CN110702867A - Bacterial-algae sewage treatment operation parameter trend analysis method - Google Patents
Bacterial-algae sewage treatment operation parameter trend analysis method Download PDFInfo
- Publication number
- CN110702867A CN110702867A CN201910963315.9A CN201910963315A CN110702867A CN 110702867 A CN110702867 A CN 110702867A CN 201910963315 A CN201910963315 A CN 201910963315A CN 110702867 A CN110702867 A CN 110702867A
- Authority
- CN
- China
- Prior art keywords
- trend
- sewage
- sewage treatment
- curve
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Activated Sludge Processes (AREA)
Abstract
The invention discloses a method for analyzing the trend of operating parameters of bacterial-algae sewage treatment, which comprises an information acquisition module, an information analysis module, a trend display module and an early warning module, wherein the information acquisition module is called to acquire information of sewage in a sewage treatment tank to obtain sewage parameter information; inputting sewage parameter information into an information analysis module, and calculating a sewage treatment purification value; the early warning module sends out early warning information under the condition that the treatment purification value of the sewage exceeds a set threshold value; the trend display module collects the treatment purification value of the sewage, makes a trend curve according to the time period and simultaneously displays the trend curve. According to the method for analyzing the trend of the operating parameters of the algae sewage treatment, two different trend curves are constructed, and the two trend curves can be used for accurately positioning to a certain time period when the sewage treatment is abnormal, so that the search range of query is narrowed, the search speed is increased, and the search efficiency is improved.
Description
Technical Field
The invention relates to the field of sewage treatment, in particular to a method for analyzing the trend of operating parameters of bacteria and algae sewage treatment.
Background
Sewage treatment is a process for purifying sewage to meet the water quality requirement of discharging the sewage into a certain water body or reusing the sewage, is widely applied to various fields such as buildings, agriculture, traffic, energy, petrifaction, environmental protection, urban landscape, medical treatment, catering and the like, and increasingly enters the daily life of common people;
the method for analyzing the trend of the operating parameters of the bacterial-algae sewage treatment is a method for analyzing the operating parameters of the sewage treatment when sewage is treated by a bacterial-algae symbiotic method, and the existing method for analyzing the operating parameters of the sewage treatment has the following defects:
(1) the abnormal sewage treatment cannot be found in time;
(2) the effect of sewage treatment cannot be intuitively understood;
(3) and it is difficult to accurately find the reason when the sewage treatment is abnormal.
Disclosure of Invention
The invention mainly aims to provide a method for analyzing the trend of operating parameters of bacterial-algae sewage treatment, which can effectively solve the problems in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
the utility model provides a fungus algae sewage treatment operation parameter trend analysis method, includes information acquisition module, information analysis module, trend display module and early warning module, its characterized in that:
the system comprises a calling information acquisition module, a data acquisition module and a data processing module, wherein the calling information acquisition module is used for acquiring information of sewage in a sewage treatment tank to obtain sewage parameter information;
inputting sewage parameter information into an information analysis module, and calculating a sewage treatment purification value;
the early warning module sends out early warning information under the condition that the treatment purification value of the sewage exceeds a set threshold value;
the trend display module collects the treatment purification value of the sewage, makes a trend curve according to the time period and simultaneously displays the trend curve.
Preferably, the method for calculating the treatment purification value of the sewage specifically comprises the following steps:
x, Y, Z are respectively set as harmful substances to be treated in the sewage;
taking sewage with the mass of N, and detecting the content of X, Y, Z in the sewage respectively as follows: n is a radical ofX、NY、NZ；
The treatment purification value of sewage S = [1- (N)X+NY+NZ）]/N。
Preferably, the threshold value of the treatment purification value of the sewage is SThreshold(s)If S is<SThreshold(s)If the sewage treatment is not up to the standard, the early warning module sends out early warning information.
Preferably, the trend display module comprises a storage module for storing the treatment purification values of the sewage to form a database, wherein the database comprises a plurality of tables, and each table is formed by the treatment purification values of the sewage in one period.
Preferably, the trend curves comprise two trend curves, wherein one trend curve is constructed according to the sewage treatment purification values in a table in the database in a fixed time sequence, and the trend curve is a sub-trend curve; the other trend curve is constructed according to the average value of the sewage treatment purification values in a plurality of tables in the database in a fixed time sequence, and the trend curve is a mother trend curve.
Preferably, the trend display module specifically displays the following processes:
setting the number of tables shared in the database as i, wherein each table contains n data, and the data in the tables is S1、S2、S3……Sn；
The trend curve of each table is represented by S1、S2、S3……SnA curve formed by data, namely a sub-trend curve;
the trend curves of all tables are represented by (S)1+S2+S3……+Sn）/n-1、（S1+S2+S3……+Sn）/n-2……（S1+S2+S3……+Sn) A curve formed by the/n-i data, namely a parent trend curve;
the trend display module displays the master curve in the ascending region, and when the corresponding position in the master curve is clicked, the trend display module displays the sub-trend curve of the position in the descending region.
Preferably, the values of n-1, n-2 … … n-i are all n, wherein suffixes-1, -2 … … -i are all used to mark corresponding tables.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, the early warning module is added, and the early warning module sends out early warning information under the condition that the treatment purification value of the sewage exceeds the set threshold, so that a worker in sewage treatment can know the abnormal condition in the sewage treatment process in time, the abnormal condition can be treated in time, the condition that the sewage treatment does not reach the standard and is discharged is avoided, and the sewage treatment is more thorough;
the trend display module can automatically collect the parameter information of the sewage in the sewage treatment process, namely the treatment and purification value information of the sewage, and can edit the treatment and purification value information of the sewage into a trend curve graph, so that people can conveniently and visually know the treatment and purification effect of the sewage and predict the treatment and purification effect of the subsequent sewage;
the trend curve of the sewage in the invention comprises two types, wherein one type is a sub-trend curve which is constructed according to the sewage treatment purification values in a table in a database and in fixed time sequence; the other trend curve is a mother trend curve which is constructed according to the average value of the sewage treatment purification values in a plurality of tables in the database and arranged according to fixed time, wherein the mother trend curve can intuitively reflect the trend of the sewage treatment purification values in a large time period, the sub trend curve can intuitively reflect the trend of the sewage treatment purification values in a certain small time period in the mother trend curve, and the two trend curves can be used for accurately positioning to a certain time period when the sewage treatment is abnormal, so that the search range of the query is narrowed, the search speed is increased, the search efficiency is improved, and the abnormal reason is conveniently found out.
Drawings
FIG. 1 is a flow chart of the trend analysis method for operating parameters of bacterial-algae sewage treatment.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
A method for analyzing the trend of operating parameters of bacterial-algae sewage treatment comprises an information acquisition module, an information analysis module, a trend display module and an early warning module,
the system comprises a calling information acquisition module, a data acquisition module and a data processing module, wherein the calling information acquisition module is used for acquiring information of sewage in a sewage treatment tank to obtain sewage parameter information;
inputting sewage parameter information into an information analysis module, and calculating a sewage treatment purification value;
the early warning module sends out early warning information under the condition that the treatment purification value of the sewage exceeds a set threshold value;
the trend display module collects the treatment purification value of the sewage, makes a trend curve according to the time period and simultaneously displays the trend curve.
Example 1
A method for analyzing the trend of operating parameters of bacterial-algae sewage treatment comprises an information acquisition module, an information analysis module, a trend display module and an early warning module,
the system comprises a calling information acquisition module, a data acquisition module and a data processing module, wherein the calling information acquisition module is used for acquiring information of sewage in a sewage treatment tank to obtain sewage parameter information;
inputting sewage parameter information into an information analysis module, and calculating a sewage treatment purification value;
the early warning module sends out early warning information under the condition that the treatment purification value of the sewage exceeds a set threshold value;
the trend display module collects the treatment purification value of the sewage, makes a trend curve according to the time period and simultaneously displays the trend curve.
The method for calculating the sewage treatment purification value specifically comprises the following steps:
x, Y, Z are respectively set as harmful substances to be treated in the sewage;
taking sewage with the mass of N, and detecting the content of X, Y, Z in the sewage respectively as follows: n is a radical ofX、NY、NZ；
The treatment purification value of sewage S = [1- (N)X+NY+NZ）]/N。
The threshold value of the treatment purification value of the sewage is SThreshold(s)If S is<SThreshold(s)If the sewage treatment is not up to the standard, the early warning module sends out early warning information.
The trend display module comprises a storage module for storing the treatment purification values of the sewage to form a database, wherein the database comprises a plurality of tables, and each table is composed of the treatment purification values of the sewage in one period.
By adopting the technical scheme:
the invention adds the early warning module, and the early warning module sends out early warning information under the condition that the treatment purification value of the sewage exceeds the set threshold value, so that the workers in the sewage treatment can know the abnormal condition in the sewage treatment process in time, the abnormal condition can be treated in time, the condition that the sewage treatment does not reach the standard and is discharged is avoided, and the sewage treatment is more thorough.
Example 2
Based on the technical scheme of the embodiment 1, the method for analyzing the trend of the operating parameters of the bacterial-algae sewage treatment comprises an information acquisition module, an information analysis module, a trend display module and an early warning module,
the system comprises a calling information acquisition module, a data acquisition module and a data processing module, wherein the calling information acquisition module is used for acquiring information of sewage in a sewage treatment tank to obtain sewage parameter information;
inputting sewage parameter information into an information analysis module, and calculating a sewage treatment purification value;
the early warning module sends out early warning information under the condition that the treatment purification value of the sewage exceeds a set threshold value;
the trend display module collects the treatment purification value of the sewage, makes a trend curve according to the time period and simultaneously displays the trend curve.
The trend curves comprise two trend curves, wherein one trend curve is constructed according to the sewage treatment purification values in a table in the database in a fixed time sequence, and the trend curve is a sub-trend curve; the other trend curve is constructed according to the average value of the sewage treatment purification values in a plurality of tables in the database in a fixed time sequence, and the trend curve is a mother trend curve.
The trend display module specifically displays the following processes:
setting the number of tables shared in the database as i, wherein each table contains n data, and the data in the tables is S1、S2、S3……Sn；
The trend curve of each table is represented by S1、S2、S3……SnA curve formed by data, namely a sub-trend curve;
the trend curves of all tables are represented by (S)1+S2+S3……+Sn）/n-1、（S1+S2+S3……+Sn）/n-2……（S1+S2+S3……+Sn) A curve formed by the/n-i data, namely a parent trend curve;
the trend display module displays the master curve in the ascending region, and when the corresponding position in the master curve is clicked, the trend display module displays the sub-trend curve of the position in the descending region.
The numerical values of n-1 and n-2 … … n-i are all n, wherein-1 and-2 … … -i of suffixes are all used for marking corresponding tables.
By adopting the technical scheme:
the trend display module can automatically collect the parameter information of the sewage in the sewage treatment process, namely the treatment and purification value information of the sewage, and can edit the treatment and purification value information of the sewage into a trend curve graph, so that people can conveniently and visually know the treatment and purification effect of the sewage and predict the treatment and purification effect of the subsequent sewage;
the trend curve of the sewage in the invention comprises two types, wherein one type is a sub-trend curve which is constructed according to the sewage treatment purification values in a table in a database and in fixed time sequence; the other trend curve is a mother trend curve which is constructed according to the average value of the sewage treatment purification values in a plurality of tables in the database and arranged according to fixed time, wherein the mother trend curve can intuitively reflect the trend of the sewage treatment purification values in a large time period, the sub trend curve can intuitively reflect the trend of the sewage treatment purification values in a certain small time period in the mother trend curve, and the two trend curves can be used for accurately positioning to a certain time period when the sewage treatment is abnormal, so that the search range of the query is narrowed, the search speed is increased, and the search efficiency is improved.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. The utility model provides a fungus algae sewage treatment operation parameter trend analysis method, includes information acquisition module, information analysis module, trend display module and early warning module, its characterized in that:
the system comprises a calling information acquisition module, a data acquisition module and a data processing module, wherein the calling information acquisition module is used for acquiring information of sewage in a sewage treatment tank to obtain sewage parameter information;
inputting sewage parameter information into an information analysis module, and calculating a sewage treatment purification value;
the early warning module sends out early warning information under the condition that the treatment purification value of the sewage exceeds a set threshold value;
the trend display module collects the treatment purification value of the sewage, makes a trend curve according to the time period and simultaneously displays the trend curve.
2. The bacteria and algae sewage treatment operation parameter trend analysis method according to claim 1, characterized in that: the method for calculating the sewage treatment purification value specifically comprises the following steps:
x, Y, Z are respectively set as harmful substances to be treated in the sewage;
taking sewage with the mass of N, and detecting the content of X, Y, Z in the sewage respectively as follows: n is a radical ofX、NY、NZ；
The treatment purification value of sewage S = [1- (N)X+NY+NZ）]/N。
3. The bacteria and algae sewage treatment operation parameter trend analysis method according to claim 2, characterized in that: the threshold value of the treatment purification value of the sewage is SThreshold(s)If S is<SThreshold(s)If the sewage treatment is not up to the standard, the early warning module sends out early warning information.
4. The bacteria and algae sewage treatment operation parameter trend analysis method according to claim 1, characterized in that: the trend display module comprises a storage module for storing the treatment purification values of the sewage to form a database, wherein the database comprises a plurality of tables, and each table is composed of the treatment purification values of the sewage in one period.
5. The bacteria and algae sewage treatment operation parameter trend analysis method according to claim 4, characterized in that: the trend curves comprise two trend curves, wherein one trend curve is constructed according to the sewage treatment purification values in a table in the database in a fixed time sequence, and the trend curve is a sub-trend curve; the other trend curve is constructed according to the average value of the sewage treatment purification values in a plurality of tables in the database in a fixed time sequence, and the trend curve is a mother trend curve.
6. The bacteria and algae sewage treatment operation parameter trend analysis method according to claim 1, characterized in that: the trend display module specifically displays the following processes:
setting the number of tables shared in the database as i, wherein each table contains n data, and the data in the tables is S1、S2、S3……Sn；
The trend curve of each table is represented by S1、S2、S3……SnA curve formed by data, namely a sub-trend curve;
the trend curves of all tables are represented by (S)1+S2+S3……+Sn）/n-1、（S1+S2+S3……+Sn）/n-2……（S1+S2+S3……+Sn) A curve formed by the/n-i data, namely a parent trend curve;
the trend display module displays the master curve in the ascending region, and when the corresponding position in the master curve is clicked, the trend display module displays the sub-trend curve of the position in the descending region.
7. The bacteria and algae sewage treatment operation parameter trend analysis method according to claim 6, characterized in that: the numerical values of n-1 and n-2 … … n-i are all n, wherein-1 and-2 … … -i of suffixes are all used for marking corresponding tables.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910963315.9A CN110702867A (en) | 2019-10-11 | 2019-10-11 | Bacterial-algae sewage treatment operation parameter trend analysis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910963315.9A CN110702867A (en) | 2019-10-11 | 2019-10-11 | Bacterial-algae sewage treatment operation parameter trend analysis method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110702867A true CN110702867A (en) | 2020-01-17 |
Family
ID=69199313
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910963315.9A Pending CN110702867A (en) | 2019-10-11 | 2019-10-11 | Bacterial-algae sewage treatment operation parameter trend analysis method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110702867A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114077941A (en) * | 2020-08-13 | 2022-02-22 | 上海腾美信息技术有限公司 | Environment-friendly information management system for enterprises and management method thereof |
| CN116628437A (en) * | 2023-04-13 | 2023-08-22 | 南京轩果基础建筑工程有限公司 | Data monitoring method for sewage circulation deep purification treatment |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101751016A (en) * | 2008-12-17 | 2010-06-23 | 王晓东 | Production process remote intelligent automatic central control system software for sewage treatment plant |
| CN102591284A (en) * | 2012-02-20 | 2012-07-18 | 哈尔滨工业大学 | Sewage treatment engineering monitoring system based on wireless sensor network |
| CN103257621A (en) * | 2012-12-24 | 2013-08-21 | 北京万维盈创科技发展有限公司 | Pollution source discharging working condition monitoring device |
| CN205091589U (en) * | 2015-10-29 | 2016-03-16 | 富钧开发工程股份有限公司 | Monitoring system for sewage treatment |
| CN205134483U (en) * | 2015-11-06 | 2016-04-06 | 武汉新天达美环境科技有限公司 | A water pipe accuse system for coal industry sewage treatment |
| CN205594403U (en) * | 2016-05-18 | 2016-09-21 | 浙江爱迪曼环保科技股份有限公司 | Rural sewage treatment station remote management monitored control system based on cloud platform |
| CN106569453A (en) * | 2016-08-29 | 2017-04-19 | 湖南永清水务有限公司 | Sewage treatment plant intelligent management system |
| CN206395937U (en) * | 2017-01-20 | 2017-08-11 | 北京正和恒基城市规划设计研究院有限公司 | Intelligent remote monitoring solar direct current is aerated artificial wet land system |
| CN109064048A (en) * | 2018-08-14 | 2018-12-21 | 时代华瑞（北京）环境科技有限公司 | Quickly check method and system in discharge of wastewater source based on wastewater treatment process analysis |
| CN208351320U (en) * | 2018-07-04 | 2019-01-08 | 天津市绿通环保工程设备开发有限公司 | Sewage treatment teledata acquisition device |
| CN208588936U (en) * | 2018-09-10 | 2019-03-08 | 中建八局第一建设有限公司 | A kind of monitoring system in waste water processing |
-
2019
- 2019-10-11 CN CN201910963315.9A patent/CN110702867A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101751016A (en) * | 2008-12-17 | 2010-06-23 | 王晓东 | Production process remote intelligent automatic central control system software for sewage treatment plant |
| CN102591284A (en) * | 2012-02-20 | 2012-07-18 | 哈尔滨工业大学 | Sewage treatment engineering monitoring system based on wireless sensor network |
| CN103257621A (en) * | 2012-12-24 | 2013-08-21 | 北京万维盈创科技发展有限公司 | Pollution source discharging working condition monitoring device |
| CN205091589U (en) * | 2015-10-29 | 2016-03-16 | 富钧开发工程股份有限公司 | Monitoring system for sewage treatment |
| CN205134483U (en) * | 2015-11-06 | 2016-04-06 | 武汉新天达美环境科技有限公司 | A water pipe accuse system for coal industry sewage treatment |
| CN205594403U (en) * | 2016-05-18 | 2016-09-21 | 浙江爱迪曼环保科技股份有限公司 | Rural sewage treatment station remote management monitored control system based on cloud platform |
| CN106569453A (en) * | 2016-08-29 | 2017-04-19 | 湖南永清水务有限公司 | Sewage treatment plant intelligent management system |
| CN206395937U (en) * | 2017-01-20 | 2017-08-11 | 北京正和恒基城市规划设计研究院有限公司 | Intelligent remote monitoring solar direct current is aerated artificial wet land system |
| CN208351320U (en) * | 2018-07-04 | 2019-01-08 | 天津市绿通环保工程设备开发有限公司 | Sewage treatment teledata acquisition device |
| CN109064048A (en) * | 2018-08-14 | 2018-12-21 | 时代华瑞（北京）环境科技有限公司 | Quickly check method and system in discharge of wastewater source based on wastewater treatment process analysis |
| CN208588936U (en) * | 2018-09-10 | 2019-03-08 | 中建八局第一建设有限公司 | A kind of monitoring system in waste water processing |
Non-Patent Citations (2)
| Title |
|---|
| 苏琴: "水质自动监测技术在鄂尔多斯市污水处理厂的应用研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》 * |
| 道客巴巴: "城镇污水处理厂污染源排放过程(工况)监控技术指南 （审定稿）", 《HTTP://WWW.DOC88.COM/P-2681527671703.HTML》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114077941A (en) * | 2020-08-13 | 2022-02-22 | 上海腾美信息技术有限公司 | Environment-friendly information management system for enterprises and management method thereof |
| CN116628437A (en) * | 2023-04-13 | 2023-08-22 | 南京轩果基础建筑工程有限公司 | Data monitoring method for sewage circulation deep purification treatment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110702867A (en) | Bacterial-algae sewage treatment operation parameter trend analysis method | |
| CN106600509B (en) | Method for analyzing and judging water exchange and pollution discharge behaviors of enterprise based on basic data | |
| CN107640824B (en) | OUR-based real-time sewage toxicity early warning system and using method thereof | |
| CN204044098U (en) | A kind of heavy metal industrial effluent discharge beyond standards anticipation and sample-leaving system | |
| CN116562580A (en) | Waste water and waste gas treatment system and method for lithium carbonate production workshop | |
| CN109085296B (en) | Judge that ozone generates sensibility and precursor control method, device, storage medium, terminal | |
| CN114358972A (en) | Intelligent water affair comprehensive intelligent management method, cloud system and storage medium | |
| CN111186878A (en) | Method, device and system for realizing regulation of ultrafiltration circulating pump through neural network | |
| CN116495808A (en) | Control method of garbage concentrated solution treatment equipment | |
| CN107540100A (en) | A kind of activated sludge bulking prewarning analysis system and its application method based on OUR | |
| CN105868457A (en) | Modeling method for nitrous oxide kinetic model in sewage biological denitrification process | |
| CN112945822A (en) | Atmospheric environment microbial aerosol monitoring method | |
| CN108305018B (en) | Accurate clean production benefit evaluation system of evaluation | |
| CN205627558U (en) | Plasma photocatalyst exhaust gas purification device | |
| Mao | Diagnosis and assessment on vulnerability of the urban flood-waterlogged disaster in Hunan Province | |
| CN204705631U (en) | For the device of heavy metal containing sewage dead fish accident Preliminary Identification | |
| CN204251401U (en) | A kind of chemical experiment waste liquid retrieving arrangement | |
| CN203653385U (en) | Hospital wastewater treatment system | |
| CN203971692U (en) | A kind of acid waste gas absorption tower | |
| CN109189771A (en) | It is a kind of based on offline and on-line talking model data library cleaning method | |
| CN204958679U (en) | Sewage treatment device | |
| CN207091217U (en) | A kind of heavy metal wastewater treatment apparatus | |
| CN205516727U (en) | Holding vessel of purifying waste water recycles | |
| CN103115855A (en) | Method for measuring activity of anaerobic ammonia oxidation granule sludge | |
| CN208517211U (en) | A kind of water body detection cleaning equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200117 |
|
| RJ01 | Rejection of invention patent application after publication |