CN119232758A - AI-based building site Internet of things supervisory equipment crowd management instrument - Google Patents
AI-based building site Internet of things supervisory equipment crowd management instrument Download PDFInfo
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- CN119232758A CN119232758A CN202411335153.1A CN202411335153A CN119232758A CN 119232758 A CN119232758 A CN 119232758A CN 202411335153 A CN202411335153 A CN 202411335153A CN 119232758 A CN119232758 A CN 119232758A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y10/00—Economic sectors
- G16Y10/30—Construction
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/40—Maintenance of things
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/50—Safety; Security of things, users, data or systems
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Abstract
The invention relates to the technical field of building construction site environment monitoring, in particular to an AI-based building site Internet of things monitoring equipment group management tool which comprises an application layer, a platform layer, a network layer and an equipment layer, wherein the platform layer comprises a unified management platform, an AI analysis module and a data storage management module, the equipment layer comprises a movable camera, an unmanned aerial vehicle, a sensor module and personnel identification equipment, and functions of real-time monitoring, state detection, fault diagnosis, maintenance recording and the like of various monitoring equipment are realized by integrating various AI technologies and IoT technologies.
Description
Technical Field
The invention relates to the technical field of building construction site environment monitoring, in particular to an AI-based building site Internet of things monitoring equipment group management tool.
Background
When the scale and complexity of modern building construction are continuously enlarged, the safety and management of the construction site become an important concern, the traditional construction site management depends on manual inspection and fixed monitoring equipment, and the site dynamics cannot be comprehensively mastered in real time. In order to improve management efficiency and security, internet of things (IoT) technology is gradually introduced to construction sites, and intelligent monitoring and management are achieved through real-time sensing and data transmission.
At present, when using construction site monitoring equipment, the existing monitoring system mainly relies on cameras and sensors at fixed positions, the monitoring range is limited, environmental changes cannot be flexibly handled, in addition, the alarm mechanism of the existing system is mostly based on simple threshold judgment, false alarm or missing alarm is easy to cause, the actual condition of the construction site cannot be accurately reflected, the existing monitoring system based on the Internet of things also has defects in equipment management, a unified equipment management platform is lacking, and various types and brands of monitoring equipment cannot be managed and maintained in a centralized manner, so that an industrial field Internet of things monitoring equipment group management tool based on AI is provided, and functions of real-time monitoring, state detection, fault diagnosis, maintenance recording and the like of various monitoring equipment are realized through integration of various AI technologies and IoT technologies.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an AI-based building site Internet of things monitoring equipment group management tool, so that functions of real-time monitoring, state detection, fault diagnosis, maintenance recording and the like of various monitoring equipment can be realized by integrating various AI technologies and IoT technologies.
The technical scheme adopted by the invention for solving the technical problems is that the industrial field Internet of things monitoring equipment group management tool based on AI comprises an application layer, a platform layer, a network layer and an equipment layer, wherein the platform layer comprises a unified management platform, an AI analysis module and a data storage management module;
The equipment layer comprises a movable camera, an unmanned aerial vehicle, a sensor module and personnel identification equipment.
By adopting the technical scheme, a real-time monitoring interface, an equipment management interface and an alarm information interface can be provided, centralized management and real-time monitoring are realized, intelligent analysis can be carried out on video and sensor data, abnormal behaviors and environmental changes are automatically identified, a movable camera can monitor a construction site in real time, high-quality video and images are captured, an unmanned aerial vehicle can regularly cruise the construction site, and video and data of a high-altitude visual angle are provided.
Specifically, the application layer comprises an intelligent alarm system, a device detection and maintenance module and a user interface module.
By adopting the technical scheme, various sensor data can be comprehensively analyzed, environmental factors and worker behaviors are considered, the alarm accuracy is improved, false alarm and missing report are reduced, potential problems can be identified and solved in advance, equipment downtime is reduced, and equipment service life is prolonged.
Specifically, the sensor module includes a temperature sensor, a humidity sensor, a noise sensor, and a vibration sensor.
By adopting the technical scheme, the temperature change of the construction site is convenient to monitor, the humidity condition of the construction site is convenient to monitor, the noise level of the construction site is convenient to monitor, the vibration sensor is arranged at the key structure part, and the vibration condition in the construction process is monitored.
Specifically, the personnel identification device comprises an RFID tag and a wearable device.
By adopting the technical scheme, the position and the state of constructors can be tracked in real time, and the safety of the constructors is ensured.
Specifically, the network layer comprises a LoRaWAN network module, an edge computing node module and a data transmission management module.
By adopting the technical scheme, the sensor data can be transmitted to the edge computing node module and the unified management platform, the data can be primarily processed and analyzed, the data transmission delay is reduced, and the response speed is improved.
The invention has the beneficial effects that:
The AI-based building site Internet of things monitoring equipment group management tool realizes functions of real-time monitoring, state detection, fault diagnosis, maintenance recording and the like of various monitoring equipment by integrating various AI technologies and IoT technologies, for example, the system can automatically identify abnormal states of the equipment and perform early warning through a deep learning algorithm, the accuracy and timeliness of fault diagnosis are remarkably improved, and in addition, the system also has a self-adaptive learning function, the monitoring strategy can be continuously optimized according to historical data and on-site environmental changes, and the monitoring precision and reliability are improved.
Drawings
The invention will be further described with reference to the drawings and examples.
FIG. 1 is a schematic diagram of the overall structure of the present invention;
FIG. 2 is a schematic diagram of an application layer structure according to the present invention;
FIG. 3 is a schematic view of a platform layer structure according to the present invention;
FIG. 4 is a schematic diagram of a network layer structure according to the present invention;
FIG. 5 is a schematic view of the device layer structure of the present invention;
FIG. 6 is a schematic diagram of a sensor module structure according to the present invention;
FIG. 7 is a schematic diagram of a person identification device according to the present invention;
In the figure, 1, an application layer, 101, an intelligent alarm system, 102, a device detection and maintenance module, 103, a user interface module, 2, a platform layer, 201, a unified management platform, 202, an AI analysis module, 203, a data storage management module, 3, a network layer, 301, a LoRaWAN network module, 302, an edge computing node module, 303, a data transmission management module, 4, a device layer, 401, a movable camera, 402, an unmanned aerial vehicle, 403, a sensor module, 4031, a temperature sensor, 4032, a humidity sensor, 4033, a noise sensor, 4034, a vibration sensor, 404, a personnel identification device, 4041, an RFID tag and 4042, and a wearable device.
Detailed Description
The invention is further described in connection with the following detailed description in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
In order to facilitate the realization of functions such as real-time monitoring, state detection, fault diagnosis, maintenance recording and the like of various monitoring devices by integrating various AI technologies and IoT technologies, as shown in fig. 1-5, the building site internet of things monitoring device group management tool based on AI of the present invention comprises an application layer 1, a platform layer 2, a network layer 3 and a device layer 4, wherein the platform layer 2 comprises a unified management platform 201, an AI analysis module 202 and a data storage management module 203;
the device layer 4 comprises a movable camera 401, a drone 402, a sensor module 403 and a person identification device 404.
When the intelligent monitoring system is used, a real-time monitoring interface, an equipment management interface and an alarm information interface can be provided through the unified management platform 201, centralized management and real-time monitoring are realized, intelligent analysis can be performed on video and sensor data through the AI analysis module 202, abnormal behaviors and environmental changes are automatically identified, a construction site can be monitored in real time through the movable camera 401 of the equipment layer 4, high-quality video and images are captured, the construction site can be cruised regularly through the unmanned aerial vehicle 402, and video and data of a high-altitude visual angle are provided.
The unified management platform 201 is a data management platform integrating all monitoring devices.
The movable camera 401 is a camera that can be moved around a construction site and is mounted on a support with an adjustable position.
The unmanned aerial vehicle 402 is an unmanned aerial vehicle equipped with a high-definition camera and various sensors.
As shown in fig. 1 and 2, the application layer 1 further comprises an intelligent alarm system 101, a device detection and maintenance module 102 and a user interface module 103.
When the intelligent alarm system is used, various sensor data can be comprehensively analyzed through the intelligent alarm system 101, environmental factors and worker behaviors are considered, the alarm accuracy is improved, false alarms and false alarms are reduced, potential problems can be recognized and solved in advance through the equipment detection and maintenance module 102, equipment downtime is reduced, and the service life of equipment is prolonged.
Illustratively, as shown in FIG. 6, the present invention further includes the sensor module 403 including a temperature sensor 4031, a humidity sensor 4032, a noise sensor 4033, and a shock sensor 4034.
When the vibration sensor is used, the temperature sensor 4031 is used for conveniently monitoring the temperature change of a construction site, the humidity sensor 4032 is used for conveniently monitoring the humidity condition of the construction site, the noise sensor 4033 is used for conveniently monitoring the noise level of the construction site, and the vibration sensor 4034 is used for installing the vibration sensor in a key structure part to monitor the vibration condition in the construction process.
Illustratively, as shown in FIG. 7, the present invention further includes that the person identification device 404 includes an RFID tag 4041 and a wearable device 4042.
When the intelligent tracking system is used, the position and the state of a constructor can be tracked in real time through the RFID tag 4041 or the wearable equipment 4042 such as a smart bracelet, so that the safety of the constructor is ensured.
Illustratively, as shown in fig. 4, the present invention further includes, the network layer 3 includes a lorewan network module 301, an edge computing node module 302, and a data transmission management module 303.
When in use, the sensor data can be transmitted to the edge computing node module 302 and the unified management platform 201 through the LoRaWAN network module 301, and the edge computing node module 302 can perform preliminary processing and analysis of the data, so that the data transmission delay is reduced, and the response speed is improved.
The invention is used when in use:
1. and (3) data acquisition:
The movable camera 401 and the unmanned aerial vehicle 402 periodically acquire video data, the sensor module 403 acquires environmental parameter data in real time, and the personnel identification equipment 404 acquires worker position data in real time;
2. Edge calculation and preliminary processing:
The data is transmitted to an edge computing node module 302, preliminary processing and analysis are carried out, useless data is filtered, and key information is extracted;
3. Data transmission and fusion:
the primarily processed data are transmitted to the unified management platform 201 through the LoRaWAN network module 301, and multi-source data fusion is carried out to form a comprehensive monitoring view;
4. Intelligent analysis and alarm:
the AI analysis module 202 performs deep learning and machine learning analysis on the fusion data, automatically identifies abnormal behaviors and environmental changes, and triggers the intelligent alarm system 101 to perform intelligent alarm;
5. Device management and maintenance:
The unified management platform 201 performs centralized management on all monitoring devices, monitors the health condition of the devices, updates firmware, and performs fault diagnosis and maintenance record;
the predictive maintenance model analyzes the sensor data, predicts equipment faults, maintains in advance, and reduces equipment downtime.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the foregoing examples, and that the foregoing description and description are merely illustrative of the principles of this invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (5)
1. The AI-based building site Internet of things monitoring equipment group management tool is characterized by comprising an application layer (1), a platform layer (2), a network layer (3) and an equipment layer (4), wherein the platform layer (2) comprises a unified management platform (201), an AI analysis module (202) and a data storage management module (203);
the device layer (4) comprises a movable camera (401), a unmanned aerial vehicle (402), a sensor module (403) and a person identification device (404).
2. The AI-based worksite internet of things monitoring device group management tool of claim 1, wherein the application layer (1) includes an intelligent alarm system (101), a device detection and maintenance module (102), and a user interface module (103).
3. The AI-based worksite internet of things monitoring device group management tool of claim 1, wherein the sensor module (403) includes a temperature sensor (4031), a humidity sensor (4032), a noise sensor (4033), and a vibration sensor (4034).
4. The AI-based worksite internet of things monitoring device group management tool of claim 1, wherein the person identification device (404) includes an RFID tag (4041) and a wearable device (4042).
5. The AI-based worksite internet of things monitoring device group management tool of claim 1, wherein the network layer (3) includes a lorewan network module (301), an edge computing node module (302), and a data transmission management module (303).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411335153.1A CN119232758A (en) | 2024-09-24 | 2024-09-24 | AI-based building site Internet of things supervisory equipment crowd management instrument |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202411335153.1A CN119232758A (en) | 2024-09-24 | 2024-09-24 | AI-based building site Internet of things supervisory equipment crowd management instrument |
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| CN119232758A true CN119232758A (en) | 2024-12-31 |
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| CN202411335153.1A Pending CN119232758A (en) | 2024-09-24 | 2024-09-24 | AI-based building site Internet of things supervisory equipment crowd management instrument |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN121012910A (en) * | 2025-10-23 | 2025-11-25 | 中交华南勘察测绘科技有限公司 | An AI-based construction site safety monitoring and emergency response system |
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| CN113382058A (en) * | 2021-06-07 | 2021-09-10 | 刘天琼 | AIOT PaaS Internet of things operation platform |
| CN219418027U (en) * | 2023-03-23 | 2023-07-25 | 中电国科技术有限公司 | Building site safety supervision system |
| CN117651231A (en) * | 2023-10-19 | 2024-03-05 | 广东三鼎智慧信息科技有限公司 | A smart construction site visual management system |
| CN118521291A (en) * | 2024-05-20 | 2024-08-20 | 西安热工研究院有限公司 | Intelligent operation and maintenance management platform and method for offshore wind farm based on Internet of things |
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2024
- 2024-09-24 CN CN202411335153.1A patent/CN119232758A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113382058A (en) * | 2021-06-07 | 2021-09-10 | 刘天琼 | AIOT PaaS Internet of things operation platform |
| CN219418027U (en) * | 2023-03-23 | 2023-07-25 | 中电国科技术有限公司 | Building site safety supervision system |
| CN117651231A (en) * | 2023-10-19 | 2024-03-05 | 广东三鼎智慧信息科技有限公司 | A smart construction site visual management system |
| CN118521291A (en) * | 2024-05-20 | 2024-08-20 | 西安热工研究院有限公司 | Intelligent operation and maintenance management platform and method for offshore wind farm based on Internet of things |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN121012910A (en) * | 2025-10-23 | 2025-11-25 | 中交华南勘察测绘科技有限公司 | An AI-based construction site safety monitoring and emergency response system |
| CN121012910B (en) * | 2025-10-23 | 2026-03-17 | 中交华南勘察测绘科技有限公司 | Construction site safety monitoring and emergency response system based on AI |
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