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CN114033689B - Method, system, intelligent terminal and medium for judging air filtering blocking degree of variable-frequency screw air compressor - Google Patents

Method, system, intelligent terminal and medium for judging air filtering blocking degree of variable-frequency screw air compressor Download PDF

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Publication number
CN114033689B
CN114033689B CN202111255174.9A CN202111255174A CN114033689B CN 114033689 B CN114033689 B CN 114033689B CN 202111255174 A CN202111255174 A CN 202111255174A CN 114033689 B CN114033689 B CN 114033689B
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Prior art keywords
air compressor
variable
judging
screw air
frequency screw
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CN202111255174.9A
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CN114033689A (en
Inventor
岑焕军
洪迪波
宋立刚
金国锋
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Ningbo Mobo Compressor Co ltd
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Ningbo Mobo Compressor Co ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04CROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT PUMPS
    • F04C28/00Control of, monitoring of, or safety arrangements for, pumps or pumping installations specially adapted for elastic fluids
    • F04C28/28Safety arrangements; Monitoring
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04CROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT PUMPS
    • F04C29/00Component parts, details or accessories of pumps or pumping installations, not provided for in groups F04C18/00 - F04C28/00
    • F04C29/0092Removing solid or liquid contaminants from the gas under pumping, e.g. by filtering or deposition; Purging; Scrubbing; Cleaning
    • 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
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Applications Or Details Of Rotary Compressors (AREA)
  • Control Of Positive-Displacement Pumps (AREA)

Abstract

The invention provides a method for judging the air filtering blocking degree of a variable-frequency screw air compressor, which comprises the following steps: acquiring operation data of the variable-frequency screw air compressor, wherein the operation data comprises an actual output frequency V 1 Actual working pressure P 1 The method comprises the steps of carrying out a first treatment on the surface of the Calculating a power scaling factor n according to the obtained data, wherein a calculation formula is n= (V) 2 /V 1 )*(ln(P 2 +P X )/ln(P 1 +P X ) And), wherein P X At atmospheric pressure, V 2 For rated output frequency, P 2 For rated operating pressure, ln is an ln function; after obtaining a power proportion coefficient n, calculating according to n to obtain a comparison power P3, wherein a calculation formula is P3=P2×n, and P2 is the actual running power of the variable-frequency screw air compressor when acquiring data; judging the blocking degree of the air filter through P3; the invention is beneficial to intellectualization, does not need a sensor, can continuously monitor the variable-frequency screw air compressor, and can well judge the air filtering blocking degree of the variable-frequency screw air compressor.

Description

Method, system, intelligent terminal and medium for judging air filtering blocking degree of variable-frequency screw air compressor
Technical Field
The invention relates to the technical field of air compressors, in particular to a method, a system, an intelligent terminal and a medium for judging the air filtering blocking degree of a variable-frequency screw air compressor.
Background
The variable-frequency screw air compressor is one of air compressors, and adopts a screw rotor as a main compression component, but the variable-frequency screw air compressor is also required to ensure a good working state by air filtration as other air compressors.
At present, the main technical means for detecting the air filter blockage are mainly two, one is manual periodic maintenance treatment, and the other is more automatic, namely, a sensor is used for detecting the pressure difference at two sides of the air filter, and after the pressure difference exceeds a pressure set value, an alarm is given or measures are automatically taken. Adopt the scheme of sensor, for example publication number CN207892844U sliding vane type air compressor machine air inlet filtration system, it is equipped with pressure differential switch in the gas outlet department of air cleaner.
Compared with manual periodic maintenance processing, the detection by adopting the sensor is more automatic, is a preferable direction, but has a plurality of defects: 1) The sensor needs to be installed by freeing up space, the space is occupied, the installation position is required, otherwise, the detection is inaccurate, and the sensor is not beneficial to the use in the variable-frequency screw air compressor; 2) The working state of the variable-frequency screw air compressor is changed, so that the generated pressure difference also fluctuates, the data of the detection reaction of the sensor does not necessarily describe the blockage problem, and the accuracy degree has a larger problem, so that the sensor scheme can only be used as a reference and can not be used as a main judgment basis, in other words, more auxiliary functions are needed, and the manual work is needed to be relied on; 3) The sensor only detects data, and at present, no better processing method exists, so that the judgment can be relatively accurate; 4) The continuous operation of the sensor has higher requirements on the sensor, and the situation that the empty filter needs to be replaced is additionally overlapped, so that the hidden trouble of damage to the sensor is larger; 5) The sensor occupies cost and energy consumption.
The applicant deeply ploughs the air compressor for many years, how to combine the air compressor and the internet of things to improve the use level of the air compressor is always the direction of intensive research of the applicant, and for the above problems, the applicant proposes a method, a system, an intelligent terminal and a medium for judging the air filtering blocking degree of the variable-frequency screw air compressor, and the scheme proposed by the applicant is beneficial to intellectualization, but does not need to use a sensor, can continuously monitor the variable-frequency screw air compressor, and well judges the air filtering blocking degree of the variable-frequency screw air compressor.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a method for judging the air filtering blocking degree of a variable-frequency screw air compressor, which is beneficial to intellectualization, does not need a sensor, can continuously monitor the variable-frequency screw air compressor, and can well judge the air filtering blocking degree of the variable-frequency screw air compressor.
Compared with the prior art, the invention provides a method for judging the air filter blocking degree of a variable-frequency screw air compressor, which comprises the following steps:
acquiring operation data of the variable-frequency screw air compressor, wherein the operation data comprises an actual output frequency V 1 Actual working pressure P 1
A power scaling factor n is calculated from the obtained data,
the calculation formula is n= (V) 2 /V 1 )*(ln(P 2 +P X )/ln(P 1 +P X )),
Wherein P is X At atmospheric pressure, V 2 For rated output frequency, P 2 For rated operating pressure, ln is an ln function;
after the power proportionality coefficient n is obtained, the comparison power P3 is obtained by calculation according to n,
the calculation formula is p3=p2×n,
wherein P2 is the actual running power of the variable-frequency screw air compressor when acquiring data;
and judging the blocking degree of the air filter through P3.
As an improvement, the operation data collected from the variable frequency screw air compressor during operation with both pressure and frequency greater than 50% of rated value is used as the effective data, and P3 is calculated using the effective data.
As an improvement, P3 is calculated along the time line, and a curve change with time as a transverse axis is formed, and the degree of air filter clogging is judged by the degree of curve change.
As an improvement, the timeline is at least one week.
As an improvement, the air filter blockage rate X is calculated according to the obtained comparison power P3, and the calculation formula is x=p3/P1, wherein P1 is the rated power of the variable-frequency screw air compressor.
After adopting the structure, compared with the prior art, the invention has the following advantages: according to the invention, the air filter blocking degree is judged through the P3, a sensor is not required to be arranged, and the change of the P3 can relatively objectively reflect the air filter blocking degree by adopting the scheme of the invention, because as the air filter blocking degree is higher and higher, the air which can be inhaled in unit time of the air compressor is reduced, the power consumed by the compressed air of the screw component is reduced, and the power consumed by the compressed air of the screw component is reduced through a calculation formula n= (V) defined by the applicant 2 /V 1 )*(ln(P 2 +P X )/ln(P 1 +P X ) Under the current condition of P2, calculating the specific power (namely the value of P3) when the rated output frequency and the rated working pressure are supposed to be reached, and using the scheme to accurately evaluate the air suction condition of the air compressor, thereby realizing the intellectualization, but without using a sensor, continuously monitoring the variable-frequency screw air compressor, and judging the air filtering blocking degree of the variable-frequency screw air compressor better.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention.
Fig. 2 is a schematic diagram of a system according to the present invention.
FIG. 3 is a schematic diagram of another system according to the present invention.
Fig. 4 is a schematic structural diagram of the intelligent terminal of the present invention.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art. The basic principles of the invention defined in the following description may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
The present invention is described in further detail below:
the scheme of the invention is a method for judging the air filtering blocking degree of a variable-frequency screw air compressor, the general flow is shown in figure 1, and specifically, the method comprises the following steps:
acquiring operation data of the variable-frequency screw air compressor, wherein the operation data comprises an actual output frequency V 1 Actual working pressure P 1 The method comprises the steps of carrying out a first treatment on the surface of the It may be a periodic acquisition, such as a 5 minute interval acquisition, i.e., data acquired every 5 minutes.
A power scaling factor n is calculated from the obtained data,
the calculation formula is n= (V) 2 /V 1 )*(ln(P 2 +P X )/ln(P 1 +P X )),
Wherein P is X At atmospheric pressure, V 2 For rated output frequency, P 2 For rated operating pressure, ln is an ln function; p (P) X The acquisition of the variable frequency screw air compressor can be measured according to the position of the current variable frequency screw air compressor, or can be the common atmospheric pressure of the area where the current variable frequency screw air compressor is located, namely P X Can be set to a constant.
V 2 、P 2 And the recorded value is the nameplate recorded value of the variable-frequency screw air compressor, and the fixed value is obtained after the variable-frequency screw air compressor leaves the factory.
After the power proportionality coefficient n is obtained, the comparison power P3 is obtained by calculation according to n,
the calculation formula is p3=p2×n,
wherein P2 is the actual running power of the variable-frequency screw air compressor when acquiring data;
in this example, in order to intuitively and easily understand the power change condition caused by blockage, the air filter blockage rate X defined by the invention is further calculated according to the obtained comparison power P3, and the calculation formula is x=p3/P1, wherein P1 is the rated power of the variable-frequency screw air compressor, and P1 is also a fixed value after leaving the factory.
Of course, the degree of clogging of the air filter may be determined by P3, as shown with reference to fig. 1 and 2.
In addition, the scheme of the invention requires the operation data collected from the operation period of the variable-frequency screw air compressor in which the pressure and the frequency are both greater than 50% of rated values to be used as effective data, and the effective data is utilized to calculate P3, so that the obtained operation data can be ensured to a certain extent through the design and is obtained when the variable-frequency screw air compressor stably operates, and thus, the deviation of the result obtained by adopting the scheme of the invention is small, and the accuracy of judging the air filtering blocking degree is better, so that the scheme of the invention has more practical significance.
In order to better react or more facilitate the accurate judgment of the air filter clogging degree by utilizing the scheme of the invention, the invention also specifically adopts the scheme design that P3 is calculated along a time line, the curve change taking time as a transverse axis is formed, and the air filter clogging degree is judged through the curve change degree. Because the gradual blocking of the air filter is a necessary phenomenon, but the blocking situation needs to be treated and seen as soon as the air filter is blocked, the blocking change situation can be better reflected by utilizing a statistical curve, so that a user can be guided to reasonably arrange time as much as possible to maintain the air compressor instead of being tired of maintaining the air compressor, and in addition, the blocking degree of the air filter can be more comprehensively estimated through two means of the curve and the empirical value.
The time line is at least one week, which enables a better assessment of the degree of air filter blockage. Additionally, the scheme of the invention can be adopted to judge the blocking degree of the air filter every day, and the time line is pushed forward for at least one week for each judgment, so that continuous monitoring is formed, and the effect of evaluating the blocking degree of the air filter is more beneficial to improvement.
The invention also provides a system for operating the method for judging the air filter blocking degree of the variable-frequency screw air compressor, as shown in fig. 2 and 3, two systems are provided, and one system approximately comprises:
the data acquisition unit is used for acquiring operation data of the variable-frequency screw air compressor, wherein the operation data comprises an actual output frequency V 1 Actual working pressure P 1
A unit for calculating P3, which is used for calculating P3 according to the operation data, in particular calculating a power proportionality coefficient n according to the obtained data,
the calculation formula is n= (V) 2 /V 1 )*(ln(P 2 +P X )/ln(P 1 +P X )),
Wherein P is X At atmospheric pressure, V 2 For rated output frequency, P 2 For rated operating pressure, ln is an ln function;
after the power proportionality coefficient n is obtained, the comparison power P3 is obtained by calculation according to n,
the calculation formula is p3=p2×n,
wherein P2 is the actual running power of the variable-frequency screw air compressor when acquiring data;
a statistics unit for forming a curve change with time as a transverse axis according to P3 in a certain time;
and the judging unit is used for judging the air filter blockage degree through P3, specifically judging the air filter blockage degree through curve change degree.
The other system further comprises a unit for calculating the air filter blockage rate X, wherein the unit is used for calculating the air filter blockage rate X according to the obtained comparison power P3, the calculation formula is X=P3/P1, P1 is the rated power of the variable-frequency screw air compressor, the statistical unit is used for forming curve change taking time as a transverse axis according to X in a certain time, and the air filter blockage degree is judged according to the curve change degree.
Fig. 4 is a schematic structural diagram of an intelligent terminal according to an embodiment of the present invention, where the intelligent terminal is capable of executing the method according to the foregoing embodiment.
The intelligent terminal comprises:
one or more processors, and memory, one processor being illustrated in fig. 4.
The processor and the memory may be connected by a bus or other means.
The intelligent terminal can be the following architecture: the user can hold only one touch screen on hand, corresponding equipment is installed on the user site and the target site, all calculation and storage are carried out on remote cloud, and the intelligent terminal can be more convenient to use.
The memory is used as a non-transitory computer readable storage medium, and may be used to store a non-volatile software program, a non-volatile computer executable program, and modules, such as program instructions/modules corresponding to the method in the embodiments of the present invention (e.g., a unit for acquiring data, a unit for calculating P3, a statistical unit, a unit for calculating the air filtration clogging rate X, and a judging unit shown in fig. 2 or 3). The processor executes various functional applications and data processing of the intelligent terminal by running non-volatile software programs, instructions and modules stored in the memory, i.e. implements the methods of the above-described method embodiments.
The memory may include a memory program area and a memory data area, wherein the memory program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the system, etc. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory remotely located relative to the processor, the remote memory being connectable to the intelligent terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory and when executed by the one or more processors perform the methods of any of the method embodiments described above, e.g., perform the steps represented by the method of fig. 1 described above, to implement the functions of the units of fig. 2 or 3.
Embodiments of the present invention also provide a non-transitory computer-readable storage medium storing computer-executable instructions which are executed by one or more processors, e.g., by one of the processors in fig. 4, such that the one or more processors may perform the methods of any of the method embodiments described above, e.g., perform the steps represented by the method of fig. 1 described above, to implement the functions of the units of fig. 2 or 3.
Embodiments of the present invention also provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a smart terminal, cause the smart terminal to perform the above method, perform the steps represented by the method in fig. 1 described above, and implement the functions of the units in fig. 2 or 3.
The product (including the intelligent terminal, the non-transitory computer readable storage medium and the computer program product) can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment may be found in the methods provided in the embodiments of the present invention.
The system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
From the above description of embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus a general purpose hardware platform, or may be implemented by hardware. Those skilled in the art will appreciate that all or part of the processes implementing the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and where the program may include processes implementing the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.
In understanding the present invention, the above-described structure may be understood together with other drawings, if necessary, and will not be described herein.
The foregoing description is only illustrative of the present invention and is therefore intended to cover all such modifications and changes in form, details, and materials as fall within the true spirit and scope of the invention.

Claims (10)

1. The method for judging the air filtering blocking degree of the variable-frequency screw air compressor is characterized by comprising the following steps of:
acquiring operation data of the variable-frequency screw air compressor, wherein the operation data comprises an actual output frequency V 1 Actual working pressure P 1
A power scaling factor n is calculated from the obtained data,
the calculation formula is n= (V) 2 /V 1 )*(ln(P 2 +P X )/ln(P 1 +P X )),
Wherein P is X At atmospheric pressure, V 2 For rated output frequency, P 2 For rated operating pressure, ln is an ln function;
after the power proportionality coefficient n is obtained, the comparison power P3 is obtained by calculation according to n,
the calculation formula is p3=p2×n,
wherein P2 is the actual running power of the variable-frequency screw air compressor when acquiring data;
and judging the blocking degree of the air filter through P3.
2. The method for judging the air filtering blockage degree of the variable frequency screw air compressor according to claim 1, wherein the operation data acquired from the operation period of the variable frequency screw air compressor in which both the pressure and the frequency are greater than 50% of the rated value are used as the effective data, and the effective data is used for calculating the P3.
3. The method for judging the air filter clogging degree of a variable frequency screw air compressor according to claim 1, wherein P3 is calculated along a time line, a curve change with time as a transverse axis is formed, and the air filter clogging degree is judged by the curve change degree.
4. The method for judging air filter clogging degree of a variable frequency screw air compressor of claim 3, wherein the time line is at least one week.
5. The method for judging the air filter blockage degree of the variable frequency screw air compressor according to claim 1, 2 or 3, wherein the air filter blockage rate X is calculated according to the obtained comparison power P3, and a calculation formula is X=P3/P1, wherein P1 is the rated power of the variable frequency screw air compressor.
6. A system for operating the method for judging the air filter clogging degree of the variable frequency screw air compressor according to any one of claims 1 to 5, characterized by comprising:
the data acquisition unit is used for acquiring operation data of the variable-frequency screw air compressor, wherein the operation data comprises an actual output frequency V 1 Actual working pressure P 1
A unit for calculating P3, which is used for calculating P3 according to the operation data, in particular calculating a power proportionality coefficient n according to the obtained data,
the calculation formula is n= (V) 2 /V 1 )*(ln(P 2 +P X )/ln(P 1 +P X )),
Wherein P is X At atmospheric pressure, V 2 For rated output frequency, P 2 For rated operating pressure, ln is an ln function;
after the power proportionality coefficient n is obtained, the comparison power P3 is obtained by calculation according to n,
the calculation formula is p3=p2×n,
wherein P2 is the actual running power of the variable-frequency screw air compressor when acquiring data;
and the judging unit is used for judging the air filter blockage degree through P3.
7. The system of claim 6, further comprising a unit for calculating an air filter clogging rate X based on the obtained comparison power P3, wherein the calculation formula is x=p3/P1, and wherein P1 is a rated power of the variable frequency screw air compressor.
8. The method for judging the air filter clogging degree of the variable frequency screw air compressor according to claim 6 or 7, further comprising a statistics unit for forming a curve change with time as a transverse axis according to P3 or X in a certain time, and judging the air filter clogging degree by the curve change degree.
9. An intelligent terminal, characterized by comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.
10. A non-transitory computer readable storage medium storing computer executable instructions for causing a smart terminal to perform the method of any one of claims 1-5.
CN202111255174.9A 2021-10-27 2021-10-27 Method, system, intelligent terminal and medium for judging air filtering blocking degree of variable-frequency screw air compressor Active CN114033689B (en)

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Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09217689A (en) * 1996-02-14 1997-08-19 Matsushita Electric Ind Co Ltd Scroll gas compressor
JPH09250485A (en) * 1996-03-19 1997-09-22 Hitachi Ltd Inverter drive rotary type compressor
DE19933202A1 (en) * 1999-07-15 2001-01-18 Inst Luft Kaeltetech Gem Gmbh Method for operating multi-phase compressor especially for refrigerating plants uses computer-calculated speed combinations for comparing ideal value and actual value of cold water header temperature for selecting right combination
JP2002364568A (en) * 2001-06-01 2002-12-18 Hitachi Ltd Oilless screw compressor and its controlling method
JP2005069100A (en) * 2003-08-25 2005-03-17 Hitachi Industrial Equipment Systems Co Ltd Unlubricated screw compressor
JP2008185039A (en) * 2008-04-16 2008-08-14 Hitachi Industrial Equipment Systems Co Ltd Oil-free screw compressor
CN107013443A (en) * 2016-01-28 2017-08-04 Abb技术有限公司 Load/unload control method and equipment for compressor assembly
EP3211239A1 (en) * 2015-05-08 2017-08-30 Guangdong Meizhi Compressor Co., Ltd. Crankshaft for rotary compressor, rotary compressor and refrigerating cycle device
CN107842503A (en) * 2017-10-25 2018-03-27 宁波德曼压缩机有限公司 Energy-efficient dual-stage screw air compressor control system
CN108917091A (en) * 2018-09-28 2018-11-30 奥克斯空调股份有限公司 A kind of air conditioner intelligent test method and its air conditioner
CN109026688A (en) * 2018-09-30 2018-12-18 厦门华夏国际电力发展有限公司 A kind of large scale industry air compressor pressure adjusting optimizing redundancy system and method
CN110332119A (en) * 2019-07-10 2019-10-15 西安交通大学 A kind of screw type refrigerating compressor start-up course automatic control system and method
JP6612412B1 (en) * 2018-10-24 2019-11-27 東京瓦斯株式会社 Compressor
CN112377413A (en) * 2020-11-13 2021-02-19 埃尔利德(广东)智能科技有限公司 Air compressor compression work optimization control method, device, equipment and storage medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB621019A (en) * 1944-01-11 1949-04-04 Specialties Dev Corp High pressure fluid media containers, and method of filling and discharging the same
US9933842B2 (en) * 2016-04-15 2018-04-03 Emerson Climate Technologies, Inc. Microcontroller architecture for power factor correction converter

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09217689A (en) * 1996-02-14 1997-08-19 Matsushita Electric Ind Co Ltd Scroll gas compressor
JPH09250485A (en) * 1996-03-19 1997-09-22 Hitachi Ltd Inverter drive rotary type compressor
DE19933202A1 (en) * 1999-07-15 2001-01-18 Inst Luft Kaeltetech Gem Gmbh Method for operating multi-phase compressor especially for refrigerating plants uses computer-calculated speed combinations for comparing ideal value and actual value of cold water header temperature for selecting right combination
JP2002364568A (en) * 2001-06-01 2002-12-18 Hitachi Ltd Oilless screw compressor and its controlling method
JP2005069100A (en) * 2003-08-25 2005-03-17 Hitachi Industrial Equipment Systems Co Ltd Unlubricated screw compressor
JP2008185039A (en) * 2008-04-16 2008-08-14 Hitachi Industrial Equipment Systems Co Ltd Oil-free screw compressor
EP3211239A1 (en) * 2015-05-08 2017-08-30 Guangdong Meizhi Compressor Co., Ltd. Crankshaft for rotary compressor, rotary compressor and refrigerating cycle device
CN107013443A (en) * 2016-01-28 2017-08-04 Abb技术有限公司 Load/unload control method and equipment for compressor assembly
CN107842503A (en) * 2017-10-25 2018-03-27 宁波德曼压缩机有限公司 Energy-efficient dual-stage screw air compressor control system
CN108917091A (en) * 2018-09-28 2018-11-30 奥克斯空调股份有限公司 A kind of air conditioner intelligent test method and its air conditioner
CN109026688A (en) * 2018-09-30 2018-12-18 厦门华夏国际电力发展有限公司 A kind of large scale industry air compressor pressure adjusting optimizing redundancy system and method
JP6612412B1 (en) * 2018-10-24 2019-11-27 東京瓦斯株式会社 Compressor
CN110332119A (en) * 2019-07-10 2019-10-15 西安交通大学 A kind of screw type refrigerating compressor start-up course automatic control system and method
CN112377413A (en) * 2020-11-13 2021-02-19 埃尔利德(广东)智能科技有限公司 Air compressor compression work optimization control method, device, equipment and storage medium

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
关于螺杆式空压机变频节能改造研究;王振波;;数码世界(04);全文 *
空压系统节能技术在纺织企业中的应用分析;秦莉;颜苏芊;刘宁;魏世祥;;棉纺织技术(06);全文 *
螺杆式空压机变频节能改造;余万民;王振伟;;化工管理(13);全文 *
螺杆空气压缩机节能技术的验证与分析;卢业坚;;福建农机(01);全文 *

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