169results about How to "Improve system stability" patented technology

The invention provides a resource adjustment method and device for edge computing nodes, equipment and a medium, and belongs to the technical field of computers.The method comprises the steps that the use condition and service scene data of target resources associated with all the edge computing nodes are monitored, the target resource comprises at least one of a central processing unit (CPU), a memory and a network bandwidth; according to the monitored data, a target scheduling strategy is selected from a pre-established scheduling strategy library, and the scheduling strategy library comprises resource scheduling strategies for different service scenes and resource use conditions; and according to the target scheduling strategy and the current use condition of the target resource by each edge computing node, adjusting the resource currently allocated to each edge computing node.

The invention discloses a high-flexibility structure nonlinear aerodynamic damping estimation method based on a Sage-Husa algorithm and square root cubature Kalman filtering. According to the method, aerodynamic damping with nonlinear characteristics can be effectively identified from free vibration data, forced vibration data, steady-state vibration data and random vibration data of high-flexibility structures such as high-rise buildings and fan towers under crosswind excitation, and process noise can be automatically adjusted according to the current state; the interested parameters of the high-dimensional system are accurately predicted, the noise level does not need to be known sufficiently, and a theoretical basis can be provided for evaluating the structural response by calculating the aerodynamic damping of the high-flexibility structure more conveniently and accurately in actual engineering. The invention further discloses a high-flexibility structure nonlinear aerodynamic damping estimation system based on the Sage-Husa algorithm and the square root cubature Kalman filter and a storage medium.

The invention discloses a distributed energy dynamic load adjusting method and system based on a virtual power plant, and relates to the technical field, and the method comprises the following steps: obtaining first data of the virtual power plant, and building a topological structure of the virtual power plant; constructing a distributed energy output prediction model based on an LSTM deep learning algorithm; combining the output of the distributed energy output prediction model and the topological structure to generate an energy scheduling scheme in real time; monitoring real-time data of the distributed energy, comparing the real-time data with the energy scheduling scheme, and performing feedback updating; according to the invention, a virtual power plant topological structure is constructed, a prediction model is constructed based on an LSTM algorithm, an energy scheduling scheme is generated in combination with model output and the topological structure, and a feedback updating technology is carried out. The problems that existing regulation and control based on a static model cannot adapt to dynamic changes of energy production and load requirements in real time, and due to the fact that an effective cooperation mechanism is lacked between distributed energy sources, energy waste is caused, and the regulation efficiency is low are solved.

The invention relates to the technical field of photovoltaic energy storage methods, and discloses a method for optimizing hybrid photovoltaic energy storage based on a Perturbobserve algorithm, which comprises a load, a photovoltaic power generation subsystem, an energy storage subsystem, a control and management system and a grid-connected system. The specific control method comprises the following steps: S1, obtaining an illumination intensity value within one day through a meteorological station, and obtaining a power grid net load value within one day through a voltage sensor and a current sensor; s2, taking economy optimization as a target, considering photovoltaic energy storage capacity constraints, and establishing an energy storage SOC control strategy target function; and S3, solving is carried out by using a PerturBobserve algorithm, and an optimal control pulse sequence is obtained. By optimizing the charging and discharging time and intensity of the energy storage battery, the consumption rate of photovoltaic power generation is maximized, the light abandoning phenomenon is reduced, and the energy loss in the charging and discharging process is reduced. Meanwhile, the PertuBobserve algorithm can avoid the excessive charging and discharging of the energy storage battery while considering the system load, prolongs the service life of the battery, and solves the problem of insufficient management of the service life of the battery in a traditional method.

The invention relates to the technical field of bioinformatics, in particular to a mining method and system for synthetic biology functional elements and a storage medium. The method comprises the following steps: acquiring functional demand data of a target metabolic pathway; performing evolutionary distance analysis and function prediction on homologous genes of a plurality of species according to the function demand data, and performing protein structural domain conservative classification on preset genome sequence data to obtain candidate element cluster data with function relevance; obtaining expression system data of the host cells; and according to the candidate element cluster data and the expression system data, scoring each functional element based on codon optimization degree, protein folding stability and metabolic load prediction to obtain hierarchical element suitability data. According to the method, factors such as sequence characteristics, expression efficiency and regulation and control network interaction are considered at the same time, multi-level accurate screening is achieved, and therefore the low efficiency and limitation of a traditional screening mode are overcome.

The invention relates to a linear actuator with power-off self-locking and constant supporting force. The linear actuator comprises a driving assembly, a gas spring unit, a braking assembly and a planetary roller lead screw pair. The driving assembly converts electric energy into rotating kinetic energy to drive the actuator to operate. The air spring unit provides constant supporting force through a built-in high-pressure air cavity, and the pressure is adjusted through an inflation valve so as to dynamically adjust the supporting force. The braking assembly realizes power-off self-locking through a movable permanent magnet and a liquid sealing structure; the planetary roller lead screw pair converts rotation kinetic energy of the driving assembly into linear motion. The technical problems that an existing linear actuator is high in energy consumption, unstable in supporting force and lack of a self-locking function are solved.

The invention discloses a dynamic adaptation and multi-level feedback control solid heat storage system and method.The system comprises a heat storage unit, a feedback control system, a self-adaptation control module and a dynamic flow adjusting device, the heat storage unit is connected with the feedback control system and the self-adaptation control module, the self-adaptation control module is connected with the feedback control system, and the dynamic flow adjusting device is connected with the feedback control system. The dynamic flow adjusting device is arranged on the heat storage unit and connected with the feedback control system and the self-adaptive control module. The heat storage unit comprises a plurality of subareas, and a plurality of heat storage modules which are connected in series and in parallel are arranged in each subarea; the feedback control system comprises a multi-point sensor and is used for monitoring temperature and flow data of each subarea; the self-adaptive control module is used for dynamically adjusting the flow and the temperature of each partition in the heat storage unit by utilizing a multi-level feedback algorithm based on real-time data of the feedback control system; the dynamic flow adjusting device is used for adjusting flow distribution of all the subareas in the heat storage unit according to the load requirement.

The invention relates to the technical field of information communication, and discloses a 5G network slice resource scheduling method for a power distribution network, and the method comprises the steps: firstly collecting the geographic coordinates and priority labels of a service request, carrying out the regional division of a service based on the coordinates, and determining the cluster center of each region; then combining the priorities and the areas to which the requests belong, carrying out hierarchical sorting on all the requests to generate a global scheduling sequence; for each request in the sequence, calculating a path distance to each network resource node according to the coordinate of the request and the cluster center, and selecting a shortest path node as a target resource node; and finally, allocating resource quotas from the resource pool of the target node in sequence. According to the 5G network slice resource scheduling method provided by the invention, the resource matching accuracy and locality are effectively improved, the service transmission delay is reduced, the network flow space distribution is optimized, and the more efficient and reliable bearing of the power distribution network service is realized.

The present invention discloses a redundant control system for charging guns of a charging pile, which belongs to the technical field of charging piles. The technical problem to be solved is that the control board fails in the case of a single gun and a single control, resulting in failure to charge. It includes a dual-channel control board, which is a state acquisition board and a charging control board; the state acquisition board is configured with a gun line state acquisition interface, a CAN interface and a processor MCU, wherein the processor MCU serves as a state acquisition MCU; the charging control board is configured with a processor MCU, a BMS communication interface, an inter-board communication interface, a charging module communication interface and a charging module control line interface; the charging control MCU is used to control the charging process based on the gun line state and the vehicle BMS state stored in its onboard FLASH.

The invention discloses an automatic water-cooled power supply host system with independent partitions, and belongs to the technical field of power electronics, and the system is characterized in that the system comprises a host body, the host body is internally provided with a partition shelf, and the partition shelf is internally provided with a cavity. Each cavity is provided with an independent cooling coil, when a heating element corresponding to a certain cavity works to generate heat, a liquid pump sucks cooling liquid from an inlet pipe, the cooling liquid is accurately distributed through a flow dividing pipe and a flow control structure and then enters the cooling coil of the cavity, and by means of the independent cooling mode, when one cavity breaks down, the cooling liquid can be cooled by the liquid pump. The cooling liquid circulation is only influenced in the loop of the cavity, other cavities can still work normally, the reliability of the system is greatly improved, the overall downtime caused by local faults is shortened, and meanwhile, due to the design of the independent cavities, workers can quickly position fault points conveniently, and only the fault cavity is maintained and repaired.

The embodiment of the invention provides a database monitoring method and device, equipment and a storage medium. The method comprises the steps that a system table of a target database is obtained, and the system table comprises the running state of a query statement; based on the system table, determining the query statement of which the operation state is the abnormal state as a slow query statement, and calculating to obtain a target feature value of the slow query speech; further determining whether the target feature value has a preset alarm threshold value in response to determining that the target feature value is not in the preset white list range; wherein the preset white list comprises a plurality of characteristic values allowing operation query; and in response to determining that the target characteristic value has a preset alarm threshold value, executing an alarm strategy. The embodiment of the invention aims to improve the real-time performance, accuracy and efficiency of database monitoring.

The present invention provides a method for predicting the thermal error of an electric spindle in advance based on a deep learning algorithm. The method collects the surface temperature and the displacement data of the electric spindle by arranging multiple temperature sensors and displacement sensors on the surface of the electric spindle, and trains a thermal error prediction network composed of a time domain convolution network, a gated loop network, and a fully connected network to achieve the thermal error prediction of the electric spindle in advance. The present invention adopts a thermal error prediction network to predict the advance amount of the thermal error of the electric spindle, and can compensate before the error occurs, thereby improving the machining accuracy and the stability of the electric spindle. At the same time, the thermal error prediction network adopts a multi-way parallel neural network and a fully connected network design, which enhances the adaptability and robustness of the model and provides a flexible solution for electric spindles of different types and specifications.

The invention provides a method and equipment for aggregation optimization of distributed resources of a virtual power plant under homomorphic encryption. The method comprises the steps of obtaining distributed resource data of a virtual power plant; performing classification; homomorphic encryption processing is carried out to obtain encrypted data; performing homomorphic encryption optimization to obtain a ciphertext of the distributed resource data of the virtual power plant; based on the encrypted virtual power plant distributed resource data, determining a target and constraint conditions of virtual power plant distributed resource aggregation optimization, and constructing a virtual power plant distributed resource aggregation optimization model; and solving the virtual power plant distributed resource aggregation optimization model through a heuristic algorithm to obtain a virtual power plant distributed resource aggregation optimization scheme. Under the condition that original data are not exposed, efficient aggregation and optimization of the distributed resources of the virtual power plant are achieved. The security and privacy of the distributed resource data of the virtual power plant are ensured, the energy utilization efficiency and the system stability are improved, and technical support is provided for the construction of an intelligent power grid and the virtual power plant.

The invention discloses a performance evaluation method for limestone wet desulphurization slurry of a coal-fired power plant, which comprises the following steps: (1) selecting proper evaluation indexes which can comprehensively reflect the performance of the desulphurization slurry and the desulphurization efficiency of the coal-fired power plant, and the core indexes comprise oxidation reduction potential (ORP), pH value, slurry density and desulphurization efficiency; (2) evaluation grades are determined, and evaluation results are divided into an excellent grade, a good grade, a medium grade and a poor grade; and (3) constructing a membership function, using a triangular membership function or a trapezoidal membership function for each evaluation index, and converting data into a membership value to facilitate comprehensive evaluation. And (4) calculating the weight of each index by using an entropy weight method, and calculating the comprehensive membership degree by using a weighted geometric averaging method. And (5) determining a final evaluation grade according to the comprehensive membership degree. The performance of the desulfurization slurry can be comprehensively evaluated, decision support is provided for stable operation of a desulfurization system of a coal-fired power plant, and field operators are helped to perform optimization operation of the desulfurization system.

The invention discloses a medium and low voltage power distribution network fault recovery method based on a BWO algorithm, and the method comprises the steps: S101, obtaining a target power distribution network data set, and constructing a distributed power supply and load system model; s102, carrying out preliminary island division by taking the minimum important load loss after the fault as a target; s103, solving is carried out according to a BWO optimization algorithm, and the population is continuously iterated and updated until the number of iterations is reached or a termination condition is met; and S104, carrying out fault recovery according to a solving result.

The invention provides an oil product near infrared spectrum detection method and a detection device.The device comprises a sample pool, a near infrared light source, a linear array type infrared light filter, a linear array camera and a circuit part, and the sample pool is used for containing an oil sample to be detected; the near-infrared light source is used for irradiating an oil sample to be detected; the linear array type infrared optical filter is a step type thin film FP cavity filter, and the step type thin film FP cavity filter is used for performing multispectral light splitting treatment on an optical signal transmitted when the near-infrared light source irradiates the oil sample to be detected to obtain a multispectral transmission signal; the linear array camera comprises a linear array type infrared image sensor and a camera circuit board, and the linear array type infrared image sensor is used for sensing the multispectral transmission signal and generating image data through the camera circuit board; and the circuit part is used for obtaining the component information of the oil sample to be detected based on the image data and the oil component inversion model, so that the function of quickly and accurately detecting the quality of the light oil on site is realized.

The invention provides a collaborative development process data synchronization and notification method. According to the method, an automatic process is triggered by monitoring a test-submitted event message queue, development data is positioned based on module identification, key operation features (such as database change and task start and stop) are analyzed and extracted by using natural language, and feature extraction precision is improved by combining a dynamic keyword library and cross-modal fusion; the timeliness and reliability of risk reminding are ensured through template message generation and multi-channel delivery; a risk propagation range is further predicted by means of a dependency graph model, and a closed-loop early warning mechanism is formed. According to the method, the problem of delay caused by information lagging and insufficient collaboration in the development process is solved, the risk of manual operation is reduced, and the efficiency and controllability of project management are improved.

The invention discloses a micro-flow fluid medium flow temperature control system, a temperature control method and an electrolytic bath, and the system is characterized in that a multi-stage temperature control strategy is adopted on a fluid medium circulation loop, and a cooling device and double heaters are combined; the plurality of temperature measuring devices are respectively arranged at the outlet of the cooling device, the outlets of the double heaters and the inlet of the heated component; the system further comprises a PID controller, the PID controller is connected with the cooling device, the double heaters and the multiple temperature measuring devices, the PID controller adjusts power output of the heaters, the heat dissipation power and the heating power of outlets of the heaters and inlets of the heated parts are balanced, and the debugging efficiency and the system stability are improved.

The application relates to a self-adaptive self-powered flexible sensing device based on triboelectricity and a preparation method thereof, which comprises a flexible device, a charging module and a single-chip circuit board; the flexible device comprises, from top to bottom, a triboelectric layer, an insulating layer, a potential layer and a battery layer; the triboelectric layer is connected with the charging module, the charging module is connected with the battery layer, and the battery layer is connected with the single-chip circuit board. The system collects signals of multiple electrode ports through a single-chip microcomputer and transmits the signals to a mobile phone or a computer terminal through Bluetooth wireless transmission, so that the convenience and expansibility of data acquisition are improved, and real-time monitoring and remote interaction application can be constructed.

The application discloses a kind of robot friction stir welding force-position hybrid control method, it is related to robot welding control technical field, comprising the following steps: step S10 establishes the hybrid strategy model based on constant displacement control and constant pressure control, the trajectory deviation caused by flexible deformation is compensated by robot dynamic offset function;The constant displacement control monitors welding depth in real time by laser sensor, the laser sensor is installed in 45° oblique direction to the outer wall of motorized spindle, and the collection point is located in the front side of the welding advancing direction, to avoid the interference of flash;The constant pressure control is collected axial upset force by six-dimensional force sensor, and force feedback type impedance control strategy is adopted.The robot friction stir welding force-position hybrid control method compensates the flexible deformation of robot by dynamic offset function, combined with the hybrid strategy of constant displacement and constant pressure control, solves the problem of uneven weld forming under single control mode.

The utility model provides a bidirectional hydraulic lock which comprises a lock body, a middle cavity is formed in the lock body, a first cavity and a second cavity are symmetrically formed in the two sides of the middle cavity respectively, two symmetrical auxiliary cavities are arranged in the middle cavity, limiting rings are arranged in the two auxiliary cavities, and a sliding groove is formed in the inner wall of the middle cavity; a middle cavity is formed in the lock body, a lock cylinder is arranged in the middle cavity, a limiting block matched with the sliding groove is arranged on the peripheral wall of the center of the lock cylinder, the limiting block is located in the sliding groove, a first groove and a second groove are symmetrically formed in the peripheral wall of the lock cylinder, and an observation window penetrating through the middle cavity is formed in one side of the lock body. The limiting blocks on the circumferential wall of the lock cylinder are guided to move accurately through the sliding grooves, deviation caused by oil friction is effectively avoided, meanwhile, the sliding blocks are limited through the limiting rings in the two auxiliary cavities, it is guaranteed that the lock cylinder keeps stable in the reciprocating motion process, the motion state of the lock cylinder can be monitored in real time through the observation window, and abnormity can be found in time.

The present invention discloses a robot integrated scheduling system integrating multiple brands, and relates to the technical field of robot integrated scheduling, comprising a task acquisition module, which is used for a scheduling system to obtain a list of tasks to be executed from a production management system; a robot division module, which is used to generate a plurality of groups of task switching time interval vectors; a task allocation module, which is used to allocate tasks to robots based on a plurality of groups of task switching time interval vectors and a task list; a data acquisition module, which is used to obtain multi-robot efficiency data and system resource data when robots perform tasks; a task switching time interval evaluation model is constructed based on machine learning; and a screening module, which is used to perform data analysis to obtain screened task switching time interval vectors, which are applied to the integrated scheduling of robots of multiple brands, and solve the problem that the setting of task switching time intervals in multi-brand robot systems lacks flexibility, and easily leads to an imbalance between resource utilization and task connection efficiency in the scheduling system.

This utility model discloses a multi-layer skid-mounted desuperheating and pressure reducing device, relating to the field of desuperheating and pressure reducing devices for high-temperature steam. Existing desuperheating and pressure reducing devices mostly adopt a decentralized layout, with steam pipelines, high-pressure boiler water pipelines, and auxiliary pipelines distributed haphazardly. This not only occupies a large amount of installation space but also causes mutual interference between pipelines, increasing maintenance difficulty. This utility model includes steam pipelines, high-pressure boiler water supply pipelines, and condensate discharge pipelines. The steam pipelines, arranged sequentially according to the steam flow direction, include a steam pressure reducing pipeline section, a steam desuperheating pipeline section, and a steam outlet pipeline section. The condensate discharge pipeline, steam pressure reducing pipeline section, high-pressure boiler water supply pipeline, and steam outlet pipeline section are arranged horizontally in layers at different heights from bottom to top on a skid-mounted base. By dividing the pipeline sections into multiple horizontal layers at different heights, a compact layout of the equipment is achieved, saving installation space. The layered design facilitates independent operation and maintenance of each pipeline and reduces mutual interference.

The invention provides an intelligent cabin probe data processing method and device and computer equipment, relates to the technical field of intelligent cabin monitoring, and aims to realize full coverage of structural probe data categories of an intelligent cabin, efficient processing of high-frequency probe data and no loss of key probes and provide a system-level probe processing framework and interface support for data burying points. The scheme comprises the following steps: capturing a multi-source event of the intelligent cabin system; generating different first probe data according to different multi-source events, and caching the first probe data into a probe processing framework; implementing a cache and pop-up strategy on the first probe data by using the probe processing framework, popping up second probe data, and distributing the second probe data to a data burying point control; and uploading the second probe data to the cloud by using the data burying point control.

This invention provides a wafer transfer device and a semiconductor processing system. The wafer transfer device includes a carrier stage and a wafer cassette. The wafer cassette includes a wafer cover and a wafer carrier. The wafer carrier is disposed on the carrier stage. The wafer cover has a downward-facing opening and is closable over the wafer carrier. The wafer cover is movable relative to the carrier stage along the Z-axis, allowing it to transition between a closed state and an open state. In the closed state, the wafer cover covers the wafer carrier; in the open state, the wafer cover moves upward to expose the wafer carrier. Therefore, the wafer transfer device of this invention not only improves positioning accuracy and system stability but also helps reduce the cost of the associated transfer robot.

The invention belongs to the technical field of nano materials, and particularly relates to a water dispersible ceramide product as well as a preparation method and a preparation system thereof, and the water dispersible ceramide product is prepared by mixing a ceramide phase, a water phase and an additive phase. The invention also provides a preparation method of the water-dispersible ceramide product. According to the preparation method, the water-dispersible nano ceramide is continuously produced through continuous flow; meanwhile, adding phase feeding nodes are arranged, adding phases are increased or decreased at any time according to production requirements, and produced products are adjusted in real time; the process is simple in preparation process, does not need high pressure, is flexible in production, and can modulate products according to production tasks at any time.

This application discloses a teach-free weld seam positioning method, apparatus, equipment, storage medium, and program product for industrial robots, relating to the field of automation technology. The teach-free weld seam positioning method for industrial robots includes: scanning a preset welding trajectory using a line laser to obtain the line laser scanning trajectory of the preset welding trajectory in the line laser tool coordinate system; transforming the line laser scanning trajectory to determine the tool center point pose of the welding torch end-effector trajectory in the welding torch end-effector coordinate system; and determining the welding point pose of the welding torch based on the tool center point pose. Since the line laser scanning trajectory obtained by scanning the preset welding trajectory using a line laser emitter is recorded, the actual welding torch end-effector trajectory is simulated; by converting the line laser scanning trajectory into the welding torch end-effector tool center point in the welding torch end-effector coordinate system, resource consumption caused by frequent coordinate transformations during welding is avoided, improving system efficiency and stability.

The present invention belongs to the technical field of power system monitoring, and is specifically a wireless cable temperature measurement system and method thereof, wherein the system includes an operation information acquisition module, a layout planning analysis module, a data standardization module, a change trend analysis module, an early warning threshold adjustment module, and a fault location analysis module. In the present invention, by analyzing the cable operation data and environmental information, considering the coverage, data transmission delay and signal attenuation, optimizing the layout of the temperature sensor, enhancing the response speed and data accuracy of the temperature sensor network, formatting and processing the temperature data and performing time series analysis, evaluating the temperature change trend, realizing the identification of abnormal temperature risks at an early stage and increasing the accuracy of fault prediction, adjusting the cable temperature risk monitoring threshold in combination with the cable specifications and meteorological information, improving the timeliness and effectiveness of risk management, improving the fault response speed and system stability, reducing maintenance costs, and improving the reliability and safety of the power grid.

This application provides a method and system for elastic scheduling of containerized resources in a cloud computing environment, relating to the field of elastic scheduling technology for containerized resources. This application generates detailed data recording the resource competition relationships between tenants by acquiring various resource contention events; identifies preset high-frequency conflict patterns through in-depth data analysis, determining specific tenant groups with strong resource mutual exclusion effects; dynamically estimates the probability level of resource conflicts between new containers and specific tenant groups by combining historical contention information and real-time resource load status; generates a dynamic isolation scheduling strategy based on the conflict risk indicated by the probability level; and configures and adjusts independent conflict buffer resource pools for designated key tenants. This enables the identification of tenant resource conflict patterns and the implementation of dynamic isolation scheduling and buffer resource configuration, improving the resource utilization efficiency and system stability of multi-tenant containers in a cloud computing environment.

The invention belongs to the technical field of polyurethane compositions, and particularly relates to all-water foaming stone-like polyurethane foam as well as a preparation method and application thereof. The all-water foaming stone-like polyurethane foam is composed of a component A and a component B in a mass ratio of 1: (1-1.15), and the component A comprises the following raw materials: polyether polyol 1, polyether polyol 2, polyether polyol 3, a composite catalyst, a flame retardant, a surfactant and water; and the component B is polymethylene polyphenyl isocyanate. According to the all-water foaming stone-like polyurethane foam provided by the invention, polyethers with different viscosities are combined and cooperate with different types of catalysts, and an all-water foaming mode is adopted, so that the fluidity of a system is improved, the characteristic of rapid curing is maintained, bubbles on the surface of a product can be effectively eliminated, and the performance of the product is improved. The hard polyurethane product with clear texture and flat and stone-like surface is obtained; the invention also provides a preparation method thereof.