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 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 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.

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 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 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 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 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.