Positive pressure conveying anti-blocking control method, system, device and equipment for powder materials

Abstract

The invention discloses a positive pressure conveying anti-blocking control method, system, device and equipment for powder materials, and the positive pressure conveying anti-blocking control method for the powder materials comprises the steps that in the process that a positive pressure conveying pipeline conveys the powder materials, multi-dimensional data influencing pipeline blocking are collected, the multi-dimensional data comprises pressure difference data between the main pipeline and the auxiliary pipeline; under the condition that it is determined that the powder material conveying time and / or the pipeline purging time need to be adjusted based on the pressure difference data, decision making is conducted based on the multi-dimensional data, and target conveying time and / or target purging time are / is obtained; conveying of the powder material is controlled based on the target conveying time, and / or pipeline purging is controlled based on the target purging time. According to the method, the material conveying condition in the conveying pipeline can be monitored in real time, so that the material conveying time and the pipeline purging time are dynamically adjusted, the pipeline blockage risk is effectively reduced, and the conveying efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of pneumatic conveying, and in particular to a method, system, device, and equipment for preventing blockage during positive pressure conveying of powder materials. Background Technology

[0002] With the rapid development of the national economy and the country's emphasis on environmental protection, pneumatic conveying technology, especially positive pressure dense phase pneumatic conveying technology, has developed rapidly and has been applied in many industries. However, due to the complex and variable flow of materials in pneumatic conveying pipelines, the performance of components, and the feeding conditions of silo pumps, pipe blockage in pneumatic conveying systems occurs frequently.

[0003] In positive pressure conveying systems, compressed air is used to transport materials to the target location, with the material and airflow flowing together in the pipeline. However, existing positive pressure conveying systems cannot meet the conveying requirements of products with different physical properties and are prone to pipeline blockage during material transportation, affecting conveying efficiency. Summary of the Invention

[0004] In view of the above problems, this application provides a positive pressure conveying anti-blocking control method for powder materials, which can monitor the material conveying situation in the conveying pipeline in real time, thereby dynamically adjusting the material conveying time and pipeline purging time, effectively reducing the risk of pipeline blockage and improving conveying efficiency.

[0005] In a first aspect, this application provides a positive pressure conveying anti-clogging control method for powder materials. The method includes: during the conveying of powder materials in a positive pressure conveying pipeline, collecting multi-dimensional data affecting pipeline blockage, wherein the multi-dimensional data includes pressure difference data between the main pipeline and the auxiliary pipeline; when it is determined based on the pressure difference data that the powder material conveying time and / or pipeline purging time need to be adjusted, making a decision based on the multi-dimensional data to obtain a target conveying time and / or a target purging time; controlling the conveying of powder materials based on the target conveying time, and / or controlling pipeline purging based on the target purging time.

[0006] In the technical solution of this application embodiment, firstly, during the process of conveying powder materials in a positive pressure conveying pipeline, multi-dimensional data affecting pipeline blockage are collected. Then, based on the differential pressure data, it is determined that the powder material conveying time or pipeline purging time needs to be adjusted. Based on the multi-dimensional data, a decision is made to obtain the target conveying time or target purging time. Then, the conveying of powder materials is controlled based on the target conveying time, or the pipeline purging is controlled based on the target purging time. This allows for real-time monitoring of the material conveying situation in the conveying pipeline, thereby dynamically adjusting the material conveying time and pipeline purging time, effectively reducing the risk of pipeline blockage and improving conveying efficiency.

[0007] In some embodiments, the multidimensional data further includes powder material characteristic data; when it is determined based on differential pressure data that the powder material conveying time needs to be adjusted, decision-making based on multidimensional data includes: when differential pressure data meets a first preset condition, decision-making based on multidimensional data, and when powder material characteristic data meets a second preset condition, obtaining a first decision result; and based on the first decision result, obtaining a target conveying time, the target conveying time including extending the conveying time.

[0008] In some embodiments, when it is determined that the pipeline purging time needs to be adjusted based on differential pressure data, a decision is made based on multi-dimensional data, including: when the differential pressure data meets a third preset condition, a decision is made based on multi-dimensional data to obtain a second decision result; based on the second decision result, a target purging time is obtained, the target purging time including extending the purging time.

[0009] In some embodiments, the multi-dimensional data further includes gas flow data, and the method further includes: making a decision based on the multi-dimensional data when the gas flow data meets a fourth preset condition, to obtain a third decision result, wherein the third decision result includes airflow compensation; and controlling the conveying airflow of the reinforced powder material based on the third decision result.

[0010] In some embodiments, the method further includes: when the differential pressure data meets a fifth preset condition and the gas flow rate data meets a sixth preset condition, making a decision based on multi-dimensional data to obtain a fourth decision result, wherein the fourth decision result includes backflushing or shutdown inspection; and controlling the backflushing pipeline or shutdown inspection based on the fourth decision result.

[0011] In some embodiments, the method further includes: acquiring and saving differential pressure data from previous moments; comparing the differential pressure data at the current moment with the differential pressure data from previous moments to determine whether pipeline purging is required.

[0012] In some embodiments, comparing the differential pressure data at the current moment with the differential pressure data at a previous moment to determine whether pipeline purging is required includes: determining that the differential pressure data at the current moment is less than the differential pressure data at a previous moment; and controlling pipeline purging to be performed if the differential pressure data at the current moment meets a seventh preset condition.

[0013] In some embodiments, the target delivery time, target purging time, airflow compensation, and backflushing or shutdown inspection are obtained based on a decision tree. The decision tree includes: an input layer, used to input multi-dimensional data into the decision tree during the delivery of powder materials through a positive pressure pipeline; a core decision node, connected to the input layer, used to make decisions based on multi-dimensional data when it is determined that the powder material delivery time and / or pipeline purging time need to be adjusted based on differential pressure data, when the gas flow rate data meets a fourth preset condition, and when the differential pressure data meets a fifth preset condition and the gas flow rate data meets a sixth preset condition, respectively, to obtain a first decision result, a second decision result, a third decision result, and a fourth decision result; and an output layer, connected to the core decision node, used to output the target delivery time, target purging time, airflow compensation, and backflushing or shutdown inspection based on the first decision result, the second decision result, the third decision result, and the fourth decision result, respectively.

[0014] On the other hand, this application provides a positive pressure conveying anti-blocking control system for powder materials, the system being used to perform the steps of the method in any of the above embodiments.

[0015] On the other hand, this application provides a positive pressure conveying anti-clogging control device for powder materials. The device includes: a data acquisition module, used to acquire multi-dimensional data affecting pipeline blockage during the conveying of powder materials in a positive pressure conveying pipeline, wherein the multi-dimensional data includes pressure difference data between the main pipeline and the auxiliary pipeline; a decision module, used to make a decision based on the multi-dimensional data when it is determined based on the pressure difference data that the powder material conveying time and / or the pipeline purging time need to be adjusted, to obtain a target conveying time and / or a target purging time; and a control module, used to control the conveying of powder materials based on the target conveying time, and / or control the pipeline purging based on the target purging time.

[0016] On the other hand, this application provides an electronic device including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method of any of the above embodiments.

[0017] On the other hand, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method of any of the above embodiments.

[0018] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0019] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiments below. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0020] Figure 1 A schematic diagram of a positive pressure delivery system is shown;

[0021] Figure 2 A flowchart of a positive pressure conveying anti-blocking control method for powder materials according to an embodiment of this application is shown;

[0022] Figure 3 This illustration shows a schematic diagram of digital differential pressure display according to an embodiment of this application;

[0023] Figure 4 This paper illustrates a schematic diagram of the pressure difference change trend according to an embodiment of this application.

[0024] Figure 5 A flowchart of the PLC single-machine control logic according to an embodiment of this application is shown;

[0025] Figure 6 A schematic diagram of the decision tree blocking strategy according to an embodiment of this application is shown;

[0026] Figure 7 A block diagram of a positive pressure conveying anti-blocking control device for powder materials according to an embodiment of this application is shown;

[0027] Figure 8 A schematic diagram of an electronic device according to an embodiment of this application is shown. Detailed Implementation

[0028] The embodiments of the technical solution of this application will now be described in detail with reference to the accompanying drawings. These embodiments are only used to more clearly illustrate the technical solution of this application and are therefore merely examples, and should not be used to limit the scope of protection of this application.

[0029] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0030] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0031] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0032] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0033] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0034] In the description of the embodiments of this application, the technical terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the embodiments of this application and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of this application.

[0035] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0036] With rapid economic development and the country's emphasis on environmental protection, pneumatic conveying technology, especially positive pressure dense phase pneumatic conveying technology, has developed rapidly and has been applied in many industries. However, due to the complex and variable flow of materials in pneumatic conveying pipelines, the performance of components, and the feeding conditions of silo pumps, pipe blockage in pneumatic conveying systems occurs frequently.

[0037] In positive pressure conveying systems, compressed air is used to transport materials to the target location, with the material and airflow flowing together in the pipeline. However, existing positive pressure conveying systems cannot meet the conveying requirements of products with different physical properties and are prone to pipeline blockage during material transportation, affecting conveying efficiency.

[0038] Positive pressure pneumatic conveying is based on the solid-gas two-phase flow principle, transforming suspended dilute-phase pneumatic conveying into dense-phase pneumatic conveying. It utilizes the static and dynamic pressure of compressed air to convey powdery materials at high concentrations and high efficiency. The entire system mainly consists of five parts: the air source, the conveying section, the pipeline section, the storage silo section, and the control section. One conveying cycle generally includes the following stages:

[0039] Feeding stage: All air inlet valves and discharge valves are closed, and the silo pump balance valve and feed valve are open. The material falls freely into the silo pump by gravity. When the material reaches the feeding time (or material level) set by the PLC (Programmable Logic Controller), the feed valve and balance valve are closed, and the feeding stage ends.

[0040] Conveying stage: The air inlet valve, discharge valve and conveying air inlet valve of the silo pump are all open. The gas-solid mixture enters the conveying pipe through the discharge valve. The material is always fluidized and enters the conveying pipeline for conveying. When the material in the silo pump is completely conveyed, the pipeline pressure drops. When the pipeline pressure drops to the level that causes the pressure switch to send a signal, the conveying stage ends and the purging stage begins.

[0041] Purging phase: Depending on the project situation, open the corresponding air valves and use compressed air to purge the delivery pipeline. After a set period of time, the purging is completed, the corresponding air valves are closed, and the process enters the waiting phase.

[0042] For a pneumatic conveying system to operate stably, the following two conditions must be met: ① The material must be able to enter the conveying pipeline stably, smoothly, uniformly, and adjustablely from the silo pump. The silo pump must have a high-quality and reliable fluidization device to ensure uniform mixing of material and air. ② The material must be conveyed smoothly and stably in the pipeline. For the material to be conveyed stably in the pipeline, the velocity at the starting point of the conveying pipeline must be greater than the free suspension velocity of the material; otherwise, stable conveying is difficult. The free suspension velocity is directly proportional to the bulk density and particle size of the powder material.

[0043] In positive pressure pneumatic conveying systems, auxiliary pneumatic conveying or secondary pneumatic conveying is generally used to improve material conveying efficiency and solve flow problems that occur when conveying materials over long distances or when conveying materials that are difficult to transport. Assisted conveying typically uses additional airflow or pressure outside the main airflow to assist the movement and flow of materials.

[0044] In positive pressure conveying systems, compressed air transports materials to the target location, with the material and airflow flowing together within the pipeline. When the material's flowability is insufficient, the distance is too long, or the pipeline design is inadequate, the main airflow may not be sufficient to transport the material alone. In such cases, auxiliary airflow can be introduced to help the material move more smoothly, preventing blockages or material accumulation. For long-distance conveying, the conveying process is divided into multiple segments, each equipped with an airflow assist device. The introduction of auxiliary airflow can effectively improve system conveying efficiency, especially in long-distance, complex pipeline conveying and granular material conveying. Assisted conveying reduces airflow attenuation, ensuring the material reaches the target location smoothly. The transported materials are often powdery or granular, and the transport distance is long with significant vertical distances.

[0045] Figure 1 A schematic diagram of a positive pressure delivery system is shown.

[0046] like Figure 1 As shown, each section of the auxiliary conveying system is equipped with a pointer-type differential pressure gauge to monitor the pressure difference between the auxiliary conveying pipeline and the main pipeline, in order to determine whether there is any material residue in this section of the pipeline. However, in long-distance transportation systems, the pointer-type differential pressure gauges have blind spots and cannot communicate with the monitoring system in real time. This makes it difficult for maintenance personnel to quickly identify which section of the pipeline is blocked after a blockage occurs, resulting in prolonged maintenance time and severely impacting normal production.

[0047] In positive pressure conveying systems, the PLC uses a fixed conveying time, which cannot be adjusted in a timely manner for products with different physical properties, nor can it monitor changes in the conveying situation within the pipeline in real time. Because compressed air pressure fluctuates and material characteristics vary, the actual conveying time required for each delivery varies. If the conveying time is set shorter than the actual requirement, not all material will enter the storage bin during the conveying process, leaving some material in the pipeline, which can easily cause pipeline blockage during the next material transport. Conversely, if the conveying time is set longer than the actual requirement, it will waste compressed air and affect production efficiency.

[0048] In view of this, this application proposes a positive pressure conveying anti-blocking control method for powder materials, which can monitor the material conveying situation in the conveying pipeline in real time, thereby dynamically adjusting the material conveying time and pipeline purging time, effectively reducing the risk of pipeline blockage and improving conveying efficiency.

[0049] In the technical solution of this application embodiment, firstly, during the process of conveying powder materials in a positive pressure conveying pipeline, multi-dimensional data affecting pipeline blockage are collected. Then, based on the differential pressure data, it is determined that the powder material conveying time or pipeline purging time needs to be adjusted. Based on the multi-dimensional data, a decision is made to obtain the target conveying time or target purging time. Then, the conveying of powder materials is controlled based on the target conveying time, or the pipeline purging is controlled based on the target purging time. This allows for real-time monitoring of the material conveying situation in the conveying pipeline, thereby dynamically adjusting the material conveying time and pipeline purging time, effectively reducing the risk of pipeline blockage and improving conveying efficiency.

[0050] Figure 2 A flowchart of a positive pressure conveying anti-blocking control method for powder materials according to an embodiment of this application is shown.

[0051] like Figure 2 As shown, the positive pressure conveying anti-blocking control method 100 for powder materials provided in this application includes steps S210 to S230.

[0052] Step S210: During the process of conveying powder materials in the positive pressure conveying pipeline, collect multi-dimensional data that affects pipeline blockage, including the pressure difference data between the main pipeline and the auxiliary pipeline.

[0053] For example, for a material delivery cycle of powder, multi-dimensional data affecting pipeline blockage can be collected in real time from the start of delivery. The powder material can be, for example, a multi-element cathode material. The multi-dimensional data affecting pipeline blockage can include pipeline environment-related data and material property-related data throughout the delivery process. For example, it can mainly include the pressure difference data between the main delivery pipeline and the auxiliary pipeline, thereby monitoring the pressure difference changes during the delivery process.

[0054] Step S220: If it is determined from the differential pressure data that the powder material conveying time and / or pipeline purging time need to be adjusted, a decision is made based on multi-dimensional data to obtain the target conveying time and / or target purging time.

[0055] For example, differential pressure data can be used to analyze and determine whether there is residual material in the transport pipeline during a single material delivery process. This allows for decision-making based on real-time characteristics of multi-dimensional data, adjusting the powder material delivery time or pipeline purging time. For instance, if residual material remains in the pipeline at the end of a delivery cycle, the pipeline purging time can be extended to blow the residual material into a storage bin, preventing pipeline blockage. Similarly, if multi-dimensional data indicates insufficient material delivery time, the delivery time can be extended. Furthermore, if multi-dimensional data shows that material delivery is completed ahead of schedule, the delivery time can be shortened to avoid wasting compressed air and affecting production efficiency. This yields a target delivery time or a target purging time, which are the real-time adjusted powder material delivery time or adjusted pipeline purging time obtained after the decision.

[0056] Step S230: Control the conveying of powder materials based on the target conveying time, and / or control pipeline purging based on the target purging time.

[0057] For example, the current conveying cycle of powder materials can be extended or shortened based on the target conveying time obtained after real-time adjustment, or the pipeline purging time can be extended or shortened based on the target purging time obtained after real-time adjustment, thereby preventing pipeline blockage due to residual material or waste of resources, and improving conveying efficiency.

[0058] In the technical solution of this application embodiment, firstly, during the process of conveying powder materials in a positive pressure conveying pipeline, multi-dimensional data affecting pipeline blockage are collected. Then, based on the differential pressure data, it is determined that the powder material conveying time or pipeline purging time needs to be adjusted. Based on the multi-dimensional data, a decision is made to obtain the target conveying time or target purging time. Then, the conveying of powder materials is controlled based on the target conveying time, or the pipeline purging is controlled based on the target purging time. This allows for real-time monitoring of the material conveying situation in the conveying pipeline, thereby dynamically adjusting the material conveying time and pipeline purging time, effectively reducing the risk of pipeline blockage and improving conveying efficiency.

[0059] In one example, the execution of the positive pressure conveying anti-blocking control method for powder materials in this application is based on a joint control system of PLC single-machine control and decision tree real-time monitoring and decision-making. This system can adaptively adjust the material delivery time and purging pipeline time according to different working conditions during the material conveying process, so as to ensure the stable operation and anti-blocking effect of the system, and improve the accuracy and intelligence level of the system. The anti-blocking strategy of PLC single-machine control is introduced first below.

[0060] For example, during a material delivery cycle, the pipeline purging time can be determined based on the changing trend of differential pressure data. For instance, firstly, differential pressure data from previous moments can be collected and saved; then, the differential pressure data at the current moment can be compared with the differential pressure data from previous moments to determine whether pipeline purging is required.

[0061] Specifically, the differential pressure data at the current moment is compared with the differential pressure data at the previous moment to determine whether pipeline purging is required. For example, first, it is determined that the differential pressure data at the current moment is less than the differential pressure data at the previous moment; if the differential pressure data at the current moment meets the seventh preset condition, pipeline purging is controlled.

[0062] The following combination Figure 3 , Figure 4 as well as Figure 5 Provide a detailed description.

[0063] Figure 3 This illustration shows a schematic representation of a digital differential pressure display according to an embodiment of this application.

[0064] For example, such as Figure 3 As shown, Figure 3 The differential pressure gauges used are digital, replacing the traditional pointer-type compaction gauges. Digital differential pressure gauges can collect pressure difference data between the main and auxiliary pipelines, providing higher accuracy and more intuitive readings. By transmitting the data digitally to a PLC, they can monitor the pressure difference changes between the current and previous times in real time, avoiding the reading errors that may occur with traditional pointer gauges. Furthermore, digital differential pressure gauges are equipped with higher resolution and faster response speeds. Data from the digital differential pressure gauges can be acquired via analog signals and input into a PLC or embedded system to monitor pressure difference changes at various nodes within a pipeline. These pressure difference data changes can be transmitted from the PLC to a DCS (Distributed Control System) or SCADA (Supervisory and Data Acquisition System) system via the Profinet (an automation bus standard) communication protocol for storage, further data processing and analysis, and to determine whether pipeline purging is necessary.

[0065] The selection of digital differential pressure gauges can be as follows:

[0066] High-precision sensor: The digital differential pressure gauge has a high-precision sensor inside, which can accurately measure changes in pressure difference.

[0067] Environmental adaptability: It can adapt to positive pressure conveying environments, ensuring its pressure resistance and corrosion resistance, and guaranteeing its data reliability.

[0068] Interface and output method: The digital differential pressure gauge can output RS485 signal and use bus wiring to connect the digital differential pressure gauges of a pipeline in series based on two buses, reducing the wiring and saving costs.

[0069] Figure 4 A schematic diagram illustrating the pressure difference change trend of an embodiment of this application is shown.

[0070] For example, such as Figure 4 As shown, the horizontal axis represents the material conveying time, and the vertical axis represents the pressure difference. During a material conveying process, the pressure difference data at each conveying node starts from 0, reaches its highest value, remains stable for a period of time, and then gradually returns to 0. When the pressure difference at all nodes returns to 0, it indicates that the current conveying operation is complete, and the silo pump can begin a new loading cycle. Within a conveying cycle, the pressure difference data first increases, then decreases, and finally returns to 0. If the pressure difference data at one node cannot return to 0, i.e., the current pressure difference data is less than the pressure difference data at the previous time, the pressure difference data is not 0, indicating that there is residual material in this section of the pipeline. Pipeline purging is required to blow the residual material into the storage silo.

[0071] To prevent damage to a single differential pressure gauge (digital differential pressure gauge) from affecting normal production, it is necessary to monitor the change trajectory of each differential pressure data point within a cycle. The differential pressure change trend of each differential pressure gauge should remain consistent during material transport. When a differential pressure change trajectory does not conform to historical experience, it is determined that there is a problem with this differential pressure gauge, and its value change will be masked, not participating in control decisions, and will not affect normal production. At this time, relevant alarm information will be displayed, and maintenance personnel will be called to check.

[0072] Figure 5 A flowchart of the PLC single-machine control logic according to an embodiment of this application is shown.

[0073] For example, such as Figure 5 As shown, the PLC standalone equipment adopts a fuzzy control strategy, adaptively adjusting the material delivery time and pipeline purging time based on historical production experience and monitored differential pressure changes. For example, a Siemens 1200 series PLC can be used for detection and control. The differential pressure gauges can be connected to the PLC via two buses for logic control. Before the silo pump feeds, it first checks whether the previous material delivery has ended and whether all differential pressure gauge data are 0. If not, pipeline purging is performed and the pipeline purging is extended to avoid material residue in the pipeline. If all differential pressure gauge values ​​are 0, the silo pump starts feeding. When the material level setpoint or feeding time is reached, the current material delivery begins. At this time, the differential pressure gauge value rises as the material fills the pipeline to the pipeline pressure value. When the differential pressure gauge data reaches its maximum (refer to...), the pressure gauge reading is released. Figure 4 The peak value indicates that the main pipeline is filled with material.

[0074] At the start of material delivery, the differential pressure data status value s = 0, and the number of times the differential pressure data is saved and recorded n = 0. After 2 seconds of material delivery, the status value s changes from 0 to 1, indicating that the differential pressure data is in the rising phase. The status value s changes from 1 to 2, indicating that the differential pressure data has risen to its maximum value and entered the holding phase. If the differential pressure data at the current moment is less than the differential pressure data at the previous moment, then the differential pressure data falls into the falling phase. It is then determined whether the differential pressure data at the current moment is 0. If the differential pressure data at the current moment returns to 0 (seventh preset condition), it indicates that this material delivery is complete (the differential pressure data returning to 0 can have a certain range of error, which can be set according to the working conditions). This allows the control system to purge the pipeline and extend the pipeline purging process to avoid material residue in the pipeline before the next material delivery.

[0075] In the technical solution of this application embodiment, firstly, the differential pressure data of the previous time moment is collected and saved. Then, the differential pressure data of the current time moment is compared with the differential pressure data of the previous time moment to determine that the differential pressure data of the current time moment is less than the differential pressure data of the previous time moment. When the differential pressure data of the current time moment meets the seventh preset condition, the pipeline is controlled to be purged. Thus, the pipeline purging time is adaptively adjusted according to the change of differential pressure data to avoid pipeline blockage caused by residual materials in the pipeline.

[0076] However, a single-unit PLC can only collect instantaneous differential pressure values ​​to adaptively adjust material delivery time and pipeline purging time, failing to better reflect the relationship between differential pressure data changes and the amount of residual material in the pipeline. Fixed differential pressure thresholds cannot dynamically respond to changes in material characteristics (such as changes in particle size distribution and bulk density caused by moisture content fluctuations). When material flowability changes abruptly, static thresholds are prone to misjudgments (such as undetected hidden blockages or over-purging). Therefore, a decision tree approach can be used to perform real-time synchronous monitoring of the entire pipeline differential pressure, improving the accuracy of adaptive adjustment. Next, we will specifically introduce how to perform real-time monitoring of material delivery based on a decision tree, thereby adaptively adjusting the material delivery time and pipeline purging time according to different operating conditions.

[0077] Figure 6 A schematic diagram of the decision tree blocking strategy according to an embodiment of this application is shown.

[0078] For example, such as Figure 6As shown, the system can control and adjust the operations of the material conveying and purging stages based on the real-time characteristic changes of the collected multi-dimensional data affecting pipeline blockage. This includes adjusting material conveying time, purging time, airflow compensation, backflushing, or shutdown for inspection. The target conveying time, target purging time, airflow compensation, and backflushing or shutdown for inspection are obtained based on a decision tree. The decision tree includes: an input layer, used to input multi-dimensional data during the conveying of powder materials in a positive pressure pipeline; a core decision node, connected to the input layer, used to make decisions based on multi-dimensional data when the need to adjust the powder material conveying time and / or pipeline purging time is determined based on differential pressure data, when gas flow data meets a fourth preset condition, and when differential pressure data meets a fifth preset condition and gas flow data meets a sixth preset condition, resulting in a first decision result, a second decision result, a third decision result, and a fourth decision result; and an output layer, connected to the core decision node, used to output the target conveying time, target purging time, airflow compensation, and backflushing or shutdown for inspection based on the first, second, third, and fourth decision results, respectively.

[0079] Specifically, we will first introduce the training reasoning and decision-making process of decision trees:

[0080] Differential pressure data collected by digital differential pressure gauges (with high-frequency sampling, such as sampling frequency ≥10Hz) can be transmitted in real time to the upper-level DCS or SCADA system for historical data storage. Through historical data and real-time information (such as material flow rate, system pressure, etc.), a mathematical model of material conveying can be established or machine learning methods can be used to predict material demand and automatically adjust material delivery time and pipeline purging time.

[0081] For example, a quantitative relationship can be established between differential pressure time-series characteristics and material residue (e.g., a differential pressure ΔP consistently > 5 kPa and a flow rate decrease rate > 10% indicates an increased risk level of pipeline stagnation). The large amount of historical data stored in the host computer control system (DCS or SCADA system) can be used to train machine learning algorithms to analyze the correlation between differential pressure data and pipeline blockage, predict potential blockage risks, and make adjustments in advance. This allows for more accurate prediction of blockage points in real-time monitoring and avoidance of blockages by automatically adjusting material delivery time, flow rate, or purging time.

[0082] For example, in a positive pressure conveying system, a decision tree algorithm is used to monitor the pressure difference data between the main pipeline and the auxiliary pipeline, and to adaptively adjust the material delivery time and pipeline purging time as a pressure difference anti-blocking technology. This technology has strong interpretability and decision-making capabilities. A decision tree is a supervised learning method based on a tree structure, widely used in classification and regression problems. It recursively divides the data into different subsets and makes decisions at each node, ultimately generating a decision tree. In the scheme of this application, the decision tree, through classification and regression of the input multi-dimensional data, can make appropriate adjustments based on the real-time status of the system (such as pressure difference, flow rate, etc.) to avoid pipeline blockage, as detailed below.

[0083] (1) Data collection and feature selection

[0084] The system first needs to collect real-time multi-dimensional data, including pressure data at each node of the main and auxiliary pipelines, as well as other factors that may affect pipeline blockage, such as historical blockage status, fluid type, pipeline material, and pipeline length, as feature inputs for the input layer. Specific feature selections can include: pressure difference between the main and auxiliary pipelines; flow velocity or flow rate of the material in the pipeline; pressure of the conveying airflow; physical properties of the material (such as particle size, humidity, and flowability); and other operating parameters in the system (such as pipeline temperature and airflow rate).

[0085] (2) Data preprocessing and label definition

[0086] Data cleaning: Cleaning the collected raw data to remove outliers and missing values ​​to ensure data quality.

[0087] Label definition: For decision tree regression problems, the labels are defined as operations such as "adjust sending time" and "adjust purging time", or the amount of time to be adjusted can be directly represented by a numerical value; for classification problems, the labels are defined as categories such as "material present in pipeline" and "no material in pipeline".

[0088] (3) Training the decision tree model

[0089] Decision tree models, by learning from a large amount of historical data, can capture the relationship between various input variables (such as differential pressure and flow rate) and material delivery time and pipeline purging time. Through training, the decision tree can generate a tree structure, where each internal node represents a decision condition, and each leaf node represents the final output result, i.e., adjusting the material delivery time or adjusting the purging time.

[0090] The target variable in the training data (i.e. the model output) is the actual "sending time" or "purge time". The target variable is determined based on the actual congestion and delivery effect that occurred in the historical operation.

[0091] (4) Real-time monitoring and decision-making

[0092] In actual operation, the decision tree model uses real-time collected data to make decisions. Based on input features such as current differential pressure, flow rate, and material characteristics, the system reasons along the decision tree from the root node to the leaf node, and finally outputs an adjusted conveying time or purging time. For example, if the currently monitored differential pressure is large and the material has poor flowability, the decision tree will predict that the system needs to extend the conveying time to ensure that the material completely enters the storage bin, or extend the purging time to avoid material residue causing blockage.

[0093] For example, continue to refer to Figure 6 Multi-dimensional data can be used as input data to enter the input layer of the decision tree. This multi-dimensional data can include data related to material characteristics (powder material feature data), such as flowability (material viscosity η, hygroscopicity, affecting arching and wall adhesion tendency), particle size distribution (high fine powder content easily leads to increased air resistance or suspension difficulty; coarse particles are easy to settle), moisture content or humidity (affecting material agglomeration and pipe wall adhesion), and data related to environmental and operational variables, such as airflow pressure P (the power source for conveying, directly affecting the material suspension speed and driving force), ambient temperature T (affecting air density, viscosity and the material's own physical properties, such as molten powder), real-time pressure difference ΔP, material flow rate Q, etc. The core decision node (core decision layer) makes decisions based on the corresponding decision conditions, outputs the decision results through the output layer, and controls the conveying of powder materials based on the decision results through PLC control.

[0094] In the technical solution of this application embodiment, during the process of conveying powder materials through a positive pressure conveying pipeline, multi-dimensional data is input into the decision tree through the input layer of the decision tree. The core decision nodes make decisions based on multi-dimensional data when: the pressure difference data determines that the powder material conveying time or pipeline purging time needs adjustment; the gas flow data meets a fourth preset condition; and the pressure difference data meets a fifth preset condition and the gas flow data meets a sixth preset condition. This yields a first decision result, a second decision result, a third decision result, and a fourth decision result. Then, the output layer outputs the target conveying time, the target purging time, airflow compensation, and backflushing or shutdown inspection based on the first, second, third, and fourth decision results, respectively. The system can automatically adjust operating parameters based on real-time monitoring data, ensuring that each conveying pipeline is in optimal operating condition. This avoids equipment damage or pressure fluctuations caused by uneven material distribution or stagnation. Therefore, the system can automatically adjust the delivery time and purging time according to different working conditions, maintaining efficient and stable operation under various changing conditions, improving system adaptability, reducing the frequency of blockages, and ensuring production continuity. At the same time, this technology can be applied to multiple industries, not only helping companies reduce operating costs, but also improving output and quality, thereby achieving a win-win situation of economic benefits and sustainable development.

[0095] The following details how to automatically adjust the operating parameters of the conveying and purging stages based on decision trees by real-time monitoring of multi-dimensional data during the powder material conveying process.

[0096] For example, the multidimensional data also includes powder material characteristic data; when it is determined based on the differential pressure data that the powder material conveying time needs to be adjusted, a decision is made based on the multidimensional data. For example, firstly, when the differential pressure data meets a first preset condition, a decision is made based on the multidimensional data, and when the powder material characteristic data meets the condition, a first decision result is obtained; then, based on the first decision result, a target conveying time is obtained, the target conveying time including extending the conveying time.

[0097] Specifically, the characteristic data of powder materials can be referenced from the description section of the input layer data of the decision tree mentioned above. During the material conveying process in the positive pressure conveying system, the temporal changes of multi-dimensional data are monitored in real time. For example, the temporal changes and correlations of differential pressure data ΔP and gas flow rate Q can be monitored in real time (e.g., a sudden increase in ΔP accompanied by a decrease in Q often indicates blockage), thereby adjusting the conveying operation parameters in a timely manner to prevent pipeline blockage. Under normal flow conditions, if the system is under high differential pressure (first preset condition, e.g., ΔP>8kPa) and the material is a large-particle-size, high-viscosity material (second preset condition, material viscosity η>30cP), an instruction related to extending the conveying time (target conveying time) is output to ensure that settling materials fully enter the storage silo. It should be noted that by monitoring multi-dimensional data in real time, the conveying time can also be automatically adjusted and shortened according to the corresponding operating conditions, which can avoid excessive gas consumption and reduce energy consumption; however, this is not limited here.

[0098] In the technical solution of this application embodiment, when the differential pressure data meets the first preset condition, a decision is made based on multi-dimensional data, and when the powder material characteristic data meets the condition, a first decision result is obtained. Then, based on the first decision result, the target conveying time is obtained. By monitoring the differential pressure change in real time to feed back the flow rate change, the conveying time can be dynamically adjusted to ensure smooth material flow, reduce blockage in the system, and reduce the frequency of maintenance or replacement of equipment (such as conveying pipelines, valves and air pumps), thereby extending the service life of the conveying system and related equipment.

[0099] For example, the multi-dimensional data also includes gas flow data. When the gas flow data meets the fourth preset condition, a decision is made based on the multi-dimensional data to obtain a third decision result, wherein the third decision result includes airflow compensation. Then, based on the third decision result, the airflow for conveying the reinforced powder material is controlled.

[0100] Specifically, the system monitors the temporal changes of multi-dimensional data in real time. When the system is at a low flow rate (fourth preset condition, such as a sudden drop in gas flow rate Q > 20%), the decision tree outputs airflow compensation-related adjustment operation instructions. For example, when the system is under high pressure differential, low flow rate, and low material fluidity, the system controls and enhances the conveying airflow pressure to overcome conveying resistance, enhance driving force, and ensure the stability of the conveying system.

[0101] In the technical solution of this application embodiment, when the gas flow data meets the fourth preset condition, a decision is made based on multi-dimensional data to obtain a third decision result. Then, based on the third decision result, the conveying airflow of the enhanced powder material is controlled, thereby automatically adjusting the conveying operation through real-time monitoring, optimizing the material delivery rate according to different conveying conditions, ensuring smoother material flow, reducing material retention and pipeline pressure fluctuations, and improving conveying efficiency.

[0102] For example, when it is determined that the pipeline purging time needs to be adjusted based on differential pressure data, a decision is made based on multi-dimensional data. For example, firstly, when the differential pressure data meets a third preset condition, a decision is made based on multi-dimensional data to obtain a second decision result; then, based on the second decision result, a target purging time is obtained, which includes extending the purging time.

[0103] Specifically, during the purging phase, the temporal changes of multi-dimensional data are monitored in real time. Within a powder material delivery cycle, if the differential pressure data gradually decreases and does not return to zero (third preset condition, e.g., ΔP recovery delay > 10s), the decision tree outputs instructions related to increasing the purging intensity. For example, when the differential pressure data is not zero and the material is a high-humidity fine powder, the purging time is extended to thoroughly remove easily residual materials and avoid cross-contamination and the risk of blockage during the next startup. Another example is when the pipeline is in a high-temperature environment and the material is viscous, the purging air volume or pressure is increased to prevent heat-sensitive or viscous materials from cooling and solidifying. It should be noted that by monitoring multi-dimensional data in real time, the purging time can also be automatically adjusted and shortened according to the corresponding operating conditions. This ensures pipeline cleanliness while avoiding excessive purging operations, thereby reducing energy waste; however, this is not limited here.

[0104] In the technical solution of this application embodiment, firstly, when the differential pressure data meets the third preset condition, a decision is made based on multi-dimensional data to obtain a second decision result. Then, based on the second decision result, the target purging time is obtained. Thus, by monitoring the differential pressure change in real time, the purging time is adjusted in real time according to the material flow in the pipeline to clean up the accumulated material in time and avoid blockage.

[0105] For example, when the differential pressure data meets the fifth preset condition and the gas flow data meets the sixth preset condition, a decision is made based on multi-dimensional data to obtain a fourth decision result, wherein the fourth decision result includes backflushing or shutdown inspection; then, based on the fourth decision result, the backflushing pipeline or shutdown inspection is controlled.

[0106] Specifically, when the differential pressure data continues to rise sharply (fifth preset condition) and the gas flow rate drops precipitously (sixth preset condition), an emergency alarm is triggered. The decision tree outputs an adjustment operation of backflushing or shutdown inspection. The control system performs backflushing of the pipeline or shutdown inspection to clarify the location of the blockage and intervene.

[0107] In the technical solution of this application embodiment, when the differential pressure data meets the fifth preset condition and the gas flow data meets the sixth preset condition, a decision is made based on multi-dimensional data to obtain a fourth decision result. Then, based on the fourth decision result, the backflush pipeline is controlled or the machine is shut down for inspection, thereby ensuring the stability, efficiency and reliability of the system, reducing downtime in the production process, avoiding production stoppages caused by blockage of the conveying pipeline or material retention, reducing the manual intervention cost of downtime and maintenance, and improving production efficiency and environmental friendliness.

[0108] In summary, the positive pressure conveying anti-clogging control method for powder materials provided in this application, through the combined control of PLC single-machine control and decision tree, can adaptively adjust the material delivery time and pipeline purging time based on various preset conditions during the material conveying process, thereby improving the system's stability, efficiency, and economy. The first preset condition can be that the positive pressure conveying system is in a high pressure differential state during material conveying; the second preset condition can be that the conveyed material is a large-particle-size, high-viscosity material; the third preset condition can be that the pressure differential data gradually decreases but does not return to zero during the material conveying cycle, indicating residual material in the pipeline; the fourth preset condition can be that the system is in a low flow rate state during material conveying; the fifth preset condition can be that the pressure differential data continuously and sharply increases during material conveying; the sixth preset condition can be that the gas flow rate drops sharply during material conveying; and the seventh preset condition can be that the pressure differential data is zero, indicating that one material delivery cycle is completed. It should be noted that the specific data thresholds involved in the above preset conditions can be determined according to actual operating conditions and are not specifically limited here.

[0109] In one example, by monitoring multi-dimensional data in real time during the delivery of multi-element cathode materials, different adjustment operations can be decided based on the different risk types indicated by the temporal changes in the data during the operating conditions, thereby ensuring the stability of the system and avoiding corresponding risks. The dynamic decision tree strategy for multi-element cathode material delivery is shown in the table below:

[0110]

[0111]

[0112] The efficiency of control in performing corresponding operations based on the decision tree results is shown in the table below:

[0113]

[0114] This application provides a positive pressure conveying anti-clogging control system for powder materials, the system being used to execute the steps of the method in any of the above embodiments.

[0115] Figure 7A block diagram of a positive pressure conveying anti-clogging control device for powder materials according to an embodiment of this application is shown.

[0116] like Figure 7 As shown, the positive pressure conveying anti-blocking control device 700 for powder materials provided in this application includes:

[0117] The data acquisition module 710 is used to collect multi-dimensional data on the impact of pipeline blockage during the transportation of powder materials in a positive pressure conveying pipeline. The multi-dimensional data includes the pressure difference data between the main pipeline and the auxiliary pipeline.

[0118] The decision module 720 is used to make decisions based on multi-dimensional data when it is determined that the powder material delivery time and / or pipeline purging time need to be adjusted based on differential pressure data, so as to obtain the target delivery time and / or target purging time.

[0119] The control module 730 is used to control the conveying of powder materials based on a target conveying time, and / or to control pipeline purging based on a target purging time.

[0120] For example, the multidimensional data also includes powder material characteristic data; when it is determined based on the differential pressure data that the powder material conveying time needs to be adjusted, the decision is made based on the multidimensional data, including: when the differential pressure data meets a first preset condition, the decision is made based on the multidimensional data, and when the powder material characteristic data meets a second preset condition, a first decision result is obtained; based on the first decision result, a target conveying time is obtained, the target conveying time including extending the conveying time.

[0121] For example, when it is determined that the pipeline purging time needs to be adjusted based on differential pressure data, a decision is made based on multi-dimensional data, including: when the differential pressure data meets a third preset condition, a decision is made based on multi-dimensional data to obtain a second decision result; based on the second decision result, a target purging time is obtained, the target purging time including extending the purging time.

[0122] For example, the multi-dimensional data also includes gas flow data, and the device 700 further includes an airflow decision control module for: making a decision based on the multi-dimensional data when the gas flow data meets a fourth preset condition, and obtaining a third decision result, wherein the third decision result includes airflow compensation; and controlling the conveying airflow of the reinforced powder material based on the third decision result.

[0123] For example, the device 700 further includes a backflush decision control module, which is used to: make a decision based on multi-dimensional data when the differential pressure data meets the fifth preset condition and the gas flow data meets the sixth preset condition, and obtain a fourth decision result, wherein the fourth decision result includes backflush or shutdown inspection; and control the backflush pipeline or shutdown inspection based on the fourth decision result.

[0124] For example, the device 700 further includes a comparison module for: acquiring and saving differential pressure data from a previous time step; and comparing the differential pressure data at the current time step with the differential pressure data from a previous time step to determine whether pipeline purging is required.

[0125] For example, comparing the differential pressure data at the current moment with the differential pressure data at the previous moment to determine whether pipeline purging is required includes: determining that the differential pressure data at the current moment is less than the differential pressure data at the previous moment; and controlling pipeline purging to be performed if the differential pressure data at the current moment meets a seventh preset condition.

[0126] For example, the target delivery time, target purging time, airflow compensation, and backflushing or shutdown inspection are obtained based on a decision tree. The decision tree includes: an input layer, used to input multi-dimensional data into the decision tree during the delivery of powder materials through a positive pressure pipeline; a core decision node, connected to the input layer, used to make decisions based on multi-dimensional data when it is determined that the powder material delivery time and / or pipeline purging time need to be adjusted based on differential pressure data, when the gas flow rate data meets a fourth preset condition, and when the differential pressure data meets a fifth preset condition and the gas flow rate data meets a sixth preset condition, to obtain a first decision result, a second decision result, a third decision result, and a fourth decision result; and an output layer, connected to the core decision node, used to output the target delivery time, target purging time, airflow compensation, and backflushing or shutdown inspection based on the first decision result, the second decision result, the third decision result, and the fourth decision result, respectively.

[0127] Figure 8 A schematic diagram of an electronic device according to an embodiment of this application is shown.

[0128] This application provides an electronic device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the method in any of the above embodiments.

[0129] like Figure 8 As shown, for ease of understanding, embodiments of this application illustrate a specific electronic device 800.

[0130] Electronic device 800 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0131] like Figure 8 As shown, the electronic device 800 includes a computing unit 801, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 into a random access memory (RAM) 803. The RAM 803 may also store various programs and data required for the operation of the electronic device 800. The computing unit 801, ROM 802, and RAM 803 are interconnected via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0132] Multiple components in electronic device 800 are connected to I / O interface 805. These components include: input unit 806, such as a keyboard or mouse; output unit 807, such as various types of displays or speakers; storage unit 808, such as a disk or optical disk; and communication unit 809, such as a network interface card (NIC), modem, or wireless transceiver. Communication unit 809 allows electronic device 800 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0133] The computing unit 801 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods described above. For example, in some embodiments, any one or more of the methods described above can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 808. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 800 via ROM 802 and / or communication unit 809. When the computer program is loaded into RAM 803 and executed by the computing unit 801, one or more steps of any one or more of the methods described above can be performed. Alternatively, in other embodiments, the computing unit 801 can be configured to perform any one or more of the methods described above by any other suitable means (e.g., by means of firmware).

[0134] This application provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the method in any of the above embodiments.

[0135] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequential list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this application, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0136] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0137] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and not to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and they should all be covered within the scope of the claims and specification of this application. In particular, as long as there is no structural conflict, the various technical features mentioned in the embodiments can be combined in any way. This application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A method for preventing blockage during positive pressure conveying of powder materials, characterized in that, The method includes: During the process of conveying powder materials in a positive pressure conveying pipeline, multi-dimensional data affecting pipeline blockage are collected, including the pressure difference data between the main pipeline and the auxiliary pipeline. If it is determined based on the differential pressure data that the powder material delivery time and / or pipeline purging time need to be adjusted, a decision is made based on the multi-dimensional data to obtain the target delivery time and / or target purging time. The conveying of powder materials is controlled based on the target conveying time, and / or the pipeline purging is controlled based on the target purging time.

2. The positive pressure conveying anti-blocking control method for powder materials according to claim 1, characterized in that, The multi-dimensional data also includes powder material characteristic data; when it is determined based on the differential pressure data that the powder material conveying time needs to be adjusted, a decision is made based on the multi-dimensional data, including: When the differential pressure data meets the first preset condition, a decision is made based on the multi-dimensional data, and when the powder material characteristic data meets the second preset condition, a first decision result is obtained. Based on the first decision result, the target delivery time is obtained, and the target delivery time includes extended delivery time.

3. The positive pressure conveying anti-blocking control method for powder materials according to claim 1, characterized in that, If it is determined based on the differential pressure data that the pipeline purging time needs to be adjusted, a decision is made based on the multi-dimensional data, including: If the differential pressure data meets the third preset condition, a decision is made based on the multi-dimensional data to obtain a second decision result. Based on the second decision result, the target purging time is obtained, and the target purging time includes extending the purging time.

4. The method for preventing blockage during positive pressure conveying of powder materials according to any one of claims 1-3, characterized in that, The multi-dimensional data also includes gas flow rate data, and the method further includes: When the gas flow data meets the fourth preset condition, a decision is made based on the multi-dimensional data to obtain a third decision result, wherein the third decision result includes airflow compensation. Based on the third decision result, the airflow for conveying the reinforced powder material is controlled.

5. The positive pressure conveying anti-blocking control method for powder materials according to claim 4, characterized in that, The method further includes: If the differential pressure data meets the fifth preset condition and the gas flow rate data meets the sixth preset condition, a decision is made based on the multi-dimensional data to obtain a fourth decision result, wherein the fourth decision result includes backflushing or shutdown inspection. Based on the fourth decision result, control the backflush pipeline or shut down for inspection.

6. The method for preventing blockage during positive pressure conveying of powder materials according to any one of claims 1-5, characterized in that, The method further includes: Collect and save the differential pressure data from the preceding time step; The differential pressure data at the current moment is compared with the differential pressure data at the previous moment to determine whether pipeline purging is required.

7. The positive pressure conveying anti-blocking control method for powder materials according to claim 6, characterized in that, The step of comparing the current differential pressure data with the differential pressure data from previous moments to determine whether pipeline purging is required includes: It is determined that the differential pressure data at the current moment is less than the differential pressure data at the previous moment; If the differential pressure data at the current moment meets the seventh preset condition, control the pipeline to be purged.

8. The positive pressure conveying anti-blocking control method for powder materials according to claim 5, characterized in that, The target delivery time, the target purging time, the airflow compensation, and the backflushing or shutdown check are obtained based on a decision tree; the decision tree includes: An input layer is used to input the multi-dimensional data into the decision tree during the process of conveying the powder material through the positive pressure conveying pipeline. The core decision node, connected to the input layer, is used to make decisions based on the multi-dimensional data when it is determined that the powder material delivery time and / or the pipeline purging time need to be adjusted based on the differential pressure data, when the gas flow data meets the fourth preset condition, and when the differential pressure data meets the fifth preset condition and the gas flow data meets the sixth preset condition, to obtain a first decision result, a second decision result, a third decision result, and a fourth decision result. The output layer, connected to the core decision node, is used to output the target delivery time, the target purging time, the airflow compensation, and the backflushing or shutdown check based on the first decision result, the second decision result, the third decision result, and the fourth decision result, respectively.

9. A positive pressure conveying anti-clogging control system for powder materials, characterized in that, The system is used to perform the steps of the method according to any one of claims 1-8.

10. A positive pressure conveying anti-blocking control device for powder materials, characterized in that, The device includes: The data acquisition module is used to collect multi-dimensional data affecting pipeline blockage during the transportation of powder materials in a positive pressure pipeline. The multi-dimensional data includes the pressure difference data between the main pipeline and the auxiliary pipeline. The decision module is used to make a decision based on the multi-dimensional data when it is determined that the powder material delivery time and / or pipeline purging time need to be adjusted based on the differential pressure data, and to obtain the target delivery time and / or target purging time. The control module is used to control the conveying of powder materials based on the target conveying time, and / or control pipeline purging based on the target purging time.

11. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1-8.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1-8.

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