Intelligent parking guardrail

Abstract

The invention discloses an intelligent parking guardrail. The intelligent parking guardrail comprises an environment sensing module used for collecting environment parameters; the identity sensing module is used for identity recognition; the edge calculation module is used for local real-time decision making; the interaction module is used for information interaction; the learning module is used for being embodied in learning in operation and continuously performing self-optimization; according to the invention, a multi-mode, high-density and holographic sensing layer from single vision to a multi-dimensional environment is realized through the environment sensing module and the identity sensing module; an edge decision-making layer of the edge calculation module, a multi-element interaction layer of the interaction module and an autonomous evolution layer of the learning module are utilized; a four-layer architecture model of'perception-decision-interaction-evolution 'is formed, so that handrails of each intersection and each entrance are evolved into intelligent micro nodes which can be perceived, thinking, interacting and self-evolved, and a distributed'organic life body' with high toughness and self-adaptive capability is formed in the whole city.

Description

Technical Field

[0001] This invention belongs to the field of intelligent parking and relates to an intelligent parking guardrail. Background Technology

[0002] As global urbanization continues to deepen, the "parking difficulty" problem has evolved from a simple traffic management pain point into a complex systemic issue that restricts sustainable urban development, affects residents' quality of life, and impacts urban economic efficiency. Currently, smart parking barriers serve only as terminal execution units for parking management, with limited functionality and significant limitations in application. Summary of the Invention

[0003] In order to overcome at least one deficiency of the prior art, the present invention provides an intelligent parking guardrail.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: an intelligent parking guardrail, comprising... The environmental sensing module is used to collect environmental parameters; The identity awareness module is used for identity recognition; Edge computing modules are used for local real-time decision-making; The interactive module is used for information exchange; The learning module is designed to enable learning during operation and continuous self-optimization.

[0005] Furthermore, the environmental sensing module includes an air quality sensor, a meteorological micro-station, and vibration and acoustic sensors.

[0006] Furthermore, the atmospheric quality sensor monitors pollutant concentrations in real time; the meteorological micro-station collects parameters such as temperature, humidity, air pressure, wind speed, wind direction, noise level, and light intensity; the vibration and acoustic sensor analyzes ground vibration waveforms to accurately determine vehicle type, count traffic flow, and monitor the health status of road structures over long periods; and the acoustic sensor is used to detect abnormal sounds.

[0007] Furthermore, the identity perception module includes a multi-band RFID / UWB reader and a Bluetooth beacon / iBeacon.

[0008] Furthermore, the multi-band RFID / UWB reader is used to identify vehicles and interact with electronic tags or smartphones worn by pedestrians and non-motorized vehicle riders to provide electronic fence security monitoring for special groups in specific areas; the Bluetooth beacon / iBeacon is used for accurate positioning and navigation of vehicles indoors, while pushing personalized shopping mall discount information or vehicle location guidance to the owner's mobile phone.

[0009] Furthermore, the edge computing module is configured as an edge computing gateway, which incorporates a behavior analysis and security intervention module as well as a dynamic traffic strategy execution module.

[0010] Furthermore, the behavior analysis and security intervention module uses a locally running lightweight AI model to analyze video streams in real time and make autonomous decisions.

[0011] Furthermore, the dynamic traffic strategy execution module allows nodes to autonomously adjust their traffic strategies based on preset rules and real-time perceived traffic flow.

[0012] Furthermore, the interaction module includes a vehicle-road cooperative interface and a human-machine interface. The vehicle-road cooperative interface connects the parking barrier to the intelligent connected vehicle. The human-machine interface is used for displaying and interacting with diverse information.

[0013] Furthermore, the human-computer interaction interface includes an LED dot matrix screen, a touch screen, and a voice assistant. The LED dot matrix screen is used to display information or license plate numbers, as well as to publish real-time diversified information. The touch screen and voice assistant are used to provide pedestrians with services such as asking for directions, information inquiry, one-click call to customer service, or emergency assistance.

[0014] In summary, the advantages of this invention are: This invention achieves a multimodal, high-density, and holographic perception level from a single visual perspective to a multidimensional environment through an environmental perception module and an identity perception module; an edge decision-making level through an edge computing module; a multi-interaction level through an interaction module; and an autonomous evolution level through a learning module. This constitutes a four-layer architecture model of "perception-decision-interaction-evolution," enabling the railings at every intersection and entrance to evolve into intelligent micro-nodes that can perceive, think, interact, and self-evolve. The entire city will then form a distributed, highly resilient, and adaptive "organic life form." Attached Figure Description

[0015] Figure 1 This is a modular schematic diagram of the intelligent parking guardrail of the present invention. Detailed Implementation

[0016] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, unless otherwise specified, the following embodiments and features described therein can be combined with each other.

[0017] Example: like Figure 1 As shown, a smart parking barrier includes... The environmental sensing module is used to collect environmental parameters; The identity awareness module is used for identity recognition; Edge computing modules are used for local real-time decision-making; The interactive module is used for information exchange; The learning module is designed to enable learning during operation and continuous self-optimization; The environmental sensing module includes an air quality sensor, a meteorological micro-station, and vibration and acoustic sensors. Atmospheric quality sensor: Real-time monitoring of pollutant concentrations such as PM2.5, PM10, NO2, O3, and CO, with data accuracy down to the microgram / cubic meter level, providing source data for building high-resolution urban pollution maps.

[0018] Meteorological micro-stations collect parameters such as temperature, humidity, air pressure, wind speed, wind direction, noise levels (decibels), and light intensity. This data not only serves urban climate research but also provides decision-making support for adjusting parking lot lighting systems and managing the thermal properties of new energy vehicle batteries.

[0019] Vibration and acoustic sensors: By analyzing ground vibration waveforms, they can accurately determine vehicle types (such as distinguishing between private cars and heavy trucks), statistically analyze traffic flow, and monitor the long-term health of road structures. Acoustic sensors are used to detect abnormal sounds, such as safety incidents like vehicle collisions and broken glass.

[0020] The identity perception module includes a multi-band RFID / UWB reader and a Bluetooth beacon / iBeacon. Multi-band RFID / UWB reader: used to identify vehicles and interact with electronic tags or smartphones worn by pedestrians and non-motorized vehicle riders to achieve electronic fence security monitoring of special groups (such as the elderly and children) in specific areas; Bluetooth beacon / iBeacon: Used for precise vehicle positioning and navigation indoors, while also pushing personalized shopping mall offers or car-finding directions to the owner's mobile phone.

[0021] The edge computing module is set up as an edge computing gateway. The edge computing gateway has a built-in behavior analysis and security intervention module as well as a dynamic traffic policy execution module. The edge computing gateway is installed inside the parking barrier control box and is equipped with an AI acceleration chip with a certain computing power (such as NVIDIA Jetson series, Huawei Atlas series, etc.).

[0022] Behavior Analysis and Safety Intervention Module: Through a locally running lightweight AI model, video streams can be analyzed in real time. For example, when the system detects that a child suddenly runs towards the exit area while a vehicle is approaching, the edge node does not need to upload video data to the cloud and wait for instructions. It can make autonomous decisions within milliseconds, immediately triggering the audible and visual alarm device and sending instructions to the barrier gate to delay raising or urgently lower the gate, achieving extremely low-latency safety protection.

[0023] Dynamic traffic strategy execution module: Based on preset rules and real-time traffic flow, nodes can autonomously adjust their traffic strategies. For example, during morning rush hour, internal vehicles are automatically given priority; when exit congestion is detected, entry vehicles are temporarily restricted to prevent internal and external traffic flows from locking each other up.

[0024] The interaction module includes a vehicle-road cooperative interface and a human-machine interface; Vehicle-to-infrastructure (V2I) interface: This interface connects parking barriers with intelligent connected vehicles to enable high-speed, low-latency data exchange. Before a vehicle even approaches, it can receive information from the parking lot regarding available parking spaces, optimal routes, pricing, and even the real-time status of charging stations, achieving a truly "predictive" parking experience.

[0025] Human-computer interaction interface: used for displaying and interacting with diverse information.

[0026] The human-computer interaction interface includes an LED dot matrix screen, a touch screen, and a voice assistant. LED dot matrix screens are used to display information or license plate numbers, as well as to publish diverse information such as real-time traffic information, weather warnings, and promotions for nearby businesses.

[0027] Touchscreen and voice assistant: Used to provide pedestrians with services such as asking for directions, information inquiry, one-click call to customer service, or emergency assistance.

[0028] The learning module can retrieve hidden patterns in historical traffic data, environmental data, and user behavior data by setting up machine learning algorithms on edge nodes or in the cloud associated with them.

[0029] The learning module includes a predictive maintenance module and an adaptive resource scheduling module. The predictive maintenance module analyzes the motor's current, noise, and vibration data to predict potential faults in the gate's mechanical structure and issues maintenance warnings before problems occur.

[0030] The adaptive resource scheduling module learns traffic flow patterns under different dates, weather conditions, and surrounding events. For example, when it predicts a peak in customer traffic at the mall on weekends, the system can suggest to management in advance that they adjust pricing strategies or open up alternative parking areas, and automatically optimize the entry and exit logic.

[0031] Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort should fall within the scope of protection of the present invention.

Claims

1. A smart parking guardrail, characterized in that: include The environmental sensing module is used to collect environmental parameters; The identity awareness module is used for identity recognition; Edge computing modules are used for local real-time decision-making; The interactive module is used for information exchange; The learning module is designed to enable learning during operation and continuous self-optimization.

2. The intelligent parking barrier according to claim 1, characterized in that: The environmental sensing module includes an air quality sensor, a meteorological micro-station, and vibration and acoustic sensors.

3. The intelligent parking barrier according to claim 2, characterized in that: The atmospheric quality sensor monitors pollutant concentrations in real time; the meteorological micro-station collects parameters such as temperature, humidity, air pressure, wind speed, wind direction, noise level, and light intensity; the vibration and acoustic sensor analyzes ground vibration waveforms to accurately determine vehicle type, count traffic flow, and monitor the health status of road structures over long periods; and the acoustic sensor is used to detect abnormal sounds.

4. The intelligent parking barrier according to claim 1, characterized in that: The identity perception module includes a multi-band RFID / UWB reader and a Bluetooth beacon / iBeacon.

5. The intelligent parking barrier according to claim 4, characterized in that: The multi-band RFID / UWB reader is used to identify vehicles and interact with electronic tags or smartphones worn by pedestrians and non-motorized vehicle riders to provide electronic fence security monitoring for special groups in specific areas; the Bluetooth beacon / iBeacon is used for accurate positioning and navigation of vehicles indoors, and at the same time pushes personalized shopping mall discount information or vehicle location guidance to the owner's mobile phone.

6. The intelligent parking barrier according to claim 1, characterized in that: The edge computing module is set as an edge computing gateway, which has a built-in behavior analysis and security intervention module as well as a dynamic traffic strategy execution module.

7. The intelligent parking barrier according to claim 6, characterized in that: The behavior analysis and security intervention module uses a locally running lightweight AI model to analyze video streams in real time and make autonomous decisions.

8. The intelligent parking barrier according to claim 6, characterized in that: The dynamic traffic strategy execution module allows nodes to autonomously adjust their traffic strategies based on preset rules and real-time traffic flow.

9. The intelligent parking barrier according to claim 1, characterized in that: The interaction module includes a vehicle-road cooperative interface and a human-machine interface. The vehicle-road cooperative interface connects the parking barrier to the intelligent connected vehicle. The human-machine interface is used for displaying and interacting with diverse information.

10. The intelligent parking barrier according to claim 9, characterized in that: The human-computer interaction interface includes an LED dot matrix screen, a touch screen, and a voice assistant. The LED dot matrix screen is used to display information or license plate numbers, as well as to publish real-time diversified information. The touch screen and voice assistant are used to provide pedestrians with services such as asking for directions, information inquiry, one-click call to customer service, or emergency assistance.

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