775 results about "Plant" patented technology

The invention relates to the technical field of boiler control, and discloses a gas-fired boiler starting control method and system. The method comprises the following steps: acquiring initial operation parameters such as hearth pressure, water inlet temperature, flue gas oxygen content and fuel valve opening of the gas-fired boiler, establishing a thermodynamic state model in a starting stage according to the initial operation parameters, and dividing dynamic response thresholds of different load intervals; and calculating a theoretical fuel supply rate of the combustor based on the model, generating and dynamically updating a fuel supply correction coefficient in combination with a threshold value, synchronously marking key nodes according to abnormal distribution of hearth temperature, and adjusting a spatial air distribution strategy of the combustor. And after the correction coefficient is subjected to multi-stage buffer smoothing, a fuel control instruction is output to an executing mechanism. And switching to steady state control after the boiler reaches the preset load. The method adapts to the characteristics of a power plant unit, so that the starting process is more stable, the damage to a heated surface and pollutant emission are reduced, and rapid grid connection is assisted.

A control device (100) for controlling a number N, with N ≥ 1, of actuators (200) for actuating N optical elements of an optical system, comprising a control node (K2) coupling to the actuator (200) for providing a control voltage (V2) for the actuator (200), an amplifier (110) configured to receive a supply voltage (V1) provided at an input node (K1) and to provide an output voltage (V3) at an output node (K3), wherein the amplifier (110) comprises a plurality M, with M ≥ 2, of current sources (111, 112) comprising at least one charge-controlled current source (112) and a holding capacitor (113) for maintaining the level of the provided output voltage (V3), and a buffer coupled between the output node (K3) and the control node (K2). (120), which is designed to,to decouple the control node (K2) from the output node (K3) and to provide the control voltage (V2) for the actuator (200) based on the level of the output voltage (V3) of the holding capacitor (113).

The invention relates to a multi-modal oscillation suppression method and system for a network construction type power supply grid-connected system, belongs to the technical field of power system control, and solves the problem that multi-modal oscillation of a large-scale inversion type power supply grid-connected system cannot be cooperatively and rapidly suppressed. The method comprises the following steps: when a system generates broadband oscillation, collecting grid-connected point voltage and current signals of each power station to extract a dominant oscillation mode of each power station; constructing a modal coupling matrix based on the dominant oscillation mode to extract modal coupling strength; identifying a key path of oscillation propagation in the dominant oscillation mode, and extracting a path weight and a power station participation degree; calculating the comprehensive power regulation and control weight of each power generation station in multiple modes so as to determine the power regulation quantity; and distributing the power regulation quantity to an energy storage device, a static var generator (SVG) and each power generation station according to oscillation characteristics of different frequency bands so as to cooperatively suppress multi-modal oscillation. The active / reactive oscillation energy is cooperatively adjusted, so that the oscillation energy of each frequency band is effectively suppressed.

The invention discloses a wind power plant inertia damping adaptive regulation and control method and system fused with a deep Q network, and belongs to the technical field of power systems. The method comprises the following steps: establishing a doubly-fed wind turbine generator, a converter mathematical model and an interaction model of a wind power system connected to a power grid, and analyzing the grid-connected stability of the wind power system; the dynamic response characteristic of providing inertia support by the VSG system under different conditions is researched, and the primary frequency modulation capability is improved; a depth Q network is adopted to select rotational inertia and a damping coefficient, a damping inertia adaptive control strategy is improved, cooperation of inertia support and frequency response capability improvement of a wind turbine generator and continuous and smooth adjustment of active power is realized, the stability of a power grid is improved, and the operation performance of a wind power plant is optimized. According to the method, dynamic optimal matching of inertia response, primary frequency modulation and the running state of a unit is achieved, auxiliary services are provided, meanwhile, the running safety and service life of a draught fan are guaranteed, and smooth and impact-free adjustment of active power is achieved.

State of the art systems used for industrial plant monitoring have the disadvantage that they fail to correctly assess reason for dip in performance of the plant and in turn trigger appropriate corrective measures. The disclosure herein generally relates to industrial plant monitoring, and, more particularly, to a system and method for development and deployment of self-organizing cyber-physical systems for manufacturing industries. The system monitors and collects data with respect to various parameters, from the industrial plant. If any performance dip is detected, the system determines corresponding cause, and also triggers one or more corrective actions to improve performance of the plant and different plant components to a desired performance level.

The invention relates to the technical field of space life science, in particular to a multi-axis control and acoustic levitation combined microgravity environment simulation closed cultivation device and a control system.The multi-axis control and acoustic levitation combined microgravity environment simulation closed cultivation device comprises two vertical sliding rail mechanisms, a first rotating servo motor is arranged on each vertical sliding rail mechanism in a sliding mode, and an outer rotating frame is driven to rotate in the first direction; the second rotating servo motor is fixed to the outer rotating frame and drives the cultivation chamber connected with the inner rotating frame to rotate in the second direction, and the acoustic levitation device is installed in the cultivation chamber. According to the invention, random gravity disturbance is introduced through random sliding on the sliding rail, and a microgravity environment with coupled random gravity and rotating speed double factors is constructed in combination with random rotation of double shafts; according to the method, the influence of microgravity on plant leaf respiration under the condition of no heat convection and air shear force can be deeply researched, the influence of air heat convection and shear force can be inhibited, the space microgravity cultivation condition can be truly simulated, and a reliable platform is provided for ground plant space cultivation research.

The invention provides an analysis method and device for flow, efficiency and water consumption rate of a hydraulic power plant generator set. A distributed flow measurement unit based on a domestic PLC controller and a domestic operating system is constructed, and each unit is independently configured with the flow measurement unit to realize decentralization of data acquisition and processing; active power, guide vane opening, water head difference, instantaneous flow and volute inlet pressure data are collected in real time through a distributed flow measurement unit, and a unit efficiency and water consumption rate calculation model is dynamically fitted based on the data; sending an output result of the calculation model to a monitoring system through an anti-interference communication network, wherein the communication network adopts layered wiring and a double-shielded twisted pair to reduce the signal bit error rate; and the IMC integrated management and control platform is used for remote monitoring and diagnosis of the flow measurement unit, and seamless connection with a smart power plant data medium station is realized. The system reliability and the maintenance flexibility are improved, and the autonomous controllable requirements of domestic substitution and intelligent power plants are comprehensively met.

The present application relates to the technical field of thermal power plants, and discloses an intelligent operation method and system for a thermal power plant, a device, and a storage medium. The method comprises: measuring operation parameters of a thermal power plant in real time by means of advanced detection and soft sensing techniques; establishing a fault monitoring model to monitor the operation process of the thermal power plant on the basis of the real-time detected operation parameters, and generating an early warning signal when a fault occurs; performing fault diagnosis, and generating a fault self-healing instruction; and evaluating the operation status of the thermal power plant by means of a performance evaluation model, and then obtaining optimal operation modes and optimal operation parameter setpoints by means of a multi-objective optimization algorithm. The present application achieves high-performance real-time intelligent closed-loop control, improving the adaptability to complex working conditions and the disturbance rejection capability of a thermal power plant production process control system, and the overall performance of a thermal power plant production process; and efficient human-computer interaction is achieved by means of artificial intelligence-based early warning diagnosis and closed-loop self-healing.

The invention belongs to the crossing field of artificial intelligence and industrial automation, particularly relates to an aeration fan frequency conversion group control energy-saving method based on an intelligent optimization algorithm, and aims to solve the problems of high energy consumption, response lag and large equipment loss of a traditional control mode. According to the method, parameters such as dissolved oxygen, flow and pressure are collected in real time, a nonlinear optimization model with minimum energy consumption, accurate oxygen supply and minimum start and stop as multiple targets is constructed, an optimal rotating speed distribution scheme is solved online by adopting an improved particle swarm algorithm, and a smooth slope instruction output and closed-loop feedback correction mechanism is combined, so that the optimal rotating speed distribution scheme is obtained. And dynamic self-adaptive adjustment of fan group control is realized. The energy-saving efficiency is remarkably improved by 18%-25%, the annual electricity is saved by more than 800000 kilowatt-hour, meanwhile, the load unevenness is reduced to below 8%, fan start and stop is reduced by 60%, the service life of equipment is prolonged by 2-3 years, hardware does not need to be newly added, the deployment period is short, investment recovery is fast, and the method is successfully applied to multiple sewage plants.

The invention discloses a thermal power plant limited space operation safety and environment multi-parameter monitoring system, and relates to the technical field of operation safety monitoring. A structure parameter model is constructed based on a space volume structure, a gas exchange path, a risk type and an operation position, and multi-parameter sensing nodes are configured; extracting abnormal fluctuation characteristics of the environmental parameters through edge computing nodes; a gas flow model and a heat distribution model are combined to carry out space-time inversion, a risk source is positioned, a space risk heat map is dynamically generated, the position and action state of an operator can be obtained in real time, the exposure probability is calculated, and automatic identification and graded early warning of a high-risk area are realized; the system has high-precision, low-delay and full-coverage monitoring capability, and the intrinsic safety of limited space operation of the thermal power plant is improved.

The invention discloses a novel quick-change mechanism with a flow control function for a tundish. The novel quick-change mechanism comprises a mounting part, a sliding part, a pressing part, a first driving part and a second driving part. And the functions of the stopper rod opening and closing device are integrated on the tundish quick-change nozzle device, so that the investment, the installation site, the maintenance cost, the spare part site and the cost of a set of equipment are saved. The two sets of equipment are combined into a whole, so that the number of operators in a steel mill is reduced, and meanwhile, preparation is made in advance for the subsequent steel mill if intelligent and automatic control over steel-making continuous casting is adopted, and the positive effect is achieved.

The invention discloses a landscape plant precise maintenance control method based on multi-source perception and a growth model, particularly relates to the technical field of automatic control systems, and is used for solving the problem that a set value in an existing landscape plant maintenance control system is kept constant and cannot adapt to dynamic growth requirements of plants. The optimal environment set value of the current growth stage is calculated by collecting growth environment parameters and plant physiological state parameters, a multivariable time sequence causal network is constructed based on the parameters, the time sequence evolution entropy is calculated, and the change trend of the set value is monitored. Identifying a conflict relationship among different maintenance targets, analyzing a coordination priority through a key causal path to generate a coordinated maintenance strategy, and generating a set value smooth switching track when a time sequence evolution entropy exceeds an adaptive threshold value and a set value change trend is consistent with a phenological period prediction direction; and finally, the controller is adjusted to output an instruction to drive an execution mechanism to carry out maintenance operation according to the updated set value, and optimization of the control system on the whole life cycle of plant growth is achieved.

The invention belongs to the technical field of industrial control, and discloses a thermal power plant coal conveying system intelligent monitoring system based on multi-source perception and edge calculation. Comprising the steps of collecting multi-modal sensing data through a heterogeneous sensor array, performing deep collaborative extraction on cross-modal features such as vision, acoustics, vibration, temperature and current by using a physical constraint correlation model, and dynamically identifying an equipment abnormal mode according to the cross-modal features; and a hierarchical fusion analysis architecture is introduced, so that multi-level confidence guarantee is provided for fault diagnosis. Through a simulation deduction mechanism driven by digital twinning, system response can be pre-evaluated before a control strategy is executed, a scheme with the optimal comprehensive performance is optimized, and the reliability of a control decision is ensured; an increment correction mechanism of state deviation real-time feedback is also realized, and control deviation caused by model mismatch is avoided; and each abnormal symptom of the coal conveying link can be accurately captured and adaptively handled, so that the system safety and the operation and maintenance intelligent level are remarkably improved.

The invention provides a factory equipment control method and device, equipment and a storage medium, and relates to the technical field of industrial manufacturing. In some embodiments of the invention, the method comprises the following steps: obtaining an equipment operation state parameter, a process operation parameter, a global operation parameter and an external environment parameter; inputting the equipment operation state parameters, the process operation parameters, the global operation parameters and the external environment parameters into a scheduling model, and solving through multi-objective optimization by taking the minimum comprehensive cost as an objective function to obtain high-collaboration operation regulation and control parameters; controlling factory equipment to execute regulation and control operation according to the operation regulation and control parameters; according to the invention, cross-level parameter linkage is realized, global optimum is taken as a regulation and control policy, the control efficiency of factory equipment control is improved, and the intelligent degree is improved.

The invention relates to the technical field of offshore wind power grid connection, in particular to a low-frequency oscillation suppression method for an offshore wind power synchronous machine grid connection system, which comprises the following steps: acquiring inherent parameters of the synchronous machine grid connection system and active power reference instructions of each fan of an offshore wind power plant; according to the inherent parameters, control parameters of a preset damping controller are determined, and the damping controller is configured based on the control parameters; acquiring an actual operation frequency signal of the offshore low-frequency power grid in real time, and comparing the actual operation frequency signal with a preset rated frequency of the offshore low-frequency power grid to obtain a frequency deviation signal; inputting the frequency deviation signal into a configured damping controller, and outputting a damping power instruction; and superposing the damping power instruction and the active power reference instruction to generate an active power control instruction. According to the invention, the low-frequency oscillation of the new energy synchronous machine grid-connected system can be effectively suppressed, and meanwhile, the situation that the grid-connected safety is threatened due to the great fluctuation of the terminal voltage of the motor caused by suppression measures is avoided.

A computer-implemented method and system for performing one or more AI techniques on data captured from an Industrial Automation Control Systems (IACS) system, wherein the IACS is associated with at least one industrial plant. Data is captured from the IACS relating to each of a plurality of assets associated with the at least one industrial plant. The captured IACS data is analyzed to determine a plurality of assets associated with the at least one industrial plant contained in the captured IACS data, and metadata respectively associated with each determined asset. An electronic data repository is generated that provides an electronic inventory for each of the plurality of assets and associated metadata. An AI engine coupled to the electronic data repository, performs one or more AI techniques on the plurality of assets and the metadata respectively associated with each determined asset, to perform a certain task.

An anomalous scenario synthesizer apparatus includes a rotatable shaft configured to be rotationally driven about a rotation axis, a data acquisition system operably associated with the rotatable shaft and configured to measure attributes of the rotatable shaft, and a dynamic anomaly generator operably connected to the rotatable shaft. The dynamic anomaly generator is configured to generate at least one anomaly in the rotatable shaft while the rotatable shaft is rotating, and is configured to generate at least one dynamic label for each anomaly while the rotatable shaft is rotating. The dynamic label for each anomaly includes at least one descriptor corresponding to the anomaly that describes the anomaly such that a machine learning method may utilize the descriptor for machine learning.

The invention relates to the technical field of thermal power generation, in particular to a closed circulation cold end optimization method, device and system, and the method comprises the following steps: obtaining the historical operation data of a unit from a power plant monitoring information system, the data comprises circulating water flow, circulating water inlet temperature, circulating water outlet temperature, condenser backpressure water pump motor current, generator power, medium and low pressure heat supply steam flow, condenser steam-water temperature and condenser water inlet and outlet pressure; s2, performing abnormal value processing on the data obtained in the step S1, namely screening out an abnormal value, and repairing and filling the abnormal value by using an interpolation method; based on the actual condition of the power plant, the unit load and the steam admission amount of the condenser are fitted through a large amount of historical data in the step S2; the total power for starting different numbers of circulating water pumps and fans and the water flow corresponding to the circulating water pumps are determined according to the historical data in the step S2; respectively establishing a condenser model and a cooling tower model; constructing a circulating cooling system model, coupling the condenser model and the cooling tower model, carrying out iterative calculation until convergence or reaching the maximum number of iterations, and obtaining the condenser outlet water temperature, the cooling tower outlet water temperature, the condenser back pressure, the vacuum degree and the power generation power; fitting a correction coefficient curve by referring to the technical specification of a power plant and combining the historical data in the step S2 with the condenser backpressure-generated power correction coefficient graph; and calculating the generated power and the net output power according to the unit load and the auxiliary machine consumption, and outputting an auxiliary machine configuration scheme corresponding to the maximum net power.

The invention discloses an intelligent trash-cleaning machine based on AI visual identification, and belongs to the field of visual identification, the intelligent trash-cleaning machine comprises an AI visual identification module, an intelligent control system and a rotary trash-cleaning execution mechanism, the AI visual identification module is in communication connection with the intelligent control system, and the intelligent control system is electrically connected with the rotary trash-cleaning execution mechanism; through cooperative work of the AI visual recognition module and the intelligent control system, precise recognition and efficient cleaning of dirt in water are achieved, and compared with a traditional dirt cleaning mode, the system has remarkable advantages. The method is excellent in recognition capability, sewage disposal efficiency, response speed, adaptability and the like, and can be widely applied to pretreatment scenes of pump station water inlets, urban river channels, reservoir spillways, sewage treatment plants and the like. Popularization and application of the trash remover can bring good economic, social and environmental benefits, powerful technical support is provided for water area treatment, and the trash remover has wide market prospects and development potential.

The invention discloses an intelligent scheduling method, device and system for coal circulation of a power plant. The intelligent scheduling method comprises the following steps: acquiring coal transportation process data, coal yard inventory data, equipment data after coal enters the plant and safety environment data; constructing a multi-objective optimization model of an optimal operation scheme in the whole process of coal entering, stacking, material taking and warehouse loading; based on an improved genetic algorithm, solving the multi-objective optimization model of the whole-process optimal operation scheme to obtain an optimal scheduling scheme of coal entering, stacking, material taking and warehouse loading processes; the optimal scheduling scheme is decomposed into executable control instructions, and automatic operation of coal entering, stacking, taking and warehousing processes is achieved. According to the invention, a comprehensive system integrating multi-source data real-time acquisition, intelligent model dynamic scheduling, equipment automatic control and full-process digital management is constructed, and the system is used for optimizing entry and exit arrangement of coal transport vehicles and ships and improving the efficiency and management level of a coal storage yard of a power plant.

The invention discloses a thermal power plant boiler steam pressure stability control method and system, and relates to the technical field of thermal power plant thermal automation control, and the method comprises the steps: obtaining the real-time data of multiple boilers of a thermal power plant to construct a matrix, building a global optimization model with the pressure fluctuation degree as the target and the unit regulation coupling degree as the constraint, and generating an initial strategy; the deviation degree of the system is evaluated, if the deviation degree exceeds a threshold value, optimization is conducted, an instruction is sent to be executed, and multi-boiler cooperative pressure control stability is achieved. The technical problems that in a traditional control technology, the regulation and control coupling relation among multiple boilers of a thermal power plant is not fully considered, pressure fluctuation, energy consumption efficiency and response time delay are difficult to balance, consequently, steam pressure stability is insufficient, and the precise control requirement under the complex working condition cannot be met are solved, and the purposes that the regulation and control coupling relation among the boilers is fully considered, and the control precision is improved are achieved. Pressure fluctuation, energy consumption efficiency and response time delay are balanced, and the technical effect of stable and accurate control over the steam pressure under the complex working condition is achieved.

The invention discloses a production line arrangement method and device based on the industrial Internet of Things, a terminal and a medium, and the method comprises the steps: building a target function and a constraint condition corresponding to the target function with the balance of workshop energy consumption and workshop production efficiency as a target according to environment data, size data and basic data; generating a plurality of second production line arrangement schemes based on the plurality of first production line arrangement schemes, a production efficiency prediction value, an energy consumption prediction value, the objective function and the constraint condition; and screening out a target production line arrangement scheme from the plurality of second production line arrangement schemes based on the enterprise information and the market energy cost information corresponding to the factory building. The invention aims to comprehensively consider the actual condition of an enterprise and the current energy cost, and accurately generate the arrangement scheme of the production lines in the plant so as to balance the production energy consumption and the production efficiency of the plant.

The embodiment of the invention provides an intelligent operation method and device for a centrifugal dehydrator of a waste water treatment system of a desulfurization device of a thermal power plant, and the method comprises the steps: collecting multi-source data of the centrifugal dehydrator in real time; the method comprises the following steps: based on historical data of desulfurization wastewater treatment of a thermal power plant, establishing an intelligent operation model by applying a machine learning algorithm, and describing a relationship among sludge flow, concentration and equipment operation parameters and water content and energy consumption of dewatered sludge by establishing the intelligent operation model; inputting multi-source data collected in real time into the intelligent operation model, calculating optimal operation parameters of the centrifugal dehydrator through the intelligent operation model by utilizing an optimization algorithm according to a preset target, automatically adjusting the rotating speed, differential speed and flocculant dosage of the centrifugal dehydrator according to real-time working conditions, and intelligently optimizing the optimal operation parameters; and according to the intelligently optimized optimal operation parameters output by the intelligent operation model, a control signal is sent to the centrifugal dehydrator, and the operation parameters of the centrifugal dehydrator are intelligently adjusted.

The invention discloses a gas power plant combined heat and power generation real-time optimization method based on SIS data. The method comprises the steps of obtaining real-time SIS data of a gas power plant; based on the real-time SIS data and the historical SIS data, a dynamic safe operation boundary matched with the current operation condition is dynamically determined through an unsupervised learning algorithm, and the dynamic safe operation boundary is a variable constraint set representing the safe operation limit of gas power plant equipment and changing along with operation condition parameters; and by taking the dynamic safe operation boundary as a constraint condition of optimization solution, generating an operation control instruction for controlling the operation of the cogeneration unit. The safety boundary matched with the operation condition is dynamically identified through an unsupervised learning algorithm, and real-time optimization is performed by taking the safety boundary as a constraint, so that the conservative property of a traditional fixed boundary method is effectively overcome, and the economical efficiency of cogeneration operation is remarkably improved on the premise of ensuring the safety of a unit.

Provided in the present invention are a primary frequency regulation dynamic simulation method and apparatus based on a thermal power condensate water throttling strategy, which are used for analyzing the dynamic characteristics of a unit when a power plant executes a primary frequency regulation instruction by means of a condensate water throttling strategy after a power disturbance occurs in a power grid. The dynamic characteristics mainly comprise the characteristics of a steam turbine speed governor system, the characteristics of a variable-frequency condensate pump system, the dynamic heat exchange characteristics of a low-pressure heater and extraction steam, the flow characteristics of an extraction steam pipeline, and the output characteristics of a steam turbine body. A moving boundary method is mainly applied to a heat exchange process between condensate water (a cold fluid) and shell-side extraction steam (a hot fluid) in a low-pressure heater. The heat exchange process between the cold and hot fluids can be divided into a superheated section, a phase change section and a subcooled section on the basis of the aggregation state of the extraction steam. When the moving boundary method is applied to a steam turbine regenerative system, the dynamic variation laws of extraction steam temperature and pressure can be more accurately obtained, and the extraction steam pressure on a low-pressure heater side is a key factor in determining the extraction steam flow rate on a low-pressure cylinder side, and is also critical in determining the instantaneous power increment of a steam turbine. Moving boundary method-based frequency regulation dynamic simulation for thermal power condensate water throttling takes into account relatively comprehensive actual process factors, and only one-dimensional modeling along an axial main flow direction is taken into account, thus combining the advantages of fast and accurate simulation. A fast and accurate simulation method is a prerequisite for implementing power grid frequency security analysis. By mastering the dynamic process of power plant load response from the moment a frequency deviation exceeds a dead band to the moment same returns to the dead band, a foundation can be provided for the primary frequency regulation control of power plants and the frequency security analysis of power grids.

The invention relates to the technical field of carbon capture and storage, and discloses an ammonia-process carbon capture system and method driven by waste heat of a power plant. Comprising a parameter monitoring module, a basic data acquisition module, a data analysis module, a waste heat matching regulation and control module, an ammonia regeneration optimization module, an ammonia escape control module, an online feedback module, a system energy efficiency evaluation module and a central control visualization module, the basic data acquisition module is responsible for constructing a digital reference of the system, the data analysis module outputs waste heat utilization efficiency, COcapture specific energy consumption and an ammonia escape control rate which are used for decision making, and the waste heat matching regulation and control module, the ammonia regeneration optimization module and the ammonia escape control module regulate system parameters according to calculation results. The on-line feedback module drives an on-site regulating valve, a variable frequency pump and an execution mechanism of a fan to act, the system energy efficiency evaluation module periodically generates a system comprehensive energy efficiency report, and the central control visualization module intensively displays the system state.

The invention discloses a power plant intelligent tool management system based on multi-device interconnection, and relates to the technical field of intelligent device management, and the system realizes digital mirroring of hydraulic tools through a tool digital twin module, and synchronizes a use state and a loss condition in real time. Secondly, the tool state monitoring module accurately monitors the external and internal loss conditions of the hydraulic tool through laser scanning and infrared thermal imaging scanning technologies, meanwhile, dynamic pressure fluctuation is monitored in real time in combination with a water hammer effect coefficient, the influence of the water hammer effect on a hydraulic system is effectively recognized, hydraulic parameters are optimized, and the working efficiency is improved. And the damage of the water hammer effect to the tools is prevented, and the safety and durability of the equipment are improved. The secondary monitoring module continuously monitors vibration and resonance states after the self-healing strategy is executed, and once abnormity is recognized, an early warning instruction is generated in time, and emergency recovery and repair measures are taken, so that equipment damage caused by resonance is effectively avoided.

The invention relates to the technical field of materials and data processing, and discloses a method for constructing a damping layer material loss factor and temperature correlation model, which effectively overcomes the defect of insufficient adaptability of a traditional damping material model in a wide temperature range required by a thermal power plant by fusing a molecular chain segment dynamics mechanism and a macroscopic constitutive behavior. The method has the technical advantages that on the basis of the physical basis of a molecular motion energy barrier theory constraint model and in combination with a corrected temperature-frequency equivalent conversion mechanism, a cross-scale correlation framework with clear physical significance is constructed; through collaborative optimization of microscopic activation energy and macroscopic viscoelastic parameters, the reliability of thermal power plant all-working-condition temperature domain loss factor prediction is remarkably improved; an embedded real-time calculation framework is adopted, dynamic evaluation and compensation control of the material damping performance in an engineering scene are achieved, and more accurate technical support is provided for vibration reduction structure design, vibration fault diagnosis and prevention and service life prolonging of key equipment in the fields of thermal power plants, heavy machinery and the like.

The invention discloses an industrial control system and method for an ultrapure water treatment device, and the method comprises the steps: carrying out the deep excavation and normalization calculation of parameters, such as original pressure, flow, temperature, conductivity and the like, collected in the operation process of an ultrafiltration and reverse osmosis membrane; golden features (such as normalized water yield and desalination rate) reflecting the real performance state of consumables can be effectively extracted, and then the normalized time sequence data without environmental interference are further input into an advanced decline trend prediction model, so that the remaining effective life of the reverse osmosis membrane is assessed and predicted prospectively, and the real performance state of the consumables is predicted. And the control normal form conversion from passive response to active early warning is realized. In this way, the system can get rid of external interference and accurately recognize progressive performance degradation of the ultrafiltration membrane and the RO membrane, and therefore the intelligent operation and maintenance level of the ultrapure water treatment device is remarkably improved.

The invention provides a method and a system for processing blockage of a discharge port of a limestone powder bin of a thermal power plant, which are used for monitoring the running state in real time through a pressure, humidity and flow sensor array arranged at the discharge port and intelligently judging the normal, pre-blockage risk or complete blockage state according to a preset threshold value. Aiming at different states, stage treatment is automatically started: when the risk of pre-blocking exists, a propeller type stirrer in the bin is started, and dry compressed air is introduced, so that the flowability of powder is improved to prevent blocking; and when complete blockage occurs, a composite dredging mechanism is formed by linkage of high-frequency impact of the pulse air hammer, overall vibration of the vibration motor and purging of high-pressure air. The whole process automatic control system performs centralized control, and is provided with a human-computer interaction interface for monitoring and intervention. The system realizes the conversion from passive dredging to active prevention, has the advantages of accurate blockage early warning, efficient and thorough treatment, high automation degree, high reliability and the like, and effectively ensures the continuous and stable operation of the desulfurization system of the thermal power plant.