CN110655958B - Three-dimensional intelligent monitoring explosion suppression method based on coal gasification furnace body structure - Google Patents
Three-dimensional intelligent monitoring explosion suppression method based on coal gasification furnace body structure Download PDFInfo
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- CN110655958B CN110655958B CN201910799599.2A CN201910799599A CN110655958B CN 110655958 B CN110655958 B CN 110655958B CN 201910799599 A CN201910799599 A CN 201910799599A CN 110655958 B CN110655958 B CN 110655958B
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- C—CHEMISTRY; METALLURGY
- C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
- C10J—PRODUCTION OF PRODUCER GAS, WATER-GAS, SYNTHESIS GAS FROM SOLID CARBONACEOUS MATERIAL, OR MIXTURES CONTAINING THESE GASES; CARBURETTING AIR OR OTHER GASES
- C10J3/00—Production of combustible gases containing carbon monoxide from solid carbonaceous fuels
- C10J3/72—Other features
- C10J3/723—Controlling or regulating the gasification process
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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Abstract
The invention provides a three-dimensional intelligent monitoring explosion suppression system and method based on a coal gasification furnace body structure, which comprises a coal gasification furnace, an infrared thermal imager arranged around the coal gasification furnace, a controller, a terminal and an audible and visual alarm capable of sending out warning signals; the infrared thermal imager and the audible and visual alarm are respectively and electrically connected to the controller through wires; the controller is communicatively connected to a terminal; the powder storage tank is connected with the driving motor, the bottom of the powder storage tank is connected with the guide pipe, and the guide pipe is provided with a plurality of nozzles. The invention can realize real-time monitoring of temperature, automatically spray powder when the temperature reaches the threshold temperature, effectively eliminate the explosion danger caused by dust leakage in time, and automatically spray powder when the temperature is reduced to the threshold temperature. The explosion suppression device is simple to operate, safe, reliable, good in using effect, high in automatic operation degree, convenient to intelligently control and suitable for monitoring explosion dangerousness and actively suppressing explosion of the coal gasifier.
Description
Technical Field
The invention relates to the technical field of coal gasification furnaces, in particular to a three-dimensional intelligent monitoring explosion suppression method based on a coal gasification furnace body structure.
Background
The Chinese coal is characterized by high sulfur and high ash coal specific gravity, and simultaneously, the Chinese coal has low utilization efficiency, and the fire coal discharges a large amount of harmful gas and soot, so that the ecological environment is seriously damaged. The requirement for energy in the future is met through large-scale, comprehensive, clean and efficient utilization of coal, and the development of a coal gasification technology is an important measure for reducing environmental pollution, saving energy and developing industry. Coal gasification refers to the process of converting solid fuels such as coal, coke, semi-coke, etc. into gas products and a small amount of residues by reacting with a gasification agent under the conditions of high temperature, normal pressure or pressurization. Coal gasification is one of the important ways for clean utilization of Chinese coal.
In the process of coal gasification, based on the specific structure of the coal gasification furnace, the furnace body is provided with various interfaces connected with the outside, and a weak surface can exist under the state of high temperature and high pressure to cause dust leakage so as to cause explosion. Due to the unpredictable nature of dust leakage, it is necessary to design a monitoring explosion suppression system for coal gasification furnaces.
Disclosure of Invention
The invention aims to provide a three-dimensional intelligent monitoring explosion suppression system based on a coal gasification furnace body structure, which is safe, reliable and good in effect.
In order to achieve the purpose, the invention provides the following technical scheme: a three-dimensional intelligent monitoring explosion suppression system based on a coal gasification furnace body structure comprises a coal gasification furnace, an infrared thermal imager arranged around the coal gasification furnace, a controller, a terminal and an audible and visual alarm capable of sending out warning signals; the infrared thermal imager and the audible and visual alarm are respectively and electrically connected to the controller through wires; the controller is communicatively connected to a terminal; the powder storage tank is connected with the driving motor, the bottom of the powder storage tank is connected with the guide pipe, and the guide pipe is provided with a plurality of nozzles.
The infrared thermal imager and the guide pipe are respectively fixed on the bracket, the bracket is distributed around the coal gasifier at an angle of 120 degrees, and the guide pipe surrounds the coal gasifier through the bracket.
Furthermore, the controller is electrically connected with the plurality of infrared thermal imaging cameras and receives a plurality of signals.
Further, the nozzle comprises an inner nozzle and a lower nozzle, the inner nozzle is arranged on the guide pipe and faces towards the inner side of the coal gasifier, the lower nozzle is arranged on the guide pipe, a nozzle opening is vertically and downwards arranged, and the inner nozzle and the lower nozzle are both arc-shaped net structures.
The invention also provides a three-dimensional intelligent monitoring explosion suppression method based on the structure of the coal gasification furnace body, which comprises the following steps:
s1, constructing a coal gasifier deep learning database based on coal gasifier temperature distribution monitoring data;
s2, transmitting data acquired by the deep learning database to a cloud computing platform;
s3, acquiring current original temperature data by an infrared thermal imager arranged around the coal gasifier, preprocessing the current original temperature data, and transmitting the preprocessed original temperature data to a cloud computing platform;
s4, comparing temperature area range data obtained by experiments aiming at explosion of different coal gasification furnaces with temperature areas in a deep learning database to determine an optimal overload temperature area critical value S, and transmitting the optimal overload temperature area critical value S to a cloud computing platform;
s5, analyzing data through a cloud computing platform, comparing the data with a deep learning database, and judging whether the temperature monitored by the current infrared thermal imager exceeds an explosion temperature critical value or not;
s6, if the temperature monitored by the infrared thermal imager exceeds an explosion temperature critical value, performing sound-light alarm, sending temperature information to terminal equipment such as a mobile phone and the like, further judging the area S exceeding the explosion temperature critical value, starting nozzles at corresponding positions to perform precise fixed-point powder spraying if the overload temperature area temperature is less than the explosion temperature critical value S, and starting all nozzles to perform three-dimensional all-dimensional powder spraying if the overload temperature area temperature is greater than the explosion temperature critical value S;
s7, automatically stopping powder spraying after the temperature is reduced to be within a threshold value;
and S8, storing the temperature data serving as historical original temperature data into a deep learning database.
Further, in the step S1, the collected data temperatures respectively include historical original temperature data, other similar temperature data, temperature data in a safe state, and post-accident temperature distribution and variation trend data.
Further, in step S3, the temperature data collected by the thermal infrared imager is gridded, and different grid regions are associated with the nozzles at the relevant positions.
Further, in the step S6, the overload temperature area threshold S is selected to be 30%, 40%, 50%, 60% according to the environmental conditions of the coal gasification application.
Compared with the prior art, the invention at least comprises the following beneficial effects:
1. the invention can monitor the temperature data in real time, automatically spray powder when the temperature reaches the threshold value, effectively avoid the explosion of the leaked dust in time, and automatically stop spraying powder after the temperature is reduced to be within the threshold value. The operation is convenient, the safety and the reliability are realized, the using effect is good, and the practicability in the technical field is wide.
2. After the temperature rises to the threshold value, powder is automatically sprayed, the inner nozzle forms explosion suppression powder mist to absorb heat, the lower nozzle forms an explosion suppression barrier to isolate air, and the nozzles are distributed around the coal gasifier in a three-dimensional manner, so that the dust explosion can be effectively avoided, and the automatic operation degree of the device is improved.
3. The infrared thermal imager is adopted to collect temperature data in real time, so that the surface monitoring of the temperature of the coal gasification furnace is realized, and the accuracy and timeliness of the data are ensured.
4. The controller utilizes deep learning to make an accurate decision according to the temperature change range, carries out three-dimensional all-around powder spraying when the temperature change range is large, and carries out accurate fixed-point powder spraying if the temperature change range is local micro change, thereby achieving intelligent control.
5. The compressed gas of the driving motor is utilized to realize safe and rapid powder spraying, the powder spraying lag time is shortened, the response speed of the device is improved, the powder spraying efficiency is improved, and the timeliness and the initiative of explosion suppression are ensured.
6. And when the temperature reaches a threshold value, sound and light alarm is carried out, and temperature information is sent to terminal equipment such as a mobile phone, so that intelligent control is facilitated.
Drawings
FIG. 1 is a front view of the overall structure of the present invention;
FIG. 2 is a schematic view of the relative positions of an infrared thermal imager, a nozzle and a coal gasifier according to the present invention;
FIG. 3 is a schematic diagram of the working principle of the present invention;
in the figure: the method comprises the following steps of 1-a controller, 2-a terminal, 3-an infrared thermal imager, 4-a support, 5-a coal powder inlet, 6-a coal gasifier, 7-an internal nozzle, 8-a steam and oxygen inlet, 9-a crude synthesis gas outlet, 10-a high-temperature and high-pressure steam outlet, 11-a lower nozzle, 12-an ash residue outlet, 13-an audible and visual alarm, 14-a lead, 15-a guide pipe, 16-a powder storage tank, 17-a driving motor and 18-a power supply.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is to be noted that the experimental methods described in the following embodiments are all conventional methods unless otherwise specified, and the reagents and materials, if not otherwise specified, are commercially available; in the description of the present invention, the terms "lateral", "longitudinal", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Furthermore, the terms "horizontal", "vertical", "overhang" and the like do not imply that the components are required to be absolutely horizontal or overhang, but may be slightly inclined. For example, "horizontal" merely means that the direction is more horizontal than "vertical" and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the present application, it is further noted that, unless expressly stated or limited otherwise, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
As shown in fig. 1 and fig. 2, the invention provides a three-dimensional intelligent monitoring explosion suppression system based on a coal gasification furnace body structure, which comprises a coal gasification furnace 6, an infrared thermal imager 3 arranged around the coal gasification furnace, a controller 1, a terminal 2, and an audible and visual alarm 13 capable of sending out a warning signal; the infrared thermal imager 3 and the audible and visual alarm 13 are respectively and electrically connected to the controller 1 through leads 14; the controller 1 is communicatively connected to a terminal 2; the powder storage tank 16 is connected with the driving motor 17, the bottom of the powder storage tank 16 is connected with the guide pipe 15, and the guide pipe 15 is provided with a plurality of nozzles.
In the above embodiment, the coal gasification raw material enters the coal gasification furnace 6 from the coal powder inlet 5 and the steam and oxygen inlet 8, and the product is discharged from the raw synthesis gas outlet 9, the high-temperature and high-pressure steam outlet 10 and the ash outlet 12. The infrared thermal imager 3 collects temperature parameters in real time, the measured temperature image is uploaded to the controller 1 through the lead 14, when temperature data exceed a threshold temperature, the controller 1 controls the driving motor 17 to operate, the driving motor 17 compresses air to spray powder in the powder storage tank 16 along a nozzle on the guide pipe 15, an explosion suppression barrier is formed and the temperature is reduced, so that the temperature of the coal gasifier 6 is reduced to a safe temperature, meanwhile, the controller 1 controls the audible and visual alarm 13 to perform audible and visual alarm on site, and the controller 1 sends temperature information to the terminal 2. When the temperature drops below the threshold, the alarm is automatically released, the driving motor 17 stops operating, and the powder spraying stops. The process may also be controlled by the mobile terminal 2.
In the above embodiment, the controller 1 is in communication connection with the terminal 2, and the terminal 2 may be a mobile phone, a tablet computer, a PC, or other devices. When the threshold temperature is reached, the controller 1 sends alarm information to the terminal 2. The terminal 2 can not only receive the temperature information of the coal gasifier 6, but also remotely control the powder spraying process, and the power supply 18 supplies power to the driving motor 17, the controller 1 and other devices.
The further preferred embodiment is that the infrared thermal imaging camera 3 and the guide pipe 15 are respectively fixed on the support 4, the support 4 is distributed around the coal gasifier 6 at an angle of 120 degrees, and the guide pipe 15 surrounds the coal gasifier 6 through the support 4.
In the above embodiment, the thermal infrared imagers 3 are uniformly distributed around the coal gasifier 6 through the brackets 4, and a plurality of rows of thermal infrared imagers 3 can be arranged at equal intervals in the vertical direction, and the coverage area of the thermal infrared imagers 3 should cover all areas on the circumference of the whole coal gasifier 6.
In a further preferred embodiment, the controller 1 is electrically connected to a plurality of thermal infrared imagers 3 and receives a plurality of signals.
Further preferred is an embodiment, the nozzle comprises an inner nozzle 7 and a lower nozzle 11, the inner nozzle 7 is arranged on the conduit 15 towards the inner side of the coal gasifier 6, the lower nozzle 11 is arranged on the conduit 15, the nozzle opening is vertically arranged downwards, and the inner nozzle 7 and the lower nozzle 11 are both arc-shaped net structures.
In the above embodiment, the inner nozzles 7 and the lower nozzles 11 are provided to spray powder to the coal gasifier 6 in a plurality of directions, thereby achieving the purpose of rapid cooling.
As shown in fig. 3, the invention further provides a three-dimensional intelligent monitoring explosion suppression method based on the 6-body structure of the coal gasifier, which comprises the following steps:
s1, constructing a coal gasifier deep learning database based on coal gasifier temperature distribution monitoring data;
s2, transmitting data acquired by the deep learning database to a cloud computing platform;
s3, acquiring current original temperature data by an infrared thermal imager arranged around the coal gasifier, preprocessing the current original temperature data, and transmitting the preprocessed original temperature data to a cloud computing platform;
s4, comparing temperature area range data obtained by experiments aiming at explosion of different coal gasification furnaces with temperature areas in a deep learning database to determine an optimal overload temperature area critical value S, and transmitting the optimal overload temperature area critical value S to a cloud computing platform;
s5, analyzing data through a cloud computing platform, comparing the data with a deep learning database, and judging whether the temperature monitored by the current infrared thermal imager exceeds an explosion temperature critical value or not;
s6, if the temperature monitored by the infrared thermal imager exceeds an explosion temperature critical value, performing sound-light alarm, sending temperature information to terminal equipment such as a mobile phone and the like, further judging the area S exceeding the explosion temperature critical value, starting nozzles at corresponding positions to perform precise fixed-point powder spraying if the overload temperature area temperature is less than the explosion temperature critical value S, and starting all nozzles to perform three-dimensional all-dimensional powder spraying if the overload temperature area temperature is greater than the explosion temperature critical value S;
s7, automatically stopping powder spraying after the temperature is reduced to be within a threshold value;
and S8, storing the temperature data serving as historical original temperature data into a deep learning database.
It is further preferable that, in step S1, the collected data temperatures respectively include historical original temperature data, other similar temperature data, temperature data in a safe state, and post-accident temperature distribution and change trend data.
It is further preferable that, in step S3, the temperature data acquired by the thermal infrared imager is gridded, and different grid regions are associated with the nozzles at the relevant positions.
It is further preferred that in step S6, the overload temperature area threshold S is selected to be 30%, 40%, 50%, 60% according to the environmental conditions of the coal gasification application.
The above-described embodiments are merely illustrative of the preferred embodiments of the present invention and do not limit the spirit and scope of the present invention. Various modifications and improvements of the technical solutions of the present invention may be made by those skilled in the art without departing from the design concept of the present invention, and the technical contents of the present invention are all described in the claims.
Claims (4)
1. A three-dimensional intelligent monitoring explosion suppression method based on a coal gasification furnace body structure is characterized in that: the explosion suppression system is used for intelligently monitoring and suppressing explosion of a coal gasification furnace body structure, and comprises a coal gasification furnace, an infrared thermal imager arranged around the coal gasification furnace, a controller, a terminal and an audible and visual alarm capable of sending out warning signals; the infrared thermal imager and the audible and visual alarm are respectively and electrically connected to the controller through wires; the controller is communicatively connected to a terminal; the powder storage tank is connected with a driving motor, the bottom of the powder storage tank is connected with a guide pipe, and a plurality of nozzles are arranged on the guide pipe; the infrared thermal imager and the guide pipe are respectively fixed on the bracket, the bracket is distributed around the coal gasifier at an angle of 120 degrees, and the guide pipe surrounds the coal gasifier through the bracket; the controller is electrically connected with the plurality of infrared thermal imagers and receives a plurality of signals; the nozzles comprise inner nozzles and lower nozzles, the inner nozzles are arranged on the guide pipe and face towards the inner side of the coal gasifier, the lower nozzles are arranged on the guide pipe, nozzle openings are vertically arranged downwards, and the inner nozzles and the lower nozzles are of arc-shaped net structures;
the method specifically comprises the following steps:
s1, constructing a coal gasifier deep learning database based on coal gasifier temperature distribution monitoring data;
s2, transmitting data acquired by the deep learning database to a cloud computing platform;
s3, acquiring current original temperature data by an infrared thermal imager arranged around the coal gasifier, preprocessing the current original temperature data, and transmitting the preprocessed original temperature data to a cloud computing platform;
s4, comparing temperature area range data obtained by experiments aiming at explosion of different coal gasification furnaces with temperature areas in a deep learning database to determine an optimal overload temperature area critical value S, and transmitting the optimal overload temperature area critical value S to a cloud computing platform;
s5, analyzing data through a cloud computing platform, comparing the data with a deep learning database, and judging whether the temperature monitored by the current infrared thermal imager exceeds an explosion temperature critical value or not;
s6, if the temperature monitored by the infrared thermal imager exceeds an explosion temperature critical value, performing sound-light alarm, sending temperature information to terminal equipment such as a mobile phone and the like, further judging the area S exceeding the explosion temperature critical value, starting nozzles at corresponding positions to perform precise fixed-point powder spraying if the overload temperature area temperature is less than the explosion temperature critical value S, and starting all nozzles to perform three-dimensional all-dimensional powder spraying if the overload temperature area temperature is greater than the explosion temperature critical value S;
s7, automatically stopping powder spraying after the temperature is reduced to be within a threshold value;
and S8, storing the temperature data serving as historical original temperature data into a deep learning database.
2. The coal gasification furnace structure-based three-dimensional intelligent monitoring and explosion suppression method according to claim 1, characterized in that: in the step S1, the collected data temperatures respectively include historical original temperature data, other similar temperature data, temperature data in a safe state, and post-accident temperature distribution and variation trend data.
3. The coal gasification furnace structure-based three-dimensional intelligent monitoring and explosion suppression method according to claim 1, characterized in that: in step S3, the temperature data collected by the thermal infrared imager is gridded, and different grid regions are associated with the nozzles at the relevant positions.
4. The coal gasification furnace structure-based three-dimensional intelligent monitoring and explosion suppression method according to claim 1, characterized in that: in step S6, the overload temperature area threshold S is selected to be 30%, 40%, 50%, 60% according to the environmental conditions of the coal gasification application.
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| CN113172119A (en) * | 2021-04-01 | 2021-07-27 | 刘冬 | Bending part constant temperature control system in die working, control method, terminal and medium |
| CN114958437B (en) * | 2022-05-20 | 2023-07-18 | 中国石油化工股份有限公司 | Three-dimensional monitoring method and system for coal gasification device |
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