Construction site safety management system and management method

Abstract

The invention provides a construction site safety management system and a management method, belongs to the technical field of construction site management, and solves the problems that the traditional construction site safety management depends on manual patrol and supervision, has limitation, is single in construction site monitoring means, insufficient in coverage, insufficient in data acquisition, insufficient in data analysis and incomplete in hidden danger early warning mechanism. The management system comprises a video platform, an Internet of Things platform, an intelligent construction site mobile APP, an intelligent construction site management platform, a camera module, a Bluetooth module, a GPS module, an RF module, a cloud computing module and a cloud storage module. The video platform, the Internet of Things platform, the intelligent construction site mobile APP and the intelligent construction site management platform are all in bidirectional encryption communication connection with the cloud computing module and the cloud storage module, the video platform is in bidirectional communication connection with the camera module, and the Bluetooth module, the GPS and the RF module are all in bidirectional encryption communication connection with the Internet of Things platform.

Description

Technical Field

[0001] The present invention relates to a construction site safety management system and a management method, belonging to the technical field of construction site management. Background Art

[0002] Construction sites are places where multiple high-risk operations are concentrated. Accidents frequently occur due to poor safety management, which not only poses a threat to the lives of practitioners but also may cause huge economic losses and social impacts.

[0003] At present, traditional construction site safety management mainly relies on manual inspections and supervision, which has many limitations. For example, monitoring devices are usually scattered, data collection is not systematic, and it is difficult to comprehensively and real-time grasp the situation on the construction site. At the same time, there is a lack of effective safety hazard prediction and early warning mechanisms, resulting in problems not being discovered in time, increasing the possibility of accidents. At the same time, the power and communication environments on the construction site often cannot be guaranteed, which also increases the risk of construction site safety management. Summary of the Invention

[0004] The present invention aims to solve the problems that traditional construction site safety management relies on manual inspections and supervision, has limitations, and the construction site monitoring means are single, the coverage is insufficient, the collected data is not sufficient, the data analysis is insufficient, and the hidden danger early warning mechanism is imperfect, and further proposes a construction site safety management system and a management method.

[0005] The technical solution adopted by the present invention to solve the above problems is: A construction site safety management system in the present invention includes:

[0006] A video platform, an Internet of Things platform, a smart construction site mobile APP, a smart construction site management platform, a camera module, a Bluetooth module, a GPS module, an RF module, and cloud computing and cloud storage modules;

[0007] The video platform, the Internet of Things platform, the smart construction site mobile APP, and the smart construction site management platform are all connected to the cloud computing and cloud storage modules through two-way encrypted communication. The video platform is connected to the camera module through two-way encrypted communication. The Bluetooth module, the GPS module, and the RF module are all connected to the Internet of Things platform through two-way encrypted communication.

[0008] Preferably, the video platform is used to send control commands to the camera module, receive the data collected by the camera, and transmit it back to the cloud computing and cloud storage modules;

[0009] The Internet of Things platform is used to send control commands to the Bluetooth module, the GPS module, and the RF module, receive the data collected by the Bluetooth module, the GPS module, and the RF module, and transmit it back to the cloud computing and cloud storage modules;

[0010] The camera module, Bluetooth module, GPS module, and RF module are used to perform real-time multi-modal data collection and upload the collected data to the video platform and the Internet of Things platform in real time.

[0011] Preferably, after receiving the uploaded data from the video platform and the Internet of Things platform, the cloud computing and cloud storage modules perform data analysis based on the uploaded data and issue instructions to the Smart Construction Site Mobile APP and the Smart Construction Site Management Platform for real-time monitoring and management.

[0012] A construction site safety management method includes:

[0013] Step 1: Perform real-time multi-modal data collection through the camera module, Bluetooth module, GPS module, and RF module;

[0014] Step 2: Upload the collected multi-modal data to the cloud computing and cloud storage modules through the video platform and the Internet of Things platform in real time for storage;

[0015] Step 3: The cloud computing and cloud storage modules perform data cleaning and multi-modal fusion on the received multi-modal data to obtain trajectory analysis results, device positioning results, real-time image analysis results, and data mining results;

[0016] Step 4: Upload the trajectory analysis results, device positioning results, real-time image analysis results, and data mining results to the smart construction site management platform for notification management information, real-time monitoring, and issuing warning information, and send the notification management information and warning information to the smart construction site mobile APP of the corresponding user through the cloud computing and cloud storage modules.

[0017] Preferably, the multi-modal fusion of multi-modal data in Step 4 specifically includes:

[0018] Input the cleaned multi-modal data into the multi-modal data routing and integration module to obtain multi-modal trajectory data, multi-modal location data, multi-modal video data, and multi-modal structured data;

[0019] Obtain trajectory analysis results based on multi-modal trajectory data, obtain device positioning results based on multi-modal location data, obtain real-time image analysis results based on multi-modal video data, and obtain data mining results based on multi-modal structured data.

[0020] Preferably, obtaining multi-modal trajectory data specifically includes:

[0021] Perform data time series alignment on the collected data of the Bluetooth module;

[0022] Perform data denoising on the collected data of the GPS module, perform multi-radio source data fitting on the collected data of the RF module, and integrate the denoised collected data of the GPS module and the fitted collected data of the RF module under the same coordinate system scale;

[0023] Obtain key frames from the collected data of the camera module;

[0024] Generate a user trajectory based on the collected data of the Bluetooth module after data time series alignment, the integrated collected data of the GPS module and the RF module, and bind it to the collected data of the camera module after key frame acquisition to obtain multi-modal trajectory data.

[0025] Preferably, obtaining multi-modal position data specifically includes:

[0026] Perform data time series alignment on the collected data of the Bluetooth module;

[0027] Perform data denoising on the collected data of the GPS module, perform multi-radio source data fitting on the collected data of the RF module, and obtain position semantics from the collected data of the camera module;

[0028] Integrate the collected data of the Bluetooth module after data time series alignment, the collected data of the GPS module with coordinate system alignment, the RF module, and the collected data of the camera module after position semantics acquisition under the same coordinate system scale to generate multi-modal position data.

[0029] Preferably, obtaining multi-modal video data specifically includes:

[0030] Perform data time series alignment on the collected data of the Bluetooth module;

[0031] Perform data denoising on the collected data of the GPS module, perform multi-radio source data fitting on the collected data of the RF module, and integrate the denoised collected data of the GPS module and the fitted collected data of the RF module under the same coordinate system scale;

[0032] Perform key target recognition based on the collected data of the camera module, bind the recognized target to the device that recognizes the target, and generate multi-modal video data in combination with the collected data of the Bluetooth module after data time series alignment and the integrated collected data of the GPS module and the RF module.

[0033] Preferably, obtaining multi-modal structured data specifically includes:

[0034] Perform data time series alignment on the collected data of the Bluetooth module;

[0035] Perform data denoising and data time series alignment on the collected data of the GPS module;

[0036] Perform multi-radio source data fitting and data time series alignment on the collected data of the RF module;

[0037] Perform data time series alignment on the collected data of the camera module;

[0038] Perform data splicing on the collected data of the Bluetooth module, GPS module, RF module, and camera module after data time series alignment to obtain multi-modal structured data.

[0039] The beneficial effects of the present invention are:

[0040] 1. The present invention collects multi-modal data through the camera module, Bluetooth module, GPS module, and RF module, integrates the multi-modal data, and processes the integrated data through different feature processing methods, enabling applications such as trajectory analysis, device positioning, real-time image analysis, and data mining, and finally realizing real-time monitoring, solving the problems of insufficient data collection and analysis in construction site safety management.

[0041] 2. The present invention sends warning messages through the APP to accurately manage individuals, solving the problems of information errors or omissions that are prone to occur in manual management. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic structural diagram of a construction site safety management system provided by the present invention;

[0043] Figure 2 It is a schematic flow chart of a construction site safety management method provided by the present invention;

[0044] Figure 3 It is a schematic diagram of multi-modal fusion processing provided by the present invention;

[0045] Figure 4 It is a flow chart of a multi-modal trajectory data processing method provided by the present invention;

[0046] Figure 5 It is a flow chart of a multi-modal position data processing method provided by the present invention;

[0047] Figure 6 It is a flow chart of a multi-modal video data processing method provided by the present invention;

[0048] Figure 7 It is a flow chart of a multi-modal structured data processing method provided by the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0049] Detailed Description 1: In combination with Figure 1 illustrate this embodiment, as Figure 1As shown in the figure, a construction site safety management system described in this embodiment includes:

[0050] A video platform, an Internet of Things platform, a smart construction site mobile APP, a smart construction site management platform, a camera module, a Bluetooth module, a GPS module, an RF module, as well as cloud computing and cloud storage modules;

[0051] In this embodiment, the model of the camera module is Hikvision DS-2CD2T46FWDP2V2-LS, the model of the GPS module is WHEELTEC-G60, GPS+Beidou dual-mode, and the model of the RF module is ULM1-MK.

[0052] The video platform, the Internet of Things platform, the smart construction site mobile APP, and the smart construction site management platform are all connected to the cloud computing and cloud storage modules through two-way encrypted communication. The video platform is connected to the camera module through two-way encrypted communication. The Bluetooth module, GPS module, and RF module are all connected to the Internet of Things platform through two-way encrypted communication. The Internet of Things platform is used to send control instructions to the Bluetooth module, GPS module, and RF module, receive the data collected by the Bluetooth module, GPS module, and RF module, and transmit it back to the cloud computing and cloud storage modules;

[0053] The camera module, Bluetooth module, GPS module, and RF module are used to collect multi-modal data in real time, and upload the collected data to the video platform and the Internet of Things platform in real time. After receiving the uploaded data from the video platform and the Internet of Things platform, the cloud computing and cloud storage modules perform data analysis based on the uploaded data, and send instructions to the smart construction site mobile APP and the smart construction site management platform for real-time monitoring and management.

[0054] Specific Embodiment 2: In combination with Figures 2 - 7 Describe this embodiment. As Figure 2 shown, a construction site safety management method described in this embodiment includes:

[0055] S1: Real-time collection of multi-modal data through the camera module, Bluetooth module, GPS module, and RF module;

[0056] S2: Upload the collected multi-modal data to the cloud computing and cloud storage modules through the video platform and the Internet of Things platform in real time for storage;

[0057] S3: The cloud computing and cloud storage modules perform data cleaning processing and multi-modal fusion on the received multi-modal data to obtain trajectory analysis results, device positioning results, real-time image analysis results, and data mining results;

[0058] S4: Upload the trajectory analysis results, device positioning results, real-time image analysis results, and data mining results to the intelligent construction site management platform for notification management information, real-time monitoring, and warning information issuance. Send the notification management information and warning information to the intelligent construction site mobile APP of the corresponding users through the cloud computing and cloud storage modules.

[0059] S401: As Figure 3 shown, input the cleaned multi-modal data into the multi-modal data routing and integration module to obtain multi-modal trajectory data, multi-modal location data, multi-modal video data, and multi-modal structured data;

[0060] S40101: As Figure 4 shown, perform data time series alignment on the collected data of the Bluetooth module; perform data noise reduction on the collected data of the GPS module, perform multi-radio source data fitting on the collected data of the RF module, and integrate the noise-reduced collected data of the GPS module and the fitted collected data of the RF module under the same coordinate system scale; obtain key frames from the collected data of the camera module; generate a user trajectory based on the collected data of the Bluetooth module after data time series alignment, the integrated collected data of the GPS module, and the collected data of the RF module, and bind it to the collected data of the camera module after key frame acquisition to obtain multi-modal trajectory data.

[0061] S40102: As Figure 5 shown, perform data time series alignment on the collected data of the Bluetooth module; perform data noise reduction on the collected data of the GPS module, perform multi-radio source data fitting on the collected data of the RF module, and obtain location semantics from the collected data of the camera module; integrate the collected data of the Bluetooth module after data time series alignment, the collected data of the GPS module with coordinate system alignment, the collected data of the RF module, and the collected data of the camera module after location semantics acquisition under the same coordinate system scale to generate multi-modal location data.

[0062] S40103: As Figure 6 shown, perform data time series alignment on the collected data of the Bluetooth module; perform data noise reduction on the collected data of the GPS module, perform multi-radio source data fitting on the collected data of the RF module, and integrate the noise-reduced collected data of the GPS module and the fitted collected data of the RF module under the same coordinate system scale; perform key target recognition based on the collected data of the camera module, bind the recognized target to the device of the recognized target, and generate multi-modal video data in combination with the collected data of the Bluetooth module after data time series alignment, the integrated collected data of the GPS module, and the collected data of the RF module.

[0063] S40104: As Figure 7As shown, perform data timing alignment on the collected data of the Bluetooth module; perform data denoising and data timing alignment on the collected data of the GPS module; perform multi-radio source data fitting and data timing alignment on the collected data of the RF module; perform data timing alignment on the collected data of the camera module; splice the collected data of the Bluetooth module, GPS module, RF module, and camera module after data timing alignment to obtain multi-modal structured data.

[0064] In this embodiment, after data collection, steps such as real-time data access, data cleaning, and multi-modal fusion are carried out. Finally, applications such as trajectory analysis, device positioning, real-time image analysis, and data mining can be implemented, and finally real-time monitoring is achieved.

[0065] S402: Obtain the trajectory analysis result based on the multi-modal trajectory data, obtain the device positioning result based on the multi-modal position data, obtain the real-time image analysis result based on the multi-modal video data, and obtain the data mining result based on the multi-modal structured data.

[0066] In summary, the present invention collects multi-modal data through the camera module, Bluetooth module, GPS module, and RF module, integrates the multi-modal data, and processes the integrated data through different feature processing methods. Applications such as trajectory analysis, device positioning, real-time image analysis, and data mining can be implemented, and finally real-time monitoring is achieved, solving the problems of insufficient data collection and analysis in construction site safety management.

[0067] The above is only a preferred embodiment of the present invention and does not impose any form of limitation on the present invention. Although the present invention has been disclosed above with a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to the above-disclosed technical content to make it an equivalent embodiment with equivalent changes. However, as long as it does not depart from the technical content of the present invention, according to the technical essence of the present invention, within the spirit and principle of the present invention, any simple modification, equivalent replacement, and improvement of the above embodiments still fall within the protection scope of the technical solution of the present invention.

Claims

1. A construction site safety management system, characterized in that: The construction site safety management system comprises: Video platform, Internet of Things platform, smart construction site mobile APP, smart construction site management platform, camera module, Bluetooth module, GPS module, RF module, cloud computing and cloud storage module; The video platform, Internet of Things platform, smart construction site mobile APP, and smart construction site management platform are all connected to the cloud computing and cloud storage modules in a two-way encrypted communication manner. The video platform is connected to the camera module in a two-way encrypted communication manner. The Bluetooth module, GPS, and module RF module are all connected to the Internet of Things platform in a two-way encrypted communication manner.

2. A construction site safety management system according to claim 1, characterized in that: The video platform is used to send control instructions to the camera module, receive data collected by the camera and transmit it back to the cloud computing and cloud storage module; The IoT platform is used to send control instructions to the Bluetooth module, GPS module and RF module, receive data collected by the Bluetooth module, GPS module and RF module and transmit it back to the cloud computing and cloud storage modules; The camera module, Bluetooth module, GPS module and RF module are used to collect multimodal data in real time, and upload the collected data to the video platform and the Internet of Things platform in real time.

3. A construction site safety management system according to claim 1, characterized in that: After receiving the uploaded data from the video platform and the Internet of Things platform, the cloud computing and cloud storage modules perform data analysis based on the uploaded data and send instructions to the smart construction site mobile APP and the smart construction site management platform for real-time monitoring and management.

4. A construction site safety management method, applied to a construction site safety management system according to any one of claims 1 to 3, characterized in that: include: Step 1: Real-time multi-modal data acquisition is performed through the camera module, Bluetooth module, GPS module and RF module; Step 2: Upload the collected multimodal data to the cloud computing and cloud storage modules in real time through the video platform and the Internet of Things platform and store them; Step 3: The cloud computing and cloud storage modules perform data cleaning and multimodal fusion on the received multimodal data to obtain trajectory analysis results, device positioning results, real-time image analysis results and data mining results; Step 4: Upload the trajectory analysis results, equipment positioning results, real-time image analysis results and data mining results to the smart construction site management platform for notification management information, real-time monitoring and warning information, and send the notification management information and warning information to the smart construction site mobile APP of the corresponding user through cloud computing and cloud storage modules.

5. A construction site safety management method according to claim 4, characterized in that: The multimodal fusion of multimodal data in step 4 specifically includes: Input the cleaned multimodal data into the multimodal data routing and integration module to obtain multimodal trajectory data, multimodal position data, multimodal video data and multimodal structured data; The trajectory analysis results are obtained based on multimodal trajectory data, the equipment positioning results are obtained based on multimodal position data, the real-time image analysis results are obtained based on multimodal video data, and the data mining results are obtained based on multimodal structured data.

6. A construction site safety management method according to claim 5, characterized in that: Obtaining multimodal trajectory data specifically includes: Perform data timing alignment on the collected data of the Bluetooth module; Perform data denoising on the data collected by the GPS module, perform multi-RF source data fitting on the data collected by the RF module, and integrate the denoised GPS module data and the fitted RF module data on the same coordinate system scale; Acquire key frames of the collected data from the camera module; The user trajectory is generated based on the data collected by the Bluetooth module after data timing alignment and the integrated data collected by the GPS module and the RF module, and is bound with the data collected by the camera module after key frame acquisition to obtain multimodal trajectory data.

7. A construction site safety management method according to claim 5, characterized in that: Acquiring multimodal location data specifically includes: Perform data timing alignment on the collected data of the Bluetooth module; Perform data noise reduction on the data collected by the GPS module, perform multi-RF source data fitting on the data collected by the RF module, and obtain location semantics on the data collected by the camera module; The data collected by the Bluetooth module after data timing alignment, the data collected by the GPS module after coordinate system alignment, the data collected by the RF module, and the data collected by the camera module after location semantics acquisition are integrated at the same coordinate system scale to generate multimodal location data.

8. A construction site safety management method according to claim 5, characterized in that: Acquiring multimodal video data specifically includes: Perform data timing alignment on the collected data of the Bluetooth module; Perform data denoising on the data collected by the GPS module, perform multi-RF source data fitting on the data collected by the RF module, and integrate the denoised GPS module data and the fitted RF module data on the same coordinate system scale; Key targets are identified based on the data collected by the camera module, and the identified targets are bound to the devices that identify the targets. Multimodal video data is generated by combining the data collected by the Bluetooth module after data timing alignment and the integrated data collected by the GPS module and the data collected by the RF module.

9. A construction site safety management method according to claim 5, characterized in that: Acquiring multimodal structured data specifically includes: Perform data timing alignment on the collected data of the Bluetooth module; Perform data noise reduction and data timing alignment on the collected data of the GPS module; Perform multi-RF source data fitting and data timing alignment on the collected data of the RF module; Perform data timing alignment on the collected data of the camera module; The collected data of the Bluetooth module, the collected data of the GPS module, the collected data of the RF module and the collected data of the camera module after the data timing is aligned are spliced ​​to obtain multimodal structured data.

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