Engineering supervision safety monitoring method and system

Abstract

The invention relates to the technical field of safety monitoring, and particularly discloses an engineering supervision safety monitoring method and system, and the method comprises the following steps: S1, monitoring the stress state of a safety rope; acquiring a shot image of a worker operation area, dividing the image into a plurality of pixels, establishing a coordinate system, and recording pixel coordinates; s2, when the safety rope is stressed, acquiring a pixel coordinate of a connecting point of the safety rope, and determining an anchor point coordinate within a certain distance range from the connecting point coordinate; identifying two end points of the safety rope, and judging whether the worker wears the safety rope normally or not according to whether the far end point is in the anchor point coordinate set or not and whether the distance between the near end point and the connecting point is in a preset error range or not; s3, when the safety rope is not stressed, whether the worker has a supporting object or not is recognized, and supporting parameters are recorded; and according to whether the endpoint coordinates are in the new anchor point coordinate set and whether the endpoint distance is in a preset error range, whether the worker wears the safety rope normally is judged in combination with the support parameters.

Description

Technical Field

[0001] The present invention relates to the technical field of safety monitoring, and particularly relates to a safety monitoring method and system for engineering supervision. Background Art

[0002] Safety monitoring in engineering supervision is an important link to ensure the safe and smooth progress of engineering projects during the construction process; it refers to the behavior and process in which the supervision unit supervises, inspects, manages, and controls the safety status during the construction process of engineering projects according to relevant laws, regulations, standards, norms, and contract requirements.

[0003] In the scenario of high-altitude engineering operations, workers often need to wear safety ropes to ensure their own safety. However, the existing monitoring technologies mainly rely on detecting whether the safety rope is under stress to determine whether the worker is wearing the safety rope. This method has certain limitations in actual use. When a worker is working at a high altitude and there is a support, such as working against a wall or a shelf, the safety rope may not be under tension, resulting in the monitoring system misjudging that the worker is not wearing the safety rope. Therefore, the method that simply relies on monitoring the stress condition of the safety rope cannot accurately reflect the wearing status of the worker's safety equipment. Summary of the Invention

[0004] The purpose of the present invention is to provide a safety monitoring method and system for engineering supervision to solve the above technical problems.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A safety monitoring method for engineering supervision includes the following steps:

[0007] Step S1: Set monitoring points on the safety rope, where the monitoring points are used to monitor the stress state of the safety rope, and the stress state includes being under stress and not being under stress; obtain the captured image of the worker's working area, divide the captured image into several pixels, establish a coordinate system on the captured image, and obtain the coordinates of the center point of the pixel on the coordinate system, denoted as pixel coordinates;

[0008] Step S2: When the safety rope is in a stressed state, obtain the pixel coordinates of the connection point of the safety rope on the captured image, denoted as connection point coordinates, where the safety rope connection point is the point on the worker's body for wearing the safety rope; set a first distance range threshold, and obtain the pixel coordinates of all anchor points whose distances from the connection point coordinates belong to the first distance range threshold, denoted as anchor point coordinates, to obtain an anchor point coordinate set;

[0009] Obtain the two endpoints of the safety rope on the captured image. Denote the endpoint closest to the worker as the near endpoint, and the other endpoint as the far endpoint. Denote the pixel coordinates where the near endpoint and the far endpoint are located as the near endpoint coordinates and the far endpoint coordinates respectively. Set two judgment parameters K1 and K2. If the far endpoint coordinates belong to the set of anchor point coordinates, then record K1 = 1; otherwise, record K1 = 0. Obtain the distance between the near endpoint and the connection point coordinates, denoted as the endpoint distance. If the endpoint distance belongs to the preset error range threshold, then record K2 = 1; otherwise, record K2 = 0. When and only when K1 * K2 = 1, the worker's safety rope is worn without abnormality.

[0010] Step S3: When the safety rope is in an unloaded state, identify whether there is a support for the worker in the captured image. Set a support parameter Z. If there is a support, then record Z = 1; otherwise, record Z = 0. Set a second distance range threshold. Obtain the anchor point coordinates of all anchor points whose distance from the connection point coordinates belongs to the second distance range threshold to obtain a new set of anchor point coordinates. If the endpoint coordinates belong to the new set of anchor point coordinates, then record K1 = 1; otherwise, record K1 = 0. If the endpoint distance belongs to the preset error range threshold, then record K2 = 1; otherwise, record K2 = 0. When and only when Z * K1 * K2 = 1, the worker's safety rope is worn without abnormality.

[0011] As a further solution of the present invention: The process of the monitoring point monitoring the force state of the safety rope includes:

[0012] The monitoring point is placed at any endpoint of the safety rope, and the monitoring point is based on an elastic element. When the safety rope is subjected to a tensile force, the elastic element deforms. If the amount of deformation of the elastic element exceeds the preset deformation threshold, then record that the safety rope is in a loaded state at this time; if the amount of deformation of the elastic element is less than or equal to the preset deformation threshold, then record that the safety rope is in an unloaded state at this time. The amount of deformation is the magnitude of the deformation when the elastic element deforms.

[0013] As a further solution of the present invention: The captured image is obtained by unmanned shooting. When the worker is at the center of the shooting range, obtain the image at this time, denoted as the captured image.

[0014] As a further solution of the present invention: The process of obtaining the connection point of the safety rope on the captured image includes:

[0015] Obtain sample images of several safety rope connection points, and based on image recognition technology, obtain the image features of the sample images, denoted as sample image features; divide the captured image into several rectangular sub-regions, obtain the image features of each sub-region, denoted as regional image features; obtain the similarity between each regional image feature and the sample image feature, select the sub-region corresponding to the regional image feature with the highest similarity, denoted as the target sub-region; obtain the center point of the target sub-region, denoted as the safety rope connection point.

[0016] As a further solution of the present invention: the setting process of the first distance range threshold includes:

[0017] Obtain the length L of the safety rope and set a deviation threshold ε, then the first distance range threshold is set as [L - ε, L + ε].

[0018] As a further solution of the present invention: the second distance range threshold is set as (0, L).

[0019] As a further solution of the present invention: when the safety rope is in a stressed state, K1*K2 = 0, then there is an abnormality in the worker's wearing of the safety rope; when the safety rope is in an unstressed state, Z*K1*K2 = 0, then there is an abnormality in the worker's wearing of the safety rope.

[0020] An engineering supervision safety monitoring system, characterized by including:

[0021] Data acquisition module: Set monitoring points on the safety rope, and the monitoring points are used to monitor the stressed state of the safety rope, and the stressed state includes stressed and unstressed; obtain the captured image of the worker's working area, divide the captured image into several pixels, and establish a coordinate system on the captured image, and obtain the coordinates of the center point of the pixel on the coordinate system, denoted as pixel coordinates;

[0022] First monitoring module: When the safety rope is in a stressed state, obtain the pixel coordinates where the safety rope connection point is located on the captured image, denoted as connection point coordinates, and the safety rope connection point is the point on the worker's body for wearing the safety rope; set the first distance range threshold, and obtain the pixel coordinates of all anchor points whose distance from the connection point coordinates belongs to the first distance range threshold, denoted as anchor point coordinates, to obtain an anchor point coordinate set;

[0023] Obtain the two endpoints of the safety rope on the captured image. Denote the endpoint closest to the worker as the near endpoint, and the other endpoint as the far endpoint. Denote the pixel coordinates of the near endpoint and the far endpoint as the near endpoint coordinates and the far endpoint coordinates respectively. Set two judgment parameters K1 and K2. If the far endpoint coordinates belong to the set of anchor point coordinates, then record K1 = 1; otherwise, record K1 = 0. Obtain the distance between the near endpoint and the connection point coordinates, denoted as the endpoint distance. If the endpoint distance belongs to the preset error range threshold, then record K2 = 1; otherwise, record K2 = 0. When and only when K1 * K2 = 1, the worker's safety rope is worn without abnormality.

[0024] Second monitoring module: When the safety rope is in an unloaded state, identify whether there is a support for the worker in the captured image. Set a support parameter Z. If there is a support, then record Z = 1; otherwise, record Z = 0. Set a second distance range threshold. Obtain the anchor point coordinates of all anchor points whose distances from the connection point coordinates belong to the second distance range threshold, and obtain a new set of anchor point coordinates. If the endpoint coordinates belong to the new set of anchor point coordinates, then record K1 = 1; otherwise, record K1 = 0. If the endpoint distance belongs to the preset error range threshold, then record K2 = 1; otherwise, record K2 = 0. When and only when Z * K1 * K2 = 1, the worker's safety rope is worn without abnormality.

[0025] Advantages of the present invention:

[0026] By monitoring the stress state of the safety rope and the worker's wearing situation in real time, the present invention can timely detect abnormal wearing or incorrect use of the safety rope, thereby effectively preventing safety accidents in high-altitude operations and improving safety. Using image processing and coordinate analysis technologies, it automatically judges the wearing state of the worker's safety rope, reduces the workload of manual inspection, improves the monitoring efficiency and accuracy, and realizes automatic monitoring. The present invention can also obtain and analyze data in real time, provide instant feedback, ensure that corrective measures can be taken promptly when abnormal situations are found, and guarantee the safety of workers to achieve real-time feedback. In addition, by setting a distance range threshold and an error range threshold, the present invention can objectively judge the use situation of the safety rope and reduce potential safety hazards caused by human judgment errors. The present invention also considers two states of the safety rope being stressed and unstressed, and introduces the judgment of a support, which can adapt to different working environments and working conditions, and enhance the comprehensiveness and applicability of monitoring. Generally speaking, the present invention improves the safety monitoring level of high-altitude operations through technical means, reduces safety risks, and guarantees the life safety of workers. Description of the Drawings

[0027] The present invention will be further described below with reference to the accompanying drawings.

[0028] Figure 1It is a schematic flow chart of a safety monitoring method for project supervision in the present invention. Specific embodiments

[0029] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0030] Please refer to Figure 1 As shown, the present invention is a safety monitoring method for project supervision, including the following steps:

[0031] Step S1: Set monitoring points on the safety rope. The monitoring points are used to monitor the stress state of the safety rope, and the stress state includes being stressed and not being stressed; obtain the captured image of the worker's operation area, divide the captured image into several pixels, establish a coordinate system on the captured image, and obtain the coordinates of the center point of the pixel on the coordinate system, denoted as pixel coordinates;

[0032] It should be noted that when a worker is working at height, if a fall or suspension occurs, the safety rope will bear the weight of the worker, and at this time the safety rope is in a stressed state; when the worker stands on a stable platform or uses other safety equipment (such as a scaffold), the safety rope may not bear any weight and is in an unstressed state; in addition, if the worker does not wear the safety rope correctly, or the safety rope is not fixed to an appropriate anchor point, the safety rope may also be in an unstressed state;

[0033] As a preferred embodiment of the present invention, the process of the monitoring point monitoring the stress state of the safety rope includes:

[0034] The monitoring point is placed at any end point of the safety rope, and the monitoring point is based on an elastic element; when the safety rope is subjected to a tensile force, the elastic element deforms. If the amount of deformation of the elastic element exceeds a preset deformation threshold, it is recorded that the safety rope is in a stressed state at this time; if the amount of deformation of the elastic element is less than or equal to the preset deformation threshold, it is recorded that the safety rope is in an unstressed state at this time; the amount of deformation is the magnitude of the deformation when the elastic element deforms;

[0035] It can be understood that the elastic element can respond to the change of external force. When the safety rope is subjected to a tensile force, the elastic element will deform due to the external force, and the magnitude of the deformation is proportional to the tensile force received;

[0036] As a preferred embodiment of the present invention, the captured image is obtained by unmanned shooting. When the worker is at the center of the shooting range, the image at this time is obtained and denoted as the captured image;

[0037] It should be noted that the drone is equipped with a GPS module itself and determines its precise position by receiving satellite signals. Before obtaining the captured image of the worker's operation area, a preset geographical fence range is input into the flight control software of the drone, and this range is the worker's operation area. For example, on a large construction site, according to the coordinate information of the construction site, a polygonal geographical fence is set in the software, and the vertex coordinates correspond to the boundary points of the construction site. When the drone is flying, if it enters or is within this geographical fence range, it can start capturing the situation of the workers in the operation area;

[0038] Step S2: When the safety rope is in a stressed state, obtain the pixel coordinates of the safety rope connection point on the captured image, denoted as the connection point coordinates. The safety rope connection point is the point on the worker's body for wearing the safety rope. Set a first distance range threshold, and obtain the pixel coordinates of all the anchor points whose distance from the connection point coordinates belongs to the first distance range threshold, denoted as the anchor point coordinates, to obtain the anchor point coordinate set;

[0039] Obtain the two endpoints of the safety rope on the captured image. Denote the endpoint closest to the worker as the near endpoint, and the other endpoint as the far endpoint, and denote the pixel coordinates of the near endpoint and the far endpoint as the near endpoint coordinates and the far endpoint coordinates respectively. Set two judgment parameters K1 and K2. If the far endpoint coordinates belong to the anchor point coordinate set, then record K1 = 1; otherwise, record K1 = 0. Obtain the distance between the near endpoint and the connection point coordinates, denoted as the endpoint distance. If the endpoint distance belongs to the preset error range threshold, then record K2 = 1; otherwise, record K2 = 0. When and only when K1 * K2 = 1, the worker's safety rope is worn without abnormality;

[0040] It should be noted that the anchor point is a fixed point in the engineering building for fixing and connecting the safety rope hook. When K1 * K2 = 1, it means that the far endpoint is correctly fixed on the anchor point, and the distance between the near endpoint and the connection point is within the allowable error range. The present invention can accurately judge the connection and fixing situation of the safety rope through pixel coordinates and distance thresholds;

[0041] As a preferred embodiment of the present invention, the process of obtaining the safety rope connection point on the captured image includes:

[0042] Obtain sample images of several safety rope connection points, and obtain the image features of the sample images based on image recognition technology, denoted as sample image features; divide the captured image into several rectangular sub-regions, and obtain the image features of each sub-region, denoted as regional image features; obtain the similarity between each regional image feature and the sample image feature, select the sub-region corresponding to the regional image feature with the highest similarity, denoted as the target sub-region; obtain the center point of the target sub-region and denote it as the safety rope connection point;

[0043] It can be understood that obtaining the similarity between each regional image feature and the sample image feature can be achieved by calculating a certain distance metric between the two, such as Euclidean distance, cosine similarity, etc.; select the sub-region corresponding to the regional image feature with the highest similarity, denoted as the target sub-region; finally, obtain the center point of the target sub-region and denote it as the safety rope connection point; for example, if the target sub-region is a rectangular region with diagonal coordinates (x1, y1) and (x2, y2), then the coordinates of the safety rope connection point can be taken as (x1 + x2) / 2, (y1 + y2) / 2;

[0044] In a preferred embodiment of the present invention, the setting process of the first distance range threshold includes:

[0045] Obtain the length L of the safety rope and set a deviation threshold ε, then the first distance range threshold is set as [L - ε, L + ε];

[0046] It should be noted that when the safety rope is in a stressed state, it will be straightened; at this time, the distance between the coordinates of the safety rope connection point (the position where the worker wears the safety rope) and the coordinates of the corresponding anchor point of the safety rope in the captured image (the fixed point where the safety rope is fixed on the building) is equal to the actual length of the safety rope; this is because the length of the safety rope is a relatively fixed physical quantity when it is stressed and straightened; for example, if the actual length of the safety rope is 5 meters, when it is stressed and straightened, the pixel distance between the connection point coordinates and the anchor point coordinates is measured through image analysis and is 5 meters after conversion. Here, the conversion relationship between the image pixel distance and the actual physical distance is not elaborated here;

[0047] Moreover, in actual working scenarios, the occlusion of the worker's body parts will cause the path of the safety rope to change; the safety rope may not be fully straightened into a straight line due to factors such as the worker's body shape and posture; for example, the safety rope may bypass the worker's waist or legs, which will cause the safety rope to bend; this bending will result in the actual path length from the connection point to the anchor point being longer than the straight line length of the safety rope itself; this additional length is the distance error caused by the occlusion of the worker's body parts; for example, assume that the length of the safety rope itself is 5 meters, but due to the occlusion of the worker's legs, the actual path length of the safety rope reaches 5.2 meters, then this 0.2 meters is the distance error within the error range;

[0048] Step S3: When the safety rope is in an unloaded state, identify whether there is a support for the worker in the captured image, set the support parameter Z. If there is a support, record Z = 1; otherwise, record Z = 0; set the second distance range threshold, and obtain the anchor point coordinates of all anchor points whose distances from the connection point coordinates belong to the second distance range threshold, to obtain a new set of anchor point coordinates; if the endpoint coordinates belong to the new set of anchor point coordinates, record K1 = 1; otherwise, record K1 = 0; if the endpoint distance belongs to the preset error range threshold, record K2 = 1; otherwise, record K2 = 0; when and only when Z * K1 * K2 = 1, the worker's safety rope is worn without abnormality;

[0049] It should be noted that the support includes a scaffold. The process of identifying whether there is a support for the worker in the captured image includes:

[0050] Collect a number of image data, and the image data must include the different postures of the worker and the support under various environments; label the collected image data to clearly mark the area where the worker is located and the area where the support is located; this process usually needs to be completed manually or using semi-automatic annotation tools; preprocess the image data, such as adjusting the image size, normalization processing, etc., so that it can be better processed by the algorithm; select a convolutional neural network model, and use the labeled image data set to train the convolutional neural network model so that it can accurately identify the worker and the support; use the validation set to evaluate the performance of the model, and optimize the model according to the results, adjust the parameters to improve the recognition accuracy, and obtain the final recognition model; identify the worker and the support in the captured image through the recognition model, and judge whether the worker and the support are in contact, and whether the support is directly below the worker; if the worker and the support are in contact, and the support is directly below the worker, record that the worker has a support at this time;

[0051] It should be noted that whether the support is directly below the worker can be determined by comparing the vertical relationship between the worker and the center point of the support; if the center of the support is within a certain allowable offset range of the center of the worker (for example, the offset in the x-axis direction is less than a preset threshold), it is considered that the support is directly below the worker;

[0052] As a preferred embodiment of the present invention, the setting of the second distance range threshold is (0, L);

[0053] It is worth noting that when the safety rope is not under force, it is in a state of natural drooping or relaxation placed on a certain surface; at this time, the shape of the safety rope is not a straight line, and it may be bent or have a certain degree of wrinkles; for example, when the safety rope is hung on a hook and then connected to the worker's safety belt, without external pulling force, the safety rope will droop naturally due to its own gravity and form some arcs; the length measurement of the safety rope in this natural state is from the connection point (such as the connection between the safety belt and the safety rope) along the curve of the safety rope to the anchor point (such as the fixed point of the safety rope at the hook); due to the existence of bent and wrinkled parts, the straight-line distance between the actually measured connection point coordinates and the anchor point coordinates will be less than the length of the safety rope itself;

[0054] As a preferred embodiment of the present invention, when the safety rope is in a stressed state and K1*K2 = 0, there is an abnormality in the wearing of the worker's safety rope; when the safety rope is in an unstressed state and Z*K1*K2 = 0, there is an abnormality in the wearing of the worker's safety rope;

[0055] It can be understood that when the safety rope is in a stressed state and K1*K2 = 0, it means that at least one judgment parameter is 0, that is, the distal point coordinates do not belong to the set of anchor point coordinates or the distance between the proximal point and the connection point is not within the preset error range, which indicates that there is an abnormality in the wearing of the safety rope; when the safety rope is in an unstressed state and Z*K1*K2 = 0, it means that at least one parameter is 0, that is, no support is detected or the distal point coordinates do not belong to the set of anchor point coordinates or the distance between the proximal point and the connection point is not within the preset error range, which indicates that there is an abnormality in the wearing of the safety rope.

[0056] An engineering supervision safety monitoring system includes:

[0057] Data acquisition module: Monitoring points are set on the safety rope, and the monitoring points are used to monitor the stress state of the safety rope, and the stress state includes stressed and unstressed; obtaining a captured image of the worker's operation area, dividing the captured image into several pixels, and establishing a coordinate system on the captured image, and obtaining the coordinates of the center point of the pixel on the coordinate system, denoted as pixel coordinates;

[0058] The first monitoring module: When the safety rope is in a stressed state, obtain the pixel coordinates of the connection point of the safety rope in the captured image, denoted as the connection point coordinates. The connection point of the safety rope is the point on the worker's body for wearing the safety rope; set a first distance range threshold, and obtain the pixel coordinates of all the anchor points whose distance from the connection point coordinates belongs to the first distance range threshold, denoted as the anchor point coordinates, to obtain an anchor point coordinate set.

[0059] Obtain the two endpoints of the safety rope in the captured image, denote the endpoint closest to the worker as the near endpoint, denote the other endpoint as the far endpoint, and denote the pixel coordinates of the near endpoint and the far endpoint as the near endpoint coordinates and the far endpoint coordinates respectively; set two judgment parameters K1 and K2. If the far endpoint coordinates belong to the anchor point coordinate set, then record K1 = 1; otherwise, record K1 = 0; obtain the distance between the near endpoint and the connection point coordinates, denoted as the endpoint distance. If the endpoint distance belongs to the preset error range threshold, then record K2 = 1; otherwise, record K2 = 0; when and only when K1 * K2 = 1, the worker's safety rope is worn without abnormality.

[0060] The second monitoring module: When the safety rope is in an unstressed state, identify whether there is a support for the worker in the captured image. Set a support parameter Z. If there is a support, then record Z = 1; otherwise, record Z = 0; set a second distance range threshold, and obtain the anchor point coordinates of all the anchor points whose distance from the connection point coordinates belongs to the second distance range threshold, to obtain a new anchor point coordinate set; if the endpoint coordinates belong to the new anchor point coordinate set, then record K1 = 1; otherwise, record K1 = 0; if the endpoint distance belongs to the preset error range threshold, then record K2 = 1; otherwise, record K2 = 0; when and only when Z * K1 * K2 = 1, the worker's safety rope is worn without abnormality.

[0061] The above has described an embodiment of the present invention in detail, but the content is only a preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. An engineering supervision safety monitoring method, characterized in that Including the following steps: Step S1: Set monitoring points on the safety rope. The monitoring points are used to monitor the stress state of the safety rope, and the stress state includes being stressed and not being stressed; obtain a captured image of the worker's working area, divide the captured image into several pixels, establish a coordinate system on the captured image, and obtain the coordinates of the center points of the pixels on the coordinate system, denoted as pixel coordinates; Step S2: When the safety rope is in a stressed state, obtain the pixel coordinates of the safety rope connection point on the captured image, denoted as connection point coordinates. The safety rope connection point is the point on the worker's body for wearing the safety rope; set a first distance range threshold, and obtain the pixel coordinates of all anchor points whose distances from the connection point coordinates belong to the first distance range threshold, denoted as anchor point coordinates, to obtain an anchor point coordinate set; Obtain the two endpoints of the safety rope on the captured image, denote the endpoint closest to the worker as the near endpoint, denote the other endpoint as the far endpoint, and denote the pixel coordinates of the near endpoint and the far endpoint as near endpoint coordinates and far endpoint coordinates respectively; set two judgment parameters K1 and K2. If the far endpoint coordinates belong to the anchor point coordinate set, then record K1 = 1; Otherwise, record K1 = 0; obtain the distance between the near endpoint and the connection point coordinates, denoted as the endpoint distance. If the endpoint distance belongs to the preset error range threshold, then record K2 = 1; Otherwise, record K2 = 0; when and only when K1 * K2 = 1, the worker's safety rope is worn without abnormality; Step S3: When the safety rope is in an unstressed state, identify whether there is a support for the worker in the captured image. Set a support parameter Z. If there is a support, then record Z = 1; Otherwise, record Z = 0; set a second distance range threshold, obtain the anchor point coordinates of all anchor points whose distances from the connection point coordinates belong to the second distance range threshold, to obtain a new anchor point coordinate set; if the endpoint coordinates belong to the new anchor point coordinate set, then record K1 = 1; Otherwise, record K1 = 0; if the endpoint distance belongs to the preset error range threshold, then record K2 = 1; otherwise, record K2 = 0; when and only when Z * K1 * K2 = 1, the worker's safety rope is worn without abnormality.

2. The engineering supervision safety monitoring method according to claim 1, characterized in that In step S1, the process of the monitoring point monitoring the stress state of the safety rope includes: The monitoring point is placed at any endpoint of the safety rope, and the monitoring point is based on an elastic element; when the safety rope is subjected to a tensile force, the elastic element deforms. If the deformation amount of the elastic element exceeds the preset deformation threshold, then record that the safety rope is in a stressed state at this time; if the deformation amount of the elastic element is less than or equal to the preset deformation threshold, then record that the safety rope is in an unstressed state at this time; the deformation amount is the magnitude of the deformation when the elastic element deforms.

3. The method for safety monitoring in engineering supervision according to claim 1, wherein In step S1, the captured image is obtained by unmanned shooting. When the worker is at the center of the shooting range, obtain the image at this time, denoted as the captured image.

4. The method for safety monitoring in engineering supervision according to claim 1, characterized in that, In step S2, the process of obtaining the safety rope connection point on the captured image includes: Obtain sample images of several safety rope connection points, and based on image recognition technology, obtain the image features of the sample images, denoted as sample image features; divide the captured image into several rectangular sub-regions, obtain the image features of each sub-region, denoted as regional image features; obtain the similarity between each regional image feature and the sample image feature, select the sub-region corresponding to the regional image feature with the highest similarity, denoted as the target sub-region; obtain the center point of the target sub-region, denoted as the safety rope connection point.

5. The engineering supervision safety monitoring method according to claim 1, characterized in that, In step S2, the setting process of the first distance range threshold includes: Obtain the length L of the safety rope and set a deviation threshold ε, then the first distance range threshold is set as [L - ε, L + ε].

6. The method for safety monitoring of project supervision according to claim 5, characterized in that, In step S3, the second distance range threshold is set as (0, L).

7. A safety monitoring method for engineering supervision according to claim 1, characterized in that, In step S3, when the safety rope is in a stressed state, if K1 * K2 = 0, then there is an abnormality in the worker's safety rope wearing. When the safety rope is in an unstressed state, if Z * K1 * K2 = 0, then there is an abnormality in the worker's safety rope wearing.

8. An engineering supervision safety monitoring system, characterized in that, It includes: Data acquisition module: Set monitoring points on the safety rope, and the monitoring points are used to monitor the stress state of the safety rope, and the stress state includes stressed and unstressed. Obtain the captured image of the worker's working area, divide the captured image into several pixels, establish a coordinate system on the captured image, and obtain the coordinates of the center point of the pixel on the coordinate system, denoted as pixel coordinates. First monitoring module: When the safety rope is in a stressed state, obtain the pixel coordinates where the safety rope connection point is located on the captured image, denoted as connection point coordinates, and the safety rope connection point is the point on the worker's body for wearing the safety rope; set the first distance range threshold, and obtain the pixel coordinates of all anchor points whose distance from the connection point coordinates belongs to the first distance range threshold, denoted as anchor point coordinates, to obtain an anchor point coordinate set; Obtain the two endpoints of the safety rope on the captured image, denote the endpoint closest to the worker as the near endpoint, denote the other endpoint as the far endpoint, and denote the pixel coordinates of the near endpoint and the far endpoint as near endpoint coordinates and far endpoint coordinates respectively; set two judgment parameters K1 and K2, if the far endpoint coordinates belong to the anchor point coordinate set, then record K1 = 1; Otherwise, record K1 = 0; obtain the distance between the near endpoint and the connection point coordinates, denoted as the endpoint distance, if the endpoint distance belongs to the preset error range threshold, then record K2 = 1; Otherwise, record K2 = 0; when and only when K1 * K2 = 1, the worker's safety rope is worn without abnormality; Second monitoring module: When the safety rope is in an unstressed state, identify whether there is a support for the worker in the captured image, set a support parameter Z, if there is a support, then record Z = 1; Otherwise, record Z = 0; set the second distance range threshold, obtain the anchor point coordinates of all anchor points whose distance from the connection point coordinates belongs to the second distance range threshold, to obtain a new anchor point coordinate set; if the endpoint coordinates belong to the new anchor point coordinate set, then record K1 = 1; Otherwise, record K1 = 0; if the end point distance belongs to the preset error range threshold, record K2 = 1; otherwise, record K2 = 0; when and only when Z * K1 * K2 = 1, the worker's safety rope is worn without abnormality.

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