37results about How to "Reduce deployment" patented technology

The invention relates to a vehicle control method and a vehicle control system. The method comprises the following steps: establishing interconnection with a vehicle terminal; the desktop application is sent to the vehicle terminal, the vehicle terminal displays the desktop application on a display screen, and when a touch instruction for the display screen is detected, the touch instruction is sent to the mobile terminal; receiving the touch instruction and the intelligent cabin data sent by the vehicle terminal; and the intelligent cabin data is analyzed, a control instruction corresponding to the touch instruction is obtained, and the control instruction is sent to the vehicle end execution equipment so as to control the vehicle end execution equipment to respond to the control instruction. According to the invention, the intelligent cabin function of the vehicle is set in the mobile terminal, and the intelligent cabin function is operated by using the resource of the mobile terminal home terminal, so that the deployment of the intelligent cabin function at the vehicle terminal can be omitted, the experience of touch control of the vehicle terminal can be provided for a user, and the interconnection application of the mobile terminal and the vehicle terminal can be expanded.

The invention discloses a login management method and device, and relates to the technical field of computers. A specific embodiment of the method comprises: receiving an acquisition request of a login page sent by a client, the acquisition request comprising a parameter identifier, and the parameter identifier comprising a service identifier and a user role identifier; acquiring login configuration information corresponding to the parameter identifier; and determining a login page corresponding to the acquisition request according to the login configuration information so as to display the login page on the client. According to the embodiment, the corresponding login configuration information is obtained by obtaining the parameter identifier in the request, the login page is determined according to the login configuration information, the login page is displayed, unified management of the login pages of different end systems can be achieved, the diversified requirements of the different end systems for the login pages are met, and the user experience is improved. And application deployment resources are saved, and maintenance is easy.

The invention discloses a structure sensor optimal arrangement method and system based on distributed deep reinforcement learning. The method comprises the following steps: constructing a deep reinforcement learning agent based on a non-decreasing quantile function network; constructing an interactive environment of sensor optimization arrangement based on a reverse order decision theory, and defining a state, an action, a reward function and a termination constraint; establishing a structural discrete state space equation based on a modal coordinate transformation theory, and calculating a trace of an estimation error covariance matrix by using a three-step recursive estimation algorithm; based on the trace and a sensor deployment cost function, constructing an optimization function aiming at minimizing an estimation error; and finally, training an intelligent agent by adopting a distribution reinforcement learning algorithm based on Huber quantile regression, and searching an optimal sensor arrangement scheme meeting cost and modal observability constraints by maximizing accumulated rewards. According to the invention, the optimal arrangement of multiple types of sensors under the constraint of fixed deployment cost is realized, and the precision and efficiency of structural state estimation are improved.

The invention provides a yarn vehicle code identification method, relates to the technical field of glass fiber production and manufacturing, and solves the technical problems that in the prior art, the efficiency of manual vehicle code identification is relatively low, errors are easy to occur after long-time identification, logistics conveying equipment frequently stops, and the production efficiency is influenced. The device comprises the following operation steps that when a yarn vehicle passes through a vehicle code recognition device, the vehicle code recognition device can obtain an image of a yarn vehicle code plate on the yarn vehicle; image information of the yarn vehicle code plate is uploaded to an ROI area detection network, and the ROI area detection network obtains an information section of the yarn vehicle code plate from the image of the yarn vehicle code plate; the information section is uploaded to a vehicle code identification network, and the vehicle code identification network obtains the vehicle code information contained in the information section and verifies the vehicle code information; if the verification is passed, vehicle code information is uploaded to an upper computer system for distributing the direction of the yarn vehicle; and if the verification is not passed, giving an alarm.

The invention relates to a performance testing method and device. The method comprises the steps of obtaining architecture feature information of a target computer system in response to a floating point performance test request of the target computer system; according to the architecture feature information, matching a corresponding target executable file from the performance test software package; the performance test software package is obtained by integrating and packaging after compiling executable programs according to test environments of various architectures; and executing a test according to the target executable file to obtain a floating point performance test result of the target computer system. According to the method, the test environments of the multiple architectures are subjected to executable program compiling and then integrated packaging in advance, so that the performance test software package comprises the executable files of the multiple architectures, and in the actual HPL test process, the corresponding executable files can be matched from the performance test software package for testing for any computer system; and a corresponding test environment does not need to be deployed for each computer system, so that the test efficiency is improved.

The present invention relates to the field of wireless communication technology, and in particular to a wireless communication method, system and semiconductor device. The method comprises the following steps: obtaining a wireless communication channel set between user devices and performing real-time monitoring of device communication requirements and channel conditions to obtain device wireless communication requirements and wireless communication channel conditions for each wireless communication channel between user devices; performing channel grouping processing and wireless communication spectrum perception analysis on the wireless communication channel set between user devices to obtain spectrum usage channels for each group of user device wireless communication channels; summarizing and analyzing network loads and interference levels of wireless communication channel subgroups between user devices, and performing dynamic spectrum resource allocation optimization processing, while performing user communication optimization processing on corresponding wireless communication channel subgroups to obtain wireless communication optimization results between user devices. The present invention can achieve higher data transmission rates and signal stability.

The invention provides a log analysis method and system based on a large language model, and belongs to the technical field of log analys.The method comprises the steps that anti-fact rewriting is conducted on a to-be-analyzed log, and multiple log variants are obtained; log parameters are extracted from the log variants through the large language model to serve as intermediate variables, and the confidence coefficient of each intermediate variable is determined; performing correctness scoring on each intermediate variable based on statistical information of a historical log corpus knowledge base; determining a comprehensive score of each intermediary variable according to the confidence coefficient of the intermediary variable and the correctness score of the intermediary variable; and screening the medium variable with the highest comprehensive score as a log parameter of the log to be analyzed, and generating a log template of the log to be analyzed according to the log parameter of the log to be analyzed. According to the log analysis method, the stable semantic structure of the log can be more emphasized in the log analysis process, and the accuracy and generalization ability of log analysis are improved.

The invention discloses a black vehicle-oriented real-time point cloud fusion detection method, system and device, and a medium. The method comprises the following steps: step 1, obtaining point cloud data through a laser radar; 2, scanning the point cloud data, marking the continuous point cloud blocks with the reflection intensity of 0 as unlicensed car identifiers, and storing the unlicensed car identifiers in point cloud attribute positions; step 3, performing dual-thread compensation, performing clustering operation on the point cloud data set with the unlicensed car identifier by using DBSCAN, and performing imaging processing on a clustering operation result by using Point Pill to obtain a three-dimensional image model; forcibly outputting an unlicensed vehicle detection frame image according to an image processing result or improving the confidence coefficient as an unlicensed vehicle compensation confidence coefficient, and preferentially adopting a model result; when the two conditions do not belong to the above two conditions, performing weighted fusion on the operation result; and step 4, fusing operation results in the step 3 into a complete three-dimensional frame image. Therefore, the problem of missing detection is solved, and the detection rate and detection efficiency are improved.

The invention relates to the technical field of surveying and mapping devices, and discloses a surveying and mapping device for road planning, which comprises a support rod and a surveying and mapping device arranged above the support rod, and also comprises a mounting part arranged on the support rod; the adjusting part is mounted on the supporting rod; the supporting part is arranged on the supporting rod; the mounting part comprises a limiting assembly, and the limiting assembly is mounted on the supporting rod; the pulling assembly is arranged on the supporting rod; the limiting assembly comprises a connecting rod slidably connected to the inner wall of the supporting rod, a connecting block is fixedly connected to the top of the connecting rod, and a containing groove is formed in the connecting block. By arranging the mounting part, the problems that in the using process of an existing surveying and mapping device, fasteners need to be screwed one by one during disassembly and assembly, the steps are tedious and time-consuming, during multi-point-position circulation surveying and mapping, time-consuming for repeated disassembly and assembly and erection is long, rapid entering and transition are inconvenient, and the overall operation progress is seriously slowed down are solved.

The application discloses an environmental protection anti-radiation bionic fish robot based on ESP32, which comprises a water main control end and an underwater bionic fish robot monitoring end. The underwater monitoring end adopts a bionic fish robot body, which is internally provided with an ESP32 chip and an expansion board. The ESP32 is electrically connected with a visual identification module, a water quality sensor, a nuclear radiation sensor, an ASR voice recognition module + a loudspeaker, a relay, a night light supplementing lamp, a three-color LED module and a buzzer. The relay is connected with a 4G communication module. The application integrates visual identification, water quality and nuclear radiation monitoring, voice interaction and remote communication functions, can actively identify marine pollution and fallen personnel, and voice interacts with the person in distress. When an abnormality is detected or a help-seeking instruction is received, the position and alarm information are reported through 4G. The robot adopts a bionic fish shape, has high maneuverability and low cost, realizes the integration of pollution monitoring and rescue assistance, and fills the gap of nuclear radiation mobile monitoring and intelligent rescue assistance.

The application belongs to the technical field of computing resource scheduling, and provides an edge device computing resource scheduling system and method based on artificial intelligence, aiming to solve the scheduling failure problem caused by the mismatch between edge device computing release prediction and real state, comprising: extracting AI predicted computing release time and real release time from historical scheduling failure data in the past period, calculating the deviation, and outputting the deviation distribution set through DBSCAN clustering with time stamp and deviation as features, analyzing the relevance of the deviation and the corresponding time stamp, constructing a time-computing deviation coupling model, comparing the current time range deviation output based on the model with the real deviation, calculating the compensation time to optimize the AI prediction when there is a scheduling risk, and generating a scheduling scheme in combination with the task demand and the real-time state of the device.

The invention discloses a learning type query optimizer construction method and device based on two-stage search, and the method comprises the steps: verifying whether a user query is in an application domain of an optimizer or not through an application domain detector based on Mahalanobis distance measurement and through training data; if the query is not in the application domain, the query is processed and executed by a database management system at the bottom layer; if in the applicable domain, the method uses an existing plan generator based on beam search to generate k optimal plans as a candidate set, and uses an execution plan after data enhancement to train a selector; and the plan selector predicts the predicted time delay of the candidate plan by using a regression model so as to select an optimal query plan and submit the optimal query plan to the database management system for execution. The invention provides an accurate, efficient and robust query optimizer by utilizing a two-stage search and application domain detection mode, has the advantages of high output plan quality, high training efficiency, strong robustness and the like, and has a wide application scene.

The application provides a hardware perception-based model quantization method, system, medium, product and terminal, a hybrid execution mechanism is constructed between a high-level software framework and a bottom layer hardware behavior model, only core calculation operators in a quantization calculation graph of an initial quantization model which need to be executed on target hardware are handed over to a hardware behavior model for bit precision simulation, real calculation characteristics of the target hardware are simulated in a quantization process, and other auxiliary, non-computation-intensive operators are reserved in the high-level software framework for execution, so that the simulation verification efficiency is improved, the simulation precision and the execution efficiency are considered, and the goal that the quantized model runs more efficiently and has lower precision loss on the target hardware is achieved.

The invention relates to the technical field of target search, in particular to a PSO-HS-based target search method, which comprises the following steps: constructing a swarm robot system, and setting the number of search targets; the speed and the position of the robot are updated through PSO; calculating the probability that the robot responds to the search target, and performing subgroup division on the swarm robot system by utilizing the probability of the search target; a random model is constructed to adjust the speed of the robot; base station deployment is carried out, and the position of a base station is controlled by using a harmony search algorithm; and updating the speed and the position of the base station, and generating a new solution. According to the method, the problems of low optimization speed and high energy consumption during updating of the base station in the existing CN115955679A method are solved.

This invention relates to the field of vehicle collision detection technology, and specifically discloses a vehicle collision detection method and system based on an improved dual-stream convolutional network, comprising the following steps: Step S1: Real-time acquisition of an original video stream containing the target vehicle via an onboard camera; Step S2: Preprocessing the original video stream to extract spatial frame sequences and optical flow frame sequences; Step S3: Inputting the spatial frame sequences into the spatial flow branch of the improved dual-stream convolutional network. This vehicle collision detection method and system based on the improved dual-stream convolutional network achieves a significant improvement in detection accuracy and extremely low end-to-end processing latency, providing sufficient warning and response time for active safety systems. Its dual-stream parallel processing and adaptive feature fusion design effectively balance computational efficiency and feature integrity, enabling the system to maintain a low false alarm rate in complex driving scenarios and clearly distinguish between emergency braking and real collision risks.

The utility model relates to the technical field of sewage treatment, and discloses a peculiar smell absorption device for sewage treatment, which comprises an air inlet pipe and a treatment chamber, one side of the air inlet pipe close to the treatment chamber is fixedly connected with a delivery pipe, the bottom side of the air inlet pipe is fixedly connected with a collecting head, the air inlet pipe is connected with a cover body through a filter assembly, and the cover body is connected with a water inlet pipe. The cover body is in threaded connection with the top end of an air inlet pipe, an air inlet assembly is installed on the bottom side of a filtering assembly, the output end of a conveying pipe is located at the left end of the interior of the treatment chamber and is fixedly connected with an air outlet pipe, and a cooling assembly is arranged at the bottom end of the air outlet pipe. According to the sewage treatment device disclosed by the utility model, the activated carbon filter plate and chemical treatment are simultaneously utilized for treating the peculiar smell of sewage gas, and the flowing speed of the gas is delayed, so that the gas can fully react with chemical substances, the precision of the chemical treatment is further improved, and the sewage gas is better treated; the influence caused by peculiar smell in sewage treatment is reduced.

The utility model discloses a variable-frequency constant-pressure water supply energy-saving device, which relates to the technical field of water supply equipment and comprises a variable-frequency constant-pressure water supply energy-saving equipment body, and a damping base is fixedly mounted at the lower end of the variable-frequency constant-pressure water supply energy-saving equipment body. According to the variable-frequency constant-pressure water supply energy-saving device, the variable-frequency control box body, the water supply energy-saving box body, the protective interlayer and the like are arranged, a plurality of units are modularly customized, a water supply unit, an electrical unit and a pipeline structure form different functional box bodies, integrated installation is carried out, the land use requirement is reduced, and meanwhile protective isolation is achieved; the transportation, carrying and installation of the whole equipment are facilitated, the convenience is improved, the allocation and inspection time needed during installation is shortened, the installation efficiency is improved, the water break time is shortened, the noise reduction and heat insulation are achieved through the protection interlayer in the box body, the noise of equipment transportation is smaller, the equipment can be used in different environments, and the practicability is improved.

This application provides an NPS survey anti-fraud method and system. The method includes: acquiring users' NPS survey questionnaires; performing contradiction detection on the scores and selected reasons contained in the questionnaire based on a score-cause association rule base, outputting a cause-contradiction score; verifying the score values ​​and open text using a deterministic text analysis algorithm based on a domain sentiment dictionary, outputting a text-contradiction score; determining the questionnaire's suspicion score based on the obtained cause-contradiction score and text-contradiction score; and determining the questionnaire's validity based on the suspicion score. The corresponding system includes a data acquisition module, a verification module, and a decision engine module for performing the above steps. The storage medium stores instructions for implementing the above method. This application uses a pre-set rule base and domain dictionary to perform deterministic analysis on the questionnaire content, making the judgment process completely transparent and traceable, reducing the system deployment and maintenance threshold, and achieving efficient and reliable data anti-fraud effects.

The embodiment of the invention discloses a live broadcast stream screenshot method and system. The method comprises the following steps: a screenshot processing step: determining image group information corresponding to a received live broadcast stream to be subjected to screenshot processing; carrying out key frame detection and screenshot according to the image group information; an image secondary processing step: receiving a live broadcast stream screenshot acquisition request which carries a screenshot identifier; determining a screenshot parameter corresponding to the screenshot identifier; and obtaining a target key frame screenshot, carrying out image secondary processing according to the screenshot parameter and the target key frame screenshot, and returning the processed live broadcast stream screenshot resource. According to the method, the requirement of an upstream service end can be met, deployment of edge computing resources, consumption of uploading bandwidth and storage cost can be reduced, the efficiency is continuously improved, meanwhile, the cost consumption of edge computing is greatly reduced, and the stability of the whole edge computing system is guaranteed.

The invention relates to a Chinese webpage data acquisition and processing system and method, the system comprises an acquisition module, a data transmission module, a data processing module, a scheduling module and a data storage module, and the method comprises the following steps: the scheduling module puts seed url / url of sites with different weights into a task queue; the acquisition module reads the url to be acquired in the task queue, accesses internet data by initiating a network request, and writes responded webpage data into a kafka message queue in the data transmission module in a structured manner; the data storage module generates a corresponding jsonl.gz file from the webpage data through the data in the consumption data transmission module and uploads the file to s3 for storage; and the data processing module reads the html data in the s3 storage through spark, and carries out url extraction, pagerank calculation and combined deduplication processing. Compared with the prior art, large-scale and high-quality Chinese data acquisition processing and storage can be realized, and the method has the advantages of high acquisition efficiency, accurate duplicate removal, high timeliness, flexible configuration and the like.

The application discloses a data file encryption method and device, a computing device and a storage medium. The method comprises the following steps: receiving a file uploading request of a data file, storing a plurality of data fragments of the data file in a plurality of data nodes in a distributed storage system respectively; obtaining load information of a data node in which any data fragment of the data file is stored; determining an object of performing encryption processing according to the load information of the data node in which the data fragment is stored; and if it is determined that the object of performing encryption processing is the data node in which the data fragment is stored, controlling the data node to perform encryption processing on the data fragment. Through the above method, only a part of computing resources needs to be dynamically reserved in the data node, and the data node can complete the encryption processing of the data fragment when the load of the data node is low, without loading the data fragment to an external computing node for encryption processing, so that network bandwidth resources can be saved, and the situation that the data node has too large throughput can be avoided.

The invention discloses a biogas synchronous edulcoration-CO2 electrocatalytic reduction integrated purification method, and belongs to the technical field of gas purification, a biogas purification device is adopted to treat biogas to be treated, the biogas to be treated is in full contact with an electrolyte through a microbubble aeration device, H2S and NH3 in the biogas to be treated are absorbed, and the rest of gas rises, so that the biogas to be treated is purified. The gas is in countercurrent contact with the electrolyte sprayed by the spraying head, H2S and NH3 in the gas are further removed, the gas passes through the position where the three electrodes are located, CO2 in the gas is selectively reduced into CH4 through an electrocatalytic reduction reaction, and the purified biogas is discharged into a methane collecting tank from an exhaust port I; the method is simple to operate and mild in reaction condition, purification of the biogas and purification of impurities are realized, and the purified biogas is convenient for subsequent collection and utilization.

The invention provides a storage system, a storage service system, a storage processing method and storage servers, and relates to the field of storage, and at least two storage servers can be arranged in the storage system. Wherein the storage servers synchronously store the same user data; moreover, each storage server is provided with an HBA virtual port with the same storage area network identifier, and the binding relationship between the storage area network identifier of the HBA virtual port and the storage area network identifier of the client is established, so that the seamless switching between the master and the standby is realized. In actual work, the main server can utilize the HBA virtual port of the main server to carry out storage service interaction with the client; according to the technical scheme, the standby server needs to forbid the HBA virtual port of the standby server, the standby server can be automatically upgraded to the main server when detecting that the main server breaks down, storage service interaction is carried out with the client side based on the HBA virtual port of the standby server, and therefore dual-machine hot standby can be achieved through the storage server, and cost can be reduced.

This invention discloses a method and system for joint prediction of meteorological, wind, solar, and energy storage power based on ultra-long context, belonging to the field of power system prediction technology. The method constructs a multi-agent collaborative architecture for data cleaning, time alignment, context generation, and joint prediction, achieving automatic processing and efficient organization of historical data on wind power, solar power, and energy storage. By introducing an ultra-long context input mechanism spanning seasons and years, it overcomes the limitations of traditional model context length, achieving unified modeling and collaborative representation of multi-source data from different frequencies. Based on this, it utilizes a large time-series model to conduct zero-sample joint prediction, and combines physical constraints such as wind power curves, solar irradiance, and energy storage state of charge to construct a wind-solar-storage coupling consistency correction mechanism to optimize the prediction results. This invention effectively improves the multi-source covariate fusion capability and prediction accuracy, possessing good generalization performance and engineering adaptability.

This application discloses a method for correcting misjudgments in high-speed multi-type event detection based on LoRA, relating to the field of intelligent transportation technology. The method includes: acquiring real-time event information on the highway, identifying it using the YOLO algorithm, and outputting the original preliminary event detection results and environmental parameters; standardizing the preliminary detection results and extracting semantic and scene features of the event targets from the preliminary detection results to obtain standard preliminary detection results; performing secondary verification and misjudgment correction using a LoRA-optimized large model based on the standard preliminary detection results to obtain the event detection results; uploading the event detection results to the road segment central monitoring platform, and retaining misjudged, missed, and new scene samples for iterative optimization. This application aims to resolve the contradiction between the low reliability of event detection in complex highway environments and the inability to deploy high-precision large models at low cost and high efficiency under existing hardware conditions.

This application relates to the field of performance testing technology, providing a simulation testing method, apparatus, device, and storage medium. The method is applied to an electronic device and includes: receiving an interface call request sent by a test system, the interface call request being used to request a target service system to execute a target business function; processing the interface call request using a simulation system within the electronic device to generate simulation results, the business processing logic of the simulation system being consistent with the business processing logic of the target service system; and finally sending the simulation results to the test system. This method not only reuses the business processing logic of the target service system without relying on reverse engineering, thus effectively reducing development cycle and adaptation costs, but also effectively avoids the testing limitations caused by the closed nature of the target service system in related technologies, achieving full-process testing independent of the target service system.

This invention discloses an indoor data acquisition and positioning method, positioning system, and storage medium based on a neural network algorithm. It employs a multi-terminal collaborative architecture to achieve a closed-loop positioning process for small-scale indoor scenes. The system uploads indoor planar images via a front-end device and performs scale calibration to establish a mapping relationship between pixel coordinates and physical space. In acquisition mode, it acquires multi-source signals in real time and expands the effective sample. After back-end data processing and storage, the algorithm extracts signal features through a neural network, performs adaptive weight allocation and feature fusion, and trains to generate a fingerprint database model. In positioning mode, it performs signal matching and coordinate calculation based on this model, and finally, the positioning results are visualized and displayed on the front end. This invention requires no dedicated acquisition equipment or base station deployment, and has the advantages of high positioning accuracy, low deployment cost, convenient maintenance, and user-friendly operation, making it suitable for various small-scale indoor positioning needs.

The embodiment of the present invention discloses a method, device, computer equipment and storage medium for locating partial discharge of high-voltage equipment. The method comprises: obtaining electromagnetic wave signals excited by discharge of high-voltage equipment, ultrasonic signals generated by discharge of high-voltage equipment, partial discharge ultra-high frequency signals and partial discharge ultrasonic signals to obtain an initial signal; performing signal analysis on the initial signal to calculate the distance from the discharge position to each ultrasonic receiver; performing a coarse-grained search for the discharge position according to the distance from the discharge position to each ultrasonic receiver until a stop condition is met to obtain a first search result; performing a fine-grained search for the discharge position in the first search result until a stop condition is met to obtain a partial discharge position. By implementing the method of the embodiment of the present invention, the accuracy of the combined electro-acoustic positioning of partial discharge can be effectively improved, and the deployment of monitoring equipment in high-voltage equipment rooms and switchgears can be reduced.

The invention discloses an implementation method for constructing an air traffic control automatic display system of a micro-service architecture, an SDD system based on the micro-service architecture is constructed by introducing Golang, WebGL and React technologies, the system specifically comprises a software engine, a Golang programming language and the micro-service architecture, the software engine is responsible for acquiring, processing and displaying management data; through a plug-in mechanism, a user can quickly expand functions of a software engine according to requirements, and different data sources and function modules are supported; according to the method, high customization is supported, and a user can flexibly configure interface layout and display different data and graphs through modular design, so that the method adapts to the difference of air traffic control requirements of various regions; and by utilizing 2D / 3D hardware acceleration rendering supported by WebGL, visual and smooth data display is provided for an administrator, and the information acquisition efficiency is improved.

The invention discloses a power distribution network equipment fault classification method based on adaptive period selection, and the method comprises the steps: carrying out the preprocessing of an original signal of a power distribution network, and generating standardized time series data; dynamically extracting periodic characteristics of the signals from the standardized time sequence data by using FFT and EMA; integrating the periodic features and the standardized time sequence data based on a lightweight periodic module to generate an optimized feature vector; processing the optimized feature vector by adopting bidirectional position coding to obtain an optimized feature vector after time dependence enhancement; and carrying out classification processing on the optimized feature vectors through a classifier, and finally outputting a fault category with the highest probability. According to the invention, the efficiency, accuracy and robustness of intelligent power grid power distribution equipment monitoring can be greatly improved, the problems of fault classification instantaneity and reliability in complex power grid environments (such as cities, villages and industrial parks) are solved, the maintenance cost of a power grid is reduced, and the power supply stability is improved.