Intelligent control system and method for hydrocarbon cleaning machine

Abstract

The invention discloses a hydrocarbon cleaning machine intelligent control system and method, and relates to the technical field of hydrocarbon cleaning machine intelligent control, and the method comprises the steps: detecting the weight and volume of a to-be-cleaned workpiece, roughly cleaning the surface tension, viscosity and particulate matter concentration of a hydrocarbon solvent in a cleaning tank, and calculating an initial cleaning parameter and an initial cleaning threshold value; determining an initial cleaning strategy of the to-be-cleaned workpiece; the workpiece to be cleaned is put into the hydrocarbon solvent, the surface tension, the viscosity and the particulate matter concentration of the hydrocarbon solvent in the rough cleaning process are detected, the initial cleaning change coefficient of the workpiece to be cleaned is calculated, the cleaning coefficient and the cleaning adjustment threshold value are calculated and adjusted, whether cleaning parameter adjustment needs to be carried out or not is judged, and the cleaning parameters can be adjusted in time in the workpiece cleaning process. Therefore, it is ensured that the cleaning process is conducted under the optimal condition, and the cleaning efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control of hydrocarbon cleaning machines, and in particular to an intelligent control system and method for hydrocarbon cleaning machines. Background Art

[0002] With the rapid development of industrial technology, the requirements for the cleanliness of precision parts are increasing. Traditional cleaning methods often have problems such as low efficiency, high energy consumption, and serious environmental pollution, which can no longer meet the needs of modern industrial production. As an efficient and environmentally friendly cleaning equipment, hydrocarbon cleaning machine has gradually become an important choice in the field of industrial cleaning with its unique cleaning effect and wide application field. Hydrocarbon cleaning machine mainly uses hydrocarbon solvent for cleaning, which has the advantages of low toxicity, no residue, no combustion, and is environmentally friendly. During the cleaning process, hydrocarbon solvents completely remove impurities from the surface of the object to be cleaned through physical and chemical reactions such as dissolution, penetration, and saponification with impurities such as oil, dust, etc. The fully automatic hydrocarbon cleaning equipment adopts advanced automation technology, combined with ultrasonic, vacuum drying and other technologies, to achieve continuous and efficient cleaning operations. However, the traditional hydrocarbon cleaning machine still needs to be improved in terms of control accuracy, automation and intelligence level. Traditional control systems mostly use open-loop or simple closed-loop control, which makes it difficult to achieve precise control of various parameters in the cleaning process, resulting in unstable cleaning effect. In addition, some equipment still requires manual intervention, such as manually adjusting cleaning parameters and monitoring the cleaning process, which reduces production efficiency. It lacks advanced functions such as intelligent recognition and adaptive adjustment, and is unable to automatically adjust the cleaning strategy according to the different materials, shapes and degree of contamination of the objects to be cleaned.

[0003] In the Chinese invention application with application publication number CN116786508A, an intelligent flexible ultrasonic hydrocarbon cleaning line and its design process are disclosed, including a hydrocarbon cleaning agent recovery and circulation system, a truss robot system, an intelligent scheduling system, a visual stain detection system, an intelligent scheduling system visual sorting robot feeding system, a modular ultrasonic cleaning machine and a control system; modularization, intelligent scheduling system and ultrasonic cleaning machine design with supporting hydrocarbon cleaning agents are adopted to solve the problems of single product cleaning and environmental protection, and realize the flexibility, intelligence and high reliability of ultrasonic cleaning. At the same time, explore the application of intelligent flexible ultrasonic hydrocarbon cleaning lines in various industrial cleaning fields such as semiconductors, and provide technical support for the intelligent upgrading of industrial cleaning equipment. The intelligent flexible ultrasonic hydrocarbon cleaning line has the advantages of energy saving, environmental protection, high efficiency, flexibility and intelligence, which is ahead of the traditional ultrasonic cleaning machines on the existing market.

[0004] In the above invention application, the control center controls the vision and machine learning of the recognition module to identify and perform data calculations on the stains on the cleaned parts, and then uses the communication protocol to connect the automatic sorting subsystem to control the robot system to sort the cleaned parts, place the qualified parts in the unloading area, and place the unqualified parts in the cleaning basket, waiting for secondary cleaning. However, the cleanliness analysis is performed after the parts are cleaned. This means that if the parts do not reach the expected cleanliness during the cleaning process, then this deficiency can only be discovered in subsequent inspections, which may cause delays in the production process because the substandard parts need to be reworked or re-cleaned.

[0005] To this end, the present invention provides an intelligent control system and method for a hydrocarbon cleaning machine. Summary of the invention

[0006] 1. Technical issues to be resolved

[0007] In view of the shortcomings of the prior art, the present invention provides an intelligent control system and method for a hydrocarbon cleaning machine. The present invention detects the weight Za and volume Tj of the workpiece to be cleaned, the surface tension, viscosity, and particle concentration of the hydrocarbon solvent in the rough cleaning tank, calculates the initial cleaning parameter Sx, the initial cleaning thresholds C1 and C2, determines the initial cleaning strategy of the workpiece to be cleaned according to the relationship between the initial cleaning parameter Sx of the workpiece to be cleaned and the initial cleaning thresholds C1 and C2, puts the workpiece to be cleaned into the hydrocarbon solvent, and detects the surface tension Bz of the hydrocarbon solvent during the rough cleaning process. i , viscosity Nd i and particle concentration Kl i , calculate the initial cleaning variation coefficient Qb of the workpiece to be cleaned, and calculate the adjustment cleaning coefficient Tq and cleaning adjustment threshold T1 in combination with the initial cleaning parameter Sx of the workpiece to be cleaned a and T2 a , according to the adjustment cleaning coefficient Tq of the workpiece to be cleaned and the cleaning adjustment threshold T1 of its corresponding cleaning strategy a and T2 a The relationship between the cleaning parameters can be used to determine whether cleaning parameter adjustment is required. The cleaning parameters can be adjusted in time during the workpiece cleaning process to ensure that the cleaning process is carried out under optimal conditions, thereby improving the cleaning efficiency, thereby solving the technical problems recorded in the background technology.

[0008] (II) Technical solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent control method for a hydrocarbon cleaning machine, comprising the following steps:

[0010] Detect the weight Za and volume Tj of the workpiece to be cleaned, the surface tension, viscosity, and particle concentration of the hydrocarbon solvent in the rough cleaning tank, calculate the initial cleaning parameter Sx, the initial cleaning thresholds C1 and C2, and determine the initial cleaning strategy of the workpiece to be cleaned based on the relationship between the initial cleaning parameter Sx and the initial cleaning thresholds C1 and C2 of the workpiece to be cleaned;

[0011] Put the workpiece to be cleaned into the hydrocarbon solvent and test the surface tension Bz of the hydrocarbon solvent during the rough cleaning process. i , viscosity Nd i and particle concentration Kl i , calculate the initial cleaning variation coefficient Qb of the workpiece to be cleaned, and calculate the adjustment cleaning coefficient Tq and cleaning adjustment threshold T1 in combination with the initial cleaning parameter Sx of the workpiece to be cleaned a and T2 a , according to the adjustment cleaning coefficient Tq of the workpiece to be cleaned and the cleaning adjustment threshold T1 of its corresponding cleaning strategy a and T2 a The relationship between them can be used to determine whether cleaning parameters need to be adjusted.

[0012] Furthermore, a gravity sensor is installed on the cleaning basket of the hydrocarbon cleaning machine to detect the weight Za of the workpiece to be cleaned before the workpiece to be cleaned is placed in the hydrocarbon solvent, and a liquid level meter is used to detect the liquid level of the hydrocarbon solvent before and after the workpiece to be cleaned is placed in the hydrocarbon solvent, and after calculating the liquid level difference before and after, the volume Tj of the workpiece to be cleaned is calculated in combination with the bottom area of ​​the rough cleaning tank, wherein the volume of the workpiece to be cleaned is the product of the liquid level difference before and after and the bottom area of ​​the rough cleaning tank;

[0013] Before the workpiece to be cleaned is placed in the hydrocarbon solvent, a surface tension meter is used to detect the surface tension of the hydrocarbon solvent in the rough cleaning tank, a viscometer is used to detect the viscosity, and a particle detector is used to detect the particle concentration, which are recorded as the first surface tension Dz, the first viscosity Dn and the first particle concentration Dk.

[0014] Furthermore, the weight Za, volume Tj, first surface tension Dz, first viscosity Dn and first particle concentration Dk of the workpiece to be cleaned are obtained, and the initial cleaning parameter Sx is calculated:

[0015]

[0016] Among them, Dz b Dn is the initial surface tension of the hydrocarbon solvent, that is, the surface tension of the hydrocarbon solvent that has just been put into use and has never been cleaned. b is the initial surface viscosity of hydrocarbon solvent, Dk b is the initial particle concentration of hydrocarbon solvent.

[0017] Furthermore, the initial cleaning parameter mean of all workpieces to be cleaned is used The initial cleaning thresholds C1 and C2 are calculated using the mean value of the initial cleaning parameter Sx and the standard deviation σSx as follows:

[0018]

[0019] The calculation formulas for the corresponding initial cleaning thresholds C1 and C2 are as above.

[0020] Furthermore, the initial cleaning strategy for the workpiece to be cleaned is determined based on the relationship between the initial cleaning parameter Sx of the workpiece to be cleaned and the initial cleaning thresholds C1 and C2, specifically as follows:

[0021] When Sx < C1, a low-power cleaning strategy is selected, indicating that the quality and volume of the current workpiece to be cleaned are both small, and the ultrasonic power, temperature, and pressure are all selected at the lowest level to start cleaning.

[0022] When C1 ≤ Sx < C2, it indicates that the quality or volume of the current workpiece to be cleaned is large, and a medium-power cleaning strategy is selected. The ultrasonic power, temperature, and pressure are all selected at the medium level to start cleaning.

[0023] When C2 ≤ Sx, it indicates that the quality and volume of the current workpiece to be cleaned are both large, and a high-power cleaning strategy is selected. The ultrasonic power, temperature, and pressure are all selected at the highest level to start cleaning.

[0024] Furthermore, the workpiece to be cleaned is placed in a hydrocarbon solvent, and the surface tension Bz i 、viscosity Nd i and particulate matter concentration Kl i of the hydrocarbon solvent during the rough cleaning process are periodically detected, and the initial cleaning change coefficient Qb of the workpiece to be cleaned is calculated:

[0025]

[0026] where i represents the time sequence number of the detection data of the hydrocarbon solvent during the rough cleaning process, and i = 1, 2,..., n.

[0027] Furthermore, the initial cleaning change coefficient Qb and the initial cleaning parameter Sx of the workpiece to be cleaned are obtained, and the adjustment cleaning coefficient Tq is calculated:

[0028]

[0029] where represents the mean value of the initial cleaning change coefficients of all workpieces to be cleaned, represents the mean value of the initial cleaning parameters of all workpieces to be cleaned.

[0030] Furthermore, the mean value of the adjustment cleaning coefficients and the standard deviation σTq a of all workpieces to be cleaned under each initial cleaning strategy are used to calculate the cleaning adjustment threshold T1a and T2 a , as follows:

[0031]

[0032] Wherein, a represents the number of each initial cleaning strategy, a=1 represents a low-power cleaning strategy, a=2 represents a medium-power cleaning strategy, and a=3 represents a high-power cleaning strategy.

[0033] Furthermore, according to the adjustment cleaning coefficient Tq of the workpiece to be cleaned and the cleaning adjustment threshold T1 of the corresponding cleaning strategy a and T2 a The relationship between the cleaning parameters is used to determine whether the cleaning parameters need to be adjusted. Specifically:

[0034] When Tq <T1 a When the power of the current cleaning strategy for cleaning the workpiece is high, the ultrasonic power and temperature are reduced.

[0035] When T1 a ≤Tq <T2 a When the cleaning strategy of the workpiece to be cleaned is moderate, no action is needed and monitoring should be continued to prevent any abnormal situation.

[0036] When T2 a When ≤Tq, the feedback indicates that the power of the current cleaning strategy for cleaning the workpiece is low, and the ultrasonic power and temperature are increased.

[0037] An intelligent control system for a hydrocarbon cleaning machine, comprising:

[0038] The data collection module to be cleaned is used to collect the weight Za and volume Tj of the workpiece to be cleaned before cleaning, and the first surface tension Dz, the first viscosity Dn and the first particle concentration Dk of the hydrocarbon solvent;

[0039] The initial cleaning strategy analysis module calculates the initial cleaning parameter Sx, the initial cleaning thresholds C1 and C2 according to the weight Za and volume Tj of the workpiece to be cleaned and the first surface tension Dz, the first viscosity Dn and the first particle concentration Dk of the hydrocarbon solvent, and determines the initial cleaning strategy of the workpiece to be cleaned according to the relationship between the initial cleaning parameter Sx and the initial cleaning thresholds C1 and C2 of the workpiece to be cleaned;

[0040] Cleaning data acquisition module, put the workpiece to be cleaned into hydrocarbon solvent, and detect the surface tension Bz of hydrocarbon solvent during rough cleaning i , viscosity Nd i and particle concentration Kl i , calculate the initial cleaning variation coefficient Qb of the workpiece to be cleaned;

[0041] The cleaning strategy adjustment module calculates the adjustment cleaning coefficient Tq and the cleaning adjustment threshold T1 according to the initial cleaning variation coefficient Qb and the initial cleaning parameter Sx of the workpiece to be cleaned. a and T2 a , according to the adjustment cleaning coefficient Tq of the workpiece to be cleaned and the cleaning adjustment threshold T1 of its corresponding cleaning strategy a and T2 a The relationship between the parameters can be used to determine whether cleaning parameters need to be adjusted;

[0042] Cleaning stop module to obtain the real-time surface tension Bz of hydrocarbon solvent during rough cleaning n , viscosity Nd n and particle concentration Kl n , when the real-time surface tension Bz n , viscosity Nd n and particle concentration Kl n When both are less than 0, it indicates that the rough cleaning of the current workpiece to be cleaned is completed, and the workpiece to be cleaned is taken out from the rough cleaning tank.

[0043] (III) Beneficial effects

[0044] The present invention provides an intelligent control system and method for a hydrocarbon cleaning machine, which has the following beneficial effects:

[0045] 1. Detect the weight Za and volume Tj of the workpiece to be cleaned, the surface tension, viscosity, and particle concentration of the hydrocarbon solvent in the rough cleaning tank, calculate the initial cleaning parameter Sx, the initial cleaning thresholds C1 and C2, and determine the initial cleaning strategy of the workpiece to be cleaned based on the relationship between the initial cleaning parameter Sx and the initial cleaning thresholds C1 and C2. Adjust the cleaning parameters according to the size and weight of the workpiece to avoid unnecessary energy waste and protect the workpiece from unnecessary damage. By selecting appropriate cleaning parameters, the cleaning time can be shortened and the cleaning efficiency can be improved.

[0046] 2. Place the workpiece to be cleaned into the hydrocarbon solvent and test the surface tension Bz of the hydrocarbon solvent during the rough cleaning process. i , viscosity Nd i and particle concentration Kl i , calculate the initial cleaning variation coefficient Qb of the workpiece to be cleaned, and calculate the adjustment cleaning coefficient Tq and cleaning adjustment threshold T1 in combination with the initial cleaning parameter Sx of the workpiece to be cleaned a and T2 a , according to the adjustment cleaning coefficient Tq of the workpiece to be cleaned and the cleaning adjustment threshold T1 of its corresponding cleaning strategy a and T2 a The relationship between the parameters can be used to determine whether cleaning parameter adjustment is needed. The cleaning parameters can be adjusted in time during the workpiece cleaning process to ensure that the cleaning process is carried out under optimal conditions, thereby improving the cleaning efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a flow chart of an intelligent control method of a hydrocarbon cleaning machine of the present invention;

[0048] Figure 2 The present invention is a structural schematic diagram of an intelligent control system for a hydrocarbon cleaning machine. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] See also Figure 1 The present invention provides an intelligent control method for a hydrocarbon cleaning machine, comprising the following steps:

[0051] Step 1: Detect the weight Za and volume Tj of the workpiece to be cleaned, the surface tension, viscosity, and particle concentration of the hydrocarbon solvent in the rough washing tank, calculate the initial cleaning parameters Sx, the initial cleaning thresholds C1 and C2, and determine the initial cleaning strategy of the workpiece to be cleaned based on the relationship between the initial cleaning parameters Sx and the initial cleaning thresholds C1 and C2 of the workpiece to be cleaned.

[0052] The step 1 includes the following contents:

[0053] Step 101, install a gravity sensor on the cleaning basket of the hydrocarbon cleaning machine, detect the weight Za of the workpiece to be cleaned before the workpiece to be cleaned is placed in the hydrocarbon solvent, and use a level meter to detect the liquid level of the hydrocarbon solvent before and after the workpiece to be cleaned is placed in the hydrocarbon solvent, respectively, calculate the liquid level difference before and after, and calculate the volume Tj of the workpiece to be cleaned in combination with the bottom area of ​​the rough cleaning tank, where the volume of the workpiece to be cleaned is the product of the liquid level difference before and after and the bottom area of ​​the rough cleaning tank.

[0054] Step 102, before the workpiece to be cleaned is placed in the hydrocarbon solvent, a surface tension meter is used to detect the surface tension of the hydrocarbon solvent in the rough cleaning tank, a viscometer is used to detect the viscosity, and a particle detector is used to detect the particle concentration, which are recorded as the first surface tension Dz, the first viscosity Dn and the first particle concentration Dk.

[0055] Step 103: Obtain the weight Za, volume Tj, first surface tension Dz, first viscosity Dn and first particle concentration Dk of the workpiece to be cleaned, and calculate the initial cleaning parameter Sx:

[0056]

[0057] Among them, Dz b is the initial surface tension of the hydrocarbon solvent, that is, the surface tension of the hydrocarbon solvent when it is first put into use and has never been cleaned, Dn b is the initial surface viscosity of the hydrocarbon solvent, Dk b is the initial particulate matter concentration of the hydrocarbon solvent.

[0058] Step 104: Use the mean value of the initial cleaning parameters of all workpieces to be cleaned and the standard deviation σSx to calculate the initial cleaning thresholds C1 and C2, specifically as follows:

[0059]

[0060] The calculation formulas for the corresponding initial cleaning thresholds C1 and C2 are as above.

[0061] Step 105: Determine the initial cleaning strategy of the workpiece to be cleaned according to the relationship between the initial cleaning parameter Sx of the workpiece to be cleaned and the initial cleaning thresholds C1 and C2, specifically:

[0062] When Sx < C1, select the low-power cleaning strategy, indicating that the quality and volume of the current workpiece to be cleaned are small, and the ultrasonic power, temperature, and pressure are all selected at the lowest level to start cleaning.

[0063] When C1 ≤ Sx < C2, it means that the quality or volume of the current workpiece to be cleaned is large, and the medium-power cleaning strategy is selected. The ultrasonic power, temperature, and pressure are all selected at the medium level to start cleaning.

[0064] When C2 ≤ Sx, it means that the quality and volume of the current workpiece to be cleaned are large, and the high-power cleaning strategy is selected. The ultrasonic power, temperature, and pressure are all selected at the highest level to start cleaning.

[0065] During use, combine the content in Steps 101 to 105:

[0066] Detect the weight Za and volume Tj of the workpiece to be cleaned, the surface tension, viscosity, and particulate matter concentration of the hydrocarbon solvent in the rough cleaning tank, calculate the initial cleaning parameter Sx, the initial cleaning thresholds C1 and C2, determine the initial cleaning strategy of the workpiece to be cleaned according to the relationship between the initial cleaning parameter Sx of the workpiece to be cleaned and the initial cleaning thresholds C1 and C2, and adjust the cleaning parameters according to the size and weight of the workpiece, which can avoid unnecessary energy waste, protect the workpiece from unnecessary damage, and can shorten the cleaning time and improve the cleaning efficiency by selecting appropriate cleaning parameters.

[0067] Step Two: Put the workpiece to be cleaned into the hydrocarbon solvent, and detect the surface tension Bz i , viscosity Nd i and particulate matter concentration Kl i, calculate the initial cleaning variation coefficient Qb of the workpiece to be cleaned, and calculate the adjustment cleaning coefficient Tq and cleaning adjustment threshold T1 in combination with the initial cleaning parameter Sx of the workpiece to be cleaned a and T2 a , according to the adjustment cleaning coefficient Tq of the workpiece to be cleaned and the cleaning adjustment threshold T1 of its corresponding cleaning strategy a and T2 a The relationship between them can be used to determine whether cleaning parameters need to be adjusted.

[0068] The step 2 includes the following contents:

[0069] Step 201: Place the workpiece to be cleaned into a hydrocarbon solvent and periodically detect the surface tension Bz of the hydrocarbon solvent during the rough cleaning process. i , viscosity Nd i and particle concentration Kl i , calculate the initial cleaning variation coefficient Qb of the workpiece to be cleaned:

[0070]

[0071] Wherein, i represents the time sequence number of the hydrocarbon solvent detection data during the rough washing process, i=1, 2, ..., n.

[0072] Step 202: Obtain the initial cleaning variation coefficient Qb and initial cleaning parameter Sx of the workpiece to be cleaned, and calculate the adjusted cleaning coefficient Tq:

[0073]

[0074] in, It represents the mean value of the initial cleaning variation coefficient of all workpieces to be cleaned. Represents the mean of the initial cleaning parameters of all workpieces to be cleaned.

[0075] Step 203: Utilize the average value of the adjusted cleaning coefficients of all workpieces to be cleaned under each initial cleaning strategy. and standard deviation σTq a To calculate the cleaning adjustment threshold T1 a and T2 a , as follows:

[0076]

[0077] Wherein, a represents the number of each initial cleaning strategy, a=1 represents a low-power cleaning strategy, a=2 represents a medium-power cleaning strategy, and a=3 represents a high-power cleaning strategy.

[0078] Step 204: adjusting the cleaning coefficient Tq of the workpiece to be cleaned and the cleaning adjustment threshold T1 of the corresponding cleaning strategy a and T2a The relationship between the cleaning parameters is used to determine whether the cleaning parameters need to be adjusted. Specifically:

[0079] When Tq <T1 a When the power of the current cleaning strategy for cleaning the workpiece is high, the ultrasonic power and temperature are reduced.

[0080] When T1 a ≤Tq <T2 a When the cleaning strategy of the workpiece to be cleaned is moderate, no action is needed and monitoring should be continued to prevent any abnormal situation.

[0081] When T2 a When ≤Tq, the feedback indicates that the power of the current cleaning strategy for cleaning the workpiece is low, and the ultrasonic power and temperature are increased.

[0082] Step 205: Obtain the real-time surface tension Bz of the hydrocarbon solvent during the rough washing process n , viscosity Nd n and particle concentration Kl n , when the real-time surface tension Bz n , viscosity Nd n and particle concentration Kl n When both are less than 0, it indicates that the rough cleaning of the current workpiece to be cleaned is completed, and the workpiece to be cleaned is taken out from the rough cleaning tank.

[0083] When using, combine the contents in steps 201 to 205:

[0084] Put the workpiece to be cleaned into the hydrocarbon solvent and test the surface tension Bz of the hydrocarbon solvent during the rough cleaning process. i , viscosity Nd i and particle concentration Kl i , calculate the initial cleaning variation coefficient Qb of the workpiece to be cleaned, and calculate the adjustment cleaning coefficient Tq and cleaning adjustment threshold T1 in combination with the initial cleaning parameter Sx of the workpiece to be cleaned a and T2 a , according to the adjustment cleaning coefficient Tq of the workpiece to be cleaned and the cleaning adjustment threshold T1 of its corresponding cleaning strategy a and T2 a The relationship between the parameters can be used to determine whether cleaning parameter adjustment is needed. The cleaning parameters can be adjusted in time during the workpiece cleaning process to ensure that the cleaning process is carried out under optimal conditions, thereby improving the cleaning efficiency.

[0085] See also Figure 2 The present invention provides an intelligent control system for a hydrocarbon cleaning machine, comprising:

[0086] The data collection module for cleaning is used to collect the weight Za and volume Tj of the workpiece to be cleaned before cleaning, and the first surface tension Dz, the first viscosity Dn and the first particle concentration Dk of the hydrocarbon solvent.

[0087] The initial cleaning strategy analysis module calculates the initial cleaning parameter Sx, the initial cleaning thresholds C1 and C2 based on the weight Za and volume Tj of the workpiece to be cleaned and the first surface tension Dz, the first viscosity Dn and the first particle concentration Dk of the hydrocarbon solvent, and determines the initial cleaning strategy of the workpiece to be cleaned based on the relationship between the initial cleaning parameter Sx of the workpiece to be cleaned and the initial cleaning thresholds C1 and C2.

[0088] Cleaning data acquisition module, put the workpiece to be cleaned into hydrocarbon solvent, and detect the surface tension Bz of hydrocarbon solvent during rough cleaning i , viscosity Nd i and particle concentration Kl i , calculate the initial cleaning variation coefficient Qb of the workpiece to be cleaned.

[0089] The cleaning strategy adjustment module calculates the adjustment cleaning coefficient Tq and the cleaning adjustment threshold T1 according to the initial cleaning variation coefficient Qb and the initial cleaning parameter Sx of the workpiece to be cleaned. a and T2 a , according to the adjustment cleaning coefficient Tq of the workpiece to be cleaned and the cleaning adjustment threshold T1 of its corresponding cleaning strategy a and T2 a The relationship between them can be used to determine whether cleaning parameters need to be adjusted.

[0090] Cleaning stop module to obtain the real-time surface tension Bz of hydrocarbon solvent during rough cleaning n , viscosity Nd n and particle concentration Kl n , when the real-time surface tension Bz n , viscosity Nd n and particle concentration Kl n When both are less than 0, it indicates that the rough cleaning of the current workpiece to be cleaned is completed, and the workpiece to be cleaned is taken out from the rough cleaning tank.

[0091] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0092] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0093] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. An intelligent control method for a hydrocarbon cleaning machine, characterized in that: It includes the following steps: Detect the weight Za and volume Tj of the workpiece to be cleaned, the surface tension, viscosity, and particulate matter concentration of the hydrocarbon solvent in the rough cleaning tank, calculate the initial cleaning parameter Sx, the initial cleaning thresholds C1 and C2, and determine the initial cleaning strategy for the workpiece to be cleaned based on the relationship between the initial cleaning parameter Sx of the workpiece to be cleaned and the initial cleaning thresholds C1 and C2; Put the workpiece to be cleaned into the hydrocarbon solvent and test the surface tension Bz of the hydrocarbon solvent during the rough cleaning process. i , viscosity Nd i and particle concentration Kl i , calculate the initial cleaning variation coefficient Qb of the workpiece to be cleaned, and calculate the adjustment cleaning coefficient Tq and cleaning adjustment threshold T1 in combination with the initial cleaning parameter Sx of the workpiece to be cleaned a and T2 a , according to the adjustment cleaning coefficient Tq of the workpiece to be cleaned and the cleaning adjustment threshold T1 of its corresponding cleaning strategy a and T2 a The relationship between them can be used to determine whether cleaning parameters need to be adjusted.

2. A method for intelligent control of a hydrocarbon cleaning machine according to claim 1, wherein: Install a gravity sensor on the cleaning basket of the hydrocarbon cleaning machine, detect the weight Za of the workpiece to be cleaned before the workpiece to be cleaned is placed in the hydrocarbon solvent, and use a liquid level gauge to detect the liquid level of the hydrocarbon solvent before and after the workpiece to be cleaned is placed in the hydrocarbon solvent. After calculating the difference in liquid levels before and after, combined with the bottom area of the rough cleaning tank, calculate the volume Tj of the workpiece to be cleaned, where the volume of the workpiece to be cleaned is the product of the difference in liquid levels before and after and the bottom area of the rough cleaning tank; Before the workpiece to be cleaned is placed in the hydrocarbon solvent, use a surface tension meter to detect the surface tension of the hydrocarbon solvent in the rough cleaning tank, a viscometer to detect the viscosity, and a particulate matter detector to detect the particulate matter concentration, denoted as the first surface tension Dz, the first viscosity Dn, and the first particulate matter concentration Dk.

3. A method for intelligent control of a hydrocarbon cleaning machine according to claim 2, wherein: Obtain the weight Za, volume Tj, first surface tension Dz, first viscosity Dn, and first particulate matter concentration Dk of the workpiece to be cleaned, and calculate the initial cleaning parameter Sx: Among them, Dz b Dn is the initial surface tension of the hydrocarbon solvent, that is, the surface tension of the hydrocarbon solvent that has just been put into use and has never been cleaned. b is the initial surface viscosity of the hydrocarbon solvent, Dk b is the initial particle concentration of hydrocarbon solvent.

4. A method for intelligent control of a hydrocarbon cleaning machine according to claim 3, wherein: Using the average of the initial cleaning parameters of all workpieces to be cleaned And standard deviation σSx to calculate the initial cleaning thresholds C1 and C2, as follows: The calculation formulas for the corresponding initial cleaning thresholds C1 and C2 are as above.

5. A method for intelligent control of a hydrocarbon cleaning machine according to claim 4, wherein: Determine the initial cleaning strategy for the workpiece to be cleaned based on the relationship between the initial cleaning parameter Sx of the workpiece to be cleaned and the initial cleaning thresholds C1 and C2, specifically: When Sx < C1, select a low-power cleaning strategy, and start cleaning with the lowest gears for ultrasonic power, temperature, and pressure; When C1 ≤ Sx < C2, select a medium-power cleaning strategy, and start cleaning with the medium gears for ultrasonic power, temperature, and pressure; When C2 ≤ Sx, select a high-power cleaning strategy, and start cleaning with the highest gears for ultrasonic power, temperature, and pressure.

6. A method for intelligent control of a hydrocarbon cleaning machine according to claim 1, wherein: Place the workpiece to be cleaned in hydrocarbon solvent and periodically test the surface tension Bz of the hydrocarbon solvent during the rough cleaning process. i , viscosity Nd i and particle concentration Kl i , calculate the initial cleaning variation coefficient Qb of the workpiece to be cleaned: Wherein, i represents the time sequence number of the detection data of the hydrocarbon solvent during the rough cleaning process, and i = 1, 2,..., n.

7. A method for intelligent control of a hydrocarbon cleaning machine according to claim 6, wherein: Obtain the initial cleaning change coefficient Qb and the initial cleaning parameter Sx of the workpiece to be cleaned, and calculate the adjustment cleaning coefficient Tq: in, It represents the mean value of the initial cleaning variation coefficient of all workpieces to be cleaned. Represents the mean of the initial cleaning parameters of all workpieces to be cleaned.

8. A method for intelligent control of a hydrocarbon cleaning machine according to claim 7, wherein: Using the average value of the adjusted cleaning coefficient of all workpieces to be cleaned under each initial cleaning strategy and standard deviation σTq a To calculate the cleaning adjustment threshold T1 a and T2 a , as follows: Wherein, a represents the number of each initial cleaning strategy, a = 1 represents a low-power cleaning strategy, a = 2 represents a medium-power cleaning strategy, and a = 3 represents a high-power cleaning strategy.

9. A method for intelligent control of a hydrocarbon cleaning machine according to claim 8, wherein: According to the adjustment cleaning coefficient Tq of the workpiece to be cleaned and the cleaning adjustment threshold T1 of its corresponding cleaning strategy a and T2 a The relationship between the cleaning parameters is used to determine whether the cleaning parameters need to be adjusted. Specifically: When Tq <T1 a When T1 a ≤Tq <T2 a When T2 a When ≤Tq, increase the ultrasonic power and temperature.

10. An intelligent control system for a hydrocarbon cleaning machine, used to implement the methods described in claims 1 to 9, characterized in that: It includes: The data collection module for cleaning is used to collect the weight Za and volume Tj of the workpiece to be cleaned before cleaning, and the first surface tension Dz, the first viscosity Dn and the first particle concentration Dk of the hydrocarbon solvent; The initial cleaning strategy analysis module calculates the initial cleaning parameter Sx, the initial cleaning thresholds C1 and C2 according to the weight Za and volume Tj of the workpiece to be cleaned and the first surface tension Dz, the first viscosity Dn and the first particle concentration Dk of the hydrocarbon solvent, and determines the initial cleaning strategy of the workpiece to be cleaned according to the relationship between the initial cleaning parameter Sx and the initial cleaning thresholds C1 and C2 of the workpiece to be cleaned; Cleaning data acquisition module, put the workpiece to be cleaned into hydrocarbon solvent, and detect the surface tension Bz of hydrocarbon solvent during rough cleaning i , viscosity Nd i and particle concentration Kl i , calculate the initial cleaning variation coefficient Qb of the workpiece to be cleaned; The cleaning strategy adjustment module calculates the adjustment cleaning coefficient Tq and the cleaning adjustment threshold T1 according to the initial cleaning variation coefficient Qb and the initial cleaning parameter Sx of the workpiece to be cleaned. a and T2 a , according to the adjustment cleaning coefficient Tq of the workpiece to be cleaned and the cleaning adjustment threshold T1 of its corresponding cleaning strategy a and T2 a The relationship between the parameters can be used to determine whether cleaning parameters need to be adjusted; Cleaning stop module to obtain the real-time surface tension Bz of hydrocarbon solvent during rough cleaning n , viscosity Nd n and particle concentration Kl n , when the real-time surface tension Bz n , viscosity Nd n and particle concentration Kl n When both are less than 0, it indicates that the rough cleaning of the current workpiece to be cleaned is completed, and the workpiece to be cleaned is taken out from the rough cleaning tank.

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