CN106325067B - Natural gas Internet monitoring device and monitoring method - Google Patents
Natural gas Internet monitoring device and monitoring method Download PDFInfo
- Publication number
- CN106325067B CN106325067B CN201610624424.4A CN201610624424A CN106325067B CN 106325067 B CN106325067 B CN 106325067B CN 201610624424 A CN201610624424 A CN 201610624424A CN 106325067 B CN106325067 B CN 106325067B
- Authority
- CN
- China
- Prior art keywords
- natural gas
- carbon dioxide
- danger
- dioxide concentration
- concentration
- 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.)
- Active
Links
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 title claims abstract description 192
- 239000003345 natural gas Substances 0.000 title claims abstract description 96
- 238000012544 monitoring process Methods 0.000 title claims abstract description 26
- 238000012806 monitoring device Methods 0.000 title claims abstract description 14
- 238000000034 method Methods 0.000 title claims abstract description 13
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims abstract description 136
- 239000001569 carbon dioxide Substances 0.000 claims abstract description 68
- 229910002092 carbon dioxide Inorganic materials 0.000 claims abstract description 68
- 239000007789 gas Substances 0.000 claims abstract description 31
- 230000005540 biological transmission Effects 0.000 claims abstract description 22
- 238000013139 quantization Methods 0.000 claims description 6
- 229930195733 hydrocarbon Natural products 0.000 description 6
- 150000002430 hydrocarbons Chemical class 0.000 description 6
- 239000004215 Carbon black (E152) Substances 0.000 description 5
- 239000003245 coal Substances 0.000 description 3
- 238000004880 explosion Methods 0.000 description 3
- 239000000446 fuel Substances 0.000 description 3
- ATUOYWHBWRKTHZ-UHFFFAOYSA-N Propane Chemical compound CCC ATUOYWHBWRKTHZ-UHFFFAOYSA-N 0.000 description 2
- 239000011435 rock Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000001273 butane Substances 0.000 description 1
- 239000006229 carbon black Substances 0.000 description 1
- 239000013064 chemical raw material Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000003915 liquefied petroleum gas Substances 0.000 description 1
- 238000002620 method output Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- IJDNQMDRQITEOD-UHFFFAOYSA-N n-butane Chemical compound CCCC IJDNQMDRQITEOD-UHFFFAOYSA-N 0.000 description 1
- OFBQJSOFQDEBGM-UHFFFAOYSA-N n-pentane Natural products CCCCC OFBQJSOFQDEBGM-UHFFFAOYSA-N 0.000 description 1
- 231100000252 nontoxic Toxicity 0.000 description 1
- 230000003000 nontoxic effect Effects 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 239000001294 propane Substances 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000009967 tasteless effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
-
- 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
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
- G01N33/0063—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display using a threshold to release an alarm or displaying means
-
- 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
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0073—Control unit therefor
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Food Science & Technology (AREA)
- Combustion & Propulsion (AREA)
- Immunology (AREA)
- Medicinal Chemistry (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Automation & Control Theory (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The invention discloses a natural gas internet monitoring device, which comprises: a power supply module; the natural gas concentration sensor is electrically connected with the power supply module and is used for monitoring the gas concentration of the natural gas and outputting data; the carbon dioxide concentration sensor is electrically connected with the power supply module and is used for monitoring the carbon dioxide concentration and outputting data; the controller is respectively connected with the natural gas concentration sensor and the carbon dioxide concentration sensor, is used for receiving gas concentration and carbon dioxide concentration data, compares the gas concentration and the carbon dioxide concentration with preset natural gas concentration and carbon dioxide concentration, and outputs a danger occurrence probability signal; the wireless transmission module is connected with the controller and used for receiving and outputting the danger probability signal; and the mobile terminal is connected with the wireless transmission module and is used for receiving the danger occurrence probability signal transmitted by the wireless transmission module and making danger warning. The invention also discloses a natural gas internet monitoring method.
Description
Technical Field
The invention relates to the field of internet monitoring, in particular to a natural gas internet monitoring device and a natural gas internet monitoring method.
Background
Natural gas refers to all gases naturally occurring in nature, including gases formed by various natural processes in the air space, water space and rock space (including oil field gas, gas field gas, mud volcanic gas, coal bed gas, biogenetic gas and the like), however, the definition of "natural gas" which has been commonly used for a long time is a narrow definition from the energy point of view, and refers to a mixture of hydrocarbon and non-hydrocarbon gases naturally existing in the stratum, and in petroleum geology, the definition generally refers to oil field gas and gas field gas. The natural gas is mainly composed of hydrocarbons and contains non-hydrocarbon gas, and natural gas is stored in underground porous rock stratum and comprises oil field gas, gas field gas, coal bed gas, mud volcanic gas, biogenetic gas and the like, and a small amount of natural gas is also discharged from the coal bed. It is a high-quality fuel and chemical raw material.
The natural gas is mainly used as fuel, can be used for producing carbon black, chemicals and liquefied petroleum gas, and the propane and butane produced by the natural gas are important raw materials of modern industry. The natural gas is mainly formed by mixing gaseous low molecular hydrocarbon and non-hydrocarbon gas, is colorless, tasteless and nontoxic, but can trigger explosion with huge power when being used as fuel to be gathered in dense environments such as houses and the like to reach a certain proportion.
In real life, natural gas leakage and explosion are reported, in order to find out in advance and early warn the possibility of natural gas leakage and danger, a system which can monitor the natural gas concentration in the environment in real time, early warn the danger and timely transmit danger information data is developed to be important, meanwhile, the change of the carbon dioxide concentration in the environment also has influence on the threshold value of natural gas explosion, and the monitoring of the carbon dioxide concentration is added in a monitoring system to be more critical.
Disclosure of Invention
Based on the problems in the prior art, the invention designs and develops a natural gas internet monitoring method, and aims to provide a method which can monitor and alarm natural gas in real time, generate a signal capable of generating danger probability by establishing a fuzzy control model, further more accurately and timely alarm, and avoid false alarm and missed alarm of danger early warning.
The invention also designs and develops a natural gas internet monitoring device, and aims to enable a user to master the probability of danger at any time through the arrangement of the wireless transmission module and the mobile terminal, and avoid the danger situation caused by the fact that the danger early warning information cannot be mastered in real time and the danger situation cannot be processed in time.
The technical scheme provided by the invention is as follows:
a natural gas internet monitoring device, comprising:
a power supply module;
the natural gas concentration sensor is electrically connected with the power supply module and is used for monitoring the gas concentration of the natural gas and outputting data;
the carbon dioxide concentration sensor is electrically connected with the power supply module and is used for monitoring the carbon dioxide concentration and outputting data;
the controller is respectively connected with the natural gas concentration sensor and the carbon dioxide concentration sensor, is used for receiving gas concentration and carbon dioxide concentration data, compares the gas concentration and the carbon dioxide concentration with preset natural gas concentration and preset carbon dioxide concentration, and outputs a danger occurrence probability signal;
the wireless transmission module is connected with the controller and used for receiving and outputting the danger probability signal;
and the mobile terminal is connected with the wireless transmission module and is used for receiving the danger occurrence probability signal transmitted by the wireless transmission module and further making danger warning.
Preferably, the monitoring device further comprises: a natural gas control valve coupled to the controller.
Preferably, the natural gas concentration sensor, the carbon dioxide concentration sensor, the controller and the wireless transmission module are connected through a standard data interface.
Preferably, the wireless control module transmits the data to the wireless router through a wireless network, and the wireless router transmits the data to the mobile terminal through the internet.
Preferably, the mobile terminal is a mobile phone or a computer.
A natural gas Internet monitoring method outputs danger occurrence probability signals by adopting a fuzzy control model, and comprises the following steps:
respectively converting the deviation change rate of the actual natural gas concentration and the preset natural gas concentration, the deviation change rate of the actual carbon dioxide concentration and the preset carbon dioxide concentration and the occurrence danger probability into quantization levels in a fuzzy theory domain;
inputting the deviation change rate of the actual natural gas concentration and the preset natural gas concentration and the deviation change rate of the actual carbon dioxide concentration and the preset carbon dioxide concentration into a fuzzy control model, and equally dividing the values into 7 grades;
the output of the fuzzy control model is the occurrence probability and is divided into 5 grades;
and according to the danger probability signal, making a danger early warning.
Preferably, the domain of the deviation change rate of the actual natural gas concentration and the preset natural gas concentration is [ -8, 8], the domain of the deviation change rate of the actual carbon dioxide concentration and the preset carbon dioxide concentration is [ -12, 12], the domain of the occurrence probability of danger is [0, 1], and the set quantization factor is 1.
Preferably, the fuzzy set of the deviation change rate of the actual natural gas concentration and the preset natural gas concentration is { NB, NM, NS, 0, PS, PM, PB }, the fuzzy set of the deviation change rate of the actual carbon dioxide concentration and the preset carbon dioxide concentration is { NB, NM, NS, 0, PS, PM, PB }, and the fuzzy set of the occurrence probability is {0, PS, PM, PB, PVB }; the membership functions are all trigonometric functions.
Preferably, the control rule of the fuzzy control model is as follows:
when the deviation change rate of the actual natural gas concentration and the preset natural gas concentration and the deviation change rate of the actual carbon dioxide concentration and the preset carbon dioxide concentration are both positive, entering a dangerous mode, and outputting the dangerous occurrence probability by the controller to be positive;
and when the deviation change rate of the actual natural gas concentration and the preset natural gas concentration and the deviation change rate of the actual carbon dioxide concentration and the preset carbon dioxide concentration are negative, the dangerous mode is not entered, and the dangerous probability output by the controller is zero.
Preferably, the danger warning is carried out by the occurrence of a danger probability signal:
when the danger probability output is zero, the controller does not output the data of the danger probability signal;
when the danger probability output is positive, at the moment, the controller outputs the data of the danger probability signal, and the data are transmitted to the mobile terminal through the wireless transmission module to carry out danger alarm.
Compared with the prior art, the invention has the following beneficial effects:
1. by the monitoring method, the concentration of natural gas and carbon dioxide in the environment can be monitored in real time, data can be transmitted in time, and the danger probability is predicted and output through the established fuzzy control model, so that an alarm system is more accurate and timely, and the situations of false alarm and missed alarm are avoided;
2. through the arrangement of the wireless transmission module and the mobile terminal in the monitoring device, a user can master the dangerous probability condition of a monitoring place at any time and any place, so that the dangerous warning is processed in time, and the dangerous occurrence is effectively avoided.
Drawings
Fig. 1 is a schematic block diagram of a monitoring method according to the present invention.
Fig. 2 is a schematic view of a monitoring device according to the present invention.
Fig. 3 is a membership function of a rate of change of deviation of an actual natural gas concentration from a preset natural gas concentration.
FIG. 4 is a membership function of a rate of change of deviation of an actual carbon dioxide concentration from a preset carbon dioxide concentration.
FIG. 5 is a membership function of the probability of occurrence of a hazard.
Detailed Description
The present invention is further described in detail below with reference to the attached drawings so that those skilled in the art can implement the invention by referring to the description text.
As shown in fig. 1 and 2, the invention provides a natural gas internet monitoring device, which comprises a main structure that: the system comprises a power supply module 110, a natural gas concentration sensor 121, a carbon dioxide concentration sensor 122, a controller 130, a wireless transmission module 140 and a mobile terminal 150; wherein, the power module 110 provides the required power for the monitoring device, the power module 110 is composed of a switching power supply conversion chip, a linear voltage regulator and a voltage-stabilizing filter circuit, the natural gas concentration sensor 121 is electrically connected with the power module 110, and can be used for monitoring the gas concentration of natural gas in real time and outputting data, the carbon dioxide concentration sensor 122 is electrically connected with the power module 110, and can be used for monitoring the gas concentration of carbon dioxide in real time and outputting data, the controller 130 is respectively connected with the natural gas concentration sensor 121 and the carbon dioxide concentration sensor 122, and is used for receiving the natural gas concentration data monitored in real time and the carbon dioxide concentration data monitored in real time, and comparing with the preset natural gas concentration and the preset carbon dioxide concentration, and outputting a danger occurrence probability signal, the wireless transmission module 140 is connected with the controller 130, and can be used for receiving and outputting the danger occurrence probability signal, the mobile terminal 150 is connected to the wireless transmission module 140, and can be used for receiving the danger occurrence probability signal transmitted by the wireless transmission module 140, and further making danger warnings of different degrees.
In another embodiment, the natural gas concentration sensor 121, the carbon dioxide concentration sensor 122, the controller 130, and the wireless transmission module 140 are connected via a standard data interface, so that data can be integrated into any data platform.
In another embodiment, the wireless control module 140 transmits the data to the wireless router via the wireless network, and the wireless router transmits the data to the mobile terminal 150 via the internet.
In another embodiment, the mobile terminal 150 is a mobile phone or a computer.
The invention also provides a natural gas internet monitoring method, which adopts a fuzzy control model to realize the output of danger occurrence probability signals and respectively outputs the deviation change rate EC of the actual natural gas concentration and the preset natural gas concentration1The deviation change rate EC of the actual carbon dioxide concentration from the preset carbon dioxide concentration2And converting the occurrence probability into a quantization level in a fuzzy domain; the deviation change rate EC of the actual natural gas concentration and the preset natural gas concentration1And the deviation change rate EC of the actual carbon dioxide concentration from the preset carbon dioxide concentration2Inputting a fuzzy control model, outputting the danger probability by the fuzzy control model, and further carrying out danger early warning;
deviation change rate EC of actual natural gas concentration and preset natural gas concentration1Has a variation range of [ -8, 8 [)]Rate of change of deviation EC of actual carbon dioxide concentration from preset carbon dioxide concentration2Has a variation range of [ -12, 12 [)]The quantization factors are all set to 1, so the rate of change of deviation EC1And rate of change of deviation EC2Respectively of [ -8, 8 [ ]]And [ -12, 12 [)]The domain of occurrence of the risk probability is [0, 1]](ii) a In order to ensure the control precision and ensure that the natural gas concentration can be well controlled in different environments, the deviation change rate EC of the actual natural gas concentration and the preset natural gas concentration is finally determined according to repeated tests1Is divided into 7 gradesThe fuzzy set is { NB, NM, NS, 0, PS, PM, PB }, and the deviation change rate EC of the actual carbon dioxide concentration and the preset carbon dioxide concentration is calculated2The variation range of the fuzzy set is divided into 7 levels, the fuzzy set is { NB, NM, NS, 0, PS, PM, PB }, the output danger probability is divided into 5 levels, and the fuzzy set is {0, PS, PM, PB, PVB }; the membership functions are all triangular membership functions, as shown in fig. 3, 4 and 5.
The control rule selection experience of the fuzzy control model is as follows: when the deviation change rate EC of the actual natural gas concentration and the preset natural gas concentration1And the deviation change rate EC of the actual carbon dioxide concentration from the preset carbon dioxide concentration2If the data are positive, entering a dangerous mode, and outputting the danger occurrence probability as positive by the controller; when the deviation change rate EC of the actual natural gas concentration and the preset natural gas concentration1And the deviation change rate EC of the actual carbon dioxide concentration from the preset carbon dioxide concentration2When the output voltage is negative, the controller does not enter a dangerous mode, and the danger occurrence probability output by the controller is zero.
And (3) carrying out danger alarm through the occurrence probability: when the danger probability output is zero, the controller does not output the data of the danger probability signal; when the danger probability output is positive, the controller outputs data of danger probability signals, transmits the data to the mobile terminal through the wireless transmission module, and further performs danger alarm of different degrees through outputting the data; specific fuzzy control rules are shown in table 1.
TABLE 1 fuzzy control rules
In another embodiment, as shown in fig. 2, the monitoring apparatus further includes: and a natural gas control valve 131 connected to the controller 130, wherein when the dangerous occurrence probability output of the controller 130 is positive, the controller 130 closes the natural gas control valve 131, thereby controlling the concentration of natural gas in the monitoring environment not to increase.
While embodiments of the invention have been described above, it is not limited to the applications set forth in the description and the embodiments, which are fully applicable in various fields of endeavor to which the invention pertains, and further modifications may readily be made by those skilled in the art, it being understood that the invention is not limited to the details shown and described herein without departing from the general concept defined by the appended claims and their equivalents.
Claims (1)
1. A natural gas internet monitoring method is characterized in that the natural gas internet monitoring method is based on a natural gas internet monitoring device,
the natural gas internet monitoring device comprises: a power supply module; the natural gas concentration sensor is electrically connected with the power supply module and is used for monitoring the gas concentration of the natural gas and outputting data; the carbon dioxide concentration sensor is electrically connected with the power supply module and is used for monitoring the carbon dioxide concentration and outputting data; the controller is respectively connected with the natural gas concentration sensor and the carbon dioxide concentration sensor, is used for receiving gas concentration and carbon dioxide concentration data, compares the gas concentration and the carbon dioxide concentration with preset natural gas concentration and preset carbon dioxide concentration, and outputs a danger occurrence probability signal; the wireless transmission module is connected with the controller and used for receiving and outputting the danger probability signal; the mobile terminal is connected with the wireless transmission module and used for receiving the danger occurrence probability signal transmitted by the wireless transmission module and further making danger warning;
the monitoring device further comprises: a natural gas control valve connected to the controller;
the natural gas concentration sensor, the carbon dioxide concentration sensor, the controller and the wireless transmission module are connected through a standard data interface;
the wireless transmission module transmits data to the wireless router through a wireless network, and the wireless router transmits the data to the mobile terminal through the internet;
the mobile terminal is a mobile phone or a computer;
the natural gas internet monitoring method adopts a fuzzy control model to output danger occurrence probability signals, and comprises the following steps: respectively converting the deviation change rate of the actual natural gas concentration and the preset natural gas concentration, the deviation change rate of the actual carbon dioxide concentration and the preset carbon dioxide concentration and the occurrence danger probability into quantization levels in a fuzzy theory domain; inputting the deviation change rate of the actual natural gas concentration and the preset natural gas concentration and the deviation change rate of the actual carbon dioxide concentration and the preset carbon dioxide concentration into a fuzzy control model, and equally dividing the model into 7 grades; the output of the fuzzy control model is the occurrence probability and is divided into 5 grades; according to the danger probability signal, further making a danger early warning;
the domain of the deviation change rate of the actual natural gas concentration and the preset natural gas concentration is [ -8, 8], the domain of the deviation change rate of the actual carbon dioxide concentration and the preset carbon dioxide concentration is [ -12, 12], the domain of the occurrence probability is [0, 1], and the quantization factors are all set to be 1;
the fuzzy set of the deviation change rate of the actual natural gas concentration and the preset natural gas concentration is { NB, NM, NS, 0, PS, PM, PB }, the fuzzy set of the deviation change rate of the actual carbon dioxide concentration and the preset carbon dioxide concentration is { NB, NM, NS, 0, PS, PM, PB }, and the fuzzy set of the occurrence probability is {0, PS, PM, PB, PVB }; the membership functions all adopt trigonometric functions;
the control rule of the fuzzy control model is as follows: when the deviation change rate of the actual natural gas concentration and the preset natural gas concentration and the deviation change rate of the actual carbon dioxide concentration and the preset carbon dioxide concentration are both positive, entering a dangerous mode, and outputting the dangerous occurrence probability by the controller to be positive; when the deviation change rate of the actual natural gas concentration and the preset natural gas concentration and the deviation change rate of the actual carbon dioxide concentration and the preset carbon dioxide concentration are both negative, the dangerous mode is not entered, and the danger occurrence probability output by the controller is zero;
and (3) carrying out danger alarm by generating danger probability signals: when the danger probability output is zero, the controller does not output the data of the danger probability signal; when the danger probability output is positive, at the moment, the controller outputs the data of the danger probability signal, and the data are transmitted to the mobile terminal through the wireless transmission module to carry out danger alarm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610624424.4A CN106325067B (en) | 2016-08-01 | 2016-08-01 | Natural gas Internet monitoring device and monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610624424.4A CN106325067B (en) | 2016-08-01 | 2016-08-01 | Natural gas Internet monitoring device and monitoring method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106325067A CN106325067A (en) | 2017-01-11 |
| CN106325067B true CN106325067B (en) | 2021-07-16 |
Family
ID=57739861
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610624424.4A Active CN106325067B (en) | 2016-08-01 | 2016-08-01 | Natural gas Internet monitoring device and monitoring method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106325067B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115240373B (en) * | 2022-07-14 | 2023-08-08 | 中万恩科技有限公司 | Natural gas and combustible gas detection alarm method and device for dish washer and electronic equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101285842A (en) * | 2007-04-10 | 2008-10-15 | 中国国际海运集装箱(集团)股份有限公司 | Dangerous chemical detection and remote alarming device |
| US7508520B1 (en) * | 2006-09-14 | 2009-03-24 | Itt Manufacturing Enterprises, Inc. | System and method for multi-target fluid concentration detection and mapping |
| CN103019173A (en) * | 2012-11-09 | 2013-04-03 | 河南宝龙电子科技有限公司 | Integrated monitoring system of domestic indoor gas by utilizing 3G technology |
| CN203287793U (en) * | 2013-06-06 | 2013-11-13 | 上海鸿维物联网技术工程有限公司 | IOT-Based fuel gas safety control system |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201868069U (en) * | 2010-11-04 | 2011-06-15 | 陈晓曦 | Multifunctional information recording card applicable to inflammable and explosive environments |
| CN102063854B (en) * | 2010-11-04 | 2012-09-05 | 陈晓曦 | Multifunctional information recording card suitable for inflammable and explosive environment |
| US9581575B2 (en) * | 2012-04-19 | 2017-02-28 | Jordan University Of Science And Technology | Safety system for detection and elimination of toxic gases |
| US8700549B2 (en) * | 2012-05-23 | 2014-04-15 | King Fahd University Of Petroleum And Minerals | Method of predicting gas composition |
| CN103198175B (en) * | 2013-03-04 | 2016-01-13 | 辽宁省电力有限公司鞍山供电公司 | Based on the Diagnosis Method of Transformer Faults of fuzzy clustering |
| CN105675802A (en) * | 2014-11-19 | 2016-06-15 | 国网河南省电力公司南阳供电公司 | Transformer fault diagnosis method |
| CN104574848B (en) * | 2015-01-14 | 2017-09-12 | 深圳市欧瑞博电子有限公司 | A kind of alarm method of gas alarm device |
| CN204788486U (en) * | 2015-07-16 | 2015-11-18 | 西安科技大学 | Wireless monitor terminal of intelligence house environment based on android platform |
| CN105223317B (en) * | 2015-10-16 | 2018-03-16 | 北京工业大学 | A kind of natural gas mobile monitoring system |
| CN205318586U (en) * | 2015-12-18 | 2016-06-15 | 上海昱丽环境科技有限公司 | Compound intelligent gas detection ware |
| CN105806785A (en) * | 2016-03-28 | 2016-07-27 | 贵州大学 | Portable laser methane detecting device and detecting method thereof |
-
2016
- 2016-08-01 CN CN201610624424.4A patent/CN106325067B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7508520B1 (en) * | 2006-09-14 | 2009-03-24 | Itt Manufacturing Enterprises, Inc. | System and method for multi-target fluid concentration detection and mapping |
| CN101285842A (en) * | 2007-04-10 | 2008-10-15 | 中国国际海运集装箱(集团)股份有限公司 | Dangerous chemical detection and remote alarming device |
| CN103019173A (en) * | 2012-11-09 | 2013-04-03 | 河南宝龙电子科技有限公司 | Integrated monitoring system of domestic indoor gas by utilizing 3G technology |
| CN203287793U (en) * | 2013-06-06 | 2013-11-13 | 上海鸿维物联网技术工程有限公司 | IOT-Based fuel gas safety control system |
Non-Patent Citations (2)
| Title |
|---|
| 含CO2天然气燃烧爆炸特性实验研究;张应安等;《天然气工业》;20090630(第6期);全文 * |
| 含CO2天然气的可燃极限与燃爆压力;钱新明等;《爆炸与冲击》;20100831;第30卷(第5期);第523-528页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106325067A (en) | 2017-01-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN204535764U (en) | For the monitoring device of the safe on-line monitoring of Oil/gas Well, monitoring terminal and system | |
| EP2910729B1 (en) | Systems and methods for localized well analysis and control | |
| CN106325067B (en) | Natural gas Internet monitoring device and monitoring method | |
| CN104074507A (en) | Underground detection device, underground detection system and well lid | |
| CN206319851U (en) | Oil well intelligent blowout control equipment and monitoring system | |
| CN108571320A (en) | A kind of coalcutter Multistage Control method of intellectual comprehensive mechanized mining face | |
| CN104090556A (en) | Self-adaptive ecological welding environment monitoring system and method | |
| CN102353401A (en) | Universal method for detecting toxic gas and alarming and instrument | |
| EP3940288A1 (en) | A method and system of monitoring a meter set using a sensor | |
| CN105299470A (en) | Methane monitoring automatic emptying device of middle-lower pressure gas pipe network | |
| Tang et al. | Sensing technologies and artificial intelligence for subsea power cable asset management | |
| CN209929413U (en) | Circulating system of hydrogen leak detection alarm for fuel cell | |
| CN103778059A (en) | Method and system for abnormity warning | |
| JP2007520656A (en) | Annular embolism detection using a pressure transmitter in gas lift oil production | |
| Yang et al. | Prediction of CH4 adsorption on different activated carbons by developing an optimal multilayer perceptron artificial neural network | |
| CN209215273U (en) | A kind of portable tri-state gas alarm modular circuit | |
| Ranjith et al. | IoT Based Power Line Communication in UndergroundCoal Mines | |
| CN202309833U (en) | Cell phone with fuel gas monitoring and alarming functions | |
| Xakimovich et al. | Development of a Digital Gas Sensor Module Designed for Industrial Safety Systems and Their Application | |
| US10948472B2 (en) | Discrete emissions detection for a site | |
| CN201111689Y (en) | Combustible gas alarm | |
| CN202306756U (en) | Fire monitoring control system | |
| Fu et al. | Application of data fusion to environmental measurement in coalmine | |
| CN212779727U (en) | Oil tank truck supervisory system | |
| CN104515547A (en) | Intelligent well lid detecting card |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |