CN111681444A - Parking management method and device based on big data analysis - Google Patents
Parking management method and device based on big data analysis Download PDFInfo
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/148—Management of a network of parking areas
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
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- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G08G1/00—Traffic control systems for road vehicles
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- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/042—Detecting movement of traffic to be counted or controlled using inductive or magnetic detectors
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/149—Traffic control systems for road vehicles indicating individual free spaces in parking areas coupled to means for restricting the access to the parking space, e.g. authorization, access barriers, indicative lights
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Abstract
The embodiment of the invention provides a parking management method and device based on big data analysis, which are based on the Internet of things monitoring and automatic control technology, converge a large amount of equipment operation and maintenance data and human intervention data (such as geomagnetic induction delay, system charging delay and the like) in the parking management process, and form a production model for automatic diagnosis, operation and maintenance and management by combining with data such as customer complaints, feedback and the like. By monitoring the running states and parameters of a software system and equipment in the parking process and performing machine learning, analysis, diagnosis and decision through a decision tree algorithm, the parking charging and customer service system is assisted, the system fault positioning early warning and automatic operation and maintenance control are realized, and the high-reliability automatic parking operation and maintenance management system is formed. The system automatically diagnoses, manages, operates and maintains, reduces manpower, improves the standardization and scale of the parking management industry, reduces the cost and improves the benefit.
Description
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a parking management method and device based on big data analysis.
Background
With the development of economy and technology and the improvement of living standard of people, the replacement of tools for riding instead of walk is more and more common, and the shortage of parking places is followed. At present, people who drive private cars to go on a trip often spend a lot of time to look for the place when parking, and each shopping mall and district are increasingly big to the demand in large-scale underground parking area, but large-scale underground parking area often has the shape of landing an earth and is complicated, empty parking stall is difficult to find, the circuit is unclear, holiday peak jam scheduling problem, and probably can only stop in the place far away from the destination in addition, wastes time and energy and wastes oil, has brought very big inconvenience for people.
At present, due to the fact that property or parking lot managers in a parking lot are low in quality of overall information, low in large-scale management degree of parking lot operation and maintenance, and scattered in geographical positions of the parking lot, the informatization and automation level needs to be improved, manual operation and maintenance management cost is high, parking equipment is complex, tolerance of users to faults is low, and faults are difficult to find and detect actively.
Disclosure of Invention
The embodiment of the invention provides a parking management method and device based on big data analysis, which are based on the Internet of things monitoring and automatic control technology, converge a large amount of equipment operation and maintenance data and human intervention data in the parking management process, such as geomagnetic induction delay, system charging delay and the like, and form a production model for automatic diagnosis, operation and maintenance and management by combining with data such as customer complaints, feedback and the like.
In a first aspect, an embodiment of the present invention provides a parking management method based on big data analysis, including:
acquiring equipment operation data and service log data in real time, calculating service operation parameters and equipment control parameters based on a trained parking service model, and analyzing service and system states;
and controlling the vehicle passing terminal based on the equipment control parameters, obtaining a payment state based on the service operation parameters, and issuing the vehicle to the main terminal.
Preferably, before the parking service model based on training, the method further comprises:
and establishing parking service grids under different parking scenes based on the parking service models, wherein the parking scenes comprise an imminent parking scene, a monthly card scene, a VIP scene and a special vehicle scene so as to manage the entrance service, the exit service and the payment service under different scenes.
Preferably, the controlling the vehicle passing terminal based on the device control parameter specifically includes:
and issuing the equipment control parameters to a vehicle passing terminal so as to control the barrier gate and the geomagnetic operation.
Preferably, the method includes obtaining a payment status based on the service operation parameter, and issuing a vehicle owner terminal, and specifically includes:
and obtaining a parking scene based on the parking service model, obtaining the vehicle entrance/exit state based on the parking scene, and sending payment reissue parameters to a vehicle main terminal to confirm the service process if the vehicle needs to be paid by judgment.
Preferably, the method further comprises the following steps:
and acquiring system early warning data based on the service and the system state, and sending the system early warning data to the customer service and the operation and maintenance terminal to remind the customer service and the operation and maintenance terminal to carry out maintenance operation.
Preferably, the method further comprises the following steps:
and acquiring the calling data of the vehicle owner and the intervention data of the customer service, uploading the calling data and the intervention data to a data center for feedback calculation, and acquiring and uploading the latest maintained equipment control parameters to the data center.
Preferably, the method further comprises the following steps:
and adjusting the model operation parameters and the threshold value based on the call data, the customer service intervention data and the latest equipment control parameter.
In a second aspect, an embodiment of the present invention provides a parking management apparatus based on big data analysis, including:
the acquisition terminal is used for acquiring equipment operation data and service log data in real time;
the analysis end is used for calculating service operation parameters and equipment control parameters based on the trained parking service model and analyzing service and system states;
and the service end is used for controlling the vehicle passing terminal based on the equipment control parameters, obtaining a payment state based on the service operation parameters and issuing the vehicle to the main terminal.
In a third aspect, an embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the steps of the parking management method based on big data analysis according to the embodiment of the first aspect of the present invention.
In a fourth aspect, embodiments of the present invention provide a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the big data analysis-based parking management method according to the embodiments of the first aspect of the present invention.
According to the parking management method and device based on big data analysis, provided by the embodiment of the invention, based on the internet of things monitoring and automatic control technology, a large amount of equipment operation and maintenance data and human intervention data (such as geomagnetic induction delay, system charging delay and the like) in the parking management process are gathered, and a production model for automatic diagnosis, operation and maintenance and management can be formed by combining data such as customer complaints and feedback. By monitoring the running states and parameters of a software system and equipment in the parking process and performing machine learning, analysis, diagnosis and decision through a decision tree algorithm, the parking charging and customer service system is assisted, the system fault positioning early warning and automatic operation and maintenance control are realized, and the high-reliability automatic parking operation and maintenance management system is formed. The system automatically diagnoses, manages, operates and maintains, reduces manpower, improves the standardization and scale of the parking management industry, reduces the cost and improves the benefit.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a block flow diagram of a method for parking management based on big data analysis according to an embodiment of the present invention;
FIG. 2 is a system workflow diagram according to an embodiment of the invention;
fig. 3 is a schematic physical structure diagram according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present 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 terms "first" and "second" in the embodiments of the present application are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, the terms "comprise" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a system, product or apparatus that comprises a list of elements or components is not limited to only those elements or components but may alternatively include other elements or components not expressly listed or inherent to such product or apparatus. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
At present, in a parking lot, due to the fact that property or parking lot managers are low in quality of overall information, low in large-scale management degree of parking lot operation and maintenance, and scattered in geographical positions of the parking lot, the informatization and automation level needs to be improved, parking equipment is complex due to high manual operation and maintenance management cost, a user is low in fault tolerance, and faults are difficult to find and detect actively.
The traditional parking lot is being subjected to large-scale networking transformation and is upgraded to a cloud parking lot; and the existing parking lot has low data utilization rate. The prior art mainly focuses on parking charging and management, and after the system is upgraded to a cloud parking lot and manual labor is reduced, a method for effectively solving the problem of stable and reliable operation of the system is not provided.
Therefore, the embodiment of the invention is based on the internet of things monitoring and automatic control technology, a large amount of equipment operation and maintenance data and human intervention data (such as geomagnetic induction delay, system charging delay and the like) in the parking management process are gathered, and a production model for automatic diagnosis, operation and maintenance and management can be formed by combining the data such as customer complaints, feedback and the like. By monitoring the running states and parameters of a software system and equipment in the parking process and performing machine learning, analysis, diagnosis and decision through a decision tree algorithm, the parking charging and customer service system is assisted, the system fault positioning early warning and automatic operation and maintenance control are realized, and the high-reliability automatic parking operation and maintenance management system is formed. The system automatically diagnoses, manages, operates and maintains, reduces manpower, improves the standardization and scale of the parking management industry, reduces the cost and improves the benefit. The following description and description will proceed with reference being made to various embodiments.
Fig. 1 and fig. 2 provide a parking management method based on big data analysis for an embodiment of the present invention, including:
acquiring equipment operation data and service log data in real time, calculating service operation parameters and equipment control parameters based on a trained parking service model, and analyzing service and system states;
and controlling the vehicle passing terminal based on the equipment control parameters, obtaining a payment state based on the service operation parameters, and issuing the vehicle to the main terminal.
In the embodiment, by monitoring the operating states and parameters of a software system and equipment in the parking process, machine learning, analysis, diagnosis and decision making are performed through a decision tree algorithm, a parking charging and customer service system is assisted, system fault positioning early warning and automatic operation and maintenance control are realized, and a high-reliability automatic parking operation and maintenance management system is formed. The whole process needs various experts such as intelligent equipment control technology, data modeling, big data management and the like.
The scheme of the embodiment mainly comprises the following steps:
1. acquiring program through a terminal, acquiring equipment operation and service log data in real time, and uploading the data to a data center through a network;
2. through a preset parking service model, the data center performs classified learning on service data in time, calculates service operation parameters, and analyzes service and system states and equipment control parameters;
3. and issuing the equipment control parameters to an equipment terminal to control the operation of equipment such as a barrier gate, geomagnetism and the like.
On the basis of the above embodiment, before the parking service model based on training, the method further includes:
and establishing parking service grids under different parking scenes based on the parking service models, wherein the parking scenes comprise an imminent parking scene, a monthly card scene, a VIP scene and a special vehicle scene so as to manage the entrance service, the exit service and the payment service under different scenes.
On the basis of the above embodiments, controlling a vehicle passing terminal based on the device control parameter specifically includes:
and issuing the equipment control parameters to a vehicle passing terminal so as to control the barrier gate and the geomagnetic operation.
On the basis of the above embodiments, a payment state is obtained based on the service operation parameter, and a vehicle owner terminal is issued, which specifically includes:
and obtaining a parking scene based on the parking service model, obtaining the vehicle entrance/exit state based on the parking scene, and sending payment reissue parameters to a vehicle main terminal to confirm the service process if the vehicle needs to be paid by judgment.
In this embodiment, the method further includes:
4. and issuing the payment reissue parameters to a vehicle main terminal (a mobile phone or a computer) for service flow confirmation.
The parking service model comprises:
(1) establishing grids for services such as entrance, exit, payment and the like under the scenes of temporary stop, monthly cards, VIP, special vehicles and the like;
(2) service functions such as system software and hardware, a server, a network and the like run a monitoring grid;
(3) the service log is fed back to the grid;
(4) establishing an unknown grid region, and performing manual intervention and model feedback;
(5) in practical application, flexible adjustment is needed to meet different scene requirements, local dynamic increase and decrease of grids, and adaptive change of software, hardware and system operation parameters are required, so that accumulated learning of a large number of service scenes and operation logs is needed.
On the basis of the above embodiments, the method further includes:
and acquiring system early warning data based on the service and the system state, and sending the system early warning data to the customer service and the operation and maintenance terminal to remind the customer service and the operation and maintenance terminal to carry out maintenance operation.
In this embodiment, the method further includes:
5. sending the system early warning to a customer service and operation and maintenance end (a mobile phone or a computer) to carry out active maintenance operation on the equipment;
on the basis of the above embodiments, the method further includes:
and acquiring the calling data of the vehicle owner and the intervention data of the customer service, uploading the calling data and the intervention data to a data center for feedback calculation, and acquiring and uploading the latest maintained equipment control parameters to the data center.
In this embodiment, the method further includes:
6. uploading the vehicle owner calling and customer service intervention data to a data center for feedback calculation;
7. data acquisition is carried out after equipment control and maintenance, and the result is uploaded to a data center for confirmation;
on the basis of the above embodiments, the method further includes:
8. and adjusting the model operation parameters and the threshold value based on the call data, the customer service intervention data and the latest equipment control parameter.
The method of the embodiment of the invention has the following advantages:
the parking management benefits are improved, scientific decision and accurate regulation and control can be rapidly carried out on the parking process through the acquisition and analysis of equipment and service data, the system error rate is reduced, and unmanned parking lot management is realized;
the quality of the parking industry is improved, the Internet of things and big data technology are deeply integrated with the parking service, technical transformation and innovation of a traditional parking system are realized, the system error rate and operation and maintenance time are reduced, a manager is helped to improve the system stability and customer satisfaction, the safety and quality of the parking industry are improved in a large range, and the output value and profit of the industry are improved;
and thirdly, scientifically guiding parking management and operation and maintenance through data accumulation and analysis of a large number of service scenes, performing service calculation templating, parking passing automation and system operation and maintenance intellectualization, and helping managers to realize standardized and large-scale parking management and operation and maintenance.
The embodiment of the invention also provides a parking management device based on big data analysis, and the parking management method based on big data analysis in the embodiments comprises the following steps:
the acquisition terminal is used for acquiring equipment operation data and service log data in real time;
the analysis end is used for calculating service operation parameters and equipment control parameters based on the trained parking service model and analyzing service and system states;
and the service end is used for controlling the vehicle passing terminal based on the equipment control parameters, obtaining a payment state based on the service operation parameters and issuing the vehicle to the main terminal.
Fig. 3 illustrates an entity structure diagram, and as shown in fig. 3, the server may include: a processor (processor)310, a communication Interface (communication Interface)320, a memory (memory)330 and a communication bus 340, wherein the processor 310, the communication Interface 320 and the memory 330 communicate with each other via the communication bus 340. The processor 310 may call logic instructions in the memory 330 to perform the following method:
acquiring equipment operation data and service log data in real time, calculating service operation parameters and equipment control parameters based on a trained parking service model, and analyzing service and system states;
and controlling the vehicle passing terminal based on the equipment control parameters, obtaining a payment state based on the service operation parameters, and issuing the vehicle to the main terminal.
In addition, the logic instructions in the memory 330 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In a fourth aspect, embodiments of the present invention provide a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the big data analysis-based parking management method according to the embodiments of the first aspect of the present invention. Examples include:
acquiring equipment operation data and service log data in real time, calculating service operation parameters and equipment control parameters based on a trained parking service model, and analyzing service and system states;
and controlling the vehicle passing terminal based on the equipment control parameters, obtaining a payment state based on the service operation parameters, and issuing the vehicle to the main terminal.
In summary, the parking management method and apparatus based on big data analysis provided in the embodiments of the present invention converge a large amount of equipment operation and maintenance data and human intervention data (such as geomagnetic induction delay, system charging delay, etc.) in the parking management process based on the internet of things monitoring and automation control technology, and form a "production model" for automated diagnosis, operation and maintenance and management in combination with data such as customer complaints and feedback. By monitoring the running states and parameters of a software system and equipment in the parking process and performing machine learning, analysis, diagnosis and decision through a decision tree algorithm, the parking charging and customer service system is assisted, the system fault positioning early warning and automatic operation and maintenance control are realized, and the high-reliability automatic parking operation and maintenance management system is formed. The system automatically diagnoses, manages, operates and maintains, reduces manpower, improves the standardization and scale of the parking management industry, reduces the cost and improves the benefit.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A parking management method based on big data analysis is characterized by comprising the following steps:
acquiring equipment operation data and service log data in real time, calculating service operation parameters and equipment control parameters based on a trained parking service model, and analyzing service and system states;
and controlling the vehicle passing terminal based on the equipment control parameters, obtaining a payment state based on the service operation parameters, and issuing the vehicle to the main terminal.
2. The big data analysis-based parking management method according to claim 1, further comprising, before the trained parking service model:
and establishing parking service grids under different parking scenes based on the parking service models, wherein the parking scenes comprise an imminent parking scene, a monthly card scene, a VIP scene and a special vehicle scene so as to manage the entrance service, the exit service and the payment service under different scenes.
3. The parking management method based on big data analysis according to claim 1, wherein controlling a vehicle passing terminal based on the device control parameter specifically comprises:
and issuing the equipment control parameters to a vehicle passing terminal so as to control the barrier gate and the geomagnetic operation.
4. The parking management method based on big data analysis according to claim 2, wherein a payment status is obtained based on the service operation parameters, and the payment status is issued to the vehicle owner, specifically comprising:
and obtaining a parking scene based on the parking service model, obtaining the vehicle entrance/exit state based on the parking scene, and sending payment reissue parameters to a vehicle main terminal to confirm the service process if the vehicle needs to be paid by judgment.
5. The big data analysis-based parking management method according to claim 1, further comprising:
and acquiring system early warning data based on the service and the system state, and sending the system early warning data to the customer service and the operation and maintenance terminal to remind the customer service and the operation and maintenance terminal to carry out maintenance operation.
6. The big data analysis-based parking management method according to claim 5, further comprising:
and acquiring the calling data of the vehicle owner and the intervention data of the customer service, uploading the calling data and the intervention data to a data center for feedback calculation, and acquiring and uploading the latest maintained equipment control parameters to the data center.
7. The big data analysis-based parking management method according to claim 6, further comprising:
and adjusting the model operation parameters and the threshold value based on the call data, the customer service intervention data and the latest equipment control parameter.
8. A parking management device based on big data analysis is characterized by comprising:
the acquisition terminal is used for acquiring equipment operation data and service log data in real time;
the analysis end is used for calculating service operation parameters and equipment control parameters based on the trained parking service model and analyzing service and system states;
and the service end is used for controlling the vehicle passing terminal based on the equipment control parameters, obtaining a payment state based on the service operation parameters and issuing the vehicle to the main terminal.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the big data analysis based parking management method according to any of claims 1 to 7.
10. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the steps of the big data analysis based parking management method according to any of claims 1 to 7.
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