CN214075655U - Building site raise dust on-line intelligent monitoring and spray integrated device - Google Patents
Building site raise dust on-line intelligent monitoring and spray integrated device Download PDFInfo
- Publication number
- CN214075655U CN214075655U CN202022601586.0U CN202022601586U CN214075655U CN 214075655 U CN214075655 U CN 214075655U CN 202022601586 U CN202022601586 U CN 202022601586U CN 214075655 U CN214075655 U CN 214075655U
- Authority
- CN
- China
- Prior art keywords
- spraying
- control host
- intelligent monitoring
- data
- dust
- 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.)
- Expired - Fee Related
Links
- 239000000428 dust Substances 0.000 title claims abstract description 50
- 238000012544 monitoring process Methods 0.000 title claims abstract description 49
- 239000007921 spray Substances 0.000 title claims description 13
- 238000005507 spraying Methods 0.000 claims abstract description 41
- 238000010276 construction Methods 0.000 claims abstract description 31
- 238000001514 detection method Methods 0.000 claims abstract description 18
- 238000004891 communication Methods 0.000 claims description 24
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 12
- 238000013527 convolutional neural network Methods 0.000 claims description 10
- 238000004458 analytical method Methods 0.000 abstract description 5
- 230000006872 improvement Effects 0.000 abstract description 3
- 230000009467 reduction Effects 0.000 abstract description 3
- 208000028571 Occupational disease Diseases 0.000 abstract description 2
- 230000002159 abnormal effect Effects 0.000 abstract description 2
- 238000007689 inspection Methods 0.000 abstract description 2
- 238000007726 management method Methods 0.000 description 4
- 238000013480 data collection Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000003915 air pollution Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 210000004072 lung Anatomy 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 239000003595 mist Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000000653 nervous system Anatomy 0.000 description 1
- 238000011176 pooling Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Abstract
The utility model relates to the field of intelligent monitoring of construction sites, in particular to an online intelligent monitoring and spraying integrated device for dust raising of construction sites; the intelligent monitoring system who combines the site environment that is used for the detection area and discerns the vehicle monitors the emission condition at building site raise dust source in real time, provides decision support for the management and control. The construction site is effectively subjected to a safety early warning function, so that the life and property loss of the site and workers is further prevented; the investment of manual safety inspection is reduced, the reliability of safety early warning is improved, and the management concept of personnel reduction and efficiency improvement is met. Through data access analysis, alarm information can be sent out in time in a slightly abnormal state, so that occupational disease accidents of serious personnel are avoided; the utility model discloses a under the unmanned management mode, effective control building site environment reduces the emergence of incident, can discover in time to handle early when meeting emergency to improve the factor of safety of construction, realize the intelligent management of wisdom engineering.
Description
Technical Field
The utility model relates to a building site intelligent monitoring field indicates an online intelligent monitoring of building site raise dust and spray integrated device especially.
Background
Because no hardening treatment is carried out on the site of a construction site, large dust can be generated during construction or when vehicles pass by, and dust pollution is generated, and the dust pollution on the construction site is one of main pollution sources of total suspended particulate matters in air and is also one of sources of PM 2.5. The dust raised on the construction site easily causes diseases of the lung and the nervous system and visual pollution, and the dust accumulated to a certain extent can influence the appearance of the market and pollute the environment, which can harm the visible spots.
Disclosure of Invention
In order to solve the problems, the utility model provides an online intelligent monitoring and spraying integrated device for the raised dust in the construction site, which effectively controls the raised dust pollution in the construction site, places the raised dust online monitoring equipment at a specific position on the site, transmits the monitoring data to the terminal equipment in real time, and has an early warning function when exceeding the standard; and the intelligent control spraying system is installed on site, and when the flying dust data on site exceeds the standard, spraying or fog gun equipment is automatically triggered to spray for dust reduction.
In order to achieve the above object, the utility model adopts the following technical scheme: an on-line intelligent monitoring and spraying integrated device for raised dust in a construction site comprises a raised dust monitoring system, a spraying system and an intelligent monitoring system for detecting the field environment of a region and identifying vehicles; the intelligent monitoring system comprises an intelligent camera terminal, a communication unit and a cloud server;
the intelligent camera terminal transmits the shooting data to the cloud server through the communication unit, and the cloud server identifies and analyzes the shooting data through the convolutional neural network;
the dust monitoring system comprises a wind direction sensor, a wind speed sensor, a dust sensor, a temperature and humidity sensor, a noise sensor, an LED display screen and a system control host, wherein the wind direction sensor, the wind speed sensor, the dust sensor, the temperature and humidity sensor and the noise sensor are all connected with the system control host and send detection data to the system control host, the system control host transmits the detection data to a cloud server through a communication module for communication connection, and the cloud server controls the start or the stop of the spraying system through the detection data; the LED display screen is electrically connected with the system control host, and the LED display screen displays detection data in real time;
the spraying system comprises a water outlet pipe arranged on a construction site, a spraying control host machine for controlling the water outlet pipe to be communicated or closed, a plurality of spraying pipes communicated with the water outlet pipe, and a movable fog gun arranged in the construction site, wherein each spraying pipe is provided with a nozzle; wherein the spraying control host and the movable fog gun are electrically connected with the system control host.
Furthermore, a plurality of spray pipes are distributed at equal intervals, and the two spray pipes are separated by 2 meters.
Further, the communication unit is an ethernet switch.
Further, the cloud server comprises a data identification processing center, a data storage center and a data acquisition service center, wherein the data storage center and the data acquisition service center are connected with the data identification processing center, and the data identification processing center is in communication connection with the system control host through the communication module.
Further, the communication module is a wireless WiFi unit.
Further, raise dust monitoring system still includes alarm system, wherein alarm system and system control host computer electric connection.
The beneficial effects of the utility model reside in that:
1. the intelligent monitoring system who combines the site environment that is used for the detection area and discerns the vehicle monitors the emission condition at building site raise dust source in real time, provides decision support for the management and control.
2. The construction site is effectively subjected to a safety early warning function, so that the life and property loss of the site and workers is further prevented; the investment of manual safety inspection is reduced, the reliability of safety early warning is improved, and the management concept of personnel reduction and efficiency improvement is met.
3. By accessing and analyzing the data of the wind direction sensor, the wind speed sensor, the dust sensor, the temperature and humidity sensor and the noise sensor, warning information can be sent out in time in a slightly abnormal state, and occupational disease accidents of serious personnel are avoided;
4. the utility model discloses a under the unmanned management mode, effective control building site environment reduces the emergence of incident, can discover in time to handle in early stage when meeting emergency to improve the factor of safety of construction, produce huge economic benefits, realize the intelligent management of wisdom engineering.
Drawings
Fig. 1 is a flow chart of image recognition based on a convolutional neural network.
Fig. 2 is a flow chart of intelligent identification and dust emission linkage.
Fig. 3 is a schematic structural diagram of a dust monitoring and spraying system.
Fig. 4 is a schematic structural view of a spraying system.
The reference numbers illustrate: the intelligent monitoring system comprises an intelligent camera terminal 11, a communication unit 12, a data identification processing center 13, a data storage center 14, a data acquisition service center 15, a raise dust monitoring system 16, a system control host 161, a wind direction sensor 162, a wind speed sensor 163, a raise dust sensor 164, a temperature and humidity sensor 165, a noise sensor 166, an LED display screen 167, an alarm system 168, a spraying system 17, a mobile fog gun 171, a spraying control host 172, a water outlet pipe 173, a spraying pipe 174 and a nozzle 175.
Detailed Description
Referring to fig. 1-4, the present invention relates to an on-line intelligent monitoring and spraying integrated device for dust emission in a construction site, which comprises an intelligent monitoring system for detecting the field environment of a region and identifying vehicles, a dust emission monitoring system 16 and a spraying system 17; the intelligent monitoring system comprises an intelligent camera terminal 11, a communication unit 12 and a cloud server; the method is applied to analysis of an intelligent monitoring system in a construction site environment, monitoring and driving of IoT equipment within 24 hours are achieved through real-time pictures of an intelligent detection station area of an intelligent camera terminal 11 in the intelligent monitoring system, the intelligent camera terminal 11 is fixed, all images shot by the intelligent camera terminal 11 are transmitted to a cloud server through a communication unit 12 (in the specific embodiment, an Ethernet is adopted), and in the application, the cloud server adopts a convolutional neural network to recognize, analyze and upload data of the images; the identification object comprises the type of the engineering vehicle and comprises the following steps: vehicle condition, location, dynamics, etc. And if the identified truck and the transport vehicle are detected, the linkage spraying system 17 sprays.
The following specifically discusses the principle that the cloud server identifies the vehicle type by using the convolutional neural network:
because the actual site environment of a transformer substation building site is generally complex, the shot video image data has great background interference, and the traditional image processing method cannot obtain effective feature expression. Convolutional Neural Networks (CNNs) are multi-stage globally trainable artificial Neural network models, abstract, essential and high-order features can be learned from a small amount of preprocessing and even from original data, and the Convolutional Neural Networks are widely applied to the fields of license plate detection, face detection, hand and body character recognition, target tracking and the like, and are hot spots for research in the fields of machine learning, computer vision and the like.
For the type of vehicle, a convolutional neural network with stronger feature extraction capability is adopted, and the main flow is shown in fig. 1. And inputting the field site vehicle images uploaded by the fixed camera into a network, and performing convolution and pooling for multiple times, and finally performing deconvolution to obtain a final identification result. And the vehicle type identification based on the convolutional neural network is combined to ensure the image quality.
Factors causing air pollution are complicated, and in order to improve the quality of the construction site environment, high-precision and high-quality data are collected, and more importantly, the data are comprehensively analyzed, so that early discovery and early treatment are realized. The dust monitoring system 16 comprises a wind direction sensor 162, a wind speed sensor 163, a dust sensor 164, a temperature and humidity sensor 165, a noise sensor 166, a led display screen 167 and a system control host 161, wherein the wind direction sensor 162, the wind speed sensor 163, the dust sensor 164, the temperature and humidity sensor 165 and the noise sensor 166 are connected with the system control host 161 and transmit detected data to the system control host 161, the system control host 161 transmits the detected data to a cloud server through a communication module, and the cloud server analyzes the detected data and controls the spray system 17 to be started or closed through the detected data; LEDLED display screen 167 and system control host 161 electric connection, and LEDLED display screen 167 will detect data real-time display monitoring data.
On the whole, the raise dust monitoring system 16 relies on an intelligent monitoring system, the raise dust monitoring system 16 carries out real-time monitoring on air of a construction site area environment, carries out all-weather on-site accurate measurement on a plurality of environmental parameter elements, displays an LED screen in real time and uploads monitoring data in real time, and the monitor has the super-standard values of PM10 and PM 2.5. Wherein the system sets PM10 and PM2.5 superscalar values (early warning: 100 ug/cubic meter; alarm linkage: 130 ug/cubic meter).
The spraying system 17 comprises a water outlet pipe 173 arranged on a construction site, a spraying control host 172 for controlling the water outlet pipe 173 to be communicated or closed, a plurality of spraying pipes 174 communicated with the water outlet pipe 173, and a movable fog gun 171 arranged in the construction site, wherein each spraying pipe 174 is provided with a nozzle 175; wherein the spraying control host 172 and the mobile mist sprayer 171 are electrically connected with the system control host 161. When the detection data that cloud server analysis raise dust monitoring system 16 sent, can start spraying system 17 and reduce the building site raise dust, also improved water resource utilization simultaneously, for effective control job site raise dust pollution, improve construction environment quality to realize unmanned on duty remote monitoring.
Further, a plurality of spray pipes 174 are distributed at equal intervals, and two spray pipes 174 are spaced apart by 2 meters. In the embodiment, the distance between the two spraying pipes 174 is controlled to be 2 meters, which can reduce the overlapped positions of spraying, thereby greatly improving the spraying effect, improving the utilization rate of water resources, effectively controlling the dust pollution on the construction site, improving the quality of construction environment, and realizing unattended remote monitoring.
Further, the communication unit 12 is an ethernet switch.
Further, the cloud server includes a data identification processing center 13, a data storage center 14, and a data collection service center 15, wherein the data storage center 14 and the data collection service center 15 are both connected to the data identification processing center 13, and the data identification processing center 13 is in communication connection with the system control host 161 through a communication module. The data recognition processing center 13 performs recognition analysis on all images captured by the intelligent camera terminal 11, and the data recognition processing center 13 also performs analysis on the detection data sent by the system control host 161, and both the image data and the detection data are stored in the data storage center 14.
Further, the communication module is a wireless WiFi unit.
Further, the dust monitoring system 16 further includes an alarm system 168, wherein the alarm system 168 is electrically connected to the system control host 161. When the data recognition processing center 13 also analyzes the detection data sent by the system control host 161 and finds that a certain item of detection data exceeds a preset value, the data recognition processing center 13 issues an instruction to the system control host 161, and then the system control host 161 starts the alarm system 168 to alarm, so as to remind the corresponding area to make an adjustment.
The above embodiments are only for describing the preferred embodiments of the present invention, and are not intended to limit the scope of the present invention, and various modifications and improvements made by the technical solution of the present invention by those skilled in the art are all within the scope of the present invention as defined by the claims.
Claims (6)
1. The utility model provides a building site raise dust on-line intelligent monitoring and spray integrated device which characterized in that: the system comprises a dust monitoring system, a spraying system and an intelligent monitoring system for detecting the field environment of an area and identifying vehicles; the intelligent monitoring system comprises an intelligent camera terminal, a communication unit and a cloud server;
the intelligent camera terminal transmits the shooting data to the cloud server through the communication unit, and the cloud server identifies and analyzes the shooting data through the convolutional neural network;
the dust monitoring system comprises a wind direction sensor, a wind speed sensor, a dust sensor, a temperature and humidity sensor, a noise sensor, an LED display screen and a system control host, wherein the wind direction sensor, the wind speed sensor, the dust sensor, the temperature and humidity sensor and the noise sensor are all connected with the system control host and send detection data to the system control host, the system control host transmits the detection data to a cloud server through a communication module for communication connection, and the cloud server controls the start or the stop of the spraying system through the detection data; the LED display screen is electrically connected with the system control host, and the LED display screen displays detection data in real time;
the spraying system comprises a water outlet pipe arranged on a construction site, a spraying control host machine for controlling the water outlet pipe to be communicated or closed, a plurality of spraying pipes communicated with the water outlet pipe, and a movable fog gun arranged in the construction site, wherein each spraying pipe is provided with a nozzle; wherein the spraying control host and the movable fog gun are electrically connected with the system control host.
2. The on-line intelligent monitoring and spraying integrated device for the raise dust of the construction site according to claim 1, which is characterized in that: wherein a plurality of spray pipes are distributed at equal intervals, and the two spray pipes are separated by 2 meters.
3. The on-line intelligent monitoring and spraying integrated device for the raise dust of the construction site according to claim 1, which is characterized in that: the communication unit is an ethernet switch.
4. The on-line intelligent monitoring and spraying integrated device for the raise dust of the construction site according to claim 1, which is characterized in that: the cloud server comprises a data identification processing center, a data storage center and a data acquisition service center, wherein the data storage center and the data acquisition service center are connected with the data identification processing center, and the data identification processing center is in communication connection with the system control host through a communication module.
5. The on-line intelligent monitoring and spraying integrated device for the raise dust at the construction site according to claim 1 or 4, which is characterized in that: the communication module is a wireless WiFi unit.
6. The on-line intelligent monitoring and spraying integrated device for the raise dust of the construction site according to claim 1, which is characterized in that: the raise dust monitoring system further comprises an alarm system, wherein the alarm system is electrically connected with the system control host.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022601586.0U CN214075655U (en) | 2020-11-12 | 2020-11-12 | Building site raise dust on-line intelligent monitoring and spray integrated device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022601586.0U CN214075655U (en) | 2020-11-12 | 2020-11-12 | Building site raise dust on-line intelligent monitoring and spray integrated device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN214075655U true CN214075655U (en) | 2021-08-31 |
Family
ID=77449213
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202022601586.0U Expired - Fee Related CN214075655U (en) | 2020-11-12 | 2020-11-12 | Building site raise dust on-line intelligent monitoring and spray integrated device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN214075655U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116295604A (en) * | 2023-01-04 | 2023-06-23 | 中铁十一局集团有限公司 | Intelligent dust real-time monitoring and control system |
-
2020
- 2020-11-12 CN CN202022601586.0U patent/CN214075655U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116295604A (en) * | 2023-01-04 | 2023-06-23 | 中铁十一局集团有限公司 | Intelligent dust real-time monitoring and control system |
| CN116295604B (en) * | 2023-01-04 | 2024-02-06 | 中铁十一局集团有限公司 | Intelligent dust real-time monitoring and control system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111530203B (en) | Intelligent dust measurement and control system and dust suppression and dust fall method thereof | |
| CN105835063B (en) | Crusing robot system and its method for inspecting in a kind of substation room | |
| CN100466008C (en) | Traffic monitoring method and electronic police system | |
| CN105094038B (en) | Construction site environmental monitoring improves device and its control method | |
| CN109472468A (en) | For the pollutant discharge of enterprise intelligent monitoring data analysis system of VOC organic exhaust gas | |
| CN105100724A (en) | Remote and safe intelligent household monitoring method and device based on visual analysis | |
| CN106355809A (en) | Early warning and emergent processing system for forest fire | |
| CN107380163A (en) | Automobile intelligent alarm forecasting system and its method based on magnetic navigation | |
| CN209755191U (en) | Intelligent inspection robot for transformer substation monitoring | |
| CN207268846U (en) | Electric inspection process robot | |
| CN114373245A (en) | Intelligent inspection system based on digital power plant | |
| CN109509320A (en) | A kind of substation's fire alarm crusing robot | |
| CN211855436U (en) | Environment monitoring intelligent terminal | |
| CN111385540A (en) | Wisdom municipal infrastructure management system based on video stream analysis technique | |
| CN214075655U (en) | Building site raise dust on-line intelligent monitoring and spray integrated device | |
| CN206074832U (en) | A kind of railcar roof pantograph foreign matter detection system | |
| CN109256008A (en) | A kind of visualization vehicle spray painting stimulating and training system and its application method | |
| CN113489769A (en) | Wisdom garden integration integrated service management system | |
| CN116301091A (en) | Temperature control intelligent management system suitable for radiation cold and warm window | |
| CN110035265A (en) | A kind of intelligent inspection robot and system for security protection | |
| CN114038008A (en) | Wild animal inspection system based on YOLO v5 and edge calculation | |
| CN112702570A (en) | Security protection management system based on multi-dimensional behavior recognition | |
| CN209118452U (en) | A kind of substation's fire alarm crusing robot | |
| CN207304616U (en) | Intelligent cloud paint spray booth system | |
| CN115663999A (en) | Transformer substation online intelligent inspection system and method based on big data and deep learning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20210831 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |