61results about How to "Meet timeliness" patented technology

The embodiment of the invention discloses a method for synchronizing a database with an application cache server. The method comprises the following steps of: when data in the database is updated, receiving updated data from the database and adding the updated data into a message queue; and updating data in the application cache server according to the updated data added into the message queue. By the embodiment of the invention, the requirement on the timeliness of the synchronization of data in the database to the application cache server is met and the pressure on the database during data synchronization is reduced. The embodiment of the invention also discloses a device and a system using the method.

The invention discloses a method for processing a real-time task, which comprises that: a real-time task generator receives a task request forwarded by an external system, generates a task entity according to the task request and delivers the generated task entity to a real-time task waiting queue; at least one real-time task trigger controller scans the real-time task waiting queue and submits the scanned real-time task to a real-time task execution controller after triggering the scanned real-time task; and the real-time task execution controller acquires a real-time task parameter according to the task entity and runs the task entity according to the real-time task parameter. Correspondingly, the invention also discloses equipment for processing the real-time task. The method and the equipment for processing the real-time task receive the task request transmitted by the external system without the processing of the external system, so that the processing time of an intermediate link is shortened and data accuracy and processing efficiency are improved.

A method for performing multi-parameter synchronous measurement by means of a Kelvin probe force microscope relates to measurement technology for surface topography, mechanical property and local surface potential. The method aims to settle a problem of incapability of realizing synchronous representation of the surface topography, the mechanical property and the local surface potential of a sample through a traditional Kelvin probe force microscope. Vertical reciprocation of a conductive probe is kept always; and in one motion period, when a maximal interaction force between the conductive force and the sample reaches a preset value, a corresponding time point is B, and a surface topography image is measured at the point B. When the conductive probe is separated from the surface of the sample, the corresponding time point is C, and an equivalent Young's modulus image is obtained between the point B and the point C by means of a DMT model. After the conductive probe is separated from the sample, the conductive probe continuously rises to a preset height and is kept for a certain time period, and the surface potential difference between the conductive probe and the sample is measured in the time period. The method provided by the invention is suitable for measuring the surface topography, the mechanical property and the local surface potential of the sample.

The invention discloses an unbalance signal amplitude extracting method applicable to online dynamic balancing. The method comprises the following concrete steps: (1), conditioning and sampling vibration signals sent by a vibration sensor, setting time reference points of the vibration signals and standard sine signals through key phase pulses of a key phase sensor, and performing two-stage FIR (Finite Impulse Response) filtering to the vibration signals for signal denoising; (2), according to a spectrogram of the filtered vibration signals, judging whether large-amplitude interference signals are contained, adopting substraction to remove the large-amplitude interference signals if large-amplitude interference signals are contained, and removing the step if no large-amplitude interference signals are contained; and (3), according to cross-correlation computation results of the filtered standard sine signals and the denoised vibration signals, adopting an improved cross-correlation extraction method to compute the amplitude value and phase position of the unbalance signals. The method provided by the invention can rapidly and accurately extract the amplitude value and the phase position of the unbalance signals under a strong nose background, and is applicable to an online dynamic balancing device of a rotary machine.

The invention discloses a departure moment optimization method based on a demand response type bus, which carries out optimization on a departure moment of the demand response type bus for the demandresponse type bus of which service objects have differences in spatial and temporal distribution. The optimization method aims at a maximum weight combination value of a loading rate and a passenger average satisfaction level of the demand response type bus, considers constraint conditions of a demand time interval, a departure moment time interval, a demand type, passenger waiting time, vehicle capacity and the like, and establishes a demand response type bus departure moment optimization model to carry out optimization. According to the invention, the departure moment, the demand response and a driving path are integrated in one uniform optimization model and synchronous optimization is carried out, so that service timeliness and the operation level of the demand response type bus are improved.

The invention belongs to the field of collaborative analysis and decision-making of multi-level power market information service, and particularly relates to a recommendation method for a power market multi-layer collaborative information service. The recommendation method is characterized by being adapt to a multi-layer collaborative filtering method based on fuzzy evaluation, and solves the individual information recommendation problem in multi-level power market information issuing. The content of the recommendation method comprises the steps of: (1) constructing a relevancy attribute factor evaluation index system for issuing information; (2) carrying out fuzzy comprehensive evaluation according to information attribute factors; (3) generating an issued information item set for recommendation based on a membership degree threshold value; (4) calculating similarity coefficients between items of each issued information item in the set; (5) calculating a user prediction score of each information item and ranking the scores; (6) and generating a top-N nearest neighbor item set and recommending the item set the users. The recommendation method analyzes typical application scenarios, implements the information service collaborative recommendation method oriented toward the typical service scenarios, and enhances the timeliness and precision of the user information service experience.

The invention discloses a system and a method for remotely obtaining the real-time graded debugging information of a kernel module, and the system and the method relate to the field of computer systems. The system comprises target equipment and monitoring equipment; the target equipment carries out communication with the monitoring equipment through an IP (Internal protocol) network; the target equipment comprises the kernel module and a debugging module; the monitoring equipment comprises a remote monitoring module; the kernel module generates and sends debugging information to the debugging module; the remote monitoring module sends a connection command to the debugging module to record; when a debugging grade is set or changed, the remote monitoring module sends a setting command to the debugging module; the debugging module stores the debugging grade in the debugging module after receiving the setting command and sends the debugging information according with a filtration condition to the remote monitoring module; and the remote monitoring module stores and displays the received debugging information and sends a closing command to the debugging module when the debugging is completed. By using the system and the method, a debugger and a maintainer can remotely carry out trace debugging and are not necessary to rush towards a field; lots of labor power and material resources can be saved; and the timeliness for the fault diagnosis of the kernel module is met.

The invention relates to an energy consumption perception virtual network mapping algorithm based on the Internet of Things. Aiming at network characteristics of the Internet of Things, a traditionalenergy consumption model is redefined in a virtual network mapping stage, so that the traditional energy consumption model adapts to new energy consumption characteristics in an Internet of Things environment. Under the condition that the minimum energy consumption is ensured, the heterogeneity of the nodes and the timeliness of the links are emphatically considered. through distinguishing the timeliness characteristics of the links, and then mapping of virtual network resources is completed by adopting a two-stage method. The virtual network mapping problem is completed in a resource integration mode, the resource utilization rate is maximized, and the mapping time is shortened. Meanwhile, the energy-saving effect is achieved, and along with increase of introduced parameters, a finer-grained mapping mode is achieved.

The invention discloses an iterative algorithm oriented to intersection traffic control in an automatic driving environment. In order to realize effective traffic control at an automatic driving intersection, an independent passing scheme needs to be calculated for each automatic driving vehicle, the calculation complexity of a traffic control system is high, and the calculation amount of a traffic control model is sharply increased. Therefore, an iterative optimization algorithm capable of gradually reducing the step length mechanism and updating an iterative step length is designed. The iterative optimization algorithm comprises the steps of: firstly, classifying time window according to collected vehicle arrival information; in the same time window, whether conflict occurs at the intersection or not can be judged according to the time when the vehicles occupy the grids, the control scheme and the calculation time of each vehicle are obtained, and the step length is gradually reducedfor iterative calculation until the optimal control scheme is obtained or all time in the time window is used up. According to the iterative algorithm, iterative control is carried out by updating the iterative step length, so that the calculation efficiency of the control model can be improved to meet the control requirements under any traffic volume.

The invention relates to an intelligent logistics classified processing device based on Internet +, and effectively solves the problems that an existing device cannot carry out omnibearing code scanning input, cannot classify the volume and the weight of logistics express items at the same time, and cannot make corresponding adjustment according to different classification standards. Visual code scanning equipment and a volume detection bin are arranged on an assembly line, width detection plates are arranged on the two sides of the volume detection bin, width contact sensors are arranged on one sides of the width detection plates, a height detection plate is arranged on the volume detection bin, a height contact sensor is arranged on one side of each height detection plate, a sorting binis arranged on one side of the volume detection bin, a sorting disc is rotationally connected into the sorting bin, and a small item conveying bin and a large item conveying bin which are fixedly connected to the sorting bin are arranged on the side face of the sorting bin, According to the device, omnibearing code scanning input of express classification is realized, the practicability and applicability are very high, the requirements of logistics classification for timeliness and high efficiency are met, and logistics classification becomes more efficient and faster.

The invention discloses a method for describing and reproducing an on-line vector diagram modeling process. The description of the modeling process is high-fidelity, on one hand, the extracted operation with modeling semantics can reflect the connotation of all or most of low-level events, and on the other hand, the redundant operation is required to be filtered; the reproduction of the modeling process is adaptive, on one hand, since an on-line application is updated continuously, the reproduction of the modeling process can adapt the changes to enhance the robustness and the practicability of the application, and on the other hand, the reproduction of the modeling process can be conveniently modified and multiplexed. The description is abstract description for graphic operation, and the requirement on bandwidth is low; the method has certain adaptation to change of a webpage version and can meet the requirement on timeliness of version evolution; the reproduced operation is actual operation for an actual model, and a user can very easily modify and extend the model to achieve multiple purposes; the implementation modes comprise an embedded mode and an extended mode, and the universality is high.

The invention discloses a vehicle data file generation method and device, and the method comprises the steps: obtaining a bus matrix and a signal demand table under a set path; reading and analyzing data cells in the bus matrix and the signal demand table one by one to generate an RX table; sorting the RX tables line by line, arranging the signal names under the same message name, grouping according to the Motorola format LSB matrix format and the acquisition frequency, and polling and filling each signal with 64-bit data frames by adopting a greedy algorithm to generate a TX table; accordingto the signal value description attribute of the TX table, setting a type judgment rule to add mode schema information of a signal, and generating a communication matrix in combination with the RX table, the TX table and the schema information; and reading the communication matrix line by line through a DBC conversion program to generate a DBC file. According to the invention, the manpower and time costs of engineers for manufacturing communication matrixes and DBCs are reduced, and great convenience is provided for signal acquisition of automobile big data and subsequent data analysis.

The invention provides an electronic signing system and method. The electronic signing system comprises a block chain, a first client and a second client, wherein the first client is used for loggingin by a first signed user; the first client is used for logging in by a first contract signing user, the second client is used for logging in by a second contract signing user, the block chain is usedfor storing data information uploaded by the first client and the second client and processing the data information, and the electronic contract signing method comprises the steps that the first contract signing user logs in the first client, makes a contract signing contract and creates a contract signing task; a second contract logs in a second client, and video contract signing is carried outaccording to the contract signing task; and the first signing user audits the signing information to complete signing. According to the electronic contract signing system and method provided by the invention, a video technology and a block chain technology are integrated, the confidentiality, authenticity and security of contract signing are ensured through superposition and locking of a hash codeand a video, timeliness, convenience and intuitiveness of contract signing of people are met, and the contract signing is easy to store and inquire.

The invention discloses a block chain blacklist sharing method adopting hash desensitization processing, and the method comprises: enabling each operation mechanism to build a business platform and anetwork node of the operation mechanism, and enabling the network node to which each mechanism belongs to be connected to a block chain network; sending service requests to respective network nodes through a service platform, the service requests including an uploading request, a deleting request and a query request of blacklist data, and at least performing desensitization and encryption processing on part of data fields of the uploading requests; monitoring blacklist data exchange requests and responses between the sub-nodes; allocating corresponding responsibilities to each sub-node according to the monitoring result; notifying the sub-nodes which do not participate in the exchange of serving as supervisors, and verifying exchange conditions of the two exchange parties; and notifying the sub-nodes passing the exchange condition verification of performing one-to-one data exchange. The method and device solve the problems that original sensitive data sharing is high in cost and poor in data timeliness and safety.

The invention discloses an Ethernet switch and a communication method supporting network backup, and relates to a data transmission technology of industrial Ethernet switches. In the prior art, industrial Ethernet switches communicate via an optical fiber or a network cable. When a switch fails, the switch cannot transmit a data packet to a target switch in time via an optical fiber or a network cable. In order to solve the problem, the invention provides an Ethernet switch and a communication method supporting network backup. The main technical point is that the Ethernet switch comprises a 4G communication module and a processor, and the processor is used for detecting the working state of the switch regularly and making the 4G communication module send a to-be-sent data packet to the 4G communication module of a target switch when detecting that the switch cannot carry out communication normally.

The invention provides a method for constructing a tree trunk volume estimation model, a volume estimation method and a system, wherein, method for constructing a tree trunk volume estimation model comprises the steps of three-dimensionally scanning individual trees, and sampling point cloud data of a tree trunk; conducting point cloud data preprocessing, including deleting redundant point cloud data outside the tree trunk; in the vertical direction, dividing the trunk point cloud data into n layers horizontally, and calculating the volume of each layer slice by the method of cross-sectional area integral, then the volume of n layers is superposed to obtain the volume of the whole tree trunk. The trunk volume model of trunk volume and trunk model factor was constructed by using the trunk model factor and the calculated volume result and linear regression analysis to fit the trunk model. Compared with the prior art, the invention reduces the destruction to the forest, improves the accuracy of modeling, and can realize the accurate modeling of irregular objects, the modeling workload is small, the time consuming is short, and the timeliness of modeling can be satisfied.

Attaching necessary usersí» address code to electronic layout information of newspaper, the method combines the said information with digital coded sound broadcasting information and then sends information including digital text, sound and image etc. through present AM or FM broadcast channel and analog broadcast transmitter in relevant band. Through AM / FM radio with LCD, valid user of having conditional receiving code can selectively watch directly according to channels, subjects or contents, and listens digital broadcast of sound. Being as a method for subscribing and watching í«electroní» newspaper, the invention is downward compatible to current AM / FM broadcast transmitter, AM / FM broadcast channel, MW / SW / FM wave band radio set.

The invention discloses a polarization-induced fading resisting method and an alarming algorithm for optical fiber bragg grating sensing signals. Firstly, interference signals reflected back by two adjacent fiber bragg gratings are received by using a tri-state polarization diversity receiver, and interference signals having an uncertain polarization state are divided into three paths and then aremodulated by a signal generator of a system to form three groups of phase-shifted light intensity signals of each path; then, the three groups of phase-shifted light intensity signals of each path are compared with each other in a sampling time period to solve the interference contrast of the three paths of phase-shifted light intensity signals, the path with the best contrast in the three pathsof phase-shifted light intensity signals is determined, and then the phase demodulation of the vibration of an optical fiber sensor is performed by combining a three-step phase shift algorithm; and then a discrete difference algorithm is used to process a phase signal sequence and set an alarm threshold value, and whether an alarm is sent or not is judged by counting the number of discrete difference signals exceeding the threshold value after the difference. The method for determining the contrast of the interference signals has high real-time performance and high accuracy; and the alarming algorithm has high dynamic signal change monitoring capability, high precision and high environmental interference resistance.

The embodiment of the invention provides a multi-DSP real-time bidding method and device for Internet advertisements. The method comprises the steps of: receiving a plurality of pieces of advertisement bidding information transmitted by an advertisement display side, searching advertisement bidding information matched with the target user information of each DSP from the advertisement bidding information, and obtaining the target advertisement bidding information of each DSP; sending each piece of target advertisement bidding information to at least one DSP corresponding to the target advertisement bidding information; receiving bidding responses fed back by the DSPs; determining a target DSP from a plurality of DSPs participating in bidding the target advertisement bidding information; searching a target advertisement material matched with advertisement position attribute information from a pre-stored material library of the target DSP according to the advertisement position attributeinformation contained in the target advertisement bidding information, and sending the bid of the target DSP and the target advertisement material to the advertisement display party. The timeliness,the high stability and the high accuracy of high-concurrency real-time bidding can be realized.

The invention relates to a data analysis technology, discloses an underwriting method and device based on an intelligent wearable device, and a storage medium. The method comprises the steps that fora client of a preset type of insurance type, life data uploaded by the client through a client of an intelligent wearable device, health data of the client obtained through monitoring of the intelligent wearable device and positioning data obtained through positioning of the intelligent wearable device are acquired in an underwriting period; analyzing the positioning data to obtain a correspondingplace name, obtaining basic information and an insurance type in the insurance policy information of the client, and analyzing the basic information, the life data, the health data and the place nameaccording to a predetermined analysis rule to obtain an insurance probability of the insurance type of the client; and determining an underwriting type corresponding to the insurance probability based on a predetermined mapping relationship between the insurance probability and the underwriting type. According to the method, the risk condition of the client is continuously monitored and the underwriting type is determined in the underwriting period, so that the underwriting timeliness is met, and the underwriting is comprehensive and accurate.

The invention discloses a system parameter configuration method which includes: selecting a system parameter table; loading configuration corresponding to the system parameter table; analyzing a storage-quantity parameter of the system parameter table; and entering new system parameters excluding the storage-quantity parameter. The invention also discloses a system parameter configuration device and platform.

The invention relates to a new energy station power generation plan making method and device. The method comprises: dividing a power transmission section into multiple layers of nested sections according to the voltage level of the power transmission section; according to the power generation capacity of each limited section in each layer of nested sections and the predicted output of each sectionin each layer of nested sections, determining a peak-shaving and power-limiting power value of each section in each layer of nested sections; and determining a power generation plan of each section in each layer of nested sections by utilizing the peak regulation and power limiting power value of each section in each layer of nested sections. According to the technical scheme provided by the invention, the new energy power limiting rate of each region of the power grid can be kept consistent, and a fair distribution principle of power limiting power is realized.

The invention discloses a data processing system for hybrid access of a multi-protocol Internet of Things terminal to an RS485 bus. An RS485 bus interface, an RS485 bus data transceiver module and various protocol processing modules are arranged in an industrial Internet of Things gateway, and the Internet of Things terminals of various protocols are accessed to the industrial Internet of Things gateway through the RS485 bus interface. The RS485 bus data transceiving module is connected with the RS485 bus interface and the various protocol processing modules and is used for finishing queuing and sending of all protocol command frames and receiving of response frames and distributing the response frames to the corresponding protocol processing modules. According to the invention, multiple protocol internet-of-things terminals can be accessed to the RS485 bus, the deployment and laying of the RS485 bus when the multiple protocol terminals are optimized, and the cost is saved. Through priority scheduling and protocol frame queuing, important commands are sent to the Internet of Things terminal in time, and timeliness in industrial Internet of Things application is met. The invention further provides a corresponding data processing method for hybrid access of a multi-protocol Internet of Things terminal to an RS485 bus.

The invention discloses a logistics management device, which comprises a mobile system, and a first flat system, a horizontal measuring system, a second flat system, a ring measuring system, a sonar test system and a shunt system that are arranged in sequence; the device provided by the invention can align logistics parts by a flat system and make the logistics parts in the most stable state. Thedevice can dry the surface of a single logistics part in real time, wet the surfaces of the logistics parts or dry the wet part, and the damage probability of the outer packaging of the logistics parts is reduced. The device provided by the invention emits sound by causing the logistics parts to make small irregular oscillation contact with the device, and then received sound signals are processedand recorded, and the logistics parts comprising metal products and fragile products can be screened and separated in real time effectively.

The invention provides an operation authorization system of power primary equipment. The operation authorization system comprises a dispatching end authorization server, a background verification terminal, a switch and a plurality of primary equipment control loop authorization devices, wherein the background verification terminal is connected with the scheduling end authorization server, the scheduling end authorization server is connected with each primary equipment control loop authorization device based on the switch, and each primary equipment control loop authorization device is arrangedin a primary equipment control loop; the background verification terminal acquires authorization request information of the primary equipment to be operated, and the information is sent to a scheduling end authorization server; the scheduling end authorization server processes and encrypts the authorization request information; and the encrypted information is sent to the target primary equipmentcontrol loop authorization device through the switch, and the target primary equipment control loop authorization device performs authorization verification on the received information and controls the primary equipment control loop where the target primary equipment control loop authorization device is located to be switched on or switched off according to a verification result.

The invention discloses an SPOT-6 satellite image RFM ortho-rectification method based on FPGA hardware. The method comprises the following steps: obtaining geodetic coordinates of ortho-image pixel points; performing coordinate conversion by using an RFM model, namely converting geodetic coordinates of a ground point into pixel row coordinates and column coordinates of an original image; carrying out gray scale interpolation on the orthoimage; and repeating the process until the gray values of all the pixel points on the orthoimage are obtained, thereby obtaining the image subjected to orthorectification. According to the SPOT-6 satellite image RFM ortho-rectification method based on the FPGA hardware, the FPGA serves as a hardware acceleration platform, Verilog hardware language serves as a design language, RFM ortho-rectification of remote sensing images is achieved under the condition of limited hardware resources, and the requirements for timeliness, portability and miniaturization of satellite image ortho-rectification in the satellite remote sensing field are met.

The invention discloses a multi-region emergency load reduction collaborative decision-making method and system and a storage medium. On the basis of initial safety and stability evaluation, performance indexes of all control measures and accident risk levels of areas to which the control measures belong are comprehensively considered for layering, clustering and sorting, multiple control schemeswith sequentially increased adjustment amounts and active balance are generated, and a critical safety scheme is rapidly recognized based on a parallel computing platform. According to the invention,multi-region emergency load reduction online collaborative decision making considering the accident risk level can be carried out, a load reduction control scheme with lower accident risk level and higher cost performance is obtained, and the requirements of load reduction control on economy, timeliness, safety and risk level in a warning state, an emergency state or an extreme emergency state aremet.

The invention discloses a live broadcast hot clip playback method, comprising the steps of: starting a live video stream; determining whether a video needs to be clipped during the live broadcast, ifso, performing hot clip playback processing on the video stream to generate a fragment type of live broadcast playback file, otherwise, continuing to broadcast the video until the end of the live broadcast; and distributing the live broadcast playback file. The technical solution can meet the timeliness and flexibility, and achieve the effect of playback during live broadcast and arbitrary recombined playback.

The invention discloses a method for measuring the total iron content in fine iron powder in iron and steel enterprises. The method comprises the following steps: selecting cobalt sesquioxide as an internal standard substance, weighing 0.6000 + / -0.0002 g of fine iron powder sample, 6.0000 + / -0.0002 g of anhydrous lithium tetraborate and lithium metaborate mixed flux with the mass percentage of 67: 33, 0.03 g of ammonium iodide and 1.0000 + / -0.0002 g of Co2O3, putting into a platinum-platinum crucible, then putting the platinum-platinum crucible into a sample melting machine with the temperature of 1050 DEG C, and pre-standing for 120 seconds, swinging for 900s; and post-standing for 30 seconds, and taking out the sample sheet after melting. According to the method, the problems that in the actual determination process of the total iron in the fine iron powder, the effect of a manufactured sample calibration curve is poor, and points are relatively dispersed can be solved, the accuracy of an analysis result of the X-ray fluorescence spectrometry is improved, and the rapid and accurate determination of the total iron content in the fine iron powder is realized.

The invention provides a full-automatic sample injector capable of exchanging sample positions. The full-automatic sample injector comprises a disc body, N hole positions, N telescopic rods, a sampleoperation track, an electromagnetic power system and a rotating shaft, wherein the disc body is used for bearing the electromagnetic power system and the rotating shaft; the N hole positions are arranged to form two or more sample injection rings, in a working state, all the hole positions of one of the sample injection rings are located in the sample operation track, and all the hole positions ofthe other sample injection rings are located on the respective sample positions; one end of each telescopic rod is connected with the rotating shaft, the other end of the telescopic rod is fixedly connected with the corresponding hole position, and the telescopic rods drive the hole positions to rotate when rotating around the rotating shaft; and under the effect of the electromagnetic power system, the telescopic rods can expand or contract, and thus the hole positions are switched between the sample positions and the sample operation track. According to the full-automatic sample injector switching, it can be ensured that an element analyzer can operate automatically for 24 hours all day long, the timeliness of sample determination is met, and the working efficiency is improved.