247results about How to "Reduce interruptions" patented technology

The invention relates to the technical field of electric power measurement and control instruments, in particular to an operation method and system based on an electric power measurement and control instrument, and the method comprises the following steps: based on the electric power measurement and control instrument, remotely collecting real-time operation data of a power grid, screening and removing abnormal data, integrating historical operation data, analyzing data collected from a sensor, and obtaining an equipment fault probability index. According to the invention, real-time data remotely collected by the electric power measurement and control instrument is combined with historical data for analysis, so that fault prediction is more accurate, the probability of power grid interruption is reduced, the accuracy of real-time determination of key monitoring points and fault prediction is improved, resource allocation is optimized, the fault processing speed is accelerated, and intelligent comparison with maintenance period data is realized. The method optimizes the maintenance schedule, guarantees the efficient operation of the power equipment, effectively predicts the future load change through analyzing the difference between the current load and the predicted load, guarantees that the power grid can adapt to different operation conditions, and improves the reliability and efficiency of the whole power grid.

The invention relates to the field of satellite operation, and discloses an in-orbit collision avoidance method and device for a constellation system, and the method comprises the steps: enabling a ground system to obtain the ephemeris information of a constellation satellite and space debris; the ground system evaluates the first collision risk of the satellite in the first period time in the future according to the ephemeris information of the constellation satellite and the space debris; when the first collision risk is greater than a first threshold value, the ground system uploads ephemeris information of the space debris to a satellite; the satellite updates a second collision risk in a second period time in the future in real time based on the received space debris ephemeris information and the satellite positioning information; when the second collision risk is greater than a second threshold value, the satellite formulates a corresponding collision avoidance strategy, and orbital maneuver is carried out according to the collision avoidance strategy; and after the avoidance is completed, the satellite actively maneuvers and returns to a nominal position corresponding to satellite ephemeris information, and the connection with the ground system is recovered. According to the invention, the accuracy of collision risk assessment is improved, and the implementability is improved.

The invention relates to the technical field of music sharing, and particularly discloses a music sharing method and system based on an intelligent Bluetooth headset and the Bluetooth headset. Comparing the working state signal interference evaluation parameters of each Bluetooth earphone with a working state signal interference evaluation parameter threshold value of the Bluetooth earphone, and if the working state signal interference evaluation parameter of a certain Bluetooth earphone is greater than the working state signal interference evaluation parameter threshold value of the Bluetooth earphone, switching a working channel of the Bluetooth earphone; according to the method, the quality of each channel is evaluated, the to-be-adjusted Bluetooth headset is subjected to channel switching according to each channel switching reference index of the to-be-adjusted Bluetooth headset, and the working channels of the Bluetooth headset are dynamically switched, so that the Bluetooth headset can be helped to maintain stable connection, disconnection or unstable signal conditions are reduced, and the service life of the Bluetooth headset is prolonged. And the data transmission rate can be improved, and congestion is reduced.

The invention relates to the technical field of livestock breeding instruments, and discloses an auxiliary fixing device for animal husbandry veterinary examination, which comprises a fixing cage, fences are arranged on the periphery of the fixing cage, a fixing cage base is used as a horizontal plane, for two oppositely arranged fences in the X-axis direction of the fixing cage base, a neck clamping device is arranged in one of the fences, and the neck clamping device is arranged in the other of the fences. One fence is of a movable structure and moves towards the neck clamping device under the action of a driving mechanism, a cage door is formed in the fence, and a lower fixing device is arranged on the lower portion of the fixing cage and used for limiting and supporting the abdomen and four limbs of the livestock. Lifting frames are arranged on the two sides of the outer portion of the fixing cage in the Y-axis direction. The lower fixing device and the upper fixing device are matched with each other, the abdomen, the four limbs and the back of the livestock are limited, supported and clamped in all directions, so that the livestock is difficult to struggle off and keeps a relatively stable posture, and a safe and reliable foundation is provided for subsequent inspection operation.

The invention discloses an agent task scheduling planning method, and relates to the technical field of agent scheduling. The method comprises the steps of analyzing a task instruction to generate atomic tasks capable of being independently executed, constructing a subtask dependency graph, and defining association constraints between the tasks; determining the real-time resource occupancy state of the intelligent agent to obtain a resource state tensor, completing resource-task association anchoring and dependency priority ranking in combination with the sub-task dependency graph, and generating a task priority sequence with resource constraint; performing dynamic capability matching and predictive load balancing calculation on the sequence through a task-agent adaptation model, and determining a target execution agent of each atomic task; and based on the target execution agent and the subtask dependency graph, performing time sequence scheduling arrangement and conflict resolution, and generating a collaborative execution scheme. The method improves the reasonability and efficiency of agent task scheduling, reduces resource conflicts and execution timeout risks, and is suitable for agent cluster collaborative scheduling in a complex scene.

The invention provides a distributed power supply communication gateway resource scheduling method and system based on dual-mode communication, and relates to the technical field of carrier wireless dual-mode communication, and the system comprises a time division module, a node evaluation module, a channel real-time monitoring module, a channel strategy making module, an efficiency monitoring module and a security analysis module. According to the invention, the output of the distributed power supply is monitored in real time and the access parameters are automatically adjusted to match the power grid demand, so that the efficiency and reliability of energy management are remarkably improved, the data loss is reduced, the communication security is enhanced, the nodes of carrier wireless dual-mode communication are identified, and the time distribution of the nodes in communication is verified; according to the method, the communication network can flexibly cope with load changes, load management of the network is optimized, resource waste or congestion caused by fixed time allocation is reduced, encryption keys are dynamically updated, abnormal data modes are identified, and data safety and tamper-proof capacity are greatly improved.

The invention provides a graphical construction and edge deployment method for configuration software development for a micro-service architecture, which comprises the following steps of: constructing an interface and logic of configuration software by adopting a graphical interface through operations such as drag-drop, connection and the like; establishing a graphical component library comprising a plurality of predefined micro-service components, wherein the predefined micro-service components comprise data acquisition, processing, storage, display and the like; the predefined micro-service component supports conversion of the graphical component into an executable micro-service code, and configuration software is constructed; deploying the micro-service of the configuration software at a position close to a data source in combination with an edge computing node deployment strategy; the edge deployment framework automatically completes deployment and starting of the micro-service according to the configuration file and supports automatic deployment, monitoring and upgrading of the micro-service; the states of the edge computing nodes are monitored through a graphical interface, and remote configuration and management are carried out; and performing real-time viewing, log analysis, troubleshooting and the like on the node state. The development efficiency is improved.

The invention relates to the technical field of data processing, in particular to a hoisting state intelligent sensing and early warning system, method and equipment, and the system comprises an environment interference early warning module, a hoisting equipment abnormity early warning module, a hoisting operation abnormity early warning module and a hoisting system database, according to the intelligent sensing and early warning system, method and equipment for the hoisting state, the influence of environment interference, hoisting equipment abnormity and hoisting state abnormity on hoisting operation is comprehensively analyzed, and a comprehensive hoisting operation abnormity evaluation system is formed; the evaluation system not only can monitor the environmental interference degree of a hoisting operation site in real time, but also can perform analysis and early warning on hoisting equipment abnormity and hoisting state abnormity, and through comprehensive evaluation and early warning on hoisting operation, the emergency response capability of hoisting operation can be improved, and the safety of hoisting operation is improved. And therefore, the hoisting operation can still be kept stable and safe under the emergency condition.

The invention provides a cloud computing-based narrow-linewidth 1200 nm semiconductor laser data processing system, and relates to the technical field of data processing, and the system comprises a laser transmitting module which is used for transmitting a narrow-linewidth 1200 nm laser beam by using a semiconductor laser; the data acquisition module is used for being connected with the laser emission module, acquiring state parameters, including power, wavelength, line width and working environment data, of the laser beam in real time, and preprocessing and digitally converting signals output by the sensor; and the cloud processing platform module is used for receiving and processing the data of the data acquisition module, realizing real-time analysis, anomaly detection, trend prediction and remote monitoring of the data, and obtaining an analysis result of a cloud processing platform. According to the invention, remote intelligent monitoring and automatic optimization adjustment of the laser are realized, and the data processing efficiency and the performance stability of the laser are improved.

A method and apparatus for performing predictive measurements in a wireless communication system are provided. A wireless device receives, from a network, a measurement configuration including (i) a measurement object and (ii) a reporting condition. The wireless device derives (i) at least one predicted measurement for the measurement object and (ii) a predicted time when the at least one predicted measurement satisfies a reporting condition. The wireless device sends (i) information about the at least one predicted measurement and (ii) information about the predicted time.

The invention discloses an operation data optimization method and system of a virtual power plant. The method relates to the technical field of data processing, and comprises the following steps: collecting and processing virtual power plant operation data; analyzing the operation data of the virtual power plant; and comprehensively analyzing, optimizing and adjusting the security of the operation data of the virtual power plant. According to the method, the virtual power plant operation data is acquired and processed, the virtual power plant operation data is analyzed, the virtual power plant operation data transmission monitoring evaluation index and the virtual power plant operation data encryption reliability evaluation index are obtained, and the virtual power plant operation data security is comprehensively analyzed, optimized and adjusted. The security of the operation data optimization method and system of the virtual power plant is improved, and the problem that the security of the operation data optimization method and system of the virtual power plant is insufficient in the prior art is solved.

The invention relates to the technical field of natural language processing, in particular to a browser automation method and system based on natural language processing. The invention particularly relates to a method and a system for generating an operation instruction by simplifying a webpage DOM (Document Object Model) structure and utilizing a GPT model. By monitoring and adapting to webpage structure changes in real time, the system can keep continuous effectiveness of automatic operation. Even if the page is subjected to large structure adjustment, the system can still automatically analyze and adjust the operation logic, and the intervention requirement of a user is reduced. And the circular updating and adapting module can quickly respond to webpage changes, so that the phenomenon of operation failure or interruption caused by page updating is reduced. Even if the DOM structure of the page is greatly changed, the system can quickly adjust, and successful execution of the task is ensured.

The invention provides a geological exploration sampling method and sampling equipment based on vibration drilling and obstacle recognition, and belongs to the technical field of geological exploration. The geological exploration sampling method comprises the following steps: 1, starting drilling; 2, switching a vibration mode; 3, obstacle recognition; 4, grouting assistance; and 5, recovering drilling and completing sampling. According to the geological exploration sampling method, the adaptability to complex stratums can be improved by switching the rotary drilling mode and the vibration drilling mode, a multi-sensor module is adopted in the obstacle recognition step, and pressure, sound waves and vibration signals are collected in real time, so that the obstacle type is accurately judged, and a basis is provided for subsequent drilling mode adjustment. In the grouting assisting step, grouting equipment is adopted to inject grout into an obstacle area from grouting micropores in the front end of a drill bit through a grouting channel so as to effectively weaken an obstacle structure. By means of the method, efficient drilling and sampling operation under the complex stratum condition can be achieved, the drilling tool jamming risk is reduced, adaptability is high, and efficiency is high.

The invention discloses a motor stator short circuit ring automatic assembly device, and relates to the technical field of short circuit ring assembly.The motor stator short circuit ring automatic assembly device comprises a control machine table, a controller is installed on the upper surface of the control machine table, a supply conveying belt is installed on the front side face of the controller, and a feeding air cylinder is installed at the conveying end of the supply conveying belt; an assembling assembly is installed on the rear side of the feeding air cylinder, an interval distribution mechanism is arranged on the surface of the supply conveying belt, a damage prevention and centering mechanism is arranged in the assembling assembly, oil liquid is driven to be sprayed out through pressure, then it is ensured that lubricating oil is evenly distributed between a mold and a base by ingeniously using suction force generated by counter-acting force, and a thin oil film is formed; the high-efficiency boundary lubrication effect is achieved, firstly, through continuous and uniform oil film lubrication, direct contact friction between the die and the stator short circuit ring assembly part in the pressing process is effectively reduced, in addition, due to the existence of an oil film, the friction coefficient between contact surfaces is greatly reduced, and material deformation and displacement caused by friction are reduced.

The invention relates to a fault prediction method and system for an IP network. The method comprises the following steps: collecting network link data; extracting network link characteristics according to the network link data; training a GRU model through the network link features to obtain a prediction model; and inputting real-time network data into the prediction model to obtain a prediction result. According to the invention, the efficiency and accuracy performance of performance monitoring and fault prediction can be improved.

The invention relates to the technical field of satellite communication, and discloses a communication method and system for a long-voyage ship based on L frequency band communication, and the method comprises the steps: recognizing the navigation environment and communication demands of the long-voyage ship, recognizing the satellite signals of the long-voyage ship and a communication end through recognizing the frequency band characteristics of a communication frequency band, and carrying out the communication of the long-voyage ship; a signal tracking network of satellite signals is set, signal parameters of the satellite signals are monitored in real time according to the signal tracking network, a quality feedback mechanism of the signal parameters is set, the current signal quality grade is identified, and the signal quality requirements of the long-voyage ship and the communication end are identified based on the current signal quality grade; the method comprises the following steps: setting a multi-beam switching mechanism pointing to beams and a signal locking network of satellite signals, setting a confidential path for transmitting data, and generating a communication result of a long-voyage ship and a communication end in combination with the multi-beam switching mechanism, the signal locking network and the confidential path; according to the invention, the stability and safety of signal transmission can be enhanced, and the communication quality of the long-voyage ship is improved.

The invention discloses a communication signal interference optimization system and method based on machine learning, and the system comprises a channel data collection module which collects channel data in a communication environment, builds a channel data group, and transmits the channel data group to a data processing and feature extraction module; the data processing and feature extraction module is used for receiving the channel data set in real time and carrying out preprocessing and multi-feature engineering processing on the channel data set to obtain a channel feature set and a signal quality data set; the machine learning model module is used for constructing a multi-level model and training the constructed multi-level model; the self-adaptive channel selection optimization module is used for performing interference prediction analysis by using the training data transmitted by the machine learning model module and triggering a multi-channel switching mechanism; and the iterative optimization module is used for acquiring interference data in real time through the signal interference detection equipment group after the initial signal selection, evaluating and optimizing the current channel signal quality, and generating an iterative mechanism.

The invention relates to a vSIM card distribution method, wireless network equipment and a server. The method comprises the following steps that S1, vSIM equipment stays in a network; the vSIM equipment successfully stays in the network and sends rejected information of the whole registration process to the server; s2, the vSIM device measures the speed and sends a card changing request to the server according to a speed measurement result; and S3, the vSIM device sends device information to the server, so that the server analyzes the traffic use condition of the user and redistributes the vSIM card to the vSIM device. According to the invention, the configuration can be automatically adjusted, the vSIM card can be intelligently allocated, the vSIM card can be reallocated according to the traffic use habit of the user, the network performance is optimized, the network experience of the user is improved, the manual intervention, maintenance and management cost is reduced, the method adapts to the network coverage and quality difference of different areas, and the adaptability and flexibility of the vSIM equipment are improved.

The invention relates to the technical field of fire-fighting communication, and discloses a fire-fighting emergency communication method and system, and the method comprises the steps: obtaining a communication request initiated by each communication sub-terminal, and receiving the communication request of the communication sub-terminal through a communication terminal; if at least one of the communication terminals is in an idle state currently, communication is established with the communication terminals in sequence according to the time sequence of the communication requests initiated by the communication sub-terminals by selecting communication channels arranged between the communication sub-terminals and the communication terminals; if the communication terminals are all in busy states at present, performing queue sorting according to the communication priorities of the communication sub-terminals to perform communication connection; and regularly carrying out communication quality inspection on the communication terminal and the communication sub-terminal. According to the method, a better communication effect at two ends can be ensured, the overall efficiency of emergency response is improved, the most important communication request can be preferentially processed through priority ranking, the overall communication response speed is increased, and the resource utilization rate of the overall system is improved.

The invention discloses an intelligent operation and maintenance management system and method for a data center. The method comprises the following steps: acquiring a network topology structure, performance data, power supply data and equipment state data from the data center; dividing the network into a plurality of sub-regions according to the network topology structure, and performing network resource configuration according to the performance data and the power supply data of the plurality of sub-regions; performing fault prediction on the plurality of sub-regions by using a fault prediction model constructed based on a deep learning algorithm to obtain predicted fault sub-regions and predicted fault types; and according to the predicted fault sub-region and the predicted fault type, locating a predicted fault node, and carrying out early warning operation on the predicted fault node. The invention relates to the technical field of network operation and maintenance management, and solves the technical problems of insufficient fault pre-judgment capability and insufficient intelligence and automation degree in an existing network operation and maintenance management system.

The invention discloses an efficient short-wave and radio-frequency broadband converged communication digital signal processing system, belongs to the technical field of communication, and aims to solve the problem that defects exist when existing short-wave and radio-frequency broadband are used independently and in a converged mode. The frequency and bandwidth resource combination optimization system adopts a genetic algorithm to optimize frequency and bandwidth resource combination, and comprises a parameter setting module, a signal monitoring and data collection module, a fitness evaluation module, a genetic algorithm operation module, a termination judgment module and a signal processing and communication module. The method can better adapt to ionosphere changes, reduce signal fading and interruption, effectively cope with external interference and reduce the bit error rate through monitoring signal characteristics and reasonably allocating resources, carries out frequency and bandwidth resource combination optimization by comprehensively considering various factors by applying a genetic algorithm, avoids the problems of short-wave frequency band congestion and insufficient utilization of radio frequency broadband bandwidth, and improves the utilization rate of the radio frequency bandwidth. The fusion of two communication resources is realized, and the overall efficiency of the system is improved.

The invention relates to the technical field of intelligent control, in particular to an inspection robot control method and system based on deep learning, and aims to improve the reliability and safety of a power transmission system and reduce the risk of interruption and failure of the power system. The method comprises the following steps: carrying out unit division processing on a cable to be inspected to obtain a plurality of cable units; controlling an inspection robot to inspect the cable according to the inspection plan time, and obtaining state information of each cable unit by using the inspection robot; the state information comprises the number of cable strand breakage times in the cable unit, the average temperature of the cable, the average gray value of the cable image and the maximum sag distance; arranging the state information of the plurality of cable units collected by the inspection robot according to the connection sequence, and aligning the cable strand breaking times, the average temperature of the cable, the average gray value of the cable image and the maximum sag distance to obtain a cable state characteristic matrix;

The invention relates to the technical field of power fault monitoring, and particularly discloses a fault monitoring method and system for a military port power switching system, and the method comprises the steps: power switching equipment detection, power switching equipment performance analysis, military port power switching monitoring and military port power switching monitoring early warning. According to the method, the performance reduction or potential fault problem of each power switching device can be found in time, prevention measures are taken, the performance fault of the power switching device is avoided, the power switching device which operates abnormally can be accurately identified by monitoring the environmental parameters and the operation data of the power switching safety device in real time, and early warning is given in advance, so that the safety of the power switching device is improved. The risk of power system interruption or damage caused by equipment faults can be effectively reduced, and the high reliability of the military port power switching system is ensured.

The invention discloses an Internet of Things electric energy meter Bluetooth communication reliability realization method and system, and relates to the technical field of Internet of Things communication, and the method comprises the steps: an Internet of Things electric energy meter and Bluetooth communication equipment establish connection through a Bluetooth pairing process, carry out identity authentication through a secret key, initialize data transmission, carry out data transmission, and realize communication. In a data transmission process, an error correction and data recovery algorithm is utilized to reduce transmission errors, data during communication is monitored in real time, the monitored data is utilized to establish an intelligent prediction model, the communication quality is predicted, whether the quality meets requirements is evaluated according to the predicted communication quality, and a self-adaptive adjustment algorithm is utilized to adjust communication parameters. And monitoring equipment parameters and security threats in real time, and triggering a key dynamic updating mechanism to periodically update an encryption and authentication strategy according to a monitoring condition. According to the method, the problems of insufficient communication error rate, insufficient communication quality monitoring and prediction, insufficient communication parameter adjustment flexibility and low safety in the prior art can be solved.

The invention provides a crane hook swing detection system and method, and the system comprises a monitoring unit which is used for shooting a detection image of a hook in real time; the angle sensor is used for detecting the lifting angle of the main arm relative to the horizontal direction; the processor is mounted in the crane and is used for calculating a first swinging distance and a second swinging distance of the lifting hook swinging relative to the first direction and the second direction according to the detection image and the lifting angle; wherein the processor is further used for judging the first swing distance and the second swing distance, and when the first swing distance and / or the second swing distance are / is larger than a preset distance, a corresponding alarm instruction is sent out. And the swing amplitude of the lifting hook can be detected.

The invention discloses a cipher machine key smooth transition system based on a time window, and relates to the technical field of key distribution. Firstly, relevant operation data of the cipher machine are collected, time window parameters of key smooth transition of the cipher machine are obtained through analysis, whether the time window parameters of key smooth transition of the cipher machine need to be adjusted or not can be assessed, and the time window parameters are optimized and adjusted. The condition that the performance of the cipher machine is reduced due to improper key transition can be reduced, then the key transition process of the cipher machine is analyzed, the security of the key can be evaluated, and the key needing to be updated in advance can be found as early as possible, so that the key is updated before being possibly leaked, and the security of the cipher machine is improved. And finally, analyzing to obtain a key smooth updating result of the cipher machine, and updating the key according to the key smooth updating result of the cipher machine, so that the security of the cipher machine in the whole key life cycle can be improved, and security vulnerabilities caused by non-compliance of key updating are reduced.

The utility model discloses a streamline type audio test soundproof box and an audio automatic test assembly line. The streamline type audio test soundproof box comprises a box body, a first automatic door and a second automatic door. The first automatic door is installed on the first side of the box body, the first automatic door comprises a door plate, a supporting unit and a driving unit, the door plate is installed on the supporting unit, an idle wheel module is arranged on the door plate, the driving unit drives the door plate to move up and down, and when the door plate moves upwards in place, the idle wheel module is matched with the internal conveying line so as to support and transport a to-be-detected product into the box body; the second automatic door is installed on the second side of the box body, and the structure of the second automatic door is the same as that of the first automatic door. The streamline design is adopted, the device can be easily integrated into an automatic production line, interruption in the production process is reduced, the material flowing smoothness is improved, the overall structure is matched with the automatic production line, the automation degree is high, and the production efficiency is improved.

The embodiment of the invention provides a method and a system for labeling a presentation file based on gesture recognition. The method is applied to the field of computer technology and manuscript control, and comprises the following steps: acquiring gesture data of a user in real time; performing screen calibration on the gesture data of the user to obtain a real-time gesture position of the user, and mapping the real-time gesture position of the user to the presentation file in real time; performing gesture recognition on the gesture data of the user, selectively performing response interaction on a gesture recognition result of the user and the annotation module of the presentation file, and obtaining gesture interaction feedback of the user; and based on the gesture interaction feedback of the user, executing a labeling operation matched with the gesture interaction feedback in the presentation file. In this way, the demonstration efficiency and interactivity of the speaker are improved, meanwhile, richer and more attractive demonstration content is brought to audiences, and the audiences and the speaker can obtain more efficient, more visual and more user-friendly PPT demonstration experience.

The application provides an automatic driving system, an automatic driving redundancy control method, a device and a vehicle. The method is applied to an automatic driving system, the system comprising a plurality of automatic driving controllers, wherein each controller is used for outputting control instructions of a plurality of driving functions respectively; the method comprises: in the case that there is at least one fault controller in the plurality of controllers, determining a fault driving function and a normal driving function corresponding to each controller respectively; in the case that the number of fault controllers corresponding to each fault driving function is less than the total number of controllers, acquiring independent normal control instructions of the normal driving function corresponding to each controller output by each controller respectively, and determining a function weight of each controller for each normal driving function respectively; and performing fusion processing on the independent normal control instructions according to the function weight of each controller to obtain corresponding recombined control instructions, and sending the instructions to an actuator to control the vehicle to travel.

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.