101results about How to "Avoid real-time" patented technology

The invention provides a cable well state comprehensive monitoring and early warning system. The system comprises an intelligent monitoring terminal, a Zigbee wireless communication module and a backstage monitoring host for early warning analysis; the on-site intelligent monitoring terminal communicates with the backstage monitoring host for early warning analysis through the Zigbee wireless communication module; data summarized by the on-site intelligent monitoring terminal are transmitted to the backstage monitoring host for early warning analysis; and the monitoring terminal comprises a sensor acquisition module, a cable current sampling module, a power taking module and an intelligent monitoring host. With the cable well state comprehensive monitoring and early warning system of the invention adopted, a cable well and the real-time operation state of the interior of the cable well can be monitored, comprehensive monitoring of the actual operation state and operation environment of the cable well can be realized, and potential hidden dangers and emergencies of the actual operation state and operation environment of the cable well can be timely warned against.

The present invention concerns packet scheduling for a packet data enabled radio communication network. A packet data traffic flow is classified into service class specific traffic queues. The traffic flow comprising one or more data connections of predetermined service classes, at least one of the service classes being real time streaming traffic with a predetermined guaranteed bit rate requirement. A real time streaming service class specific traffic queue is metered to determine whether its bit rate is below or over its guaranteed bit rate requirement, based on which at least one first scheduling weight for the metered real time streaming service class specific traffic queue is determined. At least one second scheduling weight for at least one remaining traffic queue is determined. The traffic queues are scheduled according to the determined scheduling weights.

The invention relates to a distributed embedded real-time video stream processing system and method based on deep learning. A video data acquisition layer collects video data and carries out pretreatment through an ARM board; a video processing layer uses a deep learning algorithm to perform video processing on an embedded GPU processor cluster according to a specified video processing task; a GPU resource scheduling layer monitors GPU use conditions in the embedded GPU processor cluster in real time and carries out scheduling according to a scheduling policy; a storage layer uploads the processing result to a cloud storage server; and a service layer feeds back the result to a client in a visual manner. The distributed embedded real-time video stream processing framework based on deep learning combines video processing and deep learning, and realizes parallelization of video processing by utilizing distributed embedded technology to reach a real-time video processing effect; and by applying deep learning to the video processing, video processing accuracy is improved.

The invention provides a non-linear model prediction control method for a double planetary gear row type hybrid electric vehicle. According to the method, based on the predicted rotation speed of the finished vehicle and the torque requirement, optimization solution is conducted on an objective function during the prediction time interval through a non-linear optimization algorithm, the optimal control sequence of controlled quantities is obtained, and the required torques of a power system engine, a motor, a power generator and a brake system are determined by combining the first controlled quantity of the control sequence with kinetic equations of the double planetary gear row type hybrid electric vehicle in various modes. According to the characteristic that the number of working modes of the double planetary gear row type hybrid electric vehicle is large, control prediction and optimization are achieved through a non-linear model, the combination and disconnection states of all clutches and braking force in a power coupling mechanism can be effectively controlled, optimization of the different working modes and optimal energy distribution among different power components are achieved, and the advantage that the number of the working modes of the double planetary gear row type hybrid electric vehicle is large is brought into full play.

The invention discloses an AGV control method and system based on inertial navigation error correction and SLAM indoor positioning, and is used for solving the problem of error accumulation existing in an existing single AGV control technology based on inertial navigation error correction. The method includes the steps of S1, establishing a plane coordinate system based on AGV running ground and setting preset coordinate points; S2, when the AGV runs between the preset coordinate points, realizing real-time error correction of the AGV through data returned by an inertial sensor; and S3, when the AGV runs to a preset coordinate point, performing error correction again through SLAM indoor positioning on an accumulated error generated by inertial sensor error correction. The AGV control method provided by the invention performs error correction on the AGV based on inertial navigation error correction and matched with a laser radar-based SLAM indoor positioning technology, and avoids the problem of error accumulation of single inertial navigation error correction.

The present invention discloses a busbar voltage detecting system and a fault diagnosis method based on a wireless sensor network (WSN). A plurality of busbar voltage detecting points are arranged in turn on each busbar trunk line; each MCU control circuit box is internally provided with a busbar A phase power picking device, a busbar zero phase power picking device and an MCU integrated circuit; each busbar voltage detecting point sends data to the least busbar voltage detecting point on the corresponding busbar trunk line through a corresponding node wireless module, and the last busbar voltage detecting points send all the data to an upper computer for processing through a terminal node device; and the upper computer calculates a voltage difference and a resistance changing value between two adjacent busbar voltage detecting points, compares the resistance changing value with a preset resistance changing value, and determines if faults exist within a busbar region between the two adjacent busbar voltage detecting points. The number of busbar voltage detecting devices can be effectively reduced, diagnosis of busbar fault regions is realized combining the WSN technology.

The invention relates to a method for controlling liquid drops by virtue of a micro-electromagnetic bar. According to the method, a micro-electromagnetic bar and a substrate which are subjected to super-hydrophobic surface treatment are taken as platforms based on competition of magnetic force, surface tension and gravity, the micro-electromagnetic bar is switched on or off so as to absorb and release magnetic bead-containing liquid drops on the surface of a super-hydrophobic surface, and the operations of transportation, fusion and mixing of the magnetic bead-containing liquid drops and the control of the separation between solid-phase magnetic beads and liquid-phase magnetic beads in the magnetic bead-containing liquid drops are finished by virtue of placement of the micro-electromagnetic bar or a liquid drop seating platform. According to the method for controlling the liquid drops by virtue of the micro-electromagnetic bar, the liquid drops can be rapidly and flexibly controlled, and the actual application and rapid development of a digital microfluidic technique are hopefully promoted.

The present invention relates to apparatus and a method for measuring ammonia in biochemical processes, and more particularly to apparatus for real time measuring the amount of ammonia in a liquid with or without suspended solids.

The invention relates to the technical field of oil-gas field development and carbon dioxide underground storage, in particular to a device and a method for surveying a migration law of carbon dioxideduring carbon dioxide flooding and sequestration. The device comprises an injection system, a seal cavity clamping system and an information collection system; a formation condition is simulated inside the seal cavity clamping system, and an injection well and producing wells communicating with the bottom of a formation are arranged over the seal cavity clamping system; the injection system is connected with the seal cavity clamping system and injects a certain amount of carbon dioxide, and the producing wells are used for discharging crude oil to the outside; and the information collection system includes a gas detector and an information data processing computer, and the gas detector and the information data processing computer are in signal connection. The migration law of carbon dioxide can be simulated and obtained, and real-time plugging is performed when the diffusion range of carbon dioxide reaches a leakage threshold value; and a plugging technology is evaluated and has important significance in leakage prevention and sequestration of carbon dioxide in practical production.

The present disclosure discloses a programmable digital I/O system for a PXI bus based on an FPGA and an implementation method thereof. The system and the method dynamically configure a digital I/O interface according to test requirements based on the reconfigurable function of the FPGA, so as to realize the switching of the rate, level, transmission protocol, and transmission direction of a datatransmission, so that the system and the method are more flexible and versatile. The same digital I/O module is used to implement a variety of standard digital test and control functions, so that thedefects of the operation complexity and the impact on the real-time of the data caused by restarting a computer when function modules are switched are avoided, and the research and development cost issaved.

The invention relates to the field of boiler safety in power plants, and discloses a spontaneous combustion pre-warning and fireproofing system for coal stored in a raw coal hopper. The spontaneous combustion pre-warning and fireproofing system comprises a CO sensor, a smoke detector, one or more of temperature sensors, a CO2 gas bottle and a controller, wherein the CO sensor is positioned at the top of the raw coal hopper, and used for detecting the CO concentration at the top of the raw coal hopper; the smoke detector is positioned at the top of the raw coal hopper, and used for detecting the smoke concentration at the top of the raw coal hopper; the temperature sensors are positioned on the outer walls at highly spontaneous combustion points of the raw coal hopper, and used for detecting the temperatures of the highly spontaneous combustion points of the raw coal hopper; the CO2 gas bottle is connected with a first stop valve, and used for supplying CO2 gas; the controller is connected with one or more of the CO sensor, the smoke sensor and the temperature sensors as well as with the first stop valve, and used for controlling the open-close of the first stop valve according to the information provided by one or more of the CO sensor, the smoke sensor and the temperature sensors, so as to ensure that the CO2 gas bottle is communicated with or isolated from the raw coal hopper. Through the adoption of the spontaneous combustion pre-warning and fireproofing system, automatic pre-warning and inerting extinguishment can be realized when the coal stored in the raw coal hopper is subjected to spontaneous combustion.

The invention discloses a laser radar based robot mapping navigation system. The system includes: a mobile robot; a remote workstation, which is connected to a robot control system through a wirelesslocal area network and is used for remote transmission of a robot's movement, scanning, mapping and navigation instructions; a robot control system, which is used for controlling the robot's movement,scanning, mapping and navigation according to the instructions of the remote workstation; a laser radar sensor, which is used for 360-degree rotation to scan the surrounding environment; and a powersupply system, which is used for power supply to the whole system. The invention also discloses a laser radar based robot mapping navigation method. The system and method provided by the invention adopts the laser radar sensor, have high stability and strong real-time performance, and are added with the remote workstation to realize human-computer interaction, fully meet the requirements of robotmapping navigation, solve the shortcomings of the prior art, have stable and reliable implementation way and good universality, and can be widely applied in robot mapping and positioning navigation field.

The invention discloses a multi-park energy scheduling method based on deep reinforcement learning. The method comprises the following steps: S1, constructing a distributed park comprehensive energy system model; s2, using a multi-agent-based deep reinforcement learning algorithm to solve the dynamic scheduling problem of the integrated energy system, and building a multi-agent deep reinforcement learning framework of the distributed park integrated energy system; s3, replacing a target function with a real-time reward function, and searching for an optimal scheduling strategy of the distributed park integrated energy system by utilizing interaction between intelligent agents in each park and the environment; s4, performing scheduling decision making on the trained intelligent agent by using the test set data, and comparing the obtained target cost with the target cost obtained by the integrated energy system model after linearization processing through a solver to prove the effectiveness of the algorithm. The invention further comprises a multi-park energy scheduling system based on deep reinforcement learning. According to the invention, photovoltaic consumption in each park is promoted, and the effectiveness of economic operation of the comprehensive energy system is improved.

The invention discloses a mobile application channel logging and monitoring method, apparatus and system, and a storage medium. The mobile application channel logging and monitoring method includes the steps: receiving the log-in information generated from the mobile application which utilizes the image identification technology to automatically log in any one channel; writing the log-in information into a configuration file; taking the preset monitoring period to read the log-in information in the configuration file; according to the log-in information, generating a verification request and then sending the verification request to a channel service terminal; and receiving the verification result fed back from the channel server so as to determine the log-in situation of the channel. In the scheme of the mobile application channel logging and monitoring method, apparatus and system, the log-in information of the channel is generated from the mobile application which automatically logs in the channel through the image identification technology, so that the problem that manual log-in consumes long time and cannot be monitored in real time is solved; and channel monitoring can be performed through real log-in of the client in the mode of verifying the log-in information, so that the log-in situation of the channel can be reflected truly.

The invention provides a method for fast segmenting a kidney CT sequential image. The method comprises the steps that (1), according to a picture including the kidney part in a given CT image sequence, a gray threshold capable of approximately distinguishing the kidney area and the perimeter area is manually determined; (2), the initial kidney rectangular region of interest (ROI) of the CT sequential image is obtained; (3), the ROI is optimized; (4), the ROI of the current sequential image is segmented through a GrabCut algorithm; (5), TLD tracking is carried out on the sequential CT image through the obtained ROI, and an updated ROI is obtained; (6), the steps 3,4 and 5 are sequentially executed in a circulating mode until the image sequence is finished, and the fast and accurate segmentation of the whole sequential image is completed. The processing area of the segmentation operation is reduced to the maximum degree, and processing speed is improved. The ROI optimizing method is provided for guaranteeing precision, and finally the reliable segmentation result is obtained.

The invention provides a control system and a control method of jet printing equipment, which relate to the technical field of jet printing. The system comprises the jet printing equipment, an RFID (radio frequency identification) label, a consumable storage device and an RFID card reader, wherein the RFID label is fixedly arranged on the consumable storage device; the RFID card reader is fixedlyarranged in a corresponding position, which is used for detachably and fixedly installing the consumable storage device, in a jet printing case; the RFID card reader is used for reading the RFID label; the consumable attribute information of consumables stored in the consumable storage device is stored in the RFID label; the RFID card reader is in communication connection with the jet printing equipment; the consumable attribute information on the RFID label is obtained and is transmitted to the jet printing equipment by the RFID card reader; the consumable attribute information is matched with authentication information stored in the jet printing equipment by the jet printing equipment so as to generate matching results; and the jet printing equipment is controlled to automatically starta jet printing function or shut off the jet printing function according to the matching results. According to the control system, the consumables which are matched with the jet printing equipment canbe used by the jet printing equipment.

The invention discloses a trojan-linking protection method and system based on cloud. The system comprises a cloud service registration module, a trojan-linking link detection analysis module, and a real-time protection module. A web server is registered to a cloud platform through the cloud service registration module. Through DNS agent analysis, requests and response data flows of the web server are all forwarded to the cloud platform for safe processing. The trojan-linking link detection analysis module detects trojan-linking links through analyzing characteristics and behavior information such as webpages and link elements. Request to intercept is conducted on the webpage trojan-linking links through the real-time protection module. The method and system can block trojan linking links in the web server protected by the cloud platform in real time, prevent trojan-linking sources from spreading, does not change browse habits of a client side due to the fact that no installation software needs installing at the client side and a server side, and is transparent in version and configuration of the web server.

The invention discloses an online measurement apparatus and measurement method of the uranium content of a uranium-containing liquid. The online measurement apparatus comprises a bypass pipeline arranged on a technologic pipeline, the bypass pipeline is provided with an alpha detector, and the alpha detector is connected with a counter. The technologic pipeline is provided with the bypass pipeline, the bypass pipeline is introduced to the monitored uranium-containing liquid in the technologic pipeline the quantity of alpha rays emitted by <238>U is measured by the alpha detector on the bypass pipeline and the uranium content is obtained through the quantity of the alpha rays, so large-area and unsafe change of the technology running technologic pipeline is prevented, and online measurement is realized, thereby solving the problems of tedious process, long time and unable realization of real time monitoring, caused by present measurement modes.

The invention aims to provide a real-time plugging device for undersea oil-leaking pipelines. The device is characterized by including a central rod, two guide wheel mechanisms, expansion mechanisms, guide pillars, a clamp basal body, hydraulic cylinders, hydraulic motors and two screw rods, wherein a central block and a top hydraulic cylinder are mounted on the central rod, the central rod is connected with the guide pillars and a first hydraulic cylinder through the central block, the central rod is sleeved by both of the guide wheel mechanisms, the expansion mechanisms are mounted on the central rod and located between the two guide wheel mechanisms, the guide pillars are mounted on the clamp basal body, the two screw rods are also mounted on the clamp basal body, a second hydraulic cylinder is mounted on a first screw rod, and the hydraulic motors are respectively mounted on the two screw rods. The real-time plugging device for undersea oil leakage pipelines provided by the invention achieves underwater unmanned operation, and can plug an oil-leaking undersea petroleum pipeline in a real time manner under the high pressure environment as deep as 1,500m underwater.

The invention relates to an autonomous positioning device and method based on laser radar imaging, belonging to the technical field of positioning navigation. The device comprises a shell, wherein an imaging laser radar, a control memory and an inertial measurement unit are arranged in the shell; the imaging laser radar and the inertial measurement unit are in communication connection with the control memory separately; a clock chip, a matched positioning module and a storage module are arranged in the control memory; the matched positioning module controls the imaging laser radar and the inertial measurement unit to work; and data collected by the imaging laser radar and the inertial measurement unit are uploaded to the storage module. According to the invention, a laser radar imaging technology and an inertial navigation technology are adopted, so operation immunity in a complex environment is greatly improved, and the support-free, all-weather, all-day, full-autonomous and real-time positioning of the vehicle in a driving process can be realized without the support of auxiliary positioning systems such as a satellite system, a communication base station, a radio radar and the like.