Method, device and equipment for pre-judging blockage of refining agent in furnace and medium

Abstract

The invention relates to the field of data processing, in particular to a pre-judgment method, device and equipment for blockage of a refining agent in a furnace and a medium. The method comprises the steps that the current environment temperature and humidity are received, the predicted refining agent flow corresponding to a conveying pipeline in a current smelting furnace is predicted based on received environment data, meanwhile, the actual refining agent flow in the conveying pipeline is obtained in real time, and whether the predicted refining agent flow and the actual refining agent flow are consistent or not is judged by comparing the predicted refining agent flow and the actual refining agent flow. If the predicted flow is not consistent with the actual flow, the system further obtains pressure data corresponding to the conveying pipeline, and comprehensively judges whether the conveying pipeline is blocked or not based on the predicted refining agent flow, the actual refining agent flow and the pressure data, so that the stability and safety of the refining process are improved; and meanwhile, production interruption and refining agent waste caused by blockage are reduced, so that the production efficiency and the economic benefit are effectively improved.

Description

Technical Field

[0001] The present application relates to the field of data processing, and in particular to a method, device, equipment and medium for predicting blockage of a refining agent in a furnace. Background Art

[0002] Melting furnaces play a vital role in modern industrial production, especially in metal processing and refining. Melting furnaces convert raw materials into the desired metal products through high-temperature treatment. This process requires not only precise temperature control, but also ensures that various auxiliary materials (such as refining agents) can be stably supplied to the melting furnace. However, in actual operation, since the conveying pipe partially extends into the furnace and the temperature inside the furnace is high, the temperature of the conveying pipe rises under the action of heat transfer. During the process of refining agent conveying powder through airflow, part of the powder melts and adheres to the inside of the conveying pipe cavity. Over time, it is easy to cause blockage of the feed cavity of the refiner. At the same time, if the airflow is not timely, the aluminum liquid will reflux and cool along the feed cavity, which will also cause blockage of the feed cavity.

[0003] In the existing technology, in order to solve the problem of pipeline blockage, regular manual inspections are usually performed to visually or manually detect the status of the pipeline. Although this method is simple and direct, it is time-consuming, labor-intensive and easy to miss. Alternatively, a pressure sensor is installed to monitor the pressure changes in the pipeline to determine whether there is a blockage. Although this method can achieve automated monitoring, the sensor is sensitive to environmental conditions and is prone to misjudgment. Especially in high temperature and high humidity environments, the performance of the sensor will be affected, thereby reducing the accuracy of monitoring. Therefore, how to effectively monitor the blockage of the pipeline has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] In order to effectively monitor the blockage of the conveying pipeline, the present application provides a method, device, equipment and medium for predicting the blockage of the refining agent in the furnace.

[0005] In a first aspect, the present application provides a method for predicting blockage of a refining agent in a furnace, which adopts the following technical solution: A method for predicting blockage of a refining agent in a furnace, comprising: Receiving current environmental data of the smelting furnace, wherein the environmental data includes current environmental temperature and current environmental humidity; Based on the environmental data, predicting an expected refining agent flow rate corresponding to a delivery pipeline in the current smelting furnace, and acquiring an actual refining agent flow rate corresponding to the delivery pipeline in real time, wherein the current smelting furnace corresponds to a current refining agent; Determining whether the estimated refining agent flow rate is consistent with the actual refining agent flow rate; If the estimated refining agent flow rate is inconsistent with the actual refining agent flow rate, obtaining pressure data corresponding to the delivery pipeline; Based on the predicted refining agent flow rate, the actual refining agent flow rate and the pressure data, it is determined whether the transport pipeline is blocked.

[0006] By adopting the above technical solution, the current ambient temperature and humidity of the smelting furnace are received, and based on the received environmental data, the expected refining agent flow corresponding to the conveying pipeline in the current smelting furnace is predicted. At the same time, the actual refining agent flow in the conveying pipeline is obtained in real time, and the expected refining agent flow and the actual refining agent flow are compared to determine whether they are consistent. If the expected flow is inconsistent with the actual flow, the system will further obtain the pressure data corresponding to the conveying pipeline, and based on the expected refining agent flow, the actual refining agent flow and the pressure data, comprehensively determine whether the conveying pipeline is blocked, thereby improving the stability and safety of the refining process, while reducing production interruptions and refining agent waste caused by blockage, thereby effectively improving production efficiency and economic benefits.

[0007] In a possible implementation, predicting the estimated refining agent flow rate corresponding to the transport pipeline in the current smelting furnace based on the environmental data includes: Obtaining the refining agent addition amount corresponding to the current smelting furnace, and determining the planned refining agent flow rate corresponding to the refining agent addition amount; Determine a first influence value and a second influence value, wherein the first influence value is an influence value of the current ambient temperature on the planned refining agent flow rate, and the second influence value is an influence value of the current ambient humidity on the planned refining agent flow rate; Based on the planned refining agent flow rate, the first impact value, and the second impact value, an estimated refining agent flow rate corresponding to the conveying pipeline in the current smelting furnace is calculated.

[0008] By adopting the above technical solution, by comprehensively considering the key factors such as the amount of refining agent added, the current ambient temperature and humidity, the expected refining agent flow rate of the current smelting furnace can be more accurately predicted, which not only improves the accuracy of the prediction, but also helps to timely discover and adjust abnormal conditions in the refining process, thereby ensuring the stability and continuity of the refining process. At the same time, by accurately predicting the refining agent flow rate, the use of refining agents can also be optimized, waste can be reduced, and production efficiency and economic benefits can be further improved.

[0009] In a possible implementation, determining the planned refining agent flow rate corresponding to the refining agent addition amount includes: Acquire a historical loss amount corresponding to the current smelting furnace, wherein the historical loss amount includes an addition amount difference between each historical refining agent addition amount and a corresponding actual refining agent addition amount; Based on the historical loss amount and the refining agent addition amount, a planned refining agent flow rate corresponding to the refining agent addition amount is determined.

[0010] By adopting the above technical solution, by introducing the concept of historical loss, and determining the planned refining agent flow rate based on the historical loss and the current refining agent addition amount, it is possible to more accurately predict and plan the amount of refining agent required in the refining process. It not only improves the accuracy of refining agent use, reduces the problem of poor refining effect or waste of resources caused by insufficient or excessive addition, but also helps to optimize the refining process, improve production efficiency and product quality. At the same time, by continuously recording and updating historical loss, it is also possible to continuously learn and adapt to changes in the refining process, further improving the accuracy and reliability of the prediction.

[0011] In a possible implementation manner, determining the first impact value and the second impact value includes: Acquire historical data corresponding to the current smelting furnace, the historical data including target historical addition amount, target historical flow rate and historical blockage data corresponding to different environmental data, the target historical addition amount is the historical addition amount corresponding to the target refining agent, the target historical flow rate is the historical flow rate corresponding to the target refining agent, and the particle size of the target refining agent is the same as that of the current refining agent, and the historical blockage data includes the historical duration of the blockage state from unblocked to blocked and the historical pressure value change curve; Based on the historical data corresponding to the current smelting furnace, a first corresponding relationship between the ambient temperature and the refining agent flow rate is established, and a second corresponding relationship between the ambient humidity and the refining agent flow rate is established; The first influence value is determined based on the first correspondence relationship and the amount of refining agent added, and the second influence value is determined based on the second correspondence relationship and the amount of refining agent added.

[0012] By adopting the above technical solution and deeply analyzing historical data, the corresponding relationship between ambient temperature and humidity and refining agent flow rate was established, and the specific impact value of environmental factors on refining agent flow rate was determined accordingly. It not only improves the accuracy and scientificity of the prediction, but also helps to have a deeper understanding of the physical and chemical mechanisms in the refining process. By considering environmental factors, the refining agent flow rate can be predicted and adjusted more accurately, thereby effectively reducing the risk of blockage and improving production efficiency and product quality.

[0013] In a possible implementation, if the estimated refining agent flow rate is inconsistent with the actual refining agent flow rate, obtaining pressure data corresponding to the delivery pipeline includes: Calculating a flow difference between the estimated refining agent flow and the actual refining agent flow; Determining whether the flow difference is a positive value; If the flow difference is a positive value, obtaining pressure data corresponding to the delivery pipeline; If the flow difference is a negative value, an alarm message is generated.

[0014] By adopting the above technical solution, by calculating the difference between the expected refining agent flow rate and the actual refining agent flow rate, and taking different countermeasures according to the positive and negative difference, abnormal conditions in the refining process can be discovered and handled in a timely manner. When the flow difference is positive, by obtaining the pressure data of the conveying pipeline, potential blockage or leakage problems can be quickly located and solved to ensure the smooth progress of the refining process. When the flow difference is negative, by generating an alarm message, the operator can be reminded to adjust the amount of refining agent used in time or check other possible abnormal conditions, thereby avoiding waste of resources and potential safety risks.

[0015] In a possible implementation, determining whether the transport pipeline is blocked based on the estimated refining agent flow rate, the actual refining agent flow rate, and the pressure data includes: Determining whether the flow difference is greater than a flow difference threshold; If the flow difference is greater than the flow difference threshold, it is determined that the delivery pipeline is blocked.

[0016] By adopting the above technical solution, by comparing the difference between the expected refining agent flow rate and the actual refining agent flow rate with the preset flow difference threshold, it is possible to quickly and accurately determine whether the conveying pipeline is blocked, which not only improves the efficiency and accuracy of blockage detection, but also helps to take timely measures to solve the blockage problem, thereby avoiding interruptions and waste in the refining process. By introducing the flow difference threshold, it is also possible to reduce false alarms and missed alarms to a certain extent, improving the stability and reliability of the overall system.

[0017] In a possible implementation, the pressure data includes current pressure values ​​corresponding to each specific position corresponding to the delivery pipeline, and when the flow difference is not greater than the flow difference threshold, determining whether the delivery pipeline is blocked based on the flow difference and the pressure data includes: Obtain the standard pressure value corresponding to each characteristic position, and compare each standard pressure value with the corresponding current pressure value; If there is a current pressure value greater than the corresponding standard pressure value, the current pressure value greater than the corresponding standard pressure value is determined as the target pressure value, and the target thickness corresponding to the target pressure value is determined; Obtaining the pipe width corresponding to the target pressure value; Based on the pipeline width and the target thickness, it is determined whether the transport pipeline is blocked.

[0018] By adopting the above technical solution, by comparing the current pressure value with the standard pressure value, and combining parameters such as target thickness and pipeline width, it is possible to more precisely and accurately determine whether the conveying pipeline is blocked. It not only improves the sensitivity of blockage detection, but also helps to timely discover potential blockage risks, so as to take preventive measures to avoid blockage. By comprehensively considering multiple parameters, this solution can provide a more reliable basis for judgment when the flow difference is not large but there may be a risk of blockage, ensuring the continuity and stability of the refining process.

[0019] In a second aspect, the present application provides a device for predicting refining agent blockage in a furnace, which adopts the following technical solution: A device for predicting blockage of a refining agent in a furnace, comprising: A receiving module, used for receiving the current environmental data of the smelting furnace, wherein the environmental data includes the current environmental temperature and the current environmental humidity; A prediction module, used for predicting the estimated refining agent flow rate corresponding to the conveying pipeline in the current smelting furnace based on the environmental data, and obtaining the actual refining agent flow rate corresponding to the conveying pipeline in real time, wherein the current smelting furnace corresponds to the current refining agent, and the current refining agent is aluminum powder; A first determination module, configured to determine whether the estimated refining agent flow rate is consistent with the actual refining agent flow rate; an acquisition module, configured to acquire pressure data corresponding to the delivery pipeline if the estimated refining agent flow rate is inconsistent with the actual refining agent flow rate; The second determination module is used to determine whether the conveying pipeline is blocked based on the expected refining agent flow rate, the actual refining agent flow rate and the pressure data.

[0020] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device, comprising: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the method for predicting refining agent blockage in a furnace as described in the first aspect above.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium includes: a computer program that can be loaded by a processor and execute the method for predicting refining agent blockage in a furnace as described in the first aspect.

[0022] In summary, this application includes the following beneficial technical effects: By receiving the current ambient temperature and humidity, based on the received environmental data, the estimated refining agent flow corresponding to the conveying pipeline in the current smelting furnace is predicted. At the same time, the actual refining agent flow in the conveying pipeline is obtained in real time, and the estimated refining agent flow and the actual refining agent flow are compared to determine whether they are consistent. If the estimated flow is inconsistent with the actual flow, the system will further obtain the pressure data corresponding to the conveying pipeline, and based on the estimated refining agent flow, the actual refining agent flow and the pressure data, comprehensively determine whether the conveying pipeline is blocked, thereby improving the stability and safety of the refining process, while reducing production interruptions and refining agent waste caused by blockage, thereby effectively improving production efficiency and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a flow chart of a method for predicting refining agent blockage in a furnace provided in an embodiment of the present application; Figure 2 It is a block diagram of a device for predicting refining agent blockage in a furnace provided in an embodiment of the present application; Figure 3 It is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The following is combined with Figure 1 -Attached Figure 3 This application is described in further detail.

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] In order to facilitate understanding of the technical solution proposed in this application, several elements introduced in the description of this application are first introduced here. It should be understood that the following introduction is only for the convenience of understanding these elements, so as to understand the content of the embodiments of this application, and does not necessarily cover all possible situations.

[0027] The aluminum alloy smelting process is a complex process involving multiple links and parameter control. High-quality aluminum alloy products can be produced by precisely controlling the steps of raw material preparation, smelting process, refining and modification, composition adjustment and physical and chemical analysis, casting and cooling, quality control and testing. Among them, refining agents are generally used in the refining and modification process. Refining agents are white powder or granular fluxes, which are mainly made of a variety of inorganic salts dried and mixed in a certain proportion. They are mainly used to remove impurities and undesirable components in the metal melt to make the metal melt purer.

[0028] At present, the refining agents widely used in aluminum alloy smelting processes are mainly in powder form, and the precise control of the amount of refining agents added is crucial to ensure the smelting quality. However, the use of refining agents in high-temperature working environments faces a significant challenge: the powder is prone to agglomeration and even blockage inside the conveying pipeline, which greatly reduces production efficiency and may have a negative impact on product quality. In the past, the response strategies to this problem mostly relied on manual monitoring and manual adjustment, which not only significantly increased the labor intensity of operators, but also had significant limitations in achieving real-time monitoring and rapid response, thereby restricting the pace of development of production processes towards automation and intelligence.

[0029] In view of this, the present application embodiment provides a method for predicting the blockage of refining agent in a furnace, such as Figure 1 As shown, the method provided in the embodiment of the present application is performed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. The method includes steps S101 to S105, wherein: Step S101, receiving environmental data of the current smelting furnace.

[0030] Among them, environmental data includes the current ambient temperature and the current ambient humidity. Specifically, temperature sensors and humidity sensors are installed at specific locations of the smelting furnace, and the electronic equipment is connected to the temperature sensor and humidity sensor respectively by wired (such as shielded cable connection) or wireless (such as using wireless communication protocols such as Zigbee and Bluetooth). More specifically, the temperature sensor can sense the ambient temperature in real time and transmit the corresponding electrical signal (such as the thermal resistor produces different resistance values ​​as the temperature changes, and then converts it into different voltage signals) to the electronic equipment. The humidity sensor is the same (for example, the capacitive humidity sensor changes the capacitance value according to the humidity, and then converts it into an electrical signal for transmission). The analog-to-digital conversion module built into the electronic equipment converts the received analog electrical signal into a digital signal, thereby obtaining the specific values ​​of the current ambient temperature and the current ambient humidity.

[0031] Step S102: Based on the environmental data, predict the estimated refining agent flow rate corresponding to the delivery pipeline in the current smelting furnace, and obtain the actual refining agent flow rate corresponding to the delivery pipeline in real time.

[0032] Among them, the current smelting furnace corresponds to the current refining agent. The expected refining agent flow rate is the flow rate that the current refining agent should reach when the current smelting furnace is not blocked, and the actual refining agent flow rate is the flow rate that the current refining agent actually reaches under the current smelting furnace. Among them, the flow rate is used to characterize the amount flowing through a certain node of the conveying pipeline per unit time (this amount can be measured by volume, called volume flow; it can also be measured by mass, called mass flow).

[0033] Since the current refining agent flow is related to the current temperature and humidity, as well as the current refining agent addition amount, the smelting plan including the refining agent addition amount can be obtained from the database corresponding to the current smelting furnace, and the addition amount corresponding to the current refining level, the current temperature and the current humidity are used as inputs, input into the flow prediction model, and the refining agent flow output by the flow prediction model is obtained to obtain the estimated refining degree flow corresponding to the conveying pipeline in the current smelting furnace. Among them, the flow prediction model is obtained through training with a large number of temperature samples, humidity samples, addition amount samples and refining agent flow samples, among which the temperature samples, humidity samples, addition amount samples and refining agent flow samples are all data samples obtained under the condition that the conveying pipeline of the smelting furnace is not blocked.

[0034] Furthermore, a flow meter is installed on the conveying pipeline (such as an electromagnetic flow meter, which uses the principle of electromagnetic induction to measure the flow rate based on the induced electromotive force generated when the refining agent flows through the pipeline). The flow meter transmits the actual refining agent flow data measured in real time to the electronic device through a communication interface (such as RS485 and other communication interfaces), and the electronic device obtains the actual refining agent flow corresponding to the current smelting furnace. Among them, the flow meter is an instrument for measuring the flow of fluid in the pipeline (here refers to the current refining agent). Through different working principles (electromagnetic induction, differential pressure, volumetric, etc.), it accurately obtains the amount of fluid passing through the cross-section of the pipeline per unit time, providing a basis for grasping the actual flow. It is worth noting that there is a positional correspondence between the expected refining agent flow and the actual refining agent flow, that is, the same position of the conveying pipeline corresponds to an expected refining agent flow and an actual refining agent flow.

[0035] Step S103: Determine whether the estimated refining agent flow rate is consistent with the actual refining agent flow rate.

[0036] Since the blockage of the smelting furnace pipeline will affect the flow of the refining agent to a certain extent, after obtaining the expected refining agent flow and the actual refining agent flow, the expected refining agent flow can be compared with the actual refining agent flow to preliminarily determine whether the current smelting furnace is blocked. If the expected refining agent flow is inconsistent with the actual refining agent flow, it means that the current smelting furnace may be blocked.

[0037] Step S104: If the estimated refining agent flow rate is inconsistent with the actual refining agent flow rate, the pressure data corresponding to the delivery pipeline is obtained.

[0038] Among them, pressure sensors are installed at multiple key positions of the delivery pipeline (such as the starting end of the pipeline, the elbow, before and after the valve, etc.), and the pressure data may include the pressure values ​​corresponding to each of the multiple specific positions on the delivery pipeline.

[0039] Specifically, the pressure sensor is connected to the electronic device through a signal line. When the refining agent flow rate is inconsistent with the actual refining agent flow rate, it may be that the delivery pipeline is blocked or it may be normal refining agent loss. Therefore, the electronic device can send a data acquisition instruction to the pressure sensor, and the pressure sensor transmits the detected pressure value to the electronic device in the form of an electrical signal, and the electronic device converts it into a corresponding pressure value to obtain the pressure data corresponding to the delivery pipeline.

[0040] Further, if the predicted refining agent flow rate is consistent with the actual flow meter flow rate, it is determined that the current smelting furnace is not blocked.

[0041] Step S105: determining whether the delivery pipeline is blocked based on the estimated refining agent flow rate, the actual refining agent flow rate and the pressure data.

[0042] When the refining agent flow rate is inconsistent with the actual refining agent flow rate, it may be that the conveying pipeline is blocked, or it may be normal refining agent loss. Therefore, it is possible to determine whether the conveying pipeline is blocked based on the expected refining agent flow rate, the actual refining agent flow rate and the pressure data. Specifically, after obtaining the expected refining agent flow rate, the actual refining agent flow rate and the pressure data, the blockage judgment rule is obtained from the database corresponding to the current smelting furnace, so as to perform a comprehensive analysis and judgment according to the blockage judgment rule to determine whether the conveying pipeline is blocked. More specifically, according to the blockage judgment rule, the expected refining agent flow rate, the actual refining agent flow rate and the pressure data are processed respectively to obtain the blockage data corresponding to the blockage judgment rule, and it is determined whether the blockage data meets the blockage judgment rule. If the blockage data does not meet the blockage judgment rule, it is determined that the conveying pipeline corresponding to the current smelting furnace is blocked; similarly, if the plain data meets the blockage judgment rule, it is determined that the conveying pipeline corresponding to the current smelting furnace is not blocked. For example, the blockage data may be a first difference between the actual refining agent flow rate and the expected refining agent flow rate, and a second difference between the pressure data and the normal pressure fluctuation range, and the first difference is compared with the first difference threshold corresponding to the blockage judgment rule, and the second difference is compared with the second difference threshold corresponding to the blockage judgment rule to determine whether the transmission pipeline is blocked. The blockage judgment rule is based on a large number of past flow and pressure data of normal transmission and blockage of the pipeline.

[0043] The embodiment of the present application provides a method for predicting the blockage of refining agent in the furnace, which receives the current ambient temperature and humidity, and based on the received environmental data, predicts the expected refining agent flow corresponding to the conveying pipeline in the current smelting furnace, and at the same time, obtains the actual refining agent flow in the conveying pipeline in real time, and judges whether they are consistent by comparing the expected refining agent flow and the actual refining agent flow. If the expected flow is inconsistent with the actual flow, the system will further obtain the pressure data corresponding to the conveying pipeline, and comprehensively judge whether the conveying pipeline is blocked based on the expected refining agent flow, the actual refining agent flow and the pressure data, thereby improving the stability and safety of the refining process, while reducing production interruptions and refining agent waste caused by blockage, thereby effectively improving production efficiency and economic benefits.

[0044] In a possible implementation of the embodiment of the present application, the prediction module 202 predicts the estimated refining agent flow rate corresponding to the conveying pipeline in the current smelting furnace based on the environmental data, including: Obtain the amount of refining agent added corresponding to the current smelting furnace, and determine the planned refining agent flow corresponding to the amount of refining agent added; Determine a first influence value and a second influence value, the first influence value is the influence value of the current ambient temperature on the planned refining agent flow rate, and the second influence value is the influence value of the current ambient humidity on the planned refining agent flow rate; Based on the planned refining agent flow rate, the first impact value and the second impact value, the estimated refining agent flow rate corresponding to the conveying pipeline in the current smelting furnace is calculated.

[0045] Since the amount of refining agent added has a certain influence on the flow rate of the refining agent, the amount of refining agent added corresponding to the current smelting furnace can be obtained, and the estimated refining agent flow rate can be predicted based on the amount of refining agent added. Specifically, the smelting plan including the amount of refining agent added can be obtained from the database corresponding to the current smelting furnace to obtain the amount of refining agent added corresponding to the current smelting furnace. At this time, since the refining agent is in powder form, the temperature and humidity have a certain influence on the flow rate of the refining agent. Therefore, the optimal temperature and optimal humidity corresponding to the current refining agent can be obtained from the database corresponding to the current smelting furnace, and the refining agent flow rate corresponding to the current refining agent at the optimal temperature and optimal humidity can be obtained. The refining agent flow rate corresponding to the refining agent addition amount is obtained from the refining agent flow rate change curve of the refining agent addition amount, so as to obtain the planned refining agent flow rate.

[0046] Furthermore, the current ambient temperature and the current temperature are brought into the model of the relationship between environmental factors and the flow rate, and the first impact value corresponding to the current ambient temperature output by the model of the relationship between environmental factors and the flow rate is obtained (for example, for every 1°C increase in temperature, the planned refining agent flow rate increases or decreases by how many kilograms per second, etc.) and the second impact value corresponding to the current ambient humidity (for example, for every 1% increase in humidity, the specific value of the planned refining agent flow rate change). Among them, the model of the relationship between environmental factors and the flow rate is obtained by summarizing a large amount of preliminary experimental data. During the experiment, the ambient temperature and humidity are changed respectively, and the actual flow rate changes of the refining agent under different temperature and humidity conditions are measured, and the quantitative relationship between temperature, humidity and flow changes is established through data analysis (such as multiple regression analysis and other methods).

[0047] Furthermore, after obtaining the first impact value and the second impact value, the expected refining agent flow rate can be calculated according to the preset calculation formula. Specifically, the planned refining agent flow rate is taken as the basic value, and then adjusted according to the first impact value corresponding to the current ambient temperature and the second impact value corresponding to the current ambient humidity. For example, the planned refining agent flow rate is Q0 (unit: kg / s), the first impact value is Q1 (unit: kg / (s・℃), indicating the change in flow rate for every 1℃ change in temperature), the current ambient temperature is increased by T (unit: ℃) relative to the standard reference temperature, the second impact value is A2 (unit: kg / (s・%), indicating the change in flow rate for every 1% change in humidity), and the current ambient humidity is increased by H (unit: %) relative to the standard reference humidity. Then the calculation formula for the expected refining agent flow rate Q is Q=Q0+Q1*T+Q2*H, and the expected refining agent flow rate value under the current ambient temperature and humidity conditions is obtained through such calculation.

[0048] A possible implementation of the embodiment of the present application, in the above embodiment, determining the planned refining agent flow rate corresponding to the refining agent addition amount includes: Obtain the historical loss amount corresponding to the current smelting furnace, where the historical loss amount includes the difference between each historical refining agent addition amount and the corresponding actual refining agent addition amount; Based on the historical loss amount and the refining agent addition amount, a planned refining agent flow rate corresponding to the refining agent addition amount is determined.

[0049] Among them, the historical loss refers to the difference between the planned amount of refining agent added (historical refining agent addition amount) and the actual amount of refining agent added (actual refining agent addition amount) during the past refining agent addition operation of the smelting furnace, reflecting the situation that the refining agent failed to be put into the smelting furnace as planned due to various factors (such as leakage in the transmission pipeline, volatilization during the addition process, operational errors, etc.). Through the statistical analysis of these differences, we can understand the loss pattern in past operations and provide a reference for the determination of subsequent planned flow rates. The historical refining agent addition amount is the pre-set amount of refining agent to be added when the refining agent addition operation is performed on the current smelting furnace in different time periods in the past. It is usually the planned addition amount determined based on the smelting process requirements, product specifications and other factors at the time. The unit can be kilograms, liters, etc., which is used to measure the scale of refining agent planned to be put in each time.

[0050] Specifically, the historical refining agent addition amount and the corresponding actual refining agent addition amount can be obtained from the database corresponding to the current smelting furnace, and the difference between the historical refining agent addition amount and the corresponding actual refining agent addition amount can be calculated to obtain the historical loss amount.

[0051] Furthermore, the acquired historical loss data can be statistically analyzed to calculate the average value of the historical loss (which can be obtained by adding up all the historical losses and dividing by the number of records), so as to roughly estimate the average loss that may occur in this smelting operation. Assume that the amount of refining agent added determined by the current smelting task is Qtotal (the unit is determined according to the actual situation, such as kilograms), the estimated average historical loss is Qloss (the unit is the same as Qtotal), and the planned duration of the entire smelting process is t (unit such as hours). Then the planned refining agent flow rate Qplan (the unit is converted to the corresponding time, such as kilograms / hour) is calculated as: Qplan = (Qtotal + Qloss / )t. Through such calculations, the losses in historical experience can be comprehensively considered, and the planned refining agent flow rate corresponding to this smelting can be reasonably determined, so that there is a flow reference standard that is more in line with the actual situation in subsequent addition operations.

[0052] A possible implementation manner of the embodiment of the present application, in the above embodiment, determining the first impact value and the second impact value includes: Get the historical data corresponding to the current smelting furnace; Based on the historical data corresponding to the current smelting furnace, a first corresponding relationship between the ambient temperature and the refining agent flow rate is established, and a second corresponding relationship between the ambient humidity and the refining agent flow rate is established; A first influence value is determined based on the first correspondence and the amount of refining agent added, and a second influence value is determined based on the second correspondence and the amount of refining agent added.

[0053] Among them, the historical data includes the target historical addition amount, target historical flow rate and historical blockage data corresponding to different environmental data. The target historical addition amount is the historical addition amount corresponding to the target refining agent, and the target historical flow rate is the historical flow rate corresponding to the target refining agent. The particle size of the target refining agent is the same as that of the current refining agent. The historical blockage data includes the historical duration of the blockage state from unblocked to blocked and the historical pressure value change curve. The historical blockage data includes the duration (historical duration) from the beginning of the pipeline being in an unblocked state to the blocked state, and the curve of the pressure value changing with time in this process (historical pressure value change curve). These data can be used to analyze the characteristics and laws related to blockage. Specifically, in the past production process, the environmental data and the target historical addition amount, target historical flow rate and historical blockage data corresponding to different environmental data were recorded for each operation of the smelting furnace.

[0054] Specifically, the historical data corresponding to the current smelting furnace can be obtained from the database corresponding to the current smelting furnace, and the historical data obtained can be classified and sorted according to the ambient temperature and ambient humidity by using data analysis software or built-in data analysis modules. For example, the target historical flow data corresponding to different temperature ranges (such as 10℃-20℃, 20℃-30℃, etc.) are classified and summarized respectively. Then, a suitable data analysis method is used to establish a relationship. For example, for the relationship between ambient temperature and refining agent flow, linear regression analysis (if the data shows a linear correlation trend) and polynomial regression analysis (if the relationship is more complex) can be used. Through these statistical analysis methods, a mathematical expression (such as a linear function, a quadratic function, etc.) between ambient temperature and refining agent flow is fitted as the first corresponding relationship. The same operation process is applied to the data of ambient humidity and refining agent flow, and the corresponding mathematical expression is fitted to establish the second corresponding relationship. For example, after analysis, the first corresponding relationship is: flow (kg / hour) = 0.5×temperature (℃) + 10 (a simple linear relationship example assumed), and the second corresponding relationship is similarly derived from the humidity data. The corresponding function expression.

[0055] Furthermore, the first impact value can be determined based on the established first correspondence (assuming a function form of Q1(T)=aT+b, where Q1 represents the flow rate, T represents the temperature, and a and b are coefficients obtained by fitting) and the planned refining agent flow rate corresponding to the refining agent addition amount of this smelting plan (assuming Q plan). For example, first select two representative temperature values ​​T1 and T2 (such as T1=20℃, T2=30℃), substitute them into the first correspondence function to calculate the corresponding flow rates Q1(T1) and Q2(T2), and then calculate the change in flow rate when the unit temperature changes, and then make appropriate adjustments in combination with Q plan (such as according to the proportional relationship, etc.), and finally determine the first impact value (such as obtaining specific values ​​such as how many kilograms / hour the planned refining agent flow rate increases or decreases for every 1℃ increase in temperature).

[0056] Similarly, for the determination of the second impact value, the same idea is adopted. According to the second corresponding relationship (assuming the function form Q2(H)=cH+d, where c represents Q2 flow, H represents humidity, and c and d are coefficients obtained by fitting), different humidity values ​​are selected to calculate the flow difference, and then the flow change corresponding to the unit humidity change is obtained. The second impact value is calculated in combination with the Q plan (such as the specific value of the planned refining agent flow change for every 1% increase in humidity), thereby providing a complete parameter basis for the subsequent accurate calculation of the expected refining agent flow.

[0057] A possible implementation of the embodiment of the present application is that in the above step S104, if the expected refining agent flow rate is inconsistent with the actual refining agent flow rate, the pressure data corresponding to the delivery pipeline is obtained, including: Calculate the flow difference between the expected refining agent flow and the actual refining agent flow; Determine whether the flow difference is positive; If the flow difference is a positive value, the pressure data corresponding to the delivery pipeline is obtained; If the flow difference is negative, an alarm message is generated.

[0058] A certain amount of refining agent will be produced during the transportation process of the conveying pipeline. Therefore, the relationship between the expected refining agent flow rate and the actual refining agent flow rate must be that the expected refining agent flow rate is greater than the actual refining agent flow rate. If the expected refining agent flow rate is smaller than the actual refining agent flow rate, it means that there is a sensor error or information error at this time. Specifically, after obtaining the expected refining agent flow rate and the actual refining agent flow rate, the actual refining agent flow rate can be subtracted from the expected refining agent flow rate to obtain the flow difference between the two. For example, the expected refining agent flow rate is 5 kg / hour and the actual refining agent flow rate is 4 kg / hour, then the flow difference = 5 kg / hour - 4 kg / hour = 1 kg / hour.

[0059] Furthermore, after obtaining the flow difference between the expected refining agent flow and the actual refining agent flow, the flow difference can be judged according to the logical rules for judging the positive and negative values ​​in mathematics. Specifically, it is to check whether the flow difference is greater than zero. If it is greater than zero, the flow difference is judged to be a positive value; if it is not greater than zero (i.e., less than or equal to zero), it does not meet the judgment condition of a positive value. For example, if the calculated flow difference is 2 kg / hour, the comparison and judgment module will judge it as a positive value; if the flow difference is -0.5 kg / hour, it is judged to be not a positive value.

[0060] If the flow difference is a positive value, the pressure data acquisition instruction is triggered. The instruction is sent to the pressure sensors pre-installed at various key locations of the delivery pipeline (such as the starting end of the pipeline, the elbow, before and after the valve, etc.) through the communication interface of the electronic device. After receiving the instruction, the pressure sensor will collect the pressure information at the location in real time and convert it into a corresponding electrical signal (different types of pressure sensors have different conversion principles, such as piezoresistive pressure sensors use the change in resistance of semiconductor materials after being pressurized to generate electrical signals), and then transmit the electrical signal back to the electronic device through the communication line. The analog-to-digital conversion module built into the electronic device will convert the received analog electrical signal into pressure data in digital form to obtain the pressure data corresponding to the delivery pipeline.

[0061] If the flow difference is a negative value, a prompt message is generated to remind the operator that the current refining agent delivery does not meet the expected conditions, so as to promptly notify relevant personnel to pay attention to and deal with the abnormal situation. A possible implementation of the embodiment of the present application, in the above step S105, based on the expected refining agent flow, the actual refining agent flow and the pressure data, determines whether the delivery pipeline is blocked, including: Determine whether the flow difference is greater than a flow difference threshold; If the flow difference is greater than the flow difference threshold, it is determined that the delivery pipeline is blocked.

[0062] Among them, the flow difference threshold can be determined based on a large amount of past production practice experience, statistical analysis of flow change data under normal and abnormal conditions of the pipeline, and other factors, and the embodiments of the present application are not limited to this.

[0063] Specifically, the flow difference threshold is obtained from the database corresponding to the current smelting furnace, and the flow difference is compared with the flow difference threshold. For example, if the flow difference is 3 kg / hour and the flow difference threshold is set to 2 kg / hour, it is determined that the flow difference is greater than the flow difference threshold; if the flow difference is 1.5 kg / hour, it is determined that it is not greater than the flow difference threshold.

[0064] Furthermore, if the flow difference is determined to be greater than the flow difference threshold, it is determined that the delivery pipeline is blocked. At this time, the pipeline status can be marked as "blocked" in the internal status recording module, and the relevant data of the blockage judgment (including flow difference, expected refining agent flow, actual refining agent flow, judgment time, etc.) can be recorded to facilitate subsequent query and analysis of the cause of the blockage. In addition, a blockage alarm signal can be sent through the connected alarm device (such as an audible and visual alarm) to remind the on-site operator to check and clean the delivery pipeline in time, or push a pipeline blockage prompt message to the relevant monitoring terminal (such as a computer in the remote control center, the manager's mobile phone, etc.) through the network communication function, so as to solve the blockage problem as soon as possible and ensure the normal delivery of the refining agent and the entire smelting process.

[0065] A possible implementation of the embodiment of the present application, in the above embodiment, the pressure data may include the current pressure value corresponding to each specific position corresponding to the delivery pipeline, and when the flow difference is not greater than the flow difference threshold, determining whether the delivery pipeline is blocked based on the flow difference and the pressure data includes: Obtain the standard pressure value corresponding to each characteristic position, and compare each standard pressure value with the corresponding current pressure value; If there is a current pressure value greater than the corresponding standard pressure value, the current pressure value greater than the corresponding standard pressure value is determined as the target pressure value, and the target thickness corresponding to the target pressure value is determined; Get the pipe width corresponding to the target pressure value; Determine if the delivery line is blocked based on the pipe width and target thickness.

[0066] Among them, the target thickness is the total thickness of the pipeline at the current moment, which is used to characterize the thickness of the pipeline itself and the thickness of the blockage. Specific positions refer to some key parts that have been specially selected in the pipeline system. These parts are of great significance for reflecting the state changes of the entire pipeline. Common ones include the starting end of the pipeline, the connection of each section of the pipeline, the elbow, before and after the valve, and the position where the pipe diameter changes.

[0067] Specifically, the electronic device sends a data acquisition instruction to the pressure sensors installed at each specific location through wired or wireless communication. After receiving the instruction, the pressure sensor immediately collects the pressure conditions at the location, and converts the pressure information into a corresponding electrical signal and sends it back to the electronic device. The analog-to-digital conversion module inside the electronic device converts the received analog electrical signal into a current pressure value in digital form. At the same time, the electronic device extracts the corresponding standard pressure value from the database corresponding to the current smelting furnace based on the identification of each specific location (for example, a unique number set for each location), and then compares the standard pressure value and the current pressure value of each specific location one by one, and records the comparison results. For example, for the specific location of the starting end of the pipeline, the standard pressure value stored in the database is 0.2MPa, and the current pressure value received from the pressure sensor is 0.22MPa. The electronic device will record the situation that the current pressure value at the starting end is greater than the standard pressure value.

[0068] Furthermore, after the comparison between the standard pressure value and the current pressure value is completed, if it is detected that the current pressure value is greater than the corresponding standard pressure value, these current pressure values ​​exceeding the corresponding standard pressure value are screened as target pressure values, and the pre-established pressure-thickness relationship model is called to determine the target thickness corresponding to the target pressure value. Among them, the pressure-thickness relationship model is constructed after a large number of experiments in the early stage or the data collection and analysis of past pipeline abnormalities. More specifically, blockages of different thicknesses are simulated to accumulate in the pipeline, and the corresponding pressure change values ​​under different blockage degrees are recorded at the same time. Through data analysis and fitting methods (such as multivariate linear regression analysis, etc.), a mathematical expression such as "target thickness (mm) = a × (target pressure value-standard pressure value) + b" (where a and b are coefficients obtained by fitting experimental data) is established. When the target pressure value is determined, it is substituted into the expression to calculate the corresponding target thickness. For example, if the target pressure value is 0.3MPa and the corresponding standard pressure value is 0.2MPa, the target thickness is calculated to be 5mm through the model (assuming a=50, b=0, which is only an example value).

[0069] Further, the corresponding relationship between the pressure value and the pipeline width is obtained from the database corresponding to the current smelting furnace, and the target pressure value is brought into the corresponding relationship to obtain the pipeline width corresponding to the target pressure value. Among them, the pipeline width is the actual width of the conveying pipeline at the current moment. Furthermore, by comparing the numerical relationship between the pipeline width and the target thickness, according to the pre-set blockage judgment standard, it can be determined whether the pipeline is blocked due to accumulation and other reasons in the current state, affecting the normal delivery of the refining agent. Among them, the pre-set blockage judgment standard can be the ratio of the target thickness and the pipeline width to the corresponding threshold value as the limit for judging whether it is blocked. If this ratio is exceeded, it is considered that the pipeline is blocked; otherwise, it is considered that the pipeline is currently in a normal or near-normal state. Specifically, when the target thickness exceeds the thickness threshold and / or the pipeline width is less than the width threshold, it is determined that the conveying pipeline is blocked; similarly, when the target thickness exceeds the thickness threshold and the pipeline width is not less than the width threshold, it is determined that the conveying pipeline is not blocked. Furthermore, when the transmission pipeline is blocked, the corresponding alarm device is triggered (such as an audible and visual alarm device emitting an audible and visual alarm signal) to remind the operator to check and handle the pipeline in time, and at the same time send the blockage-related information to the relevant monitoring terminal (such as the computer of the remote control center, the mobile phone of the manager, etc.) to facilitate further solution measures.

[0070] The above embodiment introduces a method for predicting refining agent blockage in a furnace from the perspective of a method flow, and the following embodiment introduces a device for predicting refining agent blockage in a furnace from the perspective of a virtual module or a virtual unit. For details, please refer to the following embodiment.

[0071] See also Figure 2 The device 20 for predicting the blockage of the refining agent in the furnace may specifically include: a receiving module 201, a prediction module 202, a first determination module 203, an acquisition module 204 and a second determination module 205. Specifically: A device 20 for predicting refining agent blockage in a furnace, comprising: A receiving module 201 is used to receive environmental data of the current smelting furnace, where the environmental data includes current ambient temperature and current ambient humidity; The prediction module 202 is used to predict the estimated refining agent flow rate corresponding to the conveying pipeline in the current smelting furnace based on the environmental data, and obtain the actual refining agent flow rate corresponding to the conveying pipeline in real time, wherein the current smelting furnace corresponds to the current refining agent, and the current refining agent is aluminum powder; The first determination module 203 is used to determine whether the expected refining agent flow rate is consistent with the actual refining agent flow rate; An acquisition module 204 is used to acquire pressure data corresponding to the delivery pipeline if the expected refining agent flow rate is inconsistent with the actual refining agent flow rate; The second determination module 205 is used to determine whether the conveying pipeline is blocked based on the estimated refining agent flow rate, the actual refining agent flow rate and the pressure data.

[0072] In a possible implementation of the embodiment of the present application, when the prediction module 202 predicts the estimated refining agent flow rate corresponding to the conveying pipeline in the current smelting furnace based on the environmental data, it can be specifically used to: Obtain the amount of refining agent added corresponding to the current smelting furnace, and determine the planned refining agent flow corresponding to the amount of refining agent added; Determine a first influence value and a second influence value, the first influence value is the influence value of the current ambient temperature on the planned refining agent flow rate, and the second influence value is the influence value of the current ambient humidity on the planned refining agent flow rate; Based on the planned refining agent flow rate, the first impact value and the second impact value, the estimated refining agent flow rate corresponding to the conveying pipeline in the current smelting furnace is calculated.

[0073] In a possible implementation of the embodiment of the present application, when the prediction module 202 determines the planned refining agent flow rate corresponding to the refining agent addition amount, it can be specifically used to: Obtain the historical loss amount corresponding to the current smelting furnace, where the historical loss amount includes the difference between each historical refining agent addition amount and the corresponding actual refining agent addition amount; Based on the historical loss amount and the refining agent addition amount, a planned refining agent flow rate corresponding to the refining agent addition amount is determined.

[0074] In a possible implementation of the embodiment of the present application, when the prediction module 202 determines the first impact value and the second impact value, it can be specifically used to: Obtain the historical data corresponding to the current smelting furnace, the historical data includes the target historical addition amount, target historical flow rate and historical blockage data corresponding to different environmental data, the target historical addition amount is the historical addition amount corresponding to the target refining agent, the target historical flow rate is the historical flow rate corresponding to the target refining agent, and the particle size of the target refining agent is the same as that of the current refining agent, and the historical blockage data includes the historical duration of the blockage state from unblocked to blocked and the historical pressure value change curve; Based on the historical data corresponding to the current smelting furnace, a first corresponding relationship between the ambient temperature and the refining agent flow rate is established, and a second corresponding relationship between the ambient humidity and the refining agent flow rate is established; A first influence value is determined based on the first correspondence and the amount of refining agent added, and a second influence value is determined based on the second correspondence and the amount of refining agent added.

[0075] In a possible implementation of the embodiment of the present application, when the expected refining agent flow rate is inconsistent with the actual refining agent flow rate, the acquisition module 204 acquires the pressure data corresponding to the delivery pipeline, which can be specifically used to: Calculate the flow difference between the expected refining agent flow and the actual refining agent flow; Determine whether the flow difference is positive; If the flow difference is a positive value, the pressure data corresponding to the delivery pipeline is obtained; If the flow difference is negative, an alarm message is generated.

[0076] In a possible implementation of the embodiment of the present application, when the second determination module 205 determines whether the delivery pipeline is blocked based on the estimated refining agent flow rate, the actual refining agent flow rate and the pressure data, it can be specifically used to: Determine whether the flow difference is greater than a flow difference threshold; If the flow difference is greater than the flow difference threshold, it is determined that the delivery pipeline is blocked.

[0077] In a possible implementation of the embodiment of the present application, the pressure data includes current pressure values ​​corresponding to each specific position corresponding to the delivery pipeline. When the flow difference is not greater than the flow difference threshold, the second determination module 205 determines whether the delivery pipeline is blocked based on the flow difference and the pressure data. Specifically, it can be used to: Obtain the standard pressure value corresponding to each characteristic position, and compare each standard pressure value with the corresponding current pressure value; If there is a current pressure value greater than the corresponding standard pressure value, the current pressure value greater than the corresponding standard pressure value is determined as the target pressure value, and the target thickness corresponding to the target pressure value is determined; Get the pipe width corresponding to the target pressure value; Determine if the delivery line is blocked based on the pipe width and target thickness.

[0078] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0079] See also Figure 3 , the embodiment of the present application also introduces an electronic device from the perspective of a physical device, such as Figure 3 As shown, Figure 3 The electronic device 30 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 30 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 30 does not constitute a limitation on the embodiments of the present application.

[0080] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0081] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0082] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0083] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0084] The electronic devices include but are not limited to: mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc., and can also be servers, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0085] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0086] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0087] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for predicting the blockage of a refining agent in a furnace, characterized in that: include: Receiving current environmental data of the smelting furnace, wherein the environmental data includes current environmental temperature and current environmental humidity; Based on the environmental data, predicting an expected refining agent flow rate corresponding to a delivery pipeline in the current smelting furnace, and acquiring an actual refining agent flow rate corresponding to the delivery pipeline in real time, wherein the current smelting furnace corresponds to a current refining agent; Determining whether the estimated refining agent flow rate is consistent with the actual refining agent flow rate; If the estimated refining agent flow rate is inconsistent with the actual refining agent flow rate, obtaining pressure data corresponding to the delivery pipeline; Based on the predicted refining agent flow rate, the actual refining agent flow rate and the pressure data, it is determined whether the transport pipeline is blocked.

2. The method for predicting refining agent blockage in a furnace according to claim 1, characterized in that: The predicting, based on the environmental data, the estimated refining agent flow rate corresponding to the transport pipeline in the current smelting furnace comprises: Obtaining the refining agent addition amount corresponding to the current smelting furnace, and determining the planned refining agent flow rate corresponding to the refining agent addition amount; Determine a first influence value and a second influence value, wherein the first influence value is an influence value of the current ambient temperature on the planned refining agent flow rate, and the second influence value is an influence value of the current ambient humidity on the planned refining agent flow rate; Based on the planned refining agent flow rate, the first impact value, and the second impact value, an estimated refining agent flow rate corresponding to the conveying pipeline in the current smelting furnace is calculated.

3. The method for predicting refining agent blockage in a furnace according to claim 2, characterized in that: The step of determining the planned refining agent flow rate corresponding to the refining agent addition amount includes: Acquire a historical loss amount corresponding to the current smelting furnace, wherein the historical loss amount includes an addition amount difference between each historical refining agent addition amount and a corresponding actual refining agent addition amount; Based on the historical loss amount and the refining agent addition amount, a planned refining agent flow rate corresponding to the refining agent addition amount is determined.

4. The method for predicting refining agent blockage in a furnace according to claim 2, characterized in that: The determining of the first impact value and the second impact value includes: Acquire historical data corresponding to the current smelting furnace, the historical data including target historical addition amount, target historical flow rate and historical blockage data corresponding to different environmental data, the target historical addition amount is the historical addition amount corresponding to the target refining agent, the target historical flow rate is the historical flow rate corresponding to the target refining agent, and the particle size of the target refining agent is the same as that of the current refining agent, and the historical blockage data includes the historical duration of the blockage state from unblocked to blocked and the historical pressure value change curve; Based on the historical data corresponding to the current smelting furnace, a first corresponding relationship between the ambient temperature and the refining agent flow rate is established, and a second corresponding relationship between the ambient humidity and the refining agent flow rate is established; The first influence value is determined based on the first correspondence relationship and the amount of refining agent added, and the second influence value is determined based on the second correspondence relationship and the amount of refining agent added.

5. The method for predicting refining agent blockage in a furnace according to claim 1, characterized in that: If the estimated refining agent flow rate is inconsistent with the actual refining agent flow rate, obtaining pressure data corresponding to the delivery pipeline includes: Calculating a flow difference between the estimated refining agent flow and the actual refining agent flow; Determining whether the flow difference is a positive value; If the flow difference is a positive value, obtaining pressure data corresponding to the delivery pipeline; If the flow difference is a negative value, an alarm message is generated.

6. The method for predicting refining agent blockage in a furnace according to claim 5, characterized in that: The determining whether the transport pipeline is blocked based on the estimated refining agent flow rate, the actual refining agent flow rate and the pressure data comprises: Determining whether the flow difference is greater than a flow difference threshold; If the flow difference is greater than the flow difference threshold, it is determined that the delivery pipeline is blocked.

7. The method for predicting refining agent blockage in a furnace according to claim 6, characterized in that: The pressure data includes current pressure values ​​corresponding to each specific position corresponding to the delivery pipeline. When the flow difference is not greater than the flow difference threshold, determining whether the delivery pipeline is blocked based on the flow difference and the pressure data includes: Obtain the standard pressure value corresponding to each characteristic position, and compare each standard pressure value with the corresponding current pressure value; If there is a current pressure value greater than the corresponding standard pressure value, the current pressure value greater than the corresponding standard pressure value is determined as the target pressure value, and the target thickness corresponding to the target pressure value is determined; Obtaining the pipe width corresponding to the target pressure value; Based on the pipeline width and the target thickness, it is determined whether the transport pipeline is blocked.

8. A device for predicting the blockage of refining agent in a furnace, characterized in that: include: A receiving module, used for receiving the current environmental data of the smelting furnace, wherein the environmental data includes the current environmental temperature and the current environmental humidity; A prediction module, used for predicting the estimated refining agent flow rate corresponding to the conveying pipeline in the current smelting furnace based on the environmental data, and obtaining the actual refining agent flow rate corresponding to the conveying pipeline in real time, wherein the current smelting furnace corresponds to the current refining agent, and the current refining agent is aluminum powder; A first determination module, configured to determine whether the estimated refining agent flow rate is consistent with the actual refining agent flow rate; an acquisition module, configured to acquire pressure data corresponding to the delivery pipeline if the estimated refining agent flow rate is inconsistent with the actual refining agent flow rate; The second determination module is used to determine whether the conveying pipeline is blocked based on the expected refining agent flow rate, the actual refining agent flow rate and the pressure data.

9. An electronic device, characterized in that: The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the method for predicting refining agent blockage in a furnace as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute the method for predicting refining flux blockage in a furnace according to any one of claims 1 to 7.

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