CN117854047B - Construction site construction operation monitoring and alarming system and method based on Internet of things - Google Patents
Construction site construction operation monitoring and alarming system and method based on Internet of things Download PDFInfo
- Publication number
- CN117854047B CN117854047B CN202410263378.4A CN202410263378A CN117854047B CN 117854047 B CN117854047 B CN 117854047B CN 202410263378 A CN202410263378 A CN 202410263378A CN 117854047 B CN117854047 B CN 117854047B
- Authority
- CN
- China
- Prior art keywords
- construction
- dangerous
- site
- construction operation
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000010276 construction Methods 0.000 title claims abstract description 957
- 238000012544 monitoring process Methods 0.000 title claims abstract description 195
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000010845 search algorithm Methods 0.000 claims abstract description 13
- 238000004891 communication Methods 0.000 claims description 19
- 241000879809 Felis margarita Species 0.000 claims description 17
- 238000012545 processing Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 13
- 239000002360 explosive Substances 0.000 claims description 12
- 230000035945 sensitivity Effects 0.000 claims description 11
- ZINJLDJMHCUBIP-UHFFFAOYSA-N ethametsulfuron-methyl Chemical compound CCOC1=NC(NC)=NC(NC(=O)NS(=O)(=O)C=2C(=CC=CC=2)C(=O)OC)=N1 ZINJLDJMHCUBIP-UHFFFAOYSA-N 0.000 claims description 9
- 230000001681 protective effect Effects 0.000 claims description 9
- 239000013598 vector Substances 0.000 claims description 7
- 208000027418 Wounds and injury Diseases 0.000 claims description 6
- 230000033228 biological regulation Effects 0.000 claims description 6
- 230000006378 damage Effects 0.000 claims description 6
- 238000004880 explosion Methods 0.000 claims description 6
- 208000014674 injury Diseases 0.000 claims description 6
- 239000002699 waste material Substances 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 3
- 238000011161 development Methods 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 3
- 238000007667 floating Methods 0.000 claims description 3
- 238000005457 optimization Methods 0.000 claims description 3
- 239000004576 sand Substances 0.000 claims description 3
- 230000007704 transition Effects 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 9
- 230000000694 effects Effects 0.000 abstract description 3
- 238000003860 storage Methods 0.000 description 19
- 239000000463 material Substances 0.000 description 17
- 238000007726 management method Methods 0.000 description 10
- 238000007689 inspection Methods 0.000 description 7
- 230000006698 induction Effects 0.000 description 6
- 238000012806 monitoring device Methods 0.000 description 5
- 241000282326 Felis catus Species 0.000 description 4
- 238000013459 approach Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000013439 planning Methods 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000004035 construction material Substances 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 238000004148 unit process Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/17—Terrestrial scenes taken from planes or by drones
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/64—Three-dimensional objects
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Computing Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Emergency Management (AREA)
- Remote Sensing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of security alarm, and discloses a construction site construction operation monitoring alarm system and a construction site construction operation monitoring alarm method based on the Internet of things, wherein the system comprises a construction operation monitoring path generating module and a construction operation construction state monitoring module; the dangerous characteristic grade of the construction operation site is evaluated by combining the preset dangerous characteristic grade parameters of the construction operation with a data search algorithm, so that scientific and fine analysis of the dangerous characteristic of the construction operation site is realized, and the accuracy of dangerous degree identification of the dangerous characteristic of the construction operation site is improved; the data search algorithm is combined with the preset construction operation dangerous feature level and the alarm disposal mode, so that the construction operation dangerous features of different dangerous levels are accurately and efficiently alarm disposed, casualties and economic losses caused by the construction operation dangerous features are reduced, and the monitoring effect of the construction operation monitoring operation is improved.
Description
Technical Field
The invention relates to the technical field of security alarm, in particular to a construction site construction operation monitoring alarm system and method based on the Internet of things.
Background
The construction site monitoring management comprises safety management, material management and quality management, wherein the safety management mainly relates to construction safety problems such as fire prevention, disordered lap joint of wires, wearing of safety helmets, scaffold erection, safety belt use and the like, and a special safety team needs to be set up for daily grasping, daily multi-training study and prevention of accidents. And (3) material management, before project start, a one-time plan is proposed to an enterprise material department as a basis for supplying and preparing materials. In construction, according to the construction material consumption quota of engineering and engineering change and the adjusted construction budget, an adjusted feeding plan is timely provided for the construction enterprise material department, so that the material is ensured to be supplied according to actual requirements. The materials entering the construction site are required to be checked and accepted according to the feeding plan, the feeding certificate and the product qualification certificate, the quantity and the quality of the materials are strictly checked and checked according to the checking and accepting specifications and the metering, and the materials are required to be recorded in detail after the checking and accepting procedures are processed. The materials entering the field need to be checked and accepted for storage, and the materials stacked on the site need to be made with measures of fire resistance, moisture resistance, deterioration resistance and the like. The safe keeping of materials is realized specifically to individuals, so that the principle of who keeps who is responsible and who loses who reimburses is achieved. The construction facility materials should be taken according to the project rated materials plan, and the excessive materials are taken by handling corresponding procedures, and the reason of excessive consumption is noted when filling the material taking bill. The suppliers protect and account the rated or over-rated receipt. The quality management and the engineering quality inspection generally adopt a mode of combining on-site production workers with each other inspection and full-time inspection workers, and are based on engineering construction acceptance and acceptance standard, engineering construction technical operation standard and engineering quality inspection evaluation standard issued by the country or department. The quality inspection must be performed in the field project construction throughout the entire process from the raw material approach, the production of the construction unit process components, to the completion of the project, and so on. The existing safety management of construction site construction operation mainly relies on inspection personnel to carry out safety inspection or is matched with manual work to carry out remote construction operation safety monitoring by setting up monitoring equipment to shoot site construction states, however, the monitoring range of the existing construction operation monitoring mode is mostly fixed position monitoring, the whole construction operation site cannot be dynamically and flexibly and accurately monitored, the dangerous grade of the safety problem of the construction site cannot be intelligently and scientifically analyzed, and scientific alarm treatment cannot be carried out according to the dangerous grade of the safety problem of the construction site.
The Chinese patent application with publication number of CN111402542A discloses an intelligent construction safety monitoring system and a safety monitoring method, and adopts an induction device and a warning device; the sensing device comprises a sensor, a sensing processor and a sensing terminal module; the warning device comprises a warning indicator, a warning processor and a warning terminal module; the sensor is in communication connection with the induction processor and transmits monitoring data to the induction processor; the induction processor is in communication connection with the induction terminal module, and transmits signals to the warning device through the induction terminal module; the warning terminal module is used for receiving the data of the sensing device and is in communication connection with the warning processor, the warning processor is in communication connection with the warning processor, and a control signal is sent to the warning processor; the sensing device is arranged at the site risk position, and the warning device is arranged in the region threatened by the risk. The technology can only utilize the human body sensor, the fire source sensor, the material sensor and the overload sensor to carry out the safety alarm of the construction site construction operation under the specific dangerous scene, can only monitor the potential safety hazard of the specific position, has limited monitoring range, can not dynamically and flexibly and accurately monitor the whole construction operation site, can not intelligently and scientifically analyze the dangerous grade of the safety problem of the construction site, and can not carry out scientific alarm treatment according to the dangerous grade of the safety problem of the construction site.
Disclosure of Invention
(One) solving the technical problems
In order to solve the problems that the monitoring range of the existing construction operation monitoring mode is mostly fixed-position monitoring, the whole construction operation site cannot be dynamically and flexibly monitored accurately, the dangerous grade of the safety problem of the construction site cannot be intelligently and scientifically analyzed, and scientific alarm disposal cannot be carried out according to the dangerous grade of the safety problem of the construction site, the purposes of intelligent dynamic monitoring of the whole construction operation site, dangerous feature identification, dangerous feature grade assessment and classified scientific dangerous alarm disposal are achieved.
(II) technical scheme
The invention is realized by the following technical scheme: a construction site construction operation monitoring and alarming method based on the Internet of things comprises the following steps:
S1, acquiring construction site three-dimensional space model feature data, performing space model gridding processing on the construction site three-dimensional space model feature data, and generating construction site three-dimensional space model grid feature data;
s2, orderly selecting the central coordinates of the three-dimensional space model grid according to the characteristic data of the three-dimensional space model grid of the construction site, and constructing and generating construction site monitoring operation path data;
s3, when the monitoring equipment carries out construction operation monitoring according to the construction site monitoring operation path data, the monitoring equipment is collected and combined with the construction site object distance data to monitor operation safety distance threshold values to carry out obstacle avoidance judging operation of the construction operation monitoring process of the monitoring equipment;
s4, collecting construction characteristic image data of construction operation when the monitoring equipment executes construction operation monitoring and obstacle avoidance judging operation;
S5, performing construction image feature matching on the construction operation construction feature image data and the construction operation construction dangerous feature image data by adopting a data identification algorithm, identifying dangerous features of a construction operation site, analyzing and constructing construction operation site dangerous feature data, and outputting the construction operation site dangerous feature data;
S6, searching dangerous feature grade corresponding to the dangerous feature according to the dangerous feature keywords by adopting a data searching algorithm to search the dangerous feature data of the construction operation site and the dangerous feature grade data of the construction operation site, and analyzing and generating the dangerous feature grade data of the construction operation site;
And S7, searching and matching the construction operation site dangerous feature grade data with the construction operation dangerous feature grade and the alarm disposal mode data by adopting a data searching algorithm according to the dangerous feature grade keywords to obtain an alarm disposal mode corresponding to the dangerous feature grade, analyzing and generating construction operation dangerous feature alarm disposal mode data, and executing construction operation dangerous alarm disposal operation.
Preferably, the operation steps of collecting the three-dimensional space model feature data of the construction site, performing space model gridding processing on the three-dimensional space model feature data of the construction site and generating the three-dimensional space model grid feature data of the construction site are as follows:
S11, carrying out three-dimensional space scanning on a construction site through a laser three-dimensional scanner carried by an unmanned aerial vehicle and generating three-dimensional space model feature data of the construction site ；
S12, performing three-dimensional space model feature data on the construction siteWith side length/>Space model grid division is carried out on the cube space model grid blocks, and three-dimensional space model grid characteristic data/>, on construction sites, of the construction sites are generatedSide length/>, of the spatial model grid blockThe smaller the numerical value of the space model is, the denser the grid division of the three-dimensional space model of the construction site is, and the side length/>, of the space model grid block isThe larger the value of (2) is, the thinner the grid division of the three-dimensional space model of the construction site is.
Preferably, the operation steps of orderly selecting the central coordinates of the three-dimensional space model grid according to the characteristic data of the three-dimensional space model grid of the construction site, and constructing and generating the construction site monitoring operation path data are as follows:
s21, establishing a space rectangular coordinate system by taking the bottom surface of the three-dimensional space model of the construction site as a base surface, and orderly acquiring grid characteristic data of the three-dimensional space model of the construction site Coordinates of a central point of each cube space model grid block, and establishing a three-dimensional space model grid central coordinate set/>, of a construction site，; Wherein/>Represents the/>Grid center coordinates of three-dimensional space models of the construction sites; /(I)Representing the abscissa of the grid center coordinate of the three-dimensional space model of the construction site in a space rectangular coordinate system; /(I)Representing the ordinate of the grid center coordinate of the three-dimensional space model of the construction site in a space rectangular coordinate system; /(I)Representing the vertical coordinate of the grid center coordinate of the three-dimensional space model of the construction site in a space rectangular coordinate system; /(I)Representing the maximum value of the grid center coordinate number of the three-dimensional space model of the construction site;
S22, collecting the central coordinates of the grid of the three-dimensional space model of the construction site Grid center coordinates/>, of three-dimensional space model of middle construction siteAccording to the number/>Sequentially ordered series construction to generate construction site monitoring operation path data/>。
Preferably, when the monitoring device performs construction operation monitoring according to the construction site monitoring operation path data, the operation steps of collecting the distance data between the monitoring device and the object on the construction site and combining the monitoring operation safety distance threshold value to perform obstacle avoidance judgment operation in the construction operation monitoring process of the monitoring device are as follows:
s31, when the monitoring equipment monitors the operation path data according to the construction site When construction operation monitoring is executed, the distance between the monitoring equipment and a construction site object in the process of executing construction operation monitoring is acquired through the ultrasonic distance meter, and distance data/>, between the monitoring equipment and the construction site object, is generatedThe monitoring equipment represents that the unmanned aerial vehicle carries a shooting lens;
s32, establishing a monitoring operation safety distance threshold The monitoring operation safety distance threshold value represents the minimum value of the safety distance between the monitoring equipment and the object at the construction site;
s33, executing obstacle avoidance judgment operation in the construction operation monitoring process of the monitoring equipment; when (when) ≥/>If the monitoring equipment does not collide with the object on the construction site in the moving process, judging that the output monitoring equipment continues to move along the original direction to execute the monitoring operation; when/>﹤/>And judging that the movement direction of the output monitoring equipment is adjusted to move to execute the monitoring operation when the movement process of the monitoring equipment collides with an object on the construction site.
Preferably, when the monitoring device performs construction operation monitoring and obstacle avoidance judging operations, the operation steps of collecting construction operation feature image data of the construction operation are as follows:
S41, when the monitoring equipment executes construction operation monitoring and obstacle avoidance judging operations, real-time online shooting of construction characteristic images of a construction operation site is carried out through the unmanned aerial vehicle carried shooting lens, and a construction operation construction characteristic image data set is generated ，/>; Wherein/>Represents the/>Construction characteristic image data of construction work,/>The maximum value of the number of construction characteristic image data representing the construction work.
Preferably, the construction image feature matching is performed on the construction operation construction feature image data and the construction operation construction dangerous feature image data by adopting a data identification algorithm, and dangerous features of a construction operation site are identified, and the operation steps of analyzing and constructing the construction operation site dangerous feature data and outputting are as follows:
s51, building a construction operation construction dangerous feature image data set ，; Wherein/>Represents the/>Construction dangerous characteristic image data of construction workRepresenting the maximum value of construction operation construction dangerous feature image data, wherein the construction operation construction dangerous feature image comprises at least one of a constructor playing alarm image, a construction equipment unspecified placement image, a construction garbage random stacking image, a construction garbage unspecified classification image, a constructor unworn protective article image, a construction site lacking safety identification image, a construction site illegal use image, a construction site inflammable and explosive object unspecified protective image, a constructor construction operation foot pedal image, a constructor construction operation falling object smashing or construction equipment smashing image, a constructor construction operation electric shock image and a construction operation site inflammable and explosive object burning or explosion image;
S52, collecting construction operation construction characteristic image data by adopting a data identification algorithm Construction characteristic image data of middle construction work/>And construction operation construction dangerous feature image data set/>Image data of danger characteristics of middle construction operation/>Performing construction image feature matching and identifying dangerous features of a construction operation site, wherein the data identification algorithm identifies the dangerous features of the construction operation site by the following operation steps:
S521, initializing, defining related structural parameters as vectors, and constructing dangerous feature image data sets in construction operation Constitution/>In the dimension optimization problem, the dangerous feature search salsa is 1×/>, which represents the problem solutionArray, each variable valueAre all a floating point number, each/>The adaptability of each dangerous feature search sand cat is obtained through the adaptability function of the problem to be solved;
S522, searching hunting, wherein the final parameters and main parameters for controlling the transition of the exploration and development phases are When/>When 1, dangerous feature searching sand cat is used for constructing a dangerous feature image data set/>, during construction operationConstruction feature image data set/>, of construction operation in search spaceConstruction characteristic image data of middle construction work/>And construction operation construction hazard characteristic image data/>Image matching is carried out, the dangerous feature searching salsa searching process depends on release of low-frequency noise, and the dangerous feature searching salsa is assumed to have sensitivity range/>From 0 to 2kHz,/>Inspiration results from the dangerous feature search for the auditory features of a salsa, assuming a value of 2,/>For the current iteration number,/>For the maximum number of iterations, rand (0, 1) represents a random number of 0 to 1;
，/> Wherein/> Representing a sensitivity vector;
each dangerous feature search is performed on the sand cat according to the best candidate position And the current location/>And its sensitivity range/>Updating own position in construction work construction hazard characteristic image data set/>Searching and constructing operation construction characteristic image data/>Matched construction operation construction hazard characteristic image data/>Is a position of (2);
Wherein Representation/>+1 Iteration dangerous feature search method for construction dangerous feature image data set/>, of sand cat in construction operationCurrent location in search space,/>Representation/>Dangerous feature image data set/>, of construction operation and construction of sand cat in construction operation, based on secondary iteration dangerous feature searchSearching for the best candidate location in the space;
S523, attack prey, when When the risk characteristic is less than or equal to 1, searching for the construction operation construction risk characteristic image data/>, by using the sand catFind, use best candidate position/>And the current position/>Generating a random position, namely, constructing a dangerous feature image data set/>, in construction operationRandom search and construction operation construction characteristic image data/>, in search spaceMatched construction operation construction hazard characteristic image data/>Assuming that the sensitivity range of the dangerous feature search cat is a circle, randomly selecting an angle θ for each dangerous feature search cat by using a roulette method, and calculating a formula of the random position: /(I)Construction operation construction hazard characteristic image data/>Search, wherein/>Representing sensitivity vector,/>Cosine value representing angle θ,/>Image data set/>, representing dangerous feature search sand cat in construction operation and constructionRandom positions in the search space are searched for, and the random positions enable the dangerous feature search sand cat to approach and attack the prey, namely the dangerous feature image data set/>, is constructed in construction operationSearching out construction characteristic image data/>, of construction operation, in the search spaceMatched construction operation construction hazard characteristic image data/>; The random angle can avoid the algorithm from being trapped into local optimum, and when the search algorithm reaches the maximum iteration times, the construction characteristic image data/>, of the construction operation is outputMatched construction operation construction hazard characteristic image data/>Otherwise, continuing iteration until the maximum iteration times are met;
s524, constructing the construction dangerous feature image data according to the construction operation output in the S523 step Identifying dangerous characteristics of a construction operation site and generating dangerous characteristic data/>, of the construction operation site。
Preferably, the operation steps of searching the dangerous feature data of the construction operation site and the dangerous feature grade data of the construction operation site by adopting a data searching algorithm according to dangerous feature keywords to obtain dangerous feature grades corresponding to dangerous features, and analyzing and generating the dangerous feature grade data of the construction operation site are as follows:
s61, establishing a construction operation dangerous feature grade data set Wherein/>The construction operation dangerous feature data which indicates that the construction operation dangerous feature level is corresponding to the first level; said/>The corresponding construction operation dangerous characteristic data comprise at least one of foot treading and hollowing of construction personnel construction operation at any time, falling object injury or construction equipment injury of construction personnel construction operation at any time, electric shock of construction personnel construction operation at any time and burning or explosion of inflammable and explosive objects on construction operation site at any time;
Construction operation dangerous feature data corresponding to the second level is represented by the construction operation dangerous feature level; said/> The corresponding construction operation dangerous characteristic data comprise at least one of the fact that constructors do not wear protective articles, safety marks are lack on construction sites, illegal electricity consumption on the construction sites and combustible and explosive objects on the construction sites are not protected according to regulations;
Construction operation dangerous feature data corresponding to a third construction operation dangerous feature level is represented; said/> The corresponding construction operation dangerous characteristic data comprises at least one of playing alarm by constructors, not setting the construction equipment, randomly stacking the construction wastes and not classifying the construction wastes according to the regulations;
S62, adopting XGBoost algorithm to store the dangerous feature data of the construction operation site according to the dangerous feature keywords And construction operation dangerous characteristic grade data set/>Dangerous characteristic grade data/>To/>Dangerous feature grade search of construction operation dangerous features is carried out, and construction operation site dangerous feature data/> isanalyzedIs used for generating dangerous characteristic grade data/>。
Preferably, the step of searching and matching the construction operation site dangerous feature level data with the construction operation dangerous feature level and the alarm disposal mode data according to the dangerous feature level keyword to obtain an alarm disposal mode corresponding to the dangerous feature level by adopting a data searching algorithm, analyzing and generating construction operation dangerous feature alarm disposal mode data and executing construction operation dangerous alarm disposal operation is as follows:
s71, establishing a construction operation dangerous feature level and an alarm disposal mode data set Wherein/>Data representing the level of risk characteristics of construction work/>The corresponding alarm disposal mode is to execute the construction operation construction dangerous feature image data/>Dangerous characteristic data/>, of the construction operation siteDangerous characteristic grade data/>, of the construction operation sitePushing the construction operation monitoring center to a construction operation monitoring center through a mobile Internet of things communication network, wherein the construction operation monitoring center alarms through a loudspeaker to prompt constructors and starts emergency instructions to execute emergency rescue operation on the constructors;
data representing the level of risk characteristics of construction work/> The corresponding alarm disposal mode is to execute the construction operation construction dangerous feature image data/>Dangerous characteristic data/>, of the construction operation siteDangerous characteristic grade data/>, of the construction operation sitePushing the construction dangerous feature image data to a construction operation monitoring center through a mobile Internet of things communication network, wherein the construction operation monitoring center carries out construction operation on the construction dangerous feature image data/>Dangerous characteristic data/>, of the construction operation siteDangerous characteristic grade data/>, of the construction operation sitePushing feedback to construction operation site supervisory personnel through a mobile Internet of things communication network, and giving an alarm to prompt the supervisory personnel to execute potential safety hazard correction operation;
data representing the level of risk characteristics of construction work/> The corresponding alarm disposal mode is to execute the construction operation construction dangerous feature image data/>Dangerous characteristic data/>, of the construction operation siteDangerous characteristic grade data/>, of the construction operation sitePushing the construction dangerous feature image data to a construction operation monitoring center through a mobile Internet of things communication network, wherein the construction operation monitoring center carries out construction operation on the construction dangerous feature image data/>Dangerous characteristic data/>, of the construction operation siteDangerous characteristic grade data/>, of the construction operation sitePushing feedback to construction operation site supervisory personnel through a mobile Internet of things communication network, and giving an alarm to prompt the supervisory personnel to carry out construction safety education on specific construction personnel;
s72, adopting XGBoost algorithm in S62 to make the construction operation site dangerous feature grade data Dangerous feature level and alarm disposal mode data set/>, of construction operationThe construction operation dangerous feature level and the alarm disposal mode data are searched and matched according to the dangerous feature level keyword to obtain the construction operation site dangerous feature data/>Corresponding alarm disposal mode and generating construction operation dangerous feature alarm disposal mode data/>；
S73, alarming and disposing mode data according to construction operation dangerous characteristicsAnd executing construction operation danger alarming and disposal operation on constructors.
The system for realizing the construction site construction operation monitoring and alarming method based on the Internet of things comprises a construction operation monitoring path generating module, a construction operation construction state monitoring module and a construction operation danger rating and alarming and disposing module;
The construction operation monitoring path generation module comprises a construction site space model characteristic acquisition unit, a construction site space model gridding processing unit, a construction site monitoring path generation unit and a construction site monitoring execution obstacle avoidance judging unit;
The construction site space model feature acquisition unit acquires construction site three-dimensional space model feature data through a laser three-dimensional scanner; the construction site space model gridding processing unit is used for carrying out space model gridding processing on the construction site three-dimensional space model characteristic data and generating the construction site three-dimensional space model grid characteristic data; the construction site monitoring path generating unit sequentially selects the grid center coordinates of the three-dimensional space model according to the grid characteristic data of the three-dimensional space model of the construction site, and constructs and generates construction site monitoring operation path data; the construction site monitoring and execution obstacle avoidance judging unit is used for acquiring the distance data of the monitoring equipment and the object in the construction site by the ultrasonic distance meter and combining the safety distance threshold of the monitoring operation to carry out obstacle avoidance judging operation of the construction operation monitoring process of the monitoring equipment when the monitoring equipment carries out construction operation monitoring according to the construction site monitoring operation path data;
The construction operation construction state monitoring module comprises a construction operation construction characteristic acquisition unit, a construction operation construction dangerous characteristic storage unit, a construction operation construction dangerous characteristic analysis unit and a construction operation construction dangerous characteristic output unit;
The construction operation construction characteristic acquisition unit acquires construction operation construction characteristic image data through a shooting lens; the construction operation construction dangerous feature storage unit is used for storing construction operation construction dangerous feature image data; the construction operation construction dangerous feature analysis unit is used for carrying out construction image feature matching on the construction operation construction feature image data and the construction operation construction dangerous feature image data by adopting a data identification algorithm, identifying dangerous features of a construction operation site and analyzing and constructing construction operation site dangerous feature data; the construction operation construction dangerous feature output unit is used for outputting construction operation site dangerous feature data;
The construction operation danger rating and alarm handling module comprises a construction operation danger feature level storage unit, a construction operation danger feature level classification judging unit, a construction operation danger feature level and alarm handling mode storage unit, and a construction operation danger feature level matching alarm handling mode and execution unit;
the construction operation dangerous feature grade storage unit is used for storing construction operation dangerous feature grade data; the construction operation dangerous feature grade classification judging unit searches the dangerous feature grade corresponding to the dangerous feature according to the dangerous feature keywords by adopting a data searching algorithm to the construction operation site dangerous feature data and the construction operation dangerous feature grade data, and analyzes and generates construction operation site dangerous feature grade data; the construction operation dangerous feature level and alarm disposal mode storage unit is used for storing construction operation dangerous feature level and alarm disposal mode data; and the construction operation dangerous feature level matching alarm disposal mode and execution unit adopts a data search algorithm to search and match the construction operation site dangerous feature level data with the construction operation dangerous feature level and alarm disposal mode data according to dangerous feature level keywords to obtain an alarm disposal mode corresponding to the dangerous feature level, analyzes and generates construction operation dangerous feature alarm disposal mode data, and executes construction operation dangerous alarm disposal operation.
(III) beneficial effects
The invention provides a construction site construction operation monitoring and alarming system and method based on the Internet of things. The beneficial effects are as follows:
1. The construction site space model characteristic acquisition unit and the construction site space model gridding processing unit are matched with each other to accurately acquire a space model of a construction site and carry out space gridding processing, so that digital management of the construction site is realized, the whole construction region is covered on the whole surface of construction site monitoring, the scientificity of the construction site monitoring is improved, the construction site monitoring path generation unit and the construction site monitoring execution obstacle avoidance judging unit are matched with each other to establish space coordinates to acquire coordinates of a central point of a grid block of the construction site and scientifically establish a monitoring path for distributing the whole construction site, and meanwhile, an autonomous obstacle avoidance algorithm for monitoring equipment to execute monitoring operation is established according to distance parameters of objects of the detection equipment and the construction site, so that intelligent planning and dynamic obstacle avoidance monitoring of a path for the construction site monitoring are realized, and the efficiency and reliability of the safety monitoring of the construction site are improved.
2. The construction operation characteristic acquisition unit is used for carrying a shooting lens through the unmanned aerial vehicle to realize efficient acquisition of the construction operation state of a construction operation site, so that the monitoring workload of the construction operation site is reduced; the construction operation construction dangerous feature storage unit and the construction operation construction dangerous feature analysis unit accurately analyze and collect dangerous features of a construction operation site by combining preset construction operation construction dangerous feature image parameters with an intelligent recognition algorithm, so that efficiency and accuracy of construction operation site dangerous recognition are improved, safety of construction operation on the construction operation site is improved, intelligent dangerous recognition of construction operation on the construction site is realized, and accident occurrence probability of the construction operation is reduced.
3. The construction operation dangerous feature grade storage unit and the construction operation dangerous feature grade classification judging unit are matched with each other to perform dangerous feature grade assessment on dangerous features of a construction operation site by adopting a preset construction operation dangerous feature grade parameter and a data search algorithm, so that scientific and fine analysis on the dangerous features of the construction operation site is realized, and the accuracy of dangerous degree identification of the dangerous features of the construction operation site is improved; the construction operation dangerous feature grade classification judging unit and the construction operation dangerous feature grade and alarm disposal mode storage unit are matched with each other to adopt a data search algorithm to combine with a preset construction operation dangerous feature grade and an alarm disposal mode, so that accurate and efficient alarm disposal is realized aiming at construction operation dangerous features of different dangerous grades, casualties and economic losses caused by the construction operation dangerous features are reduced, and the monitoring effect of construction operation monitoring operation is improved.
Drawings
FIG. 1 is a schematic diagram of a construction site construction operation monitoring alarm system based on the Internet of things;
fig. 2 is a flow chart of a construction site construction operation monitoring and alarming method based on the internet of things.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the construction site construction operation monitoring and alarming system and method based on the Internet of things is as follows:
referring to fig. 1-2, a construction site construction operation monitoring and alarming method based on the internet of things comprises the following steps:
S1, acquiring construction site three-dimensional space model feature data, performing space model gridding processing on the construction site three-dimensional space model feature data, and generating construction site three-dimensional space model grid feature data;
s2, orderly selecting the grid center coordinates of the three-dimensional space model according to the grid characteristic data of the three-dimensional space model of the construction site, and constructing and generating construction site monitoring operation path data;
S3, when the monitoring equipment carries out construction operation monitoring according to the construction site monitoring operation path data, the monitoring equipment is collected and combined with the construction site object distance data to monitor an operation safety distance threshold value to carry out obstacle avoidance judgment operation in the construction operation monitoring process of the monitoring equipment;
s4, collecting construction characteristic image data of construction operation when the monitoring equipment executes construction operation monitoring and obstacle avoidance judging operation;
S5, performing construction image feature matching on construction operation construction feature image data and construction operation construction dangerous feature image data by adopting a data identification algorithm, identifying dangerous features of a construction operation site, analyzing and constructing construction operation site dangerous feature data, and outputting the construction operation site dangerous feature data;
S6, searching dangerous feature grade corresponding to the dangerous feature according to the dangerous feature key words by adopting a data searching algorithm to search the dangerous feature data of the construction operation site and the dangerous feature grade data of the construction operation site, and analyzing and generating the dangerous feature grade data of the construction operation site;
and S7, searching and matching the construction operation site dangerous feature grade data with the construction operation dangerous feature grade and the alarm disposal mode data according to the dangerous feature grade keywords to obtain an alarm disposal mode corresponding to the dangerous feature grade, analyzing and generating construction operation dangerous feature alarm disposal mode data, and executing construction operation dangerous alarm disposal operation.
Further, referring to fig. 1-2, the operation steps of collecting the three-dimensional space model feature data of the construction site, performing space model gridding processing on the three-dimensional space model feature data of the construction site, and generating the three-dimensional space model grid feature data of the construction site are as follows:
S11, carrying out three-dimensional space scanning on a construction site through a laser three-dimensional scanner carried by an unmanned aerial vehicle and generating three-dimensional space model feature data of the construction site ；
S12, performing three-dimensional space model feature data on construction sitesWith side length/>Space model grid division is carried out on the cube space model grid blocks, and three-dimensional space model grid characteristic data/>, on construction sites, of the construction sites are generatedSide length/>, of a spatial model grid blockThe smaller the numerical value of (2), the denser the grid division of the three-dimensional space model of the construction site, and the side length of the grid block of the space modelThe larger the value of (2) is, the thinner the grid division of the three-dimensional space model of the construction site is.
According to the three-dimensional space model grid characteristic data of the construction site, sequentially selecting the central coordinates of the three-dimensional space model grid, and constructing and generating the construction site monitoring operation path data, the operation steps are as follows:
S21, establishing a space rectangular coordinate system by taking the bottom surface of the three-dimensional space model of the construction site as a base surface, and orderly acquiring grid characteristic data of the three-dimensional space model of the construction site Coordinates of a central point of each cube space model grid block, and establishing a three-dimensional space model grid central coordinate set/>, of a construction site，; Wherein/>Represents the/>Grid center coordinates of three-dimensional space models of the construction sites; /(I)Representing the abscissa of the grid center coordinate of the three-dimensional space model of the construction site in a space rectangular coordinate system; /(I)Representing the ordinate of the grid center coordinate of the three-dimensional space model of the construction site in a space rectangular coordinate system; /(I)Representing the vertical coordinate of the grid center coordinate of the three-dimensional space model of the construction site in a space rectangular coordinate system; /(I)Representing the maximum value of the grid center coordinate number of the three-dimensional space model of the construction site;
S22, collecting center coordinates of grid of three-dimensional space model of construction site Grid center coordinates/>, of three-dimensional space model of middle construction siteAccording to the number/>Sequentially ordered series construction to generate construction site monitoring operation path data/>。
When the monitoring equipment monitors construction operation according to construction site monitoring operation path data, the operation steps of collecting the distance data between the monitoring equipment and an object at the construction site and combining the monitoring operation safety distance threshold value to carry out obstacle avoidance judgment operation in the construction operation monitoring process of the monitoring equipment are as follows:
s31, when the monitoring equipment monitors the operation path data according to the construction site When construction operation monitoring is executed, the distance between the monitoring equipment and a construction site object in the process of executing construction operation monitoring is acquired through the ultrasonic distance meter, and distance data/>, between the monitoring equipment and the construction site object, is generatedThe monitoring equipment represents that the unmanned aerial vehicle carries a shooting lens;
s32, establishing a monitoring operation safety distance threshold The monitoring operation safety distance threshold represents the minimum value of the safety distance between the monitoring equipment and the object at the construction site;
s33, executing obstacle avoidance judgment operation in the construction operation monitoring process of the monitoring equipment; when (when) ≥/>If the monitoring equipment does not collide with the object on the construction site in the moving process, judging that the output monitoring equipment continues to move along the original direction to execute the monitoring operation; when/>﹤/>And judging that the movement direction of the output monitoring equipment is adjusted to move to execute the monitoring operation when the movement process of the monitoring equipment collides with an object on the construction site.
The construction site space model characteristic acquisition unit and the construction site space model gridding processing unit are matched with each other to accurately acquire a space model of a construction site and carry out space gridding processing, so that digital management of the construction site is realized, the whole construction region is covered on the whole surface of construction site monitoring, the scientificity of the construction site monitoring is improved, the construction site monitoring path generation unit and the construction site monitoring execution obstacle avoidance judging unit are matched with each other to establish space coordinates to acquire coordinates of a central point of a grid block of the construction site and scientifically establish a monitoring path for distributing the whole construction site, and meanwhile, an autonomous obstacle avoidance algorithm for monitoring equipment to execute monitoring operation is established according to distance parameters of objects of the detection equipment and the construction site, so that intelligent planning and dynamic obstacle avoidance monitoring of a path for the construction site monitoring are realized, and the efficiency and reliability of the safety monitoring of the construction site are improved.
Further, referring to fig. 1 to 2, when the monitoring device performs the construction operation monitoring and obstacle avoidance judging operation, the operation steps of collecting the construction characteristic image data of the construction operation are as follows:
S41, when the monitoring equipment executes construction operation monitoring and obstacle avoidance judging operations, real-time online shooting of construction characteristic images of a construction operation site is carried out through the unmanned aerial vehicle carried shooting lens, and a construction operation construction characteristic image data set is generated ，/>; Wherein/>Represents the/>Construction characteristic image data of construction work,/>The maximum value of the number of construction characteristic image data representing the construction work.
The construction image feature matching is carried out on the construction image feature data and the construction dangerous feature image data of the construction operation by adopting a data identification algorithm, the dangerous feature of the construction operation site is identified, and the operation steps of analyzing and constructing the construction site dangerous feature data and outputting are as follows:
s51, building a construction operation construction dangerous feature image data set ，; Wherein/>Represents the/>Construction dangerous characteristic image data of construction workRepresenting the maximum value of construction operation construction dangerous feature image data, wherein the construction operation construction dangerous feature image comprises at least one of a constructor playing alarm image, a construction equipment not specified placement image, a construction garbage random stacking image, a construction garbage not specified classification image, a constructor not wearing a protective article image, a construction site lacking a safety identification image, a construction site illegal use image, a construction site inflammable and explosive object not specified protective image, a constructor construction operation at any time pedal empty image, a constructor construction operation at any time falling object smashing or construction equipment smashing image, a constructor construction operation at any time electric shock image and a construction site inflammable and explosive object at any time burning or explosion image;
S52, collecting construction operation construction characteristic image data by adopting a data identification algorithm Construction characteristic image data of middle construction work/>And construction operation construction dangerous feature image data set/>Image data of danger characteristics of middle construction operation/>The construction image feature matching is carried out, the dangerous feature of the construction operation site is identified, and the data identification algorithm identifies the dangerous feature of the construction operation site by the following operation steps:
S521, initializing, defining related structural parameters as vectors, and constructing dangerous feature image data sets in construction operation Constitution/>In the dimension optimization problem, the dangerous feature search salsa is 1×/>, which represents the problem solutionArray, each variable valueAre all a floating point number, each/>The adaptability of each dangerous feature search sand cat is obtained through the adaptability function of the problem to be solved;
S522, searching hunting, wherein the final parameters and main parameters for controlling the transition of the exploration and development phases are When/>When 1, dangerous feature searching sand cat is used for constructing a dangerous feature image data set/>, during construction operationConstruction feature image data set/>, of construction operation in search spaceConstruction characteristic image data of middle construction work/>And construction operation construction hazard characteristic image data/>Image matching is carried out, the dangerous feature searching salsa searching process depends on release of low-frequency noise, and the dangerous feature searching salsa is assumed to have sensitivity range/>From 0 to 2kHz,/>Inspiration results from the dangerous feature search for the auditory features of a salsa, assuming a value of 2,/>For the current iteration number,/>For the maximum number of iterations, rand (0, 1) represents a random number of 0 to 1;
，/> Wherein/> Representing a sensitivity vector;
each dangerous feature search is performed on the sand cat according to the best candidate position And the current location/>And its sensitivity range/>Updating own position in construction work construction hazard characteristic image data set/>Searching and constructing operation construction characteristic image data/>Matched construction operation construction hazard characteristic image data/>Is a position of (2);
Wherein Representation/>+1 Iteration dangerous feature search method for construction dangerous feature image data set/>, of sand cat in construction operationCurrent location in search space,/>Representation/>Dangerous feature image data set/>, of construction operation and construction of sand cat in construction operation, based on secondary iteration dangerous feature searchSearching for the best candidate location in the space; /(I)
S523, attack prey, whenWhen the risk characteristic is less than or equal to 1, searching for the construction operation construction risk characteristic image data/>, by using the sand catFind, use best candidate position/>And the current position/>Generating a random position, namely, constructing a dangerous feature image data set/>, in construction operationRandom search and construction operation construction characteristic image data/>, in search spaceMatched construction operation construction hazard characteristic image data/>Assuming that the sensitivity range of the dangerous feature search cat is a circle, randomly selecting an angle θ for each dangerous feature search cat by using a roulette method, and calculating a formula of the random position: /(I)Construction operation construction hazard characteristic image data/>Search, wherein/>Representing sensitivity vector,/>Cosine value representing angle θ,/>Image data set/>, representing dangerous feature search sand cat in construction operation and constructionRandom positions in the search space are searched for, and the random positions enable the dangerous feature search sand cat to approach and attack the prey, namely the dangerous feature image data set/>, is constructed in construction operationSearching out construction characteristic image data/>, of construction operation, in the search spaceMatched construction operation construction hazard characteristic image data/>; The random angle can avoid the algorithm from being trapped into local optimum, and when the search algorithm reaches the maximum iteration times, the construction characteristic image data/>, of the construction operation is outputMatched construction operation construction hazard characteristic image data/>Otherwise, continuing iteration until the maximum iteration times are met;
s524, constructing the construction dangerous feature image data according to the construction operation output in the S523 step Identifying dangerous characteristics of a construction operation site and generating dangerous characteristic data/>, of the construction operation site。
The construction operation characteristic acquisition unit is used for carrying a shooting lens through the unmanned aerial vehicle to realize efficient acquisition of the construction operation state of a construction operation site, so that the monitoring workload of the construction operation site is reduced; the construction operation construction dangerous feature storage unit and the construction operation construction dangerous feature analysis unit accurately analyze and collect dangerous features of a construction operation site by combining preset construction operation construction dangerous feature image parameters with an intelligent recognition algorithm, so that efficiency and accuracy of construction operation site dangerous recognition are improved, safety of construction operation on the construction operation site is improved, intelligent dangerous recognition of construction operation on the construction site is realized, and accident occurrence probability of the construction operation is reduced.
Further, referring to fig. 1-2, the operation steps of searching the dangerous feature level data and the dangerous feature level data of the construction operation site according to the dangerous feature keywords to obtain dangerous feature levels corresponding to the dangerous features by adopting a data search algorithm, and analyzing and generating the dangerous feature level data of the construction operation site are as follows:
s61, establishing a construction operation dangerous feature grade data set Wherein/>The construction operation dangerous feature data which indicates that the construction operation dangerous feature level is corresponding to the first level; /(I)The corresponding construction operation dangerous characteristic data comprise at least one of foot treading and hollowing of construction personnel construction operation at any time, falling object injury or construction equipment injury of construction personnel construction operation at any time, electric shock of construction personnel construction operation at any time and burning or explosion of inflammable and explosive objects on construction operation site at any time;
Construction operation dangerous feature data corresponding to the second level is represented by the construction operation dangerous feature level; /(I) The corresponding construction operation dangerous characteristic data comprise at least one of the fact that constructors do not wear protective articles, safety marks are lack on construction sites, illegal electricity consumption on the construction sites and combustible and explosive objects on the construction sites are not protected according to regulations;
Construction operation dangerous feature data corresponding to a third construction operation dangerous feature level is represented; /(I) The corresponding construction operation dangerous characteristic data comprises at least one of playing alarm by constructors, not setting the construction equipment, randomly stacking the construction wastes and not classifying the construction wastes according to the regulations;
s62, adopting XGBoost algorithm to store the dangerous feature data of the construction operation site according to the dangerous feature keywords And construction operation dangerous characteristic grade data set/>Dangerous characteristic grade data/>To the point ofDangerous feature grade search of construction operation dangerous features is carried out, and construction operation site dangerous feature data/> isanalyzedIs used for generating dangerous characteristic grade data/>。
The construction operation site dangerous feature grade data and the construction operation dangerous feature grade and alarm disposal mode data are searched and matched according to the dangerous feature grade keywords to obtain an alarm disposal mode corresponding to the dangerous feature grade by adopting a data search algorithm, and the operation steps of analyzing and generating the construction operation dangerous feature alarm disposal mode data and executing the construction operation dangerous alarm disposal operation are as follows:
s71, establishing a construction operation dangerous feature level and an alarm disposal mode data set Wherein/>Data representing the level of risk characteristics of construction work/>The corresponding alarm disposal mode is to execute construction operation and construction dangerous feature image data/>Dangerous characteristic data of construction operation siteDangerous characteristic grade data/>, of construction operation sitePushing the construction operation monitoring center to a construction operation monitoring center through a mobile Internet of things communication network, alarming and prompting constructors through a loudspeaker, and starting emergency instructions to execute emergency rescue operation on the constructors;
data representing the level of risk characteristics of construction work/> The corresponding alarm disposal mode is to execute construction operation and construction dangerous feature image data/>Dangerous characteristic data/>, of construction operation siteDangerous characteristic grade data/>, of construction operation sitePushing the construction dangerous feature image data to a construction operation monitoring center through a mobile Internet of things communication network, wherein the construction operation monitoring center carries out construction operation construction dangerous feature image data/>Dangerous characteristic data/>, of construction operation siteDangerous characteristic grade data/>, of construction operation sitePushing feedback to construction operation site supervisory personnel through a mobile Internet of things communication network, and giving an alarm to prompt the supervisory personnel to execute potential safety hazard correction operation;
data representing the level of risk characteristics of construction work/> The corresponding alarm disposal mode is to execute construction operation and construction dangerous feature image data/>Dangerous characteristic data/>, of construction operation siteDangerous characteristic grade data/>, of construction operation sitePushing the construction dangerous feature image data to a construction operation monitoring center through a mobile Internet of things communication network, wherein the construction operation monitoring center carries out construction operation construction dangerous feature image data/>Dangerous characteristic data/>, of construction operation siteDangerous characteristic grade data/>, of construction operation sitePushing feedback to construction operation site supervisory personnel through a mobile Internet of things communication network, and giving an alarm to prompt the supervisory personnel to carry out construction safety education on specific construction personnel;
S72, adopting XGBoost algorithm in S62 to process the dangerous feature grade data of the construction operation site Dangerous feature level and alarm disposal mode data set/>, of construction operationThe dangerous feature grade of the middle construction operation and the alarm disposal mode data are searched and matched according to the key words of the dangerous feature grade to obtain the dangerous feature data/>, of the construction operation siteCorresponding alarm disposal mode and generating construction operation dangerous feature alarm disposal mode data/>；
S73, alarming and disposing mode data according to construction operation dangerous characteristicsAnd executing construction operation danger alarming and disposal operation on constructors.
The construction operation dangerous feature grade storage unit and the construction operation dangerous feature grade classification judging unit are matched with each other to perform dangerous feature grade assessment on dangerous features of a construction operation site by adopting a preset construction operation dangerous feature grade parameter and a data search algorithm, so that scientific and fine analysis on the dangerous features of the construction operation site is realized, and the accuracy of dangerous degree identification of the dangerous features of the construction operation site is improved; the construction operation dangerous feature grade classification judging unit and the construction operation dangerous feature grade and alarm disposal mode storage unit are matched with each other to adopt a data search algorithm to combine with a preset construction operation dangerous feature grade and an alarm disposal mode, so that accurate and efficient alarm disposal is realized aiming at construction operation dangerous features of different dangerous grades, casualties and economic losses caused by the construction operation dangerous features are reduced, and the monitoring effect of construction operation monitoring operation is improved.
The system comprises a construction operation monitoring path generation module, a construction operation construction state monitoring module and a construction operation danger rating and alarm disposal module;
The construction operation monitoring path generation module comprises a construction site space model characteristic acquisition unit, a construction site space model gridding processing unit, a construction site monitoring path generation unit and a construction site monitoring execution obstacle avoidance judging unit;
The construction site space model feature acquisition unit acquires construction site three-dimensional space model feature data through a laser three-dimensional scanner; the construction site space model gridding processing unit is used for carrying out space model gridding processing on the construction site three-dimensional space model characteristic data and generating the construction site three-dimensional space model grid characteristic data; the construction site monitoring path generating unit sequentially selects the grid center coordinates of the three-dimensional space model according to the grid characteristic data of the three-dimensional space model of the construction site, and constructs and generates construction site monitoring operation path data; the construction site monitoring and execution obstacle avoidance judging unit is used for acquiring the distance data of the monitoring equipment and the object in the construction site by the ultrasonic distance meter and combining the safety distance threshold of the monitoring operation to carry out obstacle avoidance judging operation of the construction operation monitoring process of the monitoring equipment when the monitoring equipment carries out construction operation monitoring according to the construction site monitoring operation path data;
the construction operation construction state monitoring module comprises a construction operation construction characteristic acquisition unit, a construction operation construction dangerous characteristic storage unit, a construction operation construction dangerous characteristic analysis unit and a construction operation construction dangerous characteristic output unit;
The construction operation construction characteristic acquisition unit acquires construction operation construction characteristic image data through a shooting lens; the construction operation construction dangerous feature storage unit is used for storing construction operation construction dangerous feature image data; the construction operation construction dangerous feature analysis unit is used for carrying out construction image feature matching on construction operation construction feature image data and construction operation construction dangerous feature image data by adopting a data identification algorithm, identifying dangerous features of a construction operation site and analyzing and constructing construction operation site dangerous feature data; the construction operation construction dangerous feature output unit is used for outputting construction operation site dangerous feature data;
the construction operation danger rating and alarm handling module comprises a construction operation danger feature level storage unit, a construction operation danger feature level classification judging unit, a construction operation danger feature level and alarm handling mode storage unit, a construction operation danger feature level matching alarm handling mode and an executing unit;
The construction operation dangerous feature grade storage unit is used for storing construction operation dangerous feature grade data; the construction operation dangerous feature grade classification judging unit searches the dangerous feature grade corresponding to the dangerous feature according to the dangerous feature keywords by adopting a data searching algorithm to the construction operation site dangerous feature data and the construction operation dangerous feature grade data, and analyzes and generates the construction operation site dangerous feature grade data; the construction operation dangerous feature level and alarm disposal mode storage unit is used for storing construction operation dangerous feature level and alarm disposal mode data; the construction operation dangerous feature level matching alarm disposal mode and execution unit adopts a data search algorithm to search and match the construction operation site dangerous feature level data with the construction operation dangerous feature level and the alarm disposal mode data into an alarm disposal mode corresponding to the dangerous feature level according to the dangerous feature level keyword, analyzes and generates construction operation dangerous feature alarm disposal mode data, and executes construction operation dangerous alarm disposal operation.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. The construction site construction operation monitoring and alarming method based on the Internet of things is characterized by comprising the following steps of:
S1, acquiring construction site three-dimensional space model feature data, performing space model gridding processing on the construction site three-dimensional space model feature data, and generating construction site three-dimensional space model grid feature data;
s2, orderly selecting the central coordinates of the three-dimensional space model grid according to the characteristic data of the three-dimensional space model grid of the construction site, and constructing and generating construction site monitoring operation path data;
s3, when the monitoring equipment carries out construction operation monitoring according to the construction site monitoring operation path data, the monitoring equipment is collected and combined with the construction site object distance data to monitor operation safety distance threshold values to carry out obstacle avoidance judging operation of the construction operation monitoring process of the monitoring equipment;
s4, collecting construction characteristic image data of construction operation when the monitoring equipment executes construction operation monitoring and obstacle avoidance judging operation;
s5, performing construction image feature matching on the construction operation construction feature image data and construction operation construction dangerous feature image data, identifying dangerous features of a construction operation site, analyzing and constructing construction operation site dangerous feature data, and outputting the construction operation site dangerous feature data;
the step S5 comprises the following steps:
s51, building a construction operation construction dangerous feature image data set ，; Wherein/>Represents the/>Construction dangerous characteristic image data of construction workRepresenting the maximum value of construction operation construction dangerous feature image data, wherein the construction operation construction dangerous feature image comprises at least one of a constructor playing alarm image, a construction equipment unspecified placement image, a construction garbage random stacking image, a construction garbage unspecified classification image, a constructor unworn protective article image, a construction site lacking safety identification image, a construction site illegal use image, a construction site inflammable and explosive object unspecified protective image, a constructor construction operation foot pedal image, a constructor construction operation falling object smashing or construction equipment smashing image, a constructor construction operation electric shock image and a construction operation site inflammable and explosive object burning or explosion image;
s52, collecting construction characteristic image data of construction operation Construction characteristic image data of middle construction work/>And construction operation construction dangerous feature image data set/>Image data of danger characteristics of middle construction operation/>Performing construction image feature matching and identifying dangerous features of a construction operation site, wherein the operation steps of the dangerous features of the construction operation site are as follows:
S521, initializing, defining related structural parameters as vectors, and constructing dangerous feature image data sets in construction operation Constitution/>In the dimension optimization problem, the dangerous feature search salsa is 1×/>, which represents the problem solutionArray, each variable valueAre all a floating point number, each/>The adaptability of each dangerous feature search sand cat is obtained through the adaptability function of the problem to be solved;
S522, searching hunting, wherein the final parameters and main parameters for controlling the transition of the exploration and development phases are When/>When 1, dangerous feature searching sand cat is used for constructing a dangerous feature image data set/>, during construction operationConstruction feature image data set/>, of construction operation in search spaceConstruction characteristic image data of middle construction work/>And construction operation construction dangerous feature image dataImage matching is carried out, and each dangerous feature searching sand cat is carried out according to the best candidate position/>And the current location/>And its sensitivity range/>Updating own position in construction work construction hazard characteristic image data set/>Searching and constructing operation construction characteristic image data/>Matched construction operation construction hazard characteristic image data/>Is a position of (2);
S523, attack prey, when When the risk characteristic is less than or equal to 1, searching for the risk characteristic image data of the construction operation performed by the sand catFind, use best candidate position/>And the current position/>Generating a random position, namely, constructing a dangerous feature image data set/>, in construction operationRandom search and construction operation construction characteristic image data/>, in search spaceMatched construction operation construction hazard characteristic image data/>Random positions of (a); when the search algorithm reaches the maximum iteration times, outputting and constructing characteristic image data/>, of construction operationMatched construction operation construction hazard characteristic image data/>Otherwise, continuing iteration until the maximum iteration times are met;
s524, constructing the construction dangerous feature image data according to the construction operation output in the S523 step Identifying dangerous characteristics of a construction operation site and generating dangerous characteristic data/>, of the construction operation site；
S6, searching the dangerous feature grade data of the construction operation site and the dangerous feature grade data of the construction operation site for dangerous feature grade corresponding to the dangerous feature according to the dangerous feature keywords, and analyzing and generating the dangerous feature grade data of the construction operation site;
The step S6 comprises the following steps:
s61, establishing a construction operation dangerous feature grade data set Wherein/>The construction operation dangerous feature data which indicates that the construction operation dangerous feature level is corresponding to the first level; said/>The corresponding construction operation dangerous characteristic data comprise at least one of foot treading and hollowing of construction personnel construction operation at any time, falling object injury or construction equipment injury of construction personnel construction operation at any time, electric shock of construction personnel construction operation at any time and burning or explosion of inflammable and explosive objects on construction operation site at any time;
Construction operation dangerous feature data corresponding to the second level is represented by the construction operation dangerous feature level; said/> The corresponding construction operation dangerous characteristic data comprise at least one of the fact that constructors do not wear protective articles, safety marks are lack on construction sites, illegal electricity consumption on the construction sites and combustible and explosive objects on the construction sites are not protected according to regulations;
Construction operation dangerous feature data corresponding to a third construction operation dangerous feature level is represented; said/> The corresponding construction operation dangerous characteristic data comprises at least one of playing alarm by constructors, not setting the construction equipment, randomly stacking the construction wastes and not classifying the construction wastes according to the regulations;
S62, adopting XGBoost algorithm to store the dangerous feature data of the construction operation site according to the dangerous feature keywords And construction operation dangerous characteristic grade data set/>Dangerous characteristic grade data/>To the point ofDangerous feature grade search of construction operation dangerous features is carried out, and construction operation site dangerous feature data/> isanalyzedIs used for generating dangerous characteristic grade data/>；
S7, searching and matching the construction site dangerous feature grade data and the construction site dangerous feature grade and alarm disposal mode data according to the dangerous feature grade keywords to obtain an alarm disposal mode corresponding to the dangerous feature grade, analyzing and generating construction site dangerous feature alarm disposal mode data and executing construction site dangerous alarm disposal operation;
The step S7 comprises the following steps:
s71, establishing a construction operation dangerous feature level and an alarm disposal mode data set Wherein/>Data representing the level of risk characteristics of construction work/>The corresponding alarm disposal mode is to execute the construction operation construction dangerous feature image data/>Dangerous characteristic data/>, of the construction operation siteDangerous characteristic grade data/>, of the construction operation sitePushing the construction operation monitoring center to a construction operation monitoring center through a mobile Internet of things communication network, wherein the construction operation monitoring center alarms through a loudspeaker to prompt constructors and starts emergency instructions to execute emergency rescue operation on the constructors;
data representing the level of risk characteristics of construction work/> The corresponding alarm disposal mode is to execute the construction operation construction dangerous feature image data/>Dangerous characteristic data/>, of the construction operation siteDangerous characteristic grade data/>, of the construction operation sitePushing the construction dangerous feature image data to a construction operation monitoring center through a mobile Internet of things communication network, wherein the construction operation monitoring center carries out construction operation on the construction dangerous feature image data/>Dangerous characteristic data/>, of the construction operation siteDangerous characteristic grade data/>, of the construction operation sitePushing feedback to construction operation site supervisory personnel through a mobile Internet of things communication network, and giving an alarm to prompt the supervisory personnel to execute potential safety hazard correction operation;
data representing the level of risk characteristics of construction work/> The corresponding alarm disposal mode is to execute the construction operation construction dangerous feature image data/>Dangerous characteristic data/>, of the construction operation siteDangerous characteristic grade data/>, of the construction operation sitePushing the construction dangerous feature image data to a construction operation monitoring center through a mobile Internet of things communication network, wherein the construction operation monitoring center carries out construction operation on the construction dangerous feature image data/>Dangerous characteristic data/>, of the construction operation siteDangerous characteristic grade data/>, of the construction operation sitePushing feedback to construction operation site supervisory personnel through a mobile Internet of things communication network, and giving an alarm to prompt the supervisory personnel to carry out construction safety education on specific construction personnel;
s72, adopting XGBoost algorithm in S62 to make the construction operation site dangerous feature grade data Dangerous feature level and alarm disposal mode data set/>, of construction operationThe construction operation dangerous feature level and the alarm disposal mode data are searched and matched according to the dangerous feature level keyword to obtain the construction operation site dangerous feature data/>Corresponding alarm disposal mode and generating construction operation dangerous feature alarm disposal mode data/>；
S73, alarming and disposing mode data according to construction operation dangerous characteristicsAnd executing construction operation danger alarming and disposal operation on constructors.
2. The construction site construction operation monitoring and alarming method based on the internet of things according to claim 1, wherein the method comprises the following steps: the step S1 comprises the following steps:
S11, carrying out three-dimensional space scanning on a construction site through a laser three-dimensional scanner carried by an unmanned aerial vehicle and generating three-dimensional space model feature data of the construction site ；
S12, performing three-dimensional space model feature data on the construction siteWith side length/>Space model grid division is carried out on the cube space model grid blocks, and three-dimensional space model grid characteristic data/>, on construction sites, of the construction sites are generatedSide length/>, of the spatial model grid blockThe smaller the numerical value of the space model is, the denser the grid division of the three-dimensional space model of the construction site is, and the side length/>, of the space model grid block isThe larger the value of (2) is, the thinner the grid division of the three-dimensional space model of the construction site is.
3. The construction site construction operation monitoring and alarming method based on the internet of things according to claim 2, wherein the method comprises the following steps: the step S2 comprises the following steps:
s21, establishing a space rectangular coordinate system by taking the bottom surface of the three-dimensional space model of the construction site as a base surface, and orderly acquiring grid characteristic data of the three-dimensional space model of the construction site Coordinates of a central point of each cube space model grid block, and establishing a three-dimensional space model grid central coordinate set/>, of a construction site，; Wherein/>Represents the/>Grid center coordinates of three-dimensional space models of the construction sites; /(I)Representing the abscissa of the grid center coordinate of the three-dimensional space model of the construction site in a space rectangular coordinate system; /(I)Representing the ordinate of the grid center coordinate of the three-dimensional space model of the construction site in a space rectangular coordinate system; /(I)Representing the vertical coordinate of the grid center coordinate of the three-dimensional space model of the construction site in a space rectangular coordinate system; /(I)Representing the maximum value of the grid center coordinate number of the three-dimensional space model of the construction site;
S22, collecting the central coordinates of the grid of the three-dimensional space model of the construction site Grid center coordinates/>, of three-dimensional space model of middle construction siteAccording to the number/>Sequentially ordered series construction to generate construction site monitoring operation path data/>。
4. The construction site construction operation monitoring and alarming method based on the internet of things according to claim 3, wherein the method comprises the following steps of: the step S3 comprises the following steps:
s31, when the monitoring equipment monitors the operation path data according to the construction site When construction operation monitoring is executed, the distance between the monitoring equipment and a construction site object in the process of executing construction operation monitoring is acquired through the ultrasonic distance meter, and distance data/>, between the monitoring equipment and the construction site object, is generatedThe monitoring equipment represents that the unmanned aerial vehicle carries a shooting lens;
s32, establishing a monitoring operation safety distance threshold The monitoring operation safety distance threshold value represents the minimum value of the safety distance between the monitoring equipment and the object at the construction site;
s33, executing obstacle avoidance judgment operation in the construction operation monitoring process of the monitoring equipment; when (when) ≥/>If the monitoring equipment does not collide with the object on the construction site in the moving process, judging that the output monitoring equipment continues to move along the original direction to execute the monitoring operation; when/>﹤/>And judging that the movement direction of the output monitoring equipment is adjusted to move to execute the monitoring operation when the movement process of the monitoring equipment collides with an object on the construction site.
5. The construction site construction operation monitoring and alarming method based on the internet of things according to claim 4, wherein the method comprises the following steps: the step S4 comprises the following steps:
S41, when the monitoring equipment executes construction operation monitoring and obstacle avoidance judging operations, real-time online shooting of construction characteristic images of a construction operation site is carried out through the unmanned aerial vehicle carried shooting lens, and a construction operation construction characteristic image data set is generated ，/>; Wherein/>Represents the/>Construction characteristic image data of construction work,/>The maximum value of the number of construction characteristic image data representing the construction work.
6. A system for implementing the construction site construction operation monitoring and alarming method based on the internet of things according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410263378.4A CN117854047B (en) | 2024-03-08 | 2024-03-08 | Construction site construction operation monitoring and alarming system and method based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410263378.4A CN117854047B (en) | 2024-03-08 | 2024-03-08 | Construction site construction operation monitoring and alarming system and method based on Internet of things |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117854047A CN117854047A (en) | 2024-04-09 |
| CN117854047B true CN117854047B (en) | 2024-05-31 |
Family
ID=90530656
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410263378.4A Active CN117854047B (en) | 2024-03-08 | 2024-03-08 | Construction site construction operation monitoring and alarming system and method based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117854047B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114003771A (en) * | 2021-09-17 | 2022-02-01 | 中通服和信科技有限公司 | Special operation field abnormity early warning analysis system and method based on Internet of things |
| CN114943326A (en) * | 2022-06-13 | 2022-08-26 | 西安交通大学 | FHN model based on inversion equation and wolf algorithm and parameter optimization method |
| CN116647651A (en) * | 2023-07-25 | 2023-08-25 | 西安迈远科技有限公司 | Unmanned aerial vehicle construction monitoring method and system based on Beidou satellite |
| CN117493991A (en) * | 2023-12-29 | 2024-02-02 | 沈阳顺义科技有限公司 | Engine state evaluation method based on KPCA-SCSO-SVM |
| CN117557201A (en) * | 2024-01-12 | 2024-02-13 | 国网山东省电力公司菏泽供电公司 | Intelligent warehouse safety management system and method based on artificial intelligence |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9995568B2 (en) * | 2015-10-06 | 2018-06-12 | Mark E. Sanders | Construction site monitoring system |
-
2024
- 2024-03-08 CN CN202410263378.4A patent/CN117854047B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114003771A (en) * | 2021-09-17 | 2022-02-01 | 中通服和信科技有限公司 | Special operation field abnormity early warning analysis system and method based on Internet of things |
| CN114943326A (en) * | 2022-06-13 | 2022-08-26 | 西安交通大学 | FHN model based on inversion equation and wolf algorithm and parameter optimization method |
| CN116647651A (en) * | 2023-07-25 | 2023-08-25 | 西安迈远科技有限公司 | Unmanned aerial vehicle construction monitoring method and system based on Beidou satellite |
| CN117493991A (en) * | 2023-12-29 | 2024-02-02 | 沈阳顺义科技有限公司 | Engine state evaluation method based on KPCA-SCSO-SVM |
| CN117557201A (en) * | 2024-01-12 | 2024-02-13 | 国网山东省电力公司菏泽供电公司 | Intelligent warehouse safety management system and method based on artificial intelligence |
Non-Patent Citations (2)
| Title |
|---|
| Research on the Optimization and Application of Intelligent Data Acquisition and Alarm System Based on Internet of Things;Zheng, F等;《Journal of Physics: Conference Series》;20210101;全文 * |
| 基于物联网技术的智能安全监控建筑信息模型;柏彬;陈勇;杜长青;茅鑫同;韩超;李东鑫;黄云天;郑兴;王磊磊;;工业建筑;20200420(04);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117854047A (en) | 2024-04-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110321853A (en) | Distribution cable external force damage prevention system based on video intelligent detection | |
| CN112785798B (en) | Behavior analysis method for constructors of power substation engineering construction project | |
| US20170045337A1 (en) | Smart wearable mine detector | |
| US20200109963A1 (en) | Selectively Forgoing Actions Based on Fullness Level of Containers | |
| CN107063095A (en) | A kind of warning system for real time monitoring of existing building building structure fracture width change and recognition methods | |
| CN106341661B (en) | Patrol robot | |
| CN106530633A (en) | Intelligent in-event disposal-based security protection method and system | |
| CN113706355A (en) | Method for building intelligent emergency system of chemical industry park | |
| CN108284427A (en) | Security robot and its automatic detecting method | |
| KR101630531B1 (en) | System for integrated safety management of radioisotope and radiation workers | |
| CN110745704A (en) | Tower crane early warning method and device | |
| US20210056492A1 (en) | Providing information based on detection of actions that are undesired to waste collection workers | |
| CN111754714A (en) | Security monitoring system and monitoring method thereof | |
| CN116882722B (en) | Intelligent building site management method and system based on Internet of things | |
| KR102585393B1 (en) | Smart safe construction system for surface treatment, repair work mortar and painting of confined space | |
| CN114548590B (en) | Internet of things-based engineering finishing intelligent management platform and method | |
| CN113206978A (en) | Security intelligent monitoring early warning system and method for oil and gas pipeline station | |
| CN105788123A (en) | Method for dynamically monitoring deforestation on real-time basis and system therefor | |
| CN110631682A (en) | Strain safety monitoring method for cable tunnel bearing body | |
| CN117854047B (en) | Construction site construction operation monitoring and alarming system and method based on Internet of things | |
| CN116486542A (en) | Early warning method and device based on electronic fence and electronic equipment | |
| CN117636169A (en) | Forest patrol method and system | |
| De Venâncio et al. | Fire detection based on a two-dimensional convolutional neural network and temporal analysis | |
| CN117671887A (en) | Intelligent security early warning management method and system based on big data | |
| CN113435753A (en) | Enterprise risk judgment method, device, equipment and medium in high-risk industry |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |