Argon gas flow detection and control method and system in metal powder production process

Abstract

The present invention provides an argon flow detection and control method and system in a metal powder production process, belonging to the field of measurement technology, and the method includes: detecting the actual argon flow; obtaining the production condition information in the metal powder production process; determining the standard argon flow according to the production condition information; and controlling the argon flow in real time according to the actual argon flow and the standard argon flow. The present invention provides an argon flow detection and control method and system in a metal powder production process, detecting the actual argon flow, and at the same time, determining the standard argon flow based on the production condition information in the metal powder production process, adjusting the argon flow through an automated control system according to the difference between the actual argon flow and the standard argon flow, and reducing the amount of argon used in the production process through precise monitoring of the argon flow and adaptive adjustment to the working conditions, greatly reducing the production cost.

Description

Technical Field

[0001] The invention relates to the field of measurement technology, and in particular to an argon gas flow detection and control method and system in a metal powder production process. Background Art

[0002] In the production process of preparing metal powder, a large amount of high-speed argon gas is needed to provide kinetic energy in order to spray the molten metal into fine spherical powder. In large-scale production, only one production line consumes nearly 2 tons of liquid argon per hour, which greatly increases the production cost of metal powder.

[0003] The invention patent with application number: CN202110740482.4 discloses a flow control method for a ladle bottom argon blowing system and a computer-readable storage medium, wherein the method comprises: obtaining the initial argon flow rate introduced into the ladle bottom argon blowing system; using a preset ladle bottom argon blowing model control algorithm, performing an argon re-adjustment operation on the initial argon flow rate to obtain the argon control output of the ladle bottom argon blowing system; and controlling and adjusting the argon flow rate introduced into the ladle bottom argon blowing system according to the argon control output. The above method can solve the problems of poor argon blowing flow control performance and low control accuracy existing in the prior art.

[0004] However, the above-mentioned prior art does not determine the required argon flow rate in combination with actual working conditions. When the standard argon flow rate is not accurately determined, it is easy to cause waste of argon use and increase production costs.

[0005] In view of this, there is an urgent need for an argon gas flow detection and control method and system in a metal powder production process to at least solve the above-mentioned deficiencies. Summary of the invention

[0006] One of the purposes of the present invention is to provide an argon flow detection and control method and system in a metal powder production process, which detects the actual argon flow rate and determines the standard argon flow rate based on the production condition information in the metal powder production process. According to the difference between the actual argon flow rate and the standard argon flow rate, the argon flow rate is adjusted through an automatic control system. By accurately monitoring the argon flow rate and adaptively adjusting it to the working conditions, the amount of argon used in the production process is reduced, thereby greatly reducing the production cost.

[0007] An embodiment of the present invention provides a method for detecting and controlling argon gas flow in a metal powder production process, comprising:

[0008] Detect actual argon gas flow rate;

[0009] Obtain production condition information during metal powder production;

[0010] Determine the standard argon gas flow rate based on production condition information;

[0011] The argon flow rate is controlled in real time according to the actual argon flow rate and the standard argon flow rate.

[0012] Preferably, detecting the actual argon gas flow rate includes:

[0013] Connect to the argon gas flow detection equipment node preset in the metal powder production scenario;

[0014] The actual argon gas flow rate is determined according to the node upload information of the argon gas flow rate detection device node.

[0015] An argon gas flow detection and control method in a metal powder production process provided by an embodiment of the present invention further includes:

[0016] Obtain the accuracy interference factors during the detection process of argon flow detection equipment;

[0017] According to the accuracy interference factors, determine the calibration time node of the argon flow detection equipment and perform corresponding calibration;

[0018] Among them, according to the accuracy interference factors, the calibration time node of the argon flow detection equipment is determined and the corresponding calibration is performed, including:

[0019] Determine the factor value extraction template of the accuracy interference factor;

[0020] Obtain the detection process information of the argon gas flow detection equipment after the most recent calibration;

[0021] Extract templates and detection process information based on factor values ​​to determine the accuracy interference factor value change curve;

[0022] Obtain the interference factor value change curve-interference value comparison table corresponding to the precision interference factor;

[0023] According to the precision interference factor value change curve and the interference factor value change curve-interference value comparison table, determine the interference value corresponding to each precision interference factor value change curve;

[0024] Obtain the interference relationship between the interference factors of precision;

[0025] According to the interference relationship and the interference value, the interference value and are determined;

[0026] The interference value and the corresponding detection process time point that is greater than or equal to the preset interference value and threshold are used as the calibration time node.

[0027] Preferably, obtaining production condition information during the metal powder production process includes:

[0028] Get the metal type of the metal powder;

[0029] Obtain process monitoring information for metal powder production processes;

[0030] Determining a first monitoring category combination according to the process monitoring information;

[0031] Acquire a metal melt feature extraction template according to the first monitoring category combination and the metal type;

[0032] Templates and process monitoring information are extracted based on the characteristics of the molten metal, and the characteristics of the molten metal are extracted as production condition information.

[0033] Preferably, obtaining a metal melt feature extraction template according to the first monitoring category combination and the metal type includes:

[0034] According to the metal type, determine the target monitoring type combination corresponding to the metal melt characteristic type;

[0035] Determining a second monitoring category combination for the metal powder production process according to the first monitoring category combination and the target monitoring category combination;

[0036] Obtain a preset combination analysis library corresponding to the metal melt feature type;

[0037] Determine a combination parsing template according to the second monitoring category combination and the combination parsing library;

[0038] The combined analysis templates corresponding to all metal melt feature types are integrated to obtain the metal melt feature extraction template.

[0039] Preferably, determining the standard argon flow rate according to the production condition information includes:

[0040] Obtain metal powder production requirements;

[0041] Determine the powder particle size requirements based on metal powder production needs;

[0042] Determine the standard argon flow rate based on the metal melt characteristics and powder particle size requirements.

[0043] Preferably, the standard argon flow rate is determined according to the metal melt characteristics and powder particle size requirements, including:

[0044] Obtain empirical data for argon gas flow setting;

[0045] According to the empirical data of argon gas flow setting, a model for setting argon gas flow is trained;

[0046] Based on the argon flow setting model, the standard argon flow rate is determined according to the metal melt characteristics and powder particle size requirements.

[0047] Preferably, the standard argon flow rate is determined according to the metal melt characteristics and the powder particle size requirements, and further comprises:

[0048] Based on the preset numerical simulation model, according to the metal melt characteristics and powder particle size requirements, numerical simulation is performed and numerical simulation results are obtained;

[0049] Analyze the numerical simulation results and obtain the standard argon flow rate.

[0050] Preferably, the argon flow rate is controlled in real time according to the actual argon flow rate and the standard argon flow rate, including:

[0051] Obtain the difference information between the actual argon gas flow rate and the standard argon gas flow rate;

[0052] Determine a control feedback signal according to the difference information and the argon gas flow control feedback system;

[0053] The argon flow rate is controlled in real time based on the control feedback signal.

[0054] An argon gas flow detection and control method in a metal powder production process provided by an embodiment of the present invention further includes:

[0055] Obtain sample metal powder data;

[0056] According to the sample metal powder data and the powder particle size requirements, a particle size difference characteristic value set is obtained; the particle size difference characteristic values ​​include: particle size difference, particle size uniformity difference and particle size difference generation time;

[0057] Get historical adjustment records;

[0058] According to the historical adjustment records, a pre-selected particle size difference feature vector-argon flow control adjustment strategy library is constructed;

[0059] According to the particle size difference feature value set, a particle size difference feature vector to be selected is constructed;

[0060] Perform vector matching on the pre-selected particle size difference feature vector and the to-be-selected particle size difference feature vector to determine the argon gas flow control adjustment strategy;

[0061] Based on the argon flow control adjustment strategy, the argon flow is controlled in real time;

[0062] According to the historical adjustment records, a pre-selected particle size difference feature vector - argon flow control adjustment strategy library is constructed, including:

[0063] Obtain granularity difference description information based on historical adjustment records;

[0064] According to the granularity difference description information, a historical granularity difference feature value set is obtained;

[0065] Constructing a preselected particle size difference feature vector according to a historical particle size difference feature value set, and associating the preselected particle size difference feature vector with an argon gas flow control adjustment strategy corresponding to the particle size difference description information in the historical adjustment record to obtain an associated data item;

[0066] All associated data items are integrated to obtain the pre-selected particle size difference feature vector - argon flow control adjustment strategy library.

[0067] An argon gas flow detection and control method in a metal powder production process provided by an embodiment of the present invention further includes:

[0068] Classify the produced metal powder to obtain the target metal powder;

[0069] The produced metal powder is subjected to classification treatment to obtain the target metal powder, including:

[0070] Obtain design parameters of a multi-stage separator;

[0071] Determine the multi-stage separation model based on the design parameters;

[0072] Based on the multi-stage separation model, separation simulation is performed according to the metal type and powder particle size requirements of the metal powder to determine the simulated air velocity and separation results;

[0073] Determine the target simulated gas flow rate at which the separation result meets the separation result requirements and the simulated gas flow rate is the minimum;

[0074] The target simulated gas flow rate is used as the gas flow rate of the gas containing the metal powder into the multi-stage separator;

[0075] Obtaining a classification identification of a powder collecting device of a multi-stage separator;

[0076] According to the classification mark, the target metal powder is obtained.

[0077] An argon gas flow detection and control system in a metal powder production process provided by an embodiment of the present invention comprises:

[0078] An actual argon gas flow rate detection subsystem is used to detect the actual argon gas flow rate;

[0079] The production condition information acquisition subsystem is used to obtain the production condition information during the metal powder production process;

[0080] The standard argon gas flow determination subsystem is used to determine the standard argon gas flow according to the production condition information;

[0081] The flow real-time control subsystem is used to perform real-time control of the argon flow according to the actual argon flow and the standard argon flow.

[0082] The beneficial effects of the present invention are:

[0083] The present invention detects the actual argon flow rate and determines the standard argon flow rate based on the production operating condition information in the metal powder production process. According to the difference between the actual argon flow rate and the standard argon flow rate, the argon flow rate is adjusted through an automatic control system. By accurately monitoring the argon flow rate and adaptively adjusting it according to the operating conditions, the argon usage in the production process is reduced, thereby greatly reducing the production cost.

[0084] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the present application documents.

[0085] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0086] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0087] Figure 1 A schematic diagram of an argon gas flow detection and control method in a metal powder production process according to an embodiment of the present invention;

[0088] Figure 2 Schematic diagram of an argon gas flow detection and control system in a metal powder production process in an embodiment of the present invention. DETAILED DESCRIPTION

[0089] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0090] The embodiment of the present invention provides a method for detecting and controlling argon gas flow in a metal powder production process. Figure 1 As shown, including:

[0091] Step 1: Detect the actual argon flow rate; the actual argon flow rate is: the argon flow rate value measured in real time by a flow meter during the production process of metal powder (such as titanium powder);

[0092] Step 2: Obtaining production condition information during the metal powder production process; wherein the production condition information is: production conditions and parameters during the metal powder production process, such as: temperature, composition, viscosity and surface tension of the metal melt;

[0093] Step 3: Determine the standard argon flow rate according to the production condition information; wherein the standard argon flow rate is: an ideal argon flow rate determined according to the specific requirements and process parameters of metal powder production;

[0094] Step 4: Perform real-time control of the argon flow rate according to the actual argon flow rate and the standard argon flow rate. The real-time control of the argon flow rate refers to the process of adjusting the argon flow rate through an automated control system to eliminate the difference between the actual argon flow rate and the standard argon flow rate according to the difference between the actual argon flow rate and the standard argon flow rate monitored in real time during the production process.

[0095] The working principle and beneficial effects of the above technical solution are:

[0096] In the process of using argon to produce metal powder, the metal raw material must be melted to an appropriate temperature, usually a certain degree of superheat higher than its melting point before atomization. As an atomizing medium, the flow rate of argon has an important influence on the particle size, shape and quality of the powder. Therefore, the present invention detects the actual argon flow rate, and at the same time, determines the standard argon flow rate based on the production condition information in the metal powder production process. According to the difference between the actual argon flow rate and the standard argon flow rate, the argon flow rate is adjusted through an automated control system. Through precise monitoring of the argon flow rate and adaptive adjustment to the working conditions, the argon usage in the production process is reduced, and the production cost is greatly reduced.

[0097] In one embodiment, detecting the actual argon gas flow rate includes:

[0098] Connect to the argon flow detection device node preset in the metal powder production scenario; the argon flow detection device node is: an IoT communication node of a sensor that monitors the argon flow rate in real time, such as: an IoT communication node of an argon flow meter installed in the argon supply pipeline of the metal powder production line;

[0099] The actual argon flow rate is determined according to the node upload information of the argon flow rate detection device node, wherein the node upload information is: the upload data of the argon flow rate detection device node in the communication network where it is located.

[0100] The working principle and beneficial effects of the above technical solution are:

[0101] The present invention introduces an argon flow detection device node in a metal powder production scenario, and determines the actual argon flow rate according to the node upload information of the argon flow detection device node, which is more reasonable.

[0102] An embodiment of the present invention provides an argon gas flow detection and control method in a metal powder production process, further comprising:

[0103] Obtain the precision interference factors in the detection process of the argon flow detection equipment; wherein the precision interference factors are: in the argon flow detection process, the external factors that affect the measurement performance of the argon flow detection equipment, such as: ambient temperature, pressure, etc.; under the interference of the precision interference factors, the measurement performance of the argon flow detection equipment will decrease;

[0104] According to the accuracy interference factors, the calibration time node of the argon gas flow detection equipment is determined and the corresponding calibration is performed; wherein the calibration time node is: the time node at which the measurement accuracy of the argon gas flow detection equipment needs to be calibrated;

[0105] Among them, according to the accuracy interference factors, the calibration time node of the argon flow detection equipment is determined and the corresponding calibration is performed, including:

[0106] Determine a factor value extraction template for the accuracy interference factor; wherein the factor value extraction template is used as a template for extracting the corresponding factor value by comparing the information related to the accuracy interference factor in the detection process, for example, if the accuracy interference factor is temperature, then the factor value extraction template is: a template for extracting the temperature value by comparing the temperature related information (for example, temperature sensor data) in the detection process;

[0107] Obtaining the detection process information of the argon gas flow detection device after the most recent calibration; wherein the detection process information is: data collected during the use of the argon gas flow detection device, such as: device measurement values, environmental conditions and device status;

[0108] According to the factor value extraction template and the detection process information, the accuracy interference factor value change curve is determined; wherein the accuracy interference factor value change curve is: a curve drawn by the accuracy interference factor value as the detection process time changes;

[0109] Obtaining an interference factor value change curve-interference value comparison table corresponding to the precision interference factor; wherein the interference factor value change curve-interference value comparison table stores a one-to-one correspondence between pre-selected interference factor value change curves and pre-selected interference values;

[0110] According to the precision interference factor value change curve and the interference factor value change curve-interference value comparison table, determine the interference value corresponding to each precision interference factor value change curve; wherein, when determining the interference value corresponding to the precision interference factor value change curve, the pre-selected interference factor value change curve and the precision interference factor value change curve are curve matched to obtain the pre-selected interference value corresponding to the matching pre-selected interference factor value change curve as the interference value;

[0111] Obtaining interference relations between precision interference factors; wherein the interference relations are: mutual influence relations between various precision interference factors;

[0112] According to the interference relationship and the interference value, determine the interference value and the interference value; wherein, when determining the interference value and the interference value according to the interference relationship and the interference value, when the mutual influence relationship between the precision interference factors is a combined influence, the interference value of the precision interference factor of the combined influence is the sum of the two individual interference values ​​multiplied by the interference relationship coefficient (preset by experienced personnel according to the degree of interference correlation, such as: 0.8); when the mutual influence relationship between the precision interference factors is an independent influence, the interference value of the precision interference factor of the independent influence is the sum of the two individual interference values, and the interference value and the interference value are: the sum of the interference value of each combined influence and the interference value of the independent influence;

[0113] The interference value and the corresponding detection process time point that is greater than or equal to the preset interference value and threshold are used as the calibration time node. The preset interference value and threshold are manually pre-set.

[0114] The working principle and beneficial effects of the above technical solution are:

[0115] The present invention introduces precision interference factors in the detection process of argon gas flow detection equipment, determines a factor value extraction template, and determines an interference factor value change curve of a corresponding interference factor value changing with time according to the detection process information of the argon gas flow detection equipment after the most recent calibration; introduces an interference factor value change curve-interference value comparison table to determine the interference value corresponding to the precision interference factor value change curve; introduces the mutual influence relationship between various precision interference factors, determines the interference value sum of each combined influence and the interference value of each individual influence, and uses the corresponding detection process time point determined as the interference value sum greater than or equal to the interference value sum threshold as the calibration time node, thereby improving the timeliness of calibration and the subsequent detection accuracy of argon gas flow.

[0116] In one embodiment, obtaining production condition information during the metal powder production process includes:

[0117] Get the metal type of the metal powder; where the metal type is the type of metal, such as titanium;

[0118] Obtaining process monitoring information of the metal powder production process; wherein the process monitoring information is: relevant information of the monitoring equipment during the metal powder production process, such as: temperature data, pressure data, flow data, etc.;

[0119] Determine a first monitoring category combination according to the process monitoring information; wherein the first monitoring category combination is: a set of monitoring data categories in the process monitoring information;

[0120] According to the first monitoring type combination and the metal type, a metal melt feature extraction template is obtained; wherein the metal melt feature extraction template is a template for extracting key features (such as viscosity, surface tension, density) of the metal melt from process monitoring information;

[0121] Templates and process monitoring information are extracted based on the characteristics of the molten metal, and the characteristics of the molten metal are extracted as production condition information.

[0122] The working principle and beneficial effects of the above technical solution are:

[0123] The present invention introduces the metal type of metal powder and process monitoring information of the production process; determines a combination of first monitoring categories in the process monitoring information based on the process monitoring information; determines a metal melt feature extraction template based on the first monitoring category combination and the metal type; uses the metal melt feature extraction template to compare the process monitoring information to determine the metal melt features as production condition information, thereby improving the standardization and accuracy of metal melt feature extraction.

[0124] In one embodiment, obtaining a metal melt feature extraction template according to the first monitoring category combination and the metal type includes:

[0125] According to the metal type, determine the target monitoring type combination corresponding to the metal melt characteristic type; wherein the target monitoring type combination is: a set of monitoring mode types corresponding to the monitoring data that can be analyzed to obtain the metal melt characteristic value corresponding to the metal melt characteristic type, and the metal melt characteristic value includes: viscosity, surface tension and density;

[0126] Determine a second monitoring type combination for the metal powder production process according to the first monitoring type combination and the target monitoring type combination; wherein, when determining the second monitoring type combination, the first monitoring type combination and the target monitoring type combination are matched, and the first monitoring type combination that matches the target monitoring type combination is determined as the second monitoring type combination;

[0127] Obtaining a preset combination analysis library corresponding to the metal melt characteristic type; wherein the combination analysis library includes: a characteristic value method for analyzing the metal melt characteristic type corresponding to the monitoring data of different monitoring type combinations;

[0128] Determine a combination parsing template according to the second monitoring category combination and the combination parsing library;

[0129] The combined analysis templates corresponding to all metal melt feature types are integrated to obtain the metal melt feature extraction template.

[0130] The working principle and beneficial effects of the above technical solution are:

[0131] The present invention determines a target monitoring category combination corresponding to a metal type, matches a first monitoring category combination with a target monitoring category combination, and determines a matching second monitoring category combination; introduces a preset combination analysis library corresponding to a metal melt feature type, determines a combination analysis template corresponding to a second detection category combination, integrates all combination analysis templates corresponding to metal melt feature types to obtain a metal melt feature extraction template, and constructs a metal melt feature extraction template by adopting a combination monitoring and determining an analysis method for the corresponding combination monitoring, thereby making fuller use of field monitoring data and further improving the accuracy of subsequent metal melt feature extraction.

[0132] In one embodiment, determining the standard argon gas flow rate according to production condition information includes:

[0133] Obtaining metal powder production requirements; wherein the metal powder production requirements are: parameter conditions of the produced metal powder, such as: metal powder type, particle size distribution and particle size range;

[0134] Determine the powder particle size requirements based on the metal powder production requirements; the powder particle size requirements include: particle size distribution and particle size range;

[0135] Determine the standard argon flow rate based on the metal melt characteristics and powder particle size requirements.

[0136] The working principle and beneficial effects of the above technical solution are:

[0137] The present invention determines the standard argon gas flow rate according to the obtained metal powder production demand and metal melt characteristics, and the determination of the standard argon gas flow rate is reasonable.

[0138] In one embodiment, the standard argon gas flow rate is determined according to the metal melt characteristics and the powder particle size requirements, including:

[0139] Acquire empirical data on argon gas flow rate settings; wherein the empirical data on argon gas flow rate settings are: empirical knowledge related to argon gas flow rate settings, which can be acquired through big data;

[0140] According to the argon flow setting experience data, an argon flow setting model is trained; wherein the argon flow setting model is obtained by training a preset neural network model based on the argon flow setting experience data until convergence;

[0141] Based on the argon flow setting model, the standard argon flow rate is determined according to the metal melt characteristics and powder particle size requirements. When determining the standard argon flow rate based on the argon flow setting model, the powder particle size requirements are used as the argon flow setting target, the metal melt characteristics are used as the argon flow setting constraints, and the argon flow rate output by the argon flow setting model is determined to be the standard argon flow rate.

[0142] The working principle and beneficial effects of the above technical solution are:

[0143] The present invention obtains empirical data for argon flow setting based on big data, trains an argon flow setting model based on the empirical data for argon flow setting, takes powder particle size requirements as argon flow setting targets, takes metal melt characteristics as argon flow setting constraints, determines that the argon flow rate output by the argon flow setting model is the standard argon flow rate, introduces the empirical data for argon flow setting obtained from big data to train an intelligent AI model to determine the standard argon flow rate, and improves the level of intelligence.

[0144] In one embodiment, determining the standard argon flow rate according to the metal melt characteristics and the powder particle size requirements also includes:

[0145] Based on a preset numerical simulation model, according to the metal melt characteristics and the powder particle size requirements, numerical simulation is performed and numerical simulation results are obtained; wherein the preset numerical simulation model is: a model for generating metal powder with the powder particle size requirements from a metal melt simulating the characteristics of the metal melt under the condition of argon blowing;

[0146] Analyze the numerical simulation results to obtain the standard argon gas flow rate. The numerical simulation results are: the argon gas flow rate data simulated in the numerical simulation model.

[0147] The working principle and beneficial effects of the above technical solution are:

[0148] The present invention introduces a numerical simulation model, performs numerical simulation according to the metal melt characteristics and powder particle size requirements, uses the simulated argon flow data when the simulation is successful as the standard argon flow, uses numerical simulation to predict the standard argon flow, and improves the accuracy of the standard argon flow.

[0149] In one embodiment, the argon flow rate is controlled in real time according to the actual argon flow rate and the standard argon flow rate, including:

[0150] Obtaining difference information between an actual argon gas flow rate and a standard argon gas flow rate; wherein the difference information is: a flow difference between an actual argon gas flow rate and a standard argon gas flow rate;

[0151] Determine a control feedback signal according to the difference information and the argon gas flow control feedback system; wherein the argon gas flow control feedback system is an automated control system that receives the difference information and feeds back a control signal for adjusting the argon gas flow;

[0152] The argon flow rate is controlled in real time based on the control feedback signal.

[0153] The working principle and beneficial effects of the above technical solution are:

[0154] The present invention calculates the difference information between the actual argon gas flow rate and the standard argon gas flow rate in real time, inputs the difference information into the argon gas flow rate control feedback system to determine the control feedback signal, and performs real-time control of the argon gas flow rate based on the control feedback signal, so that the argon gas flow rate control is more timely.

[0155] In one embodiment, it further includes:

[0156] Acquire sample metal powder data; wherein the sample metal powder data is: particle size data of production metal powder detected based on a preset sampling period (e.g., 30s);

[0157] According to the sample metal powder data and the powder particle size requirements, a particle size difference characteristic value set is obtained; the particle size difference characteristic values ​​include: particle size difference, particle size uniformity difference and particle size difference generation time;

[0158] Obtaining historical adjustment records; wherein the historical adjustment records are: process records of manually adjusting the argon gas flow rate according to the difference between the particle size of the produced metal powder and the required particle size of the metal powder;

[0159] According to the historical adjustment records, a pre-selected particle size difference feature vector-argon flow control adjustment strategy library is constructed;

[0160] According to the granularity difference feature value set, a granularity difference feature vector to be selected is constructed; wherein when constructing the granularity difference feature vector, the granularity difference feature values ​​in the granularity difference feature value set determine the vector element position when constructing the granularity difference feature vector according to their feature type, and the corresponding relationship between the feature type and the vector element position is manually preset;

[0161] Perform vector matching on the pre-selected particle size difference feature vector and the to-be-selected particle size difference feature vector to determine the argon gas flow control adjustment strategy;

[0162] Based on the argon flow control adjustment strategy, the argon flow is controlled in real time;

[0163] According to the historical adjustment records, a pre-selected particle size difference feature vector - argon flow control adjustment strategy library is constructed, including:

[0164] According to the historical adjustment records, the particle size difference description information is obtained; wherein the particle size difference description information is: description data of the particle size of the produced metal powder and the required particle size of the metal powder described in the historical adjustment records;

[0165] According to the granularity difference description information, a historical granularity difference feature value set is obtained; wherein, when the historical granularity difference feature value set is obtained according to the granularity difference description information, a feature extraction template corresponding to the granularity difference description information is extracted through multiple granularity difference feature types, for example: performing OCR character recognition on the description character data to obtain the granularity size difference description character, and then further recognizing a number of characters (for example: 10 characters on the left and 10 characters on the right) near the recognized granularity size difference description character to extract the historical granularity size difference feature value;

[0166] Constructing a preselected particle size difference feature vector according to a historical particle size difference feature value set, and associating the preselected particle size difference feature vector with an argon gas flow control adjustment strategy corresponding to the particle size difference description information in the historical adjustment record to obtain an associated data item; wherein the construction method of the preselected particle size difference feature vector is the same as the construction method of the particle size difference feature vector;

[0167] All associated data items are integrated to obtain the pre-selected particle size difference feature vector - argon flow control adjustment strategy library.

[0168] The working principle and beneficial effects of the above technical solution are:

[0169] The present invention detects the sample metal powder data produced based on the sampling period, and extracts the particle size difference characteristic value set in accordance with the powder particle size requirements. The historical adjustment record of artificially adjusting the argon flow rate according to the difference between the particle size of the produced metal powder and the required metal powder particle size is introduced, and the preselected particle size difference characteristic vector and the argon flow control adjustment strategy corresponding to the particle size difference description information are constructed based on the particle size difference description information in the historical adjustment record. A preselected particle size difference characteristic vector-argon flow control adjustment strategy library is constructed, and the preselected particle size difference characteristic vector and the particle size difference characteristic vector to be selected are vector matched, and the argon flow control adjustment strategy is determined and applied, thereby further improving the production quality and argon control accuracy.

[0170] An embodiment of the present invention provides an argon gas flow detection and control method in a metal powder production process, further comprising:

[0171] Classify the produced metal powder to obtain the target metal powder;

[0172] The produced metal powder is subjected to classification treatment to obtain the target metal powder, including:

[0173] Obtaining design parameters of a multi-stage separator; wherein the design parameters include: separator inlet velocity, cylinder diameter, and exhaust pipe diameter;

[0174] Determine a multi-stage separation model according to the design parameters; wherein the multi-stage separation model is: a virtual three-dimensional model of the multi-stage separator constructed according to the design parameters;

[0175] Based on the multi-stage separation model, separation simulation is performed according to the metal type and powder particle size requirements of the metal powder to determine the simulated gas velocity and separation result; wherein the simulated gas velocity is the velocity of the gas containing the metal powder in the multi-stage separation model; the separation result is the simulated separation condition of the multi-stage separation model, such as: particles with a diameter of A falling to the bottom of the conical cylinder, and another example: the generation of vortex and back-mixing phenomenon;

[0176] Determine the target simulated gas velocity at which the separation result meets the separation result requirements and the simulated gas velocity is the minimum; wherein the separation result requirements are: metal particles with the required powder particle size fall to the bottom of the conical cylinder without generating eddy currents and back-mixing phenomena;

[0177] The target simulated gas flow rate is used as the gas flow rate of the gas containing the metal powder into the multi-stage separator;

[0178] Obtaining a classification mark of a powder collecting device of a multi-stage separator; wherein the classification mark is determined according to a simulated collection classification of each stage of powder collecting devices in a separation result corresponding to a target simulated air velocity;

[0179] According to the classification mark, the target metal powder is obtained.

[0180] The working principle and beneficial effects of the above technical solution are:

[0181] In the process of metal powder production, powders of exactly the same particle size will inevitably not be obtained. It is necessary to pass the gas containing the metal powder into a separator (such as a multi-stage cyclone separator) for particle size classification. In actual operation, an appropriate gas velocity should be controlled. If the gas velocity is too low, the separation efficiency will be affected. If the gas velocity is too high, eddy currents and back-mixing may be generated, which will also reduce the separation efficiency. The present invention introduces the design parameters of the multi-stage separator and constructs a multi-stage separation model. Based on the multi-stage separation model, the separation of metals with powder particle size requirements in the multi-stage separator is simulated, and multiple simulated input gas velocities and separation results are determined. The minimum target simulated input gas velocity is determined for the metal particles with the powder particle size requirements to fall to the bottom of the conical cylinder without generating eddy currents and back-mixing phenomena. The target simulated input gas velocity is used as the input gas velocity of the gas containing the metal powder passed into the multi-stage separator to classify the produced metal powder, thereby improving the efficiency of the metal powder particle size classification process.

[0182] The embodiment of the present invention provides an argon gas flow detection and control system in a metal powder production process, such as Figure 2 As shown, including:

[0183] The actual argon gas flow rate detection subsystem 1 is used to detect the actual argon gas flow rate;

[0184] The production condition information acquisition subsystem 2 is used to acquire the production condition information during the metal powder production process;

[0185] The standard argon gas flow determination subsystem 3 is used to determine the standard argon gas flow according to the production condition information;

[0186] The flow real-time control subsystem 4 is used to perform real-time control of the argon flow rate according to the actual argon flow rate and the standard argon flow rate.

[0187] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for detecting and controlling argon gas flow in a metal powder production process, characterized in that: include: Detect actual argon gas flow rate; Obtain production condition information during metal powder production; Determine the standard argon gas flow rate based on production condition information; According to the actual argon flow rate and the standard argon flow rate, the argon flow rate is controlled in real time; The detecting of the actual argon gas flow rate comprises: Connect to the argon gas flow detection equipment node preset in the metal powder production scenario; Determine the actual argon gas flow rate according to the node upload information of the argon gas flow detection device node; Obtain the accuracy interference factors during the detection process of argon flow detection equipment; According to the accuracy interference factors, determine the calibration time node of the argon flow detection equipment and perform corresponding calibration; Among them, according to the accuracy interference factors, the calibration time node of the argon flow detection equipment is determined and the corresponding calibration is performed, including: Determine the factor value extraction template of the accuracy interference factor; Obtain the detection process information of the argon gas flow detection equipment after the most recent calibration; Extract templates and detection process information based on factor values ​​to determine the accuracy interference factor value change curve; Obtain the interference factor value change curve-interference value comparison table corresponding to the precision interference factor; According to the precision interference factor value change curve and the interference factor value change curve-interference value comparison table, determine the interference value corresponding to each precision interference factor value change curve; Obtain the interference relationship between the interference factors of precision; According to the interference relationship and the interference value, the interference value and are determined; The interference value and the corresponding detection process time point that is greater than or equal to the preset interference value and threshold are used as the calibration time node.

2. The method for detecting and controlling argon gas flow rate in a metal powder production process according to claim 1, characterized in that: Obtain production condition information during metal powder production, including: Get the metal type of the metal powder; Obtain process monitoring information for metal powder production processes; Determining a first monitoring category combination according to the process monitoring information; Acquire a metal melt feature extraction template according to the first monitoring category combination and the metal type; Templates and process monitoring information are extracted based on the characteristics of the molten metal, and the characteristics of the molten metal are extracted as production condition information.

3. The method for detecting and controlling argon gas flow in a metal powder production process according to claim 2, characterized in that: According to the first monitoring type combination and the metal type, a metal melt feature extraction template is obtained, including: According to the metal type, determine the target monitoring type combination corresponding to the metal melt characteristic type; Determining a second monitoring category combination for the metal powder production process according to the first monitoring category combination and the target monitoring category combination; Obtain a preset combination analysis library corresponding to the metal melt feature type; Determine a combination parsing template according to the second monitoring category combination and the combination parsing library; The combined analysis templates corresponding to all metal melt feature types are integrated to obtain the metal melt feature extraction template.

4. The method for detecting and controlling argon gas flow rate in a metal powder production process according to claim 1, characterized in that: According to the production conditions information, determine the standard argon flow rate, including: Obtain metal powder production requirements; Determine the powder particle size requirements based on metal powder production needs; Determine the standard argon flow rate based on the metal melt characteristics and powder particle size requirements.

5. The method for detecting and controlling argon gas flow rate in a metal powder production process according to claim 4, characterized in that: According to the metal melt characteristics and powder particle size requirements, the standard argon flow rate is determined, including: Obtain empirical data for argon gas flow setting; According to the empirical data of argon gas flow setting, a model for setting argon gas flow is trained; Based on the argon flow setting model, the standard argon flow rate is determined according to the metal melt characteristics and powder particle size requirements.

6. The method for detecting and controlling argon flow rate in a metal powder production process according to claim 4, characterized in that: According to the characteristics of the metal melt and the powder particle size requirements, the standard argon flow rate is determined, including: Based on the preset numerical simulation model, according to the metal melt characteristics and powder particle size requirements, numerical simulation is performed and numerical simulation results are obtained; Analyze the numerical simulation results and obtain the standard argon flow rate.

7. The method for detecting and controlling argon gas flow rate in a metal powder production process according to claim 1, characterized in that: According to the actual argon flow rate and the standard argon flow rate, the argon flow rate is controlled in real time, including: Obtain the difference information between the actual argon gas flow rate and the standard argon gas flow rate; Determine a control feedback signal according to the difference information and the argon gas flow control feedback system; The argon flow rate is controlled in real time based on the control feedback signal.

8. An argon gas flow detection and control system in a metal powder production process, characterized in that: include: An actual argon gas flow rate detection subsystem is used to detect the actual argon gas flow rate; The production condition information acquisition subsystem is used to obtain the production condition information during the metal powder production process; The standard argon gas flow determination subsystem is used to determine the standard argon gas flow according to the production condition information; The flow real-time control subsystem is used to perform real-time control of the argon flow according to the actual argon flow and the standard argon flow; The actual argon gas flow rate detection subsystem detects the actual argon gas flow rate and performs the following operations: Connect to the argon gas flow detection equipment node preset in the metal powder production scenario; Determine the actual argon gas flow rate according to the node upload information of the argon gas flow detection device node; Obtain the accuracy interference factors during the detection process of argon flow detection equipment; According to the accuracy interference factors, determine the calibration time node of the argon flow detection equipment and perform corresponding calibration; Among them, according to the accuracy interference factors, the calibration time node of the argon flow detection equipment is determined and the corresponding calibration is performed, including: Determine the factor value extraction template of the accuracy interference factor; Obtain the detection process information of the argon gas flow detection equipment after the most recent calibration; Extract templates and detection process information based on factor values ​​to determine the accuracy interference factor value change curve; Obtain the interference factor value change curve-interference value comparison table corresponding to the precision interference factor; According to the precision interference factor value change curve and the interference factor value change curve-interference value comparison table, determine the interference value corresponding to each precision interference factor value change curve; Obtain the interference relationship between the interference factors of precision; According to the interference relationship and the interference value, the interference value and are determined; The interference value and the corresponding detection process time point that is greater than or equal to the preset interference value and threshold are used as the calibration time node.

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