CN104596792B - A kind of biomass fuel intellegent sampling system and method for acousto-optic identification - Google Patents
A kind of biomass fuel intellegent sampling system and method for acousto-optic identification Download PDFInfo
- Publication number
- CN104596792B CN104596792B CN201510046900.4A CN201510046900A CN104596792B CN 104596792 B CN104596792 B CN 104596792B CN 201510046900 A CN201510046900 A CN 201510046900A CN 104596792 B CN104596792 B CN 104596792B
- Authority
- CN
- China
- Prior art keywords
- content
- unit
- fuel
- detection
- moisture
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Processing Of Solid Wastes (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a kind of biomass fuel intellegent sampling system and method thereof of acousto-optic identification, by the cooperation of detection control unit, data acquisition unit, fuel analysis expert unit, quality control unit, attribute every inside and outside biomass fuel is detected in real time, judges and shown.Technical measure is advanced, accuracy is high, and testing result is stablized, high efficiency, sample mode robotization is not subject to man's activity and ties down, have positive meaning to the promotion of production efficiency and Operation Method, it can measure the interior free surface moisture of biomass fuel in real time, and figure observes the mineral material in biomass fuel, intelligent decision and measurement volume of material, the quality of fuel can be analyzed according to real-time detector data, and judge, effectively can promote progress and the development of production and technology.
Description
Technical field
The present invention relates to Quality Detection and the Quality Control Technology field of biomass power plant fuel, more specifically, relate to a kind of biomass fuel intellegent sampling system of acousto-optic identification, and based on the intellegent sampling method that this system realizes.
Background technology
Along with the sustainable development of China's economy, in recent years after coming into effect the power system reform of " separate the factory and network, surf the Net at a competitive price ", there occurs based on the management mode of form between generator car under original planned economy and change thoroughly, power plant becomes the market economy main body of independent operation gradually, also obtain larger autonomy in production and management.Under this factor drives, power plant obtains and develops fast, the many demands of simultaneous adaptation society various types of power plant also to take advantage of a situation generation, as biomass power plant.
Main power house of biomass power will refer to that living beings or its goods are the generating plant of fuel, e.g., and waste industrialization, stalk power station, timber power station, alcohol power station, biogas power station etc.Worsen at environment, the day by day strong world today of energy demand; biomass power generation effectively can supplement the deficiency of existing generation mode undoubtedly; and contribute to the depollution of environment and protection, possess the benefit such as flexible operation, relative inexpensiveness, therefore also possess boundless development prospect.
But, owing to belonging to new industry, therefore also there is a lot of deficiency in biomass power generation, and such as cost cutting is unsatisfactory, and final effects of energy saving and emission reduction is unstable, and operation and workflow is accurate not and science etc., and in the process of biomass power generation, be a very important job to the Quality Detection of fuel and quality control, it directly has influence on the efficiency of subsequent power generation work, to reduction cost of electricity-generating, optimizing management also has positive meaning.But, to the Resolving probiems of this respect not enough, existing way is aging for prior art, accuracy is not high, unstable result, inefficiency, the inadequate robotization of sample mode and easily by man's activity with the problem such as to tie down, this can cause much negative impact to integral production undoubtedly.
Summary of the invention
The present invention is intended to solve the problems of the technologies described above at least to a certain extent, by optics, electromagnetic principles, the surface of direct-detection biomass material, inherent moisture, apply material fluoroscopy techniques simultaneously, differentiate biomass material and earth, manifest the image of the foreign material such as stone and mineral material in real time, can be used as the technical tool entering factory's quality intellectual analysis and control judgement of biomass fuel.
The object of this invention is to provide a kind of biomass fuel intellegent sampling system of acousto-optic identification, for the on-line checkingi of the fuel moisture of biomass power plant, comprise outer moisture content and interior moisture, also can be used for the water content detection of other biological pledge material simultaneously, and the composition detection of biomass fuel.
Another object of the present invention is to provide the intellegent sampling method realized based on said system.
For solving the problems of the technologies described above, technical scheme of the present invention is as follows:
A biomass fuel intellegent sampling system for acousto-optic identification, comprises detection control unit, data acquisition unit, fuel analysis expert unit and quality control unit; Wherein, detection control unit is connected with data acquisition unit, and data acquisition unit is connected with fuel analysis expert unit, and fuel analysis expert unit is connected with quality control unit.
Wherein, detected every attribute of material by detection control unit, as free surface moisture detection, the detection of interior water content detection, outward appearance, mineral material identification and composition detection etc.
Detection control unit comprises sampling unit.Sampling unit gathers the biomass fuel of ecosystem by serration type cutting, by worm screw transmission mode, complete as far as possible for material collection is gathered, after gathering, material free surface moisture and interior moisture is detected respectively, the moisture of on-line checkingi material by table water gauge, interior water gauge.Detected each constituent content of material by component detection apparatus, comprise the ash content in biomass fuel, volatile content, fixed carbon content, carbon element content, protium content, nitrogen element content, sulfur content, oxygen element content, content of Cl element, silicon content, calcium element content, Determination of Potassium, sodium element content and phosphorus element content;
Detect in detection control unit in the process of material, by the every testing result of data acquisition unit acquires, and each gathered testing result is stored, to provide real time data and historical data.
By fuel analysis expert unit, sample detecting is carried out to material, concrete, to the real time data that data acquisition unit newly gathers, carry out identifying and judging for validity and reliability, with reference to industry standard, determine whether carry out resampling and detection; Wherein, the historical data of material as analysis foundation, is made instant analysis judgement and conclusion to the credibility of current real-time data, reliability and deviation range by native system.
By quality control unit, the sample detecting result of fuel analysis expert unit is analyzed, according to the comparison of industry relevant criterion, assessment, judgement, draw the analysis result information to material.
Detection control unit also comprises table water gauge, interior water gauge, rotary vane type sampler, component detection apparatus and image identification unit, and wherein, image identification unit comprises camera and display.
The camera of image identification unit is arranged on the front end of sampler in workshop, enter in material with sampler front end and carry out image recognition, to judge whether have the solids such as stone, clod around sampler, over the display by recognition result instant playback, to carry out evaluation process according to industry regulation simultaneously.
Rotary vane type sampler adopts blade cutting mode, and the material that sampling unit set is good shreds further, then sends in the sampler in workshop, as the checking material that lab samples detects.Now, by table water gauge, interior water gauge, its free surface moisture and interior moisture are detected respectively to checking material.
Interior water gauge can be line Microwave Water sorting-detecting instrument; Interior water gauge is used for penetration-detection material, as detected the water cut of solid, and carries out continuous coverage etc. to the product moisture in production run.Wherein, one large feature of line microwave moisture instrument to select spigot die formula or reflective-mode to measure, coal, sintering (pelletizing) compound, iron ore, chemicals, bauxite, nickel minerals, sugar, tobacco, bagasse, cereal, silicon, timber, wool, food, sand, polymkeric substance, cotton and other non-conductive materials can be widely used in, therefore be beneficial to use.
Table water gauge is for detecting the free surface moisture of material.
Described quality control unit carries out the information of further processing process to material according to providing the analysis result information of material and notifies user.When the free surface moisture that described information is included in described analysis result information display material is more than or equal to 15%, prompting user carries out drying to material at normal temperature (arbitrary temp within the scope of 20 DEG C-35 DEG C, preferably 30 DEG C) to the temperature of 100 DEG C.When the interior moisture that described information is included in described analysis result information display material is more than or equal to 8%, prompting user carries out drying to material at the temperature of 105 DEG C to 110 DEG C.When the volatile content that described information is included in described analysis result information display material is more than or equal to 70%, prompting user increases by the amount of supplied air of more than 20% in combustion; Point out user to adopt the mode of coal and living beings mixed combustion and strengthen fire grate when the ash content of described analysis result information display material is more than or equal to 14% to ventilate; Point out user that ignition temperature is improved at least 110 DEG C when the fixed carbon content of described analysis result information display material is more than or equal to 20%; When the sulfur content of described analysis result information display material is more than or equal to 0.5%, prompting user opens desulfurizer; Point out user to carry out dephosphorization treatment before combustion when the phosphorus element content of described analysis result information display material is more than or equal to 5%, avoid phosphate scales to damage combustion apparatus wall.
Detection control unit and data acquisition unit equidistantly can be sampled to material, first material be divided into multiple units material and arrange in order, again according to sample size requirements determination sampling interval, then determine starting point at random, extract unit material successively according to sampling interval; Concrete, in actual production, first overall material is divided into N number of unit, in succession numbers from 1 ~ N; Calculate sampling interval K=N/n, in formula, n is set sample size; Then in 1 ~ K, take out a random number k 1, as first unit material of sample, then get k1+K, k12K ..., till taking out enough n unit material.
Wherein, the unit material arrangement of equidistant sampling can be divided three classes: queue up by relevant flags, queue up by irrelevant mark and arranging by state of nature between queuing up by relevant flags and queuing up by irrelevant mark; Actual queuing standard is determined according to Production requirement.
Taking above-mentioned equidistant sample mode, human factor can be avoided to cause detecting the deviation of sampling, having a lot of actual meaning to producing.
A biomass fuel intellegent sampling method for acousto-optic identification, comprises the steps;
S1, gather the biomass fuel of ecosystem by the cutting of sampling unit serration type, by worm screw transmission mode, material is gathered, after gathering, material free surface moisture and interior moisture is detected respectively by table water gauge, interior water gauge, the moisture of on-line checkingi material, carries out the outward appearance detection of material, mineral material identification and composition detection simultaneously;
S2, detect material process in, by the every testing result of data acquisition unit acquires, and each gathered testing result is stored, real time data and historical data is provided;
S3, by fuel analysis expert unit, sample detecting is carried out to material, before carrying out sample detecting, rotary vane type sampler adopts blade cutting mode, biomass fuel material good for sampling unit set is shredded further, then send in the sampler in workshop, as the checking material that lab samples detects, make the camera of image identification unit be arranged on the front end of sampler in workshop, enter in material with sampler front end and carry out image recognition, judge the solids around camera, by recognition result instant playback over the display, carry out evaluation process, when confirming without solids, to material by table water gauge, interior water gauge and component detection apparatus detect the ash content in its free surface moisture and interior moisture and biomass fuel respectively, volatile content, fixed carbon content, carbon element content, protium content, nitrogen element content, sulfur content, oxygen element content, content of Cl element, silicon content, calcium element content, Determination of Potassium, sodium element content and phosphorus element content, to the new real time data gathered, carry out identifying and judging for validity and reliability, with reference to industry standard, judge to carry out resampling and detection, wherein, using the historical data of material as analysis foundation, instant analysis judgement and conclusion are made to the credibility of current real-time data, reliability and deviation range,
S4, by quality control unit, the sample detecting result of fuel analysis expert unit is analyzed, comparison, assessment, judgement, draw the analysis result information to material.
In step S1 ~ S3, detection control unit and data acquisition unit are equidistantly sampled to material, and first material is divided into multiple units material and arranges in order by it, then according to sample size requirements determination sampling interval, then determine starting point at random, extract unit material successively according to sampling interval; Concrete, in actual production, first overall material is divided into N number of unit, in succession numbers from 1 ~ N; Calculate sampling interval K=N/n, in formula, n is set sample size; Then in 1 ~ K, take out a random number k 1, as first unit material of sample, then get k1+K, k1+2K ... k1+nK, till taking out enough n unit material.
Wherein, the unit material arrangement of equidistant sampling can be divided three classes: queue up by relevant flags, queue up by irrelevant mark and arranging by state of nature between queuing up by relevant flags and queuing up by irrelevant mark; Actual queuing standard is determined according to Production requirement.
Compared with prior art, the beneficial effect of technical solution of the present invention is:
Technical measure is advanced, accuracy is high, and testing result is stablized, high efficiency, sample mode robotization is not subject to man's activity and ties down, have positive meaning to the promotion of production efficiency and Operation Method, it can measure the interior free surface moisture of biomass fuel in real time, and figure observes the mineral material in biomass fuel, intelligent decision and measurement volume of material, the quality of fuel can be analyzed according to real-time detector data, and judge, effectively can promote progress and the development of production and technology.
Accompanying drawing explanation
Be illustrated in figure 1 the topological relation structural representation of a preferred embodiment of the present invention.
Embodiment
Accompanying drawing, only for exemplary illustration, can not be interpreted as the restriction to this patent.
To those skilled in the art, in accompanying drawing, some known features and explanation thereof may be omitted is understandable.
Below in conjunction with the Figure of description in the present invention, be clearly and completely described the technical scheme in invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Be illustrated in figure 1 the biomass fuel intellegent sampling system of a kind of acousto-optic identification of the present invention, comprise detection control unit, data acquisition unit, fuel analysis expert unit and quality control unit; Wherein, detection control unit is connected with data acquisition unit, and data acquisition unit is connected with fuel analysis expert unit, and fuel analysis expert unit is connected with quality control unit.
Wherein, detected every attribute of material by detection control unit, as free surface moisture detection, the detection of interior water content detection, outward appearance, mineral material identification and composition detection etc.
Detection control unit comprises sampling unit.
Generally speaking biomass fuel has two kinds of source formations: one is through biomass fuel processing, makes necessarily granular fuel thing.Two is the fuel of ecosystem form, the fuel of undressed one-tenth certain forms, these fuel have wood chip, the strip types such as branch, sheet material, leaf, bark, also has the scrappy formula such as leaf, wooden chaff.Large-scale biomass power generation fuel all adopts the form of ecosystem, and dissimilar biomass material, mainly for the sampling technique of ecosystem biomass fuel, by machinery and electric detective technology, is carried out sampling and water content detection and composition detection by the present invention.
Sampling unit gathers the biomass fuel of ecosystem by serration type cutting, both can gather wood chip, the fuel of the strip types such as branch, sheet material, leaf, bark, and also can collect leaves, the fuel of the scrappy formula such as wooden chaff.Wherein, because biomass fuel free surface moisture is very high, in sampling process, easily causing loss of moist, for ensureing the authenticity of sample, by worm screw transmission mode, complete as far as possible for material collection being gathered.
Wherein, after complete as far as possible for material collection being gathered, detect material free surface moisture and interior moisture respectively, the moisture of on-line checkingi material by table water gauge, interior water gauge.
Wherein, when table water gauge, interior water gauge detect material moisture, need to stop blink, at least 1 ~ 2 seconds, also need the bulk density improving material, to improve the accuracy of moisture measurement simultaneously.
In addition, detected each constituent content of material by component detection apparatus, comprise the ash content in biomass fuel, volatile content, fixed carbon content, carbon element content, protium content, nitrogen element content, sulfur content, oxygen element content, content of Cl element, silicon content, calcium element content, Determination of Potassium, sodium element content and phosphorus element content;
Detect in detection control unit in the process of material, by the every testing result of data acquisition unit acquires, and each gathered testing result is stored, to provide real time data and historical data.
By fuel analysis expert unit, sample detecting is carried out to material, concrete, to the real time data that data acquisition unit newly gathers, carry out identifying and judging for validity and reliability, with reference to industry standard, determine whether carry out resampling and detection; Wherein, the historical data of material as analysis foundation, is made instant analysis judgement and conclusion to the credibility of current real-time data, reliability and deviation range by native system.
By quality control unit, the sample detecting result of fuel analysis expert unit is analyzed, according to the comparison of industry relevant criterion, assessment, judgement, draw the analysis result information to material.
Detection control unit detects every data of material, and detection control unit also comprises table water gauge, interior water gauge, rotary vane type sampler, component detection apparatus and image identification unit, and wherein, image identification unit comprises camera and display.
Table water gauge is for detecting the surface moisture of material, table water gauge application dielectric detection technique of the present invention, launch the electromagnetic wave of suitable frequency, be applicable to measure the moisture content such as straw, wheat straw, waste paper, herbage, reed, little garden bamboo, awns stalk, wood chip, wooden skin, wood chip; Its measurement range is 0 ~ 99.9%, 1 second display moisture value, is applicable to fast-field evaluation analysis.Dielectric detection technique is all based on the dielectric property of water, and hydrone can magnetize, and the hydrone after magnetization along the arrangement of certain order, namely presents certain polarity under the effect of external magnetic field.Now, if be subject to the effect of alternating electromagnetic field, hydrone is the continuous rotational transform direction (dipole polarization) along with the frequency of electromagnetic field then.This effect represents with specific inductive capacity DK usually.The specific inductive capacity of water is approximately 80; And most solid material, the specific inductive capacity comprising the solid material being ground into bulk material is then much smaller (generally between 2 ~ 10, great majority are between 3 ~ 6).Due to this obvious difference, even if therefore only have the water of seldom amount also can be identified easily by table water gauge.
The principle that table water gauge adopts resonance to detect, utilize the change of object resonance parameter to detect, the parameter of detection comprises resonant frequency, quality and coupling coefficient etc.Resonant frequency detects topmost advantage and is: it belongs to the method for timing, has and exceeds a lot of accuracy of detection than other detection method.Therefore, resonant humidity detection method can be used for accuracy of detection and the very high detection occasion of duplicate detection accuracy requirement.Accurate Humidity Detection is until ultraprecise Humidity Detection scope is the optimal detection field of this resonance Humidity Detection.The design of measuring unit installation position, between the buffering of material transferring, utilizes the flow measurement carrying out material between this buffering.
Rotary vane type sampler adopts blade cutting mode, is shredded further by biomass fuel material good for sampling unit set, then sends in the sampler in workshop, as the checking material that lab samples detects.Now, by table water gauge, interior water gauge, its free surface moisture and interior moisture are detected respectively to checking material; By being detected each constituent content of material by component detection apparatus.
The camera of image identification unit is arranged on the front end of sampler in workshop, enter in biomass fuel with sampler front end and carry out image recognition, to judge whether have the solids such as stone, clod around camera, over the display by recognition result instant playback, carry out evaluation process according to industry regulation simultaneously.
Interior water gauge can be line Microwave Water sorting-detecting instrument; Interior water gauge is used for penetration-detection material, as detected the water cut of solid, and carries out continuous coverage etc. to the product moisture in production run.Wherein, one large feature of line microwave moisture instrument to select spigot die formula or reflective-mode to measure, coal, sintering (pelletizing) compound, iron ore, chemicals, bauxite, nickel minerals, sugar, tobacco, bagasse, cereal, silicon, timber, wool, food, sand, polymkeric substance, cotton and other non-conductive materials can be widely used in, be beneficial to use.
Described quality control unit carries out the information of further processing process to material according to providing the analysis result information of material and notifies user.Concrete, when the free surface moisture that described information is included in described analysis result information display material is more than or equal to 15%, prompting user carries out drying to material at the temperature of normal temperature to 100 DEG C.The free surface moisture of biomass fuel refer to mechanically be attached to living beings surface on and at larger pore, (diameter is greater than 10
-4mm) moisture retained in.It has been generally acknowledged that, the biomass fuel only having moisture to be less than 50% just likely burns, and here 50% refers to the total moisture comprising free surface moisture and interior moisture.Applicant is found by a large amount of tests, and burning when the free surface moisture of material is more than or equal to 15% has become very difficult, needs to carry out drying process to biomass fuel.Consider that free surface moisture is placed at normal temperatures just can constantly evaporate in atmosphere, improve the speed that temperature can correspondingly accelerate evaporation drying, but the drying only for free surface moisture there is no need to provide too high temperature to cause the waste of the energy, the application can take into account dry efficiency and the consumption of the energy under a large amount of tests finds baking temperature to be limited to the temperature of normal temperature to 100 DEG C, although free surface moisture can be evaporated faster higher than 100 DEG C, be uneconomic a kind of mode relative to a large amount of energy resource consumptions.
On the other hand, interior moisture refers to and is adsorbed on living beings internal capillaries with physical chemistry adhesion in biomass fuel (diameter is less than 10
-4mm) moisture in.Vapor pressure due to interior moisture is less than the vapor pressure of synthermal lower pure water, is therefore difficult to remove at normal temperatures.Through a large amount of tests, applicant finds to carry out drying to material at the temperature of 105 DEG C to 110 DEG C can moisture in cost-effective removing.And the interior moisture of usual biomass fuel is relatively stable, generally about 5%.In this stationary value, moisture can not produce undue adverse influence to burning usually, but test figure shows, burn when interior moisture is more than or equal to 8% and start to become difficulty, the calorific value of fuel reduces, and living beings are not easily broken, easily be attached on combustion apparatus, increase the energy consumption pulverized, to catch fire difficulty, affect burning rate, in-furnace temperature is reduced, the thermal loss of machinery and chemically incomplete combustion is increased, and in combustion, moisture is because of carburation by evaporation and overheatedly will consume a large amount of heats of vaporization, after burning, flue gas volume obviously increases, the thermal loss taken away also increases, the electric energy of exhaust blower consumption increases thereupon.Therefore, when moisture is more than or equal to 8% in described analysis result information display material, be necessary that prompting user carries out drying to material at the temperature of 105 DEG C to 110 DEG C.
The product of the volatile matter of biomass fuel mainly organic thermal decomposition in fuel, heating fuel under isolated air conditions, is first the evaporation of moisture, and the organism subsequently in fuel starts decompose and separate out various gaseous material gradually, Here it is volatile matter.For biomass fuel, start thermal decomposition greatly about about 250 DEG C, separate out volatile matter and form coke, first volatile matter and the blending of high ambient temperatures air of gaseous state are burnt by igniting.Because biomass fuel density is little, loosely organized, volatile content is high, starts about 250 DEG C thermal decompositions, and just very active 325 DEG C time, when 350 DEG C, volatile matter can separate out 80%.Therefore volatile devolatilization time is shorter, if air supply is improper, organic volatile matter is not easy to be discharged by after-flame, discharges fume for black, is goldenrod cigarette, causes serious pollution and energy dissipation time serious.Applicant is found by a large amount of tests, when the volatile content of material is more than or equal to 70%, the phenomenon that obvious appearance burning is insufficient, now should point out user's amount of supplied air increased in combustion, and at least increase by more than 20% just has obvious effect.
The ash content of biomass fuel is mainly from mineral matter, and usually exist with the form of the oxide of the alkali metals such as calcium, potassium, sodium, ash content is high, the calorific value of fuel will be reduced, reduce temperature of combustion, and ash content parcel coke makes air penetration difficulty, cause residual remaining carbon in ashes.Applicant is found by test, is suitable for adopting the mode of coal and living beings mixed combustion and should strengthening fire grate ventilating when the ash content of material is more than or equal to 14%.
Residue after the fixed carbon content of biomass fuel refers to volatile matter effusion and the quality of cinder deduct ash content quality.Fixed carbon is for the carbon in volatile matter, and the unburned carbon generally comprised in lime-ash is exactly fixed carbon.The burning-point of fixed carbon is very high, and needing at a higher temperature could ignition, so the more high more difficult to burn of fixed carbon content in fuel, the temperature that ignition needs is also higher.Test figure shows, ignition temperature should be improved at least 110 DEG C when the fixed carbon content in biomass fuel is more than or equal to 20%, could effectively ignite this biomass fuel.
Sulphur in biomass fuel can become sulphur oxide gas after combustion, sulphurous acid and sulfuric acid can be combined to the water vapor in flue gas, condense on the low-temperature metal heating surface of equipment at a certain temperature, make it corrosion, if enter in air with flue gas, can atmospheric pollution be caused, endanger very serious.Test figure shows, when the sulfur content in biomass fuel is more than or equal to 0.5%, user should be pointed out to open desulfurizer, avoids occurring serious environmental pollution.
Phosphorus in biomass fuel is combustible component, when burning conversion, apatite in fuel is heated in soft air, overflows with the form of hydrogen phosphide, and hydrogen phosphide is extremely toxic substance, simultaneously in high temperature reducing atmospheres, phosphorus is reduced into phosphorus steam, forms pyrophosphoric acid with water vapor, is attached in equipment surface and is combined with flying dust, time has been grown and has just formed hard phosphate scales hard to tolerate, damages combustion apparatus wall.Applicant finds through lot of experiments, when phosphorus element content is more than or equal to 5%, greatly increases the infringement of equipment, and user should be pointed out to carry out dephosphorization treatment before combustion.
Detection control unit and data acquisition unit are equidistantly sampled to material, first overall material is divided into multiple units material and arranges in order by it, again according to sample size requirements determination sampling interval, then determine starting point at random, extract unit material successively according to sampling interval; Concrete, in actual production, first overall material is divided into N number of unit, in succession numbers from 1 ~ N; Calculate sampling interval K=N/n, in formula, n is set sample size; Then in 1 ~ K, take out a random number k 1, as first unit material of sample, then get k1+K, k1+2K ... k1+nK, till taking out enough n unit material.
Wherein, the unit material arrangement of equidistant sampling can be divided three classes: queue up by relevant flags, queue up by irrelevant mark and arranging by state of nature between queuing up by relevant flags and queuing up by irrelevant mark; Actual queuing standard is determined according to Production requirement.Taking above-mentioned equidistant sample mode, human factor can be avoided to cause detecting the deviation of sampling, having a lot of actual meaning to producing.
A biomass fuel intellegent sampling method for acousto-optic identification, comprises the steps;
S1, gather the biomass fuel of ecosystem by the cutting of sampling unit serration type, by worm screw transmission mode, material is gathered, after gathering, material free surface moisture and interior moisture is detected respectively by table water gauge, interior water gauge, the moisture of on-line checkingi material, carries out the outward appearance detection of material, mineral material identification and composition detection simultaneously;
S2, detect material process in, by the every testing result of data acquisition unit acquires, and each gathered testing result is stored, real time data and historical data is provided;
S3, by fuel analysis expert unit, sample detecting is carried out to material, before carrying out sample detecting, rotary vane type sampler adopts blade cutting mode, biomass fuel material good for sampling unit set is shredded further, then send in the sampler in workshop, as the checking material that lab samples detects, make the camera of image identification unit be arranged on the front end of sampler in workshop, enter in material with sampler front end and carry out image recognition, judge the solids around camera, by recognition result instant playback over the display, carry out evaluation process, when confirming without solids, to material by table water gauge, interior water gauge and component detection apparatus detect the ash content in its free surface moisture and interior moisture and biomass fuel respectively, volatile content, fixed carbon content, carbon element content, protium content, nitrogen element content, sulfur content, oxygen element content, content of Cl element, silicon content, calcium element content, Determination of Potassium, sodium element content and phosphorus element content, to the new real time data gathered, carry out identifying and judging for validity and reliability, with reference to industry standard, judge to carry out resampling and detection, wherein, using the historical data of material as analysis foundation, instant analysis judgement and conclusion are made to the credibility of current real-time data, reliability and deviation range,
S4, by quality control unit, the sample detecting result of fuel analysis expert unit is analyzed, comparison, assessment, judgement, draw the analysis result information to material.
In step S1 ~ S3, detection control unit and data acquisition unit equidistantly can be sampled to material, first overall material is divided into multiple unit and arranges in order by it, again according to sample size requirements determination sampling interval, then determine starting point at random, extract unit material successively according to sampling interval; Concrete, in actual production, first overall material is divided into N number of unit, in succession numbers from 1 ~ N; Calculate sampling interval K=N/n, in formula, n is set sample size; Then in 1 ~ K, take out a random number k 1, as first unit material of sample, then get k1+K, k12K ..., till taking out enough n unit material.
Wherein, the unit material arrangement of equidistant sampling can be divided three classes: queue up by relevant flags, queue up by irrelevant mark and arranging by state of nature between queuing up by relevant flags and queuing up by irrelevant mark; Actual queuing standard is determined according to Production requirement.
The present invention preferably implements under following condition of work: biological surface water: ± 0.1%(W/W); Inherent the water: ± 0.05%(W/W of living beings); Sampling rate: 100g/min; Mineral matter identification volume: >100mm
3.
In sum, be embodiment of the present invention content, and obviously embodiments of the present invention are not limited in this, it can according to different application environment, utilizes of the present inventionly functionally to realize corresponding demand.
Claims (4)
1. a biomass fuel intellegent sampling system for acousto-optic identification, is characterized in that comprising detection control unit, data acquisition unit, fuel analysis expert unit and quality control unit; Wherein, detection control unit is connected with data acquisition unit, and data acquisition unit is connected with fuel analysis expert unit, and fuel analysis expert unit is connected with quality control unit;
Wherein, every attribute of material is detected by detection control unit;
Detect in detection control unit in the process of material, by the every testing result of data acquisition unit acquires, and each gathered testing result is stored, real time data and historical data are provided;
By fuel analysis expert unit, sample detecting is carried out to material; Fuel analysis expert unit, to the real time data of data acquisition unit acquires, carries out identifying and judging for validity and reliability, determines whether carry out resampling and detection; Wherein, using the historical data of material as analysis foundation, instant analysis judgement and conclusion are made to the credibility of current real-time data, reliability and deviation range;
By quality control unit, the sample detecting result of fuel analysis expert unit is analyzed, draws the analysis result information to material.
2. the biomass fuel intellegent sampling system of acousto-optic identification according to claim 1, it is characterized in that described detection control unit comprises collecting unit, table water gauge, interior water gauge, rotary vane type sampler, component detection apparatus and image identification unit, wherein, image identification unit comprises camera and display; By detection control unit detect every attribute of material comprise carry out material free surface moisture detections, the detection of interior water content detection, outward appearance, mineral material identification and composition detection;
Collecting unit gathers the material of ecosystem by serration type cutting, by worm screw transmission mode, material sample is carried out set and collect, after gathering, material free surface moisture and interior moisture is detected respectively, the moisture of on-line checkingi material by table water gauge, interior water gauge;
Table water gauge detects the surface moisture of material, by emitting electromagnetic wave, based on the principle that resonance detects, utilizes the change of material resonance parameter to detect;
Moisture in living beings inside is adsorbed on physical chemistry adhesion in interior water gauge penetration-detection material;
Rotary vane type sampler adopts blade cutting mode, and the material that collecting unit set is good shreds further, sends in the sampler in workshop, as the checking material that lab samples detects;
Component detection apparatus detects each constituent content of material, comprises the ash content in biomass fuel, volatile content, fixed carbon content, carbon element content, protium content, nitrogen element content, sulfur content, oxygen element content, content of Cl element, silicon content, calcium element content, Determination of Potassium, sodium element content and phosphorus element content;
The camera of image identification unit is arranged on the front end of sampler in workshop, enters in material carry out image recognition with sampler front end, observes the solids around sampler, by recognition result instant playback over the display, carries out evaluation process;
When to judge around sampler without solids by the camera of image identification unit, further sample detecting is carried out to material by fuel analysis expert unit, detect its free surface moisture and interior moisture respectively by table water gauge, interior water gauge;
Described interior water gauge is line Microwave Water sorting-detecting instrument, and described table water gauge application dielectric detection technique is based on the free surface moisture of the dielectric property detection material of water;
Described quality control unit carries out the information of further processing process to material according to providing the analysis result information of material and notifies user;
When the free surface moisture that described information is included in described analysis result information display material is more than or equal to 15%, prompting user carries out drying to material at the temperature of normal temperature to 100 DEG C;
When the interior moisture that described information is included in described analysis result information display material is more than or equal to 8%, prompting user carries out drying to material at the temperature of 105 DEG C to 110 DEG C;
When the volatile content that described information is included in described analysis result information display material is more than or equal to 70%, prompting user increases by the amount of supplied air of more than 20% in combustion; Point out user to adopt the mode of coal and living beings mixed combustion and strengthen fire grate when the ash content of described analysis result information display material is more than or equal to 14% to ventilate; Point out user that ignition temperature is improved at least 110 DEG C when the fixed carbon content of described analysis result information display material is more than or equal to 20%; When the sulfur content of described analysis result information display material is more than or equal to 0.5%, prompting user opens desulfurizer; Point out user to carry out dephosphorization treatment before combustion when the phosphorus element content of described analysis result information display material is more than or equal to 5%, avoid phosphate scales to damage combustion apparatus wall.
3. the biomass fuel intellegent sampling method of the acousto-optic identification of the biomass fuel intellegent sampling system realization of the acousto-optic identification according to any one of claim 1 ~ 2, comprises the steps;
S1, gather the biomass fuel of ecosystem by the cutting of collecting unit serration type, by worm screw transmission mode, material is gathered, after gathering, material free surface moisture and interior moisture is detected respectively by table water gauge, interior water gauge, the moisture of on-line checkingi material, carries out the outward appearance detection of material, mineral material identification and composition detection simultaneously;
S2, detect material process in, by the every testing result of data acquisition unit acquires, and each gathered testing result is stored, real time data and historical data is provided;
S3, by fuel analysis expert unit, sample detecting is carried out to material, before carrying out sample detecting, rotary vane type sampler adopts blade cutting mode, biomass fuel material good for collecting unit set is shredded further, then send in the sampler in workshop, as the checking material that lab samples detects, make the camera of image identification unit be arranged on the front end of sampler in workshop, enter in material with sampler front end and carry out image recognition, judge the solids around camera, by recognition result instant playback over the display, carry out evaluation process, when confirming without solids, to material by table water gauge, interior water gauge and component detection apparatus detect the ash content in its free surface moisture and interior moisture and biomass fuel respectively, volatile content, fixed carbon content, carbon element content, protium content, nitrogen element content, sulfur content, oxygen element content, content of Cl element, silicon content, calcium element content, Determination of Potassium, sodium element content and phosphorus element content, to the new real time data gathered, carry out identifying and judging for validity and reliability, with reference to industry standard, judge whether to carry out resampling and detection, wherein, using the historical data of material as analysis foundation, instant analysis judgement and conclusion are made to the credibility of current real-time data, reliability and deviation range,
S4, by quality control unit, the sample detecting result of fuel analysis expert unit is analyzed, comparison, assessment, judgement, draw the analysis result information to material.
4. the biomass fuel intellegent sampling method of acousto-optic identification according to claim 3, it is characterized in that in described step S1 ~ S3, material is equidistantly sampled, first material be divided into multiple units material and arrange in order, again according to sample size requirements determination sampling interval, then determine starting point at random, extract unit material successively according to sampling interval: first overall material is divided into N number of unit, in succession numbers from 1 ~ N; Calculate sampling interval K=N/n, in formula, n is set sample size; Then in 1 ~ K, take out a random number k 1, as first unit material of sample, then get k1+K, k1+2K ... k1+nK, until the material taking out enough n unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510046900.4A CN104596792B (en) | 2014-05-29 | 2015-01-30 | A kind of biomass fuel intellegent sampling system and method for acousto-optic identification |
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410232615.7A CN103983472A (en) | 2014-05-29 | 2014-05-29 | Intelligent biomass fuel acousto-optic recognition sampling system and method |
| CN2014102326157 | 2014-05-29 | ||
| CN201510046900.4A CN104596792B (en) | 2014-05-29 | 2015-01-30 | A kind of biomass fuel intellegent sampling system and method for acousto-optic identification |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104596792A CN104596792A (en) | 2015-05-06 |
| CN104596792B true CN104596792B (en) | 2016-01-20 |
Family
ID=51275532
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410232615.7A Pending CN103983472A (en) | 2014-05-29 | 2014-05-29 | Intelligent biomass fuel acousto-optic recognition sampling system and method |
| CN201510046900.4A Active CN104596792B (en) | 2014-05-29 | 2015-01-30 | A kind of biomass fuel intellegent sampling system and method for acousto-optic identification |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410232615.7A Pending CN103983472A (en) | 2014-05-29 | 2014-05-29 | Intelligent biomass fuel acousto-optic recognition sampling system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN103983472A (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103983472A (en) * | 2014-05-29 | 2014-08-13 | 广东科立恩环保科技有限公司 | Intelligent biomass fuel acousto-optic recognition sampling system and method |
| CN107907394A (en) * | 2017-12-19 | 2018-04-13 | 国丰新能源江苏有限公司 | Biomass fuel reduction device |
| CN109060406B (en) * | 2018-08-21 | 2020-03-13 | 嘉兴新嘉爱斯热电有限公司 | Automatic sampling and analyzing system for biomass fuel |
| CN109387461A (en) * | 2018-12-07 | 2019-02-26 | 吉林宏日新能源股份有限公司 | Biomass molding fuel quality inspection system and its method |
| CN110007058A (en) * | 2019-02-28 | 2019-07-12 | 苏州西热节能环保技术有限公司 | The method for real-time measurement of moisture content in a kind of burning power plant fuel |
| CN110133007B (en) | 2019-04-17 | 2020-01-14 | 中国建材检验认证集团股份有限公司 | Coal consumption on-line metering system |
| CN110819367B (en) * | 2019-10-24 | 2021-03-26 | 华南农业大学 | Biomass fuel quality prediction method and application thereof |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101918815A (en) * | 2007-11-02 | 2010-12-15 | 赛乐斯股份有限公司 | Materials and methods for use in biomass processing |
| CN103335914A (en) * | 2013-06-19 | 2013-10-02 | 广东电网公司电力科学研究院 | Measuring method of woody biomass carbon content |
| CN103983472A (en) * | 2014-05-29 | 2014-08-13 | 广东科立恩环保科技有限公司 | Intelligent biomass fuel acousto-optic recognition sampling system and method |
-
2014
- 2014-05-29 CN CN201410232615.7A patent/CN103983472A/en active Pending
-
2015
- 2015-01-30 CN CN201510046900.4A patent/CN104596792B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101918815A (en) * | 2007-11-02 | 2010-12-15 | 赛乐斯股份有限公司 | Materials and methods for use in biomass processing |
| CN103335914A (en) * | 2013-06-19 | 2013-10-02 | 广东电网公司电力科学研究院 | Measuring method of woody biomass carbon content |
| CN103983472A (en) * | 2014-05-29 | 2014-08-13 | 广东科立恩环保科技有限公司 | Intelligent biomass fuel acousto-optic recognition sampling system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104596792A (en) | 2015-05-06 |
| CN103983472A (en) | 2014-08-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104596792B (en) | A kind of biomass fuel intellegent sampling system and method for acousto-optic identification | |
| Macedo | Greenhouse gas emissions and energy balances in bio-ethanol production and utilization in Brazil (1996) | |
| Ozgen et al. | Experimental evaluation of particle number emissions from wood combustion in a closed fireplace | |
| Mijailovic et al. | Energy potential of tobacco stalks in briquettes and pellets production | |
| CN205052215U (en) | Use multi -functional harvester of straw as fuel | |
| Đurđević et al. | Energy potential of digestate produced by anaerobic digestion in biogas power plants: The case study of Croatia | |
| Al-Kayiem et al. | Drying of empty fruit bunches as wasted biomass by hybrid solar–thermal drying technique | |
| Kozłowski et al. | Extrusion pretreatment of maize straw-case study for a Polish biogas plants | |
| de Carvalho Macedo | Greenhouse gas emissions and energy balances in bio-ethanol production and utilization in Brazil (1996) | |
| Chandra et al. | Energy generation from paddy straw | |
| CN105021651A (en) | Synchronized quantitative analysis method of biomass combustion and gaseous emission, | |
| CN102925238B (en) | Biomass granular fuel produced from tobacco waste and preparation method of biomass granular fuel | |
| CN102604708B (en) | Straw coal | |
| CN205229114U (en) | Biomass fuel combustion characteristic test device | |
| Everard et al. | Evaluation of self-heating in Miscanthus x giganteus energy crop clamps and the implications for harvesting time | |
| CN202141475U (en) | Key parameter collecting system for organic solid waste aerobic fermentation project | |
| CN103900145A (en) | Smolder heating technology | |
| Gołuchowska et al. | Biomass utilization as a renevable energy source in polish power industry–current status and perspectives | |
| CN204298329U (en) | Rice husk carbonizing burning and combustion gases gas collection utilize device | |
| Wang et al. | The study of combustion characteristics of corn stalks and cobs via TGA-DTG-DSC analysis | |
| Choi et al. | Production and fuel properties of wood chips from logging residues by timber harvesting methods | |
| CN102288224A (en) | Organic solid waste aerobic fermentation engineering key parameter data acquisition system | |
| Liu | Real time identification technique for ultimate analysis and calorific value of burning coal in utility boiler. | |
| Al-Kayiem et al. | Drying of EFB by hybrid solar/biomass thermal backup | |
| Marosvölgyi et al. | Poplars as biological energy sources in Hungary |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CP02 | Change in the address of a patent holder |
Address after: Four, 401, building 18, science Road, Science Town, Guangzhou hi tech Industrial Development Zone, Guangdong 510663, China Patentee after: Guangdong Kelien Environmental Protection Technology Co., Ltd. Address before: 510060 room 1712, Dongbao building, No. 767 Dongfeng East Road, Guangzhou, Guangdong, Yuexiu District Patentee before: Guangdong Kelien Environmental Protection Technology Co., Ltd. |
|
| CP02 | Change in the address of a patent holder |