CN114659554B - Fault diagnosis method for biomass granulator - Google Patents

Fault diagnosis method for biomass granulator Download PDF

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CN114659554B
CN114659554B CN202210193325.0A CN202210193325A CN114659554B CN 114659554 B CN114659554 B CN 114659554B CN 202210193325 A CN202210193325 A CN 202210193325A CN 114659554 B CN114659554 B CN 114659554B
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fault
biomass
sampling periods
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CN114659554A (en
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刘立超
汤君杰
毕全鹏
郑泉
陈黎卿
王韦韦
张春岭
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Anhui Agricultural University AHAU
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B01PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01JCHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY; THEIR RELEVANT APPARATUS
    • B01J2/00Processes or devices for granulating materials, e.g. fertilisers in general; Rendering particulate materials free flowing in general, e.g. making them hydrophobic
    • B01J2/22Processes or devices for granulating materials, e.g. fertilisers in general; Rendering particulate materials free flowing in general, e.g. making them hydrophobic by pressing in moulds or between rollers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00Subject matter not provided for in other groups of this subclass
    • G01M99/005Testing of complete machines, e.g. washing-machines or mobile phones
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E50/00Technologies for the production of fuel of non-fossil origin
    • Y02E50/10Biofuels, e.g. bio-diesel
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E50/00Technologies for the production of fuel of non-fossil origin
    • Y02E50/30Fuel from waste, e.g. synthetic alcohol or diesel

Abstract

The invention discloses a fault diagnosis method of a biomass granulator, and belongs to the technical field of biomass granulators; a fault diagnosis method of a biomass particle machine comprises the steps of judging whether a fault monitoring parameter meets a preset fault cause judgment condition or not by collecting the fault monitoring parameter of the biomass particle machine, determining a fault type when the fault monitoring parameter meets the preset fault judgment condition, and acquiring, outputting and storing running state information of a preset period; by applying the technical scheme, when the fault occurs, namely the fault monitoring parameters meet the preset fault conditions, the corresponding fault type can be determined, and the running state information of the relevant time period is output and stored, so that relevant equipment or technicians can accurately locate the fault by analyzing the running state information, and further corresponding measures can be taken rapidly to remove the fault.

Description

Fault diagnosis method for biomass granulator
Technical Field
The invention relates to the technical field of biomass granulator, in particular to a fault diagnosis method of biomass granulator.
Background
Common biomass particle molding quality problems mainly comprise carbonization of the surfaces of biomass particles, loose and unshaped biomass particles and disqualification of the sizes of the biomass particles; the quality of the biomass particles greatly influences the use effect of the biomass particles, the burning performance of the biomass particles with carbonized surfaces can be greatly influenced, the transportation of the biomass particles can be influenced due to unqualified biomass particle size, and the particles can not be directly used due to loose and unshaped particles; in the process of forming biomass particles, the performance of the biomass particles is affected by a plurality of factors, such as the water content of raw materials, the forming pressure, the forming temperature and the like; meanwhile, the biomass granulator is easy to cause the problem of energy consumption increase due to abrasion of the annular mould holes and blockage of impurities in powder, and serious production accidents can be caused; at present, a method for troubleshooting the cause of the fault after the problem is solved is lacking, and in order to solve the problem, the invention provides a method for diagnosing the fault of the biomass granulator.
Disclosure of Invention
The invention aims to provide a fault diagnosis method for a biomass granulator, which aims to solve the problems in the background art:
at present, a fault diagnosis method of the biomass granulator is lacking, and certain difficulties are brought to subsequent debugging and maintenance work.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the fault diagnosis method of the biomass granulator specifically comprises the following steps:
s1, collecting fault monitoring parameters of a biomass granulator, wherein the collected fault monitoring parameters comprise the surface carbonization degree of biomass particles, the forming density of the biomass particles, the outline dimension of the biomass particles and the energy consumption parameters of the biomass granulator;
s2, judging whether the collected fault monitoring parameters meet preset fault cause judgment conditions or not;
s3, when the fault monitoring parameters acquired in the S2 meet the preset fault cause judging conditions, determining the fault type according to the fault monitoring parameters, acquiring, outputting and storing running state information of a preset period, and starting to judge the fault cause;
s4, after determining the fault type, collecting fault cause monitoring parameters of the biomass granulator, wherein the fault cause monitoring parameters comprise ring die temperature, positive pressure in the inner surface of a ring die hole, main motor rotating speed, production energy consumption, production rate, biomass granule forming density, length-diameter ratio and section shape;
S5, judging whether the fault cause monitoring parameters acquired in S4 meet preset fault cause judging conditions, determining specific fault causes, and acquiring, outputting and storing running state information of a preset period.
Preferably, the particle surface carbonization determination condition mentioned in S1 is: the measured values of the ring mode temperature in the continuous alpha sampling periods are all larger than a preset carbonization value L;
judging faults including blockage faults of a die hole of a ring die, overlarge faults of parameter setting of a press roll gap, overlarge faults of motor rotating speed setting and overlarge faults of parameter setting of water content of raw materials based on preset fault reasons of carbonization degree of the surface of biomass particles;
wherein, the ring mould orifice jam fault judgement condition includes: the measured values of the ring mode temperature in the continuous X sampling periods are all larger than the preset temperature maximum value a, and the measured values of the production rate in the continuous Y sampling periods are all reduced to b, wherein X and Y are positive integers;
the excessive fault judging condition of the press roll gap parameter setting comprises the following steps:
1) The measured values of the temperature of the ring die in the continuous X sampling periods are smaller than the preset temperature maximum value a, and the measured values of the positive pressure in the inner face of the die hole of the ring die in the continuous Z sampling periods are larger than the preset positive pressure maximum value c in the inner face of the die hole of the ring die, wherein Z is a positive integer;
2) The measured values of the ring mold temperature in the continuous X sampling periods are all larger than a preset temperature maximum value a, the measured values of the production rate in the continuous Y sampling periods are all reduced to b, and the measured values of the positive pressure in the inner surface of the ring mold hole in the continuous Z sampling periods are all larger than a preset ring mold hole inner surface positive pressure maximum value c;
the motor rotation speed setting excessive fault judging condition comprises: after the fault of blocking the die hole and the excessive fault of the parameter setting of the press roll gap are removed, measuring values of the motor rotating speed in M continuous sampling periods are larger than the maximum value d of the motor rotating speed, wherein M is a positive integer;
the fault judging condition for setting the water content parameter of the raw material comprises the following steps: the faults of blocking the die holes, overlarge parameter setting of the press roll clearance and overlarge motor rotating speed setting are eliminated.
Preferably, the molding density judgment condition of the biomass particles mentioned in S1 is: the measured values of the ring mode temperature in the continuous beta sampling periods are all larger than a preset carbonization value j;
judging faults including too low a motor rotating speed setting fault, insufficient materials or auger blocking fault, transmission belt or bearing fault, too small a press roll gap setting fault and excessive wear failure fault of a die hole based on preset fault reasons of the molding density of biomass particles;
Wherein, the motor rotation speed setting too low fault judgment condition includes: the measured value of the production rate is reduced to b in Y continuous sampling periods, and the measured value of the motor rotating speed in M continuous sampling periods is smaller than e;
the judging conditions of insufficient materials or auger blockage faults comprise: the measured value of the production rate in Y continuous sampling periods is reduced to b, the measured value of the motor rotation speed in M continuous sampling periods is larger than e, and meanwhile, the material fails to fall correctly in L continuous sampling periods, wherein L is a positive integer;
the transmission belt or bearing fault judging conditions comprise: the measured value of the production rate is reduced to b in Y continuous sampling periods, and the faults of too low motor rotation speed setting, insufficient materials or auger blockage are eliminated;
the setting of the too small fault judging condition of the press roll gap comprises the following steps: the measured value of the production rate is higher than b in two continuous Y sampling periods, and the measured value of the positive pressure in the inner surface of the annular die hole is smaller than the minimum value f of the positive pressure in the inner surface of the preset annular die hole in Z continuous sampling periods;
the fault judging conditions of the excessive wear failure of the die hole comprise: the measurement values of the production rate in Y continuous sampling periods are higher than b, and the measurement values of the positive pressure in the inner surface of the annular die hole in Z continuous sampling periods are higher than the minimum value f of the positive pressure in the inner surface of the preset annular die hole.
Preferably, the judging of the preset failure cause based on the molding density of the biomass particles mentioned in S1 includes: the main motor is not matched with the rotating speed of the scraper motor, and the scraper is worn;
wherein, main motor and scraper motor rotational speed set up mismatching trouble judgement condition include: the aspect ratio of the biological particles is not within the interval (H, I) in two consecutive sampling periods;
the scraper wear fault judging conditions comprise: the end cuts of the biological particles occur in oblique or irregular cuts during two consecutive sampling periods.
Preferably, the energy consumption parameter judgment condition of the biomass granulator mentioned in S1 is: whether the total current of the biomass granulator exceeds a maximum standard k in continuous gamma sampling periods;
judging the failure reasons preset based on the energy consumption parameters of the biomass granulator, wherein the failure reasons comprise transmission device damage failure, die hole blocking failure, extrusion speed setting too low failure, press roll gap setting too large failure and impurity too much blocking failure;
wherein the transmission damage fault determination conditions include: the density of the biomass particles is larger than the maximum standard g in N continuous sampling periods, meanwhile, the measured value of the motor rotation speed in M continuous sampling periods is larger than e, and the section area of the biomass particles is not reduced;
The die hole blockage fault judging conditions comprise: the density of biomass particles is larger than the maximum standard g in N continuous sampling periods, meanwhile, the measured value of the motor rotation speed in M continuous sampling periods is larger than e, and the section area of the biomass particles is smaller;
the extrusion speed setting too low fault judgment conditions include: the density of biological particles in the continuous N sampling periods is larger than the maximum standard g, and the measured value of the motor rotating speed in the continuous M sampling periods is smaller than e;
the excessive fault judging condition of the press roll gap comprises the following steps: the density of biological particles is smaller than the maximum standard g in N continuous sampling periods, and the measured value of the positive pressure in the inner face of the annular die hole in Z continuous sampling periods is larger than c;
the excessive impurity blocking fault judging condition comprises: the density of the biological particles is less than the maximum standard g in each of the N continuous sampling periods, and the measured value of the positive pressure in the inner surface of the annular die hole is less than c in each of the Z continuous sampling periods.
Preferably, the collecting of the biomass particle carbonization degree parameter mentioned in S1 specifically includes the following steps:
a1, measuring the carbonization degree of the surface of biomass particles by a carbonization depth sensor fixedly arranged in a blanking area of a biomass granulator body;
A2, when the biomass granulator body works, acquiring the surface carbonization degree of biomass particles in real time according to the carbonization depth sensor in E1;
the energy consumption parameter acquisition of the biomass particle energy mentioned in the step S1 specifically comprises the following steps:
b1, measuring the running current of the biomass granulator through an alternating current transformer arranged in an electrical cabinet;
and B2, when the biomass granulator body works, acquiring running current information of the biomass granulator in real time according to the alternating current transformer in the B1.
Preferably, the collecting of the ring mold temperature parameter mentioned in S4 specifically includes the following steps:
c1, acquiring the temperature of the inner wall of the annular die through an AT probe fixedly inlaid in a temperature sensor on the inner wall of the annular die;
c2, when the biomass granulator body works, the temperature information of the inner wall of the ring mould, which is obtained in real time by the temperature sensor in the C1, is obtained;
the step S4 of collecting positive pressure parameters in the inner surface of the annular die hole specifically comprises the following steps:
d1, collecting positive pressure e on the inner surface of the inner wall of the annular die hole through a pressure sensor fixedly arranged on the inner wall of the annular body between the annular die through holes;
d2, when the biomass granulator body works, according to the internal face positive pressure information of the inner wall of the annular die hole obtained in real time by the pressure sensor in the step D1;
The main motor rotating speed parameter collection mentioned in the step S4 specifically comprises the following steps:
e1, collecting the rotating speed of the motor through an encoder fixedly arranged in the motor;
e2, when the biomass granulator body works, acquiring motor rotation speed information in real time according to the encoder in E1;
the step S4 of collecting the length-diameter ratio parameters of the biomass particles specifically comprises the following steps:
f1, acquiring a biomass particle finished product picture through an industrial camera, and transmitting the picture to an industrial personal computer;
f2, recognizing and measuring the length r and the diameter s of biomass particles through an industrial personal computer;
f3, calculating the length-diameter ratio rho of the biomass particles, wherein the calculation formula is as follows:
Figure BDA0003525779250000051
f4, when the biomass granulator body works, acquiring the length-diameter ratio of biomass particles in real time according to the measurement result of the industrial personal computer;
the biomass particle end face incision shape parameter collection mentioned in the step S4 specifically comprises the following steps:
the method comprises the steps of G1, collecting a biomass particle end face incision picture through an industrial camera, and transmitting the picture to an industrial personal computer;
g2, recognizing and measuring the shape of an end face incision of the biomass particles through an industrial personal computer;
and G3, when the biomass granulator body works, acquiring the flatness of the end face incision of the biomass particles in real time according to the identification result of the industrial personal computer.
Compared with the prior art, the invention provides a fault diagnosis method for a biomass granulator, which has the following beneficial effects:
the fault diagnosis method of the biomass granulator changes the existing fault diagnosis method of the biomass granulator, and judges the fault phenomenon by detecting the carbonization degree of the surface of biomass particles, the molding density of the biomass particles, the appearance and the size of the biomass particles and the production energy consumption of the biomass granulator; and then the faults are accurately positioned by measuring the temperature of the inner wall of the annular die hole, the positive pressure of the inner surface of the inner wall of the annular die hole, the rotating speed of the motor, the production rate, the particle density and the particle shape and size, and corresponding measures can be taken rapidly to remove the faults.
Drawings
FIG. 1 is a schematic flow chart of a method for diagnosing faults of a biomass granulator;
fig. 2 is a flowchart of fault diagnosis of carbonization degree on the surface of biomass particles in the fault diagnosis method of the biomass particle machine;
FIG. 3 is a flow chart of loose fault diagnosis of biomass particle formation in the fault diagnosis method of the biomass granulator;
fig. 4 is a flowchart of a biomass particle energy consumption abnormal increase fault diagnosis method of the biomass particle machine fault diagnosis method;
Fig. 5 is a flow chart of diagnosing the appearance faults of the biomass particles according to the fault diagnosing method of the biomass particle machine.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
Example 1:
referring to fig. 1-5, a fault diagnosis method for a biomass granulator specifically includes the following steps:
s1, collecting fault monitoring parameters of a biomass granulator, wherein the collected fault monitoring parameters comprise the surface carbonization degree of biomass particles, the forming density of the biomass particles, the outline dimension of the biomass particles and the energy consumption parameters of the biomass granulator;
the conditions for judging the carbonization of the particle surface mentioned in S1 are as follows: the measured values of the mode temperature in the continuous multiple sampling periods alpha are all larger than a preset carbonization value L;
judging faults including blockage faults of a die hole of a ring die, overlarge faults of parameter setting of a press roll gap, overlarge faults of motor rotating speed setting and overlarge faults of parameter setting of water content of raw materials based on preset fault reasons of carbonization degree of the surface of biomass particles;
Wherein, the ring mould orifice jam fault judgement condition includes: the measured value of the mode temperature in the continuous sampling period X is larger than the preset temperature maximum value a, and the measured value of the production rate in the continuous sampling period Y is reduced to b, wherein X and Y are positive integers;
the excessive fault judging conditions of the parameter setting of the press roll gap include:
3) The measured values of the internal mold temperature in the continuous multiple sampling periods X are smaller than the preset temperature maximum value a, and the measured values of the internal positive pressure of the internal mold hole of the annular mold in the continuous multiple sampling periods Z are larger than the preset internal positive pressure maximum value c of the internal mold hole of the annular mold, wherein Z is a positive integer;
4) The measured value of the internal annular die temperature in the continuous multiple sampling periods X is larger than a preset temperature maximum value a, the measured value of the production rate in the continuous multiple sampling periods Y is reduced to b, and the measured value of the internal annular die hole positive pressure in the continuous multiple sampling periods Z is larger than a preset internal annular die hole positive pressure maximum value c;
the motor rotation speed setting excessive fault judging condition comprises: after the fault of blocking the die hole and the overlarge fault of the parameter setting of the press roll gap are removed, measuring values of the motor rotating speed in a plurality of continuous sampling periods M are larger than the maximum value d of the motor rotating speed, wherein M is a positive integer;
The fault judging conditions for the overlarge water content parameter setting of the raw materials comprise: the faults of blocking the die holes, overlarge parameter setting of the press roll gap and overlarge motor rotating speed setting are eliminated;
the molding density judgment conditions of the biomass particles mentioned in S1 are: the measured value of the mode temperature in the beta-ring of continuous multiple sampling periods is larger than a preset carbonization value j;
judging faults including too low a motor rotating speed setting fault, insufficient materials or auger blocking fault, transmission belt or bearing fault, too small a press roll gap setting fault and excessive wear failure fault of a die hole based on preset fault reasons of the molding density of biomass particles;
wherein, the motor rotation speed setting too low fault judgment condition includes: the measured value of the production rate is reduced to b in a plurality of continuous sampling periods Y, and the measured value of the motor rotating speed in a plurality of continuous sampling periods M is smaller than e;
the judging conditions of insufficient materials or auger blockage faults include: the measured value of the production rate in a plurality of continuous sampling periods Y is reduced to b, the measured value of the motor rotation speed in a plurality of continuous sampling periods M is larger than e, and meanwhile, the material in a plurality of continuous sampling periods L cannot fall correctly, wherein L is a positive integer;
The drive belt or bearing failure determination conditions include: the measured value of the production rate is reduced to b in a plurality of continuous sampling periods Y, and the faults of too low motor rotation speed setting, insufficient materials or auger blockage are eliminated;
the conditions for judging the too small faults of the press roll gap comprise: the measured values of the production rate in a plurality of continuous sampling periods Y are higher than b, and the measured values of the positive pressure in the inner surface of the annular die hole in a plurality of continuous sampling periods Z are smaller than the minimum value f of the positive pressure in the inner surface of the preset annular die hole;
the fault judging conditions of excessive wear failure of the die hole include: the measured values of the production rate in a plurality of continuous sampling periods Y are higher than b, and the measured values of the positive pressure in the inner surface of the annular die hole in a plurality of continuous sampling periods Z are larger than the minimum value f of the positive pressure in the inner surface of the preset annular die hole;
the preset fault cause judgment based on the molding density of the biomass particles mentioned in S1 includes: the main motor is not matched with the rotating speed of the scraper motor, and the scraper is worn;
wherein, main motor and scraper motor rotational speed setting mismatch fault judgement condition includes: the aspect ratio of the biological particles is not within the interval (H, I) in two consecutive sampling periods;
the doctor blade wear failure judgment conditions include: oblique or irregular cuts appear in the end face cuts of biological particles in two consecutive sampling periods;
The energy consumption parameter judgment conditions of the biomass granulator mentioned in the S1 are as follows: whether the total current of the biological granulator exceeds a maximum standard k in a plurality of continuous sampling periods gamma;
judging the failure reasons preset based on the energy consumption parameters of the biomass granulator, wherein the failure reasons comprise transmission device damage failure, die hole blocking failure, extrusion speed setting too low failure, press roll gap setting too large failure and impurity too much blocking failure;
wherein, transmission damage fault judgement conditions include: the density of biomass particles in a plurality of continuous sampling periods N is larger than the maximum standard g, meanwhile, the measured value of the rotating speed of the motor in a plurality of continuous sampling periods M is larger than e, and the section area of the biomass particles is not reduced;
the die hole blockage fault judging conditions comprise: the density of biomass particles in a plurality of continuous sampling periods N is larger than the maximum standard g, meanwhile, the measured value of the rotating speed of the motor in a plurality of continuous sampling periods M is larger than e, and the section area of the biomass particles is reduced;
the extrusion speed setting too low failure judgment conditions include: the density of biomass particles is greater than the maximum standard g in a plurality of continuous sampling periods N, and the measured value of the motor rotation speed is smaller than e in a plurality of continuous sampling periods M;
The setting of the excessive fault judging condition for the press roll gap comprises the following steps: the density of biomass particles in a plurality of continuous sampling periods N is smaller than the maximum standard g, and the measured value of the internal positive pressure of the annular die hole in a plurality of continuous sampling periods Z is larger than c;
the excessive impurity blocking fault judgment conditions include: the density of biomass particles in a plurality of continuous sampling periods N is smaller than the maximum standard g, and the measured value of the internal positive pressure of the annular die hole in a plurality of continuous sampling periods Z is smaller than c;
the biomass particle carbonization degree parameter collection mentioned in the S1 specifically comprises the following steps:
a1, measuring the carbonization degree of the surface of biomass particles by a carbonization depth sensor fixedly arranged in a blanking area of a biomass granulator body;
a2, when the biomass granulator body works, acquiring the surface carbonization degree of biomass particles in real time according to the carbonization depth sensor in E1;
the energy consumption parameter acquisition of the biomass particle energy mentioned in the S1 specifically comprises the following steps:
b1, measuring the running current of the biomass granulator through an alternating current transformer arranged in an electrical cabinet;
b2, when the biomass granulator body works, acquiring running current information of the biomass granulator in real time according to the alternating current transformer in the B1;
S2, judging whether the collected fault monitoring parameters meet preset fault cause judgment conditions or not;
s3, when the fault monitoring parameters acquired in the S2 meet the preset fault cause judging conditions, determining the fault type according to the fault monitoring parameters, acquiring, outputting and storing running state information of a preset period, and starting to judge the fault cause;
s4, after determining the fault type, collecting fault cause monitoring parameters of the biomass granulator, wherein the fault cause monitoring parameters comprise ring die temperature, positive pressure in the inner surface of a ring die hole, main motor rotating speed, production energy consumption, production rate, biomass granule forming density, length-diameter ratio and section shape;
s4, collecting the temperature parameters of the ring mould, which specifically comprises the following steps:
c1, acquiring the temperature of the inner wall of the annular die through an AT probe fixedly inlaid in a temperature sensor on the inner wall of the annular die;
c2, when the biomass granulator body works, the temperature information of the inner wall of the ring mould, which is obtained in real time by the temperature sensor in the C1, is obtained;
s4, collecting positive pressure parameters of the inner face of the annular die hole, which specifically comprises the following steps:
d1, collecting positive pressure e on the inner surface of the inner wall of the annular die hole through a pressure sensor fixedly arranged on the inner wall of the annular body between the annular die through holes;
D2, when the biomass granulator body works, according to the internal face positive pressure information of the inner wall of the annular die hole obtained in real time by the pressure sensor in the step D1;
s4, collecting the rotating speed parameters of the main motor, and specifically comprising the following steps:
e1, collecting the rotating speed of the motor through an encoder fixedly arranged in the motor;
e2, when the biomass granulator body works, acquiring motor rotation speed information in real time according to the encoder in E1;
s4, collecting the length-diameter ratio parameters of the biomass particles, which specifically comprises the following steps:
f1, acquiring a biomass particle finished product picture through an industrial camera, and transmitting the picture to an industrial personal computer;
f2, recognizing and measuring the length r and the diameter s of biomass particles through an industrial personal computer;
f3, calculating the length-diameter ratio rho of the biomass particles, wherein the calculation formula is as follows:
Figure BDA0003525779250000091
f4, when the biomass granulator body works, acquiring the length-diameter ratio of biomass particles in real time according to the measurement result of the industrial personal computer;
s4, acquiring shape parameters of the biomass particle end face incision, and specifically comprising the following steps:
the method comprises the steps of G1, collecting a biomass particle end face incision picture through an industrial camera, and transmitting the picture to an industrial personal computer;
g2, recognizing and measuring the shape of an end face incision of the biomass particles through an industrial personal computer;
G3, when the biomass granulator body works, acquiring the flatness of the end face incision of the biomass particles in real time according to the identification result of the industrial personal computer
S5, judging whether the fault cause monitoring parameters acquired in S4 meet preset fault cause judging conditions, determining specific fault causes, and acquiring, outputting and storing running state information of a preset period.
The fault diagnosis method of the biomass granulator changes the existing fault diagnosis method of the biomass granulator, and judges the fault phenomenon by detecting the carbonization degree of the surface of biomass particles, the molding density of the biomass particles, the appearance and the size of the biomass particles and the production energy consumption of the biomass granulator; and then the faults are accurately positioned by measuring the temperature of the inner wall of the annular die hole, the positive pressure of the inner surface of the inner wall of the annular die hole, the rotating speed of the motor, the production rate, the particle density and the particle shape and size, and corresponding measures can be taken rapidly to remove the faults.
Example 2:
referring to fig. 1-5, embodiment 1 is based on but different from, a method for diagnosing faults of a biomass granulator, which specifically comprises the following steps:
s1, collecting fault monitoring parameters of a biomass granulator, wherein the collected fault monitoring parameters comprise the surface carbonization degree of biomass particles, the forming density of the biomass particles, the outline dimension of the biomass particles and the energy consumption parameters of the biomass granulator;
The conditions for judging the carbonization of the particle surface mentioned in S1 are as follows: the measured value of the ring mode temperature is more than 10 percent (preset carbonization value) in a plurality of sampling periods of 1min continuously;
judging faults including blockage faults of a die hole of a ring die, overlarge faults of parameter setting of a press roll gap, overlarge faults of motor rotating speed setting and overlarge faults of parameter setting of water content of raw materials based on preset fault reasons of carbonization degree of the surface of biomass particles;
wherein, the ring mould orifice jam fault judgement condition includes: the measured value of the mode temperature is larger than 160 ℃ in the sampling periods of 30S continuously, and the measured value of the production rate is reduced to 2000kg/h in the sampling periods of 30S continuously;
the excessive fault judging conditions of the parameter setting of the press roll gap include:
5) The measured values of the internal die temperature are smaller than 160 ℃ in a plurality of 30S sampling periods, and the measured values of the internal die hole internal pressure are larger than 18000N (the maximum value of the internal pressure of the preset internal die hole) in a plurality of 10S sampling periods;
6) The measured value of the internal die temperature is larger than 160 ℃ in a plurality of 30S sampling periods (preset temperature maximum value), the measured value of the production rate is reduced to 2000kg/h in a plurality of 30S sampling periods, and the measured value of the internal face positive pressure of the internal die hole is larger than 18000N (preset internal face positive pressure maximum value of the internal face of the internal die hole) in a plurality of 10S sampling periods;
The motor rotation speed setting excessive fault judging condition comprises: after the die hole blocking faults and the excessive faults of the press roll clearance parameter setting are removed, measuring values of the motor rotating speed in a plurality of continuous sampling periods of 10S are all larger than 220r/min (the maximum value of the motor setting rotating speed);
the fault judging conditions for the overlarge water content parameter setting of the raw materials comprise: the faults of blocking the die holes, overlarge parameter setting of the press roll gap and overlarge setting of the motor set rotating speed are eliminated;
the molding density judgment conditions of the biomass particles mentioned in S1 are: particle density measurements over successive 10S sampling periods are greater than 1.18g/cm 3 (preset particle density minimum standard);
judging faults including too low a motor rotating speed setting fault, insufficient materials or auger blocking fault, transmission belt or bearing fault, too small a press roll gap setting fault and excessive wear failure fault of a die hole based on preset fault reasons of the molding density of biomass particles;
wherein, the motor rotation speed setting too low fault judgment condition includes: the measured value of the production rate in the continuous sampling periods of 30S is reduced to 2000kg/h, and the measured value of the motor rotating speed in the continuous sampling periods of 10S is smaller than 160r/min (motor set rotating speed minimum value);
The judging conditions of insufficient materials or auger blockage faults include: the measured value of the production rate in the sampling period of 30S continuously drops to 2000kg/h, and the measured value of the actual rotating speed of the motor in the sampling period of 10S continuously is larger than 160r/min (the minimum value of the set rotating speed of the motor), and meanwhile, the material fails to drop correctly in the sampling period of 5S continuously;
the drive belt or bearing failure determination conditions include: the measured value of the production rate is reduced to 2000kg/h in a plurality of continuous sampling periods of 30S, and the faults of too low motor rotation speed setting, insufficient materials or auger blockage are eliminated;
the conditions for judging the too small faults of the press roll gap comprise: the measured values of the production rate are higher than 2000kg/h in a plurality of 30S sampling periods, and the measured values of the internal positive pressure of the internal die holes are smaller than 6000N (the minimum value of the internal positive pressure of the preset internal die holes) in a plurality of 10S sampling periods;
the fault judging conditions of excessive wear failure of the die hole include: the measured values of the production rate in the sampling periods of a plurality of 30S are higher than 2000kg/h, and the measured values of the internal positive pressure of the internal die holes in the sampling periods of a plurality of 10S are higher than the minimum value 6000N of the internal positive pressure of the preset internal die holes (the minimum value of the internal positive pressure of the preset internal die holes);
The preset fault cause judgment based on the molding density of the biomass particles mentioned in S1 includes: the main motor is not matched with the rotating speed of the scraper motor, and the scraper is worn;
wherein, main motor and scraper motor rotational speed setting mismatch fault judgement condition includes: the aspect ratio of the biological particles is not within the interval (4.5,5.5) in two consecutive sampling periods;
the doctor blade wear failure judgment conditions include: oblique or irregular cuts appear in the end face cuts of biological particles in two consecutive sampling periods;
the energy consumption parameter judgment conditions of the biomass granulator mentioned in the S1 are as follows: whether the total current of the bio-granulator exceeds 55A (machine current maximum standard) during a number of consecutive sampling periods of 10S;
judging faults including hardening faults of powder deposition on the lower layer of the ring die, damage faults of a transmission device, excessively low extrusion speed setting faults, excessively large press roll gap setting faults and excessively excessive impurity blocking faults based on preset fault reasons of energy consumption parameters of the biomass granulator;
wherein, the powder deposition hardening fault judgment conditions of the lower layer of the ring mould comprise: the density of biological particles is greater than 1.18g/cm in a plurality of sampling periods of 5S 3 (presetting a maximum standard of particle density), wherein the measured value of the actual rotating speed of the motor is larger than 160r/min (the minimum value of the set rotating speed of the motor) in a plurality of sampling periods of 10S, and the production rate of the biological particle machine is smaller than 2000kg/h in a plurality of sampling periods of 30S;
The transmission damage fault judging conditions include: the density of biological particles is greater than 1.18g/cm in a plurality of sampling periods of 5S 3 (preset maximum particle density standard), and simultaneously, the measured value of the motor set rotating speed is larger than 160r/min (minimum motor set rotating speed) in a plurality of continuous sampling periods of 10S, and the production rate of the biological particle machine is larger than 2000kg/h in a plurality of continuous sampling periods of 30S;
the extrusion speed setting too low failure judgment conditions include: the density of biological particles is greater than 1.18g/cm in a plurality of sampling periods of 5S 3 (preset maximum particle density standard), and the measured value of the motor rotation speed in a plurality of sampling periods of 10S is less than 160r/min (minimum motor set rotation speed);
the setting of the excessive fault judging condition for the press roll gap comprises the following steps: the density of biological particles is less than 1.18g/cm in a plurality of sampling periods of 5S 3 (preset maximum particle density standard) and the measured value of the internal positive pressure of the annular die hole is larger than 18000N (preset maximum internal positive pressure of the annular die hole) in a plurality of sampling periods of 10 seconds;
the excessive impurity blocking fault judgment conditions include: the density of the endoplasmic reticulum particles is less than 1.18g/cm in a plurality of sampling periods of 5S 3 (preset maximum particle density standard), and the measured value of the positive pressure inside the inner ring die hole in a plurality of sampling periods of 10 seconds is smaller than 18000N (preset maximum positive pressure inside the inner ring die hole);
the biomass particle carbonization degree parameter collection mentioned in the S1 specifically comprises the following steps:
a1, measuring the carbonization degree of the surface of biomass particles by a carbonization depth sensor fixedly arranged in a blanking area of a biomass granulator body;
a2, when the biomass granulator body works, acquiring the surface carbonization degree of biomass particles in real time according to the carbonization depth sensor in A1;
the energy consumption parameter acquisition of the biomass particle energy mentioned in the S1 specifically comprises the following steps:
b1, measuring the running current of the biomass granulator through an alternating current transformer arranged in an electrical cabinet;
b2, when the biomass granulator body works, acquiring running current information of the biomass granulator in real time according to the alternating current transformer in the B1;
s2, judging whether the collected fault monitoring parameters meet preset fault cause judgment conditions or not;
s3, when the fault monitoring parameters acquired in the S2 meet the preset fault cause judging conditions, determining the fault type according to the fault monitoring parameters, acquiring, outputting and storing running state information of a preset period, and starting to judge the fault cause;
S4, after determining the fault type, collecting fault cause monitoring parameters of the biomass granulator, wherein the fault cause monitoring parameters comprise ring die temperature, positive pressure in the inner surface of a ring die hole, main motor rotating speed, production energy consumption, production rate, biomass granule forming density, length-diameter ratio and section shape;
s4, collecting the temperature parameters of the ring mould, which specifically comprises the following steps:
c1, acquiring the temperature of the inner wall of the annular die through an AT probe fixedly inlaid in a temperature sensor on the inner wall of the annular die;
c2, when the biomass granulator body works, the temperature information of the inner wall of the ring mould, which is obtained in real time by the temperature sensor in the C1, is obtained;
s4, collecting positive pressure parameters of the inner face of the annular die hole, which specifically comprises the following steps:
d1, collecting positive pressure on the inner surface of the ring die hole through a pressure sensor fixedly arranged on the inner wall of the ring body between the ring die through holes;
d2, when the biomass granulator body works, according to the internal face positive pressure information of the inner wall of the annular die hole obtained in real time by the pressure sensor in the step D1;
s4, collecting the rotating speed parameters of the main motor, and specifically comprising the following steps:
e1, acquiring the actual rotating speed of the motor through an encoder fixedly arranged in the motor;
e2, acquiring actual rotating speed information of the motor in real time according to the encoder in E1 when the biomass granulator body works;
S4, collecting the length-diameter ratio parameters of the biomass particles, which specifically comprises the following steps:
f1, acquiring a biomass particle finished product picture through an industrial camera, and transmitting the picture to an industrial personal computer;
f2, recognizing and measuring the length r and the diameter s of biomass particles through an industrial personal computer;
f3, calculating the length-diameter ratio rho of the biomass particles, wherein the calculation formula is as follows:
Figure BDA0003525779250000141
f4, when the biomass granulator body works, acquiring the length-diameter ratio of biomass particles in real time according to the measurement result of the industrial personal computer;
s4, acquiring shape parameters of the biomass particle end face incision, and specifically comprising the following steps:
the method comprises the steps of G1, collecting a biomass particle end face incision picture through an industrial camera, and transmitting the picture to an industrial personal computer;
g2, recognizing and measuring the shape of an end face incision of the biomass particles through an industrial personal computer;
g3, when the biomass granulator body works, acquiring the flatness of the end face incision of the biomass particles in real time according to the identification result of the industrial personal computer;
s5, judging whether the fault cause monitoring parameters acquired in S4 meet preset fault cause judging conditions, determining specific fault causes, and acquiring, outputting and storing running state information of a preset period.
Example 3:
referring to fig. 1-5, based on embodiments 1-2 but with the difference that,
A flow chart of a method for detecting faults of a biomass granulator, the method comprising the following steps:
s101: collecting fault monitoring parameters of the biomass granulator; the fault monitoring parameters comprise the surface carbonization degree of biomass particles, the forming density of the biomass particles, the outline dimension of the biomass particles and the energy consumption parameters of a biomass granulator;
s102: judging whether the fault monitoring parameters meet preset fault judging conditions or not;
s103: when the fault monitoring parameters meet the preset fault judging conditions, determining the fault type, acquiring, outputting and storing the running state information of the preset period, and starting to judge the fault reason.
S104: collecting fault cause monitoring parameters of the biomass granulator; the fault monitoring parameters comprise the surface carbonization degree of biomass particles, the forming density of the biomass particles, the outline dimension of the biomass particles and the energy consumption parameters of a biomass granulator;
s105: judging whether the fault cause monitoring parameters meet preset fault cause judging conditions, determining the fault cause, acquiring, outputting and storing running state information of a preset period, and starting to judge the fault cause.
S106: the operation state information of the preset time period can be output to a remote server for storage through an industrial bus (such as an industrial Ethernet bus) by using a wireless network for further fault analysis and positioning.
S107: according to the technical scheme, the fault detection method for the biomass granulator disclosed by the embodiment of the application is characterized in that the fault monitoring parameters of the biomass granulator are collected, the collected current fault monitoring parameters are judged according to the preset fault judging conditions, when the fault monitoring parameters meet the preset fault conditions, the current fault type and cause are determined by collecting the fault cause monitoring parameters of the biomass granulator, and meanwhile, the running state information of a relevant period is obtained, output and stored, so that relevant equipment or technicians can accurately position the faults by analyzing the running state information, and further corresponding measures can be taken rapidly to remove the faults. Therefore, the embodiments of the present invention solve the problems of the prior art.
S108: in practical application, the possible trouble that biomass particle machine exists includes biomass particle surface carbonization, biomass particle's shaping is loose, biomass particle's overall dimension trouble and biomass particle energy ability abnormal increase trouble, all can detect through this application embodiment.
Fig. 2 is a flowchart of a fault detection method of a biomass granulator disclosed in a second embodiment of the present application.
As shown in fig. 2, the fault detection method of the biomass granulator disclosed in the second embodiment includes the following steps:
s201: periodically collecting the surface carbonization degree of biomass particles, wherein the collection method is periodic sampling, and the sampling period is preferably 500ms.
S202: the judgment conditions for carbonization of the surface of the biomass particles comprise: the measured value of the ring mode temperature is more than 10 percent (preset carbonization value) in a plurality of sampling periods of 1min continuously;
for example, according to the practical application, the acquisition period is set to be 500ms, and the preset continuous sampling period is set to be 100ms;
s203: when the fault monitoring parameters meet the preset fault judging conditions, determining the fault type, acquiring, outputting and storing the running state information of the preset period, and starting to judge the fault reason. The reasons for the faults include: the die hole of the ring die is blocked, the parameter setting of the press roller clearance is overlarge, the motor rotating speed is overlarge, and the parameter setting of the water content of the raw materials is overlarge;
the fault judging conditions of the blocking of the die holes of the ring die comprise: the measured value of the mode temperature is larger than 160 ℃ in the sampling periods of 30S continuously, and the measured value of the production rate is reduced to 2000kg/h in the sampling periods of 30S continuously;
The excessive fault judging conditions of the parameter setting of the press roll gap include: 1. the measured values of the internal die temperature are smaller than 160 ℃ in a plurality of 30S sampling periods, and the measured values of the internal pressure of the internal die hole are larger than 18000N (the maximum value of the internal pressure of the internal die hole of the preset annular die) in a plurality of 10S sampling periods, wherein Z is a positive integer; 2. the measured value of the internal die temperature is larger than 160 ℃ in a plurality of 30S sampling periods (preset temperature maximum value), the measured value of the production rate is reduced to 2000kg/h in a plurality of 30S sampling periods, and the measured value of the internal face positive pressure of the internal die hole is larger than 18000N (preset internal face positive pressure maximum value of the internal face of the internal die hole) in a plurality of 10S sampling periods;
the motor rotation speed setting excessive fault judging condition comprises: after the die hole blocking faults and the excessive faults of the press roll clearance parameter setting are removed, measuring values of the motor rotating speed in a plurality of continuous sampling periods of 10S are all larger than 220r/min (the maximum value of the motor setting rotating speed);
the fault judging conditions for the overlarge water content parameter setting of the raw materials comprise: the faults of blocking the die holes, overlarge parameter setting of the press roll gap and overlarge motor rotating speed setting are eliminated;
When the fault monitoring parameters meet the preset fault cause judging conditions, determining the current fault type, and acquiring, outputting and storing the running state information of the preset time period.
Fig. 3 is a flowchart of a fault detection method of a biomass granulator disclosed in the second embodiment of the present application.
As shown in fig. 3, the fault detection method of the biomass granulator disclosed in the second embodiment includes the following steps:
s301: the molding density of biomass particles is periodically collected, the collection method is periodic sampling, and the sampling period is preferably 250ms.
S302: the particle loosening judgment conditions include: the measured values of the ring mode temperature are all more than 10 percent (preset carbonization value) in continuous beta sampling periods;
for example, according to the practical application, the acquisition period is set to 250ms, and the preset continuous sampling period is set to 100ms;
s303: when the fault monitoring parameters meet the preset fault judging conditions, determining the fault type, acquiring, outputting and storing the running state information of the preset period, and starting to judge the fault reason. The reasons for the faults include: too low a fault is set on the rotating speed of the motor, the materials are insufficient or the auger is blocked, the transmission belt or the bearing is failed, too small a fault is set on the gap of the compression roller, and the die hole is excessively worn and failed;
The motor rotation speed setting too low fault judging condition comprises: the measured value of the production rate in the continuous sampling periods of 30S is reduced to 2000kg/h, and the measured value of the motor rotation speed in the continuous sampling periods of 10S is less than 220r/min (the maximum value of the motor set rotation speed);
the judging conditions of insufficient materials or auger blockage faults include: the measured value of the production rate in the sampling period of a plurality of 30S continuously drops to 2000kg/h, and the measured value of the motor rotating speed in the sampling period of a plurality of 10S continuously is larger than 220r/min (the maximum value of the motor set rotating speed), and meanwhile the material fails to drop correctly in the sampling period of a plurality of 5S continuously;
the drive belt or bearing failure determination conditions include: the measured value of the production rate is reduced to 2000kg/h in a plurality of continuous sampling periods of 30S, and the faults of too low motor rotation speed setting, insufficient materials or auger blockage are eliminated;
the conditions for judging the too small faults of the press roll gap comprise: the measured values of the production rate are higher than 2000kg/h in a plurality of 30S sampling periods, and the measured values of the internal positive pressure of the internal die holes are smaller than 6000N (the minimum value of the internal positive pressure of the preset internal die holes) in a plurality of 10S sampling periods;
The fault judging conditions of excessive wear failure of the die hole include: the measurement values of the production rate in the sampling periods of a plurality of 30S are higher than 2000kg/h, and the measurement values of the internal positive pressure of the internal die hole in the sampling periods of a plurality of 10S are higher than 6000N (the minimum value of the internal positive pressure of the preset internal die hole);
when the fault monitoring parameters meet the preset fault cause judging conditions, determining the current fault type, and acquiring, outputting and storing the running state information of the preset time period.
Fig. 4 is a flowchart of a fault detection method of a biomass granulator disclosed in the second embodiment of the present application.
As shown in fig. 4, the fault detection method of the biomass granulator disclosed in the second embodiment includes the following steps:
s401: the physical dimension of biomass particles is periodically collected, the collection method is periodic sampling, and the sampling period is preferably 1 second.
S402: the physical dimension judgment conditions of the biomass particles include: the measured values of the ring mode temperature are all more than 10 percent (preset carbonization value) in continuous beta sampling periods;
for example, according to the practical application, the acquisition period is set to 250ms, and the preset continuous sampling period is set to 1 second;
s403: when the fault monitoring parameters meet the preset fault judging conditions, determining the fault type, acquiring, outputting and storing the running state information of the preset period, and starting to judge the fault reason. The reasons for the faults include: the main motor is not matched with the rotating speed of the scraper motor and the scraper is worn;
The main motor and scraper motor rotating speed setting mismatch fault judging conditions comprise: the aspect ratio of the biological particles is not within the interval (4.5,5.5) in two consecutive sampling periods;
the doctor blade wear failure judgment conditions include: oblique or irregular cuts appear in the end face cuts of biological particles in two consecutive sampling periods;
when the fault monitoring parameters meet the preset fault cause judging conditions, determining the current fault type, and acquiring, outputting and storing the running state information of the preset time period.
Fig. 5 is a flowchart of a fault detection method of a biomass granulator disclosed in the second embodiment of the present application.
As shown in fig. 5, the fault detection method of the biomass granulator disclosed in the second embodiment includes the following steps:
s501: and periodically collecting energy consumption information of the biomass granulator, wherein the collecting method is periodic sampling, and the sampling period is preferably 1 second.
S502: the physical dimension judgment conditions of the biomass particles include: the measured value of the ring mode temperature is more than 10 percent (preset carbonization value) in a plurality of sampling periods of 10S continuously;
for example, according to the practical application, the acquisition period is set to 250ms, and the preset continuous sampling period is set to 100ms;
s503: when the fault monitoring parameters meet the preset fault judging conditions, determining the fault type, acquiring, outputting and storing the running state information of the preset period, and starting to judge the fault reason. The reasons for the faults include: failure of transmission device, blockage of die holes, excessively low extrusion speed setting, excessively large compression roller clearance setting and excessive impurity blockage;
The abnormal energy consumption increase judgment conditions of the biomass particles include: whether the total current of the bio-granulator exceeds 55A (machine current maximum standard) during a number of consecutive sampling periods of 10S;
the transmission damage fault judging conditions include: the density of biological particles is greater than 1.18g/cm in a plurality of sampling periods of 5S 3 (presetting a maximum standard of particle density), wherein the measured value of the motor rotation speed is larger than 220r/min (the maximum value of the motor set rotation speed) in a plurality of continuous sampling periods of 10S, and the section area of the biomass particles is not reduced;
the die hole blockage fault judging conditions comprise: the density of biological particles is greater than 1.18g/cm in a plurality of sampling periods of 5S 3 (presetting a maximum standard of particle density), wherein the measured value of the motor rotation speed in a plurality of continuous sampling periods of 10S is larger than 220r/min (the maximum value of the motor set rotation speed), and the section area of the biomass particles is reduced;
the extrusion speed setting too low failure judgment conditions include: the density of biological particles is greater than 1.18g/cm in a plurality of sampling periods of 5S 3 (preset maximum particle density standard), and the measured value of the motor rotation speed in a plurality of sampling periods of 10S is less than 220r/min (maximum motor set rotation speed);
The setting of the excessive fault judging condition for the press roll gap comprises the following steps: in a continuous multipleThe density of biological particles in each sampling period of 5S is less than 1.18g/cm 3 (preset maximum particle density standard) and the measured value of the internal positive pressure of the annular die hole is larger than 18000N (preset maximum internal positive pressure of the annular die hole) in a plurality of sampling periods of 10 seconds;
the excessive impurity blocking fault judgment conditions include: the density of the endoplasmic reticulum particles is less than 1.18g/cm in a plurality of sampling periods of 5S 3 (preset maximum particle density standard) and the measured value of the internal positive pressure of the annular die hole in a plurality of sampling periods of 10S is smaller than 18000N (preset maximum internal positive pressure of the annular die hole).
The present invention is not limited to the above-mentioned embodiments, and any person skilled in the art, based on the technical solution of the present invention and the inventive concept thereof, can be replaced or changed within the scope of the present invention.

Claims (3)

1. The fault diagnosis method of the biomass granulator is characterized by comprising the following steps of:
s1, collecting fault monitoring parameters of a biomass granulator, wherein the collected fault monitoring parameters comprise:
(1) The surface carbonization degree of the biomass particles is judged by the following conditions: the measured values of the ring mode temperature in the continuous alpha sampling periods are all larger than a preset carbonization value L;
judging faults including blockage faults of a die hole of a ring die, overlarge faults of parameter setting of a press roll gap, overlarge faults of motor rotating speed setting and overlarge faults of parameter setting of water content of raw materials based on preset fault reasons of carbonization degree of the surface of biomass particles;
wherein, the ring mould orifice jam fault judgement condition includes: the measured values of the ring mode temperature in the continuous X sampling periods are all larger than the preset temperature maximum value a, and the measured values of the production rate in the continuous Y sampling periods are all reduced to b, wherein X and Y are positive integers;
the excessive fault judging condition of the press roll gap parameter setting comprises the following steps:
1) The measured values of the temperature of the ring die in the continuous X sampling periods are smaller than the preset temperature maximum value a, and the measured values of the positive pressure in the inner face of the die hole of the ring die in the continuous Z sampling periods are larger than the preset positive pressure maximum value c in the inner face of the die hole of the ring die, wherein Z is a positive integer;
2) The measured values of the ring mold temperature in the continuous X sampling periods are all larger than a preset temperature maximum value a, the measured values of the production rate in the continuous Y sampling periods are all reduced to b, and the measured values of the positive pressure in the inner surface of the ring mold hole in the continuous Z sampling periods are all larger than a preset ring mold hole inner surface positive pressure maximum value c;
The motor rotation speed setting excessive fault judging condition comprises: after the fault of blocking the die hole and the excessive fault of the parameter setting of the press roll gap are removed, measuring values of the motor rotating speed in M continuous sampling periods are larger than the maximum value d of the motor rotating speed, wherein M is a positive integer;
the fault judging condition for setting the water content parameter of the raw material comprises the following steps: the faults of blocking the die holes, overlarge parameter setting of the press roll gap and overlarge motor rotating speed setting are eliminated;
(2) the molding density of the biomass particles is judged by the following conditions: the measured values of the ring mode temperature in the continuous beta sampling periods are all larger than a preset carbonization value j;
judging faults including too low a motor rotating speed setting fault, insufficient materials or auger blocking fault, transmission belt or bearing fault, too small a press roll gap setting fault and excessive wear failure fault of a die hole based on preset fault reasons of the molding density of biomass particles;
wherein, the motor rotation speed setting too low fault judgment condition includes: the measured value of the production rate is reduced to b in Y continuous sampling periods, and the measured value of the motor rotating speed in M continuous sampling periods is smaller than e;
the judging conditions of insufficient materials or auger blockage faults comprise: the measured value of the production rate in Y continuous sampling periods is reduced to b, the measured value of the motor rotation speed in M continuous sampling periods is larger than e, and meanwhile, the material fails to fall correctly in L continuous sampling periods, wherein L is a positive integer;
The transmission belt or bearing fault judging conditions comprise: the measured value of the production rate is reduced to b in Y continuous sampling periods, and the faults of too low motor rotation speed setting, insufficient materials or auger blockage are eliminated;
the setting of the too small fault judging condition of the press roll gap comprises the following steps: the measured value of the production rate is higher than b in two continuous Y sampling periods, and the measured value of the positive pressure in the inner surface of the annular die hole is smaller than the minimum value f of the positive pressure in the inner surface of the preset annular die hole in Z continuous sampling periods;
the fault judging conditions of the excessive wear failure of the die hole comprise: the measured values of the production rate in Y continuous sampling periods are higher than b, and the measured values of the positive pressure in the inner surface of the annular die hole in Z continuous sampling periods are higher than the minimum value f of the positive pressure in the inner surface of the preset annular die hole;
(3) the outline dimension of the biomass particles is judged by the following conditions: the main motor is not matched with the rotating speed of the scraper motor, and the scraper is worn;
wherein, main motor and scraper motor rotational speed set up mismatching trouble judgement condition include: the aspect ratio of the biological particles is not within the interval (H, I) in two consecutive sampling periods;
the scraper wear fault judging conditions comprise: oblique or irregular cuts appear in the end face cuts of biological particles in two consecutive sampling periods;
(4) The energy consumption parameters of the biomass granulator are judged as follows: whether the total current of the biomass granulator exceeds a maximum standard k in continuous gamma sampling periods;
judging the failure reasons preset based on the energy consumption parameters of the biomass granulator, wherein the failure reasons comprise transmission device damage failure, die hole blocking failure, extrusion speed setting too low failure, press roll gap setting too large failure and impurity too much blocking failure;
wherein the transmission damage fault determination conditions include: the density of the biomass particles is larger than the maximum standard g in N continuous sampling periods, meanwhile, the measured value of the motor rotation speed in M continuous sampling periods is larger than e, and the section area of the biomass particles is not reduced;
the die hole blockage fault judging conditions comprise: the density of biomass particles is larger than the maximum standard g in N continuous sampling periods, meanwhile, the measured value of the motor rotation speed in M continuous sampling periods is larger than e, and the section area of the biomass particles is smaller;
the extrusion speed setting too low fault judgment conditions include: the density of biological particles in the continuous N sampling periods is larger than the maximum standard g, and the measured value of the motor rotating speed in the continuous M sampling periods is smaller than e;
The excessive fault judging condition of the press roll gap comprises the following steps: the density of biological particles is smaller than the maximum standard g in N continuous sampling periods, and the measured value of the positive pressure in the inner face of the annular die hole in Z continuous sampling periods is larger than c;
the excessive impurity blocking fault judging condition comprises: the density of biological particles in N continuous sampling periods is less than the maximum standard g, and the measured value of the positive pressure in the inner surface of the annular die hole in Z continuous sampling periods is less than c;
s2, judging whether the collected fault monitoring parameters meet preset fault cause judgment conditions or not;
s3, when the fault monitoring parameters acquired in the S2 meet the preset fault cause judging conditions, determining the fault type according to the fault monitoring parameters, acquiring, outputting and storing running state information of a preset period, and starting to judge the fault cause;
s4, after determining the fault type, collecting fault cause monitoring parameters of the biomass granulator, wherein the fault cause monitoring parameters comprise ring die temperature, positive pressure in the inner surface of a ring die hole, main motor rotating speed, production energy consumption, production rate, biomass granule forming density, length-diameter ratio and section shape;
s5, judging whether the fault cause monitoring parameters acquired in S4 meet preset fault cause judging conditions, determining specific fault causes, and acquiring, outputting and storing running state information of a preset period.
2. The method for diagnosing faults of the biomass granulator according to claim 1, wherein the step of collecting the carbonization degree parameters of the biomass granules mentioned in the step S1 specifically comprises the following steps:
a1, measuring the carbonization degree of the surface of biomass particles by a carbonization depth sensor fixedly arranged in a blanking area of a biomass granulator body;
a2, when the biomass granulator body works, acquiring the surface carbonization degree of biomass particles in real time according to the carbonization depth sensor in A1;
the energy consumption parameter acquisition of the biomass particle energy mentioned in the step S1 specifically comprises the following steps:
b1, measuring the running current of the biomass granulator through an alternating current transformer arranged in an electrical cabinet;
and B2, when the biomass granulator body works, acquiring running current information of the biomass granulator in real time according to the alternating current transformer in the B1.
3. The method for diagnosing faults of the biomass granulator according to claim 1, wherein the collecting of the ring mold temperature parameter mentioned in the step S4 specifically comprises the following steps:
c1, acquiring the temperature of the inner wall of the annular die through an AT probe fixedly inlaid in a temperature sensor on the inner wall of the annular die;
c2, when the biomass granulator body works, the temperature information of the inner wall of the ring mould, which is obtained in real time by the temperature sensor in the C1, is obtained;
The step S4 of collecting positive pressure parameters in the inner surface of the annular die hole specifically comprises the following steps:
d1, collecting positive pressure e on the inner surface of the inner wall of the annular die hole through a pressure sensor fixedly arranged on the inner wall of the annular body between the annular die through holes;
d2, when the biomass granulator body works, according to the internal face positive pressure information of the inner wall of the annular die hole obtained in real time by the pressure sensor in the step D1;
the main motor rotating speed parameter collection mentioned in the step S4 specifically comprises the following steps:
e1, collecting the rotating speed of the motor through an encoder fixedly arranged in the motor;
e2, when the biomass granulator body works, acquiring motor rotation speed information in real time according to the encoder in E1;
the step S4 of collecting the length-diameter ratio parameters of the biomass particles specifically comprises the following steps:
f1, acquiring a biomass particle finished product picture through an industrial camera, and transmitting the picture to an industrial personal computer;
f2, recognizing and measuring the length r and the diameter s of biomass particles through an industrial personal computer;
f3, calculating the length-diameter ratio rho of the biomass particles, wherein the calculation formula is as follows:
Figure QLYQS_1
f4, when the biomass granulator body works, acquiring the length-diameter ratio of biomass particles in real time according to the measurement result of the industrial personal computer;
the biomass particle end face incision shape parameter collection mentioned in the step S4 specifically comprises the following steps:
The method comprises the steps of G1, collecting a biomass particle end face incision picture through an industrial camera, and transmitting the picture to an industrial personal computer;
g2, recognizing and measuring the shape of an end face incision of the biomass particles through an industrial personal computer;
and G3, when the biomass granulator body works, acquiring the flatness of the end face incision of the biomass particles in real time according to the identification result of the industrial personal computer.
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