Construction site management system based on intelligent supervision APP

Abstract

This invention discloses a construction site management system based on a smart supervision APP, including: a region division module, which marks dangerous work points on the topographic information of the acquired construction area topographic map, and sets dangerous work areas and monitoring areas within the construction area according to the topographic information. It relates to the field of construction management technology, and can predict whether there are suspicious personnel intending to enter dangerous work areas based on personnel location and walking dynamics, obtain the work point location of suspicious personnel for subsequent relevant deployment, avoid the problem of unrelated construction personnel accidentally entering dangerous work areas and causing safety accidents, improve the safety control effect, and realize standardized safety management of construction sites.

Description

Technical Field

[0001] This invention belongs to the field of construction management technology, specifically a construction site management system based on a smart supervision APP. Background Technology

[0002] The Smart Supervision APP is an information management application focused on on-site construction, aiming to improve the accuracy of construction control and the precision of target management through mobile internet and a comprehensive analysis platform.

[0003] Currently, at construction sites, to prevent unauthorized personnel from entering the site, barriers are often erected and access control systems are added to improve construction safety. However, due to the large size and complex routes of construction sites, ordinary construction workers can easily wander into dangerous work areas. These dangerous work areas often contain large equipment and have complex road conditions, posing extremely high safety risks. In existing technologies, it is difficult to predict whether a worker intends to enter a dangerous work area based on their walking patterns and to take preventative measures in advance. This results in poor safety control and affects subsequent construction operations. To address these shortcomings, this invention makes the following improvements. Summary of the Invention

[0004] This invention aims to solve the problems mentioned in the background section; to this end, this invention proposes a construction site management system based on a smart supervision APP, comprising:

[0005] The area division module marks hazardous work points on the topographic information of the acquired construction area topographic map, and sets hazardous work areas and monitoring areas within the construction area based on the topographic information.

[0006] The personnel prediction module is used to periodically obtain the shortest distance between the location of construction personnel and the hazardous work point. When the shortest distance continuously decreases, a monitoring command is triggered to automatically monitor the movement status of construction personnel. The predicted range of the personnel's forward direction is represented by continuously monitoring the 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 location of construction personnel reaching the edge of the monitored area as a warning point, obtain the travel route between the construction personnel's location and the warning point when the monitoring command is triggered, obtain the monitoring point based on the total length v of the travel route, obtain the total time T for the construction personnel to travel from the monitoring point to the warning point, identify the hazard factor by the proportion of the overlapping part of the area covered by the construction personnel in the total time T within the predicted area, judge the construction personnel's intention based on the total duration OR of the hazard factor, and when judged as a suspicious person, perform facial recognition through the monitoring unit to obtain the work point location information of the suspicious person, and make relevant deployment based on the work point location information.

[0008] Preferably, it also includes a personnel information database, which is used to input and store the facial feature data and work 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 the topographic map is marked with dangerous work points. The topographic information of the construction area is acquired based on the topographic map.

[0010] Preferably, the specific division method in the region division module is as follows:

[0011] Select the preset hazardous work point, and mark the circular area obtained by drawing a circle with the hazardous work point as the center and the set value d as the radius as the hazardous work area;

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

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

[0014] Obtain the shortest distance B between the initial position of the construction worker and the hazardous work point. As the construction worker moves, periodically obtain the shortest distance between the construction worker and the hazardous work point, and recalibrate it as an interval distance to obtain f interval distances, which are labeled as Ri, i = 1, 2, ..., f, where the interval length is a preset value. According to the order R1, R2, ..., Rf, calculate the difference Cf between each of the f interval distances and the shortest distance B according to the formula. The specific calculation formula is as follows:

[0015] Ri-B = Cf; where Cf is negative, then Cf is labeled as an influence factor YS. The total number of labeled influence factors YS is counted. When YS ≥ 0.6f, it is determined that the construction worker is gradually approaching the dangerous work area. At this time, the monitoring command is triggered to automatically monitor the construction worker.

[0016] Preferably, the specific method for dividing the prediction range and coverage area is as follows:

[0017] Establish a Cartesian coordinate system starting from the entrance of the construction area. Compare the x-coordinate and y-coordinate values ​​of each point on both feet one by one. Take the point that satisfies the minimum x-coordinate and y-coordinate as the reference point to obtain two reference points. Connect the two reference points to obtain a reference line. Starting from the midpoint of the reference line, draw two rays L1, making them 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, using the reference point as the endpoint, draw two rays L2 in the direction of the midpoint of the worker's toes. Extend the rays L2 in the opposite direction along the endpoint until the two rays L2 intersect. Mark the area enclosed by the two rays L2 as the coverage area.

[0019] The preferred method for determining suspicious persons is as follows:

[0020] When construction workers reach the edge of the monitored area, their current position on the edge is marked as a warning point. The travel route from the worker's position when the monitoring command was triggered to the warning point is obtained, and the total length v of the travel route is calculated. Workers on the travel route that are close to the warning point are then identified. The location is marked as a monitoring point, and the total time T for construction personnel to travel from the monitoring point to the warning point is obtained.

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

[0022] When a construction worker arrives at the warning point and the OR is greater than or equal to 0.65T, the worker is considered a suspicious person with the intention of entering the hazardous work area.

[0023] Preferably, when a suspicious person's work point is identified within the monitored area, a line is obtained connecting the suspicious person's work point to the center of the hazardous work area. Then, the point where the outer edge of the hazardous work area intersects with the connecting line is identified and marked as a critical point. The line segment from the critical point to the work point is marked as a baseline. The length value g of the baseline is calculated, and points on the baseline that are close to the critical point are marked as... The point is marked as a designated point. Then, a circle is drawn with the hazardous work point as the center and the distance between the center and the designated point as the radius. The resulting circular area is then marked as a restricted area. Suspected personnel will not be affected by the early warning of the monitoring unit when working outside the restricted area.

[0024] Preferably, when a suspicious person's work location is identified as being outside the monitored area, the audible and visual alarm in the monitoring unit will issue an alarm sound and visual signal to provide a warning. When a suspicious person's work location is identified as being within a hazardous work area, the warning from the monitoring unit will not affect the warning.

[0025] Preferably, the specific division method in the region division module is as follows:

[0026] The circular area obtained by drawing a circle with the hazardous work point as the center and the set value q as the radius is marked as the initial division area. Within the initial division area, the specific locations where the same type of accident has occurred are obtained, resulting in several accident points. The total number of accident points is counted and marked as ZS.

[0027] Mark the hazardous work point as the core point, mark the distance of the shortest route from several accident points to the core point as the road length, mark the accident point with the largest road length as the end point, and mark the line segment obtained by connecting the core point and the end point as the auxiliary line.

[0028] Mark c nodes on the auxiliary line, where the distances from the core point and the end point to their adjacent nodes and the distances between any two nodes are equal. Using 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 radii, resulting in several concentric circles. Mark the concentric circles as S1, S2, ..., Sc+1 in order from the outside in. Mark the non-overlapping part between concentric circles S1 and S2 as the outer ring region. Count the total number of accident points in the outer ring region 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 a radius of 1.5 times the distance from the core point to the end point is marked as the hazardous work area.

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

[0031] Compared with the prior art, the beneficial effects of the present invention are:

[0032] Hazardous work areas and monitoring areas are pre-defined by a zone division module. Within the construction area, a personnel prediction module predicts whether construction workers intend to enter hazardous work areas based on their location and movement patterns. This allows for proactive prevention and control of hazardous work areas, avoiding accidents caused by unrelated personnel accidentally entering them and improving safety control effectiveness. On the other hand, when it is detected that construction workers entering the monitoring area are related to hazardous work areas, they are not affected by the early warning from the monitoring unit, allowing them to quickly enter the hazardous work area to carry out construction operations, thus accelerating the construction progress and providing convenience for construction workers.

[0033] Furthermore, when construction workers enter the monitoring range, their work point information can be obtained through facial recognition. Restricted areas can be divided according to the location of the workers' work points, allowing ordinary construction workers to carry out construction normally outside the restricted areas without being affected by the warnings from the monitoring unit, thus achieving standardized safety management of the construction site. Attached Figure Description

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

[0035] Figure 2 This is a schematic diagram of several concentric circles of the present invention. Detailed Implementation

[0036] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] Example 1

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

[0039] The personnel information database allows construction workers to pre-enter their facial feature data before starting work, and determines their work location based on their job duties. The database also stores the facial feature data of the construction workers and the location information of their work locations.

[0040] The acquisition module acquires a topographic map of the construction area, which marks hazardous work points. These hazardous work points are manually pre-set. The module also acquires topographic information of the construction area based on the topographic map and transmits the topographic information to the area division module.

[0041] The area division module receives terrain information and divides the construction area into hazardous work areas and monitoring areas based on the terrain information. The specific division method is as follows:

[0042] Select the preset hazardous work point, and mark the circular area obtained by drawing a circle with the hazardous work point as the center and the set value d as the radius as the hazardous work area. The value of radius d is determined manually. This value needs to ensure the safety of personnel activities outside the hazardous work area and that they are not affected by the hazardous work point.

[0043] Then, draw concentric circles around the hazardous work area with a set value m as the radius, and mark the part of the circle that does not overlap with the hazardous work area as the monitoring area;

[0044] The personnel prediction module periodically obtains the shortest distance between the location of construction personnel and the hazardous work point. When the shortest distance continuously decreases, a monitoring command is triggered to automatically monitor the movement status of construction personnel. The predicted range of the personnel's forward direction is represented by continuously monitoring the direction of the construction personnel's footsteps, and the coverage area is determined by the tangent range formed between the construction personnel and the monitored area.

[0045] The location of the construction worker reaching the edge of the monitored area is marked as a warning point. The travel route between the construction worker's location and the warning point when the monitoring command is triggered is obtained, and the monitoring point is obtained based on the total length v of the travel route. The total time T for the construction worker to travel from the monitoring point to the warning point is obtained. The risk factor is marked by the proportion of the overlapping part of the area covered by the construction worker in the total time T within the predicted area. The intention of the construction worker is judged based on the total duration OR of the risk factor. When the construction worker is judged to be a suspicious person, the face recognition is performed through the monitoring unit to obtain the work point location information of the suspicious person, and relevant deployment is made based on the work point location information.

[0046] The specific methods for personnel forecasting are as follows:

[0047] Taking a construction worker within a construction area as an example, the shortest distance B between the worker's initial position and the hazardous work point is obtained. The initial position refers to the position where the worker is first detected entering the construction area. As the worker moves, the shortest distance between the worker and the hazardous work point is periodically obtained and recalibrated as interval distances, resulting in f interval distances, labeled as Ri, i = 1, 2, ..., f. The interval duration is a preset value. Following the order R1, R2, ..., Rf, the difference Cf between each of the f interval distances and the shortest distance B is calculated using the following formula:

[0048] Ri-B=Cf; where Cf is negative, Cf is labeled as an influence factor YS. The total number of labeled influence factors YS is counted. When YS≥0.6f, it is determined that the construction worker is gradually approaching the dangerous work area. At this time, the monitoring command is triggered to automatically monitor the construction worker.

[0049] Establish a Cartesian coordinate system starting from the entrance of the construction area. Compare the x-coordinate and y-coordinate values ​​of each point on both feet one by one. Take the point that satisfies the minimum x-coordinate and y-coordinate as the reference point. This gives two reference points. Connect the two reference points to get a reference line. Starting from the midpoint of the reference line, draw two rays L1, making them 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, using the reference point as the endpoint, draw two rays L2 in the direction of the midpoint of the worker's toes. Extend the rays L2 in the opposite direction along the endpoint until the two rays L2 intersect. Mark the area enclosed by the two rays L2 as the coverage area.

[0051] When construction workers reach the edge of the monitored area, their current position on the edge is marked as a warning point. The travel route from the worker's position when the monitoring command was triggered to the warning point is obtained, and the total length v of the travel route is calculated. Workers on the travel route that are close to the warning point are then identified. The location is marked as a monitoring point, and the total time T for construction personnel to travel from the monitoring point to the warning point is obtained.

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

[0053] When a construction worker arrives at the warning point and the OR is greater than or equal to 0.65T, the worker is identified as a suspicious person intending to enter the hazardous work area. A suspicious signal is generated and transmitted to the monitoring unit. Upon receiving the suspicious signal, the monitoring unit uses its monitoring equipment to perform facial recognition on the suspicious person and, with reference to the personnel information database, obtains the work location information of the suspicious person by recognizing facial feature data. The monitoring unit is equipped with monitoring equipment and an audible and visual alarm, model AS-1101.

[0054] When a suspicious person's work point is identified within the monitored area, a line is drawn connecting the suspicious person's work point to the center of the hazardous work area. The intersection point between the outer edge of the hazardous work area and this line is then identified and marked as a critical point. The line segment from the critical point to the work point is marked as a baseline. The length g of the baseline is calculated, and points on the baseline that are close to the critical point are identified. The point is marked as a designated point. Then, a circle is drawn with the hazardous work point as the center and the distance between the center and the designated point as the radius. The resulting circular area is then marked as a restricted area. Suspected personnel will not be affected by the early warning of the monitoring unit when working outside the restricted area.

[0055] When a suspicious person's work location is identified as being outside the monitored area, the audible and visual alarm in the monitoring unit will emit an alarm sound and a visual signal to serve as a warning.

[0056] When a suspicious person's work location is identified as being within a hazardous work area, the monitoring unit's warning will not affect them.

[0057] Example 2

[0058] Compared to Embodiment 1, this embodiment provides another method for dividing hazardous work areas, specifically as follows:

[0059] The circular area obtained by drawing a circle with the hazardous work point as the center and the set value q as the radius is marked as the initial division area. Within the initial division area, the specific locations where the same type of accident has occurred are obtained, resulting in several accident points. The total number of accident points is counted and marked as ZS.

[0060] Mark the hazardous work point as the core point, mark the distance of the shortest route from several accident points to the core point as the road length, mark the accident point with the largest road length as the end point, and mark the line segment obtained by connecting the core point and the end point 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 their adjacent nodes, as well as the distances between any two nodes, are equal. Using 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 radii, thus obtaining several concentric circles. Label these concentric circles sequentially as S1, S2, ..., S... from the outside in. c+1 The non-overlapping portion between concentric circles S1 and S2 is marked as the outer ring region. The total number of accident points within the outer ring region is counted and marked as W.

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

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

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

[0065] Example 3

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

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

[0068] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A construction site management system based on a smart supervision APP, characterized in that: include: The area division module marks hazardous work points on the topographic information of the acquired construction area topographic map, and sets hazardous work areas and monitoring areas within the construction area based on the topographic information. The personnel prediction module is used to periodically obtain the shortest distance between the location of construction workers and hazardous work points. When the shortest distance continuously decreases, a monitoring command is triggered to automatically monitor the movement status of construction workers. The predicted range of the personnel's forward direction is determined by the tangent range formed by the construction worker and the outer edge of the monitored area. At the same time, by continuously monitoring the direction of the construction worker's footsteps, the coverage area is determined by the area enclosed by ray L2. The specific processing method is as follows: Establish a Cartesian coordinate system starting from the entrance of the hazardous work area. Compare the absolute values ​​of the x-coordinate and y-coordinate of each point on both feet. The point with the smallest absolute values ​​of both x-coordinate and y-coordinate is taken as the reference point. Connect the two reference points to obtain the reference line. Starting from the midpoint of the reference line, draw two rays L1, making them 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, using the reference point as the endpoint, draw two rays L2 in the direction of the midpoint of the worker's toes. Extend the rays L2 in the opposite direction along the endpoint until the two rays L2 intersect. Mark the area enclosed by the two rays L2 as the coverage area. It is also used to mark the location of construction personnel reaching the edge of the monitored area as a warning point, obtain the travel route between the construction personnel's location and the warning point when the monitoring command is triggered, and obtain the monitoring point based on the total length v of the travel route. It also obtains the total time T for the construction personnel to travel from the monitoring point to the warning point, and identifies the risk factor by the proportion of the overlapping part of the area covered by the construction personnel in the total time T within the predicted range. It judges the intention of the construction personnel based on the total duration OR of the risk factor. When the personnel are judged to be suspicious, the monitoring unit performs facial recognition to obtain the work point location information of the suspicious personnel, and makes relevant deployments based on the work point location information.

2. The construction site management system based on a smart supervision APP according to claim 1, characterized in that, It also includes a personnel information database, which is used to input and store the facial feature data and work location information of all construction personnel in the construction area.

3. The construction site management system based on a smart supervision APP according to claim 1, 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. The topographic information of the construction area is obtained based on the topographic map.

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

5. The construction site management system based on a smart supervision APP according to claim 3, characterized in that, The specific prediction method in the personnel prediction module is as follows: Obtain the shortest distance B between the initial position of the construction worker and the hazardous work point. As the construction worker moves, periodically obtain the shortest distance between the construction worker and the hazardous work point, and recalibrate it as an interval distance to obtain f interval distances, which are labeled as Ri, i = 1, 2, ..., f, where the interval length is a preset value. According to the order R1, R2, ..., Rf, calculate the difference Cf between each of the f interval distances and the shortest distance B according to the formula. The specific calculation formula is as follows: Ri-B = Cf; where Cf is negative, then Cf is labeled as an influence factor YS. The total number of labeled influence factors YS is counted. When YS ≥ 0.6f, it is determined that the construction worker is gradually approaching the dangerous work area. At this time, the monitoring command is triggered to automatically monitor the construction worker.

6. The construction site management system based on a smart supervision APP according to claim 1, characterized in that, The method for identifying suspicious persons is as follows: When construction workers reach the edge of the monitored area, their current position on the edge is marked as a warning point. The travel route from the worker's position when the monitoring command was triggered to the warning point is obtained, and the total length v of the travel route is calculated. Workers on the travel route that are close to the warning point are then identified. The location is marked as a monitoring point, and the total time T for construction personnel to travel from the monitoring point to the warning point is obtained. During the movement of construction personnel, the overlapping part of the area covered by the construction personnel within the predicted range in the total time T is obtained, and the area of ​​the overlapping part is calculated. When the area of ​​the overlapping part is greater than or equal to the preset value K, it is marked as a hazard factor. The total duration OR of the total time T marked with hazard factors is calculated. When a construction worker arrives at the warning point and the OR is greater than or equal to 0.65T, the worker is considered a suspicious person with the intention of entering the hazardous work area.

7. The construction site management system based on a smart supervision APP according to claim 6, characterized in that, When a suspicious person's work point is identified within the monitored area, a line is drawn connecting the suspicious person's work point to the center of the hazardous work area. The point where the outer edge of the hazardous work area intersects with this line is then marked as a critical point. The line segment from the critical point to the work point is marked as a baseline. The length g of the baseline is calculated, and points on the baseline that are close to the critical point are designated as baseline points. The point is marked as a designated point. Then, a circle is drawn with the hazardous work point as the center and the distance between the center and the designated point as the radius. The resulting circular area is then marked as a restricted area. Suspected personnel will not be affected by the early warning of the monitoring unit when working outside the restricted area.

8. The construction site management system based on a smart supervision APP according to claim 7, characterized in that, When a suspicious person's work location is identified as being outside the monitored area, the audible and visual alarm in the monitoring unit will sound an alarm and send a visual signal to warn the user. However, if the suspicious person's work location is identified as being within a hazardous work area, the warning from the monitoring unit will not affect the user's warning.

9. The construction site management system based on a smart supervision APP according to claim 1, characterized in that, The specific division method in the region division module is as follows: The circular area obtained by drawing a circle with the hazardous work point as the center and the set value q as the radius is marked as the initial division area. Within the initial division area, the specific locations where the same type of accident has occurred are obtained, resulting in several accident points. The total number of accident points is counted and marked as ZS. Mark the hazardous work point as the core point, mark the distance of the shortest route from several accident points to the core point as the road length, mark the accident point with the largest road length as the end point, and mark the line segment obtained by connecting the core point and the end point as the auxiliary line. Mark c nodes on the auxiliary line, where the distances from the core point and the end point to their adjacent nodes and the distances between any two nodes are equal. Using 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 radii, resulting in several concentric circles. Mark the concentric circles as S1, S2, ..., Sc+1 in order from the outside in. Mark the non-overlapping part between concentric circles S1 and S2 as the outer ring region. Count the total number of accident points in the outer ring region 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 a radius of 1.5 times the distance from the core point to the end point is marked as the hazardous work area. When W < QZ×ZS, the area of ​​concentric circle S1 is marked as a hazardous work area; In the formula, QZ is a preset value.

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