Aluminum powder water loss precision control system and method based on PID control

Abstract

The present invention belongs to the technical field of aluminum powder production, storage and supervision, and specifically is an aluminum powder water loss precision control system and method based on PID control, wherein the system comprises an aluminum powder environment detection module, a PID analysis control module, a humidity adjustment module, an operation monitoring output module and a background supervision terminal; the present invention monitors the humidity of the aluminum powder storage environment in real time through the aluminum powder environment detection module, the PID analysis control module calculates the control amount of the humidity adjustment module according to the humidity deviation and through the PID algorithm, the humidity adjustment module performs humidification or dehumidification operation according to the control amount, adjusts the humidity of the aluminum powder storage environment, realizes precise control of the humidity of the aluminum powder storage environment, improves the quality and stability of aluminum powder products, and can perform progressive and reasonable analysis on the operation performance and abnormal conditions of the humidity adjustment module and timely warn, reduce the subsequent operation risk of the humidity adjustment module and ensure its operation performance, significantly reduce the management difficulty of management personnel, and has a high level of intelligence and automation.

Description

Technical Field

[0001] The invention relates to the technical field of aluminum powder production, storage and supervision, and in particular to an aluminum powder water loss precision control system and method based on PID control. Background Art

[0002] During the production and storage of aluminum powder, humidity control is very important. Aluminum powder is highly sensitive to humidity. Too high humidity will cause aluminum powder to agglomerate, while too low humidity will cause aluminum powder to lose water quickly, affecting its physical and chemical properties.

[0003] At present, it is difficult to achieve accurate humidity control during the production and storage of aluminum powder, and it is impossible to conduct progressive and accurate analysis of the operating performance and abnormal conditions of the humidity control equipment and issue timely warnings, which is not conducive to managers taking reasonable improvement measures, increasing the management difficulty of managers, and the level of intelligence and automation is low;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a precise control system and method for aluminum powder water loss based on PID control, which solves the problems that the prior art is difficult to achieve precise control of the humidity in the production and storage of aluminum powder, and is unable to perform progressive and precise analysis of the operating performance and abnormal conditions of the humidity regulating equipment and provide timely warnings, resulting in great management difficulty and low levels of intelligence and automation.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] Aluminum powder water loss precision control system based on PID control, including aluminum powder environment detection module, PID analysis and control module, humidity adjustment module, operation monitoring output module and background supervision terminal;

[0008] The aluminum powder environment detection module monitors the humidity of the aluminum powder storage environment in real time through a humidity sensor, and sends the real-time humidity value of the aluminum powder storage environment to the PID analysis control module and the background monitoring end, and the background monitoring end displays the real-time humidity value of the aluminum powder storage environment;

[0009] The PID analysis control module obtains the humidity deviation based on the real-time humidity value and the standard humidity value of the aluminum powder storage environment, calculates the control amount of the humidity adjustment module according to the humidity deviation and through the PID algorithm, and sends the control amount to the humidity adjustment module;

[0010] The humidity adjustment module performs humidification or dehumidification operations according to the control quantity to adjust the humidity of the aluminum powder storage environment; the operation monitoring output module monitors the adjustment process of the humidity adjustment module, judges the operation performance of the humidity adjustment module, and generates an operation qualification signal or an operation warning signal accordingly, and sends the operation qualification signal or the operation warning signal to the background supervision end. The background supervision end issues a warning when receiving the operation warning signal.

[0011] Furthermore, the specific analysis process of running the monitoring output module includes:

[0012] Through step-by-step evaluation and analysis, the corresponding humidity adjustment process is marked as an infeasible process or a good evaluation process, a detection period is set, the number of infeasible processes in the detection period is compared with the total number of humidity adjustment processes to obtain an infeasible detection value, and the infeasible detection value is compared with a preset infeasible detection threshold. If the infeasible detection value exceeds the preset infeasible detection threshold, an operation warning signal is generated;

[0013] If the infeasible detection value does not exceed the preset infeasible detection threshold, the difference between the strategy value of the corresponding humidity adjustment process and the median of the preset strategy value range is calculated and the absolute value is taken to obtain the effective inspection value, and the ratio of the stabilization value of the corresponding adjustment process to the preset stabilization threshold is marked as the stabilization inspection value; the effective analysis value is obtained by averaging the effective inspection values ​​of all humidity adjustment processes in the detection period, and the stabilization analysis value is obtained by averaging the stabilization inspection values ​​of all humidity adjustment processes in the detection period;

[0014] The operation and control output value is obtained by numerically calculating the infeasible detection value, the effectiveness analysis value and the stability analysis value, and the operation and control output value is numerically compared with the preset operation and control output threshold. If the operation and control output value exceeds the preset operation and control output threshold, an operation warning signal is generated; if the operation and control output value does not exceed the preset operation and control output threshold, an operation qualification signal is generated.

[0015] Furthermore, the specific analysis process of the step-by-step evaluation analysis is as follows:

[0016] The moment when the humidity adjustment module receives the control amount is collected and marked as moment one, and the moment when the humidity adjustment module completes the corresponding humidity adjustment operation is collected and marked as moment two, and the interval between moment one and moment two is marked as monitoring duration;

[0017] The ratio of the control amount to the monitoring time is marked as the strategy value, and the stabilization value is obtained through adjustment stability analysis. The strategy value and the stabilization value are numerically compared with the preset strategy value range and the preset stabilization threshold respectively. If the strategy value is not within the preset strategy value range or the stabilization value exceeds the preset stabilization threshold, the corresponding humidity adjustment process is marked as a non-feasible process; if the strategy value is within the preset strategy value range and the stabilization value does not exceed the preset stabilization threshold, the corresponding humidity adjustment process is marked as an excellent process.

[0018] Furthermore, the specific analysis process of adjusting the stability analysis is as follows:

[0019] A rectangular coordinate system located in the first quadrant is established with time as the X-axis and the real-time humidity value as the Y-axis, and the humidity change curve of the aluminum powder storage environment during the corresponding humidity adjustment process is obtained. The humidity change curve is placed in the rectangular coordinate system, and the starting point of the humidity change curve is located on the Y-axis;

[0020] A number of detection points are set on the humidity change curve, and the Y-direction distance between two adjacent groups of detection points is marked as the variable distance value. The variance of all variable distance values ​​is calculated to obtain the fluctuation coefficient, and the proportion of the variable distance values ​​that are not within the preset variable distance value range is marked as the abnormal coefficient. The stabilization value of the corresponding humidity adjustment process is obtained by numerically calculating the fluctuation coefficient and the abnormal coefficient.

[0021] Furthermore, the operation monitoring output module is communicatively connected to the abnormal auxiliary analysis module, and the operation monitoring output module sends the operation qualified signal to the abnormal auxiliary analysis module. When the abnormal auxiliary analysis module receives the operation qualified signal, it performs abnormal auxiliary analysis on the humidity adjustment module, and generates an abnormal warning signal or an auxiliary analysis qualified signal through analysis, and sends the abnormal warning signal or the auxiliary analysis qualified signal to the background supervision end. When the background supervision end receives the abnormal warning signal, it issues a warning.

[0022] Furthermore, the specific analysis process of abnormal auxiliary analysis is as follows:

[0023] During the operation of the humidity control module, the vibration amplitude and the noise decibel value generated are collected, and the vibration amplitude and the noise decibel value are numerically compared with the preset vibration amplitude threshold and the preset noise decibel threshold, respectively. If the vibration amplitude or the noise decibel value exceeds the corresponding preset threshold, it is determined that the humidity control module is in an abnormal operation state;

[0024] The duration of the humidity regulating module being in the abnormal operation state during the detection period is obtained and the ratio thereof is calculated with the total operation duration of the humidity regulating module during the detection period to obtain the abnormal operation time measurement value, and the frequency of occurrence of the single duration of the humidity regulating module being in the abnormal operation state during the detection period exceeding the corresponding preset single duration threshold is marked as an excessively long abnormal detection value, and the maximum value of the single duration of the humidity regulating module being in the abnormal operation state during the detection period is marked as an abnormal amplitude analysis value;

[0025] The abnormal auxiliary analysis value is obtained by numerically calculating the abnormal operation time measurement value, the over-long abnormal detection value and the abnormal amplitude analysis value, and the abnormal auxiliary analysis value is numerically compared with the preset abnormal auxiliary analysis threshold. If the abnormal auxiliary analysis value exceeds the preset abnormal auxiliary analysis threshold, an abnormal warning signal is generated; if the abnormal auxiliary analysis value does not exceed the preset abnormal auxiliary analysis threshold, an auxiliary analysis qualified signal is generated.

[0026] Furthermore, the background supervision end is communicatively connected to the operation diagnosis feedback module. When an operation warning signal or an abnormal warning signal is generated, the operation diagnosis feedback module performs an elimination diagnosis on the humidity adjustment module, determines through analysis whether an elimination warning signal is generated, and sends the elimination warning signal to the background supervision end. The background supervision end issues a warning when receiving the elimination warning signal.

[0027] Furthermore, the specific analysis process of running the diagnostic feedback module is as follows:

[0028] The production date of the humidity control module is collected, and the time difference between the current date and the production date of the humidity control module is calculated to obtain the production time, and the total time the humidity control module is in operation in the historical stage is marked as the operation time;

[0029] And through analysis, the environmental risk time of the humidity control module is obtained, and the frequency of the maintenance interval time of the humidity control module in the historical stage exceeding the preset maintenance interval time threshold is marked as the heterodimensional coefficient; by numerically calculating the production time, operation time, environmental risk time and heterodimensional coefficient to obtain the operation diagnosis value, the operation diagnosis value is numerically compared with the preset operation diagnosis threshold, if the operation diagnosis value exceeds the preset operation diagnosis threshold, an elimination warning signal is generated.

[0030] Furthermore, the analysis and acquisition method of the environmental risk duration is as follows:

[0031] The ambient temperature and ambient humidity of the environment where the humidity adjustment module is located are collected, and the deviation value of the ambient temperature compared to the set suitable temperature standard value is marked as the ambient temperature measurement value, and the deviation value of the ambient humidity compared to the set suitable humidity standard value is marked as the ambient humidity measurement value;

[0032] The dust concentration of the environment in which the humidity control module is located is collected and marked as the environmental gray measurement value, and the module damage assessment value is obtained by numerically calculating the ambient temperature measurement value, the ambient humidity measurement value and the ambient gray measurement value. The module damage assessment value is numerically compared with the preset module damage assessment threshold. If the module damage assessment value exceeds the preset module damage assessment threshold, it is judged that the humidity control module is in an over-damaged state, and the total duration of the humidity control module in the over-damaged state in the historical stage is obtained and marked as the environmental risk duration.

[0033] Furthermore, the present invention also proposes a method for precise control of aluminum powder water loss based on PID control, comprising the following steps:

[0034] Step 1: Use a humidity sensor to monitor the humidity of the aluminum powder storage environment in real time;

[0035] Step 2: Based on the real-time humidity value and standard humidity value of the aluminum powder storage environment, the humidity deviation is obtained, and the control amount of the humidity adjustment module is calculated through the PID algorithm according to the humidity deviation;

[0036] Step 3: Perform humidification or dehumidification operation according to the control amount to adjust the humidity of the aluminum powder storage environment;

[0037] Step 4: monitor the adjustment process of the humidity adjustment module, judge the operation performance of the humidity adjustment module, and generate an operation qualification signal or an operation warning signal accordingly;

[0038] Step 5: When the operation warning signal is generated, the background monitoring terminal issues a warning.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] 1. In the present invention, the humidity of the aluminum powder storage environment is monitored in real time by the aluminum powder environment detection module, the PID analysis control module calculates the control amount of the humidity adjustment module according to the humidity deviation and the PID algorithm, and the humidity adjustment module performs humidification or dehumidification operation according to the control amount to adjust the humidity of the aluminum powder storage environment, thereby realizing accurate control of the humidity of the aluminum powder storage environment, improving the quality and stability of the aluminum powder product, and having a high level of intelligence and automation;

[0041] 2. In the present invention, the adjustment process of the humidity adjustment module is monitored and the operation performance of the humidity adjustment module is judged by the operation monitoring output module. When an operation qualified signal is generated, the humidity adjustment module is subjected to abnormal auxiliary analysis through the abnormal auxiliary analysis module. When an operation warning signal or an abnormal warning signal is generated, the humidity adjustment module is subjected to elimination diagnosis through the operation diagnosis feedback module. When an elimination warning signal is generated, the humidity adjustment module is eliminated and replaced, which significantly reduces the management difficulty of management personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0043] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0044] Figure 2 This is a system block diagram of Embodiment 2 of the present invention;

[0045] Figure 3 This is a flow chart of the method of Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] Embodiment 1: Figure 1 As shown, the aluminum powder dehydration precision control system based on PID control proposed by the present invention includes an aluminum powder environment detection module, a PID analysis control module, a humidity adjustment module, an operation monitoring output module and a background supervision terminal;

[0048] The aluminum powder environment detection module monitors the humidity of the aluminum powder storage environment in real time through a humidity sensor, and sends the real-time humidity value of the aluminum powder storage environment to the PID analysis control module and the background monitoring end, and the background monitoring end displays the real-time humidity value of the aluminum powder storage environment;

[0049] The PID analysis control module obtains the humidity deviation based on the real-time humidity value and the standard humidity value of the aluminum powder storage environment, calculates the control amount of the humidity adjustment module according to the humidity deviation and through the PID algorithm, and sends the control amount to the humidity adjustment module; it should be noted that the PID algorithm calculation process is as follows:

[0050] Proportional (P) control: According to the size of the deviation, the initial control amount proportional to the deviation is directly calculated. The role of the proportional term is to quickly respond to changes in the deviation and reduce the absolute value of the deviation;

[0051] Integral (I) control: Integrate the deviation to eliminate the steady-state error of the system. The function of the integral term is to accumulate past deviations so that the system output gradually approaches the reference value.

[0052] Differential (D) control: predict the future change trend of the deviation and compensate it in advance. The role of the differential term is to increase the stability of the system and reduce overshoot and oscillation. The PID analysis control module calculates the final control amount by combining the control effects of the three terms of proportion, integration and differential.

[0053] The humidity regulation module (humidifier and dehumidifier in one) performs humidification or dehumidification operations according to the control quantity, adjusts the humidity of the aluminum powder storage environment, and achieves precise control of the humidity of the aluminum powder storage environment by adopting the PID control algorithm, thereby avoiding the performance degradation of aluminum powder due to humidity changes, improving the quality and stability of aluminum powder products, and significantly reducing the workload and management difficulty of aluminum powder storage management, with a high level of intelligence and automation.

[0054] The operation monitoring output module monitors the adjustment process of the humidity adjustment module, judges the operation performance of the humidity adjustment module, generates an operation qualification signal or an operation warning signal accordingly, and sends the operation qualification signal or the operation warning signal to the background supervision end;

[0055] When the backend monitoring terminal receives the operation warning signal, it will issue a warning. When the management personnel receive the operation warning signal, they will promptly conduct cause investigation and analysis, and take corresponding inspection and improvement measures on the humidity adjustment module, so as to ensure the subsequent control performance of the aluminum powder environment humidity, which is conducive to improving the storage safety of aluminum powder. The specific analysis process of the operation monitoring output module is as follows:

[0056] The moment when the humidity adjustment module receives the control amount is collected and marked as moment one, and the moment when the humidity adjustment module completes the corresponding humidity adjustment operation is collected and marked as moment two, the interval between moment one and moment two is marked as monitoring duration, and the ratio of the control amount to the monitoring duration is marked as the strategy value; wherein, if the value of the strategy value is too large or too small, it indicates that the adjustment efficiency of the corresponding humidity adjustment process does not meet the requirements;

[0057] And the adjustment stability analysis is performed to obtain the adjustment value, specifically: a rectangular coordinate system located in the first quadrant is established with time as the X-axis and the real-time humidity value as the Y-axis, and the humidity change curve of the aluminum powder storage environment during the corresponding humidity adjustment process is obtained, and the humidity change curve is placed in the rectangular coordinate system, and the starting point of the humidity change curve is located on the Y-axis;

[0058] A number of detection points are set on the humidity change curve, and the Y-direction distance between two adjacent groups of detection points is marked as the variable distance value, and the variance of all the variable distance values ​​is calculated to obtain the fluctuation coefficient, and the variable distance value is numerically compared with the preset variable distance value range, and the number ratio of the variable distance values ​​that are not within the preset variable distance value range is marked as the abnormal coefficient;

[0059] The fluctuation coefficient QB and the abnormal coefficient QY are numerically calculated by the formula QX=hy1*QB+hy2*QY to obtain the stabilization value QX of the corresponding humidity adjustment process; wherein hy1 and hy2 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the stabilization value QX is, the more unstable the corresponding humidity adjustment process is, and the more difficult it is to avoid the adverse effects of the sudden change of humidity on the aluminum powder;

[0060] The strategy value and the stabilization value QX are numerically compared with the preset strategy value range and the preset stabilization threshold value respectively. If the strategy value is not within the preset strategy value range or the stabilization value QX exceeds the preset stabilization threshold value, it indicates that the control performance of the corresponding humidity adjustment process is poor, and the corresponding humidity adjustment process is marked as a non-feasible process; if the strategy value is within the preset strategy value range and the stabilization value QX does not exceed the preset stabilization threshold value, it indicates that the control performance of the corresponding humidity adjustment process is good, and the corresponding humidity adjustment process is marked as an excellent process;

[0061] A detection period is set, preferably, the detection period is five days; the number of infeasible processes in the detection period is calculated by ratio to the total number of humidity adjustment processes to obtain an infeasible detection value, and the infeasible detection value is numerically compared with a preset infeasible detection threshold value. If the infeasible detection value exceeds the preset infeasible detection threshold value, it indicates that the operation performance of the humidity adjustment for the aluminum powder environment in the detection period is poor, and an operation warning signal is generated;

[0062] If the infeasible detection value does not exceed the preset infeasible detection threshold, the difference between the strategy value of the corresponding humidity adjustment process and the median of the preset strategy value range is calculated and the absolute value is taken to obtain the effective inspection value, and the ratio of the stabilization value of the corresponding adjustment process to the preset stabilization threshold is marked as the stabilization inspection value; the effective analysis value is obtained by averaging the effective inspection values ​​of all humidity adjustment processes in the detection period, and the stabilization analysis value is obtained by averaging the stabilization inspection values ​​of all humidity adjustment processes in the detection period;

[0063] The non-feasible detection value YP, the effective analysis value YF and the stable analysis value YW are numerically calculated by the formula YL=eq1*YP+(eq2*YF+eq3*YW) / eq1 to obtain the operation control output value YL; wherein eq1, eq2, eq3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the operation control output value YL, the worse the overall operation performance of the humidity adjustment for the aluminum powder environment during the detection period;

[0064] The operation and control output value YL is numerically compared with the preset operation and control output threshold. If the operation and control output value YL exceeds the preset operation and control output threshold, indicating that the operation performance of the aluminum powder environment humidity regulation during the detection period is generally poor, then an operation warning signal is generated; if the operation and control output value YL does not exceed the preset operation and control output threshold, indicating that the operation performance of the aluminum powder environment humidity regulation during the detection period is generally good, then a qualified operation signal is generated.

[0065] Further, the operation monitoring output module is communicatively connected to the abnormal auxiliary analysis module, and the operation monitoring output module sends the operation qualified signal to the abnormal auxiliary analysis module. When the abnormal auxiliary analysis module receives the operation qualified signal, it performs abnormal auxiliary analysis on the humidity adjustment module, and generates an abnormal warning signal or an auxiliary analysis qualified signal through analysis;

[0066] And send the abnormal warning signal or auxiliary analysis qualified signal to the background supervision end. When the background supervision end receives the abnormal warning signal, it will issue an early warning. When the management personnel receive the abnormal warning signal, they will promptly conduct cause investigation and analysis, and take corresponding inspection and improvement measures on the humidity control module, thereby reducing its subsequent operation risks and ensuring its operation performance, significantly reducing the management difficulty of the management personnel; the specific analysis process of abnormal auxiliary analysis is as follows:

[0067] During the operation of the humidity control module, the vibration amplitude and the noise decibel value generated are collected, and the vibration amplitude and the noise decibel value are numerically compared with the preset vibration amplitude threshold and the preset noise decibel threshold, respectively. If the vibration amplitude or the noise decibel value exceeds the corresponding preset threshold, it indicates that the operation state of the humidity control module is not good, and the humidity control module is judged to be in an abnormal operation state;

[0068] The duration of the humidity regulating module being in the abnormal operation state during the detection period is obtained and the ratio thereof is calculated with the total operation duration of the humidity regulating module during the detection period to obtain the abnormal operation time measurement value, and the frequency of occurrence of the single duration of the humidity regulating module being in the abnormal operation state during the detection period exceeding the corresponding preset single duration threshold is marked as an excessively long abnormal detection value, and the maximum value of the single duration of the humidity regulating module being in the abnormal operation state during the detection period is marked as an abnormal amplitude analysis value;

[0069] By formula The abnormal operation measurement value NK, the overlong abnormal detection value NS and the abnormal amplitude analysis value NR are numerically calculated to obtain the abnormal auxiliary analysis value WY; wherein, rg1, rg2, and rg3 are preset proportional coefficients with values ​​greater than zero, and rg2>rg3>rg1; it should be noted that the larger the value of the abnormal auxiliary analysis value WY is, the more abnormal the operation of the humidity control module is during the detection period;

[0070] The abnormal auxiliary analysis value WY is numerically compared with the preset abnormal auxiliary analysis threshold. If the abnormal auxiliary analysis value WY exceeds the preset abnormal auxiliary analysis threshold, it indicates that the operation of the humidity adjustment module during the detection period is relatively abnormal, and an abnormal warning signal is generated; if the abnormal auxiliary analysis value WY does not exceed the preset abnormal auxiliary analysis threshold, it indicates that the operation of the humidity adjustment module during the detection period is relatively normal, and an auxiliary analysis qualified signal is generated.

[0071] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the background monitoring end is connected to the operation diagnosis feedback module in communication. When an operation warning signal or an abnormal warning signal is generated, the operation diagnosis feedback module performs elimination diagnosis on the humidity adjustment module, determines whether to generate an elimination warning signal through analysis, and sends the elimination warning signal to the background monitoring end;

[0072] When the background monitoring end receives the elimination warning signal, it will issue a warning. When the management personnel receive the elimination warning signal, they will promptly eliminate and replace the humidity control module, or continue to strengthen the operation supervision of the humidity control module to ensure its operation safety and operation effect. The specific analysis process of the operation diagnosis feedback module is as follows:

[0073] The production date of the humidity control module is collected, and the time difference between the current date and the production date of the humidity control module is calculated to obtain the production time, and the total time the humidity control module is in operation in the historical stage is marked as the operation time;

[0074] The ambient temperature and ambient humidity of the environment where the humidity adjustment module is located are collected, and the deviation value of the ambient temperature compared to the set suitable temperature standard value is marked as the ambient temperature measurement value, and the deviation value of the ambient humidity compared to the set suitable humidity standard value is marked as the ambient humidity measurement value;

[0075] The dust concentration of the environment where the humidity control module is located is collected and marked as the environmental gray measurement value, and the ambient temperature measurement value GS, the ambient humidity measurement value GN and the ambient gray measurement value GL are numerically calculated by the formula QF=(c1*GS+c2*GN+c3*GL) / 3 to obtain the module damage evaluation value QF; wherein c1, c2, c3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the module damage evaluation value QF is, the worse the environmental condition of the environment where the humidity control module is located at the corresponding moment is.

[0076] The module damage evaluation value is numerically compared with the preset module damage evaluation threshold. If the module damage evaluation value exceeds the preset module damage evaluation threshold, it indicates that the environmental condition of the environment where the humidity control module is located at the corresponding moment is poor, and the humidity control module is judged to be in an over-damaged state. The total duration of the humidity control module in the over-damaged state in the historical stage is obtained and marked as the environmental risk duration;

[0077] And obtain all maintenance intervals for the humidity control module in the historical stage (i.e., the data value of the interval between two adjacent maintenance processes), compare the maintenance interval with the preset maintenance interval threshold, and mark the frequency of the maintenance interval for the humidity control module in the historical stage exceeding the preset maintenance interval threshold as a different dimension coefficient;

[0078] By formula The production meter time US, the operation meter time UK, the environmental risk time UP and the heterogeneous coefficient UF are numerically calculated to obtain the operation diagnosis value UY; wherein k1, k2, k3, k4 are preset proportional coefficients, k4>k3>k2>k1>0; and the larger the value of the operation diagnosis value UY, the worse the equipment condition of the humidity control module is, and the more it needs to be eliminated and replaced in time;

[0079] The operating condition value UY is numerically compared with the preset operating condition threshold. If the operating condition value UY exceeds the preset operating condition threshold, it indicates that the equipment condition of the humidity control module is poor and needs to be eliminated and replaced in time, and an elimination warning signal is generated.

[0080] Embodiment 3: Figure 3 As shown, the difference between this embodiment and the first and second embodiments is that the aluminum powder water loss precision control method based on PID control proposed by the present invention comprises the following steps:

[0081] Step 1: Use a humidity sensor to monitor the humidity of the aluminum powder storage environment in real time;

[0082] Step 2: Based on the real-time humidity value and standard humidity value of the aluminum powder storage environment, the humidity deviation is obtained, and the control amount of the humidity adjustment module is calculated through the PID algorithm according to the humidity deviation;

[0083] Step 3: Perform humidification or dehumidification operation according to the control amount to adjust the humidity of the aluminum powder storage environment;

[0084] Step 4: monitor the adjustment process of the humidity adjustment module, judge the operation performance of the humidity adjustment module, and generate an operation qualification signal or an operation warning signal accordingly;

[0085] Step 5: When the operation warning signal is generated, the background monitoring terminal issues a warning.

[0086] The working principle of the present invention is as follows: when in use, the humidity of the aluminum powder storage environment is monitored in real time through the aluminum powder environment detection module, the PID analysis and control module calculates the control amount of the humidity adjustment module according to the humidity deviation and through the PID algorithm, and the humidity adjustment module performs humidification or dehumidification operations according to the control amount, adjusts the humidity of the aluminum powder storage environment, and realizes precise control of the humidity of the aluminum powder storage environment, thereby avoiding the performance degradation of the aluminum powder due to humidity changes, and improving the quality and stability of the aluminum powder product. The intelligent and automated levels are high, and the adjustment process of the humidity adjustment module is monitored and the operation performance of the humidity adjustment module is judged through the operation monitoring output module. When a qualified operation signal is generated, the humidity adjustment module is subjected to abnormal auxiliary analysis through the abnormal auxiliary analysis module. When an operation warning signal or an abnormal warning signal is generated, a cause investigation and analysis is performed and reasonable improvement measures are made, thereby reducing the subsequent operation risk of the humidity adjustment module and ensuring its operation performance, and significantly reducing the management difficulty of management personnel.

[0087] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. Aluminum powder water loss precision control system based on PID control, characterized by: It includes aluminum powder environment detection module, PID analysis and control module, humidity adjustment module, operation monitoring output module and background supervision terminal; The aluminum powder environment detection module monitors the humidity of the aluminum powder storage environment in real time through a humidity sensor, and sends the real-time humidity value of the aluminum powder storage environment to the PID analysis control module and the background monitoring end, and the background monitoring end displays the real-time humidity value of the aluminum powder storage environment; The PID analysis control module obtains the humidity deviation based on the real-time humidity value and the standard humidity value of the aluminum powder storage environment, calculates the control amount of the humidity adjustment module according to the humidity deviation and through the PID algorithm, and sends the control amount to the humidity adjustment module; The humidity adjustment module performs humidification or dehumidification operations according to the control amount to adjust the humidity of the aluminum powder storage environment; the operation monitoring output module monitors the adjustment process of the humidity adjustment module, judges the operation performance of the humidity adjustment module, and generates an operation qualification signal or an operation warning signal accordingly, and sends the operation qualification signal or the operation warning signal to the background monitoring end, and the background monitoring end issues a warning when receiving the operation warning signal; The specific analysis process of running the monitoring output module includes: Through step-by-step evaluation and analysis, the corresponding humidity adjustment process is marked as an infeasible process or a good evaluation process. A detection period is set, and the number of infeasible processes in the detection period is calculated by ratio to the total number of humidity adjustment processes to obtain an infeasible detection value. If the infeasible detection value exceeds the preset infeasible detection threshold, an operation warning signal is generated. If the infeasible detection value does not exceed the preset infeasible detection threshold, the difference between the strategy value of the corresponding humidity adjustment process and the median of the preset strategy value range is calculated and the absolute value is taken to obtain the effective inspection value, and the ratio of the stabilization value of the corresponding adjustment process to the preset stabilization threshold is marked as the stabilization inspection value; the effective analysis value is obtained by averaging the effective inspection values ​​of all humidity adjustment processes in the detection period, and the stabilization analysis value is obtained by averaging the stabilization inspection values ​​of all humidity adjustment processes in the detection period; The operation control output value is obtained by numerically calculating the infeasible detection value, the effective analysis value and the stable analysis value. If the operation control output value exceeds the preset operation control output threshold, an operation warning signal is generated. If the operation control output value does not exceed the preset operation control output threshold, an operation qualified signal is generated. The specific analysis process of the step-by-step assessment analysis is as follows: The moment when the humidity adjustment module receives the control amount is collected and marked as moment one, and the moment when the humidity adjustment module completes the corresponding humidity adjustment operation is collected and marked as moment two, and the interval between moment one and moment two is marked as monitoring duration; The ratio of the control amount to the monitoring time is marked as the strategy value, and the stabilization value is obtained through adjustment stability analysis. If the strategy value is not within the preset strategy value range or the stabilization value exceeds the preset stabilization threshold, the corresponding humidity adjustment process is marked as an infeasible process; if the strategy value is within the preset strategy value range and the stabilization value does not exceed the preset stabilization threshold, the corresponding humidity adjustment process is marked as an excellent process; The specific analysis process of adjustment stability analysis is as follows: A rectangular coordinate system located in the first quadrant is established with time as the X-axis and the real-time humidity value as the Y-axis, and the humidity change curve of the aluminum powder storage environment during the corresponding humidity adjustment process is obtained. The humidity change curve is placed in the rectangular coordinate system, and the starting point of the humidity change curve is located on the Y-axis; A number of detection points are set on the humidity change curve, and the Y-direction distance between two adjacent groups of detection points is marked as the variable distance value. The variance of all variable distance values ​​is calculated to obtain the fluctuation coefficient, and the proportion of the variable distance values ​​that are not within the preset variable distance value range is marked as the abnormal coefficient. The stabilization value of the corresponding humidity adjustment process is obtained by numerically calculating the fluctuation coefficient and the abnormal coefficient.

2. The aluminum powder dehydration precision control system based on PID control according to claim 1 is characterized in that: The operation monitoring output module is communicatively connected to the abnormal auxiliary analysis module. The operation monitoring output module sends the operation qualified signal to the abnormal auxiliary analysis module. When the abnormal auxiliary analysis module receives the operation qualified signal, it performs abnormal auxiliary analysis on the humidity adjustment module, generates an abnormal warning signal or an auxiliary analysis qualified signal through analysis, and sends the abnormal warning signal or the auxiliary analysis qualified signal to the background supervision end. When the background supervision end receives the abnormal warning signal, it issues a warning.

3. The aluminum powder dehydration precision control system based on PID control according to claim 2 is characterized in that: The specific analysis process of abnormal auxiliary analysis is as follows: During the operation of the humidity control module, the vibration amplitude and the noise decibel value generated are collected. If the vibration amplitude or the noise decibel value exceeds the corresponding preset threshold, it is determined that the humidity control module is in an abnormal operation state; The duration of the humidity regulating module being in the abnormal operation state during the detection period is obtained and the ratio thereof is calculated with the total operation duration of the humidity regulating module during the detection period to obtain the abnormal operation time measurement value, and the frequency of occurrence of the single duration of the humidity regulating module being in the abnormal operation state during the detection period exceeding the corresponding preset single duration threshold is marked as an excessively long abnormal detection value, and the maximum value of the single duration of the humidity regulating module being in the abnormal operation state during the detection period is marked as an abnormal amplitude analysis value; The abnormal auxiliary analysis value is obtained by numerically calculating the abnormal operation time measurement value, the over-long abnormal detection value and the abnormal amplitude analysis value. If the abnormal auxiliary analysis value exceeds the preset abnormal auxiliary analysis threshold, an abnormal warning signal is generated; if the abnormal auxiliary analysis value does not exceed the preset abnormal auxiliary analysis threshold, an auxiliary analysis qualified signal is generated.

4. The aluminum powder dehydration precision control system based on PID control according to claim 1 is characterized in that: The background monitoring end is communicated with the operation diagnosis feedback module. When an operation warning signal or an abnormal warning signal is generated, the operation diagnosis feedback module will perform an elimination diagnosis on the humidity adjustment module, and determine through analysis whether to generate an elimination warning signal, and send the elimination warning signal to the background monitoring end. When the background monitoring end receives the elimination warning signal, it will issue a warning.

5. The aluminum powder dehydration precision control system based on PID control according to claim 4 is characterized in that: The specific analysis process of running the diagnostic feedback module is as follows: The production date of the humidity control module is collected, and the time difference between the current date and the production date of the humidity control module is calculated to obtain the production time, and the total time the humidity control module is in operation in the historical stage is marked as the operation time; And through analysis, the environmental risk time of the humidity control module is obtained, and the frequency of the maintenance interval time of the humidity control module in the historical stage exceeding the preset maintenance interval time threshold is marked as the heterodimensional coefficient; by numerically calculating the production time, operation time, environmental risk time and heterodimensional coefficient to obtain the operation diagnosis value, if the operation diagnosis value exceeds the preset operation diagnosis threshold, an elimination warning signal is generated.

6. The aluminum powder dehydration precision control system based on PID control according to claim 5 is characterized in that: The specific method for analyzing and obtaining the environmental risk duration is as follows: The ambient temperature and ambient humidity of the environment where the humidity adjustment module is located are collected, and the deviation value of the ambient temperature compared to the set suitable temperature standard value is marked as the ambient temperature measurement value, and the deviation value of the ambient humidity compared to the set suitable humidity standard value is marked as the ambient humidity measurement value; The dust concentration of the environment in which the humidity control module is located is collected and marked as the environmental gray measurement value. The module damage assessment value is obtained by numerically calculating the ambient temperature measurement value, the ambient humidity measurement value and the ambient gray measurement value. If the module damage assessment value exceeds the preset module damage assessment threshold, the humidity control module is judged to be in an over-damaged state. The total duration of the humidity control module in the over-damaged state in the historical stage is obtained and marked as the environmental risk duration.

7. A method for precise control of aluminum powder water loss based on PID control, characterized in that: The method adopts the aluminum powder water loss precision control system based on PID control as described in any one of claims 1 to 6.

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