CN205449970U - Water pollution synthesizes intelligent early warning device based on thing networking - Google Patents
Water pollution synthesizes intelligent early warning device based on thing networking Download PDFInfo
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- CN205449970U CN205449970U CN201521142608.4U CN201521142608U CN205449970U CN 205449970 U CN205449970 U CN 205449970U CN 201521142608 U CN201521142608 U CN 201521142608U CN 205449970 U CN205449970 U CN 205449970U
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Abstract
The utility model discloses a water pollution synthesizes intelligent early warning device based on thing networking, which comprises a controller, the input of controller is connected with water quality detection sensor's output electricity, the two -way electricity of controller is connected with the memory, the input of memory is connected with signal transmission module's output electricity, signal transmission module's input is connected with the output electricity of thing networking. The device passes through thing networking and signal transmission module's cooperation, can all send official various indexs to the memory in, reach the effect of accessible time updating various indexs, and the device accessible time knows suspended solid concentration in this waters, the salinity, the pH value, whether ammonia chlorine concentration and nitrogen phosphorus concentration a certain be up to standard, the device passes through the the first feedback module, the cooperation of controller, can make buzzer alarm send out the police dispatch newspaper, light the signal lamp of corresponding colour in the alarm indicating lamp, thereby reach the effect that water pollution synthesizes intelligent early warning.
Description
Technical field
This utility model relates to field of intelligent control technology, a kind of water pollution comprehensive intelligent prior-warning device based on Internet of Things.
Background technology
Along with day by day declining of quality of water environment and improving constantly of living standards of the people, Water quality problem increasingly becomes focus of attention.Such as, consuming the dissolved oxygen in water, affect the hydrobiological life such as Fish when the Organic substance in sewage is decomposed by the microorganisms, the acid in sewage, alkali, oxidant, the compound such as Yi Jitong, cadmium, hydrargyrum, arsenic can affect drinking water source.These problems are all related to everyone vital interests.If the water quality condition at water source around in time, in detail, intactly understanding, it is possible to take some measures in advance, it is to avoid the loss therefore brought.
Various indexs in existing water pollution comprehensive intelligent prior-warning device can not upgrade in time, the comparison work of each item data in inconvenient system, and existing water pollution comprehensive intelligent prior-warning device can only to detect whole water quality system the most up to standard, concentration of suspension in this waters can not be known in time, salinity, pH value, a certain item in ammonia cl concn and concentration of nitrogen and phosphorus is the most up to standard, the effect of water pollution comprehensive intelligent early warning can not be reached, inconvenient professional processes work accordingly to waters, for this, a kind of water pollution comprehensive intelligent prior-warning device based on Internet of Things is proposed.
Utility model content
The purpose of this utility model is to provide a kind of water pollution comprehensive intelligent prior-warning device based on Internet of Things, with the problem solving to propose in above-mentioned background technology.
For achieving the above object, this utility model following technical scheme of offer: a kind of water pollution comprehensive intelligent prior-warning device based on Internet of Things, including controller, the input of described controller electrically connects with the outfan of water quality detection sensor, described controller is two-way is electrically connected with memorizer, the input of described memorizer electrically connects with the outfan of signal transmission module, and the input of described signal transmission module electrically connects with the outfan of Internet of Things.
The outfan of described controller electrically connects with the input controlling node, the input of the outfan electrical connection comparing unit of described control node, the outfan of described comparing unit and the input electrical connection of the first feedback module, the described outfan of the first feedback module electrically connects with the input of controller, and the outfan of described controller electrically connects with the input of siren.
The outfan of described comparing unit also input with the second feedback module electrically connects, the input of the outfan electrical connection microprocessor of described second feedback module, the outfan of described microprocessor electrically connects with the input of logging modle, the input of the outfan electrical connection memorizer of described logging modle.
Preferably, described water quality detection sensor includes concentration of suspension detection module, salinity measurement module, pH value detection module, ammonia cl concn detection module and concentration of nitrogen and phosphorus detection module.
Preferably, described control node includes control node one, control node two, control node three, control node four and controls node five, and the input of described control node one, control node two, control node three, control node four and control node five all electrically connects with the outfan of controller.
Preferably, described comparing unit includes concentration of suspension comparing module, salinity comparing module, pH value comparing module, ammonia cl concn comparing module and concentration of nitrogen and phosphorus comparing module.
Preferably, described control node one, control node two, control node three, control node four and control the outfan input with concentration of suspension comparing module, salinity comparing module, pH value comparing module, ammonia cl concn comparing module and concentration of nitrogen and phosphorus comparing module respectively of node five and electrically connect.
Preferably, described siren includes warning indicator light and buzzer siren, and described warning indicator light includes red eye, greensignal light, purple signal lights, amber lamp and blue signal lamp, described red eye, greensignal light, purple signal lights, amber lamp and blue signal lamp are corresponding with float concentration, salinity, pH value, ammonia cl concn and concentration of nitrogen and phosphorus respectively.
Preferably, described memorizer includes index memory element, and described index memory element includes concentration of suspension index memory module, salinity index memory module, pH value index memory module, ammonia cl concn index memory module and concentration of nitrogen and phosphorus index memory module.
nullCompared with prior art，The beneficial effects of the utility model are: should pass through Internet of Things and the cooperation of signal transmission module by water pollution comprehensive intelligent prior-warning device based on Internet of Things，Can be by various indexs (the concentration of suspension index of official、Salinity index、PH value index、Ammonia cl concn index and concentration of nitrogen and phosphorus index) all send to memorizer，Reach to upgrade in time the effect of various index，Pass through controller again、Memorizer、Water quality detection sensor、Control node and the cooperation of data comparing unit，Concentration of suspension in this waters can be known in time、Salinity、PH value、Ammonia cl concn and concentration of nitrogen and phosphorus are the most up to standard，If comparison shows the most up to standard，Then by the first feedback module、The cooperation of controller，Buzzer alarm is made to send alarm，And light the signal lights of respective color in warning indicator light，Thus reach the effect of water pollution comprehensive intelligent early warning，Facilitate professional that waters processes work accordingly，Secondly，Comparison show the most up to standard after，This device is also by comparing unit、Second feedback module、Microprocessor、Logging modle and the cooperation of memorizer，Data the most up to standard and time of origin can be recorded in time，Professional is facilitated to carry out the process work of respective degrees according to data.
Accompanying drawing explanation
Fig. 1 is this utility model structural representation；
The schematic diagram of Fig. 2 position this utility model index memory element；
The schematic diagram of Fig. 3 position this utility model warning indicator light.
Detailed description of the invention
Below in conjunction with the accompanying drawing in this utility model embodiment, the technical scheme in this utility model embodiment is clearly and completely described, it is clear that described embodiment is only a part of embodiment of this utility model rather than whole embodiments.Based on the embodiment in this utility model, the every other embodiment that those of ordinary skill in the art are obtained under not making creative work premise, broadly fall into the scope of this utility model protection.
nullRefer to Fig. 1-3，A kind of technical scheme of this utility model offer: a kind of water pollution comprehensive intelligent prior-warning device based on Internet of Things，Including controller，The input of controller electrically connects with the outfan of water quality detection sensor，Water quality detection sensor includes concentration of suspension detection module、Salinity measurement module、PH value detection module、Ammonia cl concn detection module and concentration of nitrogen and phosphorus detection module，And water quality detection sensor is arranged on the correct position in waters，Controller is two-way is electrically connected with memorizer，Memorizer includes index memory element，And described index memory element includes concentration of suspension index memory module、Salinity index memory module、PH value index memory module、Ammonia cl concn index memory module and concentration of nitrogen and phosphorus index memory module，The input of memorizer electrically connects with the outfan of signal transmission module，The input of signal transmission module electrically connects with the outfan of Internet of Things，By Internet of Things and the cooperation of signal transmission module，Can be by concentration of suspension index in this waters、Salinity index、PH value index、Ammonia cl concn index and concentration of nitrogen and phosphorus index all send to memorizer.
nullThe outfan of controller electrically connects with the input controlling node，Control the input of the outfan electrical connection comparing unit of node，The outfan of comparing unit and the input electrical connection of the first feedback module，The outfan of the first feedback module electrically connects with the input of controller，The outfan of controller electrically connects with the input of siren，Siren includes warning indicator light and buzzer siren，And described warning indicator light includes red eye、Greensignal light、Purple signal lights、Amber lamp and blue signal lamp，Described red eye、Greensignal light、Purple signal lights、Amber lamp and blue signal lamp respectively with float concentration、Salinity、PH value、Ammonia cl concn and concentration of nitrogen and phosphorus are corresponding，Show not to time defective at comparing unit，This device passes through the first feedback module、The cooperation of controller，Buzzer alarm is made to send alarm，And light the signal lights of respective color in warning indicator light，Thus reach the effect of water pollution comprehensive intelligent early warning，Facilitate professional that waters processes work accordingly.
nullControl node to include controlling node one、Control node two、Control node three、Control node four and control node five，And described control node one、Control node two、Control node three、The input controlling node four and control node five all electrically connects with the outfan of controller，Comparing unit includes concentration of suspension comparing module、Salinity comparing module、PH value comparing module、Ammonia cl concn comparing module and concentration of nitrogen and phosphorus comparing module，Control node one、Control node two、Control node three、Control node four and control the outfan of node five respectively with concentration of suspension comparing module、Salinity comparing module、PH value comparing module、The input electrical connection of ammonia cl concn comparing module and concentration of nitrogen and phosphorus comparing module，Pass through controller、Memorizer、Water quality detection sensor、Control node and the cooperation of data comparing unit，Concentration of suspension in this waters can be known in time、Salinity、PH value、Ammonia cl concn and concentration of nitrogen and phosphorus are the most up to standard.
The outfan of comparing unit also input with the second feedback module electrically connects, the input of the outfan electrical connection microprocessor of the second feedback module, the outfan of microprocessor electrically connects with the input of logging modle, the input of the outfan electrical connection memorizer of logging modle, in comparing unit after comparison, if video data is the most up to standard, then this device passes through comparing unit, second feedback module, microprocessor, logging modle and the cooperation of memorizer, data the most up to standard and time of origin can be recorded in time, professional is facilitated to carry out the process work of respective degrees according to data.
Embodiment the most of the present utility model, for the ordinary skill in the art, being appreciated that in the case of without departing from principle of the present utility model and spirit and these embodiments can carry out multiple change, revise, replace and modification, scope of the present utility model is defined by the appended claims and the equivalents thereof.
Claims (7)
1. a water pollution comprehensive intelligent prior-warning device based on Internet of Things, including controller, the input of described controller electrically connects with the outfan of water quality detection sensor, it is characterized in that: described controller is two-way is electrically connected with memorizer, the input of described memorizer electrically connects with the outfan of signal transmission module, and the input of described signal transmission module electrically connects with the outfan of Internet of Things；
The outfan of described controller electrically connects with the input controlling node, the input of the outfan electrical connection comparing unit of described control node, the outfan of described comparing unit and the input electrical connection of the first feedback module, the described outfan of the first feedback module electrically connects with the input of controller, and the outfan of described controller electrically connects with the input of siren；
The outfan of described comparing unit also input with the second feedback module electrically connects, the input of the outfan electrical connection microprocessor of described second feedback module, the outfan of described microprocessor electrically connects with the input of logging modle, the input of the outfan electrical connection memorizer of described logging modle.
A kind of water pollution comprehensive intelligent prior-warning device based on Internet of Things the most according to claim 1, it is characterised in that: described water quality detection sensor includes concentration of suspension detection module, salinity measurement module, pH value detection module, ammonia cl concn detection module and concentration of nitrogen and phosphorus detection module.
A kind of water pollution comprehensive intelligent prior-warning device based on Internet of Things the most according to claim 1, it is characterized in that: described control node includes control node one, control node two, control node three, control node four and controls node five, and the input of described control node one, control node two, control node three, control node four and control node five all electrically connects with the outfan of controller.
A kind of water pollution comprehensive intelligent prior-warning device based on Internet of Things the most according to claim 1, it is characterised in that: described comparing unit includes concentration of suspension comparing module, salinity comparing module, pH value comparing module, ammonia cl concn comparing module and concentration of nitrogen and phosphorus comparing module.
5. according to a kind of based on Internet of Things the water pollution comprehensive intelligent prior-warning device described in claim 3 and 4, it is characterised in that: described control node one, control node two, control node three, control node four and control the outfan input with concentration of suspension comparing module, salinity comparing module, pH value comparing module, ammonia cl concn comparing module and concentration of nitrogen and phosphorus comparing module respectively of node five and electrically connect.
A kind of water pollution comprehensive intelligent prior-warning device based on Internet of Things the most according to claim 1, it is characterized in that: described siren includes warning indicator light and buzzer siren, and described warning indicator light includes red eye, greensignal light, purple signal lights, amber lamp and blue signal lamp, described red eye, greensignal light, purple signal lights, amber lamp and blue signal lamp are corresponding with float concentration, salinity, pH value, ammonia cl concn and concentration of nitrogen and phosphorus respectively.
A kind of water pollution comprehensive intelligent prior-warning device based on Internet of Things the most according to claim 1, it is characterized in that: described memorizer includes index memory element, and described index memory element includes concentration of suspension index memory module, salinity index memory module, pH value index memory module, ammonia cl concn index memory module and concentration of nitrogen and phosphorus index memory module.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201521142608.4U CN205449970U (en) | 2015-12-31 | 2015-12-31 | Water pollution synthesizes intelligent early warning device based on thing networking |
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| CN201521142608.4U CN205449970U (en) | 2015-12-31 | 2015-12-31 | Water pollution synthesizes intelligent early warning device based on thing networking |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106338946A (en) * | 2016-10-17 | 2017-01-18 | 无锡市日升化工有限公司 | Ester wastewater processing intelligent monitoring system |
| CN107238688A (en) * | 2017-06-12 | 2017-10-10 | 南昌工程学院 | A kind of lake heavy metal pollution detecting system |
| CN107657348A (en) * | 2017-10-13 | 2018-02-02 | 上环境科技（金华）有限公司 | A kind of comprehensive water quality intelligent supervision method and its system based on Internet of Things |
| WO2018137062A1 (en) * | 2017-01-24 | 2018-08-02 | 广东兴达顺科技有限公司 | Big data-based robot alarm system and method |
| CN108469508A (en) * | 2018-06-05 | 2018-08-31 | 杭州杰富睿科技有限公司 | A kind of intelligent container for judging water quality |
| CN109019709A (en) * | 2018-07-20 | 2018-12-18 | 阳城国际发电有限责任公司 | A kind of thermal power plant's sewage disposal device intelligent fault diagnosis method |
| CN110470813A (en) * | 2019-09-25 | 2019-11-19 | 长沙市宇驰检测技术有限公司 | A kind of surface water quality monitoring system and method |
-
2015
- 2015-12-31 CN CN201521142608.4U patent/CN205449970U/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106338946A (en) * | 2016-10-17 | 2017-01-18 | 无锡市日升化工有限公司 | Ester wastewater processing intelligent monitoring system |
| WO2018137062A1 (en) * | 2017-01-24 | 2018-08-02 | 广东兴达顺科技有限公司 | Big data-based robot alarm system and method |
| CN107238688A (en) * | 2017-06-12 | 2017-10-10 | 南昌工程学院 | A kind of lake heavy metal pollution detecting system |
| CN107657348A (en) * | 2017-10-13 | 2018-02-02 | 上环境科技（金华）有限公司 | A kind of comprehensive water quality intelligent supervision method and its system based on Internet of Things |
| CN107657348B (en) * | 2017-10-13 | 2021-06-18 | 上一环境科技（金华）有限公司 | Omnibearing intelligent water quality supervision method and system based on Internet of things |
| CN108469508A (en) * | 2018-06-05 | 2018-08-31 | 杭州杰富睿科技有限公司 | A kind of intelligent container for judging water quality |
| CN109019709A (en) * | 2018-07-20 | 2018-12-18 | 阳城国际发电有限责任公司 | A kind of thermal power plant's sewage disposal device intelligent fault diagnosis method |
| CN110470813A (en) * | 2019-09-25 | 2019-11-19 | 长沙市宇驰检测技术有限公司 | A kind of surface water quality monitoring system and method |
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| C14 | Grant of patent or utility model | ||
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160810 Termination date: 20161231 |