CN116105939A - Grinder risk determination method and device, electronic equipment and storage medium - Google Patents
Grinder risk determination method and device, electronic equipment and storage medium Download PDFInfo
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- CN116105939A CN116105939A CN202310378262.0A CN202310378262A CN116105939A CN 116105939 A CN116105939 A CN 116105939A CN 202310378262 A CN202310378262 A CN 202310378262A CN 116105939 A CN116105939 A CN 116105939A
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- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000003860 storage Methods 0.000 title claims abstract description 9
- 238000009825 accumulation Methods 0.000 claims abstract description 148
- 239000000463 material Substances 0.000 claims abstract description 128
- 238000001514 detection method Methods 0.000 claims abstract description 107
- 230000035772 mutation Effects 0.000 claims abstract description 39
- 230000008859 change Effects 0.000 claims abstract description 23
- 238000009434 installation Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 238000002604 ultrasonography Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 239000003795 chemical substances by application Substances 0.000 description 2
- 238000007796 conventional method Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012502 risk assessment Methods 0.000 description 2
- 238000004513 sizing Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 239000011324 bead Substances 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 239000011344 liquid material Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000012856 packing Methods 0.000 description 1
- 239000003973 paint Substances 0.000 description 1
- 239000000049 pigment Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000011343 solid material Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
- G01M3/24—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using infrasonic, sonic, or ultrasonic vibrations
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The application relates to a grinder risk determination method, a grinder risk determination device, an electronic device and a storage medium, wherein the method comprises the following steps: installing a plurality of ultrasonic sensors on a U-shaped pipe of the grinder, and acquiring detection data of each ultrasonic sensor; determining a material accumulation score and determining a new accumulation score according to the detection data; judging whether a material accumulation condition exists according to the newly added accumulation score; if the material accumulation condition exists, determining an accumulation change score; determining whether a material newly-added accumulation condition exists according to the accumulation change score, and judging whether a material leakage condition exists according to the material newly-added accumulation condition; determining a leakage degree score for a U-shaped pipe with material leakage, determining a mutation leakage score according to the leakage degree score, and judging whether the mutation leakage condition exists according to the mutation leakage score; if the abrupt leakage condition exists, determining a leakage risk sub-index score of each ultrasonic sensor; and determining whether the grinder is at risk according to the leakage risk sub-index score and the detection data.
Description
Technical Field
The present application relates to the technical field of risk determination of grinding machines, and in particular, to a risk determination method, apparatus, electronic device, and storage medium for a grinding machine.
Background
The grinder is mainly suitable for manufacturing sizing agents such as paint, printing ink, pigment and the like, is used for fully mixing solid and liquid materials in the sizing agents, and is particularly suitable for grinding products with high dispersion viscosity and fine granularity requirements. In the working process of the grinder, the conditions of leakage, crushing and the like of grinding beads can occur, so that the grinding materials are polluted, waste is caused, and the machine must be stopped for maintenance, thereby influencing the production progress. In order to reduce or even avoid equipment damage, shutdown, material waste and other conditions, a grinder risk diagnosis method based on multiple sensors is provided, echo signals generated during working of a grinder are collected through an ultrasonic sensor for analysis and monitoring, and risk management and control are carried out in advance when the grinder is judged to have potential risks.
Disclosure of Invention
In view of the above, the present application provides a grinder risk determination method, apparatus, electronic device, and storage medium.
In a first aspect, an embodiment of the present application provides a risk determination method for a grinding mill, including:
an ultrasonic sensor is arranged from an inlet to an outlet of a U-shaped pipe of the grinder at intervals of a fixed distance, and detection data of each ultrasonic sensor are obtained every time the grinder works at intervals of a fixed time length;
determining a material accumulation score of the U-shaped pipe of the grinder according to the detection data of each ultrasonic sensor, and determining an additional accumulation score of the U-shaped pipe of the grinder according to the material accumulation score;
judging whether the U-shaped pipe of the grinder has material accumulation according to the newly added accumulation score; if the judgment result is that the grinding machine U-shaped pipe has material accumulation conditions, determining accumulation change scores of each ultrasonic sensor;
determining whether a material newly-added accumulation condition exists at each ultrasonic sensor position according to the accumulation change score of each ultrasonic sensor, and judging whether a material leakage condition exists in the U-shaped pipe of the grinder according to the material newly-added accumulation condition;
determining the leakage degree score of each detection on the grinding machine U-shaped pipe with the material leakage condition according to the detection data, determining the mutation leakage score of the grinding machine U-shaped pipe according to the leakage degree score of each detection, and judging whether the grinding machine U-shaped pipe has mutation leakage condition according to the mutation leakage score;
if the judgment result is that the U-shaped pipe of the grinder has abrupt leakage, determining the leakage risk sub-index score of each ultrasonic sensor according to the newly added accumulation condition of the materials and the detection data;
and determining whether the grinder is at risk according to the leakage risk sub-index score and the detection data.
Further, in the above-mentioned risk determination method for a grinder, a material accumulation score of the U-shaped tube for the grinder is determined based on the detection data, and a new accumulation score of the U-shaped tube for the grinder is determined based on the material accumulation score by the following formula:
wherein ,the material stacking score is indicated as a result,representing the sensed data of each ultrasonic sensor,indicating the distance of the object detected by the ultrasonic sensor from the ultrasonic sensor,indicating the echo energy of the object detected by the ultrasonic sensor, i indicating the serial number of the sensor, j indicating the serial number of the detection,the number of times of the detection is indicated,indicating that the distance is fixed and that,the number of ultrasonic sensors is indicated,a fixed duration of time is indicated,indicating the score of the pile-up bump,the newly added pile-up score is indicated,a set first judgment threshold value is indicated,a set second judgment threshold value is indicated,indicating a sudden increase index score.
Further, in the above-mentioned risk determining method for a grinder, if the determination result is that the grinder U-shaped tube has a material accumulation condition, the accumulation change score of each ultrasonic sensor is determined by the following formula:
wherein ,representing a pile-up variation score for each ultrasonic sensor,a stacking degree score is indicated and is used to determine,a third judgment threshold value is indicated to be set,a fourth judgment threshold value is indicated to be set,indicating the distance of the object detected by the ultrasonic sensor from the ultrasonic sensor, i indicating the serial number of the sensor, j indicating the serial number of the detection,indicating the number of detections.
Further, in the above-mentioned grinding mill risk determining method, determining whether a newly added accumulation condition of material exists at each ultrasonic sensor position according to the accumulation change score of each ultrasonic sensor includes:
when the pile-up variation score of the ultrasonic sensor satisfies the following condition for any one of the ultrasonic sensors i:
determining that the material newly-increased accumulation exists at the position of the ultrasonic sensor i, and judging the score of the newly-increased accumulationThe method comprises the steps of carrying out a first treatment on the surface of the Otherwise, the new accumulation judgment score is made;
wherein ,for the set sixth judgment threshold value,indicating the number of ultrasonic sensors, i indicating the serial number of the sensors,a pile-up variation score representing the ultrasonic sensor;
judging whether the U-shaped pipe of the grinder has material leakage according to the newly added accumulation condition of the materials, comprising the following steps:
if the judgment result isGreater than a set seventh judgment thresholdAnd judging that the U-shaped pipe part of the grinder has material leakage.
Further, in the above-mentioned risk determining method for a grinder, for a U-shaped tube of a grinder in which a material leakage condition exists, a leakage degree score at each detection is determined according to detection data, by the following formula:
the abrupt leak score of the mill U-tube was determined from the leak degree score at each test by the following formula:
wherein ,a leak level score is indicated,the mutation leak score is indicated as a function of,indicating the echo energy of the object detected by the ultrasonic sensor, i indicating the serial number of the sensor, j indicating the serial number of the detection,the number of times of the detection is indicated,the number of ultrasonic sensors is represented;
judging whether the U-shaped pipe of the grinder has the abrupt leakage condition according to the abrupt leakage score, comprising the following steps:
when mutation leakage scoresGreater than a set eighth judgment thresholdAnd when the U-shaped pipe of the grinder is in a sudden leakage condition, judging the U-shaped pipe of the grinder.
Further, in the above-mentioned grinding machine risk determination method, the leakage risk sub-index score of each ultrasonic sensor is determined according to the newly added accumulation condition of the material and the detection data by the following formula:
wherein ,a leakage risk sub-index score representing each ultrasonic sensor,a first risk sub-score is indicated,a set ninth judgment threshold value is indicated,a second risk sub-score is indicated,a set tenth judgment threshold value is indicated,the set eleventh judgment threshold value is indicated,a second risk assessment score is indicated,indicating the echo energy of the object detected by the ultrasonic sensor, i indicating the serial number of the sensor, j indicating the serial number of the detection,indicating the number of times of detection, and when there is a new accumulation of material at the ultrasonic sensor i position, determining a score of the new accumulationWhen no material newly increased accumulation exists at the position of the ultrasonic sensor i, the newly increased accumulation judgment score is obtained。
Further, the method comprises the steps of,in the above-mentioned grinding machine risk determining method, determining whether the grinding machine is at risk according to the leakage risk sub-index score and the detection data includes: determining an ultrasonic sensor leakage total risk score by the following formulaAnd leak upper bound score for ultrasonic sensor:
Total risk score for leakage when ultrasound sensor>Leakage upper bound score for ultrasonic sensor>Determining that the grinder is at risk;
wherein ,
a leakage risk sub-index score representing each ultrasonic sensor,a thirteenth judgment threshold value set is indicated,=0.0001,a twelfth judgment threshold value is set, i represents the serial number of the sensor,the number of ultrasonic sensors is indicated,the number of times of the detection is indicated,indicating the echo energy of the object detected by the ultrasonic sensor,representing the sensing leak sub-index score.
In a second aspect, embodiments of the present application further provide a risk determining apparatus for a grinding mill, including:
installation module and acquisition module: the ultrasonic sensor is arranged at intervals of a fixed distance from the inlet to the outlet of the U-shaped pipe of the grinder, and detection data of each ultrasonic sensor are obtained every time when the grinder works at intervals of a fixed time length;
a first determination module: the material accumulation score of the U-shaped pipe of the grinder is determined according to the detection data of each ultrasonic sensor, and the newly added accumulation score of the U-shaped pipe of the grinder is determined according to the material accumulation score;
a second determination module: the grinding machine U-shaped pipe stacking machine is used for judging whether the grinding machine U-shaped pipe has a material stacking condition according to the newly added stacking score; if the judgment result is that the grinding machine U-shaped pipe has material accumulation conditions, determining accumulation change scores of each ultrasonic sensor;
and a third determination module: the method comprises the steps of determining whether a material newly-added accumulation condition exists at each ultrasonic sensor position according to the accumulation change score of each ultrasonic sensor, and judging whether a material leakage condition exists in a U-shaped pipe of the grinder according to the material newly-added accumulation condition;
a fourth determination module: the method comprises the steps of determining the leakage degree score of a grinding machine U-shaped pipe with material leakage according to detection data, determining the mutation leakage score of the grinding machine U-shaped pipe according to the leakage degree score of each detection, and judging whether the grinding machine U-shaped pipe has mutation leakage according to the mutation leakage score;
a fifth determination module: if the judgment result is that the U-shaped pipe of the grinder has abrupt leakage, determining the leakage risk sub-index score of each ultrasonic sensor according to the newly added accumulation condition of the materials and the detection data;
a sixth determination module: for determining whether the grinder is at risk based on the leakage risk sub-indicator score and the detection data.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: a processor and a memory;
the processor is operable to perform any one of the mill risk determination methods described above by invoking a program or instructions stored in the memory.
In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing a program or instructions that cause a computer to perform any one of the grinding mill risk determining methods described above.
The embodiment of the application has the advantages that: according to the method, the ultrasonic sensors are arranged at intervals of fixed distances from the inlet to the outlet of the U-shaped pipe of the grinder, and detection data of each ultrasonic sensor are obtained every time when the grinder works at intervals of fixed time length; determining a material accumulation score of the U-shaped pipe of the grinder according to the detection data of each ultrasonic sensor, and determining an additional accumulation score of the U-shaped pipe of the grinder according to the material accumulation score; judging whether the U-shaped pipe of the grinder has material accumulation according to the newly added accumulation score; if the judgment result is that the grinding machine U-shaped pipe has material accumulation conditions, determining accumulation change scores of each ultrasonic sensor; determining whether a material newly-added accumulation condition exists at each ultrasonic sensor position according to the accumulation change score of each ultrasonic sensor, and judging whether a material leakage condition exists in the U-shaped pipe of the grinder according to the material newly-added accumulation condition; determining the leakage degree score of each detection on the grinding machine U-shaped pipe with the material leakage condition according to the detection data, determining the mutation leakage score of the grinding machine U-shaped pipe according to the leakage degree score of each detection, and judging whether the grinding machine U-shaped pipe has mutation leakage condition according to the mutation leakage score; if the judgment result is that the U-shaped pipe of the grinder has abrupt leakage, determining the leakage risk sub-index score of each ultrasonic sensor according to the newly added accumulation condition of the materials and the detection data; and determining whether the grinder is at risk according to the leakage risk sub-index score and the detection data. Whether grind the machine through this application and have the risk, if there is the machine risk of grinding, then carry out the management and control of risk in advance, promoted the production efficiency who grinds the machine.
Drawings
In order to more clearly illustrate the technical solutions of embodiments or conventional techniques of the present application, the drawings required for the descriptions of the embodiments or conventional techniques will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 is a schematic diagram of a risk determining method of a grinding machine according to an embodiment of the present application;
fig. 2 is a schematic diagram of a risk determining apparatus for a grinder according to an embodiment of the present application;
fig. 3 is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure.
Detailed Description
In order to make the above objects, features and advantages of the present application more comprehensible, embodiments accompanied with figures are described in detail below. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is, however, susceptible of embodiment in many other ways than those herein described and similar modifications can be made by those skilled in the art without departing from the spirit of the application, and therefore the application is not limited to the specific embodiments disclosed below.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Fig. 1 is a schematic diagram of a risk determining method of a grinding machine according to an embodiment of the present application.
In a first aspect, an embodiment of the present application provides a risk determining method for a grinding mill, in combination with fig. 1, including seven steps S101 to S107:
s101: and an ultrasonic sensor is arranged at intervals from the inlet to the outlet of the U-shaped pipe of the grinder, and detection data of each ultrasonic sensor are obtained every time the grinder works at intervals of a fixed time length.
Specifically, in the embodiment of the present application, a fixed distance is provided from the inlet to the outlet of the U-shaped tubeAn ultrasonic sensor is arranged, and the ultrasonic sensors are marked as follows in turn, wherein For the number of ultrasonic sensors, the grinding machine works at fixed time intervalsAcquiring detection data of each ultrasonic sensor, wherein For the ultrasonic sensor to detect the distance of the object from the ultrasonic sensor,for the ultrasonic sensor to detect the echo energy of the object, i is the serial number of the sensor, j is the serial number of the detection, and the detection times are。
S102: and determining a material accumulation score of the U-shaped pipe of the grinder according to the detection data of each ultrasonic sensor, and determining an additional accumulation score of the U-shaped pipe of the grinder according to the material accumulation score.
Specifically, in the embodiment of the present application, the detection data of each ultrasonic sensor is usedDetermination of the Material packing score of a grinder U-tubeAccording to the material accumulation scoreDetermining an additional pile-up score for a U-tube of a grinding millThe method of (2) is described in detail below.
S103: judging whether the U-shaped pipe of the grinder has material accumulation according to the newly added accumulation score; and if the judgment result shows that the U-shaped pipe of the grinder has material accumulation, determining the accumulation change score of each ultrasonic sensor.
Specifically, in the embodiment of the present application, the stacking score is increased according to the new additionJudging whether the U-shaped pipe of the grinder has material accumulation conditions or not by judging the newly increased accumulation scoreAnd a fifth judgment threshold value setWhen the size of the pile is determined, the pile score is increasedGreater than a set fifth judgment thresholdWhen the U-shaped pipe of the grinder has material accumulation condition, determining the accumulation change score of each ultrasonic sensorThe method of (2) is described in detail below.
S104: and determining whether a material newly-increased accumulation condition exists at each ultrasonic sensor position according to the accumulation change score of each ultrasonic sensor, and judging whether the U-shaped pipe of the grinder has a material leakage condition according to the material newly-increased accumulation condition.
Specifically, in the embodiment of the present application, the stacking variation score according to each ultrasonic sensorThe method for determining whether the material leakage condition exists in the U-shaped pipe of the grinder according to the material newly-added accumulation condition is described in detail below.
S105: and determining the leakage degree score of each detection on the grinding machine U-shaped pipe with the material leakage condition according to the detection data, determining the mutation leakage score of the grinding machine U-shaped pipe according to the leakage degree score of each detection, and judging whether the grinding machine U-shaped pipe has mutation leakage condition according to the mutation leakage score.
Specifically, in the embodiment of the present application, for a U-shaped pipe of a grinder in which a material leakage condition exists, a leakage degree score for each detection is determined according to detection data, a mutation leakage score of the U-shaped pipe of the grinder is determined according to the leakage degree score for each detection, and a method for determining whether the U-shaped pipe of the grinder has a mutation leakage condition according to the mutation leakage score is described in detail below.
S106: if the judgment result shows that the U-shaped pipe of the grinder has abrupt leakage, determining the leakage risk sub-index score of each ultrasonic sensor according to the newly added accumulation condition of the materials and the detection data.
Specifically, in the embodiment of the application, the leakage risk sub-index score of each ultrasonic sensor is determined according to the newly added accumulation condition of the materials and the detection dataThe method of (2) is described in detail below.
S107: and determining whether the grinder is at risk according to the leakage risk sub-index score and the detection data.
Specifically, in the embodiment of the present application, the score is calculated according to the leakage risk sub-indexAnd a method of detecting data to determine whether the grinder is at risk is described in detail below.
Further, in the above-mentioned risk determination method for a grinder, a material accumulation score of the U-shaped tube for the grinder is determined based on the detection data, and a new accumulation score of the U-shaped tube for the grinder is determined based on the material accumulation score by the following formula:
wherein ,the material stacking score is indicated as a result,representing the sensed data of each ultrasonic sensor,indicating the distance of the object detected by the ultrasonic sensor from the ultrasonic sensor,indicating the echo energy of the object detected by the ultrasonic sensor, i indicating the serial number of the sensor, j indicating the serial number of the detection,the number of times of the detection is indicated,indicating that the distance is fixed and that,the number of ultrasonic sensors is indicated,a fixed duration of time is indicated,indicating the score of the pile-up bump,the newly added pile-up score is indicated,a set first judgment threshold value is indicated,a set second judgment threshold value is indicated,indicating a sudden increase index score.
Specifically, in the embodiment of the present application, the set first judgment threshold valueAnd a second judgment threshold value setThe size of the (C) is flexibly set according to actual conditions.
Further, in the above-mentioned risk determining method for a grinder, if the determination result is that the grinder U-shaped tube has a material accumulation condition, the accumulation change score of each ultrasonic sensor is determined by the following formula:
wherein ,representing a pile-up variation score for each ultrasonic sensor,a stacking degree score is indicated and is used to determine,a third judgment threshold value is indicated to be set,a fourth judgment threshold value is indicated to be set,indicating the distance of the object detected by the ultrasonic sensor from the ultrasonic sensor, i indicating the serial number of the sensor, j indicating the serial number of the detection,indicating the number of detections.
Specifically, in the embodiment of the present application, the third determination threshold is setAnd a fourth judgment threshold value setAccording to the actual situationAnd (5) setting.
Further, in the above-mentioned grinding mill risk determining method, determining whether a newly added accumulation condition of material exists at each ultrasonic sensor position according to the accumulation change score of each ultrasonic sensor includes:
when the pile-up variation score of the ultrasonic sensor satisfies the following condition for any one of the ultrasonic sensors i:
determining that the material newly-increased accumulation exists at the position of the ultrasonic sensor i, and judging the score of the newly-increased accumulationThe method comprises the steps of carrying out a first treatment on the surface of the Otherwise, the new accumulation judgment score is made;
wherein ,for the set sixth judgment threshold value,indicating the number of ultrasonic sensors, i indicating the serial number of the sensors,a pile-up variation score representing the ultrasonic sensor;
judging whether the U-shaped pipe of the grinder has material leakage according to the newly added accumulation condition of the materials, comprising the following steps:
if the judgment result isGreater than a set seventh judgment thresholdAnd judging that the U-shaped pipe part of the grinder has material leakage.
Specifically, in the embodiment of the present application, the sixth judgment threshold is setAnd a seventh judgment threshold value setThe size of the (C) is flexibly set according to actual conditions.
Further, in the above-mentioned risk determining method for a grinder, for a U-shaped tube of a grinder in which a material leakage condition exists, a leakage degree score at each detection is determined according to detection data, by the following formula:
the abrupt leak score of the mill U-tube was determined from the leak degree score at each test by the following formula:
wherein ,a leak level score is indicated,the mutation leak score is indicated as a function of,indicating the echo energy of the object detected by the ultrasonic sensor, i indicating the serial number of the sensor, j indicating the serial number of the detection,the number of times of the detection is indicated,the number of ultrasonic sensors is represented;
judging whether the U-shaped pipe of the grinder has the abrupt leakage condition according to the abrupt leakage score, comprising the following steps:
when mutation leakage scoresGreater than a set eighth judgment thresholdAnd when the U-shaped pipe of the grinder is in a sudden leakage condition, judging the U-shaped pipe of the grinder.
Specifically, in the embodiment of the present application, the set eighth judgment threshold valueThe size of the (C) is flexibly set according to actual conditions.
Further, in the above-mentioned grinding machine risk determination method, the leakage risk sub-index score of each ultrasonic sensor is determined according to the newly added accumulation condition of the material and the detection data by the following formula:
wherein ,a leakage risk sub-index score representing each ultrasonic sensor,a first risk sub-score is indicated,a set ninth judgment threshold value is indicated,a second risk sub-score is indicated,a set tenth judgment threshold value is indicated,the set eleventh judgment threshold value is indicated,a second risk assessment score is indicated,indicating the echo energy of the object detected by the ultrasonic sensor, i indicating the serial number of the sensor, j indicating the serial number of the detection,indicating the number of times of detection, and when there is a new accumulation of material at the ultrasonic sensor i position, determining a score of the new accumulationWhen no material newly increased accumulation exists at the position of the ultrasonic sensor i, the newly increased accumulation judgment score is obtained。
Specifically, in the embodiment of the present application, the set ninth judgment threshold valueA tenth judgment threshold value is setAnd a set eleventh judgment threshold valueThe size of the (C) is flexibly set according to actual conditions.
Further, in the above-mentioned risk determination method for a grinder, determining whether the grinder is at risk according to the leakage risk sub-index score and the detection data includes: determining an ultrasonic sensor leakage total risk score by the following formulaAnd leak upper bound score for ultrasonic sensor:
Total risk score for leakage when ultrasound sensor>Leakage upper bound score for ultrasonic sensor>Determining that the grinder is at risk;
wherein ,
a leakage risk sub-index score representing each ultrasonic sensor,a thirteenth judgment threshold value set is indicated,=0.0001,a twelfth judgment threshold value is set, i represents the serial number of the sensor,the number of ultrasonic sensors is indicated,the number of times of the detection is indicated,indicating the echo energy of the object detected by the ultrasonic sensor,representing the sensing leak sub-index score.
Specifically, in the embodiment of the present application, the twelfth judgment threshold value is setAnd a thirteenth judgment threshold value setThe size of the (C) is flexibly set according to actual conditions.
Fig. 2 is a schematic diagram of a risk determining apparatus for a grinder according to an embodiment of the present application.
In a second aspect, embodiments of the present application further provide a risk determining apparatus for a grinding mill, in combination with fig. 2, including:
the first determination module 203: the material accumulation score of the U-shaped pipe of the grinder is determined according to the detection data of each ultrasonic sensor, and the newly added accumulation score of the U-shaped pipe of the grinder is determined according to the material accumulation score;
the second determination module 204: the grinding machine U-shaped pipe stacking machine is used for judging whether the grinding machine U-shaped pipe has a material stacking condition according to the newly added stacking score; if the judgment result is that the grinding machine U-shaped pipe has material accumulation conditions, determining accumulation change scores of each ultrasonic sensor;
the third determination module 205: the method comprises the steps of determining whether a material newly-added accumulation condition exists at each ultrasonic sensor position according to the accumulation change score of each ultrasonic sensor, and judging whether a material leakage condition exists in a U-shaped pipe of the grinder according to the material newly-added accumulation condition;
a fourth determination module 206: the method comprises the steps of determining the leakage degree score of a grinding machine U-shaped pipe with material leakage according to detection data, determining the mutation leakage score of the grinding machine U-shaped pipe according to the leakage degree score of each detection, and judging whether the grinding machine U-shaped pipe has mutation leakage according to the mutation leakage score;
a fifth determination module 207: if the judgment result is that the U-shaped pipe of the grinder has abrupt leakage, determining the leakage risk sub-index score of each ultrasonic sensor according to the newly added accumulation condition of the materials and the detection data;
a sixth determination module 208: for determining whether the grinder is at risk based on the leakage risk sub-indicator score and the detection data.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: a processor and a memory;
the processor is operable to perform any one of the mill risk determination methods described above by invoking a program or instructions stored in the memory.
In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing a program or instructions that cause a computer to perform any one of the grinding mill risk determining methods described above.
Fig. 3 is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure.
As shown in fig. 3, the electronic device includes: at least one processor 301, at least one memory 302, and at least one communication interface 303. The various components in the electronic device are coupled together by a bus system 304. A communication interface 303 for information transfer with an external device. It is understood that bus system 304 is used to enable connected communications between these components. The bus system 304 includes a power bus, a control bus, and a status signal bus in addition to the data bus. The various buses are labeled in fig. 3 as bus system 304 for clarity of illustration.
It is to be understood that the memory 302 in this embodiment may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory.
In some implementations, the memory 302 stores the following elements, executable units or data structures, or a subset thereof, or an extended set thereof: an operating system and application programs.
The operating system includes various system programs, such as a framework layer, a core library layer, a driving layer, and the like, and is used for realizing various basic services and processing hardware-based tasks. Applications, including various applications such as Media Player (Media Player), browser (Browser), etc., are used to implement various application services. A program for implementing any one of the grinding mill risk determining methods provided in the embodiments of the present application may be included in the application program.
In the embodiment of the present application, the processor 301 is configured to execute the steps of each embodiment of the grinder risk determining method provided in the embodiment of the present application by calling a program or an instruction stored in the memory 302, specifically, a program or an instruction stored in an application program.
An ultrasonic sensor is arranged from an inlet to an outlet of a U-shaped pipe of the grinder at intervals of a fixed distance, and detection data of each ultrasonic sensor are obtained every time the grinder works at intervals of a fixed time length;
determining a material accumulation score of the U-shaped pipe of the grinder according to the detection data of each ultrasonic sensor, and determining an additional accumulation score of the U-shaped pipe of the grinder according to the material accumulation score;
judging whether the U-shaped pipe of the grinder has material accumulation according to the newly added accumulation score; if the judgment result is that the grinding machine U-shaped pipe has material accumulation conditions, determining accumulation change scores of each ultrasonic sensor;
determining whether a material newly-added accumulation condition exists at each ultrasonic sensor position according to the accumulation change score of each ultrasonic sensor, and judging whether a material leakage condition exists in the U-shaped pipe of the grinder according to the material newly-added accumulation condition;
determining the leakage degree score of each detection on the grinding machine U-shaped pipe with the material leakage condition according to the detection data, determining the mutation leakage score of the grinding machine U-shaped pipe according to the leakage degree score of each detection, and judging whether the grinding machine U-shaped pipe has mutation leakage condition according to the mutation leakage score;
if the judgment result is that the U-shaped pipe of the grinder has abrupt leakage, determining the leakage risk sub-index score of each ultrasonic sensor according to the newly added accumulation condition of the materials and the detection data;
and determining whether the grinder is at risk according to the leakage risk sub-index score and the detection data.
Any one of the grinder risk determining methods provided in the embodiments of the present application may be applied to the processor 301 or implemented by the processor 301. The processor 301 may be an integrated circuit chip with signal capabilities. In implementation, the steps of the above method may be performed by integrated logic circuitry of hardware in the processor 301 or instructions in the form of software. The processor 301 may be a general purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), an off-the-shelf programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The steps of any one of the grinding machine risk determining methods provided in the embodiments of the present application may be directly embodied in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software units in the decoding processor. The software elements may be located in a random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory 302 and the processor 301 reads the information in the memory 302 and in combination with its hardware performs the steps of a grinder risk determination method.
Those skilled in the art will appreciate that while some embodiments described herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the present application and form different embodiments.
Those skilled in the art will appreciate that the descriptions of the various embodiments are each focused on, and that portions of one embodiment that are not described in detail may be referred to as related descriptions of other embodiments.
The present invention is not limited to the above embodiments, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the present invention, and these modifications and substitutions are intended to be included in the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (10)
1. A method of risk determination for a grinding mill, comprising:
an ultrasonic sensor is arranged from an inlet to an outlet of a U-shaped pipe of the grinder at intervals of a fixed distance, and detection data of each ultrasonic sensor are obtained every time the grinder works at intervals of a fixed time length;
determining a material accumulation score of the U-shaped pipe of the grinder according to the detection data of each ultrasonic sensor, and determining an newly added accumulation score of the U-shaped pipe of the grinder according to the material accumulation score;
judging whether the U-shaped pipe of the grinder has material accumulation according to the newly added accumulation score; if the judgment result is that the grinding machine U-shaped pipe has material accumulation conditions, determining accumulation change scores of each ultrasonic sensor;
determining whether a material newly-added accumulation condition exists at the position of each ultrasonic sensor according to the accumulation change score of each ultrasonic sensor, and judging whether a material leakage condition exists in the U-shaped pipe of the grinder according to the material newly-added accumulation condition;
determining the leakage degree score of each detection on the grinding machine U-shaped pipe with the material leakage condition according to the detection data, determining the mutation leakage score of the grinding machine U-shaped pipe according to the leakage degree score of each detection, and judging whether the grinding machine U-shaped pipe has mutation leakage condition according to the mutation leakage score;
if the judgment result is that the U-shaped pipe of the grinder has abrupt leakage, determining the leakage risk sub-index score of each ultrasonic sensor according to the newly added accumulation condition of the materials and the detection data;
and determining whether the grinder is at risk according to the leakage risk sub-index score and the detection data.
2. A mill risk determining method according to claim 1, wherein the determining of the material accumulation score of the mill U-shaped tube from the detection data, and the determining of the newly added accumulation score of the mill U-shaped tube from the material accumulation score is determined by the following formula:
wherein ,indicating a material pile-up score,/->Detection data representing each ultrasonic sensor, +.>Indicating the distance of the object detected by the ultrasonic sensor from the ultrasonic sensor,/->Indicating the echo energy of the object detected by the ultrasonic sensor, i indicating the serial number of the sensor, j indicating the serial number of the detection,/->Indicates the number of times of detection, +.>Indicating a fixed distance>Indicates the number of ultrasonic sensors, +.>Indicates a fixed duration,/->Indicating a stacking snap score,/->Representing a new added pile score,/->Represents a first decision threshold value set, +.>Representing a second decision threshold value set, +.>Indicating a sudden increase index score.
3. The risk determining method for a grinder according to claim 1, wherein if the determination result is that there is a material accumulation condition of the U-shaped tube of the grinder, the accumulation variation score of each ultrasonic sensor is determined by the following formula:
wherein ,a pile-up variation score representing each ultrasonic sensor, < >>Indicating a stacking degree score, < >>Represents a third decision threshold value set, +.>Represents a fourth decision threshold value set, +.>Indicating the distance of the object detected by the ultrasonic sensor from the ultrasonic sensor, i indicating the serial number of the sensor, j indicating the serial number of the detection,/->Indicating the number of detections.
4. The method of claim 1, wherein determining whether a new accumulation of material exists at each ultrasonic sensor location based on the accumulation variation score of each ultrasonic sensor comprises:
when the pile-up variation score of the ultrasonic sensor satisfies the following condition for any one of the ultrasonic sensors i:
determining that the material newly-increased accumulation exists at the position of the ultrasonic sensor i, and judging the score of the newly-increased accumulationThe method comprises the steps of carrying out a first treatment on the surface of the Otherwise, let the new accumulation judgment score +.>;
wherein ,for a set sixth judgment threshold, +.>Indicating the number of ultrasonic sensors, i indicating the serial number of the sensor, < ->A pile-up variation score representing the ultrasonic sensor;
judging whether the U-shaped pipe of the grinder has material leakage according to the newly added accumulation condition of the materials, comprising the following steps:
5. The risk determining method as claimed in claim 1, wherein the determining of the leakage degree score for each detection of the U-shaped tube of the grinder in which the leakage of the material occurs according to the detection data is performed by the following formula:
the abrupt leak score of the mill U-tube was determined from the leak degree score at each test by the following formula:
wherein ,indicating a leakage degree score,/->Indicating a mutation leak score,/->Indicating the echo energy of the object detected by the ultrasonic sensor, i indicating the serial number of the sensor, j indicating the serial number of the detection,/->Indicates the number of times of detection, +.>The number of ultrasonic sensors is represented;
judging whether the U-shaped pipe of the grinder has the abrupt leakage condition according to the abrupt leakage score, comprising the following steps:
6. The mill risk determination method according to claim 1, wherein the determining the leakage risk sub-index score of each ultrasonic sensor based on the material newly added accumulation condition and the detection data is determined by the following formula:
wherein ,a leakage risk sub-indicator score representing each ultrasonic sensor,/->A first risk sub-score is indicated,represents a set ninth judgment threshold value, +.>Representing a second risk sub-score,>a set tenth judgment threshold value is indicated,represents a set eleventh judgment threshold value, +.>Representing a second risk judgment score,/->Indicating the echo energy of the object detected by the ultrasonic sensor, i indicating the serial number of the sensor, j indicating the serial number of the detection,/->Indicating the number of times of detection, and when there is a new accumulation of material at the ultrasonic sensor i position, a new accumulation judgment score +.>When there is no additional accumulation of material at the ultrasonic sensor i position, an additional accumulation judgment score +.>。
7. A mill risk determination method according to claim 1, wherein said determining whether a mill is at risk based on said leakage risk sub-indicator score and detection data comprises: determining an ultrasonic sensor leakage total risk score by the following formulaAnd an upper bound score for leakage of ultrasonic sensor +.>:
Total risk score for leakage when ultrasound sensor>/>Leakage upper bound score of ultrasonic sensor>>/>Determining that the grinder is at risk;
wherein ,
a leakage risk sub-indicator score representing each ultrasonic sensor,/->Represents a thirteenth judgment threshold value of the setting, +.>=0.0001,/>Indicating the twelfth judgment threshold value set, i indicating the serial number of the sensor,/and->The number of ultrasonic sensors is indicated,indicates the number of times of detection, +.>Indicating the echo energy of the object detected by the ultrasonic sensor, is->Representing the sensing leak sub-index score.
8. A risk determination apparatus for a grinding mill, comprising:
installation module and acquisition module: the ultrasonic sensor is arranged at intervals of a fixed distance from the inlet to the outlet of the U-shaped pipe of the grinder, and detection data of each ultrasonic sensor are obtained every time when the grinder works at intervals of a fixed time length;
a first determination module: the device comprises a plurality of ultrasonic sensors, a grinding machine U-shaped pipe, a material accumulation score and a new accumulation score, wherein the ultrasonic sensors are used for detecting the material accumulation score of the grinding machine U-shaped pipe according to the ultrasonic sensors;
a second determination module: judging whether the U-shaped pipe of the grinder has material accumulation according to the newly added accumulation score; if the judgment result is that the grinding machine U-shaped pipe has material accumulation conditions, determining accumulation change scores of each ultrasonic sensor;
and a third determination module: the method comprises the steps of determining whether a material newly-added accumulation condition exists at each ultrasonic sensor position according to the accumulation change score of each ultrasonic sensor, and judging whether a material leakage condition exists in a U-shaped pipe of the grinder according to the material newly-added accumulation condition;
a fourth determination module: the detection method comprises the steps of determining the leakage degree score of a grinding machine U-shaped pipe with material leakage according to detection data, determining the mutation leakage score of the grinding machine U-shaped pipe according to the leakage degree score of each detection, and judging whether the grinding machine U-shaped pipe has mutation leakage according to the mutation leakage score;
a fifth determination module: if the judgment result is that the U-shaped pipe of the grinder has abrupt leakage, determining the leakage risk sub-index score of each ultrasonic sensor according to the newly added accumulation condition of the materials and the detection data;
a sixth determination module: and the grinder is used for determining whether the grinder is at risk according to the leakage risk sub-index score and the detection data.
9. An electronic device, comprising: a processor and a memory;
the processor is adapted to perform a mill risk determination method according to any one of claims 1 to 7 by invoking a program or instructions stored in the memory.
10. A computer-readable storage medium storing a program or instructions that cause a computer to perform a mill risk determination method according to any one of claims 1 to 7.
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