Building construction safety intelligent early warning and prevention and control system

Abstract

The invention provides a building construction safety intelligent early warning and prevention and control system, and belongs to the technical field of building construction safety intelligent management. According to the invention, through GPS, sensor network and environmental parameter monitoring, dynamic perception of personnel behaviors, equipment states and construction environments is realized, high-place falling, mechanical faults and fire accidents are effectively prevented, a risk model constructed based on big data and machine learning can accurately identify accident rules, such as seasonal hidden dangers and equipment fatigue trends, and the safety of the system is improved. Traditional post-event processing is converted into pre-event prevention, personnel distribution, equipment states and environment data are displayed through a large screen and a mobile terminal, a manager can quickly allocate resources and balance safety and progress contradictions, a safety performance evaluation module generates a report through indexes of an accident rate and a hidden danger rectification rate, the safety management effect is quantified, and the management efficiency is improved. Weak links are helped to be positioned, risk model parameters and early warning rules are optimized regularly, and a PDCA cycle of'monitoring-early warning-prevention and control-evaluation 'is formed.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent management of building construction safety, and in particular to an intelligent early warning and prevention and control system for building construction safety. Background Art

[0002] In the field of construction, safety issues have always been the top priority. With the vigorous development of the construction industry, the scale of engineering projects has become increasingly large, and the construction environment has become increasingly complex. The construction process involves a large number of personnel, equipment and various work activities, which makes construction face many safety risks. The traditional construction safety management model mainly relies on manual inspections and experience judgments. In terms of personnel management, the construction site is vast, the personnel are large and the mobility is high. It is difficult for manual inspections to fully grasp the position and behavior status of each person in real time, and it is impossible to detect violations such as people mistakenly entering dangerous areas in time, resulting in casualties. According to relevant statistics, accidents caused by illegal operations of personnel and inadequate position supervision account for a high proportion each year. For example, in some large construction sites, due to the limitations of manual inspections, workers were not detected in time when they entered deep foundation pits without taking protective measures, which caused many collapse and burial accidents. Secondly, in terms of equipment management, On the one hand, construction equipment is of various types and difficult to monitor its operating status. Relying on manual regular inspections of equipment is not only inefficient, but also difficult to detect potential early failure hazards of equipment. Large equipment such as cranes and construction elevators, once a failure occurs, is very likely to cause serious safety accidents. For example, in a certain construction project, due to the failure to timely monitor the fatigue damage of key components of the crane, the crane suddenly broke during operation, causing significant casualties and property losses. In addition, construction environmental factors also have a significant impact on construction safety. Environmental parameters such as temperature, humidity, air quality, and wind speed at the construction site are in dynamic change. Traditional management methods make it difficult to track changes in these environmental factors in real time and respond in a timely manner. In hot weather, if anti-heat and cooling measures are not taken in time, workers are prone to heatstroke, affecting their physical health and construction safety. When the wind speed is too high, if high-altitude operations are not stopped in time, accidents such as falling people and materials are very likely to occur. Summary of the Invention

[0003] In view of this, the embodiments of the present invention hope to provide an intelligent early warning and prevention and control system for construction safety to solve or alleviate the technical problems existing in the prior art and at least provide a beneficial option.

[0004] The technical solution of the embodiment of the present invention is implemented as follows: A construction safety intelligent early warning and prevention and control system, comprising: A data acquisition module that uses GPS positioning technology to track personnel locations in real time to ensure they are in a safe area, and uses a sensor network to monitor equipment operating status, including equipment temperature, pressure, vibration, and speed; A data processing and analysis module, which analyzes historical accident data to identify accident patterns and trends, providing a basis for preventive measures, and uses big data and machine learning technology to build risk models to identify and assess safety hazards; An early warning module, which implements a multi-level early warning response mechanism based on the identification results of the data processing and analysis module. The multi-level early warning response mechanism includes: immediate warning of minor hidden dangers through on-site sound and light alarms, and triggering multi-channel early warnings for serious hidden dangers, including SMS notifications and phone calls; A prevention and control module, which takes preventive measures based on early warning signals, formulates emergency response plans for different safety hazards, and adjusts construction plans in real time based on implementation status to ensure safety and progress; The display module displays the real-time monitoring screen of the construction site through a large screen and a computer client, provides historical data query, early warning rule adjustment and emergency plan simulation, supports mobile access, and improves management efficiency.

[0005] In the above embodiment: the data acquisition module includes: Personnel location monitoring module, used to monitor the distribution of personnel on the construction site in real time; Equipment operation status monitoring module, used to monitor the operation status and performance parameters of construction equipment in real time; The environmental factor monitoring module is used to monitor the temperature, humidity, and air quality environmental factors of the construction site in real time.

[0006] In the above embodiment: the data processing and analysis module includes: Historical data storage module, used for storing historical data; The risk model building module is used to build risk models based on historical data and real-time data.

[0007] In the above embodiment: the early warning module includes: Warning mode module, including sound warning and light warning, to meet the needs of different environments and scenarios; The early warning information push function module is used to push early warning information to relevant personnel at the construction site.

[0008] In the above embodiment: the prevention and control module includes: Emergency response mechanism module, used to quickly initiate corresponding emergency response measures after the early warning signal is issued; The construction plan adjustment function module is used to adjust the construction plan according to early warning information and the implementation of prevention and control measures to ensure construction safety and progress.

[0009] In the above embodiment: the display module includes: Real-time monitoring screen display function module, used to display the real-time monitoring screen of the construction site; Warning information list display function module, used to display the list of current and historical warning information; The prevention and control measures implementation status display function module is used to display the implementation status and effects of prevention and control measures.

[0010] In the above embodiment: the early warning information includes the type, location and recommended measures of the hidden danger, which facilitates on-site personnel and management to respond quickly and take corresponding measures to eliminate the hidden danger. The measures include personnel evacuation, rescue operations, and equipment shutdown to ensure the safety of personnel and equipment.

[0011] In the above embodiment: it also includes a safety performance evaluation module, which evaluates the safety performance of the construction site based on historical data and real-time data, including the accident rate and hidden danger rectification rate. By regularly generating safety performance reports, the system can provide comprehensive safety performance feedback to management, help them identify weak links in safety management, and take corresponding improvement measures.

[0012] In the above embodiment: it also includes an intelligent training module, which can provide personalized safety training content and simulation drills based on the positions and safety needs of construction workers.

[0013] In the above embodiment: a remote control module is also included, which is used for management personnel to remotely control the equipment on the construction site through a computer or mobile device in an emergency.

[0014] The embodiment of the present invention adopts the above technical solution, which has the following advantages: 1. The present invention uses GPS, sensor networks, and environmental parameter monitoring to achieve dynamic perception of personnel behavior, equipment status, and construction environment, effectively preventing falls from heights, mechanical failures, and fire accidents. At the same time, the risk model constructed based on big data and machine learning can accurately identify accident patterns, such as seasonal hidden dangers and equipment fatigue trends, transforming traditional post-processing into pre-emptive prevention. By displaying personnel distribution, equipment status, and environmental data on large screens and mobile terminals, managers can quickly allocate resources and balance the contradiction between safety and progress. The safety performance evaluation module generates reports based on accident rate and hidden danger rectification rate indicators, quantifies safety management effectiveness, helps locate weak links, and regularly optimizes risk model parameters and early warning rules to form a "PDCA cycle of monitoring-early warning-prevention-evaluation."

[0015] 2. The present invention can automatically trigger sound and light alarms and multi-channel push notifications (SMS / phone calls) according to the level of hidden dangers, ensuring that no high-risk information is missed and greatly improving the response speed. At the same time, it can automatically match emergency plans for different types of hidden dangers, such as collapse and fire, and adjust personnel evacuation routes or equipment shutdown strategies based on real-time data to reduce the risk of secondary disasters. In an emergency, the fire protection system can be remotely shut down or started through a computer / mobile device, shortening the response time and preventing people from entering dangerous areas.

[0016] The above summary is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present invention will be readily apparent by reference to the accompanying drawings and the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 This is a flow chart of an intelligent early warning and prevention system for construction safety according to the present invention. DETAILED DESCRIPTION

[0019] Hereinafter, only certain exemplary embodiments are briefly described. As will be appreciated by those skilled in the art, the described embodiments may be modified in various ways without departing from the spirit or scope of the present invention. Therefore, the drawings and description are to be considered as illustrative in nature and not restrictive.

[0020] It should be noted that the terms "first," "second," "symmetrical," "array," etc. are used only to distinguish descriptions from positional descriptions and should not be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, limitations on features such as "first" and "symmetrical" may explicitly or implicitly include one or more of these features; similarly, when the number of certain features is not limited in the form of words such as "two" or "three," it should be noted that these features also explicitly or implicitly include one or more of the number of features. In the present invention, unless otherwise expressly specified or limited, terms such as "installation," "connection," and "fixation" should be understood broadly; for example, they may refer to fixed connection, detachable connection, or integral molding; they may refer to mechanical connection, direct connection, welding, or indirect connection through an intermediate medium; they may refer to internal communication between two components or interaction between two components. Those skilled in the art will be able to understand the specific meanings of the above terms in the present invention based on the specification and drawings in conjunction with specific circumstances.

[0021] Some technical problems, main solutions, minor technical problems and their solutions.

[0022] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0023] like Figure 1 As shown, an embodiment of the present invention provides an intelligent early warning and prevention system for construction safety, including: A data acquisition module that uses GPS positioning technology to track personnel locations in real time to ensure they are in a safe area, and uses a sensor network to monitor equipment operating status, including equipment temperature, pressure, vibration, and speed; A data processing and analysis module, which analyzes historical accident data to identify accident patterns and trends, providing a basis for preventive measures, and uses big data and machine learning technology to build risk models to identify and assess safety hazards; An early warning module, which implements a multi-level early warning response mechanism based on the identification results of the data processing and analysis module. The multi-level early warning response mechanism includes: immediate warning of minor hidden dangers through on-site sound and light alarms, and triggering multi-channel early warnings for serious hidden dangers, including SMS notifications and phone calls; A prevention and control module, which takes preventive measures based on early warning signals, formulates emergency response plans for different safety hazards, and adjusts construction plans in real time based on implementation status to ensure safety and progress; The display module displays the real-time monitoring screen of the construction site through a large screen and a computer client, provides historical data query, early warning rule adjustment and emergency plan simulation, supports mobile access, and improves management efficiency.

[0024] Specifically, the data acquisition module includes: Personnel location monitoring module, used to monitor the distribution of personnel on the construction site in real time; Equipment operation status monitoring module, used to monitor the operation status and performance parameters of construction equipment in real time; The environmental factor monitoring module is used to monitor the temperature, humidity, and air quality environmental factors of the construction site in real time.

[0025] Specifically, the data processing and analysis module includes: Historical data storage module, used for storing historical data; The risk model building module is used to build risk models based on historical data and real-time data.

[0026] Specifically, the early warning module includes: Warning mode module, including sound warning and light warning, to meet the needs of different environments and scenarios; The early warning information push function module is used to push early warning information to relevant personnel at the construction site.

[0027] Specifically, the prevention and control modules include: Emergency response mechanism module, used to quickly initiate corresponding emergency response measures after the early warning signal is issued; The construction plan adjustment function module is used to adjust the construction plan according to early warning information and the implementation of prevention and control measures to ensure construction safety and progress.

[0028] Specifically, the display module includes: Real-time monitoring screen display function module, used to display the real-time monitoring screen of the construction site; Warning information list display function module, used to display the list of current and historical warning information; The prevention and control measures implementation status display function module is used to display the implementation status and effects of prevention and control measures.

[0029] Specifically, the warning information includes the type, location and recommended measures of the hidden danger, which facilitates on-site personnel and management to respond quickly and take corresponding measures to eliminate the hidden danger. The measures include personnel evacuation, rescue operations, and equipment shutdown to ensure the safety of personnel and equipment.

[0030] Specifically, it also includes a safety performance evaluation module, which evaluates the safety performance of the construction site based on historical data and real-time data, including the accident rate and hidden danger rectification rate, and provides comprehensive safety performance feedback by regularly generating safety performance reports.

[0031] Specifically, it also includes an intelligent training module that can provide personalized safety training content and simulation drills based on the positions and safety needs of construction workers.

[0032] Specifically, it also includes a remote control module, which is used by managers to remotely control equipment on the construction site through computers or mobile devices in emergency situations.

[0033] In this embodiment, the specific present invention is at work: first, it uses GPS positioning technology to track the position of personnel in real time, and can promptly detect whether personnel have entered dangerous areas such as unprotected high-altitude working areas and deep foundation pits. Once personnel enter, it will immediately issue an early warning, reminding on-site personnel to pay attention to safety and informing management personnel so that timely measures can be taken to prevent casualties. At the same time, the sensor network is used to monitor the operating status of the equipment, covering parameters such as temperature, pressure, vibration, and speed. When abnormal operating data of the equipment occurs, such as the crane load exceeds the safety limit or the construction elevator runs at an abnormal speed, it can quickly identify and issue an early warning. At this time, the prevention and control module will automatically suspend the equipment operation and arrange for professional personnel to carry out maintenance to avoid accidents caused by the equipment. Failures can cause safety accidents. In addition, with the help of weather stations and environmental monitors, the system collects environmental factors at the construction site, including temperature, humidity, air quality, wind speed, and rainfall. When environmental parameters exceed the safe range, corresponding warnings will be issued. For example, in hot weather, construction workers will be reminded to pay attention to heatstroke prevention and cooling to avoid heatstroke accidents; when the wind speed is too high, high-altitude operations will be stopped in time to prevent people from being blown down or materials from being blown down and injuring people. It can also monitor fire hazards at the construction site in real time, including the storage area of ​​flammable materials and the use of electrical equipment. Once signs of smoke or high-temperature fire are detected, the fire emergency plan will be immediately activated, and the on-site personnel will be notified to evacuate through sound and light alarms, and fire extinguishers and fire hydrants will be automatically called. At the same time, relevant managers and fire departments will be notified. In order to quickly take fire-fighting measures and reduce fire losses; for foundation pits, scaffolding, formwork supports and parts prone to collapse accidents during construction, sensors are used to monitor the deformation, displacement and other data of their structures. When the monitoring data shows that there may be a risk of collapse, an early warning will be issued in time to remind construction workers to evacuate the dangerous area and take corresponding reinforcement or demolition measures to prevent the occurrence of collapse accidents. The safety performance evaluation module will evaluate the safety performance of the construction site based on historical data and real-time data, and generate a safety performance report containing indicators such as accident incidence rate and hidden danger rectification rate. Management can identify weak links in safety management based on the report, formulate targeted improvement measures, continuously optimize the construction safety management process, and improve the overall safety level. The intelligent training module provides personalized safety training content and simulation drills based on the positions and safety needs of construction workers. For example, it provides prevention and emergency response training for height-fall accidents for workers working at heights; and conducts training on electrical safety knowledge and operating procedures for electrical workers to improve the safety awareness and skills of construction workers and reduce safety accidents caused by human factors. The remote control module allows managers to remotely monitor the real-time situation of the construction site, including personnel distribution, equipment status, and environmental data, through computers or mobile devices in the office or other locations. In an emergency, managers can also remotely control certain equipment on the construction site, such as emergency shutdown and activation of fire protection systems, to achieve rapid response and emergency command, and effectively deal with safety hazards.

[0034] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various modifications and substitutions within the technical scope disclosed in the present invention, and such modifications and substitutions are intended to be within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. An intelligent early warning and prevention system for construction safety, characterized in that: include: A data acquisition module that uses GPS positioning technology to track personnel locations in real time to ensure they are in a safe area, and uses a sensor network to monitor equipment operating status, including equipment temperature, pressure, vibration, and speed; A data processing and analysis module, which analyzes historical accident data to identify accident patterns and trends, providing a basis for preventive measures, and uses big data and machine learning technology to build risk models to identify and assess safety hazards; An early warning module, which implements a multi-level early warning response mechanism based on the identification results of the data processing and analysis module. The multi-level early warning response mechanism includes: immediate warning of minor hidden dangers through on-site sound and light alarms, and triggering multi-channel early warnings for serious hidden dangers, including SMS notifications and phone calls; A prevention and control module, which takes preventive measures based on early warning signals, formulates emergency response plans for different safety hazards, and adjusts construction plans in real time based on implementation status to ensure safety and progress; The display module displays the real-time monitoring screen of the construction site through a large screen and a computer client, provides historical data query, early warning rule adjustment and emergency plan simulation, supports mobile access, and improves management efficiency.

2. The intelligent early warning and control system for construction safety according to claim 1, characterized in that: The data acquisition module includes: Personnel location monitoring module, used to monitor the distribution of personnel on the construction site in real time; Equipment operation status monitoring module, used to monitor the operation status and performance parameters of construction equipment in real time; The environmental factor monitoring module is used to monitor the temperature, humidity, and air quality environmental factors of the construction site in real time.

3. The intelligent early warning and control system for construction safety according to claim 1 is characterized by: The data processing and analysis module includes: Historical data storage module, used for storing historical data; The risk model building module is used to build risk models based on historical data and real-time data.

4. The intelligent early warning and control system for construction safety according to claim 1, characterized in that: The early warning module includes: Warning mode module, including sound warning and light warning, to meet the needs of different environments and scenarios; The early warning information push function module is used to push early warning information to relevant personnel at the construction site.

5. The intelligent early warning and control system for construction safety according to claim 1 is characterized by: The control module includes: Emergency response mechanism module, used to quickly initiate corresponding emergency response measures after the early warning signal is issued; The construction plan adjustment function module is used to adjust the construction plan according to early warning information and the implementation of prevention and control measures to ensure construction safety and progress.

6. The intelligent early warning and control system for construction safety according to claim 1, characterized in that: The display module includes: Real-time monitoring screen display function module, used to display the real-time monitoring screen of the construction site; Warning information list display function module, used to display the list of current and historical warning information; The prevention and control measures implementation status display function module is used to display the implementation status and effects of prevention and control measures.

7. The intelligent early warning and control system for construction safety according to claim 4 is characterized in that: The warning information includes the type, location and recommended measures of the hidden danger, which facilitates on-site personnel and management to respond quickly and take appropriate measures to eliminate the hidden danger. The measures include personnel evacuation, rescue operations, and equipment shutdown to ensure the safety of personnel and equipment.

8. The intelligent early warning and control system for construction safety according to claim 1 is characterized in that: It also includes a safety performance evaluation module, which evaluates the safety performance of the construction site based on historical data and real-time data, including accident rate and hidden danger rectification rate, and provides comprehensive safety performance feedback by regularly generating safety performance reports.

9. The intelligent early warning and control system for construction safety according to claim 1, characterized in that: It also includes an intelligent training module that can provide personalized safety training content and simulation drills based on the construction workers' positions and safety needs.

10. The intelligent early warning and control system for construction safety according to claim 1, characterized in that: It also includes a remote control module for managers to remotely control equipment on the construction site through computers or mobile devices in emergency situations.

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