CN113896331A - Intelligent surface water treatment system - Google Patents

Intelligent surface water treatment system Download PDF

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Publication number
CN113896331A
CN113896331A CN202111296129.8A CN202111296129A CN113896331A CN 113896331 A CN113896331 A CN 113896331A CN 202111296129 A CN202111296129 A CN 202111296129A CN 113896331 A CN113896331 A CN 113896331A
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China
Prior art keywords
module
treatment
ecological environment
treatment module
ecological
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CN202111296129.8A
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Chinese (zh)
Inventor
温颜莎
朱曦
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Nanjing Jixiang Sensing Imaging Technology Research Institute Co ltd
Nanjing Weixin Photoelectric System Co ltd
Nanjing University 5d Technology Co ltd
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Nanjing Jixiang Sensing Imaging Technology Research Institute Co ltd
Nanjing Weixin Photoelectric System Co ltd
Nanjing University 5d Technology Co ltd
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Priority to CN202111296129.8A priority Critical patent/CN113896331A/en
Publication of CN113896331A publication Critical patent/CN113896331A/en
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    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F3/00Biological treatment of water, waste water, or sewage
    • C02F3/34Biological treatment of water, waste water, or sewage characterised by the microorganisms used
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F7/00Aeration of stretches of water
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2209/00Controlling or monitoring parameters in water treatment
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02WCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W10/00Technologies for wastewater treatment
    • Y02W10/10Biological treatment of water, waste water, or sewage

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  • Life Sciences & Earth Sciences (AREA)
  • Microbiology (AREA)
  • Hydrology & Water Resources (AREA)
  • Engineering & Computer Science (AREA)
  • Environmental & Geological Engineering (AREA)
  • Water Supply & Treatment (AREA)
  • Chemical & Material Sciences (AREA)
  • Organic Chemistry (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Farming Of Fish And Shellfish (AREA)

Abstract

The invention discloses an intelligent treatment system for surface water. The ecological environment monitoring and treatment system comprises a central processing module, an ecological environment sensing module, an ecological environment storage module, an ecological environment big data application module and an accurate treatment module, wherein the ecological environment sensing module is connected with the central processing module, the ecological environment storage module is connected with the central processing module, the ecological environment big data application module is connected with the central processing module, the accurate treatment module comprises a screening and physical examination module, a etiology diagnosis module and a treatment module, the screening and physical examination module is connected with the accurate treatment module, and the etiology diagnosis module is connected with the accurate treatment module. According to the invention, the ecological environment is convenient to sense, the pollution source is convenient to analyze, and different treatment schemes can be formulated for different pollution sources.

Description

Intelligent surface water treatment system
Technical Field
The invention relates to the technical field of treatment systems, in particular to an intelligent surface water treatment system.
Background
Surface water, which is a generic term for dynamic water and static water on the surface of land, is also called "land water", and includes various liquid and solid water bodies, mainly rivers, lakes, marshes, glaciers, ice covers, and the like. It is one of the important sources of human domestic water and also a main component of water resources in various countries.
Although the natural water source for any surface water system is only from precipitation in the catchment area, there are many other factors that affect how much total water is in the system. These factors include the amount of water retained in lakes, wetlands, reservoirs, the permeability of the soil, and the character of the ground surface flow in the catchment area. Human activity has a significant impact on these properties.
At present, the discharge of human sewage and industrial sewage easily causes ground water pollution, and the existing sewage treatment has more complicated treatment process, not only needs to consume manpower to search for pollution sources, but also has poor pertinence of treatment schemes, is inconvenient to search for pollution sources, and can not establish different treatment schemes aiming at different pollution sources, so that an intelligent surface water treatment system is provided for solving the problems.
Disclosure of Invention
The invention aims to provide an intelligent surface water treatment system to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent surface water treatment system is characterized by comprising a central processing module, an ecological environment sensing module, an ecological environment storage module, an ecological environment big data application module and a precise treatment module, wherein the ecological environment sensing module is connected with the central processing module, the ecological environment storage module is connected with the central processing module, the ecological environment big data application module is connected with the central processing module, the precise treatment module comprises a screening and physical examination module, a cause diagnosis module and a treatment module, the screening and physical examination module is connected with the precise treatment module, the cause diagnosis module is connected with the precise treatment module, the treatment module comprises a short-term management and control module and a long-term radical treatment module, and the management and control short-term module is connected with the treatment module, the long-term radical treatment module is connected with the treatment module.
Furthermore, screening and physical examination module includes acquisition module, contrast module, satellite image module and analysis module, contrast module is connected with acquisition module, satellite image module is connected with contrast module, analysis module is connected with satellite image module.
Furthermore, the etiology diagnosis module comprises a water quality inversion module, a geological classification module, a target identification module, a pollution load module and a pollution source tracing module, wherein the geological classification module is connected with the water quality inversion module, the target identification module is connected with the geological classification module, the pollution load module is connected with the target identification module, and the pollution source tracing module is connected with the pollution load module.
Further, the short-term management and control module comprises a peak staggering emission module, a gate waterlogging drainage management and control module and a farming water return module, the peak staggering emission module is connected with the peak staggering emission module, the gate waterlogging drainage management and control module is connected with the peak staggering emission module, and the farming water return module is connected with the gate waterlogging drainage management and control module.
Further, the long-term radical treatment module comprises an industrial sewage treatment module, a domestic sewage treatment module, an aquatic product treatment module and a dripping treatment module, wherein the domestic sewage treatment module is connected with the industrial sewage treatment module, the aquatic product treatment module is connected with the domestic sewage treatment module, and the dripping treatment module is connected with the aquatic product treatment module.
Further, the acquisition module includes satellite remote sensing, unmanned aerial vehicle, carries out on a large scale through satellite remote sensing, and high definition general investigation carries out key detail investigation to the key region through unmanned aerial vehicle.
Further, the short-term management and control module comprises integrated equipment, an aerator, a biological agent, an ecological soft enclosure and ecological water supplement.
Further, the domestic sewage treatment comprises official network construction, rain and sewage diversion and ecological ditches.
Compared with the prior art, the invention has the beneficial effects that:
(1) the ecological environment can be acquired through the ecological environment sensing module, the acquired data can be stored through the ecological environment storage module, and the data can be analyzed through the ecological environment big data application module;
(2) the system is provided with the screening and physical examination module, can detect the ecological basic condition through the acquisition module, can perform large-range and high-definition general investigation through satellite remote sensing, can perform key detailed investigation on key areas through the unmanned aerial vehicle, can compare the previous ecological condition through the comparison module, and can analyze the ecological pollution condition through the analysis module;
(3) by arranging the etiology diagnosis module and establishing a water quality inversion model, a geological classification model, a target identification model and a pollution load model through the water quality inversion module, the geological classification module, the target identification module and the pollution load module, the source of pollution can be searched, and accurate source treatment is facilitated;
(4) the management scheme of the short-term management and control module can be used for patrolling and intercepting the drainage port, the off-peak discharge management scheme of the breeding tail water, the drainage management and control scheme of the sluice port and the farmland water discharge and recycling management scheme;
(5) through being provided with the module of effecting a permanent cure for a long time, can concentrate unified the processing to the industrial pollution source through industrial sewage treatment module, can administer domestic sewage through domestic sewage module, can administer through the aquatic products processing module aquatic products pollution source, can administer tributary, the pollution source that the drain runs and emits the drippage through the drippage processing module.
Drawings
FIG. 1 is a block diagram of the present invention;
FIG. 2 is a block diagram of the screening and physical examination module of FIG. 1;
FIG. 3 is a block diagram of the etiology diagnosis module of FIG. 1;
FIG. 4 is a block diagram of a short term management module of FIG. 1;
fig. 5 is a block diagram of the long term radical module of fig. 1.
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. 1-5, fig. 1 is a block diagram of the present invention; FIG. 2 is a block diagram of the screening and physical examination module of FIG. 1; FIG. 3 is a block diagram of the etiology diagnosis module of FIG. 1; FIG. 4 is a block diagram of a short term management module of FIG. 1; FIG. 5 is a block diagram of a long-term radical treatment module in FIG. 1, and an intelligent surface water treatment system, which is characterized by comprising a central processing module, an ecological environment sensing module, an ecological environment storage module, an ecological environment big data application module and an accurate treatment module, wherein the ecological environment sensing module is connected with the central processing module, the ecological environment storage module is connected with the central processing module, the ecological environment big data application module is connected with the central processing module, the accurate treatment module comprises a screening and physical examination module, a cause diagnosis module and a treatment module, the screening and physical examination module is connected with the accurate treatment module, the cause diagnosis module is connected with the accurate treatment module, the treatment module is connected with the accurate treatment module, and the treatment module comprises a short-term management and control module and a long-term radical treatment module, the short-term management and control module is connected with the treatment module, and the long-term radical treatment module is connected with the treatment module.
The screening and physical examination module comprises an acquisition module, a comparison module, a satellite image module and an analysis module, wherein the comparison module is connected with the acquisition module, the satellite image module is connected with the comparison module, and the analysis module is connected with the satellite image module.
The etiology diagnosis module comprises a water quality inversion module, a geological classification module, a target identification module, a pollution load module and a pollution source tracing module, wherein the geological classification module is connected with the water quality inversion module, the target identification module is connected with the geological classification module, the pollution load module is connected with the target identification module, and the pollution source tracing module is connected with the pollution load module.
The short-term management and control module comprises a peak staggering emission module, a gate waterlogging drainage management and control module and an agricultural water return module, the peak staggering emission module is connected with the peak staggering emission module, the gate waterlogging drainage management and control module is connected with the peak staggering emission module, and the agricultural water return module is connected with the gate waterlogging drainage management and control module.
The long-term radical treatment module comprises an industrial sewage treatment module, a domestic sewage treatment module, an aquatic product treatment module and a dripping treatment module, wherein the domestic sewage treatment module is connected with the industrial sewage treatment module, the aquatic product treatment module is connected with the domestic sewage treatment module, and the dripping treatment module is connected with the aquatic product treatment module.
The acquisition module includes satellite remote sensing, unmanned aerial vehicle, carries out on a large scale through satellite remote sensing, and high definition general investigation carries out key detail investigation to the key region through unmanned aerial vehicle.
The short-term management and control module comprises integrated equipment, an aerator, a biological agent, an ecological soft enclosure and ecological water supplement.
The domestic sewage treatment comprises official network construction, rain and sewage diversion and ecological ditches.
In summary, according to the intelligent surface water treatment system provided by the invention, the ecological environment can be collected by the ecological environment sensing module, the collected data can be stored by the ecological environment storage module, the data can be analyzed by the ecological environment big data application module, the ecological basic condition can be detected by the collection module by the screening and physical examination module, the large-range and high-definition general examination is performed by satellite remote sensing, the key area is subjected to the key detail examination by the unmanned aerial vehicle, the previous ecological condition can be compared by the comparison module, and the ecological pollution condition can be analyzed by the analysis module;
by arranging the etiology diagnosis module and establishing a water quality inversion model, a geological classification model, a target identification model and a pollution load model through the water quality inversion module, the geological classification module, the target identification module and the pollution load module, thereby being capable of searching the source of pollution and facilitating accurate source treatment, being capable of patrolling and intercepting a management scheme for a drainage port, a management scheme for staggered peak discharge of culture tail water, a management scheme for sluice port drainage and control scheme for farmland drainage and recycling management scheme, by arranging the long-term radical treatment module, the industrial sewage treatment module can intensively and uniformly treat the industrial pollution source, can administer domestic sewage through domestic sewage module, can administer the aquatic products pollution sources through the aquatic products processing module, can administer tributary, drain outlet escape and drip pollution sources through the drippage processing module.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. An intelligent surface water treatment system is characterized by comprising a central processing module, an ecological environment sensing module, an ecological environment storage module, an ecological environment big data application module and a precise treatment module, wherein the ecological environment sensing module is connected with the central processing module, the ecological environment storage module is connected with the central processing module, the ecological environment big data application module is connected with the central processing module, the precise treatment module comprises a screening and physical examination module, a cause diagnosis module and a treatment module, the screening and physical examination module is connected with the precise treatment module, the cause diagnosis module is connected with the precise treatment module, the treatment module is connected with the precise treatment module, and the treatment module comprises a short-term management and control module and a long-term radical treatment module, the short-term management and control module is connected with the treatment module, and the long-term radical treatment module is connected with the treatment module.
2. The system of claim 1, wherein the screening and physical examination module comprises an acquisition module, a comparison module, a satellite image module and an analysis module, the comparison module is connected with the acquisition module, the satellite image module is connected with the comparison module, and the analysis module is connected with the satellite image module.
3. The system according to claim 1, wherein the etiology diagnosis module comprises a water quality inversion module, a geological classification module, a target identification module, a pollution load module and a pollution source tracing module, the geological classification module is connected with the water quality inversion module, the target identification module is connected with the geological classification module, the pollution load module is connected with the target identification module, and the pollution source tracing module is connected with the pollution load module.
4. The system according to claim 1, wherein the short-term management and control module comprises a peak staggering emission module, a gate drainage management and control module and an agricultural drainage module, the peak staggering emission module is connected with the peak staggering emission module, the gate drainage management and control module is connected with the peak staggering emission module, and the agricultural drainage module is connected with the gate drainage management and control module.
5. The intelligent treatment system for surface water as claimed in claim 1, wherein the long-term radical treatment module comprises an industrial sewage treatment module, a domestic sewage treatment module, an aquatic product treatment module and a dripping treatment module, the domestic sewage treatment module is connected with the industrial sewage treatment module, the aquatic product treatment module is connected with the domestic sewage treatment module, and the dripping treatment module is connected with the aquatic product treatment module.
6. The intelligent treatment system for surface water as claimed in claim 2, wherein the acquisition module comprises satellite remote sensing and an unmanned aerial vehicle, the satellite remote sensing is used for large-range and high-definition general survey, and the unmanned aerial vehicle is used for detailed survey of key areas.
7. The intelligent surface water treatment system of claim 1, wherein the short-term management and control module comprises an integrated device, an aerator, a biological agent, an ecological soft enclosure and ecological water supplement.
8. The intelligent surface water treatment system according to claim 5, wherein the domestic sewage treatment comprises official network construction, rain and sewage diversion and ecological ditches.
CN202111296129.8A 2021-11-03 2021-11-03 Intelligent surface water treatment system Pending CN113896331A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108982792A (en) * 2018-06-05 2018-12-11 北京蓝尊科技有限公司 A kind of ECOLOGICAL ENVIRONMENTAL MONITORING supervisory systems
CN109242291A (en) * 2018-08-28 2019-01-18 天津大学 River and lake basin water environment wisdom management method
CN112541028A (en) * 2020-11-30 2021-03-23 重庆市生态环境大数据应用中心 Water environment big data monitoring system and method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108982792A (en) * 2018-06-05 2018-12-11 北京蓝尊科技有限公司 A kind of ECOLOGICAL ENVIRONMENTAL MONITORING supervisory systems
CN109242291A (en) * 2018-08-28 2019-01-18 天津大学 River and lake basin water environment wisdom management method
CN112541028A (en) * 2020-11-30 2021-03-23 重庆市生态环境大数据应用中心 Water environment big data monitoring system and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
丁志良等: "《城市大型湖泊水环境综合治理规划研究》", 长江出版社, pages: 164 - 169 *

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