CN114859001A - Water environment big data monitoring system and method - Google Patents
Water environment big data monitoring system and method Download PDFInfo
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- CN114859001A CN114859001A CN202210636703.8A CN202210636703A CN114859001A CN 114859001 A CN114859001 A CN 114859001A CN 202210636703 A CN202210636703 A CN 202210636703A CN 114859001 A CN114859001 A CN 114859001A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 112
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 83
- 238000000034 method Methods 0.000 title claims description 7
- 238000012806 monitoring device Methods 0.000 claims abstract description 22
- 238000007619 statistical method Methods 0.000 claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 14
- 238000013523 data management Methods 0.000 claims abstract description 7
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 abstract description 9
- 238000003911 water pollution Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003139 buffering effect Effects 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/20—Controlling water pollution; Waste water treatment
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- General Health & Medical Sciences (AREA)
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Abstract
The invention discloses a water environment big data monitoring system, which comprises: the monitoring stations are respectively arranged in different water areas; the water quality monitoring devices are respectively arranged at each monitoring station; the monitoring equipment comprises a data management module, a statistical analysis module and a display module, wherein the statistical analysis module comprises a real-time monitoring data statistical analysis unit, a historical monitoring data statistical analysis unit and a real-time monitoring data and historical statistical data comparison analysis unit; through the setting of establishing the surveillance center and the monitoring sites, the water quality monitoring devices of the monitoring sites monitor that the water quality data can be transmitted to the monitoring equipment in real time, and the monitoring equipment of the surveillance center can check the water quality detection data and the analysis results of the monitoring sites through the statistical analysis module on the real-time monitoring data and the historical monitoring, so that the efficiency and the detection accuracy of the water quality detection are improved.
Description
Technical Field
The invention relates to the technical field of water resource monitoring, in particular to a water environment big data monitoring system and a water environment big data monitoring method.
Background
Water is the source of life, the key point of production, the ecological base, but water pollution is becoming serious. The water pollution is mainly caused by pollutants generated by human activities and comprises four major parts, namely mine pollution sources, industrial pollution sources, agricultural pollution sources and living pollution sources. Water pollution is water that causes a reduction or loss in the use value of water due to harmful chemicals, and pollutes the environment. Water pollution affects industrial production, increases equipment corrosion, affects product quality, and even prevents further production. The pollution of water also affects the life of people, destroys the ecology, directly harms the health of people, has great damage, and the water body pollution becomes a great obstacle to the sustainable development of human health, economy and society.
Among the regional water quality monitoring system that has now, a lot of staff that need arrive the scene and carry out the collection of data, then detect the water sample of gathering, carry out the analysis to quality of water according to the testing result, and by artificial judgement, it is not accurate enough to have the convenience relatively poor, the amount of labour is big, consuming time longer shortcoming.
Disclosure of Invention
The invention aims to solve the problems and provide a water environment big data monitoring system.
The invention achieves the above purpose through the following technical scheme, a water environment big data monitoring system, comprising:
the monitoring stations are respectively arranged in different water areas;
the water quality monitoring devices are respectively arranged at each monitoring station;
the monitoring equipment comprises a data management module, a statistical analysis module and a display module, wherein the statistical analysis module comprises a real-time monitoring data statistical analysis unit, a historical monitoring data statistical analysis unit and a real-time monitoring data and historical statistical data comparison analysis unit; the display module comprises a monitoring station information display unit, a water quality statistic analysis data display unit, a monitoring station patrol record display unit and a station water quality analysis data display unit.
Preferably, the monitoring station patrol record display unit comprises patrol personnel information, historical patrol time records and next patrol time.
Preferably, the data management module includes a data receiving unit, a data buffering unit and a data transmission unit.
Preferably, the monitoring equipment is in control connection with the water quality monitoring device, and the monitoring equipment is connected with the water quality monitoring device through a wireless network.
A water environment big data monitoring method for a water environment big data monitoring system comprises the following steps:
s1, establishing a monitoring center, and setting monitoring equipment in the monitoring center;
s2, building monitoring sites, and building the monitoring sites outwards in a scattered manner by taking the monitoring center as the circle center;
s3, arranging a water quality monitoring device, and arranging a water quality monitoring device at each monitoring station;
s4, monitoring the water quality of the water area of the monitoring station through a water quality monitoring device, and transmitting the monitoring data to monitoring equipment in real time;
and S5, checking the water quality monitoring data of the water areas of the monitoring sites through the monitoring equipment.
The invention has the beneficial effects that:
through the setting of setting up surveillance center and monitoring website, the quality of water monitoring devices of each monitoring website monitors quality of water data and can transmit to supervisory equipment in real time to can look over the quality of water detection data and the analysis result of each monitoring website through supervisory equipment of surveillance center to real-time supervision data and historical prison through statistical analysis module, improve quality of water detection's efficiency and detection precision, reduced artifical input simultaneously.
Drawings
FIG. 1 is a schematic diagram of a water environment big data monitoring system according to the invention;
FIG. 2 is a schematic diagram of a water environment big data monitoring method of the 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.
As shown in fig. 1:
in this embodiment, a water environment big data monitoring system includes:
the monitoring stations are respectively arranged in different water areas;
the water quality monitoring devices are respectively arranged at each monitoring station;
the monitoring equipment comprises a data management module, a statistical analysis module and a display module, wherein the statistical analysis module comprises a real-time monitoring data statistical analysis unit, a historical monitoring data statistical analysis unit and a real-time monitoring data and historical statistical data comparison analysis unit; the display module comprises a monitoring station information display unit, a water quality statistic analysis data display unit, a monitoring station patrol record display unit and a station water quality analysis data display unit.
The monitoring station patrol record display unit comprises patrol personnel information, historical patrol time records and next patrol time; the data management module comprises a data receiving unit, a data caching unit and a data transmission unit; the monitoring equipment is in control connection with the water quality monitoring device, and the monitoring equipment is connected with the water quality monitoring device through a wireless network.
As shown in fig. 2:
the embodiment of the invention provides a water environment big data monitoring method for a water environment big data monitoring system, which comprises the following steps:
s1, establishing a monitoring center, and setting monitoring equipment in the monitoring center;
s2, building monitoring sites, and building the monitoring sites outwards in a scattered manner by taking the monitoring center as the circle center;
s3, arranging a water quality monitoring device, and arranging a water quality monitoring device at each monitoring station;
s4, monitoring the water quality of the water area of the monitoring station through a water quality monitoring device, and transmitting the monitoring data to monitoring equipment in real time;
and S5, checking the water quality monitoring data of the water areas of the monitoring sites through the monitoring equipment.
According to the water environment big data monitoring system in the embodiment, through the setting of the monitoring center and the monitoring stations, the water quality monitoring devices of the monitoring stations monitor that water quality data can be transmitted to the monitoring equipment in real time, and the water quality detection data and analysis results of the monitoring stations can be checked through the monitoring equipment of the monitoring center for the real-time monitoring data and historical monitoring through the statistical analysis module, so that the efficiency and the detection accuracy of water quality detection are improved, and meanwhile, the manual investment is reduced.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (5)
1. A water environment big data monitoring system, comprising:
the monitoring stations are respectively arranged in different water areas;
the water quality monitoring devices are respectively arranged at each monitoring station;
the monitoring equipment comprises a data management module, a statistical analysis module and a display module, wherein the statistical analysis module comprises a real-time monitoring data statistical analysis unit, a historical monitoring data statistical analysis unit and a real-time monitoring data and historical statistical data comparison analysis unit; the display module comprises a monitoring station information display unit, a water quality statistic analysis data display unit, a monitoring station patrol record display unit and a station water quality analysis data display unit.
2. The water environment big data monitoring system according to claim 1, characterized in that: the monitoring station patrol record display unit comprises patrol personnel information, historical patrol time records and next patrol time.
3. The water environment big data monitoring system according to claim 1, characterized in that: the data management module comprises a data receiving unit, a data caching unit and a data transmission unit.
4. The water environment big data monitoring system according to claim 1, characterized in that: the monitoring equipment is in control connection with the water quality monitoring device, and the monitoring equipment is connected with the water quality monitoring device through a wireless network.
5. A water environment big data monitoring method for the water environment big data monitoring system according to claim 1, which comprises the steps of:
s1, establishing a monitoring center, and setting monitoring equipment in the monitoring center;
s2, building monitoring sites, and building the monitoring sites outwards in a scattered manner by taking the monitoring center as the circle center;
s3, arranging a water quality monitoring device, and arranging a water quality monitoring device at each monitoring station;
s4, monitoring the water quality of the water area of the monitoring station through a water quality monitoring device, and transmitting the monitoring data to monitoring equipment in real time;
and S5, checking the water quality monitoring data of the water areas of the monitoring sites through the monitoring equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210636703.8A CN114859001A (en) | 2022-06-07 | 2022-06-07 | Water environment big data monitoring system and method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210636703.8A CN114859001A (en) | 2022-06-07 | 2022-06-07 | Water environment big data monitoring system and method |
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| CN114859001A true CN114859001A (en) | 2022-08-05 |
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| CN202210636703.8A Pending CN114859001A (en) | 2022-06-07 | 2022-06-07 | Water environment big data monitoring system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201681071U (en) * | 2009-12-11 | 2010-12-22 | 中国计量学院 | Multi-parameter modularized aquaculture water environment wireless monitoring system |
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| CN102890142A (en) * | 2012-09-20 | 2013-01-23 | 华东理工大学 | Online lake water quality monitoring system based on internet of things |
| CN103578256A (en) * | 2013-11-04 | 2014-02-12 | 桂林电子科技大学 | Regional water environment heavy metal monitoring system and operating method |
| CN103675225A (en) * | 2013-12-02 | 2014-03-26 | 华东理工大学 | Portable water quality detection instrument and method |
| CN103852566A (en) * | 2012-11-30 | 2014-06-11 | 大连宏宇科技有限公司 | Water quality online monitoring system |
| CN104931669A (en) * | 2015-06-02 | 2015-09-23 | 苏州高新区、虎丘区环境监测站 | Automatic water quality monitoring integrated system for surface water |
| CN107782869A (en) * | 2017-07-14 | 2018-03-09 | 水联网技术服务中心（北京）有限公司 | A kind of monitoring water quality on line system |
| CN110850051A (en) * | 2019-11-29 | 2020-02-28 | 广西华投检测技术有限公司 | Water quality environment monitoring method |
| CN211206462U (en) * | 2019-07-15 | 2020-08-07 | 浙江创韵环境科技有限公司 | Thing networking water quality monitoring system |
| CN111757287A (en) * | 2020-06-19 | 2020-10-09 | 合肥学院 | Water quality monitoring system based on Internet of things |
| CN111965317A (en) * | 2020-08-05 | 2020-11-20 | 宁夏无线互通信息技术有限公司 | Movable river water quality monitoring system |
-
2022
- 2022-06-07 CN CN202210636703.8A patent/CN114859001A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101923764A (en) * | 2009-06-17 | 2010-12-22 | 孙亦武 | Early warning system of water-area pollution monitoring ships |
| CN201681071U (en) * | 2009-12-11 | 2010-12-22 | 中国计量学院 | Multi-parameter modularized aquaculture water environment wireless monitoring system |
| CN102890142A (en) * | 2012-09-20 | 2013-01-23 | 华东理工大学 | Online lake water quality monitoring system based on internet of things |
| CN103852566A (en) * | 2012-11-30 | 2014-06-11 | 大连宏宇科技有限公司 | Water quality online monitoring system |
| CN103578256A (en) * | 2013-11-04 | 2014-02-12 | 桂林电子科技大学 | Regional water environment heavy metal monitoring system and operating method |
| CN103675225A (en) * | 2013-12-02 | 2014-03-26 | 华东理工大学 | Portable water quality detection instrument and method |
| CN104931669A (en) * | 2015-06-02 | 2015-09-23 | 苏州高新区、虎丘区环境监测站 | Automatic water quality monitoring integrated system for surface water |
| CN107782869A (en) * | 2017-07-14 | 2018-03-09 | 水联网技术服务中心（北京）有限公司 | A kind of monitoring water quality on line system |
| CN211206462U (en) * | 2019-07-15 | 2020-08-07 | 浙江创韵环境科技有限公司 | Thing networking water quality monitoring system |
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| CN111965317A (en) * | 2020-08-05 | 2020-11-20 | 宁夏无线互通信息技术有限公司 | Movable river water quality monitoring system |
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Application publication date: 20220805 |