CN103808904B - The method of overall situation monitoring odor pollution in real time gas - Google Patents
The method of overall situation monitoring odor pollution in real time gas Download PDFInfo
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- CN103808904B CN103808904B CN201410084226.4A CN201410084226A CN103808904B CN 103808904 B CN103808904 B CN 103808904B CN 201410084226 A CN201410084226 A CN 201410084226A CN 103808904 B CN103808904 B CN 103808904B
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Abstract
The invention discloses a kind of method that overall situation monitors odor pollution gas in real time, comprise the following steps: arrange multiple stage foul gas concentration detection apparatus, detect the concentration value of multiple foul gas in real time; The concentration value data that remote control service device reads multiple foul gas are set; MySQL database server is set, remote control service device by the concentration value data of multiple foul gas stored in MySQL database server; Apache is set? Web server, calculates OU value and the odor strength value of multiple foul gas, does user pass through Apache? the OU value of the multiple foul gas that the network address of Web server is checked and odor strength value.The present invention, because be provided with foul gas concentration detection apparatus, be not easy to affect by environment and human factor, data can be detected accurately, again because be provided with remote control service device, MySQL database server and Apache? Web server, in the real-time stench information of each monitoring station of indoor acquisition, can realize staying indoors and just can have at fingertips to the stench situation of each website.
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, and the complaint wherein about odor pollution account for very large proportion.All stimulate olfactory organ, and cause the smell of people's unhappiness sensation and infringement living environment to be referred to as stench, the material with foul odour is called as odorant pollutant.In order to administer odor pollution, first need reliable means and the method for monitoring odor pollution.The olfact of odorant is often very low, and this detects to stench and adds difficulty.The main method adopted is triangle odor bag method at present, this is a kind of artificial sense method of testing, and the method is easy to the impact being subject to environmental factor, human factor, and result causes larger data deviation, this manual method cannot on-line real-time measuremen, has significant limitation.
Summary of the invention
Technical matters to be solved by this invention solves existing foul gas detection method be easily subject to the impact of environmental factor and human factor and produce larger data deviation, and cannot carry out the problem of detection 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 method that overall situation monitors odor pollution gas in real time, multiple stage foul gas concentration detection apparatus is evenly arranged according to its sensing range in the region that will monitor, described foul gas concentration detection apparatus detects the concentration value of the multiple foul gas in its monitoring range in real time, remote control service device is set, all foul gas concentration detection apparatus real-time Communication for Power in described remote control service device and described region, read the concentration value data of the multiple foul gas that all foul gas concentration detection apparatus detect in real time in described region, MySQL database server is set, the concentration value data of the multiple foul gas that all foul gas concentration detection apparatus in the described region of reading detect by described remote control service device are in real time stored in described MySQL database server, apache web server is set, the concentration value data of the multiple foul gas that all foul gas concentration detection apparatus detect in real time in the described region of MySQL database server memory storage described in described apache web server real time scan, and the concentration value of the multiple foul gas detected in real time by foul gas concentration detection apparatus all in described region calculates the comprehensive odor concentration value of multiple foul gas in described region and OU value and odor strength value, user checks OU value and the odor strength value of the multiple foul gas in described region by the network address inputting 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 remote control service device reads status information and the maintenance information of all foul gas concentration detection apparatus in described region in real time, and by it stored in described MySQL database server, described remote control service device is modified according to the status information of Web interface to the foul gas concentration detection apparatus in described region of the operation of user by described apache web server.
In such scheme, described MySQL database is the hierarchical relationship database from top to bottom by region zones.
The present invention, because be provided with foul gas concentration detection apparatus, be not easy to affect by environment and human factor, data can be detected accurately, again because be provided with remote control service device, MySQL database server and apache web server, remote control service device can carry out real-time Communication for Power with foul gas concentration detection apparatus, read foul gas concentration detection apparatus detection data and stored in MySQL database server, user can by inputting the detection data of the Web network address real time inspection foul gas concentration detection apparatus of apache web server in web browser, so that environmental monitoring station can in the real-time stench information of each monitoring station of indoor acquisition, realize staying indoors and 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 monitors the method for odor pollution gas in real time, comprises the following steps:
Step 1, in the region that will monitor, be evenly arranged multiple stage foul gas concentration detection apparatus 1 according to its sensing range, foul gas concentration detection apparatus 1 detects the concentration value of 8 kinds of foul gas in its monitoring range in real time.Foul gas concentration detection apparatus 1 can select the online stench monitor of TP-II type.
Step 2, remote control service device 2 is set, remote control service device 2 and all foul gas concentration detection apparatus 1 real-time Communication for Power in region, the concentration value data of 8 kinds of foul gas that all foul gas concentration detection apparatus 1 detect in real time in reading area.The server program C language of remote control service device 2 is developed, this server program simultaneously for thousands of the online stench monitors of TP-II type provide whole day 24 hours online real time services, can mainly receive the data that the online stench monitor of TP-II type from various parts of the country sends over.
Step 3, arrange MySQL database server 3, the concentration value data of 8 kinds of foul gas that all foul gas concentration detection apparatus 1 in the region of reading detect by remote control service device 2 are in real time stored in MySQL database server 3.MySQL database server 3 is the database of a hierarchical structure, is followed successively by the whole nation from top to bottom, each province, city or area, county, such hierarchical relationship database such as department.
Step 4, apache web server 4 is set, the concentration value data of 8 kinds of foul gas that all foul gas concentration detection apparatus 1 detect in real time in the region stored in apache web server 4 real time scan MySQL database server 3, and the concentration value of the 8 kinds of foul gas detected in real time by foul gas concentration detection apparatus 1 all in region calculates the comprehensive odor concentration value of 8 kinds of foul gas in region and OU value and odor strength value, user checks OU value and the odor strength value of 8 kinds of foul gas in region by the network address inputting apache web server 4 in web browser, and the curve map of the OU value of 8 kinds of foul gas and the mean value of odor strength value within the scope of certain hour and histogram.
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, namely the data that send over of the online stench monitor of TP-II type, divided by the odor threshold of this composition.And OU value is exactly the maximal value of the threshold extension rate getting 8 class foul gas.
Odor strength is by Weber – Fechner law: S=KLogI+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 through the constant that a large amount of experiments draws.
Server program is contained in Linux server operating system, also installs on the server and has configured PHP.Web page exploitation can be carried out, real-time release stench condition information with PHP, HTML, JavaScript.
Step 5, remote control service device 2 be the status information of all foul gas concentration detection apparatus 1 and maintenance information in reading area in real time, and by it stored in MySQL database server 3, remote control service device 2 is modified according to the status information of Web interface to the foul gas concentration detection apparatus 1 in region of the operation of user by apache web server 4.
Remote control service device 2 can the online stench monitor of Long-distance Control TP-II type, such as remote opening, 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, the status information of each instrument is read by PHP program, once find to start shooting or shut down etc. operation to certain instrument, will send to corresponding instrument the instruction be applicable to, thus 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 control just to provide a great convenience by Web interface remote.
The present invention, because be provided with foul gas concentration detection apparatus 1, be not easy to affect by environment and human factor, data can be detected accurately, again because be provided with remote control service device 2, MySQL database server 3 and apache web server 4, remote control service device 2 can carry out real-time Communication for Power with foul gas concentration detection apparatus 1, read foul gas concentration detection apparatus 1 detection data and stored in MySQL database server 3, user can by inputting the detection data of the 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 in the real-time stench information of each monitoring station of indoor acquisition, realize staying indoors and 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 structure change made under enlightenment of the present invention, and every have identical or close technical scheme with the present invention, all falls within protection scope of the present invention.
Claims (2)
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 multiple stage 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,
Arrange remote control service device, all foul gas concentration detection apparatus real-time Communication for Power in described remote control service device and described region, read the concentration value data of the multiple foul gas that all foul gas concentration detection apparatus detect in real time in described region,
MySQL database server is set, the concentration value data of the multiple foul gas that all foul gas concentration detection apparatus in the described region of reading detect by described remote control service device are in real time stored in described MySQL database server, and described MySQL database is the hierarchical relationship database from top to bottom by region zones;
Apache web server is set, the concentration value data of the multiple foul gas that all foul gas concentration detection apparatus detect in real time in the described region of MySQL database server memory storage described in described apache web server real time scan, and the concentration value of the multiple foul gas detected in real time by foul gas concentration detection apparatus all in described region calculates the comprehensive odor concentration value of multiple foul gas in described region and OU value and odor strength value, user checks OU value and the odor strength value of the multiple foul gas in described region by the network address inputting 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,
The comprehensive odor concentration value of described multiple foul gas is the maximal value of the threshold extension rate of described multiple foul gas;
Wherein, the described threshold extension rate of often kind of foul gas is the odor threshold of concentration value divided by this foul gas of the described foul gas that described foul gas concentration detection apparatus detects in real time;
According to Weber – Fechner law, described odor strength value S=KLgI+C, I are odor concentrations, i.e. the comprehensive odor concentration value of foul gas, K and C is constant coefficient.
2. the method for claim 1, it is characterized in that, described remote control service device reads status information and the maintenance information of all foul gas concentration detection apparatus in described region in real time, and by it stored in described MySQL database server, described remote control service device is modified according to the status information of Web interface to the foul gas concentration detection apparatus in described region of the operation of user by described apache web server.
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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 |
CN108760912B (en) * | 2018-05-21 | 2022-02-08 | 天津市环境保护科学研究院 | Malodor pollution tracing method based on malodor fingerprint spectrum and application |
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 |
-
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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 (1)
Title |
---|
基于Internet的控制系统远程监控方案及实例;于海晨 等;《计算机自动测量与控制》;20011020;第9卷(第5期);摘要,第14页第1节第2-3段,第2节第1段,第15页第3节第1、4段,第3.3节第1段,第3.4节第1段,第4节 * |
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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. |