62results about How to "Low real-time" patented technology

The invention provides an infrared image fused multi-camera vision-inertial odometer method, which comprises the following steps of: 1, matching a forward-looking camera and a rear-looking camera in a sensor layout, and balancing the perception capability and the computing power consumption of an environment by a matching scheme; constructing a visual residual error of the multi-camera system; 2, formulating a mode selection strategy, and determining to select a visible light mode or an infrared mode as a main operation mode in the operation process of the odometer; after the main mode is selected, the other mode plays an auxiliary role; 3, after modal selection is determined in the step 2, determining which information in the auxiliary modal is not redundant and can be used for auxiliary positioning, and determining the fusion weight of the auxiliary information; and 4, performing estimation on each state quantity based on a tight coupling speedometer, unifying constraints provided by observation of each sensor into an optimization problem, and constructing vision-inertia tight coupling information fusion. According to the method, visible light and infrared information are fully utilized, redundant observation is reduced, and the performance and robustness of the system are improved.

The invention provides a disc shearing machine and a shearing quality detection method. The disc shearing machine comprises a rack assembly, a driving assembly, a transmission assembly, an upper cutter head assembly, a lower cutter head assembly, an adjusting assembly and a detection assembly. The upper cutterhead assembly and the lower cutterhead assembly jointly carry out shearing operation on a plate to be machined; the adjusting assembly is used for adjusting the shearing depth of the upper cutter head assembly and the lower cutter head assembly on the to-be-machined plate; the detection assembly correspondingly controls the driving assembly, the transmission assembly and the adjusting assembly to work by detecting the thickness of a to-be-machined plate, the edge position of the to-be-machined plate, the abrasion degree of the upper cutter head assembly, the abrasion degree of the lower cutter head assembly and the shearing depth of the to-be-machined plate so as to shear the to-be-machined plate. Real-time monitoring of the shearing process of the to-be-machined plate and detection of the shearing quality are achieved, subsequent additional quality detection and / or reworking and other procedures are effectively reduced, and the shearing machining efficiency is improved.

The invention relates to the field of numerical control machining and computer-aided manufacturing software, and particularly discloses a honeycomb core six-axis ultrasonic cutting track digital control and interpolation optimization system which comprises a track preprocessing module, a parameterized spline interpolation module, a six-axis linkage inverse solution module, a dynamic feed-forward compensation module, an ultrasonic energy adaptive control module and a multi-source information fusion and decision module. By the adoption of the technical scheme, smooth and efficient interpolation of a track, dynamic feed-forward compensation of motion errors and self-adaptive adjustment of cutting energy can be achieved, and therefore the machining precision, the surface quality and the system stability are improved. According to the invention, ultrasonic energy control is originally incorporated into an overall trajectory control closed loop, and real-time accurate regulation and control of cutting energy are realized through the ultrasonic energy adaptive control module. The module is based on force, amplitude, temperature and other multi-sensor information, adopts fuzzy reasoning to intelligently decide output power, and ensures that cutting energy is constant and optimal under different processing conditions.

The invention is suitable for the field of internet order management, and discloses an order management method, system and device based on a delay queue and a medium, the method comprises the following steps: generating a delay message through a merchant platform, storing the delay message in the delay queue, automatically monitoring a payment period, and constructing an event address book; interface addresses and security credentials of a plurality of platforms are integrated, and rapid retrieval and automatic configuration of information are realized; when an order needs to be processed, the system captures necessary information from an address book in time, automatically notifies a merchant and calls a payment platform to confirm a payment state, and once payment is confirmed, a delivery process is triggered, and a logistics platform is quickly connected to generate a waybill; according to the scheme, the configuration and maintenance process is simplified, the response speed and maintainability of the system are remarkably improved, and a more efficient and flexible solution is provided for Internet order management.

The invention discloses an underwater target detection method based on differential attention. The method comprises the following steps: acquiring an underwater image to be detected; based on the underwater image data set, constructing a lightweight underwater target detection network model based on a differential attention mechanism; constructing a joint loss function, and performing end-to-end training on the lightweight underwater target detection network model to obtain a trained lightweight underwater target detection network model; performing mathematical equivalence fusion on the lightweight underwater target detection network model to generate a lightweight reasoning model; and inputting the obtained underwater image to be detected into the lightweight reasoning model to realize target detection of the underwater image. According to the method, a differential attention feature interaction mechanism is introduced, common-mode noise is stripped through differential calculation, and the detection precision and real-time performance of an underwater fuzzy scene and a tiny target are remarkably improved in combination with a feature pyramid network integrating dynamic scale perception and semantic gating.

The invention relates to the technical field of new energy station maintenance, in particular to a new energy station maintenance system and method based on an intelligent sensor. A data processing module; the fault identification module is used for outputting sensor abnormal data, acquiring sensor state information, adjusting each sensor identification result according to the sensor state information, constructing a fault position identification model, and outputting fault equipment positioning according to the sensor abnormal data; and the fault maintenance module is used for constructing an equipment maintenance model, acquiring equipment maintenance information, updating a preset cumulative distance database according to the error output times of each piece of equipment maintenance information, and outputting equipment maintenance alarm information according to the updating times of the preset cumulative distance database. And the control module is also used for adjusting the equipment maintenance alarm information output sequence of each equipment according to the equipment maintenance alarm information output times. According to the invention, the troubleshooting time is reduced, and the maintenance efficiency is improved.

The application discloses a kind of multi-obstacle prediction navigation obstacle avoidance methods based on single-line laser radar, first, the obstacle point cloud data detected by single-line laser radar is collected, the data is filtered and classified, and the obstacle point cloud array is obtained;Shape fitting is carried out on the classified obstacle point cloud array to realize the detection of obstacles;Data correlation is carried out on the obstacles detected in the adjacent two frames of obstacle point cloud arrays, the current motion state of each obstacle is obtained, and its historical trajectory is recorded to realize the tracking of obstacles;The trajectories of multiple obstacles in the future are predicted, the results of global path planner are read and segmented into multiple local paths;In each local path, map-free end-to-end strategy navigation is realized;The method of the application is applied to floor cleaning robots, service robots and AGVs and other mobile robots, improves the safety of robot obstacle avoidance, and has the characteristics of real-time and low cost.

This invention relates to the field of machining and intelligent control technology, and discloses a multi-process collaborative control system for machining equipment based on multi-source data. The system includes a spatial modeling module, a multi-source sensing and feature mapping subsystem, a reference calibration module, and a collaborative execution module. The spatial modeling module constructs a hierarchical partitioned spatial mesh model enveloping the workpiece and drives dynamic node growth. The multi-source sensing and feature mapping subsystem synchronously acquires operating status data, converts it into spatial attribute values, and stores them in voxel units. After the workpiece is transferred to a new process, the reference calibration module constructs a cross-process coordinate transformation matrix and performs pose transformation on the spatial attribute values ​​stored in the model. The collaborative execution module generates machining compensation increments based on the transformed spatial attribute values ​​and injects them into the CNC system. This invention solves the problem of physical feature discontinuity in multi-process flow, realizing spatial mapping and adaptive compensation from previous physical states to the current process.

This invention relates to an outdoor hydrogen flame detection system, method, storage medium, and electronic device, comprising: a multi-parameter sensing module for dynamically monitoring outdoor scene data of a hydrogen station; a data acquisition module for acquiring outdoor scene data from the multi-parameter sensing module; a core processing module for flame identification and location based on the outdoor scene data, overlaying fire information onto a color image to obtain a superimposed image, and outputting alarm signals and fire emergency response strategies based on the severity and development trend of the fire; and an application output module for visualizing the superimposed image output by the core processing module, triggering an alarm based on the alarm signal, and outputting linkage control signals based on the fire emergency response strategy. This invention solves the problems of high false alarm rate, high false alarm rate, and poor real-time performance in existing outdoor fire detection technologies for hydrogen stations, achieving rapid and accurate detection and early warning of outdoor fires at hydrogen stations, and exhibiting significant innovations in fusion algorithms and adaptability to complex environments.

The invention discloses an elevator track detection system based on a projection grating. The system mainly comprises a curved rail support, a grating projector, a camera, a photosensitive sensor, an LED lamp strip and a fragrant citrus pie processor. The curved rail support is installed on the top of an elevator car and right faces a rail. The grating projector is located in the center of the track support, and cameras are arranged on the two sides to capture track images. And the photosensitive sensor and the LED lamp strip provide constant illumination, so that the imaging quality and the three-dimensional scanning precision are ensured. The orange pie processor is located on the rear side of the curved track support and is responsible for collecting images shot by the camera and information of the attitude sensor and conducting data transmission with an upper computer through a UDP communication protocol. The system can quickly and accurately detect the flatness of the elevator track, predict track faults, perform real-time early warning and perform remote communication. The device is suitable for detection of various elevator tracks and has a wide application prospect.

The application discloses a kind of MIMO mobile phone antenna adaptive tuning methods based on reinforcement learning, comprising the following steps: acquisition operating parameter;Operating parameter set is fused and encoded, and the characteristic vector containing historical state and time series information is generated;According to operating parameter set, the action range boundary is calculated, and the out-of-bound detection rule and rollback trigger condition are generated;Characteristic vector and action range boundary are input into improved diffusion strategy generation model, and tuning action is generated using hierarchical policy network;According to the out-of-bound detection rule, detection is carried out and rollback is triggered when out-of-bound, to obtain stable execution state;Stability index is calculated and diversity-stability collaborative reward function is constructed, and hierarchical policy network is updated;Scene label is generated, key-value pair index is formed and stored, and lightweight strategy is constructed and solidified through network distillation method.The application realizes the adaptive tuning of MIMO mobile phone antenna.

The present application proposes an implementation method for building a heterogeneous data warehouse, comprising the following steps: step 1: identifying the types of heterogeneous data sources to obtain data asset import dimension descriptions and measurement system descriptions through data model mapping; step 2: based on the set heterogeneous data integration strategy library, according to the data asset import dimension descriptions and measurement system descriptions, converting the data business transaction dynamic process into a dynamic fact table; step 3: based on the constructed heterogeneous data ETL template, generating parallel incremental ETL tasks according to the dynamic fact table; step 4: according to the parallel incremental ETL tasks, accessing the heterogeneous data sources through the constructed heterogeneous data access interface to obtain the heterogeneous data assets to be processed for processing, so as to build a heterogeneous data warehouse.

This invention provides a method and system for compressing power messages, relating to the field of power system control technology. The method includes: acquiring power messages via a first FPGA; timestamping the acquired power messages; caching the timestamped messages in a first shared memory; extracting messages from the first shared memory; parsing the messages according to their type and classifying and storing them in a second shared memory; extracting messages from the second shared memory by control block using a second FPGA; compressing the compressed packages corresponding to the control blocks; storing the compressed packages in a third shared memory; packaging and secondary compression according to a set time period; generating a total compressed package for that time period; and storing it on an SSD for dual-disk storage. This invention effectively reduces the storage space requirements for historical messages, improves the storage time of historical messages, and solves the problem of frequent failures in storing historical messages for post-event analysis of power systems.

The application discloses a dynamic human body falling detection method based on future human body time sequence posture prediction, and the method comprises the following steps: automatically calibrating the ground in a monitoring scene to obtain ground plane parameters; detecting, cropping and tracking the human body target in a video image to obtain a human body image sequence; performing single-person 3D posture estimation on the human body image sequence frame by frame to obtain a historical 3D skeleton sequence; constructing a skeleton motion flow feature according to the historical 3D skeleton sequence, and extracting a current human body state feature by using a time sequence feature coding model; predicting a future H-frame human body 3D skeleton sequence based on the current human body state feature; determining whether the human body has a risk of falling soon according to the included angle between the human body trunk vector in the future 3D skeleton and the ground plane normal vector, and combining the distance information of the skeleton key point to the ground plane; and outputting a warning signal when a preset condition is met, and the method is suitable for security monitoring, old-age care, public safety and the like.

The present invention proposes a multifunctional binocular laser detection system, which is arranged inside a laser detection instrument, and includes a controller and at least two laser sensors, an angle sensor and a power module connected to the controller; the laser sensor is used to measure the distance from the laser emission point to the projection point in space; the angle sensor is used to measure the angle between the light beams emitted by the two laser sensors; the power module is used to provide electrical energy to the controller, the laser sensor and the angle sensor; the controller is used to obtain the distance between any two projection points in space according to the distance from the two laser emission points to the projection point in space, and the angle between the light beams emitted by the two laser sensors. The present invention provides a detection system with low cost and high precision, which can conveniently measure the distance between any two points in space and integrate the verticality and the angle detection function of two adjacent surfaces.

The application provides a driver output current detection method, which comprises the following steps: recording data and calculating average value and waveform sinusoidal degree according to the above method after the system reaches steady state; if the difference between the calculation result of the measured driver output current and the reference data of the detection equipment is within a reasonable range, the test is qualified, otherwise the test is unqualified. The application adopts a phase-locked loop method to determine the current zero-crossing point, and adopts an equivalent approximate method to measure the harmonic distortion rate and compare the transient error of the reference waveform to judge the waveform sinusoidal degree, so that the calculation efficiency and accuracy are improved from the above aspects.

The invention relates to a process safety control device and method based on wall thickness online monitoring. The device comprises a plurality of sensors, a central control system, a linkage safety device and a power supply module. Each sensor is used for monitoring the change condition of the wall thickness of a flow pipeline in real time and transmitting wall thickness data to the central control system in real time through the Zigbee wireless communication module; the central control system is used for judging the erosion degree of the pipeline according to the received wall thickness change data, giving an alarm when the wall thickness of the pipeline is reduced to a preset danger threshold value, and meanwhile sending an interlocking signal to the linkage safety device. The linkage safety device closes a corresponding flow pipeline valve according to the received interlocking signal and automatically switches to a standby flow pipeline; the power supply module is used for supplying power. The method can be widely applied to the field of petroleum and natural gas exploration and development.

The invention provides a cross-border trusted trade collaboration system and method based on a block chain and related equipment. The system comprises a block chain data layer which realizes block chain cross-chain data exchange of sea transportation lading orders during cross-border trusted trade based on an intelligent contract of an alliance chain; and a sea transportation lading bill service application layer, the sea transportation lading bill service is accessed to the block chain data layer based on an adaptive framework, and the sea transportation lading bill is used in the sea transportation lading bill service application layer. According to the method, the authenticity verification requirement of the sea transportation electronic lading bill data is met through the Hash value interacted on the chain; by combining the alliance chain and the smart contract, the safety, efficiency and compliance of cross-border trade are improved.

The present invention provides a game system (1), comprising a server (10) and a client terminal (20). The server (10) comprises: a component for controlling the action of a non-player object and sending first NPC action information indicating the action content of the non-player object to the client terminal (20); a component for managing a first parameter value in association with the non-player object and each of a plurality of player objects; a component for setting a target object based on the first parameter value, the target object being a target for the non-player object to perform a predetermined action; and a component for sending a notification for permitting the control of the action of the non-player object to the client terminal (20) that controls the action of the player object set as the target object. The client terminal (20) comprises a component for controlling the action of the non-player object based on the notification.

The invention discloses an efficient rendering optimization system and method for mass GIS point data in an unmanned aerial vehicle ground control station, belongs to the technical field of geographic information processing of unmanned aerial vehicle ground control, and aims to load and render a large amount of GIS point data on the premise of not reducing data transmission quantity, and improve the rendering efficiency of the GIS point data under the condition that the data is frequently updated. The system only rerenders the GIS points needing to be updated, so that the consumption of computing resources is remarkably reduced, the performance burden caused by global redrawing is avoided, the quick response of a user interface is ensured, and the stable operation of the system in a high-load environment is ensured.

The embodiment of this specification provides a method and system for drawing an airport noise map, wherein the method includes: obtaining basic airport information; collecting airport automatic dependent surveillance-broadcast (ADS‑B) flight data through the Internet, and obtaining the airport's real track type and flight procedure based on the ADS‑B flight data; constructing an airport noise model based on the airport basic information and the real track type to obtain airport noise simulation data; and correcting the parameters of the airport noise model through an airport noise model verification method to draw an airport noise map. A low-cost and convenient airport noise map drawing method can be provided for the treatment of airport noise pollution.

The application belongs to the technical field of nonlinear system control, and discloses a method and system for introducing composite learning into nonlinear system output feedback adaptive control. The application directly reuses the existing K-filter in standard output feedback backstepping control to construct an extended prediction error, and does not need to establish an additional observer or a state estimation model (such as a series-parallel estimation model, a fuzzy observer, etc.) in parallel with the K-filter. This functional reuse design eliminates the calculation overhead of the additional dynamic system, reduces the storage requirement and real-time calculation burden of the controller, and significantly reduces the hardware implementation cost and system debugging complexity. Meanwhile, through the composite driving of the tracking error and the extended prediction error, the cumulative information is continuously introduced by using the historical memory of the regression quantity, so that the adaptive and self-learning ability of the control system is significantly enhanced, and the parameter estimation convergence and the system response performance are improved.

The application provides an event camera-based pulse neural network tracking method and system. Multi-time step event data and low-resolution grayscale images output by an event camera are acquired, and the event data are combined with time sequence and polarity to form a multi-channel event tensor; dynamic event features in the event tensor and static image features in the grayscale images are extracted respectively, and feature fusion is performed through channel splicing and convolution operation; the fused features are input into a super-resolution decoder, up-sampling of the images is realized through transposed convolution operation, and a high-resolution moving target image is generated; the high-resolution image is input into a pulse neural network feature extraction module based on LIF neurons, features of a target template and a search area are extracted, and a target position is determined through cross-correlation operation to realize tracking. The application can effectively improve the spatial resolution of the event camera output image and the target positioning accuracy, and realizes robust target tracking in a complex dynamic environment on a low-power edge device.

The invention relates to the technical field of industrial automation control. The invention relates to a visual algorithm and industrial control creation method, computer equipment and a medium, and the method comprises the steps: obtaining industrial equipment operation information, obtaining industrial equipment control information according to the industrial equipment operation information, and generating visual algorithm execution information according to the industrial equipment control information, the visual algorithm execution information is used for carrying out image processing and monitoring on the operation process of the industrial equipment, industrial equipment state feedback information is generated according to the visual algorithm execution instruction, and the industrial equipment state feedback information is used for feeding back and optimizing an industrial equipment control strategy in real time. The industrial equipment has the effect of improving the automation degree and the operation efficiency of the industrial equipment.

The present invention discloses a battery SOC estimation method, a battery management system and a computer-readable storage medium. The method comprises: obtaining the measured data of the battery, the measured data of the battery comprises: obtaining the measured data of the battery, the measured data of the battery comprises the measured current, the measured voltage, the measured SOC and the measured cumulative historical power; querying the correction data table according to the measured current and the measured voltage, obtaining the SOC upper limit correction data and the SOC lower limit correction data matching the measured current and the measured voltage; determining the SOC upper limit threshold and the SOC lower limit threshold according to the measured cumulative historical power, the SOC upper limit correction data and the SOC lower limit correction data; using the SOC upper limit threshold and the SOC lower limit threshold to correct the measured SOC and obtain the target SOC. The target SOC estimated by the battery SOC method has high accuracy and small error with the actual SOC of the battery, so that the SOC estimation can take into account the requirements of high accuracy, low resource requirements and high real-time performance.

The embodiment of the invention discloses a water conservancy flood prevention monitoring system based on a multi-dimensional information model. In one specific embodiment, the system comprises a water conservancy flood prevention monitoring cloud platform and a plurality of monitoring devices. According to the embodiment, the whole water network water level of the monitoring area is calculated through the water conservancy flood prevention monitoring platform to obtain the water network water level map, and it can be avoided that the water network water level error of important areas is large, and judgment of the important areas such as flood-prone areas is affected. According to the method, an information model containing multiple dimensions such as space, time and attributes is constructed. And a scientific basis is provided for river management, flood control and disaster reduction and water resource scheduling. The monitoring device ensures the low power consumption capability of the device; when the data is abnormal, the data is uploaded at a relatively high preset frequency, so that the real-time performance of data transmission is ensured; in order to ensure the reliability of water conservancy flood prevention monitoring, the water flow velocity, rainfall, water level and other data which are crucial to water flood monitoring are collected, and the real-time condition of the water network and the water flood can be mastered in time.

The application provides a wharf vehicle predicted driving time measurement method and device, and relates to the technical field of path planning, which comprises the following steps: in a road network constructed based on an Actor model, when a specified departure or arrival time is given, a road segment is deduced along a forward direction or a reverse direction from a path endpoint; a density of each road segment is obtained based on an entering / leaving time statistical distribution, a driving time statistical distribution is obtained by querying a historical record according to the density, after smoothing and normalization processing, the statistical distribution of a next road segment is deduced by combining and deducing through probability multiplication, and the iteration is performed until the other endpoint of the path, and the most possible time point is obtained from the final distribution and the total time is calculated. The application can improve the efficiency by using multi-thread parallel computing, the initial measurement accuracy is significantly improved, the subsequent scheduling adjustment is reduced, and the stability and efficiency of large-scale calculation are ensured.

The application relates to an asynchronous preloading frequency hopping method, system and device under limited hardware resources and belongs to the technical field of wireless communication. The method comprises the following steps: pre-generating a frequency hopping configuration set; loading initial configurations in the frequency hopping configuration set to a hardware configuration unit of a radio frequency chip, establishing and initializing a mapping relationship between the hardware configuration unit and the frequency hopping configuration; starting a hardware frequency hopping time sequence and an interrupt triggering mechanism; reading a current frequency hopping state when the frequency hopping time slot is interrupted, determining a current hardware configuration unit, and calculating a target frequency hopping configuration to be used after a predetermined number of hops in the future according to the current frequency hopping state; judging whether the current hardware configuration unit matches the target frequency hopping configuration based on the mapping relationship; if the current hardware configuration unit does not match the target frequency hopping configuration, triggering an asynchronous loading process, loading the target frequency hopping configuration to the current hardware configuration unit, and updating the mapping relationship. The application avoids the blocking of the interrupt real-time performance caused by the serial peripheral interface operation, and ensures the microsecond-level precision of the frequency hopping time sequence.

The invention discloses a timing synchronization system and method of a low-orbit satellite baseband, computer equipment and a medium, the timing synchronization system communicates with a digital signal processor and a baseband processing unit, and the timing synchronization system comprises a timer configured to receive timing configuration data sent by the digital signal processor, starting counting according to the timing configuration data so as to synchronize with the time of the digital signal processor; the instruction cache module receives and stores the timing instruction sets sent by the digital signal processor in sequence; the instruction analysis and execution module is connected with the instruction cache module and the timer, and is used for reading the timing instruction to be executed in the instruction cache module and timing data of the timer, analyzing instruction execution time of the timing instruction to be executed, and executing the timing instruction to be executed on time according to the timing data and the instruction execution time; therefore, data interaction between the digital signal processor and the baseband processing unit is completed. According to the invention, high precision, low power consumption and high real-time performance can be considered, and the flexibility of a timing system is improved.

The invention discloses an electronic balance record data transmission control method and system based on a cloud server, and relates to the technical field of electronic balance data transmission, and the control method comprises the following steps: S100, monitoring the power state of an electronic balance in real time, including the electric quantity of a battery and the connection state of an external power supply, by intelligently sensing the power state of the electronic balance and the current network environment, the frequency and power of data transmission are dynamically adjusted, the system can efficiently transmit data under the condition that the battery electric quantity is sufficient and the network environment is good, and when the battery electric quantity is low or the network environment is poor, the data transmission efficiency is improved. The system can automatically reduce the frequency and power of data transmission, thereby effectively reducing unnecessary energy consumption, prolonging the service life of a battery, and reducing the overall operation cost.