Construction safety monitoring method and system

Abstract

The present invention relates to the field of safety monitoring technology, and discloses a construction safety monitoring method and system. The method and system can automatically calculate the dynamic safety distance based on information such as the current tasks performed by the operator and the equipment, the equipment's own status, and set a multi-level early warning mode based on the dynamic safety distance, thereby improving the alarm accuracy, reducing false alarms, alleviating the burden on monitoring personnel, and improving the safety of the monitoring system. The dynamic safety distance is also set according to the type of work reused by the operator, and can be dynamically adjusted according to historical operation data to avoid false alarms, improve work efficiency, and ensure production progress. The control center identifies whether the operator is an equipment operator based on the calculated dynamic safety distance. When the operator is identified as an equipment operator, the dynamic safety distance is converted into an electronic fence for monitoring, thereby ensuring the operator's safe construction in all aspects.

Description

Technical Field

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

[0002] Construction safety is a top priority 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 construction. Currently, the most common monitoring methods for construction safety use fixed-distance or video monitoring. When a person approaches a dangerous area, the corresponding alarm module is activated to sound an alarm. However, since each piece of equipment has a different safety distance relative to different types of workers or equipment, setting a fixed safety distance can cause the monitoring system to generate a large number of false alarms, distracting monitoring personnel and reducing the effectiveness of safety monitoring. Furthermore, when a fixed monitoring distance is set for moving people or equipment, the higher relative speeds can create 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 proximity of construction personnel. It does not consider the problem of changes in monitoring distance due to the movement of personnel or equipment or switching of work types, which will create safety hazards.

[0004] Furthermore, due to labor costs, most existing operators are multitasking. When performing different tasks, their safety distances from the equipment vary. Simply setting a fixed safety distance based on the maximum safety distance for monitoring results in inconvenience when switching between tasks, leading to frequent false alarms and a large amount of false alarm data, which can confuse judgment and, over time, lead to safety accidents. Furthermore, false alarms lead to safety measures being taken, delaying production progress. Furthermore, existing monitoring systems cannot distinguish between the current equipment operator and the current operator.

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

[0006] The purpose of the present invention is to overcome the shortcomings of the existing technology and propose a construction safety monitoring method and system, which can automatically calculate the dynamic safety distance based on information such as the current tasks performed by the operating workers and the equipment, its own status, etc., and set a multi-level early warning mode according to the dynamic safety distance, thereby improving the alarm accuracy, reducing false alarms, reducing the burden on monitoring personnel, and improving the safety of the monitoring system.

[0007] The present invention 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. After the identity verification is passed, the electronic badge uploads the operator's current task and status information to a control center; the status information includes the operator's current location, movement speed and direction;

[0008] The on-site device acquisition module collects the status of each device, combines the status with its own device attribute information, and sends it to the control center; the device status includes the device's current operating status, current task, current location, device movement speed and direction; the device attribute information includes the device type and serial number;

[0009] The cloud server of the control center builds a twin real-time monitoring model based on the equipment on the construction site. The twin real-time monitoring model calculates the first dynamic safety distance of each operator based on the current task and its own status information received from the operator and predicts the first trajectory of the operator. It also calculates the second dynamic safety distance of each device based on the received status and attribute information of each device and predicts the second trajectory of the device. Based on the predicted first and second trajectories, the corresponding control strategy and alarm information are generated according to the degree of intersection of the first dynamic safety distance and the second dynamic safety distance.

[0010] 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 operator's current task and status information, specifically including:

[0011] D 安1 =a1*(d 绝1 +d 相1 )

[0012] Among them, D 安1 is the first dynamic safety distance; a1 is the operator's current task coefficient, which indicates the degree of correspondence between the operator's current task and the nearest on-site equipment; d 绝1 is the first absolute safety distance, which is a fixed value; d 相1 Indicates the first relative safety distance for operators; the first relative safety distance is set outside the first absolute safety distance;

[0013] d 相1 =d 相11 +d 相12

[0014] d 相11 =b1*d n1 +b2*d n2 +b3*d n3 +…b n *dnn

[0015] Among them, d n1 d n2 d n3 d nn b1, b2, b3, b n is the relative coefficient corresponding to the type of work that the operator can operate, and n is a positive integer;

[0016] d 相12 =d 基准1 *(V 当前1 / V 标准1 )

[0017] Among them, d 基准1 V is the reference safety distance for operators at standard speed; 当前1 V is the current moving speed of the operator; 标准1 Standard moving speed for operators;

[0018] The twin real-time monitoring model also predicts the first trajectory of the operator based on the acquired current movement speed and direction of the operator and the current task being performed.

[0019] Preferably, the twin real-time monitoring model calculates the second dynamic safety distance of each device and predicts the second trajectory of the device based on the received state and attribute information of each device, specifically including:

[0020] D 安2 =a2*a3*(d 绝2 +d 相2 )

[0021] Among them, D 安2 is the second dynamic safety distance; a2 is the current operating state of the device; a3 is the current task coefficient of the device, which indicates the degree of correspondence between the current task of the device and the nearest person or on-site equipment; d 绝2 is the second absolute safety distance, which is a fixed value; d 相2 Indicates the second relative safety distance of the equipment; the second relative safety distance is set outside the second absolute safety distance;

[0022] d 相2 =d 基准2 *(V 当前2 / V 标准2 )

[0023] Among them, d 基准2 V is the reference safety distance at the standard speed of the equipment; 当前2 V is the current moving speed of the device; 标准2 is the standard moving speed of the device;

[0024] The twin real-time monitoring model also predicts the second trajectory of the device based on the acquired current moving speed and direction of the device and the currently executed task.

[0025] Preferably, the twin real-time monitoring model generates corresponding control strategies and alarm information based on the predicted first trajectory and the second trajectory and according to the degree of intersection of the first dynamic safety distance and the second dynamic safety distance, specifically including:

[0026] If the calculated first dynamic safety distance and the second dynamic safety distance are not both zero, determine whether the first dynamic safety distance and the second dynamic safety distance in the predicted first trajectory and the second trajectory intersect. If no dynamic safety distances intersect, continue monitoring and output.

[0027] 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;

[0028] If the first relative safety distance intersects with the second absolute safety distance, or if 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;

[0029] 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.

[0030] 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 the operator is detected to be beyond 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.

[0031] Preferably, the video acquisition module collects the operator's movement 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 audio and light warning prompt to the electronic work badge and outputs an emergency stop signal to the corresponding equipment.

[0032] 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;

[0033] The electronic badge includes a key unit, an identity verification unit, an inertia detection unit, a UWB unit, an ink screen, a communication unit, an audio and visual alarm unit, and a main control MCU. When an operator enters a construction site, the identity verification unit passes the operator's identity verification. The inertia detection unit and the UWB unit then pre-process the operator's status information, which is then uploaded to the control center via the communication unit. 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 via the communication unit.

[0034] 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 field device status information to the microprocessor. The microprocessor obtains its own device attribute information, combines it with the field device status information, and uploads it to the control center via the communication unit.

[0035] The control center includes a cloud server, which contains a twin real-time monitoring model built based on 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 and attribute information of each device, 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 degree of intersection between the first dynamic safety distance and the second dynamic safety distance.

[0036] Furthermore, the twin real-time monitoring model generates corresponding control strategies and alarm information based on the predicted first trajectory and the second trajectory and according to the degree of intersection of the first dynamic safety distance and the second dynamic safety distance, specifically including:

[0037] If the calculated first dynamic safety distance and the second dynamic safety distance are not both zero, determine whether the first dynamic safety distance and the second dynamic safety distance in the predicted first trajectory and the second trajectory intersect. If no dynamic safety distances intersect, continue monitoring and output.

[0038] 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;

[0039] If the first relative safety distance intersects with the second absolute safety distance, or if 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;

[0040] 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.

[0041] 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 operator; 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.

[0042] Furthermore, the cloud server is equipped with a posture monitoring model, and the video acquisition module collects the operator's movement 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 movement 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.

[0043] The beneficial effects of the present invention are:

[0044] 1. Automatically calculate the dynamic safety distance based on the operator, the current task of the equipment, its own status and other information, and set a multi-level warning mode based on the dynamic safety distance to improve the alarm accuracy, reduce false alarms, reduce the burden on monitoring personnel, and improve the security of the monitoring system;

[0045] 2. Dynamic safety distance is also set according to the type of work performed by the operator and can be dynamically adjusted based on historical operation data to avoid false alarms, improve work efficiency, and ensure production progress;

[0046] 3. The control center identifies whether the person is an equipment operator based on the calculated dynamic safety distance. If the person is identified as an equipment operator, the dynamic safety distance is converted into an electronic fence for monitoring to ensure the operator's safe construction in all aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a schematic diagram of the construction safety monitoring system principle;

[0048] Figure 2 It is a schematic diagram of the dynamic safety distance between operators and equipment. DETAILED DESCRIPTION

[0049] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention is further described in detail below with reference to the accompanying drawings.

[0050] Example 1

[0051] like Figure 1 As shown, the present invention provides a construction safety monitoring system, which includes an electronic work badge, on-site equipment, and a control center;

[0052] The electronic badge includes a key unit, an identity verification unit, an inertia detection unit, a UWB unit, an ink screen, a communication unit, an audio and visual alarm unit, and a main control MCU. When an operator enters a construction site, the identity verification unit passes the operator's identity verification. The inertia detection unit and the UWB unit then pre-process the operator's status information, which is then uploaded to the control center via the communication unit. 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 via the communication unit.

[0053] 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 field device status information to the microprocessor. The microprocessor obtains its own device attribute information, combines it with the field device status information, and uploads it to the control center via the communication unit.

[0054] The control center includes a cloud server, which contains a twin real-time monitoring model built based on 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 and attribute information of each device, 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 degree of intersection between the first dynamic safety distance and the second dynamic safety distance.

[0055] Specifically, when entering a construction site, an operator first uses the identity verification unit on their electronic badge to verify their identity. If the operator's identity matches the badge, and the badge contains the operator's current task, the main control MCU generates a verification pass signal and sends it to the control center. The control center then sends an unlock signal to the construction site access control system, allowing the operator to enter. Otherwise, the operator is not allowed to enter the construction site. The identity verification unit can be fingerprint, facial, or pupil recognition.

[0056] Furthermore, 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 operator's current task and status information, specifically including:

[0057] D 安1 =a1*(d 绝1 +d 相1 )

[0058] Among them, D 安1 is the first dynamic safety distance; a1 is the operator's current task coefficient, which indicates the degree of correspondence between the operator's current task and the nearest on-site equipment. If the operator's current task and the nearest on-site equipment have the same degree of correspondence, a1 takes the value of 0, indicating that the operator is the operator of the nearest on-site equipment and needs to approach or enter the on-site equipment to operate. If the degree of correspondence is different, a1 takes the value of 1, indicating that the operator is not the operator of the nearest on-site equipment.

[0059] d 绝1 The first absolute safety distance is a fixed value, which is set based on historical accident experience.

[0060] d 相1 Indicates the first relative safety distance for operators; the first relative safety distance is set outside the first absolute safety distance;

[0061] d 相1 =d 相11 +d 相12

[0062] d 相11 =b1*d n1 +b2*d n2 +b3*d n3 +…b n *d nn

[0063] Among them, d n1 d n2 d n3 d nn b1, b2, b3, b n is the relative coefficient corresponding to the type of work that the operator can operate, and n is a positive integer. The relative coefficient corresponding to the type of work that can be operated is determined according to the operator's historical cumulative operating time for each type of work. The higher the historical cumulative operating time, the longer the operator's operating time for the type of work, and the larger the relative coefficient corresponding to the type of work. At this time, the relative safety distance d 相11The closer it is to the safe distance that the operator needs to maintain; as the operator's operating time for each operating type changes, the relative safe distance d 相11 Dynamic adjustments and changes will also be made accordingly;

[0064] d 相12 =d 基准1 *(V 当前1 / V 标准1 )

[0065] Among them, d 基准1 V is the reference safety distance at the standard speed of the operator, which is set according to the reaction distance of the operator at the standard speed. The standard speed is the historical average movement speed of the operator; 当前1 V is the current moving speed of the operator; 标准1 Standard moving speed for operators;

[0066] The twin real-time monitoring model also predicts the first trajectory of the operator based on the acquired current movement speed and direction of the operator and the current task being performed.

[0067] Specifically, the twin real-time monitoring model sets up a deep learning model, extracts the operator's historical movement data from the database, and predicts the operator's first trajectory based on the operator's current movement speed and direction and the current task being performed.

[0068] Furthermore, the twin real-time monitoring model calculates the second dynamic safety distance of each device based on the received state and attribute information of each device and predicts the second trajectory of the device, specifically including:

[0069] D 安2 =a2*a3*(d 绝2 +d 相2 )

[0070] Among them, 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 a value of 1; if the device is currently in the off state, a2 takes a value of 0;

[0071] a3 is the device's current task coefficient, which indicates the degree of correspondence between the device's current task and the nearest person or on-site device. If the device's current task and the nearest person or on-site device have the same degree of correspondence, a3 takes the value of 0, indicating that the device needs to approach the nearest person or on-site device to operate. If the correspondence is different, a3 takes the value of 1.

[0072] d 绝2 The second absolute safety distance is a fixed value set according to the on-site equipment operating specifications and historical accident experience values;

[0073] d 相2 Indicates the second relative safety distance of the equipment; the second relative safety distance is set outside the second absolute safety distance;

[0074] d 相2 =d 基准2 *(V 当前2 / V 标准2 )

[0075] Among them, d 基准2 V is the reference safety distance at the standard speed of the equipment, which is set according to the historical braking distance of the equipment; 当前2 V is the current moving speed of the device; 标准2 is the standard moving speed of the equipment; if the on-site equipment is an immovable type of equipment, set V 当前2 / V 标准2 =1.

[0076] The twin real-time monitoring model also predicts the second trajectory of the device based on the acquired current moving speed and direction of the device and the currently executed task.

[0077] Specifically, the twin real-time monitoring model sets up a deep learning model, extracts the historical movement data of the device from the database, and predicts the second trajectory of the device based on the current movement speed and direction of the device and the currently executed task.

[0078] Furthermore, the twin real-time monitoring model generates corresponding control strategies and alarm information based on the predicted first trajectory and the second trajectory and according to the degree of intersection of the first dynamic safety distance and the second dynamic safety distance, specifically including:

[0079] If the calculated first dynamic safety distance and the second dynamic safety distance are not both zero, determine whether the first dynamic safety distance and the second dynamic safety distance in the predicted first trajectory and the second trajectory intersect. If no dynamic safety distances intersect, continue monitoring and output.

[0080] 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;

[0081] If the first relative safety distance intersects with the second absolute safety distance, or if 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;

[0082] 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.

[0083] 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 operator; 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.

[0084] Furthermore, the cloud server is equipped with a posture monitoring model, and the video acquisition module collects the operator's movement 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 movement 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.

[0085] Example 2

[0086] 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. After the identity verification is passed, the electronic badge uploads the operator's current task and status information to a control center; the status information includes the operator's current location, movement speed and direction;

[0087] The on-site device acquisition module collects the status of each device, combines the status with its own device attribute information, and sends it to the control center; the device status includes the device's current operating status, current task, current location, device movement speed and direction; the device attribute information includes the device type and serial number;

[0088] The cloud server of the control center builds a twin real-time monitoring model based on the equipment on the construction site. The twin real-time monitoring model calculates the first dynamic safety distance of each operator based on the current task and status information of the operator and predicts the first trajectory of the operator. It also calculates the second dynamic safety distance of each device based on the status and attribute information of each device and predicts the second trajectory of the device. Based on the predicted first and second trajectories, the corresponding control strategy and alarm information are generated according to the degree of intersection between the first dynamic safety distance and the second dynamic safety distance. The degree of intersection is as follows: Figure 2 shown.

[0089] Furthermore, 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 operator's current task and status information, specifically including:

[0090] D 安1 =a1*(d 绝1 +d 相1 )

[0091] Among them, D 安1 is the first dynamic safety distance; a1 is the operator's current task coefficient, which indicates the degree of correspondence between the operator's current task and the nearest on-site equipment. If the operator's current task and the nearest on-site equipment have the same degree of correspondence, a1 takes the value of 0, indicating that the operator is the operator of the nearest on-site equipment and needs to approach or enter the on-site equipment to operate. If the degree of correspondence is different, a1 takes the value of 1, indicating that the operator is not the operator of the nearest on-site equipment. When the operator's current task is to operate an on-site equipment, the device serial number of the current task is also included. The control center determines the degree of correspondence between the operator's current task and the nearest on-site equipment based on the device serial number and the serial number of the nearest on-site equipment.

[0092] d 绝1 The first absolute safety distance is a fixed value, which is set based on historical accident experience.

[0093] d 相1 Indicates the first relative safety distance for operators; the first relative safety distance is set outside the first absolute safety distance;

[0094] d 相1 =d 相11 +d 相12

[0095] d 相11 =b1*d n1 +b2*d n2 +b3*d n3 +…b n *d nn

[0096] Among them, d n1 d n2 d n3 d nn b1, b2, b3, b nis the relative coefficient corresponding to the type of work that the operator can operate, and n is a positive integer. The relative coefficient corresponding to the type of work that can be operated is determined according to the operator's historical cumulative operating time for each type of work. The higher the historical cumulative operating time, the longer the operator's operating time for the type of work, and the larger the relative coefficient corresponding to the type of work. At this time, the relative safety distance d 相11 The closer it is to the safe distance that the operator needs to maintain; as the operator's operating time for each operating type changes, the relative safe distance d 相11 Dynamic adjustments and changes will also be made accordingly;

[0097] d 相12 =d 基准1 *(V 当前1 / V 标准1 )

[0098] Among them, d 基准1 V is the reference safety distance at the standard speed of the operator, which is set according to the reaction distance of the operator at the standard speed. The standard speed is the historical average movement speed of the operator; 当前1 V is the current moving speed of the operator; 标准1 Standard moving speed for operators;

[0099] The twin real-time monitoring model also predicts the first trajectory of the operator based on the acquired current movement speed and direction of the operator and the current task being performed.

[0100] Specifically, the twin real-time monitoring model sets up a deep learning model, extracts the operator's historical movement data from the database, and predicts the operator's first trajectory based on the operator's current movement speed and direction and the current task being performed.

[0101] Furthermore, the twin real-time monitoring model calculates the second dynamic safety distance of each device based on the received state and attribute information of each device and predicts the second trajectory of the device, specifically including:

[0102] D 安2 =a2*a3*(d 绝2 +d 相2 )

[0103] Among them, 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 a value of 1; if the device is currently in the off state, a2 takes a value of 0;

[0104] a3 is the device's current task coefficient, which indicates the degree of correspondence between the device's current task and the nearest person or on-site device. If the device's current task and the nearest person or on-site device have the same degree of correspondence, a3 takes the value of 0, indicating that the device needs to approach the nearest person or on-site device to operate. If the correspondence is different, a3 takes the value of 1.

[0105] d 绝2 The second absolute safety distance is a fixed value set according to the on-site equipment operating specifications and historical accident experience values;

[0106] d 相2 Indicates the second relative safety distance of the equipment; the second relative safety distance is set outside the second absolute safety distance;

[0107] d 相2 =d 基准2 *(V 当前2 / V 标准2 )

[0108] Among them, d 基准2 V is the reference safety distance at the standard speed of the equipment, which is set according to the historical braking distance of the equipment; 当前2 V is the current moving speed of the device; 标准2 is the standard moving speed of the equipment; if the on-site equipment is an immovable type of equipment, set V 当前2 / V 标准2 =1.

[0109] The twin real-time monitoring model also predicts the second trajectory of the device based on the acquired current moving speed and direction of the device and the currently executed task.

[0110] Specifically, the twin real-time monitoring model sets up a deep learning model, extracts the historical movement data of the device from the database, and predicts the second trajectory of the device based on the current movement speed and direction of the device and the currently executed task.

[0111] Preferably, the twin real-time monitoring model generates corresponding control strategies and alarm information based on the predicted first trajectory and the second trajectory and according to the degree of intersection of the first dynamic safety distance and the second dynamic safety distance, specifically including:

[0112] If the calculated first dynamic safety distance and the second dynamic safety distance are not both zero, determine whether the first dynamic safety distance and the second dynamic safety distance in the predicted first trajectory and the second trajectory intersect. If no dynamic safety distances intersect, continue monitoring and output.

[0113] 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;

[0114] If the first relative safety distance intersects with the second absolute safety distance, or if 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;

[0115] 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.

[0116] 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 the operator is detected to be beyond 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.

[0117] Preferably, the video acquisition module collects the operator's movement 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 audio and light warning prompt to the electronic work badge and outputs an emergency stop signal to the corresponding equipment.

[0118] 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 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 task and the 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 based on 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 task and the 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 activated in conjunction; if the operator is detected to exceed 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.

[0119] If the calculated first dynamic safety distance and second dynamic safety distance of two on-site devices are both 0, for example, a forklift and a sand truck are working together, the control center will turn on the on-site video monitoring module and jointly generate corresponding control strategies and alarm information based on the degree of intersection of the first absolute safety distance and the second absolute safety distance of the two on-site devices.

[0120] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing related hardware through a computer program. The program can be stored in a computer-readable storage medium, and when executed, the program can include the processes in the above-described method embodiments. The storage medium can be a magnetic disk, an optical disk, a ROM, a RAM, or the like.

[0121] The above disclosure is merely a preferred embodiment of the present invention and certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A construction safety monitoring method, characterized by: When entering a construction site, operators use an electronic badge they wear to verify their identity. After verification, the badge uploads information about the operator's current task and status to the control center. This status information includes the operator's current location, movement speed, and direction. The on-site device acquisition module collects the status of each device, combines the status with its own device attribute information, and sends it to the control center; the device status includes the device's current operating status, current task, current location, device movement speed and direction; the device attribute information includes the device type and serial number; The control center's cloud server builds a twin real-time monitoring model based on the construction site equipment. The twin real-time monitoring model calculates the first dynamic safety distance of each operator based on the operator's current task and its own status information, and predicts the operator's first trajectory. It also calculates the second dynamic safety distance of each device based on the received status and attribute information of each device, and predicts the device's second trajectory. Based on the predicted first and second trajectories, the model generates corresponding control strategies and alarm information according to the degree of intersection between the first and second dynamic safety distances. Calculating the first dynamic safety distance of each operator and predicting the first trajectory of the operator specifically 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 operator's current task coefficient, which indicates the degree of correspondence between the operator's current task and the nearest on-site equipment; d 绝1 is the first absolute safety distance, which is a fixed value; d 相1 Indicates the first relative safety distance for operators; 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 b1, b2, b3, b n is the relative coefficient corresponding to the type of work that the operator can operate, and n is a positive integer; d 相12 =d 基准1 *(V 当前1 / V 标准1 ) Among them, d 基准1 V is the reference safety distance for operators at standard speed; 当前1 V is the current moving speed of the operator; 标准1 The standard moving speed for operators; The twin real-time monitoring model also predicts the first trajectory of the operator based on the acquired current movement speed and direction of the operator and the current task being performed; Calculating the second dynamic safety distance of each device and predicting the second trajectory of the device specifically includes: <h2 style=";text-align:left;direction:ltr">D<h2 style=";text-align:left;direction:ltr"> 安2 <h2 style=";text-align:left;direction:ltr"> =a2*a3*(d<h2 style=";text-align:left;direction:ltr"> 绝2 <h2 style=";text-align:left;direction:ltr"> +d<h2 style=";text-align:left;direction:ltr"> 相2 <h2 style=";text-align:left;direction:ltr"> ) Among them, D 安2 is the second dynamic safety distance; a2 is the current operating state of the device; a3 is the current task coefficient of the device, which indicates the degree of correspondence between the current task of the device and the nearest person or on-site equipment; d 绝2 is the second absolute safety distance, which is a fixed value; d 相2 Indicates the second relative safety distance of the equipment; 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 ) Among them, d 基准2 V is the reference safety distance at the standard speed of the equipment; 当前2 V is the current moving speed of the device; 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 acquired current moving speed and direction of the device and the currently executed task.

2. A construction safety monitoring method according to claim 1, characterized in that: The twin real-time monitoring model generates corresponding control strategies and alarm information based on the predicted first and second trajectories and the degree of intersection between the first dynamic safety distance and the second dynamic safety distance, specifically including: If the calculated first dynamic safety distance and the second dynamic safety distance are not both zero, determine whether the first dynamic safety distance and the second dynamic safety distance in the predicted first trajectory and the second trajectory intersect. If no dynamic safety distances intersect, continue monitoring and output. 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 if 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.

3. A construction safety monitoring method according to claim 2, characterized in that: If the calculated first dynamic safety distance and the second dynamic safety distance are both 0, after detecting that the operator has 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 activated in conjunction; If it is detected that the operator has exceeded 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.

4. A construction safety monitoring method according to claim 3, characterized in that: The video acquisition module collects the operator's movement 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 movement 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.

5. A construction safety monitoring system for implementing the construction safety monitoring method according to claim 1, 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 verification unit, an inertia detection unit, a UWB unit, an ink screen, a communication unit, an audio and visual alarm unit, and a main control MCU. When an operator enters a construction site, the identity verification unit passes the operator's identity verification. The inertia detection unit and the UWB unit then pre-process the operator's status information, which is then uploaded to the control center via the communication unit. 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 via 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 field device status information to the microprocessor. The microprocessor obtains its own device attribute information, combines it with the field device status information, and uploads it to the control center via the communication unit. The control center includes a cloud server, which contains a twin real-time monitoring model built based on 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 and attribute information of each device, 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 degree of intersection between the first dynamic safety distance and the second dynamic safety distance.

6. A construction safety monitoring system according to claim 5, characterized in that: The twin real-time monitoring model generates corresponding control strategies and alarm information based on the predicted first and second trajectories and the degree of intersection between the first dynamic safety distance and the second dynamic safety distance, specifically including: If the calculated first dynamic safety distance and the second dynamic safety distance are not both zero, determine whether the first dynamic safety distance and the second dynamic safety distance in the predicted first trajectory and the second trajectory intersect. If no dynamic safety distances intersect, continue monitoring and output. 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 if 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.

7. A construction safety monitoring system according to claim 6, 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.

8. A construction safety monitoring system according to claim 7, characterized in that: The cloud server is equipped with a posture monitoring model. The video acquisition module collects the operator's movement 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 them with the preset dangerous movement 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.

Images