Internet of Things park terminal equipment intelligent management system

Through the intelligent management system of terminal equipment in the Internet of Things park, using vehicle information management, intelligent parking space management and intelligent control modules, the problem of inaccurate vehicle transfer decisions in traditional parking lot management is solved, and efficient and intelligent parking space management is achieved.

CN119694156AInactive Publication Date: 2025-03-25SHANGHAI TAIYIMAO INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202411553465.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-05-22
Publication Date
2025-03-25
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional parking lot management methods are difficult to accurately control the vehicle's movement, resulting in the vehicle not moving to the second floor in time or frequently moving, resulting in the problem of parking difficulties and the problem of long waiting time for users.

Method used

Design an intelligent management system for terminal equipment in the Internet of Things park, including vehicle information management module, parking space intelligent management module and intelligent control module. Through real-time collection of vehicle information and dynamic analysis of parking space utilization and priority scheduling algorithms, intelligent control of the movement of mechanical parking spaces.

Benefits of technology

It realizes the efficiency and accuracy of vehicle transfer, improves the utilization rate of parking spaces, reduces the waiting time for users to pick up cars, and improves the intelligence and efficiency of parking management.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an Internet of Things park terminal equipment intelligent management system, which comprises a vehicle information management module, a parking space intelligent management module and an intelligent control module, and is characterized in that the vehicle information management module is used for acquiring and maintaining basic information of vehicles in a park and ensuring that real-time and accurate association is established between the information and parking spaces; the parking space intelligent management module is used for analyzing the real-time state of a park parking lot and intelligently making a decision, and the intelligent control module is used for achieving intelligent control over the parking lot and ensuring high efficiency and accuracy of vehicle moving. The vehicle information management module, the parking space intelligent management module and the intelligent control module are connected with one another through electric signals, and the system has the advantages of optimizing vehicle moving decisions and being high in practicability.
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Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to an intelligent management system for terminal equipment in an Internet of Things park. Background Art

[0002] With the continuous development of urbanization, the increase in the number of vehicles in the park has made parking difficult a common problem. Traditional parking lot management methods usually use mechanical parking spaces to make full use of limited parking space. However, in traditional mechanical parking space management, the decision to move parked vehicles to the second floor is usually difficult to accurately control. This leads to some vehicles failing to move to the second floor in time, resulting in the problem that subsequent vehicles cannot park. On the contrary, moving vehicles parked on the first floor to the second floor too frequently will cause users to wait for staff to operate when picking up their cars, which is inefficient. At the same time, due to the lack of intelligent decision-making, it is often necessary to manually move parked vehicles to the second floor through mechanical parking spaces on site to free up space on the first floor. This not only wastes the user's time, but may also lead to problems such as being late for work. Therefore, it is necessary to design an intelligent management system for IoT park terminal equipment that optimizes vehicle movement decisions and is highly practical. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent management system for terminal equipment in an Internet of Things park to solve the problems raised in the above-mentioned background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent management system for terminal equipment in an Internet of Things park, comprising a vehicle information management module, a parking space intelligent management module and an intelligent control module. The vehicle information management module is used to obtain and maintain basic information of vehicles in the park, and ensure that real-time and accurate associations are established between this information and parking spaces. The parking space intelligent management module is used to analyze and make intelligent decisions on the real-time status of the park parking lot. The intelligent control module is used to realize intelligent control of the parking lot to ensure the efficiency and accuracy of vehicle movement. The vehicle information management module, the parking space intelligent management module and the intelligent control module are connected to each other via electrical signals.

[0005] According to the above technical solution, the vehicle information management module includes a vehicle information collection submodule and an interactive binding submodule. The vehicle information collection submodule is used to obtain relevant information of vehicles registered in the park through sensors, including the vehicle owner, license plate number, and vehicle type. The interactive binding submodule is used to interactively bind the vehicle information with the mechanical parking space in real time to establish a corresponding relationship between the vehicle and the parking space.

[0006] According to the above technical solution, the parking space intelligent management module includes a preparation mechanical parking space module and a time scheduling module. The preparation mechanical parking space module is used to move vehicles in advance through dynamic parking space utilization analysis and priority scheduling algorithm, and the time scheduling module is used to predict the user's commuting time and intelligently schedule mechanical parking spaces.

[0007] According to the above technical solution, the preparation mechanical parking space module further includes a dynamic parking space utilization analysis submodule and a priority scheduling algorithm submodule. The dynamic parking space utilization analysis submodule is used to analyze the dynamic parking space utilization of the parking lot and determine the best time to prepare mechanical parking spaces. The priority scheduling algorithm submodule is used to analyze and calculate the priority of moving vehicles. The time scheduling module further includes a user commuting prediction submodule and a mechanical parking space intelligent scheduling submodule. The user commuting prediction submodule is used to predict the commuting time of park users based on historical data and user attendance patterns. The mechanical parking space intelligent scheduling submodule is used to combine user commuting time with dynamic parking space utilization to intelligently schedule mechanical parking spaces.

[0008] According to the above technical solution, the intelligent control module includes an intelligent control sub-module and a user notification sub-module. The intelligent control sub-module is used to intelligently control the movement of mechanical parking spaces based on real-time monitoring of the usage of the parking lot. The user notification sub-module is used to provide users with an interface for checking the vehicle status at any time and to notify users in advance that the vehicle has been moved.

[0009] According to the above technical solution, the operation method of the IoT park terminal equipment intelligent management system includes the following steps:

[0010] Step S1: collect basic information of vehicles in the park in real time through sensors and other equipment, including license plate number, owner information, and vehicle type;

[0011] Step S2: interactively binding the collected vehicle information with the mechanical parking space in real time to establish a corresponding relationship between the vehicle and the parking space;

[0012] Step S3: using the real-time parking lot information collected from vehicle information and applying a dynamic parking space utilization rate analysis algorithm to calculate the parking space utilization rate of the parking lot in real time;

[0013] Step S4: Based on the dynamic parking space utilization rate, a priority scheduling algorithm is used to determine the priority of the vehicles that need to be moved, and a priority plan is formed;

[0014] Step S5: according to the priority plan, the mechanical parking spaces are activated in advance, and the vehicles that are about to leave are moved to the lower level of the mechanical parking spaces, so that the vehicles can leave directly after the arrival of the owners, thus releasing the vacant parking spaces;

[0015] Step S6: Count the peak hours of the park. When it is at peak hours, set the upper limit of the lowest reserved space on the lower floor to move vehicles in advance and reserve more direct parking spaces on the lower floor to avoid congestion in the parking lot and improve the overall traffic flow;

[0016] Step S7: real-time monitoring of parking lot usage and intelligent control of mechanical parking space movement to maximize parking space utilization;

[0017] Step S8: When the user's vehicle is moved, a notification is sent to the user through the binding information, and the user can enter the system's user interface at any time to check the vehicle status and parking space situation.

[0018] According to the above technical solution, step S3 further includes the following steps:

[0019] Step S31: Obtain the number of parked vehicles y, the number of vacant parking spaces x, and the time point t in the parking lot;

[0020] Step S32: Calculate the real-time dynamic parking space utilization rate l,

[0021] Step S33: judging the current time period and working day status according to the time point t information;

[0022] Step S34: using historical data and real-time information, obtaining real-time information and referring to the trend slope k of historical data, and performing trend planning after extending the slope k;

[0023] Step S35: Analyze and output the dynamic parking space utilization rate L according to the trend and the future time period to be predicted.

[0024] According to the above technical solution, step S4 further includes the following steps:

[0025] Step S41: acquiring vehicle data about to leave the parking lot according to the user-side vehicle information bound to the park parking lot;

[0026] Step S42: Calculate the dispatch priority index R of each vehicle based on the dynamic parking space utilization rate;

[0027] Where w is the estimated time for the owner of the vehicle that is about to leave the parking lot to arrive at the parking lot, q is the vehicle type weight, including ordinary vehicles and VIP vehicles, where the weight of VIP vehicles is greater than that of ordinary vehicles;

[0028] Step S43: According to the calculated priority index, a vehicle movement plan is formulated to determine which vehicle is to be moved from the upper level to the lower level of the mechanical parking space first. The vehicle with a higher priority index will be moved earlier.

[0029] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention can intelligently manage mechanical parking spaces in the park parking lot by acquiring and interactively binding the information of registered vehicles in the park, thereby improving the overall level of parking management, and intelligently sensing the entry and exit time of user vehicles through terminal devices, making preparations for vehicle movement in advance, and accurately grasping vehicle movement decisions, thereby improving the utilization rate of parking spaces, reducing the waiting time for users to pick up their vehicles, and realizing intelligent and efficient parking management. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0031] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] See also Figure 1 The present invention provides a technical solution: an intelligent management system for terminal equipment in an Internet of Things park, comprising a vehicle information management module, a parking space intelligent management module and an intelligent control module. The vehicle information management module is used to obtain and maintain basic information of vehicles in the park, and ensure that real-time and accurate association is established between this information and parking spaces. The parking space intelligent management module is used to analyze and make intelligent decisions on the real-time status of the park parking lot. The intelligent control module is used to realize intelligent control of the parking lot to ensure the efficiency and accuracy of vehicle movement. The vehicle information management module, the parking space intelligent management module and the intelligent control module are connected to each other through electrical signals; by acquiring and interactively binding the information of registered vehicles in the park, the mechanical parking spaces in the park parking lot can be intelligently managed to improve the overall level of parking management, and the terminal equipment can intelligently perceive the entry and exit time of the user's vehicle, prepare for vehicle movement in advance, and accurately grasp the vehicle movement decision, thereby improving the utilization rate of parking spaces, reducing the waiting time for users to pick up vehicles, and realizing intelligent and efficient parking management.

[0034] The vehicle information management module includes a vehicle information collection submodule and an interactive binding submodule. The vehicle information collection submodule is used to obtain relevant information of vehicles registered in the park through sensors, including the vehicle owner, license plate number, and vehicle type. The interactive binding submodule is used to interactively bind the vehicle information with the mechanical parking space in real time to establish a corresponding relationship between the vehicle and the parking space.

[0035] The intelligent parking space management module includes a reserve mechanical parking space module and a time scheduling module. The reserve mechanical parking space module is used to move vehicles in advance through dynamic parking space utilization analysis and priority scheduling algorithm. The time scheduling module is used to predict user commuting time and intelligently schedule mechanical parking spaces.

[0036] The preparation mechanical parking space module further includes a dynamic parking space utilization analysis submodule and a priority scheduling algorithm submodule. The dynamic parking space utilization analysis submodule is used to analyze the dynamic parking space utilization of the parking lot and determine the optimal time to prepare mechanical parking spaces. The priority scheduling algorithm submodule is used to analyze and calculate the priority of moving vehicles. The time scheduling module further includes a user commuting prediction submodule and a mechanical parking space intelligent scheduling submodule. The user commuting prediction submodule is used to predict the commuting time of park users based on historical data and user attendance patterns. The mechanical parking space intelligent scheduling submodule is used to combine user commuting time with dynamic parking space utilization to intelligently schedule mechanical parking spaces.

[0037] The intelligent control module includes an intelligent control submodule and a user notification submodule. The intelligent control submodule is used to intelligently control the movement of mechanical parking spaces based on real-time monitoring of parking lot usage. The user notification submodule is used to provide users with an interface for checking the vehicle status at any time and to notify users in advance that the vehicle has been moved.

[0038] The operation method of the IoT park terminal equipment intelligent management system includes the following steps:

[0039] Step S1: collect basic information of vehicles in the park in real time through sensors and other equipment, including license plate number, owner information, and vehicle type;

[0040] Step S2: interactively binding the collected vehicle information with the mechanical parking space in real time to establish a corresponding relationship between the vehicle and the parking space;

[0041] Step S3: using the real-time parking lot information collected from vehicle information and applying a dynamic parking space utilization rate analysis algorithm to calculate the parking space utilization rate of the parking lot in real time;

[0042] Step S4: Based on the dynamic parking space utilization rate, a priority scheduling algorithm is used to determine the priority of the vehicles that need to be moved, and a priority plan is formed;

[0043] Step S5: according to the priority plan, the mechanical parking spaces are activated in advance, and the vehicles that are about to leave are moved to the lower level of the mechanical parking spaces, so that the vehicles can leave directly after the arrival of the owners, thus releasing the vacant parking spaces;

[0044] Step S6: Count the peak hours of the park. When it is at peak hours, set the upper limit of the lowest reserved space on the lower floor to move vehicles in advance and reserve more direct parking spaces on the lower floor to avoid congestion in the parking lot and improve the overall traffic flow;

[0045] Step S7: real-time monitoring of parking lot usage and intelligent control of mechanical parking space movement to maximize parking space utilization;

[0046] Step S8: When the user's vehicle is moved, a notification is sent to the user through the binding information, and the user can enter the system's user interface at any time to check the vehicle status and parking space situation.

[0047] Step S3 further comprises the following steps:

[0048] Step S31: Obtain the number of parked vehicles y, the number of vacant parking spaces x, and the time point t in the parking lot;

[0049] Step S32: Calculate the real-time dynamic parking space utilization rate l,

[0050] Step S33: judging the current time period and working day status according to the time point t information;

[0051] Step S34: using historical data and real-time information, obtaining real-time information and referring to the trend slope k of historical data, and performing trend planning after extending the slope k;

[0052] Step S35: Analyze and output the dynamic parking space utilization rate L according to the trend and the future time period to be predicted.

[0053] Step S4 further comprises the following steps:

[0054] Step S41: acquiring vehicle data about to leave the parking lot according to the user-side vehicle information bound to the park parking lot;

[0055] Step S42: Calculate the dispatch priority index R of each vehicle based on the dynamic parking space utilization rate;

[0056] Where w is the estimated time for the owner of the vehicle that is about to leave the parking lot to arrive at the parking lot, q is the vehicle type weight, including ordinary vehicles and VIP vehicles, where the weight of VIP vehicles is greater than that of ordinary vehicles; the dynamic parking space utilization rate is inversely proportional to the estimated time for the owner of the vehicle that is about to leave the parking lot to arrive at the parking lot. The smaller the time for the owner to arrive at the parking lot, the closer the time to use the vehicle is, and the higher the scheduling priority; the dynamic parking space utilization rate is also proportional to the dynamic parking space utilization rate and the vehicle type weight. The higher the parking space utilization rate of the parking lot, the more time is needed to move the vehicle in advance to facilitate the owner to arrive and leave directly, so as to avoid the owner's delay in moving to the lower level after arriving at the parking space due to the busy parking management of the park. At the same time, when the prerequisites are the same, the park VIP vehicles can enjoy a higher priority;

[0057] Step S43: According to the calculated priority index, a vehicle movement plan is formulated to determine which vehicle is to be moved from the upper level to the lower level of the mechanical parking space first. The vehicle with a higher priority index will be moved earlier.

[0058] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0059] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent management system for terminal equipment in an Internet of Things park, comprising a vehicle information management module, a parking space intelligent management module and an intelligent control module, characterized in that: The vehicle information management module is used to obtain and maintain basic information of vehicles in the park, and ensure that real-time and accurate association is established between this information and parking spaces. The parking space intelligent management module is used to analyze the real-time status of the park parking lot and make intelligent decisions. The intelligent control module is used to realize intelligent control of the parking lot to ensure the efficiency and accuracy of vehicle movement. The vehicle information management module, parking space intelligent management module and intelligent control module are connected to each other through electrical signals. The operation method of the IoT park terminal equipment intelligent management system comprises the following steps: Step S1: collect basic information of vehicles in the park in real time through sensor equipment, including license plate number, owner information, and vehicle type; Step S2: interactively binding the collected vehicle information with the mechanical parking space in real time to establish a corresponding relationship between the vehicle and the parking space; Step S3: using the collected real-time parking lot information and applying a dynamic parking space utilization rate analysis algorithm, the parking space utilization rate of the parking lot is calculated in real time; Step S4: Based on the dynamic parking space utilization rate, a priority scheduling algorithm is used to determine the priority of the vehicles that need to be moved, and a priority plan is formed; The step S4 further comprises the following steps: Step S41: acquiring vehicle data about to leave the parking lot according to the user-side vehicle information bound to the park parking lot; Step S42: Calculate the dispatch priority index R of each vehicle based on the dynamic parking space utilization rate; Where w is the estimated time for the owner of the vehicle that is about to leave the parking lot to arrive at the parking lot, q is the vehicle type weight, including ordinary vehicles and VIP vehicles, where the weight of VIP vehicles is greater than that of ordinary vehicles; Step S43: Formulate a vehicle moving plan based on the calculated priority index to determine which vehicle should be moved from the upper layer to the lower layer of the mechanical parking space first. The vehicle with a higher priority index will be moved earlier. Step S5: according to the priority plan, the mechanical parking spaces are activated in advance, and the vehicles that are about to leave are moved to the lower level of the mechanical parking spaces, so that the vehicles can leave directly after the arrival of the owners, thus releasing the vacant parking spaces; Step S6: Count the peak hours of the park. When it is at peak hours, set the upper limit of the lowest reserved space on the lower floor to move vehicles in advance and reserve more direct parking spaces on the lower floor to avoid congestion in the parking lot and improve the overall traffic flow; Step S7: real-time monitoring of parking lot usage and intelligent control of mechanical parking space movement to maximize parking space utilization; Step S8: When the user's vehicle is moved, a notification is sent to the user through the binding information, and the user can enter the system's user interface at any time to check the vehicle status and parking space situation. The step S3 further comprises the following steps: Step S31: Obtain the number of parked vehicles y, the number of vacant parking spaces x, and the time point t in the parking lot; Step S32: Calculate the real-time dynamic parking space utilization rate l, Step S33: judging the current time period and working day status according to the time point t information; Step S34: using historical data and real-time information, obtaining real-time information and referring to the trend slope k of historical data, and performing trend planning after extending the slope k; Step S35: Analyze and output the dynamic parking space utilization rate L according to the trend and the future time period to be predicted.