Cabin warning identification system

By installing cameras and processors on engineering vehicles to create surround-view images for identifying hazardous objects, and combining this with display devices, buzzers, and warning lights, the problem of existing technologies being unable to provide complete risk information is solved, resulting in a safer working environment.

CN121157785APending Publication Date: 2025-12-19CHIMEI MOTOR ELECTRONICS
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Patent Information

Application Number
CN202510761038.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2024-06-18
Filing Date
2025-06-09
Publication Date
2025-12-19

AI Technical Summary

Technical Problem

The existing warning devices on engineering vehicles cannot provide operators with complete information about surrounding hazards, making it impossible for operators to effectively control changes in the work environment and increasing operational risks.

Method used

Multiple cameras capture images of the area surrounding the engineering vehicle. These images are processed by a processor to form a surround view image, which identifies hazardous objects and their movement status. The images are then displayed on a display device inside the cockpit, and warnings are provided in conjunction with a buzzer and warning lights.

Benefits of technology

It provides operators with more complete information on surrounding risks, reduces operational risks, and improves the safety of engineering vehicles.

✦ Generated by Eureka AI based on patent content.

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Abstract

A cabin warning recognition system comprises a plurality of cameras, a processor and a display device. The camera is arranged on the engineering vehicle and is configured to shoot surrounding images of the engineering vehicle. And the processor is arranged in a cabin of the engineering vehicle and is in signal connection with the camera. The processor is configured to receive the surrounding images, compose the surrounding images into panoramic images of the engineering vehicle, and perform image recognition processing on the panoramic images to obtain the risk state of the engineering vehicle. And the display device is arranged in the cabin and is in signal connection with the processor. The display device is configured to receive and display the panoramic image. The processor controls the display device to display a corresponding picture on the panoramic image according to the risk state of the engineering vehicle. Therefore, the cabin warning identification system can provide more complete information about surrounding risk objects for operators in the cabin, so that the operators can effectively control the change of the working environment, and the working risk can be greatly reduced.
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Description

TECHNICAL FIELD

[0001] The present disclosure relates to a vehicle warning technology, and in particular, to a cabin warning recognition system. BACKGROUND

[0002] Engineering vehicles such as excavators and dump trucks should be equipped with warning devices such as warning lights and buzzers for reversing or rotating to warn people around to avoid hitting people around during operation. However, such warning devices can only be used to warn people around and cannot provide more complete information to the operator about the surrounding risks, so that the operator cannot effectively control the changes in the working environment, such as people suddenly entering the working radius of the engineering vehicle.

[0003] Therefore, there is an urgent need for a warning system for engineering vehicles to provide more complete information to the operator about the working environment. SUMMARY

[0004] The purpose of the present disclosure is to provide a cabin warning recognition system, which processor can receive the surrounding images captured by multiple cameras, and combine these surrounding images into a panoramic image of the engineering vehicle, and then perform image recognition processing on the panoramic image to identify whether there are risks in the panoramic image, and the moving speed and direction of the risks, thereby obtaining the risk state of the engineering vehicle, and displaying it on the display device in the cabin. Therefore, the cabin warning recognition system can provide the operator in the cabin with more complete information about the surrounding risks, so that the operator can effectively control the changes in the working environment, and the working risk can be greatly reduced.

[0005] According to the above purpose of the present disclosure, a cabin warning recognition system is proposed. The cabin warning recognition system includes a plurality of cameras, a processor, and a display device. The cameras are arranged on the engineering vehicle, and each camera is configured to capture surrounding images of the engineering vehicle. The processor is arranged in the cabin of the engineering vehicle and is signal connected with the cameras. The processor is configured to receive the surrounding images, combine the surrounding images into a panoramic image of the engineering vehicle, and perform image recognition processing on the panoramic image to obtain the risk state of the engineering vehicle. The display device is arranged in the cabin and is signal connected with the processor. The display device is configured to receive and display the panoramic image. The processor controls the display device to display the corresponding image on the panoramic image according to the risk state of the engineering vehicle.

[0006] According to an embodiment of the present disclosure, the number of the above-mentioned cameras is 4, and the shooting range of each camera is 190 degrees.

[0007] According to an embodiment of the present disclosure, the above-mentioned processor is arranged in the display device, and the display device has a touch screen.

[0008] According to an embodiment of the present disclosure, the surround view image comprises an image of the construction vehicle. The processor is further configured to divide the surround view image into a plurality of regions, and the regions surround the image of the construction vehicle. The corresponding image comprises a plurality of sub-images corresponding to the regions respectively. The processor controls the sub-images independently.

[0009] According to an embodiment of the present disclosure, each of the sub-images comprises a plurality of warning patterns arranged from the image of the construction vehicle to a direction away from the image.

[0010] According to an embodiment of the present disclosure, in each of the sub-images, the warning patterns have different colors.

[0011] According to an embodiment of the present disclosure, when the risk state of the construction vehicle is that at least one risk object appears in one of the regions of the surround view image, the processor controls the display device to display the corresponding sub-image on the region. When the risk state of the construction vehicle is that there is no risk object in the region of the surround view image, the processor controls the display device to turn off the corresponding sub-image of the region.

[0012] According to an embodiment of the present disclosure, when the risk object enters the region and moves towards the image of the construction vehicle, the processor controls the display device to display the corresponding sub-image on the region, so that the warning patterns of the sub-image are displayed one by one with 100% brightness as the risk object approaches. The warning patterns are turned off in a gradually fading manner within a preset time after the risk object moves away. The warning pattern at the position where the risk object stays is displayed with 50% transparency.

[0013] According to an embodiment of the present disclosure, when the risk object enters the region and moves towards the image at a speed greater than a preset speed, the processor controls the display device to display the corresponding sub-image on the region, so that the warning patterns of the sub-image are displayed one by one with 100% brightness as the risk object approaches, and the warning patterns are turned off in a gradually fading manner after the risk object moves away, and the cycle is repeated twice.

[0014] According to an embodiment of the present disclosure, the cabin warning recognition system further comprises a buzzer arranged on the construction vehicle, wherein the buzzer is signal connected with the processor. The processor is further configured to control the buzzer to emit a warning sound when the risk state of the construction vehicle is that at least one risk object appears in the surround view image.

[0015] According to an embodiment of the present disclosure, the cabin warning recognition system further comprises a warning light arranged on the construction vehicle, wherein the warning light is signal connected with the processor. The processor is further configured to control the warning light to emit a warning light when the risk state of the construction vehicle is that at least one risk object appears in the surround view image. BRIEF DESCRIPTION OF DRAWINGS

[0016] A better understanding of the present embodiments can be obtained from the following detailed description in conjunction with the drawings. Note that the features are not necessarily drawn to scale. In fact, the dimensions can be arbitrarily increased or decreased for the sake of discussion.

[0017] [ Figure 1 ] is a block diagram illustrating a cockpit warning recognition system according to an embodiment of the present disclosure.

[0018] [ Figure 2 ] is a schematic view of an engineering vehicle according to an embodiment of the present disclosure.

[0019] [ Figure 3 ] is a schematic view of a surround view image of an engineering vehicle according to an embodiment of the present disclosure.

[0020] [ Figure 4 ] is a display schematic of a warning pattern of a corresponding view sub-view of a risk state of an engineering vehicle according to an embodiment of the present disclosure.

[0021] [ Figure 5 ] is a display schematic of a warning pattern of a corresponding view sub-view of a risk state of another engineering vehicle according to an embodiment of the present disclosure.

[0022] [ Figure 6 ] is a block diagram illustrating a cockpit warning recognition system according to another embodiment of the present disclosure.

[0023] BRIEF DESCRIPTION OF DRAWINGS

[0024] 100: cockpit warning recognition system

[0025] 100a: cockpit warning recognition system

[0026] 200: camera

[0027] 300: processor

[0028] 400: display device

[0029] 500: engineering vehicle

[0030] 500i: image

[0031] 510: cockpit

[0032] 600: surround view image

[0033] 610a: region

[0034] 610b: region

[0035] 610c: region

[0036] 610d: Region

[0037] 610e: Area

[0038] 610f: Area

[0039] 610g: Region

[0040] 610h: Region

[0041] 620: Display area

[0042] 700: Corresponding screen

[0043] 710a: Sub-screen

[0044] 710b: Sub-screen

[0045] 710c: Sub-screen

[0046] 710d: Sub-screen

[0047] 710e: Sub-screen

[0048] 710f: sub-screen

[0049] 710g: Sub-screen

[0050] 710h: sub-screen

[0051] 712: Warning Symbol

[0052] 714: Warning Symbol

[0053] 716: Warning Symbol

[0054] 800: Buzzer

[0055] 900: Warning light

[0056] R: Range

[0057] RO: Risk Material Detailed Implementation

[0058] The embodiments of this disclosure are discussed in detail below. However, it will be understood that the embodiments provide many applicable concepts that can be implemented in a wide variety of specific situations. The discussed and disclosed embodiments are for illustrative purposes only and are not intended to limit the scope of this disclosure. All embodiments of this disclosure disclose a variety of different features, but these features may be implemented individually or in combination as needed.

[0059] Furthermore, the terms "first," "second," etc., used in this article do not specifically refer to order or sequence; they are merely used to distinguish elements or operations described using the same technical terms.

[0060] The spatial relationship between elements described in the present disclosure is applicable not only to the orientation shown in the drawings, but also to orientations not presented in the drawings, such as an inverted orientation. In addition, the term "connected", "electrically connected", or the like, as referred to in the present disclosure, is not limited to only direct connection or electrical connection, but can also include indirect connection or electrical connection as needed.

[0061] Please refer to Figure 1 With Figure 2 respectively show a block diagram of a cab warning recognition system 100 and a schematic diagram of a construction vehicle 500 according to an embodiment of the present disclosure. The cab warning recognition system 100 is applied to the construction vehicle 500 to provide the operator in the cab 510 of the construction vehicle 500 with more complete risk information, thereby improving the safety of the construction vehicle 500 when working. For example, the construction vehicle 500 can be a shovel, a bulldozer, or a forklift, etc.

[0062] The cab warning recognition system 100 can mainly include a plurality of cameras 200, a processor 300, and a display device 400. These cameras 200 are installed on the construction vehicle 500. For example, these cameras 200 can be installed on the front, rear, left, and right sides of the cab 510 of the construction vehicle 500 to shoot the surrounding images of the construction vehicle 500 from the four sides of the construction vehicle 500. In some embodiments, the number of cameras 200 is 4, and the shooting range of each camera 200 is 190 degrees. In this way, the shooting range of these cameras 200 can completely cover the surroundings of the construction vehicle 500. The number and shooting range of the cameras 200 are not limited to the above-mentioned embodiments, as long as the shooting range of all cameras 200 can be spliced to completely cover the surroundings of the construction vehicle 500.

[0063] The processor 300 is arranged in the cab 510 of the construction vehicle 500. The processor 300 can be signal connected with these cameras 200 through wired transmission or wireless transmission. Therefore, the processor 300 can receive the surrounding images of the construction vehicle 500 shot by these cameras 200. Please refer to Figure 3 which shows a schematic diagram of a panoramic image 600 of a construction vehicle 500 according to an embodiment of the present disclosure. The processor 300 can splice the received surrounding images to form the panoramic image 600 of the construction vehicle 500 through image processing. In Figure 3In some embodiments, the surround view image 600 is an octagonal image. The surround view image 600 can also be an image of other shapes, such as a square, a circle, a polygon other than a square, etc. The present disclosure is not limited thereto. The surround view image 600 can include the image 500i of the construction vehicle 500. In some embodiments, the processor 300 can divide the surround view image 600 into a plurality of regions 610a-610h, which surround the image 500i of the construction vehicle 500. The surround view image 600 is not limited to eight regions 610a-610h. The surround view image 600 can be divided according to the needs of use. The present disclosure is not limited thereto.

[0064] The processor 300 can further perform image recognition on the surround view image 600 to identify whether the risk object RO appears in the surround view image 600, the moving speed of the risk object RO, and the distance between the risk object RO and the image 500i of the construction vehicle 500, so as to obtain the risk state of the construction vehicle 500. For example, the processor 300 can calculate the moving speed of the risk object RO by using the moving distance of the risk object RO between two images and the display time of each image. In addition, the processor 300 can directly identify the distance between the risk object RO and the image 500i of the construction vehicle 500 in the surround view image 600 to obtain the distance between the risk object RO and the construction vehicle 500.

[0065] In some embodiments, the processor 300 is connected to the control system of the cabin 510 of the construction vehicle 500 through wired or wireless signals, and can receive the operation information of the construction vehicle 500. For example, the processor 300 can obtain the rotation information, the movement information, and the implement operation information of the construction vehicle 500 from the control system of the cabin 510. The implement operation information can be, for example, the information of the excavating operation of the excavator, the information of the pushing and shoveling operation of the bulldozer, and the lifting information of the fork of the forklift. Since the risk state of the construction vehicle 500 is higher when the construction vehicle 500 rotates, moves, and / or operates than when the construction vehicle 500 is stationary, the processor 300 can further determine the risk state of the construction vehicle 500 according to the operation information of the construction vehicle 500, so as to reduce the operation risk of the construction vehicle 500.

[0066] The processor 300 can predict whether the risk object RO will enter the working range of the construction vehicle 500 and the time when the risk object RO enters the working range of the construction vehicle 500 according to the moving speed and direction of the risk object RO. The processor 300 can further cooperate with the operation information of the construction vehicle 500 when performing the above prediction.

[0067] The display device 400 is disposed within the cabin 510 of the engineering vehicle 500 and can be signal-connected to the processor 300 via wired or wireless transmission. In some embodiments, the processor 300 may be disposed within the display device 400 and electrically connected to the display device 400 via physical wiring. The display device 400 can receive and display the surround view image 600 from the processor 300. In some embodiments, such as Figure 3 As shown, the surround view image 600 includes a display area 620, and the range R of the surround view image 600 formed by the surrounding images captured by the camera 200 is larger than the display area 620. That is, the detection range of the camera 200 is larger than the range displayed by the display device 400. Therefore, the processor 300 can identify the risky object RO when it enters the range R of the surround view image 600 but before entering the display area 620.

[0068] The processor 300 can further control the display device 400 to display a corresponding screen 700 on the surround view image 600 based on the risk status of the engineering vehicle 500 obtained through image recognition processing. The corresponding screen 700 may contain multiple sub-screens, such as sub-screens 710a to 710h. Figure 3 In the illustrated embodiment, the panoramic image 600 is divided into eight regions 610a to 610h, and the corresponding screen 700 is divided into eight sub-screens 710a to 710h, each corresponding to a region 610a to 610h. That is, the number of sub-screens 710a to 710h is equal to the number of regions 610a to 610h. The processor 300 can independently control these sub-screens 710a to 710h. For example, when the hazardous substance RO enters region 610h of the panoramic image 600, the processor 300 controls the display device 400 to display the corresponding sub-screen 710h of the screen 700 on region 610h.

[0069] In some embodiments, each sub-screen 710a-710h includes multiple warning patterns, such as warning patterns 712, 714, and 716. Warning patterns 712, 714, and 716 may be an OSD (On-Screen Display). The number of warning patterns in each sub-screen 710a-710h can be adjusted as needed, and is not limited to three. Figure 3 As shown, warning symbols 712, 714, and 716 are arranged from beside the image 500i of the engineering vehicle 500 in a direction away from the image 500i. Specifically, warning symbol 712 is closest to the image 500i of the engineering vehicle 500, warning symbol 716 is farthest from the image 500i, and warning symbol 714 is between warning symbols 712 and 716. In some embodiments, warning symbols 712, 714, and 716 have different colors to facilitate operators' visual identification of the level of risk. For example, warning symbol 712 may be red, warning symbol 714 may be orange, and warning symbol 716 may be green.

[0070] Referring to FIG. 7A, the display device 400 displays the risk state of the engineering vehicle 500 in the form of the sub-screens 710a-710h of the corresponding screen 700. The display device 400 displays the sub-screens 710a-710h in the form of the warning patterns 712, 714, and 716 of the corresponding screen 700. The display device 400 displays the warning patterns 712, 714, and 716 in the form of the corresponding sub-screens 710a-710h in the regions 610a-610h of the ring image 600. Figure 3 With reference to FIG. 7B, the display device 400 displays the risk state of the engineering vehicle 500 in the form of the sub-screens 710a-710h of the corresponding screen 700. The display device 400 displays the sub-screens 710a-710h in the form of the warning patterns 712, 714, and 716 of the corresponding screen 700. The display device 400 displays the warning patterns 712, 714, and 716 in the form of the corresponding sub-screens 710a-710h in the regions 610a-610h of the ring image 600. Figure 4 When the risk state of the engineering vehicle 500 is that at least one risk object RO appears in one of the regions 610a-610h of the ring image 600, the processor 300 controls the display device 400 to display the corresponding one of the sub-screens 710a-710h on the one of the regions 610a-610h. For example, when the risk state of the engineering vehicle 500 is that the risk object RO appears in the region 610h of the ring image 600, the processor 300 controls the display device 400 to display the sub-screen 710h on the region 610h. In some embodiments, when the risk object RO enters the region 610h and moves toward the image 500i of the engineering vehicle 500, the processor 300 controls the display device 400 to display the corresponding sub-screen 710h on the region 610h, and causes the warning patterns 716, 714, and 712 of the sub-screen 710h to be displayed in turn with 100% brightness as the risk object RO approaches, i.e., directly from 0% to 100% brightness. The warning patterns 716, 714, and 712 gradually fade from 100% to 50% brightness after the risk object RO moves away. Figure 4 Specifically, when the risk object RO enters the region 610h, the processor 300 controls the display device 400 to display the warning pattern 716 in the sub-screen 710h on the region 610h with 100% brightness. When the risk object RO continues to move toward the image 500i of the engineering vehicle 500 to the corresponding position of the warning pattern 714, the processor 300 controls the display device 400 to display the warning pattern 714 in the sub-screen 710h with 100% brightness, and causes the warning pattern 716 to gradually fade from 100% to 50% brightness in a preset time. When the risk object RO continues to move to the corresponding position of the warning pattern 712, the processor 300 controls the display device 400 to display the warning pattern 712 in the sub-screen 710h with 100% brightness, and causes the warning pattern 714 to gradually fade from 100% to 50% brightness or gradually fade off in the preset time. If the risk object RO finally stays at the warning pattern 712, the warning pattern 712 is displayed with a transparency of, for example, 50%.

[0071]

[0072] ​When the risk state of the engineering vehicle 500 is that there is no risk object RO in one of the regions 610a~610h of the surround view image 600, the processor 300 controls the display device 400 to turn off the corresponding one of the sub-screens 710a~710h of the regions 610a~610h. For example, when there is no risk object RO in the region 610h, the processor 300 controls the display device 400 to turn off the corresponding sub-screen 710h.

[0073] Please refer to Figure 3 and Figure 5 wherein Figure 5 is a display schematic diagram of the warning patterns 712, 714, and 716 of the sub-screen 710h of the corresponding screen 700 showing another risk state of the engineering vehicle 500 according to an embodiment of the present disclosure. When a risk object RO enters one of the regions 610a~610h, for example, the region 610h, and moves toward the image 500i of the engineering vehicle 500 at a speed greater than a preset speed, the processor 300 controls the display device 400 to display the corresponding sub-screen 710h on the region 610h. The processor 300 controls the warning patterns 716, 714, and 712 of the sub-screen 710h to be displayed one by one at 100% brightness as the risk object RO approaches, and causes these warning patterns 716, 714, and 712 to gradually fade from 100% brightness to 50% brightness or gradually fade out after the risk object RO moves away, so as to cycle twice. The warning pattern 712, 714, or 716 corresponding to the place where the risk object RO finally stays is displayed at a transparency of, for example, 50%. Therefore, the cabin warning recognition system 100 can perform different warning modes for the moving conditions of the risk object RO.

[0074] The screen of the display device 400 can be a touch screen. Therefore, the screen of the display device 400 can serve as a human-machine operation interface to facilitate the setting of the image recognition processing of the processor 300 and the display setting of the display device 400.

[0075] Please refer to Figure 6 which is a block diagram of a cabin warning recognition system 100a according to another embodiment of the present disclosure. The cabin warning recognition system 100a of this embodiment has substantially the same architecture as the cabin warning recognition system 100 of the commercial vehicle described above, and the difference between the two is that the cabin warning recognition system 100a further comprises a buzzer 800 and a warning light 900.

[0076] Please refer to Figure 2 and Figure 3The buzzer 800 is disposed on the engineering vehicle 500 and can be connected to the processor 300 by wired or wireless transmission. In some embodiments, the buzzer 800 is independent of the display device 400 and can be electrically connected to the display device 400 by a wire. The buzzer 800 can also be electrically connected to the circuit system in the cabin 510 of the engineering vehicle 500. When the processor 300 identifies that the risk state of the engineering vehicle 500 is that the risk object RO appears in any one of the regions 610a-610h of the panoramic image 600, the processor 300 controls the buzzer 800 to emit an alarm sound to remind the operator.

[0077] The warning light 900 is disposed on the engineering vehicle 500 and can be connected to the processor 300 by wired or wireless transmission. In some embodiments, the warning light 900 can be externally connected to the display device 400 by a wire. When the processor 300 identifies that the risk state of the engineering vehicle 500 is that the risk object RO appears in any one of the regions 610a-610h of the panoramic image 600, the processor 300 controls the warning light 900 to emit an alarm light to remind the operator.

[0078] In some embodiments, when the engineering vehicle 500 is not in motion, the display device 400 can be used to display the panoramic image 600 and the corresponding picture 700. However, when the engineering vehicle 500 is not in motion, the buzzer 800 and the warning light 900 can also be used to provide warnings in addition to displaying the panoramic image 600 and the corresponding picture 700. When the engineering vehicle 500 is moving, rotating, and / or working, the buzzer 800 and the warning light 900 are preferably used to provide warnings in addition to displaying the panoramic image 600 and the corresponding picture 700 by the display device 400.

[0079] As can be seen from the above embodiments, an advantage of the present disclosure is that the processor of the cabin warning and recognition system can receive surrounding images captured by multiple cameras, form the surrounding images into a panoramic image of the engineering vehicle, and perform image recognition processing on the panoramic image to identify whether there is a risk object in the panoramic image, the moving speed and direction of the risk object, thereby obtaining the risk state of the engineering vehicle and displaying it on the display device in the cabin. Therefore, the cabin warning and recognition system can provide the operator in the cabin with more complete information about the surrounding risk objects, enabling the operator to effectively control changes in the working environment and greatly reducing the risk of work.

[0080] Although the present disclosure has been disclosed as above with embodiments, it is not intended to limit the present disclosure, and any person skilled in the art can make various modifications and decorations without departing from the concept and scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the claims.

Claims

1. A cockpit warning and recognition system, characterized in that, The cockpit warning and recognition system includes: Multiple cameras are mounted on an engineering vehicle, each of which is configured to capture images of the perimeter of the engineering vehicle. A processor, located in a compartment of the engineering vehicle and connected to the plurality of cameras, is configured to receive the plurality of surrounding images, assemble the plurality of surrounding images into a surround view image of the engineering vehicle, and perform image recognition processing on the surround view image to obtain a risk status of the engineering vehicle; and A display device is located in the cockpit and is signal-connected to the processor. The display device is configured to receive and display the surround view image. The processor controls the display device to display a corresponding image on the surround view image according to the risk status of the engineering vehicle.

2. The cockpit warning and recognition system as described in claim 1, characterized in that, The number of cameras is 4, and the shooting range of each camera is 190 degrees.

3. The cockpit warning and recognition system as described in claim 1, characterized in that, The processor is located in the display device, and the display device has a touch screen.

4. The cockpit warning and recognition system as described in claim 1, characterized in that, The surround view image includes an image of the engineering vehicle. The processor is further configured to divide the surround view image into multiple regions, and the multiple regions surround the image of the engineering vehicle. The corresponding screen includes multiple sub-screens corresponding to the multiple regions, and the processor independently controls the multiple sub-screens.

5. The cockpit warning and recognition system as described in claim 4, characterized in that, Each of the multiple sub-images contains multiple warning symbols arranged from the image of the engineering vehicle toward the direction away from the image.

6. The cockpit warning and recognition system as described in claim 5, characterized in that, In each of the multiple sub-screens, the multiple warning patterns have different colors.

7. The cockpit warning and recognition system as described in claim 5, characterized in that: When the risk status of the engineering vehicle is such that at least one risk object appears in one of the multiple areas of the surround view image, the processor controls the display device to display the corresponding sub-screen on the one of the multiple areas; as well as When the risk status of the engineering vehicle is such that there is no more than one risky object in the multiple areas of the surround view image, the processor controls the display device to turn off the corresponding sub-screen of the multiple areas.

8. The cockpit warning and recognition system as described in claim 7, characterized in that, When at least one risky object enters the multiple areas and moves toward the image, the processor controls the display device to display the corresponding sub-screen on the multiple areas, so that the multiple warning patterns on the sub-screen are displayed one by one with 100% brightness as the at least one risky object approaches, and the multiple warning patterns are gradually faded off within a preset time after the at least one risky object moves away, and the corresponding one of the multiple warning patterns at the place where the at least one risky object is stationed is displayed with 50% transparency.

9. The cockpit warning and recognition system as described in claim 8, characterized in that, When at least one risky object enters the object in the plurality of areas and moves toward the image at a speed greater than a preset speed, the processor controls the display device to display the corresponding sub-screen on the object in the plurality of areas, so that the multiple warning patterns on the sub-screen are displayed one by one at 100% brightness as the at least one risky object approaches, and the multiple warning patterns are gradually faded off after the at least one risky object moves away, and this cycle is repeated twice.

10. The cockpit warning and recognition system as described in claim 1, characterized in that, The cockpit warning and recognition system also includes a buzzer installed on the engineering vehicle, wherein the buzzer is signal-connected to the processor, which is further configured to control the buzzer to emit a warning sound when the engineering vehicle is in a risk state where at least one risk object appears in the surround view image.

11. The cockpit warning and recognition system as described in claim 1, characterized in that, The cockpit warning and recognition system also includes a warning light installed on the engineering vehicle, wherein the warning light is signal-connected to the processor, and the processor is further configured to control the warning light to emit a warning light when the engineering vehicle is in a risk state where at least one risk object appears in the surround view image.