CN115953267A - Intelligent construction site management system - Google Patents
Intelligent construction site management system Download PDFInfo
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- CN115953267A CN115953267A CN202310219024.5A CN202310219024A CN115953267A CN 115953267 A CN115953267 A CN 115953267A CN 202310219024 A CN202310219024 A CN 202310219024A CN 115953267 A CN115953267 A CN 115953267A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention discloses an intelligent construction site management system, which comprises an information acquisition module, an information authentication module, an equipment monitoring module, an attendance management module and a terminal management module; the information acquisition module is used for acquiring personnel images and personnel information of a construction site and real-time operation data of construction equipment; the information authentication module is used for matching the personnel images and generating personnel abnormity warning information; the equipment monitoring module is used for monitoring real-time operation data of the construction equipment and generating equipment abnormity warning information; the attendance management module is used for generating personnel attendance abnormal information according to the personnel information; and the terminal management module is used for storing the personnel abnormity warning information, the equipment abnormity warning information and the personnel attendance abnormity information and transmitting the information to the computer. The intelligent construction site management system can realize the omnibearing real-time supervision on the construction site, and ensure the safe and orderly execution of construction operation; the work pressure of management personnel is reduced, and traceable data support of abnormal conditions is provided for the management personnel.
Description
Technical Field
The invention belongs to the technical field of construction site management, and particularly relates to an intelligent construction site management system.
Background
With the development of science and technology, the management of construction sites is more and more intelligent. The working environment of the construction site is complex and changeable, safety accidents are often easy to occur, and how to realize real-time management of the construction site is a very troublesome problem for relevant units. Traditional building site management is usually realized through the manual work, only relies on the unable cover of manual management comprehensive, and the building site is in addition a large number, and the tour cycle is longer, is difficult to accomplish the real-time supervision to the building site, has the security leak of certain degree.
Disclosure of Invention
In order to solve the problems, the invention provides an intelligent construction site management system.
The technical scheme of the invention is as follows: an intelligent construction site management system comprises an information acquisition module, an information authentication module, an equipment monitoring module, an attendance management module and a terminal management module;
the information acquisition module is used for acquiring personnel images and personnel information of a construction site and real-time operation data of construction equipment;
the information authentication module is used for matching the personnel images and generating personnel abnormity warning information;
the equipment monitoring module is used for monitoring real-time operation data of the construction equipment and generating equipment abnormity warning information;
the attendance management module is used for generating personnel attendance abnormal information according to the personnel information;
and the terminal management module is used for storing the personnel abnormity warning information, the equipment abnormity warning information and the personnel attendance abnormity information and transmitting the information to the computer.
Further, the information acquisition module acquires personnel images through a camera installed on a construction site;
the information acquisition module acquires the operating temperature of the construction equipment through a temperature sensor arranged on the construction equipment, and takes the operating temperature as real-time operating data;
the information acquisition module is used for acquiring personnel information through attendance card punching equipment installed on a construction site.
Further, the information authentication module generating the abnormal personnel warning information comprises the following steps:
a1: collecting personnel images of a construction site, calculating an environment brightness coefficient of the personnel images, and adjusting brightness values of the personnel images according to the environment brightness coefficient;
a2: sequentially carrying out gray processing and normalization processing on the personnel images with the adjusted brightness values to obtain the latest personnel images;
a3: and inputting the latest personnel image into the face recognition model for face recognition, and taking the personnel image which is not matched with the constructor database as personnel abnormity warning information.
Further, in A1, the ambient light-dark coefficient of the person imageLSThe calculation formula of (2) is as follows:
in the formula (I), the compound is shown in the specification,β max which represents the maximum value of the brightness of the image of the person,β min representing the minimum value of the brightness of the image of the person,μrepresenting the average value of the brightness of the image of the person.
Further, in A3, the face recognition model includes an image input unit, a feature extraction unit, a parameter adjustment unit, and a result output unit;
the image input unit is used for inputting the latest personnel image into the face recognition model;
the feature extraction unit extracts a feature matrix of the latest personnel image by using a residual error network;
the parameter adjusting unit is used for adjusting the weight parameters and the bias parameters of the face recognition model according to the feature matrix of the latest personnel image;
and the result output unit is used for matching the latest personnel image with the constructor database after the parameters are adjusted, and taking the personnel image which is not matched with the constructor database as the personnel abnormity warning information.
Further, in the parameter adjusting unit, determining the scaling of the weight parameter and the scaling of the bias parameter according to the feature matrix of the latest personnel image; adjusting the weight parameter by using the scaling of the weight parameter; adjusting the bias parameters by using the scaling of the bias parameters;
wherein the scaling of the weight parameters 1 The calculation formula of (2) is as follows:
in the formula (I), the compound is shown in the specification,vthe eigenvalues of the feature matrix representing the latest image of the person,u 1 representing a weight parameter;
scaling of bias parameterss 2 The calculation formula of (c) is:
in the formula (I), the compound is shown in the specification,u 2 representing the bias parameter.
Further, the device monitoring module generating the device abnormality warning information includes the following steps:
b1: collecting the operating temperature of the construction equipment at each operating moment, and taking the operating temperature at each operating moment as real-time operating data;
b2: sequencing the real-time running data from small to large in sequence, and calculating the Euclidean distance between every two real-time running data in sequence to obtain a distance feature vector;
b3: setting an upper temperature threshold and a lower temperature threshold, classifying the distance feature vectors by adopting an SVM classifier, and taking real-time operation data which is smaller than the lower temperature threshold or larger than the upper temperature threshold as equipment abnormity warning information.
Further, in B3, the classification function of SVM classifierFThe expression of (c) is:
in the formula (I), the compound is shown in the specification,X max it is indicated that the upper threshold value of the temperature,X min which represents a lower threshold value for the temperature,x n denotes the firstnA distance feature vector value.
Further, the personnel information collected by the information collection module comprises a personnel card punching account number, personnel card punching time and a personnel card punching position;
the specific method for generating the abnormal attendance information of the personnel by the attendance management module comprises the following steps: setting a construction site full-duty time range and a construction site working area;
if the IP address corresponding to the personnel card punching position does not belong to the work area of the construction site, the personnel card punching account corresponding to the personnel card punching position is used as attendance abnormal information;
and if the personnel card punching time does not belong to the field total attendance time range, taking the personnel card punching account corresponding to the personnel card punching time as attendance abnormal information.
The invention has the beneficial effects that:
(1) The intelligent construction site management system generates abnormal personnel warning information by acquiring personnel images, personnel information and real-time operation data of construction equipment of a construction site and according to the personnel images; monitoring real-time operation data of construction equipment and generating equipment abnormity warning information; generating personnel attendance abnormal information according to the personnel information; through the abnormal warning information of personnel, the abnormal warning information of equipment and the abnormal attendance information of personnel, the operation condition of the construction site can be quickly and conveniently acquired;
(2) The intelligent construction site management system can realize the all-round real-time supervision of the construction site, and ensure the safe and orderly execution of construction operation; the work pressure of management personnel is reduced, and the traceable data support of abnormal conditions is provided for the management personnel.
Drawings
FIG. 1 is a block diagram of an intelligent worksite management system.
Detailed description of the preferred embodiments
The embodiments of the present invention will be further described with reference to the accompanying drawings.
As shown in fig. 1, the invention provides an intelligent construction site management system, which comprises an information acquisition module, an information authentication module, an equipment monitoring module, an attendance management module and a terminal management module;
the information acquisition module is used for acquiring personnel images and personnel information of a construction site and real-time operation data of construction equipment;
the information authentication module is used for matching the personnel images and generating personnel abnormity warning information;
the equipment monitoring module is used for monitoring real-time operation data of the construction equipment and generating equipment abnormity warning information;
the attendance management module is used for generating personnel attendance abnormal information according to the personnel information;
and the terminal management module is used for storing the personnel abnormity warning information, the equipment abnormity warning information and the personnel attendance abnormity information and transmitting the information to the computer.
In the embodiment of the invention, the information acquisition module acquires personnel images through a camera arranged on a construction site; the information acquisition module acquires the operating temperature of the construction equipment through a temperature sensor arranged on the construction equipment, and takes the operating temperature as real-time operating data;
the information acquisition module is used for acquiring personnel information through attendance card punching equipment installed on a construction site.
In the embodiment of the invention, the information authentication module for generating the abnormal personnel warning information comprises the following steps:
a1: collecting personnel images of a construction site, calculating an environment brightness coefficient of the personnel images, and adjusting brightness values of the personnel images according to the environment brightness coefficient; in actual operation, a light and shade threshold value can be set according to the current day environment of a construction site; if the ambient brightness coefficient is smaller than the brightness threshold, the brightness of the personnel image is enhanced; and if the ambient brightness coefficient is larger than or equal to the brightness threshold, reducing the brightness of the personnel image.
A2: sequentially carrying out gray processing and normalization processing on the personnel images with the adjusted brightness values to obtain the latest personnel images;
a3: and inputting the latest personnel image into the face recognition model for face recognition, and taking the personnel image which is not matched with the constructor database as personnel abnormity warning information. The identity card photos or the photos taken in real time of the construction site personnel are input into a computer system to be used as a construction personnel database.
In the embodiment of the invention, in A1, the ambient brightness coefficient of the personnel imageLSThe calculation formula of (2) is as follows:
in the formula (I), the compound is shown in the specification,β max which represents the maximum value of the brightness of the image of the person,β min representing the minimum value of the brightness of the image of the person,μrepresenting the average value of the brightness of the image of the person.
In the embodiment of the invention, in the step A3, the face recognition model comprises an image input unit, a feature extraction unit, a parameter adjustment unit and a result output unit;
the image input unit is used for inputting the latest personnel image into the human face recognition model;
the feature extraction unit extracts a feature matrix of the latest personnel image by using a residual error network;
the parameter adjusting unit is used for adjusting the weight parameters and the bias parameters of the face recognition model according to the feature matrix of the latest personnel image;
and the result output unit is used for matching the latest personnel image with the constructor database after the parameters are adjusted, and taking the personnel image which is not matched with the constructor database as the personnel abnormity warning information.
In the embodiment of the invention, in the parameter adjusting unit, the scaling of the weight parameter and the scaling of the bias parameter are determined according to the feature matrix of the latest personnel image; adjusting the weight parameter by using the scaling of the weight parameter; adjusting the bias parameters by utilizing the scaling of the bias parameters; if the scaling ratio is larger than or equal to 1, amplifying the weight parameter or the bias parameter; if the scaling ratio is less than 1, reducing the weight parameter or the bias parameter;
wherein the scaling of the weight parameters 1 The calculation formula of (c) is:
in the formula (I), the compound is shown in the specification,vthe eigenvalues of the feature matrix representing the latest image of the person,u 1 representing a weight parameter;
scaling of bias parameterss 2 The calculation formula of (2) is as follows:
in the formula (I), the compound is shown in the specification,u 2 representing the bias parameters.
In the embodiment of the present invention, the device monitoring module generating the device abnormality warning information includes the following steps:
b1: collecting the operating temperature of the construction equipment at each operating moment, and taking the operating temperature at each operating moment as real-time operating data;
b2: sequencing the real-time running data from small to large in sequence, and calculating the Euclidean distance between every two real-time running data in sequence to obtain a distance feature vector;
b3: setting an upper temperature threshold and a lower temperature threshold, classifying the distance feature vectors by adopting an SVM classifier, and taking real-time operation data which is smaller than the lower temperature threshold or larger than the upper temperature threshold as equipment abnormity warning information. The SVM classifier classifies real-time operation data into three categories according to the distance feature vector, wherein the first category is smaller than a lower temperature threshold, the second category is larger than or equal to the lower temperature threshold and smaller than or equal to an upper temperature threshold, and the third category is larger than the upper temperature threshold.
In the embodiment of the invention, in B3, the classification function of the SVM classifierFThe expression of (a) is:
in the formula (I), the compound is shown in the specification,X max it is indicated that the upper threshold value of the temperature,X min which represents a lower threshold value for the temperature,x n is shown asnA distance feature vector value.
In the embodiment of the invention, the personnel information acquired by the information acquisition module comprises a personnel card punching account, personnel card punching time and a personnel card punching position;
the specific method for generating the abnormal attendance information of the personnel by the attendance management module comprises the following steps: setting a construction site full duty time range and a construction site working area;
if the IP address corresponding to the personnel card punching position does not belong to the work area of the construction site, the personnel card punching account corresponding to the personnel card punching position is used as attendance abnormal information;
and if the personnel card punching time does not belong to the field total attendance time range, taking the personnel card punching account corresponding to the personnel card punching time as attendance abnormal information.
It will be appreciated by those of ordinary skill in the art that the embodiments described herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited embodiments and examples. Those skilled in the art, having the benefit of this disclosure, may effect numerous modifications thereto and changes may be made without departing from the scope of the invention in its aspects.
Claims (9)
1. An intelligent construction site management system is characterized by comprising an information acquisition module, an information authentication module, an equipment monitoring module, an attendance management module and a terminal management module;
the information acquisition module is used for acquiring personnel images and personnel information of a construction site and real-time operation data of construction equipment;
the information authentication module is used for matching personnel images and generating personnel abnormity warning information;
the equipment monitoring module is used for monitoring real-time operation data of the construction equipment and generating equipment abnormity warning information;
the attendance management module is used for generating personnel attendance abnormal information according to the personnel information;
and the terminal management module is used for storing the personnel abnormity warning information, the equipment abnormity warning information and the personnel attendance abnormity information and transmitting the information to the computer.
2. The intelligent worksite management system of claim 1, wherein the information acquisition module acquires personnel images through a camera installed at a construction worksite;
the information acquisition module acquires the operating temperature of the construction equipment through a temperature sensor arranged on the construction equipment, and takes the operating temperature as real-time operating data;
the information acquisition module is used for acquiring personnel information through attendance card punching equipment installed on a construction site.
3. The intelligent worksite management system of claim 1, wherein the information authentication module generating the personnel anomaly warning information includes the steps of:
a1: collecting personnel images of a construction site, calculating an environment brightness coefficient of the personnel images, and adjusting brightness values of the personnel images according to the environment brightness coefficient;
a2: sequentially carrying out gray level processing and normalization processing on the personnel images with the adjusted brightness values to obtain the latest personnel images;
a3: and inputting the latest personnel image into the face recognition model for face recognition, and taking the personnel image which is not matched with the constructor database as personnel abnormity warning information.
4. The intelligent worksite management system of claim 3, wherein in the A1, the ambient light and shade coefficient of the person imageLSThe calculation formula of (2) is as follows:
in the formula (I), the compound is shown in the specification,β max which represents the maximum value of the brightness of the image of the person,β min representing the minimum value of the brightness of the image of the person,μrepresenting the average value of the brightness of the image of the person.
5. The intelligent worksite management system of claim 3, wherein in the A3, the face recognition model comprises an image input unit, a feature extraction unit, a parameter adjustment unit and a result output unit;
the image input unit is used for inputting the latest personnel image into the face recognition model;
the feature extraction unit extracts a feature matrix of the latest personnel image by using a residual error network;
the parameter adjusting unit is used for adjusting the weight parameters and the bias parameters of the face recognition model according to the feature matrix of the latest personnel image;
and the result output unit is used for matching the latest personnel image with the constructor database after the parameters are adjusted, and taking the personnel image which is not matched with the constructor database as the abnormal personnel warning information.
6. The intelligent worksite management system of claim 5, wherein in the parameter adjustment unit, the scaling of the weight parameter and the scaling of the bias parameter are determined according to the feature matrix of the latest person image; adjusting the weight parameter by using the scaling of the weight parameter; adjusting the bias parameters by utilizing the scaling of the bias parameters;
wherein the scaling of the weight parameters 1 The calculation formula of (2) is as follows:
in the formula (I), the compound is shown in the specification,vthe eigenvalues of the feature matrix representing the latest image of the person,u 1 representing a weight parameter;
scaling of bias parameterss 2 The calculation formula of (2) is as follows:
in the formula (I), the compound is shown in the specification,u 2 representing the bias parameter.
7. The intelligent worksite management system of claim 1, wherein the equipment monitoring module generating equipment anomaly warning information includes the steps of:
b1: collecting the operating temperature of the construction equipment at each operating moment, and taking the operating temperature at each operating moment as real-time operating data;
b2: sequencing the real-time running data from small to large in sequence, and calculating the Euclidean distance between every two real-time running data in sequence to obtain a distance feature vector;
b3: setting an upper temperature threshold and a lower temperature threshold, classifying the distance feature vectors by adopting an SVM (support vector machine) classifier, and taking real-time operation data which is smaller than the lower temperature threshold or larger than the upper temperature threshold as equipment abnormality warning information.
8. The intelligent worksite management system of claim 7, whereinIn B3, the classification function of SVM classifierFThe expression of (a) is:
in the formula (I), the compound is shown in the specification,X max it is indicated that the upper threshold value of the temperature,X min which represents a lower threshold value for the temperature,x n is shown asnA distance feature vector value.
9. The intelligent worksite management system of claim 1, wherein the personnel information collected by the information collection module comprises a personnel card punching account number, personnel card punching time and a personnel card punching position;
the specific method for generating the abnormal attendance information of the personnel by the attendance management module comprises the following steps: setting a construction site full duty time range and a construction site working area;
if the IP address corresponding to the personnel card punching position does not belong to the work area of the construction site, the personnel card punching account corresponding to the personnel card punching position is used as attendance abnormal information;
and if the personnel card punching time does not belong to the field total attendance time range, taking the personnel card punching account corresponding to the personnel card punching time as attendance abnormal information.
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