CN117370713A - Pretreatment equipment for workpiece before electroplating - Google Patents

Pretreatment equipment for workpiece before electroplating Download PDF

Info

Publication number
CN117370713A
CN117370713A CN202311650167.8A CN202311650167A CN117370713A CN 117370713 A CN117370713 A CN 117370713A CN 202311650167 A CN202311650167 A CN 202311650167A CN 117370713 A CN117370713 A CN 117370713A
Authority
CN
China
Prior art keywords
cleaning
monitoring
moment
data
time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202311650167.8A
Other languages
Chinese (zh)
Other versions
CN117370713B (en
Inventor
王书庆
曾子豪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
WUXI CHUXIN ENVIRONMENT PROTECTION EQUIPMENT CO Ltd
Original Assignee
WUXI CHUXIN ENVIRONMENT PROTECTION EQUIPMENT CO Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by WUXI CHUXIN ENVIRONMENT PROTECTION EQUIPMENT CO Ltd filed Critical WUXI CHUXIN ENVIRONMENT PROTECTION EQUIPMENT CO Ltd
Priority to CN202311650167.8A priority Critical patent/CN117370713B/en
Publication of CN117370713A publication Critical patent/CN117370713A/en
Application granted granted Critical
Publication of CN117370713B publication Critical patent/CN117370713B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B08CLEANING
    • B08BCLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
    • B08B3/00Cleaning by methods involving the use or presence of liquid or steam
    • B08B3/04Cleaning involving contact with liquid
    • B08B3/08Cleaning involving contact with liquid the liquid having chemical or dissolving effect
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B08CLEANING
    • B08BCLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
    • B08B3/00Cleaning by methods involving the use or presence of liquid or steam
    • B08B3/04Cleaning involving contact with liquid
    • B08B3/10Cleaning involving contact with liquid with additional treatment of the liquid or of the object being cleaned, e.g. by heat, by electricity or by vibration
    • B08B3/14Removing waste, e.g. labels, from cleaning liquid; Regenerating cleaning liquids
    • CCHEMISTRY; METALLURGY
    • C23COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; CHEMICAL SURFACE TREATMENT; DIFFUSION TREATMENT OF METALLIC MATERIAL; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL; INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION IN GENERAL
    • C23GCLEANING OR DE-GREASING OF METALLIC MATERIAL BY CHEMICAL METHODS OTHER THAN ELECTROLYSIS
    • C23G1/00Cleaning or pickling metallic material with solutions or molten salts
    • C23G1/36Regeneration of waste pickling liquors
    • CCHEMISTRY; METALLURGY
    • C23COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; CHEMICAL SURFACE TREATMENT; DIFFUSION TREATMENT OF METALLIC MATERIAL; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL; INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION IN GENERAL
    • C23GCLEANING OR DE-GREASING OF METALLIC MATERIAL BY CHEMICAL METHODS OTHER THAN ELECTROLYSIS
    • C23G3/00Apparatus for cleaning or pickling metallic material
    • CCHEMISTRY; METALLURGY
    • C25ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
    • C25DPROCESSES FOR THE ELECTROLYTIC OR ELECTROPHORETIC PRODUCTION OF COATINGS; ELECTROFORMING; APPARATUS THEREFOR
    • C25D5/00Electroplating characterised by the process; Pretreatment or after-treatment of workpieces
    • C25D5/34Pretreatment of metallic surfaces to be electroplated
    • C25D5/36Pretreatment of metallic surfaces to be electroplated of iron or steel
    • 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
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P10/00Technologies related to metal processing
    • Y02P10/20Recycling

Landscapes

  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • General Chemical & Material Sciences (AREA)
  • Organic Chemistry (AREA)
  • Metallurgy (AREA)
  • Physics & Mathematics (AREA)
  • Materials Engineering (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Electrochemistry (AREA)
  • Mathematical Analysis (AREA)
  • Software Systems (AREA)
  • Computational Mathematics (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Cleaning By Liquid Or Steam (AREA)

Abstract

The invention relates to the technical field of workpiece cleaning, in particular to pretreatment equipment before workpiece electroplating, which comprises a washing liquid monitoring and analyzing module, wherein the washing liquid monitoring and analyzing module comprises a data acquisition module, a data analysis control chip and a washing liquid cleaning module; the data analysis control chip analyzes and processes the monitoring data acquired by the data acquisition module in real time to obtain monitoring weights and monitoring coefficients, and the cleaning monitoring indexes of each moment in a set time period of workpiece cleaning are obtained by combining the monitoring weights and the monitoring coefficients; judging whether rust cleaning operation is carried out on the cleaning liquid according to the cleaning monitoring index, if yes, generating a control instruction, feeding back the control instruction to the cleaning liquid cleaning module, and executing the rust cleaning operation on the cleaning liquid by the cleaning liquid cleaning module. The invention has higher treatment efficiency on the cleaning liquid.

Description

Pretreatment equipment for workpiece before electroplating
Technical Field
The invention relates to the technical field of cleaning treatment before workpiece electroplating, in particular to pretreatment equipment before workpiece electroplating.
Background
With the development of science and technology, various mechanical devices are widely used in daily life of people, and the unit instrument forming the most basic of the mechanical devices is a workpiece, so that electroplating the workpiece is one of the most important steps in the workpiece production process, and the service life of the workpiece can be longer. In order to make the electroplating effect on the workpiece better in the electroplating process, the workpiece needs to be pretreated before the workpiece is electroplated, for example, the pretreatment operation of derusting or removing impurities before the workpiece is electroplated can ensure the cleanliness and smoothness of the surface of the workpiece and is beneficial to the electroplating operation. When the existing equipment performs rust removal before electroplating a workpiece, a large amount of rust impurities are often cleaned and accumulated in the cleaning liquid. Furthermore, as the cleaning solution is operated for a long time, a lot of impurities remain in the cleaning solution, so that the cleaning effect of the workpiece is poor, the cleaning solution needs to be treated in order to ensure the cleaning efficiency, the existing equipment is used for replacing or cleaning the cleaning solution at a fixed time, but due to the fact that the time is fixed, the condition that the cleaning solution is not treated timely possibly exists, and the cleaning effect of the surface of the workpiece is poor.
Disclosure of Invention
In order to solve the technical problem that the cleaning effect of the surface of a workpiece is poor due to the fact that the existing equipment is not timely treated by cleaning liquid, the invention aims to provide pretreatment equipment for the workpiece before electroplating, and the adopted technical scheme is as follows:
the pretreatment equipment comprises a cleaning fluid rust cleaning equipment body, wherein the cleaning fluid rust cleaning equipment body comprises a cleaning fluid monitoring and analyzing module, the cleaning fluid monitoring and analyzing module is arranged on the cleaning fluid rust cleaning equipment body, and the cleaning fluid monitoring and analyzing module comprises a data acquisition module, a data analysis control chip and a cleaning fluid cleaning module;
the data acquisition module is connected with the signal input end of the data analysis control chip, the signal output end of the data analysis control chip is connected with the cleaning liquid cleaning module, and the cleaning liquid cleaning module is used for performing rust cleaning operation on cleaning liquid; the data acquisition module is used for acquiring monitoring data in real time and transmitting the monitoring data to the data analysis control chip, wherein the monitoring data comprise cleaning liquid monitoring data at each moment in a set time period for cleaning a workpiece and standard monitoring data at each moment in a set time period for not cleaning the workpiece;
obtaining monitoring weight of each moment according to the difference condition between the cleaning liquid monitoring data of each moment and the standard monitoring data of the corresponding moment; obtaining a monitoring coefficient of each moment according to the fluctuation condition of the difference between the cleaning liquid monitoring data of each moment in the neighborhood time range;
acquiring a cleaning monitoring index of each moment in a set time period of workpiece cleaning by combining the monitoring weight and the monitoring coefficient; judging whether rust cleaning operation is carried out on the cleaning liquid according to the cleaning monitoring index, if yes, generating a control instruction, feeding back the control instruction to the cleaning liquid cleaning module, and executing the rust cleaning operation on the cleaning liquid by the cleaning liquid cleaning module;
obtaining a monitoring coefficient of each moment according to the fluctuation condition of the difference between the cleaning liquid monitoring data of each moment in the neighborhood time range, wherein the monitoring coefficient specifically comprises the following steps:
for any moment, recording the monitoring data of the cleaning liquid at each moment in the preset time length before the moment as monitoring data to be processed, and obtaining a monitoring coefficient of any moment according to the difference between the monitoring data to be processed at every two adjacent moments in the preset time length;
the calculation formula of the monitoring coefficient is specifically as follows:
wherein,monitoring coefficient indicating the t-th moment in the set time period,/->Indicating the number of times involved in the preset length of time, < +.>Representing the monitored data to be processed at the ith moment within a preset length of time,/for a predetermined period of time>Representing the monitoring data to be processed at the i-1 th moment within a preset time length,/for the monitoring data to be processed at the i-1 th moment within the preset time length>Indicating the monitoring data to be processed at the i-2 th moment within the preset time length,/for the monitoring data to be processed at the i-2 nd moment within the preset time length>Representing preset super parameters;
obtaining the monitoring weight of each moment according to the difference condition between the cleaning liquid monitoring data of each moment and the standard monitoring data of the corresponding moment, and specifically comprising the following steps:
calculating the time and the ratio between the to-be-processed monitoring data of each time and the standard monitoring data of the corresponding time in the preset time length before the time, and taking the average value of the ratios corresponding to all the times in the preset time length as the monitoring weight of the time;
the calculation formula of the monitoring weight is specifically as follows:
wherein,monitoring weight indicating the t-th moment in the set period of time,/->Indicating the number of times involved in the preset length of time, < +.>Representing presetsMonitoring data to be processed at the ith moment in time length,/->Standard monitoring data representing the ith moment in a preset time length;
the step of acquiring the cleaning monitoring index of each moment in the set time period of workpiece cleaning by combining the monitoring weight and the monitoring coefficient specifically comprises the following steps:
for any moment, obtaining a cleaning monitoring index of the moment according to the monitoring weight and the monitoring coefficient of the moment, wherein the monitoring weight and the cleaning monitoring index are in positive correlation;
the calculation formula of the cleaning monitoring index specifically comprises:
wherein,a wash monitoring index indicating the t-th moment in a preset time period, < >>Monitoring coefficient indicating the t-th moment in the set time period,/->The monitoring weight at the t-th time in the set time period is represented, and exp () represents an exponential function based on a natural constant e.
Preferably, the step of judging whether to perform rust cleaning operation on the cleaning solution according to the cleaning monitoring index specifically includes:
for any moment in the set time period, if the cleaning monitoring index at the moment is larger than a preset cleaning threshold value, performing rust cleaning operation on the cleaning liquid; if the cleaning monitoring index at the moment is smaller than or equal to a preset cleaning threshold value, rust cleaning operation is not carried out on the cleaning liquid.
Preferably, the preset time length includes 10 moments.
Preferably, the value of the cleaning threshold is 1.2.
The embodiment of the invention has at least the following beneficial effects:
according to the invention, the cleaning liquid monitoring and analyzing module is arranged on the cleaning liquid rust cleaning equipment body, wherein the data acquisition module in the liquid monitoring and analyzing module can respectively acquire monitoring data of a workpiece in a certain time period when the workpiece is cleaned and the workpiece is not cleaned, and a data basis is provided for accurately judging whether the cleaning operation is required to be performed on impurities in the cleaning liquid or not. And then analyzing the difference condition between the cleaning liquid monitoring data at each moment and the standard monitoring data at the corresponding moment through a data analysis control chip in the liquid monitoring and analysis module to obtain the monitoring weight at each moment, and reflecting the impurity distribution condition in the cleaning liquid in the cleaning process by comparing the difference condition between the cleaning liquid monitoring data of the workpiece cleaning process acquired in real time and the standard data, thereby reflecting the necessity of cleaning the impurities in the cleaning liquid at the corresponding moment by using the monitoring weight. Then, the fluctuation condition of the difference between the cleaning liquid monitoring data in the neighborhood time range of each moment is analyzed, the variation trend of the data variation in the local time range of each moment is known, and the obtained monitoring coefficient is used for reflecting the instantaneity of the cleaning operation for the impurities in the cleaning liquid at the corresponding moment. Further, by combining the characteristics of the two aspects, the cleaning monitoring index is obtained, the degree of whether impurity cleaning operation is needed at the corresponding moment can be accurately reflected, the judging instruction of whether rust cleaning operation is needed for cleaning the cleaning liquid is finally obtained in time, the cleaning can be adaptively carried out according to the real-time data change condition, and the efficiency of processing the cleaning liquid is higher.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block diagram of a pretreatment apparatus before plating of a workpiece according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method performed by a pretreatment device prior to electroplating a workpiece according to an embodiment of the invention;
the reference numerals in fig. 1 are: 1. a left side regulating device of the filter screen; 2. a workpiece clamping device; 3. a left connecting device of the filter screen; 4. a gravity sensor; 5. a bottom wall of the cleaning tank; 6. a right side regulating device of the filter screen; 7. a connecting device on the right side of the filter screen; 8. a cleaning tank side wall; 9. a filter screen; 10. a power generation device;
the reference numerals in fig. 2 are: s100, a step S100; s200, step S200.
Detailed Description
In order to further describe the technical means and effects adopted by the invention to achieve the preset aim, the following is a specific implementation, structure, characteristics and effects of a pretreatment device before workpiece electroplating, which are provided by the invention, with reference to the accompanying drawings and the preferred embodiment. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The pretreatment equipment before workpiece electroplating provided by the embodiment of the invention comprises a cleaning fluid rust cleaning equipment body, wherein the cleaning fluid rust cleaning equipment body is also provided with a cleaning fluid monitoring and analyzing module, and the cleaning fluid monitoring and analyzing module is used for detecting and analyzing the rust impurity residue condition in cleaning fluid in the cleaning process of the workpiece by the cleaning fluid rust cleaning equipment, so that the cleaning fluid monitoring and analyzing module comprises a data acquisition module, a data analysis control chip and a cleaning fluid cleaning module. The data acquisition module is connected with the data analysis control chip, the data analysis control chip is used for data processing and machine control, the chip type is an FPGA, and the data acquisition module receives information of the data acquisition module and sends a control instruction to the cleaning fluid cleaning module.
The following specifically describes a specific scheme of the pretreatment equipment before workpiece electroplating provided by the invention with reference to the accompanying drawings.
Referring to fig. 1, a block diagram of a pretreatment apparatus for workpiece plating according to an embodiment of the present invention is shown, the pretreatment apparatus includes a cleaning solution rust removing apparatus body, the apparatus body includes: a left side regulating device 1 of the filter screen; a workpiece holding device 2; a connecting device 3 at the left side of the filter screen; a gravity sensor 4; a bottom wall 5 of the cleaning tank; a right-side regulating device 6 of the filter screen; a connecting device 7 on the right side of the filter screen; a cleaning tank side wall 8; a filter screen 9; the power generation device 10.
The data acquisition module is connected with the signal input end of the data analysis control chip, the signal output end of the data analysis control chip is connected with the cleaning liquid cleaning module, and the cleaning liquid cleaning module is used for performing rust cleaning operation on cleaning liquid; the data acquisition module is used for acquiring monitoring data in real time and transmitting the monitoring data to the data analysis control chip, wherein the monitoring data comprises cleaning liquid monitoring data at each moment in a set time period for cleaning a workpiece and standard monitoring data at each moment in a set time period for not cleaning the workpiece.
In the embodiment of the invention, the gravity sensor 4 forms a data acquisition module, in other embodiments, different gravity sensors may also form a data acquisition module, or the data acquisition module may also include a plurality of gravity sensors. In the embodiment of the invention, a cleaning solution cleaning module is formed by a filter screen left side regulating device 1, a workpiece clamping device 2, a filter screen left side connecting device 3, a filter screen right side regulating device 6, a filter screen right side connecting device 7, a filter screen 9 and a power generating device 10 and is used for cleaning impurities and rust cleaned by workpieces in the cleaning solution. The cleaning liquid monitoring and analyzing module is composed of a data acquisition module, a cleaning liquid cleaning module and a data analysis and monitoring chip.
Wherein, the step of the operation process of cleaning fluid rust cleaning equipment body is:
(1) And filling workpiece cleaning liquid into the inner cavity of the cleaning tank of the cleaning liquid rust cleaning equipment body, and clamping the workpiece to be cleaned by the workpiece clamping device 2.
(2) The power generation device 10 is started to carry out kinetic energy transmission on the cleaning liquid in the inner cavity of the cleaning tank, and the cleaning liquid in motion is used for cleaning the workpiece clamped by the workpiece clamping device 2.
(3) The data acquisition module composed of the gravity sensors acquires the gravity real-time data of the cleaning liquid under the influence of the power generation device 10 in the cleaning process of the workpiece, and feeds the data back to the data analysis control chip.
(4) The data analysis control chip receives the monitoring data to analyze the rust impurity residual condition in the cleaning fluid in the cleaning process of the workpiece, generates a control instruction and feeds back the control instruction to the cleaning fluid cleaning module; after the cleaning fluid cleaning module receives the control instruction, the power generation device 10 is stopped, the filter screen 9 is regulated and controlled by the filter screen left regulating and controlling device 1, the filter screen left connecting device 3, the filter screen right regulating and controlling device 6 and the filter screen right connecting device 7, and rust and impurities in the cleaning fluid are filtered.
Referring to fig. 2, a flowchart of a method for analyzing and processing rust impurity residues in a cleaning solution in a workpiece cleaning process by a data analysis control chip in a pretreatment device before workpiece electroplating according to an embodiment of the invention is shown, and the method includes the following steps:
step S100, obtaining monitoring weight of each moment according to the difference condition between the cleaning liquid monitoring data of each moment and the standard monitoring data of the corresponding moment; and obtaining the monitoring coefficient of each moment according to the fluctuation condition of the difference between the cleaning liquid monitoring data of each moment in the neighborhood time range.
The invention mainly aims to realize timely cleaning operation of rust and impurities in cleaning liquid by a newly-added cleaning liquid monitoring and analyzing module. The double-layer filter screen with the sensor is arranged in the embodiment, when different data fluctuation exists in the cleaning fluid and the cleaning fluid is severe, impurities in the cleaning fluid can be filtered in time by the double-layer filter screen, and the cleaning effect of a workpiece is prevented from being influenced by the impurities, so that the cleaning fluid is wasted.
It should be noted that, in the process of workpiece cleaning under normal conditions, the cleaning solution can vibrate under the drive of power generation device, and when the cleaning solution in the inner chamber of the cleaning tank vibrates, the real-time gravity data of the cleaning solution in the cleaning tank can be collected by the gravity sensor at the filter screen of the bottom of the cleaning tank. When the workpiece cleaning operation is not performed, the total amount of the cleaning liquid in the cleaning tank is fixed, so that real-time gravity data collected by a sensor at the bottom of the filter screen is only related to the vibration speed of the power generation device, when the vibration speed is constant, the real-time gravity data collected by the gravity sensor should be relatively close, and when the data collection module performs standard data collection, the power generation device is ensured to vibrate the cleaning liquid in the inner cavity of the cleaning tank at the constant vibration speed, and at the moment, no clamped workpiece exists in the inner cavity of the cleaning tank.
Specifically, the data acquisition module needs to acquire a group of real-time gravity data when the workpiece is not cleaned, the data acquisition module is used as standard gravity data contained in cleaning liquid filled in the cleaning tank, meanwhile, real-time monitoring is carried out in the process of cleaning the workpiece each time, and the data acquisition module acquires the real-time gravity data to provide a data basis for the follow-up analysis of whether cleaning liquid cleaning operation is carried out or not. Namely, the monitoring data acquired by the data acquisition module in real time comprise cleaning liquid monitoring data at each moment in a set time period for cleaning the workpiece and standard monitoring data at each moment in a set time period for not cleaning the workpiece.
In this embodiment, the longest time length of the total time length of 10 workpiece cleaning operations closest to the current operation to be cleaned is obtained, the time length of the set time period is set to the longest time length, the time interval between two adjacent moments in the set time period is 10 milliseconds, and the implementer can set according to the specific implementation scenario. In the present embodiment, the data analysis for only one fixed period of time is taken as an example, and in actual use, the data analysis may be performed in real time.
Meanwhile, the total number of the collected standard monitoring data is the same as the total number of the cleaning liquid monitoring data, namely the cleaning liquid monitoring data at each moment in the set time period has the corresponding standard monitoring data, and all the monitoring data are gravity data. In the process of cleaning the workpiece, the workpiece is clamped and fixed, so that the member itself does not influence the real-time monitoring data collected by the gravity sensor.
In the process of cleaning the workpiece, impurities and rust on the surface of the workpiece are removed, so that the overall quality of the cleaning liquid is changed, the quality of the cleaning liquid is stable before the cleaning is performed, and the quality of the cleaning liquid is changed into the quantity of impurities on the workpiece during the cleaning process. And when the gravity data are collected, the gravity data are affected by impurities falling off the surface of the workpiece in the cleaning liquid, so that the real-time monitoring data are changed compared with the standard data. Based on the method, the condition that the cleaning liquid monitoring data collected in real time in the workpiece cleaning process changes along with time can be analyzed, so that the impurity distribution state of the current cleaning liquid is analyzed, and whether the impurities in the cleaning liquid need to be filtered or not is judged.
Specifically, according to the difference condition between the cleaning fluid monitoring data at each moment and the standard monitoring data at the corresponding moment, the monitoring weight at each moment is obtained, namely, for any moment, the cleaning fluid monitoring data at each moment in a preset time length before the moment is recorded as monitoring data to be processed, the ratio between the monitoring data to be processed at each moment in the preset time length before the moment and the standard monitoring data at the corresponding moment is calculated, and the average value of the ratios corresponding to all moments in the preset time length is used as the monitoring weight of the moment. In this embodiment, the number of times included in the preset time period is 10, and the implementer may set according to a specific implementation scenario.
In this embodiment, taking the t-th time in the set period as an example for explanation, the calculation formula of the monitoring weight at the t-th time in the set period may be expressed as follows:
wherein,monitoring weight indicating the t-th moment in the set period of time,/->Indicating the number of times involved in the preset length of time, < +.>Representing the monitored data to be processed at the ith moment within a preset length of time,/for a predetermined period of time>Standard monitoring data representing the ith moment in a preset time length.
The ratio between the cleaning liquid monitoring data and the standard monitoring data at the corresponding moment is represented, the data difference between the cleaning liquid monitoring data and the standard monitoring data is reflected, and the larger the ratio is, the more impurities or rust on the surface of the workpiece, which are cleaned off, drop into the cleaning liquid at the t-th moment is, and the greater the influence of the impurities or rust on the cleaning process of the workpiece is.
And then through carrying out the whole analysis to the impurity condition that drops in the local time frame before the current moment, reflected the peak period that is probably being in impurity clearance in this section local time frame, impurity and rust disputed drop, the higher impurity volume of dropping of passing a period at the current moment, the impurity distribution condition in the corresponding washing liquid is more optimistic, need carry out impurity filtration to the washing liquid more. The monitoring weight reflects the necessary degree of the impurity process required to be carried out at the current moment in terms of the impurity content in the cleaning liquid.
Further, according to the fluctuation condition of the difference between the cleaning liquid monitoring data of each moment in the neighborhood time range, the monitoring coefficient of each moment is obtained. Specifically, according to the difference between the to-be-processed monitoring data at every two adjacent moments within the preset time length, the monitoring coefficient at any moment is obtained.
In this embodiment, taking the t-th time in the set period as an example for explanation, the calculation formula of the monitoring coefficient at the t-th time in the set period may be expressed as:
wherein,monitoring coefficient indicating the t-th moment in the set time period,/->Indicating the number of times involved in the preset length of time, < +.>Representing the monitored data to be processed at the ith moment within a preset length of time,/for a predetermined period of time>Representing the monitoring data to be processed at the i-1 th moment within a preset time length,/for the monitoring data to be processed at the i-1 th moment within the preset time length>Indicating the monitoring data to be processed at the i-2 th moment within the preset time length,/for the monitoring data to be processed at the i-2 nd moment within the preset time length>Indicating a preset super parameter, the value of the super parameter in this embodiment is 0.1, and in order to prevent the denominator from being 0, the implementer may set according to a specific implementation scenario.
In order to avoid frequent impurity removal of the cleaning liquid during workpiece cleaning, in this embodiment, the impurity distribution in the cleaning liquid is monitored by a monitoring coefficient based on a certain time length, that is, a local time range. When the corresponding cleaning liquid monitoring data in the cleaning tank does not change in the local time range, impurities or rust on the surface of the workpiece are considered to be cleaned, or the impurities or rust on the surface of the workpiece are stable to a certain extent, for example, the residual impurities or rust on the surface of the workpiece needs to be cleaned for a longer time to be enough for the impurities or rust to fall off, and then the impurities or rust on the cleaning liquid can be cleaned.
And->The difference condition between the cleaning liquid monitoring data corresponding to every two adjacent moments in the preset time length is reflected, and the smaller the difference between the cleaning liquid monitoring data corresponding to the two adjacent moments in the preset time length is, namely, the smaller the data change amount is, the more stable the monitoring data is implemented in the cleaning tank. The ratio of the two is closer to 1, which indicates that the data change amount between every two adjacent moments is closer, and further indicates that the data change tends to a stable state within a preset time length, and impurities or rust in the cleaning liquid can be removed. The monitoring coefficient reflects the stability of the data change in the local time range between the current moments, and further reflects the instantaneity of removing impurities or rust in the cleaning liquid at the current moments.
Step S200, acquiring a cleaning monitoring index of each moment in a set time period of workpiece cleaning by combining the monitoring weight and the monitoring coefficient; judging whether rust cleaning operation is carried out on the cleaning liquid according to the cleaning monitoring index, if yes, generating a control instruction, feeding back the control instruction to the cleaning liquid cleaning module, and executing the rust cleaning operation on the cleaning liquid by the cleaning liquid cleaning module.
The situation that every cleaning solution monitoring data changes along with time in the setting time period that gathers in real time probably exists two kinds, and the first condition is impurity or rust on work piece surface are less, and the work piece drops impurity bulk quality in the cleaning solution in abluent in-process, and is less for the fixed cleaning solution quality of washing tank, and these less impurity existence can not cause the pollution to the cleaning solution, and then also can not influence the cleaning operation of work piece, so the trend that cleaning solution monitoring data changes along with time is close to the trend that standard monitoring data changes along with time.
The second condition is that the impurity or rust on the surface of the workpiece is more, the impurity and rust on the surface of the component are in random states and fall off in the cleaning process of the workpiece, namely, no obvious function exists between the monitoring data of the cleaning liquid and the time in the impurity and rust falling process, the change trend of the cleaning liquid can be represented, the quality of the impurity falling integrally is more than that of the inherent cleaning liquid, serious negative influence is generated on the cleaning liquid, and the cleaning operation of the workpiece is further influenced. Therefore, when judging whether or not the cleaning operation is required for the cleaning liquid, a specific analysis is required in combination of the two aspects.
The monitoring weight reflects the necessary degree of the impurity process required to be carried out at the current moment in terms of the impurity content in the cleaning liquid, namely, in the workpiece cleaning process, the impurity content at a certain moment is larger than the inherent cleaning liquid quality, and the corresponding monitoring weight is larger, so that the impurities in the cleaning liquid are more necessary to be filtered at the current corresponding moment.
The monitoring coefficient reflects the stability of the data change in the local time range between the current moments, and further reflects the instantaneity of removing impurities or rust in the cleaning liquid at the current moments. That is, in the process of cleaning the workpiece, when the variation of the monitoring data of the cleaning liquid in a certain time period before a certain moment tends to be in a stable state, the smaller the corresponding monitoring coefficient value is, which indicates that the cleaning operation of the cleaning liquid is more suitable.
Further, when the monitoring weight corresponding to the monitoring data of the cleaning liquid at a certain moment is larger, the impurity amount in the cleaning liquid is larger, the corresponding monitoring coefficient is close to 1, and the cleaning time is proper, the cleaning operation can be performed on the cleaning liquid. Based on the cleaning monitoring index, the monitoring weight and the monitoring coefficient are combined to obtain the cleaning monitoring index of each moment in the set time period of workpiece cleaning, and the monitoring weight and the cleaning monitoring index are in positive correlation.
In this embodiment, taking the t time in the set period as an example for explanation, the calculation formula of the cleaning monitoring index at the t time may be expressed as follows:
wherein,a wash monitoring index indicating the t-th moment in a preset time period, < >>Monitoring coefficient indicating the t-th moment in the set time period,/->The monitoring weight at the t-th time in the set time period is represented, and exp () represents an exponential function based on a natural constant e.
The value of (2) is closer to 1, which indicates that the data change amount tends to be in a stable state within a preset time length, therebyThe smaller the value of the cleaning index is, the more the data change amount tends to be in a stable state in the preset time length, the larger the value of the corresponding cleaning monitoring index is, the larger the monitoring weight is, and the larger the impurity amount in the cleaning fluid is, the larger the value of the corresponding cleaning monitoring index is. The cleaning monitoring index characterizes the degree of necessity of filtering impurities and rust in the cleaning liquid at the t moment, and the larger the value is, the larger the necessity of cleaning the impurities in the cleaning liquid at the t moment is, and the more proper the time is.
Based on the rust cleaning method, whether rust cleaning operation is carried out on the cleaning liquid is judged according to the cleaning monitoring index, and if yes, a control instruction is generated. Specifically, for any moment in the set time period, if the cleaning monitoring index at the moment is greater than a preset cleaning threshold value, performing rust cleaning operation on the cleaning liquid; if the cleaning monitoring index at the moment is smaller than or equal to a preset cleaning threshold value, rust cleaning operation is not carried out on the cleaning liquid.
In this embodiment, the value of the cleaning threshold is 1.2, and the practitioner can set according to the specific implementation scenario. Meanwhile, the control instruction refers to a start instruction of rust cleaning operation for the cleaning liquid. The cleaning liquid monitoring data in the workpiece cleaning process are detected and analyzed in real time, and if the cleaning monitoring index at the corresponding moment is smaller than or equal to 1.2, the cleaning liquid is not required to be filtered for impurities at the moment, so that the workpiece cleaning work can be continued. If the cleaning monitoring index at the corresponding moment is larger than 1.2, the condition that the cleaning fluid is required to be filtered for impurities at the moment is indicated, a control instruction is required to be generated, the control instruction is fed back to the cleaning fluid cleaning module, and the cleaning fluid cleaning module executes the rust cleaning operation for the cleaning fluid.
The cleaning solution cleaning module is used for cleaning rust of the cleaning solution, and comprises the following specific processes:
the power generation device 10 is stopped, the filter screen 9 is pulled out by the aid of the filter screen left side regulating and controlling device 1, the filter screen left side connecting device 3, the filter screen right side regulating and controlling device 6 and the filter screen right side connecting device 7, and impurities and rust in the cleaning liquid are filtered in the pulling-out process. And then, the filter screen 9 is put in through the filter screen left side regulating and controlling device 1, the filter screen left side connecting device 3, the filter screen right side regulating and controlling device 6 and the filter screen right side connecting device 7, and the workpiece is clamped by the workpiece clamping device 2 and enters the cleaning liquid, and the power generating device is started to continue cleaning. It should be noted that, in other embodiments, an operator may set different cleaning solution cleaning modules according to specific implementation scenarios, and the cleaning solution cleaning modules are configured to receive a control instruction of the data analysis control chip, and perform a filtering operation on impurities in the cleaning solution.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the scope of the embodiments of the present application, and are intended to be included within the scope of the present application.

Claims (4)

1. The pretreatment equipment comprises a cleaning fluid rust cleaning equipment body, and is characterized in that the cleaning fluid rust cleaning equipment body comprises a cleaning fluid monitoring and analyzing module, the cleaning fluid monitoring and analyzing module is arranged on the cleaning fluid rust cleaning equipment body, and the cleaning fluid monitoring and analyzing module comprises a data acquisition module, a data analysis control chip and a cleaning fluid cleaning module;
the data acquisition module is connected with the signal input end of the data analysis control chip, the signal output end of the data analysis control chip is connected with the cleaning liquid cleaning module, and the cleaning liquid cleaning module is used for performing rust cleaning operation on cleaning liquid; the data acquisition module is used for acquiring monitoring data in real time and transmitting the monitoring data to the data analysis control chip, wherein the monitoring data comprise cleaning liquid monitoring data at each moment in a set time period for cleaning a workpiece and standard monitoring data at each moment in a set time period for not cleaning the workpiece;
obtaining monitoring weight of each moment according to the difference condition between the cleaning liquid monitoring data of each moment and the standard monitoring data of the corresponding moment; obtaining a monitoring coefficient of each moment according to the fluctuation condition of the difference between the cleaning liquid monitoring data of each moment in the neighborhood time range;
acquiring a cleaning monitoring index of each moment in a set time period of workpiece cleaning by combining the monitoring weight and the monitoring coefficient; judging whether rust cleaning operation is carried out on the cleaning liquid according to the cleaning monitoring index, if yes, generating a control instruction, feeding back the control instruction to the cleaning liquid cleaning module, and executing the rust cleaning operation on the cleaning liquid by the cleaning liquid cleaning module;
obtaining a monitoring coefficient of each moment according to the fluctuation condition of the difference between the cleaning liquid monitoring data of each moment in the neighborhood time range, wherein the monitoring coefficient specifically comprises the following steps:
for any moment, recording the monitoring data of the cleaning liquid at each moment in the preset time length before the moment as monitoring data to be processed, and obtaining a monitoring coefficient of any moment according to the difference between the monitoring data to be processed at every two adjacent moments in the preset time length;
the calculation formula of the monitoring coefficient is specifically as follows:
wherein,monitoring coefficient indicating the t-th moment in the set time period,/->Indicating the number of times involved in the preset length of time, < +.>Representing the monitored data to be processed at the ith moment within a preset length of time,/for a predetermined period of time>Representing the monitoring data to be processed at the i-1 th moment within a preset time length,/for the monitoring data to be processed at the i-1 th moment within the preset time length>Indicating the monitoring data to be processed at the i-2 th moment within the preset time length,/for the monitoring data to be processed at the i-2 nd moment within the preset time length>Representing preset super parameters;
obtaining the monitoring weight of each moment according to the difference condition between the cleaning liquid monitoring data of each moment and the standard monitoring data of the corresponding moment, and specifically comprising the following steps:
calculating the time and the ratio between the to-be-processed monitoring data of each time and the standard monitoring data of the corresponding time in the preset time length before the time, and taking the average value of the ratios corresponding to all the times in the preset time length as the monitoring weight of the time;
the calculation formula of the monitoring weight is specifically as follows:
wherein,monitoring weight indicating the t-th moment in the set period of time,/->Indicating the number of times involved in the preset length of time, < +.>Representing the monitored data to be processed at the ith moment within a preset length of time,/for a predetermined period of time>Standard monitoring data representing the ith moment in a preset time length;
the step of acquiring the cleaning monitoring index of each moment in the set time period of workpiece cleaning by combining the monitoring weight and the monitoring coefficient specifically comprises the following steps:
for any moment, obtaining a cleaning monitoring index of the moment according to the monitoring weight and the monitoring coefficient of the moment, wherein the monitoring weight and the cleaning monitoring index are in positive correlation;
the calculation formula of the cleaning monitoring index specifically comprises:
wherein,a wash monitoring index indicating the t-th moment in a preset time period, < >>Monitoring coefficient indicating the t-th moment in the set time period,/->The monitoring weight at the t-th time in the set time period is represented, and exp () represents an exponential function based on a natural constant e.
2. The pretreatment apparatus for plating on a workpiece according to claim 1, wherein said determining whether to perform a rust removal operation on the cleaning liquid according to said cleaning monitoring index comprises:
for any moment in the set time period, if the cleaning monitoring index at the moment is larger than a preset cleaning threshold value, performing rust cleaning operation on the cleaning liquid; if the cleaning monitoring index at the moment is smaller than or equal to a preset cleaning threshold value, rust cleaning operation is not carried out on the cleaning liquid.
3. A pre-treatment apparatus for a workpiece prior to plating according to claim 1, wherein said predetermined length of time comprises 10 moments.
4. A pre-treatment apparatus before plating of a workpiece according to claim 2, wherein said cleaning threshold has a value of 1.2.
CN202311650167.8A 2023-12-05 2023-12-05 Pretreatment equipment for workpiece before electroplating Active CN117370713B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311650167.8A CN117370713B (en) 2023-12-05 2023-12-05 Pretreatment equipment for workpiece before electroplating

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311650167.8A CN117370713B (en) 2023-12-05 2023-12-05 Pretreatment equipment for workpiece before electroplating

Publications (2)

Publication Number Publication Date
CN117370713A true CN117370713A (en) 2024-01-09
CN117370713B CN117370713B (en) 2024-03-05

Family

ID=89391342

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311650167.8A Active CN117370713B (en) 2023-12-05 2023-12-05 Pretreatment equipment for workpiece before electroplating

Country Status (1)

Country Link
CN (1) CN117370713B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020122729A (en) * 2019-01-31 2020-08-13 株式会社ナカヨ Washing fluid exchange prediction analysis system
CN112746277A (en) * 2019-10-30 2021-05-04 东莞新科技术研究开发有限公司 Stainless steel surface cleaning agent and cleaning method
WO2022252505A1 (en) * 2021-06-02 2022-12-08 杭州安脉盛智能技术有限公司 Device state monitoring method based on multi-index cluster analysis
CN116052912A (en) * 2023-04-03 2023-05-02 四川晟蔚智能科技有限公司 Nuclear leakage detection method and system based on aerosol transport analysis
CN116298167A (en) * 2023-05-15 2023-06-23 胜利星科检测技术(山东)有限公司 Online water quality detection system of oil field
CN116962669A (en) * 2023-08-10 2023-10-27 苏州德斯米尔智能科技有限公司 Foreign matter removal system for monitoring equipment

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020122729A (en) * 2019-01-31 2020-08-13 株式会社ナカヨ Washing fluid exchange prediction analysis system
CN112746277A (en) * 2019-10-30 2021-05-04 东莞新科技术研究开发有限公司 Stainless steel surface cleaning agent and cleaning method
WO2022252505A1 (en) * 2021-06-02 2022-12-08 杭州安脉盛智能技术有限公司 Device state monitoring method based on multi-index cluster analysis
CN116052912A (en) * 2023-04-03 2023-05-02 四川晟蔚智能科技有限公司 Nuclear leakage detection method and system based on aerosol transport analysis
CN116298167A (en) * 2023-05-15 2023-06-23 胜利星科检测技术(山东)有限公司 Online water quality detection system of oil field
CN116962669A (en) * 2023-08-10 2023-10-27 苏州德斯米尔智能科技有限公司 Foreign matter removal system for monitoring equipment

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
吴茜;徐权;: "不同保湿预处理方法对硬式内镜器械清洗效果的影响分析", 中外医学研究, no. 30 *
林峻;严英杰;盛戈;江秀臣;杨;陈玉峰;: "考虑时间序列关联的变压器在线监测数据清洗", 电网技术, no. 11 *

Also Published As

Publication number Publication date
CN117370713B (en) 2024-03-05

Similar Documents

Publication Publication Date Title
CN103786069B (en) Flutter online monitoring method for machining equipment
CN108846581A (en) A kind of machine tool reliability evaluation system and method
CN117370713B (en) Pretreatment equipment for workpiece before electroplating
CN111046582A (en) Nuclear power station diesel generating set coil temperature early warning method and system
CN116967844A (en) Cutter state monitoring and life predicting system for numerical control machine tool and using method thereof
CN116307289A (en) Textile processing procedure parameter detection and prediction method, system and storage medium
CN116871978A (en) Drilling tool state monitoring method based on multi-sensor fusion
CN116738187B (en) Ship gas power dynamic prediction method and system based on artificial intelligence
CN112859741A (en) Method and system for evaluating operation reliability of sequential action units of machine tool
CN116881635A (en) Data management system for textile detergent equipment
CN113161599A (en) Method and device for monitoring lithium separation of battery
CN114252216B (en) Detection method for lubricating oil leakage of gas turbine
CN116014760A (en) Method for identifying ultralow frequency oscillation of power system and positioning oscillation source under random response
CN112525337B (en) Pretreatment method for vibration monitoring data of mechanical press
CN212858795U (en) Tool remaining service life prediction device based on vibration signals
CN114798005A (en) Intelligent regeneration control method and system for ion exchange system based on image recognition
CN107944085B (en) Data processing method and module for steel rolling self-learning model
CN217776391U (en) Processing waste material separation instrument of digit control machine tool
CN117685489B (en) Integrated intelligent system for purifying and treating lubricating oil
CN111963661B (en) Automatic circulation cooling system for lubricating oil of speed reducer
CN212548575U (en) Polishing solution treatment equipment for precision part polishing machine
CN117163924A (en) Drainage control system of nitrogen generator
Basit et al. Chatter detection and suppression in machining processes: a comprehensive analysis
CN205056549U (en) High -efficient belt cleaning device of ultrasonic wave of light arms
CN214268407U (en) Stainless steel water tank with heavy metal separation structure for water treatment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant