93results about How to "Timely response" patented technology

This invention relates to an IMU-assisted online GNSS anomaly detection and reporting method and apparatus. The method involves acquiring GNSS observation data and IMU measurement data and aligning them in time; generating a predicted motion state of the receiver at the current observation epoch based on the IMU measurement data; calculating the predicted GNSS observation value of at least one satellite at the current observation epoch based on the predicted motion state and satellite ephemeris information; constructing a residual sequence based on the predicted GNSS observation value and the corresponding GNSS observation value in the GNSS observation data, performing sliding time window statistics, and determining anomalies based on the statistical results; when an anomaly is determined, generating a time index and a spatial index corresponding to the anomaly, forming a spatial-level interference event, and reporting it. This invention effectively reduces the false alarm rate and missed alarm rate in scenarios involving obstruction, multipath interference, and other interference, exhibits higher sensitivity to observation anomalies caused by moving interference, effectively lowers the implementation threshold at the receiving end, and possesses high engineering application value.

This application discloses a method, device, and medium for dynamic control of uplink power in a repeater, belonging to the field of communications. The method includes: determining the upper limit of the uplink transmit power of the repeater based on the downlink path loss between the repeater and the host base station, the uplink path loss, and the uplink reference sensitivity of the host base station; if the current uplink transmit power is greater than or equal to the upper limit, the current uplink transmit power is reduced by a first preset step size; if the current uplink transmit power is less than the upper limit, the current uplink transmit power is increased by a second preset step size; determining whether this power adjustment triggers a power increase in the user equipment; if so, the current uplink transmit power is increased by the second preset step size; if the current uplink transmit power meets a preset stability condition, the loop process is temporarily exited; otherwise, the main loop is returned to execution until the current uplink transmit power stabilizes. This method can achieve a balance between network-side interference suppression and user-side experience assurance.

The invention discloses a scene-driven multi-mode coordinated regulation system for external counterpulsation treatment. The scene-driven multi-mode coordinated regulation system comprises a central processing unit, the signal acquisition module is used for acquiring physiological signals of a patient in real time; the temperature and humidity adjusting module monitors the temperature and humidity of the environment where the patient is located in real time through a temperature and humidity sensor; the illumination intensity adjusting module adopts a mode of combining natural light and artificial illumination, and uses a soft light source to reduce light pollution; the air quality adjusting module is used for reducing the concentration of pathogens in air through a fresh air system, exhaust equipment and an air purification device; the sound adjusting module is provided with an audio player; the signal processing module is used for processing data of the signal acquisition module and other modules; the system has the advantages that timely and accurate response is made to environmental changes, and environmental parameters are automatically adjusted according to monitored physiological signals of a patient, so that the optimal comfort level is achieved.

The utility model relates to traffic detection technical field in intelligent traffic system especially, more particularly to a kind of traffic detection device based on millimeter wave radar, comprising: the picture acquisition mechanism of being set to device front end;First trigger radar and picture acquisition mechanism are sequentially arranged, detect vehicle entry condition;Second trigger radar and first trigger radar are sequentially arranged, confirm vehicle existence state;Transaction identification antenna is set after second trigger radar;Third trigger radar and transaction identification antenna are installed in same position, identify vehicle transaction success and send signal;Flow radar and third trigger radar are sequentially arranged;Gate lever and third trigger radar are communicatively connected, perform lifting action;Anti-smashing radar and gate lever are set in same position, detect vehicle after passing through and carry out relay attraction to complete gate lever pole falling action;Display is set in whole device end. The utility model greatly reduces installation complexity and long-term maintenance cost, and improves the comprehensive detection capability of the system.

The invention discloses a wireless state synchronization management platform and method for a power supply module and a display module, and relates to the technical field of wireless communication and state synchronization management. The method is suitable for application environments such as intelligent warehousing and automatic guided vehicle (AGV) scheduling which need to supply power to multiple terminal devices and receive state information at the same time. Semantic level classification identification, dynamic priority ranking and a self-adaptive scheduling optimization mechanism are introduced into a reverse communication channel; a basic frame structure of a multi-display module is defined and analyzed; the problem of signal conflict when a plurality of display modules transmit state signals on the same wireless channel is solved, a priority identifier is introduced by enhancing a frame structure, and it is ensured that a power module can preferentially process an emergency charging request and a fault alarm signal in a multi-module environment. And the processing efficiency of high-priority signals is improved through comprehensive weight calculation, so that the performance and reliability of the system in multi-module concurrent communication are improved.

The embodiment of the invention provides a rock dislocation or fracture damage risk early warning method and system, and belongs to the technical field of geotechnical engineering. The method comprises the following steps: acquiring acoustic emission parameter data used for representing rock acoustic emission behaviors, and inputting the acoustic emission parameter data into an acoustic emission parameter identification model to generate probability data corresponding to each preset acoustic emission type; determining an identification type of the acoustic emission parameter data based on the probability data of each preset acoustic emission type, and extracting a target acoustic emission parameter data sequence corresponding to the identification type; based on the target acoustic emission parameter data sequence, calculating a risk determination parameter used for representing a rock dislocation or fracture failure trend, and comparing the risk determination parameter with a preset risk criterion to generate a risk determination result; and outputting rock dislocation or fracture damage risk early warning information based on a risk judgment result. According to the scheme of the invention, the method achieves the distinguishing and judgment of the dislocation and fracture stages of the rock mass, and generates the early warning output of the corresponding damage risk.

The application discloses a cold backup control method and controller of a processing core and an integrated circuit, relates to the technical field of processors, and comprises the following steps: in a current evaluation period, the cold backup controller can collect running state information of a target processing core corresponding to the cold backup controller, and adopts a preset scoring rule to evaluate the running state information, so that a target score of the target processing core in the current evaluation period is obtained. In a continuous preset number of periods, when the scores of the target processing core are all within a preset score threshold range, an interruption flag of the target processing core is read from an interruption controller, a task allocation flag of the target processing core is read from a task scheduler, and then whether the target processing core meets a cold backup condition is determined according to the interruption flag and the task allocation flag; if yes, a cold backup switching operation is performed on the target processing core. In this way, the response is timely, and the cold backup controller is only responsible for the processing core corresponding to the cold backup controller, so that the control granularity is relatively fine.

The present invention provides a dialogue response creator for generating a dialogue response based on dialogue characteristics and relationships using a language model, the dialogue response creator storing one language model, response data generated by the language model reflecting dialogue characteristics of a speaker who has a dialogue with a user and a past dialogue made with the user, the data represents a response that the user can communicate to the speaker; and a processor that inputs, as first input data, real-time dialogue data including an ongoing real-time dialogue statement between the dialogue person and the user into the language model, and outputs, as first output data, the response data from the language model.

The application provides a natural language-based public opinion tracking method and device, obtains original Internet public opinions including multiple public opinion samples according to a target theme; obtains a label list of each public opinion sample based on a label library corresponding to the target theme and a title and content of each public opinion sample; classifies the label list of each public opinion sample based on the label library and a keyword corresponding to the target theme, and obtains first-class samples associated with the target theme; labels corresponding key information labels for each first-class sample based on the label library, and obtains an event occurrence time of each first-class sample; aggregates all first-class samples into one or more public opinion sets according to the key information labels and the event occurrence time, and tracks public opinions of each public opinion set. The application can alleviate the problems of key information loss and complex processing in the existing public opinion processing mode.

The invention discloses a cross-platform link library communication method and device based on an optimized WebAPI, equipment and a medium, and relates to the technical field of computer communication, and a client application program initiates a data request by calling a cross-platform link library. And the cross-platform link library serializes the parameters of the data request and transmits the serialized parameters to the data interface layer. And the data interface layer encapsulates the data request after parameter serialization into a binary request through the gRPC client and the lightweight SignalR client according to an application scene, and transmits the binary request to the intelligent integrated data platform. And the intelligent integrated data platform concurrently accesses a plurality of databases of the storage layer according to the binary request, encapsulates an obtained result into binary response data, and returns the binary response data to the data interface layer through a communication protocol. And the data interface layer deserializes the binary response data into response data and transmits the response data to a client application program, so that efficient interface communication with low delay, high throughput and less resource occupation is realized in a multi-language environment.

This invention belongs to the field of drilling stability analysis technology, specifically a wellbore stability evaluation method, electronic equipment, and media. This method establishes a wellbore stability index for the first time, using the average of the wellbore stability indices from multiple wellbore stability sample wells as a threshold. The closer the target well's wellbore stability index is to the threshold, the better the wellbore stability; conversely, the further away, the worse the wellbore stability. This invention's method can evaluate wellbore stability while drilling with high accuracy. The electronic equipment and media based on this invention broaden its application scenarios, making it suitable for evaluating the wellbore stability of horizontal wells in sandstone and mudstone formations.

The invention discloses a biological specimen interactive keyboard system of modular hardware and a working method thereof, the system is composed of three modules: a specimen integrated keyboard module adopts a special keycap to package an entity biological specimen, and the specimen is used as a physical interface capable of triggering interaction; the multi-modal image acquisition module is fixed above the keyboard through a mechanical bracket, integrates visible light and infrared imaging units, and accurately acquires the characteristics of a specimen; the local processing and interaction control module serves as an off-line intelligent center, a local resource library and a special processing circuit are arranged in the local processing and interaction control module, feature matching and information output are achieved, all the modules cooperatively work through physical connection (such as a USB interface and an HDMI interface), and an independent hardware assembly line is formed. The system has the advantages of high integration, off-line operation, natural and smooth interaction and high reliability, and is suitable for teaching, scientific research, exhibition and other scenes.

This invention relates to the field of microservice architecture technology and discloses a method, apparatus, device, and medium for cross-domain interface collaborative invocation, comprising: receiving a request and generating a request identifier and an initialized processing status; initiating a synchronous interface call and starting asynchronous message listening based on the identifier; if a synchronous result is received within a preset threshold, acquiring a distributed lock, parsing the result and returning it to the upstream, and updating the processing status to complete; if synchronization times out, returning a waiting prompt and recording the status as timeout waiting; when an asynchronous result is detected, acquiring a distributed lock and, if the query status is timeout or unprocessed, performing persistent recording based on the asynchronous result and updating the status to complete. This invention can be applied to business scenarios such as fintech and healthcare, using request identifiers and distributed locks to uniformly control synchronous and asynchronous processing flows, ensuring timely response while avoiding duplicate result processing and status conflicts, and improving the consistency and reliability of cross-domain calls.

The application relates to an intelligent safety monitoring method and system integrating multi-parameter health monitoring and emergency alarm positioning, a computer device and a storage medium. The method comprises the following steps: synchronously collecting PPG optical signals, piezoelectric pressure signals, motion posture signals and body surface temperature signals; dynamically calibrating a mapping relationship between pulse wave transmission time and blood pressure based on historical resting data, and calculating physiological parameters; extracting physiological and motion characteristics, inputting a lightweight AI model for real-time inference, and identifying the probability of a dangerous state; when the dangerous probability exceeds a threshold value and continuously exceeds a set time or an active trigger signal is received, starting local sound-light vibration alarm, satellite positioning and sending alarm information; if a false alarm cancellation operation is received, stopping the alarm and inputting the current parameters into the model for false alarm learning, otherwise repeating the alarm. The application realizes millisecond-level local danger identification and full-automatic emergency alarm, is not dependent on the cloud, and has high reliability.

The application discloses a fire accurate detection positioning system and method for fixed monocular vision of a vertical rod, and relates to the technical field of computer vision, which comprises the following steps: continuously collecting images of a monitoring area by a camera fixed at the top of the vertical rod, acquiring a continuous multi-frame monitoring image sequence, and respectively adding area identification codes to different distance areas; performing real-time fire detection on the collected images; performing space-time consistency judgment on the detection results of the continuous multi-frames; calculating the actual geographic position coordinates of a fire point; transmitting a fire information packet to a local server; and performing secondary verification on the received fire information at the local server side. The application has the advantages that, by means of partition preprocessing and an adaptive multi-resolution detection mechanism, the scale difference problem of near and far targets in a large-scale monitoring scene is effectively solved, the real-time detection capability of the edge device is maintained while being light-weighted, and the recognition precision of small-size and far-away fire is significantly improved.

This application relates to a method, apparatus, computer equipment, medium, and product for predicting the number of yeast cells in fermented grains. The method includes: acquiring a mixed fermented grain sample, constructing a sample database based on the mixed fermented grain sample, obtaining training samples and test samples from the sample database, training candidate prediction models using the training samples, obtaining model evaluation parameters of the candidate prediction models when training stops, determining a target prediction model from the candidate prediction models based on the model evaluation parameters, and predicting the number of yeast cells in the fermented grains based on the target prediction model. This method can improve the real-time performance of predictions.

The application provides a building fire-fighting early warning system and method, and belongs to the technical field of building fire-fighting safety. The application synchronously collects temperature, smoke concentration and carbon monoxide concentration data in each monitoring area of a building, calculates the deviation degree of sensor sliding window variance and baseline variance, evaluates the reliability index of each sensor in real time and generates adaptive fusion weight, simultaneously detects and isolates the fault sensor through time sequence deviation residual analysis, evaluates the consistency between sensors and generates a correction weight, relies on the dynamic update of the environment baseline based on the exponential weighted moving average, generates a graded early warning threshold for each area and triggers the corresponding response measures. The application effectively improves the robustness of the system under the condition of sensor failure, enhances the fusion accuracy in the multi-sensor conflict scene, realizes the early prediction of the fire spread situation, reduces the false alarm rate while maintaining a high fire detection sensitivity and a short detection response time.

The utility model belongs to the technical field of gas stoves, and discloses a self-adaptive flame-out protection device adopting a multi-sensor fusion technology, which comprises a device body and a dismounting piece, the device body comprises a shell and a rear cover, one side of the shell is provided with an opening, the rear cover is fixedly arranged at the opening of the shell through a screw, the dismounting piece comprises a connecting plate, and the connecting plate is fixedly connected with the shell. A V-shaped elastic clamping head is formed at one end of the connecting plate, a clamping block is formed at the other end of the connecting plate, a first clamping groove is formed in the upper end of one side of the shell, a second clamping groove is formed in the upper end of one side of the rear cover, the clamping block is inserted into the second clamping groove, and the V-shaped elastic clamping head is clamped in the first clamping groove. The V-shaped elastic clamping head and the clamping block of the disassembly and assembly piece are matched with the first clamping groove and the second clamping groove, and compared with a traditional screw fixing mode, rapid assembly and disassembly are achieved, and operation efficiency is greatly improved.

The application discloses a renewable energy power generation uncertainty tracking method based on a recursive Gaussian mixture model, comprising the following steps: 1, obtaining a deterministic prediction curve of renewable energy power generation, forming a joint observation set containing predicted and actual power generation; 2, setting the cluster number as k, performing a k-means algorithm to obtain k clusters; 3, based on the k clusters, calculating initial parameters of each Gaussian component in the Gaussian mixture model; 4, updating the Gaussian mixture model parameters by using an expectation maximization algorithm to obtain starting optimal parameters; 5, constructing a recursive updating probability model, and based on newly-arrived samples, recursively updating the probability model; 6, using the updated Gaussian mixture model, calculating the conditional probability distribution of the actual power under the condition of the latest predicted power, so as to realize real-time quantification and tracking of the renewable energy power generation uncertainty.

This invention belongs to the field of medical temporal signal processing technology, specifically a method for predicting respiratory-related displacement based on attention-embedded dilated convolution. The method involves acquiring respiratory-related temporal data of the target object over continuous time; inputting this data into a trained respiratory-related displacement temporal prediction network model, which outputs the predicted respiratory displacement. The network model comprises multiple cascaded dilated convolutional residual blocks and a prediction layer. Each dilated convolutional residual block includes a causal dilated convolutional unit, a self-attention mechanism unit, and a residual connection unit. The output of the last dilated convolutional residual block is input into the prediction layer, which outputs the respiratory-related displacement of the target object at future time points. This invention dynamically weights key time steps during each layer's temporal feature extraction process, thereby improving the predictive ability for respiratory-related displacement and tumor motion.

The invention relates to the field of airport road foreign matter detection, and provides a machine learning-based FOD detection algorithm, which comprises an input module used for receiving basic image data of an airport runway; the processing module is used for carrying out preprocessing and feature extraction on the input data; the storage module is used for storing the original image data and the detection result; the acquisition module is used for acquiring image and sound data of an airport runway in real time; and the recognition module is used for recognizing moving objects and static objects in the collected data based on a machine learning model. And high-precision real-time detection is realized through cooperation of multiple modules. The acquisition module adopts a high-definition camera to ensure that image data is clear; the processing module utilizes a convolutional neural network (CNN) to extract features, and can accurately recognize moving and static objects in combination with a YOLOv5 algorithm of the recognition module. The comparison module compares the real-time image with the original image, abnormity is judged if the real-time image is lower than the threshold value, the runway foreign matter can be found in time, and the system can rapidly position the FOD in the complex environment.

This application relates to the field of slope monitoring technology and discloses a calibration method and apparatus for highway slope monitoring signals based on deformation characteristics. The method includes: collecting raw monitoring data through a network of monitoring sensors installed on the surface of the highway slope; cleaning the raw monitoring data to remove outliers and noise interference, obtaining a standardized deformation data sequence; extracting deformation features based on the standardized deformation data sequence using a deformation trend recognition algorithm to generate a deformation feature set; converting the dimensions of multiple deformation features in the deformation feature set into calibration signal control dimensions; wherein the calibration signal control dimensions include control amplitude dimension, control frequency dimension, and control phase dimension, and each dimension of the deformation feature is converted into a corresponding calibration signal control dimension; generating a calibration monitoring signal based on the multiple dimensions of the calibration signal control dimensions and outputting it. This achieves effective calibration of slope deformation monitoring signals, providing reliable support for slope stability monitoring.

The invention discloses a household energy storage system, and the system comprises an energy storage module which is used for storing electric energy or outputting the electric energy to the outside; the grid-connected circuit comprises a first switch; the first end of the first switch is connected with commercial power, and the second end of the first switch is connected with an electricity load; the energy storage module is electrically connected with the second end of the first switch; the current detection module is used for detecting current flowing through the first switch; the voltage detection module is used for detecting the voltage of the first end of the first switch; and the control module is electrically connected with the voltage detection module and the current detection module, and the control module is configured to control the conduction state of the first switch according to the voltage detection result of the voltage detection module and control the output of the energy storage module according to the current detection result of the current detection module. Therefore, the problem of insufficient mains supply power can be solved, installation is simple, and the improvement cost is low.

The application relates to an obstacle-avoiding unmanned aerial vehicle airborne laser radar device and belongs to the technical field of unmanned aerial vehicles. The device comprises a fuselage and a laser radar. Multiple wings are foldably arranged on the outer side of the fuselage. A driving motor is fixed at the outer end of each wing, and the output end of the driving motor is connected with a paddle. A protection mechanism is arranged on the wing and comprises a fixing assembly and a protection ring sleeved with the wing. The protection ring fixes the wing to the fuselage through the fixing assembly. When abnormal power failure occurs, the wing is folded by gravity and drives the protection ring to overturn to protect the paddle. A rack is arranged at the bottom of the fuselage, the laser radar is arranged in the rack, a supporting frame is connected to the rack through a mounting base at the bottom of the rack, and a damping mechanism is arranged on the mounting base and used for landing buffering. The device solves the problems that the folding of the wings of the existing unmanned aerial vehicle depends on manual operation or complex electric control, the landing buffering effect is poor, and the paddles are easily damaged during falling.

This invention provides a data spatial query method, apparatus, electronic device, and computer-readable storage medium. The data spatial query method provided by this invention includes: acquiring target business data; constructing a spatial field based on the latitude and longitude data of the target business data; importing the spatial field into a preset index; acquiring the latitude and longitude data of two diagonal vertices within a visualized map area; determining a data query range based on the latitude and longitude data of the two diagonal vertices; acquiring a geographic grid based on the data query range and the shrinkage ratio of the visualized map; and aggregating and statistically analyzing the target business data within the geographic grid area based on the spatial field to obtain query results. The data spatial query method provided by this invention can aggregate points on a large number of maps and respond promptly to the aggregation.

This utility model relates to an expansion joint structure, specifically a wear-resistant sleeve expansion joint structure with insert locking and sealing, comprising an outer cylinder and an inner cylinder. A layer of anti-friction filling material is provided between the outer cylinder and the inner cylinder. A flange connecting plate and a mounting bracket for bolting the flange connecting plate are connected to the inner cylinder. One end of the mounting bracket is connected to a damping insertion mechanism and an insertion mechanism disposed on one side of the damping insertion mechanism. The beneficial effects of this utility model are: through the cooperation between the damping insertion mechanism and the insertion mechanism, the inner cylinder and outer cylinder inside the sleeve expansion joint are installed using an insert locking method, enabling quick disassembly during routine maintenance or emergency handling. Simultaneously, relative sliding between the inner and outer cylinders is possible. When the size or position of the pipeline changes due to thermal expansion and contraction, vibration, or other external forces, the sleeve expansion joint can respond promptly and fully absorb the stress generated by these changes.

The application relates to the technical field of air conditioner cabinet control, and discloses an air conditioner cabinet control method, which comprises the following steps: acquiring state parameters of an air conditioner cabinet in real time, wherein the state parameters comprise operation parameters of multiple components of the air conditioner cabinet; performing environment prediction based on the state parameters, and determining an operation mode of the air conditioner cabinet based on the result of the environment prediction; determining fan basic parameters corresponding to the operation mode; performing linkage control on the operation parameters of the multiple components of the air conditioner cabinet based on the result of the environment prediction, the fan basic parameters and the state parameters; and continuously monitoring the state parameters acquired in real time, and taking corresponding processing measures when an abnormality is monitored. The application realizes the whole-process closed loop from prediction to decision-making, from linkage control to abnormality protection, effectively improves the comfort, reduces the energy consumption and enhances the operation safety.

This invention discloses a backflow suppression device and an anti-backflow fan and refrigerator including the same. The backflow suppression device is used to suppress the backflow of gas from the air inlet of the fan to the outside of the fan. It includes: a flow-suppressing part, which is arranged around the outer edge of the air inlet, with one side of the flow-suppressing part rotatably connected to the outer edge of the air inlet, and the other side of the flow-suppressing part extending towards the axis of the air inlet, and the flow-suppressing part being used to rotate around the outer edge of the air inlet; and a limiting part, which is arranged around the outer edge of the air inlet, and the limiting part being used to restrict the rotation of the flow-suppressing part towards the outside of the fan. When gas backflows from the air inlet, the flow-suppressing part rotates towards the limiting part; when air enters the air inlet, the flow-suppressing part rotates towards the impeller of the fan. The flow-suppressing part can block the backflow generated in the positive pressure zone, thereby reducing eddies and the noise generated by eddies. It reduces repetitive work, thereby improving the efficiency of the fan and reducing energy consumption.

The invention discloses a second-level wind power prediction method and system based on laser radar data, and relates to the technical field of wind power prediction, and the method comprises the steps: deploying a real-time wind measurement network comprising a ground-based radar and a cabin-type radar at a key airflow position of a wind power plant; multi-source heterogeneous data of the network, the fan SCADA system and the numerical weather forecast are collected, and revised data are obtained through spatial correlation anomaly identification and reconstruction. And predicting the total power of the wind power plant by using a power prediction model constructed by the long-short-term memory network, and updating power prediction data and terminal display according to a preset period. The technical problems that a traditional wind power prediction means is difficult to comprehensively capture key airflow information of a wind power plant and effectively process multi-source data abnormity, and the prediction response speed cannot be matched with real-time requirements are solved, real-time and accurate wind power prediction is achieved, and the prediction efficiency is improved. And effective support is provided for efficient dispatching of the wind power plant and stable operation of the power grid.

This invention discloses an intelligent fault prediction method for pneumatic valve islands based on multi-protocol integration, belonging to the field of pneumatic valve island fault prediction technology. It includes constructing a protocol sensing layer data cube by integrating multi-protocol edge gateways to synchronously collect multi-source sensor data under the same timestamp reference, based on the heterogeneous characteristics of the valve island's physical topology and protocols. This invention achieves a paradigm shift from macroscopic pressure judgment to microscopic feedforward early warning by constructing the protocol sensing layer data cube, fusing protocol-topology joint feature maps, quantifying microscopic flow stability, predicting flow reconstruction probability, generating dynamic multimodal intervention commands, verifying protocol adaptive closed-loop, and performing digital twin health simulation. This forms a complete intelligent prediction-intervention-optimization closed loop, enabling the system to intelligently replenish air and automatically adjust throughout the process, achieving zero-blockage operation of the valve island and significantly improving system reliability and maintenance efficiency.