CN201740726U - Online coal quality recognition apparatus - Google Patents
Online coal quality recognition apparatus Download PDFInfo
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- CN201740726U CN201740726U CN2010202181935U CN201020218193U CN201740726U CN 201740726 U CN201740726 U CN 201740726U CN 2010202181935 U CN2010202181935 U CN 2010202181935U CN 201020218193 U CN201020218193 U CN 201020218193U CN 201740726 U CN201740726 U CN 201740726U
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Abstract
The utility model provides an online coal quality recognition apparatus, which comprises a full-spectrum photoelectric sensor, a field control box, a data collecting and processing unit, and a main master equipment cabinet wherein the main master equipment cabinet is connected to the field control box through a control cable and a flame detecting head is pulled out by an exclusively used connecting rope; a flame detector is mounted on the flame detecting head; the full spectrum photoelectric sensor is provided inside the field control box, and the characteristics of the flames are converted into photoelectric signals before being transmitted into the data collecting system. The photoelectric signals are then amplified, filtered and transmitted into a spectrum analyzing and mould building software unit wherein self-learning and self-adjusting process takes place through a neural network to acquire the characteristics of a certain kind of coal. The whole system of the utility model is easy to install and causes no damage to external environment especially to the security. Capable of self-learning and self-adjusting, the system continuously updates database of various coals, thereby, achieving precise online quality detection of various coals.
Description
Technical field
The utility model belongs to energy field, relates to a kind of online coal quality identification device.
Background technology
Judge the boiler combustion stability state, the unsettled reason of analytic combustion, thereby instruct the operations staff to carry out correct operation, be of facing of a lot of thermal power plant extremely important also be the problem that presses for solution.At this problem, need carry out some more deep researchs to boiler combustion stability, the boiler combustion situation is made promptly and accurately judgement, so that improve the security and the stability of unit operation, make the boiler burn steadily, reduce the burner hearth fire extinguishing and throw oily number of times, thereby improve the economic benefit of whole unit operation.
Go into the online detection of stove ature of coal and become the key factor that administration of energy conservation and burning optimization are adjusted.Traditional based on chemico-analytic coal quality detecting method owing to have testing result accuracy height, use characteristic of simple, generally adopt in the fuel-burning power plant.But this method just can be finished one-time detection in several hours, can not in time reflect the ature of coal situation of change, was difficult to satisfy the requirement that real-time performance is calculated and optimized.
Summary of the invention
In order to overcome the above problems, the utility model provides a kind of online coal quality identification device, and this device is by going into the self study of stove ature of coal, and the coal data storehouse coal data of enriching constantly is realized the accurate online detection of ature of coal.
To achieve these goals, the utility model adopts following scheme: a kind of online coal quality identification device is by full spectral light electric probe, the field control case, data acquisition and processing unit, compositions such as base cabinet, wherein, base cabinet connects the field control case by umbilical cable, and pull out full spectral light electric probe with special-purpose connecting line, full spectral light electric probe is installed on the position that is equal to on-the-spot flame detecting probe, full spectral light electric transducer is arranged in the full spectral light electric probe, flame characteristic changes into photosignal, enter harvester, after amplifying filtration, deliver to spectral analysis and modeling software unit, by the Neural Network Self-learning adaptive process, draw coal characteristic.The package unit simple installation, external environment condition is particularly installed not influence of safety.
Further, this technology is based on the intelligent device of computer technology and control technology, the flame characteristic data are gathered in real time, amplify, transmit, analyzed and handle, the on-the-spot flame of monitoring obtains coal-fired information in real time, give control device and fortune value personnel with corresponding data, for safety in production, optimized combustion provide accurate information.
Described spectral analysis and modeling software unit adopt full spectral light electric probe and real-time-efficient-adaptive neural network model technology, specify as follows:
Full spectral light electric probe has the advanced function of optoelectronic scanning, full spectral signature measurement, vestige tracking.Can be used for discerning coal-fired matter class, monitoring flame holding and combustion conditions etc.
Start with from burning of coal mechanism, develop flame characteristic and ature of coal model, go into the identification of stove ature of coal by modes such as modeling, multidimensional data analysis, data base administrations.
Compared with prior art, advantage of the present utility model is: by going into the self study of stove ature of coal, the coal data storehouse coal data of enriching constantly is realized the accurate online detection of ature of coal.Coal data after the identification carries out quick test with the speed of level second, and check data flowed to control system (DCS) in real time, as main production target computing foundation, become the important feed-forward signal in fuel-burning power plant, for coal-supplying amount, burn air distribution, desuperheating water input, burning optimization etc. under coal pulverizer control accuracy, the multi-state provide numerical value most effectively.
Description of drawings
Fig. 1 is the structural representation of the described a kind of online coal quality identification device of utility model;
Fig. 2 is the workflow diagram of a kind of online coal quality identification device described in the utility model;
Wherein, 1-electric wire, 2-rack, 3-umbilical cable, 4-field control case, the special-purpose connecting line of 5-, the full spectral light electric probe of 6-, 7-boiler.
Embodiment
Below in conjunction with the drawings and specific embodiments the utility model is described in further detail, but not as to qualification of the present utility model.
Embodiment 1: referring to Fig. 1, a kind of online coal quality identification device is made up of electric wire 1, rack 2, umbilical cable 3, field control case 4, special-purpose connecting line 5 and full spectral light electric probe 6, wherein electric wire 1 connects rack 2, give whole device power supply, rack 2 connects field control case 4 by umbilical cable 3, field control case 4 is drawn full spectral light electric probe 6 by special-purpose connecting line 5, gathers flare up fire by full spectral light electric probe 6 in boiler 7.
Further, comprise full spectral light electric probe, data acquisition and processing unit, wherein, flame characteristic changes into photosignal, enters harvester, delivers to spectral analysis and modeling software unit after amplifying filtration, by the Neural Network Self-learning adaptive process, draw coal characteristic.
Further, referring to Fig. 2, described ature of coal Feature Extraction Technology is based on the intelligent device of computer technology and control technology, the flame characteristic data are gathered in real time, amplify, transmit, analyzed and handle, the on-the-spot flame of monitoring obtains coal-fired information in real time, give control device and fortune value personnel with corresponding data, for safety in production, optimized combustion provide accurate information.
The above; it only is the embodiment in the utility model; but protection domain of the present utility model is not limited thereto; anyly be familiar with the people of this technology in the disclosed technical scope of the utility model; conversion or the replacement expected can be understood, all of the present utility model comprising within the scope should be encompassed in.Therefore, protection domain of the present utility model should be as the criterion with the protection domain of claims.
Claims (1)
1. online coal quality identification device, comprise rack (2), umbilical cable (3), field control case (4), special-purpose connecting line (5) and full spectral light electric probe (6), rack (2) connects field control case (4) by umbilical cable (3), field control case (4) connects full spectral light electric probe (6) by special-purpose connecting line (5), it is characterized in that: establish data acquisition and processing unit in described rack (2) base cabinet, and full spectral light electric probe is passed through umbilical cable, field control case and special-purpose connecting line are connected to data acquisition and processing unit.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CN2010202181935U CN201740726U (en) | 2010-06-08 | 2010-06-08 | Online coal quality recognition apparatus |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
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CN2010202181935U CN201740726U (en) | 2010-06-08 | 2010-06-08 | Online coal quality recognition apparatus |
Publications (1)
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CN201740726U true CN201740726U (en) | 2011-02-09 |
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CN2010202181935U Expired - Lifetime CN201740726U (en) | 2010-06-08 | 2010-06-08 | Online coal quality recognition apparatus |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101852728A (en) * | 2010-06-08 | 2010-10-06 | 北京华圣金程科技有限公司 | Online coal quality identification device and method |
CN104699064A (en) * | 2015-03-20 | 2015-06-10 | 东南大学 | Coal quality self-correcting and predictive control method for coordinated control system of thermal power generating unit |
CN105787411A (en) * | 2016-03-22 | 2016-07-20 | 华中科技大学 | Non-contact coal type automatic identification and tracer system and method |
-
2010
- 2010-06-08 CN CN2010202181935U patent/CN201740726U/en not_active Expired - Lifetime
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101852728A (en) * | 2010-06-08 | 2010-10-06 | 北京华圣金程科技有限公司 | Online coal quality identification device and method |
CN104699064A (en) * | 2015-03-20 | 2015-06-10 | 东南大学 | Coal quality self-correcting and predictive control method for coordinated control system of thermal power generating unit |
CN104699064B (en) * | 2015-03-20 | 2017-03-08 | 东南大学 | A kind of ature of coal self-tuning model method of fired power generating unit coordinated control system |
CN105787411A (en) * | 2016-03-22 | 2016-07-20 | 华中科技大学 | Non-contact coal type automatic identification and tracer system and method |
CN105787411B (en) * | 2016-03-22 | 2018-10-16 | 华中科技大学 | A kind of contactless coal automatic identification and tracing system and method |
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Granted publication date: 20110209 |
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CX01 | Expiry of patent term |