CN113408683A - Construction site safety supervision method and system - Google Patents
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Abstract
The present disclosure provides a construction site safety supervision method and system, including: obtaining relevant vehicle information and constructor information of a construction site in advance, and constructing a two-dimensional scene model based on construction site data; marking a dangerous area in the two-dimensional scene model; acquiring images of vehicles and personnel entering and exiting a construction site, and verifying the identities of the vehicles and the personnel based on an image recognition algorithm; recording the action track of the constructors in real time based on RFID chips on the constructor safety helmets and RFID signal acquisition devices uniformly arranged in a construction site; when detecting that the constructor enters the early warning range of the dangerous area, controlling an alarm device arranged in the dangerous area to carry out early warning, and realizing the safety supervision of a construction site.
Description
Technical Field
The disclosure belongs to the technical field of construction site safety supervision, and particularly relates to a construction site safety supervision method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
On the one hand, the construction site relates to the transportation of a large amount of mechanical equipment and various construction materials, has the condition that various haulage vehicle frequently pass in and out the building site, and simultaneously, building site construction time cycle is longer, has the business turn over building site of constructor and supervisory personnel's reciprocity, consequently, carries out reasonable supervision to construction site business turn over vehicle and personnel, is the important basis of guarantee building site engineering progress, personnel and property safety. On the other hand, the construction site environment is complex, most constructors are low in education degree, identification of dangerous areas (such as smoke forbidden areas and high-voltage equipment areas) cannot be accurately identified, the constructors easily enter the dangerous areas by mistake, and personnel injury and unnecessary property loss are caused. The inventor finds that the manual recording mode is usually adopted for the entry and exit of a transport vehicle on the current construction site, the monitoring degree for the entry and exit of constructors is more random, the identity information of the constructors cannot be effectively identified, and the situations of replacement work and the like exist; meanwhile, for many dangerous areas, only corresponding warning marks are set, and a high-quality warning effect cannot be effectively generated on constructors; and it is difficult to effectively determine the person responsible for the accident after the accident occurs.
Disclosure of Invention
In order to solve the problems, the present disclosure provides a method and a system for monitoring and managing safety of a construction site, wherein the method and the system perform identification and management on vehicles and personnel entering and exiting the construction site, and perform trajectory tracking and warning of mistaken entry in a dangerous area on entering personnel, thereby effectively ensuring safety of facilities and personnel in the construction site, and effectively reducing a discrimination range of accident responsible persons for accidents caused by human factors.
According to a first aspect of the embodiments of the present disclosure, there is provided a method for supervising safety of a construction site, including:
obtaining relevant vehicle information and constructor information of a construction site in advance, and constructing a two-dimensional scene model based on construction site data; marking a dangerous area in the two-dimensional scene model;
acquiring images of vehicles and personnel entering and exiting a construction site, and verifying the identities of the vehicles and the personnel based on an image recognition algorithm;
recording the action track of the constructors in real time based on RFID chips on the constructor safety helmets and RFID signal acquisition devices uniformly arranged in a construction site;
when detecting that the constructor enters the early warning range of the dangerous area, controlling an alarm device arranged in the dangerous area to carry out early warning, and realizing the safety supervision of a construction site.
Further, the construction site data-based two-dimensional scene model is constructed, specifically, a two-dimensional scene electronic map of the construction site data is constructed according to a construction site ground layout map and various matched equipment and facility maps, and the positions of the RFID signal acquisition device and the dangerous area are marked on the two-dimensional scene electronic map.
Further, the real-time recording of the action trajectory of the constructor specifically includes: the RFID signal acquisition device is used for acquiring the RFID information on the safety helmet of the constructor, and the action track of the constructor is determined according to the time sequence of the same RFID information acquired by the RFID signal acquisition devices at different positions based on the uniqueness of the RFID information.
And further, recording the action tracks of the constructors, and when a safety accident occurs, determining the person responsible for the accident by comparing the action tracks.
Furthermore, for visitor personnel, quick face brushing input is adopted, only team groups and time information are recorded, a WeChat two-dimensional code scanning input mode is established, visitor information is filled through WeChat two-dimensional codes, and quick face brushing access is realized through background approval after face recognition.
According to a second aspect of the embodiments of the present disclosure, there is provided a job site safety supervision system, including:
the model construction unit is used for acquiring relevant vehicle information and constructor information of a construction site in advance and constructing a two-dimensional scene model based on construction site data; marking a dangerous area in the two-dimensional scene model;
the identity authentication unit is used for acquiring images of vehicles and personnel entering and exiting the construction site and authenticating the identities of the vehicles and the personnel based on an image recognition algorithm;
the action track determining unit is used for recording the action track of the constructors in real time based on the RFID chips on the constructor safety helmets and the RFID signal collecting devices uniformly arranged in the construction site;
and the early warning unit is used for controlling an alarm device arranged in the dangerous area to carry out early warning when detecting that the constructor enters the early warning range of the dangerous area, so as to realize the safety supervision of the construction site.
Compared with the prior art, the beneficial effect of this disclosure is:
(1) the scheme provided by the invention identifies and manages the identity of vehicles and personnel entering and exiting the construction site, and meanwhile, tracks of entering personnel and false entering warning of dangerous areas are carried out, so that the safety of facilities and personnel on the construction site is effectively ensured.
(2) The scheme disclosed by the disclosure is based on RFID chips on safety helmets of constructors and RFID signal acquisition devices uniformly arranged in a construction site, and the action tracks of the constructors are recorded in real time; and recording the action tracks of the constructors, and when a safety accident occurs, determining the person responsible for the accident by comparing the action tracks. Through the scheme, the discrimination range of the accident responsible person can be effectively reduced aiming at the accident caused by people.
(3) According to the scheme, when the RFID signal acquisition device at the position of the dangerous area obtains that a constructor approaches, the background server sends a signal to the warning device of the dangerous area to perform early warning; meanwhile, the names of the construction personnel are determined through the collected RFID signals, and the management personnel conduct criticizing education in the later period, so that the problem that the construction personnel mistakenly enter a dangerous area and further cause personnel damage and unnecessary property loss is effectively avoided.
Advantages of additional aspects of the disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the disclosure.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
Fig. 1 is a flowchart of a method for supervising construction site safety in a first embodiment of the disclosure.
Detailed Description
The present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
The first embodiment is as follows:
the embodiment aims to provide a construction site safety supervision method,
a construction site safety supervision method comprises the following steps:
obtaining relevant vehicle information and constructor information of a construction site in advance, and constructing a two-dimensional scene model based on construction site data; marking a dangerous area in the two-dimensional scene model;
acquiring images of vehicles and personnel entering and exiting a construction site, and verifying the identities of the vehicles and the personnel based on an image recognition algorithm;
recording the action track of the constructors in real time based on RFID chips on the constructor safety helmets and RFID signal acquisition devices uniformly arranged in a construction site;
when detecting that the constructor enters the early warning range of the dangerous area, controlling an alarm device arranged in the dangerous area to carry out early warning, and realizing the safety supervision of a construction site.
Firstly, the implementation of the solution described in the present disclosure requires the following preparatory work to be performed in advance:
(1) construction of a scene model
Considering that a construction site is complex, scene change in the construction site is large along with increase of construction time, if a three-dimensional scene model is constructed, the three-dimensional scene model needs to be continuously adjusted along with increase of construction time, and work is complex, so that the construction site is modeled by the two-dimensional scene electronic map, and later modification is less and modification is convenient.
The construction site data-based two-dimensional scene model is constructed, specifically, a two-dimensional scene electronic map of construction site data is constructed according to a construction site ground layout map and various matched equipment and facility maps, and the positions of an RFID signal acquisition device and a dangerous area are marked on the two-dimensional scene electronic map.
(2) People and vehicle data statistics
This disclosure the scheme needs to make statistics to constructor and the relevant vehicle of construction site in advance, specifically as follows:
1) statistics of personnel data
For construction related personnel, relevant information such as faces, identity cards and the like of the participating personnel is collected and bound, and the participating personnel real-name management is realized by adopting three verification modes of face recognition, card swiping verification, face recognition and card swiping combination based on a face recognition terminal.
2) Vehicle data statistics
The intelligent chemical management platform records vehicle related information including license plate number, vehicle body color, vehicle model, vehicle affiliated unit, contact person and the like.
Secondly, acquiring images of vehicles and personnel entering and exiting the construction site, and verifying the identities of the vehicles and the personnel based on an image recognition algorithm; the method specifically comprises the following steps:
(1) person identification
For personnel (constructors and visitor personnel) entering and exiting a construction site, the entering time and the leaving time of all the personnel are automatically collected and recorded by compiling a corresponding program and combining a face recognition terminal, the entering personnel statistical information is formed, the functions of summarizing and analyzing the quantity of the personnel are realized, and a corresponding database is constructed to store the information.
Wherein, to visitor's personnel, adopt quick face-brushing to type in, only record simple information such as group and time. Establishing a WeChat two-dimensional code scanning code input, realizing that the WeChat two-dimensional code scanning code fills visitor information, and carrying out face recognition and then carrying out approval by a background auditor to realize quick face brushing and entering.
Furthermore, according to the scheme of the disclosure, an infrared automatic body temperature measuring device is added in the face recognition terminal, the body temperature of the entering personnel is rapidly detected, the alarm is given to the personnel with abnormal body temperature according to the body temperature threshold set by the system, and the alarm information is pushed to the related personnel.
(2) Vehicle identification
When a vehicle enters and exits, the vehicle data acquisition module acquires, analyzes, processes, stores and uploads vehicle data, the background management platform completes access, comparison, recording, analysis and sharing of vehicle data information, automatically completes recognition of vehicle license plates, recording of license plate numbers, vehicle body colors, entering/leaving time and the like, and the database is built through the background server for storage.
Further, in order to better manage and control the entering and exiting vehicles, in this embodiment, vehicle barrier devices are arranged at an entrance and an exit of a sub-packet area, an entrance and an exit of an office field of a general packet unit, and an entrance and an exit of a construction site, so that management and control of vehicle license plate information, attribution information and vehicle type information are realized.
The method comprises the steps of performing two links of vehicle registration and personnel registration on unregistered vehicles, binding vehicle information and personnel information, and defining a first person responsible for the vehicles. The vehicle access management carries out all-round management to vehicle access information, carries out intelligent inquiry, statistics, analysis according to the access data to and with video monitoring system, personnel management system's butt joint, organically integrate single data, form valuable data link, provide powerful support for the safe, efficient management in wisdom building site.
For fixed vehicles and temporary vehicles entering and exiting an item, relevant management and control strategies can be configured, and a vehicle blacklist can be set. Wherein, for a stationary vehicle: the license plate can enter the field when the identification and comparison are correct, and no operation is needed. For a scene with higher management and control requirements, the vehicle card is required to be consistent, namely, the vehicle can enter the scene only when the two authentication modes pass through simultaneously; for a temporary vehicle: the temporary vehicle clearance can be carried out in two modes of filling information by WeChat code scanning or card fetching by parking registration.
Further, acquiring images of vehicles and personnel entering and exiting the construction site, and verifying the identities of the vehicles and the personnel based on an image recognition algorithm; the image recognition algorithm may use an existing neural network-based algorithm (e.g., DBN, CNN, etc.), and since such an algorithm is relatively mature, it is not described herein again.
Further, the real-time recording of the action trajectory of the constructor specifically includes: the RFID signal acquisition device is used for acquiring the RFID information on the safety helmet of the constructor, and the action track of the constructor is determined according to the time sequence of the same RFID information acquired by the RFID signal acquisition devices at different positions based on the uniqueness of the RFID information. And recording the action tracks of the constructors, and when a safety accident occurs, determining the person responsible for the accident by comparing the action tracks. For example: if the fire disaster happens in the fire forbidden area of the construction site, the personnel entering the area in a specific time period can be inquired through the recorded personnel action track if the fire disaster is determined as a factor, and then the range of the investigation personnel can be effectively reduced.
Furthermore, when detecting that the constructor enters the early warning range of the dangerous area, the early warning device arranged in the dangerous area is controlled to carry out early warning, and the safety supervision of the construction site is realized. The early warning range is set according to the position of a dangerous area in the two-dimensional electronic map and a preset safety range, and when the RFID signal acquisition device at the position of the dangerous area obtains that a constructor approaches, the background server sends a signal to an alarm device of the dangerous area to perform early warning; meanwhile, the names of the construction personnel are determined through the collected RFID signals, and the management personnel conduct criticizing education in the later period, so that the problem that the construction personnel mistakenly enter a dangerous area and further cause personnel damage and unnecessary property loss is effectively avoided.
Example two:
the embodiment aims at providing a construction site safety supervision system.
A job site safety supervision system comprising:
the model construction unit is used for acquiring relevant vehicle information and constructor information of a construction site in advance and constructing a two-dimensional scene model based on construction site data; marking a dangerous area in the two-dimensional scene model;
the identity authentication unit is used for acquiring images of vehicles and personnel entering and exiting the construction site and authenticating the identities of the vehicles and the personnel based on an image recognition algorithm;
the action track determining unit is used for recording the action track of the constructors in real time based on the RFID chips on the constructor safety helmets and the RFID signal collecting devices uniformly arranged in the construction site;
and the early warning unit is used for controlling an alarm device arranged in the dangerous area to carry out early warning when detecting that the constructor enters the early warning range of the dangerous area, so as to realize the safety supervision of the construction site.
The construction site safety supervision method and the construction site safety supervision system can be realized and have wide application prospects.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Claims (10)
1. A construction site safety supervision method is characterized by comprising the following steps:
obtaining relevant vehicle information and constructor information of a construction site in advance, and constructing a two-dimensional scene model based on construction site data; marking a dangerous area in the two-dimensional scene model;
acquiring images of vehicles and personnel entering and exiting a construction site, and verifying the identities of the vehicles and the personnel based on an image recognition algorithm;
recording the action track of the constructors in real time based on RFID chips on the constructor safety helmets and RFID signal acquisition devices uniformly arranged in a construction site;
when detecting that the constructor enters the early warning range of the dangerous area, controlling an alarm device arranged in the dangerous area to carry out early warning, and realizing the safety supervision of a construction site.
2. The method for supervising the safety of the construction site according to claim 1, wherein the two-dimensional scene model is constructed based on the construction site data, and specifically, a two-dimensional scene electronic map of the construction site data is constructed according to a construction site ground layout map and various matched equipment and facility maps, and the positions of the RFID signal acquisition device and the dangerous area are marked on the two-dimensional scene electronic map.
3. The method for supervising construction site safety according to claim 1, wherein the real-time recording of the action trajectory of the constructor is specifically as follows: the RFID signal acquisition device is used for acquiring the RFID information on the safety helmet of the constructor, and the action track of the constructor is determined according to the time sequence of the same RFID information acquired by the RFID signal acquisition devices at different positions based on the uniqueness of the RFID information.
4. The method as claimed in claim 1, wherein the action trajectory of the constructor is recorded, and when a safety accident occurs, the accident responsible person is determined by comparing the action trajectories.
5. The method for supervising the safety of the construction site according to claim 1, wherein for the visitor, quick face brushing input is adopted, only team and time information is recorded, a WeChat two-dimensional code scanning input mode is established, the visitor information is filled through WeChat two-dimensional code scanning, and quick face brushing input is realized through background approval after face recognition.
6. The method of claim 1, wherein the vehicle information includes license plate number, color of vehicle body, vehicle model, unit of vehicle, contact person; the constructor information includes a name, a face image and an identification number.
7. A job site safety supervisory system, comprising:
the model construction unit is used for acquiring relevant vehicle information and constructor information of a construction site in advance and constructing a two-dimensional scene model based on construction site data; marking a dangerous area in the two-dimensional scene model;
the identity authentication unit is used for acquiring images of vehicles and personnel entering and exiting the construction site and authenticating the identities of the vehicles and the personnel based on an image recognition algorithm;
the action track determining unit is used for recording the action track of the constructors in real time based on the RFID chips on the constructor safety helmets and the RFID signal collecting devices uniformly arranged in the construction site;
and the early warning unit is used for controlling an alarm device arranged in the dangerous area to carry out early warning when detecting that the constructor enters the early warning range of the dangerous area, so as to realize the safety supervision of the construction site.
8. The system according to claim 7, wherein the real-time recording of the action trajectory of the constructor is specifically: the RFID signal acquisition device is used for acquiring the RFID information on the safety helmet of the constructor, and the action track of the constructor is determined according to the time sequence of the same RFID information acquired by the RFID signal acquisition devices at different positions based on the uniqueness of the RFID information.
9. The system as claimed in claim 1, wherein the action trajectory of the constructor is recorded, and when a safety accident occurs, the accident responsible person is determined by comparing the action trajectories.
10. The system as claimed in claim 7, wherein for the visitor, quick face-brushing input is adopted, only team and time information is recorded, a WeChat two-dimensional code scanning input mode is established, the visitor information is filled through WeChat two-dimensional code scanning, and quick face-brushing input is realized through background approval after face recognition.
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114187740A (en) * | 2021-12-09 | 2022-03-15 | 广联达科技股份有限公司 | Safety belt and state monitoring method and safety monitoring system thereof |
CN114358228A (en) * | 2022-01-06 | 2022-04-15 | 宝武集团鄂城钢铁有限公司 | Dangerous source management system based on two-dimensional code |
CN114821960A (en) * | 2022-06-27 | 2022-07-29 | 中建安装集团有限公司 | Active safety protection system for building site personnel based on narrowband Internet of things technology |
CN115376275A (en) * | 2022-10-25 | 2022-11-22 | 山东工程职业技术大学 | Construction safety warning method and system based on image processing |
CN115691040A (en) * | 2022-09-07 | 2023-02-03 | 保利长大工程有限公司 | Safe distance judgment type bridge construction early warning system |
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107679591A (en) * | 2017-08-30 | 2018-02-09 | 深圳市易联智道科技有限公司 | Construction site workmen's real-time location method based on safety |
CN109151383A (en) * | 2018-07-21 | 2019-01-04 | 中铁十八局集团有限公司 | One kind being based on BIM tunnel safety monitoring information early warning system |
CN109803127A (en) * | 2019-03-08 | 2019-05-24 | 重庆启迪国信科技有限公司 | Urban safety building site monitoring system and method based on big data and technology of Internet of things |
CN111784967A (en) * | 2020-07-23 | 2020-10-16 | 南通市达欣工程股份有限公司 | Building construction safety early warning protection system based on BIM |
-
2021
- 2021-07-06 CN CN202110764295.XA patent/CN113408683A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107679591A (en) * | 2017-08-30 | 2018-02-09 | 深圳市易联智道科技有限公司 | Construction site workmen's real-time location method based on safety |
CN109151383A (en) * | 2018-07-21 | 2019-01-04 | 中铁十八局集团有限公司 | One kind being based on BIM tunnel safety monitoring information early warning system |
CN109803127A (en) * | 2019-03-08 | 2019-05-24 | 重庆启迪国信科技有限公司 | Urban safety building site monitoring system and method based on big data and technology of Internet of things |
CN111784967A (en) * | 2020-07-23 | 2020-10-16 | 南通市达欣工程股份有限公司 | Building construction safety early warning protection system based on BIM |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114187740A (en) * | 2021-12-09 | 2022-03-15 | 广联达科技股份有限公司 | Safety belt and state monitoring method and safety monitoring system thereof |
CN114358228A (en) * | 2022-01-06 | 2022-04-15 | 宝武集团鄂城钢铁有限公司 | Dangerous source management system based on two-dimensional code |
CN114821960A (en) * | 2022-06-27 | 2022-07-29 | 中建安装集团有限公司 | Active safety protection system for building site personnel based on narrowband Internet of things technology |
CN115691040A (en) * | 2022-09-07 | 2023-02-03 | 保利长大工程有限公司 | Safe distance judgment type bridge construction early warning system |
CN115376275A (en) * | 2022-10-25 | 2022-11-22 | 山东工程职业技术大学 | Construction safety warning method and system based on image processing |
CN115376275B (en) * | 2022-10-25 | 2023-02-10 | 山东工程职业技术大学 | Construction safety warning method and system based on image processing |
CN115984782A (en) * | 2023-03-17 | 2023-04-18 | 青岛文达通科技股份有限公司 | Safety monitoring method and system based on image processing |
CN116403325A (en) * | 2023-04-03 | 2023-07-07 | 青岛地铁集团有限公司 | Intelligent personnel control method based on multi-information source information fusion |
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