CN117558154A - Data sharing method based on identification analysis, intelligent parking and vehicle taking management method - Google Patents
Data sharing method based on identification analysis, intelligent parking and vehicle taking management method Download PDFInfo
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
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- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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Abstract
The invention provides a data sharing method based on identification analysis, an intelligent parking and vehicle taking management method, which comprises the following steps: acquiring a parking lot identification node based on an identification analysis system; determining equipment production identification nodes based on the parking lot identification nodes and the identification analysis system; acquiring equipment basic information of a parking lot, and generating equipment information registration nodes; and determining device related information for identifying the device based on the preset key information.
Description
Technical Field
The invention relates to the technical field of data sharing based on identification analysis, in particular to a data sharing method based on identification analysis, an intelligent parking and picking management method, a system, a device and a medium.
Background
The technical field is mainly applied to an electric integrated information system of a complex machine, is based on unified management of a computer, integrates multiple technologies, and relates to a wireless communication technology, a mobile terminal technology, a GPS positioning technology, a GIS technology and the like.
The main flow is to form an intelligent network by a large number of sensors, embedded terminals, intelligent central control, communication equipment and facilities through a virtual network-physical network system CPS, and apply the intelligent network to the collection, management, inquiry, reservation and navigation services of urban parking spaces, thereby realizing the integration of the real-time update, inquiry, reservation and navigation services of parking space resources.
The method has the specific defects that although part of parking lots are intelligently upgraded, the collected data information is relatively static and independent in data storage, real-time and dynamic sharing cannot be supported, user data is inconvenient to use in a cross-region mode, urban intelligent management is difficult to upgrade, and intelligent parking is difficult to realize.
The main reasons for the defects are that enterprises, system integrators, equipment research and development manufacturers and the like for providing solutions are camping respectively, and no unified standard is formed; secondly, the technical capability is good, equipment layers adopted for collecting parking space information are different, and the modes are different; thirdly, due to the diversified information processing and query algorithms, complex and multiple components such as a software data interface, an information transmission mode, a communication protocol and the like are caused.
The intelligent parking system mainly aims at the problems that due to the fact that information processing and query algorithms are changed widely, complex and multiple software data interfaces, information transmission modes, communication protocols and the like are caused, real-time and dynamic sharing of parking data across areas are difficult to achieve, intelligent city management is difficult to achieve and the like, and intelligent parking is achieved.
The technical essence is that the identification analysis technology is applied to the intelligent parking field, and mainly relates to an active identification data acquisition method, an active identification data acquisition system, computer equipment and a readable storage medium.
Compared with the prior art, the method mainly has the following obvious technical advantages and characteristics:
(1) Regarding the aspect of intelligent parking field data, automatic acquisition, reading and coding uploading can be realized, the efficiency of parking data acquisition can be improved, the time and labor cost of relevant institutions accessing to the cloud can be effectively reduced, and the intelligent parking field data processing system can be suitable for parking sites in different areas and in different environments.
(2) Regarding the aspect of unified standard interfaces, the identifier analysis system is packaged into the identifier analysis middleware, so that the two-level nodes for identifier analysis can be directly connected upwards; and providing standard unified service for functions such as related organization application access identification registration, data synchronization, analysis and the like. Therefore, the influence on the management mechanism caused by the change of the secondary node can be eliminated, and the use threshold of the identification analysis technology can be effectively reduced, so that the convenience of accessing the identification analysis system is improved.
(3) With respect to real-time cross-regional sharing of data, because of the application of the identification analysis technology, data interaction among areas, industries and departments, intercommunication of multi-source heterogeneous identifications and resource sharing can be realized, and a solid technology base is provided for smart city construction.
Therefore, there is a need for a data sharing method, an intelligent parking and picking management method, a system, a device and a medium based on identification analysis, which can solve the problems of cross-regional automatic acquisition and sharing of intelligent parking data by adopting an identification analysis technology.
Disclosure of Invention
The invention aims to provide a data sharing method and system based on identification analysis. In order to solve the technical problems existing in the background art.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a data sharing method based on identification analysis comprises the following steps:
acquiring a parking lot identification node based on an identification analysis system;
determining equipment production identification nodes based on the parking lot identification nodes and the identification analysis system;
acquiring equipment basic information of a parking lot, and generating equipment information registration nodes;
and determining device related information for identifying the device based on the preset key information.
Meanwhile, the invention also discloses an intelligent parking management method applying the data sharing method for identification analysis, which comprises the following steps:
obtaining parking space allowance data of a target parking area through the identification analysis device and the basic information of the parking lot;
acquiring specific position information of the residual parking space based on the parking space residual data and basic information of the parking space of the target parking area;
positioning the position of the target vehicle according to the vehicle positioner and the target parking area map, and determining the position information of the target vehicle;
carrying out path parameter configuration on the specific position information of the allowance parking space and the position information of the target vehicle to be parked, and determining the number N of the positions capable of parking and the position information thereof;
performing parking optimization on the N parking positions, and determining optimal parking information;
and carrying out intelligent parking management on the target vehicle according to the optimal parking information.
In some embodiments, the obtaining the parking space allowance data of the target parking area through the identification analysis device and the parking lot basic information includes:
based on the identification analysis device, through identifying the unique code of the license plate number and transmitting to the secondary node for unified planning, all parking space information of no vehicles parked in the target parking lot is counted, so that the parking space allowance data are obtained.
In some embodiments, the basic information of the parking space of the target parking area comprises vehicle entering amount, vehicle exiting amount and parking space allowance information.
In some embodiments, the journey parameters include journey distance of the current location of the target vehicle to the random parking space and journey information; the parking positions are parking spaces which can be reached by the target vehicle in all the remaining parking spaces in the target parking area.
In some embodiments, the optimal parking information includes an optimal path and an optimal location, wherein the optimal location includes a current location of the target vehicle to a nearest parking location, and the optimal path includes a shortest parking path from the current location of the target vehicle to the parking location.
Meanwhile, the invention also discloses an intelligent vehicle taking management method applying the data sharing method for identification analysis, which comprises the following steps:
obtaining parking data through the identification analysis device and the basic information of the parking lot;
acquiring target parking space position information based on the parking space allowance data and the target parking area parking space basic information;
positioning the position of the target vehicle according to the vehicle owner positioning information and the target parking area map, and determining the position information of the target vehicle;
according to the data center table configuration distance parameters, recording parking time and the like, acquiring evaluation information through an application terminal APP, wherein the evaluation information comprises recommended routes and fees;
based on the evaluation information, intelligent vehicle taking is achieved.
Meanwhile, the invention also discloses a data sharing system based on identification analysis, which comprises:
the data acquisition system is used for executing the acquisition of the demand data;
the data center is used for managing and maintaining the data acquisition system; storing, managing and maintaining real-time parking data, responding to a user request in time, and providing data for inquiring a historical data system; storing the related data analysis results so as to timely respond to the request of the user side about the historical data analysis results; storing, managing and maintaining the user information and timely responding to various requests from the user;
and the user side is used for sending out instructions and acquiring recommendation information.
Meanwhile, the invention also discloses a data sharing device based on identification analysis, which comprises a processor and a memory; the memory is configured to store instructions that, when executed by the processor, cause the apparatus to implement the identity resolution based data sharing method of any one of the above.
Meanwhile, the invention also discloses a computer readable storage medium, wherein the storage medium stores computer instructions, and when the computer reads the computer instructions in the storage medium, the computer runs the data sharing method based on the identification analysis.
Advantageous effects
Compared with the prior art, the invention has the remarkable advantages that:
the scheme of the invention can realize real-time intelligent acquisition of the parking lot data, data interaction among regions, industries and departments, intercommunication of multi-source heterogeneous identification and resource sharing, and provides a solid technical base for smart city construction.
Drawings
FIG. 1 is a schematic diagram of a data sharing system based on identity resolution according to the present embodiment;
fig. 2 is a flow chart of a data sharing method based on identification resolution according to the present embodiment;
FIG. 3 is a flow chart of an intelligent parking management method according to an embodiment of the invention;
fig. 4 is a flow chart of an intelligent vehicle taking management method according to an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
On the contrary, the application is intended to cover any alternatives, modifications, equivalents, and variations as may be included within the spirit and scope of the application as defined by the appended claims. Further, in the following detailed description of the present application, specific details are set forth in order to provide a more thorough understanding of the present application. The present application will be fully understood by those skilled in the art without a description of these details.
A data sharing method and system based on identification resolution according to the embodiments of the present application will be described in detail below with reference to fig. 1 to 4. It is noted that the following examples are only for explaining the present application and are not limiting of the present application.
Example 1
Fig. 1 is a schematic diagram of a data sharing system based on identity resolution according to this embodiment, and fig. 1 shows that the data sharing system based on identity resolution includes:
and the data acquisition system is used for executing the required data acquisition.
In some embodiments, the smart parking data collection system is configured to be compatible with existing data collection techniques, e.g., for an established smart parking facility, the data collection system performs the collection directly by establishing a corresponding interface with the identification device. For a parking database of a third party, if the data is accurate, the data acquisition system acquires the data through the data interface, which requires that the two database interfaces are compatible with each other. For non-intelligent parking lots, roadside parking spaces, old and old district parking and newly-built parking lots, intelligent transformation can be directly carried out
The data center is used for managing and maintaining the data acquisition system; storing, managing and maintaining real-time parking data, responding to a user request in time, and providing data for inquiring a historical data system; storing the related data analysis results so as to timely respond to the request of the user side about the historical data analysis results; and storing, managing and maintaining user information, and responding to various requests from users in time.
In some embodiments, the smart parking data center includes four subsystems from a functional implementation perspective:
the equipment information system is responsible for managing and maintaining the data acquisition system. The real-time parking data system is responsible for storing, managing and maintaining real-time parking data, responding to a user request in time and providing data for the inquiry of the historical data system. The historical parking data system is responsible for storing relevant data analysis results and the like, and can respond to a request of a user side about the historical data analysis results in time. The user information system is responsible for storing, managing and maintaining user information, and responding in time to various requests from users.
In some embodiments, on the basis of two aspects of balanced cost and safety performance, a self-built cloud service and a cloud service purchasing mode can be combined to construct the data center, so that the robustness, safety and expandability of the data center are ensured.
And the user side is used for sending out instructions and acquiring recommendation information.
In some embodiments, the users of the smart parking application APP are not just owners of the vehicle, but include parking management, municipal planning, and even marketing operators of commercial venues.
It is known that when the intelligent parking lot is built, the advantages of the identification analysis technology are brought into full play in the aspect of development of an application system, the data is fully utilized to conduct intelligent management to the greatest extent, and each department is enabled to make an optimal decision.
It should be noted that the above description of the data sharing system and the modules thereof based on identification resolution is for convenience of description only and is not intended to limit the present description to the scope of the illustrated embodiments. It will be appreciated by those skilled in the art that, given the principles of the system, various modules may be combined arbitrarily or a subsystem may be constructed in connection with other modules without departing from such principles. In some embodiments, the data acquisition system and the data center disclosed in fig. 1 may be different modules in one system, or may be one module to implement the functions of two or more modules. For example, each module may share one memory module, or each module may have a respective memory module. Such variations are within the scope of the present description.
Fig. 2 is a schematic diagram illustrating a flow 200 of the data sharing method based on identification resolution according to the present embodiment. In some embodiments, the process 200 may be performed based on an identity resolved data sharing system. As shown in fig. 2, the process 200 includes:
step 210, obtaining the parking lot identification node based on the identification analysis system.
For example, according to the local identification analysis system, the intelligent parking equipment and the identification analysis secondary node in the identification analysis system are subjected to access configuration to obtain the parking lot identification node.
And 220, determining a device production identification node based on the parking lot identification node and the identification analysis system.
For example, according to the parking lot identification node, the field device is connected to the identification analysis system, and the device production identification node is determined.
Step 230, obtaining the device basic information of the parking lot, and generating a device information registration node.
For example, the device basic information of the parking lot is subjected to data identification registration, and a device information registration node is generated.
Step 240, determining device-related information for identifying the device based on the preset key information.
For example, information extraction is performed on the identification equipment of the parking lot through preset key information, so as to obtain equipment related information of the identification equipment.
Based on the method, the intelligent parking system can solve a plurality of defects of the traditional intelligent parking lot technology, realize data distributed storage, management and sharing through a decentralization framework, solve the problems that the intelligent parking field is complex and diverse due to the fact that software data interfaces, information transmission modes, communication protocols and the like are complex and diverse, real-time and dynamic sharing of parking data across areas are difficult to realize, intelligent market management is difficult to realize, and the like, and realize the intelligent parking.
Fig. 3 is a schematic diagram of a flow 300 of an intelligent parking management method according to an embodiment of the present invention. In some embodiments, the process 300 may be performed based on an identity resolved data sharing system. As shown in fig. 3, the process 300 includes:
and 310, obtaining the parking space allowance data of the target parking area through the identification analysis device and the basic information of the parking lot.
For example, the parking space allowance data of the target parking area is obtained through the identification analysis device and the basic information of the parking lot. The device can be installed at the position of the identifiable license plate number of the corresponding parking lot by identifying the unique license plate number code by utilizing the identification analysis device and transmitting the unique license plate number code to the secondary node for unified planning. The parking space allowance data counts all parking space information of no vehicles parked in the target parking lot.
And 320, acquiring specific position information of the residual parking space based on the parking space residual data and the basic information of the parking space of the target parking area.
For example, based on the parking space allowance data and the basic information of the parking space of the target parking area, specific position information of the allowance parking space is obtained. The parking space basic information of the target parking area comprises vehicle entering quantity, vehicle exiting quantity and parking space allowance information, and based on real-time data, the parking space allowance real-time data under the current time are accurately obtained.
And 330, positioning the position of the target vehicle according to the vehicle positioner and the target parking area map, and determining the position information of the target vehicle.
For example, the position of the target vehicle is located based on the vehicle locator and the target parking area map, and the position information of the target vehicle is determined. A vehicle locator is a device that locates a current vehicle to determine the specific location of the vehicle. The target parking area map is a map of all parking space positions and routes in the target parking area. The target vehicle is a vehicle to be parked. The vehicle locator can be a system device such as a mobile phone navigation system, a vehicle GPS and the like. The target parking area map may be a cell phone navigation map, a display map of the target parking area, or the like.
And 340, carrying out path parameter configuration on the specific position information of the allowance parking space and the position information of the target vehicle to be parked, and determining the number N of the positions capable of parking and the position information thereof.
For example, the above-mentioned remaining parking space specific position information and the position information of the target vehicle to be parked are subjected to the path parameter configuration, so that N parking space specific information and the like of the position where parking can be performed can be determined. The journey parameters comprise journey distance from the current position of the target vehicle to the random parking space and journey information. The parking position is a parking space which can be reached by the target vehicle in all the remaining parking spaces in the target parking area.
And 350, carrying out parking optimization on the N parking positions, and determining optimal parking information.
For example, parking optimization is performed on the N parking positions, and optimal parking information is determined. Specifically, the optimal parking information includes an optimal path and an optimal position, wherein the optimal position is from a current position of the target vehicle to a nearest parking position, and the optimal path is a shortest parking path from the current position of the target vehicle to the parking position. Wherein each parking location may have a plurality of parking paths. And selecting an optimal path based on the optimal position, namely extracting the shortest parking path according to a plurality of paths from the target vehicle to the nearest parking position, generating the optimal parking path, and taking the optimal position and the optimal path as optimal parking information.
And 360, performing intelligent parking management on the target vehicle according to the optimal parking information.
For example, intelligent parking management is performed on the target vehicle according to the optimal parking information. Specifically, parking is performed according to the nearest parking position and the shortest parking path in the optimal parking information.
The vehicle taking is also an important ring of intelligent parking lot construction, because the existing parking lots are large and divided into multiple layers, a vehicle owner often needs to expend great effort to find the parking position of the vehicle owner when taking the vehicle, and because the data sharing analysis advantage is obtained based on identification analysis, the vehicle taking is intelligent
Fig. 4 is a schematic diagram of a flow 400 of an intelligent vehicle taking management method according to an embodiment of the present invention. In some embodiments, the process 400 may be performed based on an identity resolved data sharing system. As shown in fig. 4, the process 400 includes:
in step 410, parking data is obtained by identifying the parsing means and the parking lot basis information.
For example, the identification resolution means acquires the parked data by identifying the unique license plate number code.
Step 420, acquiring target parking space position information based on the parking space allowance data and the target parking area parking space basic information;
step 430, positioning the position of the target vehicle according to the vehicle owner positioning information and the target parking area map, and determining the position information of the target vehicle;
step 440, according to the distance parameter of the data center station configuration, recording parking time and the like, acquiring evaluation information through the application terminal APP, wherein the evaluation information comprises recommended routes and fees;
and 450, based on the evaluation information, intelligent vehicle taking is realized.
Meanwhile, the invention also discloses a data sharing device based on identification analysis, which comprises a processor and a memory; the memory is configured to store instructions that, when executed by the processor, cause the apparatus to implement the identity resolution based data sharing system of any of the above.
Meanwhile, the invention also discloses a computer readable storage medium, wherein the storage medium stores computer instructions, and when the computer reads the computer instructions in the storage medium, the computer runs the data sharing system based on the identification analysis.
In summary, the technical scheme of the invention can realize automatic acquisition, reading and automatic coding uploading of the data in the intelligent parking field. By installing the device at the position capable of identifying the license plate number, the in-out information of the vehicle is acquired, so that the in-out information of the vehicle is recorded and transmitted into the system, and data interaction among areas, industries and departments, intercommunication of multi-source heterogeneous identification and resource sharing are realized. The marking device is arranged in front of the parking space, so that the parking state of the current position can be uniquely captured, and the parking state and the residual position information are updated in real time, so that the purpose of intelligent management of the parking lot is achieved. Based on the mobile phone end positioning system, parking information records of a parking lot, and intelligent pushing of parking space position information and distance parameters, the purpose of the intelligent pushing is to achieve intelligent assistance in taking vehicles in some large-scale parking lots, so that closed-loop management of intelligent parking is achieved.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (10)
1. The data sharing method based on the identification analysis is characterized by comprising the following steps:
acquiring a parking lot identification node based on an identification analysis system;
determining equipment production identification nodes based on the parking lot identification nodes and the identification analysis system;
acquiring equipment basic information of a parking lot, and generating equipment information registration nodes;
and determining device related information for identifying the device based on the preset key information.
2. An intelligent parking management method applying the identification resolution data sharing method according to claim 1, comprising:
obtaining parking space allowance data of a target parking area through the identification analysis device and the basic information of the parking lot;
acquiring specific position information of the residual parking space based on the parking space residual data and basic information of the parking space of the target parking area;
positioning the position of the target vehicle according to the vehicle positioner and the target parking area map, and determining the position information of the target vehicle;
carrying out path parameter configuration on the specific position information of the allowance parking space and the position information of the target vehicle to be parked, and determining the number N of the positions capable of parking and the position information thereof;
performing parking optimization on the N parking positions, and determining optimal parking information;
and carrying out intelligent parking management on the target vehicle according to the optimal parking information.
3. The method according to claim 2, wherein obtaining parking space remaining data of the target parking area through the identification analysis device and the parking space basic information comprises:
based on the identification analysis device, through identifying the unique code of the license plate number and transmitting to the secondary node for unified planning, all parking space information of no vehicles parked in the target parking lot is counted, so that the parking space allowance data are obtained.
4. The method of claim 2, wherein the base information of the target parking area parking space includes an in-vehicle volume, an out-vehicle volume, and a parking space allowance information.
5. The method of claim 2, wherein the range parameters include range distance of the current location of the target vehicle to the random parking spot and path information; the parking positions are parking spaces which can be reached by the target vehicle in all the remaining parking spaces in the target parking area.
6. The method of claim 2, wherein the optimal parking information includes an optimal path and an optimal location, wherein the optimal location includes a current location of the target vehicle to a nearest parking location, and wherein the optimal path includes a shortest parking path from the current location of the target vehicle to the parking location.
7. An intelligent vehicle pick-up management method applying the identification resolution data sharing method as claimed in claim 1, comprising:
obtaining parking data through the identification analysis device and the basic information of the parking lot;
acquiring target parking space position information based on the parking space allowance data and the target parking area parking space basic information;
positioning the position of the target vehicle according to the vehicle owner positioning information and the target parking area map, and determining the position information of the target vehicle;
according to the data center table configuration distance parameters, recording parking time and the like, acquiring evaluation information through an application terminal APP, wherein the evaluation information comprises recommended routes and fees;
based on the evaluation information, intelligent vehicle taking is achieved.
8. A data sharing system based on identity resolution, comprising:
the data acquisition system is used for executing the acquisition of the demand data;
the data center is used for managing and maintaining the data acquisition system; storing, managing and maintaining real-time parking data, responding to a user request in time, and providing data for inquiring a historical data system; storing the related data analysis results so as to timely respond to the request of the user side about the historical data analysis results; storing, managing and maintaining the user information and timely responding to various requests from the user;
and the user side is used for sending out instructions and acquiring recommendation information.
9. A data sharing apparatus based on identity resolution, characterized in that the apparatus comprises at least one memory and at least one processor, the at least one memory being configured to store computer instructions, the at least one processor executing the computer instructions or part of the instructions to implement the data sharing method based on identity resolution of claim 1.
10. A computer-readable storage medium storing computer instructions that, when read by a computer, perform the identity resolution based data sharing method of claim 1.
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| CN118014404A (en) * | 2024-04-08 | 2024-05-10 | 绿城科技产业服务集团有限公司 | Intelligent optimization method and system based on parking lot system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118014404A (en) * | 2024-04-08 | 2024-05-10 | 绿城科技产业服务集团有限公司 | Intelligent optimization method and system based on parking lot system |
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