Intelligent safety monitoring method and system for mobile CT ambulance

Abstract

The invention provides an intelligent safety monitoring method and system for a mobile CT ambulance, and the method comprises the steps: obtaining the radiation level of an adjacent region outside the ambulance, calculating an initial warning range around an ambulance cabin according to the radiation level, and laying a corresponding warning device in the initial warning range; a panoramic video image of the periphery of the ambulance cabin returned by the safety monitoring module outside the ambulance when the mobile CT runs is obtained in real time, the video image is analyzed, and a temporary control area outside the ambulance when the mobile CT runs is identified and delimited according to the position of the warning device in the panoramic video image; and monitoring irrelevant personnel entering the monitoring range of the safety monitoring module outside the vehicle in real time when the mobile CT is operated, analyzing the behavior mode of the irrelevant personnel, judging whether the behavior mode of the irrelevant personnel has the risk of entering the temporary control area, and if so, giving an alarm. The personnel entering the monitoring range are identified and analyzed, and the personnel possibly entering the control area are pre-warned, so that the personnel are prevented from entering the control area by mistake.

Description

Technical Field

[0001] This invention relates to the field of medical information processing technology, specifically to an intelligent safety monitoring method and system for mobile CT ambulances. Background Technology

[0002] Mobile CT ambulances are crucial equipment for pre-hospital emergency care. The ambulance consists of a driver's cab and a patient compartment, with the mobile CT scanner inside. This mobile CT scanner generates ionizing radiation during scanning. Although the ambulance employs strong protective measures, the mobile CT scanner still emits some radiation outside the ambulance during operation. Therefore, when the mobile CT scanner is in operation, personnel unrelated to the treatment must not remain inside the patient compartment or near the ambulance; a strict safety control zone must be established. However, current monitoring of personnel outside mobile CT ambulances relies primarily on traditional warning signs and physical barriers, lacking real-time monitoring and early warning capabilities for surrounding personnel. It depends solely on the subjective initiative of individuals to enter the safety control zone, and even when personnel do enter, there is no timely warning to remove them. The risk of unauthorized entry cannot be monitored. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent safety monitoring method and system for mobile CT ambulances. By dividing a safe temporary control zone outside the mobile ambulance, the system monitors the temporary control zone in real time through an external safety monitoring module. It identifies and analyzes personnel entering the monitoring range and issues warnings to personnel who may enter the control zone, thus preventing unauthorized entry.

[0004] To solve the above-mentioned technical problems, the present invention adopts the following solution: On the one hand, this application provides an intelligent safety monitoring method for mobile CT ambulances, including: S1. When the safety conditions for mobile CT operation are met inside the ambulance, obtain the radiation level of the adjacent area outside the ambulance, calculate the initial warning range around the ambulance cabin based on the radiation level, and deploy corresponding warning devices within the initial warning range. S2. Real-time acquisition of panoramic video images of the ambulance cabin surrounding the mobile CT unit transmitted by the vehicle's external safety monitoring module during operation; analysis of the video images; identification and delineation of the temporary control zone outside the ambulance during mobile CT operation based on the position of the warning device in the panoramic video images. S3. Real-time monitoring of unauthorized personnel entering the monitoring range of the external safety monitoring module during the operation of the mobile CT, analysis of the behavior patterns of unauthorized personnel, determination of whether the behavior patterns of unauthorized personnel pose a risk of entering the temporary control area, and issuance of warning if so.

[0005] In some specific implementation schemes, the specific process of identifying and delineating the temporary control area in step S2 is as follows: S21. Input the panoramic video image into the pre-trained target detection model to identify each warning device in the panoramic video image and its position in the image; S22. Based on the position of the warning device in the panoramic video image, identify the relative side positions of the warning locations around the rescue cabin. S23. Determine whether there is one or more warning devices located on different sides of the rescue cabin. If so, calculate the boundary of the temporary control area based on the position of each warning device in the panoramic video image and delineate the temporary control area.

[0006] In some specific implementation schemes, the specific process of delineating the temporary control area in step S23 is as follows: When there is at least one warning device on each side of the ambulance cabin, the center of the warning device on each side is used as the anchor point, and a temporary control zone is divided according to the anchor points of the four side positions. When at least one warning device is present on at least one side of the ambulance cabin, the center of the warning device on the side is used as a reference point to calculate the warning distance from the reference point to the center point of the panoramic video image containing the four side positions of the ambulance cabin. The warning distance is used to infer the boundary position of the warning device on the other side, and then the temporary control zone is delineated.

[0007] In some specific implementation plans, the process of delineating a temporary control zone is as follows: When no warning device is detected in the panoramic video image, the area corresponding to the initial warning range is mapped onto the panoramic video image using the internal and external parameters of the safety monitoring module, thus obtaining the temporary control area corresponding to the binary mask.

[0008] In some specific implementation schemes, the temporary control zone includes a danger zone and an extended zone, wherein the danger zone is the area determined based on the initial warning range, and the extended zone is the area that extends the safety distance based on the initial warning range.

[0009] In some specific implementation schemes, the specific process of analyzing the behavioral patterns of personnel in step S3 is as follows: The system acquires real-time images transmitted from the vehicle's external safety monitoring module, tracks temporary control areas in the real-time images, and inputs real-time images marked with temporary control areas into the personnel recognition model to identify irrelevant personnel in the real-time images and their locations within the images. Identified unauthorized personnel are tracked using a target tracking algorithm. Their movement trajectories and behavioral characteristics are analyzed to obtain their behavioral patterns.

[0010] In some specific implementation plans, the process of obtaining the behavioral patterns of unrelated personnel is as follows: Based on the real-time position of unrelated personnel in the real-time images, the movement trajectory of the unrelated personnel can be inferred. Identify the trajectory curvature characteristics and direction of movement of unrelated individuals based on their motion trajectories; (Bystanders) When an unrelated person moves toward the boundary of the temporary control area and their trajectory curvature is a straight line, their behavior pattern is direct approach. When an unrelated person moves in a direction that loiters around the boundary of the temporary control area and their trajectory curvature is a curve, then the behavior pattern of that unrelated person is that of a passerby.

[0011] In some specific implementation schemes, the process of determining whether the person's behavior pattern poses a risk of entering the temporary control area in step S3 is as follows: When the behavior pattern of an unrelated person is direct approach, predict the unrelated person's movement route and mark the unrelated person as a key person to pay attention to. When the distance between the real-time location of the unrelated person and the temporary control area is less than a preset threshold, it is determined that the unrelated person is at risk of entering the temporary control area and an alert is issued. When the behavior pattern of an unrelated person is "passing by", it is only necessary to calculate the distance between the unrelated person's real-time location and the temporary control zone. As long as the unrelated person does not enter the temporary control zone, it is determined that there is no risk of the unrelated person entering the temporary control zone.

[0012] Secondly, this application provides an intelligent safety monitoring system for a mobile CT ambulance, comprising: The initialization module is used to obtain the radiation level of the adjacent area outside the ambulance when the safety conditions for mobile CT operation are met inside the ambulance, calculate the initial warning range around the ambulance cabin based on the radiation level, and deploy corresponding warning devices within the initial warning range. The safety monitoring and partitioning module is used to acquire panoramic video images of the ambulance cabin surrounding the mobile CT unit in real time, transmitted from the external safety monitoring module during mobile CT operation. The video images are analyzed, and the temporary control zone outside the ambulance during mobile CT operation is identified and delineated based on the position of the warning device in the panoramic video image. The safety analysis module is used to monitor in real time any unauthorized personnel entering the monitoring range of the external safety monitoring module while the mobile CT is running. It analyzes the behavior patterns of these unauthorized personnel to determine whether their behavior patterns pose a risk of entering the temporary control area, and if so, issues an alert.

[0013] The beneficial effects of this invention are: This invention provides a method and system for intelligent safety monitoring of mobile CT ambulances. The system determines the range of a temporary control zone by measuring the radiation level inside the ambulance's ambulance compartment. It also analyzes panoramic video images of the ambulance to intelligently identify the boundaries of the temporary control zone, monitor personnel entering the ambulance's monitoring range, predict the risk of personnel entering the temporary control zone, and implement tiered early warnings to prevent personnel from accidentally entering the zone. Attached Figure Description

[0014] Figure 1 This is a flowchart of the intelligent safety monitoring method for mobile CT ambulances provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the temporary control area setup provided in an embodiment of the present invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the present invention or its application or use. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of the invention.

[0017] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0018] Furthermore, for clarity and brevity, descriptions of well-known structures, functions, and configurations may have been omitted. Those skilled in the art will recognize that various changes and modifications can be made to the examples described herein without departing from the spirit and scope of this disclosure.

[0019] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0020] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0021] The present invention will now be described in detail with reference to the accompanying drawings and embodiments: Example 1 like Figure 1 As shown, this embodiment provides an intelligent safety monitoring method for mobile CT ambulances, including: S1. When the safety conditions for mobile CT operation are met inside the ambulance, obtain the radiation level of the adjacent area outside the ambulance, calculate the initial warning range around the ambulance cabin based on the radiation level, and deploy corresponding warning devices within the initial warning range. When a mobile CT scanner needs to be activated, a safety verification of the ambulance cabin is required. The following conditions must be met for mobile CT scanning: the cabin door is locked with no radiation leakage; only a patient wearing a lead apron is inside the cabin; and the patient is lying quietly and stably on the mobile CT scanner. To verify whether the ambulance meets the safety conditions for mobile CT operation, the radiation level and the safety status of the personnel inside the ambulance need to be monitored. The monitoring method can be as follows: Multiple radiation dose sensors are placed inside the ambulance door, around the mobile CT scanner gantry, at the ambulance ventilation openings, and in the adjacent area outside the vehicle to acquire radiation doses at multiple locations within the ambulance. The radiation doses at these locations are analyzed separately, and the average and peak doses are calculated in real time and compared with preset thresholds to obtain the radiation level at each location. When the radiation dose rate at any location exceeds the preset threshold, the mobile CT scanner stops operating. The detection of personnel safety status involves using video surveillance equipment inside the ambulance, including panoramic cameras, close-up cameras of the scanning area, cameras of the operating area, and cameras of the door area; real-time counting of the number of people in the ambulance cabin, identification of personnel, and tracking of personnel movement trajectories; verification of personnel location safety, inspection of protective equipment wearing, and detection of abnormal behavior patterns.

[0022] When the safety conditions for mobile CT operation are met inside the ambulance, the mobile CT scanner begins operation. It is necessary to screen people outside the vehicle to prevent them from approaching the ambulance while the mobile CT is running. The initial warning range is calculated based on the radiation level detected by the radiation dose sensors outside the vehicle. This initial warning range is a defined area centered on the ambulance cabin where the mobile CT scanner is located. It can be determined based on the radiation dose rate, for example, an area at a certain distance from the cabin (e.g., 3 meters). This area can also be marked using warning devices (such as cones, warning lines, etc.).

[0023] S2. Real-time acquisition of panoramic video images of the ambulance cabin surrounding the mobile CT unit transmitted by the vehicle's external safety monitoring module during operation; analysis of the video images; identification and delineation of the temporary control zone outside the ambulance during mobile CT operation based on the position of the warning device in the panoramic video images. The external safety monitoring module can use an existing panoramic camera. This panoramic camera is installed on the roof of the ambulance and can capture images of the surrounding environment of the vehicle. The panoramic camera used in this implementation is a vehicle auxiliary device that achieves wide-angle monitoring through the collaboration of multiple cameras. It generates a roof-view perspective through image acquisition, distortion correction and perspective conversion technology, which can display images of the vehicle's surroundings. The four cameras respectively acquire real-time images of the surroundings, and after image stitching and coordinate transformation by the vehicle's computer, a 360-degree seamless panoramic top view is formed.

[0024] The specific process of identifying and delineating the temporary control area in step S2 is as follows: S21. Input the panoramic video image into the pre-trained target detection model to identify each warning device in the panoramic video image and its position in the image; S22. Based on the position of the warning device in the panoramic video image, identify the relative side positions of the warning locations around the rescue cabin. S23. Determine whether there is one or more warning devices located on different sides of the rescue cabin. If so, calculate the boundary of the temporary control area based on the position of each warning device in the panoramic video image and delineate the temporary control area.

[0025] In step S23, the specific process of dividing the temporary control area is as follows: When there is at least one warning device on each side of the ambulance cabin, the center of the warning device on each side is used as the anchor point, and a temporary control zone is divided according to the anchor points of the four side positions. When at least one warning device is present on at least one side of the ambulance cabin, the center of the warning device on the side is used as a reference point to calculate the warning distance from the reference point to the center point of the panoramic video image containing the four side positions of the ambulance cabin. The warning distance is used to infer the boundary position of the warning device on the other side, and then the temporary control zone is delineated.

[0026] The specific process of delineating the temporary control zone is as follows: When no warning device is detected in the panoramic video image, the area corresponding to the initial warning range is mapped onto the panoramic video image using the internal and external parameters of the safety monitoring module, thus obtaining the temporary control area corresponding to the binary mask.

[0027] When warning devices are installed around an ambulance, the temporary control zone can be easily delineated from the panoramic video image. However, sometimes only a single warning sign is placed around the ambulance, making it difficult to determine the boundary of the temporary control zone, or the warning sign may be too far away to be monitored by the external safety monitoring module, making it impossible to determine the complete boundary of the temporary control zone. Generally, radiation radiates outwards from the ambulance. Therefore, when delineating the temporary control zone, if warning devices are placed around the ambulance, it is only necessary to identify the warning devices in the image and use the center position of the warning device as the boundary anchor point. A region can be fitted based on each anchor point; this region can be rectangular or circular. When there are sides around the ambulance without warning devices, the boundary position of these sides cannot be determined during the fitting process. As mentioned above, the radiation range is circumferential. Therefore, warning devices are generally placed at equal intervals around the ambulance compartment. Knowing the distance of one warning device from the image center allows the deduction of the boundary positions of the other sides, thus defining the temporary control zone. When there is no warning device, pre-calibration is used. Since the internal and external parameters of the surveillance camera can be obtained after its installation, the temporary control area in the real world can be mapped onto the image coordinates to form a mask. This mask is the temporary control area on the image.

[0028] To improve reaction time, such as Figure 2 As shown, the temporary control zone can be divided into a danger zone and an extended zone. The danger zone is the area determined based on the initial warning range, while the extended zone is the area where the safety distance is extended beyond the initial warning range.

[0029] S3. Real-time monitoring of unauthorized personnel entering the monitoring range of the external safety monitoring module during the operation of the mobile CT, analysis of the behavior patterns of unauthorized personnel, determination of whether the behavior patterns of unauthorized personnel pose a risk of entering the temporary control area, and issuance of warning if so.

[0030] The specific process of analyzing the behavioral patterns of personnel in step S3 is as follows: The system acquires real-time images transmitted from the vehicle's external safety monitoring module, tracks temporary control areas in the real-time images, and inputs real-time images marked with temporary control areas into the personnel recognition model to identify irrelevant personnel in the real-time images and their locations within the images. Identified unauthorized personnel are tracked using a target tracking algorithm. Their movement trajectories and behavioral characteristics are analyzed to obtain their behavioral patterns.

[0031] The specific process of obtaining the behavioral patterns of unrelated individuals is as follows: Based on the real-time position of unrelated personnel in the real-time images, the movement trajectory of the unrelated personnel can be inferred. Identify the trajectory curvature characteristics and direction of movement of unrelated individuals based on their motion trajectories; When an unrelated person moves toward the boundary of the temporary control area and their trajectory curvature is a straight line, the unrelated person may be a bystander, and their behavior pattern is direct approach. When an unrelated person moves in a direction that loiters around the boundary of the temporary control area and their trajectory curvature is curved, the unrelated person may simply be passing by the ambulance, and their behavior pattern is that of a passerby.

[0032] In some specific implementation schemes, the process of determining whether the person's behavior pattern poses a risk of entering the temporary control area in step S3 is as follows: When the behavior pattern of an unrelated person is direct approach, predict the movement route of the unrelated person and mark the unrelated person as a key focus. When the real-time location of the unrelated person is less than the distance between the temporary control area and the preset threshold, it can be understood that the boundary between the person and the danger zone is less than the safe distance and has crossed the extended area. The person is very likely to enter the danger zone. Therefore, it is judged that the unrelated person is at risk of entering the temporary control area and a warning is issued. When the behavior pattern of unrelated personnel is passerby, it is only necessary to calculate the distance between the real-time location of the unrelated personnel and the temporary control area. That is, if the unrelated personnel are just walking in the extended area and their movement direction is not towards the temporary control area or they are pacing back and forth in the temporary control area, then as long as the unrelated personnel have not entered the temporary control area, it is determined that there is no risk of the unrelated personnel entering the temporary control area.

[0033] Example 2 This embodiment provides an intelligent safety monitoring system for mobile CT ambulances, including: The initialization module is used to obtain the radiation level of the adjacent area outside the ambulance when the safety conditions for mobile CT operation are met inside the ambulance, calculate the initial warning range around the ambulance cabin based on the radiation level, and deploy corresponding warning devices within the initial warning range. The safety monitoring and partitioning module is used to acquire panoramic video images of the ambulance cabin surrounding the mobile CT unit in real time, transmitted from the external safety monitoring module during mobile CT operation. The video images are analyzed, and the temporary control zone outside the ambulance during mobile CT operation is identified and delineated based on the position of the warning device in the panoramic video image. The safety analysis module is used to monitor in real time any unauthorized personnel entering the monitoring range of the external safety monitoring module while the mobile CT is running. It analyzes the behavior patterns of these unauthorized personnel to determine whether their behavior patterns pose a risk of entering the temporary control area, and if so, issues an alert.

[0034] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Based on the technical essence of the present invention, any simple modifications, equivalent substitutions, and improvements made to the above embodiments within the spirit and principles of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A method for intelligent safety monitoring of a mobile CT ambulance, characterized in that, include: S1. When the safety conditions for mobile CT operation are met inside the ambulance, obtain the radiation level of the adjacent area outside the ambulance, calculate the initial warning range around the ambulance cabin based on the radiation level, and deploy corresponding warning devices within the initial warning range. S2. Real-time acquisition of panoramic video images of the ambulance cabin surrounding the mobile CT unit transmitted by the vehicle's external safety monitoring module during operation; analysis of the video images; identification and delineation of the temporary control zone outside the ambulance during mobile CT operation based on the position of the warning device in the panoramic video images. S3. Real-time monitoring of unauthorized personnel entering the monitoring range of the external safety monitoring module during the operation of the mobile CT, analysis of the behavior patterns of unauthorized personnel, determination of whether the behavior patterns of unauthorized personnel pose a risk of entering the temporary control area, and issuance of warning if so.

2. The intelligent safety monitoring method for a mobile CT ambulance according to claim 1, characterized in that, The specific process of identifying and delineating the temporary control area in step S2 is as follows: S21. Input the panoramic video image into the pre-trained target detection model to identify each warning device in the panoramic video image and its position in the image; S22. Based on the position of the warning device in the panoramic video image, identify the relative side positions of the warning locations around the rescue cabin. S23. Determine whether there is one or more warning devices located on different sides of the rescue cabin. If so, calculate the boundary of the temporary control area based on the position of each warning device in the panoramic video image and delineate the temporary control area.

3. The intelligent safety monitoring method for a mobile CT ambulance according to claim 2, characterized in that, In step S23, the specific process of dividing the temporary control area is as follows: When there is at least one warning device on each side of the ambulance cabin, the center of the warning device on each side is used as the anchor point, and a temporary control zone is divided according to the anchor points of the four side positions. When at least one warning device is present on at least one side of the ambulance cabin, the center of the warning device on the side is used as a reference point to calculate the warning distance from the reference point to the center point of the panoramic video image containing the four side positions of the ambulance cabin. The warning distance is used to infer the boundary position of the warning device on the other side, and then the temporary control zone is delineated.

4. The intelligent safety monitoring method for a mobile CT ambulance according to claim 2, characterized in that, The specific process of delineating the temporary control zone is as follows: When no warning device is detected in the panoramic video image, the area corresponding to the initial warning range is mapped onto the panoramic video image using the internal and external parameters of the safety monitoring module, thus obtaining the temporary control area corresponding to the binary mask.

5. The intelligent safety monitoring method for a mobile CT ambulance according to claim 1, characterized in that, The temporary control zone includes a danger zone and an extension zone. The danger zone is the area determined based on the initial warning range, and the extension zone is the area where the safety distance is extended beyond the initial warning range.

6. The intelligent safety monitoring method for a mobile CT ambulance according to claim 1, characterized in that, The specific process of analyzing the behavioral patterns of personnel in step S3 is as follows: The system acquires real-time images transmitted from the vehicle's external safety monitoring module, tracks temporary control areas in the real-time images, and inputs real-time images marked with temporary control areas into the personnel recognition model to identify irrelevant personnel in the real-time images and their locations within the images. Identified unauthorized personnel are tracked using a target tracking algorithm. Their movement trajectories and behavioral characteristics are analyzed to obtain their behavioral patterns.

7. The intelligent safety monitoring method for a mobile CT ambulance according to claim 6, characterized in that, The specific process of obtaining the behavioral patterns of unrelated individuals is as follows: Based on the real-time position of unrelated personnel in the real-time images, the movement trajectory of the unrelated personnel can be inferred. Identify the trajectory curvature characteristics and direction of movement of unrelated individuals based on their motion trajectories; When an unrelated person moves towards the boundary of the temporary control area and their trajectory curvature is a straight line, then the behavior pattern of that unrelated person is direct approach. When an unrelated person moves in a direction that loiters around the boundary of the temporary control area and their trajectory curvature is a curve, then the behavior pattern of that unrelated person is that of a passerby.

8. The intelligent safety monitoring method for a mobile CT ambulance according to claim 7, characterized in that, The specific process for determining whether the person's behavior pattern poses a risk of entering the temporary control area in step S3 is as follows: When the behavior pattern of an unrelated person is direct approach, predict the movement route of the unrelated person and mark the unrelated person as a key focus. When the distance between the real-time location of the unrelated person and the temporary control area is less than a preset threshold, it is determined that the unrelated person is at risk of entering the temporary control area and an alert is issued. When the behavior pattern of an unrelated person is "passing by", it is only necessary to calculate the distance between the unrelated person's real-time location and the temporary control zone. As long as the unrelated person does not enter the temporary control zone, it is determined that there is no risk of the unrelated person entering the temporary control zone.

9. A mobile CT ambulance intelligent safety monitoring system, characterized in that, include: The initialization module is used to obtain the radiation level of the adjacent area outside the ambulance when the safety conditions for mobile CT operation are met inside the ambulance, calculate the initial warning range around the ambulance cabin based on the radiation level, and deploy corresponding warning devices within the initial warning range. The safety monitoring and partitioning module is used to acquire panoramic video images of the ambulance cabin surrounding the mobile CT unit in real time, transmitted from the external safety monitoring module during mobile CT operation. The video images are analyzed, and the temporary control zone outside the ambulance during mobile CT operation is identified and delineated based on the position of the warning device in the panoramic video image. The safety analysis module is used to monitor in real time any unauthorized personnel entering the monitoring range of the external safety monitoring module while the mobile CT is running. It analyzes the behavior patterns of these unauthorized personnel to determine whether their behavior patterns pose a risk of entering the temporary control area, and if so, issues an alert.

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