Dense medium automatic control system of intelligent coal preparation equipment

Abstract

The utility model provides a dense medium automatic control system of intelligent coal dressing equipment, which belongs to the technical field of coal dressing control, solves the problem that the existing coal dressing process cannot meet the requirements of high efficiency, accuracy and stable production, and comprises a high-accuracy sensing unit, a data acquisition center and an actuating mechanism which are arranged on the coal dressing equipment and are connected in sequence, the high-precision sensing unit comprises a density sensor, a magnetic substance content measuring instrument and a liquid level sensor, the data acquisition center comprises a central processing unit, the central processing unit is connected with a communication acquisition unit, an analog quantity acquisition unit and a switching value acquisition unit, and a PID (Proportion Integration Differentiation) control unit is arranged in the central processing unit; according to the utility model, the data acquisition center is used for acquiring data, and the PID control unit is used for analyzing and calculating the data, so that the working operation of the actuating mechanism is controlled more accurately, efficiently and stably.

Description

Technical Field

[0001] This utility model belongs to the field of coal preparation control technology, specifically relating to an intelligent coal preparation equipment heavy medium automatic control system. Background Technology

[0002] With economic development and the increasing demands for coal quality from industrial production, there is a need for more efficient and precise coal washing methods to remove impurities from coal, increase its calorific value, and reduce ash and sulfur content, in order to meet the stringent quality requirements of different industries. For example, the steel and chemical industries have significantly different quality requirements for coking coal and thermal coal, prompting coal washing plants to seek more advanced sorting technologies and control systems.

[0003] In the early heavy media control systems of coal washing plants, manual adjustment or simple instrument control methods were mostly used. These methods had problems such as long adjustment time, large density fluctuations, and significant human influence, resulting in unstable sorting effects, difficulty in guaranteeing product quality, high labor intensity, and low production efficiency. They could not meet the needs of large-scale and high-efficiency production. Therefore, a more advanced automatic control system was needed to replace the traditional control methods.

[0004] In modern coal preparation industry, heavy media coal preparation is a widely used and efficient separation method. Intelligent coal preparation plants in mines utilize heavy media cyclones to wash raw coal. During this process, the heavy media control device plays a decisive role in the media washing. Traditional coal preparation plants have simple separation processes that cannot separate the required fine coal, resulting in insufficient resource utilization and waste. Therefore, the fine separation of raw coal is urgently needed. Firstly, global coal resources are being overexploited and reserves are declining year by year. Secondly, previous technologies were not perfect enough to separate the required fine coal, leading to the waste of coal resources.

[0005] Meanwhile, traditional heavy media coal preparation control systems have many shortcomings. For example, they lack precision and intelligence in controlling key parameters such as the density, level, and coal slime content of the heavy media suspension. In density control, measurement errors or adjustment lags often lead to unstable separation results and large fluctuations in clean coal quality. Inaccurate level control can easily cause abnormal operation or even damage to the equipment. Improper control of coal slime content will affect the properties of the heavy media suspension, thereby reducing separation efficiency. Furthermore, traditional systems lack comprehensive data integration capabilities for the entire heavy media coal preparation process, making it difficult to achieve optimized decision-making and proactive maintenance of the coal preparation process, and thus failing to meet the demands of modern intelligent coal preparation plants for efficient, precise, and stable production. Utility Model Content

[0006] The purpose of this invention is to provide an intelligent coal preparation equipment heavy medium automatic control system to solve the problem that existing coal preparation processes cannot meet the requirements of efficient, accurate and stable production.

[0007] The technical solution of this utility model is: an intelligent coal preparation equipment heavy medium automatic control system, including a high-precision sensing unit, a data acquisition center and an actuator connected in sequence on the coal preparation equipment. The high-precision sensing unit includes a density sensor, a magnetic material content measuring instrument and a liquid level sensor. The data acquisition center includes a central processing unit, which is connected to a communication acquisition unit, an analog quantity acquisition unit and a digital quantity acquisition unit. The central processing unit is equipped with a PID control unit.

[0008] As a further improvement of this utility model, the actuator includes a variable frequency pump, a water supply valve, and a diversion box actuator.

[0009] As a further improvement of this utility model, the data acquisition center is connected to the local information center and the industrial cloud center respectively through a network switch.

[0010] As a further improvement of this utility model, the local information center includes a data storage server and a human-computer interaction unit.

[0011] The beneficial effects of this utility model are as follows: This utility model, through a data acquisition center in conjunction with a high-precision sensing unit, collects the density values, coal slime content values, and liquid level values ​​in the suspension tank after processing in the system. Based on the production requirements of the coal preparation plant and the characteristics of the coal, the suspension density value is set, and the deviation values ​​of the coal slime content and the liquid level in the heavy medium suspension tank are calculated by the PID control unit. Based on the calculated deviation values, the PID control unit drives the water supply valve and the flow divider actuator of the actuator to complete the corresponding density adjustment, coal slime content adjustment, and adaptive adjustment of the liquid level in the suspension tank.

[0012] This utility model, in accordance with relevant national standards and specifications, collects and converts electrical signals to reflect the operating status of key components in the intelligent coal preparation plant's heavy media automatic control system. Based on the extensive operating data collected from the coal preparation equipment, it analyzes and calculates the data using a PID control algorithm in the data acquisition center. This enables more precise, efficient, and stable control of the actuators. Simultaneously, through analysis and judgment from the local information center and the industrial cloud center, it monitors and analyzes the operation of the coal preparation heavy media automatic control system in real time, establishes a fault diagnosis model, and transmits the data to a storage server for storage, facilitating subsequent maintenance and repair. This intelligently controls the normal and efficient operation of various important parameters and supporting actuators in the coal preparation equipment's heavy media automatic control system, improving work efficiency and further achieving the goal of more demanding automated operations.

[0013] The main purpose of this invention is to address the insufficient precision and intelligence in the control of key parameters such as density, level, and coal slime content of heavy media suspensions in existing coal preparation plant heavy media control systems. This invention achieves high-precision, comprehensive monitoring and intelligent control of the heavy media control system in coal preparation plants, overcoming the following problems: In density control, measurement errors or adjustment lags often lead to unstable separation results and large fluctuations in clean coal quality; inaccurate level control can easily cause abnormal operation or even damage to equipment; improper control of coal slime content will affect the properties of the heavy media suspension, thereby reducing separation efficiency. Furthermore, traditional systems lack comprehensive data integration capabilities for the entire heavy media coal preparation process, making it difficult to achieve optimized decision-making and proactive maintenance of the coal preparation process, and failing to meet the demands of modern intelligent coal preparation plants for efficient, precise, and stable production. This invention achieves precise and intelligent control of the heavy media coal preparation process. Attached Figure Description

[0014] Figure 1 This is a diagram showing the system connection structure of this utility model.

[0015] In the diagram: 1-Data Acquisition Center; 11-PID Control Unit; 12-Communication Acquisition Unit; 13-Central Processing Unit; 14-Analog Acquisition Unit; 15-Digital Acquisition Unit; 2-High-Precision Sensing Unit; 21-Density Sensor; 22-Magnetic Material Content Measuring Instrument; 23-Liquid Level Sensor; 3-Actuator; 31-Variable Frequency Pump; 32-Water Supply Valve; 33-Diverter Actuator; 4-Network Switch; 5-Local Information Center; 51-Data Storage Server; 52-Human Machine Interaction Unit; 6-Industrial Cloud Center; 61-Industrial Remote Gateway. Detailed Implementation

[0016] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0017] like Figure 1 As shown, an intelligent coal preparation equipment heavy medium automatic control system includes a high-precision sensing unit 2, a data acquisition center 1, and an actuator 3 connected in sequence on the coal preparation equipment. The high-precision sensing unit 2 includes a density sensor 21, a magnetic material content measuring instrument 22, and a liquid level sensor 23. The data acquisition center 1 includes a central processing unit 13, which is connected to a communication acquisition unit 12, an analog quantity acquisition unit 14, and a digital quantity acquisition unit 15. The central processing unit 13 is equipped with a PID control unit 11.

[0018] The actuator 3 includes a variable frequency pump 31, a water supply valve 32, and a diversion box actuator 33. The data acquisition center 1 is connected to the local information center 5 and the industrial cloud center 6 via a network switch 4. The local information center 5 includes a data storage server 51 and a human-machine interaction unit 52.

[0019] The following provides further explanation of each unit involved in this system:

[0020] 1. High-precision sensing unit:

[0021] Employing a novel composite density sensor and leveraging the advantages of differential pressure measurement, this sensor ensures high measurement accuracy. It can accurately measure the density of heavy medium suspensions in real time, achieving a measurement accuracy of ±0.001 g / cm³. 3 .

[0022] The magnetic material content measuring instrument utilizes the principle that the phase of an alternating current pulse wave shifts as it passes through an inductor. The higher the content of ferromagnetic material flowing through the inductor, the greater the inductance and the greater the phase shift. The instrument then extracts, shapes, compensates for, and amplifies this phase shift to obtain the final measured value of the magnetic material content. The measurement accuracy is ±0.001 g / cm³. 3 .

[0023] The liquid level sensor adopts an ultrasonic level gauge and effectively eliminates interference factors such as foam and fluctuations in liquid level measurement through data fusion algorithm. It can accurately monitor the liquid level in the heavy medium separation equipment, and the measurement error is controlled within ±1cm.

[0024] The coal slime content is determined using an empirical formula, which can quickly and accurately measure the coal slime content in the suspension with a response time of less than 1 second and a calculation accuracy of ±0.1%.

[0025] 2. Intelligent control unit:

[0026] The PID control unit in the data acquisition center adopts an adaptive PID controller, the core of which is based on the Model Reference Adaptive Control (MRAC) algorithm. First, a reference model is established based on the physical model of the heavy medium coal preparation process and a large amount of historical data. This model describes the dynamic relationship between parameters such as the density, liquid level, and coal slime content of the heavy medium suspension under ideal conditions and control variables (such as the amount of medium added, the amount of water added, and the amount of sludge discharged).

[0027] In actual operation, the PID control unit compares the actual output of the system with the output of the reference model to obtain the deviation signal. Then, an adaptive algorithm dynamically adjusts the proportional coefficient (Kp), integral coefficient (Ki), and derivative coefficient (Kd) of the PID controller based on the deviation signal. For example, when the density deviation is large and changes rapidly, the adaptive algorithm increases Kp and Kd to improve the controller's response speed, allowing the density to quickly approach the set value; when the deviation is small, Ki is appropriately increased to reduce steady-state error and ensure that the density remains stable within the set range. This adaptive adjustment mechanism enables the PID controller to automatically adapt to factors such as changes in coal quality, equipment wear, and fluctuations in production conditions, maintaining good control performance at all times.

[0028] The intelligent PID control unit possesses fault self-diagnosis and fault-tolerant control functions. It establishes a fault diagnosis model by real-time monitoring and analysis of sensor data, controller output, and actuator status. For example, when the deviation of density sensor measurement data exceeds a set threshold and persists for a period of time, a density sensor fault is diagnosed; when the current of an actuator (such as a media addition pump) is abnormal or the feedback signal is lost, an actuator fault is identified. Once a fault is detected, the system immediately activates the fault-tolerant control strategy. For sensor faults, model-based predictive soft measurement technology is used, employing other relevant parameters and historical data to establish a mathematical model to estimate the measured value of the faulty sensor, ensuring the continuity of the control process. For actuator faults, the system automatically switches to a backup actuator or adjusts the control strategy, such as reducing the production load, to maintain basic system operation. Simultaneously, a fault alarm signal is issued to notify maintenance personnel for repairs, improving the system's reliability and availability.

[0029] This unit can also automatically adjust the control strategy according to different coal types and different production conditions in the coal preparation plant, continuously optimize the control effect, and improve the recovery rate and quality stability of clean coal.

[0030] 3. Data processing and communication unit:

[0031] The data processing and communication unit mainly consists of a local information center and an industrial cloud center. The local information center is equipped with a large-capacity data storage device, capable of storing long-term coal preparation production data, including sensor data, control data, and equipment operating status data. Data mining techniques are used to conduct in-depth analysis of this data, extracting valuable information such as the relationship between different coal types and optimal separation parameters, providing data support for the optimization of the heavy media coal preparation process.

[0032] The industrial cloud center utilizes high-speed industrial Ethernet communication technology via an industrial remote gateway to achieve seamless communication between control devices and other equipment in the coal preparation plant (such as filter presses and belt conveyors), thus constructing an intelligent network for the entire coal preparation plant. This communication unit features data encryption and error correction functions to ensure secure and reliable data transmission, with a communication rate of up to 100Mbps.

[0033] 4. Human-Computer Interaction Unit:

[0034] The human-machine interaction unit in the local information center is designed with an intuitive and user-friendly interface. Operators can use this interface to view various parameters and equipment operating status of the heavy media coal preparation system in real time, and perform manual control operations (in case of automatic control failure or special debugging). The interface can also display data trend charts, fault alarm information, etc., so that operators can have a comprehensive understanding of the system status.

[0035] The human-machine interface unit supports remote access. Through the Internet or the plant's local area network, managers and technicians can monitor and manage the heavy media automatic control device on a remote terminal, realizing the unmanned or minimally staffed operation mode of the coal preparation plant.

[0036] In the actual operation of the intelligent coal preparation plant, the intelligent density sensing module, liquid level sensor, and magnetic content measuring instrument of the high-precision sensing and detection unit measure density, liquid level, and magnetic content, and then calculate the coal slime content. These data are transmitted to the PID control unit through the high-speed Ethernet of the data acquisition center and network switch.

[0037] The intelligent PID control unit's adaptive PID controller calculates control commands, such as media addition, water replenishment, and sludge discharge, based on received data, a reference model, and an adaptive algorithm. During control, it ensures the coordination and stability of all parameters. Fault self-diagnosis and fault-tolerant control functions monitor the system status in real time, taking appropriate measures promptly in case of a fault.

[0038] PID control is a closed-loop control system. Its basic idea is to compare the system's output value with the set target value to obtain an error signal. This error signal is the input to the PID controller. Based on this error signal, the controller calculates and outputs a control signal to adjust the system's input, thereby making the system's output as close as possible to the target value. In this example, the heavy medium density is the setpoint, the actual measured density is the output value, and the difference between the two is the error signal.

[0039] Proportional (P) Control Section: Proportional control is the most intuitive part of the PID algorithm. Its output is proportional to the deviation signal, expressed by the formula: where is the output of the proportional control section, is the proportional gain, and is the deviation signal (the difference between the target value and the actual value). The larger the proportional gain, the more sensitive the system is to the deviation, but an excessively large gain may lead to system instability and oscillation.

[0040] Integral (I) Control Section: The integral control section is used to eliminate the steady-state error of the system. It performs an integral operation on the deviation signal, as shown in the formula: where is the output of the integral control section, and is the integral gain. The integral control continuously accumulates this deviation over time. After a period of time, the output of the integral control section will continuously increase, and this output will be added to the proportional control output, working together on the control input to gradually eliminate the steady-state error. However, if the integral control is not set properly, it may lead to a slower system response or integral saturation.

[0041] Differential (D) Control Section: The differential control section is mainly used to predict the changing trend of the system output and perform control in advance. It is the derivative of the deviation signal. If the target position is fixed, when the actual position of the system rapidly approaches the target position, the rate of change (derivative) of the deviation signal is large. The differential control section outputs a signal based on this rate of change, causing the system to decelerate in advance and avoid system overshoot (exceeding the target value). However, differential control is relatively sensitive to noise, as noise can also cause rapid changes in the deviation signal, so it needs to be handled carefully in practical applications.

[0042] The total output of a PID controller is the sum of the outputs of its proportional, integral, and derivative control components. This output signal acts on the controlled system, adjusting the system's input to make the system's output track the target value.

[0043] The data acquisition center utilizes a high-performance programmable logic controller (PLC) to build a data acquisition and processing center, configured with digital input acquisition units, analog input acquisition units, and communication data reading units for communication data retrieval. The specific configuration is as follows:

[0044] Controller (PID Control Unit): S7-1513-PN. CPU with display; working memory can store 300KB of code and 1.5MB of data; bit instruction execution time 40ns; 4-level protection mechanism; process functions: motion control, closed-loop control, counting and measurement; tracking function; operating system option; isochronous synchronization mode (centralized); compatible with all PROFINET interfaces: transmission protocol TCP / IP, open user secure communication, S7 communication, S7 routing, IP forwarding, web server, DNS client, OPC UA: server DA, client DA, methods, supporting specifications; PROFINET IO controller, supports RT / IRT, performance upgrade PROFINET V2.3, dual-port, intelligent device, supports MRP, MRPD, isochronous synchronization mode; firmware version V2.9.

[0045] Switch quantity acquisition unit: Configured with the switch quantity acquisition module (6ES7131-6BH01-0BA0) that is matched with the controller, to acquire information in the system at high speed.

[0046] Analog signal acquisition unit: The analog signal acquisition module (6ES7134-6GF00-0AA1) that is matched with the controller is used to acquire information in the system at high speed.

[0047] Communication Reading Unit: A large amount of operating data of coal washing plant supporting equipment can be read from the electrical control system through different communication methods. The controller itself integrates a Profinet interface, and the communication reading unit is an additionally configured communication interface, such as CM, PtP, RS422 / RS485, etc., to meet the data reading functions of different systems and intelligent devices.

[0048] The distributed data storage system of the data communication and processing unit records all production data, providing data support and optimization strategy basis for the intelligent PID control unit.

[0049] The operational data acquisition process targets analog signals generated during the operation of the heavy medium system and its supporting equipment in the intelligent coal preparation plant. These signals include: liquid level in the tank, density of the heavy medium, content of magnetic materials in the heavy medium, temperature of power devices, temperature of motors and bearings, etc. High-performance sensors are used for conversion and acquisition. The signals are then converted into 4-20mA or 0-20mA electrical signals by transmitters and sent to the analog acquisition unit in the data acquisition center.

[0050] For the switching signals generated during the operation of the heavy medium system and its supporting equipment in the intelligent coal preparation plant, such as the operating status of the mixing pump, the status of the stirring motor, the status of the belt conveyor, and the opening and closing status of the valves, reasonable electrical isolation is used in the switching signal acquisition unit of the data acquisition center for hard-wired acquisition.

[0051] Analysis and processing of runtime data

[0052] Changes in the percentage of coal slime content directly alter the density of the heavy media suspension. Coal slime density is typically lower than that of heavy media (such as magnetite powder). When the coal slime content increases, the overall density of the suspension decreases, assuming other conditions remain constant. If the initial suspension contains a low amount of coal slime and is primarily composed of heavy media and water, the increasing coal slime content may exceed the optimal density range required for heavy media separation, affecting the effective separation of clean coal and gangue. Therefore, the importance of controlling coal slime content in the heavy media system of an intelligent coal preparation plant is self-evident.

[0053] Data cloud processing center analysis

[0054] For signals that cannot be analyzed and statistically analyzed locally, they are transmitted in real time to the industrial cloud center via an industrial remote gateway for real-time data expert analysis. The corresponding calculation results are then sent back to the local information center for storage and visualized on the host computer.

[0055] The human-machine interface facilitates on-site monitoring and operation by personnel, while the remote monitoring and management system enables managers and technicians to remotely manage and control the heavy media coal preparation process in the coal preparation plant anytime and anywhere. This achieves efficient, precise, and intelligent automatic control of the heavy media coal preparation operation in the intelligent coal preparation plant, thereby improving the plant's production efficiency, product quality, and economic benefits.

[0056] Example 1

[0057] Device initialization: Before starting this heavy medium automatic control system, the system will perform self-checks on each unit to ensure that the equipment is running normally and the communication connection is normal. If there is a fault, an alarm will be issued and maintenance will be prompted. The central processing unit 13 will initialize the PID control unit 11 and the heavy medium control algorithm formula to ensure the correctness of the parameters in the device system and prevent data errors in the algorithm unit.

[0058] According to the production requirements and coal quality characteristics of the coal preparation plant, the manual interaction unit 52 inputs the density parameter ρu(t), the liquid level parameter Lu(t) in the heavy medium suspension tank, the specific gravity ρ1 of the heavy medium suspension magnetic powder, and the specific gravity ρ2 of the coal slime in the heavy medium suspension to the central processing unit 13. The analog quantity acquisition unit 14 collects the data corresponding to the density sensor 21, the magnetic material content measuring instrument 22, and the liquid level sensor 23, and transmits them to the central processing unit 13 for processing by the PID control unit 11. The liquid level in the heavy medium suspension tank also needs to be controlled to prevent the coal preparation quality in the system from being affected when the liquid level is too high or too low.

[0059] The formula for calculating the value OUT(i)1 after the i-th processing by density sensor 21 is as follows:

[0060]

[0061] Where: IN(i)1 is the i-th sampled value of the density sensor, MAX is the maximum value of the data processed by the acquisition unit, the default value of MAX is 27648, and MAX1 is the maximum value of the measurement range of the density sensor;

[0062] The value processed by the magnetic material content measuring instrument 22 is OUT(i)2. The calculation formula is as follows:

[0063]

[0064] Where: IN(i)2 is the sampled value of the magnetic material content measuring instrument, MAX is the maximum value of the data processed by the acquisition unit, the default value of MAX is 27648, and MAX2 is the maximum measurement range of the magnetic material content measuring instrument;

[0065] The value processed by the level sensor 23 is OUT(i)3. The calculation formula is as follows:

[0066]

[0067] Where: IN(i)3 is the sampled value of the liquid level sensor, MAX is the maximum value of the data processed by the acquisition unit, the default value of MAX is 27648, and MAX3 is the maximum value of the measurement range of the liquid level sensor;

[0068] After processing the collected data, the PID control unit 11 inputs set parameters to the PID control unit 11 based on the production requirements of the coal preparation plant and the coal quality characteristics, and calculates the coal slime content G and the coal slime content percentage x. The coal slime content G is in kg / L, and the calculation formula is as follows:

[0069]

[0070] In the formula: ρ is the density of the heavy medium suspension, ρ=OUT(i)1, the unit is kg / L, F is the content of heavy magnetic materials in the heavy medium suspension, F=OUT(i)2, the unit is kg / L, ρ1 is the specific gravity of heavy magnetic powder in the heavy medium suspension, and ρ2 is the specific gravity of coal slime in the heavy medium suspension;

[0071] The formula for calculating the percentage of coal slime content is as follows:

[0072]

[0073] In the formula: G is the coal slime content, and F is the magnetic content in the heavy medium suspension;

[0074] The PID control unit 11 determines whether the density value, coal slime content value, and liquid level value in the heavy medium suspension tank meet the adjustment conditions.

[0075] The formula for calculating the difference Δρ between the density feedback value ρy(t) and the density setpoint ρu(t) is as follows:

[0076] Δρ=ρu(t)-ρy(t)

[0077]

[0078] Where: θ1 is the density adjustment threshold;

[0079] The formula for calculating the difference Δx between the coal slime content feedback value xy(t) and the density given value xu(t) is as follows:

[0080] Δx = xu(t) - xy(t)

[0081]

[0082] Where: θ2 is the coal slime content adjustment threshold;

[0083] The formula for calculating the difference ΔL between the liquid level feedback value Ly(t) and the density setpoint Lu(t) in the heavy medium suspension tank is as follows:

[0084] ΔL=Lu(t)-Ly(t)

[0085]

[0086] Where: θ3 is the liquid level adjustment threshold in the heavy medium suspension tank, Lu(t) = OUT(i)3;

[0087] If the adjustment conditions for each difference in step three are met, actuator 3 will perform adaptive adjustment; otherwise, it will maintain the status quo.

[0088] In a PLC (Programmable Logic Controller), the PID control unit 11 uses the PID algorithm to calculate the output of the control quantity based on the deviation e(t) between the given value and the actual feedback value. The formula for calculating the deviation e(t) is as follows:

[0089] e(t) = r(t) - y(t)

[0090] In the formula: r(t) is the given value, and y(t) is the actual feedback value;

[0091] The adjustment is performed according to the following positional PID control algorithm. The output calculation formula of the positional PID algorithm is as follows:

[0092]

[0093] In the formula: u(t) is the output of the calculated control quantity, K p K is the proportionality coefficient. i K is the integral coefficient. d These are the differential coefficients;

[0094] The PID control unit 11 automatically tunes K according to the PID control algorithm. p K i K d The value of u(t) is used to determine whether the control system can adjust quickly and stably. The calculated u(t) value directly acts on the controlled object of actuator 3. That is, u(t) controls the opening of water supply valve 32 to adjust density and liquid level stably and quickly, and u(t) controls the opening of diversion box actuator 33 to adjust coal slime content stably and quickly. In this way, the heavy medium parameters are automatically controlled within a suitable range for coal preparation. After self-adjustment is completed, the system waits for the next sampling cycle and repeats the above control and adjustment steps.

[0095] All collected data is analyzed and processed in the central processing unit 13, then transmitted to the human-machine interface unit 52 for display. Early warnings and data records are generated, and intelligent fault diagnosis is performed. Through real-time monitoring and analysis of sensor data, controller outputs, and actuator status, a fault diagnosis model is established, and the data is transmitted to the data storage server 51. The host computer software in the local information center 5 automatically generates maintenance reports for customers to perform corresponding maintenance and repairs. For signals that cannot be analyzed and statistically processed locally in the local information center 5, data is transmitted in real-time to the industrial cloud center 6 via the industrial remote gateway 61 for real-time data expert analysis. The resulting calculations are then sent back to the local information center 5 for storage and visualized on the host computer, thus achieving precise and intelligent control of the heavy media coal preparation process. This system can not only be used in intelligent coal preparation plant heavy media control devices but can also be widely applied to other similar systems.

[0096] The above description is merely an embodiment of the automatic control device for heavy media in intelligent coal preparation plants applicable to this patent. It should be noted that, for those skilled in the art, other equivalent modifications and improvements can be made based on the technical inspiration provided by this patent, and these should also be considered within the scope of protection of this patent.

Claims

1. An automatic control system for heavy media in intelligent coal preparation equipment, characterized in that: The equipment includes a high-precision sensing unit (2), a data acquisition center (1), and an actuator (3) connected in sequence on the coal preparation equipment. The high-precision sensing unit (2) includes a density sensor (21), a magnetic material content measuring instrument (22), and a liquid level sensor (23). The data acquisition center (1) includes a central processing unit (13), which is connected to a communication acquisition unit (12), an analog quantity acquisition unit (14), and a digital quantity acquisition unit (15). The central processing unit (13) is equipped with a PID control unit (11).

2. The automatic control system for heavy media in an intelligent coal preparation equipment according to claim 1, characterized in that: The actuator (3) includes a variable frequency pump (31), a water supply valve (32), and a diversion box actuator (33).

3. The intelligent coal preparation equipment heavy medium automatic control system according to claim 1 or 2, characterized in that: The data acquisition center (1) is connected to the local information center (5) and the industrial cloud center (6) via a network switch (4).

4. The intelligent coal preparation equipment heavy medium automatic control system according to claim 3, characterized in that: The local information center (5) includes a data storage server (51) and a human-computer interaction unit (52).

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