CN102854099B - Automatic online detecting method for large-size particles in pneumatic conveying pipeline - Google Patents
Automatic online detecting method for large-size particles in pneumatic conveying pipeline Download PDFInfo
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- CN102854099B CN102854099B CN201210344561.4A CN201210344561A CN102854099B CN 102854099 B CN102854099 B CN 102854099B CN 201210344561 A CN201210344561 A CN 201210344561A CN 102854099 B CN102854099 B CN 102854099B
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Abstract
The invention discloses an automatic online detecting method for large-size particles in a pneumatic conveying pipeline, and belongs to the technical scope of online measurement for gas and solid double-phase flow. The automatic online detecting method includes integrating an acoustic sensor and a crash sensor in the same sensor system packaging box; mounting the sensor system packaging box at an elbow of the pneumatic conveying pipeline; simultaneously conditioning, sampling and processing two channels of signals by a built-in processing board; respectively enabling the acoustic sensor and the crash sensor to acquire sound and vibration which are generated when the large-size particles are collided with a pipeline wall; suppressing environmental noise contained in the acoustic signals and the collision signals by a process combining time-domain analysis with frequency-domain analysis; and extracting the characteristics of the signals generated when the large-size particles are collided with the pipeline wall to achieve the purpose of effectively detecting the large-size particles. The automatic online detecting method for the large-size particles is novel, accurate and reliable, and has the advantages of low cost and easiness in installation and maintenance.
Description
Technical field
The invention belongs to Dual-Phrase Distribution of Gas olid line Measurement Technique scope, being particularly related to a kind of large-size particles online automatic detection method in Pneumatic conveying pipeline, is the device and method of large-size particles (as wood pellet fuel) in a kind of online automatic detection Pneumatic conveying pipeline of and collision dual sensor quick based on sound specifically.
Background technology
In recent years, in the face of fossil energy resource is day by day exhausted, environmental pollution is day by day serious and global warming threatens the situation increasing, many coal-burning power plants, countries in the world start to adopt coal dust and living beings to burn altogether or generating power with biomass combustion technology, to reduce the discharge of carbon dioxide.Different from coal dust, the biomass fuel that is transported to power plant needs first by separation vessel, the biological particles (several millimeters are to tens millimeters) of the living beings dust of small particle diameter (several microns are to tens microns) and large particle diameter is separated conventionally.Isolated small particle diameter dust is directly as fuel combustion, and large-size particles grinds to form dust after-combustion by flour mill.Yet separation vessel operation is often difficult to optimal control, when separation departs from optimization running status, in the living beings small particle diameter dust after separation, can be mingled with the particle of large particle diameter.Directly burning can cause incomplete combustion with the living beings dust of large-size particles, combustion instability, and the thermal efficiency reduces, and disposal of pollutants increases, and even by forced-stopping machine, to power plant, causes heavy losses.Therefore, the automatic on-line of bulky grain living beings in power plant's living beings dust fluid is detected, contribute to improve security and the burning efficiency of boiler combustion, reduce pollutant emission.
In existing online grain graininess measuring technique, comparative maturity have an optical imagery method, but it exists camera lens easily to pollute, and the complicated and difficult shortcoming of safeguarding is installed.The present invention realizes the large-size particles in online automatic detection Pneumatic conveying pipeline by sound is quick with collision dual sensor.Utilize the magneticaction of magnet that sensor device absorption is arranged on duct wall.The present invention is simple in structure, and cost is low, easily safeguards, is a kind of novelty, online automatic detection method reliably and accurately.
Summary of the invention
The object of this invention is to provide a kind of large-size particles online automatic detection method in Pneumatic conveying pipeline, it is characterized in that, utilize acoustic sensor and crash sensor to catch respectively large-size particles and clash into sound and the vibrations that duct wall produces, the method that adopts time-domain analysis and frequency-domain analysis to combine, the neighbourhood noise comprising in the quick signal of inhibition sound and collision alarm, extract the signal characteristic that large-size particles clashes into duct wall, reach the object of effective detection large-size particles; First acoustic sensor and crash sensor are integrated in same sensing system encapsulation box, built-in signal-processing board is nursed one's health, samples and process this two paths of signals simultaneously, and sensing system is encapsulated to the pipe bent position that box is arranged on Pneumatic conveying pipeline, it is the strongest that bulky grain clashes into duct wall herein, thereby obtain better signal to noise ratio (S/N ratio).
Described sensing system encapsulation box adopts the magneticaction absorption of magnet to be arranged on tested pipeline, makes the installation of sensing system simple, easily.
Described crash sensor is installed and is close to system in package box by tested pipeline inside bottom on one side, to play the effect that not only can protect sensor but also can obtain higher sensitiveness to shock.
Described crash sensor is piezoelectric ceramics or piezoelectric membrane, the object of using to reach long-time continuous.
The method frequency domain analytical approach that described time-domain analysis and frequency-domain analysis combine is to utilize effective particle signal and neighbourhood noise in the feature of different frequency bands, adopts Hi-pass filter to carry out pre-service to voice signal and collision alarm, improves signal to noise ratio (S/N ratio).
The method that described time-domain analysis and frequency-domain analysis combine is for setting up maximum noise amplitude threshold and numbers of particles threshold values to detect filtered two paths of signals, if the interior arbitrary road of certain hour window signal is greater than the signal peak number of maximum noise amplitude threshold and is greater than numbers of particles threshold values, think and have the particle of large particle diameter in Pneumatic conveying pipeline, otherwise, think and do not have the particle of large particle diameter in Pneumatic conveying pipeline.
The invention has the beneficial effects as follows large-size particles online automatic detection method in the Pneumatic conveying pipeline that proposes a kind of and collision dual sensor quick based on sound.The method adopts acoustic sensor and crash sensor to catch respectively sound and vibrations that large-size particles shock duct wall produces, and utilizes time frequency analysis to extract Impact Characteristic and detect large-size particles.The present invention adopts the integrated form of dual sensor, and both are complementary, has improved the sensitivity and the reliability that detect.The present invention compared with the conventional method, is a kind of new and large-size particles online automatic detection method accurately and reliably, and has low cost, the feature of easy care is easily installed.
Accompanying drawing explanation
Fig. 1 is the theory structure schematic diagram of automatic detection device; In figure:
1, Pneumatic conveying pipeline, 2, solid particle, 3, magnet, 4, crash sensor, 5, acoustic sensor, 6, signal-processing board, 7, system in package box.
Fig. 2 is the signal processing flow schematic diagram of signal-processing board.
Embodiment
The invention provides the large-size particles online automatic detection method in a kind of Pneumatic conveying pipeline that acoustic sensor and crash sensor combine that adopts.Below in conjunction with Fig. 1, to of the present invention, be explained:
In Fig. 1, sensing system encapsulation box 7 adopts magnet 3 absorption to be arranged on the pipeline bend place of Pneumatic conveying pipeline (tested pipeline), at the interior crash sensor 4 of sensing system encapsulation box 7, be close to system in package box 7 tube road bends inside bottom on one side, acoustic sensor 5 is installed near crash sensor 4, and the side that signal-processing board 6 is fixed on acoustic sensor 5 and crash sensor 4 forms sensing system.
For obtaining better signal to noise ratio (S/N ratio), sensing system is encapsulated to box 7 and be arranged on Pneumatic conveying pipeline 1 pipeline bend place, herein, solid particle 2 is because the effect of air-flow strikes inner-walls of duct, cause local vibrations and the sound signal of duct wall particularly evident violent, thereby obtain better signal to noise ratio (S/N ratio).For the ease of installing and considering that industrial Pneumatic conveying pipeline made by ferrous material conventionally, system is firmly adsorbed on pipeline outer wall by the magneticaction of magnet 3.Sensing system is installed simple, without pipeline being transformed or by other auxiliary machinery.The sound signal that acoustic sensor 5 produces for catching particles hit inner-walls of duct.Crash sensor 4 is close to and is installed on sensing system encapsulation box 7 by tested pipeline inside bottom on one side, to obtain high shock Vibration induction sensitivity.The local vibrations that crash sensor causes for particles hit inner-walls of duct is very sensitive, and is not vulnerable to environmental noise impact, but its space exploration scope is relatively little; And the space exploration scope of acoustic sensor is relatively large, be but easily subject to the impact of environmental noise, so the present invention adopts the integrated form of dual sensor, both are complementary, have improved the sensitivity and the reliability that detect.
Acoustic sensor 5 and crash sensor 4 are connected to signal-processing board 6, and the corresponding signal treatment scheme of the resulting two-way sensor signal of signal-processing board 6 mainly comprises signal condition, data acquisition, data processing and testing result indication (as shown in Figure 2).First, amplification, anti-aliasing filter are simulated to sensor signal in signal condition unit.Then, data acquisition unit carries out analog to digital conversion, digital sample to the signal after two-way conditioning simultaneously.Then, data processing unit (microprocessor) utilizes effective particle signal and ambient signal noise in the feature of different frequency bands, adopts Hi-pass filter to carry out pre-service to signal, improves signal to noise ratio (S/N ratio); And set up maximum noise amplitude threshold and numbers of particles threshold values to detect filtered two paths of signals, if the interior arbitrary road of certain hour window signal is greater than the signal peak number of maximum noise amplitude threshold and is greater than numbers of particles threshold values, think and have the particle of large particle diameter in Pneumatic conveying pipeline, otherwise, think and do not have the particle of large particle diameter in Pneumatic conveying pipeline.Finally, testing result shows by LED/LCD, and system can show in time when the particle that has large particle diameter being detected.
Claims (6)
1. large-size particles online automatic detection method in a Pneumatic conveying pipeline, it is characterized in that, utilize acoustic sensor and crash sensor to catch respectively large-size particles and clash into sound and the vibrations that duct wall produces, the method that adopts time-domain analysis and frequency-domain analysis to combine, the neighbourhood noise comprising in the quick signal of inhibition sound and collision alarm, extract the signal characteristic that large-size particles clashes into duct wall, reach the object of effective detection large-size particles; First acoustic sensor and crash sensor are integrated in same sensing system encapsulation box, built-in signal-processing board is nursed one's health, samples and process this two paths of signals simultaneously, and sensing system is encapsulated to the pipe bent position that box is arranged on Pneumatic conveying pipeline, it is the strongest that bulky grain clashes into duct wall herein, thereby obtain better signal to noise ratio (S/N ratio); The method that described time-domain analysis and frequency-domain analysis combine is for setting up maximum noise amplitude threshold and numbers of particles threshold values to detect filtered two paths of signals, if the interior arbitrary road of certain hour window signal is greater than the signal peak number of maximum noise amplitude threshold and is greater than numbers of particles threshold values, think and have the particle of large particle diameter in Pneumatic conveying pipeline, otherwise, think and do not have the particle of large particle diameter in Pneumatic conveying pipeline.
2. large-size particles online automatic detection method in Pneumatic conveying pipeline according to claim 1, it is characterized in that, described sensing system encapsulation box adopts the magneticaction absorption of magnet to be arranged on tested pipeline, makes the installation of sensing system simple, easily.
3. large-size particles online automatic detection method in Pneumatic conveying pipeline according to claim 1; it is characterized in that; described crash sensor is installed and is close to system in package box by tested pipeline inside bottom on one side, to play the effect that not only can protect sensor but also can obtain higher sensitiveness to shock.
4. large-size particles online automatic detection method in Pneumatic conveying pipeline according to claim 1, is characterized in that, described crash sensor is piezoelectric ceramics or piezoelectric membrane, the object of using to reach long-time continuous.
5. large-size particles online automatic detection method in Pneumatic conveying pipeline according to claim 1, it is characterized in that, the method frequency domain analytical approach that described time-domain analysis and frequency-domain analysis combine is to utilize effective particle signal and neighbourhood noise in the feature of different frequency bands, adopt Hi-pass filter to carry out pre-service to voice signal and collision alarm, improve signal to noise ratio (S/N ratio).
6. large-size particles on-line automatic detection device in a Pneumatic conveying pipeline, it is characterized in that, sensing system encapsulation box (7) adopts magnet (3) absorption to be arranged on the pipeline bend place of Pneumatic conveying pipeline (1), in sensing system encapsulation box (7), crash sensor (4) is close to system in package box (7) tube road bend inside bottom on one side, acoustic sensor (5) is installed near crash sensor (4), and the side that signal-processing board (6) is fixed on acoustic sensor (5) and crash sensor (4) forms sensing system; Built-in signal-processing board is nursed one's health the two paths of signals of acoustic sensor (5) and crash sensor (4) simultaneously, sampling and processing; Adopt acoustic sensor and crash sensor to catch respectively large-size particles and clash into sound and the vibrations that duct wall produces, and utilize time frequency analysis to extract Impact Characteristic and detect large-size particles; Utilize method that time-domain analysis and frequency-domain analysis combine for setting up maximum noise amplitude threshold and numbers of particles threshold values to detect filtered two paths of signals, if the interior arbitrary road of certain hour window signal is greater than the signal peak number of maximum noise amplitude threshold and is greater than numbers of particles threshold values, think and have the particle of large particle diameter in Pneumatic conveying pipeline, otherwise, think and do not have the particle of large particle diameter in Pneumatic conveying pipeline.
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| CN201210344561.4A CN102854099B (en) | 2012-09-17 | 2012-09-17 | Automatic online detecting method for large-size particles in pneumatic conveying pipeline |
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| CN201210344561.4A CN102854099B (en) | 2012-09-17 | 2012-09-17 | Automatic online detecting method for large-size particles in pneumatic conveying pipeline |
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| CN103884630A (en) * | 2014-03-13 | 2014-06-25 | 河北联合大学 | Determination method for dispersity of dust in air of working field |
| CN105628180B (en) * | 2014-10-28 | 2019-03-26 | 中国石油化工股份有限公司 | A kind of detection method of agitated bed reactor inner caking |
| CN104816948B (en) * | 2015-04-30 | 2017-10-24 | 华北电力大学 | A kind of optic probe anti-fouler measured for Geldart-D particle powder parameters |
| CN106368675B (en) * | 2016-08-29 | 2019-09-24 | 中国石油集团川庆钻探工程有限公司长庆井下技术作业公司 | A kind of sand production of oil-gas wells monitor and sand production monitoring data processing method |
| CN106940286A (en) * | 2017-04-21 | 2017-07-11 | 北京航空航天大学 | Particle concentration detection means |
| CN107327635A (en) * | 2017-07-18 | 2017-11-07 | 贵州大学 | A kind of pipeline configuration equipped with shale gas leak detection module |
| TWI658264B (en) * | 2017-09-07 | 2019-05-01 | 財團法人工業技術研究院 | Optical micro-particle detector |
| CN113294881B (en) * | 2021-05-25 | 2022-09-06 | 中建三局集团(深圳)有限公司 | Air conditioner air duct dust accumulation amount monitoring system and method with early warning function |
| CN115683959B (en) * | 2022-11-03 | 2023-07-14 | 北京信息科技大学 | System and method for identifying particle size of biomass particles based on collision sound characteristics |
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| US3906780A (en) * | 1972-10-12 | 1975-09-23 | Mobil Oil Corp | Particulate material detection means |
| US5571974A (en) * | 1995-01-06 | 1996-11-05 | Nauful; Eli S. | Method and apparatus for the measurement of particle flow in a pipe |
| GB0522312D0 (en) * | 2005-11-01 | 2005-12-07 | Cormon Ltd | Monitoring particles in a fluid stream |
| CN102608005B (en) * | 2012-03-19 | 2014-06-11 | 华北电力大学 | Piezoelectric sensor-based on-line measurement device and method for particle size distribution |
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