CN114486316A - Early warning device of intelligence perception coal sampling machine trouble - Google Patents
Early warning device of intelligence perception coal sampling machine trouble Download PDFInfo
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- CN114486316A CN114486316A CN202210132630.9A CN202210132630A CN114486316A CN 114486316 A CN114486316 A CN 114486316A CN 202210132630 A CN202210132630 A CN 202210132630A CN 114486316 A CN114486316 A CN 114486316A
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- 239000003245 coal Substances 0.000 title claims abstract description 81
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- 238000005303 weighing Methods 0.000 claims abstract description 25
- 238000006243 chemical reaction Methods 0.000 claims abstract description 14
- 230000008859 change Effects 0.000 claims abstract description 11
- 238000012544 monitoring process Methods 0.000 claims abstract description 7
- 230000000007 visual effect Effects 0.000 claims abstract description 7
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000004886 process control Methods 0.000 claims description 4
- 238000004088 simulation Methods 0.000 claims 1
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- 230000007547 defect Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
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- 229910000831 Steel Inorganic materials 0.000 description 1
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- 238000013461 design Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/008—Subject matter not provided for in other groups of this subclass by doing functionality tests
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Abstract
The invention discloses an early warning device for intelligently sensing faults of a coal sampling machine, which comprises a coal sample receiving device, a sample collection barrel weighing device, an A/D (analog/digital) conversion device, an I/O (input/output) interface and a DCS (distributed control system) display module; the coal sample receiving device is used for collecting the coal sample collected by the sampling machine; the sample collection barrel weighing device is used for weighing the coal samples falling into the sample collection barrel in real time; the A/D conversion device is connected with the sample collection barrel weighing device and is used for converting a weight physical analog quantity signal sent by a sensor of the sample collection barrel weighing device into a digital signal and transmitting the digital signal to the I/O interface; the I/O interface is used for connecting relevant signals of the sample collection barrel weighing device with the DCS; and the DCS display module is used for performing visual real-time monitoring and early warning on the coal sample quality change trend falling into the sample collection device through the analog instrument. The invention can find the fault problem of the system in time according to the quality change trend of the sample collecting barrel of the coal sampler and arrange technical personnel to remove the fault problem.
Description
Technical Field
The invention belongs to the technical field of thermal power generation equipment fault detection, and particularly relates to an early warning device for intelligently sensing faults of a coal sampling machine.
Background
The fuel cost accounts for 50-70% of the power generation cost of the thermal power plant, and the quality of the power generation coal directly relates to the cost of the thermal power plant and the safe and economic operation of a boiler unit. Therefore, the coal quality supervision of the coal as fired and the coal as fired is an important link in the overall process management of the fuel of the power plant.
In coal quality supervision, a sampling link is a loop with the largest influence factor on quality in coal mining and preparation, and the influence ratio is up to 80% from the viewpoint of variance analysis. At present, a coal sampling machine is widely applied to a power plant, the automation degree of the sampling process is obviously improved, the labor intensity of personnel is greatly reduced, and meanwhile, the interference of human factors on sampling is effectively avoided. However, in the practical application process of coal sampling, due to the influence of factors such as unreasonable structural design, coal quality condition variation and the like, a sampling machine often breaks down, and the sampling machine cannot normally operate. The failure causes are coal blockage caused by coal with high moisture and high viscosity, and system blockage caused by gangue, large coal blocks and other foreign matters (iron blocks, wood blocks, steel wire ropes, hemp ropes, plastic products and the like). Particularly, when the total moisture of the coal is over 10%, the situation that the system of the sampling machine is not smooth occurs occasionally. The sampling machine coal blockage can directly influence the representativeness of sampling, and under the serious condition of coal blockage, the potential safety hazards such as motor burnout can even be caused to the equipment, and the adverse effect is generated on the normal production of a power plant.
At present, a power plant usually checks and eliminates the fault of a sampling machine on site by a point check mode of a maintainer, but the method has obvious hysteresis and cannot find the fault of the sampling machine in time and complete rush repair. Therefore, the early warning device for automatically detecting the coal sampling and sample preparation faults is very urgent to develop, and has very important significance for timely finding the faults of the sampling machine and guaranteeing the safe and reliable operation of a fuel system.
Disclosure of Invention
The invention aims to solve the technical problem that the fault of the coal sampling machine can be found and solved in time by providing the early warning device for intelligently sensing the fault of the coal sampling machine aiming at the defects of the prior art.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
an early warning device for intelligently sensing faults of a coal sampling machine comprises a coal sample receiving device, a sample collection barrel weighing device, an A/D conversion device, an I/O interface and a DCS display module;
the coal sample receiving device is used for collecting the coal sample collected by the sample collecting barrel sampling machine;
the sample collecting barrel weighing device is arranged below the coal sample receiving device and is used for weighing the coal samples falling into the sample collecting barrel in real time;
the A/D conversion device is connected with the sample collection barrel weighing device and is used for converting a mass physical analog quantity signal sent by a sensor of the sample collection barrel weighing device into a digital signal and transmitting the digital signal to the I/O interface;
the I/O interface is used for connecting relevant signals of the on-site sample collection barrel weighing device with the remote DCS;
and the DCS display module is used for performing visual real-time monitoring and early warning on the coal sample quality change trend falling into the sample collection device through the analog instrument.
In order to optimize the technical scheme, the specific measures adopted further comprise:
the coal sample receiving device is placed below the coal dropping pipe of the splitter, and the coal sample collected by the sampling machine sequentially passes through the feeder, the crusher and the splitter to be processed and then falls into the coal sample receiving device through the coal dropping pipe of the splitter.
The A/D converter completes the effective conversion of standard signal via the transducer and the signal is sent to the I/O interface.
The I/O interface is provided for the DCS system and is arranged on an I/O board in the DCS system.
Foretell DCS system display module falls into the visual real time monitoring early warning of collection appearance device coal sample quality variation trend through analog instrument, and is specific:
and the working condition of the sampling machine is intuitively reflected through a mass increment (delta m) -time (t) change curve.
In the DCS display module, when the mass increment (Delta m) -time (t) is obviously reduced, the sampling machine is indicated to have a blocking fault, and the quantity of coal samples falling into the receiving device is reduced;
when the mass increment (. DELTA.m) vs. time (t) curve goes to 0, it indicates complete blockage.
In the DCS display module, when the abnormal working condition of the sampling machine is monitored, the output of the related control signal of the automatic sampling device is completed at the operation station, the process control work of the field actuator is realized, and meanwhile, a technician can be dispatched to the field in time to take effective treatment measures.
The invention has the following beneficial effects:
the invention can find the fault problem of the system in time according to the quality change rule of the sample collecting barrel of the coal sampler and arrange technical personnel to remove the fault problem. The invention effectively ensures the safe and reliable operation of the automatic sampling device and ensures the representativeness of the sampled products. Meanwhile, the maintenance personnel do not need to go to the site for fault detection regularly, a large amount of labor cost is saved, the reliability of system defect elimination is improved, and the method has good technical and economic benefits.
Drawings
FIG. 1 is a view showing the construction of an apparatus according to the present invention;
the reference signs are: the device comprises a 1-coal sample receiving device, a 2-sample collection barrel weighing device, a 3-A/D conversion device, a 4-I/O interface and a 5-DCS system display module.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
Referring to fig. 1, the early warning device for intelligently sensing the fault of the coal sampling machine comprises a coal sample receiving device 1, a sample collection barrel weighing device 2, an A/D conversion device 3, an I/O interface 4 and a DCS display module 5;
the coal sample receiving device 1 is arranged below the coal dropping pipe of the splitter and is used for collecting the coal sample collected by the sample collecting barrel sampling machine;
namely, the coal sample taken by the sampling machine sequentially passes through the feeder, the crusher and the splitter to be processed and then falls into the sample collection barrel of the coal sample receiving device 1 through the coal dropping pipe.
The sample collecting barrel weighing device 2 is arranged below the coal sample receiving device 1 and is used for weighing the coal samples falling into the sample collecting barrel in real time;
the A/D conversion device 3 is connected with the sample collection barrel weighing device 2 and is used for converting a physical mass analog quantity signal sent by a sensor of the sample collection barrel weighing device 2 into a digital signal and transmitting the digital signal to the I/O interface 4, namely, the transmitter is used for completing effective conversion of a standard signal, and the signal is sent to an I/O module (board) in a DCS (distributed control system);
the I/O interface 4 is provided for the DCS and is used for connecting relevant signals of the on-site sample collection barrel weighing device 2 with the remote DCS to realize conversion and processing of the relevant signals;
and the DCS display module 5 is used for performing visual real-time monitoring and early warning on the coal sample quality change trend falling into the sample collection device through the analog instrument.
Under the fixed working condition of the sampling device, the quality of the sample falling into the coal sample receiving device within a certain time (t) interval slightly changes around a specific value, so that the working condition of the sampling machine can be intuitively reflected through a quality increment (delta m) -time (t) change curve. When the sampling machine has a blockage fault, the amount of coal samples falling into the receiving device is reduced, the mass increment (delta m) -time (t) is abnormally reduced, the blockage situation is serious, and the mass increment (delta m) -time (t) can even be close to 0. When the abnormal condition occurs, the software function can be utilized to complete the output of the relevant control signal of the automatic sampling device at the operation station, thereby realizing the process control work of the field actuator. Meanwhile, technicians can be dispatched in time to attend the scene to take effective treatment measures.
In the embodiment that promptly, DCS system display module 5 carries out the visual real time monitoring early warning that falls into collection appearance device coal sample quality trend through analog instrument, and is specific:
and the working condition of the sampling machine is intuitively reflected through a mass increment (delta m) -time (t) change curve.
When the mass increment (Delta m) -time (t) is obviously reduced, the sampling machine is indicated to have a blocking fault, and the amount of the coal sample falling into the receiving device is reduced;
when the mass increment (Delta m) -time (t) is close to 0, the blockage is completely indicated.
In the DCS display module 5, when the abnormal working condition of the sampling machine is monitored, the output of the related control signal of the automatic sampling device is completed in the operation station, the process control work of the field actuator is realized, and meanwhile, a technician can be dispatched to the field in time to take effective treatment measures.
The invention can find the fault problem of the system in time according to the quality change rule of the sample collecting barrel of the coal sampler and arrange technical personnel to remove the fault problem. The invention effectively ensures the safe and reliable operation of the automatic sampling device and ensures the representativeness of the sampled products. Meanwhile, a maintainer does not need to go to the site regularly to perform fault detection, a large amount of labor cost is saved, the reliability of system defect elimination is improved, and the method has better technical and economic benefits.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (7)
1. The early warning device for intelligently sensing the fault of the coal sampling machine is characterized by comprising a coal sample receiving device (1), a sample collection barrel weighing device (2), an A/D conversion device (3), an I/O interface (4) and a DCS display module (5);
the coal sample receiving device (1) is used for collecting the coal sample collected by the sampling machine through the sample collecting barrel;
the sample collecting barrel weighing device (2) is arranged below the coal sample receiving device (1) and is used for weighing the coal samples falling into the sample collecting barrel in real time;
the A/D conversion device (3) is connected with the sample collection barrel weighing device (2) and is used for converting a physical mass analog quantity signal sent by a sensor of the sample collection barrel weighing device (2) into a digital signal and transmitting the digital signal to the I/O interface (4);
the I/O interface (4) is used for connecting relevant signals of the field sample collecting barrel weighing device (2) with a remote DCS (distributed control system);
and the DCS display module (5) is used for performing visual real-time monitoring and early warning on the coal sample quality change trend of the coal sample falling into the sample collection device through the analog instrument.
2. The early warning device for intelligently sensing the fault of the coal sampling machine according to claim 1, wherein the coal sample receiving device (1) is placed below a coal dropping pipe of the splitter, and the coal sample sampled by the sampling machine sequentially passes through a feeder, a crusher and the splitter to be processed and then falls into the coal sample receiving device (1) through the coal dropping pipe of the splitter.
3. The early warning device for intelligently sensing the fault of the coal sampling machine according to claim 1, wherein the A/D conversion device (3) completes effective conversion of a standard signal through a transmitter, and the signal is sent to the I/O interface (4).
4. The early warning device for intelligently sensing the fault of the coal sampling machine according to claim 1, wherein the I/O interface (4) is an I/O interface provided by a DCS system and is arranged on an I/O board in the DCS system.
5. The early warning device for intelligently sensing the fault of the coal sampling machine according to claim 1, wherein the DCS display module (5) performs visual real-time monitoring and early warning on the change trend of the quality of the coal sample falling into the sample collection device through a simulation instrument, specifically:
and the working condition of the sampling machine is visually reflected by a mass increment delta m-time t curve.
6. The early warning device for intelligently sensing the fault of the coal sampling machine according to claim 5, wherein in the DCS display module (5), when the mass increment Deltam-time t is obviously reduced, the sampling machine is indicated to have a blockage fault, and the quantity of the coal sample falling into the receiving device is reduced;
when the mass increment Deltam-time t reaches 0, the blockage is completely stopped.
7. The early warning device for intelligently sensing the fault of the coal sampling machine as claimed in claim 5, wherein in the DCS display module (5), when the abnormal working condition of the sampling machine is monitored, the output of the relevant control signal of the automatic sampling device is completed in the operation station, so that the process control work of the field actuator is realized, and meanwhile, a technician can be dispatched in time to go to the field to take effective treatment measures.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210132630.9A CN114486316A (en) | 2022-02-14 | 2022-02-14 | Early warning device of intelligence perception coal sampling machine trouble |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210132630.9A CN114486316A (en) | 2022-02-14 | 2022-02-14 | Early warning device of intelligence perception coal sampling machine trouble |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102749217A (en) * | 2012-08-01 | 2012-10-24 | 北京冶联科技有限公司 | System and method for intelligent division of coal samples in heat power plant |
| CN106125707A (en) * | 2016-08-30 | 2016-11-16 | 祖传琦 | Thermal power plant coal conveyer belt runs intelligent aid system |
| CN209055345U (en) * | 2018-08-22 | 2019-07-02 | 华电电力科学研究院有限公司 | A kind of mechanical sampling device sample collection device with weighing and storage function |
| CN110823620A (en) * | 2019-11-14 | 2020-02-21 | 上海明华电力科技有限公司 | Coal as fired sampling and coal quality analysis system |
| CN215726869U (en) * | 2021-02-04 | 2022-02-01 | 阳城国际发电有限责任公司 | Coal sampler is with stifled detection device is prevented to coal sample, fire coal sample thief |
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- 2022-02-14 CN CN202210132630.9A patent/CN114486316A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102749217A (en) * | 2012-08-01 | 2012-10-24 | 北京冶联科技有限公司 | System and method for intelligent division of coal samples in heat power plant |
| CN106125707A (en) * | 2016-08-30 | 2016-11-16 | 祖传琦 | Thermal power plant coal conveyer belt runs intelligent aid system |
| CN209055345U (en) * | 2018-08-22 | 2019-07-02 | 华电电力科学研究院有限公司 | A kind of mechanical sampling device sample collection device with weighing and storage function |
| CN110823620A (en) * | 2019-11-14 | 2020-02-21 | 上海明华电力科技有限公司 | Coal as fired sampling and coal quality analysis system |
| CN215726869U (en) * | 2021-02-04 | 2022-02-01 | 阳城国际发电有限责任公司 | Coal sampler is with stifled detection device is prevented to coal sample, fire coal sample thief |
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