2768 results about "Data monitoring" patented technology

Method and apparatus for providing a leak detection circuit for data monitoring and management system using the guard trace of a glucose sensor by applying a leak detection test signal to determine whether a leakage current is present is provided. The leak detection circuit may includes an interface circuit such as a capacitor coupled to the guard trace to detect the leakage current when the leak detection test signal is applied to the guard trace, such that the user or patient using the data monitoring and management system such as glucose monitoring systems may be promptly and accurately notified of a failed sensor, and to alert the user to replace the sensor.

The present invention provides a system and method for predicting and preventing unauthorized intrusion in a computer configuration. Preferably, the invention comprises a communication network to which at least two computing devices connect, wherein at least one of the computing devices is operable to receive data transmitted by the other computing device. The invention further comprises a database that is accessible over the network and operable to store information related to the network. A vulnerability assessment component is provided that is operable to execute a command over the communication network, and a data monitoring utility operates to monitor data transmitted over the communication network as the vulnerability assessment component executes commands. Also, an intrusion detection component is included that is operable to provide a simulated copy of the network, to generate a first data transmission on the simulated copy of the network that represents a second data transmission on the communication network, and to compare the first data transmission with a second data transmission. The vulnerability assessment component preferably interfaces with the intrusion detection component to define rules associated with the first and second data transmissions, to store the rules in the database, and to retrieve the rules from the database in order to predict and prevent unauthorized intrusion in the computer configuration.

A portable monitoring device and a method for monitoring and alerting physiological parameters of a patient are provided. The portable monitoring device comprises a housing, parameter sensing devices, a processing unit, and data communication units. The housing defines an inner surface for establishing physical contact with the patient's body part, and an outer surface opposing the inner surface. The parameter sensing devices acquire physiological data associated with the patient's physiological parameters. The processing unit processes the acquired physiological data and patient information. The data communication units, capable of synchronizing with responder devices, transmit the processed physiological data and the patient information to a base monitoring unit, a remote monitoring station, and/or responder devices via one or more transceivers and data communication interfaces for initiating relief measures. The portable monitoring device monitors the patient's physiological parameters and alerts the remote monitoring station for providing the relief measures to the patient.

A device, system and method for data monitoring, collection and analysis. A method may include creating one or more context insight records representing an indication of a behavior of a service based on raw footprint data related to use of said service by a population of users, and analyzing said one or more context insight records to detect a dynamically defined anomaly of said service.

This invention provides a device, and method and system for its use, for monitoring participants in clinical trials so that participant self-reporting, which is known to be notoriously inaccurate, can be minimized or eliminated. In preferred embodiments, the device is self-contained and self-powered, resides on or in a body cavity of the participant, collects data monitoring medically relevant aspects of the participant's behavior and of the local device environment, and stores data in a memory on-board the device. An accompanying external station reads stored data and prepares it for use. Devices may include electrically-active sensors and non-electrical active sampling sensors. A preferred embodiment of the device is in clinical trials of microbicides inhibiting transmission of the HIV virus.

A surgical data monitoring and display system is described. In some embodiments, the system includes a data storage module that stores retrospective data and real-time surgical data concerning a patient, a first processing module that receives and processes the retrospective data into processed retrospective data, and a second processing module that receives and processes the real-time data into processed real-time data. Each of the first processing module and the second processing module transmits their processed data to first and second display modules, respectively, before or during performance by a healthcare provider of a medical or surgical procedure on the patient.

The present invention provides methods and devices for monitoring physiological data such that a health care provider is able to effectively monitor a patient's health status, including, for example, blood flow characteristics, without having to maintain constant visual contact. In one embodiment of the present invention, a physiological data monitoring system measures at least one physiological characteristic wherein the physiological data monitoring system comprises a sensor unit and a monitoring unit in data communication with the sensor unit. The monitoring unit has a sonification module that comprises one programmable sound generator module to produce a plurality of signals indicative of a physiological parameter and a memory module for storing a plurality of control parameters for managing the programmable sound generator module, wherein the plurality of signals produced have a plurality of frequencies modified in accordance with at least one physiological data value. More specifically, the present invention provides a pulse oximetry sonification system that generates fixed frequency singular and/or combined amplitude-adjusted dual audio tones corresponding to predetermined transition and/or intermediate points over a range of SpO₂ measurements.

A system, method and computer program product are provided for adaptive network data monitoring. In use, network data may be monitored utilizing at least one threshold. Then, it is automatically detected whether there is a change in the network. If a change in the network is detected, the at least one threshold is automatically modified based on the change.

Method and apparatus for providing sensor guard for data monitoring and detection system having a sensor for detecting one or more glucose levels, the sensor including a work electrode disposed on a base material, a reference electrode disposed on the base material, and a guard electrode disposed on the base material, where the guard electrode is maintained substantially at equipotential to the work electrode, and a transmitter operatively coupled to the work electrode and the reference electrode of the sensor for receiving said detected glucose levels, where the transmitter is further configured to transmit a respective signal corresponding to each of the detected glucose levels using a data transmission protocol including wireless data transmission protocols, to a receiver which is configured to receive the transmitted signals corresponding to said detected glucose levels is provided. The method and apparatus may also include insulin administration unit such as an insulin pump configured to be in data communication with the transmitter and/or the receiver for administering an appropriate insulin dosage based on the measured glucose levels.

The invention relates to an intelligent heating network dispatching system. The system comprises a data monitoring and collecting unit, a load predicting unit, a heating network balancing unit and a dispatching unit. The data monitoring and collecting unit can carry out data collecting and monitoring on a heat source, a heat exchanging station, a heat user and a pipe network of a heat supplying system. According to data collected by the data monitoring and collecting unit and meteorological information, real-time user load predicting is carried out by the load predicting unit in a heating period, and an energy consumption predicted value is obtained. Comparing is carried out on actual running data of the heat supplying system and the energy consumption predicted value, and according to the compared result, correcting is carried out on the energy consumption predicted value. According to the real-time running data collected by the data monitoring and collecting unit, analyzing is carried out by the heating network balancing unit in the heating period, and a whole network dynamic balancing control scheme is confirmed. According to the energy consumption predicted value of the load predicting unit and the whole network dynamic balancing control scheme confirmed by the heating network balancing unit, intelligent heating network dispatching is achieved by the dispatching unit.

Methods and apparatuses for providing a data transmission unit antenna for wireless data transmission in a data monitoring and management system are provided.

The present invention relates to a monitoring and controlling system and method for megawatt level battery energy storage power plant, which includes a central monitoring and controlling module and local monitoring and controlling modules, between the two modules adopts real time and non real time communication parallel network structure to communicate with each other. The central monitoring and controlling module is configured to read the data of the battery energy storage power plant through the communication network, and store and manage the data, determine the total power demand of the battery energy storage power plant, determine all the power demand values of the energy storage substation, and send to all the local monitoring and controlling modules, calculate all the power demand values of the energy storage units, and send to the energy storage units, and then send all the power demand values of the energy storage units, real time and non real time data to the central monitoring and controlling module for unified storage and management. The monitoring system and method meets the requirements of cluster real-time rapid control and thousands of transmission data monitoring, and ensures the healthy operation of the battery to battery energy storage power station more security and stability.

A method and apparatus for determining the status of a computer system and software applications running on that system and displaying the status to a system administrator are provided. With the apparatus and method, metrics related to a particular application or subsystem are identified and then collected over a predetermined period of time using a data monitoring or collection facility to generate metric history data. Once collected, the metric history data is analyzed by computing a set of parameters representing statistical measures of the metric history data. A set of fuzzy rules are used to define the relationships between metrics and the ultimate application or subsystem status. This metric history analysis phase may be performed periodically such that the fuzzy sets are dynamically redefined at periodic intervals. The fuzzy rules are then evaluated using a fuzzy reasoning process and an overall status indication is generated. As system performance or status changes, the monitoring system can adapt by changing the shape of the “normal” fuzzy set based on the distribution of metric values. The rules may remain the same but the fuzzy set may change dynamically. This greatly reduces maintenance costs since the monitoring rule set can be slowly tuned over time, while the underlying “normal” fuzzy sets could be adjusted as often as needed. Thus, the method and apparatus provide a mechanism to express the knowledge about the key underlying relationships as fuzzy rules and then to automatically tailor the fuzzy sets that are referenced in the fuzzy rules using statistical data mining techniques.

A computer implemented method of adjusting a monitoring system having data collection nodes with instances of templates for collecting data according to data collection rules includes receiving a data propagation path specifying a hierarchy for at least a portion of the templates, the hierarchy specifying a child template, parent templates for the child template, and an order for the parent templates. The method also includes specifying an event data collection rule for the first child template and configuring parent data collection rules for the parent templates accordingly. The parent data collection rules include a data retrieval rule for retrieving event data associated with the event data collection rule or a data aggregation rule for combining the event data associated with the event data collection rule and multiple instances of the child template. The method also includes updating the instances in the data collection nodes.

The invention discloses a prediction model training method, a data monitoring method and device, equipment and a medium. The prediction model training method comprises the steps that time-stamping iscarried out on original service data, and the data are divided according to a preset deadline to acquire training service data carrying a time sequence state; the training service data are divided into a training set and a test set according to a preset ratio; a training set is used to train a long short term memory cycle neural network model to acquire an original prediction model; and the testset is used to test the original prediction model to acquire a target prediction model. The prediction model training method has the advantages of high time sequence and high accuracy in predicting.

The invention relates to a wireless acquisition device of culture water quality, which comprises a sensor group, a microprocessor and a wireless communication module. Based on the wireless acquisition device, the invention also discloses a system for wirelessly monitoring the culture water quality, which comprises a data storage module, a power supply module and a buoy. The device and the system adopt a solar energy supply; the system has an online state and a dormant state; software and hardware are designed by adopting a low power consumption power-saving mode, and can acquire and store a plurality of water quality parameters such as the pH value, the electrical conductivity (EC), the water level, the dissolved oxygen (DO) and the water temperature of a culture water environment; the acquired data can be sent to a data monitoring center by GPRS; and the DO value in water can be predicted, and water quality DO early warning information is sent to an intensification aquaculture manager through mobile phone short messages.

A T-BOX information security detection and protection method based on vehicle anomaly data monitoring comprises: classifying and summarizing vehicle faults, providing a universal vehicle fault tree model, collecting and comparing vehicle real-time data through T-BOX, monitoring vehicle anomaly data in real time, transmitting to a telematics service platform (TSP) constantly, determining change trends of operation parameters and states of each vehicle part and system through data fusion and through big data analysis based on vehicle driving historical information collected by a cloud terminal and vehicle main parts related information restored by a main engine plant, comparing vehicle real-time information transmitted by T-BOX, judging whether a vehicle has anomaly data or not at present, and determining whether the vehicle is under information security attack or not based on the established vehicle fault tree model; finally, notifications or warnings on fault problems due to vehicle functional security need to be made for users and vehicles by the TSP.

The invention discloses an industrial big data monitoring system based on edge computing. The system comprises a data source layer, an edge layer, a platform layer and an application layer. The data source layer collects heterogeneous data information through various Internet of Things technologies and transmits the data to the edge server through a short-distance communication technology. The edge layer specifically analyzes and processes the real-time data acquired by the data source layer on the edge side, extracts high-value data and transmits the high-value data to the platform layer. theplatform layer mainly utilizes a cloud computing platform to realize the functions of industrial data analysis, data storage and the like on the data transmitted by the edge layer. The application layer is used for providing related software services based on the platform layer and displaying the information to a user through user terminal equipment. According to the invention, the problems of large platform load, low data processing efficiency, high network time delay, low security and the like of a traditional data monitoring system based on a cloud computing platform in an industrial dataviolence environment are mainly solved.

A wake-and-go mechanism is provided for a data processing system. The wake-and-go mechanism recognizes a programming idiom, specialized instruction, operating system call, or application programming interface call that indicates that a thread is waiting for an event. The wake-and-go mechanism updates a wake-and-go array with a target address, expected data value, and comparison type associated with the event. The thread then goes to sleep until the event occurs. The wake-and-go array may be a content addressable memory (CAM). When a transaction appears on the symmetric multiprocessing (SMP) fabric that modifies the value at a target address in the CAM, logic associated with the CAM performs a comparison based on the data value being written, expected data value, and comparison type.

The invention discloses a satellite-borne electronic equipment comprehensive management and control system and aims to provides the satellite-borne electronic equipment comprehensive management and control system which is high in integration, stable and reliable and capable of reducing a device number and redundant remote measurement and remote control interfaces. According to the technical field, each module in a comprehensive management and control unite and a comprehensive service unit is connected to a 1553B bus through a board-level management controller in the module so as to carry out data monitoring and instruction data transmission; by means of a J599 type connector, the comprehensive service unit realizes external gigabit Ethernet data communication among units and management and control data isolation and interaction; the comprehensive management and control unite receives platform remote control, time and attitude information and sends remote measurement and data transmission data through a management and control duty module; and the comprehensive management and control unite is configured to X1 or X4 mode through a Rapid IO management module, and a Rapid IO network topological structure in the unit is configured to a single satellite or double mode through the Rapid IO management module.

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.

A method for performing urodynamic testing on mammals. A pressure sensor, adapted to transmit the pressure within the urethra to a data monitoring device, is placed a first position within a urethra of the mammal. The urethral pressure is measured while the mammal undergoes at least one stress maneuver. A first, maximal and intermediate urethral pressure is measured during the stress maneuver. The pressure sensor is then moved to a second position within the urethra and the steps of performing the stress maneuver, selecting a stress maneuver and selecting the first, maximal and intermediate urethral pressures are performed at this second position. After completion of these steps a timewise representation of urethral pressures at the first position and the second position during the pressure events is displayed on a display derived from the first, maximal and intermediate urethral pressures.

Event-driven processor architectures are particularly suited for use in multiple sensor node networks and simulators of such networks. A first variation of the processor is particularly suited for use in a sensor node in a wireless sensor network. Through use of the event-driven architecture and special message and timing coprocessors, this embodiment of the invention is optimized for low energy requirements and data monitoring operations in sensor networks. A second embodiment of the invention includes modifications necessary for use of the processor in a network simulation protocol.

According to one embodiment, a network architecture includes a plurality of application monitoring modules for monitoring network traffic data that store the data in meta-flow tuples with associated measures. The meta-flow tuples include a protocol dimension with a value corresponding to a leaf node in a protocol identifier array. The protocol identifier array represents a protocol tree structure based on a set of nodes with pointers to parent, sibling, and child nodes corresponding to the protocol tree. The pointers include protocol identifier values that correspond to memory offset values with respect to the array. For queried protocol dimensions, the protocol identifier array is used to traverse the protocol tree from the leaf node in the meta-flow to a matching node matching the queried protocol. If the queried protocol is found in the protocol lineage of the meta-flow, the measures for the meta-flow are used to satisfy the query.

A method for managing memory in a system for an application, comprising: assigning a first block (i.e., a big block) of the memory to the application when the application is initiated, the first block having a first size, the first block being assigned to the application until the application is terminated; dividing the first block into second blocks (i.e., intermediate blocks), each second block having a same second size, a second block of the second blocks for containing data for one or more components of a single data structure to be accessed by one thread of the application at a time; and, dividing the second block into third blocks (i.e., small blocks), each third block having a same third size, a third block of the third blocks for containing data for a single component of the single data structure.

In a wireless communication system in which A-DPCH (Associated-Dedicated Physical CHannel) and HS-DPCCH (High Speed-Dedicated Physical Control CHannel) exist, for the purpose of performing an appropriate outer loop transmission power control for HS-DPCCH even during an A-DPCH DTX (Discontinuous Transmission) period, transmission data monitoring section 12 monitors whether a bit sequence transmitted via A-DPCH is present or not, and dummy data generation section 14 generates a random sequence used for outer loop transmission power control of HS-DPCCH during a DTX period in which a bit sequence is absent, and coding section 16 performs CRC coding on the generated random sequence, and transmission radio section 22 then transmits the CRC-coded random sequence via A-DPCH.

The invention discloses a fiber grating sensing layer-divided sinking apparatus for observing unconsolidated strata sedimentation, a data monitoring processing system, a grating sensor and an implantation method. The fiber grating sensing layer-divided sinking apparatus comprises a grating sensor and a grating sensor array, wherein the grating sensor array is used for applying a light source to the grating sensor through a broadband light source of a fiber grating demodulator and a coupler; a light signal returned by the grating sensor is input to the fiber grating demodulator through the coupler; the fiber grating demodulator is used for converting the light signal into an electric signal and calculating a center wavelength value of each grating sensor; the monitoring processing system is connected with a wavelength data acquiring module, a data analysis module, a time display wavelength module, a real-time monitoring curve module, an information prompt module, a forecasting alarm system module and the like respectively; and another path of data analysis is connected with a memory and a data processing module respectively. The device is simple in structure, not influenced by a severe environment, resistant to corrosion and electromagnetic interference, safe and reliable, convenient to use and widely applied to strata sedimentation; and sensing and transmission are integrated.

A data monitoring system is provided which is coupled to a data bus and which responds to identified data to cause the display of data from one or more designated sensors. The system can also provide outputs to activate and deactive relays and to control other devices. The programming and operation of a master controller does not have to be altered for use of the present system. The system operates to monitor one or more designated sensors and data from such sensors and to utilize the received data for display and/or operational purposes. The invention is especially useful in a process control network in which a large number of sensors is distributed throughout a facility and in which it is desirable to be able to read sensor data from one or more remote locations within a facility. The invention is also useful for other circumstances wherein data on a bus is to be monitored at a remote position.

The invention discloses a data monitoring and code automatic generation and deployment system and method. Scattered index data of continuous integration subsystems can be automatically extracted and intensively displayed, so that the index data is effectively supervised and one-stop data monitoring is better realized. A framework code of a newly created module can be automatically generated, so that the framework establishment time of the newly created module is effectively shortened, the efficiency is improved, the consistency of framework codes of software products can be ensured, and the development and maintenance are easy. Furthermore, the automatic deployment method can be used for shortening the manual deployment time of a project and improving the development and test efficiency, and a Linux script template can assist a developer to process deployment of installation packages more easily as well as copy and execution of configuration files or dependent files.

The invention discloses a water environment pre-warning and comprehensive management platform, and belongs to the technical field of water environment monitoring. The platform mainly comprises an information management module, a water environment analysis and evaluation module, a water environment pre-warning and forecasting module, a water environment comprehensive management module, a GIS systemmodule and a data monitoring module. According to the platform, information of each partition basin and information of surrounding pollution sources of each monitoring point are established, so thatpertinence for the key monitoring and precaution for the key areas and key elements with potential safety hazards is strengthened; and analysis, assessment and trend analysis are carried out on waterquality of the monitoring points, and a water quality pre-warning and forecasting model is constructed, so that monitors are helped to timely recognize water environment pollution areas and pollutionlevels, and deciders are helped to carry out correct judgement, timely processing and effective measure implementation when accidents occur, thereby strengthening the comprehensive management for water environment of offshore areas.