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

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 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 present invention belongs to the field of power plant security control systems, and particularly relates to an LSTM-based gas turbine online detection method and apparatus. The method is characterized in comprising the following steps: data collection; normalization processing; feature extraction; LSTM abnormality detection model training; and online abnormality detection: inputting to-be-detected data to a trained detection model, to obtain a model prediction value, calculating a difference between the prediction value and a sensor measured value to obtain an absolute value, and if the absolute value exceeds a given threshold, determining that abnormality occurs. The method is suitable for processing and predicting important events with a relative long interval and delay in a time series, and is suitable for analysis and fitting of the time series. A deep learning concept and technology is fully utilized to automatically select and extract hidden characteristics in data information detected by a device sensor, so as to implement online abnormality detection based on gas turbine real-time measuring point data. The LSTM-based gas turbine online detection method is large in collected data quantity, small in analysis error, and high in early warning result accuracy rate.

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 an array type flexible surface electromyography electrode and a preparation method thereof. The electrode is used for measuring the surface electromyography of a human body, and mainly comprises circular electrode plates, a flexible electrode substrate, insulating oil, medical proof fabric and conductive paste, wherein the circular electrode plates are arranged in an array manner, and depend on the flexible electrode substrate and the insulating oil; the medical proof fabric and the conductive paste are used for improving contact. The array electrode is characterized in that a plurality of electrode units are arranged into a space array, and has relatively good flexibility and adhesivity and relatively strong deformation adaptability. The space distance, the array arrangement and the impedance matching, which are adopted by the invention, can reduce the noise effectively and extract electromyographic signals to be convenient for subsequent signal processing. The electrode array, designed by the invention, can expand to more channels conveniently to obtain an electromyography image with enough space resolution, the adopted surface electrode array can avoid injury to the human body due to an insertion type electrode, and a multi-muscle-group image set can be obtained after enough electrode arrays are formed by expanding.

The invention discloses a leakage detection method and device for a vertical plastic-laying anti-leakage curtain. The leakage detection device comprises the vertical plastic-laying anti-leakage curtain, an accumulator, a plurality of electrodes, an electrode conversion box and direct current electrical prospecting apparatus. Two measuring lines are laid on the two sides of the anti-leakage curtaincorrespondingly; the electrode conversion box and the direct current electrical prospecting apparatus are arranged on the anti-leakage curtain and connected with the electrodes; and the multiple electrodes are embedded on the measuring lines sequentially with equal distances. The direct current electrical prospecting apparatus is controlled to emit currents to the underground according to the setsequence, so that potential differences are formed between the electrodes, accordingly, the current intensity and the potential differences are measured; and forward simulation is conducted accordingto the measuring results, and thus the resistivity profiles of the laid measuring lines can be obtained. The electrodes only need to be placed on the two sides of the anti-leakage curtain, therefore,construction is easy and convenient in actual engineering, detection can be conducted in the laying process of a vertical anti-leakage film, and thus hidden dangers can be treated more timely.

The invention discloses a Microstation v8i-based city rapid-modeling method, which comprises the following steps of: performing an aerial survey on a tested area according to a conventional aerial photogrammetric survey method by adopting an aerial photogrammetric survey system; and 2, performing analysis processing on aerial survey data in a Microstation v8i software environment by using a processor, namely, establishing a three-dimensional aerial photogrammetric survey model, performing land feature classification and marking, correspondingly establishing a land feature type layer-color mapping table, performing vector data acquisition, establishing models of houses, scattered trees and land features of other types respectively, processing all the land features in the tested area respectively, and obtaining three-dimensional geometric models of all the land features in the tested area.

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 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 provides a communication iron tower deformation automatic detection device and detection method. The detection device comprises a base, a detection main frame, trackballs, springs, connecting rods and rheostats; the base is disc-shaped as a whole and is fixed on a beam of a communication iron tower. The upper surface of the base is provided with a number of tracks evenly distributed in the radial direction. The trackballs are arranged on the tracks, and the detection main frame is welded and fixed at the middle position of the upper surface of the base, and the sliding rheostats are arranged on the inner side of the detection main frame. Each sliding rheostat has a slipping sheet and a rheostat main body. The plurality of springs are separately installed in the corresponding tracks. One end of each spring is in fixed connection with the corresponding trackball, and the other end of the spring is fixedly connected to the detection main frame. The connecting rods, having the same number as the tracks, are installed in the same direction as the springs. One end of each connecting rod is fixedly connected to the corresponding trackball, and the other end of the connecting rod is fixedly connected to a corresponding sliding sheet. The device and method of the invention have advantages of being simple in structure, low in cost, high in measurement precision, being convenient and fast, etc.

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 discloses a suspended overhead transmission line online monitoring system and method. The system comprises a suspended monitoring device and a master station system, wherein the suspended monitoring device comprises a mainboard module, a sensor module, a data storage unit, a suspension module, an electricity taking device, a communication module, a camera-shooting module and an innerdiameter adjustment mechanism; the mainboard module is connected with the sensor module, the suspension module, the camera-shooting module, the communication module and the data storage unit; and thesuspension module and the inner diameter adjustment mechanism are connected into a whole. The suspended monitoring device is used for collecting various meteorological conditions and conductor displacement of transmission conductors and transmitting data to the master station system through the communication module; whether a corresponding early-warning threshold is reached or not is judged through a model established according to a neural network in the master station system; and online monitoring is performed on galloping or icing of the transmission conductors under the various meteorological conditions. According to the suspended overhead transmission line online monitoring system and method, self-adaptive adjustment of the monitoring device during detection of transmission lines withdifferent outer diameters can be realized by adjusting the inner diameter change mechanism, the defect that traditional conductor fixing and monitoring equipment is unadjustable is overcome, and theuniversality of the device is enhanced.

The invention discloses a bridge bearing capacity lightweight evaluation method based on impact load. Themethod comprises steps of loading the bridge by using a drop hammer simulation impact load, measuring a displacement time-history curve and an acceleration time-history curve of a bridge control section by using a displacement sensor and an acceleration sensor, performing comparative analysis on the extracted dynamic response and a theoretical calculation value, and establishing an evaluation index to evaluate the bearing capacity of the bridge. According to the method, the defects of longperiod, high cost and large influence on traffic in the conventional load test evaluation of the bridge bearing capacity are overcome, the evaluation uncertainty caused by the randomness of evaluationindexes and the fuzziness of the method is overcome in the evaluation method, and the method has the advantages of convenience, rapidness, large collected data volume, convenience and accuracy in evaluation and the like.

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 big data processing system based on secure wireless transmission, relating to a data processing system. The system comprises a front end collection device (10), a 3G / 4G wireless transmission device (20) and a cluster server device (30) which are successively in connection. The front end collection device (10) comprises a collection data module (11) and a data encryption module (12) which are embedded therein and have the front and back interacted; the cluster server device (30) comprises a big data decryption module (31), a big data storage module (32) and a big data analysis retrieval module (33) which are embedded therein and are successively interactive. The big data processing system has the characteristics of large data collection size and real-time uploading; in a transmission process, data is encrypted, and transmission security is high; the system employs wireless transmission, and is convenient to arrange nets and maintain; the cluster server processes big data.

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 relates to an apparatus of detecting the dimension of concrete members of a bridge through infrared rays, and belongs to the technical field of bridge detection equipment. The apparatus includes a vertical infrared ray range finder 1, a horizontal angle measuring instrument 2, an upper-layer vertical angle measuring instrument 3, an angle measuring instrument fixing screws 4, a connection bearer 5, a cylindrical horizontal bearer 6, a horizontal device 7, a support 8, an observation telescope , a cylindrical rotary bearer 10, a tripod bearer 11, a data transmission cable 12, a data storage device 13, a central infrared ray range finder 14, a horizontal infrared ray range finder 15, a lower-layer vertical angle measuring instrument 16, and observation telescope fixing screws 17. The advantages are that firstly, the apparatus is high in detection precision, can comprehensively show detection conditions of the dimension of concrete members of a bridge; secondly, the apparatus is easy to operate, is high in work efficiency, has noticeable energy saving and emission reduction effects, and can acquire a greater amount of data; and thirdly, the apparatus is high in safety since detection workers do not need to climb steep cliffs or steep slopes.

The invention provides a user health management system based on a portable device. Currently, personal health is a hot topic. The invention aims to establish a personal health management system for performing comprehensive management on personal health danger factors. The system comprises a data collecting layer, a data transmitting layer and a data processing layer. Collection of health information (daily number-of-steps, heart rate, blood pressure and the like) is realized through establishing a board which is developed based on Arduino UNO, thereby extracting the user health data. Through adecision tree, a health condition score of a user in continuous time is obtained, thereby realizing tracking and evaluation to personal health condition. Through a microcontroller, various health information measuring modules are integrated, and a hardware platform is constructed for realizing health information collection of a hardware part. After the corresponding data are collected, a decisiontree model is established according the personal information such as age of the user. The health condition of the user is determined through an algorithm. Visual presentation to the user is performed, and a corresponding suggestion and reminding are generated.

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 fluid machine intelligent monitoring system and method. The system comprises a fluid cabinet, a control assembly, a monitoring unit, a host computer, a remote terminal control unit, a cloud server and an intelligent terminal. The fluid cabinet is internally provided with a fluid machine, and the control assembly is electrically connected to the fluid machine. The controlassembly includes a control module, a touch screen and a communication module. The monitoring unit is used for monitoring an operating state of the fluid machine. The control assembly is connected tothe host computer and the remote terminal control unit through a wired or wireless mode through the communication module. The remote terminal control unit is connected to the cloud server. According to the system and the method, the remote and local integrated intelligent control of the fluid machine is achieved, a reliable data support is provided for the stable operation of maintenance equipment, thus the working state of an air suspension fluid machine can be performed with high efficiency, low cost and all-round intelligence, the safety of the equipment and the system is ensured, and the overall performance of the equipment is improved.

The invention relates to a deep learning training inference system based on an FPGA. The deep learning training inference system comprises a cloud training device, a sensor device, a result comprehensive display device and an edge training inference device. The cloud training equipment, the sensor equipment and the result comprehensive display equipment are respectively connected with the edge end training reasoning equipment; the cloud training equipment is used for acquiring initial training parameters and transmitting the initial training parameters to the edge end training reasoning equipment; the sensor equipment is used for collecting data and transmitting the collected data to the edge end training reasoning equipment; the edge end training reasoning equipment performs reasoning and online training on the received initial training parameters and data; and the updated training parameters and reasoning results are output to a result comprehensive display device. The method has the advantages that high-speed and high-efficiency reasoning can be realized, the training requirement of edge end online learning can be met, meanwhile, the ability of reasoning training is achieved, and the method has the advantages of being completely autonomous, controllable, capable of being developed in a customized mode, low in power consumption and the like.

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.