13results about How to "Guaranteed control quality" patented technology

The invention relates to the technical field of raw material management systems, in particular to a raw material management system for building engineering construction. The management system comprises a raw material information management module, a purchase management module, an inventory management module, a use management module, an optimization allocation module, a raw material quality evaluation module, an environmental impact evaluation and material selection module, a supply chain transparency module, a life cycle management module and a raw material demand prediction and inventory optimization module. An automatic purchase and supplier collaborative optimization module; the system uniformly manages data information of links of raw material purchasing, inventory, use and the like through a centralized data platform, forms a complete material management chain, avoids information dispersion and lag, realizes real-time sharing of data of each link, improves transparency of management and accuracy of decision making, and meanwhile, greatly improves management efficiency. The complexity and error rate of manual operation can be remarkably reduced through automatic purchase order generation, intelligent inventory management and supplier collaboration.

The invention discloses a third-party monitoring intelligent analysis system based on big data, which relates to the field of third-party monitoring intelligent analysis based on big data and comprises a data acquisition module, a construction quality analysis module, a construction cost analysis module, a construction comprehensive analysis and early warning module, a quality rectification analysis module, a cost control rectification analysis module and a database. Parameters such as construction process inspection control parameters of each unit project, operation environment state parameters of each unit project, construction performance detection parameters of each unit project, direct cost composition parameters of each unit project, indirect cost composition parameters of each unit project and the like are received, analyzed and judged; the first-level project management effect set and the first-level construction cost rectification response set are obtained, third-party monitoring intelligent analysis can be provided for project quality and safety of all units of the construction project, early warning and alarming are given out for abnormal construction project conditions, timely adjustment is made for specific abnormal conditions, and guarantee is provided for project construction.

The application discloses a kind of based on data-driven adaptive cycle engine multivariable sliding mode control method, belong to aero-engine control technical field, this method is based on a certain type of adaptive cycle engine, considering the influence of actuator, based on input, output data, the dynamic linearization data model of engine is established online;Three-variable model-free adaptive sliding mode controller based on sliding mode control algorithm is designed;Adaptive weight factor is introduced, the control conservative problem of controller when the controlled object parameter occurs large-scale change is solved, and the control effect is optimized;Finally, the algorithm designed is used to realize the multivariable steady control of adaptive cycle engine under different modes.The application can solve the problem that traditional sliding mode control of aero-engine depends on accurate mathematical model, ensure the control effect while having good real-time performance.

The invention relates to a data driving-based heat flow density adaptive coefficient calculation method, which comprises the following steps of: acquiring cooling process parameters, strip steel information parameters and cooling water temperature as input characteristic parameters, taking a heat flow density adaptive coefficient as an output characteristic parameter, and forming an original data set by the input characteristic parameters and the output characteristic parameter; performing data cleaning on the original data set, and dividing the original data set into a training set, a test set and a verification set; constructing a heat flux density adaptive coefficient stacking model, and obtaining the optimal number and type of base learners by adopting a chaos Harris eagle optimization algorithm; performing optimization on hyper-parameters of the optimal basis learner by adopting a chaos Harris eagle optimization algorithm; inputting the training set into a stacking model for training; the test set is adopted to verify the generalization performance of the stacking model; the information parameters of the current strip steel are collected, and the heat flux density adaptive coefficient of the current strip steel is predicted through the tested stacking model.

The invention discloses a vacuum glass heat transfer coefficient measuring method and device, and the method comprises the steps: placing to-be-detected vacuum glass in a vacuum chamber provided with a vacuumizing system and an air pressure detection device, enabling the air pressure detection device to display the air pressure value of the chamber in real time, and forming a uniform polarized light field perpendicular to the placement direction of the glass in the chamber; and during vacuumizing, the light spot is detected on the side, opposite to the light source, of the glass through a polarization analyzing polaroid, the air pressure value P is recorded when the light spot disappears, and then the heat transfer coefficient is calculated according to the air pressure value P. Based on the photoelastic principle, the air pressure in the vacuum glass is determined by observing stress light spot changes, then the heat transfer coefficient is accurately calculated, the method is not affected by the environment temperature, measurement repeatability is good, measurement can be rapidly completed, the measurement efficiency and accuracy are greatly improved, and the method is suitable for popularization and application. And the urgent requirement of the vacuum glass production detection field on accurate measurement of the heat transfer coefficient is effectively met.

The embodiment of the invention provides an intelligent server assembling method and device, electronic equipment and a storage medium, and is used for the technical field of Internet of Things. The intelligent server assembly method comprises the following steps: updating an offline simulation model and an online simulation model according to a model structure data set and synchronously acquired real-time state data flow, and performing multi-objective optimization on a mixed production task through the offline simulation model according to received service parameters to obtain a candidate resource allocation data set, and evaluating and screening the candidate resource allocation data set through the online simulation model to obtain optimal resource allocation data, and performing conflict detection and routing planning on the optimal resource allocation data according to the space-time resource constraint set to generate a server assembly adjustment instruction sequence. According to the method, through multi-source real-time perception, candidate generation through offline simulation, online proxy rapid screening and space-time resolution and closed-loop execution, optimal resource allocation and high-precision traceability in the mixed line assembly production process are achieved.

The present invention relates to an improved flexible frequency modulation operation system and method for a cylinder cutting heating unit, the system comprising a high-pressure cylinder of a steam turbine, a low-pressure cylinder, a heating network heater, a frequency modulation controller, an isolation valve, a regulating valve, a steam inlet control valve, a heating network water pipeline, a frequency modulation demand instruction and a connection system thereof. When the unit cuts off the low-pressure cylinder by closing the isolation valve to perform high-pressure cylinder back-pressure heating operation, the frequency modulation controller is used to simultaneously control the steam inlet control valve and the regulating valve to achieve synchronous regulation of the unit's steam inlet amount and the heating steam extraction amount, and in normal operation mode, the steam inlet control valve is fully opened and the regulating valve is used for flexible frequency modulation control. When the normal frequency modulation range is exceeded, the steam inlet control valve participates in the regulation as a supplementary frequency modulation mode. In the non-heating season, the regulating valve is closed and the steam inlet control valve is used completely for frequency modulation control, thereby achieving flexible frequency modulation operation of the unit. The present invention can reduce the coal consumption for power supply and improve the average operating efficiency of the high-pressure cylinder.

The present application relates to the field of optimal fault-tolerant control of flexible manipulator system, and particularly relates to a dynamic event-triggered optimal fault-tolerant control of flexible manipulator considering time-varying fault. The steps are as follows: firstly, an adaptive observer is designed to estimate the time-varying fault of actuator; secondly, an evaluation neural network considering unknown terms is constructed by using the approximation ability of neural network to approximate the system cost function; then, a Hamilton-Jacobi-Bellman equation is solved to design an optimal fault-tolerant controller of adaptive dynamic programming method, and an approximate optimal control input for ideal trajectory tracking and vibration suppression is realized; at the same time, a dynamic event-triggered mechanism is adopted to determine the triggering time by real-time monitoring of system state and dynamic threshold when the triggering condition is met, so as to reduce the communication bandwidth occupation and computing resource consumption. The present application can ensure the control effect while having the characteristics of fast response and low resource consumption, thereby ensuring the safe and reliable completion of trajectory tracking and vibration suppression tasks of the flexible manipulator.

The invention provides an ALD thin film deposition method and device and ALD thin film deposition equipment. The ALD thin film deposition method comprises the steps that a substrate is rotated by a preset angle, and the edge of the substrate is provided with a notch; carrying out activation pretreatment on the substrate; and carrying out a deposition process on the substrate. According to the method, before a deposition process is carried out on a substrate, the substrate is rotated by a preset angle, and then activation pretreatment is carried out on the substrate; and then the thin film deposition process is carried out, so that the influence of a notch in the edge of the substrate on the deposition uniformity can be avoided, the thickness uniformity of a film layer deposited on the substrate is improved, the precision and quality control of a subsequent manufacturing process of the substrate are ensured, and the performance stability and reliability of a substrate product are improved.

The present invention discloses a method for suppressing harmonics of permanent magnet synchronous motor current, which comprises: establishing a mathematical model of permanent magnet synchronous motor in synchronous rotating coordinate system d-q; setting a reduced-order vector resonance controller, and connecting the reduced-order vector resonance controller in parallel to a current loop; setting a controller based on reduced-order vector resonance and generalized anti-disturbance control, wherein the reduced-order vector resonance and generalized anti-disturbance control are connected in parallel and serve as a current loop controller. The method for suppressing harmonics of permanent magnet synchronous motor current disclosed by the present invention reduces the harmonic components and can well suppress the harmonics of permanent magnet synchronous motor current.

The invention discloses a detection method of collagenase. According to the detection method, the collagenase is detected through an HPLC (High Performance Liquid Chromatography) method. The collagenase comprises collagenase type I and / or collagenase type II, a stationary phase in the HPLC method is alkylsilane bonded silica gel, a mobile phase A is a 0.05-0.25% trifluoroacetic acid aqueous solution, a mobile phase B is a 0.05-0.25% trifluoroacetic acid acetonitrile solution, and gradient elution is adopted. According to the method, collagenase I, collagenase II and impurities can be effectively separated, the specificity, the detection limit, the repeatability, the durability, the solution stability and other aspects completely meet the acceptance standard, the performance is good, and an effective guarantee is provided for subsequent quality control or quality evaluation of collagenase products.

The utility model discloses a pipe section mouth control device for curve pipe jacking, including pipe section body, the pipe section body is provided with the connecting assembly to the opposite face, the pipe section body inside is provided with the embedded steel sheet, the embedded steel sheet inboard welding has the tensioned steel sheet, the embedded steel sheet inboard welding has the first compression steel sheet, the embedded steel sheet inboard welding has the second compression steel sheet, the second compression steel sheet right side is provided with the hydraulic jack, the hydraulic jack output and the first compression steel sheet on another pipe section body are connected, the embedded steel sheet inboard welding has the fixed pin, the fixed pin surface is provided with the pull rod type jack, adopts pull rod type jack, hydraulic jack cooperation, initiatively regulates and control the mouthful, is not affected by the external soil property and the pipe jacking machine overbreak, and the axis control quality is effectively guaranteed, and the high accuracy control curve pipe jacking pipe section mouthful.

The invention discloses a panoramic scanning laser radar device and a preparation method, the panoramic scanning laser radar device comprises a mirror body and a base, and the mirror body is rotatably arranged on the base; a driver is arranged on the base and comprises arc-shaped electrostatic comb teeth, a spring and a connecting piece, the arc-shaped electrostatic comb teeth comprise first comb teeth and second comb teeth, the spring is connected with the second comb teeth, one end of the connecting piece is connected with the second comb teeth, and the other end of the connecting piece is connected with the mirror body; and the driver is used for driving the mirror body to rotate under the action of a given driving signal. According to the panoramic scanning laser radar device provided by the invention, 360-degree omnibearing scanning is realized through a micro polygon scanning technology, the number of laser radar units is effectively reduced, and simplification of a radar system architecture is facilitated.