CN113281600A - Method and system for detecting residual service life of ion fan - Google Patents
Method and system for detecting residual service life of ion fan Download PDFInfo
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- CN113281600A CN113281600A CN202110600282.9A CN202110600282A CN113281600A CN 113281600 A CN113281600 A CN 113281600A CN 202110600282 A CN202110600282 A CN 202110600282A CN 113281600 A CN113281600 A CN 113281600A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
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- General Physics & Mathematics (AREA)
- Control Of Positive-Displacement Air Blowers (AREA)
- Structures Of Non-Positive Displacement Pumps (AREA)
Abstract
The embodiment of the invention provides a system for detecting the residual service life of an ion fan, which comprises an ion detection network, a charging module, a first statistical module, a second statistical module and an evaluation module, wherein the charging module is used for charging the ion detection network; the ion detection net is used for absorbing charged ions generated by the ion fan; the charging module is electrically connected with the ion detection network; the first statistical module is electrically connected with the ion fan; the second statistical module is electrically connected with the ion detection network; the evaluation module is simultaneously electrically connected with the first statistical module and the second statistical module and is used for calculating the residual service life of the ion fan. The detection system for the residual service life of the ion fan can detect the residual service life of the ion fan in real time, and timely make corresponding control, maintenance and replacement strategies for the ion fan according to the residual service life, so that economic loss caused by failure of the ion fan is effectively avoided.
Description
Technical Field
The invention relates to the technical field of static electricity, in particular to a method and a system for detecting the residual service life of an ion fan.
Background
The ion fan is mainly used for eliminating static electricity of products on a production line in the electronic industry, has good static electricity eliminating performance, and conveys positive ions or negative ions to the products through airflow to neutralize the static charges carried by the products, thereby achieving the effect of eliminating the static electricity.
However, the ion blower used in the production line of the electronic industry lacks a remaining service life detection system, and when the ion blower is used for a long time or in a complex environment, the remaining service life of the ion blower cannot be estimated, and for the ion blower without the remaining service life detection system, if the ion blower fails, the product produced by the production line is exposed to risks, and finally economic loss is caused.
Therefore, it is necessary to provide a method and a system for detecting the remaining service life of an ion blower to solve the above problems.
Disclosure of Invention
In view of the above problems, embodiments of the present invention are proposed to provide a method and a system for detecting the remaining service life of an ion blower that overcome the above problems or at least partially solve the above problems.
In order to solve the above problems, an embodiment of the present invention discloses a system for detecting a remaining service life of an ion blower, which includes:
the ion detection net is used for absorbing charged ions generated by the ion fan;
the charging module is electrically connected with the ion detection network and is used for charging a preset number of electrostatic charges into the ion detection network;
the first counting module is electrically connected with the ion fan and used for counting the number of charged ions currently generated by the ion fan;
the second statistical module is electrically connected with the ion detection network and used for counting the electrostatic charge variation on the ion detection network at intervals of preset time;
and the evaluation module is simultaneously electrically connected with the first statistical module and the second statistical module and is used for calculating the residual service life of the ion fan according to the first statistical value of the first statistical module and the plurality of second statistical values of the second statistical module.
Preferably, the system for detecting the remaining service life of the ion blower further comprises a display module electrically connected with the evaluation module and used for displaying the remaining service life of the ion blower.
Preferably, the system for detecting the remaining service life of the ion blower further comprises a wireless signal transmission module electrically connected with the display module, and the wireless signal transmission module is used for transmitting the remaining service life of the ion blower read by the display module to a preset mobile terminal.
Preferably, the method for calculating the remaining service life of the ion blower according to the first statistical value of the first statistical module and the plurality of second statistical values of the second statistical module specifically includes the following steps:
acquiring a first statistical value of the first statistical module and a plurality of second statistical values of the second statistical module, wherein the first statistical value is the number of charged ions currently generated by the ion blower, and the second statistical value is the electrostatic charge variation on the ion detection network within the preset time;
writing the first statistic value and the plurality of second statistic values into a residual service life prediction algorithm to obtain the residual service life of the ion fan, wherein the residual service life prediction algorithm is as follows: (S) { H- [ (Y1+ Y2.. ·+ Yn)/n ]/}/[ (Y1+ Y2.. ·+ Yn)/n ] × Z, wherein H denotes the first statistical count value; y1, representing a first one of said second statistics; y2, representing a second piece of the second statistic, Yn, representing an nth piece of the second statistic, n representing the number of times of statistics of the second statistic module; and Z represents the preset time length.
Preferably, the step of counting the electrostatic charge variation on the ion detection network every preset time includes the following steps:
acquiring the quantity of electrostatic charges of the ion detection net at the initial point of the preset duration;
acquiring the quantity of electrostatic charges of the ion detection net at the termination point of the preset time;
and subtracting the electrostatic charge quantity of the ion detection net at the termination point of the preset time length from the electrostatic charge quantity of the ion detection net at the initial point of the preset time length to obtain the electrostatic charge variation on the ion detection net.
The embodiment of the invention also discloses a method for detecting the residual service life of the ion fan, which comprises the following steps:
s1, providing an ion detection net for absorbing charged ions generated by the ion blower, and charging a preset amount of electrostatic charges into the ion detection net;
s2, starting the ion fan to generate charged ions, and counting the number of the charged ions currently generated by the ion fan to obtain a first statistical value;
s3, counting the variation of the electrostatic charges on the ion detection network every preset time to obtain a plurality of second statistical values;
and S4, calculating the remaining service life of the ion fan according to the first statistical value and the plurality of second statistical values of the ion fan.
Compared with the prior art, the detection system for the residual service life of the ion fan has the advantages of simple structure, low manufacturing cost, high practicability and easy popularization, realizes automatic detection of the residual service life of the ion fan, does not need manual operation, and greatly improves the detection efficiency. On the other hand, the detection system for the residual service life of the ion fan can detect the residual service life of the ion fan in real time, and can timely make control, maintenance and replacement strategies corresponding to the ion fan according to the residual service life, so that economic loss caused by failure of the ion fan is effectively avoided.
Drawings
FIG. 1 is a schematic structural diagram of a system for detecting the remaining service life of an ion blower according to the present invention;
fig. 2 is a schematic flow chart of the method for detecting the remaining service life of the ion blower according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Referring to fig. 1, the present invention provides a system for detecting a remaining service life of an ion blower, which includes an ion detection network 1, a charging module 2, a first statistical module 3, a second statistical module 4, and an evaluation module 5.
The ion detection net 1 is used for absorbing charged ions generated by the ion fan A; the charging module 2 is electrically connected with the ion detection network 1 and is used for charging a preset number of electrostatic charges into the ion detection network 1; the first statistical module 3 is electrically connected with the ion blower a and is used for counting the number of charged ions currently generated by the ion blower a; the second statistical module 4 is electrically connected with the ion detection network 1 and is used for counting the electrostatic charge variation on the ion detection network 1 every preset time; the evaluation module 5 is electrically connected to the first statistical module 3 and the second statistical module 4, and is configured to calculate the remaining service life of the ion blower a according to the first statistical value of the first statistical module 3 and the plurality of second statistical values of the second statistical module 4.
Above-mentioned ionic wind machine surplus life's detecting system's simple structure, low in manufacturing cost is honest and clean, and the practicality is high, easily promotes, and has realized automated inspection ionic wind machine A's surplus life, need not pass through manual operation, very big improvement detection efficiency. On the other hand, the detection system for the residual service life of the ion fan can detect the residual service life of the ion fan A in real time, and can timely make control, maintenance and replacement strategies corresponding to the ion fan A according to the residual service life, so that economic loss caused by failure of the ion fan A is effectively avoided.
In this embodiment, the system for detecting the remaining service life of the ion blower further includes a display module 6 electrically connected to the evaluation module 5, and configured to display the remaining service life of the ion blower a. The setting of this structure has realized that remaining life with ionic wind machine A is visual, makes things convenient for the measurement personnel to read, and then has improved user experience degree.
It is worth mentioning that the detection system for the remaining service life of the ion blower is further provided with a wireless signal transmission module 7 electrically connected with the display module 6, and is used for transmitting the remaining service life of the ion blower a read by the display module 6 to a preset mobile terminal. For example, the user can read the remaining service life of the ion blower a at any time on mobile equipment such as a mobile phone, and the user experience is further improved.
Specifically, the step of counting the electrostatic charge variation on the ion detection network 1 every preset time includes the following steps: acquiring the quantity of electrostatic charges of the ion detection net 1 at the initial point of the preset duration; acquiring the quantity of electrostatic charges of the termination point of the ion detection net 1 in the preset time; and subtracting the electrostatic charge quantity of the ion detection net 1 at the termination point of the preset time length from the electrostatic charge quantity of the ion detection net 1 at the initial point of the preset time length to obtain the electrostatic charge variation of the ion detection net 1.
Further, the method for calculating the remaining service life of the ion blower a according to the first statistical value of the first statistical module 3 and the plurality of second statistical values of the second statistical module 4 specifically includes the following steps: acquiring a first statistical value of the first statistical module 3 and a plurality of second statistical values of the second statistical module 4, wherein the first statistical value is the number of charged ions currently generated by the ion blower a, and the second statistical value is the electrostatic charge variation on the ion detection grid 1 within the preset time; writing the first statistic value and the plurality of second statistic values into a residual service life prediction algorithm to obtain the residual service life of the ion fan A, wherein the residual service life prediction algorithm is as follows: (S) { H- [ (Y1+ Y2.. ·+ Yn)/n ]/}/[ (Y1+ Y2.. ·+ Yn)/n ] × Z, wherein H denotes the first statistical count value; y1, representing a first one of said second statistics; y2, representing a second piece of the second statistic, Yn, representing an nth piece of the second statistic, n representing the number of times of statistics of the second statistic module; and Z represents the preset time length.
Compared with the prior art, the detection system for the residual service life of the ion fan has the advantages of simple structure, low manufacturing cost, high practicability and easy popularization, realizes automatic detection of the residual service life of the ion fan, does not need manual operation, and greatly improves the detection efficiency. On the other hand, the detection system for the residual service life of the ion fan can detect the residual service life of the ion fan in real time, and can timely make control, maintenance and replacement strategies corresponding to the ion fan according to the residual service life, so that economic loss caused by failure of the ion fan is effectively avoided.
Fig. 2 is a schematic flow chart of a method for detecting the remaining service life of an ion blower according to the present invention, where the method includes the following steps:
s1, providing an ion detection net for absorbing charged ions generated by the ion blower, and charging a preset amount of electrostatic charges into the ion detection net;
s2, starting the ion fan to generate charged ions, and counting the number of the charged ions currently generated by the ion fan to obtain a first statistical value;
s3, counting the variation of the electrostatic charges on the ion detection network every preset time to obtain a plurality of second statistical values;
and S4, calculating the remaining service life of the ion fan according to the first statistical value and the plurality of second statistical values of the ion fan.
As for the method embodiment, since it is basically similar to the system embodiment, the description is simple, and the relevant points can be referred to the partial description of the system embodiment.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The method and the system for detecting the residual service life of the ion fan are described in detail, specific examples are applied in the method to explain the principle and the implementation mode of the invention, and the description of the examples is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (6)
1. The utility model provides a detection system of surplus life of ionic wind machine which characterized in that, this system includes:
the ion detection net is used for absorbing charged ions generated by the ion fan;
the charging module is electrically connected with the ion detection network and is used for charging a preset number of electrostatic charges into the ion detection network;
the first counting module is electrically connected with the ion fan and used for counting the number of charged ions currently generated by the ion fan;
the second statistical module is electrically connected with the ion detection network and used for counting the electrostatic charge variation on the ion detection network at intervals of preset time;
and the evaluation module is simultaneously electrically connected with the first statistical module and the second statistical module and is used for calculating the residual service life of the ion fan according to the first statistical value of the first statistical module and the plurality of second statistical values of the second statistical module.
2. The system for detecting the remaining service life of the ion blower according to claim 1, further comprising a display module electrically connected to the evaluation module for displaying the remaining service life of the ion blower.
3. The system for detecting the remaining service life of the ion blower according to claim 2, further comprising a wireless signal transmission module electrically connected to the display module, and configured to transmit the remaining service life of the ion blower read by the display module to a preset mobile terminal.
4. The system for detecting the remaining service life of the ion blower according to claim 1, wherein the step of calculating the remaining service life of the ion blower according to the first statistical value of the first statistical module and the plurality of second statistical values of the second statistical module specifically includes the following steps:
acquiring a first statistical value of the first statistical module and a plurality of second statistical values of the second statistical module, wherein the first statistical value is the number of charged ions currently generated by the ion blower, and the second statistical value is the electrostatic charge variation on the ion detection network within the preset time;
writing the first statistic value and the plurality of second statistic values into a residual service life prediction algorithm to obtain the residual service life of the ion fan, wherein the residual service life prediction algorithm is as follows: (S) { H- [ (Y1+ Y2.. ·+ Yn)/n ]/}/[ (Y1+ Y2.. ·+ Yn)/n ] × Z, wherein H denotes the first statistical count value; y1, representing a first one of said second statistics; y2, representing a second piece of the second statistic, Yn, representing an nth piece of the second statistic, n representing the number of times of statistics of the second statistic module; and Z represents the preset time length.
5. The system for detecting the remaining service life of the ion blower according to claim 1, wherein the system for counting the electrostatic charge variation on the ion detection network every preset time specifically comprises the following steps:
acquiring the quantity of electrostatic charges of the ion detection net at the initial point of the preset duration;
acquiring the quantity of electrostatic charges of the ion detection net at the termination point of the preset time;
and subtracting the electrostatic charge quantity of the ion detection net at the termination point of the preset time length from the electrostatic charge quantity of the ion detection net at the initial point of the preset time length to obtain the electrostatic charge variation on the ion detection net.
6. The method for detecting the residual service life of the ion fan is characterized by comprising the following steps of:
s1, providing an ion detection net for absorbing charged ions generated by the ion blower, and charging a preset amount of electrostatic charges into the ion detection net;
s2, starting the ion fan to generate charged ions, and counting the number of the charged ions currently generated by the ion fan to obtain a first statistical value;
s3, counting the variation of the electrostatic charges on the ion detection network every preset time to obtain a plurality of second statistical values;
and S4, calculating the remaining service life of the ion fan according to the first statistical value and the plurality of second statistical values of the ion fan.
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