Construction site video monitoring system
The construction site video monitoring system, which integrates intelligent cameras, auxiliary sensing units, and multimodal data fusion algorithms, solves the problems of monitoring blind spots and unstable data transmission in existing systems, realizes full-process supervision and efficient early warning, and improves the safety management level of construction sites.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-15
- Publication Date
- 2026-04-14
AI Technical Summary
Existing construction site video surveillance systems lack intelligent recognition capabilities, have blind spots, poor imaging effects, and unstable data transmission, and cannot meet the full-process supervision needs of pre-event warning, in-event control, and post-event traceability.
It adopts a front-end sensing module, a transmission module, and a back-end processing and management platform, integrating intelligent cameras, auxiliary sensing units, positioning and identification units, and interference factor collection sub-modules. Combined with AI edge computing, multi-link redundant transmission, GPU servers, and multimodal data fusion algorithms, it achieves deep linkage of multi-source data and adaptive environmental recognition.
It achieves full-coverage, blind-spot-free monitoring of construction sites, improves supervision efficiency, reduces the incidence of safety accidents, has early warning capabilities, adapts to complex environments, has strong compatibility, good scalability, and supports various construction scenarios.
Smart Images
Figure CN121864948A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of video surveillance technology, specifically to a construction site video surveillance system. Background Technology
[0002] Construction sites today generally face challenges such as complex working environments, frequent personnel movement, and a concentration of high-risk procedures. Traditional manual inspection methods suffer from limitations including limited coverage, delayed response, high labor costs, and difficulty in data traceability. Existing video surveillance systems mostly only have basic recording functions and lack the ability to intelligently identify key construction elements, such as personnel not wearing safety helmets, violations of high-altitude operations, unauthorized machinery operation, and open flame hazards. Furthermore, they suffer from numerous blind spots, poor imaging quality in harsh environments (e.g., dust obstruction, vibration causing blurred images), unstable data transmission, and superficial overlay of multimodal data without deep fusion. Consequently, they fail to meet the full-process supervision needs of construction sites, including pre-event warning, in-event control, and post-event traceability.
[0003] Therefore, we propose a construction site video monitoring system. Summary of the Invention
[0004] The purpose of this invention is to provide a construction site video monitoring system that solves the problems mentioned in the background art.
[0005] To achieve the above objectives, the present invention provides the following technical solution: a construction site video monitoring system, comprising a front-end sensing module, a transmission module, and a back-end processing and management platform; the front-end sensing module is communicatively connected to the transmission module, and the transmission module is communicatively connected to the back-end processing and management platform; the front-end sensing module is used to collect various types of monitoring data from the construction site, the transmission module is used to achieve stable transmission of the monitoring data, and the back-end processing and management platform is used to analyze and process the monitoring data and realize the supervision and early warning of the construction site.
[0006] In a preferred embodiment of the present invention, the front-end sensing module includes an intelligent camera unit, an auxiliary sensing unit, a positioning and identification unit, and an interference factor collection submodule; the intelligent camera unit is used to capture images of the construction site and identify illegal or risky scenarios; the auxiliary sensing unit is used to collect environmental and equipment operation data of the construction site; the positioning and identification unit is used to obtain the location and dynamic information of construction personnel and equipment; and the interference factor collection submodule is used to collect dynamic environmental parameters that affect the recognition accuracy.
[0007] In a preferred embodiment of the present invention, the intelligent camera unit integrates an AI edge computing chip and an adjustable gimbal structure; the AI edge computing chip is used to support real-time identification of illegal or risky scenarios, and the gimbal structure is used to adjust the camera monitoring angle through backend commands to eliminate monitoring blind spots.
[0008] In a preferred embodiment of the present invention, the auxiliary sensing unit includes a sound sensor, a temperature and humidity sensor, and a vibration sensor, and the auxiliary sensing unit can also access sensor data from large equipment on the construction site; the sound sensor is used to monitor abnormal sounds at the construction site, the temperature and humidity sensor is used to monitor environmental climate data at the construction site, and the vibration sensor is used to monitor abnormal equipment operation and structural displacement in the construction area.
[0009] In a preferred embodiment of the present invention, the positioning and identification unit includes an RFID positioning tag configured for construction workers and a GPS positioning module configured for large machinery; the RFID positioning tag is used to collect the location, movement and density information of construction workers, and the GPS positioning module is used to collect the location and running trajectory information of large machinery.
[0010] In a preferred embodiment of the present invention, the interference factor acquisition submodule is integrated into the front-end sensing module. It acquires visual interference parameters, environmental physical parameters, and scene dynamic parameters through the light-sensing chip of the smart camera, the auxiliary sensing unit, and the positioning and marking unit. The acquired parameters are then transmitted to the back-end processing and management platform through a preset API interface.
[0011] In a preferred embodiment of the present invention, the transmission module adopts a multi-link redundant transmission scheme and is equipped with a data compression and encryption unit; the multi-link redundant transmission scheme is used to ensure uninterrupted transmission of monitoring data under different construction scenarios, and the data compression and encryption unit is used to reduce transmission bandwidth usage and prevent leakage of sensitive data.
[0012] In a preferred embodiment of the present invention, the backend processing and management platform includes a data processing center, management platform software, and a terminal display unit; the data processing center is used to run algorithm models to analyze monitoring data, the management platform software is used to realize functions such as real-time monitoring, intelligent early warning, and video tracing, and the terminal display unit is used to meet the needs of viewing regulatory information in different scenarios.
[0013] In a preferred embodiment of the present invention, the data processing center is equipped with a GPU server, which runs a multimodal data fusion algorithm and an environment adaptive recognition model. The multimodal data fusion algorithm achieves deep linkage of multi-source data through spatiotemporal alignment and feature fusion, and the environment adaptive recognition model improves the recognition accuracy and risk warning capability in dynamic environments through interference compensation, dynamic threshold adjustment and risk prediction mechanisms.
[0014] In a preferred embodiment of the present invention, the management platform software supports a tiered early warning function and a data statistical report generation function; the tiered early warning function pushes risk information of different levels to managers through various early warning methods and associates it with emergency plans; the data statistical report function can automatically count the violations, hazard rectification, personnel and equipment operation data at the construction site, and generate periodic reports.
[0015] Compared with the prior art, the beneficial effects of the present invention are as follows:
[0016] This invention boasts a high degree of intelligence. Leveraging AI algorithms and an environmentally adaptive recognition model, it can automatically identify violations and potential risks, effectively addressing misjudgments and omissions in dynamic environments such as dust, vibration, and backlighting. It replaces traditional manual inspections, significantly improving regulatory efficiency and reducing human oversight. Its strong data fusion depth, achieved through a multimodal data fusion algorithm, breaks down data overlay patterns, enabling deep linkage between visual, sensor, and positioning data. This upgrades from reliance on single data points to multi-data corroboration, resulting in superior risk prediction capabilities. Based on fusion features, it can move from phenomenon recognition to pre-emptive prediction, allowing ample time for emergency response and reducing the incidence of safety accidents. Furthermore, the system offers comprehensive coverage without blind spots, adapting to complex construction environments. It also exhibits strong compatibility and scalability, requiring no additional front-end hardware; functionality can be expanded solely through software upgrades. It can also interface with existing construction management systems, adapting to various special construction scenarios. Attached Figure Description
[0017] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:
[0018] Figure 1 This is an operational diagram of a construction site video monitoring system according to the present invention. Detailed Implementation
[0019] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.
[0020] like Figure 1 As shown, a construction site video monitoring system is described, comprising a front-end sensing module, a transmission module, and a back-end processing and management platform. The front-end sensing module is communicatively connected to the transmission module, and the transmission module is communicatively connected to the back-end processing and management platform. The front-end sensing module is used to collect various types of monitoring data from the construction site, the transmission module is used to achieve stable transmission of the monitoring data, and the back-end processing and management platform is used to analyze and process the monitoring data and to monitor and provide early warnings for the construction site.
[0021] The front-end sensing module includes an intelligent camera unit, an auxiliary sensing unit, a positioning and identification unit, and an interference factor collection submodule. The intelligent camera unit captures images of the construction site and identifies violations or risky scenarios. The auxiliary sensing unit collects environmental and equipment operation data from the construction site. The positioning and identification unit acquires the location and dynamic information of construction personnel and equipment. The interference factor collection submodule collects dynamic environmental parameters that affect recognition accuracy. The intelligent camera unit integrates an AI edge computing chip and an adjustable gimbal structure. The AI edge computing chip supports real-time identification of violations or risky scenarios, and the gimbal structure adjusts camera monitoring via backend commands. To eliminate blind spots in monitoring, the auxiliary sensing unit includes a sound sensor, a temperature and humidity sensor, and a vibration sensor. This unit can also access sensor data from large equipment on-site. The sound sensor monitors abnormal sounds at the construction site, the temperature and humidity sensor monitors environmental climate data, and the vibration sensor monitors equipment malfunctions and structural displacement in the construction area. The positioning and identification unit includes RFID tags for construction personnel and a GPS positioning module for large machinery. The RFID tags collect information on the location, movement, and density of construction personnel, while the GPS positioning module collects information on the location and trajectory of large machinery. The interference factor acquisition submodule is integrated into the front-end sensing module. It collects visual interference parameters, environmental physical parameters, and scene dynamic parameters through the light-sensing chip of the intelligent camera, auxiliary sensing unit, and positioning and marking unit. The collected parameters are then transmitted to the back-end processing and management platform via a preset API interface. The transmission module employs a multi-link redundant transmission scheme and is equipped with a data compression and encryption unit. This multi-link redundant transmission scheme ensures uninterrupted transmission of monitoring data under different construction scenarios. The data compression and encryption unit reduces bandwidth usage and prevents sensitive data leakage. The back-end processing and management platform includes a data processing center, management platform software, and a terminal display unit. The data processing center is used to run algorithm models to analyze monitoring data. The management platform software is used to realize functions such as real-time monitoring, intelligent early warning, and video tracing. The terminal display unit is used to meet the needs of viewing regulatory information in different scenarios. The data processing center is equipped with a GPU server, which runs a multimodal data fusion algorithm and an environment adaptive recognition model. The multimodal data fusion algorithm realizes deep linkage of multi-source data through spatiotemporal alignment and feature fusion. The environment adaptive recognition model improves the recognition accuracy and risk early warning capability in dynamic environments through interference compensation, dynamic threshold adjustment, and risk prediction mechanisms. The management platform software supports hierarchical early warning functions and data statistical report generation functions.The tiered early warning function pushes risk information of different levels to managers through multiple early warning methods and links it to emergency plans. The data statistics and reporting function can automatically collect statistics on violations, hazard rectification, personnel and equipment operation data at the construction site, and generate periodic reports.
[0022] The specific implementation is as follows:
[0023] Deployment of intelligent camera units: Install intelligent camera units at key monitoring points such as next to the scaffolding in the main construction area of the construction site, around the large machinery operation area, and personnel entrances and exits.
[0024] It should be understood that the camera integrates an AI edge computing chip, which can capture real-time images of the scene and identify illegal or risky scenarios such as personnel not wearing safety protective equipment, equipment operating in violation of regulations, and open flames; at the same time, it is equipped with an adjustable gimbal structure, and managers can control the gimbal to rotate and adjust the camera's monitoring angle through backend commands, eliminating blind spots in monitoring between the main construction area and the material storage area.
[0025] Deployment of auxiliary sensing units: Sound sensors are installed near the large machinery operation area to monitor abnormal sounds such as abnormal machinery operation and illegal blasting; temperature and humidity sensors are installed in open areas of the construction site and material warehouses to monitor environmental temperature, humidity, rainfall and other climate data; vibration sensors are installed at the edge of the foundation pit and next to the tower crane foundation to monitor the displacement of the foundation pit slope and abnormal vibration of the tower crane operation; in addition, the sensors built into large equipment such as tower cranes and excavators are connected through data interfaces to obtain equipment operating parameter data.
[0026] Deployment of Positioning and Identification Units: RFID positioning tags are configured for all construction personnel on the construction site. The tags are worn by the personnel and collect real-time information on their location, movement trajectory, and personnel density in different areas. GPS positioning modules are installed on large machinery such as tower cranes and excavators to collect real-time information on the location and operation trajectory of the machinery, ensuring dynamic tracking of personnel and equipment.
[0027] Interference Factor Acquisition Submodule Deployment: The interference factor acquisition submodule is integrated into the front-end sensing module, requiring no separate installation. This submodule uses the light-sensing chip of the smart camera to collect visual interference parameters such as dust coverage, backlight, and shaking; it uses the auxiliary sensing unit to collect environmental physical parameters such as wind speed, air humidity, and mechanical vibration intensity; and it uses the positioning and identification unit to collect the movement speed of personnel and equipment, as well as the scene dynamic parameters corresponding to the current construction process. After collection, all parameters are transmitted in real time to the back-end processing and management platform through a preset API interface.
[0028] Transmission module deployment
[0029] Multi-link redundancy transmission solution setup: Transmission links are built according to the characteristics of different areas of the construction site. 5G links are used to transmit data in open main construction areas and large machinery operation areas; wired broadband links are laid to ensure transmission stability in underground construction areas, material warehouses, and other areas with weak signals; and wireless local area network links are added in areas with high mobility, such as temporary work sheds. Through multi-link redundancy design, it is ensured that monitoring data can be transmitted without interruption regardless of the construction site environment.
[0030] Data compression and encryption unit configuration: Configure a data compression and encryption unit in the transmission link to compress all monitoring data, such as video images, sensor data, and interference factor parameters transmitted by the front-end sensing module, reducing bandwidth usage during data transmission; at the same time, encrypt the compressed data to prevent data leakage during transmission and ensure the security of monitoring data at the construction site.
[0031] Deployment of backend processing and management platform
[0032] Data Processing Center Setup: A data processing center, equipped with GPU servers, is deployed in the project's computer room at the construction site. The GPU servers run multimodal data fusion algorithms and an environment-adaptive recognition model. After receiving encrypted data from the transmission module, the multimodal data fusion algorithm first aligns video footage, sensor data, positioning information, and interference factor parameters spatiotemporally according to timestamps and spatial coordinates. Then, feature fusion achieves deep linkage of multi-source data. Subsequently, the environment-adaptive recognition model compensates for interference scenarios corresponding to the interference factor parameters, dynamically adjusts the recognition threshold based on the actual site conditions, and performs risk prediction based on the fused data, improving recognition accuracy and early warning capabilities in dynamic environments.
[0033] Management Platform Software Configuration: The management platform software is installed on the data processing center server. This software features real-time monitoring, intelligent early warning, video recording and tracing, and data statistical reports. The real-time monitoring function supports simultaneous display of multiple screens, allowing switching between camera feeds from different areas and overlaying environmental parameters, personnel and equipment locations, and other information. The intelligent early warning function supports tiered warnings; when general risks, significant risks, and major risks are identified, warning information is pushed to management personnel through various methods such as audible and visual alarms, SMS, and platform push notifications, and automatically associates with corresponding emergency plans. The video recording and tracing function supports storing historical monitoring videos, allowing management personnel to retrieve and play back videos by time, area, and event type. The data statistical reporting function automatically calculates data such as the number of violations at the construction site, the completion status of hazard rectification, personnel attendance rate, and equipment operating time, generating periodic reports on a daily, weekly, and monthly basis.
[0034] Terminal display unit configuration: A computer client is provided for management personnel to facilitate comprehensive operation of the management platform software from the project office; a mobile APP is provided for on-site inspection and management personnel to facilitate receiving early warning information and viewing real-time monitoring images while moving around the construction site; LED displays are installed at the personnel entrances and exits of the construction site to publicly display on-site violations, risk warning information, etc., so as to realize on-site public display of regulatory information.
[0035] System Workflow
[0036] Data acquisition phase: Each unit of the front-end sensing module collects construction site images, environmental and equipment data, personnel and equipment positioning data, and interference factor parameters according to deployment requirements, completing the comprehensive collection of multiple types of monitoring data.
[0037] Data transmission phase: After the collected data is compressed and encrypted by the transmission module, it is transmitted to the back-end processing and management platform through a multi-link redundant transmission scheme to ensure stable, secure and uninterrupted data transmission.
[0038] Data processing and analysis phase: The GPU server in the backend data processing center runs algorithms and models to perform fusion processing and adaptive identification on the transmitted data, and completes the identification of violations and risk prediction.
[0039] Supervision and early warning stage: Based on the data processing results, the management platform software realizes real-time monitoring, hierarchical early warning, video tracing and data statistics through the terminal display unit. Managers carry out on-site supervision based on the information fed back by the platform, and promptly handle violations and risk events, forming a closed loop of system application.
[0040] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or basic characteristics. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, it is intended that all variations falling within the meaning and scope of equivalents of the claims be included within the present invention.
[0041] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.
Claims
1. A construction site video monitoring system, characterized in that: It includes a front-end sensing module, a transmission module, and a back-end processing and management platform; the front-end sensing module is communicatively connected to the transmission module, and the transmission module is communicatively connected to the back-end processing and management platform; the front-end sensing module is used to collect various types of monitoring data from the construction site, the transmission module is used to achieve stable transmission of monitoring data, and the back-end processing and management platform is used to analyze and process the monitoring data and realize the supervision and early warning of the construction site.
2. The construction site video monitoring system according to claim 1, characterized in that: The front-end sensing module includes an intelligent camera unit, an auxiliary sensing unit, a positioning and identification unit, and an interference factor collection submodule. The intelligent camera unit is used to capture images of the construction site and identify illegal or risky scenarios. The auxiliary sensing unit is used to collect environmental and equipment operation data of the construction site. The positioning and identification unit is used to obtain the location and dynamic information of construction personnel and equipment. The interference factor collection submodule is used to collect dynamic environmental parameters that affect the recognition accuracy.
3. The construction site video monitoring system according to claim 2, characterized in that: The intelligent camera unit integrates an AI edge computing chip and an adjustable gimbal structure; the AI edge computing chip is used to support real-time identification of illegal or risky scenarios, and the gimbal structure is used to adjust the camera monitoring angle through backend commands to eliminate monitoring blind spots.
4. A construction site video monitoring system according to claim 2, characterized in that: The auxiliary sensing unit includes a sound sensor, a temperature and humidity sensor, and a vibration sensor. The auxiliary sensing unit can also access sensor data from large equipment on the construction site. The sound sensor is used to monitor abnormal sounds at the construction site, the temperature and humidity sensor is used to monitor environmental climate data at the construction site, and the vibration sensor is used to monitor abnormal equipment operation and structural displacement in the construction area.
5. A construction site video monitoring system according to claim 2, characterized in that: The positioning and identification unit includes RFID positioning tags for construction workers and GPS positioning modules for large machinery; the RFID positioning tags are used to collect the location, movement and density information of construction workers, and the GPS positioning modules are used to collect the location and running trajectory information of large machinery.
6. A construction site video monitoring system according to claim 2, characterized in that: The interference factor acquisition submodule is integrated into the front-end sensing module. It collects visual interference parameters, environmental physical parameters, and scene dynamic parameters through the light-sensing chip of the smart camera, the auxiliary sensing unit, and the positioning and marking unit. The collected parameters are then transmitted to the back-end processing and management platform through a preset API interface.
7. A construction site video monitoring system according to claim 1, characterized in that: The transmission module adopts a multi-link redundant transmission scheme and is equipped with a data compression and encryption unit. The multi-link redundant transmission scheme is used to ensure uninterrupted transmission of monitoring data under different construction scenarios, and the data compression and encryption unit is used to reduce transmission bandwidth usage and prevent leakage of sensitive data.
8. A construction site video monitoring system according to claim 1, characterized in that: The backend processing and management platform includes a data processing center, management platform software, and a terminal display unit. The data processing center is used to run algorithm models to analyze monitoring data. The management platform software is used to realize functions such as real-time monitoring, intelligent early warning, and video tracing. The terminal display unit is used to meet the needs of viewing regulatory information in different scenarios.
9. A construction site video monitoring system according to claim 8, characterized in that: The data processing center is equipped with a GPU server, which runs a multimodal data fusion algorithm and an environment adaptive recognition model. The multimodal data fusion algorithm achieves deep linkage of multi-source data through spatiotemporal alignment and feature fusion. The environment adaptive recognition model improves the recognition accuracy and risk warning capability in dynamic environments through interference compensation, dynamic threshold adjustment and risk prediction mechanisms.
10. A construction site video monitoring system according to claim 8, characterized in that: The management platform software supports tiered early warning and data statistical report generation functions. The tiered early warning function pushes risk information of different levels to managers through various early warning methods and associates it with emergency plans. The data statistical report function can automatically count the violations, hazard rectification, personnel and equipment operation data at the construction site and generate periodic reports.