Please select the most similar patent number from A, B, C and D. Which number is?
The present application relates to the technical field of data collection, and provides a method, apparatus and device for centralized collection of configuration data. The method comprises: obtaining identification information sent by a sensor to determine a communication type of the sensor; pushing the communication type to a user, so that the user connects the sensor to a corresponding interface according to the communication type; obtaining sensor data of the sensor by means of the corresponding interface; parsing the sensor data to obtain a parsing result; uploading the parsing result to an external device, so that the external device modifies, updates, and stores a configuration file in the parsing result according to sensor parameters and data collected by the sensor in the parsing result; and obtaining the modified configuration file, and updating and storing same to the sensor. The method, apparatus and device can solve the problems in the prior art of a difficulty in the implementation of centralized monitoring, extremely low efficiency, and a big error of data collected by sensors.
A: A vehicle controller, comprising: a main control module and an interface control module that are communicationally connected, wherein the interface control module is used for obtaining data collected by vehicle sensors, performing preprocessing on the data collected by the vehicle sensors, and sending the preprocessed data to the main control module; and the main control module is used for parsing the data sent by the interface control module to generate a corresponding control command, and sending the control command to a vehicle execution mechanism by means of the interface control module, so that the vehicle execution mechanism performs state adjustment according to the control command of the main control module. The automation and intelligence of rail transit are improved; a control mode is safe and reliable, and the safety and reliability of the rail transit are ensured. In addition, a device connection mode is simple; a processing resource is saved; a data transmission path is shortened; processing time of the vehicle controller is reduced; and a response speed is increased. Further disclosed are a vehicle control method and a vehicle.
B: Disclosed in the present invention are n interface interactive assembly control method and apparatus. The method comprises: structuring and displaying an interface interactive assembly according to at least one piece of attribute information; collecting sensing data of at least one sensor of this machine and uploading the sensing data to a server, so as to obtain an attribute modification instruction that is made by the server according to the sensing data and that is used for changing the interactive state of the interface interactive assembly; and changing the attribute information of the interface interactive assembly according to the attribute modification instruction, so as to change the interactive state of the interface interactive assembly. In addition, the present invention also provides a wearable device for executing the interface interactive assembly control method. In the present invention, by fully using sensing data collected by a sensor carried by a wearable device, a server parses the sensing data and generates and changes the interactive state of the interface interactive assembly, and a user of the wearable device is stimulated by means of the interactive state of the interface interactive assembly.
C: An automatic calibration system and method for a sensor. A sensor is used for collecting sensor data and uploading same to a gateway; the gateway transmits the sensor data uploaded by the sensor to a cloud platform; a standard metering module is used for obtaining real value data of the sensor data corresponding to each sensor and transmitting same to the cloud platform; the cloud platform is used for transmitting the obtained sensor data and the real value data to a big data platform; the big data platform is used for storing the obtained sensor data, the real value data, and other condition data that is automatically counted and affects the accuracy of the sensor and transmitting same to a calibration module; the calibration module is used for analyzing the obtained data to obtain a calibration model corresponding to a target calibrated sensor or obtain a calibration model by means of machine learning; the calibration model is used for calibrating data during sensor calibration and outputting a calibration result.
D: A method and device for processing sensor data. The method comprises: creating corresponding file folders for different types of sensors, where one type of sensor monitors one corresponding monitored indicator (S101); receiving second data transmitted by the sensors, the second data comprising monitoring data and sensor identifiers; the second data being data satisfying a preset condition in first data collected by the sensors; the preset condition being the collection time of the first data falling within a preset time range or the value of the first data exceeding a preset range (S102); on the basis of the sensor identifiers, filing the monitoring data into the file folders corresponding to the sensors (S103); based on the monitoring data in the file folders, analyzing the monitoring data on the basis of a monitored area, and acquiring an abnormal trend of the monitored indicators (S104). The method files the received second data into the file folders corresponding to the identifiers, allows the corresponding use of the sorted sensor data in the file folders directly on the basis of the identifiers of the sensors, analyzes the data on the basis of the monitored area, acquires the abnormal trend of the monitored indicators, and provides high processing efficiency.
Answer: C