34results about How to "For real-time analysis" patented technology

The invention discloses an analyzing method of a grid fault current shock topological graph. The method comprises the following steps that 1, wiring diagram information and real-time status information of plant stations and primary equipment in all transformer substations are obtained; 2, topology is conducted on the intra-station primary equipment from the position of a breakdown switch in one transformer substation by means of a tree graph algorithm according to the wiring diagram information and the real-time status information, and then topology is conducted from intra-station to the side transformer substations till topology of all the transformer substations is completed; 3, a tree graph formed through topology is output to be the grid fault current shock topological graph in a tree mode by the shortest path. According to the analyzing method of the grid fault current shock topological graph, a shock path of a fault current to a main grid at the fault occurring moment is vividly shown in a grid fault current shock topological graph mode, and an accurate calculation basis is provided for the quantitative research aspect of fault current cumulative shock.

The invention discloses a road slope calculation method and device based on monocular vision. The method comprises the following steps: collecting image information of a road, and carrying out pretreatment on the image information; extracting straight line information in the processed image information, and adding constraint conditions to obtain a lane line of the road through fitting; extractinga plurality of feature points of the lane line, and calculating slope between two adjacent feature points at the same side of the lane line; within one preset time, analyzing slope change informationof the road according to change laws of the lane line slope in a single frame picture; judging the number of slopes of the road according to the slope change information, and then, calculating an image coordinate of a corresponding road surface vanishing point according to the feature points on the lane line; and calculating the slope of the road according to the image coordinate of the road surface vanishing point. The method and device complete the calculation of the road slope by utilizing monocular vision, can better analyze location information of an obstacle and improve precision of thedistance measurement result of the obstacle.

The invention discloses an industrial equipment control optimization method based on monitoring data. The industrial equipment control optimization method comprises the steps of: aligning different timestamps between historical operation state data and historical technological data, and generating a historical operation state data set and a historical technological data set which are consistent intime sequence; carrying out model training on the formed feature vector sample set, and constructing a health diagnosis model; inputting current operation state data and current process control datainto the health diagnosis model, and acquiring the prediction probability of a current equipment health state; if the prediction probability is less than or equal to a probability threshold, dividinga process control parameter set into multiple groups of process control parameter sets, inputting each group of process control parameter set and current operation state data combination into the health diagnosis model, and acquiring the maximum prediction probability of the current equipment health state; and setting the process control parameter set corresponding to the maximum prediction probability as process control parameters of current equipment. According to the n industrial equipment control optimization method and the system, the operation state of the equipment can be analyzed morecomprehensively.

The invention relates to a high-speed digital microscopic imaging method and apparatus based on a digital coherent receiver. The method comprises the following steps: subjecting femtosecond laser light to filtering and gain dispersion and then dividing the femtosecond laser light into signal light and reference light; subjecting the signal light to diffraction space dispersion, then allowing the signal light to enter a lens imaging system and allowing the signal light to return along an optical path after carrying of sample information; and allowing the signal light and the reference light to enter the digital coherent receiver for coherence, carrying out acquisition by using a high-speed oscilloscope and demodulating and recovering an image in virtue of a computerized algorithm. Compared with CCD and CMOS image controllers extensively applied in the prior art, the method and apparatus provided by the invention have the advantages that an ultrahigh 100 MHZ frame rate can be obtained as same-magnitude imaging resolution is guaranteed; and all-digital data acquisition based on the digital coherent receiver is beneficial for later real-time analysis and image optimization.

The invention discloses a chromatograph sample bottle which comprises a bottle mouth and a bottle body, wherein, the bottle body is provided with an inlet tube and two outlet tubes and the inner cavity of the bottle body is provided with a sample tube; one end of the sample tube is connected with one of the outlet tubes, while the other end thereof is communicated with the inlet tube and the inner cavity of the chromatograph bottle body. The chromatograph sample bottle of the invention has special and novel structure and is convenient for storing flowing samples, especially suitable for storing samples with large flow or higher flow speed, and can be suitable for various chromatograph sample ways such as entering a sample needle and fetching the sample, thus solving the problems of sample storing, sample fetching and waste discharging of the flowing samples with large flow rate, being convenient for the real-time analysis of the samples in different reacting time segments, effectively increasing the accuracy of the analyzing result and establishing a basis for a comprehensive and accurate sample analysis.

The invention discloses an intelligent bogie system applied to atmospheric environment monitoring and belongs to the environmental monitoring equipment technical field. The intelligent bogie system comprises an intelligent bogie, an environmental monitoring cloud platform in wireless communication connection with the intelligent bogie, and an environmental monitoring and control center which is inwired communication connection with the environmental monitoring cloud platform; the intelligent bogie can automatically inspect and monitor each environment point in a monitoring environment condition and upload atmospheric environment monitoring data to the environmental monitoring cloud platform after finishing monitoring, so that the monitoring personnel of the environmental monitoring and control center can process and analyze data obtained by the atmospheric environment monitoring, and find quick solutions for monitoring environmental problems. With the intelligent bogie system appliedto the atmospheric environment monitoring provided by the invention adopted, the non-fixed-point monitoring of an atmospheric environment is realized, the work efficiency of the the environmental monitoring of the intelligent bogie system can be improved, and the atmospheric monitoring can be better improved and more scientific.

The invention provides a real-time waveform reconstruction method based on three-point asynchronous sampling. The real-time waveform reconstruction method comprises the following steps that equal interval sampling of signals is performed according to fixed sampling frequency; frequency components apart from fundamental wave are filtered by a digital filter; a waveform reconstruction parameter deltak is calculated by selecting three sampling points after filtering processing; and software resampling is performed on an original sampling sequence by utilizing the parameter, a time domain sampling location is changed in real time and a synchronous sampling sequence is obtained, and a signal waveform is reconstructed. According to the method, error caused by incomplete synchronous sampling can be avoided so that real-time performance is high, calculation is convenient and realization is easy.

The present invention discloses a big data network control platform for operation and maintenance of a substation. The big data network control platform comprises a substation terminal server, a cabinet intelligent terminal, a master server and a communication terminal work station. The substation terminal server is connected with the master server. The master server is used for acquiring working state data of a running work area. The substation terminal server is connected with the cabinet intelligent terminal. The master server is connected with the communication terminal work station. The platform connects a handheld terminal device with a unified management platform so as to perform data exchange, the handheld terminal device can show a delivered work task directly and clearly through the network, and feeds back an inspection result to the unified management platform in real time, so that repeated work is avoided, the operation and maintenance standards and norms of the substation are unified, the site can be analyzed conveniently and managers can perform real-time analysis, the steps are standardized, the loop is closed in time, and office business is handled in a paper-free way.

The invention discloses a mobile sewage detection device with balance adjustment function. The mobile sewage detection device comprises a sewage detection mechanism body, a sewage detector, a buoyancy device and solar photovoltaic panels, wherein a controller is arranged inside the sewage detection mechanism body; the front and back ends of the sewage detection mechanism body are symmetrically provided with auxiliary boards; the in-between position of the auxiliary boards is provided with a propeller set which extends outwards; the top of each auxiliary board is provided with an infrared range sensor; the propeller set drives the sewage detection mechanism body to move; and the infrared sensing gauge and buoyancy device are matched to perform balance adjustment in the sewage detection mechanism body motion process. The sewage detector provides a stable detection environment, enhances the detection precision, and ensures the stable and sustainable use of the sewage detection device in the sewage detection process.

The invention discloses a self-propelled soil pollution treatment device based on Internet-of-things detection. The self-propelled soil pollution treatment device comprises a base, walking wheels, a first motor and a medicament storage chamber. The walking wheels are mounted below the base, the first motor is mounted above the base, a supporting plate is arranged above the base, a second motor is mounted on the upper surface of the supporting plate, a first mounting plate is fixed to the lower surface of the supporting plate, and a soil crushing cutter is arranged on the inner side of the first mounting plate. The self-propelled soil pollution treatment device based on Internet-of-things detection is provided with the soil crushing cutter and a soil salinity sensor, soil can be crushed through rotation of the soil crushing cutter, the soil salinity sensor can move in the soil along with the device in the subsequent process, the salinity in the soil can be analyzed in real time in the subsequent process, medicament discharging is controlled through a central processing unit in the subsequent process, the device can automatically move through cooperation of the walking wheels and the first motor, and the follow-up working efficiency and the intelligent degree of the device are improved.

The invention relates to a carotid artery ultrasonic image processing method and device, a storage medium and ultrasonic equipment. The carotid artery ultrasonic image processing method comprises the following steps: collecting a real-time ultrasonic image of a carotid artery; determining the intima-media thickness of the carotid artery according to the real-time ultrasonic image; and analyzing the carotid artery stenosis rate according to the intima-media thickness to obtain an analysis result. The carotid artery ultrasonic image processing device comprises a sending part, a receiving part, a processing part and a display part. The sending part and the receiving part are configured to be connected with an ultrasonic probe; the receiving part receives a reflection signal of the ultrasonic probe and transmits the reflection signal to the processing part; the processing part is used for processing the received reflection signal, determining the intima-media thickness of the carotid artery and analyzing the stenosis rate of the carotid artery to obtain an analysis result; the display unit receives the signal from the processing unit and displays an analysis result. The real-time ultrasonic image is collected, real-time online processing is carried out, the analysis result is obtained, the waiting time is shortened, and the efficiency is improved.

The invention discloses a chromatographic bottle for continuous flow, segmented sampling and sample storage. The chromatographic bottle comprises a bottle neck, a bottle body, a tube A, a tube B and a tube C, wherein an outlet end close to an inlet end of the tube A and an outlet end away from the inlet end of the tube A are arranged on the tube A and connected with inlet ends of the tube C and the tube B respectively; the inlet end of the tube A is connected with an inlet tube; an outlet end of the tube B is communicated with an inner cavity of the bottle body of the chromatographic bottle; and an outlet end of the tube C is connected with a flow division outlet tube. The chromatographic bottle is applicable to various chromatographic sample injection modes, such as sampling by a sample injection needle, so the problems of interval, sample storage, sampling and waste discharge of test samples which are treated by other equipment and flow out step by step can be solved; furthermore, the chromatographic bottle is convenient for analyzing the test samples in different treatment time periods of a pretreatment device or the test samples of continuous batches treated by the pretreatment device; and therefore, the accuracy of an analysis result can be improved effectively, and a basis is constructed for comprehensive and accurate analysis of the test samples.

The invention relates to an OS-ELM-based rolling bearing health state estimation system and method, and belongs to the technical field of fault diagnosis. The system comprises a signal acquisition module, a WIFI transmission module and a PC end analysis module. The signal acquisition module is composed of an infrared imager, an A / D converter and an STM32f103 chip. The WIFI transmission module is composed of a USR-C215 and a wireless router. According to the invention, an infrared camera of the signal acquisition module is used to shoot a rolling bearing, the A / D converter is used to carry out analog-to-digital conversion on an image signal, a converted digital signal is transmitted to an STM32f103 through an SPI interface and then is transmitted to the PC end analysis module through the WIFI module, and a rolling bearing health condition prediction model is established through OS-ELM. Therefore, the running state of the rolling bearing is estimated. The system and the method have the advantages of high safety, good transmission performance, high accuracy, convenience, high efficiency and the like, and are suitable for rolling bearing health state estimation of various devices.

The invention discloses a hyperspectral imaging signal processing system and method, the processing system comprises an imaging signal acquisition unit, a filtering unit, a central processing unit andan imaging signal enhancement unit, the imaging signal acquisition unit acquires hyperspectral imaging signals, and the imaging signal acquisition unit is connected with the central processing unit through the filtering unit, wherein the central processing unit is connected with the imaging signal enhancement unit, the processing system further comprises a noise removal unit and an imaging signaltransmission unit, the noise removal unit is connected with the central processing unit, and the central processing unit is further connected with a background terminal through the imaging signal transmission unit. Filtering denoising and image enhancement processing of hyperspectral imaging signals can be realized, the hyperspectral imaging quality is improved, and background real-time analysisis facilitated.

The invention discloses an ultra-high-speed orthogonal polarization imaging device and method, and the imaging method comprises the following steps: carrying out filtering, dispersion, gain and orthogonal polarization multiplexing for femtosecond laser, dividing the femtosecond laser into two parts, i.e., orthogonal signal light and reference light, and enabling the orthogonal polarization direction to be along the fast and slow axes of a polarization maintaining optical fiber; enabling the signal light to be dispersed through the diffraction space, enter a spatial light imaging system, carrysample information, and return along a light path; accessing the signal light loaded with sample information and reference light to an optical coherent receiver together to complete optical coherent detection, converting the light signal into an electric signal, subjecting the electric signal to high-speed sampling and conversion through high-speed analog-to-digital conversion so as to form a digital signal to be output, and finally, demodulating and restoring an image by a computer. Compared with a traditional CCD imaging sensor, the polarization information of a sample can be obtained at anultrahigh hundred MHz frame rate under the condition that the micron-scale imaging resolution is guaranteed, and full-digital acquisition based on the optical coherent receiver is beneficial to later-period real-time analysis and image optimization processing.

Belonging to the application field of bus video passenger statistics, the invention discloses a bus entrance and exit passenger head detection method based on empirical mode decomposition; j In (i), the image in the jth row is decomposed by empirical mode, and the intrinsic mode function of the image in the jth row is obtained, and then the objective function F in the jth row is obtained by using the intrinsic mode function in the jth row. j (i); finally use the objective function F j (i) Get the threshold t of the image q , using the threshold t q The image is segmented to complete the extraction of the passenger's head in the video. The present invention eliminates the influence of the complex background in the operation of the bus, improves the accuracy and reliability of the identification and extraction of the passenger's head, and effectively removes the influence of the passenger's clothes. false detection.

The invention discloses a chromatographic bottle suitable for continuous segmented sampling and sample storing. The chromatographic bottle comprises a bottleneck and a shell, wherein, the shell is provided with a core space of the shell, an inlet tube, an outlet tube and a split outlet tube, the core space of the shell is provided with a sampling tube, the sampling tube comprises a tube A, a tubeB, a tube C and a tube D, the inlet end of the tube A is connected with the inlet tube, the outlet end of the tube A is connected with the inlet ends of the tube C and D respectively, the outlet end of the tube C is connected with the split outlet tube, the outlet end of the tube D is connected with the inlet end of the tube B, and the outlet end of the tube B is communicated with the core space of the shell. The chromatographic bottle is suitable for various ways of sample introduction such as sampling by injection needle, capable of solving the problem of the sample in the process of flowing out by segments and automatic and continuous processing after processed by other equipment, and is convenient for real-time analyzing samples in different process time slots of pretreatment equipment or processed continuous batches of samples.

The invention discloses an industrial equipment control optimization method based on monitoring data, which aligns different time stamps between historical operating state data and historical process data, and generates historical operating state data sets and historical process data sets with consistent time series; Carry out model training on the formed feature vector sample set to build a health diagnosis model; input the current operating status data and current process control data into the health diagnosis model to obtain the predicted probability of the current equipment health state; if the predicted probability is less than or equal to the probability threshold, Divide the process control parameter set into multiple sets of process control parameter sets, input each set of process control parameter sets and the current operating state data combination into the health diagnosis model, obtain the maximum prediction probability of the current equipment health state, and correspond the maximum prediction probability to The process control parameter set of is set as the process control parameters of the current equipment. The invention can more comprehensively analyze the operating state of the equipment.

The invention discloses a real-time analysis system and method based on financial big data. The system comprises a main screen and at least one auxiliary screen, a data line and a power supply line are connected between the main screen and the auxiliary screen, a processor and a battery are arranged in the auxiliary screen, and the main screen and the auxiliary screen are detachably connected. The method comprises the following steps of receiving a first instruction, transmitting the data from a server to a main area, processing the data in the main area, and displaying the data on the main screen; receiving a second instruction, transmitting the data from the main area to a specified partition, processing the data in the specified partition, and displaying the data on the corresponding auxiliary screen; receiving a third instruction, and transmitting the data from an instruction partition to the main area. According to the system and the method, the operation of operators can be greatly simplified, the data can be synchronously processed in real time and respectively displayed, and the operators can conveniently analyze the data.

The invention relates to the technical field of molecular biology, in particular to nucleic acid sequencing, and particularly relates to a sequencing joint and a sequencing analysis system thereof. Wherein the sequencing joint is of a partially complementary and paired Y-shaped structure, and one chain of the sequencing joint sequentially comprises an internal Index sequence, an Index1 sequencing primer binding region sequence, an Index1 sequence and a P7 sequence bound with a chip probe from 5'to 3 '; and the other chain sequentially comprises a P5 sequence combined with a chip probe, a Read1 sequencing primer combination region sequence, an internal Index sequence and a T base suspension from 5'to 3 '. Internal tag sequence regions of the two chains are completely complementarily paired, and sequencing primer binding region sequences are partially complementarily paired. When the internal Index sequence joint combination which has artificially balanced base proportion and has different lengths is used, sequencing and analysis of a plurality of samples can be realized while higher sequencing quality and flux are ensured, the turnover time is greatly shortened, and the detection time efficiency is improved.

The invention discloses a chromatographic bottle for continuous flow, segmented sampling and sample storage. The chromatographic bottle comprises a bottle neck, a bottle body, a tube A, a tube B and a tube C, wherein an outlet end close to an inlet end of the tube A and an outlet end away from the inlet end of the tube A are arranged on the tube A and connected with inlet ends of the tube C and the tube B respectively; the inlet end of the tube A is connected with an inlet tube; an outlet end of the tube B is communicated with an inner cavity of the bottle body of the chromatographic bottle; and an outlet end of the tube C is connected with a flow division outlet tube. The chromatographic bottle is applicable to various chromatographic sample injection modes, such as sampling by a sample injection needle, so the problems of interval, sample storage, sampling and waste discharge of test samples which are treated by other equipment and flow out step by step can be solved; furthermore, the chromatographic bottle is convenient for analyzing the test samples in different treatment time periods of a pretreatment device or the test samples of continuous batches treated by the pretreatment device; and therefore, the accuracy of an analysis result can be improved effectively, and a basis is constructed for comprehensive and accurate analysis of the test samples.

The invention discloses a method and a device for analyzing equipment abnormality based on real-time acquisition of sensing data, and relates to the technical field of industrial equipment detection. , thereby optimizing the real-time analysis process, not only ensuring the timeliness of detection equipment for abnormalities, but also avoiding false alarms and improving detection accuracy. Stream data obtained in real time from sensors of production line equipment; use the sliding window of the stream computing engine to cache the sensing data; determine whether the sensing data cached in the sliding window satisfies the preset repetition condition; if so, then It is determined that the device is abnormal, and an alarm is triggered. The present invention is applied to detect whether there is an abnormality in the equipment by using the received sensor data in the application scenario combining edge computing and the industrial Internet of Things.

The invention discloses a flow control device and a method based on flow prediction and trusted network address learning. The device comprises a forwarding engine and a flow analysis unit, wherein the forwarding engine is used for forwarding a network packet and calculating the network flow entering and leaving each target host, and reliable network addresses are collected from the network packetsent by each target host; when attack flow is detected, the network packet of the target host with attack flow is sampled, and the sample is sent to the flow analysis unit; according to the collectedreliable network address and the attack flow filtering rule returned by the flow analysis unit, flow control is carried out to the network packet sent to the target host; according to the received network packet sample, the flow analysis unit takes each TCP / IP protocol packet head field value as an item to extract a frequent item set satisfying preset minimum support to serve as an attack flow filtering rule applied to the target host corresponding to the network packet sample.

The invention discloses a static sounding signal wireless acoustic transmitter-receiver assembly based on a seabed drilling machine. The static sounding signal wireless acoustic transmitter-receiver assembly comprises a wireless acoustic modulating signal receiver, a sound conduction rod, a power head output main shaft, a seal transmission suspension kit, an electric sliding ring kit and an electric sliding ring transmission rod. The upper portion of the sound conduction rod is connected with the seal transmission suspension kit, and the wireless acoustic modulating signal receiver is mountedin the seal transmission suspension kit. The lower end of the electric sliding ring transmission rod is connected with the wireless acoustic modulating signal receiver, the upper end of the electric sliding ring transmission rod is connected with the electric sliding ring kit, and rotating motion of the wireless acoustic modulating signal receiver can be transmitted to the electric sliding ring kit. The electric sliding ring kit and the wireless acoustic modulating signal receiver are electrically connected. The static sounding signal wireless acoustic transmitter-receiver assembly is simple in structure and convenient to operate, high-quality and reliable receiving of signals in the static sounding process can be achieved, it is ensured that original functions such as automatic connectingand discharging of a drilling machine flushing hydraulic circulating system and a drilling rod are not influenced, and static sounding parameters are monitored in real time by a sea surface mother ship.

The invention discloses an intelligent physical test device for physical education, and the device can achieve the cooperation of a base station with a wearing terminal and wireless connection, and the wearing terminal can assist a tester to carry out the most reasonable and scientific warm-up preparation before a physical test, thereby enabling the tester to quickly reach and guarantee the optimal cranial nerve excitation degree. A physical test is carried out in an optimal physical state, data such as speed, blood oxygen concentration, breath and heartbeat are detected in real time in the test and transmitted to a base station in real time for data processing and temporary storage, on one hand, the motion state and the physical state of a tester can be mastered in the whole process, thetester can be scientifically and reasonably adjusted conveniently, and the test efficiency is improved, meanwhile, physical conditions of testers can be avoided, on the other hand, test scores can beconveniently displayed in the form of graphs after data processing, time is saved, real-time analysis is facilitated, and coach personnel and the testers can be assisted in improving the teaching level in a physical test mode.

The invention discloses an analyzing method of a grid fault current shock topological graph. The method comprises the following steps that 1, wiring diagram information and real-time status information of plant stations and primary equipment in all transformer substations are obtained; 2, topology is conducted on the intra-station primary equipment from the position of a breakdown switch in one transformer substation by means of a tree graph algorithm according to the wiring diagram information and the real-time status information, and then topology is conducted from intra-station to the side transformer substations till topology of all the transformer substations is completed; 3, a tree graph formed through topology is output to be the grid fault current shock topological graph in a tree mode by the shortest path. According to the analyzing method of the grid fault current shock topological graph, a shock path of a fault current to a main grid at the fault occurring moment is vividly shown in a grid fault current shock topological graph mode, and an accurate calculation basis is provided for the quantitative research aspect of fault current cumulative shock.

The invention discloses an ultra-high-speed orthogonal polarization imaging device and method. The imaging method process is as follows: After filtering, dispersion, gain and orthogonal polarization multiplexing, the femtosecond laser is divided into two into orthogonal signal light and reference light, And the orthogonal polarization direction is along the fast and slow axis of the polarization maintaining fiber; the signal light first diffuses through the diffraction space, then enters the spatial optical imaging system, carries the sample information and then returns along the optical path; the signal light loaded with sample information and the reference light are connected to the optical The coherent receiver completes the optical coherent detection, converts the optical signal into an electrical signal, and then converts the electrical signal into a digital signal output through high-speed analog-to-digital conversion, and finally restores the image by computer demodulation. Compared with the traditional CCD imaging sensor, the present invention can obtain the polarization information of the sample at an ultra-high frame rate of 100 MHz under the condition of ensuring the micron-level imaging resolution, and the full digital acquisition based on the optical coherent receiver is beneficial to the later real-time Analysis and image optimization processing.