Automatic control system of intelligent multi-channel cleaning machine

Abstract

The present application relates to the technical field of cleaning machine, especially to an automatic control system of intelligent multi-channel cleaning machine, which prepares water source of cleaning product through a water tank, places and vibrates products through a vibration table, sprays the water source to the vibration table to clean the products, and returns the water source after cleaning the products to the water tank to filter again to recycle the water source for cleaning, adjusts the water source flow through a flow adjusting module during the cleaning process, detects the particle condition in the water return process through a particle detecting module to determine the average particle size, judges the cleaning process based on the average particle size, determines whether the cleaning is up to standard based on the judgment result and the total number of particles, determines the reason based on the average particle size and generates an instruction when the cleaning is not up to standard, adjusts the corresponding parameters in the system according to the instruction, and then improves the cleaning process, thereby improving the cleaning efficiency of the system.

Description

Technical Field

[0001] This invention relates to the field of cleaning machine technology, and in particular to an automatic control system for an intelligent multi-channel cleaning machine. Background Technology

[0002] With the continuous improvement of industrial automation, multi-channel cleaning equipment is increasingly widely used in precision manufacturing fields such as semiconductors, automobile manufacturing, medical devices, and electronic components. However, existing cleaning equipment lacks a real-time sensing feedback mechanism, making it impossible to dynamically optimize the cleaning process based on data such as water turbidity or pollutant residue detection to achieve automatic control of the cleaning equipment.

[0003] Chinese Patent Publication No. CN114602882A discloses an automatic cleaning system for a precision assembly workshop and its cleaning and inspection method. This technical solution uses a solvent filtration module, a solvent delivery and pipeline cleaning module, and a cleaning station module to rinse parts or pipelines. Then, a particle size detection module detects the particle size of the solvent before and after cleaning to quantify the cleaning effect. A waste liquid recovery module recovers the cleaning waste liquid, thus achieving automatic cleaning and inspection of precision instrument components. While this technical solution involves quantifying the cleaning effect by detecting particles during the cleaning process, it only achieves detection and does not integrate the detection process with the cleaning process for automatic equipment control, which may affect cleaning efficiency. Summary of the Invention

[0004] Therefore, the present invention provides an automatic control system for an intelligent multi-channel cleaning machine to overcome the problem of low cleaning efficiency caused by the low degree of automation control in the cleaning process of existing cleaning equipment.

[0005] To achieve the above objectives, the present invention provides an automatic control system for an intelligent multi-channel cleaning machine, comprising:

[0006] Water tank, used to prepare water for cleaning various products;

[0007] The cleaning mechanism includes several vibration tables for placing corresponding products to be cleaned, and the vibration tables are used to vibrate the products to be cleaned.

[0008] The pipe assembly includes several outlet pipes and return pipes respectively connected to each of the vibration tables, and water pumps respectively connected to the outlet pipes and return pipes. The other end of each outlet pipe and each return pipe is connected to the water tank. The water pump is used to spray the water source to the vibration table through the outlet pipe and to return the water source that has been used to clean the product to the water tank through the return pipe.

[0009] A flow regulation module, which is connected to each of the water outlet pipes, is used to regulate the flow rate of the water source in real time;

[0010] A particle detection module, which is connected to each of the return water pipes, is used to detect particle data in the return water pipes to determine the average particle size within a preset cleaning cycle.

[0011] The analysis module, which is connected to the particle detection module, is used to determine whether the cleaning of the product in the current cycle meets the standard based on the average particle size, and when an abnormality is found in the cleaning process, to re-determine the cause of the abnormality by combining the total number of particles in the preset cleaning cycle and to generate corresponding instructions to determine the preset cleaning cycle, or to determine the operating amplitude of the vibration table, or to control the flow adjustment module to adjust the flow rate.

[0012] The control module is connected to the analysis module, the vibration table, and the flow regulation module respectively, and is used to adjust the preset cleaning cycle, the operating amplitude, or the flow rate based on the instructions.

[0013] Furthermore, the analysis module is also used to determine whether the cleaning of the product meets the standard based on the comparison result between the average particle size and the preset average particle size, and to obtain the number of qualified particles and the number of unqualified particles based on the determination result and the total number of particles in the preset cleaning cycle, and to determine whether the cleaning meets the standard.

[0014] The analysis module is also used to determine the reason for failure to meet the cleaning standard based on the difference between the average particle size and the preset average particle size when it is determined that the cleaning is not up to standard.

[0015] The preset average particle size includes a first preset average particle size and a second preset average particle size that is greater than the first preset average particle size. The number of qualified particles is the number of particles in the total number of particles whose particle size is less than or equal to the first preset average particle size. The number of unqualified particles is the number of particles in the total number of particles whose particle size is greater than the second preset average particle size.

[0016] Furthermore, the analysis module is also used to determine whether to extend the preset cleaning cycle based on the comparison result of the first particle ratio and the second particle ratio;

[0017] Wherein, the first particle percentage is the ratio of the number of compliant particles to the total number of particles, and the second particle percentage is the ratio of the number of non-compliant particles to the total number of particles.

[0018] Furthermore, the analysis module is also used to generate corresponding instructions based on the comparison results of the particle ratio difference and the preset particle ratio difference to determine the extension of the preset cleaning cycle, and the extension range is negatively correlated with the particle ratio difference.

[0019] The control module is also used to control the cleaning mechanism to extend the preset cleaning cycle based on the instructions;

[0020] Wherein, the particle ratio difference is the difference between the first particle ratio and the second particle ratio.

[0021] Furthermore, the analysis module is also used to determine the reasons why the cleaning of the product did not meet the standards based on the comparison results between the average particle size difference and the critical average particle size difference.

[0022] The analysis module is also used to generate corresponding instructions based on the cause to issue a notification that the particle detection module has malfunctioned, or to draw a time-particle size difference curve based on the judgment result, the preset cleaning cycle and the average particle size difference, and obtain several curve slopes to redetermine the corresponding processing.

[0023] Wherein, the average particle size difference is the difference between the average particle size and the preset average particle size; the preset cleaning cycle is divided into several cleaning time nodes, each cleaning time node corresponds to an average particle size difference, the time-particle size difference curve is plotted based on each cleaning time node and each average particle size difference, and several curve slopes are obtained based on the time-particle size difference curve.

[0024] Furthermore, the analysis module is also used to determine whether to increase the operating amplitude of the vibration table based on the distribution of positive and negative slopes among the slopes of several curves, wherein the distribution includes an alternating distribution of positive and negative slopes on the time axis.

[0025] Furthermore, the analysis module is also used to determine to increase the operating amplitude when the slopes of several curves alternate between positive and negative, and to generate corresponding instructions to increase the operating amplitude based on the comparison results of the particle size ratio and the preset particle size ratio, wherein the increase is positively correlated with the particle size ratio.

[0026] The control module is also used to control the vibration table to increase the operating amplitude based on the instructions;

[0027] Wherein, the particle size ratio is the ratio of the average particle size difference to the critical average particle size difference.

[0028] Furthermore, the analysis module is also used to determine whether to increase the flow rate based on the comparison result between the number of positive slopes and the number of critical positive slopes.

[0029] Furthermore, the analysis module is also used to determine to increase the flow rate when the number of positive slopes is greater than the number of critical positive slopes, and to generate a corresponding instruction to increase the flow rate based on the comparison result of the average slope and the preset average slope, wherein the increase is positively correlated with the slope difference;

[0030] The control module is also used to control the flow regulation module to increase the flow rate based on the instruction;

[0031] Specifically, the absolute value of the difference between the slope of each curve and zero is obtained and the average value is calculated to obtain the mean slope.

[0032] Furthermore, the analysis module is also used to reacquire the number of positive slopes and compare it with the number of critical positive slopes after the flow rate increase is completed to determine whether to issue a notification to replace the filter device of the water tank.

[0033] The analysis module is also used to generate a corresponding instruction to replace the filter device when the number of positive slopes is greater than the number of critical positive slopes.

[0034] The control module is also used to issue a notification to replace the filter device based on the instruction.

[0035] Compared with existing technologies, the automatic control system of the intelligent multi-channel cleaning machine of the present invention has the following advantages: the system prepares the water source for cleaning products through a water tank, places and vibrates the products on a vibrating table to shake off impurities attached to the products, and sprays water onto the vibrating table to clean the products. The water source used for cleaning the products is then returned to the water tank for re-filtration to recycle the water source for cleaning. During the cleaning process, the water flow rate is adjusted by a flow regulation module, and the particle detection module detects the particle situation during the return water process to determine the average particle size. The cleaning process is judged based on the average particle size, and the cleaning standard is determined based on the judgment result and the total number of particles. If the standard is not met, the cause is determined based on the average particle size and an instruction is generated. The corresponding parameters in the system are adjusted according to the instruction to improve the cleaning process and thus improve the cleaning efficiency of the system.

[0036] Furthermore, the present invention can further combine the total number of particles detected within a preset cleaning cycle, the number of qualified particles, and the number of unqualified particles with the comparison result between the average particle size and the preset average particle size to make a secondary judgment, thereby improving the accuracy of the judgment process.

[0037] Furthermore, the present invention can also determine the extension adjustment of the preset cleaning cycle to improve cleaning efficiency based on the comparison result of the first particle ratio and the second particle ratio, and also determine different extension ranges for the preset cleaning cycle based on the comparison result of the particle ratio difference and the preset particle ratio difference to achieve precise control of the cleaning time.

[0038] Furthermore, when determining the reason for the failure of cleaning by comparing the average particle size difference with the critical average particle size difference, the present invention can determine the corresponding treatment based on the reason, including issuing a notification that the particle detection module has malfunctioned, or drawing a time-particle size difference curve based on the judgment result combined with the preset cleaning cycle and the average particle size difference, and redetermining the corresponding treatment based on the curve.

[0039] Furthermore, when redetermining the corresponding processing, the present invention also makes a judgment based on the slope of several curves in the curve, determines to increase the operating amplitude of the vibration table to improve cleaning efficiency based on the distribution of positive and negative slopes, and determines different increases in the operating amplitude of the vibration table based on the comparison results of the particle size ratio and the preset particle size ratio to achieve precise control of the vibration process.

[0040] Furthermore, the present invention also determines to increase the flow rate of the water source to improve cleaning efficiency based on the comparison results of the number of positive slopes and the number of critical positive slopes, and determines different increases in the flow rate to achieve precise control of the water flow size for cleaning based on the comparison results of the average slope value and the preset average slope value. Attached Figure Description

[0041] Figure 1 This is a schematic diagram of the automatic control system of the intelligent multi-channel cleaning machine in this embodiment;

[0042] Figure 2 This is a flowchart illustrating the automatic control method of the intelligent multi-channel cleaning machine in this embodiment;

[0043] Figure 3 This embodiment presents a logic diagram for determining whether the cleaning of a product meets the standards and for corresponding processing based on the average particle size.

[0044] Figure 4 This is a logic diagram for determining the reasons for failure to meet cleaning standards and the corresponding processing based on the average particle size difference in this embodiment. Detailed Implementation

[0045] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0046] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0047] It should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the term "connection" should be interpreted broadly. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0048] Please see Figure 1The diagram shown is a modular schematic of the automatic control system of the intelligent multi-channel cleaning machine in this embodiment. The system in this embodiment includes a water tank, a cleaning mechanism, pipe assemblies, a flow regulation module, a particle detection module, an analysis module, and a control module. The water tank includes a filtration device and a water storage device. The filtration device filters water containing impurities and then stores the water in the storage device to be used as a water source for cleaning products. The products include liquid-cooled modules, water-cooled plates, and water-cooling heads, etc. The filtration device includes a mechanical filtration section and a fine filtration section. The water source can be deionized water / ultrapure water. The cleaning mechanism includes several vibration tables for placing the corresponding products to be cleaned. The vibration tables vibrate the products to be cleaned. Each vibration table includes a vibration generator. The vibration generator drives the table surface to vibrate at a certain amplitude, thereby vibrating the products to shake off attached impurities. The pipe assembly includes several outlet pipes and several return pipes, as well as water pumps connected to the outlet and return pipes respectively. One end of each outlet pipe is connected to a vibrating table, and the other end is connected to a water storage device. One end of each return pipe is connected to the vibrating table, and the other end is connected to a filtration device. The water pumps are used to propel water from the water storage device through the outlet pipes to the vibrating table for product cleaning, and also to return the water used for product cleaning to the filtration device through the return pipes for impurity filtration. The water pumps are installed in a water tank. The flow regulation module is connected to each outlet pipe to regulate the water flow rate in real time. The flow regulation module regulates the water flow rate by adjusting the valves installed at the outlets of each outlet pipe, and can also regulate the water flow velocity by adjusting the suction force of the water pump, thereby regulating the water flow rate. The particle detection module is connected to each return water pipe to detect particle data in the return water pipe to determine the average particle size within a preset cleaning cycle. Particle detection is performed after the product to be cleaned has been cleaned for a period of time. The average particle size is the average of the particle sizes of all particles detected within the detection cycle. It should be noted that as the cleaning proceeds normally, the average particle size obtained within the detection cycle becomes smaller and smaller, indicating that the cleaning process is normal and the cleaning of the product within the preset cleaning cycle meets the requirements.The analysis module is connected to the particle detection module to determine whether the cleaning of the product within the current cycle meets the standards based on the average particle size. When an anomaly is detected in the cleaning process, it combines the total number of particles within a preset cleaning cycle to re-determine the cause of the anomaly and generate corresponding instructions to determine the preset cleaning cycle, the operating amplitude of the vibration table, or the flow rate adjustment module to adjust the flow rate. Specifically, when determining whether the cleaning process meets the standards based on the average particle size, it can further determine the distribution of particles within different size ranges by combining the total number of particles counted in the current cycle with the corresponding particle size, thereby improving the accuracy of the determination process. If the standards are not met, it can also identify problems in the cleaning process based on the average particle size, and then make targeted adjustments to the system to improve cleaning efficiency. Each instruction can be generated individually or multiple instructions can be generated simultaneously. The control module is connected to the analysis module, the vibration table, and the flow rate adjustment module to adjust the preset cleaning cycle, the operating amplitude, or the flow rate based on instructions. The control module receives instructions generated by the analysis module and performs corresponding adjustments and controls to improve the system's cleaning efficiency.

[0049] Please see Figure 2 The diagram shown is a flowchart illustrating the automatic control method of the intelligent multi-channel cleaning machine in this embodiment. The relevant process includes at least the following steps:

[0050] S1: A water source is prepared in a water tank for cleaning several products;

[0051] S2: Place the corresponding products to be cleaned on several vibrating tables in the cleaning mechanism, and vibrate the products to be cleaned by the vibrating tables.

[0052] S3: Water pumps connected to several outlet pipes spray water from the tank to the corresponding vibration table through the outlet pipes, and water that has been used to clean the products is returned to the tank through several return pipes.

[0053] S4: The flow rate of the water source is adjusted in real time through the flow regulation module connected to each water outlet pipe;

[0054] S5: The particle detection module connected to each return water pipe detects the particle data in the return water pipe to determine the average particle size within the preset cleaning cycle.

[0055] S6: The average particle size is obtained through the analysis module connected to the particle detection module, and it is determined whether the cleaning of the product in the current cycle meets the standard. When it is determined that there is an abnormality in the cleaning process, the cause of the abnormality is re-determined by combining the total number of particles in the preset cleaning cycle and generating corresponding instructions to determine the preset cleaning cycle, or determine the operating amplitude of the vibration table, or control the flow adjustment module to adjust the flow.

[0056] S7: The control module, which is connected to the analysis module, vibration table, and flow regulation module respectively, adjusts the preset cleaning cycle, operating amplitude, or flow rate based on instructions.

[0057] Please see Figure 3 As shown, this is a logic diagram for determining whether the cleaning of a product meets the standards and the corresponding treatment based on the average particle size in this embodiment. The analysis module is also used to determine whether the cleaning of the product meets the standards based on the comparison result between the average particle size and the preset average particle size, and to obtain the number of qualified particles and the number of unqualified particles based on the determination result and the total number of particles in the preset cleaning cycle, and to determine whether the cleaning meets the standards; the analysis module is also used to determine the reason for the unqualified cleaning based on the difference between the average particle size and the preset average particle size when it is determined that the cleaning does not meet the standards; wherein, the preset average particle size includes a first preset average particle size and a second preset average particle size greater than the first preset average particle size, the number of qualified particles is the number of particles with a particle size less than or equal to the first preset average particle size in the total number of particles, and the number of unqualified particles is the number of particles with a particle size greater than the second preset average particle size in the total number of particles.

[0058] Specifically, in this embodiment, historical data collected in the past is analyzed, and statistical methods and the specific products being cleaned are combined to determine the corresponding preset or critical parameter values. To more accurately determine the cleaning process and refine the control parameters, the preset average particle size D0 can be divided into a first preset average particle size D1 and a second preset average particle size D2. Taking a liquid-cooled radiator as the cleaning object, D1 = 14 μm and D2 = 18 μm can be set. The comparison process between the average particle size D and D1 and D2 is as follows:

[0059] If D is less than or equal to D1, it indicates that after a period of cleaning, the particle size detected by the particle detection module is relatively small in overall distribution. This also indicates that the particle size of the remaining particles on the product after cleaning meets the requirements, thus confirming that the cleaning of the product in the current cycle is up to standard. If D is greater than D1 and less than or equal to D2, it indicates that some of the detected particles meet the requirements, but some particles do not, resulting in D being greater than D1. Therefore, further judgment can be made based on the total number of detected particles, thus avoiding reliance on a single indicator and improving the accuracy of the judgment process. By classifying each detected particle by size, the number of qualified and unqualified particles is determined. Then, a judgment is made based on the number of qualified and unqualified particles. Qualified particles are those with a particle size less than or equal to D1, and unqualified particles are those with a particle size greater than D2. If D is greater than D2, it indicates that after a period of cleaning, the particle size of the detected particles is relatively large in the overall distribution, with the vast majority of particles having a size greater than D2. This suggests that as cleaning continues, the particle size of the particles attached to the product remains relatively large, indicating that the particles attached to the product have agglomeration within the specified preset cleaning cycle. This results in the detected particle size remaining relatively large over time, leading to low cleaning efficiency and indicating that the cleaning has not met the standards. It is necessary to analyze the reasons based on the difference between D and D2 and determine the corresponding treatment to improve cleaning efficiency within the preset cleaning cycle and achieve the cleaning standards.

[0060] Furthermore, the analysis module is also used to determine whether to extend the preset cleaning cycle based on the comparison result of the first particle ratio and the second particle ratio; wherein, the first particle ratio is the ratio of the number of qualified particles to the total number of particles, and the second particle ratio is the ratio of the number of non-qualified particles to the total number of particles.

[0061] Specifically, in this embodiment, the comparison process based on the first particle proportion W1 and the second particle proportion W2 is as follows: If W1 is less than W2, it means that the number of particles less than or equal to D1 in the total number of particles is less than the number of particles greater than D2. In this case, D is closer to D greater than D2 in the overall distribution. Therefore, if D is greater than D1 and less than or equal to D2, it can be directly determined that the cleaning has not met the standard. If W1 is greater than or equal to W2, it means that the number of particles less than or equal to D1 in the total number of particles is at least equal to or greater than the number of particles greater than D2. This means that as time goes by, the number of particles less than or equal to D1 will gradually increase. In this case, D is closer to D less than or equal to D1 in the overall distribution. Therefore, when D is greater than D1 and less than or equal to D2, the preset cleaning cycle can be appropriately extended so that D develops along the trend of less than or equal to D1, thereby making the cleaning process meet the standard.

[0062] Furthermore, the analysis module is also used to generate corresponding instructions based on the comparison result of the particle ratio difference and the preset particle ratio difference to determine to extend the preset cleaning cycle, and the extension range is negatively correlated with the particle ratio difference; the control module is also used to control the cleaning mechanism to extend the preset cleaning cycle based on the instructions; wherein, the particle ratio difference is the difference between the first particle ratio and the second particle ratio.

[0063] Specifically, in this embodiment, to refine the determination of the extension range corresponding to the preset cleaning cycle, the preset particle proportion difference P0 can be divided into a first preset particle proportion difference P1 and a second preset particle proportion difference P2. The total number of particles detected within the detection cycle is 100. P1=0.1 and P2=0.3 are set. The smaller P is, the clearer it is that the overall distribution shows a trend of smaller difference between W1 and W2. The number of particles with a value greater than D1 is relatively larger, so the corresponding extension range of the preset cleaning cycle is larger. The preset cleaning cycle is set to 1 minute. The comparison process based on the particle proportion difference P with P1 and P2 is as follows:

[0064] If P is less than or equal to P1, the analysis module generates an instruction for the first cleaning cycle adjustment coefficient, and the control module controls the cleaning mechanism to extend the original preset cleaning cycle by 30% according to the instruction. If P is greater than P1 and less than or equal to P2, the analysis module generates an instruction for the second cleaning cycle adjustment coefficient, and the control module controls the cleaning mechanism to extend the original preset cleaning cycle by 15% according to the instruction. If P is greater than P2, the analysis module generates an instruction for the third cleaning cycle adjustment coefficient, and the control module controls the cleaning mechanism to extend the original preset cleaning cycle by 10% according to the instruction. It is clear that in this embodiment, the specific value of the extension is determined based on the analysis of collected historical data, and can also be set to other values ​​as needed, not limited to the above values. For example, when P is less than or equal to P1, the original preset cleaning cycle can be extended by 40%.

[0065] Please see Figure 4 As shown, this is a logic decision diagram for determining the reasons for unsatisfactory cleaning and the corresponding treatment based on the average particle size difference in this embodiment. The analysis module is also used to determine the reasons for unsatisfactory cleaning of the product based on the comparison results of the average particle size difference and the critical average particle size difference; the analysis module is also used to generate corresponding instructions based on the reasons to issue a notification that the particle detection module has malfunctioned, or to draw a time-particle size difference curve based on the determination results, the preset cleaning cycle, and the average particle size difference, and obtain several curve slopes to redetermine the corresponding treatment; wherein, the average particle size difference is the difference between the average particle size and the preset average particle size; the preset cleaning cycle is divided into several cleaning time nodes, each cleaning time node corresponds to an average particle size difference, the time-particle size difference curve is drawn based on each cleaning time node and each average particle size difference, and several curve slopes are obtained based on the time-particle size difference curve.

[0066] Specifically, in this embodiment, the average particle size difference K is obtained by subtracting D2 from D. A critical average particle size difference K0 = 5μm is set based on the particle size data recorded during the historical cleaning process. The comparison process between K and K0 is as follows:

[0067] If K is less than or equal to K0, it indicates that the difference between D and D2 is relatively small. In this case, the cause of the cleaning failure is determined to be a problem with the particle detection module, and a fault notification is issued for maintenance personnel to repair it. If K is greater than K0, it indicates that the current D exceeds D2 relatively significantly. In this case, it is necessary to re-determine the specific cause. The preset cleaning cycle can be divided into several cleaning time nodes, and an average particle size difference K is obtained for each cleaning time node. The values ​​of each K may not be the same. Based on several cleaning time nodes and several K values, a time-particle size difference curve is plotted, and the slope is calculated to obtain several curve slopes. Based on the slopes of these curves, the cause of the failure and the corresponding handling method are determined.

[0068] The analysis module is also used to determine whether to increase the operating amplitude of the vibration table based on the distribution of positive and negative slopes among the slopes of several curves, wherein the distribution includes an alternating distribution of positive and negative slopes on the time axis.

[0069] Specifically, in this embodiment, the obtained curve slopes are classified as positive or negative. Curve slopes greater than zero are recorded as positive slopes, curve slopes less than zero are recorded as negative slopes, and curve slopes equal to zero are recorded as horizontal lines. Horizontal lines are not involved in subsequent judgment processes. The distribution of positive and negative curve slopes on the time-particle size difference curve determines whether there is an alternation of positive and negative slopes, or whether the number of positive and negative curve slopes is similar, and the difference in the number of positive and negative curve slopes is less than a preset difference. In this case, the preset difference is set to 4. If the above situation occurs, it indicates that the particles have repeatedly deposited during the washing process, causing several average particle size differences K to fluctuate up and down on the time axis. In this case, the operating amplitude of the vibration table is increased to improve the vibration amplitude and avoid deposition. If there is no alternation of positive and negative slopes, or the number of positive and negative curve slopes is similar, the corresponding processing method is re-determined.

[0070] Furthermore, the analysis module is also used to determine to increase the operating amplitude when the slopes of several curves alternate between positive and negative, and to generate corresponding instructions to increase the operating amplitude based on the comparison result of the particle size ratio and the preset particle size ratio, wherein the increase is positively correlated with the particle size ratio; the control module is also used to control the vibration table to increase the operating amplitude based on the instructions; wherein the particle size ratio is the ratio of the average particle size difference to the critical average particle size difference.

[0071] Specifically, in this embodiment, a larger particle size ratio B indicates a larger average particle size difference K, which means a lower cleaning efficiency within the preset cleaning cycle. In this case, it is necessary to increase the operating amplitude of the vibration table to improve the dispersion of impurities. To refine the increase in operating amplitude, the preset particle size ratio B0 can be divided into a first preset particle size ratio B1 and a second preset particle size ratio B2. Based on historical particle size data, B1=1.5 and B2=2 are set. The comparison process between B and B1 and B2 is as follows:

[0072] If B is less than or equal to B1, the analysis module generates an instruction for the first power adjustment coefficient, and the control module controls the cleaning mechanism to increase the original vibration table amplitude by 5% based on the instruction. If B is greater than B1 and less than or equal to B2, the analysis module generates an instruction for the second power adjustment coefficient, and the control module controls the cleaning mechanism to increase the original vibration table amplitude by 8% based on the instruction. If B is greater than B2, the analysis module generates an instruction for the third power adjustment coefficient, and the control module controls the cleaning mechanism to increase the original vibration table amplitude by 12% based on the instruction. It is clear that in this embodiment, the specific value of the increase is determined based on the specific equipment and can be set to other values ​​as needed, not limited to the above values. For example, when B is greater than B2, the original vibration table amplitude can be increased by 10%.

[0073] Furthermore, the analysis module is also used to determine whether to increase the flow rate based on the comparison result between the number of positive slopes and the number of critical positive slopes.

[0074] Specifically, in this embodiment, the number of positive slopes is recorded as the number of positive slopes E, and then compared with the critical number of positive slopes E0 to determine the corresponding treatment. With 30 cleaning time nodes, there are also 30 corresponding average particle size differences K, and E0 is set to 22. If E is greater than or equal to E0, it indicates that the number of positive slopes in the current cycle is relatively high, and the curve on the time-particle size difference curve shows an overall upward trend. As time progresses, the particle volume increases. Therefore, it can be determined that the cleaning is substandard because the water flow rate to the vibrating table is insufficient, preventing the particles from being effectively flushed away. Larger particles are more prone to deposition, leading to particle re-agglomeration. In other cases, when the particles enter the outlet pipe, they are detected as relatively large, resulting in the aforementioned situation. In this case, the water flow rate can be increased to prevent particle re-agglomeration. If E is less than E0, the operating amplitude of the vibrating table can be increased to ensure the cleaning meets the standards.

[0075] Furthermore, the analysis module is also used to determine to increase the flow rate when the number of positive slopes is greater than the number of critical positive slopes, and to generate a corresponding instruction to increase the flow rate based on the comparison result of the average slope and the preset average slope, wherein the increase is positively correlated with the slope difference; the control module is also used to control the flow adjustment module to increase the flow rate based on the instruction; wherein, the absolute value of the difference between the slope of each curve and zero is obtained and the average value is calculated to obtain the average slope.

[0076] Specifically, in this embodiment, the larger the average slope H, the more particles are re-aggregated per unit time, and the lower the cleaning efficiency within the preset cleaning cycle. Therefore, it is necessary to increase the cleaning flow rate to increase the water flow velocity in the vibration table, thereby reducing the number of re-aggregated particles. The initial flow rate is set to 2 L / min, and the flow rate adjustment range is 0.8–8 L / min. To refine the increase in flow rate, the preset average slope H0 can be divided into a first preset average slope H1 and a second preset average slope H2. H is calculated by taking the average of the differences between the slopes of each curve and zero, and then averaging the absolute values ​​of these differences. H1 = 2.5 and H2 = 3.5. The comparison process between H and H1 and H2 is as follows:

[0077] If H is less than or equal to H1, the analysis module generates a command for the first flow rate adjustment, and the control module controls the flow rate adjustment module to adjust the original flow rate to 3.5 L / min according to the command. If H is greater than H1 and less than or equal to H2, the analysis module generates a command for the second flow rate adjustment, and the control module controls the flow rate adjustment module to adjust the original flow rate to 4 L / min according to the command. If H is greater than H2, the analysis module generates a command for the third flow rate adjustment, and the control module controls the flow rate adjustment module to adjust the original flow rate to 5 L / min according to the command. It should be noted that in this embodiment, the specific value of the flow rate increase is determined based on the specific equipment and the average slope value. Other values ​​can also be set as needed, and are not limited to the above values. For example, when H is less than or equal to H1, the original flow rate can be adjusted to 3.8 L / min.

[0078] Furthermore, the analysis module is also used to reacquire the number of positive slopes and compare it with the number of critical positive slopes when the flow rate is increased to determine whether to issue a notification to replace the filter device of the water tank; the analysis module is also used to generate a corresponding instruction to replace the filter device when the number of positive slopes is greater than the number of critical positive slopes; the control module is also used to issue a notification to replace the filter device based on the instruction.

[0079] Specifically, in this embodiment, if the number of positive slopes E is still greater than the critical number of positive slopes E0, it indicates that the failure to meet the cleaning standard is not related to the flow rate. It can be determined that there are too many impurities in the water source, which cause E to be greater than E0 during the cleaning process. The filter device of the water tank needs to be replaced, and the control module issues a notification to replace the filter device according to the instruction.

[0080] It is understood that no specific limitation is made to any preset parameter or critical parameter in the embodiments of the invention, and the above values ​​are not limited to these. Those skilled in the art can adjust the preset parameter or critical parameter accordingly based on actual needs, analysis of historical data, or equipment usage.

[0081] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0082] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An automatic control system for an intelligent multi-channel cleaning machine, characterized in that, include: Water tank, used to prepare water for cleaning various products; A cleaning mechanism, comprising several vibration tables for placing corresponding products to be cleaned, the vibration tables being used to vibrate the products to be cleaned; The pipe assembly includes several outlet pipes and return pipes respectively connected to each of the vibration tables, and water pumps respectively connected to the outlet pipes and return pipes. The other end of each outlet pipe and each return pipe is connected to the water tank. The water pump is used to spray the water source to the vibration table through the outlet pipe and to return the water source that has been used to clean the product to the water tank through the return pipe. A flow regulation module, which is connected to each of the water outlet pipes, is used to regulate the flow rate of the water source in real time; A particle detection module, which is connected to each of the return water pipes, is used to detect particle data in the return water pipes to determine the average particle size within a preset cleaning cycle. The analysis module, which is connected to the particle detection module, is used to determine whether the cleaning of the product in the current cycle meets the standard based on the average particle size, and when an abnormality is found in the cleaning process, to re-determine the cause of the abnormality by combining the total number of particles in the preset cleaning cycle and to generate corresponding instructions to determine the preset cleaning cycle, or to determine the operating amplitude of the vibration table, or to control the flow adjustment module to adjust the flow rate. A control module, which is connected to the analysis module, the vibration table, and the flow regulation module respectively, is used to adjust the preset cleaning cycle, the operating amplitude, or the flow rate based on the command; The analysis module is also used to determine whether the cleaning of the product meets the standard based on the comparison result between the average particle size and the preset average particle size, and to obtain the number of qualified particles and the number of unqualified particles based on the determination result and the total number of particles in the preset cleaning cycle, and to determine whether the cleaning meets the standard. The analysis module is also used to determine the reason for failure to meet the cleaning standard based on the difference between the average particle size and the preset average particle size when it is determined that the cleaning is not up to standard. The preset average particle size includes a first preset average particle size and a second preset average particle size that is greater than the first preset average particle size. The number of qualified particles is the number of particles in the total number of particles whose particle size is less than or equal to the first preset average particle size. The number of unqualified particles is the number of particles in the total number of particles whose particle size is greater than the second preset average particle size. The analysis module is also used to determine the reasons why the cleaning of the product did not meet the standards based on the comparison results between the average particle size difference and the critical average particle size difference. The analysis module is also used to generate corresponding instructions based on the cause to issue a notification that the particle detection module has malfunctioned, or to draw a time-particle size difference curve based on the judgment result, the preset cleaning cycle and the average particle size difference, and obtain several curve slopes to redetermine the corresponding processing. Wherein, the average particle size difference is the difference between the average particle size and the preset average particle size; the preset cleaning cycle is divided into several cleaning time nodes, each cleaning time node corresponds to an average particle size difference, the time-particle size difference curve is plotted based on each cleaning time node and each average particle size difference, and several curve slopes are obtained based on the time-particle size difference curve. The analysis module is also used to determine whether to increase the operating amplitude of the vibration table based on the distribution of positive and negative slopes among the slopes of several curves, wherein the distribution includes an alternating distribution of positive and negative slopes on the time axis.

2. The automatic control system of the intelligent multi-channel cleaning machine according to claim 1, characterized in that, The analysis module is also used to determine whether to extend the preset cleaning cycle based on the comparison results of the first particle ratio and the second particle ratio. Wherein, the first particle percentage is the ratio of the number of compliant particles to the total number of particles, and the second particle percentage is the ratio of the number of non-compliant particles to the total number of particles.

3. The automatic control system of the intelligent multi-channel cleaning machine according to claim 2, characterized in that, The analysis module is also used to generate corresponding instructions based on the comparison results between the particle ratio difference and the preset particle ratio difference to determine the extension of the preset cleaning cycle. The extension range is negatively correlated with the particle ratio difference. The control module is also used to control the cleaning mechanism to extend the preset cleaning cycle based on the instructions; Wherein, the particle ratio difference is the difference between the first particle ratio and the second particle ratio.

4. The automatic control system of the intelligent multi-channel cleaning machine according to claim 1, characterized in that, The analysis module is also used to determine to increase the operating amplitude when the slopes of the curves alternate between positive and negative, and to generate corresponding instructions to increase the operating amplitude based on the comparison results of the particle size ratio and the preset particle size ratio, wherein the increase is positively correlated with the particle size ratio. The control module is also used to control the vibration table to increase the operating amplitude based on the instructions; Wherein, the particle size ratio is the ratio of the average particle size difference to the critical average particle size difference.

5. The automatic control system of the intelligent multi-channel cleaning machine according to claim 1, characterized in that, The analysis module is also used to determine whether to increase the flow rate based on the comparison result between the number of positive slopes and the number of critical positive slopes.

6. The automatic control system of the intelligent multi-channel cleaning machine according to claim 5, characterized in that, The analysis module is also used to determine to increase the flow rate when the number of positive slopes is greater than the number of critical positive slopes, and to generate a corresponding instruction to increase the flow rate based on the comparison result of the average slope and the preset average slope, wherein the increase is positively correlated with the slope difference. The control module is also used to control the flow regulation module to increase the flow rate based on the instruction; Specifically, the absolute value of the difference between the slope of each curve and zero is obtained and the average value is calculated to obtain the mean slope.

7. The automatic control system of the intelligent multi-channel cleaning machine according to claim 6, characterized in that, The analysis module is also used to reacquire the number of positive slopes and compare it with the number of critical positive slopes after the flow rate increase is completed to determine whether to issue a notification to replace the filter device of the water tank. The analysis module is also used to generate a corresponding instruction to replace the filter device when the number of positive slopes is greater than the number of critical positive slopes. The control module is also used to issue a notification to replace the filter device based on the instruction.

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