Intelligent mineral separation control system for photovoltaic ultra-white sand

Abstract

The invention relates to the technical field of beneficiation control, and discloses a photovoltaic ultra-white sand intelligent beneficiation control system which comprises a data acquisition unit, a data analysis unit and a remote control unit. Accurate temperature control and flow adjustment are achieved by collecting data such as the temperature, the acid liquor flow and the ore supply amount in real time and combining an intelligent analysis algorithm. The system dynamically adjusts the proportionality coefficient, optimizes the opening degrees of a steam valve and an acid liquor valve, and ensures that the temperature of the purifier is stable and the solution concentration reaches the standard; technological parameter fluctuation is reduced through accurate control, and the product quality is improved; the system reliability is enhanced, human errors are reduced through automatic execution, and abnormal conditions are monitored in real time; energy consumption and emission are reduced, and the sustainable development requirement is met. Intelligent and automatic control of the beneficiation process is achieved, the production benefit and the product quality are remarkably improved, meanwhile, the production cost is reduced, the environmental burden is relieved, and wide application prospects are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of ore dressing control, and particularly relates to an intelligent ore dressing control system for photovoltaic ultra-white sand. Background Art

[0002] With the continuous growth of global energy demand and the increasing prominence of environmental problems, the development and utilization of renewable energy have become an important way to solve the energy crisis and reduce environmental pollution. As an important part of renewable energy, the photovoltaic industry has developed rapidly in recent years. Photovoltaic ultra-white sand, as a key raw material for the production of photovoltaic glass, its purity and quality directly affect the light transmittance and power generation efficiency of photovoltaic glass. Therefore, the purification process of photovoltaic ultra-white sand is crucial.

[0003] The traditional purification process of photovoltaic ultra-white sand mainly relies on manual operation and empirical judgment, and has the following problems:

[0004] Inaccurate temperature control: During the purification process, temperature is a key factor affecting the chemical reaction rate and product quality. The traditional method relies on manual adjustment of the steam valve, making it difficult to achieve precise temperature control, easily resulting in temperature fluctuations and affecting the purification effect.

[0005] Imprecise adjustment of acid liquid flow rate: The flow rate of acid liquid is directly related to the reaction concentration of ore and acid liquid. The traditional method lacks a precise flow rate adjustment mechanism, easily resulting in unstable acid liquid concentration and affecting the purification efficiency and product quality.

[0006] Low degree of automation: The traditional process relies on manual operation, which not only has a large labor intensity but is also easily affected by human factors, resulting in instability of production efficiency and product quality.

[0007] Lack of intelligent analysis: The traditional method lacks real-time collection and analysis of production data, cannot dynamically adjust process parameters according to real-time data, and is difficult to achieve optimization and intelligent management of the production process.

[0008] To solve the above problems, the present invention proposes an intelligent ore dressing control system for photovoltaic ultra-white sand. This system uses a data acquisition unit to collect key parameters such as the temperature, acid liquid flow rate, and ore supply volume of the purifier in real time, performs intelligent analysis and control using a data analysis unit, and finally realizes precise regulation through a remote control unit. This system can achieve precise temperature control and accurate adjustment of acid liquid flow rate, improve production efficiency and product quality, reduce manual intervention, and realize the intelligence and automation of the photovoltaic ultra-white sand purification process. Summary of the Invention

[0009] The purpose of the present invention is to provide an intelligent ore dressing control system for photovoltaic ultra-white sand, which solves the technical problems proposed in the background art.

[0010] The object of the present invention can be achieved by the following technical solutions:

[0011] An intelligent ore dressing control system for photovoltaic ultra-white sand, comprising:

[0012] A data acquisition unit, configured to collect the temperature data of the purification machine in real time through a plurality of temperature sensors installed on the inner wall of the purification machine; collect the flow value of the acid solution in real time through an electromagnetic flowmeter installed on the acid solution pipeline; measure the supply amount of the ore through a weighing sensor configured on the feeder;

[0013] A data analysis unit, configured to perform control analysis on the temperature data, the flow value of the acid solution, and the supply amount of the ore; the control analysis includes temperature control and flow regulation, and respectively determines the adjustment opening of the steam valve and the adjustment opening of the acid solution valve according to the results of the temperature control and the flow regulation;

[0014] A remote control unit, configured to convert the control instructions obtained by the data analysis unit into actual actions.

[0015] As a further solution of the present invention: the temperature control analysis method is as follows:

[0016] StepM1.1. Temperature data extraction and real-time temperature calculation:

[0017] Extract the temperature data collected by a plurality of temperature sensors, then calculate its average value, and record the average value as the real-time temperature of the purification machine;

[0018] Its calculation formula is:

[0019] In the formula, TP is the real-time temperature of the purification machine, Ti is the temperature data collected by the i-th temperature sensor, i = 1, 2,..., n, and n represents the number of temperature sensors;

[0020] StepM1.2. Temperature set value extraction and deviation value calculation:

[0021] Extract the temperature set value of the purification machine; then subtract the temperature set value from the actual temperature to obtain the temperature deviation value of the purification machine, and mark it as TC;

[0022] StepM1.3. Adjust the opening of the steam valve according to the temperature deviation:

[0023] Adjust the opening of the steam valve according to the temperature deviation, and the opening adjustment formula of the steam valve is: K1 = g×TC + K0;

[0024] In the formula, K1 is the opening value of the steam valve after adjustment, g is a preset proportional coefficient, and K0 is the opening value of the steam valve before adjustment.

[0025] As a further solution of the present invention: wherein, the proportionality coefficient g is also dynamically adjusted according to the temperature change rate, and the preset value set of g is {g1, g2, g3};

[0026] As a further solution of the present invention: the dynamic adjustment method is as follows:

[0027] Select a specified period, and divide m acquisition time nodes therein. Then, extract the real-time temperature of the purification machine at each acquisition time node and mark it as TP j , j = 1, 2,..., m;

[0028] Then, through: Calculate the temperature change rate TB within the specified period;

[0029] In the formula, t0 is the time interval between two adjacent acquisition time nodes, and multiple acquisition time nodes are divided according to the value of t0;

[0030] Next, extract the preset change rate threshold set {TB1y, TB2y}, and compare the temperature change rate TB with the change rate threshold set {TB1y, TB2y}:

[0031] If TB < TB1y, the value of g is g1;

[0032] If TB1y ≤ TB ≤ TB2y, the value of g is g2;

[0033] If TB > TB2y, the value of g is g3.

[0034] As a further solution of the present invention: the data analysis unit also makes an abnormal determination on the purification machine according to the temperature change rate within the specified period, and the specific method is as follows:

[0035] Compare the absolute value of the temperature change rate within the specified period with the preset abnormal change rate threshold TBmax, and TBmax > TB2y;

[0036] When |TB| ≥ TBmax, it is determined that there is an abnormal temperature rise or abnormal temperature drop in the purification machine, and then a device abnormal signal is generated;

[0037] When |TB| < TBmax, no device abnormal signal is generated.

[0038] As a further solution of the present invention: the flow rate adjustment analysis method is:

[0039] StepM2.1. Flow rate and supply amount extraction and concentration model construction:

[0040] Extract the flow rate value of the current acid solution and the supply amount of the ore, and mark them as Q and M respectively. Then, construct a concentration calculation model based on L and M;

[0041] The concentration calculation model is as follows:

[0042] In the formula, C is the solution concentration of the ore and the acid solution, and t1 is the monitoring time of the acid solution flow rate;

[0043] StepM2.2. Substitute the set value to calculate the target value of the acid solution flow rate:

[0044] Extract the set values of the concentrations of the ore and the acid solution, and then combine them with the supply amount of the ore, substitute them into the concentration calculation model, and obtain the target value of the acid solution flow rate;

[0045] The formula is as follows:

[0046] In the formula, Q1 is the target value of the acid solution flow rate, and C1 is the set value of the concentrations of the ore and the acid solution;

[0047] StepM2.3. Calculate the difference in the acid solution flow rate:

[0048] Subtract the current acid solution flow rate value from the target value of the acid solution flow rate to obtain the difference in the acid solution flow rate;

[0049] StepM2.4. Adjust the opening degree of the acid solution valve according to the flow rate difference:

[0050] Adjust the opening degree of the acid solution valve according to the difference in the acid solution flow rate. The opening degree adjustment formula of the acid solution valve is: D1 = f×(Q1 - Q) + D0;

[0051] In the formula, D1 is the opening degree value after the adjustment of the acid solution valve, (Q1 - Q) is the difference in the acid solution flow rate, f is the preset proportional coefficient, and D0 is the opening degree value before the adjustment of the acid solution valve.

[0052] As a further solution of the present invention: The temperature control execution mode is: Receive the adjustment instruction of the data analysis unit for the opening degree of the steam valve, that is, the opening degree value after the adjustment of the steam valve; The remote control unit drives the actuator of the steam valve and adjusts the valve opening degree to the position corresponding to K1.

[0053] As a further solution of the present invention: The flow rate adjustment execution mode is: According to the acid solution valve opening degree adjustment result calculated by the data analysis unit, that is, the opening degree value after the adjustment of the acid solution valve; The remote control unit controls the driving device of the acid solution valve and adjusts the opening degree of the acid solution valve to the position corresponding to D1.

[0054] As a further solution of the present invention: Among them, the steam valve is used to adjust the temperature. The steam valve adopts a pneumatic control valve and is installed on the main steam supply pipeline of the purification machine; The acid solution valve is used to adjust the acid solution flow rate in real time. The acid solution valve adopts a pneumatic control valve and is installed on the pipeline between the acid solution storage tank and the purification machine.

[0055] Advantages of the present invention:

[0056] Real-time monitoring and precise control: The key parameters such as the temperature, acid liquid flow rate, and ore supply volume of the purification machine are collected in real time by the data acquisition unit, ensuring that the system can respond to various changes in a timely manner and achieve precise control. The real-time nature of temperature control and flow rate adjustment improves the stability and reliability of the system.

[0057] Optimization of temperature control: By comprehensively calculating the data from multiple temperature sensors, the real-time temperature is obtained, and the proportional coefficient is dynamically adjusted in combination with the temperature deviation and the rate of temperature change to precisely control the opening degree of the steam valve. This dynamic adjustment mechanism can effectively cope with temperature fluctuations, ensure the stability of the temperature of the purification machine, and avoid affecting the product quality due to too high or too low temperature.

[0058] Intelligent flow rate adjustment: By constructing a concentration calculation model and combining the acid liquid flow rate and ore supply volume, the target value of the acid liquid flow rate is intelligently determined, and the opening degree of the acid liquid valve is adjusted according to the flow rate difference. This intelligent adjustment method can ensure that the concentration of the ore and acid liquid solution always remains within the set range, improving the ore dressing efficiency and product quality.

[0059] Dynamic adjustment of the proportional coefficient: The proportional coefficient is dynamically adjusted according to the rate of temperature change, further optimizing the response speed and accuracy of temperature control. Through a preset set of proportional coefficients and a rate of change threshold, the system can automatically select the most appropriate proportional coefficient according to different working conditions, enhancing the adaptability and robustness of the system.

[0060] Automated execution: The remote control unit can quickly convert the control instructions obtained by the data analysis unit into actual actions, automatically adjusting the opening degrees of the steam valve and the acid liquid valve. This automated execution method reduces manual intervention, reduces operation errors, and improves production efficiency and consistency.

[0061] Improve production efficiency and product quality: Through precise temperature control and flow rate adjustment, the system can ensure the stability and consistency of the purification process, thereby improving the production efficiency and product quality of photovoltaic ultra-white sand. Stable process parameters help reduce the scrap rate and lower production costs.

[0062] Reduce energy consumption and resource waste: By optimizing temperature control and acid liquid flow rate adjustment, the system can effectively reduce the consumption of energy and chemical reagents, lower production costs, and at the same time reduce the impact on the environment, meeting the requirements of green production.

[0063] Enhance system reliability and maintainability: The intelligent control and automated execution of the system reduce the possibility of human operation errors, enhancing the system's reliability and maintainability. At the same time, the system can monitor key parameters in real time, detect and handle abnormal situations in a timely manner, reducing equipment failures and downtime.

[0064] In summary, the intelligent ore dressing control system for photovoltaic ultra-white sand of the present invention significantly improves production efficiency, product quality, and resource utilization rate through real-time monitoring, precise control, intelligent regulation, and automated execution. At the same time, it reduces energy consumption and production costs, with significant economic and environmental benefits. Brief Description of the Drawings

[0065] The present invention will be further described below with reference to the accompanying drawings.

[0066] Figure 1 is the system block diagram of an intelligent ore dressing control system for photovoltaic ultra-white sand of the present invention.

[0067] Figure 2 is the flow schematic diagram of the data analysis unit in an intelligent ore dressing control system for photovoltaic ultra-white sand of the present invention. Detailed Embodiments

[0068] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0069] Embodiment 1

[0070] Please refer to Figure 1 and Figure 2 As shown, the present invention is an intelligent ore dressing control system for photovoltaic ultra-white sand, including:

[0071] A data acquisition unit for real-time collecting the temperature data of the purification machine through a plurality of temperature sensors installed on the inner wall of the purification machine;

[0072] A data analysis unit for performing temperature control analysis on the temperature data. The temperature control analysis method is as follows:

[0073] StepM1.1: Extract the temperature data collected by the plurality of temperature sensors, then calculate its average value, and record this average value as the real-time temperature of the purification machine;

[0074] The calculation formula is:

[0075] Wherein, TP is the real-time temperature of the purification machine, Ti is the temperature data collected by the i-th temperature sensor, i = 1, 2, …… n, and n represents the number of temperature sensors;

[0076] StepM1.2: Extract the temperature set value of the purification machine; then subtract the temperature set value from the actual temperature to obtain the temperature deviation value of the purification machine, and mark it as TC;

[0077] StepM1.3: Adjust the opening degree of the steam valve according to the temperature deviation. The opening degree adjustment formula of the steam valve is: K1 = g × TC + K0;

[0078] Wherein, K1 is the opening degree value of the steam valve after adjustment, g is the preset proportionality coefficient, and K0 is the opening degree value of the steam valve before adjustment;

[0079] The proportionality coefficient g of the steam valve is obtained through preliminary experiments;

[0080] The remote control unit adjusts the opening degree of the steam valve according to the control instruction obtained by the data analysis unit; specifically, for temperature control: receive the adjustment instruction for the opening degree of the steam valve from the data analysis unit, that is, the opening degree value of the steam valve after adjustment; the remote control unit drives the actuator of the steam valve to adjust the valve opening degree to the position corresponding to K1; thereby changing the flow rate of steam entering the purification machine, so as to realize the precise control of the temperature of the purification machine and ensure that the temperature of the purification machine is stable near the set value.

[0081] In this embodiment, the steam valve is the core execution component for temperature control. The steam valve is used to adjust the temperature. Specifically, by precisely adjusting the steam flow rate, it ensures that the internal temperature of the purification machine is stable at the set value, avoiding abnormal chemical reaction rates caused by temperature fluctuations. The steam valve adopts a pneumatic control valve and is installed on the main steam supply pipeline of the purification machine.

[0082] In Embodiment 1, the data acquisition unit obtains the temperature data of the purification machine in real time. The data analysis unit calculates the real-time temperature and temperature deviation value using a specific formula, and adjusts the opening degree of the steam valve according to the deviation. Then, the remote control unit precisely executes the control instruction. This embodiment realizes the automatic and precise control of the temperature of the purification machine, can effectively ensure that the temperature of the purification machine is stable near the set value, avoid the adverse effects of temperature fluctuations on the purification effect of photovoltaic ultra-white sand, improve the stability and reliability of the purification process, and ensure product quality.

[0083] Embodiment 2

[0084] As Embodiment 2 of the present invention, when this application is specifically implemented, compared with Embodiment 1, the technical solution of this embodiment is only different from that of Embodiment 1 in that in StepM1.3, the proportionality coefficient g is dynamically adjusted according to the temperature change rate;

[0085] Among them, the preset value set of g is {g1, g2, g3};

[0086] The dynamic adjustment method is as follows:

[0087] Select a specified period and divide m acquisition time nodes therein. Then, extract the real-time temperature of the purification machine at each acquisition time node and mark it as TP j , j = 1, 2,..., m;

[0088] Then, through: Calculate the temperature change rate TB within the specified period;

[0089] In the formula, t0 is the time interval between two adjacent acquisition time nodes, and multiple acquisition time nodes are divided according to the value of t0;

[0090] Next, extract the preset change rate threshold set {TB1y, TB2y} and compare the temperature change rate TB with the change rate threshold set {TB1y, TB2y}:

[0091] In this embodiment, the value of TB1y is 1 °C / second, and the value of TB2y is 2 °C / second;

[0092] If TB < TB1y, then the value of g is g1;

[0093] If TB1y ≤ TB ≤ TB2y, then the value of g is g2;

[0094] If TB > TB2y, then the value of g is g3;

[0095] In this embodiment, the value of g1 is 0.3% / °C, the value of g2 is 0.5% / °C, and the value of g3 is 0.8% / °C.

[0096] Based on Embodiment 1, in Embodiment 2, for the proportional coefficient g in Step M1.3, dynamic adjustment is performed according to the temperature change rate. By dividing acquisition time nodes within a specified period, calculating the temperature change rate, and comparing it with a preset threshold to determine the value of g. This dynamic adjustment mechanism makes the adjustment of the steam valve opening more flexible and adaptable, can more accurately control the steam flow according to the speed of temperature change of the purification machine, further improves the accuracy and efficiency of temperature control, and optimizes the performance of the entire ore dressing control system.

[0097] Among them, the data analysis unit also performs abnormal determination on the purification machine according to the temperature change rate within the specified period. The specific method is as follows:

[0098] Compare the absolute value of the temperature change rate within the specified period with the preset abnormal change rate threshold TBmax, and TBmax > TB2y;

[0099] When |TB| ≥ TBmax, it is determined that there is an abnormal temperature rise or abnormal temperature drop in the purification machine, and then an equipment abnormal signal is generated;

[0100] When |TB| < TBmax, no equipment abnormal signal is generated;

[0101] This embodiment can timely and accurately determine whether there is an abnormal temperature rise or abnormal temperature drop in the purification machine. This function greatly improves the monitoring ability of the intelligent ore dressing control system for photovoltaic ultra-white sand on the operating state of the equipment, can detect it in the initial stage of equipment abnormality in time, provide early warning for operators, facilitate them to quickly take countermeasures, effectively avoid problems such as production interruption and product quality decline caused by abnormal equipment operation, ensure the continuity and stability of the production process, reduce potential production risks, and strongly improve the reliability and safety of the entire ore dressing system.

[0102] Embodiment III

[0103] As Embodiment III of the present invention, in the specific implementation of this application, compared with Embodiment I and Embodiment II, the technical solution of this embodiment is to combine and implement the solutions of the above Embodiment I and Embodiment II. The difference between the technical solution of this embodiment and Embodiment I and Embodiment II is only that in this embodiment:

[0104] The data acquisition unit is also used to collect the flow value of the acid solution in real time through an electromagnetic flowmeter installed on the acid solution pipeline, and measure the supply amount of the ore through a weighing sensor configured on the feeder;

[0105] The data analysis unit is also used for the data analysis unit to perform flow regulation analysis on the flow value of the acid solution and the supply amount of the ore. The flow regulation analysis method is as follows:

[0106] StepM2.1: Extract the current flow value of the acid solution and the supply amount of the ore, and mark them as Q and M respectively, and then construct a concentration calculation model based on L and M;

[0107] The concentration calculation model is:

[0108] In the formula, C is the solution concentration of the ore and the acid solution, and t1 is the monitoring time of the acid solution flow;

[0109] StepM2.2: Extract the concentration set values of the ore and the acid solution, and then substitute them into the concentration calculation model in combination with the supply amount of the ore, and obtain the flow target value of the acid solution;

[0110] Its formula is as follows:

[0111] Wherein, Q1 is the target value of the flow rate of the acid solution, and C1 is the set value of the concentration of the ore and the acid solution;

[0112] StepM2.3: Subtract the current flow rate value of the acid solution from the target value of the flow rate of the acid solution to obtain the flow rate difference of the acid solution;

[0113] StepM2.4: Adjust the opening degree of the acid solution valve according to the flow rate difference of the acid solution. The opening degree adjustment formula of the acid solution valve is: D1 = f×(Q1 - Q) + D0;

[0114] Wherein, D1 is the opening degree value of the acid solution valve after adjustment, (Q1 - Q) is the flow rate difference of the acid solution, f is a preset proportional coefficient, and D0 is the opening degree value of the acid solution valve before adjustment;

[0115] The proportional coefficient f of the acid solution valve is obtained through preliminary experiments;

[0116] The remote control unit is also used to adjust the opening degree of the acid solution valve according to the regulation instruction obtained by the data analysis unit. Specifically: Flow rate adjustment execution: According to the acid solution valve opening degree adjustment result calculated by the data analysis unit, that is, the opening degree value of the acid solution valve after adjustment; the remote control unit controls the driving device of the acid solution valve and adjusts the opening degree of the acid solution valve to the position corresponding to D1; thereby changing the flow rate of the acid solution to make the solution concentration of the ore and the acid solution reach the preset standard.

[0117] Among them, the acid solution valve is the key actuator for flow rate adjustment. The acid solution valve is used to adjust the flow rate of the acid solution in real time to ensure a constant molar ratio of the ore to the acid solution and improve the purification efficiency; accurately control the dosage of the acid solution and reduce ineffective consumption. The acid solution valve adopts a corrosion-resistant pneumatic control valve and is installed on the conveying pipeline between the acid solution storage tank and the purifier;

[0118] Embodiment 3 is an extension based on Embodiment 1 and Embodiment 2. The data acquisition unit newly adds the acquisition of the acid solution flow rate and the ore supply amount. The data analysis unit constructs a concentration calculation model, calculates the target value of the acid solution flow rate according to the concentration set value, and then adjusts the opening degree of the acid solution valve according to the flow rate difference. The remote control unit realizes the flow rate adjustment. This embodiment not only realizes the precise control of the temperature of the purifier, but also can effectively adjust the solution concentration of the ore and the acid solution, so that the key parameters in the ore dressing process can be accurately regulated, which helps to improve the overall quality and efficiency of the ore dressing and ensure the production of photovoltaic ultra-white sand products that meet the standards.

[0119] Embodiment 4

[0120] As Embodiment 4 of the present invention, in the specific implementation of the present application, compared with Embodiment 1, Embodiment 2, Embodiment 3 and Embodiment 4, the technical solution of this embodiment is to combine and implement the solutions of the above Embodiment 1, Embodiment 2, Embodiment 3 and Embodiment 4.

[0121] Example 4 integrates the solutions of the previous Examples 1, 2, and 3, comprehensively covering precise temperature control, dynamic adjustment of proportional coefficients, and control of acid liquid flow rate and concentration. Through this comprehensive technical integration, Example 4 achieves the coordinated and precise control of multi-dimensional parameters of the intelligent ore dressing control system for photovoltaic ultra-white sand, greatly improving the stability, efficiency, and intelligence level of the entire ore dressing process, ensuring the quality of ore dressing products in all aspects, increasing production efficiency, and having significant technical advantages and application value in the field of photovoltaic ultra-white sand ore dressing.

[0122] The above formulas are all calculated by taking the numerical values after dimensionlessization. The formulas are obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.

[0123] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A photovoltaic ultra-white sand intelligent mineral processing control system, characterized in that: include: A data acquisition unit, used to collect temperature data of the purifier, flow value of the acid solution and supply amount of the ore; The data analysis unit is used to carry out control analysis on temperature data, acid flow value and ore supply; the control analysis includes temperature control and flow regulation; the temperature control is to calculate the average value of the temperature data and obtain the real-time temperature, then obtain the temperature deviation by comparing with the set value, and then determine the adjustment opening of the steam valve according to the temperature deviation; the flow regulation is to build a concentration calculation model according to the acid flow and ore supply, then combine the concentration setting values ​​of the ore and acid with the concentration calculation model, determine the acid flow target value, then determine the acid flow difference, and determine the adjustment opening of the acid valve according to it; The remote control unit is used to adjust the opening of the steam valve and the acid valve according to the control instructions obtained by the data analysis unit.

2. A photovoltaic ultra-white sand intelligent mineral processing control system according to claim 1, characterized in that: The temperature control analysis method is: Step M1.1, extract the temperature data collected by multiple temperature sensors, then calculate the average value, and record the average value as the real-time temperature of the purifier; The calculation formula is: Wherein, TP is the real-time temperature of the purifier, Ti is the temperature data collected by the i-th temperature sensor, i=1, 2, ... n, n represents the number of temperature sensors; Step M1.2, extract the temperature setting value of the purifier; then subtract the temperature setting value from the actual temperature to obtain the temperature deviation value of the purifier, and mark it as TC; Step M1.3, adjust the opening of the steam valve according to the temperature deviation. The steam valve opening adjustment formula is: K1 = g × TC + K0; In the formula, K1 is the opening value of the steam valve after adjustment, g is the preset proportional coefficient, and K0 is the opening value of the steam valve before adjustment.

3. A photovoltaic ultra-white sand intelligent mineral processing control system according to claim 2, characterized in that: in, The proportionality coefficient g is also dynamically adjusted according to the temperature change rate, and the preset value set of g is {g1, g2, g3}.

4. A photovoltaic ultra-white sand intelligent mineral processing control system according to claim 3, characterized in that: The dynamic adjustment method is as follows: Select a specified period and divide it into m collection time nodes. Then extract the real-time temperature of the purifier at each collection time node and mark it as TP j , j = 1, 2, ... m; Then through: Calculate the temperature change rate TB within a specified period; In the formula, t0 is the time interval between two adjacent acquisition time nodes, and multiple acquisition time nodes are divided according to the t0 value; Then, the preset change rate threshold set {TB1y, TB2y} is extracted, and the temperature change rate TB is compared with the change rate threshold set {TB1y, TB2y}: If TB<TB1y, the value of g is g1; If TB1y≤TB≤TB2y, the value of g is g2; If TB>TB2y, the value of g is g3.

5. The photovoltaic ultra-white sand intelligent mineral processing control system according to claim 1 is characterized in that: The flow regulation analysis method is: StepM2.1, extract the current acid flow value and ore supply, and mark them as Q and M respectively, and then build a concentration calculation model based on L and M; The concentration calculation model is: In the formula, C is the solution concentration of ore and acid, and t1 is the monitoring time of acid flow; Step M2.2, extract the concentration setting values ​​of the ore and the acid solution, then combine them with the supply of the ore, substitute them into the concentration calculation model, and obtain the target flow value of the acid solution; The formula is as follows: In the formula, Q1 is the target flow rate of the acid solution, and C1 is the set concentration of the ore and the acid solution; Step M2.3, subtract the current flow value of the acid liquid from the flow target value of the acid liquid to obtain the acid liquid flow difference; Step M2.4, adjust the opening of the acid valve according to the acid flow difference. The opening adjustment formula of the acid valve is: D1 = f × (Q1-Q) + D0; Where D1 is the opening value of the acid valve after adjustment, (Q1-Q) is the acid flow difference, f is the preset proportional coefficient, and D0 is the opening value of the acid valve before adjustment.

6. The photovoltaic ultra-white sand intelligent mineral processing control system according to claim 1 is characterized in that: in, Temperature data is collected in real time through multiple temperature sensors installed on the inner wall of the purifier; flow value is collected in real time through an electromagnetic flowmeter installed on the acid pipeline; supply volume is measured by a weighing sensor configured on the feeder.

7. The photovoltaic ultra-white sand intelligent mineral processing control system according to claim 1 is characterized by: in, The steam valve is used to adjust the temperature. It adopts a pneumatic regulating valve and is installed on the steam supply main pipeline of the purifier; the acid valve is used to adjust the acid flow in real time. It adopts a pneumatic regulating valve and is installed on the conveying pipeline between the acid storage tank and the purifier.

8. A photovoltaic ultra-white sand intelligent mineral processing control system according to claim 7, characterized in that: The temperature control is implemented as follows: receiving the adjustment instruction for the steam valve opening from the data analysis unit, that is, the opening value of the steam valve after adjustment; the remote control unit drives the actuator of the steam valve to adjust the valve opening to the position corresponding to K1.

9. The photovoltaic ultra-white sand intelligent mineral processing control system according to claim 7 is characterized in that: The flow regulation is executed as follows: based on the acid valve opening adjustment result calculated by the data analysis unit, that is, the opening value of the acid valve after adjustment; the remote control unit controls the driving device of the acid valve to adjust the acid valve opening to the position corresponding to D1.

10. The photovoltaic ultra-white sand intelligent mineral processing control system according to claim 4 is characterized in that: The data analysis unit also determines the abnormality of the purification machine according to the temperature change rate within the specified period, and the specific method is as follows: The absolute value of the temperature change rate within the specified period is compared with the preset abnormal change rate threshold TBmax, and TBmax>TB2y; When |TB|≥TBmax, it is determined that the purification machine has abnormal temperature rise or temperature drop, and an equipment abnormality signal is generated; otherwise, no equipment abnormality signal is generated.

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