9 results about "Data platform" patented technology

The invention provides a data processing method and device based on sentiment analysis, and relates to the technical field of computers. The method comprises the following steps: obtaining an originaltext database, wherein the original text database comprises text data; obtaining a sentiment analysis dictionary; obtaining a first sentiment weight according to the sentiment analysis dictionary; obtaining an online sequence-extreme learning machine model; dynamically adjusting a prediction model according to the online sequence-extreme learning machine model, and obtaining a second sentiment weight; and determining a third sentiment weight according to the first sentiment weight and the second sentiment weight. The data processing method based on the sentiment analysis provided by the invention solves the technical problem that quick and accurate sentiment analysis cannot be carried out on a real-time network data stream in the prior art, and achieves the technical effect of realizing quasi-real time sentiment analysis and processing on massive texts on the basis of a big data platform.

An embodiment of the invention provides a wearable monitoring device and a monitoring system of cow ingestion behaviors and ingestion amount. Each wearable monitoring device sleeves the head of a cow,and acceleration information of the cow ingestion behaviors is collected through a sensor, contacting with the cheek or the nose of the cow; the sensor of the device is sequentially connected with arelay, a data storing module and a data processing module electrically, the acceleration information collected by the sensor is transmitted to the data storing module through the relay for data processing and storing, and the data processing module monitors and analyzes the ingestion behaviors and the ingestion amount of the cows by calling the acceleration information in the data storing module.By the wearable monitoring device and the monitoring system, automatic monitoring of the ingestion behaviors and the individual ingestion amount of each cow in the process of cow breeding is realized,building of an Internet of Things data platform based on the cow ingestion behaviors and the ingestion amount is facilitated, remote transmission, analysis and management of data are realized, and digitalization and intelligentization levels of precise feeding of the cows are elevated.

The invention relates to a cross-domain on-site debugging system and method based on the Internet of Things, and the system comprises an energy efficiency monitoring terminal which is provided with afirst wireless transceiver; a portable man-machine interaction equipment which is used for configuring system parameters, sending a measurement calling command and visually displaying and outputting ameasurement calling result, wherein the portable man-machine interaction equipment is provided with a second wireless transceiver, and the energy efficiency monitoring terminal and the portable man-machine interaction equipment are in data communication through the first wireless transceiver and the second wireless transceiver; the communication manager performs data interaction with the portableman-machine interaction equipment through a USB interface, and the communication manager is provided with an LORA module; and a remote data platform. According to the invention, on-site personnel canmaster the wiring condition in real time, cross-domain debugging is carried out based on the Internet of Things, data intercommunication among the remote data platform, the portable man-machine interaction equipment and the energy efficiency monitoring terminal is realized, and the efficiency of the whole installation and new process of the platform is improved.

The invention relates to an urban tourism visitor smart distribution system and a distribution method. The system is characterized by comprising a data platform (2), scenic area servers (3), a municipal traffic department (4) and user terminals (1). According to the distribution method for the urban tourism visitor smart distribution system, when visitors send target scenic area ticket purchasingrequests, the data center (2) carries out the analysis steps of S1, S2, S3 and S4. The system and method have the beneficial effects that visitor density among scenic areas can be dynamically monitored, the visitors among the scenic areas can be effectively distributed and evacuated, and when visitor flow in the scenic areas is high, traffic relief requests can be sent to municipal traffic.

The invention provides a data analysis visualization method, system and device based on big data artificial intelligence, and the method comprises the steps: building an Internet human resource big data talent demand index standard, and constructing a metadatabase according to the standard; collecting data from recruitment advertisements disclosed on the network according to the talent demand index standard established in the step S1, and storing the data by using a big data platform; cleaning and desensitizing the captured webpage data to form structured data with a standard format; constructing a machine learning algorithm to analyze and mine the data; and carrying out interactive real-time data visualization webpage display on the analysis result. The problems that an existing research institution mainly adopts a sampling survey mode for research on human resource requirements and posts of specific administrative divisions, and a data visualization display mode for human resource big data division and interactive real-time access based on the Internet is lacked are solved.

The invention relates to the field of computers, and discloses a data platform migration method and system, and the method comprises the steps: copying the actual operation data of an old data platform; determining all old functions in the old script as a practical old function set according to the old function table; finding new functions with the name similarity with the old functions larger than a preset threshold in the new function table as candidate substitute new functions with the old functions; replacing the old functions with candidate replaced new functions as corresponding new scripts for training; respectively executing each old script and the corresponding new script for training based on the training data, comparing execution results of the old scripts and the corresponding new scripts for training, and establishing a mapping relationship; and converting an old function in the old script into a corresponding new function to serve as a formal new script of the new data platform. Efficiency of data platform migration from the old data platform to a new data platform can be remarkably improved, and the manpower consumption of developers is reduced.