Intelligent identification and early warning system for safety behaviors of constructors

Abstract

The invention discloses an intelligent recognition and early warning system for safety behaviors of constructors, and the system comprises an information collection module which is used for obtaining a monitoring image collected by a camera at a construction site; the information analysis module is used for analyzing the monitoring information and judging whether a person in the monitoring image is a qualified constructor or not, and if the person is the qualified constructor, the position identity of the constructor is determined; finally, whether the personnel in the monitoring image have potential dangerous behaviors or not is judged, wherein the potential dangerous behaviors include the situation that the personnel do not wear safety helmets or safety vests and stay in unprotected areas; by monitoring the safety condition of a construction site in real time and adopting image processing and behavior recognition, the safety behavior of construction personnel is automatically recognized, potential safety risks are pre-judged, early warning is given out in time, decision support is provided, and the safety of the construction personnel is ensured. And the intelligent decision-making level of engineering construction safety management is improved.

Description

[0001] An intelligent identification and early warning system for construction workers' safety behaviors Technical Field

[0002] The present invention relates to the field of early warning of safety behaviors of construction personnel, and more specifically, to an intelligent early warning system for identifying safety behaviors of construction personnel. Background Art

[0003] With the rapid development of science and technology, the application of intelligent technology in the field of construction engineering is becoming more and more extensive, especially in the safety management of deep foundation pit projects, where its role in real-time monitoring and intelligent early warning of construction workers' safety behaviors is becoming more and more significant. The construction environment of deep foundation pit projects is complex and changeable, involving collaborative operations of multiple types of work. The safety behavior of construction workers is directly related to project safety, personnel life safety, corporate reputation and economic benefits. Traditional manual supervision methods can no longer meet the needs of modern engineering construction safety management, especially in high-risk areas and special working conditions. Real-time and accurate safety supervision has become an important guarantee to ensure the smooth progress of construction. Therefore, it is necessary to develop an intelligent identification and early warning system for construction workers' safety behaviors. Summary of the invention

[0004] In order to achieve these purposes and other advantages according to the present invention, a preferred embodiment of the present invention provides a construction worker safety behavior intelligent identification and early warning system, comprising: An information collection module, which is used to obtain monitoring images collected by cameras at the construction site; The information analysis module is used to analyze the monitoring information and determine whether the personnel in the monitoring image are qualified construction personnel. If they are qualified construction personnel, their job identities are determined; finally, it is determined whether the personnel in the monitoring image have any potential dangerous behaviors, such as not wearing a safety helmet, not wearing a safety vest, and staying in an unprotected area; The alarm module is connected to the information analysis module via a PLC controller. If the information analysis module identifies any potential dangerous behavior, the PLC controller controls the alarm module to issue an alarm reminder.

[0005] In another technical solution, the information acquisition module includes a facial recognition unit, which identifies the image of a person in the monitoring image. The information analysis module compares and identifies the image of the person in the monitoring image and the pre-stored facial information of the construction worker. If they are consistent, the person is determined to be a qualified construction worker. If they are inconsistent, the person is determined to be an unqualified construction worker. The PLC controller controls the alarm module to issue an alarm and send the personnel information to the operation terminal.

[0006] In another technical solution, the information collection module also includes a behavior collection unit, which collects the position information, head image, and back image of the person in the monitoring image; the information analysis module analyzes the position information, head image, and back image of the person collected by the behavior collection unit to determine whether the person is not wearing a safety helmet, not wearing a safety vest, and staying in an unprotected area.

[0007] In another technical solution, the alarm reminder includes a sound reminder, a light reminder or a message notification.

[0008] In another technical solution, the information analysis module compares the head image of the person with pre-stored head images of construction workers to determine whether the person is wearing a safety helmet.

[0009] In another technical solution, the information analysis module compares the back image of the person with the pre-stored back image of the construction worker to determine whether the person is wearing a safety vest.

[0010] In another technical solution, the information collection module also includes a speed monitoring unit, which is used to detect the real-time speed of the person in the monitoring image in real time.

[0011] In another technical solution, the information analysis module determines whether the real-time speed of the person in the monitoring image is greater than a preset value. If it is greater than the preset value, an alarm is issued. If the person in the monitoring image has been stationary for a period of time, the alarm module issues an alarm to remind the person that there may be a dangerous situation.

[0012] In another technical solution, the behavior collection unit collects information in the monitoring image to determine whether a person has fallen and has not gotten up after 10 seconds. If so, the alarm module generates an alarm to remind the person that a dangerous situation may exist.

[0013] The present invention has at least the following beneficial effects: the present invention monitors the safety status of the construction site in real time, uses image processing and behavior recognition, automatically identifies the safety behavior of construction personnel, predicts potential safety risks, issues warnings in a timely manner, and provides decision support. This method not only improves the efficiency and accuracy of safety management, but also greatly reduces the impact of human subjective factors on safety supervision effects, and improves the level of intelligent decision-making in engineering construction safety management.

[0014] Other advantages, objectives and features of the present invention will be embodied in part through the following description, and in part will be understood by those skilled in the art through study and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1It is a schematic diagram of the framework structure of the intelligent identification and early warning system for construction personnel's safety behavior in the present invention. DETAILED DESCRIPTION

[0016] The present invention is further described in detail below in conjunction with the accompanying drawings so that those skilled in the art can implement the invention with reference to the description.

[0017] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0018] Those skilled in the art should understand that, in the disclosure of the present invention, the terms "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the drawings, which are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation. Therefore, the above terms should not be understood as limiting the present invention.

[0019] It is to be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the element may be multiple, and the term "one" should not be understood as a limitation on the quantity.

[0020] like Figure 1 As shown, a preferred embodiment of the present invention provides a construction worker safety behavior intelligent identification and early warning system, comprising: An information collection module, which is used to obtain monitoring images collected by cameras at the construction site; The information analysis module is used to analyze the monitoring information and determine whether the personnel in the monitoring image are qualified construction personnel. If they are qualified construction personnel, their job identities are determined; finally, it is determined whether the personnel in the monitoring image have any potential dangerous behaviors, such as not wearing a safety helmet, not wearing a safety vest, and staying in an unprotected area; The alarm module is connected to the information analysis module via a PLC controller. If the information analysis module identifies any potential dangerous behavior, the PLC controller controls the alarm module to issue an alarm reminder.

[0021] Through the embodiments of the present disclosure, by real-time monitoring of the safety status of the construction site, image processing and behavior recognition algorithms are used to automatically identify the safety behavior of construction personnel, predict potential safety risks, issue warnings in a timely manner and provide decision support. This method not only improves the efficiency and accuracy of safety management, but also greatly reduces the impact of human subjective factors on safety supervision effects.

[0022] An important part of construction safety monitoring is to ensure that only personnel with appropriate qualifications and experience can enter the construction area. This process not only improves the accuracy and safety of access control, but also reduces human errors and management loopholes, ensuring the safety of the construction area.

[0023] In this embodiment, the information acquisition module includes a facial recognition unit, which identifies the image of a person in the monitoring image. The information analysis module compares and identifies the image of the person in the monitoring image and the pre-stored facial information of the construction worker. If they are consistent, the person is determined to be a qualified construction worker. If they are inconsistent, the person is determined to be an unqualified construction worker. The PLC controller controls the alarm module to issue an alarm reminder and sends the personnel information to the operation terminal.

[0024] Facial recognition technology plays a clear role in identity authentication and access control. On site, after construction workers complete identity authentication through facial recognition equipment, the system will compare the personnel information stored in the database to determine whether the person is allowed to enter the construction site. Facial recognition can play a key role in improving construction safety, ensuring personnel identity authentication and access control, and strengthening supervision of construction behavior.

[0025] In another technical solution, the information collection module also includes a behavior collection unit, which collects the position information, head image, and back image of the person in the monitoring image; the information analysis module analyzes the position information, head image, and back image of the person collected by the behavior collection unit to determine whether the person is not wearing a safety helmet, not wearing a safety vest, and staying in an unprotected area.

[0026] The information analysis module compares the head image of the person with the pre-stored head image of the construction worker to determine whether the person is wearing a safety helmet.

[0027] The information analysis module compares the back image of the person with the pre-stored back image of the construction worker to determine whether the person is wearing a safety vest.

[0028] Once these unsafe behaviors are detected, the system will immediately issue an alarm to alert managers or automatically take preventive measures.

[0029] In this embodiment, the alarm reminder includes a sound reminder, a light reminder or an information notification.

[0030] In this embodiment, the information collection module further includes a speed monitoring unit, which is used to detect the real-time speed of the person in the monitoring image in real time.

[0031] According to the embodiments of the present disclosure, when the speed is too fast, if it is greater than a preset value, an alarm is generated.

[0032] In this embodiment, the information analysis module determines whether the real-time speed of the person in the monitoring image is greater than a preset value. If it is greater than the preset value, an alarm is issued. If the person in the monitoring image has been stationary for a period of time, the alarm module will issue an alarm reminder to remind the person that there may be a dangerous situation. This situation is generally because the person has an accident and cannot move, so monitoring and alarm reminders are required.

[0033] In this embodiment, the behavior collection unit collects information in the monitoring image to determine whether a person has fallen and has not gotten up after 10 seconds. If so, the alarm module generates an alarm to remind the person that a dangerous situation may occur.

[0034] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the boxes may also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0035] Although the embodiments of the present invention have been disclosed as above, they are not limited to the applications listed in the specification and the implementation modes, and they can be fully applied to various fields suitable for the present invention. For those familiar with the art, additional modifications can be easily implemented. Therefore, without departing from the general concept defined by the claims and the scope of equivalents, the present invention is not limited to the specific details and the illustrations shown and described herein.

Claims

1. An intelligent identification and early warning system for construction workers' safety behaviors, characterized in that: include: An information collection module, which is used to obtain monitoring images collected by cameras at the construction site; The information analysis module is used to analyze the monitoring information and determine whether the personnel in the monitoring image are qualified construction personnel. If they are qualified construction personnel, their job identities are determined; finally, it is determined whether the personnel in the monitoring image have any potential dangerous behaviors, such as not wearing a safety helmet, not wearing a safety vest, and staying in an unprotected area; The alarm module is connected to the information analysis module via a PLC controller. If the information analysis module identifies any potential dangerous behavior, the PLC controller controls the alarm module to issue an alarm reminder.

2. The intelligent identification and early warning system for construction personnel safety behavior according to claim 1 is characterized in that: The information acquisition module includes a facial recognition unit, which identifies the image of a person in the monitoring image. The information analysis module compares and identifies the image of the person in the monitoring image and the pre-stored facial information of the construction personnel. If they are consistent, the person is determined to be a qualified construction personnel. If they are inconsistent, the person is determined to be an unqualified construction personnel. The PLC controller controls the alarm module to issue an alarm reminder and send the personnel information to the operation terminal.

3. The intelligent identification and early warning system for construction personnel safety behavior according to claim 2 is characterized in that: The information collection module also includes a behavior collection unit, which collects the position information, head image, and back image of the personnel in the monitoring image; the information analysis module analyzes the position information, head image, and back image of the personnel collected by the behavior collection unit to determine whether they are not wearing a safety helmet, not wearing a safety vest, and staying in an unprotected area.

4. The intelligent identification and early warning system for construction personnel safety behavior according to claim 1 is characterized in that: Alarm reminders include sound reminders, light reminders or message notifications.

5. The intelligent identification and early warning system for construction personnel safety behavior according to claim 3 is characterized in that: The information analysis module compares the head image of the person with the pre-stored head image of the construction worker to determine whether the person is wearing a safety helmet.

6. The intelligent identification and early warning system for safety behavior of construction personnel according to claim 3 is characterized in that: The information analysis module compares the back image of the person with the pre-stored back image of the construction worker to determine whether the person is wearing a safety vest.

7. The intelligent identification and early warning system for safety behavior of construction personnel according to claim 1 is characterized in that: The information collection module also includes a speed monitoring unit, which is used to detect the real-time speed of the person in the monitoring image in real time.

8. The intelligent identification and early warning system for safety behaviors of construction personnel according to claim 7 is characterized in that: The information analysis module determines whether the real-time speed of the person in the monitoring image is greater than a preset value. If it is greater than the preset value, an alarm is issued. If the person in the monitoring image has been stationary for a period of time, the alarm module issues an alarm to remind the person that there may be a dangerous situation.

9. The intelligent identification and early warning system for safety behavior of construction personnel according to claim 3 is characterized in that: The behavior collection unit collects information in the monitoring image to determine whether a person has fallen and has not gotten up after 10 seconds. If so, the alarm module generates an alarm to remind the person that a dangerous situation may exist.

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