Intelligent construction site construction monitoring system and method

Abstract

The invention discloses an intelligent construction site construction monitoring system and method, and the system comprises a data collection module which collects various types of data of a construction site in real time, and the data collection module collects the data of the construction site in real time through a sensor and monitoring equipment, and transmits the data to a data transmission module. The data transmission module is responsible for sending data to the data processing center and transmitting the collected data to the data transmission module of the data processing center, the data transmission module sends the collected data to the data processing module, and the data storage module stores the collected original data and the processed data. The data processing module stores the processed data to a distributed database or a time sequence database, and the early warning module automatically generates early warning information according to a preset threshold value and a rule, so that comprehensive monitoring and intelligent management of a construction process are realized by collecting, transmitting, processing and analyzing various data of a construction site in real time; and the construction safety and efficiency are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent construction sites, and particularly relates to an intelligent construction site construction monitoring system. Background Art

[0002] With the rapid development of the construction industry, the complexity and scale of construction site operations have been continuously increasing. Traditional construction management methods can no longer meet the needs of modern construction sites. There are many potential safety hazards during construction, such as equipment failures, personnel casualties, environmental pollution, etc. These problems seriously affect the construction progress and quality. Therefore, how to achieve real-time monitoring and intelligent management of the construction process has become an urgent problem to be solved in the current construction industry. Summary of the Invention

[0003] To achieve the above object, the technical solution of the present invention is as follows: An intelligent construction site construction monitoring system includes a data acquisition module that collects various types of data at the construction site in real time. The data acquisition module collects construction site data in real time through sensors and monitoring devices and transmits the data to a data transmission module. The data transmission module is responsible for sending the data to a data processing center by wireless or wired means, and transmitting the collected data to the data processing center by wireless or wired means. The system also includes a data processing module that processes and analyzes the transmitted data. The data transmission module sends the collected data to the data processing module through protocols such as MQTT and HTTP. There is a data storage module that stores the collected original data and the processed data. The data processing module stores the processed data in a distributed database or a time series database, and an early warning module that automatically generates early warning information according to preset thresholds and rules.

[0004] Preferably, the data acquisition module includes an environmental monitoring sub-module, an equipment monitoring sub-module, a personnel monitoring sub-module, and a progress monitoring sub-module. The environmental monitoring sub-module monitors the environmental parameters of the construction site. The equipment monitoring sub-module monitors the operating status of the construction site equipment. The personnel monitoring sub-module monitors the location and activity status of personnel. The progress monitoring sub-module monitors the construction progress.

[0005] Preferably, the data transmission module supports multiple communication protocols, including one or more of 4G, 5G, Wi-Fi, or LoRa.

[0006] Preferably, the data processing module uses machine learning and artificial intelligence algorithms to deeply analyze and predict the collected data.

[0007] Preferably, the environmental monitoring sub-module includes a temperature and humidity sensor, a wind speed sensor, an air quality sensor, and a noise sensor. The temperature and humidity data in the environment are collected by the temperature and humidity sensor, the wind speed value in the environment is collected by the wind speed sensor, the control index in the environment is collected by the air quality sensor, and the noise index in the environment is collected by the noise sensor. The sensors transmit the data to the data acquisition terminal by wireless means. The equipment monitoring sub-module includes a vibration sensor, a current sensor, and a locator. The vibration sensor is distributed on one side of the equipment, and the equipment vibration is monitored by the vibration sensor to determine whether the equipment has a fault. The current change of the equipment is monitored by the current sensor to determine whether the equipment is overloaded. The position information of the mobile device is monitored by the locator. The equipment data is transmitted through the Modbus or CAN bus protocol.

[0008] Preferably, the data processing module includes a data cleaning module. The data processing module is used to predict equipment failures, analyze personnel behavior, and predict construction progress through machine learning algorithms, and is used for image recognition and anomaly detection through deep learning.

[0009] Preferably, a smart construction site monitoring method implemented according to the system includes the following steps: Data acquisition step, various types of data on the construction site are collected in real time through the data acquisition module; Data transmission step, the collected data is sent to the data processing center through the data transmission module; Data processing step, the data received by the data processing center is processed; Data storage step, the collected raw data and processed data are stored through the data storage module; User interface display step, the monitoring results, warning information, and historical data are displayed to the user through the user interface module; Warning step, according to the preset thresholds and rules, the warning module automatically generates warning information and notifies relevant personnel through various methods; Control step, according to the monitoring results and warning information, the control module automatically or manually controls the construction site equipment and adjusts the construction plan.

[0010] Preferably, the data cleaning module is used to denoise, de-duplicate, complement, and standardize the format of the collected raw data; the data cleaning module supports the configuration of automatic cleaning rules, and users can customize the cleaning rules according to specific needs. The data cleaning module supports the identification and marking of abnormal data and provides correction suggestions for abnormal data.

[0011] Preferably, the data storage module adopts a distributed storage architecture, supporting the efficient storage and rapid retrieval of massive data; the data storage module supports multiple database types, including relational databases (such as MySQL, PostgreSQL) and non-relational databases (such as MongoDB, Redis), to adapt to the storage requirements of different types of data; the data storage module supports data compression and encryption to save storage space and ensure data security; the data storage module has automatic backup and disaster recovery functions.

[0012] Preferably, for the expansion of data analysis and calculation, the data processing center uses high-performance computing frameworks (such as Hadoop, Spark) for parallel computing of large-scale data to improve data processing efficiency. The data analysis module supports real-time stream data processing and batch data processing. The data analysis module incorporates various analysis algorithms, including statistical analysis, clustering analysis, regression analysis, and time series analysis. The data analysis module supports integration with third-party algorithm libraries (such as TensorFlow, PyTorch) for implementing more complex machine learning and deep learning tasks.

[0013] Preferably, for the expansion of data visualization and interaction, the data processing center provides rich visualization tools and components, supporting the generation of various chart types (such as line charts, bar charts, pie charts, heat maps) and 3D models. The visualization display module supports users to customize dashboards, and users can flexibly configure the display content according to their needs. The visualization display module supports multi-dimensional data drilling and linkage analysis to help users deeply explore the data value. The visualization display module supports AR / VR technology, and users can view the 3D model of the construction site and the data analysis results in real time through virtual reality devices.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: The intelligent construction site monitoring system and method of the present invention realizes the comprehensive monitoring and intelligent management of the construction process by collecting, transmitting, processing, and analyzing various types of data on the construction site in real time, improving construction safety and efficiency. The system has the advantages of comprehensive data collection, stable transmission, intelligent processing, secure storage, user-friendly interface, timely warning, and flexible control, and is applicable to the construction monitoring and management of various construction sites. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flowchart of the intelligent construction site monitoring method described in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0016] The following further clarifies the present invention in conjunction with the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are only used to illustrate the present invention and not to limit the scope of the present invention.

[0017] Embodiment: As Figure 1As shown in the figure, an intelligent construction site monitoring system includes a data acquisition module that collects various types of data on the construction site in real time. The data acquisition module collects construction site data in real time through sensors and monitoring devices, and transmits the data to the data transmission module. The data transmission module is responsible for sending the data to the data processing center by wireless or wired means, and the data transmission module that transmits the collected data to the data processing center by wireless or wired means. It also includes a data processing module that processes and analyzes the transmitted data. The data transmission module sends the collected data to the data processing module through protocols such as MQTT and HTTP. A data storage module stores the collected original data and the processed data. The data processing module stores the processed data in a distributed database or a time series database, and an early warning module that automatically generates early warning information according to preset thresholds and rules.

[0018] Further, the data acquisition module includes an environmental monitoring sub-module, an equipment monitoring sub-module, a personnel monitoring sub-module, and a progress monitoring sub-module. The environmental monitoring sub-module monitors the environmental parameters of the construction site. The equipment monitoring sub-module monitors the operating status of the construction site equipment. The personnel monitoring sub-module monitors the personnel position and activity status. The personnel monitoring sub-module, and the progress monitoring sub-module monitors the construction progress.

[0019] Further, the data transmission module supports multiple communication protocols, including one or more of 4G, 5G, Wi-Fi, or LoRa.

[0020] Further, the data processing module uses machine learning and artificial intelligence algorithms to deeply analyze and predict the collected data.

[0021] Further, the environmental monitoring sub-module includes a temperature and humidity sensor, a wind speed sensor, an air quality sensor, and a noise sensor. The temperature and humidity data in the environment are collected through the temperature and humidity sensor. The wind speed value in the environment is collected through the wind speed sensor. The control index in the environment is collected through the air quality sensor. The noise index in the environment is collected through the noise sensor. The sensor transmits the data to the data acquisition terminal by wireless means. The equipment monitoring sub-module includes a vibration sensor, a current sensor, and a locator. The vibration sensor is distributed on one side of the equipment. The vibration of the equipment is monitored through the vibration sensor to determine whether there is a fault in the equipment. The current change of the equipment is monitored through the current sensor to determine whether the equipment is overloaded. The position information of the mobile equipment is monitored through the locator. The equipment data is transmitted through the Modbus or CAN bus protocol.

[0022] Further, the data processing module includes a data cleaning module. The data processing module is used to predict equipment failures, analyze personnel behavior, and predict construction progress through machine learning algorithms, and is used for image recognition and anomaly detection through deep learning.

[0023] Further, a smart construction site monitoring method implemented according to the system includes the following steps: A data collection step of collecting various types of data on the construction site in real time through the data collection module; A data transmission step of sending the collected data to the data processing center through the data transmission module; A data processing step of processing the data received by the data processing center; A data storage step of storing the collected original data and processed data through the data storage module; A user interface display step of displaying the monitoring results, warning information, and historical data to the user through the user interface module; A warning step of automatically generating warning information according to preset thresholds and rules through the warning module, and notifying relevant personnel through various methods; A control step of automatically or manually controlling construction site equipment and adjusting the construction plan according to the monitoring results and warning information through the control module.

[0024] Further, the data cleaning module is used to denoise, de-duplicate, complement, and standardize the format of the collected original data; the data cleaning module supports the configuration of automated cleaning rules, and users can customize cleaning rules according to specific needs. The data cleaning module supports the identification and marking of abnormal data and provides correction suggestions for abnormal data.

[0025] Further, the data storage module adopts a distributed storage architecture, supports the efficient storage and rapid retrieval of massive data; the data storage module supports multiple database types, including relational databases (such as MySQL, PostgreSQL) and non-relational databases (such as MongoDB, Redis), to adapt to the storage needs of different types of data; the data storage module supports data compression and encryption to save storage space and ensure data security; the data storage module has automatic backup and disaster recovery functions.

[0026] Furthermore, for the expansion of data analysis and calculation, the data processing center adopts high-performance computing frameworks (such as Hadoop, Spark) for parallel computing of large-scale data to improve data processing efficiency. The data analysis module supports real-time stream data processing and batch data processing. The data analysis module incorporates a variety of analysis algorithms, including statistical analysis, clustering analysis, regression analysis, and time series analysis. The data analysis module supports integration with third-party algorithm libraries (such as TensorFlow, PyTorch) for implementing more complex machine learning and deep learning tasks.

[0027] Furthermore, for the expansion of data visualization and interaction, the data processing center provides rich visualization tools and components, supporting the generation of various chart types (such as line charts, bar charts, pie charts, heat maps) and 3D models. The visualization display module supports users to customize dashboards, and users can flexibly configure the display content according to their needs. The visualization display module supports multi-dimensional data drilling and linkage analysis to help users deeply explore the data value. The visualization display module supports AR / VR technology, and users can view the 3D model of the construction site and the data analysis results in real time through virtual reality devices.

[0028] It should be noted that the above content only illustrates the technical idea of the present invention and cannot be used to limit the protection scope of the present invention. For those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements all fall within the protection scope of the claims of the present invention.

Claims

1. An intelligent construction site construction monitoring system, characterized in that, It includes a data acquisition module that collects various types of data at the construction site in real time. The data acquisition module collects construction site data in real time through sensors and monitoring devices and transmits the data to the data transmission module. The data transmission module is responsible for sending the data to the data processing center wirelessly or by wire. It also includes a data processing module that processes and analyzes the transmitted data. The data transmission module sends the collected data to the data processing module through protocols such as MQTT and HTTP. There is a data storage module that stores the collected original data and the processed data. The data processing module stores the processed data in a distributed database or a time series database. And there is an early warning module that automatically generates early warning information according to preset thresholds and rules.

2. The intelligent construction site monitoring system according to claim 1, wherein The data acquisition module includes an environmental monitoring sub-module, an equipment monitoring sub-module, a personnel monitoring sub-module, and a progress monitoring sub-module. The environmental monitoring sub-module monitors construction site environmental parameters. The equipment monitoring sub-module monitors the operating status of construction site equipment. The personnel monitoring sub-module monitors personnel positions and activity statuses. The progress monitoring sub-module monitors the construction progress.

3. The intelligent construction site monitoring system according to claim 1, characterized in that, The data transmission module supports multiple communication protocols, including one or more of 4G, 5G, Wi-Fi, or LoRa.

4. The intelligent construction site monitoring system according to claim 1, wherein The data processing module uses machine learning and artificial intelligence algorithms to deeply analyze and predict the collected data.

5. The intelligent construction site monitoring system according to claim 1, wherein The environmental monitoring sub-module includes a temperature and humidity sensor, a wind speed sensor, an air quality sensor, and a noise sensor. The temperature and humidity data in the environment are collected through the temperature and humidity sensor. The wind speed value in the environment is collected through the wind speed sensor. The control index in the environment is collected through the air quality sensor. The noise index in the environment is collected through the noise sensor. The sensors transmit the data to the data acquisition terminal wirelessly. The equipment monitoring sub-module includes a vibration sensor, a current sensor, and a locator. The vibration sensor is distributed on one side of the equipment. Whether the equipment has a fault is judged by monitoring the vibration of the equipment through the vibration sensor. Whether the equipment is overloaded is judged by monitoring the current change of the equipment through the current sensor. The position information of the mobile equipment is monitored through the locator. The equipment data is transmitted through the Modbus or CAN bus protocol.

6. The intelligent construction site monitoring system according to claim 4, wherein The data processing module includes a data cleaning module. The data processing module is used to predict equipment failures, analyze personnel behaviors, and predict construction progress through machine learning algorithms, and is used for image recognition and anomaly detection through deep learning.

7. A smart construction site monitoring method implemented according to the system described in any one of claims 1 to 4, characterized in that, It includes the following steps: The data acquisition step, where various types of data at the construction site are collected in real time through the data acquisition module; The data transmission step, where the collected data is sent to the data processing center through the data transmission module; The data processing step, where the data received by the data processing center is processed; The data storage step, where the collected original data and the processed data are stored through the data storage module; The user interface display step, where the monitoring results, early warning information, and historical data are displayed to the user through the user interface module; The early warning step, where the early warning module automatically generates early warning information according to preset thresholds and rules and notifies relevant personnel through various methods; Control step, where the control module automatically or manually controls the construction site equipment and adjusts the construction plan according to the monitoring results and early warning information.

8. The intelligent construction site monitoring system according to claim 7, characterized in that, The data cleaning module is used to perform denoising, duplicate removal, complementation, and format standardization on the collected raw data; The data cleaning module supports the configuration of automated cleaning rules. Users can customize the cleaning rules according to specific requirements. The data cleaning module supports the identification and marking of abnormal data and provides correction suggestions for abnormal data.

9. The intelligent construction site monitoring system according to claim 7, wherein, The data storage module adopts a distributed storage architecture, supporting the efficient storage and rapid retrieval of massive data; the data storage module supports multiple database types, including relational databases and non-relational databases, to adapt to the storage requirements of different types of data; The data storage module supports data compression and encryption to save storage space and ensure data security; The data storage module has automatic backup and disaster recovery functions.

10. The intelligent construction site monitoring system according to claim 7, characterized in that, Expansion of data analysis and calculation. The data processing center uses a high-performance computing framework for parallel computing of large-scale data. The data analysis module supports real-time stream data processing and batch data processing. The data analysis module has multiple built-in analysis algorithms, including statistical analysis, clustering analysis, regression analysis, and time series analysis. The data analysis module supports integration with third-party algorithm libraries for more complex machine learning and deep learning tasks.

Images