CN113586423B - Electric energy stability monitoring system for air compressor - Google Patents
Electric energy stability monitoring system for air compressor Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 42
- 238000012545 processing Methods 0.000 claims abstract description 19
- 238000000034 method Methods 0.000 claims abstract description 10
- 239000003570 air Substances 0.000 claims description 67
- 238000013508 migration Methods 0.000 claims description 15
- 230000005012 migration Effects 0.000 claims description 15
- 239000012080 ambient air Substances 0.000 claims description 6
- 238000010606 normalization Methods 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 2
- 230000002085 persistent effect Effects 0.000 claims description 2
- 238000000605 extraction Methods 0.000 claims 1
- 238000002372 labelling Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 5
- 238000004364 calculation method Methods 0.000 description 5
- 230000007613 environmental effect Effects 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000015556 catabolic process Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000011282 treatment Methods 0.000 description 2
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B37/00—Pumps having pertinent characteristics not provided for in, or of interest apart from, groups F04B25/00 - F04B35/00
- F04B37/10—Pumps having pertinent characteristics not provided for in, or of interest apart from, groups F04B25/00 - F04B35/00 for special use
- F04B37/12—Pumps having pertinent characteristics not provided for in, or of interest apart from, groups F04B25/00 - F04B35/00 for special use to obtain high pressure
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Abstract
The invention discloses an electric energy stability monitoring system for an air compressor, which belongs to the technical field of air compressors and comprises a voltage acquisition module, a harmonic acquisition module, an operation processing module, an operation analysis module and an early warning module; setting a monitoring area by taking an air compressor as a center and a preset distance as a radius, and acquiring operation information in the monitoring area through a voltage acquisition module, wherein the operation information comprises voltage data, temperature data and air pressure data; harmonic information in a monitoring area is obtained through a harmonic acquisition module, and the harmonic information comprises harmonic data and continuous data; the operation processing module is used for extracting and marking various data in the collected operation information and harmonic information to obtain operation marking information and harmonic marking information; the method and the device are used for solving the technical problem that the effect of monitoring the stability of the electric energy is poor in the existing scheme.
Description
Technical Field
The invention relates to the technical field of air compressors, in particular to an electric energy stability monitoring system for an air compressor.
Background
An air compressor is an apparatus for compressing air, and a motor directly drives the compressor to rotate a crankshaft, thereby driving a connecting rod to reciprocate a piston, thereby causing a change in the volume of a cylinder.
The invention of publication number CN103138399B discloses a wireless power quality monitoring system and a monitoring method thereof, comprising a data network system, an intelligent heterogeneous system and a power quality system, wherein the intelligent heterogeneous system is respectively in signal connection with the data network system and the power quality system; the intelligent heterogeneous system comprises an implementation layer, a decision layer and an intelligent library, wherein the decision layer is respectively in signal connection with the implementation layer and the intelligent library; the decision layer is respectively in signal connection with the data network system and the power quality system, and the implementation layer is respectively in signal connection with the data network system and the power quality system. The invention provides a wireless power quality monitoring system and a monitoring method thereof, which solve the problems of data loss, data abnormity, system breakdown and the like of a wireless 3G system caused by factors such as unstable signals, 3G router faults, system function module breakdown, abnormal database operation, system hardware damage and the like, greatly improve the stability of the wireless power quality monitoring system based on wireless 3G, and enrich the functional application of the wireless power quality monitoring system based on wireless 3G.
The existing defects include: the comprehensive analysis is not carried out on the basis of the running condition and the surrounding environment condition of the equipment, so that the monitoring result is not accurate, the reason cannot be accurately found and processed, and the monitoring effect is poor.
Disclosure of Invention
The invention aims to provide an electric energy stability monitoring system for an air compressor, which solves the following technical problems: how to solve the not good technical problem of effect of electric energy stability monitoring among the current scheme.
The purpose of the invention can be realized by the following technical scheme:
an electric energy stability monitoring system for an air compressor comprises a voltage acquisition module, a harmonic acquisition module, an operation processing module, an operation analysis module and an early warning module;
setting a monitoring area by taking an air compressor as a center and taking a preset distance as a radius, and acquiring operation information in the monitoring area through a voltage acquisition module, wherein the operation information comprises voltage data, temperature data and air pressure data; harmonic information in a monitoring area is obtained through a harmonic acquisition module, and the harmonic information comprises harmonic data and continuous data; the operation processing module is used for extracting and marking various data in the collected operation information and harmonic information to obtain operation marking information and harmonic marking information, the operation analysis module is used for calculating and processing the operation marking information and the harmonic marking information to obtain an operation coefficient and an influence coefficient, and the operation coefficient and the influence coefficient are analyzed to obtain an analysis result; and the early warning module carries out early warning on the operation of the air compressor according to the analysis result.
Further, voltage data and temperature data in the operation information are obtained, a value is taken from the real-time voltage in the voltage data, and the real-time voltage is marked as SDi, i is 1,2,3.. n; respectively taking and marking the equipment temperature and the environment temperature in the temperature data, marking the equipment temperature as SWi, and marking the environment temperature as HWi; taking a value of ambient air pressure in the air pressure data and marking as HQi; and classifying and combining the marked real-time voltage, the equipment temperature, the environmental temperature and the environmental air pressure to obtain operation marking data.
Further, acquiring harmonic data and continuous data in the harmonic information, and carrying out value taking on harmonic frequency in the harmonic data and marking as XPi; taking values of the duration in the persistent data and marking the values as CSi; and carrying out classification combination on the marked harmonic frequency and the duration to obtain harmonic marking information.
Further, various data marked in the running information are acquired for normalization processing and value taking, and a formula is utilized
Calculating and acquiring an operation coefficient of the equipment; wherein a1, a2 and a3 are represented as different proportionality coefficients, η is represented as an operation compensation factor, the value range is (0,5), SDi is represented as a real-time voltage, SD0 is represented as a standard voltage, HQi is represented as ambient air pressure, HQ0 is represented as a standard air pressure, SWi is represented as a real-time temperature, and SW0 is represented as a standard temperature; marking the maximum operation coefficient as the selected operation coefficient, and passing through a formula in a preset time period
Calculating and obtaining a migration coefficient, wherein Ti represents the duration of the selected operation coefficient, and Ni represents the occurrence frequency of the selected operation coefficient; and matching the migration coefficient with a preset migration threshold, and if the migration coefficient is greater than the migration threshold, generating a first early warning instruction.
Further, various data marked in the harmonic information are acquired for normalization processing and value taking, and a formula is utilized
Calculating and acquiring an influence coefficient of the equipment, wherein beta is expressed as an influence correction factor, the value range is (0,5), XPi is expressed as harmonic frequency of other equipment in the environment, XP0 is expressed as harmonic frequency of an air compressor, and CSi is expressed as duration of the harmonic frequency; obtaining the type of the air compressor, obtaining the corresponding influence threshold value according to the type of the air compressor, and calculating the influence systemAnd analyzing the ratio of the number to a preset influence threshold value to obtain an influence analysis set.
Further, the specific steps of analyzing the ratio include: matching the ratio with a preset ratio interval, and if the ratio belongs to the ratio interval, generating a first influence signal; if the ratio does not belong to the ratio interval, generating a second early warning instruction; the first influence signal, the first early warning instruction and the second early warning instruction form an analysis result.
Further, the specific steps of early warning the operation of the air compressor according to the analysis result comprise: processing the analysis result, if the analysis result contains a first early warning instruction or a second early warning instruction, acquiring the working efficiency corresponding to the first early warning instruction, setting the working efficiency as the first working efficiency, and taking the value of the first working efficiency and marking the value as GX 1; obtaining the working efficiency corresponding to the second early warning instruction, setting the working efficiency as the second working efficiency, and taking the value of the second working efficiency and marking the value as GX 2; using formulas
Calculating and obtaining an efficiency coefficient, wherein mu is an operation efficiency compensation factor, the value range is (0,5), GXk is a first working efficiency and a second working efficiency, and k is 1, 2; GXB represents the standard working efficiency corresponding to the air compressor; and acquiring a corresponding early warning grade according to the efficiency coefficient and carrying out early warning prompt.
Further, the specific steps of obtaining the corresponding early warning grade according to the efficiency coefficient and performing early warning prompt comprise: the early warning level comprises a low warning level, a middle warning level and a high warning level, the value range of the low warning level is [ p, q ], the value range of the middle warning level is [ q, p +2q ], the value range of the high warning level is [ p +2q, p +3q ], wherein p and q are constants, and p > q; and matching the efficiency coefficient with a value range corresponding to the early warning level to obtain a corresponding early warning prompt, wherein the low warning level corresponds to a low risk early warning prompt, the medium warning level corresponds to an intermediate risk early warning prompt, and the high warning level corresponds to a high risk early warning prompt.
The invention has the beneficial effects that:
acquiring operation information including voltage data, temperature data and air pressure data in a monitoring area through a voltage acquisition module; harmonic information containing harmonic data and continuous data in a monitoring area is acquired through a harmonic acquisition module; by acquiring data from different aspects, diversified data support is provided for monitoring and analyzing the electric energy stability of the air compressor, and the defect that the accuracy of monitoring and analyzing the electric energy stability is poor due to single acquired data during monitoring and analyzing in the existing scheme is overcome; the operation processing module extracts and marks various data in the collected operation information and harmonic information to obtain operation mark information and harmonic mark information, the operation analysis module calculates and processes the operation mark information and the harmonic mark information to obtain an operation coefficient and an influence coefficient, the operation coefficient and the influence coefficient are analyzed to obtain an analysis result, and the collected various data are simultaneously calculated to facilitate the overall analysis of the electric energy stability of the air compressor from different aspects; the early warning module carries out early warning on the operation of the air compressor according to the analysis result; the comprehensive analysis of the running condition of the slave equipment and the surrounding environment condition can be realized, and the accuracy of the monitoring result of the stability of the electric energy is improved.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a block diagram of an electric energy stability monitoring system for an air compressor according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to an electric energy stability monitoring system for an air compressor, which comprises a voltage acquisition module, a harmonic acquisition module, an operation processing module, an operation analysis module and an early warning module;
setting a monitoring area by taking an air compressor as a center and taking a preset distance as a radius, and acquiring operation information in the monitoring area through a voltage acquisition module, wherein the operation information comprises voltage data, temperature data and air pressure data; harmonic information in a monitoring area is obtained through a harmonic acquisition module, and the harmonic information comprises harmonic data and continuous data;
in the embodiment, the operation of the air compressor can be monitored from different aspects by comprehensively analyzing the operation condition of the air compressor and the surrounding environment condition, the abnormity of the electric energy is found in time and different treatments are carried out, for example, if the electric energy is unstable due to the self fault of the air compressor, the air compressor is early warned and overhauled; if the electric energy is unstable due to the abnormal operation environment of the air compressor, for example, the operation of other equipment in the environment interferes with the operation of the air compressor, or the ambient temperature is too high, the environment is processed, the operation of the air compressor is analyzed from different aspects, reliable data support can be provided for the analysis of the electric energy stability, the reason influencing the electric energy stability can be conveniently found out and the targeted processing is carried out, and therefore the purpose of improving the electric energy stability monitoring effect is achieved.
The operation processing module is used for extracting and marking various data in the collected operation information and harmonic information to obtain operation marking information and harmonic marking information; the method comprises the following specific steps: acquiring voltage data and temperature data in the operation information, and taking values of real-time voltage in the voltage data and marking the real-time voltage as SDi, wherein i is 1,2,3.. n; respectively taking and marking the equipment temperature and the environment temperature in the temperature data, marking the equipment temperature as SWi, and marking the environment temperature as HWi; taking a value of ambient air pressure in the air pressure data and marking as HQi; and classifying and combining the marked real-time voltage, the equipment temperature, the environmental temperature and the environmental air pressure to obtain operation marking data.
Obtaining harmonic data and continuous data in the harmonic information, and carrying out value taking on harmonic frequency in the harmonic data and marking the harmonic frequency as XPi; taking values of the duration of the harmonic frequency of the air compressor in the duration data and marking the values as CSi; and carrying out classification combination on the marked harmonic frequency and the duration to obtain harmonic marking information.
In this embodiment, by processing the collected data items, including taking values and marking the data items, the data items are normalized and are convenient for calculation, and the accuracy of data calculation and analysis can be improved by processing the original data.
The operation analysis module calculates and processes the operation marking information and the harmonic marking information to obtain an operation coefficient and an influence coefficient, and analyzes the operation coefficient and the influence coefficient to obtain an analysis result; the method comprises the following specific steps: acquiring various items of data marked in the running information, carrying out normalization processing and value taking, and utilizing a formula
Calculating and acquiring an operation coefficient of the equipment; wherein a1, a2 and a3 are represented as different proportionality coefficients, η is represented as an operation compensation factor, and the value can be 0.636221, SDi is represented as a real-time voltage, SD0 is represented as a standard voltage, HQi is represented as an ambient air pressure, HQ0 is represented as a standard air pressure, SWi is represented as a real-time temperature, and SW0 is represented as a standard temperature; marking the maximum operation coefficient as the selected operation coefficient, and passing through a formula in a preset time period
Calculating and obtaining a migration coefficient, wherein Ti represents the duration of the selected operation coefficient, and Ni represents the occurrence frequency of the selected operation coefficient; matching the migration coefficient with a preset migration threshold, and if the migration coefficient is larger than the migration threshold, generating a first early warning instruction; setting values of standard voltage, standard air pressure and standard temperature based on different types of air compressors; the preset time period may be 8:00-8: 30.
In this embodiment, the operation coefficient of the equipment is obtained through calculation and analyzed, each item of data such as voltage influencing the stability of electric energy, air pressure and temperature in the environment is performed simultaneously, the operation of the air compressor is conveniently and integrally analyzed, whether the electric energy of the operating air compressor is kept stable or not is judged, when the voltage of the air compressor fluctuates or the air pressure and temperature of the environment change in the operation, the operation of the air compressor and the consumption of the electric energy are influenced, and based on the simultaneous calculation of the data, reliable data support is provided for the analysis of the stability of the electric energy.
Obtaining various data marked in harmonic information, carrying out normalization processing and value taking, and utilizing a formula
Calculating and obtaining an influence coefficient of the equipment, wherein beta is expressed as an influence correction factor, the value can be 0.142587, XPi is expressed as the harmonic frequency of other equipment in the environment, XP0 is expressed as the harmonic frequency of the air compressor, and CSi is expressed as the duration of the harmonic frequency; whether the harmonic frequency of other equipment causes interference to the harmonic frequency of the air compressor or not is analyzed and judged through the influence coefficient, and therefore the accuracy of analyzing the electric energy stability of the air compressor is improved.
The method comprises the steps of obtaining the type of the air compressor, wherein different types of air compressors correspond to different voltages and power, obtaining corresponding influence thresholds according to the type of the air compressor, calculating the ratio between an influence coefficient and a preset influence threshold, and analyzing the ratio to obtain an influence analysis set;
the specific steps of analyzing the ratio include: matching the ratio with a preset ratio interval, and if the ratio belongs to the ratio interval, generating a first influence signal; if the ratio does not belong to the ratio interval, generating a second early warning instruction; the first influence signal, the first early warning instruction and the second early warning instruction form an analysis result; the influence threshold value and the ratio interval are set based on different types of air compressors.
The early warning module carries out early warning on the operation of the air compressor according to the analysis result; the method comprises the following specific steps: processing the analysis result, if the analysis result contains a first early warning instruction or a second early warning instruction, acquiring the working efficiency corresponding to the first early warning instruction, setting the working efficiency as the first working efficiency, and taking the value of the first working efficiency and marking the value as GX 1; obtaining the working efficiency corresponding to the second early warning instruction, setting the working efficiency as the second working efficiency, and taking the value of the second working efficiency and marking the value as GX 2;
using formulas
Calculating and obtaining an efficiency coefficient, wherein mu is an operation efficiency compensation factor, the value of mu can be 0.845714, GXk can be a first working efficiency and a second working efficiency, and k is 1 and 2; GXB represents the standard working efficiency corresponding to the air compressor; and acquiring a corresponding early warning grade according to the efficiency coefficient and carrying out early warning prompt.
The specific steps of obtaining the corresponding early warning grade according to the efficiency coefficient and carrying out early warning prompt comprise: the early warning level comprises a low warning level, a middle warning level and a high warning level, the value range of the low warning level is [ p, q ], the value range of the middle warning level is [ q, p +2q ], the value range of the high warning level is [ p +2q, p +3q ], wherein p and q are constants, and p > q; and matching the efficiency coefficient with a value range corresponding to the early warning level to obtain a corresponding early warning prompt, wherein the low warning level corresponds to a low risk early warning prompt, the medium warning level corresponds to an intermediate risk early warning prompt, and the high warning level corresponds to a high risk early warning prompt.
In this embodiment, different early warning grades represent the degree of difficulty of handling the problem, and under the unusual condition of electric energy stationarity appearance, the early warning suggestion of different degrees is generated according to the influence of different factors, and the staff of being convenient for carries out different overhauls and handles, can improve the monitoring and the treatment effect of electric energy stationarity.
The formulas in the invention are all a formula which is obtained by removing dimensions and taking numerical value calculation, and software simulation is carried out by collecting a large amount of data to obtain the formula closest to the real condition, and the preset proportionality coefficient and the threshold value in the formula are set by the technical personnel in the field according to the actual condition or are obtained by simulating a large amount of data.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be directly connected or indirectly connected through an intermediate member, or they may be connected through two or more elements. The specific meaning of the above terms in the present invention can be understood in a specific case by those skilled in the art.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (5)
1. The utility model provides an electric energy stability monitoring system for air compressor machine which characterized in that includes: acquiring operation information in a monitoring area through a voltage acquisition module, wherein the operation information comprises voltage data, temperature data and air pressure data; harmonic information in a monitoring area is obtained through a harmonic acquisition module, and the harmonic information comprises harmonic data and continuous data; the operation processing module extracts and marks various data in the collected operation information and harmonic information to obtain operation mark information and harmonic mark information, the operation analysis module calculates and processes the operation mark information and the harmonic mark information to obtain an operation coefficient and an influence coefficient, and the operation coefficient and the influence coefficient are analyzed to obtain an analysis result; the early warning module carries out early warning on the operation of the air compressor according to the analysis result;
the specific steps of extraction and labeling include: acquiring voltage data and temperature data in the operation information, and carrying out value taking and marking on real-time voltage in the voltage data; respectively taking and marking the equipment temperature and the ambient temperature in the temperature data; carrying out value taking and marking on the ambient air pressure in the air pressure data; classifying and combining all marked data to obtain operation marked data;
acquiring harmonic data and continuous data in the harmonic information, and carrying out value taking and marking on harmonic frequency in the harmonic data; carrying out value taking and marking on the duration in the persistent data; classifying and combining various marked data to obtain harmonic marking information;
acquiring various data marked in the operation information, carrying out normalization processing and value taking, and utilizing a formula
Calculating and acquiring an operation coefficient of the equipment; a1, a2 and a3 are expressed as different scaling factors, η is expressed as an operation compensation factor, SDi is expressed as a real-time voltage, SD0 is expressed as a standard voltage, HQi is expressed as ambient air pressure, HQ0 is expressed as a standard air pressure, SWi is expressed as a real-time temperature, and SW0 is expressed as a standard temperature; marking the maximum operation coefficient as the selected operation coefficient, and passing through a formula in a preset time period
Calculating and obtaining a migration coefficient, wherein Ti represents the duration of the selected operation coefficient, and Ni represents the occurrence frequency of the selected operation coefficient; and matching the migration coefficient with a preset migration threshold, and if the migration coefficient is greater than the migration threshold, generating a first early warning instruction.
2. The electric energy stability monitoring system for the air compressor according to claim 1, wherein various data marked in the harmonic information are acquired for normalization and value taking, and a formula is utilized
Calculating and obtaining an influence coefficient of equipment, wherein beta is expressed as an influence correction factor, XPi is expressed as harmonic frequency of other equipment in the environment, XP0 is expressed as harmonic frequency of an air compressor, and CSi is expressed as duration of the harmonic frequency; and acquiring a corresponding influence threshold according to the type of the air compressor, calculating a ratio between the influence coefficient and the influence threshold, and analyzing the ratio to obtain an influence analysis set.
3. The electric energy stability monitoring system for the air compressor as claimed in claim 2, wherein the specific step of analyzing the value comprises: matching the ratio with a preset ratio interval, and if the ratio belongs to the ratio interval, generating a first influence signal; if the ratio does not belong to the ratio interval, generating a second early warning instruction; the first influence signal, the first early warning instruction and the second early warning instruction form an analysis result.
4. The electric energy stability monitoring system for the air compressor as claimed in claim 3, wherein the specific steps of early warning the operation of the air compressor according to the analysis result comprise: using formulas
Calculating and obtaining an efficiency coefficient, wherein mu is represented as an operation efficiency compensation factor, GXk is represented as a first working efficiency and a second working efficiency, and k is 1 and 2; GXB represents the standard working efficiency corresponding to the air compressor; and acquiring a corresponding early warning grade according to the efficiency coefficient and carrying out early warning prompt.
5. The electric energy stability monitoring system for the air compressor according to claim 4, wherein the specific steps of obtaining the corresponding early warning level according to the efficiency coefficient and performing early warning prompt comprise: the early warning levels comprise a low warning level, a medium warning level and a high warning level; and matching the efficiency coefficient with a value range corresponding to the early warning grade to obtain a corresponding early warning prompt.
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Denomination of invention: A Power Stability Monitoring System for Air Compressors Granted publication date: 20220510 Pledgee: Guangzhou Bank Co.,Ltd. Baiyun Branch Pledgor: Guangdong xinzuan Energy Saving Technology Co.,Ltd. Registration number: Y2024980003972 |