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 V1 Actual working pressure P1 ；
A power scaling factor n is calculated from the obtained data,
the calculation formula is n= (V)2 /V1 )*(ln(P2 +PX )/ln(P1 +PX ))，
Wherein P isX At atmospheric pressure, V2 For rated output frequency, P2 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 applicant2 /V1 )*(ln(P2 +PX )/ln(P1 +PX ) 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.
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 V1 Actual working pressure P1 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 /V1 )*(ln(P2 +PX )/ln(P1 +PX ))，
Wherein P isX At atmospheric pressure, V2 For rated output frequency, P2 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 PX Can be set to a constant.
V2 、P2 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 V1 Actual working pressure P1 ；
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 /V1 )*(ln(P2 +PX )/ln(P1 +PX ))，
Wherein P isX At atmospheric pressure, V2 For rated output frequency, P2 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.