48results about How to "Solve the lack of computing power" patented technology

A mechanism for controlling the hardware resources on a blade server, and thereby limiting the power consumption of the blade server is disclosed. The enforceable hardware resources that are controlled include the base frequency of the central processing unit (CPU) as well as power to individual banks of physical memory, for example dual-inline memory modules (DIMMs). The hardware resources are tuned in dependence on actual server utilization such that applications running on the blade only have the allocated hardware resources available to them. Deactivated hardware resources are powered off and are so ‘hidden’ from the operating system when they are not required. In this manner, power consumption in the entire chassis can be managed such that all server blades can be powered on and operate at higher steady-state utilization. The utilization of the powered on resources in a blade center is also improved.

A tracker architecture for Global Positioning System (GPS) receivers is disclosed. A typical tracker comprises an RF front end and GPS architecture. The architecture comprises a bus structure, a Central Processing Unit (CPU) core, cache, RAM, and ROM memories, and a GPS engine that comprises a receiving, tracking, and demodulating engine for GPS and Wide Area Augmentation Service (WAAS) signals. The GPS architecture can couple to at least two different protocol interfaces via the bus structure, where the protocol interfaces are commonly used in different applications.

The invention discloses a multi-axis motion control card with absolute coded disk reading function, which comprises eight functional modules, wherein the information processing module is the core of the motion control card, receives state information of other modules, performs the corresponding control algorithms, judges system states and outputs control signals; the information processing module is connected with other seven functional modules; the logic protection module detects and judges the state of the system to ensure safe and reliable operation of the system; the local area network control module is utilized to the communication among a plurality of cards; the data exchange module is utilized to the real-time communication between the motion control card and an upper computer; the analog quantity signal monitoring module receives the speed of the controlled motor and torque analog signals; the coded disk signal reading module receives the motion position information of the controlled motor; the position-control pulse width modulation wave signal producing module outputs position control signals; and the analog control quantity output module outputs the analog control signals of the speed and the torque. The multi-axis motion control card is suitable for the control of multi-axis linkage equipment.

The invention discloses an intelligent energy consumption service cooperative control system and method. The system comprises an energy controller, an edge computing terminal and a cloud service platform. The energy controller captures equipment operation characteristics, identifies equipment operation conditions and elastically sends a control instruction to the equipment; the edge computing terminal configures a user energy system in a self-adaptive manner, identifies user energy consumption behavior characteristics, and generates an equipment operation control strategy in a self-adaptive manner through cooperative interaction with each energy controller in the user energy system; and the cloud service platform customizes a top-layer operation control strategy for different users according to the demand elements, pushes the top-layer operation control strategy to the user side edge computing terminal, and completes user interaction and background maintenance. The problems that a traditional energy monitoring terminal is insufficient in control capacity, a user side self-adaptive control strategy generation capacity is insufficient, and an intelligent energy consumption cloud service platform cannot control energy consumption equipment in real time are solved, and a cloud-side-end system framework is innovatively provided for an intelligent energy consumption system.

Embodiments of the invention provide a distributed cloud system and a monitoring method. The distributed cloud system includes multiple cloud platforms that are distributedly connected, and each of the cloud platforms is a node; all the nodes sequentially perform monitoring in a circular shape; the nodes are divided into a master node and multiple computing nodes, wherein the master node is used for sending synchronous data instructions to the multiple computing nodes of the distributed cloud system, so that the multiple computing nodes perform data synchronization according to the synchronousdata instructions, if computing resources of target computing nodes are insufficient to process a target task, the target computing nodes select other computing nodes that have backed up the computing resources of the target computing nodes to process the target task; and the computing nodes are used for performing calculation or data storage on the target task submitted by a user. The embodiments of the system and the method solve the problem that when the user uses a single cloud platform in a resource-constrained environment, the computing power is insufficient due to insufficient resources in the single cloud platform.

The invention discloses a domestic computer cluster-based parallel computing system and method. The method comprises the steps of setting a control node used for receiving a job submitted by a user, setting a total divisible parallel task quantity of the job to be m, and according to the demands of the job, determining required computing node quantity N and computing core quantity n; distributingthe job to N computing nodes, performing parallel computing by n computing cores, and after the n computing cores finish calculation, transmitting n intermediate calculation results to a master computing node for performing summarization, wherein each computing core is in charge of computing m / n computing tasks; classifying control nodes into a master control mode and standby control nodes, enabling the master control node and the standby control nodes to manage and monitor states of the cluster computing nodes and a running state of the job at the same time, and when the master control node has a software fault or hardware crashes, taking over work of the master control node by the standby nodes; and adaptively installing domestic Kylin operating systems in the control nodes and the computing nodes.

In a tracking device 10, a crescent-shaped PCB 12 partially encircles a battery 15 to minimize thickness of the device 10. A speaker 23 and an LED 24 emit alerts upon command of a control apparatus 37 or in response to motion or temperature sensed by sensor 25. A local network 40 has one hub 41 to tracking devices 33 and a wider area network 45 has multiple hubs for more detailed tracking of devices 33. A wide area network 50 tracks devices anywhere and stores data of each tracking device including its last known position and its sensor data.

Provided is a smart golf ball comprising: an inner electronics core, the inner electronics core comprising: a microcontroller with memory and at least one processor; a power supply in communication with the microcontroller; and an RF transmitter / receiver in communication with the microcontroller; an outer core surrounding the inner electronics core; and a skin layer covering the outer core. Also provided is a data processing system configured for golf ball tracking, comprising: a host computing system; a display in communication with the host computing system; one or more smart golf balls, each comprising a Real Time Location System (RTLS) Ultra-wideband (UWB) transmitter / receiver and a corresponding ID, in communication with the host computing system; three or more beacons, each comprising an RF transmitter / receiver, in communication with the host computing system; and a golf ball tracking module.

The invention relates to the technical field of smart home, and discloses a cleaning robot control method and system. The method comprises the steps of respectively carrying out the global position distance obtaining, local obstacle avoidance information collection and self angle collection, building a global coordinate system, obtaining the position information of each obstacle, carrying out thepreprocessing of obstacle data, and obtaining the position information of each obstacle; representing the indoor environment map through a grid method, matching and designing the sizes of sub grids, obtaining a global total path and splitting the global total path into a continuous grid point set, establishing a local coordinate system, obtaining local obstacle position information, controlling and adjusting the advancing direction of the robot, and executing sequential traversal of the grid points according to the global total path. The cleaning robot can be controlled to carry out full-coverage sweeping, obstacles can be found in real time, the obstacle avoidance capacity is high, computing resources can be saved, the actual working interval can be traversed efficiently at low energy consumption, collision-free and low-path-repetition-rate efficient sweeping is achieved, and high practical value and wide application prospects are achieved.

The invention provides a medicine supply chain management system based on a block chain and edge computing. The medicine supply chain management system comprises a node information uploading module, adata storage module, a data uploading module, a public and private key and identifier storage module, an identity verification module, a public and private key pair distribution module, a node identification module, an edge server deployment module, an edge server information storage module, an edge server processing module, a storage module, a consensus module and an intelligent contract module.According to the invention, the computing task required for the blockchain node to reach the consensus is completed by the edge server, so that the problem of insufficient computing power of the blockchain node is solved, and the management efficiency of the medication supply chain is improved; and meanwhile, an improved k-means algorithm is utilized to deploy the optimal position and the optimalnumber of edge servers for the blockchain node, so that the resource utilization rate of the edge servers is improved.

The invention relates to the field of neural network algorithm hardware implementation, and discloses a quantitative calculation method and system for a convolutional neural network. The quantitativecalculation method comprises the steps of: allowing all calculation layers of a convolutional neural network to be respectively matched and quantized in a multi-valued quantification mode and a multi-bit quantification mode according to the calculation precision and calculation capability requirements, allowing the calculation layers after multi-bit quantification to be mapped to a high-precisionarray, and carrying out high-precision calculation; and mapping the calculation layers after multi-bit quantification to a high-calculation-power array, performing high-calculation-power calculation,and completing calculation of the convolutional neural network according to a high-precision calculation result and a high-calculation-power calculation result in combination with non-calculation layers. According to the invention, the reasoning speed of the convolutional neural network is increased; the accuracy is ensured; meanwhile, the network power consumption is reduced as much as possible;and high practical value and wide application prospect are achieved.

The invention relates to a heat supply network real-time data warehouse system. The system comprises a data access module, a real-time calculation module, a big data storage subsystem and a data application module; the data access module is used for carrying out partition storage on acquired data in a standard format; the real-time calculation module is used for carrying out detail summarization and application processing according to the acquired data and outputting a summarization result and an application processing result to the big data storage subsystem, the detail summary is a process of associating the unit real-time data with the related dimension data, and the application processing is a process of performing data processing according to business requirements; the big data storage subsystem is used for storing the data output by the real-time calculation module by adopting a data model; and the data application module is used for carrying out multi-dimensional analysis, artificial intelligence application or business intelligence application on the data stored in the big data storage subsystem. Integration of heat supply network data can be realized, and standardized multi-dimensional analysis of the data is realized.

The invention discloses a data organization model for filing based on a human, an event and an object, and belongs to the field of data organization. The model works by the steps of 1) classifying industrial data according to human, event and object, and performing data collision, cleaning and integrating to create a data organization mode; 2) decomposing various data, analyzing and combing associated information of data, and creating a data relationship network with some specific human, event or object as the center; 3) building a cloud platform and a big data processing platform, storing and integrating the industrial data according to HBase storage and NoSQL database. Compared with the prior art, the data organization model for filing based on the human, the event and the object has the advantages that data can be quickly and efficiently searched, and the associated information can be obtained, so that the problem of disordered industrial data and difficult filing can be solved, the data sharing and data mining are promoted, a great support is provided for the service optimization and innovation for users, and as a result, the service quality can be improved, and the customer satisfaction is increased.

The invention discloses a cloud-computing-based large scale curved surface reconstruction system. The system comprises a cloud computing platform deployed with a Hadoop framework. The cloud computing platform includes a main node and a sub-node. The main node is provided with a Hadoop user terminal, a NameNode element, and a JobTracker element. The sub-node is provided with a DataNode element and a TaskTracker element. According to the invention, through the introduction of cloud computing into a curved surface reconstruction system and through the use of the advantages of cloud computing such as high calculation capability and high system parallelism, the curved surface reconstruction capability of a curved surface reconstruction system is increased greatly. The reconstruction system has high expandability, utilizes resources properly and achieves low coupling. With the system, the problems with the insufficiency in single machine's memory and computing ability and the topological merging of the curved surfaces are solved.

The invention discloses a gas monitoring calibration method and system based on linear regression, and relates to a gas monitoring calibration method based on linear regression, which comprises the following steps: S11, acquiring a gas mixing monitoring value of an environment where monitoring equipment is located; s12, converting the obtained mixed monitoring value into a part value of the gas based on linear regression; s13, comparing the converted gas part value with standard source data, and generating a new gas part value according to a comparison result; and S14, carrying out calibrationprocessing on the obtained new part value to obtain final part information. Mutual interference of common monitoring gas factors (sulfur dioxide, nitrogen dioxide, ozone and carbon monoxide) in the atmospheric environment is greatly improved, and accurate part information is obtained; and moreover, the problem of monitoring the sudden change impact response of single gas in the atmospheric environment is solved, and the monitoring accuracy of the impact peak value is greatly improved.

The invention discloses a forest firework identification intelligent cloud system based on distributed computing. The system includes a front end, a cloud, and a mobile terminal. The front end includes a front-end network communication module, a front-end image acquisition module, a front-end image acquisition auxiliary module, and a front-end power supply module. The cloud includes a network communication module, a central processing module, a parallel computing module storage module, and an alarm module. A number of front ends are set up at various monitoring points in the forest area to achieve feature extraction and transformation of the acquired real-time image. A cloud connects to multiple front ends through a forest area LAN or mobile Internet, obtains data and sets up a deep neuralnetwork for identification. The feature distribution of the video information with a large amount of data is extracted and transformed at the front end. The small amount of information after the feature transformation can be transmitted in real time without being affected by the low-speed data link. The amount of cloud computing is greatly reduced, and the recognition rate is also achieved and greatly improved in a complex environment.

The invention discloses a ciphertext data set intersection calculation method, a device, a system, a client, a server and a medium, and the method comprises the steps: encrypting a plaintext data setaccording to a public key of a user, obtaining a ciphertext data set, and transmitting the ciphertext data set to the server; generating authorization information of the authorization level accordingto the authorization level selected by the user; sending the authorization information to a server, sending the ciphertext data set and the authorization information to a server, so that the server performs calculation according to the ciphertext data set and the authorization information to obtain an intermediate value set, performing intersection calculation on the ciphertext data sets of the two users according to the intermediate value set of the two users conforming to the authorization level to generate a ciphertext data set intersection, and sending the ciphertext data set intersectionto clients of the corresponding users; receiving a ciphertext data set intersection sent by the server; and decrypting the ciphertext data set intersection according to the ciphertext data set intersection and the private key input by the user to obtain a plaintext data set intersection. On the premise of ensuring the safety, the flexibility is remarkably improved.

The invention discloses a panoramic stitching method based on unmanned aerial vehicle cloud server calculation. The panoramic stitching method comprises the steps that S100, a mobile terminal sends apanoramic stitching instruction to an unmanned aerial vehicle in a wireless transmission mode; s200, the unmanned aerial vehicle receives the panoramic stitching instruction, and obtains a to-be-stitched image through a pan-tilt camera of the unmanned aerial vehicle; s300, the unmanned aerial vehicle sends the acquired images to be spliced to a cloud server through wireless transmission; s400, thecloud server receives the image sent by the unmanned aerial vehicle, and calculates a panoramic image through a panoramic stitching algorithm; s500, the cloud server transmits the panoramic image toa mobile terminal in a wireless transmission mode; and S600, the mobile terminal displays the received panoramic image spliced by the unmanned aerial vehicle to a user. The cloud server is used for splicing a large amount of image data, the problem that the task of image splicing cannot be completed due to insufficient calculation power of the unmanned aerial vehicle end is solved, the calculationpower of the unmanned aerial vehicle processor is improved, and the calculation performance of the unmanned aerial vehicle is improved.

The invention provides an automobile industry customer ID identification system and method, and a medium, and the system comprises a basic data processing module which carries out collection, integration and standardization of ID data of a customer main engine plant, builds a non-marketing list library, and is used for ID information filtering; a ID repairing module used for analyzing the ID dataaccording to a machine learning algorithm and replacing a wrong ID with a correct ID; an ID intimacy calculation module used for calculating the intimacy between IDs in sub-networks; a transfer relationship chain judgment module used for updating the ID pairing relation according to the intimacy between the IDs; and a visual display module used for carrying out man-machine object layering on the ID relationship in the sub-network and carrying out visual display on the topological structure of the sub-networks so as to realize query of sub-network data and identification of the ID. An SIL library is adopted to clean ID data, so that the ID relationship network structure is simplified, the subsequent data processing magnitude is reduced, and the problem of low calculation efficiency of an original graph is solved.

The invention provides a cloud multi-connected air conditioning unit and a control method thereof. The cloud multi-connected air conditioning unit comprises at least one air conditioning unit, a cloud computing platform and a cloud multi-connected management platform, wherein the air conditioning unit comprises at least one air conditioning outdoor unit; each air conditioning outdoor unit is configured to collect and report operation parameters of the air conditioning unit in real time and receive a control instruction; the cloud computing platform is configured to calculate the frequency adjustment coefficient of each air conditioner outdoor unit based on the operation parameters, report the operation parameters and the frequency adjustment coefficient, and issue a frequency adjustment control instruction to the corresponding air conditioner outdoor unit, so that the air conditioner outdoor unit realizes frequency adjustment according to the received frequency adjustment control instruction; and the cloud multi-connected management platform is configured to store the operation parameters and the frequency adjustment coefficients and monitor the operation state of each air conditioner outdoor unit in real time. According to the control method, remote control over the frequency of each air conditioner outdoor unit is achieved, the operational capability and accuracy of frequency control over each air conditioner outdoor unit are improved, and the management and maintenance cost of each air conditioner outdoor unit is reduced.

The invention discloses a cloud server network system of a multi-rotor aircraft and a control method thereof. The system is composed of a remote management center, a cloud server, remote service stations and multi-rotor aircrafts. The multiple remote service stations are fixed at various poles. The multi-rotor aircrafts equipped with microprocessors and various sensors stop at the remote service stations and are used for performing various tasks. The multi-rotor aircrafts establish communication connection with the remote management center by the remote service stations; and the remote management center and the cloud server are connected. According to the invention, the remote management center carries out management scheduling, the cloud server analyzes and processes to-be-processed information quickly, the multiple remote service stations provide services, and the multi-rotor aircrafts perform tasks, so that target tasks are managed, analyzed, and processed quickly in real time; thecloud server processes the data quickly, so that a problem of insufficient information operation capability of the flight-control-board-mounted microprocessor of the existing multi-rotor aircraft forprocessing data with the large data volume is solved.

The invention provides a tumble detection method based on a convolutional neural network CNN and multi-discrimination features. Firstly, the algorithm uses CNN to extract human body joint point coordinates and skeleton information in a video sequence; secondly, secondary processing is conducted on joint point coordinates by means of the transformation relation between points and vectors, and the included angles between the spine, the left shank and the right shank of the human body and the ground are calculated to serve as a multi-feature extraction structure so that rich falling information can be conveniently collected; and finally, comprehensively analyzing the comparison result of the included angle and the threshold value and the height-width ratio change of the human body calibration frame to realize a fall detection function. In addition, the invention designs an IoT (Internet of Things) system framework for processing the video sequence at the cloud, so as to relieve the problem of insufficient computing power of the user terminal. Compared with a traditional fall detection algorithm, the method has higher accuracy and better universality.

The invention discloses a novel block chain consensus mechanism for an intelligent Internet of Things computing power service. The novel block chain consensus mechanism comprises a block chain framework for the intelligent Internet of Things computing power service, a matrix product computing task processing mechanism and a reward adjusting mechanism. The block chain framework for the intelligent Internet of Things computing power service comprises four types of nodes: an AIoT node, a coordination node, a miner node and a verification node. A series of matrix product calculation task processing mechanisms proposed by the invention formulate uniform rules and interfaces for block chain miners participating in calculation power service, so that the fairness of block chain mining competition is ensured, more miners can be attracted to participate in the block chain, and the security of a block chain network is further improved. By using the miner distributed computing service in the block chain, the security and privacy leakage risk caused by the central service is reduced, and the security of the computing power service is improved.

The invention discloses a gateway system and an information receiving and transmitting method, and relates to the vehicle-mounted system technology. The system comprises a processor, a controller, at least one switch and a power supply module for supplying power to the processor, the controller and the switches. The controller comprises a controller area network (CAN) transceiver; each switch comprises at least one port physical layer (PHY) transceiver; the controller is in communication connection with a first automobile device based on CAN communication through the CAN transceiver and receives and transmits CAN information through the CAN. Each switch is in communication connection with a second automobile device based on Ethernet communication through the PHY transceiver, and receives and transmits Ethernet information through the Ethernet; each switch is respectively in communication connection with the controller, the processor and other switches; the controller is in communication connection with the processor. According to the technical scheme, the problem that a traditional gateway is insufficient in operational capability is solved, and the gateway system with high real-time performance and high bandwidth is provided.

A method, an intelligent switch, a device, and a network for recognizing deviations in communication behavior of the network are provided. Characteristics of communication are monitored and evaluated regarding security behavior of the network using a model of a communication behavior of the network. For each communication over a switch of the network, at most three security values are derived from communication metadata of the respective communication using the model of the communication behavior. For each communication, it is checked whether the respective at most three security values meet respective predetermined threshold values. When the respective predetermined threshold values are not met by at least one of the security values, a security warning is generated.

The invention discloses a cloud-controlled automatic driving system based on SUMO and a unified timeline, including a driving client, an application server, a vehicle control server, an intelligent electric vehicle and a sensing device; the automatic driving system uses the driving client to issue travel instructions , use the application server to parse and encapsulate the travel instructions, use the SUMO module in the vehicle control server for path planning and driving task division, and use the GPS and correction module to generate vehicle correction instructions; the vehicle uses the driving task instructions and vehicle correction instructions of the vehicle control server travel. In the system of the present invention, the application server, vehicle control server, and smart electric vehicle use a unified time axis, and the vehicle executes at the specified time according to the time stamp in the instruction. The invention realizes cloud-controlled vehicle automatic driving while avoiding network delay and instability problems. It uses SUMO and unified timeline to further simplify the system and improve system reliability.