An automatic alarm device and system for vehicle parking safety in a multi-level parking garage

Abstract

This invention discloses an automatic alarm device and system for vehicle parking safety in a multi-level parking garage, including a multimodal sensing module. The multimodal sensing module collects multi-dimensional real-time data related to vehicle parking and transmits the collected data to the module interaction bus. The beneficial effects of this invention are: by setting a threshold adaptive calibration module, and through a triple calibration method of initialization calibration, real-time dynamic calibration, and periodic calibration, combined with dynamic changes in the garage environment and historical operating data, the risk assessment threshold is dynamically adjusted. This effectively solves the problems in existing technologies where fixed thresholds cannot adapt to dynamic environments such as parking space tilt, ground subsidence, and vehicle platform deformation, and cannot meet the parking needs of special vehicle models. This significantly improves the environmental adaptability and practicality of the alarm device and reduces false alarm and missed alarm rates.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of vehicle parking, and particularly relates to a multi-layer stereo garage vehicle parking safety automatic alarm device and system. BACKGROUND

[0002] With the acceleration of urbanization process, the number of motor vehicles in cities continues to rise, and land resources are increasingly scarce. Multi-layer stereo garages are widely used in densely populated places such as residential areas, commercial complexes, and office parks due to their high space utilization and small footprint, and have become one of the core solutions to alleviate the urban parking problem. However, the complexity of the structure of multi-layer stereo garages, the dynamic nature of operation, and the diversity of vehicle parking make the safety hazards in the process of vehicle parking increasingly prominent. Vehicle parking safety automatic alarm technology has become a key to ensuring the safe operation of multi-layer stereo garages.

[0003] At present, there are many related technical solutions for stereo garage vehicle protection in the industry. One of them is a stereo garage vehicle protection system with a patent publication number CN108898888A, which discloses a pre-warning unit for estimating and judging whether a vehicle can enter a garage, a signal indicating device for reminding whether a vehicle is parked in place, an alarm unit for alarming and prompting extreme parking positions of a vehicle or abnormal conditions of a vehicle, a control host connected with the signal indicating device, the alarm unit, and an information sending unit and controlling their working processes. The pre-warning unit includes a vehicle information recognition device, a single-chip microcomputer, a comparison loop, and an alarm. The vehicle information recognition device is connected with the comparison loop, the comparison loop is connected with the alarm, and the single-chip microcomputer is connected with the information recognition device, the single-chip microcomputer, and the alarm. It also includes a communication unit for establishing a connection between the stereo garage manager and the vehicle owner, and the communication unit is connected with the control host. It also includes an information sending unit for sending abnormal information of a vehicle in a garage to a mobile terminal used by a vehicle owner, and the information sending unit is connected with the communication unit. Through the cooperation of the pre-warning unit, the alarm unit, and the communication unit, the basic functions of vehicle entry estimation, parking reminder, and abnormal alarm are realized, and the parking safety of the stereo garage is improved to a certain extent.

[0004] However, there are still many limitations, and it is difficult to meet the high-precision, all-around, and forward-looking safety protection needs of multi-layer stereo garages in complex operating scenarios. The specific defects are as follows:

[0005] The early warning unit of the patent mainly relies on the vehicle information recognition device and the comparison loop of the fixed threshold to make risk judgments, and the parameters such as vehicle length and height followed by the comparison loop are all preset fixed values, which cannot adapt to the dynamically changing operating environment in the multi-layer stereo garage; in actual application, after long-term use of the multi-layer stereo garage, structural losses such as parking space inclination, ground subsidence and load plate deformation are prone to occur, at this time, the fixed threshold will deviate from the actual available space of the parking space; at the same time, for special vehicles such as modified vehicles, low chassis sports cars and extended vehicles, the fixed threshold cannot be flexibly adjusted, which either leads to special vehicles meeting the actual parking requirements being misjudged as over-limit and unable to normally park, or leads to over-limit vehicles not being identified and causing safety hazards, seriously affecting the practicality and safety of the garage;

[0006] Only through the vehicle information recognition device to obtain vehicle related data, lack of real-time perception of the garage itself environment, mechanical structure state, the perception dimension is too single; the safe operation of the multi-layer stereo garage not only depends on the vehicle parking state, but also is closely related to the load distribution of the load plate, the surrounding obstacles, the stress of the mechanical transmission structure, the fatigue degree of the metal parts and other factors; for example, when the local deformation of the load plate leads to uneven load distribution, even if the vehicle size is not over-limit and the parking position is not offset, the load plate may be broken and the vehicle may fall due to unbalanced force;

[0007] The alarm unit only triggers an alarm when the vehicle is in an extreme parking position or an abnormal situation occurs, which belongs to a typical passive response mode and lacks the ability to predict and intervene in potential safety risks; the alarm unit can only achieve simple alarm prompting, and does not divide alarm levels or design corresponding intervention measures for different levels of safety hazards;

[0008] The system only serves as a single alarm tool and is not combined with the daily maintenance and health management of the garage, so it cannot realize long-term monitoring and data accumulation of the mechanical structure and operating state of the garage, nor can it provide data support for the maintenance of the garage. SUMMARY

[0009] The purpose of the present application is to provide a multi-layer stereo garage vehicle parking safety automatic alarm device and system, which solves the problem that the static threshold cannot adapt to the dynamic environment; significantly improves the safety, practicality and intelligent level of the multi-layer stereo garage vehicle parking, and meets the needs of modern stereo garage intelligent operation and maintenance.

[0010] To achieve the above purpose, the present application provides the following technical scheme: a multi-layer stereo garage vehicle parking safety automatic alarm device, comprising

[0011] A multi-modal perception module is used to collect multi-dimensional real-time data related to vehicle parking, and transmit the collected data to a module interaction bus;

[0012] A threshold adaptive calibration module is used to dynamically calibrate the judgment threshold for risk assessment based on environmental data and historical operating data collected by the multimodal sensing module.

[0013] The dynamic risk assessment module is used to receive data collected by the multimodal perception module and thresholds calibrated by the threshold adaptive calibration module, and to conduct real-time assessment of vehicle parking safety risks.

[0014] An active prediction module is used to predict the development trend of potential security risks based on the assessment results of the dynamic risk assessment module and historical operating data.

[0015] A graded alarm module is used to issue alarm signals and intervention commands of corresponding levels based on the real-time assessment results of the dynamic risk assessment module and the prediction results of the active prediction module.

[0016] The data storage module is used to store real-time data collected by the multimodal perception module, the evaluation results of the dynamic risk assessment module, the prediction results of the active prediction module, the alarm records of the hierarchical alarm module, and the calibration records of the threshold adaptive calibration module.

[0017] The module interaction bus is electrically connected to the multimodal perception module, dynamic risk assessment module, active prediction module, hierarchical alarm module, data storage module, and threshold adaptive calibration module, and is used to realize data transmission and command interaction between the modules.

[0018] As a preferred technical solution of the present invention, the multimodal perception module includes a vehicle state perception unit, a garage environment perception unit, and a mechanical structure perception unit; the vehicle state perception unit is used to collect vehicle size parameters, parking position offset, weight distribution, and vehicle dynamic driving status data; the garage environment perception unit is used to collect parking space tilt angle, ground settlement, garage temperature and humidity, light intensity, and obstacle information; the mechanical structure perception unit is used to collect load distribution of the vehicle platform, stress value of mechanical transmission structure, vibration frequency of metal components, and metal fatigue data.

[0019] As a preferred technical solution of the present invention, the vehicle state perception unit adopts a LiDAR sensor, a weight sensor array and a high-definition camera working together.

[0020] As a preferred technical solution of the present invention, the mechanical structure sensing unit includes a stress sensor, a vibration sensor, and a calyx-shaped eddy current sensor; the stress sensor is used to collect the real-time stress value of the mechanical structure and determine whether the structure is under abnormal stress; the vibration sensor is used to collect the vibration frequency and amplitude data of the mechanical parts and identify the loosening and wear abnormalities of the mechanical parts; the calyx-shaped eddy current sensor is used to monitor the fatigue damage of the metal parts and capture the generation and propagation process of metal fatigue cracks.

[0021] As a preferred technical solution of the present invention, the calibration process of the threshold adaptive calibration module includes initialization calibration, real-time dynamic calibration and periodic calibration.

[0022] As a preferred technical solution of the present invention, the risk assessment process of the dynamic risk assessment module is as follows: First, it receives vehicle status data, garage environment data, and mechanical structure data collected by the multimodal perception module, performs noise reduction, filtering, and normalization on all data, and removes invalid data; then, it calls the current judgment threshold calibrated by the threshold adaptive calibration module, and compares the processed data with the corresponding threshold; finally, it combines the preset risk assessment criteria to conduct a comprehensive assessment from four dimensions: vehicle over-limit risk, parking deviation risk, mechanical structure abnormality risk, and environmental interference risk, and outputs a real-time risk level. The risk level is divided into four levels: no risk, general risk, relatively serious risk, and severe risk. At the same time, a risk assessment report is generated, which clarifies the risk type, risk level, and risk source.

[0023] As a preferred technical solution of the present invention, the active prediction module includes a metal fatigue prediction unit and a hidden danger development prediction unit; the metal fatigue prediction unit uses a trend analysis algorithm to predict the propagation rate of fatigue cracks in metal components and the remaining service life, and to determine whether there is a potential risk of mechanical structure fracture or failure; the hidden danger development prediction unit predicts the development trend of safety hazards, determines whether the hidden danger will escalate into a serious safety accident, and outputs prediction results and early warning prompts.

[0024] As a preferred technical solution of the present invention, the graded alarm module issues alarm signals and intervention commands of corresponding levels based on the real-time risk level of the dynamic risk assessment module and the prediction results of the active prediction module.

[0025] This invention also discloses an automatic alarm system for vehicle parking safety in a multi-level parking garage, including an automatic alarm device for vehicle parking safety in a multi-level parking garage, and further comprising...

[0026] The digital twin simulation module is used to construct a digital twin model of a multi-level parking garage, which maps the physical state of the garage in real time, and synchronously displays the vehicle parking status, garage environment status, mechanical structure status and alarm device working status. At the same time, it receives the prediction results of the active prediction module, simulates the occurrence process and impact range of potential safety accidents, and provides a reference for emergency response and maintenance.

[0027] The intelligent interaction module is used to enable interaction between the garage manager, car owner and alarm system, and to display risk assessment reports, alarm records, prediction results and garage operation status.

[0028] The communication transmission module is used to establish communication connections between the alarm system and the garage manager terminal, the car owner's mobile terminal, the property monitoring center, and the maintenance personnel's terminal, and to push alarm signals, risk assessment reports, prediction results, and emergency prompts to the corresponding terminals in real time, while also receiving instructions from the terminals.

[0029] The garage control module is used to receive intervention commands from the hierarchical alarm module, control the operation of the lifting mechanism, transmission mechanism, and entrance and exit gate equipment of the multi-level parking garage, realize emergency stop and prohibition of passage intervention operations, and cooperate with the hierarchical alarm module to complete safety protection.

[0030] The maintenance management module receives prediction results from the active prediction module and historical operating data from the data storage module, generates maintenance plans for garage mechanical structures, sensor calibration plans, and system overhaul plans, reminds maintenance personnel to perform timely maintenance, and records maintenance information to form maintenance files.

[0031] Compared with the prior art, the beneficial effects of the present invention are:

[0032] The threshold adaptive calibration module is set up. Through three calibration methods, namely initial calibration, real-time dynamic calibration and periodic calibration, combined with dynamic change data of garage environment and historical operation data, the risk assessment judgment threshold is dynamically adjusted. This effectively solves the problem that the fixed threshold in the existing technology cannot adapt to dynamic environments such as parking space tilt, ground settlement, and vehicle platform deformation, and cannot adapt to the parking needs of special vehicle models. It greatly improves the environmental adaptability and practicality of the alarm device and reduces the false alarm and missed alarm rates.

[0033] The multimodal perception module integrates three major categories of perception units: vehicle status, garage environment, and mechanical structure. It uses multiple sensors, such as LiDAR, weight sensor array, and calyx-shaped eddy current sensor, to work together. This breaks through the limitations of existing technologies that rely solely on a single vehicle information recognition device. It enables real-time collection of multi-dimensional data across all vehicle parking scenarios, and can comprehensively capture various safety hazards such as vehicle over-limitation, parking deviation, mechanical structure abnormalities, and environmental interference, achieving all-round safety protection.

[0034] By introducing an active prediction module, combined with fatigue damage data and historical operating data collected by a calyx-shaped eddy current sensor, metal fatigue prediction and hazard development trend prediction are achieved. This breaks through the limitations of passive alarm in existing technologies, enabling early detection of potential safety risks such as mechanical structure fracture and failure, and predicting the development trend of hazards. It upgrades safety protection from "post-event alarm" to "pre-event prediction and in-event intervention", effectively avoiding the occurrence of safety accidents and significantly improving safety.

[0035] The risk level is divided into four levels, and alarm signals and intervention instructions of different levels are designed accordingly. This overcomes the shortcomings of existing technology in that the alarm function is single and there is no graded intervention. It enables garage managers and car owners to quickly distinguish the severity of the hidden dangers, prioritize the handling of serious hidden dangers, and take corresponding intervention measures for different levels of hidden dangers, which greatly improves the efficiency of emergency response and reduces accident losses.

[0036] By introducing a digital twin simulation module, a digital twin model of the garage is constructed, which maps the physical state of the garage in real time and simulates the process of potential accidents. Combined with the maintenance management module, maintenance plans are generated to realize intelligent health management of the garage. This breaks through the limitation of existing technologies that are only used as a single alarm tool, transforming the alarm system into a garage health management platform, reducing garage maintenance costs and extending the service life of equipment. Attached Figure Description

[0037] Figure 1 This is a schematic diagram of the automatic alarm device for vehicle parking safety in a multi-level parking garage according to the present invention.

[0038] Figure 2 This is a schematic diagram of the automatic alarm system for vehicle parking safety in a multi-level parking garage according to the present invention. Detailed Implementation

[0039] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0040] Please see Figure 1This invention provides an automatic alarm device for vehicle parking safety in a multi-level parking garage, including...

[0041] The multimodal perception module is used to collect multi-dimensional real-time data related to vehicle parking and transmit the collected data to the module interaction bus.

[0042] The threshold adaptive calibration module is used to dynamically calibrate the judgment threshold for risk assessment based on environmental data and historical operation data collected by the multimodal sensing module.

[0043] The dynamic risk assessment module receives data collected by the multimodal perception module and thresholds calibrated by the threshold adaptive calibration module to conduct real-time assessment of vehicle parking safety risks.

[0044] The proactive prediction module is used to predict the development trend of potential security risks based on the assessment results of the dynamic risk assessment module and historical operational data.

[0045] The graded alarm module is used to issue alarm signals and intervention commands of corresponding levels based on the real-time assessment results of the dynamic risk assessment module and the prediction results of the active prediction module.

[0046] The data storage module is used to store real-time data collected by the multimodal perception module, the evaluation results of the dynamic risk assessment module, the prediction results of the active prediction module, the alarm records of the hierarchical alarm module, and the calibration records of the threshold adaptive calibration module.

[0047] The module interaction bus is electrically connected to the multimodal perception module, dynamic risk assessment module, active prediction module, hierarchical alarm module, data storage module, and threshold adaptive calibration module, and is used to realize data transmission and command interaction between the modules.

[0048] In this embodiment, the multimodal perception module includes a vehicle status perception unit, a garage environment perception unit, and a mechanical structure perception unit. All three units are electrically connected to the module's interactive bus. The vehicle status perception unit collects data on vehicle dimensions, parking position offset, weight distribution, and dynamic driving status. The garage environment perception unit collects data on parking space tilt angle, ground settlement, garage temperature and humidity, light intensity, and surrounding obstacles. The mechanical structure perception unit collects data on the load distribution of the vehicle platform, stress values ​​of the mechanical transmission structure, vibration frequency of metal components, and metal fatigue-related data. The vehicle status perception unit uses a LiDAR sensor, a weight sensor array, and a high-definition camera working in tandem. The LiDAR sensor accurately collects the vehicle's length, width, height, and other dimensional parameters to identify the vehicle's outline. The weight sensor array is evenly distributed on the surface of the vehicle platform to collect weight distribution data and determine whether the vehicle is overloaded or has a center of gravity offset. The high-definition camera collects images of the vehicle's parking position, calculates the vehicle's parking position offset using image recognition algorithms, and simultaneously identifies the vehicle's dynamic driving status.

[0049] The mechanical structure sensing unit includes stress sensors, vibration sensors, and calyx-shaped eddy current sensors. The stress sensors are installed at key nodes of the mechanical transmission structure and stress-bearing parts of the vehicle platform to collect real-time stress values ​​of the mechanical structure and determine whether the structure is under abnormal stress. The vibration sensors are installed on the vehicle platform, lifting mechanism, and transmission mechanism to collect vibration frequency and amplitude data of mechanical components and identify abnormal conditions such as loosening and wear of mechanical components. The calyx-shaped eddy current sensors are installed on metal structural components such as the vehicle platform and lifting bracket to monitor fatigue damage of metal components, capture the generation and propagation process of metal fatigue cracks, and provide data support for metal fatigue prediction.

[0050] In this embodiment, the calibration process of the threshold adaptive calibration module includes initialization calibration, real-time dynamic calibration, and periodic calibration. During initialization calibration, the threshold adaptive calibration module sets an initial judgment threshold based on the design parameters of the multi-level parking garage, the standard dimensions of the parking spaces, and the rated parameters of the mechanical structure. During real-time dynamic calibration, the threshold adaptive calibration module receives environmental data such as the parking space tilt angle, ground settlement, and vehicle platform deformation collected by the multi-modal sensing module, and adjusts the judgment threshold in real time in conjunction with the current vehicle parking data to adapt to the dynamically changing garage environment. During periodic calibration, the threshold adaptive calibration module combines historical operating data, alarm records, and mechanical maintenance records stored in the data storage module to optimize and calibrate the judgment threshold, thereby improving the accuracy of risk assessment.

[0051] In this embodiment, the risk assessment process of the dynamic risk assessment module is as follows: First, it receives vehicle status data, garage environment data, and mechanical structure data collected by the multimodal perception module. All data is then processed by noise reduction, filtering, and normalization to remove invalid data. Next, it calls the current judgment threshold calibrated by the threshold adaptive calibration module and compares the processed data with the corresponding threshold. Finally, it combines the preset risk assessment criteria to conduct a comprehensive assessment from four dimensions: vehicle over-limit risk, parking deviation risk, mechanical structure abnormality risk, and environmental interference risk. The real-time risk level is output, which is divided into four levels: no risk, general risk, relatively serious risk, and severe risk. At the same time, a risk assessment report is generated, which clarifies the risk type, risk level, and risk source.

[0052] In this embodiment, the active prediction module includes a metal fatigue prediction unit and a hazard development prediction unit. The metal fatigue prediction unit, based on the vibration data and stress data of the metal components collected by the mechanical structure sensing unit and the fatigue damage data collected by the calyx-shaped eddy current sensor, combined with the historical fatigue data stored in the data storage module, uses a trend analysis algorithm to predict the propagation rate of fatigue cracks and the remaining service life of the metal components, and determines whether there are potential risks such as mechanical structure fracture or failure. The hazard development prediction unit, based on the real-time risk level and historical risk change data output by the dynamic risk assessment module, combined with the current vehicle parking status and garage environment data, predicts the development trend of various safety hazards, determines whether the hazard will escalate into a serious safety accident, and outputs prediction results and early warning prompts.

[0053] In this embodiment, the graded alarm module issues alarm signals and intervention commands of corresponding levels based on the real-time risk level of the dynamic risk assessment module and the prediction results of the active prediction module. When the risk level is no risk and there are no potential hazards, the graded alarm module does not issue an alarm signal. When the risk level is general risk or a minor potential hazard is predicted, the graded alarm module issues a level one alarm signal and a minor intervention command, reminding the vehicle owner to adjust the parking position and reduce speed. When the risk level is relatively serious risk or a potential hazard is predicted to escalate, the graded alarm module issues a level two alarm signal and a moderate intervention command, prohibiting the vehicle from continuing to drive or park, and reminding the vehicle owner and garage manager to conduct an inspection. When the risk level is serious risk or a major potential accident hazard is predicted, the graded alarm module issues a level three alarm signal and an emergency intervention command, cutting off the power to the garage's lifting, transmission, and other related machinery, prohibiting all vehicles from entering or exiting, and simultaneously issuing an emergency alert to notify the garage manager to take immediate emergency measures.

[0054] Please see Figure 1 and Figure 2 This invention provides an automatic alarm system for vehicle parking safety in a multi-level automated parking garage, including an automatic alarm device for vehicle parking safety in a multi-level automated parking garage, and further comprising...

[0055] The digital twin simulation module is used to build a digital twin model of a multi-level parking garage, which maps the physical state of the garage in real time and displays the parking status of vehicles, the environmental status of the garage, the mechanical structure status and the working status of alarm devices. At the same time, it receives the prediction results of the active prediction module, simulates the occurrence process and impact range of potential safety accidents, and provides a reference for emergency response and maintenance.

[0056] The intelligent interaction module enables interaction between garage managers, car owners, and the alarm system, displaying risk assessment reports, alarm records, prediction results, and garage operating status.

[0057] The communication transmission module is used to establish communication connections between the alarm system and the garage manager's terminal, the car owner's mobile terminal, the property monitoring center, and the maintenance personnel's terminal. It pushes alarm signals, risk assessment reports, prediction results, and emergency prompts to the corresponding terminals in real time, while also receiving instructions from the terminals.

[0058] The garage control module receives intervention commands from the graded alarm module and controls the operation of the lifting mechanism, transmission mechanism, and entrance / exit gate equipment of the multi-level parking garage. It enables emergency shutdown and passage closure intervention operations, and works with the graded alarm module to complete safety protection.

[0059] The maintenance management module receives prediction results from the active prediction module and historical operating data from the data storage module. It generates maintenance plans for the garage's mechanical structure, sensor calibration plans, and system overhaul plans, reminds maintenance personnel to perform timely maintenance, records maintenance information, and forms maintenance files to achieve intelligent health management of the garage.

[0060] Although embodiments of the invention have been shown and described (see the detailed description above), it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An automatic alarm device for vehicle parking safety in a multi-level parking garage, characterized in that: include A multimodal perception module is used to collect multi-dimensional real-time data related to vehicle parking and transmit the collected data to the module interaction bus. A threshold adaptive calibration module is used to dynamically calibrate the judgment threshold for risk assessment based on environmental data and historical operating data collected by the multimodal sensing module. The dynamic risk assessment module is used to receive data collected by the multimodal perception module and thresholds calibrated by the threshold adaptive calibration module, and to conduct real-time assessment of vehicle parking safety risks. An active prediction module is used to predict the development trend of potential security risks based on the assessment results of the dynamic risk assessment module and historical operating data. A graded alarm module is used to issue alarm signals and intervention commands of corresponding levels based on the real-time assessment results of the dynamic risk assessment module and the prediction results of the active prediction module. The data storage module is used to store real-time data collected by the multimodal perception module, the evaluation results of the dynamic risk assessment module, the prediction results of the active prediction module, the alarm records of the hierarchical alarm module, and the calibration records of the threshold adaptive calibration module. The module interaction bus is electrically connected to the multimodal perception module, dynamic risk assessment module, active prediction module, hierarchical alarm module, data storage module, and threshold adaptive calibration module, and is used to realize data transmission and command interaction between the modules.

2. The automatic alarm device for vehicle parking safety in a multi-level parking garage according to claim 1, characterized in that: The multimodal perception module includes a vehicle status perception unit, a garage environment perception unit, and a mechanical structure perception unit. The vehicle status perception unit is used to collect vehicle size parameters, parking position offset, weight distribution, and vehicle dynamic driving status data. The garage environment perception unit is used to collect parking space tilt angle, ground settlement, garage temperature and humidity, light intensity, and obstacle information. The mechanical structure perception unit is used to collect load distribution of the vehicle platform, stress values ​​of the mechanical transmission structure, vibration frequency of metal components, and metal fatigue data.

3. The automatic alarm device for vehicle parking safety in a multi-level parking garage according to claim 2, characterized in that: The vehicle status perception unit uses a LiDAR sensor, a weight sensor array, and a high-definition camera working together.

4. The automatic alarm device for vehicle parking safety in a multi-level parking garage according to claim 2, characterized in that: The mechanical structure sensing unit includes a stress sensor, a vibration sensor, and a calyx-shaped eddy current sensor. The stress sensor is used to collect the real-time stress value of the mechanical structure and determine whether the structure is under abnormal stress. The vibration sensor is used to collect the vibration frequency and amplitude data of the mechanical components and identify the loosening and abnormal wear of the mechanical components. The calyx-shaped eddy current sensor is used to monitor the fatigue damage of metal components and capture the generation and propagation process of metal fatigue cracks.

5. The automatic alarm device for vehicle parking safety in a multi-level parking garage according to claim 1, characterized in that: The calibration process of the threshold adaptive calibration module includes initialization calibration, real-time dynamic calibration, and periodic calibration.

6. The automatic alarm device for vehicle parking safety in a multi-level parking garage according to claim 1, characterized in that: The risk assessment process of the dynamic risk assessment module is as follows: First, it receives vehicle status data, garage environment data and mechanical structure data collected by the multimodal perception module, performs noise reduction, filtering and normalization on all data, and removes invalid data. Then, the current judgment threshold after calibration by the threshold adaptive calibration module is called, and the processed data is compared with the corresponding threshold. Finally, combined with the preset risk assessment criteria, a comprehensive assessment is carried out from four dimensions: vehicle over-limit risk, parking deviation risk, mechanical structure abnormality risk, and environmental interference risk. The real-time risk level is output, which is divided into four levels: no risk, general risk, relatively serious risk, and severe risk. At the same time, a risk assessment report is generated, which clarifies the risk type, risk level, and risk source.

7. The automatic alarm device for vehicle parking safety in a multi-level parking garage according to claim 1, characterized in that: The active prediction module includes a metal fatigue prediction unit and a hazard development prediction unit. The metal fatigue prediction unit uses a trend analysis algorithm to predict the propagation rate of fatigue cracks in metal components and their remaining service life, and to determine whether there is a potential risk of mechanical structure fracture or failure. The hazard development prediction unit predicts the development trend of safety hazards, determines whether the hazard will escalate into a serious safety accident, and outputs prediction results and early warning prompts.

8. The automatic alarm device for vehicle parking safety in a multi-level parking garage according to claim 1, characterized in that: The graded alarm module issues alarm signals and intervention commands of corresponding levels based on the real-time risk level of the dynamic risk assessment module and the prediction results of the active prediction module.

9. An automatic alarm system for vehicle parking safety in a multi-level automated parking garage, characterized in that: Including the automatic alarm device for vehicle parking safety in a multi-level parking garage as described in any one of claims 1-8, and further including The digital twin simulation module is used to construct a digital twin model of a multi-level parking garage, which maps the physical state of the garage in real time, and synchronously displays the vehicle parking status, garage environment status, mechanical structure status and alarm device working status. At the same time, it receives the prediction results of the active prediction module, simulates the occurrence process and impact range of potential safety accidents, and provides a reference for emergency response and maintenance. The intelligent interaction module is used to enable interaction between the garage manager, car owner and alarm system, and to display risk assessment reports, alarm records, prediction results and garage operation status. The communication transmission module is used to establish communication connections between the alarm system and the garage manager terminal, the car owner's mobile terminal, the property monitoring center, and the maintenance personnel's terminal, and to push alarm signals, risk assessment reports, prediction results, and emergency prompts to the corresponding terminals in real time, while also receiving instructions from the terminals. The garage control module is used to receive intervention commands from the hierarchical alarm module, control the operation of the lifting mechanism, transmission mechanism, and entrance and exit gate equipment of the multi-level parking garage, realize emergency stop and prohibition of passage intervention operations, and cooperate with the hierarchical alarm module to complete safety protection. The maintenance management module receives prediction results from the active prediction module and historical operating data from the data storage module, generates maintenance plans for garage mechanical structures, sensor calibration plans, and system overhaul plans, reminds maintenance personnel to perform timely maintenance, and records maintenance information to form maintenance files.

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