as an idle charging pile and acquiring the position information of the world coordinate system corresponding to the image area.
8. The intelligent community route guidance system of claim 5, wherein the guidance module is further configured to:
and the service generates path data according to owner position information in the guide request uploaded by the client, wherein the owner position information is based on the world coordinate system, and the path data is generated and returned to the client for displaying by combining the calculated idle charging pile coordinate information and a preset path planning algorithm.
9. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program when executed by the processor implements the intelligent community route guidance method of any one of claims 1 to 4.
10. A computer storage medium storing a computer program capable of being executed by at least one processor according to a method of intelligent community route guidance according to claims 1 to 4.
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Application publication date: 20200526 |