54results about How to "Reliable design principle" patented technology

This invention relates to the field of flight scheduling technology, specifically providing a method, system, device, and storage medium for collaborative scheduling of low-altitude aircraft. The method includes: edge nodes receiving real-time data from a swarm of drones and generating corresponding scheduling data using a pre-deployed scheduling model; if the edge nodes confirm that the real-time data is environmental mutation data, they upload the environmental mutation data to a regional cloud; the regional cloud matches the environmental mutation data with historical scenario data; if the match is successful, scheduling data is generated; if the match fails, the environmental mutation data is uploaded to a central cloud; the central cloud generates scheduling data based on the received environmental mutation data and returns the scheduling data to the regional cloud, which then distributes the scheduling data to the edge nodes. This invention constructs a low-altitude traffic management system that combines real-time performance, reliability, and self-evolution capabilities.

The invention discloses a denitration catalyst appearance defect detection method and system based on machine vision, relates to a machine vision detection technology, and is used for solving the problems of low detection efficiency, incomplete image coverage and single defect identification of an existing detection method. The method specifically comprises the following steps: acquiring a denitration catalyst surface image through an industrial camera, segmenting the denitration catalyst surface image, preprocessing the denitration catalyst surface image, detecting whether the preprocessed denitration catalyst surface image has defects or not in advance, performing refined operation on the basis of a gray value of the denitration catalyst surface image with the defects or not to obtain a target defect, and dividing defect types. According to the method, the problems of smooth and reflective surface and fuzzy edge of the denitration catalyst are effectively solved, defect missing detection caused by image quality is avoided, and the detection efficiency is improved.

This application relates to a supplementary lighting system and method for climate chambers, belonging to the field of artificial climate chamber technology, to solve the problems of low accuracy in judging lighting needs and poor effectiveness in utilizing natural light in existing climate chamber supplementary lighting. The method includes: collecting signals of natural light intensity, incident direction, and photosynthetically effective spectral distribution; constructing a comprehensive lighting judgment value to determine the lighting needs; comparing the incident direction with the optimal light-incident direction of the light guide plate and initiating the rotation adjustment of the tracking light beam; and combining the transmission effect feedback calibration of the fiber optic light guide system. This application achieves accurate judgment of lighting needs and efficient utilization of natural light through the synergy of multi-dimensional signal acquisition, comprehensive judgment, directional light tracking, and transmission calibration, solving the problems of poor adaptability and high energy consumption caused by single-parameter detection and fixed light guides in traditional supplementary lighting.

This invention belongs to the field of vehicle technology, specifically providing a system and method for multiplexing the output shaft speed of an engineering vehicle's transmission. The system includes a vehicle controller, a vehicle instrument cluster, and a transmission controller connected via a CAN bus. The vehicle controller is connected to a transmission input shaft speed sensor via a first relay. The vehicle controller is also connected to a transmission output shaft speed sensor via a second relay. A third relay is connected to both the vehicle instrument cluster and the second relay. The transmission controller is connected to both the first and second relays. The vehicle controller controls the operation of the corresponding relays based on the transmission type configured in the vehicle, connecting the signal paths of the corresponding sensors. After the sensor signal paths are connected, the vehicle controller determines the operating mode and controls the relevant relays accordingly. This provides accurate and reliable speed values, effectively improving the safety of the upper structure's operating mode.

The utility model provides a pocket sewing mould, which belongs to the field of sewing moulds and comprises a bottom surface template and an upper layer template, the rear end of the bottom surface template is connected with the rear end of the upper layer template through a first rotary opening and closing connecting piece, and at least one pocket cloth placing unit is arranged on the surface of the bottom surface template. At least one pocket cloth pressing unit is arranged on the surface of the upper-layer template, and the pocket cloth pressing units can be aligned with the pocket cloth placing units one by one; a middle positioning plate is mounted on the upper surface of each pocket cloth placing unit through a rotary opening and closing connecting piece II, and a LOGO positioning block and a cloth bonding piece are arranged on the upper surface of each middle positioning plate; the pocket cloth pressing unit is provided with a positioning block avoiding groove, and the positioning block avoiding groove can be aligned with the LOGO positioning block. The LOGO positioning device has the advantages that consistency and standardization of LOGO positions can be guaranteed, and the purposes of improving product quality and eliminating manual experience dependence are achieved.

This invention belongs to the field of server upgrade management technology, specifically providing a system and method for implementing dual BMC switching upgrades. The system includes a motherboard and an I / O switching board. The motherboard has a master BMC, and the I / O switching board has a slave BMC and a path selection chip. The path selection chip is connected to a network interface and is connected to both the master and slave BMCs via a PHY chip. The slave BMC is connected to the path selection chip and is used to control the path selection of the path selection chip. The slave BMC is used to connect to the module to be upgraded. The path selection chip, controlled by the master BMC via I2C and Heartbeat, selects whether network control belongs to the master or slave BMC. Thus, when the GPU needs to be managed and upgraded in S5 state, network control can be switched from the master BMC to the slave BMC, thereby completing the switching of the slave BMC's management upgrade path.

The slag flushing waste heat gradient utilization and combined cooling heating and power supply system comprises a heat pipe flat plate steam heat collector, a heat pipe flat plate fluid heat collector, a temperature difference power generation device, a heat exchanger, a heat pump unit, a lithium bromide refrigerating unit and a power storage and heat storage device. A gradient utilization process is constructed based on slag flushing waste heat temperature characteristics, specifically, slag flushing steam and slag flushing water waste heat are collected nearby through a heat collector and converted into electric energy through a temperature difference power generation device, and then a heat pump is used for improving the medium and low temperature waste heat grade for heat supply, or a lithium bromide refrigerating unit is used for cooling; the electricity storage device and the heat storage device balance supply and demand fluctuation, and an energy comprehensive utilization efficiency optimization function dynamically adjusts operation parameters in combination with waste heat characteristics, supply and demand and real-time electricity price. The system realizes combined supply of cooling, heating and power, breaks through the limitation of traditional single application, reduces steam transmission loss, improves waste heat utilization efficiency and supply stability, and provides an efficient solution for energy conservation and consumption reduction of iron and steel enterprises.

This utility model relates to a rainfall monitoring and alarm device, belonging to the field of rainfall monitoring technology. It includes an outer detection cylinder with an open top, and an inner detection cylinder vertically arranged inside. The bottom of the inner detection cylinder has several through holes connecting the inner and outer cylinders. A detection funnel is located at the top of the inner detection cylinder, and an electrode assembly is installed inside the funnel. The electrode assembly is connected to an alarm component on the outside of the outer detection cylinder via wires. An installation hole is provided on the side wall of the inner detection cylinder above the funnel, and an overflow pipe is fixedly installed in the installation hole. One end of the overflow pipe extends into the funnel, and the other end extends to the bottom of the outer detection cylinder. This utility model, by combining a mechanical structure with electrical signals, avoids the problem of impurities easily clogging the complex structure of tipping bucket sensors, and also overcomes the defect of electronic flow meters being easily affected by environmental interference.

The present application belongs to the technical field of vehicle control, and specifically provides a heavy desert tire inflation and deflation control system and method, which comprises an inflation and deflation control module, a tire inflation and deflation control assembly, a left tire pressure sensor, a right tire pressure sensor, a left axle load measurer, a right axle load measurer, a left axle ground clearance detector, a right axle ground clearance detector, a gravity centroid sensor, an inter-wheel differential lock and an inter-axle differential lock; the present application acquires corresponding vehicle state data of the vehicle through the left tire pressure sensor, the right tire pressure sensor, the gravity centroid sensor, the left axle load measurer, the right axle load measurer, the left axle ground clearance detector and the right axle ground clearance detector; in addition, the present application increases the tire-ground contact ratio by deflating the tire, reduces the tire rolling radius to increase the driving force of the vehicle, and engages the inter-axle differential lock and the inter-wheel differential lock, thereby effectively helping the vehicle to drive out of the sunken road surface in the desert.

The invention relates to the technical field of flue gas denitration, and particularly provides a NOx concentration prediction method, system and device based on a denitration system and a storage medium, and the method comprises the steps: obtaining historical working condition data, carrying out the standardization processing of the historical working condition data, and obtaining standard time series data; vectorizing the standard time sequence data to obtain a vector data set, and segmenting the vector data set by using a sliding window with a preset length to obtain a model training set; based on the model training set, training a pre-constructed initial NOx concentration prediction model to obtain a trained enhanced NOx concentration prediction model; based on denitration system operation data collected in real time, standardization processing is carried out, the trained enhanced NOx concentration prediction model is input, and a NOx concentration prediction value under the target working condition is obtained. According to the invention, local features and global features extracted by different encoder layers are effectively fused.

The invention belongs to the technical field of power equipment overhaul and maintenance, and relates to an automatic coke removal method and system for thermal power plant boiler coking, and the method comprises the following steps: completing coordinate calibration at a coke observation hole or an access door to establish mapping; obtaining a visible light image and an infrared thermal image under air curtain purging, scanning and splicing a panorama before cleaning, and determining a target point; generating a movement track and operation parameters for avoiding the water-cooled wall tube; after arrival, visual servo alignment, contact force or torque trigger position control, shearing force control, focusing and feedback parameter adjustment are carried out; the panoramic images after splicing and cleaning are compared to determine residual target points, and focusing is carried out again; and withdrawing or hole changing is repeated. According to the technical scheme, the consistency of target point positioning and track alignment can be improved, load closed-loop controllability and result rechecking performance are enhanced, and multi-hole-site continuous operation is supported.

This invention relates to the field of server technology, specifically providing a method, system, terminal, and storage medium for dynamic monitoring of hard disk performance. The method includes: setting a matching hard disk performance data collection frequency for a business scenario based on the performance requirements of that scenario; monitoring the actual business scenario of the server and obtaining a target collection frequency matching the actual business scenario; periodically collecting hard disk performance data by calling a hard disk performance data collection script according to the target collection frequency; and using pre-stored standard performance data to determine anomalies in the hard disk performance data and identifying the data as abnormal. This invention can flexibly update the hard disk performance monitoring frequency according to the server's business scenario, thereby avoiding resource waste or untimely hard disk performance monitoring.

The present application relates to the technical field of laser processing, and particularly provides a pipe feeding equipment independent testing method, system, terminal and storage medium, comprising: simulating generating a laser pipe cutting equipment in-position signal, and controlling the pipe feeding equipment to execute a feeding program; collecting position detection data of a first sensor in a pipe feeding process of the pipe feeding equipment, the first sensor being arranged at a key position of the pipe feeding equipment; collecting weight data of a transported pipe collected by a second sensor, the second sensor being arranged at a pipe receiving equipment; and generating a test result of the pipe feeding equipment based on the position detection data, the weight data and pipe transportation record data of the pipe feeding equipment. The present application can independently test the pipe feeding equipment without the cooperation of the laser pipe cutting equipment, greatly improving the testing efficiency.

This invention relates to a sensor sampling device, method, terminal, and medium based on a constant current source, belonging to the field of vehicle sensor technology. It includes a control module, a sensor sensing element, and an external power supply. The control module comprises a main controller, a first-stage step-down circuit, a constant current source circuit, an internal pre-drive circuit, a first switch, a second switch, and a sampling circuit. By setting the first switch and the internal pre-drive circuit, this invention ensures that after power-on, the constant current source circuit reaches a constant output. Then, the first switch is opened, and the second switch is closed, allowing the constant current source circuit to provide a stable, constant current output to the sensor sensing element, thereby improving the sampling accuracy of the sensor sensing element.

The invention discloses a generator set multiple quantitative analysis system and method based on thermodynamic digital twinning and artificial intelligence, and the system comprises a thermodynamic digital twinning module which is used for simulating the thermal state of a generator set in real time according to boundary conditions; the expert model module is used for calculating unit performance and virtual power station performance according to the actual parameters; the AI analysis optimization module is used for calling intermediate parameters of the digital twin and expert model to perform quantitative analysis and diagnosis, generating an optimization strategy and verifying the strategy; and the credibility guarantee module is used for guaranteeing the interpretability and reliability of the system. According to the method, an AI model with digital twin and expert models as data and knowledge basis and physical rules as constraints is constructed, closed-loop management of intelligent analysis, diagnosis and operation optimization of the generator set is realized, and the problems of insufficient modeling precision, insufficient strategy reliability, insufficient credibility, unbalanced data privacy and generalization ability and the like in the prior art are remarkably solved.

This application relates to a servo electric cylinder drive system and control method for a waste hopper cover door, belonging to the field of mechanical engineering. It addresses the problems of existing waste hopper cover door drive control methods being complex in structure, low in intelligence, and lacking reliable position holding and safety protection mechanisms. The method includes: upon receiving an opening / closing command, first unlocking the power-off holding safety lock; then driving the cover door to move via the servo electric cylinder; combining encoder displacement feedback with closed-loop adjustment of motor torque and speed; real-time monitoring of load torque and execution of a micro-reverse anti-jamming algorithm; using both encoder and proximity switch signals to determine the positioning status; upon positioning, mechanical locking is achieved by a reset spring driving a locking pin to engage with the drive shaft groove; if locking is incomplete, automatic retry is performed, ultimately entering the power-off holding state. This application achieves opening and closing control and intelligent locking of the waste hopper cover door through the above method, improving the overall system safety.

The application belongs to the technical field of power distribution maintenance equipment, and specifically provides a double-port wire clamp, aiming at solving the problems of complex operation, low efficiency and insufficient safety of live working tools in the prior art. The double-port wire clamp comprises a first clamp handle, a second clamp handle, a first clamp head, a second clamp head and a pin shaft, the clamp head parts are pivoted together through the pin shaft, two clamp jaws are arranged in parallel on the first clamp head and the second clamp head, grooves are arranged on the clamp jaws, the groove opening directions of the two clamp heads are opposite, so that a stable wire clamping groove can be formed when the wire is clamped, the double-port wire clamp can clamp two wires at the same time, and it is not necessary to remove one wire, wrap the other wire with insulation, and then process the other wire as in the prior art, so that the operation steps are greatly simplified, and the working time is shortened.

The invention belongs to the technical field of fan equipment maintenance management, and relates to an intelligent maintenance management system and method for fan equipment, and the system comprises a data access unit which generates a unified maintenance data set according to a maintenance data exchange standard; the standard library unit is used for storing an operation instruction standard, an equipment fault model library, an acceptance standard, an evaluation standard and a maintenance file package template; the diagnosis decision-making unit is used for outputting diagnosis results containing phenomena, reasons, conclusions and disposal suggestion fields and one-to-one maintenance schemes; the work order management and control unit is used for generating a work order and a maintenance file package and forming a node constraint acquisition process record; the archiving updating unit is used for generating an archiving data set and updating a fault model through consistency verification during closed loop; and the evaluation unit is used for generating an evaluation result after closed loop. According to the technical scheme, the cross-system data connection consistency and evaluation evidence support stability can be improved, the reusability of the maintenance decision basis is enhanced, and the management requirements of maintenance operation on closed-loop treatment and quality management and control are met.

The utility model relates to a kind of DTU edge gateway equipment, belong to communication equipment technical field, including central processing circuit, USB interface circuit, ethernet communication circuit, RS485 communication circuit, CAN communication circuit, input-output circuit and the power supply circuit for the power supply of entire equipment, central processing circuit includes gateway chip U1 and the peripheral subcircuit connected to gateway chip U1, USB interface circuit, ethernet communication circuit, RS485 communication circuit, CAN communication circuit and input-output circuit are all with gateway chip U1 communication connection.The utility model integrates USB interface circuit, ethernet communication circuit, RS485 communication circuit and CAN communication circuit, can simultaneously support multiple communication protocols, such as USB, ethernet, RS485 and CAN etc.;Greatly improve the data interaction efficiency and the interconnection intercommunication ability between equipment.

This invention belongs to the field of vehicle braking technology, specifically providing a brake pad wear diagnosis method based on a fuzzy neural network. The method includes: determining characteristic variables of brake pad wear thickness as input variables; constructing an initial brake pad wear diagnosis model based on a fuzzy neural network; acquiring training samples and inputting them into the initial brake pad wear diagnosis model, and determining a final brake pad wear diagnosis model using an adaptive particle swarm optimization algorithm; inputting the input variables into the final brake pad wear diagnosis model to calculate the brake pad wear thickness and remaining thickness; determining whether the remaining brake pad thickness is less than a preset minimum brake pad thickness threshold; obtaining the brake pad wear thickness using a brake pad wear prediction model established based on a fuzzy neural network, and optimizing the model parameters using an adaptive particle swarm optimization algorithm; and calculating the remaining thickness based on the wear thickness, thereby achieving real-time monitoring and diagnosis of brake pad wear in the absence of a brake pad thickness sensor.

The application provides a kind of server overall performance comparison test method, device, equipment and medium, belong to server performance test technical field, the method steps: the limit stress value when server sample is collected to carry out stress test, and record whether server sample can normally run under limit stress value;Extract the data characteristics corresponding to server sample when testing under safe stress value;Based on the training data set constructed by the data characteristics when running under safe stress value and the corresponding running results of limit stress value;Build BP neural network model, and use training data set to train, obtain data classification model;Extract the data characteristics corresponding to server safe stress value, and input server stress test classification model to data characteristics, predict whether server limit stress value can normally run.The application can predict whether server limit stress value can run by trained server stress test data classification model under server safe stress.

This invention relates to a distributed energy collaborative optimization method based on a cloud-edge-device architecture, belonging to the field of smart microgrid technology. Technical solution: S1. Define a four-layer cloud-edge-device architecture; S2. Information transmission stage: Information is reported upwards and circulated and transmitted at the same level; S3. Demand optimization stage: Demand is decomposed downwards and optimized collaboratively at the same level; S4. Energy flow stage: Energy is aggregated upwards and interacts and communicates at the same level. This invention, through its designed four-layer cloud-edge-device architecture, enables distributed energy to shift from centralized control to active participation in demand response. Based on this, a distributed energy collaborative optimization method based on the cloud-edge-device architecture is further designed, achieving full-domain collaborative optimization of distributed energy. Firstly, it reduces the response error of distributed energy; secondly, it effectively reduces the response time of distributed energy, solving the problem of excessive computing power in traditional centralized control; and thirdly, it reduces the operating cost of distributed energy, addressing the high operating cost of distributed energy.

The utility model relates to a kind of three-level main control device, belong to battery energy storage control equipment technical field, including BMS three-level controller, storage unit, clock unit, the communication unit with several kinds of communication interface and the power unit for the power supply of entire device;Storage unit, clock unit and communication unit are all connected to BMS three-level controller.The three-level main control device in the utility model integrates CAN bus interface, 485 interface, Ethernet interface and WIFI / Bluetooth interface and other various communication interfaces, can directly adapt to the access needs of diversified equipment, avoids the data exchange problem caused by communication interface mismatch, improves the communication compatibility and interoperability between equipment.

The application relates to a power system carbon index joint evaluation method and device based on an edge perception graph neural network, and belongs to the field of power systems, aiming to solve the problems of low evaluation efficiency, weak coordination between node and line carbon indexes, low integrated output degree and poor consistency of multi-index parallel output of existing carbon index evaluation. A running condition sample set is constructed, five types of carbon index labels are generated through power flow calculation and carbon emission flow analysis; the power system is abstracted into a graph structure, node and edge features are extracted to construct a training data set; an edge perception graph neural network is constructed to fuse the node and edge features; carbon indexes are output through double-channel decoding; the model is trained using a joint loss function to realize rapid carbon index evaluation. The application realizes integrated joint evaluation of node and line carbon indexes, improves evaluation efficiency and output consistency, solves the problems of poor adaptability and slow response of traditional evaluation, and can support high-frequency near-real-time calls.

The application provides a server unified firmware management system, method, device, equipment and medium, and belongs to the technical field of server firmware management.The system comprises a BMC, a CPLD, main and standby BIOS flash memories, main and standby SCP flash memories and a host CPU;the BMC is connected with the main and standby BIOS flash memories and the main and standby SCP flash memories;the CPLD is connected with the main BIOS flash memory, the standby BIOS flash memory, the main SCP flash memory and the standby SCP flash memory;the CPLD is also connected with the BMC and the host CPU;the main BIOS flash memory stores a main BIOS firmware image, and the standby BIOS flash memory stores a standby BIOS firmware image;the main SCP flash memory stores a main SCP firmware image, and the standby SCP flash memory stores a standby SCP firmware image.The application unifies the matching startup and upgrade of BIOS firmware and SCP firmware, has high upgrade efficiency, ensures that the two firmware can be successfully started, and guarantees the stable operation of the server.

This invention relates to the field of image processing technology, specifically providing an image display method, system, device, and medium based on a multi-layer transparent display screen. The method includes: obtaining the number of display screen layers of the display device, and setting the number of image segmentation layers based on the number of display screen layers and image content, wherein the number of segmentation layers does not exceed the number of display screen layers; assigning one or more labels to each pixel of the image using a deep learning model, wherein the labels indicate the corresponding display screen layer index, and the labels and display screen layer indices have a mapping relationship; grouping the image into multiple sub-images according to the labels, each sub-image corresponding to a display screen layer index; performing transparent background completion processing on the sub-images to optimize the display effect; and outputting the processed sub-images to the corresponding display screen layers according to the display screen layer indexes corresponding to the sub-images. This invention achieves pixel-level intelligent layering through a deep learning model, significantly improving the quality of multi-layer transparent displays.

The application provides a high-resolution satellite remote sensing image mosaic line extraction method and system, and belongs to the field of image processing, which can: extract a common area on a first image S1 and a second image S2, and mark the common area as an image P; the first image S1 and the second image S2 are two high-resolution satellite remote sensing images to be mosaicked; assign an energy value to each pixel on the image P through a pre-set energy function; construct an energy matrix E for the image P based on the assigned energy value; extract a path with the minimum sum of all energies in the energy matrix E as a mosaic path; and draw a mosaic line in the image P based on the mosaic path. The mosaic line extracted by the application can avoid passing through ground objects, and can be directly used for mosaicking without manual intervention and modification, and can be widely applied to the mosaicking of remote sensing images with high mosaicking quality requirements.

The application provides a midpoint potential balance control method based on a notch filter and a compensator, and belongs to the technical field of converters, and comprises the following steps: determining a difference signal of a positive midpoint bus capacitor voltage signal and a negative midpoint bus capacitor voltage signal of a three-level converter DC side, and inputting the difference signal into a notch filter for processing; inputting the processed difference signal as a negative feedback signal into a compensator together with a zero reference signal; dividing a compensator output signal by a specific proportional coefficient as a zero sequence modulation signal, and superimposing the zero sequence modulation signal into three-phase modulation signals of a current converter, and generating a PWM signal according to the three-phase modulation signals superimposed with the zero sequence modulation signal, so as to control the midpoint potential balance of the three-level converter DC side; the application generates a zero sequence modulation signal by using a notch filter and a compensator, and superimposes the zero sequence modulation signal on three-phase alternating current modulation signals, so as to control the current on the neutral line, and the problem of midpoint potential imbalance of the three-level converter DC side capacitor can be solved.

The present application belongs to the gearbox lubricating oil monitoring technical field, specifically provides gearbox lubricating oil oil level calculation method, device, oil level prompting method and system, the calculation method includes the following steps: creating viscosity-temperature characteristic model of lubricating oil; the model number of the lubricating oil adopted by the gearbox is obtained; the characteristic fitting coefficient is determined according to the model number of the lubricating oil adopted by the gearbox, and the viscosity of the lubricating oil is calculated in combination with the viscosity-temperature characteristic model of the lubricating oil created; the gearbox lubricating oil oil level calculation model is created; the fitting coefficient of the gearbox is determined; the temperature information of the lubricating oil, the input speed information and the input torque information of the gearbox neutral state are collected; the collected information and the calculated viscosity of the lubricating oil are input into the gearbox lubricating oil oil level calculation model, and the lubricating oil oil level information is calculated in combination with the determined fitting coefficient of the gearbox. The gearbox lubricating oil oil level is calculated based on the constructed gearbox lubricating oil oil level calculation model, and the gearbox oil level monitoring is realized.