9 results about "Data monitoring" patented technology

The invention provides a physiological data monitoring system, which comprises a client device, a communication module and a data processing platform, wherein the client device comprises an acquisition module which is worn by a user to acquire physiological data of the user; the communication module is used for sending the acquired physiological data to the data processing platform through a wireless communication network; the data processing platform comprises a maintenance module, an analysis processing module, an alarm module and a notification module; the maintenance module is used for recording information of at least one remote terminal specified by the user; the analysis processing module is used for performing analysis processing on the acquired physiological data of the user; the alarm module is used for generating alarm data when the preset condition is met; and the notification module is used for sending the alarm data to the remote terminal specified by the user through the wireless communication network. The system can make the patient or related relatives thereof know the body condition of the patient conveniently, quickly and clearly on the basis of improving daily monitoring adaptability.

The invention discloses an industrial data monitoring system based on an embedded modularization platform. The industrial data monitoring system comprises a man-machine interaction module for displaying and inputting signals through keys, a power panel module for supplying electricity, and a relay switch module for outputting the signals. The man-machine interaction module comprises a hardware driving module, an operating system module and a page operation module which are sequentially connected. Through design of the embedded universal platform, when new hardware is added, what is needed is that the interface of the page operation module is modified aiming at products, the fact that uniform code foundation frames can be used in an industrial instrument platform is realized, top layer codes of an applied part need to be modified in research and development of different products, the same format is adopted in interfaces, the interfaces do not influence one another, regardless of the fact that one interface or multiple interfaces operate in the system, no influences are caused on stability of the system itself and the foundation frame except applied layers, and an inner core always needs no modification to avoid the problem that all parts need to be redesigned when new products are developed in the past.

The invention discloses an alarm setting method and system based on system data monitoring. The method comprises the steps of when it is monitored that an alarm prompt of a target to-be-monitored service index is triggered, obtaining the alarm information matched with the target to-be-monitored service index and contained in the alarm prompt; generating marking information corresponding to the alarm information by analyzing the alarm information; and setting a target alarm threshold value corresponding to the target to-be-monitored service index according to the labeling information, so that based on a system data monitoring technology in software monitoring based on base frame operation and maintenance, the alarm information of the target to-be-monitored service index can be determined through the alarm prompt, the alarm information is analyzed, and the annotation information can be generated according to the rationality of the alarm information, and accordingly the server can dynamically adjust the alarm threshold value according to the annotation information, and the maintenance personnel do not need to manually adjust the alarm threshold value. In conclusion, the mode of setting the alarm rule in the server can be more intelligent.

The invention discloses a data acquisition and analysis system based on a wireless body area network and a low-energy-consumption data fusion privacy protection algorithm. The system comprises: a dataacquisition node which is electrically connected with data monitoring equipment and is used for receiving data of the monitoring equipment; a data transmission node which is electrically connected with the data acquisition node and is used for carrying out noise filtering and first-level data fusion calculation; and a data analysis node which is in signal connection with the data transmission node and is used for carrying out final data fusion analysis calculation. A data fusion model of a tree structure is used, on the basis of a data fusion function structure expression, a data fusion function based on unequal time intervals is provided, and a random key distribution strategy is adopted for data encryption and decryption; the method has the characteristics of small data communication traffic, high privacy protection, high accuracy and low energy consumption.

The invention discloses a defense system and method for blocking file uploading through a feature code capable of automatically learning updating. The system comprises a plurality of cloud sides, eachcloud side comprises a data monitoring module, a data judgment module, a feature code extraction module, a data analysis module, a learning updating module, and a data deleting module, and a file uploading filtering rule file continuously updated by the learning updating module is saved on the cloud side. The technical scheme disclosed by the invention can effectively defend and learn malicious file uploading, thereby preventing a server system for being controlled by malicious personnel through the malicious file, and an efficient, fast and accurately security defense mechanism for the fileuploading is formed.

The present invention provides a method for centralized control system data monitoring, and relates to the technical field of computers. A monitoring layer network and a management layer network in anenterprise are connected, an IISweb server is arranged in the management layer network, a data receiving program is deployed on the IISweb server, a data collection program on an upper computer in the monitoring layer network collects required centralized control system data from man-machine interface software and sends the required centralized control system data to the IISweb server, the data receiving program processes the received data and stores the data to a sharing memory space of the IISweb server, the content of a data display web page is changed with the data content of the sharingmemory space, and finally, a client in the management layer network sends a request to the IISweb server through a web browser and browses the centralized control system data display web page. The method for centralized control system data monitoring can meet the monitoring demand of enterprise managers for production process data of a coal preparation plant and cannot need to install special man-machine interface software on each manager's computer or purchase special man-machine interface webpage publishing software so as to avoid many troubles.

The invention relates to an automatic retracting wind turbine blade and a control method thereof. The wind turbine blade comprises a fixed blade and a telescopic blade, a data monitoring platform receives wind speed data and wind direction data acquired by a wind speed measuring device and transmits the data to a processor, the processor calculates the telescopic length of the blade according to the wind speed data and the wind direction data, and a blade retraction control system controls the telescopic blade to stretch or retract. The control method comprises the following steps: acquiring atraining data set; constructing and training a machine learning model; acquiring wind speed data and wind direction data in real time, and calculating blade telescopic length based on the machine learning model; and controlling the telescopic blade to stretch or retract by the blade telescopic control system Compared with the prior art, the blade telescopic length is calculated according to the wind speed data and the wind direction data based on the machine learning model, control is more accurate, the optimal blade telescopic length under the current wind speed and the current wind direction can be obtained, the blades cannot be damaged, wind energy can be captured more effectively, and the power generation efficiency is improved.