CN115754173A - Extremely early monitoring method for smoldering - Google Patents
Extremely early monitoring method for smoldering Download PDFInfo
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- CN115754173A CN115754173A CN202211646560.5A CN202211646560A CN115754173A CN 115754173 A CN115754173 A CN 115754173A CN 202211646560 A CN202211646560 A CN 202211646560A CN 115754173 A CN115754173 A CN 115754173A
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- smoldering
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 title claims abstract description 16
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims abstract description 7
- 229910002091 carbon monoxide Inorganic materials 0.000 claims abstract description 7
- 238000004891 communication Methods 0.000 claims description 7
- 230000007613 environmental effect Effects 0.000 claims description 5
- 230000001413 cellular effect Effects 0.000 claims description 3
- 238000002485 combustion reaction Methods 0.000 claims description 3
- 230000010365 information processing Effects 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000008859 change Effects 0.000 description 6
- 239000000779 smoke Substances 0.000 description 4
- 229920000742 Cotton Polymers 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 230000035945 sensitivity Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000002269 spontaneous effect Effects 0.000 description 1
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Abstract
The smoldering monitoring method adopts a radio electromagnetic sensing technology, information is transmitted through radio electromagnetic waves by using an ultrahigh frequency passive sensing label, a honeycomb Internet of things system is formed by the ultrahigh frequency passive sensing label, a base station and an auxiliary base station around a storage warehouse, and physical factors such as carbon monoxide concentration and environment humidity around stored and transported articles can be sensed in near real time to generate a real-time dynamic cloud picture, so that whether smoldering occurs or not can be predicted and found more quickly and accurately, the position where the smoldering occurs can be located, and early warning can be given to nearby workers to prevent and reduce fire and corresponding economic loss caused by smoldering of the stored and transported articles.
Description
Technical Field
The invention relates to a monitoring technology in storage and transportation, in particular to a smoldering extremely early monitoring method.
Background
In the process of storage and transportation, smoldering and fire disasters can occur due to external fire sources, and spontaneous combustion can also occur in a high-temperature and humid environment due to heat released by chemical reaction in the environment, and the phenomenon of point smoldering is in the initial stage. The smoldering period is neither flame nor luminous, is accompanied by a small amount of smoke, and can last for days to months without being discovered.
In the smoldering monitoring currently used, a mode of smoke blocking infrared alarm and a mode of smoke sensor detection are adopted to carry out smoldering smoke sensing alarm, and the detection mode has certain hysteresis and cannot find the problem of smoldering of the stored and transported articles at an extremely early stage.
Disclosure of Invention
The invention provides a smoldering extremely early monitoring method, which solves the problems that smoldering of stored and transported articles cannot be found in time and the occurrence position can not be accurately positioned at present.
Based on the above problems, the present invention provides a method for monitoring the smoldering combustion extremely early, which comprises the following steps:
s1, installing ultrahigh frequency passive sensing tags before storage and transportation of stored and transported articles, wherein each sensing tag has an ID corresponding to the sensing tag;
s2, monitoring the carbon monoxide concentration around the stored and transported object and the values of the environmental temperature and humidity factors through the ultrahigh frequency passive sensing tag;
s3, transmitting the monitored numerical value to a base station through radio electromagnetic waves, transmitting the numerical value to a remote main controller through the base station, and generating a dynamic cloud picture;
and S4, judging whether smoldering occurs or not based on the dynamic cloud picture, and positioning the position where the smoldering occurs.
Further, the monitoring in S2 specifically includes: and if abnormal change phenomena such as carbon monoxide concentration higher than 24 ppm, ambient humidity lower than 60%, temperature obviously increased relative to ambient temperature and the like occur around the stored and transported article, determining that smoldering occurs in the stored and transported article.
Furthermore, the ultrahigh frequency passive sensing tag also has the functions of wireless energy collection and storage, information processing and communication; the ultrahigh frequency passive sensing tag, a surrounding base station and an auxiliary base station form a cellular internet of things system; and information is transmitted among the base station, the auxiliary base station and the sensing tag through wireless electromagnetic waves.
Further, in the dynamic cloud image of S4, a color of the cloud image at a position where the smoldering occurs and a color of the cloud image at a position where the smoldering does not occur are changed from a dark color to a light color.
The invention can find the smoldering condition of the stored and transported goods in time and predict and obtain whether the smoldering occurs and the specific position of the smoldering occurs in time, thereby preventing and reducing the loss caused by the smoldering of the stored and transported goods.
Drawings
FIG. 1 is an exemplary flow chart of a smoldering extreme early monitoring method provided by the present disclosure;
FIG. 2 is a block diagram of a smoldering very early monitoring method according to the present invention;
fig. 3 is an information processing flow chart of a smoldering extreme early monitoring method according to the present invention.
Detailed Description
The following detailed description of the embodiments of the present invention will be made with reference to the accompanying drawings, and for the purpose of clarity, the drawings and the description will not be provided with illustration and description which are not related to the present invention.
The embodiment of the invention provides a smoldering extremely early monitoring method for stored and transported articles, which comprises the following steps: the ultrahigh frequency passive sensing tag is used for sensing the CO concentration change around the stored and transported object and the change of environmental factors and the like, information is transmitted through radio electromagnetic waves, a honeycomb-shaped internet of things system is formed by the ultrahigh frequency passive sensing tag, the base station and the auxiliary base station, a real-time dynamic cloud picture is generated, and whether smoldering occurs on the stored and transported object and the specific position information of the smoldering occur are judged.
As shown in figure 1, the cotton is unstacked, and the weight and the quality of the cotton are checked after being transported to a storage warehouse, after the check is finished, an ultrahigh frequency passive sensing label meeting the ISO18000-6C standard is installed on each stored and transported article, and then the cotton is transported to the storage warehouse for stacking and storage.
Then, as shown in fig. 2, in the storage process inside the warehouse, through a cellular internet of things architecture system composed of a base station compatible with ISO18000-6C ultra-high frequency RFID technology standard outside the warehouse, an auxiliary base station and an ultra-high frequency passive sensing tag on the stored and transported object, whether the physical parameters such as carbon monoxide concentration around the stored and transported object and the surrounding environment humidity are abnormally changed is detected, so as to predict and judge whether smoldering occurs inside the stored and transported object, and locate the position where the smoldering occurs, so as to generate a real-time dynamic cloud picture:
the networking communication distance between the base station and the auxiliary base station reaches 100 meters; the distance between the base station and the auxiliary base station is 50 meters, the distance between the auxiliary base station and the label is 0.3 meter, the visual distance communication distance between the base station and the commercial ISO18000-6C label reaches 70 meters (the distance between the base station and the auxiliary base station is 100 meters, the distance between the auxiliary base station and the active ISO18000-6C label is 20 meters, the visual distance communication distance between the base station and the label reaches 100 meters, the downlink communication speed of the system ranges from 40kbps to 160kbps, the uplink communication speed ranges from 80 kbps to 640kbps, and the base station can perform polling inventory and perception information acquisition and area-fixed inventory on the labels in the coverage area of the radio frequency field of the auxiliary base station and the base station as required, so that different requirements of different practical application scenes are met.
Wherein the receive sensitivity of the base station is due to-88.05 dBm; the detection range of the sensing label for the CO concentration is between 0 and 10000 ppm, and the sensitivity and the precision are both 0.5 ppm; the measuring range of the sensing label to the ambient temperature is between 0 ℃ and 200 ℃, and the precision is about 0.5 ℃; the measuring range of the sensing label to the ambient environment humidity is between 20 and 95 percent RH, and the precision is about 1 percent RH; the sensitivity of the sensing tag for radio frequency signal reception and energy harvesting is-13 dBm.
As shown in fig. 3, information is transmitted among the base station, the auxiliary base station, and the sensing tag through wireless electromagnetic waves, the sensing tag transmits collected physical factors such as CO concentration and ambient humidity around the stored and transported object to the base station through the electromagnetic waves, and the base station receives and identifies the sensing tag transmission tag ID and the relevant numerical information around the tag, and then transmits the information to the remote main controller through wired or wireless connection, so as to generate a real-time dynamic cloud map.
Then, when the sensing label detects the change of the surrounding CO concentration and environmental factors, the change condition and the change value are transmitted to the base station through wireless electromagnetic waves and then transmitted to the main control computer by the base station, and then after the fact that the stored and transported articles are smoldered is judged, fire early warning is sent to workers near a storage warehouse in near real time, and the position where smoldering occurs is positioned and sent to the hands of the workers, so that the influence of smoldering is eliminated in time, and excessive loss is avoided; when the smoldering phenomenon is judged not to occur, the operation of detecting whether the physical factors such as the carbon monoxide concentration and the environmental humidity around the stored and transported articles are abnormally changed or not is repeated.
The preferred embodiments of the present invention are described in detail above with reference to the accompanying drawings, and within the technical idea of the present invention, many simple modifications can be made to the technical solution of the present invention, and such simple modifications all belong to the protection scope of the present invention.
Claims (4)
1. A smoldering extreme early monitoring method is characterized by comprising the following steps of:
s1, installing ultrahigh frequency passive sensing tags before storage and transportation of an article, wherein each sensing tag has an ID corresponding to the sensing tag;
s2, monitoring the carbon monoxide concentration around the stored and transported object and the values of the environmental temperature and humidity factors through the ultrahigh frequency passive sensing tag;
s3, transmitting the monitored numerical value to a base station through radio electromagnetic waves, transmitting the numerical value to a remote main controller through the base station, and generating a dynamic cloud picture;
and S4, judging whether smoldering occurs or not based on the dynamic cloud picture, and positioning the position where the smoldering occurs.
2. The method for monitoring the smoldering combustion extremely early as recited in claim 1, wherein the monitoring in S2 is specifically as follows:
if abnormal changes such as carbon monoxide concentration higher than 24 ppm, ambient humidity lower than 60%, temperature obviously raised relative to ambient temperature occur around the stored and transported articles, the stored and transported articles are judged to be smoldered.
3. The smoldering ultra-early monitoring method as claimed in claim 1, wherein said ultra-high frequency passive sensing tag further has wireless energy collection and storage function, information processing and communication function;
the ultrahigh frequency passive sensing tag, a surrounding base station and an auxiliary base station form a cellular internet of things system;
and information is transmitted among the base station, the auxiliary base station and the sensing tag through wireless electromagnetic waves.
4. The method as claimed in claim 1, wherein the color of the cloud image of the location where the smoldering occurs in the dynamic cloud image of S4 is changed from dark to light.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211646560.5A CN115754173A (en) | 2022-12-21 | 2022-12-21 | Extremely early monitoring method for smoldering |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211646560.5A CN115754173A (en) | 2022-12-21 | 2022-12-21 | Extremely early monitoring method for smoldering |
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| Publication Number | Publication Date |
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| CN115754173A true CN115754173A (en) | 2023-03-07 |
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Citations (6)
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| KR20090059616A (en) * | 2007-12-07 | 2009-06-11 | 씨제이 지엘에스 주식회사 | Using rfid and automatic sensing technology as humidity and temperature management system and method |
| CN102536310A (en) * | 2012-03-07 | 2012-07-04 | 济南东之林智能软件有限公司 | Emergent danger avoiding system under shaft of coal mine |
| CN205486608U (en) * | 2016-01-26 | 2016-08-17 | 江苏润仪仪表有限公司 | Fire disaster alarm system |
| WO2021047350A1 (en) * | 2019-09-11 | 2021-03-18 | 北京海益同展信息科技有限公司 | Patrol apparatus, patrol system and method for temperature measurement |
| WO2021052340A1 (en) * | 2019-09-16 | 2021-03-25 | 电子科技大学 | Passive wireless magnetic field characteristic sensing tag and sensing system |
| CN113155318A (en) * | 2021-05-27 | 2021-07-23 | 无锡宝通智能物联科技有限公司 | Coal pile temperature monitoring device, system and method |
-
2022
- 2022-12-21 CN CN202211646560.5A patent/CN115754173A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20090059616A (en) * | 2007-12-07 | 2009-06-11 | 씨제이 지엘에스 주식회사 | Using rfid and automatic sensing technology as humidity and temperature management system and method |
| CN102536310A (en) * | 2012-03-07 | 2012-07-04 | 济南东之林智能软件有限公司 | Emergent danger avoiding system under shaft of coal mine |
| CN205486608U (en) * | 2016-01-26 | 2016-08-17 | 江苏润仪仪表有限公司 | Fire disaster alarm system |
| WO2021047350A1 (en) * | 2019-09-11 | 2021-03-18 | 北京海益同展信息科技有限公司 | Patrol apparatus, patrol system and method for temperature measurement |
| WO2021052340A1 (en) * | 2019-09-16 | 2021-03-25 | 电子科技大学 | Passive wireless magnetic field characteristic sensing tag and sensing system |
| CN113155318A (en) * | 2021-05-27 | 2021-07-23 | 无锡宝通智能物联科技有限公司 | Coal pile temperature monitoring device, system and method |
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