Construction safety monitoring method and system

Abstract

The invention relates to the technical field of safety monitoring, and discloses a construction safety monitoring method and system, which can automatically calculate a dynamic safety distance according to information such as a current execution task and a self state of an operator and equipment, set a multi-stage early warning mode according to the dynamic safety distance, improve the alarm accuracy, reduce false alarms and improve the construction safety. The burden of monitoring personnel is relieved, and the safety of the monitoring system is improved; wherein the dynamic safety distance is also set according to the type of work reused by an operator, and can be dynamically adjusted according to historical operation data, so that false alarm is avoided, the working efficiency is improved, and the production progress is ensured; and the control center identifies whether the operator is an equipment operator according to the calculated dynamic safety distance, and converts the dynamic safety distance into an electronic fence for monitoring when the operator is identified as the equipment operator, so that the safe construction of the operator is guaranteed in all directions.

Description

Technical Field

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

[0002] Construction safety is of utmost importance in engineering construction. Measures must be taken to ensure the safety of on-site construction personnel and equipment to prevent or correct safety risks during the construction process. Currently, the commonly used monitoring methods for construction safety are fixed-distance or video monitoring methods. When it is detected that a person approaches a dangerous area, the corresponding alarm module is controlled to give an alarm. However, when using the above methods to monitor construction safety, since the safety distances of each device are different for operating workers of different types of work or different types of equipment, setting a fixed safety distance will cause a large number of false alarms in the monitoring system, distract the attention of monitoring personnel, and reduce the effect of safety monitoring. Moreover, for moving people or equipment, when a fixed monitoring distance is set, due to their relatively high speed, there may still be safety risks.

[0003] For example, the invention patent with the publication number CN119048974A provides a construction safety monitoring method and device, which uses multiple fixed warning distances to monitor the approach of construction personnel, and does not consider the problem of changes in the monitoring distance caused by the movement of personnel or equipment or the switching of work types, which will pose safety hazards.

[0004] In addition, due to labor cost factors, most of the existing operating workers can perform multi-type work reuse. When they perform tasks of different types of work, the safety distances relative to the equipment are also different. When directly setting the maximum safety distance as the fixed safety distance for monitoring, it will cause inconvenience in operation during work type switching, frequently cause false alarms, generate a large amount of false alarm data, confuse the judgment, and easily lead to safety accidents over time. And safety measures will be taken during false alarms, delaying the production progress. At the same time, the existing monitoring system cannot distinguish and monitor whether it is the current equipment operator.

[0005] Therefore, how to propose a construction safety monitoring system and method with high safety is an urgent problem to be solved at present. Summary of the Invention

[0006] The purpose of the present invention is to overcome the deficiencies of the prior art and propose a construction safety monitoring method and system, which can automatically calculate the dynamic safety distance according to information such as the operating worker, the task currently executed by the equipment, and its own state, and set a multi-level warning method according to the dynamic safety distance, improve the alarm accuracy rate, reduce false alarms, relieve the burden of monitoring personnel, and improve the safety of the monitoring system.

[0007] The present invention provides a construction safety monitoring method, which specifically includes: when an operator enters the construction site, the identity information is verified by using an electronic work badge worn on the body. After the identity verification is passed, the electronic work badge uploads the current task and the operator's own status information to the control center; the operator's own status information includes the current position, moving speed and direction of the operator. The on-site equipment acquisition module acquires the status of each equipment itself, combines the status of the equipment itself with the information of its own equipment attributes, and sends it to the control center; the status of the equipment itself includes the current operation status, the current task being executed, the current position, the moving speed and direction of the equipment; the information of its own equipment attributes includes the equipment type and serial number. The cloud server of the control center builds a twin real-time monitoring model according to the equipment on the construction site. The twin real-time monitoring model calculates the first dynamic safety distance of each operator and predicts the first trajectory of the operator based on the received current task and the operator's own status information of the operator, and calculates the second dynamic safety distance of each equipment and predicts the second trajectory of the equipment based on the received status of each equipment itself and the information of its own equipment attributes. Based on the predicted first trajectory and second trajectory, corresponding control strategies and alarm information are generated according to the intersection degree of the first dynamic safety distance and the second dynamic safety distance.

[0008] Preferably, the twin real-time monitoring model calculates the first dynamic safety distance of each operator and predicts the first trajectory of the operator based on the received current task and the operator's own status information, specifically including: D 安1 =a1*(d 绝1 +d 相1 ) where D 安1 is the first dynamic safety distance; a1 is the current task coefficient of the operator, indicating the corresponding degree of the current task executed by the operator and the nearest on-site equipment; d 绝1 is the first absolute safety distance, which is a fixed value; d 相1 represents the first relative safety distance of the operator; the first relative safety distance is set outside the first absolute safety distance. d 相1 =d 相11 +d 相12 d 相11 =b1*d n1 +b2*d n2 +b3*d n3 +…b n *d nn where d n1 、d n2 、d n3 、d nnis the safety distance corresponding to the types of work that an operator can perform; b1, b2, b3, b n is the relative coefficient corresponding to the types of work that an operator can perform, and n takes positive integer values; d 相12 = d 基准1 *(V 当前1 / V 标准1 ) where d 基准1 is the reference safety distance at the standard speed of the operator; V 当前1 is the current moving speed of the operator; V 标准1 is the standard moving speed of the operator; The twin real-time monitoring model also predicts the first trajectory of the operator based on the obtained current moving speed, direction and current task of the operator.

[0009] Preferably, the twin real-time monitoring model calculates the second dynamic safety distance of each device and predicts the second trajectory of the device according to the received self-state and self-device attribute information of each device, specifically including: D 安2 = a2 * a3 * (d 绝2 + d 相2 ) where D 安2 is the second dynamic safety distance; a2 is the current operation state of the device; a3 is the current task coefficient of the device, indicating the corresponding degree of the current task executed by the device to the person or on-site device closest to it; d 绝2 is the second absolute safety distance, which is a fixed value; d 相2 represents the second relative safety distance of the device; the second relative safety distance is set outside the second absolute safety distance; d 相2 = d 基准2 *(V 当前2 / V 标准2 ) where d 基准2 is the reference safety distance at the standard speed of the device; V 当前2 is the current moving speed of the device; V 标准2 is the standard moving speed of the device; The twin real-time monitoring model also predicts the second trajectory of the device based on the obtained current moving speed, direction and current task of the device.

[0010] Preferably, based on the predicted first trajectory and second trajectory, the twin real-time monitoring model generates corresponding control strategies and alarm information according to the intersection degree of the first dynamic safety distance and the second dynamic safety distance, specifically including: If the calculated first dynamic safety distance and the calculated second dynamic safety distance are not 0 at the same time, it is determined whether the first dynamic safety distance and the second dynamic safety distance in the predicted first trajectory and the second trajectory intersect, and if there is no intersection of the dynamic safety distances, the output is continuously monitored; If the first relative safety distance intersects with the second relative safety distance, the control center outputs a vibration warning prompt to the electronic work card and the display screen inside the equipment respectively; If the first relative safety distance intersects with the second absolute safety distance, or the first absolute safety distance intersects with the second relative safety distance, the control center outputs an audible and visual warning prompt to the electronic work card and the display screen inside the equipment, and outputs a deceleration signal to the corresponding equipment to implement intervention; If the first absolute safety distance intersects with the second absolute safety distance, the control center outputs an emergency alarm signal to the electronic work badge and the display screen inside the equipment, and outputs an emergency stop signal to the corresponding equipment.

[0011] Preferably, if the calculated first dynamic safety distance and the second dynamic safety distance are both 0, after monitoring the operator entering the corresponding on-site equipment, an electronic fence is set according to the minimum value of the first absolute safety distance and the second absolute safety distance, and the internal video acquisition module of the equipment is activated; if it is detected that the operator exceeds the range of the electronic fence, the control center outputs an audible and visual warning prompt to the electronic work badge, and outputs an emergency stop signal to the corresponding equipment.

[0012] Preferably, the video acquisition module collects the operator's motion information in real time and uploads it to the control center. The control center extracts the operator's posture characteristics and inputs them into the posture monitoring model built by the cloud server. The posture monitoring model compares it with the preset dangerous action characteristics and outputs the comparison result. If the similarity in the comparison result exceeds the preset threshold, the control center outputs an audible and visual warning prompt to the electronic work badge and outputs an emergency stop signal to the corresponding equipment.

[0013] In order to solve the above technical problems, the present invention also provides a construction safety monitoring system, which includes an electronic work badge, on-site equipment, and a control center; The electronic badge includes a key unit, an identity authentication unit, an inertia detection unit, a UWB unit, an ink screen, a communication unit, an audible and visual alarm unit and a main control MCU; when an operator enters a construction site, the identity authentication unit passes the operator's identity authentication, and the inertia detection unit and the UWB unit upload the detected operator's own status information to the control center through the communication unit after pre-processing by the main control MCU; the main control MCU also receives the current execution task input by the operator through the key unit and uploads it to the control center through the communication unit; The field device includes an inertia detection unit, a UWB unit, a communication unit, an audible and visual alarm unit and a microprocessor; the inertia detection unit and the UWB unit send the detected state information of the field device to the microprocessor, and the microprocessor obtains its own device attribute information, combines it with the field device's own state information, and uploads it to the control center through the communication unit; The control center includes a cloud server, which contains a twin real-time monitoring model built according to the construction site equipment. The twin real-time monitoring model calculates the first dynamic safety distance of each operator based on the current task performed by the operator and its own status information, and predicts the first trajectory of the operator. It also calculates the second dynamic safety distance of each device based on the received status of each device and its own device attribute information, and predicts the second trajectory of the device. Based on the predicted first trajectory and second trajectory, corresponding control strategies and alarm information are generated according to the degree of intersection of the first dynamic safety distance and the second dynamic safety distance.

[0014] Furthermore, the twin real-time monitoring model generates corresponding control strategies and alarm information based on the predicted first trajectory and the second trajectory according to the intersection degree of the first dynamic safety distance and the second dynamic safety distance, specifically including: If the calculated first dynamic safety distance and the calculated second dynamic safety distance are not 0 at the same time, it is determined whether the first dynamic safety distance and the second dynamic safety distance in the predicted first trajectory and the second trajectory intersect, and if there is no intersection of the dynamic safety distances, the output is continuously monitored; If the first relative safety distance intersects with the second relative safety distance, the control center outputs a vibration warning prompt to the electronic work card and the display screen inside the equipment respectively; If the first relative safety distance intersects with the second absolute safety distance, or the first absolute safety distance intersects with the second relative safety distance, the control center outputs an audible and visual warning prompt to the electronic work card and the display screen inside the equipment, and outputs a deceleration signal to the corresponding equipment to implement intervention; If the first absolute safety distance intersects with the second absolute safety distance, the control center outputs an emergency alarm signal to the electronic work badge and the display screen inside the equipment, and outputs an emergency stop signal to the corresponding equipment.

[0015] Furthermore, a video acquisition module is also provided inside the on-site equipment; if the calculated first dynamic safety distance and the second dynamic safety distance are both 0, then after monitoring the operator entering the corresponding on-site equipment, the control center sets an electronic fence according to the minimum value of the first absolute safety distance and the second absolute safety distance, and activates the video acquisition module inside the equipment in conjunction with the control center; if it is detected that the operator exceeds the range of the electronic fence, the control center outputs an audible and visual warning prompt to the electronic work badge, and outputs an emergency stop signal to the corresponding equipment.

[0016] Furthermore, a posture monitoring model is built on the cloud server. The video acquisition module collects the action information of the operating workers in real time and uploads it to the control center. The control center extracts the posture features of the operators and inputs them into the posture monitoring model. The posture monitoring model compares them with the preset dangerous action features and outputs the comparison result. If the similarity in the comparison result exceeds the preset threshold, the control center outputs an audible and visual warning prompt to the electronic work card and outputs an emergency stop signal to the corresponding equipment.

[0017] The beneficial effects of the present invention are as follows: 1. Automatically calculate the dynamic safety distance according to the information such as the current tasks and self-states of the operating workers and the equipment, and set multiple warning methods according to the dynamic safety distance, improve the alarm accuracy rate, reduce false alarms, relieve the burden on the monitoring personnel, and improve the safety of the monitoring system; 2. The dynamic safety distance is also set according to the types of work reused by the operating workers and can be dynamically adjusted according to historical operation data, avoiding false alarms and improving work efficiency, and ensuring the production progress; 3. The control center identifies whether it is an equipment operator according to the calculated dynamic safety distance. When it is identified as an equipment operator, the dynamic safety distance is converted into an electronic fence for monitoring to ensure the safe construction of the operators in all directions. Description of the Drawings

[0018] Figure 1 is a schematic diagram of the principle of the construction safety monitoring system; Figure 2 is a schematic diagram of the dynamic safety distance between the operator and the equipment. Detailed Embodiments

[0019] In order to enable those skilled in the art of the present technology to better understand the technical solutions of the present invention, the present invention will be further described in detail below with reference to the drawings.

[0020] Embodiment 1

[0021] As Figure 1 shown, the present invention provides a construction safety monitoring system, and the construction safety monitoring system includes an electronic work card, on-site equipment, and a control center; The electronic work card includes a key unit, an identity verification unit, an inertial detection unit, a UWB unit, an ink screen, a communication unit, an audible and visual alarm unit, and a main control MCU. When an operating worker enters the construction site, after the identity verification unit passes the identity verification of the operating worker, the inertial detection unit and the UWB unit upload the detected self-state information of the operating worker to the control center through the main control MCU preprocessing and through the communication unit; the main control MCU also receives the current task input by the operating worker through the key unit and uploads it to the control center through the communication unit; The on-site device includes an inertial detection unit, a UWB unit, a communication unit, an acoustic-optic alarm unit, and a microprocessor; the inertial detection unit and the UWB unit send the detected self-state information of the on-site device to the microprocessor, and the microprocessor obtains its own device attribute information, combines it with the self-state information of the on-site device, and uploads it to the control center through the communication unit; The control center includes a cloud server, and the cloud server internally contains a twin real-time monitoring model built according to the construction site equipment. The twin real-time monitoring model calculates the first dynamic safety distance of each operator and predicts the first trajectory of the operator based on the received current tasks and self-state information of the operators, and calculates the second dynamic safety distance of each device and predicts the second trajectory of the device based on the received self-state and self-device attribute information of each device. Based on the predicted first and second trajectories, corresponding control strategies and alarm information are generated according to the intersection degree of the first dynamic safety distance and the second dynamic safety distance.

[0022] Specifically, when an operator enters the construction site, the identity verification unit of the electronic work permit is first used to verify the identity information of the operator. If the operator is consistent with the identity of the electronic work permit and the electronic work permit contains the current task of the operator, the main control MCU generates a verification passed signal and sends it to the control center. The control center sends an unlocking signal to the construction site access control to allow the operator to enter the construction site, otherwise the operator is not allowed to enter the construction site. The identity verification unit can be in the form of fingerprint, face, pupil recognition, etc.

[0023] Further, the twin real-time monitoring model calculates the first dynamic safety distance of each operator and predicts the first trajectory of the operator based on the received current tasks and self-state information of the operators, specifically including: D 安1 =a1*(d 绝1 +d 相1 ) where D 安1 is the first dynamic safety distance; a1 is the current task coefficient of the operator, indicating the corresponding degree between the current task of the operator and the nearest on-site device. If the corresponding degree between the current task of the operator and the nearest on-site device is the same, then a1 takes the value of 0, which means that the operator is the operator of the nearest on-site device and needs to approach or enter the on-site device for operation. If the corresponding degree is different, then a1 takes the value of 1, which means that the operator is not the operator of the nearest on-site device; d 绝1 is the first absolute safety distance, which is a fixed value and is set with reference to historical accident experience values; d 相1Represents the first relative safety distance of the operator; the first relative safety distance is set outside the first absolute safety distance; d 相1 = d 相11 + d 相12 d 相11 = b1 * d n1 + b2 * d n2 + b3 * d n3 + … b n * d nn Wherein, d n1 , d n2 , d n3 , d nn are the safety distances corresponding to the types of work that the operator can operate; b1, b2, b3, b n are the relative coefficients corresponding to the types of work that the operator can operate. n takes a positive integer value. Among them, the relative coefficient corresponding to the type of work that the operator can operate is determined according to the historical cumulative operation duration of the operator for each type of work. The higher the historical cumulative operation duration, the longer the operation duration of the operator for this type of work, and the greater the relative coefficient corresponding to this type of work. At this time, the relative safety distance d 相11 is closer to the safety distance that this type of work needs to maintain; among them, as the operation duration of the operator for each type of work changes, the relative safety distance d 相11 also changes dynamically accordingly; d 相12 = d 基准1 * (V 当前1 / V 标准1 ) Wherein, d 基准1 is the reference safety distance of the operator at the standard speed. This reference safety distance is set according to the reaction distance of the operator at the standard speed. The standard speed is the historical average moving speed of the operator; V 当前1 is the current moving speed of the operator; V 标准1 is the standard moving speed of the operator; The twin real-time monitoring model also predicts the first trajectory of the operator based on the obtained current moving speed, direction and current task of the operator.

[0024] Specifically, the twin real-time monitoring model sets up a deep learning model, extracts the historical moving data of the operator from the database, and combines the current moving speed, direction and current task of the operator to predict the first trajectory of the operator.

[0025] Further, the twin real-time monitoring model calculates the second dynamic safety distance of each device based on the received self-state and self-device attribute information of each device and predicts the second trajectory of the device, which specifically includes: D 安2 =a2*a3*(d 绝2 +d 相2 ) where D 安2 is the second dynamic safety distance; a2 is the current operating state of the device. If the device is currently in the on state, a2 takes the value of 1. If the device is currently in the off state, a2 takes the value of 0; a3 is the current task coefficient of the device, indicating the corresponding degree between the current task executed by the device and the nearest person or on-site device. If the corresponding degree between the current task executed by the device and the nearest person or on-site device is the same, a3 takes the value of 0, which means that the device needs to approach the nearest person or on-site device for operation. If the corresponding degrees are different, a3 takes the value of 1; d 绝2 is the second absolute safety distance, which is a fixed value set according to the on-site device operation specifications and historical accident experience values; d 相2 represents the second relative safety distance of the device; the second relative safety distance is set outside the second absolute safety distance; d 相2 =d 基准2 *(V 当前2 / V 标准2 ) where d 基准2 is the reference safety distance at the standard speed of the device, and this reference safety distance is set according to the historical braking distance of the device; V 当前2 is the current moving speed of the device; V 标准2 is the standard moving speed of the device; if the on-site device is a non-movable type of device, then V 当前2 / V 标准2 is set to 1.

[0026] The twin real-time monitoring model also predicts the second trajectory of the device based on the obtained current moving speed and direction of the device and the current task being executed.

[0027] Specifically, the twin real-time monitoring model sets up a deep learning model, extracts the historical moving data of the device from the database, and predicts the second trajectory of the device in combination with the current moving speed and direction of the device and the current task being executed.

[0028] Further, based on the predicted first trajectory and second trajectory, the twin real-time monitoring model generates corresponding control strategies and alarm information according to the intersection degree of the first dynamic safety distance and the second dynamic safety distance, which specifically includes: If the calculated first dynamic safety distance and the calculated second dynamic safety distance are not 0 at the same time, it is determined whether the first dynamic safety distance and the second dynamic safety distance in the predicted first trajectory and the second trajectory intersect, and if there is no intersection of the dynamic safety distances, the output is continuously monitored; If the first relative safety distance intersects with the second relative safety distance, the control center outputs a vibration warning prompt to the electronic work card and the display screen inside the equipment respectively; If the first relative safety distance intersects with the second absolute safety distance, or the first absolute safety distance intersects with the second relative safety distance, the control center outputs an audible and visual warning prompt to the electronic work card and the display screen inside the equipment, and outputs a deceleration signal to the corresponding equipment to implement intervention; If the first absolute safety distance intersects with the second absolute safety distance, the control center outputs an emergency alarm signal to the electronic work badge and the display screen inside the equipment, and outputs an emergency stop signal to the corresponding equipment.

[0029] Furthermore, a video acquisition module is also provided inside the on-site equipment; if the calculated first dynamic safety distance and the second dynamic safety distance are both 0, then after monitoring the operator entering the corresponding on-site equipment, the control center sets an electronic fence according to the minimum value of the first absolute safety distance and the second absolute safety distance, and activates the video acquisition module inside the equipment in conjunction with the control center; if it is detected that the operator exceeds the range of the electronic fence, the control center outputs an audible and visual warning prompt to the electronic work badge, and outputs an emergency stop signal to the corresponding equipment.

[0030] Furthermore, the cloud server is equipped with a posture monitoring model, and the video acquisition module collects the operator's motion information in real time and uploads it to the control center. The control center extracts the operator's posture characteristics and inputs them into the posture monitoring model. The posture monitoring model compares it with the preset dangerous action characteristics and outputs the comparison result. If the similarity in the comparison result exceeds the preset threshold, the control center outputs an audio and light warning prompt to the electronic work badge and outputs an emergency stop signal to the corresponding equipment.

[0031] Example 2 In order to solve the above technical problems, the present invention also provides a construction safety monitoring method, which specifically includes: when an operator enters a construction site, he uses an electronic badge worn on him to verify his identity information, and after the identity verification is passed, the electronic badge uploads the operator's current task and its own status information to a control center; the self-status information includes the operator's current position, moving speed and direction; The on-site device acquisition module collects the status of each device itself, combines the status of the device itself with its own device attribute information, and sends it to the control center; the status of the device itself includes the current operation status of the device, the current task being executed, the current location, the moving speed and direction of the device; the own device attribute information includes the device type and serial number; The cloud server of the control center builds a twin real-time monitoring model based on the construction site devices. The twin real-time monitoring model calculates the first dynamic safety distance of each operator according to the current task being executed by the operator and their own status information, predicts the first trajectory of the operator, and calculates the second dynamic safety distance of each device according to the received status of each device itself and its own device attribute information, and predicts the second trajectory of the device. Based on the predicted first and second trajectories, corresponding control strategies and alarm information are generated according to the intersection degree of the first dynamic safety distance and the second dynamic safety distance. The intersection degree is as Figure 2 shown.

[0032] Further, the twin real-time monitoring model calculates the first dynamic safety distance of each operator according to the current task being executed by the operator and their own status information, and predicts the first trajectory of the operator, which specifically includes: D 安1 =a1*(d 绝1 +d 相1 ) where D 安1 is the first dynamic safety distance; a1 is the current task coefficient of the operator, indicating the corresponding degree between the current task being executed by the operator and the nearest on-site device. If the corresponding degree between the current task being executed by the operator and the nearest on-site device is the same, then a1 takes the value of 0, which means that the operator is the operator of the nearest on-site device and needs to approach or enter the on-site device for operation. If the corresponding degree is different, then a1 takes the value of 1, which means that the operator is not the operator of the nearest on-site device; among them, when the current task being executed by the operator is to operate the on-site device, it also includes the serial number of the device executing the current task. The control center determines the corresponding degree between the current task being executed by the operator and the nearest on-site device according to the device serial number and the serial number of the nearest on-site device; d 绝1 is the first absolute safety distance, which is a fixed value and is set with reference to historical accident experience values; d 相1 represents the first relative safety distance of the operator; the first relative safety distance is set outside the first absolute safety distance; d 相1 =d 相11 +d 相12 d 相11 =b1*d n1 +b2*dn2 + b3 * d n3 + … b n * d nn where d n1 , d n2 , d n3 , d nn are the safety distances corresponding to the types of work that the operator can perform; b1, b2, b3, b n are the relative coefficients corresponding to the types of work that the operator can perform. n takes positive integer values. Among them, the relative coefficient corresponding to the type of work that the operator can perform is determined according to the historical cumulative operation duration of the operator for each type of work. The higher the historical cumulative operation duration, the longer the operation duration of the operator for this type of work, and the greater the relative coefficient corresponding to this type of work. At this time, the relative safety distance d 相11 is closer to the safety distance that needs to be maintained for this type of work; among them, as the operation duration of the operator for each type of work changes, the relative safety distance d 相11 also changes dynamically accordingly; d 相12 = d 基准1 * (V 当前1 / V 标准1 ) where d 基准1 is the reference safety distance of the operator at the standard speed. This reference safety distance is set according to the reaction distance of the operator at the standard speed. The standard speed is the historical average moving speed of the operator; V 当前1 is the current moving speed of the operator; V 标准1 is the standard moving speed of the operator; The twin real-time monitoring model also predicts the first trajectory of the operator based on the obtained current moving speed, direction and current task of the operator.

[0033] Specifically, the twin real-time monitoring model sets up a deep learning model, extracts the historical moving data of the operator from the database, and predicts the first trajectory of the operator in combination with the current moving speed, direction and current task of the operator.

[0034] Furthermore, the twin real-time monitoring model calculates the second dynamic safety distance of each device and predicts the second trajectory of the device according to the received self-state and self-device attribute information of each device, specifically including: D 安2 = a2 * a3 * (d 绝2 + d 相2 ) where D 安2is the second dynamic safety distance; a2 is the current operating state of the device. If the device is currently in the on state, a2 takes the value of 1. If the device is currently in the off state, a2 takes the value of 0; a3 is the current task coefficient of the device, indicating the corresponding degree between the current task executed by the device and the person or on-site device closest in distance. If the corresponding degree between the current task executed by the device and the person or on-site device closest in distance is the same, a3 takes the value of 0, that is, it indicates that the device needs to approach the person or on-site device closest in distance for operation. If the corresponding degrees are different, a3 takes the value of 1; d 绝2 is the second absolute safety distance, which is a fixed value and is set according to the on-site device operation specifications and historical accident experience values; d 相2 represents the second relative safety distance of the device; the second relative safety distance is set outside the second absolute safety distance; d 相2 =d 基准2 *(V 当前2 / V 标准2 ) wherein, d 基准2 is the reference safety distance at the standard speed of the device, and this reference safety distance is set according to the historical braking distance of the device; V 当前2 is the current moving speed of the device; V 标准2 is the standard moving speed of the device; if the on-site device is a non-movable type device, then set V 当前2 / V 标准2 = 1.

[0035] The twin real-time monitoring model also predicts the second trajectory of the device based on the obtained current moving speed, direction of the device, and the current task being executed.

[0036] Specifically, the twin real-time monitoring model sets up a deep learning model, extracts the historical moving data of the device from the database, and predicts the second trajectory of the device in combination with the current moving speed, direction of the device, and the current task being executed.

[0037] Preferably, based on the predicted first trajectory and second trajectory, the twin real-time monitoring model generates corresponding control strategies and alarm information according to the intersection degree of the first dynamic safety distance and the second dynamic safety distance, which specifically includes: If the calculated first dynamic safety distance and the second dynamic safety distance are not both 0, then determine whether there is an intersection situation between the first dynamic safety distance and the second dynamic safety distance in the predicted first trajectory and second trajectory. If there is no situation where the dynamic safety distances produce an intersection, continue to monitor and output; If the first relative safety distance and the second relative safety distance produce an intersection, the control center outputs vibration warning prompts to the electronic work badge and the in-device display screen respectively; If the first relative safety distance intersects with the second absolute safety distance, or the first absolute safety distance intersects with the second relative safety distance, the control center outputs an audible and visual warning prompt to the electronic work card and the display screen inside the equipment, and outputs a deceleration signal to the corresponding equipment to implement intervention; If the first absolute safety distance intersects with the second absolute safety distance, the control center outputs an emergency alarm signal to the electronic work badge and the display screen inside the equipment, and outputs an emergency stop signal to the corresponding equipment.

[0038] Preferably, if the calculated first dynamic safety distance and the second dynamic safety distance are both 0, after monitoring the operator entering the corresponding on-site equipment, an electronic fence is set according to the minimum value of the first absolute safety distance and the second absolute safety distance, and the internal video acquisition module of the equipment is activated; if it is detected that the operator exceeds the range of the electronic fence, the control center outputs an audible and visual warning prompt to the electronic work badge, and outputs an emergency stop signal to the corresponding equipment.

[0039] Preferably, the video acquisition module collects the operator's motion information in real time and uploads it to the control center. The control center extracts the operator's posture characteristics and inputs them into the posture monitoring model built by the cloud server. The posture monitoring model compares it with the preset dangerous action characteristics and outputs the comparison result. If the similarity in the comparison result exceeds the preset threshold, the control center outputs an audible and visual warning prompt to the electronic work badge and outputs an emergency stop signal to the corresponding equipment.

[0040] Taking the process of a tower crane operator entering a tower crane as an example, when entering the construction site, the tower crane operator enters the current execution task as tower crane operation through the electronic work badge, and includes the specific tower crane equipment serial number, such as 10. In the process of approaching the tower crane, when the operator approaches other equipment, due to the different correspondence between the current execution task and other nearest on-site equipment, the twin real-time monitoring model calculates that the first dynamic safety distance is not 0. At this time, the control center generates corresponding control strategies and alarm information according to the intersection degree of the first dynamic safety distance and the second dynamic safety distance; when the tower crane operator approaches the tower crane with equipment serial number 10, due to the same correspondence between the current execution task and other nearest on-site equipment, the first dynamic safety distance is calculated to be 0. After monitoring the operator entering the corresponding on-site equipment, the control center sets an electronic fence according to the minimum value of the first absolute safety distance and the second absolute safety distance. The electronic fence is set based on the UWB unit of the device, and the internal video acquisition module of the device is linked to start; if it is detected that the operator exceeds the range of the electronic fence, the control center outputs an audio and visual warning prompt to the electronic work badge, and outputs an emergency stop signal to the corresponding device.

[0041] If the first dynamic safety distance and the second dynamic safety distance of two on-site devices are both 0, for example, when a forklift and a sand truck work together, the control center turns on the on-site video monitoring module, and combines the intersection degree of the first absolute safety distance and the second absolute safety distance of the two on-site devices to jointly generate corresponding control strategies and alarm information.

[0042] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, the storage medium can be a magnetic disk, an optical disk, a ROM, a RAM, etc.

[0043] The above-disclosed are only the preferred embodiments of the present invention, and of course, the scope of the rights of the present invention cannot be limited thereby. Therefore, equivalent changes made according to the claims of the present invention still fall within the scope covered by the present invention.

Claims

1. A construction safety monitoring method, characterized in that: When an operator enters the construction site, the identity information is verified by using an electronic work badge worn on the body. After the identity verification is passed, the electronic work badge uploads the current task and the operator's own status information to the control center; the operator's own status information includes the operator's current location, moving speed and direction; The on-site equipment acquisition module acquires the status of each equipment itself, combines the equipment status with the equipment's own attribute information and sends it to the control center; the equipment status includes the current operation status, the current task being executed, the current location, the equipment moving speed and direction of the equipment; the equipment's own attribute information includes the equipment type and serial number; The cloud server of the control center builds a twin real-time monitoring model according to the construction site equipment. The twin real-time monitoring model calculates the first dynamic safety distance of each operator and predicts the first trajectory of the operator based on the received current task and the operator's own status information of the operator, and calculates the second dynamic safety distance of each equipment and predicts the second trajectory of the equipment based on the received status of each equipment itself and the equipment's own attribute information. Based on the predicted first and second trajectories, corresponding control strategies and alarm information are generated according to the intersection degree of the first dynamic safety distance and the second dynamic safety distance.

2. The construction safety monitoring method according to claim 1, characterized in that: The specific process that the twin real-time monitoring model calculates the first dynamic safety distance of each operator and predicts the first trajectory of the operator based on the received current task and the operator's own status information of the operator includes: D 安1 = a1 * (d 绝1 + d 相1 ) Among them, D 安1 is the first dynamic safety distance; a1 is the current task coefficient of the operator, indicating the corresponding degree of the current task performed by the operator and the nearest on-site equipment; d 绝1 is the first absolute safety distance, which is a fixed value; d 相1 represents the first relative safety distance of the operator; the first relative safety distance is set outside the first absolute safety distance; d 相1 = d 相11 + d 相12 d 相11 =b1*d n1 +b2*d n2 +b3*d n3 +…b n *d nn Among them, d n1 , d n2 , d n3 , d nn are the safety distances corresponding to the types of work that can be operated by the operator; b1, b2, b3, b n are the relative coefficients corresponding to the types of work that can be operated by the operator, and n takes positive integer values; d 相12 =d 基准1 *(V 当前1 / V 标准1 ) Among them, d 基准1 is the reference safety distance at the standard speed of the operator; V 当前1 is the current moving speed of the operator; V 标准1 is the standard moving speed of the operator; The twin real-time monitoring model also predicts the first trajectory of the operator according to the obtained current moving speed and direction of the operator and the current task.

3. The construction safety monitoring method according to claim 1, characterized in that: The specific process that the twin real-time monitoring model calculates the second dynamic safety distance of each equipment and predicts the second trajectory of the equipment based on the received status of each equipment itself and the equipment's own attribute information includes: D 安2 = a2 * a3 * (d 绝2 + d 相2 ) Among them, D 安2 is the second dynamic safety distance; a2 is the current operation state of the device; a3 is the current task coefficient of the device, indicating the corresponding degree of the current task executed by the device to the nearest person or on-site device; d 绝2 is the second absolute safety distance, which is a fixed value; d 相2 represents the second relative safety distance of the device; the second relative safety distance is set outside the second absolute safety distance; d 相2 =d 基准2 *(V 当前2 / V 标准2 ) where d 基准2 is the reference safety distance at the standard speed of the device; V 当前2 is the current moving speed of the device; V 标准2 is the standard moving speed of the device; The twin real-time monitoring model also predicts the second trajectory of the equipment according to the obtained current moving speed and direction of the equipment and the current task.

4. The construction safety monitoring method according to claim 1, characterized in that: The specific process that the twin real-time monitoring model generates corresponding control strategies and alarm information according to the intersection degree of the first dynamic safety distance and the second dynamic safety distance based on the predicted first and second trajectories includes: If the calculated first dynamic safety distance and the second dynamic safety distance are not both 0, then it is judged whether there is an intersection situation between the first dynamic safety distance and the second dynamic safety distance in the predicted first trajectory and the second trajectory. If there is no intersection of the dynamic safety distances, continuous monitoring is output; If the first relative safety distance and the second relative safety distance intersect, the control center outputs vibration warning prompts to the electronic work badge and the in-device display screen respectively; If the first relative safety distance and the second absolute safety distance intersect, or the first absolute safety distance and the second relative safety distance intersect, the control center outputs audible and visual warning prompts to the electronic work badge and the in-device display screen respectively, and outputs a deceleration signal to the corresponding equipment for intervention; If the first absolute safety distance and the second absolute safety distance intersect, the control center outputs an emergency alarm signal to the electronic work badge and the in-device display screen respectively, and outputs an emergency stop signal to the corresponding equipment.

5. The construction safety monitoring method according to claim 4, wherein: If the calculated first dynamic safety distance and the second dynamic safety distance are both 0, after the operator is detected to have entered the corresponding on-site equipment, an electronic fence is set according to the minimum value of the first absolute safety distance and the second absolute safety distance, and the video acquisition module inside the equipment is started in conjunction; If it is detected that the operator exceeds the range of the electronic fence, the control center will output an audible and visual warning prompt to the electronic work badge and an emergency stop signal to the corresponding equipment.

6. The construction safety monitoring method according to claim 5, characterized in that: The video acquisition module collects the operator's action information in real time and uploads it to the control center. The control center extracts the operator's posture features and inputs them into the posture monitoring model built by the cloud server. The posture monitoring model compares it with the preset dangerous action features and outputs the comparison result. If the similarity in the comparison result exceeds the preset threshold, the control center outputs an audible and visual warning prompt to the electronic work badge and outputs an emergency stop signal to the corresponding equipment.

7. A construction safety monitoring system, characterized in that: The construction safety monitoring system includes electronic work badges, on-site equipment, and a control center; The electronic badge includes a key unit, an identity authentication unit, an inertia detection unit, a UWB unit, an ink screen, a communication unit, an audible and visual alarm unit and a main control MCU; when an operator enters a construction site, the identity authentication unit passes the operator's identity authentication, and the inertia detection unit and the UWB unit upload the detected operator's own status information to the control center through the communication unit after pre-processing by the main control MCU; the main control MCU also receives the current execution task input by the operator through the key unit and uploads it to the control center through the communication unit; The field device includes an inertia detection unit, a UWB unit, a communication unit, an audible and visual alarm unit and a microprocessor; the inertia detection unit and the UWB unit send the detected state information of the field device to the microprocessor, and the microprocessor obtains its own device attribute information, combines it with the field device's own state information, and uploads it to the control center through the communication unit; The control center includes a cloud server, which contains a twin real-time monitoring model built according to the construction site equipment. The twin real-time monitoring model calculates the first dynamic safety distance of each operator based on the current task performed by the operator and its own status information, and predicts the first trajectory of the operator. It also calculates the second dynamic safety distance of each device based on the received status of each device and its own device attribute information, and predicts the second trajectory of the device. Based on the predicted first trajectory and second trajectory, corresponding control strategies and alarm information are generated according to the degree of intersection of the first dynamic safety distance and the second dynamic safety distance.

8. A construction safety monitoring system according to claim 7, characterized in that: The twin real-time monitoring model generates corresponding control strategies and alarm information based on the predicted first trajectory and the second trajectory according to the intersection degree of the first dynamic safety distance and the second dynamic safety distance, specifically including: If the calculated first dynamic safety distance and the calculated second dynamic safety distance are not 0 at the same time, it is determined whether the first dynamic safety distance and the second dynamic safety distance in the predicted first trajectory and the second trajectory intersect, and if there is no intersection of the dynamic safety distances, the output is continuously monitored; If the first relative safety distance intersects with the second relative safety distance, the control center outputs a vibration warning prompt to the electronic work card and the display screen inside the equipment respectively; If the first relative safety distance intersects with the second absolute safety distance, or the first absolute safety distance intersects with the second relative safety distance, the control center outputs an audible and visual warning prompt to the electronic work card and the display screen inside the equipment, and outputs a deceleration signal to the corresponding equipment to implement intervention; If the first absolute safety distance intersects with the second absolute safety distance, the control center outputs an emergency alarm signal to the electronic work badge and the display screen inside the equipment, and outputs an emergency stop signal to the corresponding equipment.

9. The construction safety monitoring system according to claim 8, characterized in that: A video acquisition module is also provided inside the on-site equipment; if the calculated first dynamic safety distance and the second dynamic safety distance are both 0, then after monitoring the operator entering the corresponding on-site equipment, the control center sets an electronic fence according to the minimum value of the first absolute safety distance and the second absolute safety distance, and activates the video acquisition module inside the equipment in conjunction; if it is detected that the operator exceeds the range of the electronic fence, the control center outputs an audible and visual warning prompt to the electronic work badge, and outputs an emergency stop signal to the corresponding equipment.

10. A construction safety monitoring system according to claim 9, characterized in that: The cloud server is equipped with a posture monitoring model. The video acquisition module collects the operator's action information in real time and uploads it to the control center. The control center extracts the operator's posture features and inputs them into the posture monitoring model. The posture monitoring model compares them with the preset dangerous action features and outputs the comparison result. If the similarity in the comparison result exceeds the preset threshold, the control center outputs an audible and visual warning prompt to the electronic work badge and outputs an emergency stop signal to the corresponding equipment.

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