33results about How to "Avoid data transfer" patented technology

The invention discloses a water environment management system based on cloud computing, and relates to the technical field of environment monitoring. In order to solve the problems that in the prior art, water environment emergencies cannot be responded in real time, the requirement for rapid early warning cannot be met, regular manual data monitoring is limited by manpower, material resources and environmental conditions, high-frequency and large-range coverage cannot be achieved, and therefore the continuity and integrity of monitoring data are affected. Monitoring data are collected and transmitted to the cloud computing platform in real time, continuous and high-frequency monitoring of the water environment is achieved, the water quality change can be rapidly recognized through the instant analysis capacity of the cloud computing platform, abnormal key monitoring points are accurately recognized, the data collection and transmission time interval is dynamically adjusted according to the abnormity severity degree and the influence range, and the monitoring accuracy is improved. Therefore, key information can be acquired in time, unnecessary data transmission is avoided, resources are saved, abnormal conditions are tracked and managed, and problems can be effectively solved.

The invention relates to the technical field of data processing, in particular to a relation cluster database dynamic partitioning method based on spatio-temporal data. The method comprises the steps of 1, performing multi-dimensional decomposition on spatio-temporal data records in a target relation cluster database, and constructing a feature matrix; calculating a load metric of each potential partition based on the feature matrix; 2, calculating a balance index based on the load measurement of each potential partition; calculating a partition recombination trigger threshold based on the balance index; and 3, judging whether partition recombination needs to be carried out or not by combining the partition recombination trigger threshold value and the data migration cost, and if yes, calculating a new partition boundary of each potential partition to complete partition recombination. The dynamic partitioning method not only can realize accurate load balancing, but also can ensure the reasonability of partition adjustment at the lowest migration cost.

The invention discloses a vehicle condition data real-time updating method, device and equipment and a storage medium, and relates to the technical field of Internet of Vehicles, and the vehicle condition data real-time updating method comprises the steps: obtaining target subscription data, target vehicle condition data and historical vehicle condition data; comparing the target vehicle condition data with the historical vehicle condition data to obtain a comparison result; when the comparison result is different, extracting a vehicle identification code from the target vehicle condition data; according to the vehicle identification code and the target subscription data, screening from the target vehicle condition data to obtain to-be-pushed data; and pushing the to-be-pushed data to a mobile terminal through a publish-subscribe normal form message protocol, so that the mobile terminal updates the vehicle condition data on a mobile terminal interface according to the to-be-pushed data. The vehicle condition data can be accurately displayed in real time, a user can master the latest state of the vehicle in real time, the real-time monitoring capability of the user on the vehicle state is enhanced, and the user stickiness is improved.

The invention discloses a data monitoring system based on power telecontrol, which comprises a sensor module, a preprocessing module, a transmission analysis module, a data processing module, a data transmission module, a data receiving module, a data verification module, a reacquisition module and a monitoring display module, and relates to the technical field of data monitoring. According to the data monitoring system based on power telecontrol, through an intelligent transmission analysis mode, unnecessary data transmission is avoided, network resources are saved, only operation data exceeding the standard fluctuation difference are transmitted, the data transmission amount is greatly reduced, the communication cost and the system burden are reduced, and the transmission efficiency is improved; different attribute operation parameters of a plurality of time nodes in a specified period are preprocessed, an accurate fluctuation interval and a standard fluctuation difference are calculated, the operation condition of a controlled station can be reflected more accurately, and the accuracy and reliability of data processing are ensured based on scientific variance calculation and comparison.

The invention discloses an information indication method and device and a readable storage medium, relates to the technical field of communication, and aims to ensure transmission synchronization among a plurality of different target objects corresponding to a multi-modal service. The method comprises the following steps: under the condition that a first event occurs in a first target interface, sending first indication information to a second terminal through a first interface; wherein the first indication information is used for indicating that a target object is suspended or released at a second target interface, the first interface is a direct communication interface between the first terminal and the second terminal, and the second terminal comprises one or more terminals having an association relationship with the first terminal. According to the embodiment of the invention, transmission synchronization among a plurality of different target objects corresponding to the multi-modal service can be ensured.

The invention relates to the technical field of electronic transformers, and discloses a passive wireless high-reliability electronic transformer data reporting method, system and device and a medium, and the method comprises the steps: employing different reporting strategies for different types of transformer nodes when the residual electric quantity is lower than a threshold value; and the timeliness of data reporting and the power consumption are effectively balanced. For a mutual inductor node undertaking a core parameter monitoring task, basic report data is sent at the lowest report frequency, stable transmission of core data is ensured, and excessive power consumption is avoided at the same time; and for non-core parameter monitoring task nodes, temperature, voltage and current data are sent at a preset reporting frequency, so that the electric quantity loss is further reduced while important data are reported. And through a mode of temporarily storing other collected data, unnecessary data transmission is avoided, and the use efficiency of the electric quantity is improved. The reliability and the stability of the system are improved.

The invention belongs to the technical field of ocean observation, and particularly relates to a real-time tide measurement method and system of a single Beidou height measurement buoy without a base station, and the method carries out buoy positioning and height measurement through a single Beidou navigation satellite without a shore-based reference station, thereby achieving high-precision tide real-time monitoring. The technology is widely applied to the fields of ocean tide monitoring, ocean dynamics research, ocean environment monitoring and early warning, ocean engineering and the like, and is particularly suitable for a sea area without a base station or far away from a shore base. By reducing the cost and improving the efficiency, the invention provides a reliable and low-cost solution for the marine monitoring system.

The utility model relates to the technical field of earphones, and discloses a multi-mode switching circuit and an earphone, and the multi-mode switching circuit comprises a USB module which is used for outputting audio data; the voltage detection module is used for detecting the current voltage value of the battery and outputting a control signal according to the current voltage value; the main control chip is electrically connected with the USB module and is used for receiving the audio data output by the USB module; and the switching module is connected between the USB module and the main control chip, is connected with the output end of the voltage detection module, and is used for controlling the disconnection or connection of a transmission line of the audio data according to the control signal. According to the utility model, the switching module is adopted to cope with different voltages of the earphone battery, the battery is prevented from generating large heat energy in the earphone use process, the discomfort of contact between the earphone and the skin is reduced, the use comfort of the earphone is improved, and the switching module can effectively protect the earphone battery and effectively ensure the service life of the battery.

The embodiment of the present invention discloses a GPU virtual sharing system based on multi-system isolation, which divides multiple isolated systems into GPU control domains and GPU application domains, wherein the GPU control domain includes: a GPU control description file for describing the hardware information of GPU hardware resources and the result of allocating GPU hardware resources; a GPU control description information linked list for describing the GPU hardware resource information used by each GPU application domain; a GPU control module for receiving a GPU application data packet sent by the GPU application domain, allocating idle GPU hardware resources for the GPU application domain, returning a GPU hardware resource allocation data packet to the GPU application domain, and updating and maintaining the GPU control description information chain and the GPU control description file according to the GPU application data packet. The corresponding GPU hardware resources can be transparently transmitted to the GPU application domain through VFIO, thereby avoiding a large amount of data transmission between different system domains during use, as well as the massive interruptions generated, thereby improving the utilization rate of GPU hardware resources.

This application discloses a storage system, a control method for the storage system, and an apparatus for the storage system, relating to the field of computer technology. The storage system includes a node scheduler and multiple processor nodes, each processor node including a processor core, a processor port, and candidate storage devices. The node scheduler is used to allocate a target processor node to a target request based on the received information of the target request and the target mapping relationship. The target processor core is used to determine the operation position of the target request based on the request information of the target request and to generate a target instruction based on the target request and the operation position. The target storage device is used to execute the target instruction and generate execution information of the target instruction. The target processor core is also used to update the metadata database based on the execution information and send the execution information to the sending interface. This application solves the technical problem of low response rate of the storage system to read and write requests, and achieves the technical effect of improving the response rate of the storage system to read and write requests.

The invention relates to the technical field of data management, and discloses a data synchronization method and device, a server, a storage medium and a program product. The method comprises the following steps: acquiring a source cluster and a target cluster to be subjected to data synchronization, and data configuration information; the source cluster and the target cluster are clusters starting different security modes; performing data security authentication on the source cluster and the target cluster based on the data configuration information, and determining whether the source cluster and the target cluster pass the data security authentication; and if the source cluster and the target cluster pass the data security authentication, reading the to-be-synchronized data from the source cluster, and writing the to-be-synchronized data into the target cluster. By implementing the technical scheme of the invention, data synchronization between clusters in different security modes can be realized.

The present disclosure discloses a communication technology and system thereof for a 5G communication system that will support a higher data transmission rate than a 4G system in combination with IoT technology. Based on 5G communication technology and IoT-related technology, the present disclosure can be applied to smart services (e.g., smart homes, smart buildings, smart cities, smart cars or connected cars, healthcare, digital education, retail, safety and security-related services, etc.). The present disclosure discloses a method and apparatus for driving a PDCP layer device during data decompression failure in a next-generation mobile communication system.

The invention discloses a touch data transmission optimization system and method based on a USB interface and a storage medium, relates to the technical field of data transmission, and solves the technical problem that when an OPS box transmits touch data through the USB interface, the touch feedback efficiency is low due to the fact that the OPS box may be affected by delay and errors. A transmission interface is selected according to touch content and USB interface data; obtaining a feedback prediction label through the feedback prediction model; dynamically adjusting the current prediction cache region according to the feedback prediction label and the previous prediction cache region; searching corresponding feedback data according to the touch content; according to the technical scheme, the feedback interface is selected according to the feedback data and the USB interface data, the touch data touched at the same time is subjected to priority division, transmission and feedback are conducted according to the priority, a dynamic prediction cache region is arranged, frequent data transmission with a database is avoided, the response speed of the feedback data is increased, and then the touch feedback efficiency is improved.

The invention belongs to the field of intelligent measurement, and discloses a load identification capability remote test method and a related system, the remote test is realized through network data uploading, the remote test does not need field operation, the tedious field deployment and debugging work are avoided, the inconvenience of data transmission and equipment carrying is avoided, and the test efficiency is improved. The testing time is greatly shortened, the testing efficiency is improved, and the cost is remarkably reduced through remote transmission and analysis. According to the invention, through a transmission link with a safe state, a tester does not need to arrive at a load location, and loads with scattered geographic positions can be covered, so that the problem of regional limitation is solved. According to the method, the historical data and the real-time data are encrypted in the transmission process, so that leakage or tampering of the data in the transmission process is avoided, and the security of the data is ensured.

The invention discloses a data monitoring system based on electric power telecontrol, a sensor module, a preprocessing module, a transmission analysis module, a data processing module, a data transmission module, a data receiving module, a data verification module, a re-acquisition module and a monitoring display module, and the invention relates to the field of data monitoring technology. The data monitoring system based on electric power telecontrol avoids unnecessary data transmission and saves network resources through an intelligent transmission analysis method, and only transmits operation data exceeding the standard fluctuation difference, which greatly reduces the data transmission amount, reduces the communication cost and system burden, improves the transmission efficiency, preprocesses the different attribute operation parameters of multiple time nodes within a specified period, calculates the accurate fluctuation range and the standard fluctuation difference, can more accurately reflect the operation status of the controlled station, and ensures the accuracy and reliability of data processing based on scientific variance calculation and comparison.

The invention relates to the technical field of geological disaster emergency, and discloses a geological disaster emergency evacuation path intelligent planning system based on edge calculation. The system comprises a terrain monitoring layer, a risk assessment layer, a path deduction layer and an evacuation control layer. The terrain monitoring layer collects a multi-dimensional terrain data flow of a disaster area in real time through an edge computing node; the risk assessment layer fuses the historical catastrophe model and the multi-dimensional topographic data flow to carry out geological stability calculation, and generates a dynamic risk distribution map; the path deduction layer generates an initial evacuation path network through a self-adaptive optimization algorithm in combination with the dynamic risk distribution map and a preset evacuation constraint condition; and the evacuation control layer converts the initial evacuation path network into a navigation instruction set and drives terminal execution equipment to implement evacuation guidance. According to the system, the terrain change of a disaster area can be mastered in real time, the risk is accurately evaluated, an evacuation path fitting the reality is generated, personnel evacuation is effectively guided, and the efficiency and safety of emergency evacuation of geological disasters are improved.

The embodiment of the invention provides a data synchronization method and device, equipment and a medium, and relates to the technical field of data processing. When a source database and a target database are in a data synchronization state, the data synchronization method provided by the embodiment of the invention comprises the following steps: firstly, determining a first dynamic data table of the source database and a second dynamic data table of the target database; and then, according to the data synchronization identifier, identifying to-be-synchronized write operation data which is not synchronized to the second dynamic data table from the first dynamic data table, and only performing data synchronization on the to-be-synchronized write operation data. Therefore, according to the data synchronization method provided by the embodiment of the invention, only the to-be-synchronized write operation data can be selectively synchronized, unnecessary data transmission is avoided, and a calculation-intensive task for performing de-duplication processing is also avoided, so that the occupation of calculation resources is reduced, the time of a data synchronization process is shortened, and the data synchronization efficiency is improved.

The invention provides a method and system for switching an emergency command and dispatch interface, and relates to the technical field of management systems. The method comprises: using the top-level container of the interface as a root function module and the function modules required by the interface as sub-function modules to construct an interface tree structure; using the root function module as a basic coordinate system and using a layered mounting technology to mount other sub-function modules on the root function module with relative coordinates; obtaining a switching instruction for an emergency command and dispatch scene interface; loading a target root function module corresponding to a target scene interface of the emergency command and dispatch, and updating a reference path of the target root function module; using a dynamic detail level strategy to dynamically adjust the data sampling frequency of each sensor in each sub-function module according to the distance from the place where the emergency event occurs; loading the underlying data required by each sub-function module in real time according to the data sampling frequency of each sensor; and displaying each sub-function module in the target scene interface of the emergency command and dispatch.

The utility model discloses a temperature diagnosis system for a cable head, which comprises a current sensor, a wireless temperature sensor, an environment temperature sensor and a signal processing unit, the current sensor is arranged on a protection layer of the cable head to collect cable load current data, and the wireless temperature sensor is arranged at the position of the cable head to measure the temperature of a cable metal layer. The wireless temperature sensor is in signal connection with the current sensor, the current sensor sends a signal to the wireless temperature sensor to wake up the wireless temperature sensor to perform temperature measurement when detecting current abnormity, and the wireless temperature sensor is in a sleep state after sending temperature information to the signal processing unit; the environment temperature sensor is arranged on the outer surface of the cable to measure the current environment temperature, and the signal processing unit is connected with the wireless temperature sensor and the environment temperature sensor to compare the temperature detected by the wireless temperature sensor with the temperature detected by the environment temperature sensor. And when the temperature difference between the two exceeds a temperature threshold, an alarm is triggered.

One or more embodiments of the present specification provide a data processing method, system, device and storage medium, the method is applied to a computing platform; a user-defined function corresponding to a machine learning task is deployed in the computing platform; wherein the user-defined function contains initialization logic and data processing logic corresponding to the machine learning task; the method comprises: obtaining to-be-processed data corresponding to the machine learning task; calling the initialization logic in the user-defined function to obtain a machine learning model corresponding to the machine learning task stored in a storage platform connected to the computing platform; further calling the data processing logic in the user-defined function to use the machine learning model to process the to-be-processed data, and storing the data processing result to a database connected to the computing platform.

The present invention discloses a data backup performance optimization method based on machine learning, which specifically relates to the field of data backup technology, and comprises the following steps: step one, collecting backupable information of a target backup system; step two, arranging the collected backupable information and establishing a neural network model; step three, collecting data information to be backed up; step four, analyzing the data information to be backed up and the backupable information, and determining whether the data information to be backed up is backed up in its entirety or separately according to the analysis result; the present invention can collect the backupable information of a target backup system, and according to the analysis result of the data information to be backed up and the backupable information, determine whether the data to be backed up is backed up in its entirety or separately, thereby avoiding unnecessary data transmission, reducing backup time, and excluding paths that may cause data backup loss during path selection according to the established neural network model, thereby optimizing data backup performance.

The invention provides a cross-cloud increment synchronization method which can be applied to the field of cloud computing or big data. The method comprises the following steps: in response to an increment synchronization request of a source public cloud accessing a log analysis platform, collecting an access log on the source public cloud in real time; obtaining an access log newly generated by the source public cloud according to a preset time window through an incremental synchronization service to generate an ith source list file; checking the consistency of the ith source list file and each target list file stored in the target public cloud through a difference comparison algorithm; and in response to inconsistency between the ith source list file and each target list file, synchronizing the ith source list file to the target public cloud. The invention further provides a cross-cloud increment synchronization device and equipment, a storage medium and a program product.

The present application discloses an information transmission method, device, multi-card terminal and readable storage medium, which belongs to the field of communication technology. The multi-card terminal includes a first UE and a second UE, and the method includes: the first UE determines the first information that supports non-3GPP transmission; the first UE sends the second information to the first network in a non-3GPP transmission mode and / or receives the second information from the first network in a non-3GPP transmission mode through the data connection of the second UE; the first network is the network where the first UE resides, the first information includes the information type that supports non-3GPP transmission, and the information type of the second information belongs to the information type that supports non-3GPP transmission. In this way, for the determined information type, the idle or inactive UE can transmit information to the network in a non-3GPP transmission mode through the data connection of the connected UE, avoiding interrupting the connection and data transmission of the connected UE.

The invention belongs to the technical field of traffic monitoring, and particularly relates to a traffic monitoring method and a traffic monitoring system based on unmanned aerial vehicle image recognition, and the method comprises the steps: firstly, combining real-time traffic data, planning an optimal path through an A * algorithm, and carrying out the dynamic adjustment; then, an air monitoring network is formed by adopting a Mesh ad hoc network technology, elastic expansion and automatic position covering are supported, and a blind area is avoided; meanwhile, the state of the unmanned aerial vehicle is monitored in real time, automatic homeward voyage is achieved in low electric quantity, and a standby vehicle is dispatched to ensure stable image acquisition; based on this, the unmanned aerial vehicle cluster collaborative networking and dynamic position covering mechanism is adopted, and the regional priority resource allocation strategy is combined, so that the method has the advantages of realizing comprehensive monitoring of blind areas covered by traditional fixed equipment, such as suburban roads, urban and rural joint road sections, mountain roads and the like, and eliminating traffic monitoring blank areas.

The utility model relates to the technical field of tower crane perpendicularity detection, in particular to an attached tower crane perpendicularity detection device, which comprises a first tower crane standard knot positioned at the top end of a tower crane, a second tower crane standard knot positioned at the bottom end of the tower crane, a detection part and a protection piece, the gravity part is mounted on the first tower crane standard knot and naturally droops by utilizing the gravity of the gravity part, and the gravity center line of the gravity part is parallel to the center line of the first tower crane standard knot; the detection part is installed on the second tower crane standard knot, the detection part is perpendicular to the center line of the second tower crane standard knot, and scale marks used for detecting the deviation angle and direction of the gravity part in the vertical direction are arranged on the detection part; the protection part is detachably connected with the gravity part and the detection part and is used for protecting the gravity part and the detection part. The device is simple in structure and high in efficiency of measuring and verifying the verticality of the tower crane.

The invention discloses a wireless temperature vibration monitoring system and a control method, and mainly relates to the technical field of industrial equipment state monitoring and fault diagnosis. The wireless temperature vibration monitoring system comprises a plurality of wireless temperature vibration sensors, a LoRa gateway and an upper computer, the plurality of wireless temperature vibration sensors and the LoRa gateway are in bidirectional communication through wireless LoRa, and the LoRa gateway and the upper computer are in bidirectional communication through a wired Ethernet. The control method comprises the following steps: determining an operation process and a reporting period of the wireless temperature vibration sensor; the calculation process in the operation process is analyzed and processed; analyzing and processing the reporting process in the operation process; and analyzing and processing the dormancy process in the operation process. The method has the beneficial effects that the operation efficiency of the monitoring system is improved while a certain self-adaptive adjustment capability is realized.

The invention discloses a multi-focus image fusion and depth recovery method based on a Laplacian pyramid, and the method comprises a Laplacian pyramid construction module which is used for constructing a multilayer Laplacian pyramid expression for an input multi-focus image sequence {Ik} k = 1N (N is the number of images); the multi-focus image fusion module is used for fusing the images at different focus positions based on a fusion strategy of the Laplacian pyramid, and reconstructing a fused image through inverse transformation of the Laplacian pyramid; the focusing degree evaluation module is used for calculating the focusing degree of each image in the image sequence at each pixel position for depth estimation; and the depth recovery module is used for recovering the three-dimensional depth information of the scene based on the focusing degree evaluation result and the servo altimeter data.

The invention discloses a follow-up control method and device for a vehicle-mounted pantograph, a vehicle and a storage medium, and relates to the technical field of traffic transportation, and the method comprises the steps: obtaining the position information of a contact net line in contact with a target carbon contact strip in the pantograph; wherein the position information comprises triggering condition signals output by a preset number of proximity switches arranged on each target carbon sliding plate, the proximity switches are used for outputting corresponding triggering condition signals according to the sensing condition of the overhead line system, and the preset number is larger than or equal to 2; determining a transverse following rotation angle of the pantograph according to the position information; according to the transverse following rotation angle, a servo motor of the pantograph is controlled to rotate correspondingly; according to the invention, the proximity switch with lower cost and higher reliability is used as a sensor, so that the product cost of the pantograph can be reduced, and the reliability of follow-up control is enhanced; and a trigger condition signal of the proximity switch is used as control input, so that a complex data transmission process is avoided, and the complexity of the system is reduced.

The invention provides a global map construction method and device, equipment, a medium, a program product and a vehicle. The method comprises the following steps: inputting a current frame image of a multi-path camera arranged on acquisition equipment into a pre-trained road marking perception model to obtain first vector map data which is output by the road marking perception model and comprises a road marking instance; and generating a global map according to the first vector map data and historical vector map data corresponding to historical frame images of the multiple cameras. According to the method provided by the invention, the current frame images of the multiple cameras are fused into the integral map data through the end-to-end road marking perception model to obtain the first vector map data, so that data transmission and synchronous processing of the multiple cameras are avoided in the process of generating the global map based on the first vector map data; and the efficiency of constructing the global map is improved.

The embodiment of the present invention discloses a federated learning system, including: a collaboration end and at least two participating ends, the participating ends include a label holding end and at least one feature holding end, the collaboration end and each participating end are connected in communication, and the training of the federated learning system includes: determining a participating end as the current model update end; the current model update end obtains model update parameters, determines an encrypted gradient value according to the model update parameters, and sends the encrypted gradient value to the collaboration end, wherein the model update parameters are determined by the label holding end according to the local model parameters of the previous current model update end; the collaboration end determines the model update direction according to the encrypted gradient value, and sends the model update direction to the current model update end; the current model update end updates the local model parameters according to the model update direction. By updating the local models of the participating ends one by one, it is avoided that each participating end simultaneously transmits a large amount of data to the collaboration end, thereby improving the efficiency of federated learning.