Anti-blocking control method and device

Abstract

The present disclosure provides an anti-blocking control method and device, the method comprising: dividing the temperature control areas of the equipment by location and control level, and clustering each temperature control area according to structural parameters to obtain different control areas; collecting monitoring data of material properties and equipment walls, and calculating the material variation coefficient based on the material properties and the monitoring data, and updating the control level of each temperature control area according to the material variation coefficient if the material variation coefficient meets the trigger condition; switching the working mode of each control area according to the equipment status, and if the working mode is switched to the adjustment mode, outputting the vibration control adjustment matrix and temperature control adjustment matrix of each control area according to the anti-blocking level and control level of each temperature control area; controlling the vibration module according to the vibration control adjustment matrix, and controlling the heating module according to the temperature control adjustment matrix. Anti-blocking control is achieved by dual-mode collaboration through zoned temperature control and internal vibration, reducing maintenance costs and overall energy consumption.

Description

Technical Field

[0001] The present disclosure relates to the field of anti-blocking technology, and in particular to an anti-blocking control method and device. Background Art

[0002] At present, the unloading equipment is a key component connecting production equipment, and its smoothness directly affects the production efficiency and safety of the equipment. Most existing factories use cast iron equipment, but since wet materials are very easy to adhere to the inner wall and cause blockage, stopping the machine for cleaning will cause a decrease in efficiency. Although replacing equipment made of other materials such as ceramics can effectively solve the blockage problem, the existing cast iron equipment will be idle, resulting in a waste of resources, and the cost of replacing equipment is high. In order to solve the problem of wet material adhesion of traditional cast iron equipment, the existing anti-blocking technology mainly uses vibration anti-blocking and scraper clearing to clean the blocked materials of traditional equipment. However, the vibration anti-blocking technology generally uses the outer wall of the vibrating equipment, which makes it difficult for the vibration energy to penetrate the wet material adhesion layer, has high energy consumption, and may even cause structural fatigue. The scraper clearing technology can easily destroy the integrity of the material, and the mechanical scraper can also be easily wrapped by the wet material, causing jamming. Therefore, there is an urgent need to propose a low-cost, low-energy and high-efficiency anti-blocking control method and device to solve the deep adhesion problem of wet materials. Summary of the Invention

[0003] The present application provides an anti-blocking control method and device to solve problems such as deep adhesion of materials, high energy consumption of equipment, and low efficiency.

[0004] In a first aspect, the present disclosure provides an anti-blocking control method, the method comprising:

[0005] Based on the equipment structure parameters and historical blockage data, the equipment is divided into temperature control areas and control levels, and each temperature control area is clustered according to the structure parameters to obtain different control areas;

[0006] For each control area, a vibration module is arranged on the inner wall of the equipment, and heating modules are arranged on the outer wall of the equipment according to the location of the temperature control area;

[0007] Collect monitoring data of material properties and equipment wall surfaces, and calculate material variation coefficients based on the material properties and the monitoring data. If the material variation coefficients meet the trigger conditions, the control levels of the temperature control zones are updated based on the material variation coefficients.

[0008] Switch the working mode of each control area according to the equipment status. If the working mode is switched to the adjustment mode, determine the anti-blocking level of each temperature control area according to the monitoring data, and output the vibration control adjustment matrix and temperature control adjustment matrix of each control area according to the anti-blocking level and control level of each temperature control area;

[0009] The vibration module is controlled according to the vibration control adjustment matrix, and the heating module is controlled according to the temperature control adjustment matrix.

[0010] According to an anti-clogging control method provided by the present disclosure, the material properties include humidity and particle size, and the material variation coefficient is calculated based on the material properties and the monitoring data, including: calculating the consistency coefficient based on the humidity; calculating the flow coefficient based on the particle size; calculating the average flow velocity and shear rate based on the monitoring data; and calculating the multi-parameter variation coefficient based on the consistency coefficient, flow coefficient, average flow velocity and shear rate.

[0011] According to an anti-blocking control method provided by the present disclosure, the monitoring data includes the real-time value of the flow rate, the device status includes the start state, the ongoing state and the stop state, and determining the device status specifically includes: when the real-time value of the flow rate is detected to increase from zero, it is determined that the device is in the start state; when the real-time value of the flow rate is detected to be continuously non-zero, it is determined that the device is in the ongoing state; when the real-time value of the flow rate is detected to drop from a non-zero value to zero, it is determined that the device is in the stop state.

[0012] According to an anti-blocking control method provided by the present disclosure, the working mode also includes: a basic mode or a maintenance mode, and the working mode of each control area is switched according to the equipment status, including: if the equipment status is a start state, the control working mode is the basic mode; if the equipment status is switched from the start state to the ongoing state, the control working mode is switched from the basic mode to the adjustment mode; if the equipment status is switched from the ongoing state to the stop state, the control working mode is switched from the adjustment mode to the maintenance mode.

[0013] According to an anti-blocking control method provided by the present disclosure, if the working mode is switched to the basic mode, the vibration control adjustment matrix of each control area is output according to the basic value of the vibration control parameter, and the temperature control adjustment matrix of each control area is output according to the basic value of the temperature control parameter; if the working mode is switched to the maintenance mode, the vibration control adjustment matrix of each control area is output according to the full-frequency value of the vibration control parameter, and the temperature control adjustment matrix of each control area is output according to the constant temperature value of the temperature control parameter.

[0014] According to an anti-blocking control method provided by the present disclosure, the monitoring data also includes real-time values ​​of temperature and pressure. The anti-blocking level of each temperature-controlled area is judged based on the monitoring data, including: constructing a multidimensional feature vector for the real-time values ​​of temperature, pressure and flow rate in any temperature-controlled area; inputting the multidimensional feature vector into a preset anti-blocking level judgment model to obtain the anti-blocking level of the temperature-controlled area, and the anti-blocking level is divided into at least three levels: primary anti-blocking, secondary anti-blocking, and tertiary anti-blocking.

[0015] According to an anti-blocking control method provided by the present disclosure, the vibration control adjustment matrix and the temperature control adjustment matrix of each control area are output according to the anti-blocking level and control level of each temperature control area, including: for each control area, a control coefficient matrix of the control area is determined according to the anti-blocking level and control level of the temperature control area within each control area, and the size of the control coefficient matrix is ​​determined according to the number of temperature control areas within the control area; the vibration control adjustment matrix and the temperature control adjustment matrix of each control area are output according to the control coefficient matrix; wherein the vibration control adjustment matrix is ​​a matrix of vibration control parameter target values ​​of each control area, and the vibration control parameters include: vibration frequency, vibration duration and vibration interval; the temperature control adjustment matrix is ​​a matrix of temperature control parameter target values ​​of each control area, and the temperature control parameters include: heating temperature and heating duration.

[0016] According to an anti-blocking control method provided in the present disclosure, the vibration module includes a metal movable plate and a vibration motor, the metal movable plate is installed on the inner wall of the equipment and is fixedly connected to the vibration motor on the outer wall, and the heating module includes an electric heating plate, which is attached to the outer wall of the equipment.

[0017] In a second aspect, the present disclosure further provides an anti-blocking control device, comprising:

[0018] The division module is used to divide the location and control level of the temperature control area of ​​the equipment according to the equipment structure parameters and historical blockage data, and cluster each temperature control area according to the structure parameters to obtain different control areas;

[0019] A setting module is used to arrange a vibration module on the inner wall of the equipment for each control area, and to arrange heating modules on the outer wall of the equipment according to the location of the temperature control area;

[0020] An acquisition module is used to collect monitoring data of material properties and equipment walls, and calculate a material variation coefficient based on the material properties and the monitoring data. If the material variation coefficient meets a trigger condition, the control level of each temperature control zone is updated according to the material variation coefficient;

[0021] The control module is used to collect monitoring data of material properties and equipment walls, and calculate the material variation coefficient based on the material properties and the monitoring data. If the material variation coefficient meets the trigger condition, the control level of each temperature control area is updated according to the material variation coefficient; the vibration module is controlled according to the vibration control adjustment matrix, and the heating module is controlled according to the temperature control adjustment matrix.

[0022] According to an anti-blocking control device provided in the present disclosure, the vibration module includes a metal movable plate and a vibration motor, the metal movable plate is installed on the inner wall of the equipment and is fixedly connected to the vibration motor on the outer wall, and the heating module includes an electric heating plate, which is attached to the outer wall of the equipment.

[0023] In summary, the present disclosure provides an anti-blocking control method and device, which realizes zoned temperature control and vibration by dividing the equipment space into temperature control areas and clustering the control areas, and at the same time, timely updates the control level of the temperature control area in combination with the changes in material properties to achieve accurate division of the temperature control area, and realizes the transition from extensive overall processing to precise zoned management and control; for the divided temperature control areas and control areas, metal movable plates are installed on the inner wall of the equipment, and heating modules are installed on the outer wall of the equipment to realize zoned temperature control and zoned vibration control, and the anti-blocking efficiency is significantly improved through the dual-mode collaboration of heating drying and vibration stripping; in addition, the heating module and the vibration module can be disassembled and replaced independently without stopping the entire equipment for maintenance, reducing the maintenance trial and error cost, and greatly reducing the maintenance cost and maintenance time; by detecting the equipment status, the basic mode, adjustment mode or maintenance mode can be switched in time according to the equipment status to avoid excessive heating or vibration of the equipment during the start or stop stage, causing energy waste, thereby realizing anti-blocking control with high efficiency, low cost and low energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the present disclosure or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0025] Figure 1 It is a flow chart of an anti-blocking control method provided by the present disclosure;

[0026] Figure 2 This is a flow chart of a method for controlling the working mode of each control area according to the device status provided by the present disclosure;

[0027] Figure 3 This is a flow chart of determining the anti-blocking level of each temperature control area according to the monitoring data provided by the present disclosure;

[0028] Figure 4 It is a structural schematic diagram of an anti-blocking control device provided by the present invention. DETAILED DESCRIPTION

[0029] To make the objectives, technical solutions, and advantages of this disclosure more clear, the technical solutions of this disclosure will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this disclosure, not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of this disclosure without creative effort shall fall within the scope of protection of this disclosure.

[0030] Figure 1 This is a flow chart of an anti-blocking control method provided by the present disclosure; see Figure 1 , the method comprising:

[0031] Step S11 , dividing the temperature control areas of the equipment into locations and control levels according to the equipment structural parameters and historical blockage data, and clustering the temperature control areas according to the structural parameters to obtain different control areas.

[0032] Specifically, it is understood that the device connects equipment between production equipment, such as equipment with multiple inlets and a single outlet. When a blockage occurs in the equipment, manual clearing is generally performed through a window reserved in the equipment. Vibration anti-blocking technology clears the blockage by applying a vibrating force to the outer wall of the equipment, causing the sticky material on the inner wall to vibrate. Moreover, the location and frequency of blockages vary depending on the structure of different equipment. For example, a large amount of material accumulation near the equipment inlet may require a higher temperature to dry and harden the material, while the material near the equipment outlet is partially dried and only requires a low temperature to maintain. Therefore, to avoid the problems of traditional overall heating that lead to local overheating and energy waste or insufficient local heating, the present disclosure takes into account the equipment's structural parameters and historical blockage data when preventing equipment blockage. By dividing the equipment space into temperature control zones and control levels, with different control levels corresponding to different blockage probabilities, different temperatures are applied to the multiple divided zones to heat the sticky material. This allows the equipment to adjust the temperature differently according to the actual situation of the sticky material, thereby achieving low-energy and high-precision anti-blocking control.

[0033] Among them, the equipment structure parameters include: the position of key components, the material flow path, and the key components refer to some key components in the equipment, such as the inlet, outlet, elbow or the sudden change of pipe diameter; the historical blockage data refers to the relevant data of the blockage record when the equipment was used before the anti-blocking control method provided by the present invention was adopted. The historical blockage data includes: the location and number of historical blockages, as well as the temperature, flow rate, pressure and other parameters around the blockage location.

[0034] In some embodiments, the location division and control level division of the temperature control area of ​​the equipment according to the equipment structural parameters and historical blockage data specifically includes the following steps:

[0035] Step S111a: establish a three-dimensional coordinate system for the equipment, and mark the center points of the regions according to the positions of the key components and the positions of the non-vertical paths in the material flow path.

[0036] Specifically, key parts of the equipment, such as the material inlet, material outlet, and elbows, are marked. Vertical sections are less susceptible to clogging due to gravity, while inclined sections are prone to clogging. Therefore, the locations of inclined sections within the material flow path within the equipment are marked. The equipment coordinate system can be constructed with the material outlet as the origin, the Z axis being the direction opposite to the direction of material outflow from the outlet, and the X and Y axes being located on a horizontal plane. Alternatively, the equipment coordinate system can be constructed with the center of the equipment as the origin, although this disclosure does not limit this.

[0037] In step S112a, the radius of each area is calculated based on the historical congestion data with the center point of each area as the center of the circle, and a preliminary division is performed based on the radius of each area. At the same time, combined with the temperature data around the congestion location in the historical congestion data, adjacent areas with a temperature difference exceeding the first threshold are divided into different temperature control areas, and finally the position of each temperature control area is obtained.

[0038] Specifically, the radius of each area is calculated based on historical congestion data, and the area is preliminarily divided with the center point of each area as the center of the circle and the radius of each area; the preliminarily divided area can be circular, such as dividing the area into circular areas with the radius of each area as the radius of the circle; the preliminarily divided area can also be square, such as dividing the area into square areas with twice the radius of each area as the side length of the square; the preliminarily divided area can also be other shapes, which is not limited by the present disclosure. At the same time, combined with the temperature data around the congestion location of the historical congestion data, the temperature difference between adjacent positions is calculated, and the adjacent positions with a temperature difference exceeding the preset first threshold are divided into different temperature control areas, and finally the position of each temperature control area is obtained. The preset first threshold is set according to actual needs, which can be 5°C or other values, which is not limited by the present disclosure.

[0039] Among them, the radius of each area can be calculated according to the radius formula, which is: radius = characteristic coefficient × (1 + ln (1 + number of times)), the number of times is determined according to historical blockage data, and the characteristic coefficient is determined according to the position of the key component and the position of the non-vertical path in the material flow path. Different positions correspond to different characteristic coefficients, which are generally set according to empirical values. For example, the characteristic coefficient at the elbow is 0.8.

[0040] Step S113a: For each temperature control area, determine the control level according to the historical congestion data.

[0041] Among them, the control levels include at least: key, secondary key, and regular; the key level means that the area is more likely to be congested, and it needs to be paid special attention to in terms of the importance of anti-congestion control; the secondary key level means that the area is relatively more likely to be congested, and is second only to the key level in terms of the importance of anti-congestion control; the regular level means that the area is less likely to be congested, and is relatively ordinary in terms of the importance of anti-congestion control.

[0042] Specifically, the control level can be determined based on historical congestion data. For example, the control level of the temperature control area with a historical congestion number greater than or equal to the preset second threshold is marked as key, and the control level of the temperature control area with a historical congestion number greater than zero and less than the preset second threshold is marked as secondary key, otherwise it is marked as regular, wherein the preset second threshold is generally 5 times, and can also be adjusted according to actual conditions. The present disclosure does not limit this. The control level can be determined based on historical congestion data. It can also be that the historical congestion frequency is first calculated based on the historical congestion number, and then mapped to a three-dimensional coordinate system based on different congestion frequencies, and the congestion probability distribution density in each temperature control area is given to determine the control level of the temperature control area. The present disclosure does not limit this.

[0043] In other embodiments, the location division and control level division of the temperature control area of ​​the equipment according to the equipment structural parameters and historical blockage data specifically includes the following steps:

[0044] Step S111b, constructing a spatial grid matrix for the equipment, and calculating the position coefficient, temperature gradient, and pressure gradient of each grid based on the equipment structural parameters and historical blockage data;

[0045] Specifically, the spatial grid matrix covers the surface of the equipment; the position coefficient corresponding to each grid is determined according to the overlapping relationship between the key component position, the material flow path and the spatial grid matrix in the equipment structure parameters, for example, the position coefficient of the grid corresponding to the key component position is assigned to 6, the position coefficient of the grid corresponding to the non-vertical path in the material flow path is assigned to 4, and the position coefficient of the grid corresponding to the key component and the non-vertical path is assigned to 10; the temperature value of each grid node is obtained according to the historical blockage data, and the temperature gradient of each grid is calculated by the differential method; the pressure value of each grid node is obtained according to the historical blockage data, and the pressure gradient of each grid is calculated by the differential method. Other algorithms can also be used to calculate the temperature gradient and pressure gradient, and the present disclosure does not limit this.

[0046] Step S112b, calculating the risk value of each grid according to the position coefficient, temperature gradient, and pressure gradient of each grid;

[0047] Specifically, the risk value of each grid is calculated according to the risk value formula. The risk value formula is:

[0048] Risk value = ∑(w1×location coefficient+w2×temperature gradient+w3×pressure gradient)

[0049] Among them, w1, w2 and w3 are the weights of the position coefficient, temperature gradient and pressure gradient. Generally, w1 is 0.5, w2 is 0.2, and w3 is 0.3. The values ​​of w1, w2 and w3 can be adjusted according to the degree of influence of position, temperature and pressure, or can be set according to operational requirements. The values ​​of w1, w2 and w3 for different equipment can be the same or different, and this disclosure does not limit this.

[0050] Step S113b, dividing the continuous grid into an independent temperature control area according to the risk value and risk threshold of each grid and determining the control level of the temperature control area;

[0051] Specifically, the risk threshold can be one threshold or two thresholds, and the present disclosure does not limit this. In order to control the temperature more accurately, the first risk threshold and the second risk threshold are adopted in the embodiment provided by the present disclosure, and the first risk threshold and the second risk threshold are set according to the experience value. The control level of the temperature control area with a risk value greater than or equal to the first risk threshold is classified as key, the control level of the temperature control area with a risk value less than the first risk threshold and greater than the second risk threshold is classified as secondary key, and the control level of the temperature control area with a risk value less than or equal to the second risk threshold is classified as regular.

[0052] Specifically, it can also be understood that zone temperature control is achieved by dividing the equipment space into temperature control areas, and in order to enable the material to quickly fall off the equipment wall after heating, the anti-blocking control proposed in the present disclosure is to set a vibration module on the inner wall, but the energy consumption of a single vibration module to drive the vibration of the entire equipment is relatively high, and due to the complex structure of the equipment, only a single vibration module cannot cover the entire inner wall of the equipment, and too many vibration modules cause certain difficulties for the maintenance or replacement of the vibration modules. Therefore, in order to achieve the vibration effect on the material with low energy consumption and low cost, it is also necessary to cluster the temperature control areas to obtain different control areas. Each control area can correspond to one temperature control area, two temperature control areas, or multiple temperature control areas.

[0053] In some embodiments, clustering the temperature control areas to obtain different control areas may be performed by clustering the temperature control areas according to structural parameters to obtain different control areas. Clustering the temperature control areas according to structural parameters to obtain different control areas specifically includes the following steps:

[0054] Step S114a: Divide the control plane of the device according to the device structure parameters.

[0055] Specifically, the device structural parameters also include the shape of the device surface and the surface inclination angle. The control surface of the device is divided according to the device structural parameters. It can be that each surface of the device with a constant inclination angle is divided into a separate control surface according to the shape of the device surface and the surface inclination angle. For example, if the entrance of the device is an inclined cuboid, each side of the four sides of the cuboid can be considered as a control surface.

[0056] In step S115a, for each control surface, each control surface is subdivided according to the control level of the temperature control area within each control surface to obtain different control areas.

[0057] Specifically, if there is no temperature control area in any control surface, it is considered that there is no control area in the control surface; if there are multiple temperature control areas of the same or different control levels in any control surface, the control surface needs to be further divided according to the control level. For example, if the control level of adjacent temperature control areas in any control surface is key or secondary key, then the continuous temperature control area composed of adjacent temperature control areas with key or secondary key control levels in the control surface is determined as one control area; for another example, if there is a temperature control area with a control level of key or secondary key in any control surface and the control level of its adjacent temperature control area is normal, then the temperature control area with a control level of key or secondary key is separately determined as one control area; for another example, if the control level of adjacent temperature control areas in any control surface is normal, then the continuous temperature control area composed of adjacent temperature control areas with a control level of normal in the control surface is determined as one control area.

[0058] In the above method, multiple factors such as material properties, equipment energy consumption, replacement or maintenance costs are comprehensively considered. By combining equipment structural parameters and historical blockage data, the equipment space is divided into multiple temperature control areas, and the multiple temperature control areas are further clustered to obtain at least one control area, realizing zoned temperature control and zoned vibration control, and realizing the upgrade from extensive overall processing to precise zoned control.

[0059] In step S12, for each control area, a vibration module is arranged on the inner wall of the device, and heating modules are arranged on the outer wall of the device according to the position of the temperature control area.

[0060] Specifically, it can be understood that to achieve dual-module coordinated anti-blocking control, vibration modules are installed on the inner wall of the device and heating modules are installed on the outer wall. The number of vibration modules is determined by the number of control zones, and the number of heating modules is determined by the number of temperature-controlled zones. For each control zone, the number of heating modules installed on its outer wall generally depends on the number of temperature-controlled zones within that control zone.

[0061] The vibration module includes a metal movable plate and a vibration motor. The metal movable plate is made of corrosion-resistant stainless steel and is an active steel plate with a wear-resistant coating sprayed on the surface. The thickness is generally 5-8 mm. The metal movable plate can be a flat steel plate that matches the curvature of the inner wall of the device, or a bent steel plate with folding wings on both sides. This disclosure does not limit this. The vibration motor is installed on the outer wall of the device. The vibration motor generally uses a high-frequency vibration motor, such as a vibration motor with a power of 0.5-1.5 kW and a vibration frequency that is continuously adjustable at 50-100 Hz.

[0062] The metal movable plate is installed on the inner wall of the equipment and is fixedly connected to the vibration motor on the outer wall. The fixed connection method can be bolt connection, which is convenient for replacing the movable plate. The fixed connection method can also be welding. The welding method is more stable than the bolt connection but requires re-welding when replaced. The present disclosure does not make any special restrictions on this.

[0063] The heating module includes an electric heating plate, which is attached to the outer wall of the device. The electric heating plate is generally a flexible silicone heating plate with a temperature resistance range of -40~200°C. The electric heating plate is attached to the outer wall of the device, which means that the electric heating plate is attached to the outer wall of the device and fixed with thermally conductive adhesive. This fixing method facilitates the heat transfer of the electric heating plate from the outer wall of the device to the inner wall of the device, and is easy to inspect and replace the electric heating plate. After being fixed with thermally conductive adhesive, it will not be affected by the vibration of the vibration module and can be firmly attached to the outer wall of the device.

[0064] It should be noted that for some special control areas, such as the control levels of temperature control in the control areas, all are conventional control areas. Since the possibility of blockage in such areas is extremely small and it can even be considered that no blockage will occur, for such control areas, only a heating module can be set to clean the materials stuck on the inner wall through intermittent short-term heating; or only a vibration module can be set to clean the materials stuck on the inner wall through intermittent short-term low-frequency vibration; or the heating module and the vibration module can be omitted to avoid wasting excessive energy.

[0065] In the above method, a heating module is installed on the outer wall of each temperature control area, so that the electric heating plate can be controlled in different areas, and only the areas where materials are prone to adhesion can be heated, thereby reducing overall energy consumption. A vibration module is installed on the inner wall of each control area, and a vibration motor drives the metal flap to generate high-frequency lateral vibrations. The vibration energy is transmitted through the flap to the material adhesion layer on the flap surface, causing the adhered material to be peeled off from the flap surface. At the same time, the internal vibration of the vibration module has little effect on the main structure of the equipment, which can extend the life of the equipment. In addition, the heating module and the vibration module can be disassembled and replaced independently without shutting down the entire equipment for maintenance, which reduces the cost of trial and error in maintenance and greatly reduces maintenance costs and maintenance time.

[0066] Step S13, collecting monitoring data of material properties and equipment wall, and calculating material variation coefficient according to the material properties, and updating the control level of each temperature control area according to the material variation coefficient if the material variation coefficient meets the trigger condition.

[0067] Specifically, it can be understood that the material properties include humidity and particle size, humidity refers to the water content of the material, which is generally collected by a humidity sensor; particle size refers to the size of the particles in the material, which is generally collected by a particle size analyzer; in order to obtain changes in material properties in advance, the humidity sensor and the particle size analyzer can be installed in the previous process flow before the material enters the equipment, such as near the conveyor belt in front of the equipment entrance, and the humidity sensor and the particle size analyzer can also be installed near the entrance of the equipment, and the present disclosure does not limit this.

[0068] The device wall monitoring data refers to data such as pressure and flow rate monitored on the inner wall of the device and temperature monitored on the outer wall. In other words, the monitoring data includes at least real-time values ​​of temperature, pressure, and flow rate. The monitoring data can be collected in real time or at intervals, such as every three seconds, although this disclosure does not limit this.

[0069] Among them, temperature refers to the wall temperature of the outer wall of the equipment, which is collected by temperature sensors. Each temperature sensor is set in each temperature control area and embedded in the electric heating plate of each temperature control area. The temperature sensor can be a PT100 platinum resistance sensor or a temperature sensor. This disclosure does not limit this.

[0070] Pressure refers to the material pressure exerted on the inner wall of the equipment or on the material pressure exerted on the flap installed on the inner wall of the equipment. Wall pressure is generally measured using a pressure sensor installed in each temperature-controlled zone. The pressure sensor can be an ultrasonic probe or other type of pressure sensor, and this disclosure does not limit this. If the pressure sensor can be an ultrasonic probe, the ultrasonic probe can be installed on the inner wall to detect the material pressure exerted on the inner wall, and the ultrasonic probe can be installed on the side of the flap closest to the inner wall to detect the material pressure exerted on the flap. Because adhered material delays the echo and weakens the signal, the ultrasonic probe can transmit a pulse and analyze the echo time / intensity to determine the material pressure exerted on the wall and the material adhesion thickness.

[0071] Flow rate refers to the speed at which material flows within a device, such as the material flow rate at the inlet or outlet. On the one hand, the total amount and time required to transport different materials, or the same material, can vary, and the actual material flow rate will naturally also vary. On the other hand, material adhesion to the inner wall can reduce the effective inner diameter of the pipe, causing the inner wall surface to become rough and form irregular protrusions, thus causing the material flow rate to change. Generally, flow rate is measured using an ultrasonic flow meter, which can be mounted on the outer wall of the device or elsewhere, and this disclosure does not limit this.

[0072] In some embodiments, when the metal movable plate and the vibration motor are fixedly connected with bolts, the monitoring data includes the vibration frequency, which is collected by a vibration accelerometer. The vibration accelerometer is installed on the metal movable plate of the vibration module to detect whether the metal movable plate vibrates according to the control parameters to avoid invalid vibration of the vibration motor when the bolts are loose.

[0073] In other embodiments, in order to avoid the inability to implement anti-blocking control due to a malfunction of the heating module or the vibration module, the present disclosure may also monitor the heating module and the vibration module to determine whether a malfunction has occurred. Therefore, the monitoring data also includes parameters such as the current of the vibration motor and the resistance of the electric heating plate. When the current parameter of the vibration motor is abnormal, it indicates that the vibration motor may have failed, and when the resistance parameter of the electric heating plate is abnormal, it indicates that the electric heating plate may have failed. When an abnormality is detected in the current of the vibration motor, the resistance of the electric heating plate, and other parameters, an alarm mechanism may be triggered to remind the staff to check or replace the heating module or the vibration module.

[0074] Specifically, it can also be understood that the humidity, particle size and flow rate of different materials in the equipment are all different, and the degree of adhesion of materials with different humidity, particle size or flow rate to the inner wall of the equipment is also different. Therefore, in order to more accurately divide the control level of the temperature control area, further analysis is needed in combination with the properties of the material.

[0075] The material properties include humidity and particle size, and the material variation coefficient includes a single-parameter material variation coefficient and a multi-parameter material variation coefficient.

[0076] In some embodiments, the material variation coefficient is a single-parameter material variation coefficient, and the single-parameter material variation coefficient can be a humidity variation, a particle size variation, or a flow rate variation. Calculating the material variation coefficient based on the material properties and the monitoring data includes: calculating the single-parameter material variation coefficient based on the material properties and the monitoring data. When the material variation coefficient meets the trigger condition, it includes: the single-parameter material variation coefficient meets the first trigger condition, for example, the humidity variation>10%; or, the particle size variation>20μm; or, the flow rate variation>15%, where the particle size variation refers to the instantaneous increase in D90 in the particle size.

[0077] In other embodiments, the material variation coefficient is a multi-parameter variation coefficient, and the calculation of the material variation coefficient based on the material properties and the monitoring data includes:

[0078] Step S131, calculating the consistency coefficient according to the humidity;

[0079] Specifically, the consistency coefficient is calculated according to the exponential fitting formula of humidity, and the exponential fitting formula of humidity is: consistency coefficient = base consistency * e^(2.3 * humidity), wherein the value of the base consistency is determined according to the material type. For example, when the material is iron ore slurry, the base consistency is 0.92, and when the material is copper ore slurry, the base consistency is 2.35.

[0080] Step S132, calculating the flow coefficient according to the particle size;

[0081] Specifically, the flow coefficient is calculated according to the fitting formula of the particle size, and the linear fitting formula of the particle size is: flow coefficient = reference flow index + 0.02*(D90-D10), wherein the reference flow index ranges from 0.3 to 0.8, D90 is the distribution percentage of particles with a particle size of D90 measured by a particle size analyzer, and D10 is the distribution percentage of particles with a particle size of D10 measured by a particle size analyzer.

[0082] Step S133, calculating the average flow velocity and shear rate based on the monitoring data;

[0083] Specifically, the average flow velocity refers to the average value of the flow velocity of the collected material; the shear rate is an important parameter used to describe the flow state of the material under shear action. The pipeline flow velocity gradient can be calculated based on the flow velocity of the material and the diameter of the equipment pipeline, and the shear rate can be calculated based on the pipeline flow velocity gradient.

[0084] Step S134, calculating the multi-parameter variation coefficient according to the consistency coefficient, flow coefficient, average flow velocity and shear rate.

[0085] Specifically, the multi-parameter variation coefficient is calculated according to the first formula, which is:

[0086]

[0087] Among them, the consistency coefficient is calculated by step S131, the flow coefficient is calculated by step S132, the average flow velocity and shear rate are calculated by step S133, the material density is measured by a densitometer, the material stress is measured by an online rheometer, and the pipeline factor is determined according to the shape of the equipment pipeline. For example, when the equipment pipeline is a rectangular pipeline, f is 0.88, and when the equipment pipeline is a circular pipeline, f is 1.

[0088] Specifically, it can also be understood that after calculating the material variation coefficient, the relationship between the material variation and the threshold is judged. When the material variation coefficient meets the trigger condition, it can be that the single-parameter material variation coefficient meets the first trigger condition, or it can be that the multi-parameter material variation coefficient meets the second trigger condition.

[0089] In some embodiments, the material variation coefficient is a single-parameter material variation coefficient, which may be a humidity change, a particle size change, or a flow rate change. Updating the control level of each temperature-controlled zone based on the material variation coefficient includes: updating the control level of each temperature-controlled zone based on the humidity change, the particle size change, or the flow rate change and a preset first update rule; the first update rule includes a rule for updating the control level from normal to secondary priority, a rule for updating the control level from secondary priority to priority, and a rule for updating the control level from priority to secondary priority, etc. For example, if the single-parameter material variation coefficient satisfies the first trigger condition, it means that the single-parameter material variation coefficient is greater than 0.25. In this case, when the single-parameter material variation coefficient falls within the interval [0.25, 0.4], the control level of a temperature-controlled zone with a normal control level needs to be updated from normal to secondary priority; and when the single-parameter material variation coefficient falls within the interval (0.4, 1]), the control level of a temperature-controlled zone with a secondary control level needs to be updated from secondary priority to priority.

[0090] In other embodiments, the material variation coefficient is a multi-parameter material variation coefficient, and the control level of each temperature control area is updated according to the material variation coefficient, including: updating the control level of each temperature control area according to the multi-parameter material variation coefficient and a preset second update rule; the second update rule at least includes a rule for updating the control level from normal to secondary key or from secondary key to primary. For example, the multi-parameter material variation coefficient meeting the second trigger condition means that the multi-parameter material variation coefficient is less than 3000. At this time, when the multi-parameter material variation coefficient is greater than or equal to 1200, the control level of the temperature control area with a normal control level needs to be updated from normal to secondary key; when the multi-parameter material variation coefficient is less than 1200, the control level of the temperature control area with a secondary control level needs to be updated from secondary key to primary.

[0091] In the above method, monitoring data of material properties and equipment walls are collected in real time to obtain information such as temperature, pressure and flow rate generated on the inner wall after the material enters the equipment; the material change coefficient of the reaction material property change is calculated based on the collected material properties, and when the material properties change significantly, the control level of the temperature control area is updated according to the material properties to achieve precise zoning control of the equipment.

[0092] Step S14: Switch the working mode of each control area according to the equipment status. If the working mode is switched to the adjustment mode, determine the anti-blocking level of each temperature control area according to the monitoring data, and output the vibration control adjustment matrix and temperature control adjustment matrix of each control area according to the anti-blocking level and control level of each temperature control area.

[0093] Specifically, it can be understood that the material adhesion conditions in the equipment are different when the equipment is in different states. Therefore, the heating module or vibration module in different equipment states requires different heating temperatures or vibration frequencies. In order to realize automatic detection and intelligent control of equipment anti-blocking, it is necessary to automatically adjust the control parameters such as heating temperature or vibration frequency through automatic adjustment mode. For example, first determine whether the equipment state is in the start, progress or stop state based on the collected monitoring data, and then switch the working mode according to the equipment state, and set an adjustment mode working mode to realize automatic detection and automatic control of anti-blocking according to the material adhesion condition.

[0094] The device status includes a start state, an ongoing state, and a stop state. The start state refers to the state when the device starts to enter the material, that is, the flow rate value of a certain temperature-controlled area is detected to increase from zero within a period of time. For example, if the real-time value of the flow rate detected at the entrance increases from zero, it is considered that the material has just started to enter the device at this time. The ongoing state refers to the state in which the device stably enters the material, that is, the flow rate is continuously non-zero for a period of time. The stop state refers to the state in which the device stops entering the material. Determining the device status specifically includes: when the real-time value of the flow rate is detected to increase from zero, it is determined that the device is in the start state; when the real-time value of the flow rate is detected to be continuously non-zero, it is determined that the device is in the ongoing state; when the real-time value of the flow rate is detected to drop from a non-zero value to zero, it is determined that the device is in the stop state.

[0095] It should be noted that when judging whether the equipment status is the start state, the progress state or the stop state, it is possible not only to make a judgment based on the real-time flow rate value of the monitoring data, but also to judge whether the equipment has material entering based on the real-time pressure value of the monitoring data. The embodiments of the present disclosure do not limit this.

[0096] Specifically, it can also be understood that multiple working modes are set for the heating module and the vibration module, and the working mode in each control area is switched according to the equipment status. When the equipment is in the starting state, the working mode is switched to the basic mode. When the equipment is in the ongoing state, the working mode is switched from the basic mode to the adjustment mode. When the equipment is in the stopped state, the working mode is switched from the adjustment mode to the maintenance mode.

[0097] In some embodiments, if the working mode is switched to the adjustment mode, the anti-blocking level of each temperature control area is determined according to the monitoring data, and the vibration control adjustment matrix and temperature control adjustment matrix of each control area are output according to the anti-blocking level and control level of each temperature control area; if the working mode is switched to the basic mode, the vibration control adjustment matrix of each control area is output according to the basic value of the vibration control parameter, and the temperature control adjustment matrix of each control area is output according to the basic value of the temperature control parameter; if the working mode is switched to the maintenance mode, the vibration control adjustment matrix of each control area is output according to the full-frequency value of the vibration control parameter, and the temperature control adjustment matrix of each control area is output according to the constant temperature value of the temperature control parameter.

[0098] In the above method, the status of the equipment is judged by monitoring data, and different working modes are switched for equipment in different states to realize switching control of the heating module and the vibration module between the basic mode, adjustment mode or maintenance mode, thereby avoiding energy waste caused by the equipment starting heating or vibrating according to traditional fixed parameters at different stages, reducing equipment energy consumption, and realizing adaptive anti-blocking control based on real-time monitoring data.

[0099] Step S15 , controlling the vibration module according to the vibration control adjustment matrix, and controlling the heating module according to the temperature control adjustment matrix.

[0100] The vibration control adjustment matrix is ​​a matrix of target values ​​of vibration control parameters of each control area. There is one vibration control adjustment matrix, that is, one device corresponds to one vibration control adjustment matrix, which corresponds to the vibration control parameters of the vibration modules in all control areas. The vibration control parameters include: vibration frequency, vibration duration, and vibration interval. Each element in the vibration control adjustment matrix corresponds to a control area, and the position of each element represents the position of the corresponding control area. The eigenvalue corresponding to each element is the target value of the vibration frequency, vibration duration, and vibration interval in the control area.

[0101] The temperature control adjustment matrix is ​​a matrix of target values ​​for temperature control parameters in each control zone. Multiple temperature control adjustment matrices exist for each device. The number of temperature control adjustment matrices matches the number of control zones, with one corresponding temperature control adjustment matrix for each control zone. The matrix size of the temperature control adjustment matrix is ​​determined by the location and number of temperature control zones within the control zone. The temperature control parameters include heating temperature and heating duration. Each element in the temperature control adjustment matrix corresponds to a temperature control zone, and the position of each element represents the location of the corresponding temperature control zone within the control zone. The eigenvalue corresponding to each element is the target value for the heating temperature and heating duration for the corresponding temperature control zone.

[0102] Specifically, it can be understood that the vibration control adjustment matrix includes the vibration control parameter target values ​​corresponding to each control area, and the vibration module is controlled according to the vibration control adjustment matrix, that is, the vibration modules in each control area are controlled according to the vibration control parameter target values, so that each vibration module vibrates according to the vibration control parameter target values. For example, the metal movable plate is directly controlled to vibrate with the target value of the vibration interval, the target value of the vibration frequency, and the target value of the vibration duration according to the vibration control parameter target values.

[0103] Specifically, it can be understood that the temperature control matrix includes target temperature control parameter values ​​corresponding to each temperature control zone within the control area. Controlling the heating modules according to the temperature control matrix, that is, controlling the heating modules within each temperature control zone according to the target temperature control parameter values, causes each heating module to heat according to the target temperature control parameter values. For example, the real-time value of the wall surface temperature of the current temperature control zone is obtained, and based on the target heating temperature value within the target temperature control parameter values, the heating modules are heated to bring the real-time wall surface temperature to the target heating temperature.

[0104] In the above anti-blocking control method, zoned temperature control and vibration are achieved by dividing the equipment space into temperature control areas and clustering the control areas. At the same time, the control level of the temperature control area is updated in time in combination with the changes in material properties to achieve accurate division of the temperature control area, and realize the transition from extensive overall processing to precise zoned management and control; for the divided temperature control areas and control areas, metal movable plates are installed on the inner wall of the equipment, and heating modules are installed on the outer wall of the equipment to achieve zoned temperature control and zoned vibration control, and the anti-blocking efficiency is significantly improved through the dual-mode collaboration of heating drying and vibration stripping; in addition, the heating module and the vibration module can be disassembled and replaced independently without stopping the entire equipment for maintenance, reducing the cost of trial and error maintenance, and greatly reducing maintenance cost and maintenance time.

[0105] Figure 2 This is a flow chart of a method for controlling the working mode of each control area according to the device status provided by the present disclosure; see Figure 2The working modes include: adjustment mode, basic mode or maintenance mode. Switching the working mode of each control area according to the device status specifically includes the following steps:

[0106] Step S21: If the device state is the start state, the control working mode is set to the basic mode.

[0107] Specifically, if the operating mode is switched to basic mode, a vibration control adjustment matrix for each control area is output based on the basic values ​​of the vibration control parameters, and a temperature control adjustment matrix for each control area is output based on the basic values ​​of the temperature control parameters. The basic values ​​of the vibration control parameters are used to control the vibration module to perform basic vibration; the basic values ​​of the temperature control parameters are used to control the heating module to perform basic heating, so that the device wall temperature is maintained within the set basic temperature range.

[0108] The vibration control parameters include: vibration frequency, vibration duration and vibration interval. The basic values ​​of the vibration control parameters include the basic value of the vibration frequency, the basic value of the vibration duration and the basic value of the vibration interval. The basic value of each vibration control parameter is set according to an empirical value. For example, the basic value of the vibration frequency is generally 50Hz, the basic value of the vibration duration is generally 3s, and the basic value of the vibration interval is generally 20s. That is, the vibration of the vibration module controls the metal flap to vibrate continuously for 3s at a frequency of 50Hz every 20s. The temperature control parameters include: heating temperature and heating duration. The basic values ​​of the temperature control parameters at least include the basic value of the heating temperature. The basic value of the heating temperature is generally 60-80℃, and the basic value of the heating duration is generally around 5s. The heating duration can also be adjusted according to the actual heating situation. That is, by collecting the temperature parameters, it is ensured that the heating of the heating module can control the temperature of the outer wall of the equipment to the basic value of the heating temperature.

[0109] Step S22: If the device state is switched from the start state to the proceeding state, the control working mode is switched from the basic mode to the adjustment mode.

[0110] Figure 3 This is a flow chart of a method for determining the anti-blocking level of each temperature control area according to the monitoring data provided by the present disclosure; Figure 3 , the anti-blocking level of each temperature control area is determined according to the monitoring data, comprising the following steps:

[0111] Step S31 : constructing a multi-dimensional feature vector for the real-time values ​​of temperature, pressure and flow rate in any temperature control area.

[0112] Specifically, constructing a multidimensional feature vector includes:

[0113] Step S311: For any temperature control area, collect time series data of at least N consecutive periods in the temperature control area to form an original data matrix;

[0114] Step S312, extracting time domain features, frequency domain features and nonlinear dynamic features from the original data matrix to form an initial feature set;

[0115] Among them, the initial feature set is a feature vector set obtained by combining the time domain features, frequency domain features and nonlinear dynamic features according to preset weights. The extracted time domain features include the mean, standard deviation, skewness, kurtosis, waveform factor, etc. in the sliding window, and the sliding window length is ≥5s; the frequency domain features include the amplitude of the fundamental frequency component, the proportion of the amplitude of the first K-order harmonics, and the power spectrum features. For example, the discrete wavelet basis function is used to perform a 5-layer decomposition to obtain the amplitude of each frequency component, and the proportion of the amplitude of the first 5-order harmonics is obtained by fast Fourier transform. The spectral kurtosis index calculated in the 0-5Hz frequency band is marked as the power spectrum feature; the nonlinear dynamic features include the recursion rate, deterministic coefficient, and phase space reconstruction parameters, such as the recursion rate and deterministic coefficient obtained by quantitative analysis of the recursion graph. The calculation of the phase space reconstruction parameters can be to use a parameter estimation method based on time series correlation integral to determine the optimal delay time and embedding dimension. The parameter estimation method based on time series correlation integral is such as the CC algorithm.

[0116] Step S313: Using a feature selection algorithm, M feature vectors with the highest correlation with anti-blocking are selected from the initial feature set to form the multidimensional feature vector.

[0117] Among them, the initial feature set may contain multiple items, and feature selection is to select the optimal feature subset, such as screening out the best 5 to 15 items from 30 items. The feature selection algorithm can be the mRMR algorithm based on mutual information or the recursive feature elimination method, which is not limited in this disclosure.

[0118] Step S32: input the multidimensional feature vector into a preset anti-blocking level judgment model to obtain the anti-blocking level of the temperature control area. The anti-blocking level is divided into at least three levels: primary anti-blocking, secondary anti-blocking, and tertiary anti-blocking.

[0119] Among them, the preset anti-congestion level judgment model is a model obtained in advance based on historical anti-congestion data and fault case training. The preset anti-congestion level judgment model is used to divide the anti-congestion level into three levels: first-level anti-congestion, second-level anti-congestion, and third-level anti-congestion.

[0120] In some embodiments, the training process of the preset anti-blocking level judgment model includes:

[0121] Step S321: Establish a labeled sample library including first-level anti-blocking, second-level anti-blocking, and third-level anti-blocking;

[0122] The data collected includes sample data of the equipment in normal and first-level anti-blocking, second-level anti-blocking, and third-level anti-blocking states, and each sample is annotated with a three-dimensional label vector [L1, L2, L3], where Li ∈{0,1} indicates whether the level i anti-blocking standard has been met. For example, the blockage condition is determined based on the real-time values ​​of the material flow rate, temperature, pressure, and flow rate at the outlet. When the temperature drops sharply, the pressure rises sharply, and the material flow rate at the outlet is zero, it is considered a severe blockage and the data can be labeled as sample data for level one anti-blocking. When the temperature change rate exceeds the preset first temperature threshold, the pressure fluctuation amplitude exceeds the preset first pressure threshold, and the material flow rate at the outlet approaches zero, it is considered a moderate blockage and the data can be labeled as sample data for level two anti-blocking. When the temperature change rate exceeds the preset second temperature threshold, the pressure fluctuation amplitude is between the preset second pressure threshold and the preset first pressure threshold, and the material flow rate at the outlet is lower than the preset flow rate threshold, it is considered a slight blockage and the data can be labeled as sample data for level three anti-blocking. The preset first temperature threshold, preset second temperature threshold, preset first pressure threshold, and preset second pressure threshold are generally set based on empirical values.

[0123] Step S322: extract features from the data in the labeled sample library to construct a multi-dimensional feature vector;

[0124] The multi-dimensional feature vector of the labeled sample library is constructed using the same method as steps S311 to S313;

[0125] Step S323: training a preset anti-blocking level judgment model based on the multi-dimensional feature vector of the labeled sample library;

[0126] Among them, the preset anti-congestion level judgment model can adopt three parallel trained XGBoost models, corresponding to the time domain, frequency domain and nonlinear feature branches respectively; the dynamic weighted cross entropy loss function is used to calculate the loss function of iterative training, and the model is iteratively trained through the online update mechanism until the loss function is minimized to obtain the final anti-congestion level judgment model.

[0127] Specifically, it can also be understood that the outputting of the vibration control adjustment matrix and the temperature control adjustment matrix of each control area according to the anti-blocking level and the control level of each temperature control area includes:

[0128] Step S33 , for each control area, determining a control coefficient matrix of the control area according to the anti-blocking level and control level of the temperature control area in each control area, wherein the size of the control coefficient matrix is ​​determined according to the number of temperature control areas in the control area.

[0129] Specifically, anti-blocking values ​​and control values ​​are assigned to each temperature control area according to the anti-blocking level and the control level. For example, anti-blocking values ​​of 3, 2, and 1 are assigned to temperature control areas with anti-blocking levels of one, two, and three, respectively; and control values ​​of 3, 2, and 1 are assigned to temperature control areas with control levels of key, secondary, and conventional, respectively. Then calculate the sum of the anti-blocking value and the control value of each temperature control area. The sum of the values ​​can be calculated directly, such as the sum of the values ​​of the temperature control area with the control level of key and the anti-blocking level of level one is 6; the weighted sum of the values ​​can also be calculated. The weights of the above anti-blocking values ​​and control values ​​can be set to the same weight, or different weights can be set according to actual conditions. This disclosure does not limit this. For example, for the control level of key and anti-blocking level of level one, the weight of the control value is 0.5 and the weight of the anti-blocking value is 0.5. For the control level of key and anti-blocking level of level two or level three, the weight of the control value is 0.6 and the weight of the anti-blocking value is 0.4. For the control level of secondary key or regular and anti-blocking level of level one, the weight of the control value is 0.4 and the weight of the anti-blocking value is 0.6. In other cases, the weights of the control value and the anti-blocking value are both 0.5. Finally, the sum of the values ​​in the control area is used as each coefficient of the matrix to obtain the control coefficient matrix of the control area.

[0130] Step S34: outputting a vibration control adjustment matrix and a temperature control adjustment matrix for each control area according to the control coefficient matrix.

[0131] Specifically, for each control area, an adjustment value of a temperature control parameter and an adjustment value of a vibration control parameter are set, and the vibration control adjustment matrix and the temperature control adjustment matrix of each control area are output according to the control coefficient matrix, including: determining the temperature control adjustment matrix according to the control coefficient matrix, the basic value of the temperature control parameter and the adjustment value of the temperature control parameter; determining the vibration control adjustment matrix according to the control coefficient matrix, the basic value of the vibration control parameter and the adjustment value of the vibration control parameter.

[0132] In some embodiments, each coefficient of the control coefficient matrix is ​​a weighted sum of the anti-blocking value and the control value of each temperature control zone, and the adjustment value of the temperature control parameter includes the adjustment value of the heating temperature. The temperature control adjustment matrix is ​​determined based on the control coefficient matrix, the basic value of the temperature control parameter, and the adjustment value of the temperature control parameter, including: calculating the change in the heating temperature based on the adjustment value of the heating temperature and the coefficient corresponding to the control coefficient matrix, the change in the heating temperature being equal to the product of the adjustment value of the heating temperature and each coefficient in the control coefficient matrix. For example, if the preset adjustment value of the heating temperature is 5°C and the coefficient corresponding to a certain temperature control zone is 3, then the change in the heating temperature is 5°C × 3 = 15°C. The heating temperature target value in the temperature control adjustment matrix is ​​calculated based on the basic value of the heating temperature and the change in the heating temperature.

[0133] In other embodiments, each coefficient of the control coefficient matrix is ​​a weighted sum of the anti-blocking value and the control value of each temperature control area, and the adjustment value of the vibration control parameter includes the adjustment value of the vibration frequency. The vibration control adjustment matrix is ​​determined based on the control coefficient matrix, the basic value of the vibration control parameter, and the adjustment value of the vibration control parameter, including: calculating the variation coefficient of the vibration frequency based on the control coefficient matrix, the variation coefficient of the vibration frequency can be the maximum value in the control coefficient matrix or the average value in the control coefficient matrix, which is not limited in this disclosure; calculating the variation of the vibration frequency based on the adjustment value of the vibration frequency and the variation coefficient of the vibration frequency, for example, if the adjustment value of the preset vibration frequency is 5Hz, the variation coefficient of the vibration frequency takes the maximum value of 3 in the control coefficient matrix, then the variation of the vibration frequency is 5Hz×3=15℃; calculating the target value of the vibration frequency in the vibration control adjustment matrix based on the basic value of the vibration frequency and the variation of the vibration frequency. In addition, the vibration interval and vibration duration of the vibration control parameters can be adjusted according to the control coefficient matrix using the same method as above, or the basic value of the vibration interval and the basic value of the vibration duration can be maintained unchanged, which is not limited in this disclosure.

[0134] Step S23: If the device state is switched from the ongoing state to the stopped state, the control working mode is switched from the adjustment mode to the maintenance mode.

[0135] Specifically, if the working mode is switched to the maintenance mode, the vibration control adjustment matrix of each control area is output according to the full-frequency value of the vibration control parameter, and the temperature control adjustment matrix of each control area is output according to the constant temperature value of the temperature control parameter. The full-frequency value of the vibration control parameter is used to control the vibration module to perform full-frequency vibration. Through a high-intensity vibration, the material adhering to the inner wall of the equipment is thoroughly cleaned to prepare for the next material transportation, ensuring that the interior is clean and free of material residues, reducing the risk of blockage. The constant temperature value of the temperature control parameter is used to control the heating module to maintain constant temperature heating, so that the wall temperature of the equipment is maintained at a constant temperature value, which can prevent the accumulation of condensed water on the inner wall of the equipment due to excessively low temperature, affecting the service life of the equipment and the quality of the next material transportation, and avoid energy waste caused by excessively high temperature.

[0136] Among them, the full-frequency value of the vibration control parameter refers to the parameter values ​​of the vibration frequency, vibration duration and vibration interval corresponding to the vibration module when performing a one-time full-frequency vibration. The vibration frequency in the full-frequency value of the vibration control parameter is generally a high-frequency vibration frequency, and the vibration duration is a one-time duration value, that is, the duration of only one vibration. Since it only vibrates once in maintenance mode, there is no need to set the vibration interval. The full-frequency value of the vibration control parameter, for example, the high-frequency value of the vibration frequency can be 100Hz, and the one-time duration value of the vibration duration is 10s, that is, continuous vibration at a frequency of 100Hz for 10s. The constant temperature value of the temperature control parameter includes the constant temperature value of the heating temperature and the heating duration is continuous heating. The constant temperature value of the heating temperature is generally 40°C.

[0137] In the above-mentioned method of controlling the working mode of each control area according to the status of the equipment, by detecting the status of the equipment, when the material starts to enter the equipment, the heating module is started in the basic mode to quickly increase the wall temperature of the equipment, reduce the surface humidity of the material, and weaken the adhesion; when the material continues to enter the state, the adjustment mode is adopted to intelligently control the adjustment of the heating module and the vibration module according to the anti-blocking level of each temperature control area in the actual equipment, and intermittent vibration is used to efficiently peel off the dried adhered material to prevent local accumulation; when the material stops entering the equipment, it can also be switched to the maintenance mode in time, by controlling the heating module to maintain the constant temperature mode, and controlling the vibration module to perform a full-frequency vibration to clean the material remaining on the inner wall of the equipment, ensuring that the inside of the equipment is clean and free of material residue, reducing the risk of blockage.

[0138] Figure 4 This is a schematic diagram of the structure of an anti-blocking control device provided by the present disclosure. Figure 4 , the device 400 includes:

[0139] The division module 410 is used to divide the temperature control areas of the equipment into location and control level divisions based on the equipment structural parameters and historical congestion data, and cluster the temperature control areas into different control areas based on the structural parameters;

[0140] Setting module 420, for arranging a vibration module on the inner wall of the device for each control area, and arranging heating modules on the outer wall of the device according to the location of the temperature control area;

[0141] The acquisition module 430 is used to collect monitoring data of material properties and equipment walls, and calculate the material variation coefficient based on the material properties and the monitoring data. If the material variation coefficient meets the trigger condition, the control level of each temperature control zone is updated according to the material variation coefficient;

[0142] The control module 440 is used to switch the working mode of each control area according to the equipment status. If the working mode is switched to the adjustment mode, the anti-blocking level of each temperature control area is determined according to the monitoring data, and the vibration control adjustment matrix and temperature control adjustment matrix of each control area are output according to the anti-blocking level and control level of each temperature control area; the vibration module is controlled according to the vibration control adjustment matrix, and the heating module is controlled according to the temperature control adjustment matrix.

[0143] For a detailed description of the above-mentioned anti-blocking control device, please refer to the description of the relevant method steps in the above-mentioned embodiment, and the repeated parts will not be repeated. The embodiments of the anti-blocking control method and anti-blocking control device described above are merely illustrative, and the "units" and "modules" used as separate components can be a combination of software and / or hardware that implements a predetermined function, and may or may not be physically separated. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art can understand and implement it without any creative work.

[0144] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them. Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present disclosure, and should be covered by the protection scope of the present invention.

Claims

1. An anti-blocking control method, characterized in that: The method comprises: Based on the equipment structure parameters and historical blockage data, the equipment is divided into temperature control areas and control levels, and each temperature control area is clustered according to the structure parameters to obtain different control areas; For each control area, a vibration module is arranged on the inner wall of the equipment, and heating modules are arranged on the outer wall of the equipment according to the location of the temperature control area; Collect monitoring data of material properties and equipment wall surfaces, and calculate material variation coefficients based on the material properties and the monitoring data. If the material variation coefficients meet the trigger conditions, the control levels of the temperature control zones are updated based on the material variation coefficients. Switch the working mode of each control area according to the equipment status. If the working mode is switched to the adjustment mode, determine the anti-blocking level of each temperature control area according to the monitoring data, and output the vibration control adjustment matrix and temperature control adjustment matrix of each control area according to the anti-blocking level and control level of each temperature control area; The vibration module is controlled according to the vibration control adjustment matrix, and the heating module is controlled according to the temperature control adjustment matrix.

2. The anti-blocking control method according to claim 1, characterized in that: The material properties include humidity and particle size, the material variation coefficient is a multi-parameter variation coefficient, and the material variation coefficient is calculated based on the material properties and the monitoring data, including: calculating a consistency coefficient based on the humidity; calculating a flow coefficient based on the particle size; Calculating average flow velocity and shear rate based on the monitoring data; The multi-parameter variation coefficient is calculated based on the consistency coefficient, flow coefficient, average flow velocity and shear rate.

3. The anti-blocking control method according to claim 1, characterized in that: The monitoring data includes the real-time value of the flow rate, and the device status includes the start state, the progress state, and the stop state. Determining the device status specifically includes: When the real-time value of the flow rate is detected to increase from zero, it is determined that the device is in the starting state; When the real-time value of the flow rate is detected to be a non-zero value continuously, it is determined that the device is in the ongoing state; When it is detected that the real-time value of the flow rate drops from a non-zero value to zero, it is determined that the device is in a stopped state.

4. The anti-blocking control method according to claim 3, characterized in that: The working mode also includes: basic mode or maintenance mode, and the working mode of each control area is switched according to the device status, including: If the device state is the start state, the control working mode is the basic mode; If the device status switches from the start state to the progress state, the control working mode switches from the basic mode to the adjustment mode; If the equipment status switches from the ongoing status to the stopped status, the control working mode switches from the adjustment mode to the maintenance mode.

5. The anti-blocking control method according to claim 4, characterized in that: If the working mode is switched to the basic mode, the vibration control adjustment matrix of each control area is output according to the basic value of the vibration control parameter, and the temperature control adjustment matrix of each control area is output according to the basic value of the temperature control parameter; If the working mode is switched to the maintenance mode, the vibration control adjustment matrix of each control area is output according to the full-frequency value of the vibration control parameter, and the temperature control adjustment matrix of each control area is output according to the constant temperature value of the temperature control parameter.

6. The anti-blocking control method according to claim 3, characterized in that: The monitoring data also includes real-time values ​​of temperature and pressure. The anti-blocking level of each temperature control area is determined based on the monitoring data, including: Construct a multidimensional feature vector for the real-time values ​​of temperature, pressure and flow rate in any temperature-controlled area; The multidimensional feature vector is input into a preset anti-blocking level judgment model to obtain the anti-blocking level of the temperature control area, and the anti-blocking level is divided into at least three levels: primary anti-blocking, secondary anti-blocking, and tertiary anti-blocking.

7. The anti-blocking control method according to claim 6, characterized in that: Outputting the vibration control adjustment matrix and the temperature control adjustment matrix of each control area according to the anti-blocking level and the control level of each temperature control area includes: For each control area, a control coefficient matrix of the control area is determined according to the anti-blocking level and control level of the temperature control area in each control area. The size of the control coefficient matrix is ​​determined according to the number of temperature control areas in the control area; The vibration control adjustment matrix and the temperature control adjustment matrix of each control area are output according to the control coefficient matrix; wherein the vibration control adjustment matrix is ​​a matrix of the target values ​​of the vibration control parameters of each control area, and the vibration control parameters include: vibration frequency, vibration duration and vibration interval; the temperature control adjustment matrix is ​​a matrix of the target values ​​of the temperature control parameters of each control area, and the temperature control parameters include: heating temperature and heating duration.

8. The anti-blocking control method according to claim 1, characterized in that: The vibration module includes a metal movable plate and a vibration motor. The metal movable plate is installed on the inner wall of the device and is fixedly connected to the vibration motor on the outer wall. The heating module includes an electric heating plate, which is attached to the outer wall of the device. 9.An anti-blocking control device, characterized in that: The device comprises: The division module is used to divide the location and control level of the temperature control area of ​​the equipment according to the equipment structure parameters and historical blockage data, and cluster each temperature control area according to the structure parameters to obtain different control areas; A setting module is used to arrange a vibration module on the inner wall of the equipment for each control area, and to arrange heating modules on the outer wall of the equipment according to the location of the temperature control area; An acquisition module is used to collect monitoring data of material properties and equipment walls, and calculate a material variation coefficient based on the material properties and the monitoring data. If the material variation coefficient meets a trigger condition, the control level of each temperature control zone is updated according to the material variation coefficient; The control module is used to switch the working mode of each control area according to the equipment status. If the working mode is switched to the adjustment mode, the anti-blocking level of each temperature control area is judged according to the monitoring data, and the vibration control adjustment matrix and temperature control adjustment matrix of each control area are output according to the anti-blocking level and control level of each temperature control area; the vibration module is controlled according to the vibration control adjustment matrix, and the heating module is controlled according to the temperature control adjustment matrix.

10. The anti-clogging control device according to claim 9, characterized in that: The vibration module includes a metal movable plate and a vibration motor. The metal movable plate is installed on the inner wall of the device and is fixedly connected to the vibration motor on the outer wall. The heating module includes an electric heating plate, which is attached to the outer wall of the device.

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