A close-range alarm system and method based on a mobile magnetic resonance system

Abstract

The application provides a mobile magnetic resonance system-based close-range alarm system and method, wherein the system comprises: a first acquisition module, which is used for acquiring the device position and influence distance of a mobile magnetic resonance device in operation; a determination module, which is used for determining a first area influenced by the mobile magnetic resonance device based on preset drawing rules and according to the device position and influence distance; a second acquisition module, which is used for acquiring a first image in the first area; a judgment module, which is used for determining a reminding target according to the first image; and a first reminding module, which is used for reminding the reminding target correspondingly. The mobile magnetic resonance system-based close-range alarm system and method are more reasonable in determining the first area that needs to be monitored according to the device position and influence distance of the mobile magnetic resonance device; the reminding target is determined directly based on the first image in the first area to perform corresponding reminding, which is more intelligent and improves the timeliness of the reminding.

Description

Technical Field

[0001] This invention relates to the field of magnetic resonance technology, and in particular to a near-field alarm system and method based on a mobile magnetic resonance system. Background Technology

[0002] Currently, mobile MRI machines are widely used in emergency medical and health scenarios [e.g., in outdoor settings where injured patients require MRI imaging scans]. However, during use, the leakage magnetic field of the MRI device can affect surrounding personnel and precision instruments. Therefore, it is necessary to alert people and equipment that are nearby. Existing mobile MRI machines typically lack leakage magnetic field alarm functions during movement and only have simple mechanical alarm devices in place. These devices cannot accurately determine the areas requiring alerts and are not intelligent enough. Furthermore, the timeliness of alerts is low when staff are negligent.

[0003] Therefore, a solution is urgently needed. Summary of the Invention

[0004] This invention provides a near-field alarm system and method based on a mobile magnetic resonance imaging (MRI) system. It introduces rendering rules to determine the first area to be monitored based on the device location and influence distance of the mobile MRI equipment, which is more reasonable. Based on the first image within the first area, the system directly determines the warning target and issues a corresponding warning, which is more intelligent and improves the timeliness of the warning.

[0005] This invention provides a proximity alarm system based on a mobile magnetic resonance system, comprising:

[0006] The first acquisition module is used to acquire the device location and influence distance of the mobile magnetic resonance imaging equipment;

[0007] The determination module is used to determine the first region affected by the mobile magnetic resonance device based on preset drawing rules, the device location, and the influence distance.

[0008] The second acquisition module is used to acquire the first image within the first region;

[0009] The judgment module is used to determine whether there is a person in the first area based on the first image; if so, it determines the target for alerting.

[0010] The first reminder module is used to provide corresponding reminders to the target.

[0011] Preferably, the second acquisition module performs the following operations:

[0012] Obtain a preset distribution map of image acquisition devices within the first area, and determine at least one first image acquisition device from the image acquisition device distribution map;

[0013] Acquire the first image captured by the first image acquisition device;

[0014] And / or,

[0015] The first image is acquired by a second image acquisition device pre-set on a mobile magnetic resonance imaging device.

[0016] Preferably, acquiring the first image acquired by the first image acquisition device includes:

[0017] Obtain a region map of the first region, determine the first position of the first image acquisition device and the first boundary line of the first region from the region map, and determine whether the first position is on the first boundary line;

[0018] If so, the corresponding first image acquisition device shall be used as the third image acquisition device;

[0019] Acquire the shooting mode of the third image acquisition device;

[0020] When the shooting mode is fixed angle shooting, the corresponding third image acquisition device is used as the fourth image acquisition device, and the fifth image acquisition device that cannot capture the first area is determined among the fourth image acquisition devices.

[0021] The fifth image acquisition device in the first image acquisition device is removed, and the third image captured by the remaining first image acquisition device is obtained and used as the first image.

[0022] Preferably, the determination module performs the following operations:

[0023] Based on a preset feature extraction template, feature extraction is performed on the first image to obtain multiple first image features;

[0024] Match the first image features with human features in a preset human feature database to obtain a matching value;

[0025] Accumulate the matching values ​​to obtain the sum of the matching values;

[0026] If the sum of the matching values ​​is greater than or equal to the preset first threshold, then there is a person in the first area, and at least one person to be identified is determined.

[0027] Determine whether the person to be identified is a staff member; if not, set the corresponding person to be identified as the target of the alert.

[0028] Preferably, the alarm module performs the following operations:

[0029] Based on the first image, determine the second location of the alert target within the first area;

[0030] Obtain a preset reminder car distribution map, determine the reminder car closest to the second position from the reminder car distribution map, and control the reminder car to move to the second position;

[0031] Once the reminder vehicle reaches the second location, it will provide a corresponding reminder to the target person based on preset reminder rules.

[0032] The third location corresponding to the reminder target is obtained in real time after the reminder is issued;

[0033] The reminder is completed when the third location is no longer within the first area.

[0034] Preferably, the proximity alarm system based on a mobile magnetic resonance system further includes:

[0035] The second reminder module is used to determine whether the target of the reminder has the intention to leave after the reminder is completed. If not, a corresponding manual reminder is given.

[0036] The reminder module includes:

[0037] Calculate the departure intention index corresponding to the aforementioned target;

[0038] If the departure intention index is less than or equal to a preset second threshold, obtain the fourth location corresponding to the reminder target;

[0039] The dispatcher will go to the fourth location to issue a reminder.

[0040] Preferably, the calculation of the departure intention index corresponding to the reminder target includes:

[0041] Calculate the first departure intention value corresponding to the reminder target within the preset time period, and at the same time, calculate the corresponding second departure intention value;

[0042] The first departure intention value and the second departure intention value are summed to obtain the departure intention index corresponding to the reminder target.

[0043] Preferably, the calculation of the first departure intention value corresponding to the reminder target within the preset time period includes:

[0044] Obtain the fourth position and line of sight of the target within the time period after receiving the reminder;

[0045] Based on the fourth position, construct the first vector according to the direction of the line of sight;

[0046] Obtain the second boundary line of the first region, and determine the fifth position closest to the fourth position from the second boundary line;

[0047] Based on the fifth and fourth positions, determine the positional orientation of the fifth position relative to the fourth position;

[0048] Based on the fourth position, construct the second vector according to the position direction;

[0049] Calculate the cosine of the angle between the first vector and the second vector;

[0050] The cosine values ​​are accumulated to obtain the first departure intention value.

[0051] Preferably, the calculation of the corresponding second departure intention value includes:

[0052] Based on preset segmentation rules, the time period is divided into multiple time intervals;

[0053] Obtain the start time and end time of the time interval;

[0054] Obtain the seventh position of the start time and the eighth position of the end time;

[0055] Calculate the distance between the eighth position and the seventh position;

[0056] Obtain the time length of the time interval corresponding to the distance;

[0057] Calculate the ratio of the distance to the corresponding time length;

[0058] Assign weight coefficients to the time intervals corresponding to the ratios to obtain the weighted ratios;

[0059] The weighted ratios are summed to obtain the second departure intention value.

[0060] This invention provides a near-field alarm method based on a mobile magnetic resonance system, comprising:

[0061] Step 1: Obtain the location and influence distance of the mobile MRI equipment in operation;

[0062] Step 2: Based on preset drawing rules, determine the first region affected by the mobile magnetic resonance imaging device according to the device location and influence distance;

[0063] Step 3: Obtain the first image within the first region;

[0064] Step 4: Based on the first image, determine whether there is a person in the first area; if so, identify the target for alerting.

[0065] Step 5: Provide the appropriate reminder to the target.

[0066] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0067] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0068] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0069] Figure 1 This is a schematic diagram of a near-field alarm system based on a mobile magnetic resonance system, as described in an embodiment of the present invention.

[0070] Figure 2 This is a schematic diagram illustrating the process of alerting the target to leave the first area in an embodiment of the present invention;

[0071] Figure 3 This is a flowchart of a near-field alarm method based on a mobile magnetic resonance system in an embodiment of the present invention. Detailed Implementation

[0072] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0073] This invention provides a proximity alarm system based on a mobile magnetic resonance system, such as... Figure 1 As shown, it includes:

[0074] The first acquisition module 1 is used to acquire the device position and influence distance of a mobile magnetic resonance imaging device that is in operation.

[0075] Module 2 is used to determine the first region affected by the mobile magnetic resonance device based on preset drawing rules, the device location, and the influence distance.

[0076] The second acquisition module 3 is used to acquire the first image within the first region;

[0077] Module 4 is used to determine whether there is a person in the first area based on the first image; if so, it determines the target to be alerted.

[0078] The first reminder module 5 is used to provide corresponding reminders to the reminder target.

[0079] The working principle and beneficial effects of the above technical solution are as follows:

[0080] The equipment location refers to the position of the mobile MRI scanner in operation, obtained through its built-in GPS positioning device. The influence distance is [e.g., 20m], determined by the characteristics of the magnets inside the scanner. The internal magnets of the mobile MRI scanner generate magnetic field leakage, or leakage magnetic field. The industry sets a limit of 5 Gauss; magnetic fields exceeding this may have adverse effects on certain individuals and the equipment, requiring warning. The distribution of the leakage magnetic field around the magnet can be measured in advance, and once the magnet is constructed, this distribution remains unchanged. The preset drawing rule is: draw a circle with the equipment location as the center and the influence distance as the radius. Based on this rule, and according to the equipment location and influence distance, determine the first area affected by the mobile MRI scanner during operation. The first area is the influence area of ​​the mobile MRI scanner [e.g., marked on the ground with a laser to indicate the location of the 5 Gauss magnetic field]. The first image is an image captured within the first area. Based on the first image, facial recognition technology is used to determine whether there are people in the first area. Facial recognition technology is existing technology and will not be elaborated upon. If there are people in the first area, excluding on-site staff, the target to be alerted is identified [e.g., pedestrians who approached out of curiosity or were accidentally bumped into]. An alert is then issued to the target [e.g., a warning is sent to the target: "The MRI equipment will generate a leakage magnetic field, which may affect your health. Please stay away immediately"].

[0081] This application introduces preset drawing rules to determine the first area to be monitored based on the location and influence distance of the mobile magnetic resonance device, which is more reasonable; based on the first image in the first area, the alert target is directly determined and the corresponding alert is issued, which is more intelligent and improves the timeliness of the alert.

[0082] This invention provides a near-field alarm system based on a mobile magnetic resonance system. The second acquisition module 3 performs the following operations:

[0083] Obtain a preset distribution map of image acquisition devices within the first area, and determine at least one first image acquisition device from the image acquisition device distribution map;

[0084] Acquire the first image captured by the first image acquisition device;

[0085] And / or,

[0086] The first image is acquired by a second image acquisition device pre-set on a mobile magnetic resonance imaging device.

[0087] The working principle and beneficial effects of the above technical solution are as follows:

[0088] There are two ways to acquire the first image within the first area: First, acquire a pre-defined distribution map of image acquisition devices within the first area. This map is a distribution map of camera devices within the first area, from which at least one first image acquisition device is identified (e.g., a surveillance camera installed within the first area). The first image acquired by this first image acquisition device is then acquired (e.g., an image captured by a surveillance camera). Second, acquire the first image acquired by a pre-defined second image acquisition device on a mobile MRI machine. This second image acquisition device is a multi-angle small camera device, pre-installed on the mobile MRI machine by personnel.

[0089] This application introduces two methods to acquire the first image, thereby improving the comprehensiveness of the first image acquisition.

[0090] This invention provides a proximity alarm system based on a mobile magnetic resonance imaging system, which acquires the first image captured by the first image acquisition device, including:

[0091] Obtain a region map of the first region, determine the first position of the first image acquisition device and the first boundary line of the first region from the region map, and determine whether the first position is on the first boundary line;

[0092] If so, the corresponding first image acquisition device shall be used as the third image acquisition device;

[0093] Acquire the shooting mode of the third image acquisition device;

[0094] When the shooting mode is fixed angle shooting, the corresponding third image acquisition device is used as the fourth image acquisition device, and the fifth image acquisition device that cannot capture the first area is determined among the fourth image acquisition devices.

[0095] The fifth image acquisition device in the first image acquisition device is removed, and the third image captured by the remaining first image acquisition device is obtained and used as the first image.

[0096] Among them, the fifth image acquisition device that cannot capture the first area in the fourth image acquisition device includes:

[0097] Obtain the shooting direction of the fourth image acquisition device;

[0098] Based on the shooting direction and the first position corresponding to the fourth image acquisition device, a fifth image acquisition device is determined that cannot capture the first area among the fourth image acquisition devices.

[0099] The working principle and beneficial effects of the above technical solution are as follows:

[0100] The regional map specifically includes: a topographic distribution map of the first region, determining the first location of the first image acquisition device and the first boundary line of the first region; the first boundary line is the outer contour line of the first region, determining whether the first location is on the first boundary line. If the first location is on the first boundary line, the corresponding first image acquisition device is designated as the third image acquisition device. The shooting modes of the third image acquisition device include: fixed-angle shooting and rotating-angle shooting; fixed angle means the shooting angle of the third image acquisition device is fixed; rotating-angle shooting means the shooting angle of the third image acquisition device can be rotated. If the shooting angle of the third image acquisition device is fixed, the shooting direction of the corresponding fourth image acquisition device is obtained; the shooting direction is: the orientation of the camera of the fourth image acquisition device. Based on the shooting direction and the first location corresponding to the fourth image acquisition device, a fifth image acquisition device that cannot capture the first region is determined; when determining the fifth image acquisition device, a ray is drawn with the first location corresponding to the fourth image acquisition device as the origin and the shooting direction as the ray direction, determining whether the above ray intersects with the first region. If there is no intersection, the corresponding fourth image acquisition device is designated as the fifth image acquisition device. After removing the fifth image acquisition device from the first image acquisition device, the third image captured by the remaining first image acquisition device is used as the first image.

[0101] This application identifies a third image acquisition device on the first boundary line, and based on the shooting angle of the third image acquisition device, identifies a fourth image acquisition device that has not captured an image of the first region. The fourth image acquisition device is then removed from the first image acquisition devices, and the first image captured by the remaining first image acquisition devices is acquired, thereby improving the acquisition efficiency of the first image.

[0102] This invention provides a proximity alarm system based on a mobile magnetic resonance system, and further includes:

[0103] The processing module is used to preprocess the area map before determining the first location of the first image acquisition device and the first boundary line of the first area from the area map;

[0104] The processing module includes:

[0105] Based on the Sobel operator method, the gradient of the region map in a preset direction is calculated;

[0106] The region map is preprocessed based on the gradient.

[0107] The working principle and beneficial effects of the above technical solution are as follows:

[0108] Because the acquired regional map images are rich in color and contain a lot of information, it is difficult to identify the first boundary line of the first region in the regional map. Therefore, image preprocessing is required.

[0109] Based on the Sobel operator, the gradient of the region map in a preset direction is calculated. The Sobel operator is a discrete differential operator for edge detection, combining Gaussian smoothing and differential calculation. The Sobel operator is used to calculate an approximate value of the brightness of an image. Points in the region exceeding a certain value are marked as edges based on the brightness of the area next to the image edges. The preset directions are the x and y directions. The formula for calculating the gradient is as follows:

[0110]

[0111]

[0112]

[0113]

[0114] Among them, g x Let g be the gradient in the x-direction. y Let be the gradient in the y-direction, d… be the derivative with respect to…, f(x,y) be the gray value of image point (x,y), f(x+1,y) be the gray value of image point (x,y) shifted one unit to the left in the x-direction, and f(x,y+1) be the gray value of image point (x,y) shifted one unit to the left in the y-direction. Based on the calculated gradient values, the region map is preprocessed [e.g., image points with high gradients have their image colors deepened].

[0115] This application introduces the Sobel operator method to calculate the gradient in the x-direction and the gradient in the y-direction respectively. Based on the gradient, the region map is processed, which can more intuitively determine the first boundary line and improve the accuracy of the determined first boundary line.

[0116] This invention provides a near-field alarm system based on a mobile magnetic resonance system, wherein the judgment module 4 performs the following operations:

[0117] Based on a preset feature extraction template, feature extraction is performed on the first image to obtain multiple first image features;

[0118] Match the first image features with human features in a preset human feature database to obtain a matching value;

[0119] Accumulate the matching values ​​to obtain the sum of the matching values;

[0120] If the sum of the matching values ​​is greater than or equal to the preset first threshold, then there is a person in the first area, and at least one person to be identified is determined.

[0121] Determine whether the person to be identified is a staff member; if not, set the corresponding person to be identified as the target of the alert.

[0122] The working principle and beneficial effects of the above technical solution are as follows:

[0123] A preset feature extraction template is introduced to extract features from the first image, obtaining multiple first image features (e.g., image grayscale values, image color values, etc.). The preset feature extraction template is a pre-defined feature extraction template adapted to extract these conditional feature values. The first image features are matched with any human feature in a preset human feature library to obtain a matching value (e.g., 90). The preset human feature library includes multiple human features representing the human body. Specifically, the human features are those obtained by feature extraction from the human image using the same method described above. If the calculated matching value is greater than or equal to a preset first threshold (e.g., 350), it is determined that there is a person in the first region.

[0124] Generally, there are staff operating the mobile MRI machine nearby. Blindly identifying someone in the first area and issuing an alert is unreasonable. Therefore, it's necessary to determine if the person to be identified is a staff member. The method is as follows: Based on the first image, obtain the face ID of the person to be identified. This can be obtained using facial recognition technology, which is existing technology and will not be elaborated upon. The preset staff face ID database specifically includes: pre-entered staff face IDs. Match the face ID of the person to be identified with the staff face IDs in the database. If no match is found, the person to be identified is not a staff member, and the corresponding person will be the target for alerting.

[0125] This application introduces a feature extraction template to extract the first image features of the first image, and matches the first image features with human features in a preset human feature library to determine whether there is a person in the first area, thereby improving the rationality of the judgment; when it is determined that there is a person in the first area, face recognition is performed, and the reminder target is determined based on the face recognition result, thereby further improving the accuracy of reminder target acquisition.

[0126] This invention provides a near-field alarm system based on a mobile magnetic resonance system. The first alert module 5 performs the following operations:

[0127] Based on the first image, determine the second location of the alert target within the first area;

[0128] Obtain a preset reminder car distribution map, determine the reminder car closest to the second position from the reminder car distribution map, and control the reminder car to move to the second position;

[0129] Once the reminder vehicle reaches the second location, it will provide a corresponding reminder to the target person based on preset reminder rules.

[0130] The third location corresponding to the reminder target is obtained in real time after the reminder is issued;

[0131] The reminder is completed when the third location is no longer within the first area.

[0132] The working principle and beneficial effects of the above technical solution are as follows:

[0133] The second location of the target in the first image can be obtained using a distance sensor on a mobile magnetic resonance imaging (MRI) device. A preset distribution map of the reminder carts displays the dynamic distribution of their positions in real time. The reminder cart closest to the second location is determined from this distribution map, and the reminder cart is then controlled to move to the second location.

[0134] After the reminder vehicle reaches the second position, it reminds the target based on preset reminder rules [e.g., displaying reminder information through a pre-set display device on the reminder vehicle and / or playing reminder voice through a speaker on the reminder vehicle]. Based on the distance sensor, it acquires the third position of the target after the reminder is given. The reminder is completed when the target is detected to be outside the first area.

[0135] This application introduces a reminder car distribution map, which determines the reminder car closest to the reminder target and reminds the target until the target leaves the first area, thus improving the efficiency of reminders.

[0136] This invention provides a near-field alert system based on a mobile magnetic resonance imaging system, and further includes:

[0137] The second reminder module is used to determine whether the target of the reminder has the intention to leave after the reminder is completed. If not, a manual reminder is given.

[0138] The reminder module includes:

[0139] Calculate the departure intention index corresponding to the aforementioned target;

[0140] If the departure intention index is less than or equal to a preset second threshold, obtain the fourth location corresponding to the reminder target;

[0141] The dispatcher will go to the fourth location to issue a reminder.

[0142] The working principle and beneficial effects of the above technical solution are as follows:

[0143] After the reminder car completes the first reminder, the target has a low willingness to leave, ignores or disregards the reminder car's reminder, and frequent reminders via the reminder car are ineffective and energy-intensive. Therefore, it is urgent to solve this problem.

[0144] Calculate the target's willingness to leave index. The higher the willingness index, the more the target wants to leave. If the willingness index is less than or equal to a preset second threshold (e.g., 90), determine the target's fourth location and dispatch personnel to that location to provide a manual reminder (e.g., "There is a risk of magnetic leakage here, which may affect your health and the precision instruments you are carrying. Please leave as soon as possible").

[0145] This application introduces a departure intention index to identify targets with low departure intention indices and manually remind them, thereby improving reminder efficiency.

[0146] This invention provides a proximity alarm system based on a mobile magnetic resonance imaging system, which calculates the departure intention index of the target being alerted, including:

[0147] Calculate the first departure intention value corresponding to the reminder target within the preset time period, and at the same time, calculate the corresponding second departure intention value;

[0148] The first departure intention value and the second departure intention value are summed to obtain the departure intention index corresponding to the reminder target.

[0149] The working principle and beneficial effects of the above technical solution are as follows:

[0150] Calculate the first and second departure intention values ​​of the target within a preset time period after a reminder is completed; the preset time period is specifically 5 seconds after the reminder is completed. Accumulate the first and second departure intention values ​​to obtain the target's departure intention index after a reminder is completed.

[0151] This application introduces a first departure intention value and a second departure intention value to calculate the departure intention index of the target, which is more appropriate.

[0152] This invention provides a proximity alarm system based on a mobile magnetic resonance imaging system, which calculates the first departure intention value of the target within a preset time period, including:

[0153] Obtain the fourth position and line of sight of the corresponding target within the time period after receiving the alarm;

[0154] Based on the fourth position, construct the first vector according to the direction of the line of sight;

[0155] Obtain the second boundary line of the first region, and determine the fifth position closest to the fourth position from the second boundary line;

[0156] Based on the fifth and fourth positions, determine the positional orientation of the fifth position relative to the fourth position;

[0157] Based on the fourth position, construct the second vector according to the position direction;

[0158] Calculate the cosine of the angle between the first vector and the second vector;

[0159] The cosine values ​​are accumulated to obtain the first departure intention value.

[0160] The working principle and beneficial effects of the above technical solution are as follows:

[0161] like Figure 2 As shown, the fifth position A of the corresponding reminder target after receiving the reminder is obtained. The fifth position is the position of the reminder target after receiving the reminder, which can be determined based on the image of the first area captured by the camera in the first area. At the same time, the gaze direction of the reminder target is determined. The gaze direction can be obtained based on gaze tracking technology, which is an existing technology and can be implemented. Based on the fifth position and the gaze direction, a first vector B is constructed.

[0162] The second boundary line S of the first region is defined as [e.g., the outer contour line of the first region]. The sixth position D, which is closest to the fifth position A on the second boundary line, is determined. The positional direction of the sixth position D relative to the fifth position A is determined. Based on the fifth position and its positional direction, a second vector C is constructed. Since the target's departure time from the first region based on the aforementioned positional direction is the shortest, the cosine of the angle between the first and second vectors is calculated. A larger cosine value indicates a smaller angle, suggesting the target is more likely to leave the first region. Calculating the vector angle based on the two vectors is existing technology and will not be elaborated upon. The cosine values ​​are accumulated to obtain a first departure intention value. A larger first departure intention value indicates the target is more likely to leave.

[0163] This application constructs a first vector and a second vector, determines the cosine value of the angle between the first vector and the second vector, and calculates a first departure intention value based on the cosine value, thereby improving the rationality of determining the first departure intention value.

[0164] This invention provides a proximity alarm system based on a mobile magnetic resonance imaging system, which calculates a corresponding second departure intention value, including:

[0165] Based on preset segmentation rules, the time period is divided into multiple time intervals;

[0166] Obtain the start time and end time of the time interval;

[0167] Obtain the seventh position of the start time and the eighth position of the end time;

[0168] Calculate the distance between the eighth position and the seventh position;

[0169] Obtain the time length of the time interval corresponding to the distance;

[0170] Calculate the ratio of the distance to the corresponding time length;

[0171] Assign weight coefficients to the time intervals corresponding to the ratios to obtain the weighted ratios;

[0172] The weighted ratios are summed to obtain the second departure intention value.

[0173] The working principle and beneficial effects of the above technical solution are as follows:

[0174] The preset segmentation rule is to divide the time period into multiple time intervals [e.g., dividing the above time period into 3-second intervals to obtain multiple time intervals of 3 seconds]. The start and end times of each time interval are obtained; the start time is the initial time of the time interval, and the end time is the final time of the time interval. The seventh position of the target corresponding to the start time and the eighth position of the target corresponding to the end time are obtained, and the distance between the eighth and seventh positions is calculated [e.g., 2 meters]. The corresponding time interval length is [e.g., 3 seconds]. The ratio of distance to the corresponding time length is calculated [e.g., 0.667]. The larger the ratio, the faster the target's movement. A weight coefficient is assigned to the ratio corresponding to the time interval to obtain a weighted ratio; when assigning weights, the ratio and weight coefficient are multiplied, and the earlier the time interval is in the time length interval, the higher the weight coefficient of the corresponding time interval. The above weighted ratios are accumulated to obtain the second departure intention value; the larger the weighted ratio, the larger the second departure intention value.

[0175] This application introduces segmentation rules to determine multiple time intervals. Based on the distance difference between the start time and the end time in the above time intervals and the length of the corresponding time interval, the ratio of distance to the corresponding time length is determined, and different weight coefficients are assigned to the ratio to obtain a weighted ratio, thereby improving the accuracy of the weighted ratio determination.

[0176] This invention provides a near-field alarm method based on a mobile magnetic resonance system, such as... Figure 3 As shown, it includes:

[0177] Step 1: Obtain the location and influence distance of the mobile MRI equipment in operation;

[0178] Step 2: Based on preset drawing rules, determine the first region affected by the mobile magnetic resonance imaging device according to the device location and influence distance;

[0179] Step 3: Obtain the first image within the first region;

[0180] Step 4: Based on the first image, determine whether there is a person in the first area; if so, identify the target for alerting.

[0181] Step 5: Provide the appropriate reminder to the target.

[0182] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A proximity alarm system based on a mobile magnetic resonance system, characterized in that, include: The first acquisition module is used to acquire the device location and influence distance of the mobile magnetic resonance imaging equipment; The determination module is used to determine the first region affected by the mobile magnetic resonance device based on preset drawing rules, the device location, and the influence distance. The second acquisition module is used to acquire the first image within the first region; The judgment module is used to determine whether there is a person in the first area based on the first image; if so, it determines the target for alerting. The first reminder module is used to provide corresponding reminders to the target. The second reminder module is used to calculate the departure intention index corresponding to the reminder target after the reminder is completed; If the departure intention index is less than or equal to a preset second threshold, obtain the fourth location corresponding to the reminder target; The dispatcher will go to the fourth location to issue the reminder. The calculation of the departure intention index corresponding to the reminder target includes: Calculate the first departure intention value corresponding to the reminder target within the preset time period, and at the same time, calculate the corresponding second departure intention value; The first departure intention value and the second departure intention value are summed to obtain the departure intention index corresponding to the reminder target; The calculation of the first departure intention value corresponding to the reminder target within the preset time period includes: Obtain the fourth position and line of sight of the target within the time period after receiving the reminder; Based on the fourth position, construct the first vector according to the direction of the line of sight; Obtain the second boundary line of the first region, and determine the fifth position closest to the fourth position from the second boundary line; Based on the fifth and fourth positions, determine the positional orientation of the fifth position relative to the fourth position; Based on the fourth position, construct the second vector according to the position direction; Calculate the cosine of the angle between the first vector and the second vector; The cosine values ​​are accumulated to obtain the first departure intention value; The calculation of the corresponding second departure intention value includes: Based on preset segmentation rules, the time period is divided into multiple time intervals; Obtain the start time and end time of the time interval; Obtain the seventh position of the start time and the eighth position of the end time; Calculate the distance between the eighth position and the seventh position; Obtain the time length of the time interval corresponding to the distance; Calculate the ratio of the distance to the corresponding time length; Assign weight coefficients to the time intervals corresponding to the ratios to obtain the weighted ratios; The weighted ratios are summed to obtain the second departure intention value.

2. The proximity alarm system based on a mobile magnetic resonance system as described in claim 1, characterized in that, The second acquisition module performs the following operations: Obtain a preset distribution map of image acquisition devices within the first area, and determine at least one first image acquisition device from the image acquisition device distribution map; Acquire the first image captured by the first image acquisition device; And / or, The first image is acquired by a second image acquisition device pre-set on a mobile magnetic resonance imaging device.

3. A proximity alarm system based on a mobile magnetic resonance system as described in claim 2, characterized in that, The acquisition of the first image acquired by the first image acquisition device includes: Obtain a region map of the first region, determine the first position of the first image acquisition device and the first boundary line of the first region from the region map, and determine whether the first position is on the first boundary line; If so, the corresponding first image acquisition device shall be used as the third image acquisition device; Acquire the shooting mode of the third image acquisition device; When the shooting mode is fixed angle shooting, the corresponding third image acquisition device is used as the fourth image acquisition device, and the fifth image acquisition device that cannot capture the first area is determined among the fourth image acquisition devices. The fifth image acquisition device in the first image acquisition device is removed, and the third image captured by the remaining first image acquisition device is obtained and used as the first image.

4. A proximity alarm system based on a mobile magnetic resonance system as described in claim 1, characterized in that, The judgment module performs the following operations: Based on a preset feature extraction template, feature extraction is performed on the first image to obtain multiple first image features; Match the first image features with human features in a preset human feature database to obtain a matching value; Accumulate the matching values ​​to obtain the sum of the matching values; If the sum of the matching values ​​is greater than or equal to the preset first threshold, then there is a person in the first area, and at least one person to be identified is determined. Determine whether the person to be identified is a staff member; if not, set the corresponding person to be identified as the target of the alert.

5. A proximity alarm system based on a mobile magnetic resonance system as described in claim 1, characterized in that, The first reminder module performs the following operations: Based on the first image, determine the second location of the alert target within the first area; Obtain a preset reminder car distribution map, determine the reminder car closest to the second position from the reminder car distribution map, and control the reminder car to move to the second position; Once the reminder vehicle reaches the second position, it provides a corresponding reminder to the target based on preset reminder rules. The third location corresponding to the reminder target is obtained in real time after the reminder is issued; The reminder is completed when the third location is no longer within the first area.

6. A near-field alarm method based on a mobile magnetic resonance system, characterized in that, include: Step 1: Obtain the location and influence distance of the mobile MRI equipment in operation; Step 2: Based on preset drawing rules, determine the first region affected by the mobile magnetic resonance imaging device according to the device location and influence distance; Step 3: Obtain the first image within the first region; Step 4: Based on the first image, determine whether there is a person in the first area; if so, identify the target for alerting. Step 5: Provide the appropriate reminder to the target; Step 6: After completing the reminder, calculate the departure intention index corresponding to the reminder target; if the departure intention index is less than or equal to a preset second threshold, obtain the fourth position corresponding to the reminder target; The dispatcher will go to the fourth location to issue the reminder. The calculation of the departure intention index corresponding to the reminder target includes: Calculate the first departure intention value corresponding to the reminder target within the preset time period, and at the same time, calculate the corresponding second departure intention value; The first departure intention value and the second departure intention value are summed to obtain the departure intention index corresponding to the reminder target; The calculation of the first departure intention value corresponding to the reminder target within the preset time period includes: Obtain the fourth position and line of sight of the target within the time period after receiving the reminder; Based on the fourth position, construct the first vector according to the direction of the line of sight; Obtain the second boundary line of the first region, and determine the fifth position closest to the fourth position from the second boundary line; Based on the fifth and fourth positions, determine the positional orientation of the fifth position relative to the fourth position; Based on the fourth position, construct the second vector according to the position direction; Calculate the cosine of the angle between the first vector and the second vector; The cosine values ​​are accumulated to obtain the first departure intention value; The calculation of the corresponding second departure intention value includes: Based on preset segmentation rules, the time period is divided into multiple time intervals; Obtain the start time and end time of the time interval; Obtain the seventh position of the start time and the eighth position of the end time; Calculate the distance between the eighth position and the seventh position; Obtain the time length of the time interval corresponding to the distance; Calculate the ratio of the distance to the corresponding time length; Assign weight coefficients to the time intervals corresponding to the ratios to obtain the weighted ratios; The weighted ratios are summed to obtain the second departure intention value.

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