CN103808904A - Method for globally monitoring odor pollution gas in real time - Google Patents
Method for globally monitoring odor pollution gas in real time Download PDFInfo
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- CN103808904A CN103808904A CN201410084226.4A CN201410084226A CN103808904A CN 103808904 A CN103808904 A CN 103808904A CN 201410084226 A CN201410084226 A CN 201410084226A CN 103808904 A CN103808904 A CN 103808904A
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Abstract
The invention discloses a method for globally monitoring odor pollution gas in real time, comprising the following steps: arranging a plurality of odor gas concentration detection devices for detecting concentration values of a plurality of odor gases; setting a remote control server for reading concentration value data of the plurality of odor gases; setting a MySQL database server, wherein the concentration value data of the plurality of odor gases is stored in the MySQL database server through the remote control server; setting an Apache Web server for computing OU values and odor strength values of the plurality of odor gases, wherein the user can look over the OU values and odor strength values of the plurality of odor gases through the website of the Apache Web server. The method disclosed by the invention is capable of obtaining accurate detection data without the influence of environment and human factor due to the setting of the odor gas concentration detection device, and the real-time odor information of each monitoring station can be obtained indoor due to the setting of the remote control server, the MySQL database server and the Apache Web server, so that the user can know the odor situation of each station very well without going out.
Description
Technical field
The present invention relates to the monitoring of dusty gas, be specifically related to the method for overall situation monitoring odor pollution in real time gas.
Background technology
Along with the development of China's economy, environmental problem is more and more outstanding, has wherein accounted for very large proportion about the complaint of odor pollution.All stimulate olfactory organ, cause that the smell of the unhappy sensation of people and infringement living environment is referred to as stench, and the material with foul odour is called as odorant pollutant.In order to administer odor pollution, first need to have reliable means and the method for monitoring odor pollution.The olfact of odorant is often very low, and this detects and increased difficulty to stench.The main method adopting is triangle odor bag method at present, this is a kind of artificial sense method of testing, and the method is easy to be subject to the impact of environmental factor, human factor, and result causes larger data deviation, this manual method cannot detect online in real time, has significant limitation.
Summary of the invention
Technical matters to be solved by this invention is to solve existing foul gas detection method to be easily subject to the impact of environmental factor and human factor and to produce larger data deviation, and cannot carry out the problem detecting in real time.
In order to solve the problems of the technologies described above, the technical solution adopted in the present invention is to provide a kind of overall situation monitors the method for odor pollution gas in real time, in the region that will monitor, be evenly arranged many foul gas concentration detection apparatus according to its sensing range, described foul gas concentration detection apparatus detects the concentration value of the multiple foul gas in its monitoring range in real time, Long-distance Control server is set, all foul gas concentration detection apparatus real-time Communication for Power in described Long-distance Control server and described region, read the concentration value data of the multiple foul gas that in described region, all foul gas concentration detection apparatus detect in real time, MySQL database server is set, the concentration value data of the multiple foul gas that described Long-distance Control server detects all foul gas concentration detection apparatus in the described region of reading in real time deposit in described MySQL database server, Apache Web server is set, the concentration value data of the multiple foul gas that described in described Apache Web server real time scan, in MySQL database server, in the described region of storage, all foul gas concentration detection apparatus detect in real time, and the concentration value of the multiple foul gas detecting in real time by all foul gas concentration detection apparatus in described region to calculate the comprehensive odor concentration value of multiple foul gas in described region be OU value and odor strength value, user checks OU value and the odor strength value of the multiple foul gas in described region by input the network address of described Apache Web server in web browser, and the OU value of described multiple foul gas and the mean value of odor strength value within the scope of certain hour.
In such scheme, described Long-distance Control server reads status information and the maintenance information of all foul gas concentration detection apparatus in described region in real time, and deposited in described MySQL database server, described Long-distance Control server is modified to the status information of the foul gas concentration detection apparatus in described region by the Web interface of described Apache Web server according to user's operation.
In such scheme, described MySQL database is the hierarchical relationship database from top to bottom of dividing by region.
The present invention, because be provided with foul gas concentration detection apparatus, do not allow to be subject to environment and human factor impact, can obtain detecting accurately data, again because be provided with Long-distance Control server, MySQL database server and Apache Web server, Long-distance Control server can carry out real-time Communication for Power with foul gas concentration detection apparatus, read the detection data of foul gas concentration detection apparatus and deposit in MySQL database server, user can be by inputting the detection data of Web network address real time inspection foul gas concentration detection apparatus of Apache Web server in web browser, so that environmental monitoring station can be in the real-time stench information of the each monitoring station of indoor acquisition, realizing stays indoors just can have at fingertips to the stench situation of each website.
Accompanying drawing explanation
Fig. 1 is workflow schematic diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in detail.
As shown in Figure 1, the overall situation provided by the invention is monitored the method for odor pollution gas in real time, comprises the following steps:
The computing method of OU value are as follows: the odor threshold of 8 class foul gas can be found, and the threshold extension rate of certain class foul gas equals the mensuration concentration of this composition, and the data that namely the online stench monitor of TP-II type sends over, divided by the odor threshold of this composition.And OU value is exactly the maximal value of getting the threshold extension rate of 8 class foul gas.
Odor strength is by Weber – Fechner law: S=K Log I+C calculates.Odor strength is linear relationship with the logarithm of odor concentration.In formula, S is exactly the odor strength that will calculate, and I is odor concentration, and two COEFFICIENT K and C are the constants drawing through a large amount of experiments.
Server program is contained in Linux server OS, also installs and configured PHP on server.Can use PHP, HTML, JavaScript carries out Web webpage development, real-time release stench condition information.
Step 5, Long-distance Control server 2 read status information and the maintenance information of all foul gas concentration detection apparatus 1 in region in real time, and deposited in MySQL database server 3, Long-distance Control server 2 is modified to the status information of the foul gas concentration detection apparatus 1 in region by the Web interface of Apache Web server 4 according to user's operation.
Long-distance Control server 2 can the online stench monitor of Long-distance Control TP-II type, such as remote opening, and remote power-off.The information of each the online stench monitor of TP-II type exists in MySQL database server 3, from MySQL database server 3, read the status information of each instrument by PHP program, once finding will be to the operation of starting shooting or shut down etc. of certain instrument, will send applicable instruction to corresponding instrument, thereby reach the object of remote on-off.Because some instrument may be placed in the place that people is inconvenient to touch, be not too applicable to people and remove execute-in-place, and just provide a great convenience by Web interface Long-distance Control.
The present invention, because be provided with foul gas concentration detection apparatus 1, do not allow to be subject to environment and human factor impact, can obtain detecting accurately data, again because be provided with Long-distance Control server 2, MySQL database server 3 and Apache Web server 4, Long-distance Control server 2 can carry out real-time Communication for Power with foul gas concentration detection apparatus 1, read the detection data of foul gas concentration detection apparatus 1 and deposit in MySQL database server 3, user can be by inputting the detection data of Web network address real time inspection foul gas concentration detection apparatus 1 of Apache Web server 4 in web browser, so that environmental monitoring station can be in the real-time stench information of the each monitoring station of indoor acquisition, realizing stays indoors just can have at fingertips to the stench situation of each website.
The present invention is not limited to above-mentioned preferred forms, and anyone should learn the structural change of making under enlightenment of the present invention, and every have identical or close technical scheme with the present invention, within all falling into protection scope of the present invention.
Claims (3)
1. the method for overall situation monitoring odor pollution in real time gas, is characterized in that,
In the region that will monitor, be evenly arranged many foul gas concentration detection apparatus according to its sensing range, described foul gas concentration detection apparatus detects the concentration value of the multiple foul gas in its monitoring range in real time,
Long-distance Control server is set, and all foul gas concentration detection apparatus real-time Communication for Power in described Long-distance Control server and described region, read all foul gas concentration detection apparatus concentration value data of the multiple foul gas of detection in real time in described region,
MySQL database server is set, and the concentration value data of the multiple foul gas that described Long-distance Control server detects all foul gas concentration detection apparatus in the described region of reading in real time deposit in described MySQL database server,
Apache Web server is set, the concentration value data of the multiple foul gas that described in described Apache Web server real time scan, in MySQL database server, in the described region of storage, all foul gas concentration detection apparatus detect in real time, and the concentration value of the multiple foul gas detecting in real time by all foul gas concentration detection apparatus in described region to calculate the comprehensive odor concentration value of multiple foul gas in described region be OU value and odor strength value, user checks OU value and the odor strength value of the multiple foul gas in described region by input the network address of described Apache Web server in web browser, and the OU value of described multiple foul gas and the mean value of odor strength value within the scope of certain hour.
2. the method for overall situation monitoring odor pollution in real time gas, it is characterized in that, described Long-distance Control server reads status information and the maintenance information of all foul gas concentration detection apparatus in described region in real time, and deposited in described MySQL database server, described Long-distance Control server is modified to the status information of the foul gas concentration detection apparatus in described region by the Web interface of described Apache Web server according to user's operation.
3. the method for overall situation monitoring odor pollution in real time gas, is characterized in that, described MySQL database is the hierarchical relationship database from top to bottom of dividing by region.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108760912A (en) * | 2018-05-21 | 2018-11-06 | 天津市环境保护科学研究院 | Malodor pollution tracing method based on malodor fingerprint spectrum and application |
CN108896706A (en) * | 2018-05-17 | 2018-11-27 | 华东理工大学 | The foul gas multiple spot centralization electronic nose instrument on-line analysis of big data driving |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201497888U (en) * | 2009-05-31 | 2010-06-02 | 北京安恒测试技术有限公司 | Loongson chip and Linux system based remote monitoring system |
CN202092984U (en) * | 2011-04-01 | 2011-12-28 | 深圳市安鑫宝科技发展有限公司 | On-line odor monitoring system |
CN103175781A (en) * | 2013-03-26 | 2013-06-26 | 北京拓扑智鑫科技有限公司 | Online regional distribution type odor monitoring system and method |
CN203101352U (en) * | 2012-12-19 | 2013-07-31 | 宇星科技发展(深圳)有限公司 | Online malodorous gas monitoring device |
CN103235992A (en) * | 2013-04-23 | 2013-08-07 | 江苏圆坤科技发展有限公司 | Two-dimensional code technology-based hotel management system and operating method for same |
-
2014
- 2014-03-07 CN CN201410084226.4A patent/CN103808904B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201497888U (en) * | 2009-05-31 | 2010-06-02 | 北京安恒测试技术有限公司 | Loongson chip and Linux system based remote monitoring system |
CN202092984U (en) * | 2011-04-01 | 2011-12-28 | 深圳市安鑫宝科技发展有限公司 | On-line odor monitoring system |
CN203101352U (en) * | 2012-12-19 | 2013-07-31 | 宇星科技发展(深圳)有限公司 | Online malodorous gas monitoring device |
CN103175781A (en) * | 2013-03-26 | 2013-06-26 | 北京拓扑智鑫科技有限公司 | Online regional distribution type odor monitoring system and method |
CN103235992A (en) * | 2013-04-23 | 2013-08-07 | 江苏圆坤科技发展有限公司 | Two-dimensional code technology-based hotel management system and operating method for same |
Non-Patent Citations (8)
Title |
---|
于建伟 等: "嗅味层次分析法对饮用水中嗅味的识别", 《中国给水排水》, vol. 23, no. 8, 30 April 2007 (2007-04-30) * |
于海晨 等: "基于Internet的控制***远程监控方案及实例", 《计算机自动测量与控制》, vol. 9, no. 5, 20 October 2001 (2001-10-20) * |
吴希文 等: "恶臭污染影响评价概述", 《环境科学动态》, no. 2, 31 December 2002 (2002-12-31) * |
徐晓军 等: "《恶臭气体生物净化理论与技术》", 30 April 2005, 北京:化学工业出版社, article "恶臭气体生物净化理论与技术", pages: 9-10 * |
李湘中: "嗅觉测定技术的进展与恶臭污染管理政策的改进", 《环境科学》, vol. 20, 31 March 1999 (1999-03-31) * |
王修德 等: "除臭效果的评价方法探讨", 《中国公共卫生》, vol. 11, no. 5, 31 December 1995 (1995-12-31) * |
荆治严 等: "《GB/T 14675-93空气质量恶臭的测定三点比较式臭袋法》", 15 March 1994, article "GB/T 14675-93空气质量恶臭的测定三点比较式臭袋法" * |
薛旭: "污水处理厂恶臭处理技术", 《石油化工安全环保技术》, vol. 24, no. 2, 31 December 2008 (2008-12-31) * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108896706A (en) * | 2018-05-17 | 2018-11-27 | 华东理工大学 | The foul gas multiple spot centralization electronic nose instrument on-line analysis of big data driving |
CN108896706B (en) * | 2018-05-17 | 2019-04-16 | 华东理工大学 | The foul gas multiple spot centralization electronic nose instrument on-line analysis of big data driving |
CN108760912A (en) * | 2018-05-21 | 2018-11-06 | 天津市环境保护科学研究院 | Malodor pollution tracing method based on malodor fingerprint spectrum and application |
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Address after: 100070 Beijing Fengtai District Branch Road No. 7 room 210 (Park) Patentee after: BEIJING TOP FORTUNE TECHNOLOGY CO., LTD. Address before: 100070 Beijing Fengtai District Branch Road No. 7 room 210 (Park) Patentee before: Beijing Top Fortune Technology Co., Ltd. |