1042 results about "Distributed control system" patented technology

The invention relates to the technical field of digital twinning, in particular to a multi-machine running-in test distributed control system and method based on digital twinning. The method comprises the steps that a sensing execution unit collects equipment operation state data based on a multi-source sensor module and carries out preliminary data processing and detection; the digital twinning unit receives multi-dimensional sensing data of the sensing execution unit based on a dynamic twinning modeling module, establishes an equipment state model, and performs simulation verification and parameter optimization on a control strategy through a Q-learning strategy to obtain optimized control parameters; the intelligent control unit constructs an optimal decision-making model of multi-machine cooperative control based on a cooperative decision-making module, adjusts parameters of an execution mechanism in real time through a PID control algorithm and feed-forward compensation, and generates a self-adaptive control instruction; and the fusion analysis unit constructs a multi-dimensional equipment operation knowledge base based on the knowledge graph module, and generates global optimization parameters through a multi-target genetic algorithm.

The invention relates to the technical field of data acquisition and processing, and provides a real-time data acquisition and processing method and system for a distributed control system, and the method comprises the steps: collecting a data flow in real time through a terminal sensor, analyzing the probability distribution of a data change rate through a sliding window, and obtaining a data change rate; and a sensitivity threshold is intelligently generated by combining dynamic factors such as equipment electric quantity and network load. When data mutation exceeds a threshold value, the system automatically extracts a key change section and generates time, period and variable quantity three-dimensional features, and meanwhile, the frequency domain analysis result is fused to enhance the anti-interference performance. And the event emergency degree is calculated based on the time-space correlation of the spectrum energy entropy and the characteristic parameters, and finally a processing queue sorted according to priorities is formed and the bandwidth is dynamically allocated. According to the method, through multi-dimensional data fusion and resource adaptive adjustment, the response speed of the system to emergencies, the data discrimination precision and the stability in a complex environment are improved.

The invention provides a data synchronization method and system between trusted DCS terminals, and relates to the technical field of data processing, and the method comprises the steps: a server receives a data synchronization request, comprehensively analyzes historical behavior data and equipment fingerprint features, generates a dual anomaly detection result, judges the rationality of timestamp data, and if the data is reasonable, sends the data synchronization request to a server; if yes, the server obtains a public key from a block chain network for encryption to obtain first verification information and multiple pieces of second verification information; performing sensitivity analysis, generating a sensitive data subset and a non-sensitive data subset, performing disturbance processing on the sensitive data subset, generating a disordered sensitive data subset, performing encryption, generating a data synchronization message, and sending the data synchronization message to a target terminal; performing decryption to obtain the first verification information and the second verification information, performing verification, de-duplication detection and shared decryption to obtain to-be-synchronized data, performing synchronization, generating a synchronization completion voucher, uploading the synchronization completion voucher to the block chain network, analyzing a data synchronization condition, generating a synchronization analysis report and sending the synchronization analysis report to the first terminal.

The invention discloses an industrial firewall isolation method of a DCS (Distributed Control System). The objective of the invention is to solve the problem that existing industrial network security protection has defects for a DCS system. According to the method, firstly, DCS architecture analysis and risk assessment are carried out, and protection key points and data flow directions are accurately determined; then, a firewall strategy fitting the characteristics of each area (such as a core control unit, an operation station and an external network interface) is customized, and mechanisms such as multiple data encryption are covered; and then firewall deployment and configuration optimization are carried out to ensure protection continuity and rule timeliness. And abnormal conditions are timely handled through a real-time monitoring and dynamic adjustment mechanism, and system recovery under a security event is guaranteed through an emergency response and backup recovery mechanism. And a regular safety drill and evaluation mechanism is arranged to continuously strengthen the protection capability. According to the method, the network security level of the DCS is comprehensively improved, stable and safe operation of industrial production is guaranteed, and the method has remarkable practical value.

The invention discloses a dynamic intelligent control method and system for improving the efficiency of a rectifying tower, particularly relates to the technical field of chemical process control, and is used for solving the technical defect that an operation variable is mismatched with a physical state due to the fact that an existing distributed control system cannot recognize a hidden degradation state of equipment. The method comprises the following steps: acquiring temperature gradient distribution of each tower plate of a rectifying tower, thermal load of a reboiler and tower top condensation load parameters in real time, calculating a mass transfer efficiency offset by combining the temperature gradient distribution to generate a scaling trend index, and synchronously calculating a local entropy yield based on the thermal load and the condensation load to generate a thermodynamic irreversibility index. When the double indexes exceed a preset threshold value, it is judged that a recessive degradation state is entered, then a backflow ratio correction coefficient is reversely derived through a dynamic correlation model, and the correction coefficient is input into a distributed control system to dynamically adjust backflow ratio operation parameters; the product purity is maintained, the tower plate scaling process is obviously delayed, and long-term efficient operation of the rectifying tower is guaranteed.

The invention provides a feeding bin intelligent management method and system based on self-adaptive control, and relates to the technical field of feeding bins, and the method comprises the steps: collecting the data of a feeding bin group through multiple sensors, inputting the data into a prediction model to obtain a state prediction result, and correcting the deviation through a Kalman filtering algorithm; a reinforcement learning environment is constructed based on the corrected data, and an optimal control strategy is obtained through deep Q learning network training; the distributed control system generates a control instruction sequence based on a consistency protocol and a model prediction control algorithm to realize cooperative control. According to the invention, intelligent management of the stock bin group is realized, the control precision and the system stability are improved, and the manual intervention cost is reduced.

The invention relates to the technical field of industrial distributed control system architecture, and discloses a dual-redundancy design method for a virtual controller VDPU, which comprises the following steps of: deployment of a four-network-port redundant network architecture: dividing four physical network ports into two groups of independent channels, and simultaneously configuring a network link automatic switching mechanism, the working states of the four network ports are monitored in real time, then double isolation of a physical layer and a protocol layer is achieved, and an independent heartbeat transmission channel is established; main / standby heartbeat monitoring and switching control: the main / standby controller periodically interacts state information packets through a special heartbeat channel, and establishes a three-level fault determination mechanism at the same time to perform seamless main / standby switching; a multi-mode data synchronization mechanism is implemented, namely initialization synchronization, increment synchronization during operation and exception recovery synchronization are started, separation of heartbeat signals and data synchronization can be realized through two groups of independent channels, and the fault-tolerant capability and the switching efficiency of the system are improved, so that the operation stability of the system is guaranteed.

The invention provides a steam extraction energy storage and heat energy storage integrated regulation control method and system, and relates to the technical field, and the method comprises the steps: building a digital twinborn model of a steam extraction energy storage and heat energy storage integrated system, and respectively obtaining corresponding data; establishing a multi-objective optimization model based on the collected data; solving the multi-objective optimization model by using an improved multi-objective differential evolution algorithm in combination with an adaptive variation strategy and a non-dominated sorting mechanism to obtain an optimal adjustment strategy; on the basis of the optimal adjusting strategy, the opening degree of a steam extraction valve of each stage of steam extraction point is adjusted in real time through a distributed control system, and the steam extraction flow is controlled; the inflation power and the deflation power of the compressed air energy storage unit are dynamically adjusted, and meanwhile the charging and discharging power of the flywheel energy storage unit is controlled; the heat charging and discharging rate of the phase change material heat storage unit is adjusted in a self-adaptive mode, and meanwhile the heat charging and discharging flow of the fused salt heat storage unit is controlled.

The invention discloses a communication method for an enterprise network and remote router equipment of a DCS (Distributed Control System). A communication adaptation module is arranged at an enterprise network end and comprises a protocol conversion unit, a data encryption unit, a flow regulation and control unit and a timestamp embedding unit; the far-end router equipment end is provided with a corresponding reverse communication adaptation module. Two-way interaction of data and control instructions is realized through a two-way communication link, and a dynamic link detection and repair sub-module is configured to guarantee stability of the link. According to the method, the problems of protocol compatibility, data security, flow regulation and control, time management, link maintenance and the like are solved, the communication efficiency and quality are improved, efficient, safe and stable operation of remote communication and control functions of the DCS in industrial production is ensured, and the method has a good application prospect.

The invention discloses an electromechanical equipment distributed control system based on the Internet of Things, which belongs to the technical field of distributed control, and specifically comprises the following steps: splitting a control task into task units, registration dependencies, data entries and task levels at an edge gateway, and generating a candidate scheduling range according to registration items; a calibration heartbeat with a reference segment is issued, and a driving node executes and returns a measurement record in an idle window for calibrating hardware fingerprints and link overhead and dynamically updating matching parameters; when computing power saturation is triggered, splitting a low-level task unit into suspensible fragments, setting a de-duplication execution identifier, opening a state interface, and completing migration check; selecting a target control node and a transmission path according to a calibration result, issuing fragment and state interface information, driving a target node to continue fragments according to an execution template, and guiding a source node to release occupied resources in sequence; and checking and comparing the execution result, and when the rule is triggered, recovering to the previous stable state according to the mapping rollback table.

The invention provides an AGC signal intelligent correction and control method, device, equipment and medium, and the method comprises the steps: collecting an AGC instruction signal of a power grid dispatching side, an actual power feedback signal of a power plant side and a unit operation state parameter, and constructing multi-source heterogeneous data; inputting the multi-source heterogeneous data into a pre-trained digital twinborn model to obtain a predicted value of the real power of the unit; calculating a real-time deviation between the predicted value of the real power and the actual power feedback signal, and dynamically compensating the AGC instruction signal based on the real-time deviation to generate a corrected AGC instruction signal; and on the basis of the corrected AGC instruction signal, a feedforward control signal is generated, and is superposed to a basic control instruction of a unit distributed control system (DCS) in an increment form, so that full-load section accurate control is realized, and the problems of accurate correction of the AGC signal, accurate prediction of real power and dynamic compensation are solved.

The invention discloses a data interaction method between industrial control systems of a DCS (Distributed Control System). The method comprises the following steps of 1, data acquisition and preprocessing, 2, data identification and classification, 3, data encryption and compression, 4, data transmission scheduling, and 5, data decryption and restoration. A self-adaptive data interaction frequency adjusting module arranged in each industrial control subsystem can automatically adjust the data interaction frequency according to the actual operation state of each control link in the subsystem, so that the data interaction frequency is tightly matched with the production requirement, the conditions of data congestion or incapability of meeting the real-time requirement and the like are avoided, and the production efficiency is improved. Compared with a traditional mode of fixed data interaction frequency, the method can better adapt to complex and changeable industrial production working conditions, and the flexibility and robustness of the whole industrial control system are improved.

The invention discloses a fresh commodity after-ripening regulation and control planning method oriented to maturity grading, and relates to the technical field of food science and biologication.The method comprises the steps that physiological parameters of fresh commodities are collected in real time based on a multi-modal sensor, and the physiological parameters comprise the epidermis pigment content, the ethylene release rate, the fruit hardness and the respiration intensity; the collected physiological parameters are input into a multi-objective optimization model based on deep learning, the model fuses a metabolic kinetic equation and an LSTM time sequence prediction algorithm, and a regulation and control parameter combination adaptive to the current mature stage is output; according to the regulation and control parameter combination, the temperature, the relative humidity and the O2 / CO2 concentration gradient of the controlled atmosphere storage equipment are synchronously regulated through a distributed control system, and a plant hormone antagonist is injected through an ultrasonic atomization device; and constructing a supply chain collaborative network based on a block chain technology, binding a grading result with logistics path planning, and adjusting a temperature control strategy and a shelf life countdown parameter of the cold chain transport vehicle in real time through an edge computing node.

A power door actuation system for a door of a vehicle is provided. The system includes a housing mounted to the door and an actuator mounted within the housing that includes an electric motor configured to output a motor force. The actuator also includes a geartrain with a geartrain input coupled to an output of the electric motor for receiving the motor force and a geartrain output for applying an output force to the door. An extendible member is configured for extension and retraction in response to actuation by the geartrain output for moving the door. The system determines the output force to compensate for external forces affecting the motion of the door, adjusts the output force determined to an adjusted output force to compensate for internal forces affecting the operation of the actuator, and controls the electric motor to move the door at the adjusted output force.

The invention provides an equipment running state optimization control method and device, electronic equipment and a storage medium. The method comprises the steps that historical data and real-time data of equipment operation are acquired, and key features related to the equipment operation state are screened out; preprocessing the historical data, dividing the preprocessed historical data into a plurality of categories, and generating a reference sample set of each category; performing weight calculation on the key features by using an analytic hierarchy process, and constructing a feature weight matrix; performing state estimation by using an improved multivariate state estimation algorithm; predicting the running state of the equipment according to the state estimation result, and judging whether the running state of the equipment is normal or not; and if the operation state of the equipment is normal, writing back an optimal control parameter generated based on the predicted operation state to the distributed control system. The parameter adjustment precision can be improved, the prediction precision can be improved, and the equipment operation efficiency can be improved.

An actuator assembly of an actuation system for a closure member of a vehicle is provided. The actuator assembly includes an actuator housing including a sensor housing. The actuator assembly also includes an electric motor disposed in the actuator housing and configured to rotate a driven shaft operably coupled to an extensible member that is coupled to one of a body or the closure member for opening or closing the closure member. The actuator assembly also includes an actuator controller disposed in the sensor housing of the actuator housing and coupled to electric motor and an accelerometer configured to sense movement of the closure member. The actuator controller is configured to detect the movement of the closure member using the accelerometer. The actuator controller then controls the opening or closing of the closure member based on the movement of the closure member using the electric motor.

The invention discloses a power plant thermotechnical DCS comprehensive training system, and relates to the technical field of thermotechnical training, and the system comprises the steps: carrying out the technical analysis of a power plant thermotechnical process based on a DCS comprehensive training system, and determining the training demand information; determining a plurality of learning paths, and constructing DCS training environment parameters; obtaining user test data, making a plurality of training plans for training based on the user test data, and determining a plurality of training results; screening the plurality of training plans to generate a recommended review list; and obtaining a thermotechnical training information set, and performing operation optimization verification on the power plant. The technical problems that in the prior art, a complex operation scene of a thermal DCS (Distributed Control System) of a power plant is difficult to truly simulate, and personalized training paths for different user requirements and skill levels are lacked, so that training pertinence is insufficient, learning evaluation is incomplete, and skill improvement efficiency is poor are solved. The technical effects of enhancing the training effect and improving the skill improvement efficiency are achieved.

The invention belongs to a startup method, and provides a DCS (Distributed Control System) upper computer startup credibility guarantee method and a related device aiming at the technical problems that security threats exist and the system credibility is influenced in the startup process of a traditional DCS upper computer, a credible computing chip is arranged in the DCS upper computer, and information security associated contents are loaded; and then carrying out integrity verification on the code and the configuration file, and monitoring system behaviors in the whole startup process. The trusted computing technology is introduced in the startup process, and it is ensured that the system has high safety in the startup stage. The trusted computing chip is arranged in the upper computer of the DCS, so that key information can be prevented from being tampered or leaked in the startup process. In addition, integrity verification is carried out on codes and configuration files, and it is ensured that each step in the system startup process conforms to a preset security strategy. Moreover, system behaviors are continuously monitored, related faults can be found in time, and hidden dangers can be eliminated as soon as possible.

The invention relates to the technical field of flow chart automatic testing, and provides a flow chart automatic testing method, system and device of a control system and a storage medium so as to solve the problems of low testing efficiency and poor accuracy. The method comprises the following steps: acquiring a film thickness and transverse tension fluctuation curve by using an intelligent textile sensor array, generating a tension compensation factor based on a phase difference to correct the film thickness, and establishing a thickness distribution topology model; performing non-contact scanning by using a terahertz wave emission array, and activating a defect mark cluster when Doppler frequency shift is detected; transmitting the thickness distribution model and the defect characteristics to a test platform, reconstructing a control logic and generating a test script, and realizing a virtual-real synchronous test through a communication protocol; and generating a process parameter correction factor according to a test result, and feeding back the process parameter correction factor to the distributed control system to optimize the tension closed-loop control module, and generating a matched terahertz verification map. According to the technical scheme provided by the invention, the efficiency and accuracy of automatic testing of the flow chart can be improved.

The invention discloses a DCS operation and maintenance method based on fusion dynamic weight distribution and fault chain deduction, and relates to the technical field of operation and maintenance of a distributed control system, and the method comprises the steps: obtaining a plurality of groups of source data of a monitoring region; corresponding monitoring periods are determined according to the multiple groups of source data, and differential monitoring period information is obtained after combination; according to the technical key points, a multi-source data fusion module is utilized to associate data of a DCS system, an associated production system and a cross-plant cooperative system, and fragmented data such as equipment operation data, production load fluctuation and cross-plant interaction information are woven into a complete data network through adjustment of space-time alignment and multi-dimensional verification; the global sensing capability not only solves the one-sidedness of traditional single data judgment, for example, environmental interference is easily misjudged by only depending on equipment temperature data, but also can capture cross-system implicit associated faults; and secondly, when the multi-source data are mutually verified, an evidence chain is formed through logic consistency verification, so that the misjudgment rate of suspected faults is greatly reduced.

The invention relates to a control rod drop function availability automatic test method and a DCS system, and the method comprises the steps: receiving a test start instruction, entering a test mode, and in the test mode, obtaining the test sequence of each test rod group, and the measurement rod position and the counting rod position of a control rod; sending a bar moving instruction to the current test bar group; after the control rod action of the current test rod group is completed, the counting rod position is consistent with the target rod position, and the change of the measuring rod position of the control rod is detected; judging whether the change of the measurement rod position of the control rod accords with a preset threshold value; and if yes, judging that the control rod drop function availability test of the current test rod group is qualified. According to the invention, the availability test of the rod falling function of the control rod is changed from the traditional manual operation to the automatic test, so that the loss caused by human errors is effectively avoided; time consumed by the whole test is shortened, manpower is saved, and test execution efficiency is improved; and automatic checking is carried out, and a test result is given, so that human errors caused by long manual checking time are avoided.

Systems and methods for industrial robotic platforms. Squads of industrial robots autonomously communicate and work together. A control center may monitor the autonomous operations. Software at the control center, squad, and robot levels forms a distributed control system that analyzes various data related to the platform for monitoring of the various systems. Artificial intelligence, such as machine learning, is implemented at the control center, squad, and / or robot levels for swarm behavior driven by intelligent decision making. Each robot may include a universal platform attached to a task-specific tooling system. A robot may be elected as a squad leader, cartographer leader, or task planning leader. A squad leader, cartographer leader, or task planning leader may perform specialized planning functions for a squad of robots. Information generated by robots performing a task may be transmitted to the control center for further development of machine learning models.

The invention relates to the technical field of distributed control systems, and discloses a distributed valve body remote control system which comprises a valve body state acquisition module, a remote communication analysis module and the like. The valve body state acquisition module acquires parameters such as opening, fluid pressure and surface temperature of a multi-area valve body according to a monitoring period, and a high-frequency monitoring mode can be started; the remote communication analysis module evaluates communication delay; the distributed coordination module synchronizes parameters when communication is normal, and calculates a dynamic regulation factor through a formula to generate a regulation instruction; the instruction distribution module determines an instruction distribution sequence according to a priority weight formula, and is provided with delay and forced distribution strategies; and the abnormal response module gives an alarm and marks the position code of the valve body when the communication delay exceeds the limit or the weight is continuously too low. And the system also checks and complements the acquired data. The system improves the monitoring control precision and reliability, and is suitable for remote monitoring of multi-area valve bodies.

The invention discloses a DCS (Distributed Control System)-based ignition and temperature rise mode of a copper anode slime roasting rotary kiln, which specifically comprises the following steps of: setting initial control conditions, drawing a temperature rise curve according to a target temperature, a temperature rise period and a temperature rise gradient, and then starting ignition preparation. Before natural gas is introduced into the combustion chamber for combustion, rotary kiln operation and combustion-supporting air purging are carried out, after purging is carried out for a period of time, combustion-supporting air and natural gas are introduced for ignition at the same time, and meanwhile the ignition condition is judged through a monitor. And if ignition fails, under the condition of no abnormity, purging can be repeated, and natural gas is introduced for re-ignition. According to the method, the natural gas flow and the combustion-supporting air volume are automatically controlled by the DCS according to the drawn temperature rise curve. The system has the beneficial effects that multiple ignition conditions can be controlled at the same time, remote automatic ignition is achieved, the ignition condition is fed back in time, the natural gas flow is flexibly controlled, the combustion temperature is controlled, the ignition effect of the rotary kiln is guaranteed, and meanwhile production operation safety of the rotary kiln is guaranteed.

The invention belongs to the technical field of distributed control, and discloses an AI intelligent control cabinet distributed control system and method. Comprising the steps of obtaining running state data and control task data; constructing a task priority vector of each intelligent control cabinet in each control period; generating a global task conflict graph based on the task priority vectors of all the intelligent control cabinets in the same control period; obtaining a task conflict probability and a task execution sequence of each intelligent control cabinet in the same control period according to the global task conflict graph; based on the task conflict probability and the task execution sequence, a control task execution strategy of each intelligent control cabinet is adjusted, and an optimized control task sequence of each intelligent control cabinet is obtained; and according to the optimization control task sequence, distributed cooperative operation of each intelligent control cabinet in the next control period is controlled, and the overall operation efficiency and the conflict occurrence rate of the distributed system can be effectively balanced.

The invention belongs to the technical field of function testing, and discloses a dynamic credibility verification function testing method and related device for a credible DCS controller, and the method comprises the steps: carrying out the dynamic credibility verification periodical measurement strategy marking of a predetermined process file; tampering the execution process, and querying the trusted state of the execution process; performing dynamic credibility verification periodical measurement strategy marking on a pre-determined process in the execution process; tampering the process marked with the verification strategy, and querying the credible state of the process marked with the verification strategy; performing dynamic credible verification subject-object strategy marking on the predetermined application program and object file; tampering the preset strategy point execution process, and querying a credible state of the preset strategy point execution process; outputting a credible state query result to obtain a dynamic credible verification function test result of the to-be-tested controller; according to the method, the problem of the dynamic credible verification function can be found earlier, and the test speed and test quality are effectively improved.

The invention discloses a trusted function installation method of a trusted DCS system and a related device, and belongs to the technical field of DCS systems. According to the method, firstly, a client and an upper computer are connected through ssh, then the client sends an automatic installation instruction to the upper computer, and the upper computer carries out automatic installation of the trusted function component and feeds back an execution result of the installation instruction to the client; and the client generates a trusted function installation deployment report according to an installation instruction execution result, and installation is completed. According to the method, the installation and deployment speed and the installation and deployment quality can be effectively improved, if installation and configuration files have problems, the problems can be found earlier, meanwhile, credible functions can be checked, and the installation and deployment cost can be remarkably reduced.

The invention provides a grid-connected and off-grid seamless switching method and device, equipment and a storage medium. The method comprises the following steps: acquiring power grid state data and load prediction data of a photovoltaic power grid; generating a grid-connected control instruction according to the power grid state data and the load prediction data; dividing the photovoltaic power grid into a plurality of micro-grids according to the grid-connected control instruction, and generating a pre-switching instruction corresponding to the micro-grids through distributed model prediction control; controlling a photovoltaic inverter to switch a photovoltaic power grid into a grid-connected mode according to the pre-switching instruction; and if a power grid abnormal risk is detected through the power grid abnormal prediction model in the grid-connected mode, switching the photovoltaic power grid to an island mode. Through implementation of the scheme of the invention, the photovoltaic power grid is divided into a plurality of micro-grids, and the state of each micro-grid is independently managed through the distributed control system, so that system instability and power grid impact which are possibly caused in a switching process in a traditional method can be effectively avoided.

The invention provides a visualization method and device for the combustion process of a circulating fluidized bed boiler, and the method comprises the steps: collecting the operation data of the circulating fluidized bed boiler in real time through a distributed control system at an upper computer, and storing the collected data in a CSV format; in the lower computer, a three-dimensional modeling tool is used for establishing a three-dimensional model of the solid boiler, and grid division is carried out; controlling the upper computer to generate boundary condition data of numerical simulation according to the acquired CSV data, transmitting the boundary condition data to the lower computer, and reading the latest boundary condition data by using the lower computer to perform real-time simulation calculation; performing post-processing on a simulation calculation result by utilizing the lower computer to obtain a picture and curve data, and transmitting the picture and curve data to the upper computer through a network; and the upper computer is controlled to display the visual results of the temperature field, the velocity field, the pressure field, the gas component concentration field and the ash combustible content in real time through a platform interface in the forms of static diagrams, dynamic diagrams and trend curves. According to the method, the combustion process of the circulating fluidized bed boiler can be rapidly visualized, the operation state of the boiler can be predicted, and guidance is provided for operation optimization and parameter adjustment.

According to the efficient smelting method and device for the silicon-manganese alloy, the manganese ore and the silica are crushed into proper particle sizes, the contact area between the raw materials is increased, the reaction speed is increased, the raw materials are fully reacted in the furnace, the proportion of the raw materials is adjusted, the reaction is more sufficient, and the qualified rate of products is increased; during smelting, a high-precision sensor is used for monitoring parameters such as temperature, pressure, current and voltage in the furnace in real time, a distributed control system is used for automatically adjusting smelting process variables such as electrode lifting, power supply power and raw material feeding speed according to the parameters monitored in real time, and it is ensured that reaction in the furnace is conducted in the optimal state; smelting hot air is filtered through the filter box and then discharged into the mixing box through the centrifugal suction pump, raw materials are scooped up and fall down while mechanical mixing is conducted, the sufficient mixing and preheating effect is guaranteed in cooperation with hot air introduction, and finally the effects of improving the heat source utilization rate, sufficiently mixing and preheating and efficiently smelting are achieved.