CN112378445A - Building construction environment intelligence real-time monitoring system based on big data analysis - Google Patents
Building construction environment intelligence real-time monitoring system based on big data analysis Download PDFInfo
- Publication number
- CN112378445A CN112378445A CN202011254857.8A CN202011254857A CN112378445A CN 112378445 A CN112378445 A CN 112378445A CN 202011254857 A CN202011254857 A CN 202011254857A CN 112378445 A CN112378445 A CN 112378445A
- Authority
- CN
- China
- Prior art keywords
- building construction
- noise
- construction room
- detection
- harmful gas
- 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.)
- Withdrawn
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Abstract
The invention discloses a building construction environment intelligent real-time monitoring system based on big data analysis, which comprises an area division module, a noise detection module, a harmful gas detection module, an environmental parameter detection module, a database, a data preprocessing module, a modeling analysis server and a display terminal. According to the invention, the harmful gas detection module, the environmental parameter detection module, the noise detection module and the data preprocessing module are combined with the modeling analysis server to evaluate the environmental pollution degree in the building construction room so as to analyze the comprehensive environmental influence coefficient in the building construction room, visually display the current environmental pollution condition in the building construction room, realize the quantitative display of the indoor environment, facilitate the construction personnel to reasonably arrange the construction links, protect the health of the construction personnel, and simultaneously, the automatic real-time monitoring can be carried out, so that the detection efficiency and the accuracy of the construction environment are improved, and the development of the construction process is promoted.
Description
Technical Field
The invention belongs to the technical field of building construction environment monitoring, and relates to a building construction environment intelligent real-time monitoring system based on big data analysis.
Background
Because of the reasons such as extensive management, lack of environmental awareness of construction operating personnel in the indoor construction process of building construction at present, cause the construction operation in-process at present, cause certain influence to the indoor environment of building construction, secondly, the constructor is in the indoor operation under environment such as dust, high temperature for a long time, causes the health damage easily. Most of the existing solutions are to judge the conditions of dust concentration, temperature and the like in the construction process by experience, when most of safety accidents happen, the hazard sources reach extreme values within a period of time, and constructors cannot accurately identify and judge the hazard sources before the accidents happen only by working experience, and determine whether to evacuate from a dangerous site or not according to the hazard degree of the hazard sources. Although some building construction rooms are equipped with environment monitoring equipment, the detection content cannot meet the requirement of real-time online continuous monitoring and cannot acquire environmental parameters in the construction rooms timely and comprehensively by means of extensive trial monitoring of constructors, so that the monitoring efficiency is low, and specific measures cannot be taken for the indoor environment pollution condition of the building construction.
Disclosure of Invention
Aiming at the problems, the invention provides a building construction environment intelligent real-time monitoring system based on big data analysis, which evaluates the environmental pollution degree in a building construction room through a harmful gas detection module, an environmental parameter detection module, a noise detection module and a data preprocessing module in combination with a modeling analysis server so as to analyze the environmental comprehensive influence coefficient in the building construction room, and solves the problems that the prior art cannot carry out real-time monitoring on the construction environment, the detection efficiency of the environment is low, the accuracy is poor and the workload is large.
The purpose of the invention can be realized by the following technical scheme:
an intelligent real-time monitoring system for building construction environment based on big data analysis comprises an area division module, a noise detection module, a harmful gas detection module, an environmental parameter detection module, a database, a data preprocessing module, a modeling analysis server and a display terminal;
the area division module is respectively connected with the environment parameter detection module, the harmful gas detection module and the noise detection module, the data preprocessing module is respectively connected with the environment parameter detection module, the harmful gas detection module, the noise detection module and the modeling analysis server, the database is respectively connected with the data preprocessing module and the modeling analysis server, and the display terminal is connected with the modeling analysis server;
the area division module is used for carrying out area division on an area to be detected in a building construction room, and dividing the area to be detected into a plurality of detection space sub-areas which are the same in volume and are mutually connected by adopting a space three-dimensional grid division mode, and the division steps are as follows:
s1: establishing a space rectangular coordinate system by taking the position of any corner in a building construction room as an origin, taking the length of an indoor room as an X axis, taking the width of the indoor room as a Y axis, and taking the height of the indoor room as a Z axis;
s2: acquiring the length, width and height of a building construction room;
s3: uniformly dividing the length, the width and the height of a building construction room into equal parts respectively, wherein each divided section of length, width and height forms a detection space sub-region, further dividing a to-be-detected region in the building construction room into a plurality of detection space sub-regions, and numbering the divided detection space sub-regions according to a preset sequence, wherein the divided detection space sub-regions are sequentially marked as 1,2,. once, m,. once, n;
the noise detection module comprises a decibel detector and a data preprocessing module, wherein the decibel detector is used for detecting the noise decibel of each detection space subregion in the building construction room in real time and sending the detected noise decibel of each detection space subregion in the building construction room to the data preprocessing module;
the environment parameter detection module comprises an environment detection unit, a data preprocessing module and a data processing module, wherein the environment detection unit is used for detecting the environment parameters of all detection space sub-areas in the building construction room in real time and sending the air temperature, the air humidity, the air speed and the dust concentration in the environment parameters of all the detection space sub-areas in the building construction room to the data preprocessing module;
the harmful gas detection module comprises a gas detector and a data preprocessing module, wherein the gas detector is used for detecting the types and the corresponding concentrations of the harmful gases in all detection space sub-areas in the building construction room in real time and sending the types and the corresponding concentrations of the harmful gases in all detection space sub-areas in the building construction room to the data preprocessing module;
the data preprocessing module is used for receiving the noise decibels of all the detection space sub-regions in the building construction room sent by the noise detection module, receiving the air humidity, the air speed and the dust concentration of all the detection space sub-regions in the building construction room sent by the environment parameter detection module, and receiving the harmful gas of all the detection space sub-regions in the building construction room sent by the harmful gas detection moduleCounting the received noise decibels of each detection space subregion in the building construction room according to the type and the corresponding concentration of the gas to form a noise decibel set T (T1, T2, Tw(sw1,sw2,...,swm,...,swn)，swm represents a parameter value corresponding to the w-th environmental parameter in the m-th detection space subregion in the building construction room, w represents an environmental parameter, w is p1, p2, p3, p4, p1, p2, p3 and p4 represent air humidity, air temperature, wind speed and dust concentration in the environmental parameter respectively, the harmful gas species and the corresponding concentrations of the detection space subregions in the building construction room are counted to form a harmful gas species concentration set Rj(rj1,rj2,...,rjm,...,rjn)，rjm represents a concentration value corresponding to the jth harmful gas species in m detection space subareas in the building construction room, j represents a harmful gas species, and j is k1, k2, k3, k4, k1, k2, k3 and k4 represent formaldehyde, benzene, ammonia and radon in the harmful gas species respectively;
the data preprocessing module extracts decibel thresholds corresponding to all levels of noise stored in the database, calculates the average value of the noise decibels in each detection space subregion in the building construction room in the noise decibel set to obtain the average value of the noise decibels in the building construction room, compares the average value of the noise decibels with the noise decibel threshold corresponding to all levels of noise, and if the average value of the noise decibels is smaller than the noise decibel threshold corresponding to one level of noise, the decibel level of the noise in the construction room is first grade, if the average decibel value is larger than the decibel threshold value corresponding to the first grade noise and smaller than the decibel threshold value corresponding to the second grade noise, the decibel level of the noise in the construction room is second grade, if the average decibel value of the noise is larger than the decibel threshold value of the noise corresponding to the second grade, the noise decibel level in the building construction room is three-level, and the noise decibel level in the building construction room is sent to a modeling analysis server;
the data preprocessing module compares the environmental parameters of all detection subregions in the environmental parameter set with the standard environmental parameters stored in the database to obtain an environmental parameter comparison set delta Sw(Δsw1,Δsw2,...,Δswm,...,Δswn)，Δswm is expressed as the difference value between the parameter value corresponding to the w-th environmental parameter of the m-th detection space subregion in the building construction room and the standard value corresponding to the w-th environmental parameter, the harmful gas species concentration in each detection subregion in the harmful gas species concentration set is compared with the standard harmful gas species concentration stored in the database, and a harmful gas species concentration comparison set R is obtainedj(rj1,rj2,...,rjm,...,rjn)，Δrjm represents a difference value between a concentration value corresponding to jth harmful gas in the mth detection space subregion in the building construction room and a standard value corresponding to the jth harmful gas, and sends an obtained environmental parameter comparison set and a harmful gas type concentration comparison set to a modeling analysis server;
the database is used for storing the length, width and height of a building construction room, storing noise decibel threshold values corresponding to noise of each level, storing noise decibel influence coefficients corresponding to noise decibel levels, storing standard environmental parameters and storing standard harmful gas type concentration;
the modeling analysis server is used for receiving the noise decibel level, the environmental parameter comparison set and the harmful gas type concentration comparison set in the building construction room sent by the data preprocessing module, extracting the length, the width and the height of the building construction room stored in the database, extracting each noise decibel influence coefficient corresponding to each noise decibel level in the database, comparing the noise decibel level in the building construction room with each noise decibel influence coefficient corresponding to each noise decibel level, screening to obtain the noise decibel influence coefficient corresponding to the noise decibel level in the building construction room, counting the environmental comprehensive influence coefficient in the building construction room according to the noise decibel influence coefficient corresponding to the length, the width, the height and the noise decibel level, the environmental parameter comparison set and the harmful gas type concentration comparison set in the building construction room, and comparing the noise decibel level, the environmental parameter comparison set and the harmful gas type concentration comparison set, The environment parameter comparison set, the harmful gas type concentration comparison set and the environment comprehensive influence coefficient are sent to a display terminal;
and the display terminal is used for receiving and displaying the noise decibel level, the environment parameter comparison set, the harmful gas type concentration comparison set and the environment comprehensive influence coefficient which are sent by the modeling analysis server.
Furthermore, the environment parameter detection unit comprises a temperature detection unit, a humidity detection unit, a wind speed detection unit and a dust concentration detection unit, wherein the temperature detection unit is a temperature sensor and is installed in the building construction room and used for detecting the air temperature of each detection subarea in the building construction room in real time, the humidity detection unit is a humidity sensor and is used for detecting the air humidity of each detection subarea in the building construction room in real time, the wind speed detection unit is a wind speed determinator and is used for detecting the wind speed of each detection subarea in the building construction room in real time, and the dust concentration detection unit is a dust concentration detector and is used for detecting the dust concentration of each detection subarea in the building construction room in real time.
Furthermore, the noise decibel influence coefficients corresponding to the noise decibel levels are in the order of xi 1 < xi 2 < xi 3.
Further, the standard environmental parameters comprise standard air temperature, air humidity, wind speed and dust concentration, and the standard harmful gas species concentration comprises standard formaldehyde concentration, benzene concentration, ammonia concentration and radon concentration.
Further, the calculation formula of the indoor noise decibel average value of the building construction is
And tm represents the noise decibel corresponding to the mth detection space subregion in the building construction room.
Further, the environmental comprehensive influence coefficient is calculated by the formula
λDExpressed as the Dth decibel level of noiseCorresponding noise decibel coefficient of influence, D ═ 1,2,3, L1,L2,L3Respectively expressed as length, width and height of the building construction room, deltaswm is expressed as the difference value between the parameter value corresponding to the w-th environmental parameter of the m-th detection space subregion in the building construction room and the standard value corresponding to the w-th environmental parameter, swm is a parameter value, delta r, corresponding to the w-th environmental parameter of the m-th detection space subregion in the building construction roomjm is the difference between the concentration value corresponding to the jth harmful gas in the mth detection space subarea in the building construction room and the standard value corresponding to the jth harmful gas, rjAnd m represents a concentration value corresponding to jth harmful gas in the mth detection space subarea in the building construction room.
Further, the larger the comprehensive environmental influence coefficient is, the more serious the indoor environmental pollution condition of the building construction is, the smaller the comprehensive environmental influence coefficient is, the safer the indoor environmental pollution condition of the building construction is.
Has the advantages that:
(1) according to the invention, the harmful gas detection module, the environmental parameter detection module, the noise detection module and the data preprocessing module are combined with the modeling analysis server to evaluate the environmental pollution degree in the building construction room so as to analyze the comprehensive environmental influence coefficient in the building construction room, the comprehensive environmental influence coefficient visually shows the current environmental pollution condition in the building construction room, the quantitative display of the indoor environmental pollution condition is realized, the construction links are conveniently and reasonably arranged by constructors, the body health of the constructors is protected, meanwhile, the automatic real-time monitoring can be carried out, the construction environment detection efficiency and accuracy are improved, corresponding measures are conveniently taken, and the development of the construction process is promoted.
(2) According to the invention, a spatial rectangular coordinate system is established in the building construction room in the region division module, the building construction room is divided into a plurality of detection space sub-regions by adopting a spatial grid division mode, and the error phenomenon caused by environment detection by single region detection is avoided by carrying out environment detection on each detection sub-region, so that the detected environmental parameter value in the construction room is closer to a real numerical value, and the accuracy and reliability of the environment detection are improved.
(3) According to the invention, at the display terminal, through visually displaying the comprehensive influence coefficient of the analyzed and processed environment, the constructors can conveniently and directly take corresponding measures through the displayed various monitoring data and evaluation results, the probability of safety accidents on the construction site is greatly reduced, and the health of the constructors is protected.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an intelligent real-time monitoring system for building construction environment based on big data analysis comprises an area division module, a noise detection module, a harmful gas detection module, an environmental parameter detection module, a database, a data preprocessing module, a modeling analysis server and a display terminal;
the area division module is respectively connected with the environment parameter detection module, the harmful gas detection module and the noise detection module, the data preprocessing module is respectively connected with the environment parameter detection module, the harmful gas detection module, the noise detection module and the modeling analysis server, the database is respectively connected with the data preprocessing module and the modeling analysis server, and the display terminal is connected with the modeling analysis server;
the area division module is used for carrying out area division on an area to be detected in a building construction room, and dividing the area to be detected into a plurality of detection space sub-areas which are the same in volume and are mutually connected by adopting a space three-dimensional grid division mode, and the division steps are as follows:
s1: establishing a space rectangular coordinate system by taking the position of any corner in a building construction room as an origin, taking the length of an indoor room as an X axis, taking the width of the indoor room as a Y axis, and taking the height of the indoor room as a Z axis;
s2: acquiring the length, width and height of a building construction room;
s3: uniformly dividing the length, the width and the height of a building construction room into equal parts respectively, wherein each divided section of length, width and height forms a detection space sub-region, further dividing a to-be-detected region in the building construction room into a plurality of detection space sub-regions, and numbering the divided detection space sub-regions according to a preset sequence, wherein the divided detection space sub-regions are sequentially marked as 1,2,. once, m,. once, n;
the embodiment establishes the rectangular space coordinate system in the construction room, adopts the space latticed division mode, divides the construction room into a plurality of detection space sub-regions, and avoids the error phenomenon caused by single region detection to the environment detection by carrying out the environment detection to each detection sub-region, so that the environmental parameter value in the detected construction room is closer to a real numerical value, and the accuracy and the reliability of the environment detection are improved.
The noise detection module comprises a decibel detector and a data preprocessing module, wherein the decibel detector is used for detecting the noise decibel of each detection space subregion in the building construction room in real time and sending the detected noise decibel of each detection space subregion in the building construction room to the data preprocessing module;
the environment parameter detection module comprises an environment detection unit, and is used for detecting environment parameters of all detection space sub-areas in a building construction room in real time, the environment parameter detection unit comprises a temperature detection unit, a humidity detection unit, a wind speed detection unit and a dust concentration detection unit, the temperature detection unit is a temperature sensor and is installed in the building construction room and is used for detecting the air temperature of all detection sub-areas in the building construction room in real time, the humidity detection unit is a humidity sensor and is used for detecting the air humidity of all detection sub-areas in the building construction room in real time, the wind speed detection unit is a wind speed determinator and is used for detecting the wind speed of all detection sub-areas in the building construction room in real time, the dust concentration detection unit is a dust concentration detector and is used for detecting the dust concentration of all detection sub-areas in the building construction room in real time, and the air temperature, the air humidity, the air speed and the dust concentration are sent to a data preprocessing module;
the harmful gas detection module comprises a gas detector and a data preprocessing module, wherein the gas detector is used for detecting the types and the corresponding concentrations of the harmful gases in all detection space sub-areas in the building construction room in real time and sending the types and the corresponding concentrations of the harmful gases in all detection space sub-areas in the building construction room to the data preprocessing module;
the data preprocessing module is used for receiving noise decibels of all detection space subregions in the building construction room sent by the noise detection module, receiving air humidity, wind speed and dust concentration in all detection space subregion environmental parameters in the building construction room sent by the environmental parameter detection module, receiving harmful gas types and corresponding concentrations of all detection space subregion in the building construction room sent by the harmful gas detection module, counting the received noise decibels of all detection space subregion in the building construction room to form a noise decibel set T (T1, T2,w(sw1,sw2,...,swm,...,swn)，swm is a parameter value corresponding to the w-th environmental parameter in the mth detection space subregion in the building construction room, w is an environmental parameter, w is p1, p2, p3, p4, p1, p2, p3 and p4 are respectively expressed as air humidity, air temperature, wind speed and dust concentration in the environmental parameter, and the types and the dust concentrations of harmful gases received from the detection space subregions in the building construction roomCorresponding concentration is counted to form a harmful gas species concentration set Rj(rj1,rj2,...,rjm,...,rjn)，rjm represents a concentration value corresponding to the jth harmful gas species in m detection space subareas in the building construction room, j represents a harmful gas species, and j is k1, k2, k3, k4, k1, k2, k3 and k4 represent formaldehyde, benzene, ammonia and radon in the harmful gas species respectively;
the data preprocessing module extracts decibel thresholds corresponding to all levels of noise stored in the database, average value calculation is carried out on the noise decibels in all detection space sub-regions in the building construction room in the noise decibel set, and the average value calculation formula of the indoor noise decibels in the building construction room is
tm represents noise decibel corresponding to the mth detection space subregion in the building construction room, a noise decibel average value in the building construction room is obtained, the noise decibel average value is compared with noise decibel thresholds corresponding to noise of all levels, if the noise decibel average value is smaller than the noise decibel threshold corresponding to the first level of noise, the noise decibel level in the building construction room is the first level, if the noise decibel average value is larger than the noise decibel threshold corresponding to the first level of noise and is smaller than the noise decibel threshold corresponding to the second level of noise, the noise decibel level in the building construction room is the second level, if the noise decibel average value is larger than the noise decibel threshold corresponding to the second level of noise, the noise decibel level in the building construction room is the third level, and the noise decibel level in the;
the data preprocessing module compares the environmental parameters of all detection sub-areas in the environmental parameter set with the standard air temperature, air humidity, wind speed and dust concentration corresponding to the standard environmental parameters stored in the database to obtain an environmental parameter comparison set delta Sw(Δsw1,Δsw2,...,Δswm,...,Δswn)，Δswm represents the mark of the parameter value corresponding to the w-th environmental parameter of the m-th detection space subregion in the building construction room and the w-th environmental parameterComparing the harmful gas species concentration in each detection subregion in the harmful gas species concentration set with the standard formaldehyde concentration, benzene concentration, ammonia concentration and radon concentration corresponding to the standard harmful gas species stored in the database to obtain a harmful gas species concentration comparison set Rj(rj1,rj2,...,rjm,...,rjn)，Δrjm represents a difference value between a concentration value corresponding to jth harmful gas in the mth detection space subregion in the building construction room and a standard value corresponding to the jth harmful gas, and sends an obtained environmental parameter comparison set and a harmful gas type concentration comparison set to a modeling analysis server;
the database is used for storing the length, the width and the height of a building construction room, storing noise decibel thresholds corresponding to noise of all levels, storing noise decibel influence coefficients corresponding to noise decibel levels in the order of xi 1 to xi 2 to xi 3, storing noise decibel influence coefficients corresponding to noise decibel levels, storing standard environmental parameters including standard air temperature, air humidity, wind speed and dust concentration, and storing standard harmful gas species concentrations including standard formaldehyde concentration, benzene concentration, ammonia concentration and radon concentration;
the modeling analysis server is used for receiving the noise decibel level, the environmental parameter comparison set and the harmful gas type concentration comparison set in the building construction room sent by the data preprocessing module, extracting the length, the width and the height of the building construction room stored in the database, extracting each noise decibel influence coefficient corresponding to each noise decibel level in the database, comparing the noise decibel level in the building construction room with each noise decibel influence coefficient corresponding to each noise decibel level, and screening to obtain the noise decibel influence coefficient corresponding to the noise decibel level in the building construction room, further according to the noise decibel influence coefficient, the environmental parameter comparison set and the harmful gas species concentration comparison set corresponding to the length, width, height and noise decibel level of the building construction room, the comprehensive environmental influence coefficient in the building construction room is counted, and the calculation formula of the comprehensive environmental influence coefficient is shown as follows.
λDExpressed as the noise decibel influence coefficient corresponding to the Dth noise decibel level, D is 1,2,3, L1,L2,L3Respectively expressed as length, width and height of the building construction room, deltaswm is expressed as the difference value between the parameter value corresponding to the w-th environmental parameter of the m-th detection space subregion in the building construction room and the standard value corresponding to the w-th environmental parameter, swm is a parameter value, delta r, corresponding to the w-th environmental parameter of the m-th detection space subregion in the building construction roomjm is the difference between the concentration value corresponding to the jth harmful gas in the mth detection space subarea in the building construction room and the standard value corresponding to the jth harmful gas, rjm represents a concentration value corresponding to the jth harmful gas in the mth detection space subregion in the building construction room, the larger the comprehensive environmental influence coefficient is, the more serious the environmental pollution condition in the building construction room is, the smaller the comprehensive environmental influence coefficient is, the safer the environmental pollution condition in the building construction room is, and the noise decibel level, the environmental parameter comparison set, the harmful gas type concentration comparison set and the comprehensive environmental influence coefficient are sent to a display terminal;
the display terminal is used for receiving the noise decibel level, the environmental parameter comparison set, the harmful gas type concentration comparison set and the environmental comprehensive influence coefficient sent by the modeling analysis server, displaying the noise decibel level, the environmental parameter comparison set, the harmful gas type concentration comparison set and the environmental comprehensive influence coefficient, and directly displaying the analyzed and processed environmental comprehensive influence coefficient, so that the constructor can conveniently take corresponding measures through various displayed monitoring data and evaluation results, the probability of safety accidents on a construction site is greatly reduced, and the physical health of the constructor is protected.
According to the invention, the harmful gas detection module, the environmental parameter detection module, the noise detection module and the data preprocessing module are combined with the modeling analysis server to evaluate the environmental pollution degree in the building construction room so as to analyze the comprehensive environmental influence coefficient in the building construction room, the comprehensive environmental influence coefficient intuitively shows the current environmental pollution condition in the building construction room, the quantitative display of the indoor environment is realized, the construction links are conveniently and reasonably arranged by constructors, the body health of the constructors is protected, meanwhile, the automatic real-time monitoring can be carried out, the construction environment detection efficiency and accuracy are improved, the corresponding measures are conveniently taken, and the development of the construction process is promoted.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (7)
1. The utility model provides a building construction environment intelligence real-time monitoring system based on big data analysis which characterized in that: the system comprises an area division module, a noise detection module, a harmful gas detection module, an environmental parameter detection module, a database, a data preprocessing module, a modeling analysis server and a display terminal;
the area division module is respectively connected with the environment parameter detection module, the harmful gas detection module and the noise detection module, the data preprocessing module is respectively connected with the environment parameter detection module, the harmful gas detection module, the noise detection module and the modeling analysis server, the database is respectively connected with the data preprocessing module and the modeling analysis server, and the display terminal is connected with the modeling analysis server;
the area division module is used for carrying out area division on an area to be detected in a building construction room, and dividing the area to be detected into a plurality of detection space sub-areas which are the same in volume and are mutually connected by adopting a space three-dimensional grid division mode, and the division steps are as follows:
s1: establishing a space rectangular coordinate system by taking the position of any corner in a building construction room as an origin, taking the length of an indoor room as an X axis, taking the width of the indoor room as a Y axis, and taking the height of the indoor room as a Z axis;
s2: acquiring the length, width and height of a building construction room;
s3: uniformly dividing the length, the width and the height of a building construction room into equal parts respectively, wherein each divided section of length, width and height forms a detection space sub-region, further dividing a to-be-detected region in the building construction room into a plurality of detection space sub-regions, and numbering the divided detection space sub-regions according to a preset sequence, wherein the divided detection space sub-regions are sequentially marked as 1,2,. once, m,. once, n;
the noise detection module comprises a decibel detector and a data preprocessing module, wherein the decibel detector is used for detecting the noise decibel of each detection space subregion in the building construction room in real time and sending the detected noise decibel of each detection space subregion in the building construction room to the data preprocessing module;
the environment parameter detection module comprises an environment detection unit, a data preprocessing module and a data processing module, wherein the environment detection unit is used for detecting the environment parameters of all detection space sub-areas in the building construction room in real time and sending the air temperature, the air humidity, the air speed and the dust concentration in the environment parameters of all the detection space sub-areas in the building construction room to the data preprocessing module;
the harmful gas detection module comprises a gas detector and a data preprocessing module, wherein the gas detector is used for detecting the types and the corresponding concentrations of the harmful gases in all detection space sub-areas in the building construction room in real time and sending the types and the corresponding concentrations of the harmful gases in all detection space sub-areas in the building construction room to the data preprocessing module;
the data preprocessing module is used for receiving noise decibels of all detection space subregions in the building construction room sent by the noise detection module, receiving air humidity, wind speed and dust concentration in all detection space subregion environmental parameters in the building construction room sent by the environmental parameter detection module, receiving harmful gas types and corresponding concentrations of all detection space subregion in the building construction room sent by the harmful gas detection module, counting the received noise decibels of all detection space subregion in the building construction room to form a noise decibel set T (T1, T2,w(sw1,sw2,...,swm,...,swn)，swm is expressed as the m-th detection space subregion in the building construction roomThe method comprises the steps of calculating the types and the corresponding concentrations of harmful gases in each detection space subregion in a received building construction room to form a harmful gas type concentration set R, wherein the w is the environmental parameter, and the w is p1, p2, p3, p4, p1, p2, p3 and p4 are respectively expressed as the air humidity, the air temperature, the air speed and the dust concentration in the environmental parameterj(rj1,rj2,...,rjm,...,rjn)，rjm represents a concentration value corresponding to the jth harmful gas species in m detection space subareas in the building construction room, j represents a harmful gas species, and j is k1, k2, k3, k4, k1, k2, k3 and k4 represent formaldehyde, benzene, ammonia and radon in the harmful gas species respectively;
the data preprocessing module extracts decibel thresholds corresponding to all levels of noise stored in the database, calculates the average value of the noise decibels in each detection space subregion in the building construction room in the noise decibel set to obtain the average value of the noise decibels in the building construction room, compares the average value of the noise decibels with the noise decibel threshold corresponding to all levels of noise, and if the average value of the noise decibels is smaller than the noise decibel threshold corresponding to one level of noise, the decibel level of the noise in the construction room is first grade, if the average decibel value is larger than the decibel threshold value corresponding to the first grade noise and smaller than the decibel threshold value corresponding to the second grade noise, the decibel level of the noise in the construction room is second grade, if the average decibel value of the noise is larger than the decibel threshold value of the noise corresponding to the second grade, the noise decibel level in the building construction room is three-level, and the noise decibel level in the building construction room is sent to a modeling analysis server;
the data preprocessing module compares the environmental parameters of all detection subregions in the environmental parameter set with the standard environmental parameters stored in the database to obtain an environmental parameter comparison set delta Sw(Δsw1,Δsw2,...,Δswm,...,Δswn)，Δswm is expressed as the difference value between the parameter value corresponding to the w-th environmental parameter of the m-th detection space subregion in the building construction room and the standard value corresponding to the w-th environmental parameter, and each detection in the harmful gas species concentration setThe harmful gas species concentration in the subareas is compared with the standard harmful gas species concentration stored in the database to obtain a harmful gas species concentration comparison set Rj(rj1,rj2,...,rjm,...,rjn)，Δrjm represents a difference value between a concentration value corresponding to jth harmful gas in the mth detection space subregion in the building construction room and a standard value corresponding to the jth harmful gas, and sends an obtained environmental parameter comparison set and a harmful gas type concentration comparison set to a modeling analysis server;
the database is used for storing the length, width and height of a building construction room, storing noise decibel threshold values corresponding to noise of each level, storing noise decibel influence coefficients corresponding to noise decibel levels, storing standard environmental parameters and storing standard harmful gas type concentration;
the modeling analysis server is used for receiving the noise decibel level, the environmental parameter comparison set and the harmful gas type concentration comparison set in the building construction room sent by the data preprocessing module, extracting the length, the width and the height of the building construction room stored in the database, extracting each noise decibel influence coefficient corresponding to each noise decibel level in the database, comparing the noise decibel level in the building construction room with each noise decibel influence coefficient corresponding to each noise decibel level, screening to obtain the noise decibel influence coefficient corresponding to the noise decibel level in the building construction room, counting the environmental comprehensive influence coefficient in the building construction room according to the noise decibel influence coefficient corresponding to the length, the width, the height and the noise decibel level, the environmental parameter comparison set and the harmful gas type concentration comparison set in the building construction room, and comparing the noise decibel level, the environmental parameter comparison set and the harmful gas type concentration comparison set, The environment parameter comparison set, the harmful gas type concentration comparison set and the environment comprehensive influence coefficient are sent to a display terminal;
and the display terminal is used for receiving and displaying the noise decibel level, the environment parameter comparison set, the harmful gas type concentration comparison set and the environment comprehensive influence coefficient which are sent by the modeling analysis server.
2. The building construction environment intelligent real-time monitoring system based on big data analysis according to claim 1, characterized in that: the environment parameter detecting unit comprises a temperature detecting unit, a humidity detecting unit, a wind speed detecting unit and a dust concentration detecting unit, wherein the temperature detecting unit is a temperature sensor and is installed in a building construction room and used for detecting the air temperature of each detection subarea in the building construction room in real time, the humidity detecting unit is a humidity sensor and used for detecting the air humidity of each detection subarea in the building construction room in real time, the wind speed detecting unit is a wind speed determinator and is used for detecting the wind speed of each detection subarea in the building construction room in real time, and the dust concentration detecting unit is a dust concentration detector and is used for detecting the dust concentration of each detection subarea in the building construction room in real time.
3. The building construction environment intelligent real-time monitoring system based on big data analysis according to claim 1, characterized in that: the noise decibel influence coefficients corresponding to the noise decibel levels are in the order of xi 1 < xi 2 < xi 3.
4. The building construction environment intelligent real-time monitoring system based on big data analysis according to claim 1, characterized in that: the standard environmental parameters comprise standard air temperature, air humidity, wind speed and dust concentration, and the standard harmful gas species concentration comprises standard formaldehyde concentration, benzene concentration, ammonia concentration and radon concentration.
5. The building construction environment intelligent real-time monitoring system based on big data analysis according to claim 1, characterized in that: the average indoor noise decibel value calculation formula for building construction is
And tm represents the noise decibel corresponding to the mth detection space subregion in the building construction room.
6. The building based on big data analysis according to claim 1Build construction environment intelligence real-time monitoring system, its characterized in that: the environmental comprehensive influence coefficient is calculated by the formula
λDExpressed as the noise decibel influence coefficient corresponding to the Dth noise decibel level, D is 1,2,3, L1,L2,L3Respectively expressed as length, width and height of the building construction room, deltaswm is expressed as the difference value between the parameter value corresponding to the w-th environmental parameter of the m-th detection space subregion in the building construction room and the standard value corresponding to the w-th environmental parameter, swm is a parameter value, delta r, corresponding to the w-th environmental parameter of the m-th detection space subregion in the building construction roomjm is the difference between the concentration value corresponding to the jth harmful gas in the mth detection space subarea in the building construction room and the standard value corresponding to the jth harmful gas, rjAnd m represents a concentration value corresponding to jth harmful gas in the mth detection space subarea in the building construction room.
7. The building construction environment intelligent real-time monitoring system based on big data analysis according to claim 1, characterized in that: the larger the comprehensive influence coefficient of the environment is, the more serious the indoor environmental pollution condition of the building construction is, the smaller the comprehensive influence coefficient of the environment is, and the safer the indoor environmental pollution condition of the building construction is.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011254857.8A CN112378445A (en) | 2020-11-11 | 2020-11-11 | Building construction environment intelligence real-time monitoring system based on big data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011254857.8A CN112378445A (en) | 2020-11-11 | 2020-11-11 | Building construction environment intelligence real-time monitoring system based on big data analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112378445A true CN112378445A (en) | 2021-02-19 |
Family
ID=74582649
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011254857.8A Withdrawn CN112378445A (en) | 2020-11-11 | 2020-11-11 | Building construction environment intelligence real-time monitoring system based on big data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112378445A (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112947645A (en) * | 2021-03-01 | 2021-06-11 | 南京可宇科技有限公司 | Underground engineering construction safety real-time online monitoring cloud platform based on big data analysis and online monitoring method |
| CN113095716A (en) * | 2021-04-29 | 2021-07-09 | 隆升量化(武汉)大数据科技有限公司 | Industrial enterprise safety production environment evaluation management method, system, equipment and computer storage medium |
| CN113154589A (en) * | 2021-04-24 | 2021-07-23 | 冯翠花 | Air purification system based on smart home and purification method thereof |
| CN113177722A (en) * | 2021-05-12 | 2021-07-27 | 武汉鼎备浩科技有限公司 | Intelligent supervision cloud platform for operation safety of construction engineering personnel based on image video real-time monitoring and analyzing technology |
| CN113358825A (en) * | 2021-06-02 | 2021-09-07 | 重庆大学 | Indoor air quality detector with assimilation algorithm |
| CN113628423A (en) * | 2021-08-19 | 2021-11-09 | 安徽钟南人防工程防护设备有限公司 | Harmful gas concentration monitoring and alarming system |
| CN114677036A (en) * | 2022-04-08 | 2022-06-28 | 徐州大成环境科技有限公司 | Building material formaldehyde detection processing method based on artificial intelligence |
| CN114745612A (en) * | 2022-04-15 | 2022-07-12 | 重庆伏特猫科技有限公司 | Intelligent information acquisition device for building construction |
| CN115014439A (en) * | 2022-06-07 | 2022-09-06 | 多彩贵州印象网络传媒股份有限公司 | Industrial park intelligent patrol early warning system based on artificial intelligence |
| CN115389385A (en) * | 2022-09-20 | 2022-11-25 | 复旦大学 | Dust intelligent monitoring and early warning system based on working environment and human occupational health |
| CN115792133A (en) * | 2022-12-23 | 2023-03-14 | 天津新亚精诚科技有限公司 | Fire safety analysis method and system based on combustible gas monitoring |
| CN115984041A (en) * | 2023-02-13 | 2023-04-18 | 广东明驰实业集团有限公司 | Decoration construction inspection system based on data analysis |
| CN116857811A (en) * | 2023-08-23 | 2023-10-10 | 广东度班科技有限公司 | Intelligent noise control method and system for workshop production |
-
2020
- 2020-11-11 CN CN202011254857.8A patent/CN112378445A/en not_active Withdrawn
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112947645B (en) * | 2021-03-01 | 2022-04-22 | 深圳市鹏程安全技术事务有限公司 | Underground engineering construction safety monitoring cloud platform and method based on big data |
| CN112947645A (en) * | 2021-03-01 | 2021-06-11 | 南京可宇科技有限公司 | Underground engineering construction safety real-time online monitoring cloud platform based on big data analysis and online monitoring method |
| CN113154589A (en) * | 2021-04-24 | 2021-07-23 | 冯翠花 | Air purification system based on smart home and purification method thereof |
| CN113154589B (en) * | 2021-04-24 | 2022-06-07 | 山东吉特工业科技股份有限公司 | Air purification system based on smart home and purification method thereof |
| CN113095716A (en) * | 2021-04-29 | 2021-07-09 | 隆升量化(武汉)大数据科技有限公司 | Industrial enterprise safety production environment evaluation management method, system, equipment and computer storage medium |
| CN113177722A (en) * | 2021-05-12 | 2021-07-27 | 武汉鼎备浩科技有限公司 | Intelligent supervision cloud platform for operation safety of construction engineering personnel based on image video real-time monitoring and analyzing technology |
| CN113358825A (en) * | 2021-06-02 | 2021-09-07 | 重庆大学 | Indoor air quality detector with assimilation algorithm |
| CN113628423B (en) * | 2021-08-19 | 2023-01-03 | 安徽钟南人防工程防护设备有限公司 | Harmful gas concentration monitoring and alarming system |
| CN113628423A (en) * | 2021-08-19 | 2021-11-09 | 安徽钟南人防工程防护设备有限公司 | Harmful gas concentration monitoring and alarming system |
| CN114677036A (en) * | 2022-04-08 | 2022-06-28 | 徐州大成环境科技有限公司 | Building material formaldehyde detection processing method based on artificial intelligence |
| CN114745612A (en) * | 2022-04-15 | 2022-07-12 | 重庆伏特猫科技有限公司 | Intelligent information acquisition device for building construction |
| CN114745612B (en) * | 2022-04-15 | 2022-10-28 | 重庆伏特猫科技有限公司 | Intelligent information acquisition device for building construction |
| CN115014439A (en) * | 2022-06-07 | 2022-09-06 | 多彩贵州印象网络传媒股份有限公司 | Industrial park intelligent patrol early warning system based on artificial intelligence |
| CN115014439B (en) * | 2022-06-07 | 2023-02-17 | 多彩贵州印象网络传媒股份有限公司 | Industrial park intelligent patrol early warning system based on artificial intelligence |
| CN115389385A (en) * | 2022-09-20 | 2022-11-25 | 复旦大学 | Dust intelligent monitoring and early warning system based on working environment and human occupational health |
| CN115792133A (en) * | 2022-12-23 | 2023-03-14 | 天津新亚精诚科技有限公司 | Fire safety analysis method and system based on combustible gas monitoring |
| CN115792133B (en) * | 2022-12-23 | 2023-11-07 | 天津新亚精诚科技有限公司 | Fire safety analysis method and system based on combustible gas monitoring |
| CN115984041A (en) * | 2023-02-13 | 2023-04-18 | 广东明驰实业集团有限公司 | Decoration construction inspection system based on data analysis |
| CN116857811A (en) * | 2023-08-23 | 2023-10-10 | 广东度班科技有限公司 | Intelligent noise control method and system for workshop production |
| CN116857811B (en) * | 2023-08-23 | 2023-12-15 | 广东度班科技有限公司 | Intelligent noise control method and system for workshop production |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112378445A (en) | Building construction environment intelligence real-time monitoring system based on big data analysis | |
| CN116246407B (en) | Agriculture and forestry area fire early warning supervisory systems based on artificial intelligence | |
| CN112216071A (en) | Intelligent chemical monitoring and early warning platform based on big data | |
| CN109905489B (en) | Multi-sensor data relevance processing method and system based on data fusion algorithm | |
| CN116975378B (en) | Equipment environment monitoring method and system based on big data | |
| CN111967624A (en) | Three-dimensional parking equipment fault evaluation system based on big data | |
| CN114997682B (en) | Construction site safety monitoring system and method based on big data | |
| CN116105802B (en) | Underground facility safety monitoring and early warning method based on Internet of things | |
| CN112802560A (en) | Information processing method and system based on cloud computing | |
| CN115326661B (en) | Atmospheric environment-based monitoring method and system and readable storage medium | |
| CN112330184A (en) | Construction risk prediction method, device, equipment and medium | |
| CN117032004A (en) | Industrial production automatic control platform based on Internet of things | |
| CN113655189A (en) | Automatic monitoring data analysis and judgment system for pollution source | |
| CN116627079A (en) | Operation monitoring management system for laboratory ventilation equipment | |
| CN114023399A (en) | Air particulate matter analysis early warning method and device based on artificial intelligence | |
| CN105632114A (en) | Monitoring measurement point safety state monitoring method based on GIS technology | |
| CN117078072A (en) | Multi-dimensional environment data supervision method and supervision system | |
| CN111505064A (en) | Catalytic combustion type methane sensor service state evaluation method | |
| CN106682742B (en) | Real-time data acquisition and analysis method based on Internet of things technology | |
| CN116402369A (en) | Smart city traffic operation safety monitoring data evaluation system and method | |
| CN112016206A (en) | Method and system for judging instability state of tower, computer equipment and application | |
| CN113359651B (en) | Digital intelligent manufacturing industrial workshop production safety real-time online monitoring cloud platform | |
| CN115325675A (en) | Fresh air control system and method for automatically adjusting indoor air environment | |
| JPH06117600A (en) | System for estimating leakage point and leakage volume of gas, steam or the like | |
| CN114021864A (en) | Method for identifying major risks and evaluating real-time dynamic risks of ammonia-related refrigeration enterprises |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210219 |