Recognition interaction system applied to chamber meeting

Abstract

The invention relates to a recognition interaction system applied to chamber meeting. The recognition interaction system comprises a data acquisition module, a first data sending module, a second data sending module, an underground communication module, a vehicle-mounted recognition module and a vehicle-mounted interaction module. The data acquisition module acquires parking area occupation data; the first data sending module sends parking area occupation data to the intrinsic safety type signal lamp; the second data sending module sends parking area occupation data to the underground communication module; the underground communication module receives the parking area occupation data and sends the parking area occupation data to a vehicle-mounted identification module of an underground vehicle; and the vehicle-mounted identification module receives and compares the parking area occupation data and the light data, so that the vehicle-mounted interaction module prompts the parking condition of the underground meeting chamber. By means of the recognition interaction system applied to meeting of the chambers, the problem that in the actual meeting interaction process of vehicles, due to the fact that underground roads are complex, the light condition is poor and the view of drivers is limited, parking in the meeting chambers is difficult can be solved.

Description

Technical Field

[0001] The invention relates to the technical field of underground traffic signal equipment in coal mines, and in particular to an identification and interaction system applied to meeting vehicles in a chamber. Background Art

[0002] In mine operations, the place where vehicles meet in a chamber is called a meeting chamber. The meeting chamber is an important place for mine vehicles to meet, and its safety and efficiency have a great impact on the entire mine operation. At present, the avoidance interaction of the meeting chamber underground mainly relies on the driver driving to the vicinity of the meeting chamber and confirming that there is enough space in the meeting chamber to enter and avoid through human observation, or using a microphone to ask about the specific situation of the meeting chamber, or using the light color of the signal light to remind the vehicles around the chamber, or using photoelectric sensors to transmit signals and using the signal light to change color to remind the surrounding vehicles.

[0003] In the actual process of vehicle interaction, due to the complexity of underground roads, poor lighting conditions and limited driver vision, drivers often do not rely on manual experience to determine whether the chamber is already occupied by vehicles or other obstacles before entering the meeting chamber to avoid. They need to drive to the vicinity of the meeting chamber to confirm whether there is enough space for avoidance. When using a microphone for confirmation, the specific situation of the chamber cannot be accurately obtained due to interference from noisy ambient sounds and unstable communication signals. When using photoelectric sensors, if the surface of the photoelectric sensor is exposed to direct strong light or blocked by dust, it will often cause false alarms or fail to work properly.

[0004] Therefore, the prior art has defects and needs to be improved and developed. Summary of the invention

[0005] The embodiment of the present invention provides an identification and interaction system for meeting vehicles in a chamber, which is used to solve the problem in the prior art that during the actual meeting and interaction process of vehicles, due to the complexity of underground roads, poor lighting conditions and limited driver's field of vision, the driver often does not rely on manual experience to determine whether the chamber is already occupied by vehicles or other obstacles before entering the meeting chamber for avoidance. It is necessary to drive to the vicinity of the meeting chamber to confirm whether there is enough avoidance space. When using a microphone for shouting and confirmation, it is impossible to accurately know the specific situation of the chamber due to interference from noisy ambient sounds and unstable communication signals. When using photoelectric sensors, if the surface of the photoelectric sensor is exposed to direct strong light or blocked by dust, it will often cause false alarms or malfunctions.

[0006] An embodiment of the present invention provides an identification and interaction system for meeting vehicles in a chamber, comprising a data acquisition module, a first data sending module, a second data sending module, an underground communication module, a vehicle-mounted identification module and a vehicle-mounted interaction module; the data acquisition module is used to acquire parking area occupancy data in the underground meeting chamber detected by an intrinsically safe AI camera located in the underground meeting chamber, and send the parking area occupancy data to the first data sending module and the second data sending module; the first data sending module is used to receive the parking area occupancy data sent by the data acquisition module, and send the parking area occupancy data to the intrinsically safe signal lamp, so that the intrinsically safe signal lamp converts the parking area occupancy data into light data of the intrinsically safe signal lamp; the second data sending module is used to receive the parking area occupancy data sent by the data acquisition module, and send the parking area occupancy data to the intrinsically safe signal lamp, so that the intrinsically safe signal lamp converts the parking area occupancy data into light data of the intrinsically safe signal lamp The parking area occupancy data is sent to the underground communication module; the underground communication module is used to receive the parking area occupancy data, and send the parking area occupancy data to the on-board identification module of the vehicle located underground; the on-board identification module is used to receive the parking area occupancy data and the light data, and to compare the parking area occupancy data and the light data. If the comparison result of the parking area occupancy data is consistent with the light data, the light data is sent to the on-board interaction module so that the on-board interaction module prompts the parking status of the underground meeting chamber; if the comparison result of the parking area occupancy data is inconsistent with the light data, the parking area occupancy data is sent to the intrinsically safe signal light so that the intrinsically safe signal light updates the light data, and the on-board interaction module re-receives the updated light data to prompt the parking status of the underground meeting chamber.

[0007] Furthermore, the intrinsically safe AI camera is used to detect the actual area of ​​the meeting chamber and the actual vehicle size, and the actual area of ​​the meeting chamber is divided into at least one parking area according to the actual size of the vehicle. When the vehicle enters the meeting chamber, the intrinsically safe AI camera is used to identify the situation of the vehicle occupying the parking area, and generate the parking area occupancy data according to the situation of the parking area, wherein the generating of the parking area occupancy data includes: if the parking area is fully occupied, then generating the parking area occupancy data of the meeting chamber as being in a full state; if the parking area is not fully occupied, then generating the parking area occupancy data of the meeting chamber as being in a tense state; if the parking area is not occupied at all, then generating the parking area occupancy data of the meeting chamber as being in an idle state.

[0008] Furthermore, the lighting data of the intrinsically safe signal light converted from the parking area occupancy data includes: if the parking area occupancy data indicates that the meeting chamber is full, the lighting data of the intrinsically safe signal light is converted so that the intrinsically safe signal light emits red light; if the parking area occupancy data indicates that the meeting chamber is tense, the lighting data of the intrinsically safe signal light is converted so that the intrinsically safe signal light emits yellow light; if the parking area occupancy data indicates that the meeting chamber is idle, the lighting data of the intrinsically safe signal light is converted so that the intrinsically safe signal light emits green light.

[0009] Furthermore, the first data sending module is connected to the intrinsically safe signal light via a wired signal.

[0010] Furthermore, the downhole communication module is an intrinsically safe communication base station, the second data sending module is connected to the downhole communication module via an Ethernet signal, and the downhole communication module is connected to the vehicle-mounted identification module via a wireless signal.

[0011] Furthermore, the vehicle-mounted interactive module is a vehicle-mounted voice broadcasting device, and the vehicle-mounted voice broadcasting device is used to prompt the parking status of the underground meeting chamber in the form of voice broadcasting.

[0012] Furthermore, the vehicle is an unmanned vehicle, which is equipped with an on-board communication system and an on-board sensing system. The on-board communication system is used to receive the parking area occupancy data to obtain the parking status of the parking area of ​​the meeting chamber; the on-board sensing system is used to receive the light data to obtain the parking status of the parking area of ​​the meeting chamber.

[0013] Beneficial effects:

[0014] It can be seen from the above technical solutions that the present invention provides an identification and interaction system for meeting vehicles in a chamber. Through the on-board interaction module, the occupied status of the underground meeting chamber can be deterministically displayed or notified to the driving vehicle in advance, which can help the driver make a reasonable decision and avoid the problem of underground traffic congestion and low transportation efficiency due to unclear road conditions to the greatest extent. By using the on-board identification module to identify the light data, the occurrence of reception delays, errors, etc. caused by the influence of the environment on the light is avoided, and the parking situation in the parking area is accurately and timely fed back, which improves the efficiency and safety of underground operations. Through the processing of the light data by the first data sending module and the second data sending module, the accuracy of the light data is further improved, and the on-board identification module and the on-board interaction module process the data more accurately, which further improves the safety of underground operations.

[0015] It should be appreciated that all combinations of the foregoing concepts, as well as additional concepts described in greater detail below, may be considered to be part of the inventive subject matter of the present disclosure, provided such concepts are not mutually inconsistent.

[0016] The foregoing and other aspects, embodiments and features of the present invention can be more fully understood from the following description in conjunction with the accompanying drawings. Other additional aspects of the present invention, such as the features and / or beneficial effects of the exemplary embodiments, will be apparent from the following description or learned from the practice of the specific embodiments according to the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are not drawn to scale according to actual reference objects. In the accompanying drawings, each identical or nearly identical component shown in various figures may be represented by the same reference numeral. For the sake of clarity, not every component is labeled in each figure. Now, embodiments of various aspects of the present invention will be described by way of example and with reference to the accompanying drawings, in which:

[0018] Figure 1 It is a structural schematic diagram of an identification and interaction system applied to meeting vehicles in a chamber in an embodiment of the present application.

[0019] Figure 2 This is a specific device structure diagram of an identification and interaction system applied to meeting vehicles in a chamber in an embodiment of the present application.

[0020] Figure 3 This is a working diagram of an identification and interaction system applied to meeting vehicles in a chamber in an embodiment of the present application.

[0021] Description of Figure Numbers:

[0022] Data acquisition module 100; first data sending module 200; second data sending module 300; intrinsically safe signal light 400; underground communication module 500; vehicle-mounted identification module 600; vehicle-mounted interaction module 700; intrinsically safe AI camera 1; intrinsically safe communication base station 2; vehicle-mounted identification device 3; voice broadcasting device 4; unmanned vehicle 5. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment 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. Unless otherwise defined, the technical terms or scientific terms used herein should be the common meaning understood by people with general skills in the field to which the present invention belongs.

[0024] The words "first", "second" and similar terms used in the patent specification and claims of the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. Similarly, unless the context clearly indicates otherwise, the singular form "a" or "an" shall not be construed as "a" or "an";

[0025] The words “a”, “an”, “the” and the like do not denote a limitation of quantity, but rather denote the presence of at least one.

[0026] The words "include" or "comprises" and the like mean that the elements or objects appearing before "includes" or "comprises" include the features, wholes, steps, operations, elements and / or components listed after "includes" or "comprises", and do not exclude the existence or addition of one or more other features, wholes, steps, operations, elements, components and / or their collections. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0027] In the actual process of vehicle interaction, due to the complexity of underground roads, poor lighting conditions and limited driver vision, drivers often do not rely on manual experience to determine whether the chamber is already occupied by vehicles or other obstacles before entering the meeting chamber to avoid. They need to drive to the vicinity of the meeting chamber to confirm whether there is enough space for avoidance. When using a microphone for confirmation, the specific situation of the chamber cannot be accurately obtained due to interference from noisy ambient sounds and unstable communication signals. When using photoelectric sensors, if the surface of the photoelectric sensor is exposed to direct strong light or blocked by dust, it will often cause false alarms or malfunctions.

[0028] In view of this, an embodiment of the present invention provides an identification and interaction system for meeting vehicles in a chamber, referring to Figure 1 , including a data acquisition module 100, a first data sending module 200, a second data sending module 300, a downhole communication module 500, a vehicle identification module 600 and a vehicle interaction module 700.

[0029] The data acquisition module 100 is used to collect parking area occupancy data in the underground meeting chamber detected by the intrinsically safe AI camera 1 located in the underground meeting chamber, and send the parking area occupancy data to the first data sending module 200 and the second data sending module 300.

[0030] The first data sending module 200 is used to receive the parking area occupancy data sent by the data acquisition module 100, and send the parking area occupancy data to the intrinsically safe signal lamp 400, so that the intrinsically safe signal lamp 400 converts the parking area occupancy data into light data of the intrinsically safe signal lamp 400.

[0031] The second data sending module 300 is used to receive the parking area occupancy data sent by the data acquisition module 100 , and send the parking area occupancy data to the underground communication module 500 .

[0032] The underground communication module 500 is used to receive parking area occupancy data and send the parking area occupancy data to the vehicle identification module 600 of the vehicle located underground.

[0033] The on-board identification module 600 is used to receive parking area occupancy data and lighting data, and to compare the parking area occupancy data and lighting data. If the comparison results of the parking area occupancy data and the lighting data are consistent, the lighting data is sent to the on-board interaction module 700, so that the on-board interaction module 700 prompts the parking status of the underground meeting chamber; if the comparison results of the parking area occupancy data and the lighting data are inconsistent, the parking area occupancy data is sent to the intrinsically safe signal light 400, so that the intrinsically safe signal light 400 updates the lighting data, and the on-board interaction module 700 re-receives the updated lighting data to prompt the parking status of the underground meeting chamber.

[0034] The existing meeting chamber interactive system mainly installs light-controlled sensors and signal lights on both sides of the tunnel wall. When a vehicle passes by, it blocks the light beam emitted by the photoelectric sensor to affect the reception of the receiver, and then judges the entry of the vehicle. After judging the entry and exit of the vehicle, the switching of the signal light is controlled by switching the local D0 of the signal light to normally open or normally closed. The light color of the signal light is used to remind the vehicles around the chamber, but when using the photoelectric sensor, if the surface of the photoelectric sensor is directly exposed to strong light or blocked by dust, it will often cause false alarms or problems of not being able to work properly. Therefore, the embodiment of the present application directly designs the vehicle-mounted identification module 600 to jointly judge the parking status in the meeting chamber based on the parking area occupancy data and the light data. When the parking area occupancy data and the light data are different, they can be corrected and updated in time to ensure that the parking status in the vehicle chamber is real-time and accurate.

[0035] In certain embodiments, the intrinsically safe AI camera 1 is used to detect the actual area of ​​a meeting chamber and the actual size of a vehicle. According to the actual size of the vehicle, the actual area of ​​the meeting chamber is divided into at least one parking area. When the vehicle enters the meeting chamber, the intrinsically safe AI camera 1 is used to identify the situation of the vehicle occupying the parking area, and generate parking area occupancy data according to the situation of the parking area, wherein the generation of parking area occupancy data includes: if the parking area is fully occupied, then generating parking area occupancy data indicating that the meeting chamber is in a full state; if the parking area is not fully occupied, then generating parking area occupancy data indicating that the meeting chamber is in a tense state; if the parking area is not occupied at all, then generating parking area occupancy data indicating that the meeting chamber is in an idle state.

[0036] The use of the intrinsically safe AI camera 1 as a detection device for chamber interaction can avoid the problem of false detection and false alarm caused by environmental interference to the greatest extent. The intrinsically safe AI camera 1 is installed at the top of the chamber and the installation angle is tilted downward to avoid interference from direct strong light. In addition, in some chamber areas with heavy dust, a wiper device can be installed on the intrinsically safe AI camera 1 to regularly remove obstructions on the lens surface.

[0037] The method for the intrinsically safe AI camera 1 to collect parking area occupancy data includes:

[0038] First, the electronic parking space occupancy detection model is trained: the data of the meeting chamber scene pre-collected by the intrinsically safe AI camera 1 and the specific vehicles that need to be identified taken from multiple angles are annotated to understand the specific characteristics of such vehicles, and then trained into a specific model. The detailed steps are as follows: collect image data of vehicles and vehicles without vehicles in the meeting room; use OpenCV to segment the video, classify and annotate the segmented images, and obtain the position of the object to be identified in the canvas; divide the dataset images into training set and verification set. In order to prevent the training model from overfitting, use the transform in the torchvision library to randomly transform the dataset for data enhancement. By changing the input data to generate more training samples, the generalization ability and effect of the model can be improved. Data enhancement can reduce the model's excessive dependence on certain features, thereby avoiding overfitting. For example, Yolov5 implemented in Pytorch is trained based on the dataset obtained by itself, and the appropriate parameters are adjusted. Changing the input data includes operations such as translation, scaling, and color transformation of the image. These operations will not change the category of the image, but can increase the number of training samples. These enhanced samples can help the model better learn and understand the characteristics of the image and improve the generalization ability and accuracy of the model; it also includes adjusting the batch size of batch_size to 2 n , where n is a natural number greater than or equal to 0. The larger n is, the stronger the equipment performance required for training the model is. It needs to be adjusted according to the actual equipment performance; the number of epoch training groups is adjusted within 50 to 100, and then the accuracy is evaluated on the validation set until the valid loss in the training result of the electronic parking space occupancy detection weight model is slightly higher than the train loss, to prevent the loss function from overfitting and underfitting, thereby obtaining the most accurate electronic parking space occupancy detection model. Among them, labelimg is used for image classification and annotation, and labelimg is used to generate a text file with a suffix of txt or json.

[0039] Then divide the region of interest; normalize the entire 2D image canvas in the video obtained by the intrinsically safe AI camera 1, and then select coordinate points according to the proportion of the canvas. For example, if the part to be detected is a quadrilateral, then set x min , x max ,y min ,y max , where x and y are the horizontal and vertical axes of the canvas respectively, to determine the part of the camera canvas field of view that needs to be detected; if most of the camera screen is the part that needs to be detected, and only a small part is the non-interesting area, then use OpenCV to create a mask to cover the part that does not need to be identified during the detection process, and only identify and judge the content within the area of ​​interest.

[0040] Finally, target detection and recognition are performed; the trained electronic parking space occupancy detection model is deployed in the intrinsically safe AI camera 1, and the area of ​​interest, namely the electronic parking area, is divided in the video canvas, and target detection is performed based on Yolov5. After obtaining the original image data, the image data is preprocessed by noise reduction and filtering, and target occupancy detection is performed on vehicles that intrude into the electronic parking area. The set electronic parking area threshold needs to be determined by the vehicles that the meeting chamber can accommodate. For example, when the meeting chamber can accommodate m vehicles, the threshold can be set to (1-1 / m), that is, when the meeting chamber can accommodate 3 vehicles, the frame of the occupied object is greater than or equal to 66% of the electronic parking area, and the electronic parking space is output as occupied; if the frame of the occupied object does not exceed 66% of the electronic parking area, the electronic parking space is output as idle, where the electronic parking area is the parking area. After all electronic parking areas are detected, the status of all electronic parking spaces is counted. If all parking areas are occupied, parking area occupancy data of the meeting chamber in a full state is generated; if the parking area is not fully occupied, parking area occupancy data of the meeting chamber in a tense state is generated; if none of the parking areas are occupied, parking area occupancy data of the meeting chamber in an idle state is generated. Among them, the threshold of the electronic parking area can be dynamically adjusted according to the area of ​​the meeting chamber and the actual vehicle size, in order to achieve the safe parking standard of the vehicle. For example, the larger the area of ​​the meeting chamber and the smaller the actual vehicle size, the lower the threshold of the electronic parking area.

[0041] In some embodiments, the parking area occupancy data converted into the lighting data of the intrinsically safe signal light 400 includes: if the parking area occupancy data indicates that the meeting chamber is full, the lighting data of the intrinsically safe signal light 400 is converted so that the intrinsically safe signal light 400 emits red light; if the parking area occupancy data indicates that the meeting chamber is tense, the lighting data of the intrinsically safe signal light 400 is converted so that the intrinsically safe signal light 400 emits yellow light; if the parking area occupancy data indicates that the meeting chamber is idle, the lighting data of the intrinsically safe signal light 400 is converted so that the intrinsically safe signal light 400 emits green light.

[0042] In some embodiments, the first data sending module 200 is connected to the intrinsically safe signal light 400 via a wired signal.

[0043] In some embodiments, the underground communication module 500 is an intrinsically safe communication base station 2, referring to Figure 2 The second data sending module 300 is connected to the downhole communication module 500 via Ethernet signals, and the downhole communication module 500 is connected to the vehicle identification module 600 via wireless signals.

[0044] In some other embodiments, the first data sending module 200 and the second data sending module 300 are integrated in the intrinsically safe AI camera 1, and the first data sending module 200 sends the parking area occupancy data to the intrinsically safe signal light 400 through one of the CAN signal interface, RS485 signal interface, and D0 signal interface of the intrinsically safe AI camera 1.

[0045] In some embodiments, the vehicle-mounted interactive module 700 is a vehicle-mounted voice broadcast device, which is used to prompt the parking status of the underground meeting chamber in the form of voice broadcast.

[0046] In certain embodiments, the vehicle is an unmanned vehicle 5, and the unmanned vehicle 5 is equipped with an on-board communication system and an on-board sensing system. The on-board communication system is used to receive parking area occupancy data to obtain the parking condition of the parking area of ​​the meeting chamber; the on-board sensing system is used to receive light data to obtain the parking condition of the parking area of ​​the meeting chamber. The unmanned vehicle 5 has two ways to obtain the parking condition of the parking area of ​​the meeting chamber. The on-board communication system directly receives the parking area occupancy data, and the on-board sensing system determines the parking condition of the parking area of ​​the meeting chamber based on the light data. The parking conditions of the parking area of ​​the meeting chamber obtained by the two ways are compared, and when the comparison results are consistent, driving is performed according to the light data; when the comparison results are inconsistent, the parking condition of the parking area of ​​the meeting chamber obtained by the on-board communication system shall prevail. Reference Figure 3, the workflow of an identification and interaction system applied to meeting vehicles in a chamber is demonstrated, wherein the vehicle-mounted communication system and the vehicle-mounted perception system are integrated in the vehicle-mounted identification device 3, and the voice broadcasting device 4 is installed in the unmanned vehicle 5.

[0047] In summary, the present invention provides an identification and interaction system for meeting vehicles in a chamber. Through the vehicle-mounted interaction module 700, the occupied state of the underground meeting chamber can be displayed or notified to the driving vehicle in advance, which can help the driver make a reasonable decision and avoid the problem of underground traffic congestion and low transportation efficiency due to unclear road conditions to the greatest extent. By using the vehicle-mounted identification module 600 to identify the light data, the occurrence of reception delays, errors, etc. caused by the influence of the environment on the light is avoided, and the parking situation feedback in the parking area is accurate and timely, which improves the efficiency and safety of underground operations. Through the processing of the light data by the first data sending module 200 and the second data sending module 300, the accuracy of the light data is further improved, and the vehicle-mounted identification module 600 and the vehicle-mounted interaction module 700 process the data more accurately, further improving the safety of underground operations. In addition, since it can support the access of the unmanned driving system, it can provide an accurate information source for the unmanned vehicle's meeting and avoidance decision when multiple unmanned vehicles are dispatched and mixed manned and unmanned flow dispatch operations are performed, providing support for simplifying production operations.

[0048] Although the present invention has been disclosed as above with preferred embodiments, it is not intended to limit the present invention. A person with ordinary knowledge in the technical field to which the present invention belongs may make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be determined by the definition of the claims.

Claims

1. A recognition and interaction system for meeting vehicles in a tunnel. It is characterized in that It includes a data acquisition module, a first data sending module, a second data sending module, an underground communication module, a vehicle identification module and a vehicle interaction module; The data acquisition module is used to collect parking area occupancy data in the underground meeting chamber detected by the intrinsically safe AI camera located in the underground meeting chamber, and send the parking area occupancy data to the first data sending module and the second data sending module; The first data sending module is used to receive the parking area occupancy data sent by the data acquisition module, and send the parking area occupancy data to the intrinsically safe signal lamp, so that the intrinsically safe signal lamp converts the parking area occupancy data into the light data of the intrinsically safe signal lamp; The second data sending module is used to receive the parking area occupancy data sent by the data acquisition module, and send the parking area occupancy data to the underground communication module; The underground communication module is used to receive the parking area occupancy data and send the parking area occupancy data to the vehicle identification module located underground; The vehicle-mounted identification module is used to receive the parking area occupancy data and the light data, and to compare the parking area occupancy data and the light data. If the comparison result of the parking area occupancy data and the light data is consistent, the light data is sent to the vehicle-mounted interaction module, so that the vehicle-mounted interaction module prompts the parking status of the underground meeting chamber; If the comparison result of the parking area occupancy data is inconsistent with the lighting data, the parking area occupancy data is sent to the intrinsically safe signal light so that the intrinsically safe signal light updates the lighting data, and the on-board interaction module re-receives the updated lighting data to prompt the parking status of the underground meeting chamber.

2. According to claim 1, a recognition and interaction system for meeting vehicles in a chamber, It is characterized in that The intrinsically safe AI camera is used to detect the actual area of ​​the meeting chamber and the actual vehicle size. According to the actual size of the vehicle, the actual area of ​​the meeting chamber is divided into at least one parking area. When the vehicle enters the meeting chamber, the intrinsically safe AI camera is used to identify the situation of the vehicle occupying the parking area, and generate the parking area occupancy data according to the situation of the parking area, wherein the generating of the parking area occupancy data includes: if the parking area is fully occupied, then the parking area occupancy data of the meeting chamber being in a full state is generated; if the parking area is not fully occupied, then the parking area occupancy data of the meeting chamber being in a tense state is generated; if the parking area is not occupied at all, then the parking area occupancy data of the meeting chamber being in an idle state is generated.

3. According to claim 2, a recognition and interaction system for meeting vehicles in a chamber, It is characterized in that The lighting data of the intrinsically safe signal light converted from the parking area occupancy data includes: if the parking area occupancy data indicates that the meeting chamber is full, the lighting data of the intrinsically safe signal light is converted so that the intrinsically safe signal light emits red light; if the parking area occupancy data indicates that the meeting chamber is busy, the lighting data of the intrinsically safe signal light is converted so that the intrinsically safe signal light emits yellow light; if the parking area occupancy data indicates that the meeting chamber is idle, the lighting data of the intrinsically safe signal light is converted so that the intrinsically safe signal light emits green light.

4. According to claim 3, a recognition and interaction system for meeting vehicles in a chamber, It is characterized in that The first data sending module is connected to the intrinsically safe signal light via a wired signal.

5. According to claim 4, a recognition and interaction system for meeting vehicles in a chamber, It is characterized in that The downhole communication module is an intrinsically safe communication base station, the second data sending module is connected to the downhole communication module via Ethernet signals, and the downhole communication module is connected to the vehicle-mounted identification module via wireless signals.

6. According to claim 5, a recognition and interaction system for meeting vehicles in a chamber, It is characterized in that The vehicle-mounted interactive module is a vehicle-mounted voice broadcast device, and the vehicle-mounted voice broadcast device is used to prompt the parking status of the underground meeting chamber in the form of voice broadcast.

7. According to claim 1, a recognition and interaction system for meeting vehicles in a chamber, It is characterized in that The vehicle is an unmanned vehicle, which is equipped with an on-board communication system and an on-board sensing system. The on-board communication system is used to receive the parking area occupancy data to obtain the parking status of the parking area of ​​the meeting chamber; the on-board sensing system is used to receive the lighting data to obtain the parking status of the parking area of ​​the meeting chamber.

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