37results about How to "Reduce the amount of analysis" patented technology

The invention provides a reliability evaluation method for an active power distribution network based on switch boundary subarea division. The reliability evaluation method comprises dividing the area containing the active power distribution network into nine subareas according to the installation positions of switches; according to reliability calculating expressions corresponding to different fault subareas, calculating the duration of power interruption, which is caused by a fault point corresponding to a feeder line of a fault, of a load point, the calculation comprising: calculating the interruption fault rate and interruption duration of the fault point in areas without power supply of a distributed power source, and calculating the interruption fault rate and interruption duration of the fault point in areas with power supply of the distributed power source; and measuring system reliability through calculating annual fault interruption rate and annual average interruption time of the load point, specially, measuring system reliability by adopting a system average interruption frequency index SAIFI and a system average interruption duration index SAIDI. The method of the invention reduces analysis amount, can accurately evaluate reliability of the power distribution network containing a distributed power source and provides reliability evaluation basis for development of Chinese active power distribution networks in the future.

The invention discloses a network performance analysis method and device for automatic analysis for network performance correlation. The invention also discloses a network failure positioning method and device based on network performance analysis for reducing analysis quantity for positioning network failure, promoting accuracy of positioning result. The network performance analysis method comprises: setting time range, distance range and network attribute according to network performance analysis demand; determining correlated attribute of network attribute according to network fluctuation information in distance range received in time range; establishing specimen matrix model of every network affair according to association of every network affair with related network affair to which network attribute corresponds in time range and distance range; generating network attribute matrix model according to specimen matrix model of every network affair, the matrix model is used for describing network attribute in time range and distance range and probability of occurrence of related attribute.

The invention discloses a pedestrian detection system and method based on adaptive clustering analysis. The system comprises a laser distance measuring device and a microcomputer part, wherein the laser distance measuring device is connected with the microcomputer. The microcomputer part comprises a laser scanner module, a laser data pre-processing module, a pedestrian detection module and a pedestrian identifying module. An adaptive clustering analysis method is adopted, so that the pedestrian system and method have the advantages of eliminating man-made interference, improving the reliability and robustness of pedestrian detection, and providing better support for pedestrian safety protection on the intelligent traffic background. Further, in the pre-processing process, redundant laser point cloud data irrelevant with the detection are removed, so that the pedestrian detection system and method have the advantages of reducing data analysis amount and improving the operation efficiency of a whole system.

The invention discloses a missile and carrier rocket modal test method comprising the method of vibration mode decoupling measurement sensor arrangement and multi-exciter excitation combination. Vibration mode decoupling measurement sensors are arranged in three quadrant lines of the external side of a missile or carrier rocket structure, wherein one quadrant line adheres two-way sensitive sensors and the other two quadrant lines adhere one-way sensitive sensors; the vibration mode data of the modal at excitation points are extracted; a data table of correspondence of the numbers of the excitation points and the vibration mode data is established; the absolute values of the vibration mode data of the data table are ordered in a decreasing way and bound with the number order of the excitation points; the numbers of the first and second excitation points and the symbols of the corresponding vibration mode data are extracted; and the situation that the optimization scheme aims at the same excitation position is merged so that the optimized excitation combination is obtained. The number of sensor measurement channels is reduced, the effectiveness of data acquisition is enhanced, the data volume of data acquisition is reduced and the difficulty of data analysis and processing is reduced.

The invention relates to the special device maintenance technology field and particularly relates to a method and system for monitoring field maintenance of a special device. The method comprises steps that A1), target special device file data is synchronized to the field device; A2), maintenance project monitoring starts, the field device begins collecting field data, ongoing maintenance projectsare identified, and whether the ongoing maintenance projects are proper-process maintenance projects is determined, if yes, the field data are continuously collected till the maintenance projects arecompleted, if not, a warning is issued, and this step restarts; and A3), data interaction between the field device and a big data server is carried out. The method is advantaged in that 1, project level monitoring in the project maintenance process can be carried out, the amount of monitoring data required for analysis is reduced, and monitoring efficiency is improved; and 2, field data collection items are added in the maintenance project monitoring process, and training data is provided for a neural network model.

The invention provides a workpiece grabbing method and device based on a vision system and relates to the technical field of workpiece grabbing. The method comprises the steps that actual image information of a workpiece collected by the vision system is received and subjected to fitting comparison with preset image information of the workpiece, correction data of the actual image information andthe preset image information of the workpiece is obtained, and an actual movement path of an execution mechanism when grabbing the workpiece is analyzed according to the correction data; and the execution mechanism is controlled to move to the grabbing position along the actual movement path, and according to preset grabbing action information of the execution mechanism when grabbing the workpiece, the execution mechanism is controlled to move to grab the workpiece. By adopting a pre-processing technology in background, the data analysis volume is low, and the response and operation time of the system is greatly shortened, which helps to shorten the takt of automation production. Therefore, the production efficiency and yield of a production line are improved.

The invention relates to escalation to a human operator. Methods, systems, and apparatus, includes computer programs encoded on a computer storage medium, relating to synthetic call initiations and bailouts. In some implementations, a method includes analyzing, by a call initiating system, a real-time conversation between a first human and the bot during a phone call between the first human on a first end of the phone call and the bot on a second end of the phone call. The call initiating system can determine, based on the analysis of the real-time conversation, whether the phone call should be transitioned from the bot to a second human on the second end of the phone call. In response to determining that the phone call should be transitioned to a second human on the second end of the phone call, the call initiating system transitions the phone call from the bot to the second human.

The invention discloses an oil-immersed transformer fault data preprocessing method based on multiple stages. The method comprises the steps of acquiring the oil-immersed transformer data, carrying out isolated point detection on the oil-immersed transformer data, and preprocessing the oil-immersed transformer data according to the isolated point detection result to obtain the data set to be analyzed. Therefore, the data preprocessing is realized. According to the method disclosed by the invention, isolated point detection is carried out on original data by utilizing a clustering algorithm, rules are established according to related guide rule standards of the transformer, and pseudo-error data is eliminated, so that the misinformation data volume is greatly reduced, the fault diagnosis analysis quantity is reduced, and the workload of engineering personnel is reduced. The data collection agreement construction rule II is used for judging whether defects and redundancy exist or not, data is compensated through a data filling algorithm and a data reduction method, and the data quality is improved.

The invention discloses an auditing method for screening round entry events. The auditing method includes the steps: S1 compressing logs according to preset time granularity and key content classification by a classified compression engine to obtain a compression table; S2 screening class round events in the compression table by a screening auditing engine to obtain non-class round events in the compression table, and acquiring round logs 4A by the non-class round events; S3 decompressing parts of the round logs 4A by a decompression engine according to preset decompression rules; S4 displaying the round logs 4A in a combined manner. Parts of the parts of the round logs 4A do not comfort to other abnormal event auditing rules. By the auditing method, the class round events and the non-class round events can be effectively distinguished, auditing result misjudgment is decreased, mass round events can be rapidly and visually displayed, auditing manpower and time investment is reduced, and auditing efficiency is improved.

Methods and apparatus are provided for filtering, collecting, and analysing location data for a plurality of devices in a wireless network (e.g. mobile networks) for use in a mobility analysis of a group of the devices. Location data for one or more devices is received, for each device the location data includes a unique identifier. Determining whether the devices belong to the group of devices based on the unique identifier. The location data of devices determined to belong to the group of devices are stored and used in the mobility analysis and the results distributed accordingly. A relevancy analysis may be performed on the stored location data of devices determined to belong to the group of devices in which device information is generated that is associated with devices not belonging to the group of devices. The device information is fed back for use in determining whether the devices belong to the group of devices based on the unique identifier. Information relating to whether devices belong to a group of devices may be stored and maintained in a device database. Location data of devices determined to belong to the group of devices may be stored and maintained in a location database.

The invention relates to a data processing technology, and discloses a big data-based equipment operation condition analysis method, which comprises the steps of obtaining an operation data set of equipment and performing data cleaning to obtain a cleaning data set; extracting operation characteristic data of the cleaning data set to obtain an operation characteristic data set; calculating an operation characteristic value of the operation characteristic data set; when the operation characteristic value is within a preset alarm threshold interval, pushing an alarm state; when the operation characteristic value is greater than the upper limit of the alarm threshold interval, judging the fault type of the equipment according to the operation characteristic data set; and querying a fault solution corresponding to the fault type, and pushing the fault type and the fault solution. The running state can be stored in a block chain. The invention further provides a big data-based equipment operation condition analysis device, electronic equipment and a computer readable storage medium According to the invention, early warning can be carried out on the equipment operation state in advance and the equipment operation state analysis efficiency is improved.

The invention discloses a spraying production monitoring data storage and feature analysis method and a spraying production monitoring data storage and feature analysis device. The method comprises the steps of supplementing missing values in monitoring data, conducting scaling operation, and obtaining standardized data; mining linear correlation coefficients, and screening data features; determining a network topology structure and constructing a model; initializing and determining a fitness function; training the individual; calculating individual fitness; judging whether the evolutionary frequency is reached or not, if so, obtaining an optimal weight and an optimal threshold, otherwise, carrying out selection, crossover and variation; calculating output values and output errors of the hidden layer and the output layer; judging whether the output error meets the precision requirement or not, if yes, converting the output value into a prediction result and outputting the prediction result, and otherwise, reversely adjusting the weight and the threshold of each layer. According to the method, the data analysis accuracy is improved, the data analysis amount is reduced, the data analysis and prediction efficiency is improved, the error rate, the maximum error and the average error are reduced, the spraying production cost is reduced, and the spraying efficiency and effect are improved.

The invention discloses an electric arc welding quality evaluation method and device and a storage medium. The method comprises the steps: acquiring a welding current signal and a welding voltage signal; according to a symbol approximate aggregation algorithm and a distance algorithm, acquiring the voltage and current distance data through the welding current signal and the welding voltage signal; inputting the voltage and current distance data into an evaluation model to obtain a welding quality evaluation label, wherein the evaluation model is obtained through training of training sample data, and the training sample data comprises training sample voltage and current distance data and a training sample welding quality preset evaluation label. According to the scheme provided by the embodiment of the invention, the electric arc welding quality can be effectively evaluated by analyzing the voltage signal and the voltage and current distance data, the data analysis amount can be effectively reduced through the symbolic approximate aggregation algorithm, the working efficiency is improved, the precision of the evaluation model is high, and the welding quality can be evaluated in real time.

The invention relates to a coding and decoding quality test method and device, computer equipment and a storage medium. The method comprises the following steps of: in response to a test request for a to-be-tested product, acquiring to-be-analyzed audio data and to-be-analyzed video data output by the to-be-tested product; performing frame extraction on the to-be-analyzed audio data and the to-be-analyzed video data to obtain at least one to-be-tested video frame with a timestamp and at least one to-be-tested audio frame with a timestamp; extracting a sample video frame having the same timestamp as the to-be-tested video frame from the sample data, and comparing the sample video frame with the to-be-tested video frame to obtain image similarity; extracting a sample audio frame having the same timestamp as the to-be-tested audio frame from the sample data, and comparing the sample audio frame with the to-be-tested audio frame to obtain audio similarity; and if the image similarity reaches an image similarity threshold and the audio similarity reaches a first audio similarity threshold, determining that the coding and decoding quality of the to-be-tested product is qualified. By adopting the coding and decoding quality test method, the coding and decoding quality testing efficiency can be improved.

The invention discloses a motor vehicle overloading determining method. The method includes the following steps: when a traveling vehicle is in contact with a lower pressing plate, the lower pressing plate is driven to move downward and is in contact with a pressure sensor. The pressure sensor transmits pressure data detected to a controller which commands a camera A, a camera B and a camera C to separately photograph the license plates of traveling vehicles which pass by so as to collect overloading of traveling vehicles. The lower pressing plate cooperates with a pressure spring, which can reduce impact on the pressure sensor imposed by transient pressure produced when the contact between a vehicle and the lower pressing plate occurs, and when the pressures measured by the pressure sensor are within different ranges, the camera A, the camera B and the camera C separately photographing the license plates of the traveling vehicle, recording the overloading of the vehicle, helps traffic management departments to punish the overloading accordingly, maximizes the protection of highways and relevant facilities, reduce overloading of vehicles, and keep roads safe and unimpeded.

The invention discloses a working mode analysis method of a complex power electronic converter. The working mode analysis method comprises the following steps that 1) elements contained in the converter are drawn into a tree diagram; 2) the elements in the tree diagram are classified into different grades; 3) the on-off state combinations possibly existing in all the switching elements in each stage are listed; 4) the on-off state combinations in each stage are overlapped with non-switching elements respectively; 5) different grades of elements are overlapped, and a new mode is obtained aftereach superposition is carried out; 6) screening is carried out on the model states, and invalid modes are removed; and 7) the effective modes are combined according to the actual current flowing condition, and the types of the effective working modes of the converter are obtained. All the working modes of the electric power electronic converter can be obtained, and the recognition of the modes iscomprehensive and simple, so that the method can be used for analyzing a circuit mode of a multi-switch power electronic converter.

The invention provides a workpiece grasping method and device based on a vision system, and relates to the technical field of workpiece grasping. The method receives the actual image information of the workpiece collected by the vision system, and combines the actual image information with the preset image of the workpiece. The information is fitted and compared, the correction data of the actual image information of the workpiece and the preset image information are obtained, and the actual movement path of the actuator to grab the workpiece is analyzed according to the correction; the actuator is controlled to move to the grasping position along the actual movement path, And according to the preset grabbing action information of the actuator to grab the workpiece, control the action of the actuator to grab the workpiece; the background pre-processing technology is adopted, the amount of data analysis is small, and the time occupied by the system response and calculation is greatly shortened. It is beneficial to shorten the takt of automatic production, thereby improving the production efficiency and output of the production line.

The invention discloses a network performance analysis method and device for automatic analysis for network performance correlation. The invention also discloses a network failure positioning method and device based on network performance analysis for reducing analysis quantity for positioning network failure, promoting accuracy of positioning result. The network performance analysis method comprises: setting time range, distance range and network attribute according to network performance analysis demand; determining correlated attribute of network attribute according to network fluctuation information in distance range received in time range; establishing specimen matrix model of every network affair according to association of every network affair with related network affair to which network attribute corresponds in time range and distance range; generating network attribute matrix model according to specimen matrix model of every network affair, the matrix model is used for describing network attribute in time range and distance range and probability of occurrence of related attribute.

The invention discloses a rotary rock-fill triaxial dry-wet cycle test device and a test method. The device comprises a rotary triaxial apparatus, an air circulation system, a liquid circulation system, an acoustic emission system, a CT device and a computer control system. A pipeline is arranged at the bottom of a triaxial container and penetrates out of the shell base of the triaxial apparatus, and an outlet is communicated with the air circulation system and the liquid circulation system after being branched and is communicated with the top of the triaxial apparatus container after being circulated. A pressure chamber is provided with a pressure pipe and is controlled by a pressure control system; and a loading rod, the pressure control system, the CT device and the acoustic emission system are all connected with the computer control system. According to the test device, through coupling of the CT device and the acoustic emission device, rockfill particles can be automatically scanned, research on position changes and crushing conditions of the rockfill particles in a three-axis stress state after dry-wet circulation is facilitated, and monitoring of ion exchange reaction of rockfill particle materials and water in the dry-wet circulation process is facilitated.

The present invention relates to the technical field of special equipment maintenance, in particular to a method and system for on-site maintenance monitoring of special equipment, comprising the following steps: A1) synchronizing target special equipment file data to on-site equipment; A2) enabling maintenance project monitoring, on-site equipment Start collecting field data, identify ongoing maintenance projects, and judge whether the ongoing maintenance project is a maintenance project with the correct process. If so, continue to collect field data until the maintenance project is completed. If not, issue a warning and Start this step again; A3) The field device performs data interaction with the big data server. The substantive effects of the present invention are: 1. Project-level monitoring can be carried out on the maintenance process, reducing the amount of monitoring data to be analyzed and improving monitoring efficiency; The network model provides training data.

The invention discloses an abnormal session analyzing method for website logs. The method comprises the following steps: forming an independent purpose access unit (for example a page, a picture, script access and the like) by a user session; in the initial analyzing stage, analyzing a normal session flow by way of combining modes for automatically accessing a website in the logs; continuously adding normal session streams in the subsequent processing process, and boiling down all sessions expect normal ones to abnormal sessions; and meanwhile, respectively displaying and processing the abnormal sessions in different levels. The method from the starting point of abnormality analysis can greatly improve the analyzing efficiency of the abnormality of the website logs without leaking any abnormal access sessions, so that the method is most valuable for safety / forensic application to analyzing hacking.

The invention discloses an alpha shaft automatic electrocardiogram diagnosis robot. The robot comprises the following steps that a physician collecting end obtains patient electrocardiogram data and distributes the data to an idle electrocardiogram diagnosis server, the electrocardiogram diagnosis server is the alpha shaft automatic electrocardiogram diagnosis robot which is a server for diagnosing electrocardiogram data; the electrocardiogram diagnosis server analyzes the data for classification. According to the alpha shaft automatic electrocardiogram diagnosis robot, firstly, workloads of aphysician can be better reduced, human resources can be more sufficiently utilized, secondly, the P2P network structure can better coordinate workloads of each server, accumulation of data to be analyzed can be effectively lowered, and therefore the analysis efficiency is improved; finally, all data auditing is completed on the same platform, so that the physician can check abnormal electrocardiograms cross-regionally; accordingly, the pressure of some region analysis auditing physicians is shared, and the better using prospect is brought.

The embodiment of the present disclosure discloses an obstacle detection method and device, electronic equipment, vehicle-end equipment, an automatic driving vehicle, and a storage medium, and relates to the field of automatic driving. The specific implementation scheme is: collect the obstacle observation information sent by at least one sensor, and respond to the pre-stored obstacle tracking information including the same identification as the obstacle identification, the obstacle tracking information and the obstacle observation information with the same identification Carry out similarity calculation to obtain the first similarity. In response to the first similarity being greater than the preset first threshold, the corresponding obstacle tracking information is covered with the obstacle observation information corresponding to the same identifier that is greater than the first threshold. According to The current obstacle tracking information determines the relevant information of obstacles, and the cost of analysis and calculation can be saved by covering; and because the amount of analyzed information is reduced, noise information can also be reduced and the correlation of obstacles obtained can be improved. reliability of information.

The invention discloses a working mode analysis method of a complex power electronic converter. The working mode analysis method comprises the following steps that 1) elements contained in the converter are drawn into a tree diagram; 2) the elements in the tree diagram are classified into different grades; 3) the on-off state combinations possibly existing in all the switching elements in each stage are listed; 4) the on-off state combinations in each stage are overlapped with non-switching elements respectively; 5) different grades of elements are overlapped, and a new mode is obtained aftereach superposition is carried out; 6) screening is carried out on the model states, and invalid modes are removed; and 7) the effective modes are combined according to the actual current flowing condition, and the types of the effective working modes of the converter are obtained. All the working modes of the electric power electronic converter can be obtained, and the recognition of the modes iscomprehensive and simple, so that the method can be used for analyzing a circuit mode of a multi-switch power electronic converter.

The invention relates to a transformer tap switch fault monitoring method, system and device and a computer readable storage medium. The method comprises the steps of obtaining a first detection spectrogram if the transformer tap switch remains unchanged within a preset duration after gear shifting adjustment is completed; the first detection spectrogram being a detection spectrogram of target gas in the transformer tap switch oil chamber; selecting the peak top of the spectrum peak of the first detection spectrogram and a preset number of data points on the two sides of the peak top of the spectrum peak of the first detection spectrogram to obtain a first data set; obtaining the smoothness of the peak top of the spectrum peak of the first detection spectrogram according to the first data set; obtaining the content of the target gas according to the smoothness of the peak top of the spectral peak of the first detection spectrogram and the conversion coefficient of the target gas; and under the condition that the content of the target gas exceeds a preset threshold value, judging that the transformer tap switch has a fault. The method can quickly and accurately judge whether the transformer tap switch has a fault or not, can find abnormity at the early stage of the fault, and timely intervenes to avoid accident expansion.

The present invention relates to a method and system for synchronizing internal and external network data. In the method, the following steps are included: the external network equipment analyzes and extracts the file information of the file, and stores it in a database table. If the file contains an attachment file, the attachment file is backed up. Go to the first path, enter the file name of the attachment file into the corresponding position of the file name field in the table, move the attachment file to the second path, otherwise, delete the file, export the newly added record in the table and save it and Send to the internal network device, and send the attached file under the second path to the internal network device; the internal network device saves the received record file and attached file to the database and the fourth path respectively; the external network and the internal network device respectively Display according to the information stored in the table corresponding to the file to be displayed in the corresponding database. The invention reduces the transmission amount of files, improves the transmission efficiency, reduces the analysis amount of files in the internal network equipment, and improves the data synchronization efficiency between internal and external network equipment.

The invention relates to upgrade to human operators. Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, relate to synthetic call initiation and barrage. In some implementations, a method includes analyzing, by a call initiation system, a real-time conversation between a first person on a first end of a telephone call and a robotic program on a second end of the telephone call during the telephone call between the first person and the robotic program. The call initiation system can determine whether the telephone call should be transferred from the robotic program to a second person on a second end of the telephone call based on an analysis of the real-time conversation. In response to determining that the telephone call should be transferred to a second person on the second end of the telephone call, the call initiation system transfers the telephone call from the robotic program to the second person.

The invention discloses a data analysis method which comprises the following steps of: matching a web address to be visited by a user with a built-in hierarchically-stored recommended web address by a network device; when a consistent recommended web address is matched, determining that the hierarchy of the web address to be visited by the user is the hierarchy related to the matched recommended web address, wherein the hierarchy of the recommended web address corresponds to the hierarchy of recommended information showed on a terminal; analyzing a terminal tag which is used for sending a service visit requirement; and if the hierarchy of the web address to be visited by the user is greater than or equal to a first threshold valve, sending the analyzed terminal tag, the web address to be visited by the user and the hierarchy of the web address to be visited by the user to a server, counting by the server the number of the terminal tags corresponding to each web address to be visited by the user in the hierarchy which is greater than or equal to the first threshold valve. The data analysis method provided by the embodiment of the invention is beneficial for reducing data analysis quantity and improving accuracy of analysis data.

The invention discloses a business operation state analysis method, device, computing equipment and computer storage medium, wherein the business operation state analysis method is executed based on a trained business operation analysis model, and the method includes: according to a plurality of pre-set data Dimension extraction, which extracts the business operation data generated during the business operation process corresponding to multiple data extraction dimensions; preprocesses the business operation data according to the logical mapping rules, and obtains the feature vector of the business operation status; uses the business operation analysis model to analyze the business operation The state feature vector is analyzed to obtain the analysis result of the business operation state. According to the technical solution provided by the present invention, the business operation data is preprocessed into a service operation state feature vector, which effectively reduces the amount of data analysis, and uses the trained business operation analysis model to quickly analyze and obtain the corresponding business operation state analysis results , effectively improving the efficiency of business operation status analysis.