A double-flow cloud optimization floating dosing control method and system

Abstract

The present application relates to a kind of double-flow type cloud optimization floatation dosing control method and system, belong to mineral processing automation field.The present application includes double-flow type automatic dosing system, double-flow type automatic dosing control method, dosing system cloud optimization system, dosing system cloud optimization method.Double-flow type automatic dosing system includes control host system, dosing control device;Double-flow type automatic dosing control method includes weighing type dosing flow detection method and coarse-precision double-flow electromagnetic valve type dosing control method;Dosing system cloud optimization system includes foam camera, image processing host, network connection equipment and cloud server;Dosing system cloud optimization method includes cloud dosing system self-optimization method and cloud artificial expert collaborative work method.The present application can realize the accurate control of dosing amount and adapt to the change of reagent and environmental temperature, can automatically optimize dosing system according to the floatation situation, and has positive effect to stabilize and improve floatation process index.

Description

Technical Field

[0001] The present invention relates to a weighing dual-flow cloud-based optimized flotation dosing control method and system, belonging to the technical field of mineral processing automation. Background Art

[0002] Flotation is the most widely used separation method in the mineral processing industry. The accuracy of flotation dosing and the rationality of the dosing system are crucial to the success of flotation production. Excessive dosing not only wastes reagents and increases production costs, but also worsens the flotation environment and reduces flotation performance. Excessive dosing can lead to insufficient interaction between the mineral and the reagent, also lowering flotation performance. Therefore, accurate dosing and a rational dosing system are prerequisites for efficient flotation production.

[0003] The reagents added during flotation production require reasonable dosing values ​​(collectively referred to as the dosing system) based on actual conditions or changes in ore properties, and accurate dosing must be performed according to the dosing system. The control requirements for dosing in the flotation process are primarily manifested in two aspects: (a) precise control of the dosing amount according to the set values; and (b) reasonable modification of the dosing system based on actual flotation production conditions. Traditional dosing control systems, typically solenoid valve or metering pump types, primarily control the dosing amount by controlling the solenoid valve's dosing time and the metering pump's speed. Control accuracy is easily affected by factors such as changes in the physicochemical properties of the reagent solution, ambient temperature, and component wear. Furthermore, current dosing control systems mostly output the dosing amount according to the set values. When ore properties change, on-site workers often have to modify the flotation dosing system. Automatic optimization of the dosing system through the internet or cloud computing is not possible, nor is timely assistance from remote human experts available via the internet.

[0004] The applicant of the present invention has disclosed a patented technology, named A method and device for measuring and controlling the amount of liquid medicine used in mineral processing, with patent number ZL202011224939.8. Its technical solution is: measuring the weight of the liquid medicine by a force sensor, and controlling the output of the liquid medicine by an electromagnetic valve switch. Its control target is mainly the precise control of a specific liquid medicine. This technology still has some shortcomings, mainly manifested in: 1) Only one solenoid valve is used for dosing at the dosing point, and the output flow of the dosing solenoid valve cannot be changed according to control needs. When the dosing is nearing the end, it cannot be changed to a small flow dosing, resulting in certain errors; 2) A dosing box is used to dosing medicine at multiple dosing points in a time-sharing manner, and there is not much room for adjustment. If the solenoid valve flow rate is too small, the dosing of multiple dosing points cannot be taken into account. If the dosing solenoid valve flow rate is too large, the dosing amount error will be large; 3) There is no liquid medicine filtration and filtered liquid caching function, which is easy to cause The mixing of impurities causes the dosing solenoid valve to malfunction, which can easily lead to dosing stop due to malfunction of the previous dosing device; 4) The fluidity of the frother used in flotation is greatly affected by temperature changes, and even normal dosing cannot be achieved when the temperature is very low. This technology does not provide a heating function for the reagents that are easily affected by temperature changes; 5) This technology requires on-site workers to set and modify the dosing system, and does not provide a remote optimization function for the dosing system. It cannot automatically optimize the dosing system according to changes in the properties of the flotation ore; 6) This technology also does not provide remote manual experts to provide assistance in optimizing the on-site dosing system.

[0005] Flotation dosing control is a complex process. It not only requires ensuring the accuracy of dosing, but also requires timely optimization of the dosing system according to changes in ore properties, so as to ensure stable and efficient operation of flotation production. Summary of the Invention

[0006] In order to overcome the shortcomings of existing flotation dosing control methods and control systems, further improve the accuracy, rationality, and adaptability of flotation dosing, and realize intelligent optimization of the dosing system, the present invention provides a weighing dual-flow cloud-based optimized flotation dosing control method and system, which has a positive effect on improving the economic indicators of flotation production process and reducing reagent consumption.

[0007] The technical solution of the present invention is: a weighing dual-flow cloud-based optimization flotation dosing control system, including a weighing dual-flow automatic dosing system and a dosing system cloud-based optimization system;

[0008] The weighing dual-flow automatic dosing system is used to automatically adapt to the dosing requirements of various physical and chemical properties of the medicine, and accurately control the dosing amount of each dosing point according to the dosing system;

[0009] The dosing system cloud optimization system is responsible for automatically optimizing the flotation dosing system according to the changes in ore properties and actual flotation conditions;

[0010] The dosing system cloud optimization system includes a foam camera, an image processing host, a network connection device and a cloud server. The foam camera is used to obtain on-site flotation foam images, and the image processing host is used to perform feature image analysis and feature image extraction, and transmit the feature images to the cloud server.

[0011] The cloud server uses a self-optimization method for cloud-based dosing system to analyze and intelligently calculate the characteristic images to obtain an optimized dosing system.

[0012] Manual experts remotely analyze the characteristic foam images and review and confirm the dosing system obtained by the cloud-based manual expert collaborative working method. The dosing system that needs to be confirmed by manual experts can be transmitted to the dosing control host system of the weighing dual-flow automatic dosing system for execution; the cloud-based dosing system self-optimization method sets the boundary conditions of the dosing system. When the dosing system is within the boundary range, the dosing system output by the cloud-based dosing system self-optimization method is directly transmitted to the dosing control host system for execution.

[0013] As a further solution of the present invention, the weighing dual-flow automatic dosing system includes a dosing control host system and a dosing control device; the dosing control host system is used to control and manage the weighing dual-flow automatic dosing system; the dosing control device is used to control the replenishment, filtration, storage, heating, liquid level detection, weight detection, drug output, and drug delivery of the drug solution.

[0014] As a further solution of the present invention, the drug dosing control host system comprises a drug dosing control host (1) and a peripheral circuit, wherein the peripheral circuit comprises a switching power supply, a drive circuit module, a switching electrical appliance and its circuit;

[0015] The dosing control device includes: a medicine storage box replenishment solenoid valve 2, a filter 3, a medicine storage box 4, a medicine storage box liquid level tube 5, a pressure transmitter 6, a frame 7, a dosing output stop valve 8, a coarse control solenoid valve 9, a fine control solenoid valve 10, a dosing flow regulator 11, a medicine receiving funnel 12, a dosing flushing water hand valve 13, a dosing flushing water main solenoid valve 14, a force sensor 15, a signal transmitter 16, a dosing box 17, a dosing replenishment solenoid valve 18, a dosing replenishment stop valve 19, a medicine storage box electric heating plate 22, and a medicine storage box thermal resistor 23;

[0016] The dosing control device is an integrated design; the connection method of the various components of the dosing control device is:

[0017] The medicine storage box medicine replenishment solenoid valve 2 is installed above the filter 3, and the filter 3 is connected to the medicine storage box 4 below. The medicine storage box electric heating plate 22 and the medicine storage box thermal resistor 23 are respectively installed below and in front of the medicine storage box 4. The medicine storage box 4 is installed on the frame 7; the pressure transmitter 6 and the medicine storage box liquid level tube 5 are installed in front of the medicine storage box 4;

[0018] A dosing supplement stop valve 19 is installed on the bottom side of the rear of the medicine storage box 4. The dosing supplement stop valve 19 is connected to the dosing supplement solenoid valve 18. The output end of the pipe of the dosing supplement solenoid valve 18 is fixed above the dosing box 17; a dosing output stop valve 8 is installed on the pipe below the front of the dosing box 17, and a coarse control solenoid valve 9 and a fine control solenoid valve 10 are installed on the pipe with the dosing output stop valve 8. The outlets of the coarse control solenoid valve 9 and the fine control solenoid valve 10 are respectively installed with a dosing flow regulator 11, and a medicine receiving funnel 12 is installed below the outlet of the dosing flow regulator 11; there are several dosing boxes 17, and a force sensor is installed under each dosing box 17 15, the force sensor 15 is connected to the signal transmitter 16; the dosing flushing water main solenoid valve 14 is connected to multiple dosing flushing water hand valves 13, the dosing flushing water hand valves 13 are installed on the flushing water pipeline, and the flushing water pipeline outlet is installed above the medicine receiving funnel 12; the medicine storage box replenishment solenoid valve 2, the medicine storage box liquid level tube 5, the pressure transmitter 6, the dosing output stop valve 8, the coarse control solenoid valve 9, the fine control solenoid valve 10, the dosing flushing water hand valve 13, the dosing flushing water main solenoid valve 14, the signal transmitter 16, the dosing replenishment solenoid valve 18, the dosing replenishment stop valve 19, the medicine storage box electric heating plate 22, and the medicine storage box thermal resistor 23 are all connected to the dosing control host 1;

[0019] The functions of the components of the dosing control device are as follows: the medicine storage box replenishment solenoid valve 2, the filter 3, the medicine storage box 4, the medicine storage box electric heating plate 22, and the medicine storage box thermal resistor 23 are respectively used for replenishing, filtering, storing, heating, and measuring the liquid; the medicine storage box liquid level tube 5 and the pressure transmitter 6 are respectively used for indicating and detecting the liquid level of the medicine storage box 4; the dosing replenishment solenoid valve 18 and the dosing replenishment stop valve 19 are used for replenishing the liquid in the dosing box 17 and switching the pipeline; the coarse control solenoid valve 9 and the fine control solenoid valve 10 are respectively used for replenishing the liquid in the dosing box 17 and switching the pipeline; The valve 10, the dosing output stop valve 8, the dosing flow regulator 11, and the dosing funnel 12 are respectively used for large-flow dosing, small-flow dosing, dosing flow switch, liquid medicine flow regulation and liquid medicine collection; the force sensor 15 and the signal transmitter 16 are respectively used for weight measurement of the dosing box 17 and amplification and conditioning of the force sensor signal; the dosing flushing water manual valve 13 and the dosing flushing water main solenoid valve 14 are respectively used for regulating the flushing water flow of each dosing solenoid valve and controlling the main flushing water switch.

[0020] As a further solution of the present invention, the dosing flow regulator 11 includes: a dosing flow regulator connector 24, an adjusting screw 25, an adjusting pipe seat 26, and an elastic hose 27; the dosing flow regulator 11 is connected to the output ends of the coarse control solenoid valve 9 and the fine control solenoid valve 10 respectively through the dosing flow regulator connector 24, and the other end of the dosing flow regulator connector 24 is connected to the elastic hose 27, the elastic hose 27 is installed in the adjusting pipe seat 26, and the adjusting screw 25 is installed in the middle of the adjusting pipe seat 26; the output flow rate of the drug solution of the coarse control solenoid valve 9 and the fine control solenoid valve 10 is adjusted by operating the adjusting screw 25.

[0021] As a further solution of the present invention, the image processing host 20 of the cloud-based optimization system for the dosing system communicates with the cloud server, the dosing control host 1, and the foam camera 21 respectively through a network connection device; the foam camera 21 collects the foam images of the roughing, fine selection and scanning of the flotation process in real time and transmits the images to the image processing host 20, and the image processing host 20 analyzes the foam images, extracts characteristic foam images with strong correlation with flotation, and transmits the characteristic foam images together with the dosing system data provided by the dosing control host 1 to the cloud server.

[0022] The present invention also provides a weighing dual-flow cloud-based optimized flotation dosing control method, which includes a weighing dual-flow automatic dosing control method and a dosing system cloud-based optimization method;

[0023] The weighing dual-flow automatic dosing control method can accurately control the dosing amount of each dosing point according to the dosing system;

[0024] The cloud-based optimization method for the dosing system includes a cloud-based self-optimization method for the dosing system and a cloud-based human expert collaborative working method;

[0025] The cloud-based dosing system self-optimization method automatically analyzes and optimizes the characteristic image to obtain an optimized dosing system;

[0026] The cloud-based human expert collaborative working method optimizes the on-site dosing system through remote assistance when the human expert is not on-site, specifically including the following three situations: (1) the human expert independently proposes the dosing system; (2) the human expert reviews and confirms the dosing system output by the cloud-based dosing system self-optimization method; (3) after the human expert sets the boundary conditions, when the dosing system obtained by the cloud-based dosing system self-optimization method does not exceed the boundary conditions, it is directly adopted.

[0027] As a further solution of the present invention, the weighing dual-flow automatic dosing control method includes:

[0028] Step S101: calibration of the dosing tank weighing device; the dosing control host system provides a calibration function for all dosing tank weighing devices, which does not require liquid medicine and only needs a standard weight; the calibration of the dosing tank weighing device is completed through the "zero calibration", "calibration", "calculation" and "save" operations by opening the dosing tank weighing device calibration interface to select the dosing tank weighing device to be calibrated;

[0029] Step S102: control of the dosing amount of each dosing point by using a periodic dosing control method; all dosing points of the dosing control system are controlled by using a periodic dosing control method, and dosing is performed once in each dosing control period, the control system automatically performs accurate dosing according to the dosing set value, the dosing control period ranges from 30s to 90s, and is set according to actual needs; each dosing control period is divided into a dosing time and a replenishment time, the dosing time is about three fourths of the dosing control period, and the replenishment time is about one fourth of the dosing control period.

[0030] Step S103: changing the caliber of the elastic hose at the outlet of the coarse control electromagnetic valve by using the dosing flow regulator to adjust the maximum flow of the coarse control electromagnetic valve to the range required by the dosing control; the caliber of the elastic hose at the outlet of the coarse control electromagnetic valve is changed by adjusting the adjusting screw 25 of the dosing flow regulator 11, the maximum flow of the coarse control electromagnetic valve 9 of each dosing point is adjusted to the required value, and the maximum flow is about one third of the dosing control period, and the output of the liquid medicine of the coarse control electromagnetic valve is about the average value of the upper limit and the lower limit of the dosing set value;

[0031] Step S104: changing the caliber of the elastic hose at the outlet of the fine control electromagnetic valve by using the dosing flow regulator to adjust the maximum flow of the fine control electromagnetic valve to the range required by the dosing control; the caliber of the elastic hose at the outlet of the fine control electromagnetic valve is changed by adjusting the adjusting screw 25 of the dosing flow regulator 11, the maximum flow of the fine control electromagnetic valve 10 is adjusted to the required value, and the maximum flow is about one tenth of the dosing control period, and the output of the liquid medicine of the fine control electromagnetic valve is about one tenth of the average value of the upper limit and the lower limit of the dosing set value;

[0032] Step S105: only using the fine control electromagnetic valve to control the dosing amount when the flow set value is very small; only using the fine control electromagnetic valve 10 to control the dosing amount when the flow set value of the dosing point is less than one tenth of the average value of the upper limit and the lower limit of the dosing set value;

[0033] Step S106: measuring the weight of the dosing tank by using the force sensor, and calculating the dosing amount by using the change of the weight of the dosing tank in the dosing period; the weight of the dosing tank 17 is measured by using the force sensor 15, the force sensor signal is amplified and processed by the signal transmitter 16, converted into a current or voltage signal and transmitted to the dosing control host 1 to calculate the weight of the dosing tank 17, the dosing amount is calculated by using the change of the weight of the dosing tank in the dosing control period, and the mathematical model for calculating the dosing amount is:

[0034] W=K W (N0-N)

[0035] Where W is the dosage of this dosing control cycle, K W is the weight coefficient, N0 is the weight A / D conversion value of the dosing box 17 before dosing in this dosing control cycle, and N is the current weight A / D conversion value of the dosing box 17;

[0036] Step S107: The dosage is controlled to be about 95% of the given value by switching the coarse control solenoid valve. The control system automatically opens the coarse control solenoid valve 9 to add the drug. When the measured dosage reaches about 85% of the given value, the pulse-type coarse control solenoid valve 9 is switched to open the solenoid valve for a short time to add the drug, and close the solenoid valve for a short time to perform static measurement. This process is repeated until the dosage is controlled to be about 95% of the given value.

[0037] Step S108: The dosage is controlled within the required error range by switching the precision control solenoid valve. The system enters the precision control solenoid valve switching control stage. The control system automatically opens the precision control solenoid valve 10 to perform dosage. When the dosage reaches 98.5% of the given value, intermittent on-off control is adopted to perform dosage. The solenoid valve is briefly opened for dosage and then briefly closed for static measurement. This process is repeated until the dosage accuracy meets the requirements.

[0038] Step S109: During the replenishment time, when the weight of the dosing box is lower than the lower limit, replenishment of the dosing box is started; when the weight of the dosing box is higher than the upper limit, replenishment of the dosing box is stopped. During the replenishment time of each dosing control cycle, when the weight of the dosing box 17 is lower than the lower limit, replenishment of the dosing box is started; when the weight of the dosing box 17 is higher than the upper limit, replenishment of the dosing box is stopped.

[0039] Step S110: Detecting the liquid level of the medicine storage tank. When the liquid level is lower than the lower limit, the medicine storage tank medicine replenishment solenoid valve is opened. When the liquid level is higher than the upper limit, the medicine storage tank medicine replenishment solenoid valve is closed. A pressure transmitter 15 is used to detect the liquid level of the medicine storage tank 4 in real time. When the liquid level of the medicine storage tank 4 is lower than the lower limit set value, the medicine storage tank medicine replenishment solenoid valve 2 is automatically opened to replenish medicine. When the liquid level of the medicine storage tank 4 is higher than the upper limit set value, the medicine storage tank medicine replenishment solenoid valve 2 is automatically closed to stop replenishing medicine.

[0040] Step S111: Detecting the temperature of the medicine liquid in the medicine storage box and controlling heating as needed; whether to perform the temperature detection and heating control of the medicine liquid in the medicine storage box is selected according to actual needs; the method for detecting and controlling the temperature of the medicine liquid in the medicine storage box is as follows: using the medicine storage box thermal resistor 23 to detect the temperature of the medicine liquid in the medicine storage box 4, when the temperature is lower than the lower limit set value, automatically turning on the medicine storage box electric heating plate 22 for heating; when the temperature is higher than the upper limit set value, turning off the power supply of the medicine storage box electric heating plate 22, thereby maintaining the medicine liquid temperature between the upper and lower limits at low temperatures;

[0041] Step S112: Regulate the flow rate of the dosing flushing water and control the switch as needed; select whether flushing water is needed according to actual conditions; the method of regulating the flow rate of the dosing flushing water and controlling the switch is: adjust the flushing water flow rate required by each dosing point through the dosing flushing water manual valve 13, and then control the switch of the flushing water of each dosing point through the dosing flushing water main solenoid valve 14, automatically open the flushing water when dosing control is performed, and automatically close the flushing water when dosing control is stopped.

[0042] As a further solution of the present invention, the working steps of the cloud-based optimization method for the dosing system are as follows:

[0043] Step S201: Flotation foam image acquisition, characteristic foam image extraction, and cloud-based transmission of the characteristic foam image and dosing system data. Specifically, the process includes: using a foam camera 21 to capture real-time foam images of the flotation cells during roughing, finishing, and sweeping of the flotation process, and transmitting the foam images to an image processing host 20; the image processing host 20 analyzing the foam images to extract characteristic foam images closely related to flotation; the image processing host 20 obtaining current dosing system data from the dosing control host 1; transmitting the current dosing system data along with the characteristic foam image to a cloud server for processing using a cloud-based dosing system self-optimization method and a cloud-based human expert collaborative working method.

[0044] Step S202: Optimize the dosing system using a cloud-based dosing system self-optimization method. The cloud-based dosing system self-optimization method analyzes the characteristic foam image and dosing system data, and optimizes the dosing system using the following intelligent algorithm. The technical solution for optimizing the dosing system is:

[0045] The state space S of the system t Screening was performed to obtain the multi-dimensional characteristics of flotation foam and the composition of the sequential dosing system:

[0046] S t ={F opt (t),Q t}

[0047] Where, F opt (t) is the set of flotation foam features that have been screened at time t; in particular, the number of features included in the set is not necessarily fixed and depends on the screening results; Q t represents the dosing system at the current time t;

[0048] Action space A t It represents the change of the dosing system adjustment strategy, which includes three actions: increase the given value, decrease the given value, or keep it unchanged. The action represents the adjustment amount of the dosing system. The adjustment amount of the dosing system is set to ΔQ. The three actions are expressed as follows:

[0049] Q t+1 =Q t +ΔQ,Q t+1 =Q t -ΔQ,Q t+1 =Q t

[0050] According to the current state S t Select an action and calculate the dosing system adjustment ΔQ through cloud-based decision-making to optimize the flotation dosing system.

[0051] Step S203: Review, modify, confirm or re-establish the dosing system through the cloud-based human expert collaborative working method; the cloud-based human expert collaborative working method provides the function of reviewing, modifying, confirming or re-setting the dosing system output by the cloud-based dosing system self-optimization method and the dosing system used on site, so as to ensure the safety and efficiency of flotation production operation and promptly resolve unreasonable dosing system problems arising in the production process.

[0052] As a further solution of the present invention, the image processing host 20 analyzes the foam image and extracts the characteristic foam image closely related to flotation. The technical solution is:

[0053] 1) The basic factors for the image processing host 20 to extract the characteristic foam image are: foam size, foam quantity, foam shape roundness, foam color, foam thickness and foam texture. The characteristic vector F is constructed as follows:

[0054] F={F1,F2,F3,F4,F5,F6}

[0055] Where F1-F6 represent foam size, foam quantity, foam shape (roundness), foam color, foam thickness, and foam texture, respectively;

[0056] 2) Using multi-scale analysis, perform wavelet transform on the foam image I(x,y) to obtain the wavelet coefficient ψ a,b (x, y), after multi-scale analysis, six key foam characteristics are extracted; the wavelet transform multi-scale analysis formula is:

[0057]

[0058] Where a is the scale factor, which is used to control the width of the wavelet; b is the translation factor, which is used to control the position of the wavelet;

[0059] The six extracted foam characteristics were evaluated by the following steps:

[0060] Step 1: Divide the foam image into fixed-size image blocks. Each image block is mapped to dimension D through linear embedding. The position encoding PE is added to the embedded features. The position encoding formula is as follows:

[0061]

[0062] Among them, pos represents the position of the block, i represents the dimension index;

[0063] Step 2: By calculating self-attention, we focus on the important feature areas in the image. After processing through multiple layers of self-attention and feedforward neural networks, the output feature vector can capture the dependency relationship between foam features. The calculation formula for self-attention is:

[0064]

[0065] For foam feature evaluation and screening, the system generates the importance score P of each foam feature by linearly mapping the output feature vector. i , set the threshold δ, when a certain importance score P i When it is less than the threshold δ, it is considered that the contribution of this feature to the flotation result is not obvious and is eliminated. The foam feature after screening is represented by the feature vector F opt (t) is expressed as:

[0066] F opt (t)={F i |F i ∈F,P i ≥δ}

[0067] Where, F opt (t) is the filtered feature vector, which contains all the features that satisfy P at the current time t. i ≥δ characteristics.

[0068] As a further solution of the present invention, the cloud-based human expert collaborative working method includes:

[0069] 1) When on-site flotation production is abnormal due to changes in ore properties, improper operation, etc., cloud-based human experts can access the system through the Internet from anywhere to collaborate with cloud-based human experts. By extracting the current characteristic foam image, dosing system data, and current flotation production index data, a new dosing system is developed and tracked and optimized until flotation production returns to normal.

[0070] 2) When there are major changes to the dosing system provided by the cloud-based dosing system self-optimization method, cloud-based experts will review, modify, and confirm it before it can be provided for on-site production execution;

[0071] 3) When the source and properties of the flotation ore change, cloud-based human experts will provide a new dosing system;

[0072] 4) Cloud-based human experts can provide on-site assistance in optimizing the dosing system at any location and at any time.

[0073] The beneficial effects of the present invention are:

[0074] 1. The present invention overcomes the problems of existing dosing control systems and methods that are easily affected by factors such as pressure changes, temperature changes, impurities in the liquid medicine, scaling in the pipeline, and wear of components, and has a wider range of applications and stronger adaptability;

[0075] 2. Each dosing point of the present invention is independently controlled, which is suitable for dosing control of large flow liquid medicine, as well as small flow or micro flow liquid medicine; it is suitable for low viscosity liquid medicine, as well as medium and high viscosity liquid medicine;

[0076] 3. The present invention automatically detects the weight of each dosing box and calculates the output of each dosing point according to the change in the weight of the dosing box. The detection component does not contact the liquid medicine. The detection and control are carried out in a relatively independent environment, which has higher control accuracy and better stability.

[0077] 4. The present invention uses a standard weight to calibrate all the weighing devices of the medicine adding box, without the need to use liquid medicine for calibration, making calibration faster, more accurate and convenient;

[0078] 5. The present invention provides a cloud-based self-optimization method for the dosing system and a cloud-based human expert collaborative working method, which can realize the functions of automatic and manual optimization of the dosing system. Human experts can access the cloud through the Internet at any time and any place to solve problems raised by on-site flotation production, thereby achieving high efficiency and real-time flotation production;

[0079] 6. In the present invention, when the source of the ore being flotated and the properties of the ore change, a new dosing system can be provided by cloud-based manual experts. The cloud-based manual experts can be experts from the company or experts from outside the company. They can solve problems with the on-site dosing system and provide assistance in optimizing the on-site dosing system at any place and at any time. This can greatly improve the accuracy, efficiency, real-time performance and speed of the on-site dosing system optimization, and greatly save the cost of manual expert assistance. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 It is a structural diagram of the control system of the present invention;

[0081] Figure 2 It is a control system connection diagram of the present invention;

[0082] Figure 3 is the dosing control flow chart of the present application;

[0083] Figure 4 is the front view of the dosing control device of the present application;

[0084] Figure 5 is the structural diagram of the dosing flow regulator of the present application;

[0085] Figure 6 is a set of feature froth images of the present application, Figure 6 (a) represents the roughing feature froth image, Figure 6 (b) represents the cleaning feature froth image, Figure 6 (c) represents the scavenging feature froth image.

[0086] The various reference numbers in the figure are as follows: 1 - dosing control host, 2 - reagent tank reagent supplement electromagnetic valve, 3 - filter, 4 - reagent tank, 5 - reagent tank liquid level pipe, 6 - pressure transmitter, 7 - rack, 8 - dosing output stop valve, 9 - roughing control electromagnetic valve, 10 - cleaning control electromagnetic valve, 11 - dosing flow regulator, 12 - reagent receiving hopper, 13 - dosing rinse water hand valve, 14 - dosing rinse water total electromagnetic valve, 15 - force sensor, 16 - signal transmitter, 17 - dosing tank, 18 - dosing supplement electromagnetic valve, 19 - dosing supplement stop valve, 20 - image processing host, 21 - froth camera, 22 - reagent tank electric heating plate, 23 - reagent tank thermal resistance, 24 - dosing flow regulator joint, 25 - adjusting screw, 26 - adjusting pipe seat, 27 - elastic hose. DETAILED DESCRIPTION

[0087] Example 1: A certain chalcopyrite concentrator uses a flotation production process, and the ore processing capacity is 2500 t / d. The added reagents are ethyl xanthate, copper sulfate, sodium sulfite, and pine oil. Ethyl xanthate, copper sulfate, and sodium sulfite need to be prepared into reagent liquor with a concentration of 5% by adding water, and pine oil is directly added. The temperature of pine oil is required to be no less than 6℃. The basic dosing system is shown in Table 1:

[0088] Table 1 Basic dosing system

[0089]

[0090] Note: The data in Table 1 is the mass of the reagent liquor.

[0091] The basic dosing system provides the given value of the amount of each reagent at each dosing point under normal circumstances. Since the properties of the ore often change, the dosing system needs to be reasonably adjusted in a timely manner according to the actual flotation conditions to optimize the flotation reagent conditions and stabilize and improve the flotation indicators. The fluctuation of the amount of reagent at each dosing point is about ±15% of the basic dosing system.

[0092] According to the ore properties, basic dosing system and control requirements of the embodiment, the application provides a weighing double-flow cloud optimization flotation dosing control method and system, which can improve the accuracy, rationality, adaptability and intelligent control level of dosing, and has a positive effect on improving the economic indicators of flotation production process and reducing the consumption of reagents.

[0093] As shown in Figure 1-Figure 5 The application first provides a weighing double-flow cloud optimization flotation dosing control system, which comprises a weighing double-flow automatic dosing system and a dosing system cloud optimization system.

[0094] The weighing double-flow automatic dosing system is used for automatically adapting to the dosing requirements of reagents with various physical and chemical properties and accurately controlling the dosing amount of each dosing point according to the dosing system.

[0095] The dosing system cloud optimization system is used for automatically dynamically optimizing the flotation dosing system according to the changes of ore properties and actual flotation conditions.

[0096] The dosing system cloud optimization system comprises a foam camera, an image processing host, network connection equipment and a cloud server, the foam camera is used for acquiring on-site flotation foam images, the image processing host is used for feature image analysis and feature image extraction, and the feature images are transmitted to the cloud server.

[0097] The cloud server analyzes and intelligently calculates the feature images through a cloud dosing system self-optimization method to obtain an optimized dosing system.

[0098] An artificial expert remotely analyzes the feature foam images through a cloud artificial expert collaborative work method and reviews and confirms the dosing system obtained by the cloud dosing system self-optimization method, and only the dosing system confirmed by the artificial expert can be transmitted to a dosing control host system of the weighing double-flow automatic dosing system for execution; the cloud dosing system self-optimization method is provided with boundary conditions of the dosing system, and when the dosing system is within the boundary range, the dosing system output by the cloud dosing system self-optimization method is directly transmitted to the dosing control host system for execution.

[0099] As a further scheme of the application, the weighing double-flow automatic dosing system comprises a dosing control host system and a dosing control device; the dosing control host system is used for the control and management of the weighing double-flow automatic dosing system; and the dosing control device is used for the control of reagent liquid supplement, filtration, storage, heating, liquid level detection, weight detection, reagent liquid output and reagent liquid transportation.

[0100] The dosing control host system includes a dosing control host 1 and peripheral circuits. The core components of the dosing control host 1 are a programmable logic controller (PLC) and a touch screen computer. The PLC includes one 1214DC / DC / DC CPU module, three 16-point 24VDC DO modules, five 16-bit 4-channel AI modules, and one 12-bit 8-channel AO module. The touch screen computer includes a CPUI5 3320M, 8GB of memory, a 256GB hard drive, and a 17-inch screen. The peripheral circuits include six 100W 24VDC switching power supplies, five drive circuit modules, one 20A 2P circuit breaker, and six 10A 2P circuit breakers. The dosing control host 1 is connected to the medicine storage box replenishment solenoid valve 2, the pressure transmitter 6, the coarse control solenoid valve 9, the fine control solenoid valve 10, the dosing and flushing water main solenoid valve 14, the force sensor 15, the signal transmitter 16, the dosing replenishment solenoid valve 18, the medicine storage box electric heating plate 22, and the medicine storage box thermal resistor 23 through the peripheral circuit;

[0101] The dosing control device includes: a medicine storage box replenishment solenoid valve 2, a filter 3, a medicine storage box 4, a medicine storage box liquid level tube 5, a pressure transmitter 6, a frame 7, a dosing output stop valve 8, a coarse control solenoid valve 9, a fine control solenoid valve 10, a dosing flow regulator 11, a medicine receiving funnel 12, a dosing flushing water hand valve 13, a dosing flushing water main solenoid valve 14, a force sensor 15, a signal transmitter 16, a dosing box 17, a dosing replenishment solenoid valve 18, a dosing replenishment stop valve 19, a medicine storage box electric heating plate 22, and a medicine storage box thermal resistor 23;

[0102] The dosing control device is an integrated design; all components are mounted on the frame 7 to form a whole, and can be combined and used according to actual needs. In this embodiment, there are four kinds of medicines, each of which requires a maximum of four dosing points, so four dosing control devices are required.

[0103] The dosing control device, each dosing control device has the following components, specifications, and quantities: a medicine storage box replenishment solenoid valve 2: caliber DN25, power supply 24VDC, diaphragm type, 1; a filter 3: diameter 150mm, filter screen 80 mesh, material 304 stainless steel, 1; a medicine storage box 4: length * width * height = 800mm * 500mm * 500mm, 1; a pressure transmitter 5: range 0-1000ka, power supply 24VDC, output signal 4-20mA, 1; a medicine storage box liquid level tube 6: height 500mm, diameter 16mm, transparent ABS material, 1; a frame: length * width * height = 900mm * 520mm * 1400mm, 1; a dosing output stop valve 8: caliber DN20, material 304 stainless steel, 4; a coarse control solenoid valve 9: caliber DN20, material 304 stainless steel, 4 pcs; precision control solenoid valve 10: caliber DN20, material 304 stainless steel, 4 pcs; dosing flow regulator 11: 8 pcs; medicine receiving funnel 12: , 4 pcs; dosing flushing water hand valve 13: caliber DN20, material 304 stainless steel, 4 pcs; dosing flushing water main solenoid valve 14: caliber DN25, material 304 stainless steel, 1 pc; force sensor 15: for ethyl xanthate, copper sulfate, sodium sulfite, specification is 20kg, 4 pcs, for pine oil, specification is 10kg, 4 pcs; signal transmitter 16: power supply 24VDC, output signal 4-20mA, 4 pcs; dosing box 17: width * thickness * height = 180mm * 250mm * 300mm, 4 pcs; dosing replenishment solenoid 18: caliber DN25, power supply 24VDC, diaphragm type, 4 pcs; dosing replenishment stop valve 19: caliber DN25, 4 pcs.

[0104] The connection mode of the various components of the dosing control device is as follows:

[0105] The medicine storage box medicine replenishment solenoid valve 2 is installed above the filter 3, and the filter 3 is connected to the medicine storage box 4 below. The medicine storage box electric heating plate 22 and the medicine storage box thermal resistor 23 are respectively installed below and in front of the medicine storage box 4. The medicine storage box 4 is installed on the frame 7; the pressure transmitter 6 and the medicine storage box liquid level tube 5 are installed in front of the medicine storage box 4;

[0106] A dosing supplement stop valve 19 is installed on the bottom side of the rear of the medicine storage box 4. The dosing supplement stop valve 19 is connected to the dosing supplement solenoid valve 18. The output end of the pipe of the dosing supplement solenoid valve 18 is fixed above the dosing box 17; a dosing output stop valve 8 is installed on the pipe below the front of the dosing box 17, and a coarse control solenoid valve 9 and a fine control solenoid valve 10 are installed on the pipe with the dosing output stop valve 8. The outlets of the coarse control solenoid valve 9 and the fine control solenoid valve 10 are respectively installed with a dosing flow regulator 11, and a medicine receiving funnel 12 is installed below the outlet of the dosing flow regulator 11; there are 16 dosing boxes 17, and a force sensor is installed under each dosing box 17 15, the force sensor 15 is connected to the signal transmitter 16; the dosing flushing water main solenoid valve 14 is connected to 16 dosing flushing water hand valves 13, the dosing flushing water hand valves 13 are installed on the flushing water pipeline, and the flushing water pipeline outlet is installed above the medicine receiving funnel 12; the medicine storage box replenishment solenoid valve 2, the medicine storage box liquid level tube 5, the pressure transmitter 6, the dosing output stop valve 8, the coarse control solenoid valve 9, the fine control solenoid valve 10, the dosing flushing water hand valve 13, the dosing flushing water main solenoid valve 14, the signal transmitter 16, the dosing replenishment solenoid valve 18, the dosing replenishment stop valve 19, the medicine storage box electric heating plate 22, and the medicine storage box thermal resistor 23 are all connected to the dosing control host 1;

[0107] The functions of the components of the dosing control device are as follows: the medicine storage box replenishment solenoid valve 2, the filter 3, the medicine storage box 4, the medicine storage box electric heating plate 22, and the medicine storage box thermal resistor 23 are respectively used for replenishing, filtering, storing, heating, and measuring the liquid; the medicine storage box liquid level tube 5 and the pressure transmitter 6 are respectively used for indicating and detecting the liquid level of the medicine storage box 4; the dosing replenishment solenoid valve 18 and the dosing replenishment stop valve 19 are used for replenishing the liquid in the dosing box 17 and switching the pipeline; the coarse control solenoid valve 9 and the fine control solenoid valve 10 are respectively used for replenishing the liquid in the dosing box 17 and switching the pipeline; The valve 10, the dosing output stop valve 8, the dosing flow regulator 11, and the dosing funnel 12 are respectively used for large-flow dosing, small-flow dosing, dosing flow switch, liquid medicine flow regulation and liquid medicine collection; the force sensor 15 and the signal transmitter 16 are respectively used for weight measurement of the dosing box 17 and amplification and conditioning of the force sensor signal; the dosing flushing water manual valve 13 and the dosing flushing water main solenoid valve 14 are respectively used for regulating the flushing water flow of each dosing solenoid valve and controlling the main flushing water switch.

[0108] As a further embodiment of the present invention, the dosing flow regulator 11 includes: a dosing flow regulator connector 24, an adjusting screw 25, an adjusting pipe seat 26, and an elastic hose 27. The dosing flow regulator 11 is connected to the output ends of the coarse control solenoid valve 9 and the fine control solenoid valve 10, respectively, via the dosing flow regulator connector 24. The other end of the dosing flow regulator connector 24 is connected to the elastic hose 27, which is installed within the adjusting pipe seat 26. The adjusting screw 25 is installed in the center of the adjusting pipe seat 26. The output flow rate of the coarse control solenoid valve 9 or the fine control solenoid valve 10 is adjusted by operating the adjusting screw 25. The dosing flow regulator 11 is connected to the output end of the coarse control solenoid valve 9 or the fine control solenoid valve 10 via the dosing flow regulator connector 24. The maximum output flow rate of the coarse control solenoid valve 9 or the fine control solenoid valve 10 is adjusted by operating the inlet and outlet length of the adjusting screw 25 to meet the precise control requirements of different liquid flow rates. By adjusting the dosing flow regulator 11, the dosing solenoid valve of the same specification can meet different dosing flow control needs, which can avoid the problems of a wide variety of dosing solenoid valve spare parts in actual applications, resulting in high spare parts costs, inconvenience in management and maintenance, etc.

[0109] As a further solution of the present invention, the cloud-based optimization system for the dosing system includes a foam camera 21, an image processing host 20, a network connection device and a cloud server; the image processing host 20 communicates with the cloud server, the dosing control host 1 and the foam camera 21 respectively through the network connection device; the foam camera 21 collects the foam images of the roughing, fine selection and scanning of the flotation process in real time and transmits the images to the image processing host 20, the image processing host 20 analyzes the foam images, extracts characteristic foam images with strong correlation with flotation, and transmits the characteristic foam images together with the dosing system data provided by the dosing control host 1 to the cloud server.

[0110] The present invention also provides a weighing dual-flow cloud-based optimized flotation dosing control method, which includes a weighing dual-flow automatic dosing control method and a dosing system cloud-based optimization method;

[0111] The weighing dual-flow automatic dosing control method is responsible for accurately controlling the dosing amount at each dosing point according to the dosing system; the dosing system cloud optimization method is responsible for automatically optimizing the flotation dosing system according to the flotation situation;

[0112] The weighing dual-flow automatic dosing control method includes a weighing dosing flow detection method and a coarse-fine dual-flow solenoid valve dosing control method. This method can ensure that dosing control is not affected by changes in the physical and chemical properties of the drug solution and ambient temperature, and can achieve precise dosing control under various drug solution and environmental conditions.

[0113] The cloud-based optimization method for the medication dosing system of this embodiment includes a cloud-based medication dosing system self-optimization method and a cloud-based human expert collaborative working method; the cloud-based medication dosing system self-optimization method automatically analyzes and optimizes the feature image to obtain an optimized medication dosing system; the cloud-based human expert collaborative working method optimizes the on-site medication dosing system through remote assistance when the human expert is not on-site, specifically including the following three situations: (1) the human expert independently proposes the medication dosing system; (2) the human expert reviews and confirms the medication dosing system output by the cloud-based medication dosing system self-optimization method; (3) after the human expert sets the boundary conditions, when the medication dosing system obtained by the cloud-based medication dosing system self-optimization method does not exceed the boundary conditions, it is directly adopted.

[0114] As a further solution of the present invention, the weighing dual-flow automatic dosing control method includes:

[0115] Step S101: Calibration of the medicine-dosing box weighing device. The medicine-dosing control host system provides a calibration function for all medicine-dosing box weighing devices. Calibration does not require the use of liquid medicine, but only requires a standard weight. The mass of the standard weight is 5kg. Open the calibration interface of the medicine-dosing box weighing device, select the medicine-dosing box weighing device that needs to be calibrated, click the "Zero" button when there is no liquid medicine in the medicine-dosing box, and complete the zeroing operation after a few seconds. Then place the standard weight on the medicine-dosing box, click the "Calibrate" button, and complete the calibration operation after a few seconds. Click the "Calculate" and "Save" buttons to complete the calibration of the medicine-dosing box weighing device. Use the above method to calibrate all medicine-dosing box weighing devices one by one.

[0116] Step S102: Periodic dosing control is used to control the dosage at each dosing point. The dosing control system uses periodic dosing control for all dosing points. Dosing is performed once per dosing control cycle. The control system automatically and accurately doses according to the given dosage value. The dosing control cycle is set to 60 seconds. Each dosing control cycle is divided into two parts: dosing time and replenishment time. The dosing time is 45 seconds, and the replenishment time is 15 seconds.

[0117] Step S103: The diameter of the elastic hose at the coarse control solenoid valve outlet is changed by the dosing flow regulator to adjust the maximum flow rate of the coarse control solenoid valve to the range required for dosing control. By adjusting the adjustment screw 25 of the dosing flow regulator 11 to change the diameter of the elastic hose at the coarse control solenoid valve outlet, the maximum flow rate of the coarse control solenoid valve 9 at each dosing point is adjusted to the required value. The maximum flow rate is such that within one-third of the dosing cycle, the amount of liquid medicine output by the dosing solenoid valve is approximately the average of the upper and lower limits of the set dosing value. The flow rate adjustment values ​​of the coarse control solenoid valve in this embodiment are shown in Table 2:

[0118] Table 2 Coarse control electromagnetic flow debugging value

[0119]

[0120] Step S104: The dosing flow regulator changes the caliber of the elastic hose at the outlet of the precision control solenoid valve to adjust the maximum flow rate of the precision control solenoid valve to the range required for dosing control. By adjusting the adjustment screw 23 of the dosing flow regulator 11 to change the caliber of the elastic hose at the outlet of the precision control solenoid valve, the maximum flow rate of the precision control solenoid valve 10 is adjusted to the desired value. The maximum flow rate is such that within one-quarter of the dosing cycle, the amount of liquid medicine output by the dosing solenoid valve is approximately one-tenth the average of the upper and lower limits of the set dosing value. The flow rate adjustment values ​​of the precision control solenoid valve in this embodiment are shown in Table 3:

[0121] Table 3 Precision control electromagnetic flow debugging values

[0122]

[0123] Step S105: When the flow set value is very small, only the precision control solenoid valve is used to control the dosage. When the flow set value of the dosing point is less than the precision control solenoid flow debugging value in Table 3, in order to ensure control accuracy, only the precision control solenoid valve 10 is used to control the dosage.

[0124] Step S106: The weight of the dosing box is measured by the force sensor, and the dosage is calculated based on the weight change of the dosing box during the dosing cycle. The weight of the dosing box 17 is measured by the force sensor 15, and the force sensor signal is amplified and conditioned by the signal transmitter 16, converted into a current or voltage signal and transmitted to the dosing control host 1 to calculate the weight of the dosing box 17. The dosage is calculated based on the weight change of the dosing box during the dosing control cycle. The mathematical model for the dosage calculation is:

[0125] W=K W (N0-N)

[0126] Where W is the dosage of this dosing control cycle, K W is the weight coefficient, N0 is the weight computer A / D conversion value of the dosing box 17 before dosing in this dosing control cycle, and N is the weight computer A / D conversion value of the current dosing box 17.

[0127] The A / D conversion values ​​N0 and N are determined by the actual weight of the drug solution in the drug adding tank. In this embodiment, the range of N0 and N is 8000 to 60000. W It is determined by the actual conditions of the sensors, signal amplification circuits, mechanical structures, etc. of each weighing system. In this embodiment, K W The range is 0.192 to 0.557.

[0128] Step S107: The dosage is controlled to approximately 95% of the given value by switching the coarse control solenoid valve. If the system selects the coarse control solenoid valve 9 for dosage, the system automatically opens the coarse control solenoid valve 9 for dosage. Due to the large reverse force during dosage, when the dosage measurement reaches approximately 85% of the given value, the coarse control solenoid valve 9 is switched to pulse switching, briefly opening the solenoid valve for dosage and briefly closing the solenoid valve for static measurement. This cycle is repeated until the dosage is controlled to approximately 95% of the given value.

[0129] Step S108: The dosage is controlled within the required error range by switching the precision-controlled solenoid valve. The control system enters the precision-controlled solenoid valve switching control phase, where it automatically opens the precision-controlled solenoid valve 10 to perform dosage. Because the output flow of the precise solenoid valve 10 is very small, the dosing tank detection device performs measurements in a nearly static state, significantly improving detection accuracy. When the dosage reaches 98.5% of the given value, intermittent on-off control is used, briefly opening the solenoid valve for dosage and briefly closing it for static measurement. This cycle repeats until the dosage accuracy meets the requirements.

[0130] Step S109: During the replenishment time, when the weight of the dosing box falls below the lower limit, replenishment is initiated; when the weight exceeds the upper limit, replenishment is stopped. During the replenishment time of each dosing control cycle, the system automatically replenishes the dosing box 17 based on its weight. When the weight of the dosing box 17 falls below the lower limit, replenishment is initiated; when the weight exceeds the upper limit, replenishment is stopped. In this embodiment, the dosing boxes for ethyl xanthate, copper sulfate, and sodium sulfite have an upper weight limit of 14 kg and a lower weight limit of 7 kg; the pine oil dosing box has an upper weight limit of 7 kg and a lower weight limit of 4 kg.

[0131] Step S110: Detecting the liquid level in the medicine storage tank. When the liquid level falls below the lower limit, the medicine storage tank replenishment solenoid valve is opened. When the liquid level rises above the upper limit, the medicine storage tank replenishment solenoid valve is closed. A pressure transmitter 15 is used to monitor the liquid level in the medicine storage tank 4 in real time. When the liquid level in the medicine storage tank 4 falls below the lower limit, the medicine storage tank replenishment solenoid valve 2 is automatically opened to replenish the medicine. When the liquid level in the medicine storage tank 4 rises above the upper limit, the medicine storage tank replenishment solenoid valve 2 is automatically closed to stop replenishing the medicine. In this embodiment, the upper limit of the medicine storage tank liquid level is set to 400 mm, and the lower limit is set to 200 mm.

[0132] Step S111: Temperature detection and heating control of the medicine storage tank liquid are performed as needed. The method for temperature detection and heating control of the medicine storage tank liquid is as follows: the medicine storage tank thermal resistor 23 is used to detect the temperature of the medicine storage tank liquid 4. When the temperature is below 6°C, the medicine storage tank electric heating plate 22 is automatically turned on for heating. When the temperature is above 8°C, the power supply of the medicine storage tank electric heating plate 22 is turned off, thereby maintaining the medicine liquid temperature between 6°C and 8°C under low temperature conditions.

[0133] Step S112: Regulate the flow rate of the dosing flushing water and control its on / off status as needed. In this embodiment, flushing water is used for pine oil, all liquid chemicals at dosing point 3#, and all liquid chemicals at dosing point 4#. The dosing flushing water flow rate regulation and on / off control method is as follows: the dosing flushing water manual valve 13 adjusts the flushing water flow rate required for each dosing point, and then the dosing flushing water master solenoid valve 14 controls the on / off status of each dosing point's flushing water. The flushing water is turned on when dosing control is in effect and turned off when dosing control is stopped.

[0134] The dosing schedule cloud optimization system includes the following devices and their models: an image processing host 20 (model NVIDIA Jetson Nano, with a basic configuration of a quad-core ARM Cortex-A57 CPU, 1.43GHz, an NVIDIA Maxwell GPU, 4GB LPDDR4 memory, and a Gigabit Ethernet network interface); three Basler acA2440-75um foam cameras 21, one installed in each of the roughing, finishing, and sweeping flotation cells; a foam camera 21 with a resolution of 2448×2048 and a maximum frame rate of 75 frames per second; and one cloud connection network module with a 100-1000M adaptive bandwidth. A technical solution for the dosing schedule cloud optimization system is as follows: the foam cameras 21 capture flotation foam images in real time and transmit them to the image processing host 20. The image processing host 20 is connected to a cloud server via a network connection device and directly communicates with the dosing control host 1. The foam camera 21 collects the foam images of the roughing, fine and scanning of the flotation process in real time and transmits the images to the image processing host 20. The image processing host 20 analyzes the foam images, extracts the characteristic foam images with strong correlation with flotation, and transmits the characteristic foam images together with the dosing system data provided by the dosing control host 1 to the cloud server.

[0135] As a further solution of the present invention, the working steps of the cloud-based optimization method for the dosing system are as follows:

[0136] Step S201: flotation foam image acquisition, characteristic foam image extraction, and cloud transmission of characteristic foam images and dosing system data; specifically, the foam camera 21 acquires real-time foam images of the flotation tanks of the roughing, fine and sweeping flotation process, and transmits the foam images to the image processing host 20; the image processing host 20 analyzes the foam images and extracts characteristic foam images closely related to flotation; the image processing host 20 obtains the current dosing system data from the dosing control host 1; the current dosing system data together with the characteristic foam images are transmitted to the cloud server, and processed using the cloud dosing system self-optimization method and the cloud human expert collaborative working method; in this embodiment, one of the characteristic foam images extracted by the image processing host 20 is as follows: Figure 6 As shown;

[0137] Step S202: Optimize the dosing system using a cloud-based dosing system self-optimization method. The cloud-based dosing system self-optimization method analyzes the characteristic foam image and dosing system data, and optimizes the dosing system using the following intelligent algorithm. The technical solution for optimizing the dosing system is:

[0138] The state space S of the system t Screening was performed to obtain the multi-dimensional characteristics of flotation foam and the composition of the sequential dosing system:

[0139] S t ={F opt (t),Q t}

[0140] Where, F opt (t) is the set of flotation foam features that have been screened at time t; in particular, the number of features included in the set is not necessarily fixed and depends on the screening results; Q t represents the dosing system at the current time t;

[0141] Action space A t It represents the change of the dosing system adjustment strategy, which includes three actions: increase the given value, decrease the given value, or keep it unchanged. The action represents the adjustment amount of the dosing system. The adjustment amount of the dosing system is set to ΔQ. The three actions are expressed as follows:

[0142] Q t+1 =Q t +ΔQ,Q t+1 =Q t -ΔQ,Q t+1 =Q t

[0143] According to the current state S t Select an action and calculate the dosing system adjustment ΔQ through cloud-based decision-making to optimize the flotation dosing system.

[0144] The resulting dosing regime is:

[0145] Table 4 Dosing system provided by cloud-based dosing system self-optimization method

[0146]

[0147] Step S203: The cloud artificial expert collaborative work method is used to review, modify, confirm or re-establish the reagent adding system; the cloud artificial expert collaborative work method provides the function of reviewing, modifying, confirming or re-establishing the reagent adding system output by the cloud reagent adding system self-optimization method and the reagent adding system used in the field, so as to ensure the safety and high efficiency of the flotation production operation, and timely solve the unreasonable problems of the reagent adding system in the production process. The reagent adding system provided by the cloud artificial expert collaborative work module in this embodiment is as follows:

[0148] Table 5: Reagent adding system provided by the cloud artificial expert collaborative work method

[0149]

[0150] As a further scheme of the present application, the image processing host 20 analyzes the foam image, and the technical scheme for extracting the feature foam image closely related to the flotation is as follows:

[0151] 1) The basic factors for the image processing host 20 to extract the feature foam image are: foam size, foam quantity, foam shape roundness, foam color, foam thickness and foam texture, and the feature vector F is constructed and expressed as:

[0152] F={F1,F2,F3,F4,F5,F6}

[0153] In the formula, F1-F6 respectively represent foam size, foam quantity, foam shape (roundness), foam color, foam thickness and foam texture;

[0154] 2) Multi-scale analysis is adopted to perform wavelet transform on the foam image I(x, y) to obtain wavelet coefficients ψ a,b (x, y), and after multi-scale analysis, six key foam features are extracted; the formula of wavelet transform multi-scale analysis is:

[0155]

[0156] In the formula, a is a scale factor for controlling the width of the wavelet; b is a translation factor for controlling the position of the wavelet;

[0157] The six extracted foam features are evaluated, and the steps include:

[0158] Step one: The foam image is divided into fixed-size image blocks, each image block is mapped to dimension D through linear embedding, and position encoding PE is added to the embedded features, and the position encoding formula is as follows:

[0159]

[0160] Wherein, pos represents the position of the block, and i represents the dimension index;

[0161] Step two: By calculating the self-attention focus on the important feature area in the image, and after the processing of multiple layers of self-attention and feedforward neural network, the output feature vector can capture the dependency relationship between the foam features, and the calculation formula of self-attention is:

[0162]

[0163] For foam feature evaluation and screening, the system generates the importance score P of each foam feature by linearly mapping the output feature vector i , sets a threshold value δ, when the importance score P i is less than the threshold value δ, it is considered that the feature has no obvious contribution to the flotation result and is removed, and the screened foam feature is represented by the feature vector F opt (t) as:

[0164] F opt (t)={F i |F i ∈F,P i ≥δ}

[0165] In the formula, F opt (t) is the screened feature vector, which contains all features that satisfy P i ≥δ at the current time t.

[0166] As a further scheme of the present application, the cloud artificial expert collaborative working method comprises:

[0167] 1) When the on-site flotation production is abnormal due to changes in ore properties, improper operation, etc., the cloud artificial expert can enter the cloud artificial expert collaborative working through the Internet anywhere, extract the current feature foam image, reagent addition system data and current flotation production index data, make a new reagent addition system, and track and optimize until the flotation production enters the normal state;

[0168] 2) When the reagent addition system self-optimization method provides a reagent addition system with large changes, the cloud expert reviews, modifies and confirms it before it can be provided for on-site production execution;

[0169] 3) When the source and properties of the flotation processed ore change, the cloud artificial expert provides a new reagent addition system;

[0170] 4) The cloud artificial expert provides help for on-site reagent addition system optimization at any location and at any time.

[0171] The specific embodiments of the present application are described above in detail with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the spirit of the present application.

Claims

1. A weighing dual-flow cloud-based optimized flotation dosing control system, characterized by: Including weighing dual-flow automatic dosing system and dosing system cloud optimization system; The weighing dual-flow automatic dosing system is used to automatically adapt to the dosing requirements of various physical and chemical properties of the medicine, and accurately control the dosing amount of each dosing point according to the dosing system; The dosing system cloud optimization system is responsible for automatically optimizing the flotation dosing system according to the changes in ore properties and actual flotation conditions; The dosing system cloud optimization system includes a foam camera, an image processing host, a network connection device and a cloud server. The foam camera is used to obtain on-site flotation foam images, and the image processing host is used to perform feature image analysis and feature image extraction, and transmit the feature images to the cloud server. The cloud server uses the cloud-based dosing system self-optimization method to analyze and intelligently calculate the characteristic images to obtain the optimized dosing system; Human experts remotely analyze characteristic foam images and review and confirm the dosing system obtained by the cloud-based dosing system self-optimization method through a collaborative cloud-based human-expert approach. Only dosing systems that require human expert confirmation can be transmitted to the dosing control host system of the weighing dual-flow automatic dosing system for execution. The cloud-based dosing system self-optimization method sets boundary conditions for the dosing system. When the dosing system is within the boundary range, the dosing system output by the cloud-based dosing system self-optimization method is directly transmitted to the dosing control host system for execution. The weighing dual-flow automatic dosing system includes a dosing control host system and a dosing control device; the dosing control host system is used to control and manage the weighing dual-flow automatic dosing system; the dosing control device is used to control the replenishment, filtration, storage, heating, liquid level detection, weight detection, liquid output, and liquid delivery of the liquid medicine; The dosing control host system comprises a dosing control host (1) and a peripheral circuit, wherein the peripheral circuit comprises a switching power supply, a drive circuit module, a switching electrical appliance and its circuit; The dosing control device comprises: a medicine storage box replenishing solenoid valve (2), a filter (3), a medicine storage box (4), a medicine storage box liquid level tube (5), a pressure transmitter (6), a frame (7), a dosing output stop valve (8), a coarse control solenoid valve (9), a fine control solenoid valve (10), a dosing flow regulator (11), a medicine receiving funnel (12), a dosing flushing water hand valve (13), a dosing flushing water main solenoid valve (14), a force sensor (15), a signal transmitter (16), a medicine storage box (17), a dosing replenishing solenoid valve (18), a dosing replenishing stop valve (19), a medicine storage box electric heating plate (22), and a medicine storage box thermal resistor (23); The dosing control device is an integrated design; the connection method of the various components of the dosing control device is: The medicine storage box medicine replenishing solenoid valve (2) is installed above the filter (3), the filter (3) is connected to the medicine storage box (4) below, the medicine storage box electric heating plate (22) and the medicine storage box thermal resistor (23) are installed below and in front of the medicine storage box (4) respectively, and the medicine storage box (4) is installed on the frame (7); the pressure transmitter (6) and the medicine storage box liquid level tube (5) are installed in front of the medicine storage box (4); A dosing supplement stop valve (19) is installed on the side of the bottom of the back of the medicine storage box (4), and the dosing supplement stop valve (19) is connected to the dosing supplement solenoid valve (18). The output end of the pipeline of the dosing supplement solenoid valve (18) is fixed above the dosing box (17); a dosing output stop valve (8) is installed on the pipeline below the front of the dosing box (17), and a coarse control solenoid valve (9) and a fine control solenoid valve (10) are installed on the pipeline with the dosing output stop valve (8). The outlets of the coarse control solenoid valve (9) and the fine control solenoid valve (10) are respectively installed with a dosing flow regulator (11), and a medicine receiving funnel (12) is installed below the outlet of the dosing flow regulator (11); there are several dosing boxes (17), and a force sensor (15) is installed below each dosing box (17). ), the force sensor (15) is connected to the signal transmitter (16); the dosing flushing water main solenoid valve (14) is connected to multiple dosing flushing water hand valves (13), the dosing flushing water hand valves (13) are installed on the flushing water pipeline, and the flushing water pipeline outlet is installed above the medicine receiving funnel (12); the medicine storage box replenishing solenoid valve (2), the medicine storage box liquid level pipe (5), the pressure transmitter (6), the dosing output stop valve (8), the coarse control solenoid valve (9), the fine control solenoid valve (10), the dosing flushing water hand valve (13), the dosing flushing water main solenoid valve (14), the signal transmitter (16), the dosing replenishing solenoid valve (18), the dosing replenishing stop valve (19), the medicine storage box electric heating plate (22), and the medicine storage box thermal resistor (23) are all connected to the dosing control host (1); The functions of the components of the dosing control device are as follows: the medicine storage box replenishment solenoid valve (2), the filter (3), the medicine storage box (4), the medicine storage box electric heating plate (22), and the medicine storage box thermal resistor (23) are respectively used for replenishing, filtering, storing, heating, and measuring the temperature of the medicine liquid; the medicine storage box liquid level tube (5) and the pressure transmitter (6) are respectively used for indicating and detecting the liquid level of the medicine storage box (4); the dosing replenishment solenoid valve (18) and the dosing replenishment stop valve (19) are used for replenishing the medicine liquid of the dosing box (17) and for switching the pipeline; the coarse control solenoid valve (9) and the fine control solenoid valve (10) are respectively used for controlling the flow of the medicine liquid; the coarse control solenoid valve (11) and the fine control solenoid valve (12) are respectively used for controlling the flow of the medicine liquid; the coarse control solenoid valve (13) and the fine control solenoid valve (14) are respectively used for controlling the flow of the medicine liquid; the coarse control solenoid valve (14) and the fine control solenoid valve (15) are respectively used for controlling the flow of the medicine liquid; the coarse control solenoid valve (15) and the fine control solenoid valve (16) are respectively used for controlling the flow of the medicine liquid; the coarse control solenoid valve (16) and the fine control solenoid valve (17) are respectively used for controlling the flow of the medicine liquid; the coarse control solenoid valve (13) and the fine control solenoid valve (14) are respectively used for controlling the flow of the medicine liquid; the coarse control solenoid valve (13) and the fine control solenoid valve (15) are respectively used for controlling the flow of the medicine liquid; the coarse control solenoid valve (13) and the fine control solenoid valve (16) are respectively used for controlling the flow of the medicine liquid; the coarse control solenoid The control solenoid valve (10), the dosing output stop valve (8), the dosing flow regulator (11), and the medicine receiving funnel (12) are respectively used for large-flow dosing, small-flow dosing, dosing flow switch, liquid medicine flow regulation, and liquid medicine receiving; the force sensor (15) and the signal transmitter (16) are respectively used for weight measurement of the dosing box (17) and amplification and conditioning of the force sensor signal; the dosing flushing water hand valve (13) and the dosing flushing water main solenoid valve (14) are respectively used for regulating the flushing water flow of each dosing solenoid valve and controlling the flushing water main switch.

2. The weighing dual-flow cloud-based optimized flotation dosing control system according to claim 1 is characterized by: The dosing flow regulator (11) comprises: a dosing flow regulator connector (24), an adjusting screw (25), an adjusting pipe seat (26), and an elastic hose (27); the dosing flow regulator (11) is connected to the output ends of the coarse control solenoid valve (9) and the fine control solenoid valve (10) respectively through the dosing flow regulator connector (24); the other end of the dosing flow regulator connector (24) is connected to the elastic hose (27); the elastic hose (27) is installed in the adjusting pipe seat (26), and the adjusting screw (25) is installed in the middle of the adjusting pipe seat (26); the output flow of the drug solution of the coarse control solenoid valve (9) and the fine control solenoid valve (10) is adjusted by operating the adjusting screw (25).

3. The weighing dual-flow cloud-based optimized flotation dosing control system according to claim 1 is characterized by: The image processing host (20) of the cloud-based optimization system for the dosing system communicates with the cloud server, the dosing control host (1), and the foam camera (21) respectively through a network connection device; the foam images of the rough selection, fine selection, and scan selection of the flotation process are collected in real time by the foam camera (21) and the images are transmitted to the image processing host (20); the foam images are analyzed by the image processing host (20), and characteristic foam images with strong correlation with flotation are extracted, and the characteristic foam images are transmitted to the cloud server together with the dosing system data provided by the dosing control host (1).

4. A method for performing weighing dual-stream cloud-based optimized flotation dosing control using the weighing dual-stream cloud-based optimized flotation dosing control system according to any one of claims 1 to 3, characterized in that: The method includes a weighing dual-flow automatic dosing control method and a dosing system cloud optimization method; The weighing dual-flow automatic dosing control method can accurately control the dosing amount of each dosing point according to the dosing system; The cloud-based optimization method for the dosing system includes a cloud-based self-optimization method for the dosing system and a cloud-based human expert collaborative working method; The cloud-based dosing system self-optimization method automatically analyzes and optimizes the characteristic image to obtain an optimized dosing system; The cloud-based human expert collaborative working method optimizes the on-site dosing system through remote assistance when the human expert is not on-site, specifically including the following three situations: (1) the human expert independently proposes the dosing system; (2) the human expert reviews and confirms the dosing system output by the cloud-based dosing system self-optimization method; (3) after the human expert sets the boundary conditions, when the dosing system obtained by the cloud-based dosing system self-optimization method does not exceed the boundary conditions, it is directly adopted; The weighing dual-flow automatic dosing control method includes: Step S101: Calibration of the weighing device of the medicine adding box; The dosing control host system provides calibration for all dosing box weighing devices. Calibration requires only a standard weight, not liquid medicine. Open the dosing box weighing device calibration interface and select the dosing box weighing device to be calibrated. Click "Zero," "Calibrate," "Calculate," and "Save" to complete the calibration. Step S102: Control the dosage of each dosing point using a periodic dosing control method; all dosing points of the dosing control system adopt a periodic dosing control method, dosing is performed once in each dosing control cycle, and the control system automatically and accurately dosing according to the given dosing value. The dosing control cycle ranges from 30s to 90s and is set according to actual needs; each dosing control cycle is divided into two parts: dosing time and replenishing time. The dosing time is approximately three-quarters of the dosing control cycle, and the replenishing time is approximately one-quarter of the dosing control cycle. Step S103: by changing the diameter of the elastic hose at the outlet of the coarse control solenoid valve through the dosing flow regulator, the maximum flow of the coarse control solenoid valve is adjusted to the range required for dosing control; by adjusting the adjusting screw (25) of the dosing flow regulator (11), the diameter of the elastic hose at the outlet of the coarse control solenoid valve is changed, and the maximum flow of the coarse control solenoid valve (9) at each dosing point is adjusted to the required value, wherein the maximum flow is the average value of the upper and lower limits of the given dosing value when the amount of liquid medicine output by the coarse control solenoid valve within one-third of the dosing cycle is approximately; Step S104: by changing the diameter of the elastic hose at the outlet of the precision control solenoid valve through the dosing flow regulator, the maximum flow of the precision control solenoid valve is adjusted to the range required for dosing control; by adjusting the adjusting screw (25) of the dosing flow regulator (11), the diameter of the elastic hose at the outlet of the precision control solenoid valve is changed, and the maximum flow of the precision control solenoid valve (10) is adjusted to the required value, wherein the maximum flow is such that the amount of liquid medicine output by the precision control solenoid valve within a quarter of the dosing cycle is approximately one tenth of the average value of the upper and lower limits of the dosing set value; Step S105: When the flow rate set value is very small, only the precision control solenoid valve is used to control the dosage; when the flow rate set value at the dosing point is less than one tenth of the average value of the upper and lower limits of the dosing set value, only the precision control solenoid valve (10) is used to control the dosage; Step S106: The weight of the dosing box is measured by the force sensor, and the dosing amount is calculated by the change in the weight of the dosing box during the dosing cycle; the weight of the dosing box (17) is measured by the force sensor (15), and the force sensor signal is amplified and conditioned by the signal transmitter (16), converted into a current or voltage signal and transmitted to the dosing control host (1), and the weight of the dosing box (17) is calculated. The dosing amount is calculated by the change in the weight of the dosing box during the dosing control cycle. The dosing amount calculation mathematical model is: W=K W (N0-N); Where W is the dosage of this dosing control cycle, K W is the weight coefficient, N0 is the weight A / D conversion value of the dosing box (17) before dosing in this dosing control cycle, and N is the weight A / D conversion value of the current dosing box (17); Step S107: The dosage is controlled to be about 95% of the given value by switching the coarse control solenoid valve; the control system automatically opens the coarse control solenoid valve (9) to perform dosage, and when the dosage measurement value reaches about 85% of the given value, the pulse-type switching coarse control solenoid valve (9) is switched to open the solenoid valve for dosage for a short time, and close the solenoid valve for a short time to perform static measurement, and this is repeated until the dosage is controlled to be about 95% of the given value; Step S108: The dosage is controlled within the required error range by switching the precision control solenoid valve. The system enters the precision control solenoid valve switching control stage, and the control system automatically opens the precision control solenoid valve (10) to perform dosage. When the dosage reaches 98.5% of the given value, intermittent switching control is used to perform dosage. The solenoid valve is opened for a short time to perform dosage, and then closed for a short time to perform static measurement. This process is repeated until the dosage accuracy meets the requirements. Step S109: During the replenishing time, when the weight of the dosing box is lower than the lower limit, replenishing the dosing box is started; when the weight of the dosing box is higher than the upper limit, replenishing the dosing box is stopped; during the replenishing time of each dosing control cycle, when the weight of the dosing box (17) is lower than the lower limit, replenishing the dosing box is started; when the weight of the dosing box (17) is higher than the upper limit, replenishing the dosing box is stopped; Step S110: detecting the liquid level of the medicine storage box; when the liquid level is lower than the lower limit, opening the medicine storage box medicine replenishing solenoid valve; when the liquid level is higher than the upper limit, closing the medicine storage box medicine replenishing solenoid valve; using a pressure transmitter to detect the liquid level of the medicine storage box (4) in real time; when the liquid level of the medicine storage box (4) is lower than the lower limit set value, automatically opening the medicine storage box medicine replenishing solenoid valve (2) to replenish medicine; when the liquid level of the medicine storage box (4) is higher than the upper limit set value, automatically closing the medicine storage box medicine replenishing solenoid valve (2) to stop replenishing medicine; Step S111: Detecting the temperature of the medicine liquid in the medicine storage box and controlling heating as needed; selecting whether to detect the temperature of the medicine liquid in the medicine storage box and controlling heating as needed; the method for detecting the temperature of the medicine liquid in the medicine storage box and controlling heating as needed is as follows: using the medicine storage box thermal resistor (23) to detect the temperature of the medicine liquid in the medicine storage box (4); when the temperature is lower than the lower limit set value, automatically turning on the medicine storage box electric heating plate (22) for heating; when the temperature is higher than the upper limit set value, turning off the power supply of the medicine storage box electric heating plate (22), thereby maintaining the temperature of the medicine liquid between the upper limit and the lower limit at low temperatures; Step S112: Regulate the flow rate of the dosing flushing water and control the switch as needed; select whether flushing water is needed according to actual conditions; the method for regulating the flow rate of the dosing flushing water and controlling the switch is as follows: adjust the flushing water flow rate required by each dosing point through the dosing flushing water manual valve (13), and then control the switch of the flushing water of each dosing point through the dosing flushing water main electromagnetic valve (14), automatically turning on the flushing water when dosing control is performed, and automatically turning off the flushing water when dosing control is stopped.

5. The weighing dual-flow cloud-based optimized flotation dosing control method according to claim 4 is characterized by: The working steps of the cloud-based optimization method for the dosing system are as follows: Step S201: flotation foam image acquisition, characteristic foam image extraction, and cloud transmission of characteristic foam image and dosing system data; specifically, the foam camera (21) acquires in real time the foam images of the flotation tanks of the roughing, fine and sweeping flotation process, and transmits the foam images to the image processing host (20); the image processing host (20) analyzes the foam images and extracts characteristic foam images closely related to flotation; the image processing host (20) obtains the current dosing system data from the dosing control host (1); the current dosing system data together with the characteristic foam image are transmitted to the cloud server, and processed using the cloud dosing system self-optimization method and the cloud human expert collaborative working method; Step S202: Optimize the dosing system using a cloud-based dosing system self-optimization method. The cloud-based dosing system self-optimization method analyzes the characteristic foam image and dosing system data, and optimizes the dosing system using the following intelligent algorithm. The technical solution for optimizing the dosing system is: The state space of the system Screening was performed to obtain the multi-dimensional characteristics of flotation foam and the composition of the sequential dosing system: ； Where, is the set of flotation foam features that have been screened at time t; the number of features included in the set depends on the screening results; represents the dosing system at the current time t; Action Space Indicates the change of the dosing system adjustment strategy, which includes three actions: increase the given value, decrease the given value or keep it unchanged; the action indicates the adjustment amount of the dosing system, and the adjustment amount of the dosing system is set to , the three actions are represented as follows: ， ， ； According to the current status Select an action and get the adjustment amount of the dosing system through cloud decision making To calculate the dosing system, so as to optimize the flotation dosing system; Step S203: Review, modify, confirm or re-establish the dosing system through the cloud-based human expert collaborative working method; the cloud-based human expert collaborative working method provides the function of reviewing, modifying, confirming or re-setting the dosing system output by the cloud-based dosing system self-optimization method and the dosing system used on site, so as to ensure the safety and efficiency of flotation production operation and promptly resolve unreasonable dosing system problems arising in the production process.

6. The weighing dual-flow cloud-based optimized flotation dosing control method according to claim 5 is characterized by: The image processing host (20) analyzes the foam image and extracts the characteristic foam image closely related to flotation. The technical solution is: 1) The basic factors for extracting characteristic foam images by the image processing host (20) are: foam size, foam quantity, foam shape, foam color, foam thickness and foam texture. The characteristic vector F is constructed as follows: ； Where, - They represent foam size, foam quantity, foam shape, foam color, foam thickness, and foam texture respectively; 2) Using multi-scale analysis to analyze foam images Perform wavelet transform to obtain wavelet coefficients After multi-scale analysis, six key foam characteristics are extracted; the wavelet transform multi-scale analysis formula is: ； Where a is the scale factor, which is used to control the width of the wavelet; b is the translation factor, which is used to control the position of the wavelet; The six extracted foam characteristics were evaluated by the following steps: Step 1: Divide the foam image into fixed-size image blocks. Each image block is mapped to dimension D through linear embedding. The position encoding PE is added to the embedded features. The position encoding formula is as follows: and ; Among them, pos represents the position of the block, i represents the dimension index; Step 2: By calculating self-attention, we focus on the important feature areas in the image. After processing through multiple layers of self-attention and feedforward neural networks, the output feature vector can capture the dependency relationship between foam features. The calculation formula for self-attention is: ； For foam feature evaluation and screening, the system generates the importance score of each foam feature by linearly mapping the output feature vector , set the threshold , when a certain importance score Less than threshold When , the feature is considered to have no significant contribution to the flotation results and is removed. The foam features after screening are expressed as feature vectors. Expressed as: ； Where, It is a filtered feature vector containing all the features that satisfy characteristics.

7. The weighing dual-flow cloud-based optimized flotation dosing control method according to any one of claims 5 and 6, characterized in that: Cloud-based human expert collaboration methods include: 1) When on-site flotation production is abnormal due to changes in ore properties or improper operation, cloud-based human experts can access the system from anywhere via the internet and collaborate with the system to extract current characteristic foam images, dosing system data, and current flotation production index data. They can then formulate a new dosing system and conduct tracking optimization until flotation production returns to normal. 2) When there are major changes to the dosing system provided by the cloud-based dosing system self-optimization method, cloud-based experts will review, modify, and confirm it before it can be provided for on-site production execution; 3) When the source and properties of the ore being flotated change, cloud-based human experts will provide a new dosing system; 4) Cloud-based human experts provide on-site assistance in optimizing dosing systems at any location and at any time.

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