Fault early warning method and device for visual deep well type stereo parking garage, equipment and storage medium

Abstract

The invention provides a visual deep well type stereo parking garage fault early warning method and device, equipment and a storage medium. Comprising the following steps: constructing a standard model of the deep well type stereo parking garage based on structure parameter information of the deep well type stereo parking garage; state parameter information of all parts in the deep well type stereo parking garage is obtained; simulating the standard model on the basis of the state parameter information so as to form a real-time model of the deep well type three-dimensional parking garage; and outputting the real-time model, and when the state of the part in the real-time model does not meet the requirement, generating an early warning instruction.

Description

Technical Field

[0001] The present invention relates to the technical field of garage fault warning, and in particular to a visual deep-well type three-dimensional parking garage fault warning method and device, equipment and storage medium. Background Art

[0002] With the rapid development, the number of cars in my country has increased rapidly, while the development and utilization of ground parking space has become increasingly saturated. In order to solve the technical problem of insufficient ground parking space in cities, deep-well type multi-story parking garages came into being.

[0003] A deep-well type multi-story parking garage includes multiple frames distributed at vertical intervals. The frames are raised or lowered by internal rails, busbars, bearings, hydraulic cylinders, gear components and other components. Vehicles can enter the frames from the gate of the deep-well type multi-story parking garage. When the next car parks in the deep-well type multi-story parking garage, the deep-well type multi-story parking garage can move the frames carrying the vehicles downward and move the frames not carrying the vehicles to the garage gate, so that a large number of vehicles can be parked in the underground space.

[0004] However, since deep-pit type multi-story parking garages are located underground and are usually regularly maintained and repaired, if a deep-pit type multi-story parking garage fails, the failure cannot be discovered immediately, which can easily lead to accidents in the deep-pit type multi-story parking garage, which is not conducive to the personal safety of users and can also cause losses to users' property. Summary of the invention

[0005] The present invention provides a visual deep-well type stereoscopic parking garage fault warning method, which can display the status of various components in the deep-well type stereoscopic parking garage in real time, and generate warning information when there is a problem with a component in the deep-well type stereoscopic parking garage or there is a tendency for a problem to occur, thereby avoiding accidents.

[0006] The present invention provides a visual deep well type three-dimensional parking garage fault early warning method, comprising:

[0007] Based on the structural parameter information of the deep-well type three-dimensional parking garage, a standard model of the deep-well type three-dimensional parking garage is constructed;

[0008] Obtain status parameter information of each component in a deep well type three-dimensional parking garage;

[0009] Simulating the standard model based on the state parameter information to form a real-time model of the deep well type three-dimensional parking garage;

[0010] The real-time model is outputted, and when the status of the component in the real-time model does not meet the requirement, an early warning instruction is generated.

[0011] Optionally, based on the structural parameter information of the deep-pit type three-dimensional parking garage, a standard model of the deep-pit type three-dimensional parking garage is constructed, including:

[0012] Based on machine learning technology, a standard digital twin of the deep-well type three-dimensional parking garage is established as the standard model according to the structural state information.

[0013] Optionally, obtaining status parameter information of components in a deep well type three-dimensional parking garage includes:

[0014] The real-time temperature, real-time vibration frequency, real-time stress and real-time strain degree of each component in the deep well type three-dimensional parking garage are obtained to form the state parameter information.

[0015] Optionally, simulating the standard model based on the state parameter information includes:

[0016] Applying influence parameters to each information in the state parameter information respectively, wherein the influence parameters are used to indicate the influence degree of each information in the state parameter information on the deep well type three-dimensional parking garage;

[0017] Obtaining the difference between each information in the state parameter information and each information in the standard state parameter information, wherein the standard state parameter information is the parameter information of the deep well type three-dimensional parking garage in a healthy state;

[0018] When the difference between the information in the state parameter information and the information in the standard state parameter information is a negative value, the difference between the information in the state parameter information and the information in the standard state parameter information is defined as zero;

[0019] Obtaining the sum of the product of the influence parameter of each information in the state parameter information and the difference between each information in the state parameter information and each information in the standard state parameter information as the health information of the components in the deep well type stereoscopic parking garage;

[0020] Obtaining the ratio of the health information of each component in the deep well type stereoscopic parking garage to the standard health information;

[0021] According to the size of the ratio, the components in the standard model are adjusted to different colors respectively to form the real-time model.

[0022] Optionally, outputting the real-time model and generating an early warning instruction when the state of a component in the real-time model does not meet the requirements includes:

[0023] The user determines the status of each component in the real-time model according to the color of each component in the real-time model, and generates an early warning instruction according to the status of each component in the real-time model;

[0024] Alternatively, the early warning instruction is generated based on the ratio of the health level to the standard health level information.

[0025] On the other hand, a visual deep well type three-dimensional parking garage fault warning device is provided, comprising:

[0026] An acquisition module is used to obtain status parameter information of each component in the deep well type three-dimensional parking garage;

[0027] A simulation module is used to construct a standard model of the deep-well type three-dimensional parking garage based on the structural parameter information of the deep-well type three-dimensional parking garage; and simulate the standard model based on the state parameter information to form a real-time model of the deep-well type three-dimensional parking garage.

[0028] The visualization module is used to output the real-time model and generate an early warning instruction when the status of the components in the real-time model does not meet the requirements.

[0029] Optionally, the simulation module is used to:

[0030] Based on machine learning technology, a standard digital twin of the deep-well type three-dimensional parking garage is established as the standard model according to the structural state information.

[0031] Optionally, the simulation module is used to:

[0032] Applying influence parameters to each information in the state parameter information respectively, wherein the influence parameters are used to indicate the influence degree of each information in the state parameter information on the deep well type three-dimensional parking garage;

[0033] Obtaining the difference between each information in the state parameter information and each information in the standard state parameter information, wherein the standard state parameter information is the parameter information of the deep well type three-dimensional parking garage in a healthy state;

[0034] When the difference between the information in the state parameter information and the information in the standard state parameter information is a negative value, the difference between the information in the state parameter information and the information in the standard state parameter information is defined as zero;

[0035] Obtaining the sum of the product of the influence parameter of each information in the state parameter information and the difference between each information in the state parameter information and each information in the standard state parameter information as the health information of the components in the deep well type stereoscopic parking garage;

[0036] Obtaining the ratio of the health information of each component in the deep well type stereoscopic parking garage to the standard health information;

[0037] According to the size of the ratio, the components in the standard model are adjusted to different colors respectively to form the real-time model.

[0038] On the other hand, a warning device is provided, which includes a visual deep-well type three-dimensional parking garage fault warning device as described in any one of the above items.

[0039] On the other hand, a computer-readable storage medium is provided, in which at least one program code is stored, and the program code is loaded and executed by a processor to implement the visual deep-well type three-dimensional parking garage fault warning method as described in any of the above items.

[0040] The beneficial effects brought by the technical solution provided by the present invention are:

[0041] In the disclosed embodiment, by acquiring structural parameter information of components in a deep-well type multi-story parking garage and establishing a standard model of the deep-well type multi-story parking garage based on the structural parameter information, and simulating the standard model through the state parameter information, the current state of each component in the deep-well type multi-story parking garage can be displayed in real time. When a problem occurs in a component in the deep-well type multi-story parking garage or there is a trend of problems occurring, an early warning instruction can be generated. The early warning instruction can be used to close the garage door or generate an alarm signal to avoid safety accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 It is a method flow chart of a visual deep well type three-dimensional parking garage fault warning method provided by an embodiment of the present disclosure;

[0044] Figure 2 A structural block diagram of a visual deep well type three-dimensional parking garage fault warning device provided by an embodiment of the present disclosure;

[0045] Figure 3 A structural block diagram of an early warning device provided in an embodiment of the present disclosure.

[0046] Reference numerals:

[0047] 10: acquisition module; 20: simulation module; 30: visualization module; 40: database module; 50: door access control module; 60: warning module; 70: processor; 80 memory. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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.

[0049] Figure 1 A flowchart of a method for visualizing a deep well type three-dimensional parking garage fault warning method provided by an embodiment of the present disclosure. Figure 1 The method steps include:

[0050] S1. Constructing a standard model of a deep-pit type three-dimensional parking garage based on structural parameter information of the deep-pit type three-dimensional parking garage.

[0051] In one example, step S1 includes:

[0052] Based on machine learning technology, a standard digital twin of the deep-well type three-dimensional parking garage is established as the standard model according to the structural state information.

[0053] In the disclosed embodiment, a standard digital twin of a deep-pit type multi-story parking garage is established one-to-one through structural status information, so that after the standard model is simulated and the real-time model is output in subsequent steps, the user can directly understand the status information and position of each component in the deep-pit type multi-story parking garage.

[0054] S2. Obtain status parameter information of each component in the deep well type three-dimensional parking garage.

[0055] In one example, step S2 includes:

[0056] The real-time temperature, real-time vibration frequency, real-time stress and real-time strain degree of each component in the deep well type three-dimensional parking garage are obtained to form the state parameter information.

[0057] Among them, the components in the deep-well type multi-story parking garage include internal tracks, busbars, bearings, frames, hydraulic cylinders, gear components and other components.

[0058] In the disclosed embodiment, the temperature, vibration frequency, stress and strain of the mechanical components can better reflect the status of the mechanical components. When the temperature, vibration frequency, stress and strain are simulated in subsequent steps, it is easier for users to determine whether there are problems with the components in the deep-well type multi-story parking garage or whether there is a trend of problems.

[0059] S3. Simulating the standard model based on the state parameter information to form a real-time model of the deep-well type three-dimensional parking garage.

[0060] In one example, step S3 includes:

[0061] In the first step, influence parameters are applied to each information in the state parameter information respectively, and the influence parameters are used to indicate the influence degree of each information in the state parameter information on the deep well type three-dimensional parking garage.

[0062] Among them, the real-time temperature, real-time vibration frequency, real-time stress and real-time strain degree each corresponds to an influence parameter, and the influence parameter is used to indicate the influence degree of the real-time temperature, real-time vibration frequency, real-time stress and real-time strain degree on the deep well type three-dimensional parking garage.

[0063] The second step is to obtain the difference between each information in the state parameter information and each information in the standard state parameter information, wherein the standard state parameter information is the parameter information of the deep well type three-dimensional parking garage in a healthy state.

[0064] Among them, the difference between the real-time temperature and the standard temperature, the difference between the real-time vibration frequency and the standard vibration frequency, the difference between the real-time stress and the standard stress, and the difference between the real-time strain degree and the standard strain degree are obtained.

[0065] In the third step, when the difference between the information in the state parameter information and the information in the standard state parameter information is a negative value, the difference between the information in the state parameter information and the information in the standard state parameter information is defined as zero.

[0066] In the third step, since the possibility of a component failure in the deep-pit type stereoscopic parking garage is indicated only when the status parameter information is greater than the standard status parameter information, the situation where the status parameter information is less than the standard status parameter information is eliminated.

[0067] The fourth step is to obtain the influence parameter of each information in the state parameter information and the sum of the products of the difference between each information in the state parameter information and each information in the standard state parameter information as the health information of the components in the deep well type three-dimensional parking garage.

[0068] The fifth step is to obtain the ratio of the health information of each component in the deep well type stereoscopic parking garage to the standard health information.

[0069] The sixth step is to adjust the components in the standard model to different colors according to the size of the ratio to form the real-time model.

[0070] In the embodiment of the present disclosure, the health information of each component is determined through the above steps. The health information is obtained by integrating multiple information in the status parameter information, which can better feedback the health status of the components in the deep-well type multi-story parking garage, and obtain the ratio of the health information to the standard health information. The ratio can better feedback the size difference between the health information and the standard health information. Different colors are applied to each component according to the size difference between the health information and the standard health information, and users can directly judge the status of each component by color.

[0071] S4. Output the real-time model, and generate an early warning instruction when the status of a component in the real-time model does not meet the requirements.

[0072] In one example, step S4 includes:

[0073] The user determines the status of each component in the real-time model according to the color of each component in the real-time model, and generates an early warning instruction according to the status of each component in the real-time model;

[0074] Alternatively, the early warning instruction is generated based on the ratio of the health level to the standard health level information.

[0075] In the disclosed embodiment, the real-time module will be displayed to the user in real time, and the user can manually generate early warning instructions according to the status of each component in the real-time model. Of course, when the user is unable to operate manually, the user can be given permission to automatically generate early warning instructions, thereby automatically generating early warning instructions according to the status of each component in the real-time model.

[0076] S5. When no vehicle passes through the gate of the deep-pit type three-dimensional parking garage, the gate of the deep-pit type three-dimensional parking garage is closed based on the early warning instruction and an alarm signal is generated.

[0077] If a vehicle passes through the door of the deep-pit type three-dimensional parking garage, an alarm signal is generated to warn the vehicle to stop entering the deep-pit type three-dimensional parking garage.

[0078] In the disclosed embodiment, when there is no vehicle passing through the gate of a deep well type three-dimensional parking garage, the garage gate is closed based on a warning instruction and an alarm signal is generated to ensure vehicle safety.

[0079] In the disclosed embodiment, by acquiring structural parameter information of components in a deep-well type multi-story parking garage and establishing a standard model of the deep-well type multi-story parking garage based on the structural parameter information, and simulating the standard model through the state parameter information, the current state of each component in the deep-well type multi-story parking garage can be displayed in real time. When a problem occurs in a component in the deep-well type multi-story parking garage or there is a trend of problems occurring, an early warning instruction can be generated. The early warning instruction can be used to close the garage door or generate an alarm signal to avoid safety accidents.

[0080] Figure 2 This is a structural block diagram of a visual deep well type three-dimensional parking garage fault warning device provided by the embodiment of the present disclosure. Figure 2 , the device comprises:

[0081] The acquisition module 10 is used to obtain the status parameter information of each component in the deep well type three-dimensional parking garage;

[0082] The simulation module 20 is used to construct a standard model of the deep-well type three-dimensional parking garage based on the structural parameter information of the deep-well type three-dimensional parking garage; and simulate the standard model based on the state parameter information to form a real-time model of the deep-well type three-dimensional parking garage;

[0083] The visualization module 30 is used to output the real-time model and generate an early warning instruction when the status of a component in the real-time model does not meet the requirements.

[0084] Optionally, the acquisition module 10 is used to:

[0085] The real-time temperature, real-time vibration frequency, real-time stress and real-time strain degree of each component in the deep well type three-dimensional parking garage are obtained to form the state parameter information.

[0086] In one achievable manner provided in an embodiment of the present disclosure, the acquisition module includes a temperature sensor, a vibration frequency sensor, a stress sensor, and a strain degree sensor.

[0087] Optionally, the simulation module 20 is used to:

[0088] Based on machine learning technology, a standard digital twin of the deep-well type three-dimensional parking garage is established as the standard model according to the structural state information.

[0089] In the disclosed embodiment, the visual deep well type three-dimensional parking garage fault warning device further includes:

[0090] Optionally, the simulation module 20 is used to:

[0091] Applying influence parameters to each information in the state parameter information respectively, wherein the influence parameters are used to indicate the influence degree of each information in the state parameter information on the deep well type three-dimensional parking garage;

[0092] Obtaining the difference between each information in the state parameter information and each information in the standard state parameter information, wherein the standard state parameter information is the parameter information of the deep well type three-dimensional parking garage in a healthy state;

[0093] When the difference between the information in the state parameter information and the information in the standard state parameter information is a negative value, the difference between the information in the state parameter information and the information in the standard state parameter information is defined as zero;

[0094] Obtaining the sum of the product of the influence parameter of each information in the state parameter information and the difference between each information in the state parameter information and each information in the standard state parameter information as the health information of the components in the deep well type stereoscopic parking garage;

[0095] Obtaining the ratio of the health information of each component in the deep well type stereoscopic parking garage to the standard health information;

[0096] According to the size of the ratio, the components in the standard model are adjusted to different colors respectively to form the real-time model.

[0097] Optionally, a visualization module is used to:

[0098] The user determines the status of each component in the real-time model according to the color of each component in the real-time model, and generates an early warning instruction according to the status of each component in the real-time model;

[0099] Alternatively, the early warning instruction is generated based on the ratio of the health level to the standard health level information.

[0100] The device also includes: a database module 40, which is used to store the state parameter information obtained by the acquisition module and transmit it to the simulation module 20 for simulation.

[0101] Optionally, the visual deep well type three-dimensional parking garage fault warning device further includes:

[0102] The door access control module 50 is used to obtain whether there is a car entering or exiting the deep-pit type stereoscopic parking garage, and to control the deep-pit type stereoscopic parking garage to close the door after receiving an early warning instruction.

[0103] Among them, the door control module 50 may include an entrance sensor and an automatic door opening and closing power supply. The entrance sensor is used to sense whether there is a car entering or exiting the deep well type three-dimensional parking garage, and the automatic door opening and closing power supply is used to control the deep well type three-dimensional parking garage to close the door.

[0104] The alarm module 60 is used to send out an alarm signal after receiving the early warning instruction.

[0105] Among them, the alarm module can include a garage entrance and exit alarm and an LED prompt screen.

[0106] In the disclosed embodiment, after the visualization module displays the simulation results, the operator can control the visualization module to generate a warning instruction according to the simulation results. For example, the operator can control the visualization module to generate a warning instruction in the remote duty room. When the visualization module generates a warning instruction, it will obtain whether there is a car passing through the garage door through the door control module 50. If there is a car passing, the warning instruction is only sent to the warning module. If there is no car passing, the warning instruction is sent to the door control module and the warning module. In addition, the visualization module can also automatically generate a warning instruction according to the simulation results.

[0107] Figure 3 This is a structural block diagram of an early warning device provided by an embodiment of the present disclosure. Figure 3 The early warning device may include a simulation module. Usually, the detection device includes: a processor 70 and a memory 80.

[0108] The processor 70 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 70 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 70 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state.

[0109] The memory 80 may include one or more computer-readable storage media, which may be non-transitory. The memory 80 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 80 is used to store at least one instruction, which is used to be executed by the processor 70 to implement the visual deep well type three-dimensional parking garage fault warning method performed by the warning device provided by the method embodiment of the present application.

[0110] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A visual deep well type three-dimensional parking garage fault warning method, characterized in that: include: Based on the structural parameter information of the deep-well type three-dimensional parking garage, a standard model of the deep-well type three-dimensional parking garage is constructed; Obtain status parameter information of each component in a deep well type three-dimensional parking garage; Simulating the standard model based on the state parameter information to form a real-time model of the deep well type three-dimensional parking garage; The real-time model is outputted, and when the status of the component in the real-time model does not meet the requirement, an early warning instruction is generated.

2. The visual deep well type three-dimensional parking garage fault warning method according to claim 1 is characterized in that: Based on the structural parameter information of the deep-well type three-dimensional parking garage, a standard model of the deep-well type three-dimensional parking garage is constructed, including: Based on machine learning technology, a standard digital twin of the deep-well type three-dimensional parking garage is established as the standard model according to the structural state information.

3. The visual deep well type three-dimensional parking garage fault warning method according to claim 1 is characterized in that: Obtain status parameter information of components in deep well type stereoscopic parking garage, including: The real-time temperature, real-time vibration frequency, real-time stress and real-time strain degree of each component in the deep well type three-dimensional parking garage are obtained to form the state parameter information.

4. The visual deep well type three-dimensional parking garage fault early warning method according to claim 1 is characterized in that: The method further comprises: simulating the standard model based on the state parameter information, comprising: Applying influence parameters to each information in the state parameter information respectively, wherein the influence parameters are used to indicate the influence degree of each information in the state parameter information on the deep well type three-dimensional parking garage; Obtaining the difference between each information in the state parameter information and each information in the standard state parameter information, wherein the standard state parameter information is the parameter information of the deep well type three-dimensional parking garage in a healthy state; When the difference between the information in the state parameter information and the information in the standard state parameter information is a negative value, the difference between the information in the state parameter information and the information in the standard state parameter information is defined as zero; Obtaining the sum of the product of the influence parameter of each information in the state parameter information and the difference between each information in the state parameter information and each information in the standard state parameter information as the health information of the components in the deep well type stereoscopic parking garage; Obtaining the ratio of the health information of each component in the deep well type stereoscopic parking garage to the standard health information; According to the size of the ratio, the components in the standard model are adjusted to different colors respectively to form the real-time model.

5. The visual deep well type three-dimensional parking garage fault warning method according to claim 4 is characterized in that: Outputting the real-time model, and generating an early warning instruction when the state of a component in the real-time model does not meet the requirements, includes: The user determines the status of each component in the real-time model according to the color of each component in the real-time model, and generates an early warning instruction according to the status of each component in the real-time model; Alternatively, the early warning instruction is generated based on the ratio of the health level to the standard health level information.

6. A visual deep well type three-dimensional parking garage fault warning device, characterized in that: include: An acquisition module is used to obtain status parameter information of each component in the deep well type three-dimensional parking garage; A simulation module is used to construct a standard model of the deep-well type three-dimensional parking garage based on the structural parameter information of the deep-well type three-dimensional parking garage; and simulate the standard model based on the state parameter information to form a real-time model of the deep-well type three-dimensional parking garage; The visualization module is used to output the real-time model and generate an early warning instruction when the status of the components in the real-time model does not meet the requirements.

7. The visual deep well type three-dimensional parking garage fault warning device according to claim 6 is characterized in that: The simulation module is used to: Based on machine learning technology, a standard digital twin of the deep-well type three-dimensional parking garage is established as the standard model according to the structural state information.

8. The visual deep well type three-dimensional parking garage fault warning device according to claim 6 is characterized in that: The simulation module is used to: Applying influence parameters to each information in the state parameter information respectively, wherein the influence parameters are used to indicate the influence degree of each information in the state parameter information on the deep well type three-dimensional parking garage; Obtaining the difference between each information in the state parameter information and each information in the standard state parameter information, wherein the standard state parameter information is the parameter information of the deep well type three-dimensional parking garage in a healthy state; When the difference between the information in the state parameter information and the information in the standard state parameter information is a negative value, the difference between the information in the state parameter information and the information in the standard state parameter information is defined as zero; Obtaining the sum of the product of the influence parameter of each information in the state parameter information and the difference between each information in the state parameter information and each information in the standard state parameter information as the health information of the components in the deep well type stereoscopic parking garage; Obtaining the ratio of the health information of each component in the deep well type stereoscopic parking garage to the standard health information; According to the size of the ratio, the components in the standard model are adjusted to different colors respectively to form the real-time model.

9. An early warning device, characterized in that: The warning device includes a visual deep-well type three-dimensional parking garage fault warning device as described in any one of claims 6 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one program code, and the program code is loaded and executed by the processor to implement the visual deep-pit type three-dimensional parking garage fault warning method as described in any one of claims 1 to 5.

Images