36results about How to "Realize big data analysis" patented technology

A method for predicting the state quantity of a cable, a method and a device for determining the operating state of the cable, the method for predicting the state quantity of the cable includes: obtaining the time series of the state quantity of the cable to be predicted; S Carry out data division to obtain the divided sequence F ; Use the pre-built long-short-term memory LSTM model to divide the sequence F Make predictions and get sequence F predicted value of . Through the method for predicting the state quantity of the cable provided by the embodiment of the present invention, the method and device for determining the operating state of the cable, the deduction method for multiple operating states of the cable line based on the long short-term memory LSTM model, for multiple state quantities continuous time The joint deduction of multi-state quantities of a single node is carried out in sequence to realize the big data analysis of high-voltage cable state quantities, improve the accuracy of cable state prediction, provide technical support for high-voltage cable state deduction and evaluation, and ensure the operation reliability of high-voltage transmission cables.

The embodiment of the invention provides a data transmission method and device. The data transmission method comprises the steps that an SPI interrupt signal sent by an MCU system is received, and a first clock signal is provided for the MCU system based on the SPI interrupt signal; a frame header of a to-be-sent data packet in the MCU system is read based on the first clock signal, and whether the to-be-sent data packet is valid data is judged according to the frame header; and if the to-be-sent data packet is valid data, a second clock signal is provided for the MCU system, a message body inthe to-be-sent data packet is read based on the second clock signal, and a data confirmation signal is sent to the MCU system after reading is completed. Through the embodiment, the instantaneity andreliability in the data transmission process can be effectively ensured.

The invention relates to the field of data transmission, in particular to a wireless data transmission system and method. In the process of transmitting request data to a wireless terminal according to request information, a wireless forwarding device is connected to the wireless terminal to forward the request information and the request data; a network card is connected to the wireless forwarding device to transfer the The request information and the request data realize the request information and request data exchange with the wireless forwarding device; the main board is connected with the network card, and transfers the request information and the request data; the central processing unit is connected with the main board connection, processing the request information and the request data; a proxy server, connected to the network card, and returning the request data from the Internet to the network card according to the request information.

The invention discloses an intelligent state monitoring system and method for a transformer OLTC transmission shaft, which comprises a torque, rotation angle and shifting cycle information collection unit of a transformer OLTC transmission shaft, a database, and an information processing unit. The database also includes a rule database. Based on the rotation angle signal, torque signal and shift cycle directly related to the state of the transformer OLTC drive shaft to monitor and judge whether the transformer OLTC drive shaft is faulty or not, the real state of the OLTC drive shaft can be monitored more accurately. , with higher reliability. And by establishing an association rule library, it is possible to predict the state change trend of the OLTC transmission shaft, and to discover potential hidden dangers and faults of the transformer on-load switch in time, to give early warning, prevent problems before they happen, and improve the safety of the on-load tap changer transformer and the power system Stable operation reliability.

The invention relates to a network construction management and control method and platform based on big data analysis. The method comprises the following steps that: receiving data information input by a user, and storing the data information in a database of a corresponding data interface according to the category attribute of the data information; receiving a data analysis instruction sent from a data analysis processor, wherein the data analysis instruction comprises data interface identification; according to the interface identification, determining the data information in a called interface; and according to a preset algorithm, generating statistical data, and storing the statistical data in the corresponding data analysis processor which sends the data analysis instruction. The method also comprises the following steps that: receiving a functional assessment instruction, wherein the functional assessment instruction comprises the identification of the data analysis processor; and according to the identification of the data analysis processor, determining the called statistical data in the data analysis processor, and generating a functional assessment result. By use of the method, the mutual calling of various classes of data information is realized, data resources are fully utilized, big data analysis is realized on the basis of the comprehensive utilization of a plurality of database resources, the big data analysis is realized, and the accuracy of the functional assessment result is guaranteed.

The invention discloses a billing control device, a household billing system and a billing control method thereof. The device includes: each meter unit obtains the first power consumption of its own electric equipment in the form of a real meter, And / or obtain the second electricity consumption of the electrical equipment to which it belongs in the form of a virtual electricity meter; and broadcast the first electricity consumption and / or the second electricity consumption to the communication unit; the communication unit receives The first power consumption of the first part of the power consumption equipment configured with the first ammeter module and / or the second power consumption of the second part of the power consumption equipment not configured with the first power meter module; the control unit, according to the first power consumption and / or the second power consumption, and at least perform billing control on more than one power-consuming equipment. The scheme of the present invention can solve the problem that the project installation is relatively difficult when using real electric meters for billing by household, and achieve the effect that the difficulty of engineering installation can be reduced by combining real electric meters and virtual electric meters for billing by households.

The invention discloses a cloud big data analysis system applied to urban traffic. The cloud big data analysis system comprises vehicle-mounted multi-mode signal transceiving equipment, a traffic data concentrator and a cloud big data analysis server, wherein the vehicle-mounted multi-mode signal transceiving equipment is used for accessing a mobile cellular network, and realizing data connection with the internet by means of the access of the mobile cellular network, so as to obtain traffic data; the traffic data concentrator is connected to the vehicle-mounted multi-mode signal transceiving equipment, and performs centralized management on the obtained traffic data; and the cloud big data analysis server is connected to the traffic data concentrator, processes the traffic data, and comprises a fork road congestion evaluation module, a road network congestion evaluation module, a user evaluation module and a comprehensive evaluation module. The cloud big data analysis system applied to urban traffic has the advantage of realizing the urban traffic big data analysis in the cloud.