A data analysis-based automatic flotation reagent adding control system

Abstract

The application provides a kind of based on data analysis's automatic addition control system of flotation reagent, belongs to the field of flotation system, including flotation acquisition module, server, control unit;Server is used to receive ore pulp flotation related parameters and storage;Ore pulp flotation related parameters are analyzed to obtain ore material flotation index;When generating ore material flotation index, corresponding signal generation operation is carried out to obtain fine tuning correction signal, variable adjustment signal;Control unit is used to receive corresponding signal and execute corresponding operation, specifically: when generating fine tuning correction signal, historical ore pulp flotation related parameters are extracted and estimated value is generated.The application monitors and analyzes multiple parameters related to ore pulp flotation, continuously fine-tunes the corresponding device to adapt to the collected multiple parameters, and makes the energy consumption and flotation reagent consumption of the corresponding device production in a better range, maximizing production benefits.

Description

Technical Field

[0001] This invention belongs to the field of flotation system technology, specifically an automatic addition control system for flotation reagents based on data analysis. Background Technology

[0002] Flotation reagents are chemical agents used in the mineral flotation process to adjust the surface properties of minerals, increase or decrease their floatability, and make the pulp properties and foam stability more conducive to mineral separation.

[0003] While the document in publication number CN204469904U can automatically and in real-time control the quantitative addition of flotation reagents based on changes in mineral concentration and feed flow rate parameters, it lacks the ability to control multiple devices on the flotation equipment according to real-time changes in various pulp flotation parameters, and it does not have the capability to adjust for expected changes based on historical and recent parameters. Therefore, we propose a data analysis-based automatic flotation reagent addition control system to address the aforementioned problems. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an automatic flotation reagent addition control system based on data analysis, which solves the problems mentioned in the background art, namely, the lack of corresponding control over multiple devices on the flotation equipment according to the real-time changes of various pulp flotation parameters, and the lack of adjustment based on historical and recent parameters.

[0005] The objective of this invention can be achieved through the following technical solution: including a flotation acquisition module, a server, and a control unit;

[0006] The flotation acquisition module is used to acquire relevant parameters of the slurry flotation; among which, the relevant parameters of the slurry flotation include mineral concentration parameters, slurry pH parameters, impurity sedimentation amount parameters, froth layer thickness parameters, slurry flow rate parameters, aeration flow rate parameters, stirring speed parameters, and flotation reagent concentration parameters in the slurry.

[0007] The server receives and stores relevant parameters for slurry flotation; performs slurry analysis on these parameters to obtain the flotation index; when generating the flotation index, if the index is within the normal flotation threshold, no action is taken; if a corresponding signal generation operation is performed, and the index is within the deviation threshold, a fine-tuning correction signal is generated; if the index is outside both the normal and deviation thresholds, a variable adjustment signal is generated.

[0008] The control unit is used to receive corresponding signals and perform corresponding operations, specifically:

[0009] When a fine-tuning correction signal is generated, relevant parameters from historical pulp flotation are extracted and estimated values ​​are generated; fine-tuning correction operations are then performed based on the estimated values.

[0010] When a variable adjustment signal is generated, the generating personnel retrieve the corresponding adjustment personnel; the variable adjustment signal and the device number and location corresponding to the slurry flotation parameters are sent to the adjustment personnel's smart terminal; after receiving the variable adjustment signal and the corresponding device number and location through the smart terminal, the adjustment personnel adjust and control the corresponding device.

[0011] As a preferred embodiment of the present invention, the specific steps for performing pulp analysis on relevant parameters of pulp flotation to obtain the pulp flotation index are as follows:

[0012] The moment the slurry enters the flotation equipment is marked as the first moment. The selected time is calculated by comparing the first moment with the current moment. Several time intervals are preset for the selected time.

[0013] Obtain the mineral concentration and pulp pH value corresponding to the selected duration, and process the mineral concentration and pulp pH value to obtain pulp separation value and pH change index respectively;

[0014] Obtain the concentration of flotation reagents in the slurry for all selected durations within the time interval. Sum the concentrations of flotation reagents in the slurry for all selected durations within the time interval and take the average value to obtain the slurry reagent value. Calculate the slurry reagent variable index from the slurry reagent value.

[0015] The amount of impurities that settle in the internal time interval of the flotation equipment is obtained, and the amount of impurities that settle is processed to obtain the sediment float index.

[0016] The slurry flow rate, aeration flow rate of the aeration device, and stirring speed of the slurry mixing device are obtained at interval time zones. The time it takes for the scraper plate on the flotation device to rotate one revolution is obtained, and the increase in foam thickness on the slurry surface during this time is captured. The slurry flow rate, aeration flow rate of the aeration device, stirring speed of the slurry mixing device, and increase in foam thickness are calculated to obtain the flotation bubble generation index.

[0017] The slurry separation value, acid-base change index, slurry chemical change index, sedimentation float index, and flotation bubble generation index were normalized to obtain the ore flotation index.

[0018] In a preferred embodiment of the present invention, the server further includes a database, a preprocessing module, and an analysis module;

[0019] The database is used to receive and store parameters related to slurry flotation.

[0020] The analysis module is used to perform slurry analysis on relevant parameters of slurry flotation to obtain the ore flotation index. When generating the ore flotation index, if the ore flotation index is within the normal flotation threshold, no operation is performed; if the corresponding signal generation operation is performed, if the ore flotation index is within the flotation deviation threshold, a fine-tuning correction signal is generated; if the ore flotation index is not within either the normal flotation threshold or the flotation deviation threshold, a variable adjustment signal is generated.

[0021] The pre-processing module is used to extract historical slurry flotation-related parameters from the database; when a flotation adjustment signal is received, it performs a pre-analysis of the historical slurry flotation-related parameters and the slurry flotation-related parameters to obtain a pre-estimated value; and performs fine-tuning correction operations based on the pre-estimated value.

[0022] As a preferred embodiment of the present invention, the specific steps of the predictive analysis to obtain the predicted value are as follows:

[0023] Step 1: Receive historical pulp flotation parameters for each batch of ore from the same ore address; extract the corresponding historical pulp flotation parameters from the database and establish a historical parameter matrix. Where n is the number of historical pulp flotation related parameters extracted, and m is the value corresponding to the historical pulp flotation related parameters. Each row of historical parameters includes pulp flotation related parameters such as mineral concentration parameters, pulp pH parameters, impurity sedimentation amount parameters, foam layer thickness parameters, pulp flow rate parameters, aeration flow rate parameters, stirring speed parameters, and pulp internal flotation reagent concentration parameters.

[0024] Step 2: Select p historical similar parameters of Ki, which correspond to the same ore source address, to obtain the historical similarity parameter matrix. Historical similarity parameters are calculated using the KNN algorithm; the q most recent parameters of Ki, the most recent relevant parameters of slurry flotation at the current time, are selected to obtain the recent parameter matrix. ;

[0025] Step 3: Calculate the predicted term Kiv for the predicted pulp flotation-related parameter item Ki using the historical similarity parameter matrix and the recent parameter matrix. ,in, , Where fgi and fhi are the correction values ​​of each parameter in the historical similarity parameter matrix and Ki, respectively, and the correction values ​​of each parameter in the recent parameter matrix and Ki, respectively. The correction values ​​can be obtained by the Euclidean distance calculation formula.

[0026] In a preferred embodiment of the present invention, a fine-tuning correction operation is performed based on the estimated value. The specific correction operation steps are as follows:

[0027] Obtain the correction value fgi of each parameter in the historical similar parameter matrix and Ki, and the correction value fhi of each parameter in the recent parameter matrix and Ki. Based on the corresponding correction values, the control unit controls the aeration flow rate of the slurry flow control valve, the aeration flow rate of the aeration device, the stirring speed of the slurry stirring device, the scraping speed of the flotation device, and the dosing speed of the dosing device, so that the relevant parameters of slurry flotation reach the values ​​corresponding to the predicted term Kiv.

[0028] In a preferred embodiment of the present invention, the server further includes an inspection module and an assembly / processing module;

[0029] The loading and inspection module is used to collect operational information from the dosing device, aeration device, slurry flow control valve, slurry mixing device, and flotation device; the operational information includes the operating parameters and environmental parameters of the corresponding device.

[0030] The device processing module is used to perform maintenance analysis on the working information of the corresponding device to obtain the adjustment value of the corresponding device. When the adjustment value of the corresponding device is not at the set threshold corresponding to the corresponding device, the maintenance signal corresponding to the corresponding device is generated and sent to the personnel retrieval module.

[0031] In a preferred embodiment of the present invention, the server further includes a personnel allocation module;

[0032] When the personnel allocation module receives a maintenance command or variable adjustment signal, it sends an information acquisition instruction to the smart terminal of the maintenance personnel to obtain the personal information of the maintenance personnel; it acquires the maintenance personnel in an idle state, processes their personal information to obtain the personal value of the maintenance personnel; it performs a personnel allocation operation based on the personal value to obtain the corresponding adjustment personnel; after receiving the variable adjustment signal, maintenance command and the corresponding device number and location through the smart terminal, the adjustment personnel perform adjustment control on the corresponding device;

[0033] In a preferred embodiment of the present invention, the specific process of personnel retrieval is as follows: obtain the personal values ​​of all maintenance personnel, and mark the three maintenance personnel with the highest values ​​as preferred personnel; send the corresponding travel instruction to the preferred personnel with maintenance signaling or variable adjustment signal; if the preferred personnel confirm the travel instruction, obtain the feedback time of all personnel, select the preferred personnel with the smallest feedback time, and mark them as adjustment personnel; if the preferred personnel do not provide feedback or deny the feedback of the travel instruction within the specified feedback time, then continue to select three maintenance personnel from the three maintenance personnel with the highest personal values ​​to the lowest values ​​and mark them as preferred personnel, repeat the above process until adjustment personnel are generated and then stop repeating the process.

[0034] In a preferred embodiment of the present invention, the present invention further includes a flotation device body, wherein a flotation device scraping device is provided on the flotation device body; and a flotation collection tank is fixedly connected to one side of the flotation device body.

[0035] The bubble removal device includes a drive motor, a mounting plate, a transmission shaft, a bubble scraper, and auxiliary components; the transmission shaft is rotatably connected to one side of the mounting plate, and the bubble scraper is fixedly connected to the surface of the transmission shaft via a connecting rod; the drive motor is mounted on the main body of the bubble removal device, and the output shaft of the drive motor is connected to one end of the transmission shaft via a transmission component.

[0036] The auxiliary components include an arc-shaped groove, an elastic element, a slider, and a scraper; the arc-shaped groove is fixedly connected to one side of the mounting plate, the inner wall of the arc-shaped groove is fixedly connected to an elastic element, one end of the elastic element is fixedly connected to a slider that slides through the arc-shaped groove, and one side of the slider is fixedly connected to a scraper that works in conjunction with the bubble scraper.

[0037] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0038] 1. This invention monitors and analyzes multiple parameters related to slurry flotation. The server analyzes these parameters to obtain the flotation index of the ore. The flotation index is matched with the corresponding signal to obtain the corresponding signal. The control unit executes the corresponding operation based on the corresponding signal. The corresponding device is continuously fine-tuned to adapt to the collected multiple parameters, so that the energy consumption and flotation reagent consumption of the corresponding device are within an optimal range, thereby maximizing production benefits.

[0039] 2. This invention intelligently extracts historical and recent parameters related to pulp flotation from the database through a pre-processing module, constructs a causal prediction model to obtain estimated values, and can predict changes in pulp flotation-related parameters in advance through estimated and corrected values, thereby controlling the operation of the corresponding devices in advance to ensure the timeliness of adjustment and control of the corresponding devices and improve the flotation efficiency of the flotation equipment.

[0040] 3. This invention collects the working information of the corresponding device through the installation and inspection module, and performs maintenance analysis by the installation and handling module to obtain the adjustment value. When the adjustment value is not at the corresponding set threshold, a maintenance signal is generated. When the maintenance signal or variable adjustment signal is generated, an information acquisition instruction is sent to the smart terminal of the maintenance personnel to obtain the personal information of the maintenance personnel. The idle maintenance personnel are acquired, and their personal information is processed to obtain the personal value of the maintenance personnel. Based on the personal value, a personnel retrieval operation is performed to obtain the corresponding adjustment personnel. After receiving the variable adjustment signal, maintenance signal, and the corresponding device number and location through the smart terminal, the adjustment personnel adjust and control the corresponding device. By adjusting the corresponding device, the accuracy of the system in intelligently controlling the operation of the corresponding device is ensured.

[0041] 4. When the flotation device of the present invention is used in conjunction with the auxiliary components, the scraper 9 can pop the foam on the scraper plate 5, preventing the foam on the scraper plate 5 from returning to the slurry and improving the flotation efficiency. Attached Figure Description

[0042] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0043] Figure 1 This is a block diagram illustrating the principle of an automatic flotation reagent addition control system based on data analysis according to the present invention.

[0044] Figure 2 This is a line graph of the pulp concentration point and acid / base point of an automatic flotation reagent addition control system based on data analysis according to the present invention.

[0045] Figure 3 This is a structural diagram of the main body of the flotation equipment of the present invention;

[0046] Figure 4 yes Figure 3 Cross-sectional view of the central arc groove;

[0047] Figure 5 yes Figure 4 The motion trend diagram between the slider and the bubble scraper in the image;

[0048] In the diagram: 1. Main body of flotation equipment; 2. Mounting plate; 3. Drive shaft; 4. Drive motor; 5. Bubble scraper; 6. Arc groove; 7. Elastic component; 8. Sliding block; 9. Scraper; 10. Bubble collection tank. Detailed Implementation

[0049] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] First Embodiment

[0051] Please see Figures 1-2 As shown, an automatic flotation reagent addition control system based on data analysis includes a flotation acquisition module, a server, and a control unit;

[0052] The flotation acquisition module is used to acquire relevant parameters of the slurry flotation; among which, the relevant parameters of the slurry flotation include mineral concentration parameters, slurry pH parameters, impurity sedimentation amount parameters, froth layer thickness parameters, slurry flow rate parameters, aeration flow rate parameters, stirring speed parameters, and flotation reagent concentration parameters in the slurry.

[0053] The server is used to receive and store relevant parameters for slurry flotation; perform slurry analysis on the relevant parameters to obtain the ore flotation index; and perform corresponding signal generation operations when generating the ore flotation index to obtain fine-tuning correction signals and variable adjustment signals.

[0054] The control unit is used to receive corresponding signals and perform corresponding operations, specifically:

[0055] When a fine-tuning correction signal is generated, relevant parameters from historical pulp flotation are extracted and estimated values ​​are generated; fine-tuning correction operations are then performed based on the estimated values.

[0056] When a variable adjustment signal is generated, the generating personnel retrieve the corresponding adjustment personnel; the variable adjustment signal and the device number and location corresponding to the slurry flotation parameters are sent to the adjustment personnel's smart terminal; after receiving the variable adjustment signal and the corresponding device number and location through the smart terminal, the adjustment personnel adjust and control the corresponding device.

[0057] The specific steps for performing pulp analysis on relevant parameters of pulp flotation to obtain the pulp flotation index are as follows:

[0058] The moment the slurry enters the flotation equipment is marked as the first moment. The selected time is calculated by comparing the first moment with the current moment. Several time intervals are preset for the selected time.

[0059] Obtain the mineral concentration and pulp pH corresponding to the selected duration. Sort all mineral concentrations and pulp pH values ​​according to the selected duration. Substitute the corresponding mineral concentration, pulp pH value, and selected duration into the corresponding line graph. Mark the points on the line graph corresponding to the selected duration as pulp concentration points and pH points, respectively. Connect adjacent pulp concentration points to obtain a pulp concentration line. Draw a straight line perpendicular to the selected duration from the pulp concentration points. Calculate the angle between this line and the pulp concentration line. When the angle is acute, mark it as a descending angle value; when the angle is obtuse, mark it as an ascending angle value. Sum all the descending angle values ​​and... The average value is taken to obtain the concentration decrease value QA1. All rise angle values ​​are summed and averaged to obtain the concentration increase value QA2. The pulp separation value QA is obtained using QA = QA1*a1 - QA2*a2. Adjacent acid / alkali points are connected to obtain acid / alkali lines. The length of the acid / alkali lines is calculated. Using the initial acid / alkali point as the coordinate point, the acid / alkali lines in the first quadrant of the coordinate point are marked as high acid / alkali values, and the acid / alkali lines in the fourth quadrant of the coordinate point are marked as low acid / alkali values. The high acid / alkali values ​​within the time interval are summed and averaged to obtain the average high value QB1, and the low acid / alkali values ​​within the time interval are summed and averaged to obtain the average low value QB2. The average high and average low values ​​are calculated using... The acid-base change index QB is obtained; among which, , , where are the standard deviation and variance of the mean height, respectively, and jQB1 is the mean height of the pulp pH value in the j-th time interval. , , respectively, are the standard deviation and variance of the mean low value, and jQB2 is the mean low value of the pulp acid-base value in the j-th time interval;

[0060] Obtain the flotation reagent concentration in the pulp for all selected durations within the time interval. Sum the flotation reagent concentrations in the pulp for all selected durations within the time interval and take the average value to obtain the pulp-reagent value QC1. Then, use... The slurry reagent variable index QC is obtained; where j is the number of time intervals included in the selected duration, and iQC is the concentration of flotation reagent in the slurry at time i.

[0061] Obtain the amount of impurities settled in the time interval of the flotation equipment. Collect all the impurities settled in the order of the time interval and sort them sequentially. Substitute the time interval and the amount of impurities settled into the corresponding line graph and mark the points of the corresponding amount of impurities settled in the line graph as the settling points.

[0062] Connect two adjacent sedimentation points to obtain a sedimentation line, and calculate the angle between the sedimentation line and the horizontal line. Using the initial sedimentation point as the coordinate point, mark the angle between the sedimentation line in the first quadrant and the horizontal line as the increment angle, and mark the angle between the sedimentation line in the fourth quadrant and the horizontal line as the decrement angle. Summate all the increment angles to obtain the increment value QD1, and sum all the decrement angles to obtain the decrement value QD2. Calculate the increment and decrement values ​​using... The sediment float index QD was obtained; among which, , denoted as the standard deviation and variance of the mean height, respectively, and jQD1 represents the increment of impurity sedimentation in the j-th time interval. , , respectively, are the standard deviation and variance of the mean low value, jQD2 is the reduction value of the amount of impurity sedimentation in the j-th time interval, and a5 and a6 are the weighting factors of the incremental value and the reduction value on the amount of impurity sedimentation, respectively;

[0063] The slurry flow rate, aeration flow rate of the aeration device, and stirring speed of the slurry mixing device are obtained at intervals. The time it takes for the scraper plate on the froth removal device to rotate one revolution is also obtained. The increase in foam thickness on the slurry surface during this time is captured and marked as QE1. The slurry flow rate QE2, aeration flow rate of the aeration device QE3, stirring speed of the slurry mixing device QE4, and foam thickness increase QE1 are calculated. The froth generation index QE is obtained using QE=QE1*a7+QE2*a8+QE3*a8+QE4*a10. Among them, a7, a8, a9, and a10 are the weighting factors corresponding to foam thickness increase, slurry flow rate, aeration flow rate, and stirring speed.

[0064] Normalization was performed on the slurry selection value, acid-base change index, slurry chemical change index, sediment float index, and foam generation index. To obtain the flotation index PQ of the ore.

[0065] The server also includes a database, a preprocessing module, and an analysis module;

[0066] The database is used to receive and store parameters related to slurry flotation.

[0067] The analysis module is used to perform slurry analysis on relevant parameters of slurry flotation to obtain the ore flotation index. When generating the ore flotation index, if the ore flotation index is within the normal flotation threshold, no operation is performed; if the corresponding signal generation operation is performed, if the ore flotation index is within the flotation deviation threshold, a fine-tuning correction signal is generated; if the ore flotation index is not within either the normal flotation threshold or the flotation deviation threshold, a variable adjustment signal is generated.

[0068] The pre-processing module is used to extract historical slurry flotation-related parameters from the database; when a flotation adjustment signal is received, it performs a pre-analysis of the historical slurry flotation-related parameters and the slurry flotation-related parameters to obtain a pre-estimated value; and performs fine-tuning correction operations based on the pre-estimated value.

[0069] The specific steps of the preliminary analysis to obtain the estimated value are as follows:

[0070] Step 1: Receive historical pulp flotation parameters for each batch of ore from the same ore address; extract the corresponding historical pulp flotation parameters from the database and establish a historical parameter matrix. Where n is the number of historical pulp flotation related parameters extracted, and m is the value corresponding to the historical pulp flotation related parameters. Each row of historical parameters includes pulp flotation related parameters such as mineral concentration parameters, pulp pH parameters, impurity sedimentation amount parameters, foam layer thickness parameters, pulp flow rate parameters, aeration flow rate parameters, stirring speed parameters, and pulp internal flotation reagent concentration parameters.

[0071] Step 2: Select p historical similar parameters of Ki, which correspond to the same ore source address, to obtain the historical similarity parameter matrix. Historical similarity parameters are calculated using the KNN algorithm; the q most recent parameters of Ki, the most recent relevant parameters of slurry flotation at the current time, are selected to obtain the recent parameter matrix. ;

[0072] Step 3: Calculate the predicted term Kiv for the predicted pulp flotation-related parameter item Ki using the historical similarity parameter matrix and the recent parameter matrix. ,in, , , where fgi and fhi are the correction values ​​of each parameter in the historical similarity parameter matrix and Ki, respectively, and the correction values ​​of each parameter in the recent parameter matrix and Ki. The correction values ​​can be obtained by the Euclidean distance calculation formula.

[0073] The estimated value is adjusted and corrected. The specific steps for the correction are as follows:

[0074] Obtain the correction value fgi of each parameter in the historical similar parameter matrix and Ki, and the correction value fhi of each parameter in the recent parameter matrix and Ki. Based on the corresponding correction values, the control unit controls the aeration flow rate of the slurry flow control valve, the aeration flow rate of the aeration device, the stirring speed of the slurry stirring device, the scraping speed of the flotation device, and the dosing speed of the dosing device, so that the relevant parameters of slurry flotation reach the values ​​corresponding to the predicted term Kiv.

[0075] The server also includes an inspection module and an assembly / processing module;

[0076] The loading and inspection module is used to collect operational information from the dosing device, aeration device, slurry flow control valve, slurry mixing device, and flotation device; the operational information includes the operating parameters and environmental parameters of the corresponding device.

[0077] The device processing module is used to perform maintenance analysis on the working information of the corresponding device to obtain the adjustment value of the corresponding device. When the adjustment value of the corresponding device is not at the set threshold corresponding to the corresponding device, the maintenance signal corresponding to the corresponding device is generated and sent to the personnel retrieval module.

[0078] The server also includes a personnel allocation module;

[0079] When the personnel allocation module receives a maintenance command or variable adjustment signal, it sends an information acquisition instruction to the smart terminal of the maintenance personnel to obtain the personal information of the maintenance personnel; it acquires the maintenance personnel in an idle state, processes their personal information to obtain the personal value of the maintenance personnel; it performs a personnel allocation operation based on the personal value to obtain the corresponding adjustment personnel; after receiving the variable adjustment signal, maintenance command and the corresponding device number and location through the smart terminal, the adjustment personnel perform adjustment control on the corresponding device;

[0080] The specific process of personnel retrieval is as follows: Obtain the personal values ​​of all maintenance personnel, and mark the three maintenance personnel with the highest values ​​as preferred personnel; send the corresponding travel instruction to the preferred personnel via maintenance signaling or variable adjustment signal; if the preferred personnel confirm the travel instruction, obtain the feedback time of all personnel, select the preferred personnel with the smallest feedback time, and mark them as adjustment personnel; if the preferred personnel do not provide feedback or deny feedback within the specified feedback time, then continue to select three maintenance personnel from the three maintenance personnel with the highest personal values ​​to the lowest values ​​and mark them as preferred personnel, repeating the above process until adjustment personnel are generated and then the process is stopped.

[0081] The specific process of processing the personal information of maintenance personnel to obtain their personal values ​​is as follows: obtain the current address of the maintenance personnel, calculate the distance between the current address of the maintenance personnel and the location corresponding to the device to obtain the maintenance interval and record it as YR1; mark the length of service and the number of times the maintenance personnel have been adjusted in the current month as YR2 and YR3 respectively; mark the maintenance interval, length of service, and number of times the maintenance personnel have been adjusted in the current month as the personal information of the maintenance personnel.

[0082] The adjustment interval, service life, and number of adjustments made in the current month are normalized using a formula. Obtain the individual values ​​of the maintenance personnel;

[0083] Please refer to the following: Figure 3-5 Based on the data analysis-based automatic flotation reagent addition control system provided in the first embodiment of this application, the second embodiment of this application proposes another data analysis-based automatic flotation reagent addition control system. The second embodiment is merely a preferred embodiment of the first embodiment, and its implementation will not affect the independent implementation of the first embodiment.

[0084] Specifically, the difference in the data analysis-based automatic addition control system for flotation reagents provided in the second embodiment of this application is that: the present invention also includes a flotation equipment body 1, on which a flotation equipment body 1 is provided with a flotation bubble scraping device; a flotation bubble collection tank 10 is fixedly connected to one side of the flotation equipment body 1;

[0085] The bubble removal device includes a drive motor 4, a mounting plate 2, a transmission shaft 3, a bubble scraper 5, and auxiliary components; the transmission shaft 3 is rotatably connected to one side of the mounting plate 2, and the bubble scraper 5 is fixedly connected to the surface of the transmission shaft 3 through a connecting rod; the drive motor 4 is mounted on the main body 1 of the bubble removal device, and the output shaft of the drive motor 4 is connected to one end of the transmission shaft 3 through a transmission component.

[0086] The auxiliary components include an arc groove 6, an elastic element 7, a slider 8, and a scraper 9. The arc groove 6 is fixedly connected to one side of the mounting plate 2. The inner wall of the arc groove 6 is fixedly connected to the elastic element 7. One end of the elastic element 7 is fixedly connected to the slider 8, which is slidably connected to the arc groove 6. One side of the slider 8 is fixedly connected to the scraper 9, which is used in conjunction with the scraper plate 5.

[0087] When the main body 1 of the flotation equipment is working, the slurry flow control valve is opened, and the slurry enters the main body 1 of the flotation equipment. The slurry is floated by the aeration device, the slurry stirring device, and the flotation scraping device. When the flotation scraping device is operating, the drive motor 4 drives the drive shaft 3 to rotate the flotation scraper 5 through the transmission component to scrape the foam on the surface of the slurry and throw the foam into the flotation collection tank 10 under the action of centrifugal force. At the same time, when the flotation scraper 5 scoops up the foam and throws it out, the flotation scraper 5 drives the scraper 9 to follow the slider 8 in the arc groove 6 in a curved movement. This causes the elastic element 7 to deform elastically, and under its action, the scraper 9 scrapes the foam on the flotation scraper 5. After the flotation scraper 5 rotates to a certain angle, the scraper 9 separates from the flotation scraper 5. The elastic deformation of the elastic element 7 causes the scraper 9 to pop the foam on the flotation scraper 5 out, preventing the foam on the flotation scraper 5 from returning to the slurry and improving the flotation efficiency.

[0088] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A data analysis based automatic reagent addition control system for a flotation process, characterized in that, The application relates to a mineral slurry flotation system, which comprises the following: a flotation acquisition module for acquiring mineral slurry flotation related parameters; a server for receiving and storing the mineral slurry flotation related parameters; mineral slurry analysis is performed on the mineral slurry flotation related parameters to obtain a mineral material flotation index; when the mineral material flotation index is generated, a matching operation is performed on the corresponding signal group to obtain a fine-tuning correction signal and a variable adjustment signal; a control unit for receiving the corresponding signal and performing the corresponding operation, specifically: when the fine-tuning correction signal is generated, historical mineral slurry flotation related parameters are extracted and a predicted value is generated; fine-tuning correction operation is performed according to the predicted value; when the variable adjustment signal is generated, a personnel calling operation is generated to obtain corresponding adjustment personnel; the variable adjustment signal and the device number and position corresponding to the mineral slurry flotation related parameters are sent to the intelligent terminal of the adjustment personnel; after the adjustment personnel receives the variable adjustment signal and the corresponding device number and position through the intelligent terminal, adjustment control is performed on the corresponding device; the specific steps of performing mineral slurry analysis on the mineral slurry flotation related parameters to obtain the mineral material flotation index are as follows: the moment when the mineral slurry enters the flotation equipment is recorded as the first moment, the first moment and the current moment are calculated to obtain the selected time length; the selected time length is divided into several interval time zones; The mineral concentration and the pulp acid-base value corresponding to the selected time length are obtained, all the mineral concentrations and the pulp acid-base values are sorted according to the selected time length, the corresponding mineral concentration, the pulp acid-base value and the selected time length are substituted into the corresponding line graph, and the mineral concentration and the pulp acid-base value corresponding to the selected time length are marked as pulp concentration points and acid-base points in the line graph; the adjacent pulp concentration points are connected to obtain a pulp concentration line, a straight line perpendicular to the selected time length is drawn from the pulp concentration point, and the angle between the straight line and the pulp concentration line is calculated; when the angle is an acute angle, the angle is marked as a descending angle value, and when the angle is an obtuse angle, the angle is marked as an ascending angle value; all the descending angle values are summed and averaged to obtain a concentration descending value QA1, and all the ascending angle values are summed and averaged to obtain a concentration ascending value QA2; the pulp selection value QA is obtained by using QA=QA1*a1-QA2*a2; the adjacent acid-base points are connected to obtain an acid-base line, the length of the acid-base line is calculated, the starting acid-base point is taken as a coordinate point, the acid-base line in the first quadrant of the coordinate point is marked as an acid-base high value, and the acid-base line in the fourth quadrant of the coordinate point is marked as an acid-base low value; the acid-base high values in the interval time zone are summed and averaged to obtain an average high value QB1, and the acid-base low values in the interval time zone are summed and averaged to obtain an average low value QB2; the average high value and the average low value are calculated, and the acid-base change index QB is obtained by using ; wherein, , are the standard deviation and the variance of the average high value respectively, and jQB1 is the average high value of the pulp acid-base value in the jth interval time zone, , are the standard deviation and the variance of the average low value respectively, and jQB2 is the average low value of the pulp acid-base value in the jth interval time zone. The pulp medicament concentration of all selected time intervals in the interval time zone is obtained, and the pulp medicament concentration of all selected time intervals in the interval time zone is summed to obtain the average value of the pulp medicament value QC1, and the pulp medicament value QC1 is used to obtain the pulp medicament variable index QC; wherein j is the number of interval time zones contained in the selected time interval, and iQC is the concentration of the pulp containing the flotation medicament at the ith moment. the impurity sedimentation amount in the interval time zone of the flotation equipment is acquired, all the impurity sedimentation amounts are sequentially sorted according to the order interval time zone, the interval time zone and the impurity sedimentation amount are substituted into the corresponding line graph, and the points of the corresponding impurity sedimentation amount in the line graph are marked as sedimentation points; connecting two adjacent precipitation points to obtain a precipitation line, calculating the angle between the precipitation line and the horizontal line; taking the starting precipitation point as a coordinate point, marking the angle between the precipitation line in the first quadrant and the horizontal line as an incremental angle, and marking the angle between the precipitation line in the fourth quadrant and the horizontal line as a decremental angle; summing up all the incremental angles to obtain an incremental value QD1, and summing up all the decremental angles to obtain a decremental value QD2; calculating the incremental value and the decremental value, and using the formula to obtain a precipitation material floating index QD; wherein, , respectively are the standard deviation and variance of the average high value, jQD1 is the incremental value of the impurity precipitation amount at the jth interval, , respectively are the standard deviation and variance of the average low value, jQD2 is the decremental value of the impurity precipitation amount at the jth interval, and a5 and a6 are weight influence factors of the incremental value and the decremental value on the impurity precipitation amount. the mineral slurry flow, the aeration flow of the aeration device and the stirring speed of the mineral slurry stirring device in the interval time zone are acquired, the time for the froth scraping plate on the froth scraping device to rotate one circle is acquired, the increasing thickness of the froth on the surface of the mineral slurry in the time is captured and marked as QE1, the mineral slurry flow QE2, the aeration flow QE3 of the aeration device, the stirring speed QE4 of the mineral slurry stirring device and the increasing thickness of the froth QE1 are calculated, and the froth generation index QE is obtained by utilizing QE=QE1*a7+QE2*a8+QE3*a8+QE4*a10; wherein a7, a8, a9 and a10 are weight influence factors corresponding to the increasing thickness of the froth, the mineral slurry flow, the aeration flow and the stirring speed; The pulp selection value, acid-base change index, pulp medicine variable index, precipitate sediment floating index and floating bubble generation index are normalized, to obtain a mineral material flotation index PQ; the server further comprises a database, a pre-processing module and an analysis module; the database is used for receiving and storing the mineral slurry flotation related parameters; the analysis module is used for performing mineral slurry analysis on the mineral slurry flotation related parameters to obtain the mineral material flotation index; when the mineral material flotation index is generated, if the mineral material flotation index is within a flotation normal threshold value, no operation is performed; if the corresponding signal is generated, if the mineral material flotation index is within a flotation deviation threshold value, a fine-tuning correction signal is generated; if the mineral material flotation index is not within the flotation normal threshold value and the flotation deviation threshold value, a variable adjustment signal is generated; the pre-processing module is used for extracting historical mineral slurry flotation related parameters from the database; when the flotation adjustment signal is received, the historical mineral slurry flotation related parameters and the mineral slurry flotation related parameters are pre-estimated and analyzed to obtain a predicted value; fine-tuning correction operation is performed according to the predicted value; the specific process steps of the pre-estimated analysis to obtain the predicted value are as follows: The first step is to receive the historical parameters of the same ore material address of each batch of ore material, extract the corresponding historical parameters of the ore slurry flotation from the database, and establish a historical parameter matrix ; wherein n is the number of extracted historical parameters of the ore slurry flotation, m is the corresponding numerical value of the historical parameters of the ore slurry flotation, each row of historical parameters includes the parameters of the ore slurry flotation, including the parameters of the mineral concentration, the parameters of the ore slurry acid-base value, the parameters of the impurity sedimentation, the parameters of the foam layer thickness, the parameters of the ore slurry flow, the parameters of the aeration flow, the parameters of the stirring speed, and the parameters of the concentration of the ore slurry flotation reagent. Second step: select p historical similar parameters of the historical ore pulp flotation related parameter entry Ki corresponding to the same mineral material source address to obtain a historical similar parameter matrix The historical similar parameters are calculated through a KNN algorithm; select q recent parameters of the current time closest ore pulp flotation related parameter Ki to obtain a recent parameter matrix ​ Third step: calculate the predicted item Kiv of the predicted ore pulp flotation related parameter item Ki through the historical similar parameter matrix and the recent parameter matrix, wherein, , wherein, fgi, fhi are respectively the correction value of each parameter in the historical similar parameter matrix and the correction value of each parameter in the recent parameter matrix, and the correction value is obtained through the Euclidean distance calculation formula.

2. The data analysis based automatic reagent addition control system for a flotation process according to claim 1, characterized in that, fine-tuning correction operation is performed according to the predicted value, and the specific correction operation steps are as follows: The correction value fgi of each parameter in the historical similar parameter matrix and the correction value fhi of each parameter in the recent parameter matrix are obtained, and the control unit controls the pulp flow control valve, the aeration device, the pulp stirring device, the froth scraping device and the reagent adding device according to the corresponding correction values, so that the pulp flotation related parameters reach the value corresponding to the estimated item Kiv.

3. The data analysis based automatic reagent addition control system for a flotation process according to claim 1, wherein, The server further comprises: The working information of the reagent adding device, the aeration device, the pulp flow control valve, the pulp stirring device and the froth scraping device is collected by the collection module; wherein the working information includes the operating parameters and environmental parameters of the corresponding device; The working information of the corresponding device is analyzed by the maintenance module to obtain the adjustment value of the corresponding device, and when the adjustment value of the corresponding device is not in the set threshold value corresponding to the corresponding device, the maintenance signaling corresponding to the corresponding device is generated and sent to the personnel calling module.

4. The data analysis based automatic reagent addition control system for a flotation process according to claim 3, characterized in that, The server further comprises a personnel allocation module; When receiving the maintenance signaling or the variable adjustment signal, the personnel allocation module sends an information acquisition instruction to the intelligent terminal of the adjustment personnel to obtain the personal information of the adjustment personnel; the personal information of the idle adjustment personnel is processed to obtain the personal value of the adjustment personnel; the corresponding adjustment personnel is obtained by the personnel calling operation according to the personal value; the adjustment personnel receives the variable adjustment signal, the maintenance signaling and the corresponding device number and position through the intelligent terminal, and then adjusts and controls the corresponding device.

5. A data analysis based automatic reagent addition control system for a flotation process according to claim 4, characterized in that, The specific process of the personnel calling operation is as follows: the personal values of all adjustment personnel are obtained, and the three adjustment personnel with the largest personal values are marked as preferred personnel; the maintenance signaling or the variable adjustment signal is sent to the preferred personnel to obtain the corresponding instruction to go, and if the preferred personnel feedbacks the confirmation of the instruction to go, the feedback time of all personnel is obtained, the preferred personnel corresponding to the minimum feedback time is selected as the adjustment personnel; if the preferred personnel does not feedback or denies the feedback instruction within the specified feedback time, three adjustment personnel are selected from the three adjustment personnel except the above-mentioned three adjustment personnel according to the size from large to small, and the three adjustment personnel are marked as preferred personnel; the above-mentioned process is repeated until the adjustment personnel is generated, and the repetition process is stopped.

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