141results about How to "Real-time assessment" patented technology

A system and tool for monitoring ground-engaging products for earth working equipment that can monitor characteristics such as part identification, presence, condition, usage, and / or performance of the products on earth working equipment used, for example, in mining, construction, and dredging environments. The monitoring tool includes or is supported by a mobile device that is separate from the earth working equipment. Supporting the monitoring tool on a mobile device can, e.g., provide unique vantage points to monitor the earth working equipment products, monitor the products without inhibiting the operation of the earth working equipment or endangering personnel, closely approach areas of interest for secure and reliable gathering of information, monitor multiple earth working equipment, and / or be protected from the vibrations and impact shocks that can be associated with earth working equipment.

The invention relates to a network security situation assessment method, in particular, a Bayesian network-based multi-step attack security situation assessment method. The method includes the following steps that: multi-step attack generating patterns are mined through association analysis, so that an attack graph can be constructed; a Bayesian network is established according to the multi-step attack graph, attack wills, probability of success of attacks and the accuracy of event monitoring are defined as the probability attributes of the Bayesian network; based on the event monitoring, a multi-step attack risk is calculated according to the posterior reasoning and cumulative probability of the Bayesian network; and the security situations of a host and the whole network are quantitatively assessed according to a hierarchical quantitative assessment method. With the method of the invention adopted, the problem of lack of correlation analysis in a network security situation assessment process can be solved. According to the method of the invention, monitoring events are taken into risk assessment, and a network security situation assessment model is accurately established, and therefore, the effectiveness and real-time performance of the method of the invention can be enhanced.

A product and system for identifying and monitoring a characteristic including the part ID, presence, condition, usage and / or performance of ground-engaging products used on various kinds of earth working equipment.

Embodiments of the invention disclose a video data quality assessment method and an apparatus thereof. The video data quality assessment method comprises the following steps: acquiring a compression distortion parameter of video data; acquiring a frame damage distortion parameter; calculating a video quality parameter according to the compression distortion parameter and the frame damage distortion parameter, wherein the video quality parameter is a difference value of the compression distortion parameter and the frame damage distortion parameter.

The invention provides an online evaluation method for compaction quality of an earth and rockfill dam material and provides an online evaluation method for compaction quality of a dam material, which is suitable for monitoring rolling parameters and compaction effect in real time and taking dam material property into consideration. The compaction quality of the earth and rockfill dam material is comprehensively evaluated in real time; and a technical scheme adopted in the method is that the online evaluation method for the compaction quality of the earth and rockfill dam material comprises the following steps: collecting field test pit experiment results by using a PDA (Personal Digital Assistant); establishing a compaction quality evaluation model; figuring out the compact quality of each grid of the current construction bin surface; next, obtaining the compaction quality in any position of the current full construction bin surface by using a spatial interpolation method; furthermore, analyzing a quality qualified or disqualified area according to a compaction quality control principle, figuring out qualified rate of the compaction quality of the current construction bin surface; and feeding back the qualified rate in time to instruct field construction so as to control construction quality. The online evaluation method for the compaction quality of the earth and rockfill dam material, provided by the invention, is mainly applied to online evaluation of the compaction quality of the earth and rockfill dam material.

Embodiments leverage wireless data passively collected by access points of a school to correlate a student's behavior with respect to time and place. This data-driven approach can quantify student behaviors and objectively measure and track how students move and interact on campus. For example, if a student accesses a wireless router that is in the same physical location as a class on the student's schedule at the time the class takes place, the correlated time and place quantifies how the student behaves with respect to class attendance. The invention takes the sum of such interactions (e.g., attending classes, studying in the library, etc.) and produces a student engagement score (SES) for each student. The SES is evaluated to determine how student behaviors change over time (e.g., throughout a semester) and whether the student is trending to a low engagement score and thus “at-risk” of dropping out.

A product and system for identifying and monitoring a characteristic including the part ID, presence, condition, usage and / or performance of ground-engaging products used on various kinds of earth working equipment.

The invention relates to the technical field of battery detection, and discloses a method and system for quantifying the health state of a battery based on SOC section estimation, so as to improve thefunctions of a battery management system and to provide convenience for the battery management system to evaluate the battery state in real time. The method of the invention comprises comprehensivelyevaluating the health of the battery by using an analytic hierarchy process by using a charging rate as a core in combination with the internal resistance of the battery, and based on the remaining power based on SOC section estimation and the temperature factor. The method and the system for evaluating the battery health state comprehensively evaluate various factors that affect the battery performance, reduce a battery performance change probability during the later use of the battery, and can easily evaluate the performance state and the service life of a battery pack. In addition, the evaluation method can be integrated into the battery management system to improve the functions of the battery management system. The battery management system can conveniently perform routine maintenance detection and evaluation on the battery state in real time.

An embodiment of the invention discloses a method and apparatus for obtaining video coding compression quality. The method may include obtaining video stream information including a video frame type, a video frame size, a frame rate and a bit rate; according to the video stream information, calculating video content complexity including time complexity or space complexity or time complexity and space complexity; and calculating video coding compression quality according to the bit rate, the frame rate and the video content complexity. In the embodiment of the invention, the video coding compression quality is obtained requiring only the video frame information, the bit rate, the frame rate and the video content complexity of a video stream, the video coding compression quality is available for use in subsequent video quality assessment, the complexity of the video quality assessment is greatly reduced and real-time assessment can be achieved. Furthermore, with the influence of video content characteristics (i.e. video content complexity) and the frame rate being considered, the assessed coding compression quality accords better with subjective visual feelings of humans.

The invention relates to a continuous estimation method for the compaction quality of soil and stone materials based on an integrated acoustic detection technique. The continuous estimation method comprises the following steps: measuring by virtue of a conventional point sampling detection method, so as to obtain a field test pit point testing result; establishing and selecting a proper soil and stone material compaction quality evaluation model; calculating the compaction quality of each grid on a current grinding construction operation surface; combining with a spatial interpolation method,so as to obtain the compaction quality of each site on current grinding construction operation full working surface; furthermore, carrying out analysis to determine whether a filling grinding construction region is a qualified region or an unqualified region according to a compaction quality control rule, and calculating the qualification rate of the compaction quality of a current grinding construction region; and timely carrying out feedback so as to guide field construction, and carrying out remedial measures, so as to control the construction quality. By utilizing the continuous estimationmethod, the filling quality of soil and stone materials for filling earth and stone projects can be simply, efficiently, continuously, accurately and comprehensively evaluated, so that the filling quality can be timely fed back and controlled.

The invention discloses a power distribution network fault detection and positioning analysis system. The system comprises a monitoring data collecting module, a fault detection positioning module, amonitoring module and a mobile terminal unit; the monitoring data collecting module is connected with the fault detection positioning module through a communication network, the fault detection positioning module is connected with the fault detection positioning module through a cable, and the fault detection positioning module is connected with the monitoring module and the mobile terminal unit through a GPRS wireless communication module. The system has the advantages that a big polling worker can perform rapid on-site troubleshooting and fault removal, a mobile phone of a line polling worker is used, by means of mobile phone background software of the polling worker, the background software can obtain related information for fault removal, rapid fault recovery and power supply are facilitated, real-time and objective intelligent monitoring, evaluation and fault positioning can be performed on the health state of a power distribution network main device, the automatic degree is high,and the efficiency is high.

An apparatus and method are disclosed for real-time assessment of driver workload by a vehicle device. To determine driver workload, the system monitors the driver interaction with the vehicle device. The driver interaction is then used to determine an estimated driver workload based on the driver interaction. In one embodiment, the vehicle device has one or more buttons configured to be pressed by the driver and each of the one or more buttons has an assigned driver workload value. The system sums the workload value of the buttons pressed by the driver over a moving time window to determine the estimated driver workload.

The present invention provides a technical solution for enabling direct, person to person assistance over a communications network. The methods provide product and system support tools enabling, for example, a purchaser of a product or service to execute a computer program on a computer to establish an intelligently routed request for assistance to a human having knowledge in the area of the particular product or service. In one method, a human user couples a computer readable media associated with a product to a computer. A computer program on the computer readable media checks for, and if need be, installs needed software. The program can then establish a connection over a network such as the Internet directly to the help assistance organization appropriate for the particular product or service. The computer readable media can include an indication of the particular product or service and / or the assumed preferred language of the purchaser of the product or service. The assistance request can be routed to a human assistant, who may be seated at a computer device. In a preferred method, the human assistant greets the request for assistance and the human user with a live, personal, updated video link carrying the assistant's voice and a video signal carrying the assistant's image to the computer of the help requestor. The assistant may obtain preliminary information from the human user, and begin rapidly to provide assistance in a 'face to face' virtual environment. Where the product involved is a computer related product, the human assistant may optionally view the same computer display as the human user and even manipulate the display to illustrate the performance of a particular software product.

The invention discloses a monitoring and evaluation system of electrostatic deduster operation efficiency, and specifically relates to a system which is used to monitor on-line working condition of the electrostatic deduster and to evaluate a grade of working efficiency of the electrostatic deduster. The scheme in the invention includes that: a central processor is respectively connected with a high-voltage electric-field current signal collection interface, a high-voltage electric-field voltage signal collection interface, a smoke and dust flow velocity signal collection interface, a storage, a transmission interface, a display, an alarm and power supply through leads; in an automatic checkout device, a high-voltage electric-field current signal collector is connected with the high-voltage electric-field current signal collection interface, a high-voltage electric-field voltage signal collector is connected with the high-voltage electric-field voltage signal collection interface, a smoke and dust flow velocity signal collector is connected with the smoke and dust flow velocity signal collection interface. The invention is used for monitoring the working condition of the electrostatic deduster.

The invention discloses a software defined network security situation assessment method. The advantages of SDN (software defined network) control and direct and quick information collection are combined, an open SDN security situation assessment framework is provided on account of three kinds of attacks of an SDN forwarding surface, the security framework closely fits a framework of an SDN controller, an anomaly detection module extracts characteristic indexes according to the SDN and various attack characteristics, an SVM (support vector machine) classification algorithm is selected for identification, and attack pre-judgment is given. A security situation assessment module performs quantitative assessment on network security situations according to information collected by the anomaly detection module, and attack sensitivity and noise resistance of an assessment system are regulated through setting of a threshold value. Different weights are allocated to different attacks based on an AHP (analytic hierarchy process) so as to fit out a comprehensive security situation of the network. The method is flexible and simple, attach behaviors can be detected accurately, the quantitative assessment of the security situations of the network is given, and monitoring and assessment of the security status of the SDN forwarding surface are realized with lower cost.

The invention discloses a power grid recoverability assessment method based on a multi-agent technology. The method comprises the following steps: a dynamic frame model of a multi-agent-based power grid recoverability assessment factor is constructed, wherein the dynamic frame mode at least comprises a recoverability index intelligent agent alliance, a disaster-pregnant environment intelligent agent alliance and a supporting body intelligent agent alliance; and intelligent agent assessment models matching the intelligent agent alliances are established respectively, and the intelligent agent assessment models can input power grid information of a preset monitoring area in advance and repeatedly perform the following process in a determined assessment time interval after a disaster occurs until a power grid of a disaster area back to normal power supply, wherein the process is as follows: disaster data is obtained in real time, recoverability is scored and saved after data abstraction is performed on a current condition of the power grid of the disaster area, and a recovery motion is performed on the power grid of the disaster area through a rule base. Real-time dynamic assessment for recoverability of a dynamic process of failure recovery is achieved.

The present invention relates to a RFID-to-Bluetooth selective adapter, comprising a customized RFID repeater, a RFID repeater with opening and closing switch, a RFID sensor coil and a Bluetooth module. The Bluetooth module has an electronic removing repeating read storage. The RFID Bluetooth repeater can be installed at the RFID door lock to allow the RFID door lock to operate in two different operation modes without interference and includes a RFID mode and Bluetooth mode so as to allow the RFID Bluetooth repeater to be arranged at the wireless radio frequency identification and to be used for a smart phone for usage. The device of the wireless radio frequency identification can be a RFID intelligent door lock.

The invention discloses a tailings safety monitoring method based on an evolved neural network. The tailings safety monitoring method includes the following steps that (1), historical data are obtained, and meanwhile a tailings curve model is constructed according to the curve modeling principle; (2), a neural network prediction model is built and evolved by using the historical data; (3), an evolution individual is determined and optimized by adopting a high-dimensional optimization evolutionary algorithm to obtain a mature prediction model; (4), data are collected in real time to serve as node data of an input layer of the mature prediction model obtained in the step (3), and tailings parameters after the interval time delta t are predicted; (5), if an output value of the tailings curve model exceeds a set warning value, an early-warning signal is sent out. According to the tailings safety monitoring method, the data measured in advance and the data measured in real time are synthesized, the development trend of the main safety parameters of a tailings pond is effectively predicted, and therefore early-warning is brought forward greatly.

The invention relates to the field of mobile communication technologies, in particular relating to a method for assessing the coverage rationality of a mobile communication base station. The method comprises the following steps: firstly, collecting measurement result records and neighborhood support measurement data during the communication process of a mobile subscriber and gathering data of traffic handover; and secondly, screening out cells at which time lead is too big, the portion of downlink weak signal traffics is over high or the portion of downlink traffics with bad quality is over large; screening out cells which detects a greater number of other cells according to the neighbor support measurement data; and screening out main cells in which a greater number of neighbor cells having handover application number exist according to the statistical data of traffic handover. By utilizing the method, the coverage condition of the mobile communication base station can be assessed effectively in real time without the influence from geographical factors or other factors, therefore, an operator can timely get information about the condition of a mobile communication network and reasonably appoint personnel for network optimization.

The invention relates to a spectrum data evaluation method for a same-vehicle multi-machine communication system, which is characterized in that the spectrum data evaluation method at least comprises an initialized step and a real-time use step; in the initialized step, the coupling degree of devices of a communication vehicle is calculated, the modeling of a vehicle body and an antenna is carried out at first in step 101, equipment spectrum parameters are set in the step 102, then the platform coupling degree of the communication vehicle is calculated through a moment method and a fast multipole method in the step 103, and the calculated coupling degree result is saved in the step 104 finally; and in the real-time use step, the spectrum data of the same-vehicle multi-machine communication system is evaluated, equipment spectrum and property information is obtained at first in the step 105, the device-level interference evaluation of the saved coupling degree parameters obtained in the step 104 and the equipment spectrum and property information is performed in the step 106, the system-level comprehensive evaluation is performed according to the equipment evaluation results obtained in the step 106, and an evaluation report is generated in the step 108 finally.

A system is connected to a plurality of user devices coupled to an enterprise's network. The system continuously collects, stores, and analyzes forensic data related to the enterprise's network. Based on the analysis, the system is able to determine normal behavior of the network and portions thereof and thereby identify abnormal behaviors within the network. Upon identification of an abnormal behavior, the system determines whether the abnormal behavior relates to a security incident. Upon determining a security incident in any portion of the enterprise's network, the system extracts forensic data respective of the security incident and enables further assessment of the security incident as well as identification of the source of the security incident. The system provides real-time damage assessment respective of the security incident as well as the security incident's attributions.

The invention relates to the technical field of optoelectronic devices and discloses an angular accuracy computing and tracking accuracy assessing system and method. The system comprises a timing system unit, a data processing component, a rotating shaft system, a collimator component and an adjustable reflecting mirror. The collimator component and the adjustable reflecting mirror are arranged on a rotating arm of the rotating shaft system and are adjusted dynamically. The data processing component uses signals of the timing system unit for computing angular accuracy and accessing tracking accuracy according to motion data information of the rotating shaft system and target data information sent by an optoelectronic device to be detected. According to the system and method, testing covering most part of a view field can be completed only in an inner field, data analysis can be completed quickly, compared with an outer field fly-detecting testing mode, implementation cost is very low, implementation difficulty is small, and testing accuracy is high.

The invention provides a driving behavior evaluation method and device. The method comprises steps that vehicle driving data of a to-be-evaluated travel is acquired, and the vehicle driving data comprises alarm data of multiple driving index items; the to-be-evaluated travel is segmented according to a preset time interval to acquire at least one travel segment corresponding to the to-be-evaluated travel; based on a preset evaluation model, safety propensity values of the corresponding travel segments are determined according to the alarm data of multiple driving index items contained in each travel segment; an evaluation result of the to-be-evaluated travel is generated according to the safety propensity values of the at least one travel segment. The method is advantaged in that the evaluation result is more accurate, and evaluation rationality and reference values are improved.

The invention provides an intelligent well drilling system and method and belongs to the field of petroleum and natural gas well-drilling. The intelligent well drilling system comprises a ground system, a downhole system and an intelligent well drilling control platform. The ground system comprises a coiled tubing vehicle set, a coiled tubing control platform, a coiled tubing roller, a lower sleeve derrick, an injection head, a rotating control head and matching blowout-prevention equipment. The coiled tubing control platform and the coiled tubing roller are arranged on the coiled tubing vehicle set, and the lower sleeve derrick is arranged on the upper portion of a wellhead. The injection head, the rotating control head and the matching blowout-prevention equipment are sequentially connected from top to bottom and then arranged at the wellhead. The downhole system comprises coiled tubing with a cable, a wet joint and a downhole intelligent pipe string. One end of the coiled tubing with the cable is wound around the coiled tubing roller, and the other end of the coiled tubing with the cable sequentially penetrates through the injection head, the rotating control head and the matching blowout-prevention equipment and then enters the wellhead to be connected with the downhole intelligent pipe string through the wet joint.

The invention discloses a paging black hole cell locating method based on a signaling of an interface A, which comprises the steps of: at first, acquiring the signaling of the interface A in a GSM (Global System for Mobile communication) network, performing collection, decoding and correlation analysis via a server to generate a call detail record (CDR), and adding the CDR to a signaling database; then performing correlation analysis on signaling information in the signaling database to obtain a statistical analysis result, and sorting out paging black hole cells according to the statistical analysis result in order to obtain a list of the paging black hole cells; and finally locating the position and distribution of the paging black hole cells according to the list of the paging black hole cells. In the method, the condition of paging black holes in a network and cells in which paging failure occurs specifically are counted through the analysis based on relevant signaling data information of the interface A, thus operators can be aware of the condition of mobile communication network in time, and rapid positioning of network optimization personnel is facilitated so as to enhance optimization efficiency.

The invention discloses a traffic jam analysis method based on millimeter wave radar and video detection. A video monitoring camera is used for obtaining road images in a view field, recognizing vehicle movement conditions, measuring data such as the number of vehicles and lanes in the view field, a millimeter-wave radar is used for detecting vehicle positions and vehicle running speeds, road congestion indexes are calculated through obtained traffic flow data, quantitative parameters of the congestion degree are obtained, and furthermore, the traffic jam condition is analyzed. The traffic jam degree is analyzed according to the traffic flow data, the road condition is evaluated intelligently and quickly in real time, the guidance and evacuation of traffic jam are facilitated, the road condition is improved, and the travel efficiency of citizens is improved.

The invention discloses a workload evaluation device. The device comprises a workload analysis module, a workload database module, a workload difficulty analysis module, and a workload evaluation module. The workload analysis module is used for receiving and analyzing workload content submitted by an engineer, wherein the workload content at least includes a solved technical problem, the time used, and the modification position and modification content in problem solving. The workload database module is used for receiving and storing all submitted workload content. The workload difficulty analysis module is used for analyzing the submitted workload content to determine the completion difficulty of the workload content, wherein the analysis content at least includes whether the workload content is stored in a technical problem database module, and the amount of modification of the modification content. The workload evaluation module is used for evaluating the workload content submitted by the current engineer according to the analysis result of the workload difficulty analysis module. With the device, the workload of employees can be evaluated in a concise, accurate, fair, automatic and real-time manner, and the work enthusiasm of employees can be improved.

The invention relates to a frequency data evaluation for a cluster vehicular communication system. The method at least comprises an initial step and a real time use step, wherein the initial step comprises the following steps: step 101, carrying out vehicle body and antenna molding for a communication vehicle; step 102, setting frequency parameters for equipment; step 103, carrying out communication vehicle platform coupling degree calculation by adopting a moment method and a fast multipole method; and step 104, storing the calculated coupling degree result; and the real time use step comprises the steps of evaluating frequency data for the cluster vehicular communication system, including the step 105, setting an environmental geographic information; step 106, obtaining the frequency and characteristic information of equipment and obtaining the coupling degree parameters stored in the step 104; step 107, carrying out equipment level interference evaluation; step 108, carrying out comprehensive evaluation on system level according to the equipment evaluation result obtained in the step 106; finally carrying out step 109, to generate an evaluation report, thereby realizing the real time evaluation on the frequency compatibility of the frequency of the cluster vehicular communication system.

The invention discloses a wearable multifunctional cervical vertebra rehabilitation power exoskeleton, and relates to the field of human-computer interaction rehabilitation assistive devices. The wearable multifunctional cervical vertebra rehabilitation power exoskeleton comprises an active driving motor module, a fixed support module and a movable joint assembly, wherein the active driving motormodule is connected with the fixed support module, the active driving motor module comprises a left shoulder push rod motor, a right shoulder push rod motor, a cervical vertebra and thoracic vertebraleft front side push rod motor, a cervical vertebra and thoracic vertebra left rear side push rod motor, a cervical vertebra and thoracic vertebra right front side push rod motor and a cervical vertebra and thoracic vertebra right rear side push rod motor, and the active driving motor module and the movable joint assembly are combined into a six-link power driving structure. By means of the implementation of the wearable multifunctional cervical vertebra rehabilitation power exoskeleton, four-degree-of-freedom rehabilitation exercises of passive traction, anteflexion and posterior extension, lateral flexion and horizontal rotation of the cervical vertebra are achieved, traction training of the neck and directional resistance training of neck muscles are conducted, the neck muscle strengthis improved, the stability of the cervical vertebra is enhanced, and the biomechanical balance of the cervical vertebra is improved and corrected.

The invention discloses a method for quickly evaluating pollution of heavy metal in paddy soil. According to the method, the content of heavy metal in a paddy root system is measured by FPXRF (field portable X-ray fluorescence) so as to evaluate the pollution of the heavy metal in the paddy soil. The method comprises the following concrete steps: (1) pre-treating the acquired paddy root system; (2) performing extraction on the pre-treated paddy root system by a sodium hydrosulfite-sodium citrate-sodium bicarbonate process; (3) measuring the concentration of one or more heavy metal in extraction liquid by the FPXRF; (4) calculating the content of one or more heavy metal in the paddy root system according to the measurement value in the step (3), and further evaluating the pollution of the heavy metal in the paddy soil. The method has the characteristics of quickness, economy and high accuracy, and an effective evaluation method is provided for detecting food safety and soil heavy metal.