22results about How to "Realize real-time control" patented technology

This invention relates to the field of refractory brick manufacturing technology, solving the problem of poor coordination between various process equipment units in refractory brick production lines. Specifically, it discloses an automated production line and process for refractory brick production, including a crushing unit, a feeding unit, a weighing unit, a mixing unit, a spreading unit, a pressing unit, a detection unit, a stacking unit, and a firing unit connected by control system signals. The discharge end of the crushing unit is connected to the feed end of the feeding unit; the discharge end of the feeding unit is connected to the feed end of the weighing unit; the discharge end of the weighing unit is connected to the feed end of the mixing unit; the discharge end of the mixing unit is connected to the feed end of the spreading unit; the discharge end of the spreading unit is correspondingly arranged with the feed end of the pressing unit; the discharge end of the pressing unit is connected to the feed end of the detection unit; and the discharge end of the detection unit is connected to the feed end of the stacking unit. This invention is used for refractory brick production and features a high degree of automation and strong equipment coordination.

The invention provides a work content and progress plan association method, system and device based on a BIM model. The method comprises the steps that the BIM model of a project is acquired; obtaining a progress plan library of the project; performing dynamic code association based on the component identification code of each component in the BIM model and the progress plan code in the progress plan library to obtain an associated BIM model; acquiring a post work content library; the post work content code is consistent with the progress plan code; and based on the progress node of the associated BIM model, triggering a post work task corresponding to a post work content code which is the same as the progress plan code in the post work content library, and sending the post work task to a corresponding post worker. According to the invention, the post work content and the progress plan can be associated by using the component identification code, the progress plan code and the post work content code based on the BIM model, so that the project construction management efficiency is improved.

The present application belongs to the technical field of biomass pyrolysis product processing, and provides a biomass tar catalytic cracking device and product processing method, wherein the cracking device is heated by Joule heat, and comprises a biomass pyrolysis system, a tar catalytic cracking system, a bio-oil condensation system and a hydrogen-rich combustible gas collection system. The tar catalytic cracking system comprises a Joule heat cracking reactor and a photovoltaic power generation device, and the Joule heat cracking reactor comprises a cylindrical electric heating sheet, a circular aperture plate and a cracking reaction bin. The inner and outer surfaces of the cylindrical electric heating sheet are coated with a catalyst, and the cylindrical electric heating sheet is used as a heat source to directly heat the catalyst and reactants, thereby completing the adsorption and pyrolysis of the tar in one step and achieving high processing efficiency. Meanwhile, the present application collects three products, i.e. biochar, bio-oil and hydrogen-rich combustible gas, through multi-stage processing, which is helpful to realize the high-value utilization of biomass.

The present disclosure provides a piezoelectric driver control method, device, storage medium and electronic equipment, and relates to the technical field of piezoelectric control. The piezoelectric driver control method comprises: acquiring a control coefficient determined by a friction coefficient between a piezoelectric driver and a driven part; and determining a control signal for inputting the piezoelectric driver according to the control coefficient and a sliding mode surface of the piezoelectric driver. The present disclosure can realize accurate control of the piezoelectric driver and improve the precision of piezoelectric driving.

The utility model discloses a full-automatic stainless steel ultrafiltration system which comprises a circulating tank body, a magnetic stirrer is arranged in the center of the bottom surface of the circulating tank body, a weighing module is arranged on one side of the magnetic stirrer, and the other side of the magnetic stirrer is connected with a diaphragm pump through a first hose; the diaphragm pump is connected with a feed port of the ultrafiltration device, and a discharge port of the ultrafiltration device is connected with the top surface of the circulation tank body; the materials in the circulating tank body are pumped into the ultrafiltration device through the diaphragm pump; the circulation tank integrates weighing and magnetic stirring, the structure is compact, the stirring form can be replaced, and use is more convenient.

The invention discloses a multi-role collaborative intelligent whole-process engineering consultation integrated management platform, which belongs to the technical field of engineering management, and specifically comprises a data access module for extracting engineering quantity and material strength grade in a building information model and process time nodes in a construction progress plan; the demand curve generation module generates a material demand curve accordingly. And the storage yard occupancy calculation module compares the real-time material entry record with the demand curve to calculate a storage yard occupancy dynamic value. And the stacking capacity management and control module calculates an effective stacking area according to the construction plane layout diagram, marks a storage yard when the effective stacking area exceeds the capacity, and locks a material entry inspection entrance. The material gap identification module generates a material gap list and pushes the material gap list to a supplier. And the demand curve correction module generates a correction demand curve according to the delivery notice and adjusts the state of the yard mark. According to the invention, the real-time matching of the material demand and the field capacity and the precise cooperation of the purchase and the progress are realized.

The invention relates to the technical field of building curtain wall construction, and discloses a multi-direction adjustable aluminum-based metal curtain wall installation method which comprises the following steps: determining the plate division size and the reinforcing rib layout based on wind pressure load and finite element analysis, designing a multi-dimensional adjustable hanging system, generating design parameter data, and setting the design parameter data as the design parameter data; on the basis of the design parameter data, aluminum-based metal plates and reinforcing ribs are machined through numerical control equipment, and machined curtain wall plate data are generated; design parameter data, processed curtain wall plate data and on-site measurement reference data are systematically integrated, so that a uniform and accurate data reference is provided for keel installation and plate hanging, and the definition and consistency of a whole-process construction basis from surveying and setting-out to final fastening are ensured; the initial in-position accuracy of integral installation of the curtain wall is improved, and accumulative errors caused by data disjunction are reduced.

The invention provides a high-silicon silicon-manganese alloy smelting method which comprises the following steps: smelting uniformly mixed smelting raw materials added into a submerged arc furnace through the submerged arc furnace to obtain first high-silicon silicon-manganese alloy liquid; wherein in the process of smelting the uniformly mixed smelting raw materials added into the submerged arc furnace through the submerged arc furnace, the resistance value of the electrode of the submerged arc furnace is obtained in real time; the voltage of the secondary side of the submerged arc furnace transformer and the current of the submerged arc furnace electrode are adjusted according to the resistance value of the submerged arc furnace electrode so as to ensure that the resistance value of the submerged arc furnace electrode is larger than a first preset threshold value, and in the process, the alkalinity in the submerged arc furnace is a second preset threshold value; transferring the first high-silicon silicon-manganese alloy liquid into a ladle, standing for a first preset time, and slagging off the first high-silicon silicon-manganese alloy liquid to obtain a second high-silicon silicon-manganese alloy liquid; and the second high-silicon silicon-manganese alloy liquid is poured into a mold for ingot casting, and a high-silicon silicon-manganese alloy finished product is obtained. The power consumption cost in the smelting process of the high-silicon silicon-manganese alloy is low, and the purity of the finished product of the high-silicon silicon-manganese alloy is improved.

The application provides a method and device for multi-wavelength excitation micro-nano crystal luminescence regulation, which comprises the following steps: determining the wavelength of continuous laser for capturing a single micro-nano crystal according to the absorption spectrum of a rare earth doped micro-nano crystal; determining the wavelength of each pulse excitation laser corresponding to the absorption spectrum of each type of doped ion; emitting the continuous laser to the micro-nano crystal to capture a single micro-nano crystal; regulating the excitation sequence and time interval of each pulse excitation laser emitted to the micro-nano crystal through timing to obtain the electron population process and fluorescence emission timing of the micro-nano crystal under the excitation of each pulse excitation laser. Different fluorescence appearance sequences reflect different electron population processes and electron accumulation conditions on different energy levels in the micro-nano crystal.

This disclosure provides a simulation testing system, method, train, equipment, and medium for trains, applicable to the field of train simulation technology. The simulation testing system includes: a sensor simulation module for outputting operating status signals through virtual sensors corresponding to the system under test; a data acquisition card simulation module for processing the operating status signals and outputting digital operating status signals; a communication protocol simulation module for enabling the data acquisition card simulation module to transmit the digital operating status signals to a computer simulation module via a predetermined communication protocol; a computer simulation module for collecting its own performance index data using a virtual computer with a predetermined system configuration type; and a server simulation module for generating simulation test results based on the performance index data, and determining a predetermined configuration scheme as the target configuration scheme for the system under test if the simulation test results meet preset conditions.

The application discloses a pig house environment control method and device based on digital twinning and reinforcement learning, and a medium, and relates to the technical field of large-scale breeding. The method comprises the following steps: extracting a plurality of data subsets from a data set; for each data subset, inputting a sample pig house state at the last time in the data subset into a network of a reinforcement learning model, obtaining a virtual environment control instruction, updating a device state, inputting the updated data subset into a digital twinning model, and obtaining an updated pig house internal environment state; updating an experience replay pool based on the updated data subset and the updated pig house internal environment state, training the network until all data subsets are traversed, and determining the trained network as an environment control model; inputting a pig house state at a current time into the environment control model, obtaining an environment control instruction at the current time, and thereby controlling the pig house environment. The application can improve the accuracy and real-time performance of pig house environment regulation and control.

The application provides a self-locking hydraulic jacking device and a use method thereof, and belongs to the technical field of heavy load lifting equipment. The hydraulic jacking unit is used for hydraulic lifting operation on the pressure bearing plate. After the pressure bearing plate is lifted to a preset height, the first lock body unit, the second lock body unit, the third lock body unit and the fourth lock body unit form a multiple interlocking mechanical safety bearing state, so as to provide mechanical locking protection independent of the power source for the hydraulic jacking unit, and the hydraulic system pressure maintaining is not needed. The inherent risk of low safety redundancy and dependence on system pressure maintaining in the prior art is effectively solved, and the safety guarantee is provided for various high-safety construction heavy load lifting operations including hanging basket jacking.

The application relates to the technical field of robots, and provides a multi-degree-of-freedom bionic manipulator control method. The method first establishes a kinematics model and a dynamics relationship of the bionic manipulator, and on this basis, a multi-modal training and real-time control method for a 20-degree-of-freedom bionic manipulator is provided. The method comprehensively utilizes three heterogeneous sensing modalities of inertial measurement, computer vision and surface electromyography to synchronously perceive the hand movement intention of a human operator, and realizes fusion regression of multi-source information based on a deep neural network to output target control instructions of joints of the manipulator. In the training stage, an inertial measurement system is used to provide high-precision joint angle true values; in the deployment stage, vision and surface electromyography are mainly used as network inputs, and real-time closed-loop control is realized in combination with feedback at the manipulator end, so that high-precision control of the multi-degree-of-freedom bionic manipulator is realized.

The application provides a vapor compression refrigeration system electronic expansion valve opening degree adaptive control method, and belongs to the technical field of intelligent control of refrigeration air conditioners. The method pre-establishes a liquid supply dynamic characteristic matching model including double heavy time delay characteristics of an electronic expansion valve offline, completes state space working condition partition with evaporation pressure, condensation pressure, compressor power level and pressure difference before and after the valve as partition dimensions, and pre-optimizes and stores an optimal control rule library as a lookup table. During online operation, multi-cycle liquid supply demand prediction is performed, with the minimum deviation of liquid supply and evaporation as the target, offline pre-optimization and online lookup table interpolation strategy are used to solve the optimal opening degree instruction, and the model parameters are adaptively corrected with physical constraints. The application compresses the time consumption of single cycle calculation to less than 5ms, controls the liquid supply matching deviation to be within plus or minus 2%, reduces the valve action frequency by more than 62%, and can be widely applied to liquid supply optimization control of refrigeration systems of various types of full-liquid or falling film evaporators.

The application discloses a steady flow bin weight fuzzy control method based on fuzzy subtraction clustering, which comprises the following steps: inputting the real-time deviation GE t and the deviation change rate GEC t of the bin weight at time t into a fuzzy controller to obtain a feeding amount action amplitude QE t ; performing inverse normalization on the feeding amount action amplitude QE t , and then adding the feeding amount QE t‑1 at time (t-1) to obtain the feeding amount Q t at time t, so as to control the steady flow bin weight in real time; the steady flow bin weight fuzzy control method can adaptively acquire expert experience and obtain a fuzzy controller, thereby realizing real-time control of the steady flow bin weight.

The invention discloses a green building material product authentication method based on real-time carbon emission data, and the method comprises the following steps: S1, setting an energy consumption collection device at an energy consumption node of a green building material production line, and collecting energy consumption data in real time; s2, performing operation on the original energy consumption data and a regional dynamic emission factor library to obtain a product carbon footprint (CFP); s3, comparing the unit product carbon footprint CFPunit with a dynamic threshold value generated in real time; s4, determining whether to issue, maintain, freeze or cancel a green building material authentication certificate according to a comparison result; s5, the original emission data, the regional dynamic emission factor version number, the accounting script hash and the certificate state are written into a block chain for evidence storage; the technical scheme of the invention has the following advantages: the authentication efficiency is revolutionarily improved, and the period is greatly shortened; the calculation accuracy is remarkably improved, and errors are effectively reduced; certificate validity is dynamically managed and controlled, and standard exceeding after certificate issuing is completely eradicated.

The present application relates to the technical field of atmospheric turbulence, and particularly relates to a turbulence intensity control method in near-ground laser wireless energy transmission based on a KMGA neural network. The method combines a clustering algorithm and a genetic algorithm to generate a KMGA-ANN model to fit the nonlinear relationship between environmental parameters such as temperature, humidity and pressure and atmospheric turbulence intensity, avoids the defect that a traditional neural network model is prone to falling into local optimization, leading to low fitting accuracy of turbulence intensity, and realizes the turbulence generation control function with low repeatability error and low stability error based on a turbulence simulation generator through the nonlinear relationship; solves the problem that a traditional turbulence simulation generation device uses an empirical formula to realize Kolmogorov turbulence but cannot accurately characterize dynamic non-Kolmogorov atmospheric turbulence; and at the same time solves the defects that an indoor turbulence simulation generation device cannot simulate normal low-altitude atmospheric environment with low repeatability error and low stability error and needs to be matched with corresponding turbulence test equipment.

This invention provides a system and method for implementing long-connection pipelines based on the Spring container. The system includes: a process addition or update module, used to save process information when adding or updating a process, and push the process information to a short-connection data receiving module using short connections; a short-connection data receiving module, used to determine the process status and decide whether to drive a node execution module based on the process status; a node execution module, used to push long-connection data; and a long-connection data receiving module, used to receive the pushed data from the node execution module, and select to call the node execution module based on the process information, or decide whether to close long-connection management based on the process status. The beneficial effects of this invention are: using long-connection pipelines to perform data interaction and complete process calculations between multiple service nodes such as the process requester and receiver; and by combining long and short connections, achieving the goal of real-time user control of process progress, and making reasonable use of server resources.

This invention discloses an artificial intelligence-based method and system for warehouse data supervision, relating to the field of warehouse data supervision technology. The method includes acquiring warehouse data, constructing a warehouse data change prediction model, reading warehouse system operation logs, establishing a set of compliant operation sequences, retrieving operation records of personnel logging into the warehouse data platform, recording their continuous operations and structured rest durations, calculating risk coefficients, and determining and classifying risks based on multi-source cross-validation rules, and implementing different early warning measures according to the classification. This invention achieves the fusion and analysis of full-dimensional data, forming a fully integrated AI-based warehouse data supervision system. It establishes a linkage control mechanism between personnel work status, operational behavior, and safety risks. Risk early warning relies on multi-source data, significantly reducing the false alarm rate, achieving pre-event risk prediction and real-time control during events, with strong data traceability, forming a full-process management system of early warning, handling, and optimization.

The utility model relates to a kind of vehicle-mounted air conditioner air port with air adjusting device, shell is equipped with upper layer blade group and lower layer blade group, upper layer blade group is erected on the upper portion of shell by retainer, lower layer blade group is installed in the lower portion of shell by rotating piece, and the retainer of upper layer blade group is connected with upper layer motor by upper knob, and lower layer motor is connected with the lower layer rotating piece of lower layer blade group by lower knob.The utility model can automatically adjust air conditioner air outlet arbitrary direction and independent horizontal sweep air, independent vertical sweep air, and horizontal sweep air and vertical sweep air function simultaneously run with vehicle-mounted main control field, each air outlet assembly can be independently operated, and do not affect each other.Greatly optimize the control automation of air outlet air blowing direction and air blowing mode, meet the changing customer demand, bring the driver and passenger extreme simple operation convenience, reduce the control difficulty of driver, reduce the risk in the process of car running.

The invention discloses a closed cold therapy cabin environment control method. S1; eliminating gross errors of sensors by adopting a Dick's criterion, wherein the sensors comprise an in-cabin oxygen sensor, a CO2 sensor, a pressure sensor, a humidity sensor, a temperature sensor and an illuminance sensor; the sensor acquires data of treatment parameters and survival parameters in the cabin and participates in environment control of the cold therapy cabin; s2; the sensor data is processed through Kalman filtering to improve the measurement precision; according to the control method, firstly, a Dick's criterion is adopted to eliminate gross errors of the sensor, then, sensor data are processed through Kalman filtering to improve the measurement precision, and a PID neural network controller optimized based on an ant lion algorithm is established to achieve real-time control over treatment parameters and survival parameters. Therefore, a patient can receive safe and effective physical treatment in the cold therapy cabin, and the situation that the environment in the cabin is not matched with a treatment mode due to sensor data errors is eliminated.