42results about How to "Large amount of collected data" patented technology

The invention belongs to the field of power plant safety control systems, and particularly relates to a multi-dimensional data anomaly detection method and device based on XGBoost. The method is characterized by comprising a first step of data acquisition and cleaning, a second step of performing standardization processing on cleaned data, and unifying dimensions between data of different dimensions; step 3, feature extraction and dimension reduction; step 4, exception detection model training: training the dimension reduction data by using an XGBoost method, and establishing a prediction model of equipment exception; and step 5, abnormity on-line detection is carried out, and if a given threshold value is exceeded, it is determined that abnormity occurs. The method is suitable for processing and predicting important abnormal events of equipment, the thought and technology of ensemble learning are fully utilized, important features in multi-dimensional data information detected by an equipment sensor are effectively utilized, and then online abnormal detection based on real-time measuring point data of a power plant is achieved. The method is large in collected data volume, small in analysis error and high in early warning result accuracy.

The invention discloses a multi-electrode electrical impedance tomography data acquisition system which comprises a driving signal source, an analog switch unit, a cylindrical electrode model, a current sampling module, a voltage sampling module, a program-controlled amplification module, a true RMS (Root Mean Square) conversion module, an A / D (Analog to Digital) conversion module, a programmablegate array chip, a FLASH memory and a synchronous dynamic memory. The invention aims to experimentally analyze the boundary conditions of a research object, the distribution of electric fields in theresearch object and the relationship between a preset path for imaging and an actual path on the theoretical basis, thereby providing a methodological basis for further improving the electrical impedance tomography resolution. The substantial characteristic and significant progress of the invention mainly lie in the uniform space distribution of the electrodes, and the electric fields formed in different rotation directions have high consistency; the data acquisition capacity is large, and after each electrical rotation cycle, 32768 pieces of data can be acquired under the drive of a single-frequency signal; and by using the invention, multiple methods can be conveniently used for the research of electrical impedance tomography.

The invention discloses an ultra-high density resistivity method parallel inversion method based on a weighted multi-strategy leapfrogging algorithm. The method comprises the steps: adding a weighting coefficient to the local search of the leapfrogging algorithm so as to improve the algorithm's capability of jumping out of a local extreme value; introducing the least square search strategy to the local search of the leapfrogging algorithm so as to achieve the multi-strategy local search; employing the directed search characteristics of the least square method to improve the local convergence speed of the algorithm; employing the CUDA technology for the parallel calculation of the adaptability of each fog and the local search process of each meme group, thereby improving the total calculation efficiency of the algorithm. The method can achieve the optimal inversion according to the features of an ultra-high density resistivity method, can remarkably improve the inversion quality and efficiency of the ultra-high density resistivity method, and is very high in practicality.

The invention relates to the field of geotechnical engineering detection and test, in particular to an underground continuous wall leakage detection method. The method is characterized in that the inner side and the outer side of an underground continuous wall are each provided with multiple test holes; resistivity detection is conducted on two adjacent test holes in the same side in sequence before and after foundation pit dewatering, and the resistivity profiles between the two adjacent test holes are worked out according to the detection result; the resistivity profiles of the same position before and after foundation pit dewatering are compared, if it is found that low-resistance abnormality exists in the resistivity profile after foundation pit dewatering compared with the resistivity profile before foundation pit dewatering, it is judged that leakage occurs to the position, corresponding to the low-resistance abnormal resistivity profile, of the underground continuous wall. The underground continuous wall leakage detection method has the beneficial effects that the amount of collected data is large, the detection resolution ratio is high, sensitivity to the resistivity difference is high, and a good effect is achieved on the aspect of ground wall leakage detection; and leakage detection can be conducted on a certain segment of the underground continuous wall at a time, and meanwhile, no influence on the structural body of the underground continuous wall is generated.

The invention provides a remote monitoring system for urban fire control. The system is composed of a security information collection subsystem, a security information transmitting subsystem, and a security platform management subsystem. The security information collection subsystem and the security information transmitting subsystem are in signal connection; and the security information transmitting subsystem and the security platform management subsystem are in signal connection. According to the invention, the remote monitoring system has the following beneficial effects: the structure is simple; firefighting security management information of urban fire safety key units, automatic fire alarming information, operating state information of structural fire protection facilities, and on-duty information of operators on duty in a fire control office can be collected in real time and authenticity of the fire alarming can be determined based on association of various data, thereby realizing networking and automation of remote monitoring management for urban fire safety. The functionality is high; the collected data volume is large; and the stability, reliability, and safety are high.

The invention discloses a public transport information integrating and processing method and system, to resolve the problem that floating car data only reflects the traffic information in its routing trace, but cannot calculate the entire road traffic information. The method includes: iteratively read source data from all floating cars in a cycle; for source data from each car, calculate traffic information in different time segments; divide each road link that form a trace into road segment units, and calculate the traffic information of each unit; according to the traffic information of the units, calculate the traffic information of each road link, and then calculate the synthesized traffic information of each road.

The invention discloses an array surface myoelectric image collector based on an array electrode and a collecting method. The array surface myoelectric image collector comprises the one 16-channel array electrode, one reference electrode module, two simulation filter and amplification modules, two A / D conversion module, one data processing module and one power module. When the array surface myoelectric image collector is used, sixteen input signals are collected by the 16-channel array electrode, differential amplification and filtering are carried out by sixteen simulation filter and amplification circuits, the input signals are converted into digital signals through the two A / D conversion models, and two A / D converters race to control an SPI bus to transmit data to an MCU for processing. According to the array surface myoelectric image collector, myoelectric signals of sixteen channels can be collected, processed and transmitted at a high speed at the same time, the number of the channels can be increased when a plurality of collectors are used in a parallel connection mode, and a myoelectric image is obtained. Pains, caused by an iEMG, of people are avoided, and the myoelectric image sequence that muscle groups complete a certain motion in a cooperated mode can be further obtained.

The invention discloses a device for detecting the verticality of a pier column of a bridge and belongs to the technical field of bridge detection equipment. The device consists of an infrared distance meter 1, an angle recorder 2, an angle adjusting knob 3, a connecting bracket 4, a round steel supporting seat 5, a telescope holder 6, a level gauge 7, a telescope 8, a tripod connecting supporting seat 9, a data transmission line 10, a data recorder 11 and a telescope adjusting knob 12, wherein according to an assembling relationship, the infrared distance meter 1 is mounted on the angle recorder 2, the angle recorder 2 is mounted at the front end of the connecting bracket 4, the lower end of the connecting bracket 4 is mounted on the right side above the round steel supporting seat 5, the telescope holder 6 which is provided with the telescope 8 is mounted on the left side above the round steel supporting seat 5, the level gauge 7 is mounted at the edge of the right side above the round steel supporting seat 5, the tripod connecting supporting seat 9 is mounted below the round steel supporting seat 5, and the data transmission line 10 is connected with the infrared distance meter 1, the angle recorder 2 and the data recorder 11 respectively. The device is simple in structure and large in detection range, the effects of energy conservation and emission reduction are obvious, and a new field of the verticality detection of the pier column of the bridge is developed.

The invention discloses a novel saturation device for a piezocone penetration probe measurement system and a filter ring thereof. The device mainly comprises a probe (1), a hole pressure filter ring (9), a sealed container (3) and a vacuum pump (7); an aperture is opened in the middle of the upper part of the sealed container (3); a taper angle root at the lower part of the probe (1) is provided with the hole pressure filter ring (9); the bottom half of the probe (1) penetrates into the sealed container (3) through the aperture; an O-shaped seal ring (4) is embedded between the probe (1) and the aperture; the upper part of the sealed container (3) is provided with a clamp (2); glycerin (8) is injected in the sealed container (3); the sealed container (3) is connected with the vacuum pump (7) by an air duct (5); and the upper part of the vacuum pump (7) is provided with an exhaust valve (6). By using the saturation device, the saturation device has the characteristics of facility, labor conservation, high efficiency and the like and provides a powerful saturation tool for the in-situ pore water pressure static cone penetration test experiment.

The invention discloses an array-type flexible surface electromyography electrode and a preparation method thereof. The electrode is used to measure the surface electromyography signal of a human body, and mainly includes a circular electrode sheet arranged in an array and a flexible electrode substrate and insulating oil on which it depends. As well as medical tape and conductive paste for improved contact. The array electrode consists of a plurality of electrode units arranged in a spatial array, and has good softness, adhesiveness and strong deformation adaptability. The spatial distance, array arrangement and impedance matching adopted by the present invention can effectively reduce noise and extract electromyographic signals, so as to facilitate subsequent signal processing. The electrode array designed in the present invention can be easily expanded to more channels to obtain electromyographic images with sufficient spatial resolution, and the surface electrode array adopted can avoid the damage of the plug-in electrodes to the human body, and can also be obtained after expanding enough electrode arrays. Set of images of multiple muscle groups.

The invention discloses a vehicle-mounted mobile resistivity detection system and working method suitable for urban environments. The invention can realize non-destructive ground-type resistivity exploration, flexibly arrange detection lines in a vehicle-mounted manner to realize the layout of the detection system, and reduce Stray electrical signal interference to adapt to the complex noise environment of the city. The invention aims at engineering requirements in the development and construction of urban underground space, combines and exerts the advantages of the mobile vehicle-mounted system, fully utilizes the urban road surface environment, and improves operating efficiency.

The invention discloses a mobile network quality automatic monitoring system and a method for the GSM (Global System for Mobile Communications) and the 3G (The 3rd Generation Telecommunication). The system comprises a background server and more than one automatic detecting terminal based on ARM (Advanced RISC Machines) embedded; and the background server is connected with all the automatic detecting terminals based on ARM embedded. The monitoring method comprises the following steps of: automatically obtaining various network quality parameters of a wireless network access module in the GSM / TD-SCDMA (Time Division-Synchronization Code Division Multiple Access) network, executing service test to acquire service quality parameters related to voice telephone traffic, and transmitting the acquired parameters to the background server through a TCP / IP protocol of the GPRS / TD (General Packet Radio Service / Time Division) wireless network when the system is idle so as to analyze and evaluate every parameter of the network quality. The background server processes and stores the network quality parameters returned back by the automatic detecting terminals, which is convenient for managers to access data, and analyze network conditions and solve problems in time.

The invention discloses a fuel consumption correlation factor analysis method for vehicle condition signal data, and the method comprises the steps: determining a vehicle condition signal affecting fuel consumption, and screening fuel consumption signal data from a vehicle condition signal database of a big data platform; adopting a LightGBM algorithm in a gradient boosting decision tree to scoreeach numerical type vehicle condition signal and category type vehicle condition signal in a finally output numerical type vehicle condition signal and a finally output category type vehicle conditionsignal, wherein the higher the score is, the higher the correlation between the numerical type vehicle condition signal and an oil consumption signal is; and sorting the finally output numerical typevehicle condition signals and the finally output category type vehicle condition signals according to scores from high to low, and outputting a ranking result. According to the method, effective modeling can be carried out on complex vehicle condition signals, and oil consumption analysis is more accurate.

The invention relates to the field of geotechnical engineering detection and test, in particular to an underground continuous wall leakage detection method. The method is characterized in that the inner side and the outer side of an underground continuous wall are each provided with multiple test holes; resistivity detection is conducted on two adjacent test holes in the same side in sequence before and after foundation pit dewatering, and the resistivity profiles between the two adjacent test holes are worked out according to the detection result; the resistivity profiles of the same position before and after foundation pit dewatering are compared, if it is found that low-resistance abnormality exists in the resistivity profile after foundation pit dewatering compared with the resistivity profile before foundation pit dewatering, it is judged that leakage occurs to the position, corresponding to the low-resistance abnormal resistivity profile, of the underground continuous wall. The underground continuous wall leakage detection method has the beneficial effects that the amount of collected data is large, the detection resolution ratio is high, sensitivity to the resistivity difference is high, and a good effect is achieved on the aspect of ground wall leakage detection; and leakage detection can be conducted on a certain segment of the underground continuous wall at a time, and meanwhile, no influence on the structural body of the underground continuous wall is generated.