Real-time monitoring and feedback control system for automatic feeding of metal powder

Abstract

The invention discloses a real-time monitoring and feedback control system for automatic feeding of metal powder, relates to the technical field of metal feeding, and solves the problems that a specific feedback control mode is not set, and the feeding process is adjusted and controlled in real time. The system can automatically reduce the feeding flow rate of the next group of feeding objects, and determines the standard flow rate by monitoring the mass growth characteristics in real time. According to the intelligent adjustment, the influence of static electricity on metal powder conveying is effectively reduced, the feeding execution logic can be optimized according to the actual situation, the feeding accuracy and stability are improved, and for a flow velocity blockage signal, the system can increase the feeding flow velocity of a next group of feeding objects to the maximum state. If the flow velocity characteristic is consistent with the mass increase characteristic, a preset charging execution logic is maintained; if not, a serious blockage signal is generated in time.

Description

Technical Field

[0001] The present invention relates to the technical field of metal feeding, and particularly to a real-time monitoring and feedback control system for automatic feeding of metal powder. Background Art

[0002] Automatic feeding of metal powder is a process in industrial production where, using automated equipment and technologies, metal powder is quantitatively and continuously added to a specific container or processing step according to set requirements, and is widely used in fields such as 3D printing, powder metallurgy, and electronic manufacturing.

[0003] The application with publication number CN103754658B discloses a powder continuous feeding device and a real-time control method. The hopper of the powder continuous feeding device is installed on the weighing platform of a scale located on a bracket; the upper end of the feeding valve is communicated with the discharge port of the hopper, and the lower end of the feeding valve is communicated with the upper end of a rubber tube valve; the lower end of the rubber tube valve is communicated with a feeding pipe; two air hammers are respectively installed on the upper and lower parts of the outer wall of the feeding pipe; during feeding: the feeding amount is controlled by weighing the initial feeding amount and the weight before and after connecting the feeding device to the mixing pot; by adjusting the opening degree of the feeding valve and the switch of the vibrator, the speed control of the feeding process is realized. This invention solves the problem of continuous and smooth feeding of large-weight and small-particle-size powder in a large vertical mixer and the control of its feeding speed and feeding amount, improves product quality, and ensures the safety of the feeding process.

[0004] During the automatic feeding process of its metal powder, when there are flow rate differences in the feeding process, it will lead to relatively large differences in the corresponding feeding quality. When such a situation occurs, generally, the corresponding feeding channel is selected to be closed. However, this method will delay the feeding process, resulting in an extended processing time, and no specific feedback control method is set to adjust and control the feeding process in real time to change the state of the flow rate difference. Summary of the Invention

[0005] In view of the deficiencies of the prior art, the present invention provides a real-time monitoring and feedback control system for automatic feeding of metal powder, which solves the problem of not setting a specific feedback control method to adjust and control the feeding process in real time.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A real-time monitoring and feedback control system for automatic feeding of metal powder, comprising:

[0007] A weighing end for the feeding object, which confirms the overall weight of the feeding object and, based on the confirmed overall weight, evaluates whether the weighing of this feeding object meets the standard. The specific method is as follows:

[0008] Confirm the overall weight of the feeding object after feeding is completed and calibrate it as G;

[0009] If G belongs to the preset interval, no processing is performed. Otherwise, this feeding object is calibrated as an abnormal weighing object;

[0010] The flow rate feature analysis end confirms the flow rate features monitored by the abnormal weighing object during the feeding process, then confirms the feeding process associated with the previous group of feeding objects and the associated flow rate features, compares the two groups of flow rate features, confirms the feedback signal, and transmits the confirmed feedback signal to the feedback signal control end. The specific method is as follows:

[0011] Confirm the feeding period of the abnormal weighing object, confirm the feeding process, and based on the confirmed feeding process, confirm the flow rate associated with the corresponding feeding port during the corresponding feeding period. Based on the different flow rates corresponding to different moments, generate a flow rate change curve associated with the feeding process of this abnormal weighing object and record it as the curve to be measured;

[0012] Then lock the feeding object associated with the previous feeding process of the abnormal weighing object, and synchronously lock the flow rate change curve associated with this feeding object and record it as the standard curve;

[0013] Calibrate the initial moment of the curve to be measured and the standard curve to 0 moment. After the moment calibration, the subsequent associated moments change synchronously. Place the curve to be measured and the standard curve after the moment calibration in the same two-dimensional coordinate system. Calibrate the flow rate associated with different moments in the standard curve as L i , where i represents different moments, and then calibrate the flow rate associated with the corresponding moment in the curve to be measured as X i , and use: (L i - X i ) = C i Confirm the associated difference C i , and mark the moments that satisfy C i > Y1 as abnormal differences, where Y1 is a preset value, and perform variance processing on the confirmed several groups of abnormal differences to confirm the standard variance;

[0014] If the standard variance ≥ Y2, generate an electrostatic presence signal. If the standard variance < Y2, generate a flow rate blockage signal, and transmit the generated electrostatic presence signal or flow rate blockage signal to the feedback signal control end;

[0015] The feedback signal control end executes different feeding control processes based on the received different feedback signals to eliminate the abnormal states existing in the feeding pipeline. The control processes executed include:

[0016] If the received feedback signal is a static electricity presence signal, control the feeding flow rate of the next group of feeding objects to be reduced in real time until the reduced flow rate characteristic is consistent with the mass growth characteristic of the feeding object. Then confirm the standard flow rate. After the feeding of the current feeding object is completed, based on the confirmed standard flow rate and the feeding time, confirm the feeding execution logic and execute this feeding execution logic in the subsequent feeding process. The specific method is as follows:

[0017] When the next group of feeding objects starts to be fed, reduce the feeding flow rate in real time. Reduce one unit of feeding flow rate every time a unit time passes, and calibrate the flow rate after the real-time reduction as LS. During the feeding process, confirm the mass increased by the feeding object within a unit time and calibrate it as ZL. Use: LS×unit time×C1 = ZZ to confirm the associated mass growth characteristic ZZ within the corresponding unit time. If the confirmed mass growth characteristic ZZ within the corresponding unit time is consistent with the mass ZL increased by the feeding object within the corresponding unit time, then calibrate the feeding flow rate associated with the corresponding unit time as the standard flow rate. Based on this standard flow rate and the preset mass to be fed DL of the corresponding feeding object, lock the feeding time when feeding is completed. The feeding time = DL÷standard flow rate÷C1, where C1 is a preset fixed coefficient factor. Generate the feeding execution logic associated with the subsequent feeding objects according to the confirmed standard flow rate and the feeding time; during the feeding process of the next group of feeding objects, stop feeding when the total feeding mass of the feeding object reaches DL;

[0018] If the received feedback signal is a flow rate blockage signal, control the feeding flow rate of the next group of feeding objects to increase to the maximum state until the flow rate characteristic is consistent with the mass growth characteristic of the feeding object. If it is not consistent continuously, generate a serious blockage signal for display. If it is consistent, keep the preset feeding execution logic unchanged and continue to execute the preset feeding execution logic in the subsequent feeding process. The processing method is as follows:

[0019] When the next group of feeding objects starts to be fed, directly control its feeding flow rate to the set maximum value, and determine the growth mass ZL associated with this feeding object within a unit time. Calibrate the maximum value of the controlled feeding flow rate as Vmax. Use Vmax×unit time×C1 = ZZ to confirm the associated mass growth characteristic ZZ within the corresponding unit time. Identify whether its growth mass ZL is consistent with the mass growth characteristic ZZ. If it is consistent, complete this control process and stop feeding when the total feeding mass of this feeding object reaches DL. If it is still not consistent when the total feeding mass of this feeding object reaches DL, generate a serious blockage signal for display.

[0020] The present invention provides a real-time monitoring and feedback control system for automatic feeding of metal powder. Compared with the prior art, it has the following beneficial effects:

[0021] The flow rate feature analysis terminal can compare the flow rate features of abnormal weighing objects with those of normal weighing objects. By generating a flow rate change curve and calculating the standard variance to determine the type of abnormality, whether it is electrostatic interference or pipeline blockage, it can be accurately identified. This enables the system to take corresponding measures at the early stage of the problem, avoid the expansion of the problem, and reduce the risk of production interruption;

[0022] When the feedback signal control terminal receives a signal indicating the presence of static electricity, the system will automatically reduce the feeding flow rate of the next group of feeding objects and determine the standard flow rate by real-time monitoring of the mass growth characteristics. This intelligent adjustment not only effectively reduces the impact of static electricity on the transportation of metal powder, but also optimizes the feeding execution logic according to the actual situation, improving the accuracy and stability of feeding. For example, in the manufacturing of electronic components, the precise transportation of metal powder is crucial for product quality. By this method, problems such as powder adsorption and uneven transportation caused by static electricity can be avoided;

[0023] For the flow rate blockage signal, the system will increase the feeding flow rate of the next group of feeding objects to the maximum state. If the flow rate characteristics are consistent with the mass growth characteristics, the preset feeding execution logic will be maintained; if not, a serious blockage signal will be generated in a timely manner. This processing method can quickly respond to pipeline blockage problems, ensure the continuity of production, and reduce material waste and equipment damage caused by pipeline blockage. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a schematic diagram of the principle framework of the present invention;

[0025] Figure 2 is a schematic diagram for determining the feedback signal of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0027] First Embodiment

[0028] Please refer to Figure 1 , this application provides a real-time monitoring and feedback control system for automatic feeding of metal powder, including a weighing terminal for feeding objects, a flow rate feature analysis terminal, a feedback signal control terminal, and a precision debugging terminal. Among them, the weighing terminal for feeding objects is electrically connected to the input node of the flow rate feature analysis terminal, and the flow rate feature analysis terminal is electrically connected to the input node of the feedback signal control terminal, and there is a two-way connection between the feedback signal control terminal and the precision debugging terminal;

[0029] Among them, at the weighing end of the feeding object, the overall weight of the feeding object is confirmed, and based on the confirmed overall weight, it is evaluated whether the weighing of this feeding object meets the standard. If it meets the standard, no processing is required. If it does not meet the standard, the flow rate characteristic analysis end is executed to perform a flow rate analysis. The specific method of evaluation is as follows:

[0030] Confirm the overall weight of the feeding object after feeding is completed, and calibrate it as G (the feeding object after feeding will pass through the corresponding pushing mechanism and be pushed to the weighing place, where the weighing place can directly weigh the overall weight of the feeding object to evaluate whether the quality associated with this feeding object meets the standard);

[0031] If G belongs to the preset interval, no processing is performed, indicating that the feeding process of this feeding object meets the standard. Otherwise, this feeding object is calibrated as an abnormally weighed object, and the subsequent module is executed to perform a numerical analysis on the weighing process of this abnormally weighed object to evaluate whether its weighing process is abnormal;

[0032] Among them, the flow rate characteristic analysis end confirms the flow rate characteristics monitored by the abnormally weighed object during the feeding process, and then confirms the feeding process associated with the previous group of feeding objects (that is, the normally weighed objects) and the associated flow rate characteristics, compares the two groups of flow rate characteristics, confirms the feedback signal, and transmits the confirmed feedback signal to the feedback signal control end. The specific method of comparison is as follows:

[0033] Confirm the feeding period of the abnormally weighed object, confirm the feeding process, and based on the confirmed feeding process, confirm the flow rate associated with the corresponding feeding port during the corresponding feeding period. Based on the different flow rates corresponding to different times, generate a flow rate change curve associated with the feeding process of this abnormally weighed object, and record it as the curve to be measured;

[0034] Then lock the feeding object associated with the previous feeding process of the abnormally weighed object, and synchronously lock the flow rate change curve associated with this feeding object, and record it as the standard curve;

[0035] Combine Figure 2 , so that the initial moments of the curve to be measured and the standard curve are calibrated to 0 moment. After the moment calibration, the subsequent associated moments change synchronously. Place the curve to be measured and the standard curve after the moment calibration in the same two-dimensional coordinate system, and calibrate the flow rate associated with different moments in the standard curve as L i , where i represents different moments, and then calibrate the flow rate associated with the corresponding moment in the curve to be measured as X i , and use: (L i -X i ) = C i to confirm the associated difference C i , and the C that satisfies iThe moment greater than Y1 is recorded as an abnormal difference, where Y1 is a preset value, and its specific value is determined by the operator according to experience. Variance processing is performed on several groups of confirmed abnormal differences to confirm the standard variance. Specifically, the mean value of the confirmed abnormal differences is determined to lock the abnormal mean value, and then the abnormal differences are sequentially compared and verified with the abnormal mean value to lock the specific variance;

[0036] If the standard variance ≥ Y2, an electrostatic presence signal is generated. If the standard variance < Y2, a flow rate blockage signal is generated, and the generated electrostatic presence signal or flow rate blockage signal is transmitted to the feedback signal control terminal;

[0037] Specifically, when the difference is relatively consistent during the verification process between the measured curve associated with the corresponding detection object and the standard curve, the generated standard variance is relatively small. When the difference is relatively consistent, it indicates that there is a blockage in the corresponding pipeline, resulting in a low and constant flow rate. Therefore, a corresponding flow rate blockage signal is generated. If the difference is relatively large, it indicates that there is static electricity in the corresponding pipeline due to friction. The static electricity adsorbs the transported metal powder. As the static electricity gradually increases, its adsorption ability becomes stronger, which will cause the difference to gradually increase. Therefore, the generated standard variance is relatively large. When the variance is large, it belongs to the situation of static electricity existence, so a corresponding electrostatic presence signal is directly generated.

[0038] Second Embodiment

[0039] This embodiment mainly focuses on the control process during the feeding process, and relevant control is performed by the corresponding feedback signal control terminal;

[0040] Based on the received different feedback signals, its feedback signal control terminal executes different feeding control processes to eliminate the abnormal states existing in the feeding pipeline. The control processes executed include:

[0041] If the received feedback signal is an electrostatic presence signal, the feeding flow rate of the next group of feeding objects is controlled to be reduced in real time until the reduced flow rate characteristics are consistent with the mass growth characteristics of the feeding objects. Then, the standard flow rate is confirmed. After the feeding of the current feeding object is completed, based on the confirmed standard flow rate and feeding time, the feeding execution logic is confirmed, and this feeding execution logic is executed in the subsequent feeding process;

[0042] The specific method for confirming the feeding execution logic is as follows:

[0043] When the next feeding object starts feeding, the feeding flow rate is reduced in real time. For each unit time passed, the feeding flow rate is reduced by one unit (the unit time is a preset value, generally 2 seconds or 5 seconds, and the unit by which the feeding flow rate is reduced is the numerical unit associated with the feeding flow rate). The flow rate after the real-time reduction is calibrated as LS. During the feeding process, the mass increase of the feeding object within the unit time is confirmed and calibrated as ZL. Using: LS × unit time × C1 = ZZ to confirm the mass increase characteristic ZZ associated with the corresponding unit time. If the mass increase characteristic ZZ confirmed within the corresponding unit time is consistent with the mass ZL increased by the feeding object within the corresponding unit time, then the feeding flow rate associated with the corresponding unit time is calibrated as the standard flow rate. Based on this standard flow rate and the preset mass to be fed DL of the corresponding feeding object, the feeding completion time is locked. The feeding time = DL ÷ standard flow rate ÷ C1, where C1 is a preset fixed coefficient factor, and its specific value is determined by the operator according to experience. According to the confirmed standard flow rate and feeding time, the feeding execution logic associated with the subsequent feeding object is generated. When the total feeding mass of the current feeding object reaches DL, the feeding stops;

[0044] If the received feedback signal is a flow rate blockage signal, then control the feeding flow rate of the next feeding object to increase to the maximum state until the flow rate characteristic is consistent with the mass increase characteristic of the feeding object. If it remains inconsistent continuously, then generate a severe blockage signal for display. If it is consistent, then keep the preset feeding execution logic unchanged and continue to execute the preset feeding execution logic in the subsequent feeding process;

[0045] The specific method for evaluating that the flow rate characteristic is consistent with the mass increase characteristic of the feeding object is as follows:

[0046] When the next feeding object starts feeding, directly control its feeding flow rate to the set maximum value, and determine the increased mass ZL associated with this feeding object within the unit time. Calibrate the maximum value of the controlled feeding flow rate as Vmax. Using Vmax × unit time × C1 = ZZ to confirm the mass increase characteristic ZZ associated with the corresponding unit time. Identify whether its increased mass ZL is consistent with the mass increase characteristic ZZ. If it is consistent, then complete this control process, and stop feeding when the total feeding mass of this feeding object reaches DL. If it is still inconsistent when the total feeding mass of this feeding object reaches DL, then generate a severe blockage signal for display for external personnel to view, and relevant external personnel need to dredge such pipelines.

[0047] For the relevant feeding process of the static electricity presence signal, there are the following experimental data:

[0048]

[0049] It can be seen that when the fourth group of flow rate decline processes is executed here, the associated growth quality and quality growth characteristics are consistent. Therefore, the confirmed final standard flow rate is 1;

[0050] There are the following experimental data for the flow rate blockage signal:

[0051]

[0052] It can be seen that when the third group of flow rate decline processes is executed here, the associated growth quality and quality growth characteristics are consistent, which means that the blockage situation inside the pipeline has been resolved accordingly. Subsequently, the relevant operations can be carried out according to the originally set operating logic.

[0053] Some of the data in the above formula are numerically calculated after removing their dimensions, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0054] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A real-time monitoring and feedback control system for automatic feeding of metal powder, characterized in that: include: The weighing end of the added object confirms the overall weight of the added object and, based on the confirmed overall weight, assesses whether the added object meets the weight standard; The flow rate characteristic analysis end confirms the flow rate characteristic monitored by the abnormal weighing object during the feeding process, and then confirms the feeding process and the associated flow rate characteristic associated with the previous group of feeding objects, compares the two groups of flow rate characteristics, confirms the feedback signal, and transmits the confirmed feedback signal to the feedback signal control end; The feedback signal control end executes different feeding control processes based on different feedback signals received to eliminate abnormal conditions in the feeding pipeline.

2. A real-time monitoring and feedback control system for automatic feeding of metal powder according to claim 1, characterized in that: The specific method of evaluating the weighing end of the feeding object is as follows: Confirm the overall weight of the object after feeding and mark it as G; If G∈the preset interval, no processing is performed; otherwise, the added object is marked as an abnormal weighing object.

3. A real-time monitoring and feedback control system for automatic feeding of metal powder according to claim 1, characterized in that: The specific method of comparing the two sets of flow velocity characteristics at the flow velocity characteristic analysis end is: Confirm the feeding time period of the abnormal weighing object, confirm the feeding process, and confirm the flow rate associated with the corresponding feeding port in the corresponding feeding time period based on the confirmed feeding process, and generate a flow rate change curve associated with the feeding process of the abnormal weighing object based on different flow rates corresponding to different times, and record it as a curve to be measured; Then lock the feeding object associated with the previous group of feeding processes of the abnormal weighing object, and synchronously lock the flow rate change curve associated with this feeding object, and record it as the standard curve; The initial time of the curve to be tested and the standard curve is calibrated to time 0. After the time is calibrated, the subsequent associated time changes synchronously. The curve to be tested and the standard curve after the time calibration are placed in the same two-dimensional coordinate system, and the flow rate associated with different times in the standard curve is calibrated as L i , where i represents different moments, and the velocity associated with the corresponding moment in the curve to be measured is calibrated as X i , using: (L i -X i )=C i Confirm the correlation difference C i , will satisfy C i The moment when Y1 is greater than is recorded as an abnormal difference, where Y1 is a preset value, and variance processing is performed on several confirmed groups of abnormal differences to confirm the standard variance; If the standard deviation is ≥ Y2, a static electricity presence signal is generated; if the standard deviation is < Y2, a flow rate blockage signal is generated, and the generated static electricity presence signal or flow rate blockage signal is transmitted to the feedback signal control terminal.

4. A real-time monitoring and feedback control system for automatic feeding of metal powder according to claim 3, characterized in that: The control process executed by the feedback signal control end includes: If the received feedback signal is a static electricity presence signal, the feeding flow rate of the next group of feeding objects is controlled to be reduced in real time until the reduced flow rate characteristics are consistent with the mass growth characteristics of the feeding objects, and the standard flow rate is confirmed. After the feeding of the current feeding objects is completed, the feeding execution logic is confirmed based on the confirmed standard flow rate and feeding time, and the feeding execution logic is executed in the subsequent feeding process; If the received feedback signal is a flow rate blockage signal, the feeding flow rate of the next group of feeding objects is controlled to increase to the maximum state until the flow rate characteristics are consistent with the mass growth characteristics of the feeding objects. If they continue to be inconsistent, a serious blockage signal is generated for display. If they are consistent, the preset feeding execution logic is kept unchanged, and the preset feeding execution logic continues to be executed in the subsequent feeding process.

5. A real-time monitoring and feedback control system for automatic feeding of metal powder according to claim 4, characterized in that: The feedback signal control end confirms the specific method of the feeding execution logic associated with the static electricity signal: When the next group of feeding objects starts to feed, the feeding flow rate is reduced in real time, and the feeding flow rate is reduced by one unit for each group of unit time, and the flow rate after real-time reduction is calibrated as LS, and in the feeding process, the mass increased by the feeding object in unit time is confirmed and calibrated as ZL, and the mass growth feature ZZ associated with the corresponding unit time is confirmed using: LS×unit time×C1=ZZ. If the mass growth feature ZZ confirmed in the corresponding unit time is consistent with the mass ZL increased by the feeding object in the corresponding unit time, the feeding flow rate associated with the corresponding unit time is calibrated as the standard flow rate. Based on this standard flow rate and the preset mass to be added DL of the corresponding feeding object, the feeding time when the feeding is completed is locked, and the feeding time=DL÷standard flow rate÷C1, wherein C1 is a preset fixed coefficient factor, and the feeding execution logic associated with the subsequent feeding objects is generated according to the confirmed standard flow rate and feeding time.

6. A real-time monitoring and feedback control system for automatic feeding of metal powder according to claim 5, characterized in that: In the feeding process of the next group of feeding objects, the feeding is stopped when the total feeding mass of the feeding objects reaches DL.

7. A real-time monitoring and feedback control system for automatic feeding of metal powder according to claim 4, characterized in that: The feedback signal control end processes the flow rate blockage signal in the following manner: When the next group of feeding objects starts to feed, directly control their feeding flow rate to the set maximum value, determine the growth mass ZL associated with this feeding object per unit time, and calibrate the maximum value of the controlled feeding flow rate as Vmax, and use Vmax×unit time×C1=ZZ to confirm the mass growth characteristic ZZ associated with the corresponding unit time, and identify whether its growth mass ZL is consistent with the mass growth characteristic ZZ. If they are consistent, complete this control process, and stop feeding when the total feeding mass of this feeding object reaches DL. If it is still not consistent when the total feeding mass of this feeding object reaches DL, a serious blockage signal is generated for display.

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