116results about How to "Low fault tolerance" patented technology

The invention relates to optical fiber ferrule assembly equipment for assembling optical fiber ferrules. The optical fiber ferrule assembly equipment comprises a base as well as a rotary table, an inner casing taking mechanism, a ferrule taking mechanism, a spring feeding mechanism, a spring limiting and clamping mechanism, a tail handle feeding mechanism, a tail handle stamping mechanism and a discharging mechanism which are arranged on the base, wherein the rotary table rotates counterclockwise; the inner casing taking mechanism, the ferrule taking mechanism, the spring feeding mechanism, the spring limiting and clamping mechanism, the tail handle feeding mechanism, the tail handle stamping mechanism and the discharging mechanism are all connected with the rotary table and are distributed along the rotary table in a counterclockwise direction sequentially; the optical fiber ferrules are assembled along with the rotation of the rotary table from the inner casing taking mechanism to the discharging mechanism; the optical fiber ferrule assembly equipment is high in automation degree and can improve the production efficiency.

It is provided a distributed processing system comprising a two or more dimensional grid network, on which a virtual ring of a consistent hash is created, for coupling a plurality of nodes to which hash values are assigned, the plurality of nodes including at least a computational resource, and the nodes arranged at positions adjacent on the virtual ring being arranged at positions capable of communication without via other nodes in the grid network.

The invention belongs to the technical field of the Internet and discloses a time sensitive network analysis system and method based on a redundancy mechanism. A redundancy module, a forwarding moduleand an analysis device form a whole analysis system. Through utilization of the redundancy module, input time sensitivity data is identified, copied and recovered; through utilization of the forwarding module, transmission is selected, thereby realizing redundancy of audio/video business streams; and through addition of the analysis device, a high efficient analysis method is provided for a failure node and link existing in a network. The failure node or link in the network can be effectively identified, the harm brought to the network by the failure link can be avoided, a reliable transmission mode is provided for a future streaming media audio/video network, and the network reliability and transmission service quality of a time sensitive network are greatly improved.

The invention relates to a permanent magnet synchronous motor with high-power density, which belongs to the technical field of motors and solves the problem that the motor volume is large or the motor efficiency is decreased as pipelines are arranged in the motor to cool the motor with a liquid cooling method in the traditional multi-phase permanent magnet synchronous motor. The synchronous motor comprises a stator and a rotor. A gas gap is formed between the stator and the rotor, and the stator comprises an armature iron core and an armature winding. The gas gap side surface of the armature iron core is in a tooth groove structure. The interval arrangement of parallel teeth and trapezoidal teeth are formed on the gas gap side surface of the armature iron core by a plurality of parallel grooves. The gas gap side edges of the trapezoidal teeth are short edges, and the middle of the tooth root of each trapezoidal tooth is provided with an axial circular through hole. The armature winding is sheathed on the parallel teeth, and is formed by connecting single-layer coils in series or parallel, wherein the coil is square. The invention is suitable for permanent magnetic synchronous motors.

The invention discloses a distributed high-concurrency data collection and processing method and system in an Internet of Things environment. The method comprises the following steps of: ; the methodcomprises the following steps of: creating a process guide Server Bootstrap; the method comprises the following steps: initializing a thread group bossGroup and a thread group workerGroup of which thetypes are NioEventLoopGroup, and initializing a thread group BossGroup and a thread group workerGroup of which the types are NioEventLoopGroup; the method comprises the following steps of: starting adata transponder process guider of which the type is Bootstrap; the method comprises the following steps of: constructing a processing class which is inherited from a ChannelInbound Handler Adapter;and adding processors Handler for different protocols, constructing a main interceptor, and binding a process port by utilizing the data receiving guider constructed in the above steps to monitor datasent by hardware equipment and analyze and transmit the data to a message queue unit. According to the distributed high-concurrency data collection and processing method and system in the Internet ofThings environment, a Netty framework is adopted, and large-batch data collection is supported.

The invention provides a traffic signal control system building method based on stream computing and a control system. The method comprises: building a software development environment of a data access module used for receiving, caching, and forwarding traffic signal data to a distributed stream computing system via a data acquisition module and designing the data access module; building a software environment of the distributed stream computing system used for receiving and processing the traffic signal data; designing a topology of the distributed stream computing system; and submitting JAR packets to each node of the distributed stream computing system according to the topology. According to the method, the distributed and open type traffic signal control system with low delay and high fault tolerance can be realized.

The invention discloses an imprecise fault identification method for power grid completeness state information reconstruction. WAMS of an RTU and a PMU is used for synchronous phasor measurement, wide-area fault information is provided, the requirements for real-time performance and globality of tidal current fingerprint collection are met as much as possible, under the condition that fault samples and information are incomplete, an imprecise probability principle is introduced for research, and the requirement for fault tolerance is met as much as possible. Besides, wide-area measurement is taken as a background, and fault information acquired by the power flow fingerprints of the RTU and the PMU is combined to an inaccuracy principle so that fault identification can be performed under the condition of power grid uncertainty.

The present invention relates to the field of medical technology, and more particularly, to a digital image classification method for cervical fluid-based cells based on a deep learning detection model. The method comprises the following steps: selecting and labeling positions and categories of abnormal cells or biological pathogens in a digital image of cervical liquid-based smears; performing data normalization processing on the digital image of the cervical liquid-based smears; performing model training to obtain a trained Faster-RCNN model by taking the normalized digital image of the cervical liquid-based smears as an input, and the labeled position and category of each abnormal cell or biological pathogen as an output; and inputting an image to be recognized into the trained model and outputting a classification result. The method provided by the embodiment of the present invention can achieve the following advantages: abnormal cells or biological pathogens in a cervical cytological image are positioned; the abnormal cells or biological pathogens in the cervical cytological image are classified; and slice-level diagnostic recommendations are derived by recognizing the positioned abnormal cells or biological pathogens.

The invention relates to the field of image processing, and discloses a face snapshot method and system in video monitoring, and the method comprises the steps of obtaining a current frame target image of a video or picture flow; performing human face detection on the current frame of target image, and outputting human face rectangular frame coordinates; performing quality evaluation on the face small image to obtain a quality score of each face in the current frame of target image; performing feature extraction on each face small image to obtain face features of each face in the current frameof target image; respectively matching all the stored face tracks with each face in the current frame of target image; updating all face track information; and performing frame-by-frame snapshot andoptimal face snapshot judgment, and reducing the optimal quality score of the face trajectory by using the attenuation factor alpha. According to the invention, the real-time performance of snapshot and the high quality of snapshot pictures are ensured, the computing resources of the system are saved, the snapshot repetition rate is reduced, the robustness of the whole system is improved, and theaccuracy of subsequent face recognition is improved.

The invention provides a multi-channel acquisition and control integrated soil gas flux monitoring system and a monitoring method. The system comprises a controller, a sensor unit, an air chamber unitand a human-computer interaction interface. An MCU, an ARM application processor and a Linux operating system are adopted in the controller. High integration of system control and data acquisition isrealized, visual man-machine interaction interface, GPS time service positioning, Wi-Fi wireless communication and PC/mobile phone webpage end remote control are supported, and arbitrary addition andcombination of CO2/O2/CO/CH4 and other gas sensors are supported. The user side supports the functions of monitoring parameter setting, real-time data display, file transmission management and the like. The system is based on the in-situ monitoring concept, the problem of air barrier and the problem of air pressure imbalance in an air chamber are avoided, and the influence of external force suchas an air pump on the air release rate is eliminated. The system can be widely applied to long-term continuous monitoring and scientific research experiments of soil gas flux in a complex environmentunder the field unattended condition.

The invention discloses a prefabricated column of an assembly type concrete building structure and a beam and column joint with the prefabricated column. The prefabricated column and the beam and column joint are applicable to the connection between an upper-layer prefabricated column and a lower-layer prefabricated column and a beam in the assembly type concrete structure. The prefabricated column is a prefabricated concrete pipe pile. The prefabricated concrete pipe pile comprises a vertically arranged pipe pile prestressed reinforcing steel bar, a pipe pile spiral stirrup for bundling the pipe pile prestressed reinforcing steel bar and core filling concrete, and is further internally and vertically provided with a connecting steel bar. The connecting steel bar is provided with an extending end extending out of the prefabricated concrete pipe pile, and the extending end is used for connecting with a structural beam of a beam and column joint area; and the prefabricated column is usedfor being connected with the structural beam in an assembly mode. The prefabricated column is low in manufacturing cost and construction mounting fault tolerance rate and simple in mounting process.Meanwhile, the beam and column joint comprising the prefabricated column is provided.

The invention discloses an improvement structure of a synthetic leather inspection device. The improvement structure comprises a frame, wherein synthetic leather is conveyed inside from the left side of the frame, a lighting device is arranged in the middle of the internal part of the frame and comprises a light tube; a tubular lampshade is sleeved outside the light tube; an insulated vacuum layer is arranged between the inner wall and the outer wall of the tubular lampshade; a left roller, a right roller and an upper roller are arranged at the left side, the right side and the upper end of the lighting device; the synthetic leather is orderly attached through the left roller, the upper roller and the right roller from the left, and outputs to enter an automatic rolling shaft from the right side; two observation points are simultaneously formed when the synthetic leather is conveyed from the frame. Therefore, the problem of leak detection of a single observation point can be prevented; the inspected synthetic leather also can be automatically rolled into a product; meanwhile, the insulated tubular lampshade arranged on the lighting device can prevent the surface of the synthetic leather from being affected by high temperature of the light tube.

The invention discloses a shoemaking production line layout based on personalized customization and a scheduling mode of the shoemaking production line layout, and the specific layout and scheduling steps are as follows: step 1, based on personalized customization, production is carried out by a production line according to a customer customization order, and the customization order is generated after foot shape measurement, shoe style selection and vamp pattern customization are carried out by each customer in a store; step 2, an operator of the production line issues a process instruction book for production in combination with MES, and pattern files and process parameters corresponding to an order are downloaded and uploaded to the flying loom for production when the order is issued; step 3, on the basis of the step 2, vamp auxiliary materials are conveyed to a vamp auxiliary material lighting warehouse through a vamp auxiliary material conveying line to wait for being matched withthe vamps, and after matching is completed, the vamps with the RFID tags, the auxiliary materials and the material boxes are conveyed to stations needed by vamp forming through a vamp forming roller conveying line to be operated. The shoemaking production line layout based on personalized customization and the scheduling mode thereof are stable and reliable, equipment is simple, operation is convenient, practicability is high, and the shoemaking production line layout is suitable for wide application and popularization.

The invention relates to the technical field of building construction, and discloses a composite floor slab. The composite floor slab comprises two stand columns and a composite floor slab body, transverse plates are arranged on one sides of the outer surfaces of the two stand columns, positioning piles are arranged on the upper surfaces of the transverse plates, a positioning ring is arranged on one side of the composite floor slab body, and the inner wall of the positioning ring is in clearance connection with the positioning piles. A clamping groove is formed in one side of the composite floor slab body, a clamping block is arranged on the other side of the composite floor slab body, and inserting grooves are formed in one sides of the transverse plates. The invention further discloses a composite floor slab connecting method. The composite floor slab connecting method comprises the following steps that S1, the positioning piles are prefabricated; S2, support installation is carried out; S3, the composite floor slab is hoisted; S3, the composite floor slab is hoisted; S4, a cable rope is installed; S5, positioning, connecting and installation are carried out; and S6, the composite floor slabs are clamped. The composite floor slabs can be positioned, connected and installed, so that the connecting efficiency of the composite floor slabs is higher, certain creativity is achieved, the connecting mode is safe and efficient, the construction cost is reduced, and the construction efficiency is improved.

The invention provides a cloud computing public cloud file storage and retrieval method; the method comprises the following steps that a local medical institution terminal generates an encryption private key; the encryption private key is used for encrypting a public cloud file block and then storing encrypted data to a public cloud; the local medical institution terminal sends a request for obtaining the data and the distribution number t of the encryption private key to the public cloud; the public cloud is used for decrypting the data by using the encryption private key and then returning the decrypted data to the local medical institution terminal, meanwhile, the distribution number t of the encryption private key is stored; and after the identity of a remote mechanism terminal is confirmed, an encryption authentication request flag tagc is obtained according to the distribution number t of the encryption private key and returned to the remote mechanism terminal. According to the cloud computing public cloud file storage and retrieval method provided by the invention, the effective information of a medical data storage system can be effectively prevented from being acquired bymalicious attackers; the reliability of the medical data storage system is greatly enhanced; and the fault tolerance rate and the calculation strength of the system are reduced in the data recovery process.

The invention discloses an urban road ponding monitoring device and method in the field of urban roads. The monitoring device includes a thunder-vision all-in-one machine, and the thunder-vision all-in-one machine is connected with an external power supply module through a power supply interface. The power supply module provides a 24V direct-current power supply; and a millimeter wave radar module, a video module and a control module are arranged in the thunder-vision all-in-one machine. The control module is driven by a CAN bus for communication with the millimeter wave radar module for synchronously superposing ponding depth data and ponding state information on the video module; wherein the video module is connected with the control module through an image interface and outputs a real-time video of a road water accumulation point, and the thunder-vision all-in-one machine communicates with a network transmission module through an Ethernet interface to realize information interactionwith a remote monitoring center background and display a water accumulation site video and water accumulation depth data in real time; in other detection modes, a detection sensor and a monitoring video are respectively opposite, the system is complex and low in fault tolerance, the road ponding depth is monitored in a non-contact mode, and the defect that the mounting positions of other sensorsare limited is overcome.

The invention discloses a chip voltage trimming method, which comprises the following steps of: when an initial value of a to-be-trimmed voltage is between a first threshold value and a second threshold value, determining assignment values of all trimming positions, or when the initial value is smaller than the first threshold value or larger than the second threshold value, determining the assignment value of the highest trimming position based on a voltage range in which the initial value is located; executing an iteration step until the pre-trimming value is greater than or equal to a first threshold value and less than or equal to a second threshold value, and ending the execution of the iteration step so as to sequentially determine the assignments of all trimming positions after the highest trimming position; and carrying out a test to obtain a final value of the voltage to be trimmed. The iteration step further comprises: carrying out pre-assignment on a next trimming position, writing a determined trimming position assignment and a pre-assignment into a chip, and carrying out the test to obtain a pre-trimming value of the voltage to be trimmed; and judging the voltage range of the pre-trimming value, and further determining the assignment of the current trimming position of the chip. According to the invention, the trimming precision can still meet the requirements during mass production operation, and the product yield is improved.

The invention relates to the technical field of automobile steering wheel assembly assembling, in particular to an automatic assembling and machining production line for a steering wheel assembly. Theautomatic assembling and machining production line for the steering wheel assembly sequentially comprises a rotary disc pre-assembling mechanism, a handle assembling mechanism, a main board press-fitting mechanism, a bracket cover assembling mechanism and a loading mechanism according to an assembling sequence; the rotary disc pre-assembling mechanism comprises a rotary disc assembly, material carrying assemblies, a first oiling assembly, a press-fitting assembly, a second oiling assembly, a pre-assembling assembly and an unlocking assembly; and the plurality of material carrying assemblies are arranged in the circumferential direction of the rotary disc assembly at equal intervals. Through cooperative use of the rotary disc pre-assembling mechanism, the handle assembling mechanism, the main board press-fitting mechanism, the bracket cover assembling mechanism and the loading mechanism, accurate positioning matching and automatic assembling of the steering wheel assembly are implemented, the problem of low manual assembling efficiency of an existing steering wheel is solved, the defective rate is reduced, and the product quality is improved.

The invention discloses a local repair coding method of cross circular convolutional codes capable of multi-fault tolerance. The amount of data stored in a storage system is large, and the number of storage nodes is increased. If a conventional partial repetition code is used to construct local repair coding, when the fault of a node occurs, the faulty node repair scheme is single, the disk I/O cost in the repair process is large, and the fault tolerance capability of the system is low. Therefore, in a distributed storage system, the codes capable of multi-fault tolerance are used, a pluralityof repair schemes are provided in a process of repairing the faulty node, the disk I/O cost is low, and the fault tolerance capability of the system is improved.

The invention relates to a part surface burr detection method based on machine vision. The part surface burr detection method comprises the following steps: S1) acquiring a to-be-detected image and a template image; s2) respectively performing image processing on the to-be-detected image and the template image to obtain a to-be-detected contour and a template contour; s3) drawing a connected domain between the to-be-detected contour and the template contour, and solving the shortest linear distance from each contour point of the to-be-detected contour to the template contour and the corresponding shortest distance point; s4) judging whether a connecting line between each contour point and the corresponding shortest distance point completely falls in the connected domain; s5) calculating the minimum distance from each contour point to the corresponding shortest distance point along a certain path in the connected domain, and taking the minimum distance as the internal distance of each contour point; and S6) comparing the internal distance of each contour point, identifying whether each contour point is an abnormal point or not, and analyzing all the abnormal points to obtain surface burr information of the to-be-detected part.

The invention provides a people flow counting method and system, and belongs to the technical field of image processing. The method comprises the following steps of: detecting the object of the imageset with the frame sequence according to the frame sequence; when a first image with a first object set is detected in the image set, obtaining a first local vector corresponding to the position of the first object set relative to the first image in the first image, and then obtaining a second local vector corresponding to the position of the second object set relative to the second image in the second image with the second object set in the image set; and obtaining a tracking value set according to the first local vector and the second local vector in combination with a preset tracking mapping relationship, and obtaining a tracking state set of objects in the first object set according to a relationship between each tracking value in the tracking value set and a preset tracking thresholdcondition. According to the invention, detection and tracking of high on-call rate are realized, and a high-precision and high-robustness people flow counting system is realized based on the detectionand tracking of the high on-call rate.

The invention relates to a variance optimization histogram construction method and device based on Spark Streaming. The method comprises the steps that Spark Streaming is utilized to perform online sampling on streaming data; a variance optimization histogram is dynamically constructed according to online sampling data; and the variance optimization histogram is dynamically updated by use of newly added data, and the variance optimization histogram is dynamically constructed again according to the newly added data. Through the technical scheme, the high-precision approximate variance optimization histogram can be constructed by scanning data once within a limited memory space.