65 results about "Collections data" patented technology

A monitoring process for a NUMA system collects data from multiple monitored threads executing in different nodes of the system. The monitoring process executes on different processors in different nodes. The monitoring process intelligently collects data from monitored threads according to the node it which it is executing to reduce the proportion of inter-node data accesses. Preferably, the monitoring process has the capability to specify a node to which it should be dispatched next to the dispatcher, and traverses the nodes while collecting data from threads associated with the node in which the monitor is currently executing. By intelligently associating the data collection with the node of the monitoring process, the frequency of inter-node data accesses for purposes of collecting data by the monitoring process is reduced, increasing execution efficiency.

An intelligent static traffic management system comprises a first parking information collection unit, a traffic information management platform, a first monitoring unit and an access unit, wherein the traffic information management platform comprises an integrated management platform; the integrated management platform comprises a parking area basic information management unit, a parking area record management unit, a parking space early warning unit, a parking information release and data collection unit and a parking data optimization analysis unit; the parking area basic information management unit is used for recording parking area basic information; the parking area record management unit is used for recording parking area record information; the parking space early warning unit is used for analyzing the real-time parking condition of the parking area and giving early warning information when the amount of parking is close to saturation; the parking information release and data collection unit is used for collecting the working state of a parking device and displaying parking service information in real time; and the parking data optimization analysis unit is used for analyzing the utilization condition of a parking space and releasing a parking index.

The invention discloses a geological disaster early warning system. The geological disaster early warning system comprises: a data collection module used for obtaining geological data acquired by a field monitoring instrument and transmitting the monitored data to a data processing module; the data processing module used for identifying the data in the abnormal state in the monitoring data and eliminating the data in the abnormal state; a data management module used for storing the processed monitoring data and basic data; a prediction analysis module used for calculating the processed monitoring data according to a preset BP neural network algorithm to obtain a geological disaster prediction value; and an alarm command module used for determining a corresponding disaster grade according to the disaster predicted value after the disaster predicted value exceeds a preset geological disaster safety threshold value, determining the corresponding evacuation information according to the disaster grade, and sending the disaster grade and the evacuation information to a mobile terminal for displaying. The problem is solved that the geological disaster early warning is not inadequately accurate in the prior art.

An object of the invention is an automated analysis system for analyzing at least one of scientific, technological and business information. The automated analysis system comprises means 100 for processing a data amount to accomplish a collection data form, means for structuring the collection data form describing the content of a source document, means for automatically identifying input documents in data warehouses comprising similar structured data forms as said structured collection data form, means for preprocessing and tokenizing said input documents, and the automated analysis system comprises a classification engine using the tokenized and preprocessed documents as input classifying each item of the input documents, and said means for processing, means for structuring, means for automatically identifying, means for preprocessing and tokenizing and said classification engine being configured to perform their tasks in one or more modelling round(s).

Data collection agents are assigned to storage area network nodes in a storage area network resource management system, such that the bandwidth and cost of data collection are equitably distributed among data collection agents. Data collection overlaps and load imbalances are eliminated across the data collection agents, creating approximately equal partitions of bandwidth and data collection for each data collection agent. Graph partitioning is used to accomplish load balancing. The assignment of data collection agents to storage area network nodes equitably distributes the bandwidth and processing costs among the data collection agents and ensures a load balance.

The invention discloses a network user behavior prediction system, and the system comprises a data collection and storage module, a data preprocessing module, a user network behavior analysis module and a data presentation module, wherein the data collection and storage module, the data preprocessing module, the user network behavior analysis module and the data presentation module are connected sequentially. The data collection and storage module is used for collecting and storing the useful mobile Internet data of a user through collection equipment. The data preprocessing module is used for carrying out the data clearing and cleaning of the useful data, filtering the data comprising noise and abnormality, forming an effective data set of user's behavior analysis, and enabling the effective data set to be transmitted to the user network behavior analysis module. The user network behavior analysis module is used for carrying out the arrangement and analysis of the effective data set, carrying out the analysis of the behaviors of the user, and outputting a user's behavior analysis result. The data presentation module is used for presenting the user's behavior analysis result to the user. The system supports the analysis and mining of a large amount of mobile Internet data of the user, and is good in prediction effect.

The invention provides an operation monitoring system of a hot-line working robot. Monitoring objects include a first mechanical arm, a second mechanical arm, an auxiliary mechanical arm, a storage battery and an operation scene. Monitoring equipment of the monitoring system includes a temperature and humidity sensor, a pressure sensor, a current collector, a voltage collector, a data collection card, a panoramic camera, a binocular camera and a depth camera, data which are collected by the temperature and humidity sensor, the pressure sensor, the current collector and the voltage collector are compared with corresponding safe range values, if the current collected data are within corresponding safe ranges, the hot-line working robot is normally operated, and if the current collected data are not within the corresponding safe ranges, corresponding warning messages are sent. According to the operation monitoring system, operation personnel can remotely monitor the robot to work on line through the monitoring system, so that the safety of the operation personnel is guaranteed.

The invention provides a time series based topic development clustering analysis system and method. The method comprises: collecting topics to form a cumulative reading quantity time series; performing differential processing on the time series to obtain a topic hot degree time series; determining whether the topic is in a recession period, continuing to collect topics if not; calculating S-Euc and S-DTW between the topics if so, and clustering all topics. The system comprises: a data collection unit; a data processing unit that performs forward differential processing on the cumulative reading quantity time series to determine whether the topic is in the recession period, stores the topics that are not in the recession period in a first topic storage library, and stores the topics that are in the recession period in a second topic repository; a time series distance calculation unit that calculates the S-Euc and the S-DTW between the topics; and a topic clustering unit that clusters all the topics. The above system and method have high precision and a good clustering effect.

In a data mining system, data is gathered into a data store using, e.g., a Web crawler. The data is classified into entities. Data miners use rules to process the entities and append respective keys to the entities representing characteristics of the entities as derived from rules embodied in the miners. With these keys, characteristics of entities as defined by disparate expert authors of the data miners are identified for use in responding to complex data requests from customers.

The invention discloses a data collection and analysis device for a cigarette packing machine. The data collection and analysis device is mainly composed of a data processing and analysis assembly and an equipment interface driving assembly, wherein the data processing and analysis assembly is connected with the equipment interface driving assembly; the data processing and analysis assembly and the equipment interface driving assembly are respectively connected with a master control scheduling assembly; the data processing and analysis assembly is connected with a server; the equipment interface driving assembly is connected with the cigarette packing machine. Compared with the prior art, the data collection and analysis device can be used for different models of cigarette packing machine equipment, data collection of the cigarette packing machine equipment can be realized through simple configuration, independent redevelopment for each model or each cigarette packing machine equipment is not needed, collected data has high real-time performance and accuracy, and the practical situation of a production field can be really reflected.

The invention relates to an intelligent wharf used for docking of an unmanned ship. The intelligent wharf comprises a ship house module, a control center, a server and an upper computer. The ship house module is used for docking of the unmanned ship, fault inspection of the unmanned ship and autonomous wireless charging of the unmanned ship. The control center is used for recognizing and guiding and controlling the unmanned ship to enter the ship house module, collecting the working data of the unmanned ship, uploading the working data of the unmanned ship to the server and receiving the instruction transmitted by the upper computer through the server and forwarding the instruction to the unmanned ship. The upper computer is used for setting the ship route and the water quality detection task of the unmanned ship and forwarding the set ship route and the water quality detection task to be control center through the instruction by the server and accessing the server. Compared with the wharfs in the prior art, autonomous charging of the unmanned ship can be performed so that the endurance capacity of the unmanned ship can be greatly enhanced; meanwhile, working data collection can also be performed so that personnel operation can be reduced and the manpower resources can be saved, the efficiency can be enhanced and the operability of the unmanned ship can be greatly enhanced.

The invention relates to a prediction-based service function chain fault detection method, and belongs to the technical field of communication. The method comprises the following steps: firstly, according to performance correlation between virtual network functions of a service function chain in a virtual network environment, collecting data in a manner of monitoring performance data of each virtual network function on the whole service function chain, and dividing the working state of the service function chain; secondly, considering high-dimensional complexity and time-related characteristics of network monitoring data, combining with initiative requirements of fault detection, adopting a gating circulation unit network to detect faults, and predicting health conditions of the network byanalyzing historical performance data information of a service function chain; and finally, introducing transfer learning to accelerate the convergence rate of the model by utilizing the similarity of virtual network function nodes among different service function chains. According to the invention, the fault can be effectively detected while the fault detection time requirement is met.

The invention relates to a residential power load identification method based on template matched filtering, and belongs to the intelligent power utilization and efficacy monitoring fields. The method is characterized in that a characteristic current template of each electric appliance is calculated; the frequency spectrum of the total current when multiple electric appliances work together is calculated; a threshold is selected to assign 0 and 1 to the frequency spectrum component of the characteristic current template to determine a template filter; the template filter is used to filter the frequency spectrum of the total current; and whether the electric appliance is in the working state is determined according to the reservation degree between the filtered frequency spectrum and the frequency spectrum component of the characteristic current template. Under the condition of non-invasion power utilization data collection, the using state of residential power load is effectively determined, problems in power load identification can be solved, the load type which is being operated can be distinguished from mixed data when multiple loads operate simultaneously, the operation conditions of the single loads are separated, and the method serves as an effective realization method of non-invasion load monitoring technology.

The invention provides a system of intelligent-type reworking. The system includes an industrial control computer and an RFID reader-writer arranged on each station position of a reworking center. Theindustrial control computer communicates with the RFID reader-writer. An RFID tag and a two-dimensional code recording workpiece information are arranged on each workpiece. A system management modulewhich is responsible for managing users and assigning user authority, a reworking management module which is responsible for managing reworking rules of the different-type workpieces, a reworking intelligent-control module which is responsible for intelligently carrying out reworking prompting according to the reworking rules, a data collection module which is responsible for collecting data in the RFID tags on the workpieces and a data analysis module which is responsible for analyzing the collected reworking data are arranged on the industrial control computer. The data collection module isconnected with the RFID reader-writer. The invention also provides a control method of intelligent-type reworking. The system and the method can help an operation worker in clarifying work contents,and reduce a misoperation rate; and have the advantages that costs are low, intelligence is more, data values are fully utilized, and reworking misoperation is prevented.

The invention discloses a high-formwork lora transmission safety monitoring device and method based on BIM information flow. The device comprises an FPGA controller, a Lora communication module, a Lora interception module, a microcontroller, an audible and visual alarm, an LCD information display, an integrated collection terminal and Lora sensor collection modules. Each Lora sensor collection module performs one-to-one corresponding data communication through an independent Lora communication module on the integrated collection terminal, and data transmitted by the FPGA controller of the integrated collection terminal is analyzed and displayed through the audible and visual alarm or the LCD information display. The method comprises the steps of (1) BIM information flow conversion, (2) conversion into a high-formwork three-dimensional model, and (3) backward transmission. Distributed data collection information flow of the high formwork can be converted into the BIM visual model, visual monitoring management for high formwork structure monitoring is achieved, and visual management of loads, displacement and deformation structures at different positions is achieved.

A network system uses a hybrid passive and active method for aggregating sensor data. The network system processes the sensor data to generate or update map information, which is used to coordinate geographic based services between users of the network system. In an embodiment, to leverage the idle time of users not actively providing services, the network system provides tasks for the users to collect sensor data for roads or points of interest (POIs) within a geographic region for which the network system is missing map information. The network system may determine that a user is more likely to complete a certain task if the target location for sensor data collection is nearby the user's current location. Thus, the network system is able to micro-target users with specific tasks, resulting in a greater likelihood of efficiently matching tasks to users.

The invention is suitable for the technical field of vehicles, and provides a vehicle information transmission method and device, electronic equipment and a storage medium. The method comprises the steps: obtaining a data obtaining request sent by an upper computer in a first communication format; analyzing the data collection request, and determining a to-be-communicated target ECU and to-be-collected target ECU data; according to the target ECU data, generating a data request message in a second communication format corresponding to the target ECU, and sending the data request message to the target ECU; receiving a response message sent by the target ECU based on the data request message; and analyzing the response message to obtain target ECU data, converting the target ECU data into reply information in the first communication format, and sending the reply information to the upper computer. According to the scheme, the requirement for professional knowledge of developers during vehicle data collection based on the vehicle-mounted Ethernet is lowered, and the development difficulty of upper computer software is lowered.

The invention discloses a data aggregation system and method for intelligent competition making. The invention, relatinges to the technical field of sports event making, and discloses a sports event making system which. The system comprises a data collection module A, a data collection module B and a data aggregation module, the data collection module A is connected with a port of an event data provider and used for collecting event data provided by the event data provider; the data collection module B is connected with an internet port and is used for collecting competition data on the internet; the data aggregation module is used for aggregating all the competition data collected by the data collection module A and the data collection module B.; Aaccording to the invention, the event data is obtained from the event data provider and the Internet, so that a foundation is laid for making multi-azimuth event videos, and people watching the event videos can know the general situation ofthe competition more comprehensively and clearly.

The invention discloses a grounding electrode state analysis and abnormity pre-warning system. The system comprises a temperature and humidity detection system, an image processing module and a data fusion and abnormity pre-warning system, wherein the temperature and humidity detection system comprises a temperature and humidity sensor which is sued for carrying out data collection and state monitoring on the temperature and humidity of subsoil in the vicinity of grounding sources through the temperature and humidity sensor; the image processing system comprises an image acquisition module andan image processing module; the image acquisition module is used for carrying out image acquisition on landmark environments in the vicinity of the grounding sources; the image processing module is used for preliminarily processing images and extracting feature data in the images; and the data fusion and abnormity pre-warning system is used for combining the data collected by the temperature andhumidity detection system and the data extracted by the image processing module to carry out analysis , pre-warning possible dangers and providing maintenance suggestions for abnormities.

The invention discloses a medical data collection method. The method comprises the steps of receiving registration information transmitted by a registration terminal, and obtaining customer information according to the registration information; detecting whether the customer is authorized or not to collect the medical data thereof according to the customer information; if the customer has authorized to collect the medical data thereof, detecting whether the customer is a valid customer or not; and if the customer is a valid customer, collecting the medical data of the customer, and configuringa doctor seeing record of the customer. The invention further discloses a medical data collection server and a computer readable storage medium. Automatic collection of the medical data of customersis realized according to the invention.

Disclosed is an image processing device of an industrial robot. The image processing device includes a signal trigger unit, an image processing unit and a CCD image sensor. The signal trigger mechanism can send trigger signals to the image processing unit. The image processing unit can receive and process the trigger signals and can transmit the processed trigger signals to the CCD image sensor. The CCD image sensor carries out image data collection on the basis of the trigger signals, and transmits the collected image data to the image processing unit. The image processing unit processes andcalculates the received image data, so the position coordinate and the angle information of a processed workpiece are obtained. Meanwhile, the image processing unit transmits the obtained position coordinate and the obtained angle information of the processed workpiece to an industrial computer mainboard through a PCIe bus. Transmission links of the trigger signals are reduced, transmission data volume between the image processing unit and the industrial computer mainboard is greatly reduced, and the overall work efficiency of a system is improved effectively.

The invention relates to a cluster merging method for a clustery network structure. The cluster merging method comprises the following steps: setting the maximum member amount in the cluster and determining the actual member amount in the cluster at the beginning of one cluster communication period, wherein a cluster head of the cluster broadcasts a hello packet to a neighbor node in one-hop range, and determines the amount of the neighbor node according to the amount of a reply packet of the neighbor node in one cluster communication period. The invention further relates to a data collectionprocessing module for executing the cluster merging method and a microcontroller with the data collection processing module.