145 results about "Background analysis" patented technology

The invention relates to a method for positioning WiFi (wireless fidelity) application focused areas. The method comprises the following steps: a WiFi signal acquisition terminal arranged at a test site monitors and captures a part of or all WiFi wireless data messages from surrounding areas; the WiFi signal acquisition terminal analyzes the captured WiFi wireless data messages and screens out a detection request frame from the messages; the WiFi signal acquisition terminal acquires WiFi user information with the MAC(media access control) address and signal strength of a network card, and WiFi user data records are formed one by one in a form of user records and stored; the WiFi signal acquisition terminal uploads the stored WiFi user data records to a background analysis system; and the background analysis system summarizes and analyzes the received WiFi user data records so as to obtain the distribution situation of a part of or all WiFi application focused areas in a specific area. The invention relates to a WiFi signal acquisition terminal and a positioning system for WiFi application focused areas. By using the method and system disclosed by the invention, the WiFi user scale of each site can be analyzed, and WiFi application focused areas can be positioned precisely.

The invention provides an extra high voltage transmission line online monitoring system, comprising that a data collection terminal collects comprehensive load, temperature of a transmission line, inclination angle of a pole, inclination angle of an insulator string, leakage current of the insulator string, meteorological information, vibration of transmission line and vibration of the pole, transmits the collected signals to a central data processing unit; the central data processing unit performs anti-interference process on each signals, packs and transmits to a background analysis device through a wireless communication network, and displays data information on a GIS electronic map; the background analysis device determines whether the transmission line is abnormal or not based on each signal and combination of mathematical model, transmits alarm information in time when being abnormal. The invention performs anti-interference process on the collected data, is capable of shielding interference of extra high voltage strong electromagnetic field and accurately monitoring working conditions of extra high voltage transmission line.

The invention relates to the technical field of internet information processing, in particular to an associated data visualization display method. The method comprises: abstracting associated information of target information into sub-nodes of a corresponding level number, and adding directed edges among the nodes according to pointing relationships among the associated information; and constructing an associative relationship map with the directed edges among the nodes taking the target information as a starting point by using a visualization tool. According to the method, other information associated with the target information can be analyzed from massive associated information data, and an associative mode between an associative path and the nodes is visually displayed by adding the corresponding directed edges among the nodes; and the path is clear, visual and easy to understand, so that the manpower and time costs of users in related data arrangement and analysis are greatly reduced, a reference basis is provided for target information background analysis and mining and related question analysis and tracking, and the method has wide application prospects in the fields of information mining and information processing.

The invention relates to a configurable method for a multi-vehicle model body information acquisition system. The method includes the following steps that: acquisition configuration files and analysis configuration files which have corresponding relations are generated based on the different vehicle body buses of different vehicle models and the types of bus information and according to requirements of bus information acquisition; the acquisition configuration files and the analysis configuration files are introduced to a target vehicle-mounted bus information acquisition terminal and a server respectively; the vehicle-mounted bus information acquisition terminal acquires and generates standard encrypted compressed files according to the acquisition configuration files; the standard encrypted compressed files are uploaded to the server; and vehicle body bus information can be analyzed completely according to corresponding analysis configuration files. With the method adopted, acquisition and analysis of different vehicle body bus information can be realized fast through different configuration files for different vehicle models, and a situation in which one set of system is needed to be developed for each vehicle model can be avoided, and the standardization of the vehicle-mounted bus information acquisition terminal and a background analysis program can be realized, and the research and development efficiency of new products can be greatly improved.

The present invention discloses a system and method for evaluating urban road traffic zone servings levels based on actual measurements, belonging to urban road traffic management and control technique field. The technical project is that the system includes a microcomputer type microscopic traffic stream parametric synthesis measuring device, a remote management system, a background analysis software system, a zone traffic status modeling system, a traffic data information platform, and a zone traffic dynamic evaluation system. The method includes mounting the microcomputer type microscopic traffic stream parametric synthesis measuring device at site to collect the field data of coil, microwave and the like, transmitting the data to a data center through a network or communication, then implementing a series of analysis processes to the data to obtain intermediate and macroscopic models and parameters of the zone traffic status, and finally implementing the dynamic evaluation and emulation verification of the zone traffic status to provide safeguards for the harmonization operation of the urban traffic management.

The invention provides an intelligent detection method for electric vehicle charging control. The intelligent detection control method includes the following steps that A, an formation acquisition sub module acquires information from a front end charging terminal, then a data stream record is formed, and information is acquired every a period of time in the whole charging process; B, background modeling analysis is conducted, and then a background analysis model is formed; C, an access control sub module sends control instruction information to the front end charging terminal according to a preset charging mode value acquired by the background analysis model; D, an intelligent charging control detection module is based on the data stream record acquired in real time to construct a decision tree classification model through an increment classification decision tree method; E, a local analysis model and the background analysis model are compared; F, a comparison result acquired by the step E is transmitted to background analysis system software, a classification target value is prejudged with the reference to the local analysis model, and the background analysis model is optimized. According to the intelligent detection method, the local efficient detection function is achieved, and a background system can continuously adjust and optimize the background analysis model according to the received result.

The invention discloses a grid equipment state inspection and evaluation training system. The grid equipment state inspection and evaluation training system comprises an equipment failure simulation module, a data information acquisition module, a state evaluation module and a risk evaluation module. According to the grid equipment state inspection and evaluation training system, grid data are generated through operation of the equipment failure simulation module and then transmitted to a background analysis module through a data acquisition system for failure diagnosis and risk elevation. According to the grid equipment state inspection and evaluation training system, the actual condition of a grid is simulated through equipment, that is to say, the big grid is moved into a laboratory; a novel and open advanced application comprehensive training system is established, an electric transmission and transformation equipment state information advanced application system and a dynamic simulation system are combined together organically, the correctness of an electric transmission and transformation equipment failure simulation system is verified through advanced application software, the correctness and reliability of the advanced application software also can be verified on the contrary, the combination realizes reuse of the grid equipment state inspection and evaluation training system, and therefore resources are saved greatly.

The invention provides an impact load modelling system and a method on the basis of practical measurement, belonging to the measurement and identification technique field of impact characteristic load modelling of modern power system; the system comprises six parts: a micro-computer typed impact load dynamic characteristic recording instrument, an impact load modelling platform, a remote management system, an impact load surveying information platform, a background analysis software system and a power system simulation software interface; the technical proposal of the invention is that digital data collecting, processing, managing and exchanging system which uses computer technique as core is combined with the practical production; a load model which can describe the impact load characteristic is established by the impact load modelling platform; the established impact load model is applied to the digital simulation analysis of power system by the interface of the power system simulation software.

This invention relates to an automatic testing technology for antenna isolation degree of wireless transmitting station containing a detecting module which is composed of RF signal generator, RF signal treatment and background control analyzer display, antenna 1 and 2, among which RF generator generates a RF signal controlled by background analysis, transmitton via antenna 1 and received by antenna 2 than enters into the background analysis unit after being treated by RF signal treatment unit and finally displays so as to test antenna isolation degree of direct transmitting station timely by monitors. This invention suits the production of the present stations (containing GSM900MHz, DCS1800MHz, CDMA800MH-z and other frequency bands)

The invention relates to a management system based on water quantity information acquisition and pumping station group optimization. The system comprises a background analysis system and an in-situ control system; the background analysis system is responsible for backend data and instruction communication acquisition, data storage and business application and model algorithm of the whole system, wherein the business application includes water quantity information and water supply information acquisition, real-time water quantity scheduling, water quantity statistics analysis, operation schemeevaluation and feedback adjustment, and the model algorithm includes a water demand model, a prediction model, a water flow evolution model, a water quantity distribution model, a scheme evaluation model, a pumping station group optimized scheduling model and a single-pump optimized scheduling model. With the system of the invention adopted, the efficiency of a single pumping station and all pumping stations of a pumping station group can be improved, energy consumption is reduced, labor costs and risks are reduced, and the social and economic benefits of the operation of the pumping station group can be improved.

The invention relates to an industrial robot kinematics performance testing device which comprises a clamping fixture, wireless detection acquisition modules, a wireless router, a computer and a background analysis system running on the computer. The clamping fixture is used for fixing the wireless detection acquisition modules on mechanism arms; the wireless detection acquisition modules are used for acquiring movement data of the mechanism arms of a robot; the wireless router is used for realizing networking of the wireless detection acquisition modules to establish communication among the modules; the computer and the background analysis system running on the computer are used for analyzing acquired movement performance data and displaying performance data and dynamic curve to complete data store and research of data files and output test evaluation reports. By the arrangement, a movement performance platform is established by adopting effective velocity and acceleration detection technology and a data analysis processing method to have finished-product tested and analyzed, dynamic performance of the industrial robot can be well estimated, and good application prospect is achieved.

This invention provides a real load module establishing system, which comprises load module establishing system, micro machine load dynamic characteristic recorder, load module establishing plat, remote management system, background analysis software system and power system artificial software interface. Its detail project is as the following: to adopt the digit collection, process, management and exchanging system centered as computer technique; the micro load dynamic characteristics recorder main functions are accomplished by software; the hardware system comprises CPU, BIOS device, data buffer, memory device and human to machine dialogue device and communication device.

The invention relates to the technical field of fitness data acquisition, in particular to an intelligent exercise and health data acquisition system. The intelligent exercise and health data acquisition system comprises a user body shape scanning device, a cardiopulmonary exercise ability detection device, a gene detection device and a background analysis system; the user body shape scanning device is used for acquiring posture data and body shape data of the user's body and acquiring composition data of the user's body at the same time; the cardiopulmonary exercise ability detection device is used for detecting the cardiopulmonary exercise ability of the user and generating user cardiopulmonary exercise ability data; the gene detection device is used for conducting exercise gene detection on the user. The intelligent exercise and health data acquisition system can solve the problems that as no physical fitness test instruments are available or only resistance-type physical fitness test instruments are used in an existing fitness cabin or fitness room, physical fitness test data is not comprehensive and users can not be effectively guided in exercise.

The invention discloses an internet of things gateway edge calculation-based vibration analysis system and analysis method. The system comprises a vibration sensing unit, a gateway analysis unit, a background analysis unit, and a client service unit. The method comprises a vibration sensing step, a gateway analysis step, a background analysis step and a client service step. A part of or all data analysis and calculation can be performed flexibly on the internet of things gateway according to the calculation capability of the internet of things gateway, the calculation capability of the internet of things gateway is fully utilized, the hardware resources are not wasted, and the overall use and maintenance costs of the system are lowered.

The invention relates to an abnormal power consumption monitoring and positioning system and method. Power consumption information of all users in a transformer area is input into an abnormal power consumption detection model, effective features are extracted and classified, and a suspected abnormal user list is output; in a range of the suspected abnormal user list, smart monitoring and data image collection devices are mounted for strongly suspected abnormal users of which abnormal power consumption evidences are judged insufficiently on site, and real-time monitoring and evidence obtaining are carried out on the power consumption condition of the strongly suspected abnormal users; and the power consumption data of the strongly suspected abnormal users collected by the smart monitoring and data image collection devices is received through a background analysis and push system for real-time analysis, the condition that the abnormal users are discovered is warned, and abnormal power consumption warning information is pushed to a plurality of power consumption real-time monitoring smart terminals contained in a power consumption real-time monitoring application platform. According to the system and the method, the problem that the abnormal power consumption is difficult to discover, obtain evidence and meter can be solved, and the abnormal power consumption monitoring is relatively smart and efficient.

The invention relates to an intelligent management system for kitchen garbage trucks based on the Internet of Things, including garbage trucks for transporting garbage and an information control system for supervising the working conditions of the garbage trucks; the information control system includes a data acquisition device, a data acquisition Terminal, intelligent background analysis system and client equipment; the data collection device is used to collect information on the working conditions of garbage trucks and the garbage they carry; the data collection terminal is used to collect and summarize the data information obtained by the data collection device; the intelligent The background analysis system is used to analyze and process the data information sent by the data collection terminal. The intelligent management system of the kitchen garbage truck reasonably designs and plans the sanitation operation management mode, improves the sanitation operation quality, and reduces the sanitation operation cost. At the same time, the data collected by a large number of smart sensors is processed and analyzed, and then the potential commercial value of sanitation data is deeply excavated. The market prospect is promising.

In an approach to assessing risk, one or more computer processors retrieve a profile associated with a first user, wherein the first user is a resource associated with at least one task of a project. The one or more computer processors retrieve one or more activities associated with the first user, based on the profile associated with the first user, including one or more activities associated with the project and one or more activities not associated with the project. The one or more computer processors perform a risk analysis of the project, based, at least in part, on the one or more activities associated with the first user. The one or more computer processors determine whether one or more risks to the project are identified. Responsive to determining one or more risks are identified, the one or more computer processors recommend one or more risk reduction activities.

The invention discloses an intelligent all-service fault diagnosing system. The intelligent all-service fault diagnosing system comprises a data gathering and testing terminal, a cloud storage platform and an analysis server, the data gathering and testing terminal receives data gathered by a plurality of test points, the data gathering and testing terminal is accessed into an IPTV optical network, and the data gathering and testing terminal, cloud storage platform and analysis server are in communication connection in sequence; the data gathering and testing terminal completely sends the gathered data to the cloud storage platform, and the analysis server compares the different data to confirm a problematic point location. A background analysis system of the intelligent all-service fault diagnosing system uses a mature free software to compile custom scripts to realize effective treatment, the system uses a lot of free open source platforms to perform secondary development, the comprehensive cost is greatly lowered, the field staff do not need to perform complex configuration and deployment and correct user terminals or network equipment, and the intelligent all-service fault diagnosing system is entirely transparent to the business application of the user and capable of diagnosing and analyzing faults under a good user sensing state.

The invention discloses a system and a method for farmland intelligent-control water distribution management. The farmland intelligent-control water distribution management system comprises a terminal user card, an intelligent water supply controller and a water resource management system, wherein the terminal user card exchanges information with the intelligent water supply controller through a wireless radio frequency technique; the intelligent water supply controller is connected with the water resource management system; and background analysis software is loaded on a PC server of the water resource management system. The farmland intelligent-control water distribution management method comprises four steps, namely a step of analyzing data and formulating a scheme, a step of setting quota according to the scheme, a step of setting parameters and intelligently supplying water and a step of acquiring information, feeding back and adjusting. The invention can realize planned water use of agricultural irrigation, scientific water distribution, precise irrigation and intelligent control, and provides an effective water saving-distributing management scheme particularly for the problem of reasonably utilizing water resources in arid water-deficient areas.

The invention discloses a detection device for apparent defects and an assembly of an electric paper book. Three-section type online detection is adopted in the detection process of the device and back side detection of a product is carried out in a gap of the sections; and detection for the requirements on pollution, scratches, missing parts, assembly errors and the like is carried out by detection software based on a pattern recognition algorithm. According to the electric paper book detection device defined by the invention, the position of the electric paper book is transmitted to a camera through a sensor to trigger and collect images; and then background analysis is carried out according to the collected images. The design of the device guarantees an automatic flow of the detection process and the detection state can be monitored; and then products can be processed by a qualified/unqualified classification according to a detection result. By using the electric paper book detection device disclosed by the invention, objective and accurate detection can be obtained. In addition, the operation of the device is convenient and easy to understand and the defects of the electric paper book can be accurately detected without professional skills, so that careless mistakes caused by the judgment of artificial subjective factors can be effectively prevented and the detection deviceis good for improving the work efficiency of staff and the economic benefits of enterprises.