6 results about "Online analysis" patented technology

The invention discloses a water pollution online analysis and quick source tracing method used for strengthening supervision of wastewater discharged by enterprises in the industries of printing and dyeing, coking, electroplating, electronic manufacturing, papermaking, pharmacy, metal manufacturing and the like. According to the method, a multi-channel laser Raman online analysis and multi-channelelectrochemical online analysis combined technology is adopted to perform online analysis and monitoring on multiple types of pollutants possibly occurring in a monitored water area, and the online analyzed and monitored water pollution data is analyzed automatically by utilizing a pre-constructed pollution source database, source tracing software and a data analysis platform so as to realize online water pollution source tracing. By adopting measures such as multiple test channels, a wide-electrochemical potential window three-dimensional bismuth film alloy electrode, a modulation asymmetricsquare wave test method, a surface enhanced Raman accessory and the like, the test rate, the detection capability and the monitoring resolution capability of online analyzing and testing various types of pollutants are ensured.

The invention provides a presto-based data multi-dimensional analysis method. The method comprises the steps that S1, modeling is performed on all business data in a data warehouse, and a logic modelobtained after modeling is mapped into a data table of the data warehouse; S2, query operation by a user is converted into an SQL according to the logic model; and S3, the SQL is submitted to a prestoquery engine, and an analysis result is acquired. Through the method, by storing data analyzed through OLAP into the data warehouse in a structured form, the storage extensibility, the reading rate and the analysis rate of the data are improved, real-time online analysis also can be performed on data in a TB data volume, and user experience is improved.

The invention discloses an online analysis device and method for crude oil mining measurement and moisture contents. The online analysis device for crude oil mining measurement and moisture contents comprises an oil feeding pipeline, an oil storage vat, a measurement vat, a sampling vat, an analysis meter and an electronic control instrument box, wherein the oil storage vat is connected with the oil feeding pipeline; the measurement vat is connected with the oil storage vat through a measurement valve; the measurement vat is internally provided with a liquid level meter; the measurement vat isconnected with an oil storage pipeline; the sampling vat is connected with the measurement vat; the oil discharging pipeline of the sampling vat is connected with the oil inlet of the analysis meter;the oil outlet of the analysis meter is connected with the oil storage pipeline; the electronic control instrument box comprises an electronic control device; and the liquid level meter, the measurement valve, an oil discharging valve, the controller of the analysis meter and the rotation mechanism of the sampling vat are independently connected with the electronic control device. Through the technical scheme of the invention, the problem of oil field single-well measurement defects is solved, the device is convenient and quick in operation, has a simple and practical structure, effectively lowers cost, realizes an unattended operation and remote conveying, and improves practicality and generalization performance.

The invention relates to a non-staff intrusion detection and alarm method and device applied to a railway platform. The method comprises the following steps: collecting a real-time video of a station end region of a station; detecting and tracking a target in the video by using an intrusion detection model, and judging whether to trigger an alarm based on a detection and tracking result; wherein the intrusion detection model uses a non-staff feature detection model based on YOLO v4 to detect a target in a video, and uses a DCF algorithm to track the detected target. According to the method and the device provided by the invention, by using the intrusion detection model, the staff and the non-staff can be distinguished, the real-time online analysis of dozens of paths of high-definition videos operated by one image processor can be realized, the false alarm caused by regular inspection of the staff is solved to a certain extent. Meanwhile, the pressure of passenger station safety management during passenger flow increase is effectively relieved, the system reliability is high, and the cost is low.

The embodiment of the invention provides a data analysis method and device, electronic equipment and a storage medium, a target network disk is mounted through a client, the target network disk comprises a plurality of file directories, and to-be-analyzed data is uploaded to a specified file target. Therefore, the server can analyze the to-be-analyzed data by using the intelligent analysis algorithm corresponding to the specified file directory, online analysis of the data is realized, different file directories correspond to different intelligent analysis algorithms, a user only needs to upload the to-be-analyzed data to the specified file target, data analysis can be realized, and the user experience is improved. A user does not need to set an uploading path or manually select an intelligent analysis algorithm, the operation is tedious, the user can use the method conveniently, and the convenience of data analysis can be improved; in addition, the to-be-analyzed data is reserved in the target network disk, even if the user replaces the local client device, the to-be-analyzed data and the analysis result can still be obtained from the network disk, and the convenience of data analysis is further improved.

The invention discloses a student emotion online analysis system based on an artificial intelligence technology. The system comprises an image acquisition module, a model construction module, a training module, a test module and an analysis module. The image acquisition module is used for acquiring student image information, preprocessing the student image information to obtain a student emotion information data set, and dividing the data set into a training set and a test set; the model construction module is used for constructing a student emotion detection model based on the LSTM network; the training module is used for inputting the student emotion information data in the training set into the student emotion detection model for training; the test module is used for testing the trained student emotion detection model based on the test set; and the analysis module is used for preprocessing the image information of the to-be-tested student to obtain emotion information of the to-be-tested student, and inputting the emotion information of the to-be-tested student into the student emotion detection model passing the test to obtain a student emotion recognition result. According to the invention, timeliness and accuracy of student emotion determination are effectively improved.