Cage transportation system safety early warning method, device and equipment and storage medium

Abstract

The invention belongs to the technical field of mine safety detection, and discloses a safety early warning method, device and equipment for a cage transportation system and a storage medium. The method comprises the following steps: acquiring an original image acquired by a camera; extracting a cage door area image from the original image; determining the opening and closing state of the cage door based on the cage door area image; detecting personnel inside and outside the cage based on the original image by using a personnel detection algorithm; according to the opening and closing state of the cage door and a personnel detection result, judging whether personnel have an intrusion behavior or not; according to the mode, the video image of the cage door area is analyzed, the opening and closing state of the door is accurately recognized, a personnel detection algorithm is combined, whether the situation that the door is closed but personnel intrude exists or not is analyzed in a fusion mode, and an early warning notification can be sent out in time. And field personnel can quickly respond and take measures, so that the safety management level of the coal mine is improved, and safety accidents are prevented.

Description

Technical Field

[0001] The present invention relates to the technical field of mine safety detection, and in particular to a safety early warning method, device, equipment and storage medium for a cage transportation system. Background Art

[0002] In coal mining, cages are a crucial component of the mine's up-and-down transportation system. Ensuring the cage's safe operation is crucial for worker safety. This is especially true when the cage door is closed or in the process of closing. Personnel must be prohibited from entering or exiting the cage door. A closed cage door indicates that cage transportation operations are ongoing. Entering could expose personnel to serious dangers such as pinching and impact, potentially leading to accidents.

[0003] Currently, the cage transportation system lacks an effective real-time monitoring mechanism for safety, making it impossible to accurately determine the open and close status of the cage door and whether there is any intrusion.

[0004] The above content is only used to assist in understanding the technical solution of the present invention and does not constitute an admission that the above content is prior art. Summary of the Invention

[0005] The main purpose of the present invention is to provide a safety warning method, device, equipment and storage medium for a tank cage transportation system, aiming to solve the technical problem that the tank cage transportation system lacks an effective real-time monitoring mechanism for safety and cannot accurately determine the open and close status of the tank cage door and whether there is a person breaking in.

[0006] To achieve the above-mentioned object, the present invention provides a safety early warning method for a tank cage transportation system, the safety early warning method for a tank cage transportation system comprising the following steps:

[0007] Get the original image captured by the camera;

[0008] extracting a cage door area image from the original image;

[0009] determining an open / closed state of the cage door based on the cage door area image;

[0010] Detecting people inside and outside the cage based on the original image using a people detection algorithm;

[0011] Determining whether a person has intruded according to the open / close state of the cage door and the person detection result;

[0012] If there is any intrusion, a real-time alarm will be triggered.

[0013] In some embodiments, extracting the cage door area image from the original image includes:

[0014] Establish the mapping relationship between the original image and the cage door area through prior knowledge;

[0015] extracting the area where the cage door is located from the original image based on the mapping relationship;

[0016] The extracted area image is rotated by a corresponding angle to obtain the cage door area image.

[0017] In some embodiments, determining the open / closed state of the cage door based on the cage door area image includes:

[0018] Performing straight line detection on the cage door area image;

[0019] Filter and retain lines that meet the preset conditions based on the detection results;

[0020] Counting the number of lines that meet the preset conditions;

[0021] The open / close state of the cage door is determined according to the number of lines.

[0022] In some embodiments, determining the open / close state of the cage door according to the number of lines includes:

[0023] If the number of the lines exceeds a threshold, it is determined that the cage door is in an open state;

[0024] If the number of the lines does not exceed the number threshold, it is determined that the cage door is in a closed state.

[0025] In some embodiments, the method further comprises:

[0026] If the number of the lines shows a decreasing trend, it is determined that the cage door is in a closing state.

[0027] In some embodiments, determining whether a person has intruded based on the open / close state of the cage door and the person detection result includes:

[0028] If the cage door is in a closed state and there is someone in the cage, it is determined that there is an intrusion behavior.

[0029] In some embodiments, the method further comprises:

[0030] If the cage door is in a closing state and a person outside the cage is about to enter, a real-time alarm is triggered.

[0031] In addition, to achieve the above-mentioned purpose, the present invention further proposes a safety warning device for a cage transportation system, the safety warning device for a cage transportation system comprising:

[0032] The acquisition module is used to obtain the original image captured by the camera;

[0033] An extraction module, configured to extract a cage door area image from the original image;

[0034] a detection module, configured to determine an open / closed state of the cage door based on the cage door area image;

[0035] The detection module is used to detect people inside and outside the cage based on the original image using a people detection algorithm;

[0036] A discrimination module, configured to determine whether a person has intruded according to the open / close state of the cage door and the person detection result;

[0037] The early warning module is used to trigger a real-time alarm if there is any intrusion.

[0038] In addition, to achieve the above-mentioned purpose, the present invention also proposes a tank cage transportation system safety warning device, which includes: a memory, a processor, and a tank cage transportation system safety warning program stored on the memory and runnable on the processor, and the tank cage transportation system safety warning program is configured to implement the steps of the tank cage transportation system safety warning method described above.

[0039] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a tank cage transportation system safety program is stored. When the tank cage transportation system safety program is executed by a processor, the steps of the tank cage transportation system safety method as described above are implemented.

[0040] The present invention obtains an original image captured by a camera; extracts a cage door area image from the original image; determines the open / close state of the cage door based on the cage door area image; utilizes a personnel detection algorithm to detect personnel inside and outside the cage based on the original image; determines whether a person has intruded according to the open / close state of the cage door and the personnel detection result; and triggers a real-time alarm if an intrusion has occurred. The above method analyzes the video image of the cage door area to accurately identify the open / close state of the door, and combines the personnel detection algorithm to integrate and analyze whether there is a situation where the door is closed but a person has still intruded, and can immediately issue an early warning notification to ensure that on-site personnel can respond quickly and take measures, thereby improving the safety management level of coal mines and preventing the occurrence of safety accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a flow chart of a first embodiment of a safety early warning method for a cage transportation system according to the present invention;

[0042] Figure 2 Schematic diagram of the overall system architecture of the cage transportation system safety early warning method of the present invention;

[0043] Figure 3 Schematic diagram of the overall process of the cage transportation system safety early warning method of the present invention;

[0044] Figure 4 This is a schematic diagram of a cage door in a closed state in the cage transportation system safety early warning method of the present invention;

[0045] Figure 5 This is a schematic diagram of a cage door in an open state in the cage transportation system safety early warning method of the present invention;

[0046] Figure 6 This is a structural block diagram of the first embodiment of the safety warning device for a cage transportation system of the present invention.

[0047] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0048] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0049] The embodiment of the present invention provides a safety early warning method for a cage transportation system, referring to Figure 1 , Figure 1 This is a flow chart of a first embodiment of a safety early warning method for a cage transportation system according to the present invention.

[0050] In this embodiment, the cage transportation system safety early warning method includes the following steps:

[0051] Step S10: collecting the original image of the cage transportation system through the camera.

[0052] In this embodiment, the executing body of this embodiment is the tank cage transportation system safety warning device, wherein the tank cage transportation system safety warning device has functions such as data processing, data communication and program running. The tank cage transportation system safety warning device can be a computer terminal device or other network device, and of course it can also be other devices with similar functions. This embodiment does not limit this.

[0053] It should be noted that in coal mine production, cages are an important component of the mine's up-and-down transportation system. Ensuring the safe operation of the cages is crucial to the safety of workers, especially when the cage door is closed or in the process of closing. Personnel must be prohibited from entering or exiting the cage door. When the cage door is closed, it means that the cage transportation operation is in progress. If personnel enter, they may face serious risks such as pinching and impact, which can easily lead to safety accidents. Currently, the cage transportation system lacks an effective real-time monitoring mechanism for safety, making it impossible to accurately determine the open and close status of the cage door and whether there is any intrusion.

[0054] In order to solve the above technical problems, in this embodiment, the original image captured by the camera is obtained; the cage door area image is extracted from the original image; the open and close status of the cage door is determined based on the cage door area image; the personnel detection algorithm is used to detect personnel inside and outside the cage based on the original image; whether there is any intrusion by personnel is determined based on the open and close status of the cage door and the personnel detection result; if there is any intrusion, a real-time alarm is triggered. The above method analyzes the video image of the cage door area to accurately identify the open and close status of the door, and combines the personnel detection algorithm to integrate and analyze whether there is a situation where the door is closed but there is still a person breaking in, and can immediately issue an early warning notification to ensure that on-site personnel can respond quickly and take measures, thereby improving the safety management level of coal mines and preventing the occurrence of safety accidents. Specifically, it can be achieved in the following way.

[0055] In the specific implementation, this embodiment first describes the overall architecture of the early warning system. Figure 2 As shown in the figure, the system consists of the following modules: 1. Video stream image processing module: the camera collects video streams and processes the images in real time; 2. Line analysis module: performs line detection and analysis on the processed images; 3. Switch status detection module: determines the switch status of the cage door by the direction and number of lines and then according to the threshold; 4. Safety area identification module: selects the safety area on the original image and draws a bounding box to mark it; 5. Personnel detection module: uses the personnel detection algorithm to detect personnel; 6. Fusion judgment module: comprehensively considers the position, switch status and personnel detection results of the cage door, and performs logical reasoning to determine whether there is an intrusion; 7. Alarm module: based on the judgment results of the fusion judgment module, intelligently judges and flexibly decides whether to trigger the real-time alarm mechanism.

[0056] Further, the specific processing flow can refer to Figure 3 As shown in the figure, Step 1: Based on real-time business requirements, an image is extracted every 15 frames from the camera video stream for processing. Using prior knowledge, a mapping relationship is established between the original image and the cage door area, the cage door area is extracted, and the image of this area is rotationally corrected. Step 2: Lines are detected within the local area. By analyzing the slope of the lines, lines that are parallel to or nearly horizontal to the horizontal axis are selected and retained. Step 3: The extracted lines are counted and compared with a set threshold. If the number of lines within the area exceeds the threshold, the cage door is open; conversely, if the number of lines does not reach the threshold, the cage door is considered closed. Step 4: Person detection is performed on the video stream using an object detection algorithm. Step 5: By integrating the cage door open / close status with person detection, real-time monitoring is performed to determine whether a person is entering the secured area while the door is not open. If a person is detected and enters the secured area while the door is not open, the system triggers an alarm.

[0057] In the specific implementation, it is necessary to first use the camera to collect the original image of the tank cage transportation system. For example, according to the real-time business requirements, one frame of image is extracted every 15 frames of the camera video stream for processing, and the video stream collected by the camera is decoded into a video in .h264 format for real-time frame extraction processing.

[0058] Step S20: extracting the cage door area image from the original image.

[0059] In a specific implementation, in this embodiment, the cage door area image can be extracted from the original image. Specifically, a mapping relationship between the original image and the cage door area is established through prior knowledge; the area where the cage door is located is extracted from the original image based on the mapping relationship; and the extracted area image is rotated by a corresponding angle to obtain the cage door area image.

[0060] It should be noted that, based on the mapping relationship, the position of the cage door in the original image can be determined, and based on the position, the area where the cage door is located can be extracted. Due to different camera settings, the direction of the captured image may be incorrect in actual situations. The image of the cage door area can be adjusted through rotation correction. The specific rotation angle can be set according to actual conditions, and this is not limited in this embodiment.

[0061] Step S30: determining the open / close state of the cage door based on the cage door area image.

[0062] In this embodiment, the open / closed state of the cage door can be further determined based on the extracted cage door area image. Specifically, straight line detection is performed on the cage door area image; lines that meet preset conditions are screened and retained based on the detection results; the number of lines that meet the preset conditions is counted; and the open / closed state of the cage door is determined based on the number of lines.

[0063] It should be noted that the Hough transform is used to detect lines within the aforementioned local area. The principle behind this is a one-to-one correspondence between points in image space and lines in parameter space. A line in image space is represented by y = kx + b, and a line in parameter space is represented by ρ = cosθx + sinθy. This transforms the problem of detecting lines in image space into the problem of finding the maximum number of sinusoidal curves passing through the point (r, θ) in polar coordinate parameter space. By determining the slope k of each line, lines parallel to the horizontal axis of the image are retained, while vertical lines are discarded. In this embodiment, qualifying lines are those that are parallel to or nearly horizontal to the horizontal axis.

[0064] Further, the cage door area image can refer to Figure 4 and Figure 5 As shown, Figure 4 and Figure 5The dotted box in the middle is the image of the cage door area. Figure 4 Indicates that the cage door is closed. Figure 5 Indicates that the cage door is open. A quantity threshold can be determined based on the number of lines. If the number of lines exceeds the quantity threshold, the cage door is determined to be open. If the number of lines does not exceed the quantity threshold, the cage door is determined to be closed. The quantity threshold can be set according to actual conditions and is not limited in this embodiment.

[0065] In some embodiments, if it is detected that the number of lines is decreasing, it is determined that the cage door is in a closing state.

[0066] Step S40: Detecting people inside and outside the cage based on the original image using a people detection algorithm.

[0067] It should be noted that the personnel detection algorithm in this embodiment can be YOLO-V7, which is used to train and optimize the scene data, and then detect the staff in the video stream image. In actual situations, other detection methods can also be used, which is not limited in this embodiment.

[0068] Step S50: determining whether a person has intruded according to the open / close state of the cage door and the person detection result.

[0069] In a specific implementation, if the cage door is closed and someone is inside, an intrusion is detected. Furthermore, if the target detection algorithm identifies two workers standing in front of the cage door, preparing to enter, while the cage door is closing, this clearly presents a safety risk. Therefore, in this embodiment, a real-time alarm is also triggered when the cage door is closing and someone outside the cage is preparing to enter.

[0070] Step S60: If there is any intrusion, a real-time alarm is triggered.

[0071] In this embodiment, when an intrusion is detected, a real-time alarm is triggered. The alarm modes include but are not limited to buzzer prompts and light flashing reminders, and the alarm information is sent to the control room at the same time.

[0072] In this embodiment, an original image captured by a camera is obtained; an image of a cage door area is extracted from the original image; the open / close state of the cage door is determined based on the image of the cage door area; a personnel detection algorithm is used to detect personnel inside and outside the cage based on the original image; and it is determined whether there is any intrusion by a person based on the open / close state of the cage door and the personnel detection result; if there is any intrusion, a real-time alarm is triggered. The above method analyzes the video image of the cage door area to accurately identify the open / close state of the door, and combines it with the personnel detection algorithm to integrate and analyze whether there is a situation where the door is closed but there is still a person intruding, and can immediately issue an early warning notification to ensure that on-site personnel can respond quickly and take measures, thereby improving the safety management level of coal mines and preventing the occurrence of safety accidents.

[0073] In addition, an embodiment of the present invention further proposes a storage medium on which a tank cage transportation system safety warning program is stored. When the tank cage transportation system safety warning program is executed by a processor, the steps of the tank cage transportation system safety warning method as described above are implemented.

[0074] Reference Figure 6 , Figure 6 This is a structural block diagram of the first embodiment of the safety warning device for a cage transportation system of the present invention.

[0075] like Figure 6 As shown, the cage transportation system safety warning device proposed in the embodiment of the present invention includes:

[0076] The acquisition module 10 is used to acquire the original image captured by the camera.

[0077] The extraction module 20 is used to extract the cage door area image from the original image.

[0078] The detection module 30 is configured to determine the open / close state of the cage door based on the cage door area image.

[0079] The detection module 30 is configured to detect people inside and outside the cage based on the original image using a people detection algorithm.

[0080] The determination module 40 is used to determine whether a person breaks in based on the open / close state of the cage door and the person detection result.

[0081] The early warning module 50 is used to trigger a real-time alarm if there is any intrusion.

[0082] In this embodiment, an original image captured by a camera is obtained; an image of a cage door area is extracted from the original image; the open / close state of the cage door is determined based on the image of the cage door area; a personnel detection algorithm is used to detect personnel inside and outside the cage based on the original image; and it is determined whether there is any intrusion by a person based on the open / close state of the cage door and the personnel detection result; if there is any intrusion, a real-time alarm is triggered. The above method analyzes the video image of the cage door area to accurately identify the open / close state of the door, and combines it with the personnel detection algorithm to integrate and analyze whether there is a situation where the door is closed but there is still a person intruding, and can immediately issue an early warning notification to ensure that on-site personnel can respond quickly and take measures, thereby improving the safety management level of coal mines and preventing the occurrence of safety accidents.

[0083] In some embodiments, the extraction module 20 is used to establish a mapping relationship between the original image and the cage door area through prior knowledge;

[0084] extracting the area where the cage door is located from the original image based on the mapping relationship;

[0085] The extracted area image is rotated by a corresponding angle to obtain the cage door area image.

[0086] In some embodiments, the detection module 30 is used to perform straight line detection on the cage door area image;

[0087] Filter and retain lines that meet the preset conditions based on the detection results;

[0088] Counting the number of lines that meet the preset conditions;

[0089] The open / close state of the cage door is determined according to the number of lines.

[0090] In some embodiments, the detection module 30 is configured to determine that the cage door is in an open state if the number of lines exceeds a number threshold;

[0091] If the number of the lines does not exceed the number threshold, it is determined that the cage door is in a closed state.

[0092] In some embodiments, the detection module 30 is configured to determine that the cage door is in a closing state if the number of the lines shows a decreasing trend.

[0093] In some embodiments, the determination module 40 is configured to determine that an intrusion occurs if the cage door is in a closed state and there is someone in the cage.

[0094] In some embodiments, the early warning module 50 is configured to trigger a real-time alarm if the cage door is in a closing state and a person outside the cage is about to enter.

[0095] An embodiment of the present application also provides a tank cage transportation system safety warning device, including a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus, the memory is used to store the tank cage transportation system safety warning program; the processor is used to implement the above-mentioned tank cage transportation system safety warning method when executing the program stored in the memory.

[0096] The communication bus mentioned in the cage transportation system safety warning device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. This communication bus can be divided into an address bus, a data bus, and a control bus.

[0097] The communication interface is used for communication between the above-mentioned cage transportation system safety warning equipment and other equipment.

[0098] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage. Alternatively, the memory may be at least one storage device located remote from the processor.

[0099] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0100] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When software is used for implementation, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrations. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)).

[0101] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0102] Each embodiment in this specification is described in a related manner. Similar parts between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the system embodiment is generally similar to the method embodiment, so the description is relatively simple. For related parts, refer to the description of the method embodiment.

[0103] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. 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 various embodiments of the present invention.

[0104] It should be understood that the above is only an example and does not constitute any limitation to the technical solution of the present invention. In specific applications, those skilled in the art can make settings as needed, and the present invention does not impose any limitation on this.

[0105] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of it according to actual needs to achieve the purpose of the embodiment scheme, and no limitation is made here.

[0106] In addition, for technical details not fully described in this embodiment, reference can be made to the safety warning method for the cage transportation system provided in any embodiment of the present invention, and will not be repeated here.

[0107] In addition, it should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0108] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0109] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, or of course by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0110] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

[0111] It is understandable that the system provided by the embodiment of the present invention corresponds to the method provided by the embodiment of the present invention, and the explanation, examples and beneficial effects of the relevant contents can refer to the corresponding parts of the above method.

Claims

1. A safety early warning method for a cage transportation system, characterized in that: The cage transportation system safety early warning method includes: Collect original images of the cage transportation system through the camera; extracting a cage door area image from the original image; determining an open / closed state of the cage door based on the cage door area image; Detecting people inside and outside the cage based on the original image using a people detection algorithm; Determining whether a person has intruded according to the open / close state of the cage door and the person detection result; If there is any intrusion, a real-time alarm will be triggered.

2. The cage transportation system safety early warning method according to claim 1, characterized in that: The step of extracting the cage door area image from the original image includes: Establish the mapping relationship between the original image and the cage door area through prior knowledge; extracting the area where the cage door is located from the original image based on the mapping relationship; The extracted area image is rotated by a corresponding angle to obtain the cage door area image.

3. The cage transportation system safety early warning method according to claim 1, characterized in that: The determining the open / close state of the cage door based on the cage door area image includes: Performing straight line detection on the cage door area image; Filter and retain lines that meet the preset conditions based on the detection results; Counting the number of lines that meet the preset conditions; The open / close state of the cage door is determined according to the number of lines.

4. The cage transportation system safety early warning method according to claim 3, characterized in that: Determining the open / close state of the cage door according to the number of lines includes: If the number of the lines exceeds a threshold, it is determined that the cage door is in an open state; If the number of the lines does not exceed the number threshold, it is determined that the cage door is in a closed state.

5. The cage transportation system safety early warning method according to claim 4, characterized in that: The method further comprises: If the number of the lines shows a decreasing trend, it is determined that the cage door is in a closing state.

6. The cage transportation system safety early warning method according to claim 1, characterized in that: The determining whether a person has intruded according to the open / close state of the cage door and the person detection result includes: If the cage door is in a closed state and there is someone in the cage, it is determined that there is an intrusion behavior.

7. The cage transportation system safety early warning method according to claim 6, characterized in that: The method further comprises: If the cage door is in a closing state and a person outside the cage is about to enter, a real-time alarm is triggered.

8. A safety warning device for a cage transportation system, characterized in that: The cage transportation system safety warning device includes: An acquisition module is used to collect original images of the cage transportation system through a camera; An extraction module, configured to extract a cage door area image from the original image; a detection module, configured to determine an open / closed state of the cage door based on the cage door area image; The detection module is used to detect people inside and outside the cage based on the original image using a people detection algorithm; A discrimination module, configured to determine whether a person has intruded according to the open / close state of the cage door and the person detection result; The early warning module is used to trigger a real-time alarm if there is any intrusion.

9. A safety warning device for a cage transportation system, characterized in that: The tank cage transportation system safety warning device includes: a memory, a processor, and a tank cage transportation system safety warning program stored on the memory and executable on the processor. The tank cage transportation system safety warning program is configured to implement the steps of the tank cage transportation system safety warning method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a safety warning program for a tank cage transportation system, and when the safety warning program for the tank cage transportation system is executed by the processor, the steps of the safety warning method for the tank cage transportation system according to any one of claims 1 to 7 are implemented.

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