CN113034880A - Environmental protection monitoring system based on big data - Google Patents
Environmental protection monitoring system based on big data Download PDFInfo
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- CN113034880A CN113034880A CN202110318192.0A CN202110318192A CN113034880A CN 113034880 A CN113034880 A CN 113034880A CN 202110318192 A CN202110318192 A CN 202110318192A CN 113034880 A CN113034880 A CN 113034880A
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/12—Alarms for ensuring the safety of persons responsive to undesired emission of substances, e.g. pollution alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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Abstract
The invention provides an environment-friendly monitoring system based on big data, which comprises a harmful gas monitoring component, a dust monitoring component, a sewage discharge monitoring component and a noise monitoring component which are arranged in a factory, wherein the harmful gas monitoring component, the dust monitoring component, the sewage discharge monitoring component and the noise monitoring component are all in wireless connection with a monitoring host computer, the monitoring host computer is respectively and electrically connected with a display screen and an alarm, and the monitoring host computer is also in wireless connection with a cloud server; the monitoring system comprises a monitoring host, a monitoring department and a monitoring server, wherein the monitoring host is used for monitoring the emission data of a factory, the monitoring host is used for uploading the emission data to the monitoring host, and the monitoring department can monitor the emission condition and the abnormal condition of the factory in real time through the cloud server, so that the monitoring efficiency and the monitoring effect are greatly improved.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to an environmental monitoring system based on big data.
Background
Factory emission is a big factor of environmental pollution, and although the environmental protection law of China stipulates a sound factory emission system, certain enterprises still have a lucky psychology and cannot steal the emission according to laws and regulations; for these illegal emissions behaviors; at present, the environment supervision department can only carry equipment manually to monitor on the spot, which not only wastes time and labor, but also can not realize all-round supervision because of limited manpower.
Therefore, an environmental monitoring system based on big data is needed to solve the problem that the current factory emission cannot be monitored in all directions.
Disclosure of Invention
The invention aims to provide an environment-friendly monitoring system based on big data, and the environment-friendly monitoring system is used for solving the problem that the existing factory emission cannot be monitored in all directions.
In order to achieve the purpose, the invention provides the following scheme:
the invention provides an environment-friendly monitoring system based on big data, which comprises a harmful gas monitoring component, a dust monitoring component, a sewage discharge monitoring component and a noise monitoring component which are arranged in a factory, wherein the harmful gas monitoring component, the dust monitoring component, the sewage discharge monitoring component and the noise monitoring component are all in wireless connection with a monitoring host, the monitoring host is respectively and electrically connected with a display screen and an alarm, and the monitoring host is also in wireless connection with a cloud server.
Preferably, the harmful gas monitoring subassembly, the dust monitoring subassembly, the sewage discharge monitoring subassembly and the noise monitoring subassembly all pass through wiFi wireless connection with the monitoring host computer.
Preferably, the harmful gas monitoring assembly comprises a first microcontroller, the first microcontroller is electrically connected with the harmful gas detector through a first analog-to-digital conversion module, the first microcontroller is also electrically connected with a first power supply and a first data transmission module, and the first data transmission module is wirelessly connected with the monitoring host.
Preferably, the dust monitoring assembly comprises a second microcontroller, the second microcontroller is electrically connected with the dust sensor through a second analog-to-digital conversion module, the second microcontroller is also electrically connected with a second power supply and a second data transmission module, and the second transmission module is wirelessly connected with the monitoring host.
Preferably, the sewage discharge monitoring assembly comprises a third microcontroller, the third microcontroller is electrically connected with the sewage detector through a third analog-to-digital conversion module, the third microcontroller is also electrically connected with a third power supply and a third data transmission module, and the third data transmission module is wirelessly connected with the monitoring host.
Preferably, the noise monitoring assembly comprises a fourth microcontroller, the fourth microcontroller is electrically connected with the noise measuring instrument through a fourth analog-to-digital conversion module, the fourth microcontroller is also electrically connected with a fourth power supply and a fourth data transmission module, and the fourth data transmission module is wirelessly connected with the monitoring host.
Preferably, the monitoring host computer includes central processing unit, central processing unit electric connection has memory, fifth data transmission module and display module, harmful gas monitoring subassembly the dust monitoring subassembly the sewage discharge monitoring subassembly the noise monitoring subassembly with the cloud ware all with fifth data transmission module wireless connection, the display screen with display module electric connection, the alarm with central processing unit electric connection.
Preferably, the cloud server is wirelessly connected with the fifth data transmission module through 5G.
Compared with the prior art, the invention has the following beneficial technical effects:
the invention provides an environment-friendly monitoring system based on big data, which comprises a harmful gas monitoring component, a dust monitoring component, a sewage discharge monitoring component and a noise monitoring component which are arranged in a factory, wherein the harmful gas monitoring component, the dust monitoring component, the sewage discharge monitoring component and the noise monitoring component are all in wireless connection with a monitoring host computer, the monitoring host computer is respectively and electrically connected with a display screen and an alarm, and the monitoring host computer is also in wireless connection with a cloud server; the monitoring system comprises a monitoring host, a monitoring department and a monitoring server, wherein the monitoring host is used for monitoring the emission data of a factory, the monitoring host is used for uploading the emission data to the monitoring host, and the monitoring department can monitor the emission condition and the abnormal condition of the factory in real time through the cloud server, so that the monitoring efficiency and the monitoring effect are greatly improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described 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 to obtain other drawings without inventive exercise.
FIG. 1 is a schematic diagram of a connection relationship of an environmental monitoring system based on big data according to the present invention;
FIG. 2 is a schematic diagram of a connection relationship between a harmful gas monitoring component and a monitoring component in an environmental monitoring system based on big data according to the present invention;
FIG. 3 is a schematic diagram illustrating a connection relationship between parts of a dust monitoring assembly in an environmental monitoring system based on big data according to the present invention;
FIG. 4 is a schematic diagram showing a connection relationship between parts of a sewage discharge monitoring assembly in the environmental monitoring system based on big data according to the present invention;
FIG. 5 is a schematic diagram of a connection relationship between noise monitoring components in an environmental monitoring system based on big data according to the present invention;
FIG. 6 is a schematic diagram of a connection relationship between monitoring hosts in the big data based environmental monitoring system according to the present invention;
in the figure: 1: harmful gas monitoring subassembly, 11: first microcontroller, 12: first analog-to-digital conversion module, 13: harmful gas detector, 14: first power supply, 15: first data transmission module, 2: dust monitoring assembly, 21: second microcontroller, 22: second analog-to-digital conversion module, 23: dust sensor, 24: second power supply, 25: second data transmission module, 3: sewage discharge monitoring assembly, 31: third microcontroller, 32: third analog-to-digital conversion module, 33: sewage detector, 34: third power supply, 35: third data transmission module, 4: noise monitoring component, 41: fourth microcontroller, 42: fourth analog-to-digital conversion module, 43: noise measurement instrument, 44: fourth power supply, 45: fourth data transmission module, 5: monitoring host, 51: central processing unit, 52: memory, 53: fifth data transmission module, 54: display module, 6: display screen, 7: alarm, 8: and (4) a cloud server.
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.
The invention aims to provide an environment-friendly monitoring system based on big data, and the environment-friendly monitoring system is used for solving the problem that the existing factory emission cannot be monitored in an all-round manner.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example 1:
the embodiment provides an environmental protection monitoring system based on big data, as shown in fig. 1, including setting up harmful gas monitoring component 1 in the mill, dust monitoring component 2, sewage discharge monitoring component 3 and noise monitoring component 4, harmful gas monitoring component 1, dust monitoring component 2, sewage discharge monitoring component 3 and noise monitoring component 4 all with monitoring host 5 wireless connection, monitoring host 5 is electric connection respectively has display screen 6 and alarm 7, monitoring host 5 still with 8 wireless connection of cloud ware.
Specifically, harmful gas monitoring subassembly 1, dust monitoring subassembly 2, sewage discharge monitoring subassembly 3 and noise monitoring subassembly 4 all pass through wiFi wireless connection with monitoring host computer 5.
Further, as shown in fig. 2, the harmful gas monitoring assembly 1 includes a first microcontroller 11, the first microcontroller 11 is electrically connected to the harmful gas detector 13 through a first analog-to-digital conversion module 12, the first microcontroller 11 is further electrically connected to a first power supply 14 and a first data transmission module 15, and the first data transmission module 15 is wirelessly connected to the monitoring host 5.
Further, as shown in fig. 3, the dust monitoring assembly 2 includes a second microcontroller 21, the second microcontroller 21 is electrically connected to the dust sensor 23 through a second analog-to-digital conversion module 22, the second microcontroller 21 is further electrically connected to a second power supply 24 and a second data transmission module 25, and the second transmission module 25 is wirelessly connected to the monitoring host 5.
Further, as shown in fig. 4, the sewage discharge monitoring assembly 3 includes a third microcontroller 31, the third microcontroller 31 is electrically connected to the sewage detector 33 through a third analog-to-digital conversion module 32, the third microcontroller 31 is further electrically connected to a third power source 34 and a third data transmission module 35, and the third data transmission module 35 is wirelessly connected to the monitoring host 5.
Further, as shown in fig. 5, the noise monitoring assembly 4 includes a fourth microcontroller 41, the fourth microcontroller 41 is electrically connected to the noise measuring instrument 43 through a fourth analog-to-digital conversion module 42, the fourth microcontroller 41 is further electrically connected to a fourth power supply 44 and a fourth data transmission module 45, and the fourth data transmission module 45 is wirelessly connected to the monitoring host 5.
Further, as shown in fig. 6, the monitoring host 5 includes a central processing unit 51, the central processing unit 51 is electrically connected with a memory 52, a fifth data transmission module 53 and a display module 54, the harmful gas monitoring component 1, the dust monitoring component 2, the sewage discharge monitoring component 3, the noise monitoring component 4 and the cloud server 8 are all wirelessly connected with the fifth data transmission module 53, the display screen 6 is electrically connected with the display module 54, and the alarm 7 is electrically connected with the central processing unit 51.
Further, the cloud server 8 and the fifth data transmission module 53 are wirelessly connected through 5G.
The invention provides an environment-friendly monitoring system based on big data, which comprises the following use methods and working principles: the method comprises the following steps of assembling a harmful gas monitoring component 1, a dust monitoring component 2, a sewage discharge monitoring component 3 and a noise monitoring component 4, and then installing the components in a factory, wherein the harmful gas monitoring component 1, the dust monitoring component 2 and the noise monitoring component 4 can be arranged outside the factory building, the sewage discharge monitoring component 3 can be arranged at a sewage discharge pipeline of the factory building for testing, the components can be wirelessly connected with a monitoring host 5, the whole system is started, a harmful gas detector 13 can detect the content of harmful gas in the factory, and after analog-to-digital conversion, the harmful gas detector is sent to a fifth data transmission module 53 through a first microcontroller 11 and a first data transmission module 15 for receiving and transmitting the harmful gas to a central processing unit 51; similarly, the mill's dust concentration that dust sensor 23 detected, the mill's noise condition homoenergetic that each material content of sewage that sewage detector 33 detected and noise measurement appearance 43 detected is carried to central processing unit 51, central processing unit 51 will discharge the condition after calculating and show on display screen 6 through display module 54, when discharging unqualified project, central processing unit 51 can control alarm 7 and report to the police, central processing unit 51 will discharge the condition through fifth data transmission module 53 and upload to cloud server 8 simultaneously, the supervision department can real time monitoring factory through cloud server 8 discharge condition and abnormal conditions, supervision efficiency and supervision effect have been improved greatly.
The principle and the implementation mode of the invention are explained by applying specific examples, and the description of the above examples is only used for helping understanding the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In summary, this summary should not be construed to limit the present invention.
Claims (8)
1. The utility model provides an environmental protection monitoring system based on big data which characterized in that: including setting up harmful gas monitoring subassembly, dust monitoring subassembly, sewage discharge monitoring subassembly and the noise monitoring subassembly in the mill, harmful gas monitoring subassembly the dust monitoring subassembly sewage discharge monitoring subassembly with the noise monitoring subassembly all with monitoring host computer wireless connection, monitoring host computer electric connection has display screen and alarm respectively, monitoring host computer still with cloud ware wireless connection.
2. The big-data based environmental monitoring system according to claim 1, wherein: the harmful gas monitoring assembly, the dust monitoring assembly, the sewage discharge monitoring assembly and the noise monitoring assembly are all in WiFi wireless connection with the monitoring host.
3. The big-data based environmental monitoring system according to claim 1, wherein: the harmful gas monitoring assembly comprises a first microcontroller, the first microcontroller is electrically connected with the harmful gas detector through a first analog-to-digital conversion module, the first microcontroller is also electrically connected with a first power supply and a first data transmission module, and the first data transmission module is wirelessly connected with the monitoring host.
4. The big-data based environmental monitoring system according to claim 1, wherein: the dust monitoring assembly comprises a second microcontroller, the second microcontroller is electrically connected with the dust sensor through a second analog-to-digital conversion module, the second microcontroller is also electrically connected with a second power supply and a second data transmission module, and the second transmission module is wirelessly connected with the monitoring host.
5. The big-data based environmental monitoring system according to claim 1, wherein: the sewage discharge monitoring assembly comprises a third microcontroller, the third microcontroller is electrically connected with the sewage detector through a third analog-to-digital conversion module, the third microcontroller is also electrically connected with a third power supply and a third data transmission module, and the third data transmission module is wirelessly connected with the monitoring host.
6. The big-data based environmental monitoring system according to claim 1, wherein: the noise monitoring assembly comprises a fourth microcontroller, the fourth microcontroller is electrically connected with the noise measuring instrument through a fourth analog-to-digital conversion module, the fourth microcontroller is also electrically connected with a fourth power supply and a fourth data transmission module, and the fourth data transmission module is wirelessly connected with the monitoring host.
7. The big-data based environmental monitoring system according to claim 1, wherein: the monitoring host comprises a central processing unit, the central processing unit is electrically connected with a memory, a fifth data transmission module and a display module, the harmful gas monitoring assembly, the dust monitoring assembly, the sewage discharge monitoring assembly, the noise monitoring assembly and the cloud server are all in wireless connection with the fifth data transmission module, the display screen is electrically connected with the display module, and the alarm is electrically connected with the central processing unit.
8. The big-data based environmental protection monitoring system of claim 7, wherein: the cloud server is wirelessly connected with the fifth data transmission module through 5G.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110318192.0A CN113034880A (en) | 2021-03-25 | 2021-03-25 | Environmental protection monitoring system based on big data |
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| CN202110318192.0A CN113034880A (en) | 2021-03-25 | 2021-03-25 | Environmental protection monitoring system based on big data |
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| CN113034880A true CN113034880A (en) | 2021-06-25 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116071895A (en) * | 2023-02-06 | 2023-05-05 | 广东慧航天唯科技有限公司 | Industrial wastewater process emission monitoring and early warning method |
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| CN207557053U (en) * | 2017-12-25 | 2018-06-29 | 福建铁拓机械有限公司 | A kind of environmental protection tests system for asphalt mixing plant |
| US20190117070A1 (en) * | 2017-10-19 | 2019-04-25 | Masimo Corporation | Medical monitoring system |
| CN209784302U (en) * | 2019-02-14 | 2019-12-13 | 瑟恩实业(上海)有限公司 | Transmitter and gas concentration monitoring and alarming cloud platform system |
| CN211954258U (en) * | 2020-05-26 | 2020-11-17 | 苏州细无声信息科技服务有限公司 | Intelligent environment-friendly Internet of things software system |
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2021
- 2021-03-25 CN CN202110318192.0A patent/CN113034880A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202855053U (en) * | 2012-06-11 | 2013-04-03 | 夏骏 | Multifunctional remote control distributed wireless gas monitoring device |
| US20190117070A1 (en) * | 2017-10-19 | 2019-04-25 | Masimo Corporation | Medical monitoring system |
| CN207557053U (en) * | 2017-12-25 | 2018-06-29 | 福建铁拓机械有限公司 | A kind of environmental protection tests system for asphalt mixing plant |
| CN209784302U (en) * | 2019-02-14 | 2019-12-13 | 瑟恩实业(上海)有限公司 | Transmitter and gas concentration monitoring and alarming cloud platform system |
| CN211954258U (en) * | 2020-05-26 | 2020-11-17 | 苏州细无声信息科技服务有限公司 | Intelligent environment-friendly Internet of things software system |
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| CN116071895A (en) * | 2023-02-06 | 2023-05-05 | 广东慧航天唯科技有限公司 | Industrial wastewater process emission monitoring and early warning method |
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