An early warning system for building safety monitoring

By designing an early warning system for building safety monitoring on construction sites, the problems of tower crane safety risks, dust and fire evacuation are solved, effective safety monitoring and personnel evacuation guidance are achieved, and construction safety is significantly improved.

CN119785559AInactive Publication Date: 2025-04-08NANJING YIZEXUAN GARDEN ENGINEERING CO LTD
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Patent Information

Application Number
CN202411663827.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-20
Publication Date
2025-04-08
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

On construction sites, when tower cranes have safety risks, how to promptly issue alarms to remind people to evacuate and conduct effective evacuation guidance in the event of dust and fire.

Method used

Design an early warning system for building safety monitoring, including a dust removal module, a fire evacuation guidance module and a safety monitoring and early warning module. The dust removal module is monitored and reduced by radar speed measuring instrument, shaft weight measuring instrument, dust concentration detector and anemometer; the fire evacuation guidance module uses infrared sensors and GIS technology to monitor and guide personnel to evacuate; the safety monitoring and early warning module reminds personnel to pay attention to safe evacuation through a buzzer alarm.

Benefits of technology

It effectively reduces the dust situation at construction sites, improves the efficiency and safety of fire evacuation, and ensures the safety of life and property of construction workers.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to the field of building safety, and discloses an early warning system for building safety monitoring, including a dust removal module, a fire evacuation guidance module, and a safety monitoring and early warning module. The dust removal module is arranged on a construction site, and is used to collect the dust on the construction site. The fire evacuation guidance module is used to capture the infrared radiation emitted by the body of a person. It is used to obtain the information of the change of the moving position of the person after the capture is successful. It is used to broadcast the evacuation instructions to notify the personnel in the construction site to evacuate immediately. It is used to guide the evacuation route of the personnel. The safety monitoring and early warning module is arranged on the construction site, and is used to issue a buzzer alarm to remind the personnel to pay attention to safe evacuation. The present invention, by setting a dust removal module, a fire evacuation guidance module, and a safety monitoring and early warning module, issues a buzzer alarm to remind the personnel to evacuate, collects the dust on the construction site, and guides the personnel to evacuate the fire when it is detected that there is a safety risk in the tower crane on the construction site.
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Description

Technical Field

[0001] The invention relates to the field of building safety, and in particular to an early warning system for building safety monitoring. Background Art

[0002] With the acceleration of urbanization, the number of construction sites is increasing, and construction safety issues are becoming increasingly prominent. Construction sites are often accompanied by a large amount of dust, potential fire risks, and operating risks of large equipment such as tower cranes and cranes. These factors seriously threaten the life safety and physical health of construction workers, and also have adverse effects on the surrounding environment. On construction sites, vehicle driving, material stacking, construction operations, etc. will generate a large amount of dust, which not only pollutes the environment, but also may damage the respiratory system of construction workers and even cause occupational diseases such as pneumoconiosis. Moreover, flammable and explosive materials are often stacked on construction sites. Once a fire occurs, the fire spreads rapidly, and it is difficult to evacuate personnel, which can easily cause major casualties and property losses. In addition, large equipment such as tower cranes and cranes on construction sites may have safety hazards during operation. Once an accident occurs, it will cause casualties. Therefore, an early warning system for building safety monitoring is proposed. Summary of the invention

[0003] The present invention aims to solve the technical problem of how to send out a buzzer alarm to remind personnel to evacuate, collect dust from the construction site and guide personnel to evacuate during a fire when a tower crane on the construction site is detected to pose a safety risk, thereby providing an early warning system for building safety monitoring.

[0004] The technical solution adopted by the present invention to solve its technical problems is: an early warning system for building safety monitoring, including a dust removal module, a fire evacuation guidance module, and a safety monitoring and early warning module. The dust removal module is arranged on the construction site to collect the dust on the construction site. The fire evacuation guidance module is used to capture the infrared radiation emitted by the body of a person. It is used to obtain the information of the change of the moving position of the person after the capture is successful. It is used to broadcast the evacuation instructions to notify the personnel in the construction site to evacuate immediately. It is used to guide the evacuation route of the personnel. The safety monitoring and early warning module is arranged on the construction site to send out a buzzer alarm to remind the personnel to pay attention to safe evacuation.

[0005] Through the setting of the dust removal module, dust can be efficiently collected and processed, the concentration of particulate matter in the air can be significantly reduced, the dust situation on the construction site can be effectively reduced, the surrounding air quality can be improved, the health of workers and surrounding residents can be protected, and the work efficiency of workers can be improved. The fire evacuation guidance module uses infrared radiation capture technology to quickly identify and track the location of personnel in the early stage of the fire, providing valuable time for subsequent evacuation work and broadcasting evacuation instructions in a timely manner, greatly shortening the emergency response time, ensuring that personnel on the construction site receive evacuation notices as soon as possible, reducing panic and confusion. At the same time, it guides personnel to the evacuation route, improves evacuation efficiency, and reduces the risk of casualties. The safety monitoring and early warning module monitors the safety status of the construction site in real time, provides all-weather safety protection for the site, effectively prevents accidents, and greatly enhances safety protection.

[0006] Further, the dust removal module includes a first microprocessor, a radar speedometer, an axle load meter, a dust concentration detector, an anemometer, and a dust collector. The radar speedometer is arranged at the entrance of the construction site road, and is used to detect the speed of the vehicle when the vehicle enters the construction site, and send it to the first microprocessor. The axle load meter is arranged at the entrance of the construction site road, and is used to measure the vehicle load when the vehicle enters the construction site, and send it to the first microprocessor. The dust concentration detector is arranged on the construction site road, and is used to monitor the dust amount on the road surface, and send it to the first microprocessor. The anemometer is arranged on the construction site, and is used to detect the environmental wind speed and dust-raising wind speed of the construction site, and send it to the first microprocessor. The first microprocessor is used to calculate the construction environment impact index through the vehicle speed, vehicle load, road surface dust amount, construction site environmental wind speed, and dust-raising wind speed after receiving the vehicle speed, vehicle load, road surface dust amount, construction site environmental wind speed, and dust-raising wind speed, vehicle speed weight coefficient, load weight coefficient, dust amount weight coefficient, and wind speed weight coefficient. It is used to start the dust collector after the construction environmental impact index exceeds the preset construction environmental impact index. The dust collector is used to collect dust from the construction site.

[0007] Radar speedometers can monitor the speed of vehicles entering and leaving the construction site in real time, ensuring that vehicles comply with speed limits and reducing dust problems caused by speeding. Axle load meters are used to measure the load of vehicles to prevent overloaded vehicles from entering the construction site, resulting in greater tire-ground friction and increased dust generation. Anemometers detect wind speed and dust-raising wind speed in the construction site environment in real time, predict the diffusion trend of dust, help avoid unnecessary dust removal measures, save resources, and effectively avoid or reduce the harm of dust to the environment and human body.

[0008] Furthermore, the calculation formula of the construction environmental impact index is:

[0009]

[0010] Among them, N is the construction environmental impact index, V is the vehicle speed, unit is km / h, W is the vehicle load, unit is t, and D is the amount of dust on the road surface, unit is kg / m 3 , α is the vehicle speed weight coefficient, which is 1.56, β is the load weight coefficient, which is 0.87, γ is the dust weight coefficient, which is 0.64, ε is the wind speed weight coefficient, which is 2.3, V f is the ambient wind speed at the construction site, in m / s; V0 is the dust-raising wind speed, in m / s; and e is the natural logarithm.

[0011] Furthermore, the dust collector is a pulse bag dust collector.

[0012] The pulse bag dust collector uses bag filter materials to capture particulate matter and can achieve a high dust removal efficiency. The filter bag assembly is easy to inspect and replace, has a simple structure and stable operation, can work continuously for a long time, and reduces downtime caused by failures.

[0013] Furthermore, the fire evacuation guidance module includes a second microprocessor, an infrared sensor, a GIS, a temperature sensor, a smoke detector, a CO sensor, a positioning sensor, a broadcast signal receiver, and a plurality of indicator lights. The infrared sensor is arranged on the construction site to capture the infrared radiation emitted by the body of a person. After the capture is successful, the information of the movement position change of the person is obtained and sent to the second microprocessor. The GIS is arranged on the construction site to obtain the geometric length of the evacuation path and send it to the positioning sensor. The temperature sensor is arranged on the construction site to monitor the smoke temperature of the construction site and send it to the positioning sensor. The smoke detector is arranged on the construction site to monitor the smoke visibility of the construction site and send it to the positioning sensor. The CO sensor is arranged on the construction site to monitor the CO concentration of the construction site and send it to the positioning sensor. The positioning sensor is arranged on the construction site and is connected to the GIS, the temperature sensor, the smoke detector, and the CO sensor for communication. After receiving the smoke temperature of the construction site, the smoke visibility of the construction site, and the CO concentration of the construction site, the construction site is divided into a plurality of grid units. After the division is successful, the smoke temperature at the grid, the smoke visibility at the grid, and the CO concentration at the grid are obtained. After the acquisition is successful, it is sent to the second microprocessor. The second microprocessor is set on the construction site, and is connected to the infrared sensor, the positioning sensor, and the dust removal module for communication. After receiving the information of the change of the moving position of the personnel, it is used to obtain the evacuation speed of the personnel under the influence of the fire at a certain moment. After receiving the geometric length of the evacuation path, the smoke temperature at the grid, the smoke visibility at the grid, and the CO concentration at the grid, the fire risk index is calculated by the evacuation speed of the personnel under the influence of the fire at a certain moment, the geometric length of the evacuation path, the smoke temperature at the grid, the smoke visibility at the grid, and the CO concentration at the grid. When the fire risk index exceeds the preset fire risk index and the amount of dust raised by the vehicles on the construction site is greater than the amount of dust raised by the wind, a number of indicator lights are activated. When the fire risk index exceeds the preset fire risk index and the amount of dust raised by the vehicles on the construction site is greater than the amount of dust raised by the wind, an evacuation signal is generated and sent to a broadcast signal receiver. The broadcast signal receiver is arranged in the broadcast center, and is used to broadcast the evacuation instruction after receiving the evacuation signal, and notify the personnel in the construction site to evacuate immediately. A plurality of indicator lights are arranged on the construction site, and are electrically connected to the second microprocessor, and are used to guide the evacuation route of the personnel.

[0014] Through the cooperation of GIS and positioning sensors, the construction site is divided into multiple grid units, and the fire risk situation of each grid is monitored in real time. The setting of indicator lights can intuitively and clearly indicate the evacuation direction and improve evacuation efficiency. When the fire risk index exceeds the standard and the amount of dust is large, the indicator lights and broadcasting are automatically started to issue evacuation instructions to ensure that personnel evacuate quickly and orderly, greatly improving evacuation efficiency and effectively avoiding casualties and property losses caused by fire.

[0015] Furthermore, the calculation formula of the fire risk index is:

[0016]

[0017] Among them, Z (t) is the fire risk index of the grid (x, y) at time t, v t is the evacuation speed of personnel under the influence of fire at time t, in m / s, L is the geometric length of the personnel evacuation path, in m, T is the smoke temperature at the grid (x, y), in °C, K c is the smoke visibility at the grid (x, y), in m, ρ co is the CO concentration at the grid (x, y), in mol / L, R xy (T) is the flue gas temperature influence function, R xy (K c ) is the smoke visibility influence function, R xy (ρ co ) is the CO concentration influence function, D1 is the dust emission from vehicles on the construction site, unit is kg / m 3 , D2 is the amount of dust generated by wind, unit is kg / m 3 .

[0018] The calculation formula for the amount of dust raised by vehicles on construction sites is:

[0019]

[0020] The calculation formula for the amount of wind-induced dust generation is:

[0021] D2=ε*(V f -V0) 3 *e -1.023W .

[0022] Furthermore, the plurality of indicator lights are LED indicator lights.

[0023] LED indicators, with their high brightness and low power consumption, can provide clear and eye-catching indication signals in emergency situations such as fires. Compared with traditional lighting equipment, LED indicators emit the same brightness of light while consuming less energy, which helps to extend the endurance of the equipment and can continue to function in emergency situations.

[0024] Further, the safety monitoring and early warning module includes a third microprocessor, a displacement sensor, an acceleration sensor, a height sensor, a vibration sensor, and a buzzer alarm. The displacement sensor is arranged at the end of the crane arm, and is used to measure the length of the crane arm and send it to the third microprocessor. The acceleration sensor is arranged on the tower crane, and is used to measure the acceleration of gravity and send it to the third microprocessor. The height sensor is arranged on the tower crane, and is used to measure the height of the tower crane and send it to the third microprocessor. The vibration sensor is arranged on the tower crane, and is used to measure the natural frequency of the tower crane and send it to the third microprocessor. The third microprocessor is arranged on the tower crane, and is connected to the displacement sensor, the acceleration sensor, the height sensor, the vibration sensor, and the dust removal module for communication, and is used to calculate the tower crane swing amplitude through the tower crane structure flexibility weight coefficient, the length of the crane arm, the acceleration of gravity, the height of the tower crane, and the natural frequency of the tower crane through the tower crane structure flexibility weight coefficient, the length of the crane arm, the acceleration of gravity, the height of the tower crane, f is the natural frequency of the tower crane, and the preset damping ratio. It is used to start the buzzer alarm when the swing amplitude of the tower crane exceeds the preset swing amplitude threshold and the wind speed in the construction site environment is greater than the dust-raising wind speed. The buzzer alarm is arranged on the construction site and is electrically connected to the third microprocessor for issuing a buzzer alarm to remind personnel to evacuate safely.

[0025] By real-time monitoring of the tower crane's operating status and timely warning, the safety risks during the tower crane operation can be significantly reduced, and the lives and property of personnel can be protected. Before potential dangers occur, personnel can be reminded to evacuate safely, which enhances the ability to respond to emergencies, timely discovers and handles potential safety hazards, avoids construction interruptions and delays caused by safety accidents, and thus improves construction efficiency.

[0026] Furthermore, the calculation formula for the tower crane swing amplitude is:

[0027]

[0028] Among them, A is the swing amplitude of the tower crane, in m, E is the weight coefficient of the tower crane structure flexibility, which is 0.98, L is the length of the crane arm, in m, and g is the gravitational acceleration, in m / s 2 , H is the height of the tower crane, in m, f is the natural frequency of the tower crane, in Hz, and C is the preset damping ratio.

[0029] Furthermore, the vibration sensor is connected to the tower crane by bolts.

[0030] Bolt connection has high stability and reliability, ensuring the stable installation of vibration sensor on tower crane, avoiding falling off or loosening due to vibration or external force. Bolt connection can achieve close contact between vibration sensor and tower crane, thus ensuring that the vibration of tower crane can be fully transmitted to the sensor, thus improving the accuracy of measurement.

[0031] Beneficial effects of the present invention:

[0032] 1. The present invention efficiently collects and processes dust through the setting of the dust removal module, significantly reduces the concentration of particulate matter in the air, effectively reduces the dust situation on the construction site, improves the surrounding air quality, protects the health of workers and surrounding residents, and is beneficial to the work efficiency of workers. The fire evacuation guidance module uses infrared radiation capture technology to quickly identify and track the location of personnel in the early stage of the fire, providing valuable time for subsequent evacuation work and broadcasting evacuation instructions in a timely manner, greatly shortening the emergency response time, ensuring that personnel on the construction site receive evacuation notices as soon as possible, reducing panic and confusion. At the same time, it guides personnel to the evacuation route, improves evacuation efficiency, and reduces the risk of casualties. The safety monitoring and early warning module monitors the safety status of the construction site in real time, provides all-weather safety protection for the construction site, effectively prevents accidents, and greatly enhances safety protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of the structure of the present invention. DETAILED DESCRIPTION

[0034] The concept and technical effects of the present invention will be clearly and completely described below in conjunction with embodiments to fully understand the purpose, features and effects of the present invention.

[0035] like Figure 1 The technical solution adopted by the present invention to solve its technical problems is: an early warning system for building safety monitoring, including a dust removal module, a fire evacuation guidance module, and a safety monitoring and early warning module. The dust removal module is arranged on the construction site to collect the dust on the construction site. The fire evacuation guidance module is used to capture the infrared radiation emitted by the body of a person. After successful capture, it is used to obtain the information on the change of the moving position of the person. It is used to broadcast evacuation instructions to notify the personnel in the construction site to evacuate immediately. It is used to guide the evacuation route of the personnel. The safety monitoring and early warning module is arranged on the construction site to issue a buzzer alarm to remind the personnel to pay attention to safe evacuation.

[0036] Through the setting of the dust removal module, dust can be efficiently collected and processed, the concentration of particulate matter in the air can be significantly reduced, the dust situation on the construction site can be effectively reduced, the surrounding air quality can be improved, the health of workers and surrounding residents can be protected, and the work efficiency of workers can be improved. The fire evacuation guidance module uses infrared radiation capture technology to quickly identify and track the location of personnel in the early stage of the fire, providing valuable time for subsequent evacuation work and broadcasting evacuation instructions in a timely manner, greatly shortening the emergency response time, ensuring that personnel on the construction site receive evacuation notices as soon as possible, reducing panic and confusion. At the same time, it guides personnel to the evacuation route, improves evacuation efficiency, and reduces the risk of casualties. The safety monitoring and early warning module monitors the safety status of the construction site in real time, provides all-weather safety protection for the site, effectively prevents accidents, and greatly enhances safety protection.

[0037] The dust removal module includes a first microprocessor, a radar speedometer, an axle load meter, a dust concentration detector, an anemometer, and a dust collector. The radar speedometer is set at the entrance of the construction site road to detect the speed of the car when the vehicle enters the construction site and send it to the first microprocessor. The axle load meter is set at the entrance of the construction site road to measure the car load when the vehicle enters the construction site and send it to the first microprocessor. The dust concentration detector is set on the construction site road to monitor the dust amount on the road surface and send it to the first microprocessor. The anemometer is set on the construction site to detect the environmental wind speed and dust-raising wind speed of the construction site and send it to the first microprocessor. The first microprocessor is used to calculate the construction environment impact index through the car speed, car load, road surface dust amount, construction site environmental wind speed, and dust-raising wind speed after receiving the car speed, car load, road surface dust amount, construction site environmental wind speed, dust-raising wind speed, vehicle speed weight coefficient, load weight coefficient, dust amount weight coefficient, and wind speed weight coefficient. It is used to start the dust collector after the construction environmental impact index exceeds the preset construction environmental impact index. The dust collector is used to collect dust from the construction site.

[0038] Radar speedometers can monitor the speed of vehicles entering and leaving the construction site in real time, ensuring that vehicles comply with speed limits and reducing dust problems caused by speeding. Axle load meters are used to measure the load of vehicles to prevent overloaded vehicles from entering the construction site, resulting in greater tire-ground friction and increased dust generation. Anemometers detect wind speed and dust-raising wind speed in the construction site environment in real time, predict the diffusion trend of dust, help avoid unnecessary dust removal measures, save resources, and effectively avoid or reduce the harm of dust to the environment and human body.

[0039] The calculation formula of construction environmental impact index is:

[0040]

[0041] Among them, N is the construction environmental impact index, V is the vehicle speed, unit is km / h, W is the vehicle load, unit is t, and D is the amount of dust on the road surface, unit is kg / m 3 , α is the vehicle speed weight coefficient, which is 1.56, β is the load weight coefficient, which is 0.87, γ is the dust weight coefficient, which is 0.64, ε is the wind speed weight coefficient, which is 2.3, V f is the ambient wind speed at the construction site, in m / s; V0 is the dust-raising wind speed, in m / s; and e is the natural logarithm.

[0042] The dust collector is a pulse bag dust collector.

[0043] The pulse bag dust collector uses bag filter materials to capture particulate matter and can achieve a high dust removal efficiency. The filter bag assembly is easy to inspect and replace, has a simple structure and stable operation, can work continuously for a long time, and reduces downtime caused by failures.

[0044] The fire evacuation guidance module includes a second microprocessor, an infrared sensor, a GIS, a temperature sensor, a smoke detector, a CO sensor, a positioning sensor, a broadcast signal receiver, and a plurality of indicator lights. The infrared sensor is arranged on the construction site to capture the infrared radiation emitted by the body of a person. After the capture is successful, the information of the movement position change of the person is obtained and sent to the second microprocessor. The GIS is arranged on the construction site to obtain the geometric length of the evacuation path and send it to the positioning sensor. The temperature sensor is arranged on the construction site to monitor the smoke temperature of the construction site and send it to the positioning sensor. The smoke detector is arranged on the construction site to monitor the smoke visibility of the construction site and send it to the positioning sensor. The CO sensor is arranged on the construction site to monitor the CO concentration of the construction site and send it to the positioning sensor. The positioning sensor is arranged on the construction site and is connected to the GIS, the temperature sensor, the smoke detector, and the CO sensor for communication. After receiving the smoke temperature of the construction site, the smoke visibility of the construction site, and the CO concentration of the construction site, the construction site is divided into a plurality of grid units. After the division is successful, the smoke temperature at the grid, the smoke visibility at the grid, and the CO concentration at the grid are obtained. After the acquisition is successful, it is sent to the second microprocessor. The second microprocessor is set on the construction site, and is connected to the infrared sensor, the positioning sensor, and the dust removal module for communication. After receiving the information of the change of the moving position of the personnel, it is used to obtain the evacuation speed of the personnel under the influence of the fire at a certain moment. After receiving the geometric length of the evacuation path, the smoke temperature at the grid, the smoke visibility at the grid, and the CO concentration at the grid, the fire risk index is calculated by the evacuation speed of the personnel under the influence of the fire at a certain moment, the geometric length of the evacuation path, the smoke temperature at the grid, the smoke visibility at the grid, and the CO concentration at the grid. When the fire risk index exceeds the preset fire risk index and the amount of dust raised by the vehicles on the construction site is greater than the amount of dust raised by the wind, a number of indicator lights are activated. When the fire risk index exceeds the preset fire risk index and the amount of dust raised by the vehicles on the construction site is greater than the amount of dust raised by the wind, an evacuation signal is generated and sent to a broadcast signal receiver. The broadcast signal receiver is arranged in the broadcast center, and is used to broadcast the evacuation instruction after receiving the evacuation signal, and notify the personnel in the construction site to evacuate immediately. A plurality of indicator lights are arranged on the construction site, and are electrically connected to the second microprocessor, and are used to guide the evacuation route of the personnel.

[0045] Through the cooperation of GIS and positioning sensors, the construction site is divided into multiple grid units, and the fire risk situation of each grid is monitored in real time. The setting of indicator lights can intuitively and clearly indicate the evacuation direction and improve evacuation efficiency. When the fire risk index exceeds the standard and the amount of dust is large, the indicator lights and broadcasting are automatically started to issue evacuation instructions to ensure that personnel evacuate quickly and orderly, greatly improving evacuation efficiency and effectively avoiding casualties and property losses caused by fire.

[0046] The calculation formula of fire risk index is:

[0047]

[0048] Among them, Z ( t ) is the fire risk index of the grid (x, y) at time t, v t is the evacuation speed of personnel under the influence of fire at time t, in m / s, L is the geometric length of the personnel evacuation path, in m, T is the smoke temperature at the grid (x, y), in °C, K c is the smoke visibility at the grid (x, y), in m, ρ co is the CO concentration at the grid (x, y), in mol / L, R xy (T) is the flue gas temperature influence function, R xy (K c ) is the smoke visibility influence function, R xy (ρ co ) is the CO concentration influence function, D1 is the dust emission from vehicles on the construction site, unit is kg / m 3 , D2 is the amount of dust generated by wind, unit is kg / m 3 .

[0049] The calculation formula for the amount of dust raised by vehicles on construction sites is:

[0050]

[0051] The calculation formula for the amount of wind-induced dust generation is:

[0052] D2=ε*(V f -V0) 3 *e -1.023W .

[0053] Some indicator lights are LED indicator lights.

[0054] LED indicators, with their high brightness and low power consumption, can provide clear and eye-catching indication signals in emergency situations such as fires. Compared with traditional lighting equipment, LED indicators emit the same brightness of light while consuming less energy, which helps to extend the endurance of the equipment and can continue to function in emergency situations.

[0055] The safety monitoring and early warning module includes a third microprocessor, a displacement sensor, an acceleration sensor, a height sensor, a vibration sensor, and a buzzer alarm. The displacement sensor is arranged at the end of the crane arm, and is used to measure the length of the crane arm and send it to the third microprocessor. The acceleration sensor is arranged on the tower crane, and is used to measure the gravity acceleration and send it to the third microprocessor. The height sensor is arranged on the tower crane, and is used to measure the height of the tower crane and send it to the third microprocessor. The vibration sensor is arranged on the tower crane, and is used to measure the natural frequency of the tower crane and send it to the third microprocessor. The third microprocessor is arranged on the tower crane, and is connected to the displacement sensor, the acceleration sensor, the height sensor, the vibration sensor, and the dust removal module for communication. After receiving the length of the crane arm, the gravity acceleration, the height of the tower crane, and the natural frequency of the tower crane, the tower crane is calculated by the tower crane structure flexibility weight coefficient, the length of the crane arm, the gravity acceleration, the height of the tower crane, f is the natural frequency of the tower crane, and the preset damping ratio to obtain the tower crane swing amplitude. It is used to start the buzzer alarm when the tower crane swing amplitude exceeds the preset swing amplitude threshold and the environmental wind speed of the construction site is greater than the dust-raising wind speed. The buzzer alarm is arranged on the construction site and is electrically connected to the third microprocessor for issuing a buzzer alarm to remind personnel to evacuate safely.

[0056] By real-time monitoring of the tower crane's operating status and timely warning, the safety risks during the tower crane operation can be significantly reduced, and the lives and property of personnel can be protected. Before potential dangers occur, personnel can be reminded to evacuate safely, which enhances the ability to respond to emergencies, timely discovers and handles potential safety hazards, avoids construction interruptions and delays caused by safety accidents, and thus improves construction efficiency.

[0057] The calculation formula for the tower crane swing amplitude is:

[0058]

[0059] Among them, A is the swing amplitude of the tower crane, in m, E is the weight coefficient of the tower crane structure flexibility, which is 0.98, L is the length of the crane arm, in m, and g is the gravitational acceleration, in m / s 2 , H is the height of the tower crane, in m, f is the natural frequency of the tower crane, in Hz, and C is the preset damping ratio.

[0060] The vibration sensor is connected to the tower crane by bolts.

[0061] Bolt connection has high stability and reliability, ensuring the stable installation of vibration sensor on tower crane, avoiding falling off or loosening due to vibration or external force. Bolt connection can achieve close contact between vibration sensor and tower crane, thus ensuring that the vibration of tower crane can be fully transmitted to the sensor, thus improving the accuracy of measurement.

[0062] For example, a high-rise building is being constructed at a large construction site, where there are a large number of tower cranes, vehicles, and construction workers. In order to ensure construction safety and personnel safety, the site uses an early warning system for building safety monitoring.

[0063] When a vehicle enters a construction site, the radar speed meter and the axle load meter detect the speed and load of the vehicle, respectively, and send the data to the first microprocessor. The dust concentration detector monitors the amount of dust on the road surface and sends the data to the first microprocessor. The anemometer detects the ambient wind speed and dust-raising wind speed of the construction site and sends the data to the first microprocessor. When the first microprocessor calculates the construction environment impact index based on the received vehicle speed and load, the amount of dust on the road surface, the ambient wind speed and dust-raising wind speed data of the construction site, combined with the preset weight coefficient. When the construction environment impact index exceeds the preset construction environment impact index, the first microprocessor starts the dust collector, which collects the dust from the construction site to reduce the impact of dust on construction workers and the environment.

[0064] The infrared sensor captures the infrared radiation emitted by the body of the person, obtains the information of the change of the moving position of the person, and sends it to the second microprocessor. GIS obtains the geometric length of the evacuation path, and the temperature sensor, smoke detector and CO sensor respectively monitor the smoke temperature, smoke visibility and CO concentration of the construction site, and send the data to the positioning sensor. After receiving the smoke temperature, smoke visibility and CO concentration of the construction site, the positioning sensor divides the construction site into multiple grid units. After the multiple grid units are successfully divided, the smoke temperature, smoke visibility and CO concentration at the grid are obtained and sent to the second microprocessor. When the second microprocessor receives the smoke temperature, smoke visibility and CO concentration at the grid, it calculates the fire risk index. When the fire risk index exceeds the preset value and the amount of dust raised by vehicles driving on the construction site is greater than the amount of dust raised by wind, the second microprocessor starts several indicator lights, and the several indicator lights emit light to guide the evacuation route of the personnel. At the same time, the second microprocessor generates an evacuation signal and sends it to the broadcast signal receiver. When the broadcast signal receiver receives the evacuation signal, the broadcast broadcasts the evacuation instructions to notify the personnel in the construction site to evacuate immediately.

[0065] The displacement sensor, acceleration sensor, height sensor and vibration sensor respectively measure the length of the crane arm, gravity acceleration, height of the tower crane and the natural frequency of the tower crane, and send the data to the third microprocessor. After receiving the length of the crane arm, gravity acceleration, height of the tower crane and the natural frequency of the tower crane, the third microprocessor calculates the swing amplitude of the tower crane. When the swing amplitude of the tower crane exceeds the preset swing amplitude threshold and the wind speed of the construction site environment is greater than the dust-raising wind speed, the third microprocessor starts the buzzer alarm, and the buzzer alarm sounds a buzzer alarm to remind personnel to evacuate safely.

[0066] The above embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, other embodiments obtained by those skilled in the art without creative work shall all fall within the scope of protection of the present invention.

Claims

1. An early warning system for building safety monitoring, characterized in that: Including dust removal module, fire evacuation guidance module, safety monitoring and early warning module; The dust removal module is arranged on the construction site to collect the dust on the construction site; The fire evacuation guidance module is used to capture infrared radiation emitted by a person's body; to obtain information on the change in the movement position of the person after successful capture; to broadcast evacuation instructions to notify the personnel in the construction site to evacuate immediately; and to guide the evacuation route of the personnel; The safety monitoring and early warning module is arranged on a construction site to send out a buzzer alarm to remind personnel to evacuate safely.

2. The early warning system for building safety monitoring according to claim 1 is characterized in that : The dust removal module includes a first microprocessor, a radar speed meter, an axle load meter, a dust concentration detector, an anemometer, and a dust collector; The radar speed meter is arranged at the entrance of the construction site road, and is used to detect the speed of the vehicle when the vehicle enters the construction site, and send it to the first microprocessor; The axle load meter is arranged at the entrance of the construction site road, and is used to measure the vehicle load when the vehicle enters the construction site, and send it to the first microprocessor; The dust concentration detector is arranged on the road of the construction site, and is used to monitor the dust amount on the road surface and send it to the first microprocessor; The anemometer is set up on the construction site, and is used to detect the environmental wind speed and dust-generating wind speed of the construction site, and send them to the first microprocessor; The first microprocessor is used to calculate the construction environment impact index by the vehicle speed, vehicle load, road surface dust, construction site environmental wind speed, dust-raising wind speed, vehicle speed weight coefficient, load weight coefficient, dust weight coefficient, and wind speed weight coefficient after receiving the vehicle speed, vehicle load, road surface dust, construction site environmental wind speed, dust-raising wind speed, vehicle speed weight coefficient, load weight coefficient, dust weight coefficient, and wind speed weight coefficient; and is used to start the dust collector after the construction environment impact index exceeds the preset construction environment impact index; The dust collector is used to collect dust from a construction site.

3. The early warning system for building safety monitoring according to claim 2 is characterized in that The calculation formula of construction environmental impact index is: Among them, N is the construction environmental impact index, V is the vehicle speed, unit is km / h, W is the vehicle load, unit is t, and D is the amount of dust on the road surface, unit is kg / m 3 , α is the vehicle speed weight coefficient, β is the load weight coefficient, γ is the dust weight coefficient, ε is the wind speed weight coefficient, V f is the ambient wind speed at the construction site, in m / s; V0 is the dust-raising wind speed, in m / s; and e is the natural logarithm.

4. The early warning system for building safety monitoring according to claim 2 is characterized in that :The dust collector is a pulse bag dust collector.

5. The early warning system for building safety monitoring according to claim 2 is characterized in that : The fire evacuation guidance module includes a second microprocessor, an infrared sensor, a GIS, a temperature sensor, a smoke detector, a CO sensor, a positioning sensor, a broadcast signal receiver, and several indicator lights; The infrared sensor is arranged on the construction site, and is used to capture the infrared radiation emitted by the body of a person; after the infrared radiation is captured successfully, the infrared sensor is used to obtain the information of the movement position change of the person, and send the information to the second microprocessor; The GIS is arranged on the construction site to obtain the geometric length of the evacuation path and send it to the positioning sensor; The temperature sensor is arranged at the construction site to monitor the smoke temperature at the construction site and send it to the positioning sensor; The smoke detector is arranged at the construction site to monitor smoke visibility at the construction site and send it to the positioning sensor; The CO sensor is arranged at the construction site to monitor the CO concentration at the construction site and send it to the positioning sensor; The positioning sensor is arranged on the construction site, and is in communication connection with the GIS, the temperature sensor, the smoke detector, and the CO sensor, and is used to divide the construction site into a plurality of grid units after receiving the smoke temperature, the smoke visibility, and the CO concentration of the construction site; Used to obtain the smoke temperature at the grid, the smoke visibility at the grid, and the CO concentration at the grid after the division is successful; used to send them to the second microprocessor after the acquisition is successful; The second microprocessor is disposed on the construction site and is in communication with the infrared sensor, the positioning sensor, and the dust removal module, and is used to obtain the evacuation speed of personnel under the influence of fire at a certain moment after receiving the information on the change of the movement position of personnel; After receiving the geometric length of the evacuation path, the smoke temperature at the grid, the smoke visibility at the grid, and the CO concentration at the grid, the fire risk index is calculated based on the evacuation speed of personnel under the influence of fire at a certain moment, the geometric length of the evacuation path, the smoke temperature at the grid, the smoke visibility at the grid, and the CO concentration at the grid; Used to activate the plurality of indicator lights when the fire risk index exceeds a preset fire risk index and the amount of dust raised by vehicles on the construction site is greater than the amount of dust raised by wind; used to generate an evacuation signal and send it to the broadcast signal receiver when the fire risk index exceeds a preset fire risk index and the amount of dust raised by vehicles on the construction site is greater than the amount of dust raised by wind; The broadcast signal receiver is arranged in the broadcast center, and is used to broadcast the evacuation instruction after receiving the evacuation signal, so as to notify the personnel in the construction site to evacuate immediately; A plurality of indicator lights are arranged on the construction site and are electrically connected to the second microprocessor to guide the evacuation routes of personnel.

6. The early warning system for building safety monitoring according to claim 5 is characterized in that The calculation formula of fire risk index is: Among them, Z (t) is the fire risk index of the grid (x, y) at time t, v t is the evacuation speed of personnel under the influence of fire at time t, in m / s, L is the geometric length of the personnel evacuation path, in m, T is the smoke temperature at the grid (x, y), in °C, K c is the smoke visibility at the grid (x, y), in m, ρ co is the CO concentration at the grid (x, y), in mol / L, R xy (T) is the flue gas temperature influence function, R xy (K c ) is the smoke visibility influence function, R xy (ρ co ) is the CO concentration influence function, D1 is the dust emission from vehicles on the construction site, unit is kg / m 3 , D2 is the amount of dust generated by wind, unit is kg / m 3 ; The calculation formula for the amount of dust raised by vehicles on construction sites is: The calculation formula for the amount of wind-induced dust generation is: D2=ε*(V f -V0) 3 *e -1.023W 。 7. The early warning system for building safety monitoring according to claim 5 is characterized in that : Some of the indicator lights are LED indicator lights.

8. The early warning system for building safety monitoring according to claim 5 is characterized in that : The safety monitoring and early warning module includes a third microprocessor, a displacement sensor, an acceleration sensor, a height sensor, a vibration sensor, and a buzzer alarm; The displacement sensor is arranged at the end of the crane arm and is used to measure the length of the crane arm and send it to the third microprocessor; The acceleration sensor is arranged on the tower crane, and is used to measure the acceleration of gravity and send it to the third microprocessor; The height sensor is arranged on the tower crane, and is used to measure the height of the tower crane and send it to the third microprocessor; The vibration sensor is arranged on the tower crane, and is used to measure the natural frequency of the tower crane and send it to the third microprocessor; The third microprocessor is arranged on the tower crane, and is in communication connection with the displacement sensor, the acceleration sensor, the height sensor, the vibration sensor, and the dust removal module, and is used for calculating the swing amplitude of the tower crane through the tower crane structure flexibility weight coefficient, the length of the crane arm, the gravity acceleration, the height of the tower crane, and the natural frequency of the tower crane after receiving the length of the crane arm, the gravity acceleration, the height of the tower crane, and the natural frequency of the tower crane, f is the natural frequency of the tower crane, and the preset damping ratio; and is used for starting the buzzer alarm when the swing amplitude of the tower crane exceeds the preset swing amplitude threshold and the wind speed in the construction site environment is greater than the dust-raising wind speed; The buzzer alarm is arranged on the construction site and is electrically connected to the third microprocessor to send out a buzzer alarm to remind personnel to evacuate safely.

9. The early warning system for building safety monitoring according to claim 8, characterized in that The calculation formula of the tower crane swing amplitude is: Among them, A is the swing amplitude of the tower crane, in m, E is the weight coefficient of the tower crane structure flexibility, L is the length of the crane arm, in m, and g is the gravitational acceleration, in m / s 2 , H is the height of the tower crane, in m, f is the natural frequency of the tower crane, in Hz, and C is the preset damping ratio.

10. The early warning system for building safety monitoring according to claim 8, characterized in that The vibration sensor is connected to the tower crane by bolts.

Citation Information

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