CN111539630B - Building engineering construction operation environment intelligent monitoring system based on big data - Google Patents
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Abstract
The invention discloses an intelligent monitoring system for construction work environment based on big data, which comprises a data acquisition module, a data preprocessing module, a dust fall coefficient analysis module, a data input module, a noise analysis module, a management database, a central server, a regulation and control module, an early warning module and a display terminal, wherein the data acquisition module is used for acquiring data; according to the intelligent monitoring system for the construction work environment based on the big data, dust data collection and processing in vertical spatial distribution and noise data collection and processing in circumferential horizontal spatial distribution are respectively adopted in the construction work site, the dust fall coefficient and the noise proportion coefficient of the construction work site are analyzed, water spraying dust fall and noise early warning are carried out, the accuracy of collecting the dust concentration and the noise volume of the construction work site is improved, the construction work site environment is optimized, and the health of construction workers is protected.
Description
Technical Field
The invention relates to the technical field of industrial environment monitoring, in particular to an intelligent monitoring system for construction work environment of building engineering based on big data.
Background
Along with the increasingly accelerated urban modern construction in recent years, more and more construction projects are provided, and a large number of construction sites are appeared, so that the problem of environmental pollution is also brought, wherein the largest pollution source is dust and noise. The large amount of dust generated in the construction site not only deteriorates the air quality of the construction site, but also harms the surrounding environment, and moreover, a large amount of substances harmful to human bodies exist in the dust, which can affect the health of urban residents, so that the monitoring and the improvement of the dust generated in the construction site are very necessary; in addition, the noise of the construction site also seriously affects the health and living environment of people, so the quality monitoring of the environment of the construction site is very important.
The traditional monitoring of building construction operation site dust is only to install a dust sensor on a construction operation site, the dust falling method is that monitoring and hydraulic dust falling are combined, when the dust concentration exceeds a certain limit, a system automatically sprays water to quickly control the dust flying in a construction area, and the method does not consider the influence of the construction operation height, air humidity and wind speed on the dust concentration, so that the waste of water resources is easily caused. The traditional monitoring to building site noise is only to install a noise sensor at a construction operation site, the influence of different distances from the construction operation site on the noise is not considered, early warning is carried out when the noise exceeds a standard value, the early warning is only simple, and a targeted early warning measure cannot be taken according to the size of the noise of the construction site.
Disclosure of Invention
The invention aims to provide an industrial environment real-time monitoring system based on big data, which solves the problems in the background technology.
The purpose of the invention can be realized by the following technical scheme:
an intelligent monitoring system for construction work environment of building engineering based on big data comprises a data acquisition module, a data preprocessing module, a dust fall coefficient analysis module, a data input module, a noise analysis module, a management database, a central server, a regulation and control module, an early warning module and a display terminal;
the data preprocessing module is connected with the data acquisition module, the dust fall coefficient analysis module is respectively connected with the data preprocessing module, the management database and the central server, the noise analysis module is respectively connected with the data preprocessing module, the management database, the data input module and the central server, and the central server is respectively connected with the management database, the dust fall coefficient analysis module, the noise analysis module, the regulation and control module, the early warning module and the display terminal;
the data acquisition module comprises a dust concentration sensor, a humidity sensor, a wind speed sensor and a noise sensor and is used for acquiring the dust concentration, the air humidity, the wind speed and the noise volume in the building construction operation environment in real time and sending the acquired data to the data preprocessing module; the dust concentration sensor, the humidity sensor and the wind speed sensor are arranged in a spatial vertical distribution mode, and the noise sensor is arranged in a spatial annular horizontal distribution mode; the dust sensor is used for detecting the dust concentration of each height of the building construction operation site in real time, the humidity sensor is installed on each height of the building construction operation site and used for detecting the air humidity of each height of the building construction operation site in real time, and the wind speed sensor is used for detecting the wind speed of each height of the building construction operation site in real time; the noise sensor is used for detecting the noise volume at different distances from the building construction site in real time;
the data preprocessing module comprises a dust data preprocessing submodule and a noise data preprocessing submodule; the dust data preprocessing submodule is used for receiving the dust concentration, the air humidity and the air speed acquired by the data acquisition module, dividing the received dust concentration, the air humidity and the air speed according to the height of a building construction operation site, and acquiring a dust data set function A under each heightg＝{(ag,1),(ag,2)...,(ag,h),(ag,5)}，agRepresents dust data, wherein
(agH) represents a numerical value corresponding to the dust data at the h-th height, h is 1,2,3,4,5, h represents the building construction operation height, and the dust data preprocessing submodule sends the dust data set of each day to the dust fall coefficient analysis module; the noise data preprocessing submodule is used for receiving the noise volume acquired by the data acquisition module, dividing the received noise volume according to the distance from the data acquisition module to the building construction site, counting the average value of the noise volume at each distance, and acquiring a noise volume set S (S) at each distance1,s2,...,sr,s5)，srThe noise data preprocessing submodule sends the noise volume set of each day to the noise analysis module, wherein the noise volume set is expressed as an average value corresponding to the noise volume at the r-th distance, r is 1,2,3,4,5, and r is expressed as the distance from the building construction site;
the management database stores standard dust concentration values corresponding to all heights of a building construction operation site and water spraying quantities corresponding to different dust fall coefficients, and stores standard noise volumes corresponding to different distances from the building construction site in different time periods and preset noise early warning judgment rules, wherein the time periods are in the conditions of day and night;
the dust fall coefficient analysis module is used for receiving a dust data set at each height of each construction operation site sent by the dust data preprocessing submodule every day and extracting a standard dust concentration set D (D) corresponding to each height of the construction operation site in the management database1,d2,...,dh,d5)，dhA standard dust concentration value expressed as the h-th height is obtained, a dust data set of each height of each construction operation site every day is compared with the standard dust concentration value corresponding to the current height, the dust fall coefficient of each height is counted, and a height section dust fall coefficient set B is obtained (B)1,b2,...,bh,b5)，bhThe dustfall coefficient is expressed as the h-th height, and the dustfall coefficient analysis module sends the dustfall coefficients of all the heights to the central server;
the data input module comprises a photosensitive sensor, a memory and a cloud processor, the photosensitive sensor is used for collecting the illumination intensity of each day, the memory is used for storing the illumination intensity thresholds corresponding to different time periods, the cloud processor extracts the illumination intensity thresholds corresponding to different time periods in the cloud memory according to the illumination intensity of each day collected by the photosensitive sensor, judges whether the time is day or night, and sends the judged result to the noise analysis module;
the noise analysis module is used for receiving the noise volume set every day sent by the noise data preprocessing submodule and the current time period sent by the data input module, extracting the standard noise volume corresponding to the distance from the current time period to the building construction site in the management database, and comparing the noise volume set every day with the standard noise volume corresponding to the distance from the current time period to the building construction site to obtain a noise comparison set delta S (delta S)1,Δs2,...,Δsr,Δs5)，ΔsrExpressed as corresponding to the r-th length segment of the current time segmentCounting a noise proportion coefficient by the difference value of the noise volume and the standard noise volume corresponding to the current length section, and sending the noise proportion coefficient to a central server by a noise analysis module;
the central server is used for receiving each height dust suppression coefficient sent by the dust suppression coefficient analysis module, screening out the water spraying amount corresponding to each dust suppression coefficient in the management database according to each received height dust suppression coefficient, sending the water spraying amount information to the regulation and control module and the display terminal, receiving the water spraying amount fed back by the regulation and control module, and stopping water spraying control once the collected water spraying amount is larger than the statistical water spraying amount data information; meanwhile, the central server receives the noise proportion coefficient sent by the noise analysis module, extracts a noise early warning judgment rule preset in a management database, judges the noise early warning level of a building construction site, if the judged noise early warning level is zero-level early warning, the central server does not send a control instruction to the early warning module, if the judged noise early warning level is I-level early warning, the central server sends an I-level early warning instruction to the early warning module, if the judged noise early warning level is II-level early warning, the central server sends a II-level early warning instruction to the early warning module, if the judged noise early warning level is III-level early warning, the central server sends a III-level early warning control instruction to the early warning module, and meanwhile, the central server sends the noise early warning level control instruction of the building construction operation site to the early warning module and the display terminal;
the regulating and controlling module is used for receiving water spraying amount data information sent by the central server, controlling the water spraying valve to be switched from a closed state to an open state to perform gradient water spraying according to the water spraying amount of each height, collecting the water spraying amount in real time, sending the collected water spraying amount to the central server, receiving a water spraying stopping control instruction sent by the central server, and controlling the water spraying valve to be switched from the open state to the closed state;
the regulation and control module further comprises a plurality of water spraying execution terminals, the water spraying execution terminals are arranged and installed on the building construction site, and each water spraying execution terminal comprises a water inlet pipe, a pipe nozzle, an installation seat, fastening nails and a solar panel; the water inlet of the water inlet pipe is connected with a water source through a water pump, the bottom end of the water inlet pipe is connected with the mounting seat in a threaded fit mode, the top end of the water inlet pipe is provided with a solar panel, water outlets are uniformly arranged at different heights of the water inlet pipe along the axial direction of the water inlet pipe in the circumferential direction, and the pipe nozzle is connected with the water outlet of the water inlet pipe through a water spray valve; the mount pad evenly is provided with the mounting hole along its radial direction, and inside the binding nail passed the mounting hole and inserted the building site soil, the solar panel lower extreme was provided with the base, was connected through threaded connection's mode between base and the inlet tube top, and solar panel's the bracing piece of placing its back of inclination accessible was adjusted.
The early warning module is used for receiving early warning level information sent by the central server and carrying out voice prompt early warning. The noise early warning level judgment rule is defined as follows: when the noise proportionality coefficient is 0 < gamma < xi1When the noise is in the early warning level of 0 level, when the noise proportionality coefficient is in xi1＜λ＜ξ2When the noise is in the early warning level I, the noise proportionality coefficient is in xi2＜γ＜ξ3When the noise is in class II, the noise scale factor is in xi3＜γ＜ξ4The noise early warning level is III, wherein xi1、ξ2、ξ3、ξ4A value preset for the management database;
and the display terminal is used for receiving and displaying the water spraying quantity information and the noise early warning level information of the building construction site, which are sent by the central server and sent by the data acquisition module.
Furthermore, the calculation formula of the dust fall coefficient of the construction operation site is
bhDust fall coefficient expressed as h-th height, (a)gdH) represents the dust concentration at the h-th level, (a)gkH) represents the air humidity at the h-th level, (a)gsH) is expressed as the wind speed at the h-th altitude, dhAnd the standard dust concentration value is expressed as the h-th height, alpha is expressed as a humidity influence weight and takes a value of 0.3, and beta is expressed as a wind speed influence weight and takes a value of 0.7.
Furthermore, the calculation formula of the noise proportionality coefficient of the construction operation site is as follows
Chi is expressed as the noise proportionality coefficient, KDExpressed as the time interval coefficient of day, the value is 0.6, KnExpressed as the time period coefficient at night, the value is 0.4, deltasrExpressed as the difference between the noise volume corresponding to the r-th distance segment from the construction operation site of the building and the standard noise volume corresponding to the current distance segment, srExpressed as the corresponding noise volume at the r-th distance from the construction site, sr standardExpressed as the standard noise volume at the r-th distance from the construction site, the value of e is 2.718.
Has the advantages that:
(1) according to the industrial environment real-time monitoring system based on the big data, dust data collection and processing in spatial vertical distribution and noise data collection and processing in spatial circumferential horizontal distribution are respectively adopted in a building construction site, and the dust fall coefficient and the noise proportion coefficient of the building construction site operation are analyzed to perform dust fall and noise early warning, so that the building construction site environment can be optimized according to the detection result, and the health of building constructors is protected.
(2) According to the building engineering construction work environment intelligent monitoring system based on the big data, the dust concentration is combined to have different distribution characteristics at different heights of construction work, the influence of air humidity and wind speed conditions on the dust concentration of a building construction work place is further combined while data acquisition and monitoring at different heights are achieved, gradient intelligent water spraying can be well achieved according to dust fall coefficients of all the heights through setting of the dust fall coefficients and the regulation and control module, the influence of air quality problems of the building construction work place on the health of constructors is relieved, and meanwhile water resource waste in the traditional dust fall process is avoided.
(3) The building engineering construction operation environment intelligent monitoring system based on big data provided by the invention combines the characteristic that the noise volume is distributed in the circumferential direction of a construction operation place, realizes the acquisition and monitoring in the circumferential direction at different distances, further combines the regulations of two time periods of day and night on the noise threshold value, sets the noise proportion coefficient and the early warning module, sets the early warning level through the classification processing of the noise proportion coefficient, and can adopt the processing measures at different levels through the quantitative early warning level control, thereby avoiding the confusion of personnel.
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 schematic view of the present invention;
fig. 2 is a schematic view of a water spray execution terminal of the regulation module 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 monitoring system for construction work environment based on big data includes a data acquisition module, a data preprocessing module, a dust fall coefficient analysis module, a data input module, a noise analysis module, a management database, a central server, a regulation and control module, an early warning module, and a display terminal.
The data preprocessing module is connected with the data acquisition module, the dust fall coefficient analysis module is respectively connected with the data preprocessing module, the management database and the central server, the noise analysis module is respectively connected with the data preprocessing module, the management database, the data input module and the central server, and the central server is respectively connected with the management database, the dust fall coefficient analysis module, the noise analysis module, the regulation and control module, the early warning module and the display terminal.
The data acquisition module comprises a dust concentration sensor, a humidity sensor, a wind speed sensor and a noise sensor and is used for acquiring the dust concentration, the air humidity, the wind speed and the noise volume in the building construction operation environment in real time and sending the acquired data to the data preprocessing module; the dust concentration sensor, the humidity sensor and the wind speed sensor are arranged in a spatial vertical distribution mode, and the noise sensor is arranged in a spatial annular horizontal distribution mode; the dust sensor is used for detecting the dust concentration of each height of the building construction operation site in real time, the humidity sensor is installed on each height of the building construction operation site and used for detecting the air humidity of each height of the building construction operation site in real time, and the wind speed sensor is used for detecting the wind speed of each height of the building construction operation site in real time; the noise sensor is used for detecting the noise volume at different distances from the building construction site in real time.
The data preprocessing module comprises a dust data preprocessing submodule and a noise data preprocessing submodule; the dust data preprocessing submodule is used for receiving the dust concentration, the air humidity and the air speed acquired by the data acquisition module, dividing the received dust concentration, the air humidity and the air speed according to the height of a building construction operation site, and acquiring a dust data set function A under each heightg＝{(ag,1),(ag,2)...,(ag,h),(ag,5)}，agRepresents dust data, wherein
(agH) represents a numerical value corresponding to the dust data at the h-th height, h is 1,2,3,4,5, h represents the building construction operation height, and the dust data preprocessing submodule sends the dust data set of each day to the dust fall coefficient analysis module; the noise data preprocessing submodule is used for receiving the noise volume acquired by the data acquisition module and processing the received noise volume according to the distance from the building construction siteDividing the distance in a short distance, counting the average value of the noise volume at each distance to obtain a noise volume set S (S) at each distance1,s2,...,sr,s5)，srThe noise data preprocessing submodule sends the noise volume per day to the noise analysis module, wherein the noise volume is expressed as an average value corresponding to the noise volume at the r-th distance, r is 1,2,3,4 and 5, and r is expressed as the distance from the building construction site.
The management database stores standard dust concentration values corresponding to all heights of a building construction operation site and water spraying quantities corresponding to different dust fall coefficients, and stores standard noise volumes corresponding to different distances from the building construction site in different time periods and preset noise early warning judgment rules, wherein the time periods are in the daytime and at night.
The dust fall coefficient analysis module is used for receiving a dust data set at each height of each construction operation site sent by the dust data preprocessing submodule every day and extracting a standard dust concentration set D (D) corresponding to each height of the construction operation site in the management database1,d2,...,dh,d5)，dhA standard dust concentration value expressed as the h-th height is obtained, a dust data set of each height of each construction operation site every day is compared with the standard dust concentration value corresponding to the current height, the dust fall coefficient of each height is counted, and a height section dust fall coefficient set B is obtained (B)1,b2,...,bh,b5)，bhDustfall coefficient expressed as h-th height
bhDust fall coefficient expressed as h-th height, (a)gdH) represents the dust concentration at the h-th level, (a)gkH) represents the air humidity at the h-th level, (a)gsH) is expressed as the wind speed at the h-th altitude, dhAnd the standard dust concentration value expressed as the h-th height, alpha is expressed as a humidity influence weight and takes a value of 0.3, beta is expressed as a wind speed influence weight and takes a value of 0.7, and the dustfall coefficient analysis module sends dustfall coefficients of all the heights to the central server.
The data input module comprises a photosensitive sensor, a storage and a cloud processor, the photosensitive sensor is used for collecting the illumination intensity of each day, the storage is used for storing the illumination intensity threshold values corresponding to different time periods, the cloud processor extracts the illumination intensity threshold values corresponding to different time periods in the cloud storage according to the illumination intensity of each day collected by the photosensitive sensor, whether the illumination intensity threshold values correspond to different time periods in the cloud storage is judged in the daytime or in the evening, and the judged result is sent to the noise analysis module.
The noise analysis module is used for receiving the noise volume set every day sent by the noise data preprocessing submodule and the current time period sent by the data input module, extracting the standard noise volume corresponding to the distance from the current time period to the building construction site in the management database, and comparing the noise volume set every day with the standard noise volume corresponding to the distance from the current time period to the building construction site to obtain a noise comparison set delta S (delta S)1,Δs2,...,Δsr,Δs5)，ΔsrThe noise volume corresponding to the r-th length segment of the current time period is represented as the difference value of the standard noise volume corresponding to the current length segment, and the noise proportionality coefficient is counted
Chi is expressed as the noise proportionality coefficient, KDExpressed as the time interval coefficient of day, the value is 0.6, KnExpressed as the time period coefficient at night, the value is 0.4, deltasrExpressed as the difference between the noise volume corresponding to the r-th distance segment from the construction operation site of the building and the standard noise volume corresponding to the current distance segment, srExpressed as the corresponding noise volume at the r-th distance from the construction site, sr standardAnd the noise analysis module sends the noise proportion coefficient to the central server, and the value of e is 2.718.
The central server is used for receiving each height dust suppression coefficient sent by the dust suppression coefficient analysis module, screening out the water spraying amount corresponding to each dust suppression coefficient in the management database according to each received height dust suppression coefficient, sending the water spraying amount information to the regulation and control module and the display terminal, receiving the water spraying amount fed back by the regulation and control module, and stopping water spraying control once the collected water spraying amount is larger than the statistical water spraying amount data information; meanwhile, the central server receives the noise proportion coefficient sent by the noise analysis module, extracts a noise early warning judgment rule preset in a management database, judges the noise early warning level of a building construction site, if the judged noise early warning level is zero-level early warning, the central server does not send a control instruction to the early warning module, if the judged noise early warning level is I-level early warning, the central server sends an I-level early warning instruction to the early warning module, if the judged noise early warning level is II-level early warning, the central server sends a II-level early warning instruction to the early warning module, if the judged noise early warning level is III-level early warning, the central server sends a III-level early warning control instruction to the early warning module, and meanwhile, the central server sends the noise early warning level control instruction of the building construction operation site to the early warning module and the display terminal.
The regulation and control module is used for receiving water spraying amount data information sent by the central server, controlling the water spraying valve to be switched from a closed state to an open state to perform gradient water spraying according to the water spraying amount of each height, acquiring the water spraying amount in real time, sending the acquired water spraying amount to the central server, receiving a water spraying stopping control instruction sent by the central server, and controlling the water spraying valve to be switched from the open state to the closed state.
The regulation and control module further comprises a plurality of water spray execution terminals, the water spray execution terminals are arranged and installed on a building construction site, and each water spray execution terminal comprises a water inlet pipe a1, a pipe spray head a2, a mounting seat a3, a fastening nail a4 and a solar panel a 5; the water inlet of the water inlet pipe a1 is connected with a water source through a water pump, the bottom end of the water inlet pipe a1 is connected with the mounting seat a3 through a thread fit mode, the top end of the water inlet pipe a1 is provided with a solar panel a5, the water outlets are uniformly arranged on the water inlet pipe a1 along the circumferential direction of different heights of the water inlet pipe a1 in the axial direction, and the pipe nozzle a2 is connected with the water outlet of the water inlet pipe a1 through a water spray; the mounting seat a3 is uniformly provided with mounting holes along the radial direction, the fastening nail a4 penetrates through the mounting holes and is inserted into the ground of a construction site, the lower end of the solar panel a5 is provided with a base, the base is connected with the top end of the water inlet pipe a1 in a threaded connection mode, the placing inclination angle of the solar panel a5 can be adjusted through a supporting rod on the back of the solar panel a, the angle of the solar panel a5 can be adjusted according to the sunning condition of seasons, the solar panel is used for supplying power to a system, the water spraying execution terminal can be fixed on the construction site through the mounting seat a3 and the fastening nail a4, and the mounting holes of the mounting seat a3 in different radial directions can be selected according to; the pipe shower nozzle a2 that co-altitude department circumference set up can carry out corresponding water spray to the density and the condition that the different height of dust distributes, and can implement to receive water spray volume information data and regulate and control in real time, and is swift convenient and the suitability is strong.
The early warning module is used for receiving early warning level information sent by the central server and carrying out voice prompt early warning. The noise early warning level judgment rule is defined as follows: when the noise proportionality coefficient is 0 < gamma < xi1When the noise is in the early warning level of 0 level, when the noise proportionality coefficient is in xi1＜λ＜ξ2When the noise is in the early warning level I, the noise proportionality coefficient is in xi2＜γ＜ξ3When the noise is in class II, the noise scale factor is in xi3＜γ＜ξ4The noise early warning level is III, wherein xi1、ξ2、ξ3、ξ4A value preset for managing the database.
And the display terminal is used for receiving and displaying the water spraying quantity information and the noise early warning level information of the building construction site, which are sent by the central server and sent by the data acquisition module.
According to the invention, dust data acquisition and processing in spatial vertical distribution and noise data acquisition and processing in spatial circumferential horizontal distribution are respectively adopted at the building construction operation site, and the dust fall coefficient and the noise proportionality coefficient of the building construction site operation are analyzed to carry out dust fall and noise early warning, so that the building construction operation site environment can be optimized according to the feedback of the detection result, and the health of building constructors is protected.
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 (5)
1. The utility model provides a building engineering construction operation environment intelligent monitoring system based on big data which characterized in that: the dust suppression system comprises a data acquisition module, a data preprocessing module, a dust suppression coefficient analysis module, a data input module, a noise analysis module, a management database, a central server, a regulation and control module, an early warning module and a display terminal;
the data preprocessing module is connected with the data acquisition module, the dust fall coefficient analysis module is respectively connected with the data preprocessing module, the management database and the central server, the noise analysis module is respectively connected with the data preprocessing module, the management database, the data input module and the central server, and the central server is respectively connected with the management database, the dust fall coefficient analysis module, the noise analysis module, the regulation and control module, the early warning module and the display terminal;
the data acquisition module comprises a dust concentration sensor, a humidity sensor, a wind speed sensor and a noise sensor, and is used for acquiring the dust concentration, the air humidity, the wind speed and the noise volume in the building construction operation environment in real time and sending the acquired data to the data preprocessing module and the display terminal; the dust concentration sensor, the humidity sensor and the wind speed sensor are arranged in a spatial vertical distribution mode, and the noise sensor is arranged in a spatial annular horizontal distribution mode; the dust concentration sensor is used for detecting the dust concentration of each height of the building construction operation site in real time, the humidity sensor is installed on each height of the building construction operation site and used for detecting the air humidity of each height of the building construction operation site in real time, and the wind speed sensor is used for detecting the wind speed of each height of the building construction operation site in real time; the noise sensor is used for detecting the noise volume at different distances from the building construction site in real time;
the data preprocessing module comprises a dust data preprocessing sub-moduleThe module and the noise data preprocessing submodule; the dust data preprocessing submodule is used for receiving the dust concentration, the air humidity and the air speed acquired by the data acquisition module, dividing the received dust concentration, the air humidity and the air speed according to the height of a building construction operation site, and acquiring a dust data set function A under each heightg＝{(ag,1),(ag,2)...,(ag,h),(ag,5)}，agRepresents dust data, wherein
(agH) represents a numerical value corresponding to the dust data at the h-th height, h is 1,2,3,4,5, h represents the building construction operation height, and the dust data preprocessing submodule sends the dust data set of each day to the dust fall coefficient analysis module; the noise data preprocessing submodule is used for receiving the noise volume acquired by the data acquisition module, dividing the received noise volume according to the distance from the data acquisition module to the building construction site, counting the average value of the noise volume at each distance, and acquiring a noise volume set S (S) at each distance1,s2,...,sr,s5)，srThe noise data preprocessing submodule sends the noise volume set of each day to the noise analysis module, wherein the noise volume set is expressed as an average value corresponding to the noise volume at the r-th distance, r is 1,2,3,4,5, and r is expressed as the distance from the building construction site;
the management database stores standard dust concentration values corresponding to all heights of a building construction operation site and water spraying quantities corresponding to different dust fall coefficients, and stores standard noise quantities corresponding to different distances from the building construction site in different time periods and preset noise early warning judgment rules, wherein the time periods are divided into two conditions of day and night;
the dust fall coefficient analysis module is used for receiving a dust data set at each height of the construction job site every day sent by the dust data preprocessing submodule, and extracting a standard dust concentration set D (D) corresponding to each height of the construction job site in the management database1,d2,...,dh,d5)，dhTo representA standard dust concentration value of the h-th height is obtained, a dust data set of each height of each construction operation site every day is compared with the standard dust concentration value corresponding to the current height, the dust fall coefficient of each height is counted, and a height section dust fall coefficient set B (B) is obtained1,b2,...,bh,b5)，bhThe dustfall coefficient is expressed as the h-th height, and the dustfall coefficient analysis module sends the dustfall coefficients of all the heights to the central server;
the data input module comprises a photosensitive sensor, a memory and a cloud processor, the photosensitive sensor is used for collecting the illumination intensity of each day, the memory is used for storing the illumination intensity thresholds corresponding to different time periods, and the cloud processor extracts the illumination intensity thresholds corresponding to different time periods in the memory according to the illumination intensity of each day collected by the photosensitive sensor, judges whether the time period is daytime or nighttime and sends the judged result to the noise analysis module;
the noise analysis module is used for receiving the noise volume set every day sent by the noise data preprocessing submodule and the current time period sent by the data input module, extracting the standard noise volume corresponding to the distance from the current time period to the building construction site in the management database, and comparing the noise volume set every day with the standard noise volume corresponding to the distance from the current time period to the building construction site to obtain a noise comparison set delta S (delta S)1,Δs2,...,Δsr,Δs5)，ΔsrThe noise ratio coefficient is calculated and is represented as the difference value between the noise volume corresponding to the r-th length segment of the current time period and the standard noise volume corresponding to the current length segment, and the noise analysis module sends the noise ratio coefficient to the central server;
the central server is used for receiving each height dust suppression coefficient sent by the dust suppression coefficient analysis module, screening out the water spraying amount corresponding to each dust suppression coefficient in the management database according to each received height dust suppression coefficient, sending the water spraying amount information to the regulation and control module and the display terminal, receiving the water spraying amount fed back by the regulation and control module, and stopping water spraying control once the collected water spraying amount is larger than the statistical water spraying amount data information; meanwhile, the central server receives the noise proportion coefficient sent by the noise analysis module, extracts a noise early warning judgment rule preset in a management database, judges the noise early warning level of a building construction operation site, if the judged noise early warning level is zero-level early warning, the central server does not send a control instruction to the early warning module, if the judged noise early warning level is I-level early warning, the central server sends an I-level early warning instruction to the early warning module, if the judged noise early warning level is II-level early warning, the central server sends a II-level early warning instruction to the early warning module, if the judged noise early warning level is III-level early warning, the central server sends a III-level early warning control instruction to the early warning module, and meanwhile, the central server sends the noise early warning level control instruction of the building construction operation site to the early warning module and the display terminal;
the control module is used for receiving water spraying amount data information sent by the central server, controlling the water spraying valve to be switched from a closed state to an open state, carrying out gradient water spraying according to the water spraying amount of each height, acquiring the water spraying amount in real time, sending the acquired water spraying amount to the central server, receiving a water spraying stopping control instruction sent by the central server, and controlling the water spraying valve to be switched from the open state to the closed state;
the early warning module is used for receiving early warning level information sent by the central server and carrying out voice prompt early warning;
and the display terminal is used for receiving and displaying the concentration values of the dust with different heights sent by the data acquisition module and the water spraying amount information and the noise early warning level information of the building construction site sent by the central server.
2. The building engineering construction work environment intelligent monitoring system based on big data according to claim 1, characterized in that: the calculation formula of the dust fall coefficient of the construction operation site is
bhDust fall coefficient expressed as h-th height, (a)gdH) represents the dust concentration at the h-th level, (a)gkH) air expressed as the h-th altitudeHumidity (a)gsH) is expressed as the wind speed at the h-th altitude, dhAnd the standard dust concentration value is expressed as the h-th height, alpha is expressed as a humidity influence weight and takes a value of 0.3, and beta is expressed as a wind speed influence weight and takes a value of 0.7.
3. The building engineering construction work environment intelligent monitoring system based on big data according to claim 1, characterized in that: the calculation formula of the noise proportion coefficient of the construction operation site is
Chi is expressed as the noise proportionality coefficient, KDExpressed as the time interval coefficient of day, the value is 0.6, KnExpressed as the time period coefficient at night, the value is 0.4, deltasrExpressed as the difference between the noise volume corresponding to the r-th distance segment from the construction operation site of the building and the standard noise volume corresponding to the current distance segment, srExpressed as the corresponding noise volume at the r-th distance from the construction site, sr standardExpressed as the standard noise volume at the distance of the r from the construction job site; the value of e is 2.718.
4. The building engineering construction work environment intelligent monitoring system based on big data according to claim 1, characterized in that: the noise warning level decision rule is defined as follows: when the noise proportionality coefficient is 0 < gamma < xi1When the noise is in the early warning level of 0 level, when the noise proportionality coefficient is in xi1＜λ＜ξ2When the noise is in the early warning level I, the noise proportionality coefficient is in xi2＜γ＜ξ3When the noise is in class II, the noise scale factor is in xi3＜γ＜ξ4The noise early warning level is III, wherein xi1、ξ2、ξ3、ξ4A value preset for managing the database.
5. The building engineering construction work environment intelligent monitoring system based on big data according to claim 1, characterized in that: the regulation and control module further comprises a plurality of water spraying execution terminals, the water spraying execution terminals are arranged and installed on the building construction site, and each water spraying execution terminal comprises a water inlet pipe, a pipe nozzle, an installation seat, fastening nails and a solar panel; the water inlet of the water inlet pipe is connected with a water source through a water pump, the bottom end of the water inlet pipe is connected with the mounting seat in a threaded fit mode, the top end of the water inlet pipe is provided with a solar panel, water outlets are uniformly arranged at different heights of the water inlet pipe along the axial direction of the water inlet pipe in the circumferential direction, and the pipe nozzle is connected with the water outlet of the water inlet pipe through a water spray valve; the mount pad evenly is provided with the mounting hole along its radial direction, and inside the binding nail passed the mounting hole and inserted the building site soil, the solar panel lower extreme was provided with the base, was connected through threaded connection's mode between base and the inlet tube top, and solar panel's the bracing piece of placing its back of inclination accessible was adjusted.
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