229results about How to "Quick identification" patented technology

The invention provides a remote sensing monitoring multi-scale space grid index construction method and device, and belongs to the technical field of remote sensing monitoring, and the method comprises the steps: dividing uniform basic grids based on the geographic boundary of a monitoring region; calculating a service importance score fusing the supervision priority, the geographic complexity and the historical change frequency for each basic grid; according to the score, a preset threshold value and a dynamic decision, refinement, maintenance or aggregation operation is executed on the basic grid, and a service-adaptive multi-scale grid structure is formed; unified codes based on a Z-order curve are generated for all the grids; establishing association mapping between the water conservancy business object and the grid and determining a main grid; and finally outputting a spatial grid index fusing geometry, coding, hierarchy, attribute and association relationship. According to the method, the AI interpretation efficiency of the mass remote sensing data can be remarkably improved, the allocation of computing resources is optimized, and the accuracy of monitoring and early warning is improved through deep fusion with business rules such as river and lake supervision.

The application discloses a kind of depot train wheelset rapid detection and maintenance positioning device and method, belong to train wheelset detection technical field, rotating jacking mechanism will be contacted with wheelset axle and lift wheelset from the rail of maintenance platform, and drive its rotation, rail and wheel are provided with flange detection component, flange detection component can be continuously checked and explored by mechanical probe rod and ultrasonic probe, wheel side detection component is set on rotating jacking mechanism, wheel side detection component is detected to wheel side by laser scanning detector, flange detection component and wheel side detection component are transmitted to host computer, and the mechanical model of both sides wheel is formed in host computer and shows damage point, host computer controls the stepping motor movement of rotating jacking mechanism, damage point can be selected by host computer screen, and rotating jacking mechanism is controlled to rotate slowly, finally make damage point stay to the exploration point of ultrasonic probe or laser scanning detector, it is convenient for maintenance personnel to identify suspicious damage point.

The present application relates to the technical field of power distribution control, and particularly relates to a power intelligent dynamic distribution method for a skid steer loader based on multi-working condition identification. The method comprises the following steps: performing skid steer loader multi-modal operation characteristic analysis on power states of skid steer loader multi-source operation data to generate skid steer loader multi-modal operation characteristic data; performing skid steer loader working condition characteristic analysis on the skid steer loader multi-modal operation characteristic data to generate skid steer loader working condition characteristic data; performing power demand characteristic analysis on working condition dynamic change trends based on skid steer loader real-time operation data and the skid steer loader working condition characteristic data to generate working condition dynamic change trend power demand characteristic data; and performing skid steer loader power distribution and dynamic optimization processing based on the working condition dynamic change trend power demand characteristic data to generate skid steer loader power distribution dynamic optimization data. The present application realizes efficient and energy-saving intelligent distribution of power under multi-working conditions of a skid steer loader.

The invention provides an automatic opening and closing drawer structure which comprises a cabinet body, an inner cavity is formed in the cabinet body, a drawer is arranged in the inner cavity in a drawable mode, a rack is arranged on one side of the drawer in the drawer drawing direction, a driving unit meshed with the rack to drive the drawer to be opened or closed is arranged in the drawer, and an electromagnetic lock is arranged on the rear side of the inner cavity. The front end of the rack is hinged to the interior of the inner cavity, a back plate of the cabinet body is provided with a sliding groove, the rear end of the rack is provided with an operation arm which penetrates through the sliding groove and extends to the outer side of the cabinet body, and the locking mechanism is connected with the operation arm. The operating arm is detachably installed on the back plate of the cabinet body and at the rear end of the fixed rack, a pressing rod is arranged in the operating arm and used for pressing a shifting rod of the electromagnetic lock to release the locking state of the electromagnetic lock, and when the drawer needs to be opened emergently, the locking mechanism is detached, the operating arm is pressed, the gear is disengaged from the rack, and the locking state of the electromagnetic lock is released.

The present application belongs to the technical field of data analysis, and particularly relates to a high-throughput biosensing system for early warning of algal blooms and pathogens, which comprises multiple sampling units, a microfluidic chip with a multi-channel structure, and a high-throughput surface-enhanced Raman detection unit with an integrated metal nanostructure surface, and obtains the original surface-enhanced Raman spectrum of the water sample through a Raman spectrum acquisition mechanism. The system uses compressed spectrum sampling and sparse reconstruction methods to reduce the data volume and maintain the integrity of the spectrum information, constructs a pathogen Raman fingerprint dictionary through a dictionary learning method, and realizes the identification of different algal metabolites, algal toxins and pathogen-related molecular components and the concentration interval judgment thereof in combination with a sparse representation classification mechanism. Based on the type and concentration interval of the pathogens, the system further generates algal bloom risk warning and pathogen risk warning, and realizes early discovery of abnormal changes in the water body. The present application has significant advantages in stability, sensitivity, throughput and real-time performance.

This invention discloses an intelligent voiceprint anti-counterfeiting method, device, and equipment based on hops signals. It collects the voiceprint signals generated by hops hitting the bottle wall, then denoises the signals and extracts PLP features. These feature signals are then input into a CNN-GMM-HMM voiceprint model for training to construct an original standard database. After collecting sample voiceprint signals, they are preprocessed and then matched and identified with the voiceprint information in the standard database to achieve authenticity verification. Compared to traditional identification methods, this method can identify genuine and counterfeit liquor faster and more accurately, greatly improving work efficiency while helping to ensure the quality and safety of liquor.

This invention relates to the field of dental instrument technology, and in particular to a scaling tool capable of quickly identifying the working blade and its method of use. The scaling tool includes a handle and a working end. The working end has a working blade for contacting the tooth surface and an opposing non-working side; the scaling tool is also provided with a marking section corresponding to the working blade. This invention improves the speed and accuracy of dentists and instrument sharpeners in identifying the working blade, increases dentistry efficiency, and avoids unnecessary wear and tear on instruments.

This invention discloses an intelligent early warning system and method for railway line patrol safety based on edge computing, involving intelligent safety early warning in the railway transportation field, enabling real-time controllable emergency measures to minimize the negative impact of incidents. The edge computing-based intelligent early warning system for railway line patrol safety includes: a cloud platform for an intelligent patrol system along the railway line, network infrastructure units for the intelligent patrol system along the railway line, on-site edge intelligent early warning devices and traffic control units, and IoT video sensing infrastructure units. This invention aims to deploy edge computers to continuously analyze 24-hour video streams from surveillance cameras at key locations along the railway line, process data in real-time, reduce latency, promptly identify abnormal events, take temporary emergency measures as quickly as possible, and rapidly report abnormal events, effectively shortening response time, significantly improving the efficiency of handling abnormal events in railway transportation, enhancing the accuracy of emergency measures, and ensuring railway line safety.

A method for autonomously detecting high-pressure gas path leaks in a propulsion system over a long lifespan is presented. This method solves the problem of satellites autonomously determining whether high-pressure gas path leaks based on their own on-orbit operating conditions in real time. It is applicable to the autonomous fault diagnosis of high-pressure gas path leaks in bi-component propulsion systems during long-term on-orbit operation. This invention calculates propulsion consumption in real time using the BK method, and then calculates the amount of compressed gas entering the storage tank through the high-pressure gas path system to obtain the remaining compressed gas pressure. If the pressure is significantly lower than the calculated value, a leak is detected in the high-pressure gas path system, thus achieving real-time monitoring of high-pressure gas path system leaks. This method requires minimal computation and resources, is highly operable, and only needs to utilize current satellite telemetry data. Through the calculation method for autonomously detecting high-pressure gas path leaks in the propulsion system, it achieves effective detection of gas path leaks over a long lifespan, saving significant manpower and resources for periodically checking for high-pressure gas path leaks.

The invention discloses a flexible manufacturing-based DPA component matching method, which comprises the following steps of: establishing a DPA component requirement catalog, establishing a management database, and creating catalog entries for each component needing DPA detection; the method comprises the following steps: establishing DPA components, and creating a corresponding DPA component for each basic component needing to execute DPA detection in enterprise product bill of material structure management; the method comprises the following steps: establishing a corresponding relation between a DPA component requirement directory and a component, establishing a mapping relation between a DPA requirement directory and a DPA component, triggering to generate or call a corresponding DPA component demand according to the mapping relation, and realizing automatic conversion from a detection requirement to a specific execution material; and establishing a matched operation system, and integrating the system into a manufacturing execution system or a material demand planning module of an enterprise resource plan. According to the method, automatic identification of DPA detection requirements, intelligent matching of detection materials and accurate accounting of related cost can be realized.

The application discloses a cross-platform operation and maintenance replay scene intelligent identification method and a cross-platform operation and maintenance replay method. The identification method comprises the following steps: collecting operation and maintenance associated data from different platforms in real time, screening target associated feature data from the operation and maintenance associated data after preprocessing, determining time sequence features of the target associated feature data, and creating new features representing potential structures of the data; extracting key information from all the target associated feature data and the new features; extracting multi-scale features from the key information, performing feature fusion on the multi-scale features, and obtaining a plurality of composite features; screening a composite feature with the most independent features related to an identification target operation and maintenance scene from the plurality of composite features, and marking the composite feature as a target feature; and inputting the target feature into a target scene intelligent identification model to obtain a replay scene identification result. The method can automatically, efficiently and accurately identify an operation and maintenance operation scene that can be repeatedly executed between different operating systems and platforms.

The application discloses a cyanide-containing slag tailing pond groundwater environment risk early warning system, a groundwater monitoring well subsystem comprises a plurality of groundwater monitoring wells; a timing sampling control subsystem is used for controlling the pumping time, flow and frequency of a water pump in each groundwater monitoring well; a color reaction subsystem comprises a color developing device and is used for monitoring the color developing reaction of the groundwater sample; a color sensing subsystem comprises a light source and a color sensor, the light source is irradiated towards the color developing device, and the color sensor is used for collecting the emergent light signal of the color developing device after the color developing reaction; a central control platform comprises an early warning subsystem and an emergency disposal response subsystem, the early warning subsystem receives the color sensor signal and divides the risk grade according to the obtained signal; the emergency disposal response subsystem executes corresponding detection and repair responses according to the risk grade made by the early warning subsystem; the application realizes the rapid detection of the cyanide content in the groundwater around the cyanide-containing slag tailing pond and the feedback and early warning of the environmental pollution risk grade.

The utility model provides a kind of double DC plug-in connection line with buffer protection and concentricity limit, including plug-in male head, plug-in female head and wiring, the plug-in male head has copper needle with one side wiring electrically conductive, the plug-in female head has with copper needle cooperation and with the other side wiring conduction slot, it is characterized in that, the plug-in male head and plug-in female head all include: hard inner core, by one injection molding;Soft shell, by secondary injection molding in hard inner core outside;Wherein, the hard inner core and wiring and copper needle or wiring and slot are integrally formed.The utility model forms the double-layer structure of different internal and external hardness with twice injection molding, ensure structure rigidity and copper needle concentricity by hard inner core, and provide buffer protection, comfortable touch and convenient assembly by soft shell, rigidly combined to improve product comprehensive performance.

The invention discloses a xanthene nitroreductase-responsive fluorescent dye compound as well as a preparation method and application thereof, and belongs to the technical field of xanthene derivatives. The fluorescent dye compound can be used for quickly and specifically recognizing overexpressed nitroreductase in tumor cells; after the fluorescent probe acts with nitroreductase, the fluorescence intensity of the fluorescent probe at 718 nm is obviously enhanced, and the fluorescent probe has excellent targeting capability on mitochondria; meanwhile, under the excitation of illumination with the specific wavelength of 660 nm, an acting product of the fluorescent dye compound and nitroreductase can efficiently generate reactive oxygen species (ROS), and then the effect of specifically killing tumor cells is achieved. The xanthene nitroreductase response type fluorescent dye compound provided by the invention can achieve the goal of integration of diagnosis and treatment of solid tumors, and has important clinical application value.

The invention discloses a battery screening method, electronic equipment and a storage medium. The battery screening method comprises the following steps: acquiring a plurality of test voltages of a plurality of to-be-tested batteries in a formation process; for any to-be-tested battery, determining a voltage deviation between each test voltage of the to-be-tested battery and a plurality of test voltages of other to-be-tested batteries based on the plurality of test voltages of the to-be-tested battery and the plurality of test voltages of the other to-be-tested batteries; and based on the voltage deviation corresponding to each test voltage of the plurality of to-be-tested batteries, screening a target battery from the plurality of to-be-tested batteries. The accuracy of battery screening can be improved.

The application is suitable for the field of network communication technology, and provides a network congestion processing method and device, a terminal, a medium and a program product. The method comprises the following steps: acquiring a round-trip time sequence of a target network transmission link; performing differential processing on the round-trip time data at adjacent time instants in the round-trip time sequence to obtain a plurality of high-frequency components in the round-trip time sequence; updating the round-trip time data at even time instants in the round-trip time sequence according to the shift results of the plurality of high-frequency components to obtain a plurality of low-frequency components in the round-trip time sequence; identifying the network state of the target network transmission link according to the plurality of high-frequency components and the plurality of low-frequency components; and performing a first window reduction operation on the congestion window of the target network transmission link in the case that the network state is a network congestion state. The method can quickly and accurately distinguish the network jitter and congestion problems in a network environment with high bit error rate and high jitter, thereby improving the data transmission efficiency.

The invention discloses a solar electronic ear tag with a wireless light-emitting control function for sheep, and relates to the technical field of livestock breeding management. The solar electronic ear tag mainly comprises a sealed shell, an energy supply unit, a low-power-consumption main control unit, a wireless communication module and a plurality of three-color LED lamps, wherein the energy supply unit is composed of a solar cell panel and an energy storage element, and the wireless communication module integrates near field communication. The problems that in free-range sheep flock management, individual positioning is difficult, the flock sorting efficiency is low, and a traditional electronic ear tag can only search sheep at a short distance are solved. According to the invention, the LED lamp is controlled to emit light by receiving an instruction of the handheld terminal or the cloud platform, so that rapid visual positioning and batch grouping of sheep are realized; long-term stable operation is guaranteed through solar power supply and intelligent energy management, and the sheep flock management efficiency and reliability are improved.

The invention discloses a vehicle fault-tolerant control method under the abnormal condition of a multivariable measurement sensor, and belongs to the crossing field of electric digital data processing and intelligent driving vehicle control technologies. The method comprises the following steps: firstly, based on spatial-temporal correlation and physical consistency constraints of multi-source sensor data, carrying out redundancy modeling and credibility evaluation on a key state of a vehicle; then, when it is detected that the sensor is abnormal, real-time compensation and correction of failure observation are achieved through a state reconstruction model driven by redundant data; and further combining a rapid fault identification and virtual sensor switching mechanism to construct a fault-tolerant control strategy for the minimum function demand of the vehicle so as to ensure that the vehicle can still maintain basic driving and safety control capability under the condition that the functions of part of sensors are damaged. According to the invention, the real-time performance of the system is ensured, the safety and robustness of the intelligent driving vehicle in a complex environment and an abnormal condition are obviously improved, and the method is suitable for a multi-sensor fusion intelligent vehicle control system.

The utility model discloses terminal equipment of a DHR system based on radio frequency identification, which comprises an electronic tag provided with an antenna and a first inductor, and the antenna and the first inductor are connected to form a first induction loop; wherein a first capacitor is also arranged in the first induction loop; the reader-writer is in signal connection with the antenna; the terminal machine is in signal connection with the reader-writer, and the output end of the reader-writer is in signal connection with the input end of the terminal machine; the terminal machine is also provided with a first communication module; and the display device is in signal connection with the first communication module. According to the utility model, through a radio frequency reading technology, the device can rapidly identify information of employees or articles and upload the information to a cloud system in real time. According to the rapid and automatic information processing mode, the manual input requirement and the related error probability are greatly reduced, and the data processing efficiency and accuracy are improved.

This application relates to the field of relay protection technology, and in particular to a method for identifying inrush current in large-scale wind farm transmission transformers based on transient energy difference and its application. The method utilizes S-transform to construct the transient energy on both sides of the transformer and calculates the transient energy difference between the two sides as a fault criterion. If the difference is less than or equal to a preset threshold, an inrush current is determined to have occurred. The aim is to solve the problem of how to identify inrush current phenomena in transmission transformers of large-scale wind farms.

The invention discloses a waterworks intelligent dosing optimization system and method based on data driving, and belongs to the technical field of water treatment, and the system comprises a historical data intelligent clustering module which obtains and preprocesses historical operation data, employs a minimum distance clustering algorithm to automatically generate a clustering center representing a typical working condition, and sends the clustering center to a cloud server; calculating a corresponding expert recommended dosage, and constructing an expert experience knowledge base; the real-time parameter dynamic matching module is used for acquiring real-time operation parameters, performing window processing, performing Euclidean distance matching on the real-time operation parameters and a clustering center in a knowledge base, and finding out a reference dosage corresponding to the most similar working condition; and the dosage optimization decision module is used for performing feedback correction on the reference dosage according to the comparison relationship between the real-time effluent quality and the standard value, and generating a final dosage instruction under the constraint of the minimum dosage. According to the invention, accurate and dynamic control of the dosage is realized, and the medicament consumption is obviously reduced on the premise of ensuring the stability of the effluent quality.

This invention discloses a method and system for screening high-performance layered nitride thermoelectric materials, comprising: obtaining a series of crystal structures of initial layered nitrides; performing magnetic tests on the materials using first-principles calculations to select non-magnetic materials; optimizing the structure of non-magnetic materials, and after calculation convergence, performing static calculations and electronic band structure calculations to select materials with a band gap range of 0.1~3 eV and high band structure degeneracy; calculating the partial charge density of the materials to determine whether there is a two-dimensional electron gas, i.e., alternating conductive and insulating layers; determining stability by performing phonon spectrum and molecular dynamics simulations on the materials to select materials with no imaginary frequencies in the phonon spectrum and stable dynamics; calculating the thermal transport properties of the materials, obtaining the lattice thermal conductivity and Green'sson parameters, and searching for materials with strong anharmonicity; and finally performing electrical transport calculations to obtain the ZT value of the materials.

The three-in-one plastic frame forklift with the weighing function comprises a forklift body, a lifting motor is arranged on the inner side of the forklift body, a display screen is installed at the rear end of the forklift body, a door frame is slidably connected to the front end of the forklift body, and a pallet fork is slidably connected to the front end of the door frame. The inner side of the pallet fork is provided with a gravity sensor, the upper end of the pallet fork is provided with a moving mechanism for driving the detection part, the clamping part and the protection part to move, and the outer side of the moving mechanism is provided with a detection mechanism for detecting fruits and vegetables in the plastic frame. A clamping mechanism for clamping and fixing a plastic frame is installed above the detection mechanism on the outer side of the moving mechanism, and a protection mechanism for protecting the top of the plastic frame is installed above the clamping mechanism on the outer side of the moving mechanism. And multi-scene turnover requirements are met.

The application provides an electronic chart system, method and equipment with water depth change prediction capability, relates to the technical field of marine electronic information technology and marine geographic information, and the system comprises a data acquisition module, a water depth change analysis and prediction module and a risk visualization module. The application superimposes and displays predictive water depth risk information in a standard ECDIS interface through the fusion of official electronic chart data and a dynamic water depth model, so that the existing operation process of the driver can be changed, and enhanced navigation support reflecting the recent seabed change trend can be provided in the case that the chart updating cycle is long.

The invention belongs to the technical field of transformer fault detection, and discloses a transformer fault diagnosis method and related device.The transformer fault diagnosis method comprises the steps that primary side power data and box surface vibration data of a to-be-diagnosed transformer are collected, and primary side data and vibration data are obtained; comparing the primary side data with a preset power data threshold value, and judging whether the primary side data is abnormal or not; if the abnormity judgment result of the primary side data is abnormal, outputting and obtaining an electrical operation state fault diagnosis result of the to-be-diagnosed transformer; if the abnormity judgment result of the primary side data is normal, performing feature extraction on the vibration data to obtain vibration feature data; inputting the vibration characteristic data into a pre-trained support vector machine model for fault diagnosis, and outputting a mechanical health state fault diagnosis result of the to-be-diagnosed transformer; according to the invention, through multi-dimensional data acquisition, a multi-level diagnosis process and an advanced data processing algorithm, accurate and rapid identification of the transformer fault is realized.

This utility model discloses a library lending cart, including a frame and a cart bed fixedly connected inside the frame. A transmission rod is movably connected to the inside of the cart bed via bearings. A support plate is fixedly connected to the surface of the transmission rod, and a connector is fixedly connected to the top of the support plate. Books are inserted into the inner side of the connector. The support plate can tilt and swing the connector around the transmission rod as an axis. A transmission structure is provided on the left side of the frame, which can control the rotation of a shaft. The transmission structure includes a pedal movably connected to the left side of the frame via a pin. This utility model avoids page compression and bending caused by traditional stacking by using a vertical connector to insert books, reducing the damage rate. The tilting and swinging design arranges books in a stepped pattern, with exposed spine labels, facilitating quick identification of type and quantity by administrators. Furthermore, the linkage mechanism between the transmission rod and the support plate allows for flexible switching between book storage and display states.

The application discloses a tire pressure anomaly early warning method and device and a storage medium, and relates to the technical field of vehicles.The application comprises the following steps: correcting a tire pressure static threshold based on the current speed, tire temperature and load state of a vehicle to obtain a tire pressure dynamic threshold; determining a tire pressure jump rate based on the current tire pressure of the vehicle; determining a tire pressure risk level based on the tire pressure dynamic threshold, the current tire pressure and the tire pressure jump rate; and outputting early warning prompt information and / or executing a vehicle control action based on the tire pressure risk level.The application dynamically adjusts the tire pressure threshold according to the current speed, tire temperature and load state, thereby improving the early warning sensitivity in high-speed, heavy-load and other scenarios; the tire pressure risk is identified by combining the tire pressure dynamic threshold and the tire pressure jump rate, so as to distinguish between slow tire pressure leakage and high-speed tire burst instantaneous jump, realize rapid identification in a high-risk scenario, and improve the accuracy of tire pressure early warning.

The utility model discloses an LED display screen monitoring system, and relates to the technical field of LED display screens. The LED display screen monitoring system comprises an upper computer, a sending card, a plurality of Hub cards and a plurality of lamp panels, wherein the upper computer is connected with the sending card through a gigabit network port; the sending card is used for broadcasting a monitoring instruction to the outside; the Hub card comprises a first FPGA module, an MCU module, a gigabit phy module and an external interface module, the first FPGA module is used for collecting sensor data of a connected lamp panel, the MCU module is used for communicating with the first FPGA module, the gigabit phy module is used for communicating with the sending card, and the first FPGA module communicates with the lamp panel through the external interface module; the lamp panels are provided with sensing modules, and the sensing modules are used for monitoring sensor data of the corresponding lamp panels and sending the sensor data to the corresponding Hub cards. The LED display screen monitoring system provided by the utility model has the advantages of high monitoring efficiency, accuracy and rapidness.

The utility model relates to a laser lamp adjusting auxiliary device based on a half-reflecting mirror combination, which comprises an upper fixing plate, a lower fixing plate, a supporting column, a half-reflecting mirror combination and a replaceable target surface, the upper fixing plate and the lower fixing plate are connected with each other through the supporting column, and the upper fixing plate and the lower fixing plate are horizontally arranged. The half-reflecting mirror combination comprises an upper half-reflecting mirror and a lower half-reflecting mirror; an upper mounting groove is formed in the middle of the upper fixing plate, a through hole is formed in the middle of the upper mounting groove, the upper half reflecting mirror is detachably mounted in the upper mounting groove, an upper lens leveling nut for supporting the upper half reflecting mirror is arranged at the bottom of the upper mounting groove, and the replaceable target surface can replace the upper half reflecting mirror to be mounted in the upper mounting groove; a lower installation groove is formed in the middle of the lower fixing plate, and the lower half reflecting mirror is detachably installed in the lower installation groove. Compared with the prior art, the laser lamp adjusting device has the advantages that the technical requirements of operators can be reduced, and the laser lamp adjusting reliability, precision and efficiency are improved.