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 PDF

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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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score
leakage
accumulation
ultrasonic sensor
grinder
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CN116105939B (en
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梁帆
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Dongguan Prophet Big Data Co ltd
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Dongguan Prophet Big Data Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M3/00Investigating fluid-tightness of structures
    • G01M3/02Investigating fluid-tightness of structures by using fluid or vacuum
    • G01M3/04Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
    • G01M3/24Investigating 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
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • 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
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing 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

Grinder risk determination method and device, electronic equipment and storage medium
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:
Figure SMS_1
Figure SMS_2
Figure SMS_3
Figure SMS_4
wherein ,
Figure SMS_6
the material stacking score is indicated as a result,
Figure SMS_12
representing the sensed data of each ultrasonic sensor,
Figure SMS_15
indicating the distance of the object detected by the ultrasonic sensor from the ultrasonic sensor,
Figure SMS_8
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,
Figure SMS_9
the number of times of the detection is indicated,
Figure SMS_13
indicating that the distance is fixed and that,
Figure SMS_16
the number of ultrasonic sensors is indicated,
Figure SMS_5
a fixed duration of time is indicated,
Figure SMS_10
indicating the score of the pile-up bump,
Figure SMS_14
the newly added pile-up score is indicated,
Figure SMS_17
a set first judgment threshold value is indicated,
Figure SMS_7
a set second judgment threshold value is indicated,
Figure SMS_11
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:
Figure SMS_18
Figure SMS_19
wherein ,
Figure SMS_20
representing a pile-up variation score for each ultrasonic sensor,
Figure SMS_21
a stacking degree score is indicated and is used to determine,
Figure SMS_22
a third judgment threshold value is indicated to be set,
Figure SMS_23
a fourth judgment threshold value is indicated to be set,
Figure SMS_24
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,
Figure SMS_25
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:
Figure SMS_26
determining that the material newly-increased accumulation exists at the position of the ultrasonic sensor i, and judging the score of the newly-increased accumulation
Figure SMS_27
The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, the new accumulation judgment score is made
Figure SMS_28
wherein ,
Figure SMS_29
for the set sixth judgment threshold value,
Figure SMS_30
indicating the number of ultrasonic sensors, i indicating the serial number of the sensors,
Figure SMS_31
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:
judging
Figure SMS_32
And a seventh judgment threshold value set
Figure SMS_33
Is of a size of (2);
if the judgment result is
Figure SMS_34
Greater than a set seventh judgment threshold
Figure SMS_35
And 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:
Figure SMS_36
the abrupt leak score of the mill U-tube was determined from the leak degree score at each test by the following formula:
Figure SMS_37
wherein ,
Figure SMS_38
a leak level score is indicated,
Figure SMS_39
the mutation leak score is indicated as a function of,
Figure SMS_40
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,
Figure SMS_41
the number of times of the detection is indicated,
Figure SMS_42
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:
judging the mutation leakage score
Figure SMS_43
And a set eighth judgment threshold value
Figure SMS_44
Is of a size of (2);
when mutation leakage scores
Figure SMS_45
Greater than a set eighth judgment threshold
Figure SMS_46
And 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:
Figure SMS_47
Figure SMS_48
Figure SMS_49
Figure SMS_50
wherein ,
Figure SMS_52
a leakage risk sub-index score representing each ultrasonic sensor,
Figure SMS_56
a first risk sub-score is indicated,
Figure SMS_59
a set ninth judgment threshold value is indicated,
Figure SMS_53
a second risk sub-score is indicated,
Figure SMS_54
a set tenth judgment threshold value is indicated,
Figure SMS_57
the set eleventh judgment threshold value is indicated,
Figure SMS_60
a second risk assessment score is indicated,
Figure SMS_51
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,
Figure SMS_55
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 accumulation
Figure SMS_58
When no material newly increased accumulation exists at the position of the ultrasonic sensor i, the newly increased accumulation judgment score is obtained
Figure SMS_61
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 formula
Figure SMS_62
And leak upper bound score for ultrasonic sensor
Figure SMS_63
Figure SMS_64
Figure SMS_65
Total risk score for leakage when ultrasound sensor
Figure SMS_66
>
Figure SMS_67
Leakage upper bound score for ultrasonic sensor
Figure SMS_68
>
Figure SMS_69
Determining that the grinder is at risk;
wherein ,
Figure SMS_70
Figure SMS_72
a leakage risk sub-index score representing each ultrasonic sensor,
Figure SMS_75
a thirteenth judgment threshold value set is indicated,
Figure SMS_77
=0.0001,
Figure SMS_73
a twelfth judgment threshold value is set, i represents the serial number of the sensor,
Figure SMS_74
the number of ultrasonic sensors is indicated,
Figure SMS_76
the number of times of the detection is indicated,
Figure SMS_78
indicating the echo energy of the object detected by the ultrasonic sensor,
Figure SMS_71
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 tube
Figure SMS_81
An ultrasonic sensor is arranged, and the ultrasonic sensors are marked as follows in turn
Figure SMS_83
, wherein
Figure SMS_85
For the number of ultrasonic sensors, the grinding machine works at fixed time intervals
Figure SMS_79
Acquiring detection data of each ultrasonic sensor
Figure SMS_82
, wherein
Figure SMS_84
For the ultrasonic sensor to detect the distance of the object from the ultrasonic sensor,
Figure SMS_86
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
Figure SMS_80
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 used
Figure SMS_87
Determination of the Material packing score of a grinder U-tube
Figure SMS_88
According to the material accumulation score
Figure SMS_89
Determining an additional pile-up score for a U-tube of a grinding mill
Figure SMS_90
The 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 addition
Figure SMS_91
Judging whether the U-shaped pipe of the grinder has material accumulation conditions or not by judging the newly increased accumulation score
Figure SMS_92
And a fifth judgment threshold value set
Figure SMS_93
When the size of the pile is determined, the pile score is increased
Figure SMS_94
Greater than a set fifth judgment threshold
Figure SMS_95
When the U-shaped pipe of the grinder has material accumulation condition, determining the accumulation change score of each ultrasonic sensor
Figure SMS_96
The 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 sensor
Figure SMS_97
The 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 data
Figure SMS_98
The 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-index
Figure SMS_99
And 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:
Figure SMS_100
Figure SMS_101
Figure SMS_102
Figure SMS_103
wherein ,
Figure SMS_106
the material stacking score is indicated as a result,
Figure SMS_110
representing the sensed data of each ultrasonic sensor,
Figure SMS_113
indicating the distance of the object detected by the ultrasonic sensor from the ultrasonic sensor,
Figure SMS_107
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,
Figure SMS_108
the number of times of the detection is indicated,
Figure SMS_112
indicating that the distance is fixed and that,
Figure SMS_115
the number of ultrasonic sensors is indicated,
Figure SMS_104
a fixed duration of time is indicated,
Figure SMS_111
indicating the score of the pile-up bump,
Figure SMS_114
the newly added pile-up score is indicated,
Figure SMS_116
a set first judgment threshold value is indicated,
Figure SMS_105
a set second judgment threshold value is indicated,
Figure SMS_109
indicating a sudden increase index score.
Specifically, in the embodiment of the present application, the set first judgment threshold value
Figure SMS_117
And a second judgment threshold value set
Figure SMS_118
The 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:
Figure SMS_119
Figure SMS_120
wherein ,
Figure SMS_121
representing a pile-up variation score for each ultrasonic sensor,
Figure SMS_122
a stacking degree score is indicated and is used to determine,
Figure SMS_123
a third judgment threshold value is indicated to be set,
Figure SMS_124
a fourth judgment threshold value is indicated to be set,
Figure SMS_125
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,
Figure SMS_126
indicating the number of detections.
Specifically, in the embodiment of the present application, the third determination threshold is set
Figure SMS_127
And a fourth judgment threshold value set
Figure SMS_128
According 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:
Figure SMS_129
determining that the material newly-increased accumulation exists at the position of the ultrasonic sensor i, and judging the score of the newly-increased accumulation
Figure SMS_130
The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, the new accumulation judgment score is made
Figure SMS_131
wherein ,
Figure SMS_132
for the set sixth judgment threshold value,
Figure SMS_133
indicating the number of ultrasonic sensors, i indicating the serial number of the sensors,
Figure SMS_134
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:
judging
Figure SMS_135
And a seventh judgment threshold value set
Figure SMS_136
Is of a size of (2);
if the judgment result is
Figure SMS_137
Greater than a set seventh judgment threshold
Figure SMS_138
And 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 set
Figure SMS_139
And a seventh judgment threshold value set
Figure SMS_140
The 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:
Figure SMS_141
the abrupt leak score of the mill U-tube was determined from the leak degree score at each test by the following formula:
Figure SMS_142
wherein ,
Figure SMS_143
a leak level score is indicated,
Figure SMS_144
the mutation leak score is indicated as a function of,
Figure SMS_145
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,
Figure SMS_146
the number of times of the detection is indicated,
Figure SMS_147
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:
judging the mutation leakage score
Figure SMS_148
And a set eighth judgment threshold value
Figure SMS_149
Is of a size of (2);
when mutation leakage scores
Figure SMS_150
Greater than a set eighth judgment threshold
Figure SMS_151
And 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 value
Figure SMS_152
The 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:
Figure SMS_153
Figure SMS_154
Figure SMS_155
Figure SMS_156
wherein ,
Figure SMS_158
a leakage risk sub-index score representing each ultrasonic sensor,
Figure SMS_160
a first risk sub-score is indicated,
Figure SMS_163
a set ninth judgment threshold value is indicated,
Figure SMS_159
a second risk sub-score is indicated,
Figure SMS_161
a set tenth judgment threshold value is indicated,
Figure SMS_164
the set eleventh judgment threshold value is indicated,
Figure SMS_166
a second risk assessment score is indicated,
Figure SMS_157
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,
Figure SMS_162
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 accumulation
Figure SMS_165
When no material newly increased accumulation exists at the position of the ultrasonic sensor i, the newly increased accumulation judgment score is obtained
Figure SMS_167
Specifically, in the embodiment of the present application, the set ninth judgment threshold value
Figure SMS_168
A tenth judgment threshold value is set
Figure SMS_169
And a set eleventh judgment threshold value
Figure SMS_170
The 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 formula
Figure SMS_171
And leak upper bound score for ultrasonic sensor
Figure SMS_172
Figure SMS_173
Figure SMS_174
Total risk score for leakage when ultrasound sensor
Figure SMS_175
>
Figure SMS_176
Leakage upper bound score for ultrasonic sensor
Figure SMS_177
>
Figure SMS_178
Determining that the grinder is at risk;
wherein ,
Figure SMS_179
Figure SMS_181
a leakage risk sub-index score representing each ultrasonic sensor,
Figure SMS_183
a thirteenth judgment threshold value set is indicated,
Figure SMS_185
=0.0001,
Figure SMS_182
a twelfth judgment threshold value is set, i represents the serial number of the sensor,
Figure SMS_184
the number of ultrasonic sensors is indicated,
Figure SMS_186
the number of times of the detection is indicated,
Figure SMS_187
indicating the echo energy of the object detected by the ultrasonic sensor,
Figure SMS_180
representing the sensing leak sub-index score.
Specifically, in the embodiment of the present application, the twelfth judgment threshold value is set
Figure SMS_188
And a thirteenth judgment threshold value set
Figure SMS_189
The 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:
installation module 201 and acquisition module 202: 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;
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:
Figure QLYQS_1
,
Figure QLYQS_2
,
Figure QLYQS_3
,
Figure QLYQS_4
,
wherein ,
Figure QLYQS_6
indicating a material pile-up score,/->
Figure QLYQS_10
Detection data representing each ultrasonic sensor, +.>
Figure QLYQS_14
Indicating the distance of the object detected by the ultrasonic sensor from the ultrasonic sensor,/->
Figure QLYQS_7
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,/->
Figure QLYQS_11
Indicates the number of times of detection, +.>
Figure QLYQS_15
Indicating a fixed distance>
Figure QLYQS_17
Indicates the number of ultrasonic sensors, +.>
Figure QLYQS_5
Indicates a fixed duration,/->
Figure QLYQS_9
Indicating a stacking snap score,/->
Figure QLYQS_13
Representing a new added pile score,/->
Figure QLYQS_16
Represents a first decision threshold value set, +.>
Figure QLYQS_8
Representing a second decision threshold value set, +.>
Figure QLYQS_12
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:
Figure QLYQS_18
,/>
Figure QLYQS_19
,
wherein ,
Figure QLYQS_20
a pile-up variation score representing each ultrasonic sensor, < >>
Figure QLYQS_21
Indicating a stacking degree score, < >>
Figure QLYQS_22
Represents a third decision threshold value set, +.>
Figure QLYQS_23
Represents a fourth decision threshold value set, +.>
Figure QLYQS_24
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,/->
Figure QLYQS_25
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:
Figure QLYQS_26
,
determining that the material newly-increased accumulation exists at the position of the ultrasonic sensor i, and judging the score of the newly-increased accumulation
Figure QLYQS_27
The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, let the new accumulation judgment score +.>
Figure QLYQS_28
wherein ,
Figure QLYQS_29
for a set sixth judgment threshold, +.>
Figure QLYQS_30
Indicating the number of ultrasonic sensors, i indicating the serial number of the sensor, < ->
Figure QLYQS_31
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:
judging
Figure QLYQS_32
And a seventh judgment threshold value set>
Figure QLYQS_33
Is of a size of (2);
if the judgment result is
Figure QLYQS_34
A seventh judgment threshold value greater than the setting +.>
Figure QLYQS_35
And judging that the U-shaped pipe part of the grinder has material leakage.
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:
Figure QLYQS_36
,
the abrupt leak score of the mill U-tube was determined from the leak degree score at each test by the following formula:
Figure QLYQS_37
,
wherein ,
Figure QLYQS_38
indicating a leakage degree score,/->
Figure QLYQS_39
Indicating a mutation leak score,/->
Figure QLYQS_40
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,/->
Figure QLYQS_41
Indicates the number of times of detection, +.>
Figure QLYQS_42
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:
judging the mutation leakage score
Figure QLYQS_43
And a set eighth judgment threshold ++>
Figure QLYQS_44
Is of a size of (2); />
When the mutation leaks the score
Figure QLYQS_45
An eighth judgment threshold value greater than the setting +.>
Figure QLYQS_46
And when the U-shaped pipe of the grinder is in a sudden leakage condition, judging the U-shaped pipe of the grinder.
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:
Figure QLYQS_47
,
Figure QLYQS_48
,
Figure QLYQS_49
,
Figure QLYQS_50
,
wherein ,
Figure QLYQS_52
a leakage risk sub-indicator score representing each ultrasonic sensor,/->
Figure QLYQS_55
A first risk sub-score is indicated,
Figure QLYQS_58
represents a set ninth judgment threshold value, +.>
Figure QLYQS_53
Representing a second risk sub-score,>
Figure QLYQS_56
a set tenth judgment threshold value is indicated,
Figure QLYQS_59
represents a set eleventh judgment threshold value, +.>
Figure QLYQS_61
Representing a second risk judgment score,/->
Figure QLYQS_51
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,/->
Figure QLYQS_54
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 +.>
Figure QLYQS_57
When there is no additional accumulation of material at the ultrasonic sensor i position, an additional accumulation judgment score +.>
Figure QLYQS_60
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 formula
Figure QLYQS_62
And an upper bound score for leakage of ultrasonic sensor +.>
Figure QLYQS_63
Figure QLYQS_64
,
Figure QLYQS_65
,
Total risk score for leakage when ultrasound sensor
Figure QLYQS_66
>/>
Figure QLYQS_67
Leakage upper bound score of ultrasonic sensor>
Figure QLYQS_68
>/>
Figure QLYQS_69
Determining that the grinder is at risk;
wherein ,
Figure QLYQS_70
,
Figure QLYQS_72
a leakage risk sub-indicator score representing each ultrasonic sensor,/->
Figure QLYQS_74
Represents a thirteenth judgment threshold value of the setting, +.>
Figure QLYQS_76
=0.0001,/>
Figure QLYQS_73
Indicating the twelfth judgment threshold value set, i indicating the serial number of the sensor,/and->
Figure QLYQS_75
The number of ultrasonic sensors is indicated,
Figure QLYQS_77
indicates the number of times of detection, +.>
Figure QLYQS_78
Indicating the echo energy of the object detected by the ultrasonic sensor, is->
Figure QLYQS_71
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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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS60196641A (en) * 1984-03-21 1985-10-05 Toshiba Corp Gas leakage detector of accumulator
US5343737A (en) * 1992-09-22 1994-09-06 Joseph Baumoel Method and apparatus for leak detection and pipeline temperature modelling method and apparatus
US6484108B1 (en) * 1997-09-26 2002-11-19 Ge Betz, Inc. Method for predicting recovery boiler leak detection system performance
WO2013145493A1 (en) * 2012-03-30 2013-10-03 日本電気株式会社 Pipeline administration assistance device and pipeline administration assistance system
US20170074744A1 (en) * 2015-09-16 2017-03-16 Central Research Institute Of Electric Power Industry Method and Apparatus for Detecting Gas Leakage From Radioactive Material Sealed Container
US20180246004A1 (en) * 2017-02-27 2018-08-30 Yan Zhang Intelligent Pipeline Small Leaks and Thefts Detection Methods and Systems
CN109215295A (en) * 2018-09-11 2019-01-15 清华大学合肥公共安全研究院 Judgment method, device and the electronic equipment of gas leakage
CN111842910A (en) * 2020-07-22 2020-10-30 韶关市欧姆机电设备有限公司 Powder metallurgy equipment based on big data analysis and data analysis method
CN112014037A (en) * 2020-08-31 2020-12-01 中品国际信用管理有限公司 Method and system for detecting leakage by accumulation method
CN115662469A (en) * 2022-12-06 2023-01-31 东莞先知大数据有限公司 Water pipe leakage detecting method, electronic equipment and storage medium

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS60196641A (en) * 1984-03-21 1985-10-05 Toshiba Corp Gas leakage detector of accumulator
US5343737A (en) * 1992-09-22 1994-09-06 Joseph Baumoel Method and apparatus for leak detection and pipeline temperature modelling method and apparatus
US6484108B1 (en) * 1997-09-26 2002-11-19 Ge Betz, Inc. Method for predicting recovery boiler leak detection system performance
WO2013145493A1 (en) * 2012-03-30 2013-10-03 日本電気株式会社 Pipeline administration assistance device and pipeline administration assistance system
US20170074744A1 (en) * 2015-09-16 2017-03-16 Central Research Institute Of Electric Power Industry Method and Apparatus for Detecting Gas Leakage From Radioactive Material Sealed Container
US20180246004A1 (en) * 2017-02-27 2018-08-30 Yan Zhang Intelligent Pipeline Small Leaks and Thefts Detection Methods and Systems
CN109215295A (en) * 2018-09-11 2019-01-15 清华大学合肥公共安全研究院 Judgment method, device and the electronic equipment of gas leakage
CN111842910A (en) * 2020-07-22 2020-10-30 韶关市欧姆机电设备有限公司 Powder metallurgy equipment based on big data analysis and data analysis method
CN112014037A (en) * 2020-08-31 2020-12-01 中品国际信用管理有限公司 Method and system for detecting leakage by accumulation method
CN115662469A (en) * 2022-12-06 2023-01-31 东莞先知大数据有限公司 Water pipe leakage detecting method, electronic equipment and storage medium

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