CN111429107A - Intelligent construction site management system - Google Patents
Intelligent construction site management system Download PDFInfo
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- CN111429107A CN111429107A CN202010270381.0A CN202010270381A CN111429107A CN 111429107 A CN111429107 A CN 111429107A CN 202010270381 A CN202010270381 A CN 202010270381A CN 111429107 A CN111429107 A CN 111429107A
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- G06Q10/10—Office automation; Time management
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The invention discloses an intelligent construction site management system which comprises an access control module, a storage module and a management module, wherein the access control module is erected at each access of a construction site and is used for receiving input identity authentication information and controlling the access control to be opened or closed according to the identification result of the identity authentication information; the dangerous action recognition module is used for recognizing dangerous actions through a camera erected on a construction site, a GPS positioning module worn on each worker, a working condition acquisition module and an airborne GPS positioning module which are configured in a control panel of machinery on the construction site, and starting a corresponding early warning module to realize dangerous early warning; the construction site dust monitoring and managing module is used for regular fixed-point inspection of construction site dust and outputting a corresponding dust management strategy according to a monitoring result; and the project progress management module is used for realizing the registration management of the project progress of the construction site. The invention can effectively improve the management level and the management efficiency of the construction site and simultaneously improve the construction safety.
Description
Technical Field
The invention relates to the field of intelligent monitoring, in particular to an intelligent construction site management system.
Background
The existing construction site generally has the problems that feedback is not timely in personnel management and safety management, each data stream cannot be analyzed in real time to form timely feedback, potential safety hazards such as inadequate monitoring, various illegal operations and civilized construction exist in construction site management, and safety production and engineering quality management are affected.
Disclosure of Invention
In order to solve the problems, the invention provides an intelligent construction site management system which can effectively improve the management level and the management efficiency of a construction site and improve the construction safety.
In order to achieve the purpose, the invention adopts the technical scheme that:
an intelligent worksite management system, comprising:
the entrance guard module is erected at each entrance and exit of the construction site and used for receiving the input identity authentication information and controlling the entrance guard to be opened and closed according to the identification result of the identity authentication information;
the dangerous action recognition module is used for recognizing dangerous actions through a camera erected on a construction site, a GPS positioning module worn on each worker, a working condition acquisition module and an airborne GPS positioning module which are configured in a control panel of machinery on the construction site, and starting a corresponding early warning module to realize dangerous early warning;
the construction site dust monitoring and managing module is used for regular fixed-point inspection of construction site dust and outputting a corresponding dust management strategy according to a monitoring result;
and the project progress management module is used for realizing the registration management of the project progress of the construction site.
Furthermore, the camera is used for collecting working state video images of workers and working state video images of engineering machinery, the dangerous action identification module calls a video frame taking script, one image is obtained at a certain frame number, a generated target detection model is used for detecting each image, whether the image is abnormal or not is judged, if the image is abnormal, the abnormal part is marked with a position frame and an abnormal category, and meanwhile, a corresponding early warning module is started to carry out dangerous early warning.
Further, the gesture collection module comprises a GPS positioning module, a circuit board and a GPS chip, wherein the circuit board is embedded in the belt box, the circuit board is provided with the GPS chip, the RFID chip and the electronic compass chip, the GPS chip is internally provided with a central processing module, a GPS input signal enters the central processing module through a noise suppression module and a gain amplification module, a GPS output signal is output through a modulation module, and the RFID chip carries worker identity information and the electronic compass chip are connected with the central processing module.
Further, the working condition acquisition module is used for acquiring the central control panel working condition of the construction site machinery, the dangerous action recognition module receives the hollow panel working condition data and outputs the dynamic state diagram of each working machine action end according to the central control panel working condition, and when the hollow panel working condition is recorded into a preset early warning threshold, the corresponding early warning module is started.
Furthermore, the airborne GPS positioning module is used for realizing real-time feedback of the position of the construction site machine, the dangerous action identification module receives positioning information of the construction site machine, calculation of the distance value between the construction site machine and a worker is realized based on the positioning information and positioning information returned by the worker, and when a calculated result falls into a preset threshold, the corresponding early warning module is started.
Further, building site dust monitoring management module is based on the robot realization of crawling that loads dust detector and dust clearance appearance, the robot of crawling drives the dust detector and reaches appointed place according to the route of predetermineeing, realize that the timing fixed point of building site dust is patrolled and examined, and send the testing result to the cloud platform in real time, the corresponding dust management strategy of cloud platform output according to the monitoring result is to crawling robot and dust clearance appearance, the robot of crawling drives the dust clearance appearance according to the dust clearance route of dust management strategy internal load and reaches appointed place, the clearance of dust is realized to the mode of corresponding according to the dust clearance mode data switching of dust management strategy internal load to the dust clearance appearance.
Further, engineering progress management module patrols and examines through unmanned aerial vehicle and regularly fixes a point and carry out the collection of building site image to realize the visual record of engineering progress, the user can realize the type-in of engineering progress through man-machine operation module with established template as required, and this template includes at least that building site image fills frame and engineering progress type-in frame.
The invention has the following beneficial effects:
the system can realize real-time positioning of on-site construction personnel, equipment and materials, effectively acquire position information, time information, track information and the like of the personnel, the mechanical equipment and the materials, discover abnormal behaviors in time, realize joint action of automatic supervision facilities, improve emergency response speed and handling speed of events, change passive management into active intelligent management, effectively improve management level and management efficiency of a construction site, and improve construction safety.
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FIG. 1 is a block diagram of an intelligent worksite management system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, an embodiment of the invention provides a smart construction site management system, which comprises a cloud platform, a dangerous action recognition module, an engineering progress management module, a construction site dust monitoring management module, an access control module and a management terminal, wherein the dangerous action recognition module, the engineering progress management module and the construction site dust monitoring management module are loaded in the cloud platform, the access control module and the management terminal are in wireless communication with the cloud platform, and the access control module is erected at each entrance and exit of a construction site and is used for receiving input identity authentication information and controlling the opening and closing of an access control according to a recognition result of; the dangerous action recognition module realizes the recognition of dangerous actions through a camera erected on a construction site, a GPS positioning module worn on each worker, a working condition acquisition module and an onboard GPS positioning module which are configured in a mechanical central control panel of the construction site, and starts a corresponding early warning module to realize dangerous early warning; the construction site dust monitoring and management module realizes the timed and fixed-point inspection of construction site dust through a crawling robot loaded with a dust detector and a dust cleaner, and outputs a corresponding dust management strategy according to a monitoring result; the engineering progress management module patrols and examines through unmanned aerial vehicle and regularly fixes a point and carry out the collection of building site image to realize the visual record of engineering progress, can realize the visual feedback of material current conditions simultaneously, the user can realize the type-in of engineering progress with established template through the man-machine operation module of management terminal as required, and this template includes building site image filling frame and engineering progress type-in frame at least, can realize the call of the interior data of authority through visiting the cloud platform after the management terminal registration login.
In the embodiment, the camera is used for collecting a working state video image of a worker and a working state video image of an engineering machine, the dangerous action identification module calls a video frame taking script to obtain an image at intervals of a certain number of frames, each image is detected by using a generated target detection model to judge whether the image is abnormal or not, if the image is abnormal, the abnormal part is marked with a position frame and an abnormal category, and each image carries position data of the camera, so that the position of the abnormal part can be found quickly; and simultaneously starting the corresponding early warning module to carry out danger early warning. The target detection model adopts a DSOD algorithm to realize target detection, an initiation v2 deep neural network is pre-trained by a coco data set, then the model is trained by a previously prepared data set, various parameters in the deep neural network are finely adjusted, and finally a suitable target detection model for worker behavior abnormity and work machine action abnormity is obtained.
In this embodiment, the gesture collection module includes that GPS orientation module includes the waistband box, the embedded circuit board of installing in the waistband box, install GPS chip, RFID chip and electron compass chip on the circuit board, be equipped with a central processing module in the GPS chip, GPS input signal gets into central processing module through noise suppression module and gain amplification module, and GPS output signal exports through the modulation module, carries workman's identity information in the RFID chip, and electron compass chip links to each other with central processing module. The model of the RFID chip is FM11RF08, the model of the electronic compass chip is HMC5843, and the central processing module adopts a singlechip.
In this embodiment, operating mode collection module is used for gathering the well accuse dish operating mode of building site machinery, and cavity dish operating mode data and the dynamic state picture of each work machine action end is exported according to well accuse dish operating mode to dangerous action recognition module receipt, and when the cavity dish operating mode was typeeed preset early warning threshold, the early warning module that corresponds started.
In this embodiment, the onboard GPS positioning module is used to implement real-time feedback of the location of the construction site machine, the dangerous motion recognition module receives positioning information of the construction site machine, and calculates a distance value between the construction site machine and a worker based on the positioning information and positioning information returned by the worker, and when a result obtained by the calculation falls within a preset threshold, the corresponding early warning module is started.
In this embodiment, building site dust monitoring management module realizes based on the robot of crawling that loads dust detector and dust clearance appearance, the robot of crawling drives the dust detector and reaches appointed place according to the route of predetermineeing, realize that the timing fixed point of building site dust is patrolled and examined, and send the cloud platform with the testing result in real time, the cloud platform exports the dust management strategy that corresponds to crawling robot and dust clearance appearance according to the monitoring result, the robot of crawling drives the dust clearance appearance according to the dust clearance route of dust management strategy internal load and reaches appointed place, the clearance of dust is realized to the mode of corresponding work according to the dust clearance mode data switching of dust management strategy internal load to the dust clearance appearance.
In this embodiment, the early warning modules each include a site buzzing early warning device and a remote early warning module, the remote early warning module realizes early warning in a mode of automatic short message editing and sending, during early warning, first extracts feature data of a received early warning signal, calls a corresponding early warning short message template in an early warning short message template database, edits the early warning short message in an automatic blank filling mode, and sends the early warning short message to a specified mobile terminal according to the feature data after editing is completed.
In this embodiment, the working condition acquisition module acquires current self-state data of the central control panel based on the sensor group, and acquires current working state data of the engineering machinery based on the three-dimensional attitude sensors internally loaded in the steering wheel and the operation switches.
In this embodiment, the cloud platform is configured with a data storage module for completely recording all historical data.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (7)
1. Wisdom building site management system, its characterized in that: the method comprises the following steps:
the entrance guard module is erected at each entrance and exit of the construction site and used for receiving the input identity authentication information and controlling the entrance guard to be opened and closed according to the identification result of the identity authentication information;
the dangerous action recognition module is used for recognizing dangerous actions through a camera erected on a construction site, a GPS positioning module worn on each worker, a working condition acquisition module and an airborne GPS positioning module which are configured in a control panel of machinery on the construction site, and starting a corresponding early warning module to realize dangerous early warning;
the construction site dust monitoring and managing module is used for regular fixed-point inspection of construction site dust and outputting a corresponding dust management strategy according to a monitoring result;
and the project progress management module is used for realizing the registration management of the project progress of the construction site.
2. The intelligent worksite management system of claim 1, wherein: the camera is used for collecting working state video images of workers and working state video images of engineering machinery, the dangerous action identification module calls a video frame taking script to obtain one image at a certain frame number, a generated target detection model is used for detecting each image to judge whether the image is abnormal or not, if the image is abnormal, the abnormal part is marked with a position frame and an abnormal category, and meanwhile, a corresponding early warning module is started to carry out dangerous early warning.
3. The intelligent worksite management system of claim 1, wherein: the gesture collection module comprises a GPS positioning module, a circuit board and a central processing module, wherein the circuit board is embedded in the belt box, the circuit board is provided with a GPS chip, an RFID chip and an electronic compass chip, the GPS chip is internally provided with the central processing module, a GPS input signal enters the central processing module through the noise suppression module and the gain amplification module, a GPS output signal is output through the modulation module, and the RFID chip carries worker identity information and is connected with the electronic compass chip and the central processing module.
4. The intelligent worksite management system of claim 1, wherein: the working condition acquisition module is used for acquiring the central control panel working condition of the construction site machinery, the dangerous action recognition module receives the hollow panel working condition data and outputs the dynamic state diagram of each working machine working end according to the central control panel working condition, and when the hollow panel working condition is recorded into a preset early warning threshold, the corresponding early warning module is started.
5. The intelligent worksite management system of claim 1, wherein: the airborne GPS positioning module is used for realizing real-time feedback of the position of the construction site machine, the dangerous action identification module receives positioning information of the construction site machine, calculation of the distance value between the construction site machine and a worker is realized based on the positioning information and positioning information returned by the worker, and when a calculated result falls into a preset threshold, the corresponding early warning module is started.
6. The intelligent worksite management system of claim 1, wherein: building site dust monitoring management module is based on the robot realization of crawling that loads dust detector and dust clearance appearance, the robot of crawling is according to predetermined route, it reaches appointed place to drive dust detector, realize that the timing fixed point of building site dust is patrolled and examined, and send the cloud platform with the testing result in real time, the dust management strategy that the cloud platform corresponds is exported to crawling robot and dust clearance appearance according to the monitoring result, the robot of crawling drives the dust clearance appearance according to the dust clearance route of carrying in the dust management strategy and reaches appointed place, the clearance of dust is realized to the mode that corresponds according to the dust clearance mode data switching that carries in the dust management strategy to the dust clearance appearance.
7. The intelligent worksite management system of claim 1, wherein: the engineering progress management module patrols and examines through unmanned aerial vehicle and regularly fixes a point and carry out the collection of building site image to realize the visual record of engineering progress, the user can realize the type-in of engineering progress through man-machine operation module with established template as required, and this template includes building site image filling frame and engineering progress type-in frame at least.
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| CN202010270381.0A CN111429107A (en) | 2020-04-08 | 2020-04-08 | Intelligent construction site management system |
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| CN202010270381.0A CN111429107A (en) | 2020-04-08 | 2020-04-08 | Intelligent construction site management system |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN111951127A (en) * | 2020-08-05 | 2020-11-17 | 合肥革绿信息科技有限公司 | Wisdom building site safety precaution closed loop transmission feedback system |
| CN112396652A (en) * | 2020-11-25 | 2021-02-23 | 创新奇智(西安)科技有限公司 | Construction site safety monitoring method and device, electronic equipment and storage medium |
| CN112907389A (en) * | 2021-04-09 | 2021-06-04 | 北京中安瑞力科技有限公司 | Land, air and space integrated intelligent construction site system and management method |
| WO2022027288A1 (en) * | 2020-08-05 | 2022-02-10 | 罗伯特·博世有限公司 | Control system and electronic device for smart construction site |
| CN114595994A (en) * | 2022-03-18 | 2022-06-07 | 湖南工研科技有限公司 | Based on thing networking wisdom building site cloud platform |
| CN114662208A (en) * | 2022-05-19 | 2022-06-24 | 安徽智享云科技有限公司 | Construction visualization system and method based on Bim technology |
| CN115508258A (en) * | 2022-09-20 | 2022-12-23 | 格瑞利(江苏)智能科技有限公司 | Raise dust monitoring method and system for construction site area |
-
2020
- 2020-04-08 CN CN202010270381.0A patent/CN111429107A/en not_active Withdrawn
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN111951127A (en) * | 2020-08-05 | 2020-11-17 | 合肥革绿信息科技有限公司 | Wisdom building site safety precaution closed loop transmission feedback system |
| WO2022027288A1 (en) * | 2020-08-05 | 2022-02-10 | 罗伯特·博世有限公司 | Control system and electronic device for smart construction site |
| CN112396652A (en) * | 2020-11-25 | 2021-02-23 | 创新奇智(西安)科技有限公司 | Construction site safety monitoring method and device, electronic equipment and storage medium |
| CN112907389A (en) * | 2021-04-09 | 2021-06-04 | 北京中安瑞力科技有限公司 | Land, air and space integrated intelligent construction site system and management method |
| CN114595994A (en) * | 2022-03-18 | 2022-06-07 | 湖南工研科技有限公司 | Based on thing networking wisdom building site cloud platform |
| CN114595994B (en) * | 2022-03-18 | 2022-09-30 | 湖南工研科技有限公司 | Based on thing networking wisdom building site cloud platform |
| CN114662208A (en) * | 2022-05-19 | 2022-06-24 | 安徽智享云科技有限公司 | Construction visualization system and method based on Bim technology |
| CN114662208B (en) * | 2022-05-19 | 2022-08-05 | 安徽智享云科技有限公司 | Construction visualization system and method based on Bim technology |
| CN115508258A (en) * | 2022-09-20 | 2022-12-23 | 格瑞利(江苏)智能科技有限公司 | Raise dust monitoring method and system for construction site area |
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Application publication date: 20200717 |