CN111734614B - Operation optimization method and device for air compressor system - Google Patents
Operation optimization method and device for air compressor system Download PDFInfo
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- CN111734614B CN111734614B CN202010494267.6A CN202010494267A CN111734614B CN 111734614 B CN111734614 B CN 111734614B CN 202010494267 A CN202010494267 A CN 202010494267A CN 111734614 B CN111734614 B CN 111734614B
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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
- F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
- F04B49/007—Installations or systems with two or more pumps or pump cylinders, wherein the flow-path through the stages can be changed, e.g. from series to parallel
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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
- F04B41/00—Pumping installations or systems specially adapted for elastic fluids
- F04B41/06—Combinations of two or more pumps
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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
- F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
- F04B49/06—Control using electricity
- F04B49/065—Control using electricity and making use of computers
Abstract
The invention is suitable for the technical field of energy-saving optimization of air compressor systems, and provides an air compressor system operation optimization method and device, wherein the method comprises the following steps: collecting the air consumption of an air compressor system; determining the reference capacity of the air compressor system according to the air consumption; according to the reference capacity, one air compressor in the air compressor system is set as a reference air compressor, and the other air compressors are peak shaving air compressors; and respectively executing preset operation rules on the reference air compressor and the peak shaving air compressor to complete the optimization of the air compressor system. According to the method, all air compressors of the air compressor system are divided into the reference air compressor and the peak-shaving air compressor in a software optimization mode, different operation rules are respectively executed, and the loading/unloading work of each air compressor is adjusted in a targeted manner, so that the reference air compressor can be kept at a level close to the reference capacity of the air compressor system, the state of the peak-shaving air compressor is adjusted more optimally, the air compressors are prevented from being frequently loaded/unloaded while the system is stably operated, and the energy consumption waste of the whole system is reduced.
Description
Technical Field
The invention belongs to the technical field of energy-saving optimization of air compressor systems, and particularly relates to an operation optimization method and device of an air compressor system.
Background
The air compressor is the necessary public auxiliary equipment in many system molding factories, and the mill is usually unstable when using compressed air, so can lead to the frequent work of loading and uninstallation of air compressor, not only can cause the waste of very big resource, also can cause the loss of equipment simultaneously, therefore the optimization operation of air compressor is the work of the key focus of many enterprises. The optimization of the air compressor generally has two aspects, the first is to perform frequency conversion adjustment on the air compressor, and the real-time monitoring and dynamic control of an air compressor system are realized by adding a frequency conversion control module; and the second method is to carry out system transformation, reduce the fluctuation frequency of the air compressor by adding an air storage tank and realize the optimization of the air compressor. However, in practical operation, the electric energy consumed by the loading and unloading of the air compressor is about 40% of the energy consumption of the air compressor, and the waste of the electric energy is very serious due to frequent loading/unloading.
Therefore, although the air compressor system can be optimized by adding the variable frequency control module and modifying the air compressor system, the control module is added to increase extra investment cost, whether the return on investment is needed to be measured and calculated or not can be realized, the modification of the air compressor system can relieve the loading and unloading of the air compressor to a certain extent, and the phenomenon of starting and stopping the air compressor still exists. Therefore, these two methods still have some disadvantages and need to be solved.
Disclosure of Invention
In view of this, the embodiment of the invention provides an air compressor system operation optimization method and device, which are implemented in a software operation optimization manner without adding new hardware devices such as a variable frequency control module and an air storage tank, so that the modification cost is greatly reduced.
The first aspect of the embodiment of the invention provides an air compressor system operation optimization method, which comprises the following steps:
collecting the air consumption of an air compressor system;
determining the reference capacity of the air compressor system according to the air consumption;
according to the reference capacity, one air compressor in the air compressor system is set as a reference air compressor, and the other air compressors are peak shaving air compressors;
and respectively executing preset operation rules on the reference air compressor and the peak shaving air compressor to complete the optimization of the air compressor system.
In one embodiment, the step of setting one air compressor in the air compressor system as a reference air compressor and the remaining air compressors as peak shaving air compressors according to the reference capacity includes:
judging whether an air compressor meeting the reference capacity condition exists in the air compressor system or not according to the reference capacity;
if the air compressors meeting the standard capacity condition exist, setting all the air compressors meeting the standard capacity condition as standard capacity air compressors, and setting one of the standard capacity air compressors as a standard air compressor and the rest of the air compressors in the air compressor system as peak shaving air compressors according to a first setting condition;
and if the air compressors which meet the reference capacity condition do not exist, one air compressor in the air compressor system is set as the reference air compressor according to a second set condition, and the other air compressors are peak shaving air compressors.
In one embodiment, the step of determining whether there is an air compressor meeting a reference capacity condition in the air compressor system according to the reference capacity includes:
drawing a gas consumption curve of the air compressor system according to the gas consumption;
correspondingly drawing the displacement of each air compressor in the air compressor system into a line graph of the air consumption curve;
calculating the area of the overlapped part of the area occupied by the air displacement of any one air compressor in the line graph and the area occupied by the air consumption curve;
and judging whether the area of the overlapped part meets the standard capacity condition or not.
In one embodiment, the reference capacity condition is:
and the ratio of the area of the overlapped part to the area occupied by the air consumption curve is larger than a reference threshold value.
In one embodiment, the first setting condition is:
and comparing the air displacement of all the reference capacity air compressors, setting the reference capacity air compressor with the maximum air displacement as a reference air compressor, and setting the rest air compressors in the air compressor system as peak shaving air compressors.
In one embodiment, the second setting condition is:
and comparing the air displacement of all the air compressors, setting the air compressor with the minimum air displacement as a reference air compressor, and setting the rest air compressors in the air compressor system as peak shaving air compressors.
In one embodiment, the preset operation rule is:
and setting the pressure of the reference air compressor as working pressure, and carrying out inverse proportion capacity adjustment on the peak shaving air compressor.
A second aspect of an embodiment of the present invention provides an air compressor system operation optimization apparatus, including:
the collection module is used for collecting the air consumption of the air compressor system;
the reference determining module is used for determining the reference capacity of the air compressor system according to the air consumption;
the first setting module is used for setting one air compressor in the air compressor system as a reference air compressor and the other air compressors as peak shaving air compressors according to the reference capacity;
and the rule execution module is used for respectively executing preset operation rules on the reference air compressor and the peak shaving air compressor to complete the optimization of the air compressor system.
A third aspect of the embodiments of the present invention provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method when executing the computer program.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the above-described method.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, all air compressors of the air compressor system are divided into the reference air compressor and the peak-shaving air compressor in a software optimization mode, different operation rules are respectively executed, the loading and unloading work of each air compressor can be adjusted in a targeted manner, the reference air compressor can be kept at a level close to the reference capacity of the air compressor system, and the working state of the peak-shaving air compressor can be adjusted more optimally, so that the whole system can operate stably, frequent loading/unloading of a plurality of air compressors is avoided, and the energy consumption waste of the whole system is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic illustration of operation of an exemplary air press in relation to power consumption;
fig. 2 is a schematic flow chart of an operation optimization method of an air compressor system according to an embodiment of the present invention;
fig. 3 is a schematic flow chart illustrating a step of setting one air compressor in the air compressor system as a reference air compressor and the other air compressors as peak shaving air compressors according to the reference capacity in the operation optimization method for the air compressor system according to the embodiment of the present invention;
fig. 4 is a schematic flow chart illustrating a step of determining whether there is an air compressor meeting a reference capacity condition in the air compressor system according to the reference capacity in the operation optimization method for the air compressor system according to the embodiment of the present invention;
fig. 5 is a schematic diagram of a gas consumption curve and the displacement of each air compressor in the air compressor system according to the embodiment of the present invention;
fig. 6 is a schematic diagram of an operation optimization device of an air compressor system according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention, are within the scope of the invention. Unless otherwise specified, the technical means used in the examples are conventional means well known to those skilled in the art.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
As can be seen from the relationship diagram of operation and power consumption of 2 air compressors of a certain plant shown in fig. 1, when loading, the air compressor is in a heavy-duty state, and when unloading, the air compressor is in an empty-duty state, the power consumption of the 2 air compressors in the heavy-duty state and the empty-duty state in the diagram is respectively 38% and 71%, especially for the 2 nd air compressor, the power waste is very serious, and the capacity-regulation state during normal and stable operation only occupies six power consumptions at most, so that most of the power is consumed in the meaningless loading and unloading process, which causes the energy waste. If all the air compressors can be maintained in the capacity adjusting state as much as possible, the energy consumption of loading/unloading can be greatly reduced, so that the aim of the invention is to adjust the working states of the air compressors more while ensuring the stable operation of the system and avoid the frequent loading or unloading of the air compressors.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
The first embodiment is as follows:
referring to fig. 2, a method for optimizing operation of an air compressor system according to an embodiment of the present invention includes:
step S11: collecting the air consumption of an air compressor system;
step S12: determining the reference capacity of the air compressor system according to the air consumption;
step S13: according to the reference capacity, one air compressor in the air compressor system is set as a reference air compressor, and the other air compressors are peak shaving air compressors;
step S14: and respectively executing preset operation rules on the reference air compressor and the peak shaving air compressor to complete the optimization of the air compressor system.
In the embodiment, all air compressors of the air compressor system are divided into the reference air compressor and the peak shaving air compressor in a software optimization mode, and the reference air compressor is the air compressor closest to the whole operation state of the system, so that the reference air compressor can be kept in a capacity adjusting state most of the time, and other air compressors have more or less loading or unloading states.
The reference capacity is a gas consumption reference which is set by the embodiment and can ensure the stable operation of the air compressor system, for example, 80% of the total gas consumption of the system in a period of time is set as the reference capacity, and the air compressor which meets the condition can be regarded as the reference air compressor.
The invention does not need to add new hardware equipment such as a variable frequency control module, an air storage tank and the like, but is realized by a software operation optimization mode, and the modification cost is very low. Particularly, when the method is applied to an energy network platform based on big data, all energy data of a user are uploaded and bound to the platform in advance and in real time, the platform can help the user to obtain historical data quickly, an optimization strategy is formulated quickly, the user can complete operation optimization of the air compressor system only by initiating a request once, and a large amount of time and labor cost are saved.
Preferably, in this embodiment, the step S13: according to the reference capacity, one air compressor in the air compressor system is set as a reference air compressor, and the rest of the air compressors are peak shaving air compressors, which can be shown in fig. 3 and include:
step S131: judging whether an air compressor meeting the standard capacity condition exists in the air compressor system according to the standard capacity, if so, entering step S132, and if not, entering step S133;
step S132: setting all air compressors meeting the reference capacity condition as reference capacity air compressors, and setting one of the reference capacity air compressors as a reference air compressor and the rest of the air compressors in the air compressor system as peak shaving air compressors according to a first setting condition;
step S133: and according to a second set condition, setting one air compressor in the air compressor system as a reference air compressor, and setting the other air compressors as peak shaving air compressors.
The reference capacity condition is a condition for primarily screening the air compressors, the air compressors meeting the reference capacity condition can be regarded as the reference capacity air compressors, the most appropriate air compressor is found out from all the reference capacity air compressors to serve as the reference air compressor, if all the air compressors do not meet the reference capacity condition, only the better one of the air compressors can be set to serve as the reference air compressor, different conditions are set for secondary screening in the two conditions, and therefore the optimization strategy which is most close to the air compressor system is found out.
Preferably, in this embodiment, the first setting condition may be:
and comparing the air displacement of all the reference capacity air compressors, setting the reference capacity air compressor with the maximum air displacement as a reference air compressor, and setting the rest air compressors in the air compressor system as peak shaving air compressors.
Because all the air compressors with the reference capacity accord with the reference operation condition of the system, in order to avoid that excessive air compressors are in an unloaded empty state, one air compressor closest to the operation state of the system needs to be selected as the reference air compressor, namely the air compressor with the largest displacement, so that the rest air compressors are more in a capacity adjusting state in subsequent adjustment rather than the empty state, and the energy waste in the loading/unloading process is reduced.
Preferably, in this embodiment, the second setting condition may be:
and comparing the air displacement of all the air compressors, setting the air compressor with the minimum air displacement as a reference air compressor, and setting the rest air compressors in the air compressor system as peak shaving air compressors.
Similarly, when all the air compressors cannot reach the reference state of the system operation, at this time, all the air compressors are likely to be in the loaded heavy-duty state, so that one air compressor with the minimum displacement needs to be set as the reference air compressor to reduce the time of the heavy-duty state, so that the other air compressors in the subsequent adjustment can be properly reduced in loading time, and more air compressors are in the capacity adjustment state.
Referring to fig. 4, in this embodiment, the step S131: according to the reference capacity, judging whether the air compressor meeting the reference capacity condition exists in the air compressor system may include:
step S1311: drawing a gas consumption curve of the air compressor system according to the gas consumption;
step S1312: correspondingly drawing the displacement of each air compressor in the air compressor system into a line graph of the air consumption curve;
step S1313: calculating the area of the overlapped part of the area occupied by the air displacement of any one air compressor in the line graph and the area occupied by the air consumption curve;
step S1314: judging whether the area of the overlapped part meets a reference capacity condition, if so, entering a step S132, and if not, entering a step S133;
step S132: setting all air compressors meeting the reference capacity condition as reference capacity air compressors, and setting one of the reference capacity air compressors as a reference air compressor and the rest of the air compressors in the air compressor system as peak shaving air compressors according to a first setting condition;
step S133: and according to a second set condition, setting one air compressor in the air compressor system as a reference air compressor, and setting the other air compressors as peak shaving air compressors.
The air consumption curve and the air displacement of each air compressor in the air compressor system can be seen in fig. 5, wherein the part below the air consumption curve is the area occupied by the air consumption curve, the area occupied by the air displacement of each air compressor is the part below the corresponding air displacement line, the air displacement of any one air compressor is intersected with the air consumption curve, the occupied area also has an overlapping part, and the area of the overlapping part can be regarded as the air displacement area of the air compressor in the actual operation of the system.
Wherein the reference capacity condition may preferably be set as:
and the ratio of the area of the overlapped part to the area occupied by the air consumption curve is larger than a reference threshold value.
The reference threshold value may preferably be set to 80%.
Preferably, the preset operation rule in this embodiment may be set as:
and setting the pressure of the reference air compressor as working pressure, and carrying out inverse proportion capacity adjustment on the peak shaving air compressor.
The standard that represents regard benchmark air compressor machine as system operation, the other air compressors are the inverse proportion and are held the accent, and specific holds the accent content and can be:
the working pressure of the equipment for the field instrument is generally
The pressure of the capacity adjustment action of the inverse proportional valve of the peak shaving air compressor can be set to be higher than 0.65MPa, namely when the pressure of the peak shaving air compressor is higher than 0.65MPa, the compressor starts capacity adjustment, the air volume output is reduced, and the pressure of a compressed air main pipe is maintained at the pressure
Example two:
referring to fig. 6, an embodiment of the present invention provides an air compressor system operation optimization apparatus, including: the system comprises an acquisition module 21, a reference determination module 22, a first setting module 23 and a rule execution module 24, wherein the acquisition module 21 is used for acquiring the air consumption of the air compressor system;
the reference determining module 22 is configured to determine a reference capacity of the air compressor system according to the air consumption;
the first setting module 23 is configured to set one air compressor in the air compressor system as a reference air compressor and set the other air compressors as peak shaving air compressors according to the reference capacity;
the rule execution module 24 is configured to execute preset operation rules on the reference air compressor and the peak shaving air compressor respectively, so as to complete optimization of an air compressor system.
Fig. 7 is a schematic diagram of the terminal device 3 according to an embodiment of the present invention. As shown in fig. 7, the terminal device 3 of this embodiment includes a processor 31, a memory 31, and a computer program 32, such as an air compressor system operation optimization program, stored in the memory 31 and operable on the processor 31. The processor 30, when executing the computer program 32, implements the steps in the various method embodiments described above, such as the steps S11-S14 shown in fig. 1. Alternatively, the processor 30, when executing the computer program 32, implements the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the modules 21 to 24 shown in fig. 6.
Illustratively, the computer program 32 may be partitioned into one or more modules/units that are stored in the memory 31 and executed by the processor 30 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 32 in the terminal device 3.
The terminal device 3 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device 3 may include, but is not limited to, a processor 30 and a memory 31. It will be understood by those skilled in the art that fig. 7 is only an example of the terminal device 3, and does not constitute a limitation to the terminal device 3, and may include more or less components than those shown, or combine some components, or different components, for example, the terminal device 3 may further include an input-output device, a network access device, a bus, etc.
The Processor 30 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 31 may be an internal storage unit of the terminal device 3, such as a hard disk or a memory of the terminal device 3. The memory 31 may also be an external storage device of the terminal device 3, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 3. Further, the memory 31 may also include both an internal storage unit and an external storage device of the terminal device 3. The memory 31 is used for storing the computer programs and other programs and data required by the terminal device 3. The memory 31 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Of course, the units and modules may be replaced by a processor containing a computer program, and the work of each part can be completed in a pure software form.
Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (9)
1. An operation optimization method of an air compressor system is characterized by comprising the following steps:
collecting the air consumption of an air compressor system;
determining the reference capacity of the air compressor system according to the air consumption;
according to the reference capacity, one air compressor in the air compressor system is set as a reference air compressor, and the other air compressors are peak shaving air compressors;
respectively executing preset operation rules on the reference air compressor and the peak shaving air compressor to complete optimization of an air compressor system;
the step of setting one air compressor in the air compressor system as a reference air compressor and the rest air compressors as peak shaving air compressors according to the reference capacity comprises the following steps:
judging whether an air compressor meeting the reference capacity condition exists in the air compressor system or not according to the reference capacity;
if the air compressors meeting the standard capacity condition exist, setting all the air compressors meeting the standard capacity condition as standard capacity air compressors, and setting one of the standard capacity air compressors as a standard air compressor and the rest of the air compressors in the air compressor system as peak shaving air compressors according to a first setting condition;
and if the air compressors which meet the reference capacity condition do not exist, one air compressor in the air compressor system is set as the reference air compressor according to a second set condition, and the other air compressors are peak shaving air compressors.
2. The air compressor system operation optimization method according to claim 1, wherein the step of determining whether there is an air compressor meeting a reference capacity condition in the air compressor system according to the reference capacity includes:
drawing a gas consumption curve of the air compressor system according to the gas consumption;
correspondingly drawing the displacement of each air compressor in the air compressor system into a line graph of the air consumption curve;
calculating the area of the overlapped part of the area occupied by the air displacement of any one air compressor in the line graph and the area occupied by the air consumption curve;
and judging whether the area of the overlapped part meets the standard capacity condition or not.
3. The air compressor system operation optimization method of claim 2, wherein the reference capacity condition is:
and the ratio of the area of the overlapped part to the area occupied by the air consumption curve is larger than a reference threshold value.
4. The air compressor system operation optimization method according to claim 1, wherein the first setting condition is:
and comparing the air displacement of all the reference capacity air compressors, setting the reference capacity air compressor with the maximum air displacement as a reference air compressor, and setting the rest air compressors in the air compressor system as peak shaving air compressors.
5. The air compressor system operation optimization method according to claim 1, wherein the second setting condition is:
and comparing the air displacement of all the air compressors, setting the air compressor with the minimum air displacement as a reference air compressor, and setting the rest air compressors in the air compressor system as peak shaving air compressors.
6. The air compressor system operation optimization method according to claim 1, wherein the preset operation rules are:
and setting the pressure of the reference air compressor as working pressure, and carrying out inverse proportion capacity adjustment on the peak shaving air compressor.
7. The utility model provides an air compressor machine system operation optimizing apparatus which characterized in that includes:
the collection module is used for collecting the air consumption of the air compressor system;
the reference determining module is used for determining the reference capacity of the air compressor system according to the air consumption;
the first setting module is used for setting one air compressor in the air compressor system as a reference air compressor and the other air compressors as peak shaving air compressors according to the reference capacity; specifically, the method comprises the following steps: judging whether an air compressor meeting the reference capacity condition exists in the air compressor system or not according to the reference capacity; if the air compressors meeting the standard capacity condition exist, setting all the air compressors meeting the standard capacity condition as standard capacity air compressors, and setting one of the standard capacity air compressors as a standard air compressor and the rest of the air compressors in the air compressor system as peak shaving air compressors according to a first setting condition; if the air compressors meeting the reference capacity condition do not exist, one air compressor in the air compressor system is set as the reference air compressor according to a second set condition, and the other air compressors are peak shaving air compressors;
and the rule execution module is used for respectively executing preset operation rules on the reference air compressor and the peak shaving air compressor to complete the optimization of the air compressor system.
8. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 6 when executing the computer program.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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| CN1344866A (en) * | 2000-09-20 | 2002-04-17 | 株式会社日立制作所 | Screw compressor and its running method |
| CN1534242A (en) * | 2003-04-02 | 2004-10-06 | 张沈杰 | Variable capacity central air conditioner |
| CN110730738A (en) * | 2017-06-13 | 2020-01-24 | 克诺尔轨道车辆系统有限公司 | Method and device for controlling a compressed air supply device |
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| US7127901B2 (en) * | 2001-07-20 | 2006-10-31 | Brooks Automation, Inc. | Helium management control system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1344866A (en) * | 2000-09-20 | 2002-04-17 | 株式会社日立制作所 | Screw compressor and its running method |
| CN1534242A (en) * | 2003-04-02 | 2004-10-06 | 张沈杰 | Variable capacity central air conditioner |
| CN110730738A (en) * | 2017-06-13 | 2020-01-24 | 克诺尔轨道车辆系统有限公司 | Method and device for controlling a compressed air supply device |
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