Construction site management system based on intelligent supervision APP

Abstract

The invention discloses a construction site management system based on an intelligent supervision APP, and the system comprises a region division module which is used for calibrating a dangerous operation point on obtained topographic information of a construction region topographic map, and setting a dangerous operation region and a monitoring region in a construction region according to the topographic information, and relates to the technical field of construction management. Whether a person intends to enter a suspicious person in a dangerous operation area or not can be predicted according to the position and the walking dynamic state of the person, the working point position of the suspicious person is obtained for follow-up relevant deployment and control, the problem that unrelated constructors mistakenly enter the dangerous operation area to cause safety accidents is avoided, and the safety prevention and control effect is improved; and normative safety management of a construction site is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of construction management, and specifically is a construction site management system based on a smart supervision APP. Background Art

[0002] The Smart Supervision APP is an information management application focused on on-site construction. It aims to improve the accuracy of construction control and the leanness of target management through mobile Internet and comprehensive analysis platform.

[0003] At present, in order to prevent unauthorized persons from entering the construction site, fences are often set up outside the site and access control is added to improve the safety of construction. However, due to the large construction site and complicated routes, ordinary construction workers are easily mistakenly led into dangerous operation areas. In dangerous operation areas, there are many large-scale equipment and complex road conditions, which poses extremely high safety risks. In the prior art, in the construction area, it is difficult to predict whether the construction worker intends to enter the dangerous operation area based on the construction worker's walking dynamics and to take prevention and control measures in advance. The safety prevention and control effect is poor, which affects subsequent construction operations. In view of the above shortcomings, the present invention makes the following improvements. Summary of the invention

[0004] The present invention aims to solve the problems raised in the above background technology; to this end, the present invention proposes a construction site management system based on a smart supervision APP, comprising:

[0005] The area division module marks dangerous operation points on the terrain information of the acquired construction area topographic map, and sets dangerous operation areas and monitoring areas in the construction area according to the terrain information;

[0006] The personnel prediction module is used to periodically obtain the shortest distance between the construction personnel's position and the dangerous operation point. When the shortest distance decreases continuously, the monitoring command is triggered to automatically monitor the movement status of the construction personnel. The predicted range of the personnel's forward direction is expressed by continuously monitoring the movement direction of the construction personnel's footsteps, and the coverage area is determined by the tangent range formed between the construction personnel and the monitoring area.

[0007] It is also used to mark the position where the construction workers arrive at the edge line of the monitoring area as a warning point, obtain the travel route between the construction workers' position and the warning point when the monitoring command is triggered, and obtain the monitoring point according to the total length v of the travel route, and obtain the total time T for the construction workers to reach the warning point from the monitoring point. The risk factor is calibrated by the proportion of the overlapping part of the coverage area of ​​the construction workers in the total time T within the predicted area, and the intention of the construction workers is judged according to the total duration OR of the risk factor. When it is judged as a suspicious person, face recognition is performed through the monitoring unit to obtain the work point location information of the suspicious person, and relevant deployment is made according to the work point location information.

[0008] Preferably, it also includes a personnel information database for recording and storing the facial feature data and work point location information of all construction personnel in the construction area.

[0009] Preferably, it also includes an acquisition module and a data matching module. The acquisition module is used to acquire a topographic map of the construction area, and dangerous work points are marked on the topographic map, and the topographic information of the construction area is acquired according to the topographic map.

[0010] Preferably, the specific division method in the area division module is:

[0011] Select a preset dangerous operation point, and draw a circle with the dangerous operation point as the center and the set value d as the radius to mark the circular area as the dangerous operation area;

[0012] Draw a concentric circle with the set value m as the radius of the dangerous operation area, and mark the part of the circle that does not overlap with the dangerous operation area as the monitoring area.

[0013] Preferably, the specific prediction method in the personnel prediction module is:

[0014] The shortest distance B between the initial position of the construction personnel and the dangerous operation point is obtained. As the construction personnel move, the shortest distance between the construction personnel and the dangerous operation point is periodically obtained and recalibrated as the interval distance to obtain f interval distances, which are marked as Ri,i=1, 2, ..., f, where the interval length of the period is a preset value. In the order of R1, R2, ..., Rf, the difference Cf between the f interval distances and the shortest distance B is calculated according to the formula. The specific calculation formula is as follows:

[0015] Ri-B=Cf; when Cf is a negative number, Cf is calibrated as an influencing factor YS, and the total number of influencing factor YS calibrations is counted. When YS≥0.6f, it is determined that the construction worker is gradually approaching the dangerous working area, and the monitoring command is triggered to automatically monitor the construction worker.

[0016] Preferably, the specific division method of the prediction range and the coverage area is:

[0017] Establish a plane rectangular coordinate system with the entrance of the construction area as the starting point, compare the horizontal and vertical coordinate values ​​of each point of the two feet one by one, take the point that satisfies both the horizontal and vertical coordinates as the reference point, get two reference points, connect the two reference points to get a reference line, take the midpoint of the reference line as the starting point, make two rays L1 respectively, and make these two rays L1 tangent to the outer circle of the monitoring area, mark the area enclosed by the two rays L1 and the outer circle of the monitoring area as the prediction range, and calculate the area of ​​the prediction range;

[0018] Then, take the reference point as the endpoint and draw two rays L2 with the midpoint of the construction worker's toes as the direction, extend the rays L2 in the reverse direction along the endpoint until the two rays L2 intersect, and mark the area enclosed by the two rays L2 as the coverage area.

[0019] Preferably, the method for determining suspicious persons is:

[0020] When the construction worker reaches the edge line of the monitoring area, the current position of the construction worker on the edge line is marked as a warning point, the travel route between the construction worker's position and the warning point when the monitoring command is triggered is obtained, and the total length v of the travel route is calculated. The location is marked as a monitoring point, and the total time T of the construction personnel from the monitoring point to the warning point is obtained;

[0021] During the movement of construction workers, the overlapped part of the area covered by the construction workers in the total time T in the predicted area is obtained, and the area of ​​the overlapped part is calculated. When the area of ​​the overlapped part is greater than or equal to the preset value K, it is marked as a risk factor, and the total duration OR marked with the risk factor in the total time T is calculated;

[0022] When a construction worker reaches the warning point and OR≥0.65T, the construction worker is determined to be a suspicious person who intends to enter the dangerous operation area.

[0023] Preferably, when the work point of the suspicious person is identified to be within the monitoring area, the line between the work point of the suspicious person and the center of the dangerous operation area is obtained, and then the point where the outer circle of the dangerous operation area and the line intersect is obtained, marked as the critical point, and the line segment from the critical point to the work point is marked as the baseline, and the length g of the baseline is calculated, and the line segment on the baseline and close to the critical point is marked as the baseline. The designated point is marked as the dangerous operation point, and then a circle is drawn with the dangerous operation point as the center and the distance between the center and the designated point as the radius. The obtained circular area is then marked as a restricted area. Suspicious personnel working outside the restricted area will not be affected by the early warning of the monitoring unit.

[0024] Preferably, when it is identified that the suspicious person's work point is not within the monitoring area, the sound and light alarm in the monitoring unit emits an alarm sound and light signal to warn. When it is identified that the suspicious person's work point is within the dangerous working area, it will not be affected by the early warning of the monitoring unit.

[0025] Preferably, the specific division method in the area division module is:

[0026] The circular area obtained by drawing a circle with the dangerous operation point as the center and the set value q as the radius is marked as the initial division area. The specific locations where the same type of accidents occurred are obtained in the initial division area to obtain several accident points, and the total number of accident points is counted and marked as ZS;

[0027] The dangerous operation point is marked as the core point, the distance corresponding to the shortest route from several accident points to the core point is marked as the road length, the accident point with the largest road length is marked as the end point, and the line segment connecting the core point and the end point is marked as the auxiliary line;

[0028] Mark c nodes on the auxiliary line, where the distances from the core point and the end point to the adjacent nodes and the distances between any two nodes are equal. With the core point as the center, draw circles on the auxiliary line with the distances from each node and the end point to the core point as the radius to obtain several concentric circles. Mark the concentric circles as S1, S2, ..., Sc+1 in order from the outside to the inside. Mark the non-overlapping part between the concentric circle S1 and the concentric circle S2 as the outer ring area. Count the total number of accident points in the outer ring area and mark it as W;

[0029] When W≥QZ×ZS, the circular area obtained by drawing a circle with the core point as the center and 1.5 times the distance from the core point to the end point as the radius is marked as the dangerous operation area;

[0030] When W<QZ×ZS, the area of ​​the concentric circle S1 is marked as a dangerous operating area; where QZ is a preset value.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] The dangerous operation area and the monitoring area are divided in advance by the area division module. In the construction area, the personnel prediction module predicts whether the construction personnel intend to enter the dangerous operation area based on the personnel's position and walking dynamics, so as to carry out early prevention and control of the dangerous operation area, avoid the problem of irrelevant construction personnel mistakenly entering the dangerous operation area and causing safety accidents, and improve the safety prevention and control effect. On the other hand, when the construction personnel entering the monitoring area are monitored as relevant personnel in the dangerous operation area, they are not affected by the early warning of the monitoring unit, so that the relevant personnel can quickly enter the dangerous operation area for construction operations, which speeds up the construction progress and brings convenience to the construction personnel;

[0033] Furthermore, when construction workers enter the monitoring range, their work point information can be obtained through facial recognition, and restricted areas can be divided according to the locations of their work points, so that ordinary construction workers can carry out construction normally outside the restricted areas without being affected by the early warnings of the monitoring unit, thereby achieving standardized safety management of the construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the principle framework of the present invention;

[0035] Figure 2 It is a schematic diagram of several concentric circles of the present invention. DETAILED DESCRIPTION

[0036] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] Embodiment 1

[0038] See also Figure 1 and Figure 2 As shown, this application provides a construction site management system based on the smart supervision APP, including:

[0039] Personnel information database: construction personnel input facial feature data in advance before starting construction, determine the location of construction personnel's work points according to the work content, and store the construction personnel's facial feature data and work point location information;

[0040] The acquisition module acquires a topographic map of the construction area, on which dangerous operation points are marked. The dangerous operation points are manually preset, and the topographic information of the construction area is acquired according to the topographic map, and the topographic information is transmitted to the area division module;

[0041] The area division module receives terrain information and divides the dangerous operation area and the monitoring area in the construction area according to the terrain information. The specific division method is as follows:

[0042] Select the preset dangerous operation point, and draw a circle with the dangerous operation point as the center and the set value d as the radius to mark the circular area as the dangerous operation area. The value of the radius d here is determined by manual setting. This value needs to ensure the safety of personnel activities outside the dangerous operation area and is not affected by the dangerous operation point;

[0043] Then, a concentric circle with a set value m as radius is drawn around the dangerous operation area, and the part of the circle that does not overlap with the dangerous operation area is marked as the monitoring area;

[0044] The personnel prediction module periodically obtains the shortest distance between the construction personnel's position and the dangerous operation point. When the shortest distance decreases continuously, the monitoring command is triggered to automatically monitor the movement status of the construction personnel. By continuously monitoring the movement direction of the construction personnel's footsteps, the predicted range of the personnel's forward direction and the coverage area determined by the tangent range formed between the construction personnel and the monitoring area are expressed;

[0045] The position where the construction worker reaches the edge of the monitoring area is marked as a warning point, and the travel route between the construction worker's position and the warning point when the monitoring command is triggered is obtained. The monitoring point is obtained according to the total length v of the travel route, and the total time T of the construction worker from the monitoring point to the warning point is obtained. The risk factor is calibrated by the proportion of the overlapped part of the coverage area of ​​the construction worker in the total time T in the predicted area. The intention of the construction worker is judged according to the total duration OR of the risk factor. When it is judged as a suspicious person, face recognition is performed through the monitoring unit to obtain the work point location information of the suspicious person, and relevant control is made according to the work point location information;

[0046] The specific method of personnel prediction is as follows:

[0047] Taking a construction worker in the construction area as an example, the shortest distance B between the construction worker's initial position and the dangerous work point is obtained, where the initial position refers to the position where the construction worker is first monitored to enter the construction area. As the construction worker moves, the shortest distance between the construction worker and the dangerous work point is periodically obtained and recalibrated as the interval distance to obtain f interval distances, which are marked as Ri,i=1, 2, ..., f, where the interval length of the period is a preset value. In the order of R1, R2, ..., Rf, the difference Cf between the f interval distances and the shortest distance B is calculated according to the formula. The specific calculation formula is as follows:

[0048] Ri-B=Cf; when Cf is a negative number, Cf is calibrated as an impact factor YS, and the total number of impact factor YS calibrations is counted. When YS≥0.6f, it is determined that the construction worker is gradually approaching the dangerous operation area, and the monitoring command is triggered to automatically monitor the construction worker;

[0049] Establish a plane rectangular coordinate system with the entrance of the construction area as the starting point, compare the horizontal and vertical coordinate values ​​of each point of the two feet one by one, and take the point that satisfies both the minimum horizontal and vertical coordinates as the reference point, so as to obtain two reference points, connect the two reference points to obtain a reference line, take the midpoint of the reference line as the starting point, draw two rays L1 respectively, and make these two rays L1 tangent to the outer circle of the monitoring area, mark the area enclosed by the two rays L1 and the outer circle of the monitoring area as the prediction range, and calculate the area of ​​the prediction range;

[0050] Then, take the reference point as the endpoint and the midpoint of the construction worker's toes as the direction to draw two rays L2, respectively, extend the rays L2 in the opposite direction along the endpoint until the two rays L2 intersect, and mark the area enclosed by the two rays L2 as the coverage area;

[0051] When the construction worker reaches the edge line of the monitoring area, the current position of the construction worker on the edge line is marked as a warning point, the travel route between the construction worker's position and the warning point when the monitoring command is triggered is obtained, and the total length v of the travel route is calculated. The location is marked as a monitoring point, and the total time T of the construction personnel from the monitoring point to the warning point is obtained;

[0052] During the movement of the construction personnel, the overlapped part of the area covered by the construction personnel in the total time T in the predicted area is obtained, and the area of ​​the overlapped part is calculated. When the area of ​​the overlapped part is greater than or equal to the preset value K, it is marked as a risk factor. The total duration OR marked with the risk factor in the total time T is obtained by calculation. In this embodiment, K is 40%;

[0053] When a construction worker reaches the warning point and OR≥0.65T, the construction worker is determined to be a suspicious person who intends to enter the dangerous work area. At this time, a suspicious signal is generated and transmitted to the monitoring unit. After receiving the suspicious signal, the monitoring unit performs face recognition on the suspicious person through the monitoring equipment in the monitoring unit, and obtains the work point location information of the suspicious person by identifying the facial feature data with reference to the personnel information database. The monitoring unit is equipped with monitoring equipment and sound and light alarms. The model of the sound and light alarm is AS-1101.

[0054] When the suspicious person's work point is identified in the monitoring area, the line between the suspicious person's work point and the center of the dangerous operation area is obtained, and then the point where the outer circle of the dangerous operation area and the line intersect is obtained, marked as the critical point, and the line segment from the critical point to the work point is marked as the baseline, and the length of the baseline is calculated. The designated point is marked as the point, and then a circle is drawn with the dangerous operation point as the center and the distance between the center and the designated point as the radius, and then the obtained circular area is marked as the restricted area. Suspicious personnel working outside the restricted area will not be affected by the early warning of the monitoring unit;

[0055] When it is identified that the work point of a suspicious person is not within the monitoring area, the sound and light alarm in the monitoring unit will send out an alarm sound and light signal to warn;

[0056] When the suspicious person's work point is identified as being within a dangerous operation area, it will not be affected by the early warning of the monitoring unit.

[0057] Embodiment 2

[0058] Compared with the first embodiment, this embodiment provides another way to divide dangerous operation areas, specifically:

[0059] The circular area obtained by drawing a circle with the dangerous operation point as the center and the set value q as the radius is marked as the initial division area. The specific locations where the same type of accidents occurred are obtained in the initial division area to obtain several accident points, and the total number of accident points is counted and marked as ZS;

[0060] The dangerous operation point is marked as the core point, the distance corresponding to the shortest route from several accident points to the core point is marked as the road length, the accident point with the largest road length is marked as the end point, and the line segment connecting the core point and the end point is marked as the auxiliary line;

[0061] Mark c nodes on the auxiliary line. In this embodiment, c is 5. The distances from the core point and the end point to the adjacent nodes and the distances between the two nodes are equal. With the core point as the center, draw circles on the auxiliary line with the distances from each node and the end point to the core point as the radius. In this way, several concentric circles are obtained. The concentric circles are marked as S1, S2, ..., S in order from the outside to the inside. c+1 , mark the non-overlapping part between the concentric circles S1 and S2 as the outer ring area, count the total number of accident points in the outer ring area, and mark it as W;

[0062] When W≥QZ×ZS, the circular area obtained by drawing a circle with the core point as the center and 1.5 times the distance from the core point to the end point as the radius is marked as the dangerous operation area;

[0063] When W<QZ×ZS, the area of ​​the concentric circle S1 is marked as a dangerous operation area;

[0064] Wherein QZ is a preset value, and in this embodiment, the value of QZ is 0.3.

[0065] Embodiment 3

[0066] Please refer to Figure 1 to Figure 2 As shown, this embodiment is obtained by combining embodiment 1 and embodiment 2.

[0067] Some of the data in the above formulas are dimensionless for numerical calculations, and the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0068] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The construction site management system based on the smart supervision APP is characterized by: include: The area division module marks dangerous operation points on the terrain information of the acquired construction area topographic map, and sets dangerous operation areas and monitoring areas in the construction area according to the terrain information; The personnel prediction module is used to periodically obtain the shortest distance between the construction personnel's position and the dangerous operation point. When the shortest distance decreases continuously, the monitoring command is triggered to automatically monitor the movement status of the construction personnel. The predicted range of the personnel's forward direction is expressed by continuously monitoring the movement direction of the construction personnel's footsteps, and the coverage area is determined by the tangent range formed between the construction personnel and the monitoring area. It is also used to mark the position where the construction workers arrive at the edge line of the monitoring area as a warning point, obtain the travel route between the construction workers' position and the warning point when the monitoring command is triggered, and obtain the monitoring point according to the total length v of the travel route, and obtain the total time T for the construction workers to reach the warning point from the monitoring point. The risk factor is calibrated by the proportion of the overlapping part of the coverage area of ​​the construction workers in the total time T within the predicted area, and the intention of the construction workers is judged according to the total duration OR of the risk factor. When it is judged as a suspicious person, face recognition is performed through the monitoring unit to obtain the work point location information of the suspicious person, and relevant deployment is made according to the work point location information.

2. The construction site management system based on the smart supervision APP according to claim 1 is characterized in that: It also includes a personnel information database for entering and storing facial feature data and work point location information of all construction workers in the construction area.

3. The construction site management system based on the smart supervision APP according to claim 1 is characterized in that: It also includes an acquisition module, which is used to acquire a topographic map of the construction area, and the topographic map is marked with dangerous work points, and the topographic information of the construction area is acquired according to the topographic map.

4. The construction site management system based on the smart supervision APP according to claim 1 is characterized in that: The specific division method in the area division module is: Select a preset dangerous operation point, and draw a circle with the dangerous operation point as the center and the set value d as the radius to mark the circular area as the dangerous operation area; Draw a concentric circle with the set value m as the radius of the dangerous operation area, and mark the part of the circle that does not overlap with the dangerous operation area as the monitoring area.

5. The construction site management system based on the smart supervision APP according to claim 3 is characterized in that: The specific prediction method in the personnel prediction module is: The shortest distance B between the initial position of the construction personnel and the dangerous operation point is obtained. As the construction personnel move, the shortest distance between the construction personnel and the dangerous operation point is periodically obtained and recalibrated as the interval distance to obtain f interval distances, which are marked as Ri,i=1, 2, ..., f, where the interval length of the period is a preset value. In the order of R1, R2, ..., Rf, the difference Cf between the f interval distances and the shortest distance B is calculated according to the formula. The specific calculation formula is as follows: Ri-B=Cf; when Cf is a negative number, Cf is calibrated as an influencing factor YS, and the total number of influencing factor YS calibrations is counted. When YS≥0.6f, it is determined that the construction worker is gradually approaching the dangerous working area, and the monitoring command is triggered to automatically monitor the construction worker.

6. The construction site management system based on the smart supervision APP according to claim 5 is characterized in that: The specific division of the forecast range and coverage area is as follows: Establish a plane rectangular coordinate system with the entrance of the construction area as the starting point, compare the horizontal and vertical coordinate values ​​of each point of the two feet one by one, take the point that satisfies both the horizontal and vertical coordinates as the reference point, get two reference points, connect the two reference points to get a reference line, take the midpoint of the reference line as the starting point, make two rays L1 respectively, and make these two rays L1 tangent to the outer circle of the monitoring area, mark the area enclosed by the two rays L1 and the outer circle of the monitoring area as the prediction range, and calculate the area of ​​the prediction range; Then, take the reference point as the endpoint and draw two rays L2 with the midpoint of the construction worker's toes as the direction, extend the rays L2 in the reverse direction along the endpoint until the two rays L2 intersect, and mark the area enclosed by the two rays L2 as the coverage area.

7. The construction site management system based on the smart supervision APP according to claim 6 is characterized in that: The method of determining suspicious persons is as follows: When the construction worker reaches the edge line of the monitoring area, the current position of the construction worker on the edge line is marked as a warning point, the travel route between the construction worker's position and the warning point when the monitoring command is triggered is obtained, and the total length v of the travel route is calculated. The location is marked as a monitoring point, and the total time T of the construction personnel from the monitoring point to the warning point is obtained; During the movement of construction workers, the overlapped part of the area covered by the construction workers in the total time T in the predicted area is obtained, and the area of ​​the overlapped part is calculated. When the area of ​​the overlapped part is greater than or equal to the preset value K, it is marked as a risk factor, and the total duration OR marked with the risk factor in the total time T is calculated; When a construction worker reaches the warning point and OR≥0.65T, the construction worker is determined to be a suspicious person who intends to enter the dangerous operation area.

8. The construction site management system based on the smart supervision APP according to claim 7 is characterized in that: When the work point of a suspicious person is identified as being within the monitoring area, the line between the work point of the suspicious person and the center of the dangerous operation area is obtained, and then the point where the outer circle of the dangerous operation area intersects with the line is obtained, marked as the critical point, and the line segment from the critical point to the work point is marked as the baseline, and the length g of the baseline is calculated. The designated point is marked as the dangerous operation point, and then a circle is drawn with the dangerous operation point as the center and the distance between the center and the designated point as the radius. The obtained circular area is then marked as a restricted area. Suspicious personnel working outside the restricted area will not be affected by the early warning of the monitoring unit.

9. The construction site management system based on the smart supervision APP according to claim 8 is characterized in that: When it is identified that the suspicious person's work point is not in the monitoring area, the sound and light alarm in the monitoring unit will emit an alarm sound and light signal to warn. When it is identified that the suspicious person's work point is in the dangerous working area, it will not be affected by the early warning of the monitoring unit.

10. The construction site management system based on the smart supervision APP according to claim 1 is characterized in that: The specific division method in the area division module is: The circular area obtained by drawing a circle with the dangerous operation point as the center and the set value q as the radius is marked as the initial division area. The specific locations where the same type of accidents occurred are obtained in the initial division area to obtain several accident points, and the total number of accident points is counted and marked as ZS; The dangerous operation point is marked as the core point, the distance corresponding to the shortest route from several accident points to the core point is marked as the road length, the accident point with the largest road length is marked as the end point, and the line segment connecting the core point and the end point is marked as the auxiliary line; Mark c nodes on the auxiliary line, where the distances from the core point and the end point to the adjacent nodes and the distances between any two nodes are equal. With the core point as the center, draw circles on the auxiliary line with the distances from each node and the end point to the core point as the radius to obtain several concentric circles. Mark the concentric circles as S1, S2, ..., Sc+1 in order from the outside to the inside. Mark the non-overlapping part between the concentric circle S1 and the concentric circle S2 as the outer ring area. Count the total number of accident points in the outer ring area and mark it as W; When W≥QZ×ZS, the circular area obtained by drawing a circle with the core point as the center and 1.5 times the distance from the core point to the end point as the radius is marked as the dangerous operation area; When W<QZ×ZS, the area of ​​the concentric circle S1 is marked as a dangerous operation area; Where QZ is the preset value.

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