44results about How to "Guaranteed real-time accuracy" patented technology

The invention discloses a multi-point overall pushing steel box girder construction method, which belongs to the field of bridge engineering. The invention adopts tooth plates with tooth grooves on the steel box girder and the web of the guide beam, and uses the jack to provide jacking force, wherein the piston rod of the jack is provided with a slide block, and the slide block is provided with a ratchet block with a slope And its control spring, its inclined surface is located at the side of the jack, and the thrust of the steel box girder and the guide beam is applied to the steel box girder and the guide beam by the thrust of the jack, and the ratchet will withdraw from the tooth groove and enter the next thrust in the return stroke; The jack provides support and adjusts the elevation of the corresponding point. At the same time, displacement sensors and pressure sensors are installed on the jack and the jack to collect real-time information, so as to control the process of pushing. The invention has less steel consumption, controllable support reaction force and thrust, and can well solve the problem of steel box girder rotation angle.

The invention discloses a testing method for determining microquake wave velocity in real time and is applicable to microquake positioning and monitoring of various rock projects including mines, oil and side slopes. By utilizing microquake sensors of a microquake monitoring system and artificial explosion of a given seismic hypocenter, the microquake wave velocity is determined in real time. The testing method includes steps of accurately measuring spatial coordinates of the microquake sensors and the artificial explosion events within a spatial coordinate system of the microquake monitoring system; setting the microquake sensor firstly triggered as a control object when microquake waves monitored by the microquake sensors in the microquake monitoring system are picked up, and inverting the microquake wave velocity in real time by means of the arrival time difference between the other microquake sensors and the first-triggered microquake sensor and the distance difference between the microquake sensors and the artificial explosion hypocenter. In the wake of mining engineering, the testing method can accurately acquire the microquake wave velocity in real time, labor and financial consumption caused by remounting of the microquake sensor is avoided, and the testing method is simple in operation, economic and feasible.

The invention provides a feature extraction method applicable to a corner weld of a laser vision guided welding robot. The method can obtain the corner angle and the weld point coordinates of the corner weld. The method comprises the following steps: in the part of determination of the corner angle, collecting the corner images with feature light strips of the welding robot in two poses, and then fitting the equations of two corner surfaces to determine the corner angle; and in the part of extraction of weld points, first cutting out ROI zones, then conducting median filtering, binaryzation and thinning, and then extracting light strip straight lines by virtue of Hough transformation and recognizing the weld points. The determination of the corner angle is beneficial to effectively coordinating the welding robot to determine the poses at the beginning of welding; an effective reorganization method of the weld points ensures real-time and accurate extraction of the welding points; and the feature extraction of the corner weld is complete, is of great significance to the practical welding link process, and has favorable practicability.

The invention relates to a network locating method for wireless sensors, which is mainly used for solving the locating problem of each node in a wireless sensor network. The device comprises two nodes which are a beaconing node and a common node. The two nodes are respectively characterized in that: the beaconing node is provided with a GPS locating module and a wireless communicating module, andis used for receiving the GPS data transmitted by the GPS satellite network and decoding the telegraph message; a service network is made up of a plurality of beaconing nodes so as to provide locating service for the common node through the wireless communicating module; a processor module completes the GPS signal analysis and transmits the locating information through the wireless module; the common node collects the sensor data and sends the sensor data to a upper layer of node after processing; and at the same time the common node acquires the service to complete self-location from the locating network consisting of the beaconing nodes, and ensures the processing and transmitting of the locating information according to the needs.

The invention relates to an operator alarm processing capability level model building method and device, an operator accessing method and device, an alarm information processing method and device, andan alarm processing system. The operator alarm processing capability level model building method comprises the following steps: acquiring historical operator associated alarm information, wherein thehistorical operator associated alarm information is statistical abstract data of generated alarm information corresponding to an operator; building a linear correlation model which is correlated withthe operator associated alarm information; and solving the linear correlation model according to the historical operator associated alarm information to obtain an association relationship model of anoperator alarm processing capability level and the operator associated alarm information. Through adoption of the operator alarm processing capability level model building method and device, the operator accessing method and device, the alarm information processing method and device, and the alarm processing system, resources can be allocated reasonably.

The present application provides a method and system for self-adaptive image true color restoration, the method includes: training according to the pixel gray value of the reference object in the training set and the true color information of the reference object to obtain the image captured under the condition of environmental spectral information The corresponding relationship between the pixel gray value and the image true color information; receive the current captured image of the imaging device and the current environmental spectral information of the spectral probe balanced with the optical axis center of the imaging device; analyze the current captured image to obtain the gray level of each pixel of the current captured image value; according to the corresponding relationship between the pixel gray value of the captured image under the current environment information and the true color information of the image, the pixel gray compensation value of the current captured image is obtained; according to the pixel gray compensation value of the currently captured image and the value of each pixel of the current captured image The grayscale value is the restored image of the currently captured image. The invention can quickly and accurately restore image color.

The invention relates to a high-precision tracking method applied to a non-engine maneuvering target. According to the method, firstly, a target motion model containing system adaptive parameters is built according to the non-zero mean time relevant random process characteristic met by the accelerated speed in the actual target motion; secondly, the target motion characteristic is predicated according to the built target motion model; then, the current state estimation value of the target is calculated through utilizing the target state predicating value and the radar observation data value; and finally, the system adaptive parameters are corrected according to the accelerated speed estimation value of the target, the corrected system adaptive parameters are utilized for updating the target motion model, and the updated target motion model is utilized for carrying out next predication and estimation. The method has the advantages that the target with the non-engine maneuvering random character realizes the online estimation, the accuracy of a maneuvering target model for describing the actual motion characteristics is improved, and the tracking precision of the non-engine maneuvering target is improved.

A real-time and efficient distributed semi-physical simulation system construction method comprises seven steps that a simulation system and a semi-physical simulation interface are respectively arranged on different host computers to form a distributed semi-physical simulation system together with a physical system; the semi-physical simulation interface is arranged as a time-controlled member; the host computer of the semi-physical simulation interface is connected with a global position system (GPS) receiver through a serial port, and the serial port is initialized; a program main thread of the semi-physical simulation interface is in clock synchronization with a GPS; the program main thread of the semi-physical simulation interface sends synchronization information packets to the simulation system and the physical system regularly; clock synchronization among all members of the semi-physical simulation system is achieved; and communication data processing is achieved by a program auxiliary thread of the semi-physical simulation interface. According to the real-time and efficient distributed semi-physical simulation system construction method, computing resources and system overheads are saved, a layered mixing clock synchronization method is adopted to enable a simulation time and the astronomical time to be in a specified constrained relationship, communication data interaction and processing are achieved, and instantaneity of large-scale and complicated semi-physical simulation systems is guaranteed.