381results about How to "Realize the detection function" patented technology

The invention discloses a double authentication-based word document electronic seal system and method. The system of the invention comprises a digital signature module, a BMP image-based fragile watermarking module, a word format information carrying-based robust watermarking module and a key management module. A double-authentication mechanism is adopted to realize the authentication of electronic seal; when the fragile watermarking is invalid, the robust watermarking can not only complete the inspection of the document, but also generate a document source analysis report and a tamper detection report to clear the issuer information of the file and the specific tampered position and ensure the integrity, truth, reliability and nonrepudiation of the electronic document. The invention has a perfect electronic seal management system and an identity authentication strategy based on hardware, and can provide further detection function for the tampered document and store the summary information of the document by means of the fragile image watermarking and the robust watermarking. The invention also discloses a double authentication-based word document electronic seal method.

The invention discloses nondestructive on-line quality inspection equipment and method applicable to powder spreading type additive manufacturing and belongs to the field of nondestructive inspection.A forming assembly of the equipment is provided with a power spreading quality inspection module, a constituent inspection module, a defect inspection module, a deformation inspection module, a stress inspection module and a dimensional precision inspection module. All the modules can work separately and simultaneously; and the nondestructive on-line quality inspection equipment is high in use flexibility. By means of the equipment, comprehensive integrated inspection is conducted on powder spreading quality, component constituents, defects, deformation, the stress and dimensional precision in the powder spreading type additive manufacturing and forming process; powerful guarantee can be provided for the forming process of metal components of different materials, dimensions and structuresand in different shapes, and thus the excellent-quality metal components are manufactured one time efficiently; the yield can be increased to a certain extent; and economic losses are reduced. The nondestructive on-line quality inspection equipment and method can be widely applied to manufacturing of various types of powder spreading type additives of heat sources utilizing laser, electron beams,plasmas and the like.

An information sensing and storing device has a dual-MTJ (Magnetic Tunnel Junction) structure, and comprises a bottom electrode, an MTJ 1, a non-ferromagnetic metal isolation layer, an MTJ 2 and a top electrode sequentially from bottom to top, wherein a metal wire is arranged at one side of the device. A fabrication method of the information sensing and storing device comprises the five steps of: 1, depositing a magnetic multi-layer film material on a substrate; 2, performing annealing through an ultrahigh magnetic field vacuum annealing apparatus to fix the magnetization direction of a reference layer; 3, finishing shape fabrication of the dual-MTJ structure by using traditional nanometer device processing technologies such as photoetching, etching and magnetron sputtering; 4, depositing an isolation layer at the outer side of the dual-MTJ structure, and configuring the metal wire near the dual-MTJ structure through the technologies such as photoetching, etching and inlaying; and 5, forming a metal electrode at the top of the dual-MTJ structure by using the processing technologies such as photoetching, etching and inlaying for subsequent integration or test.

The invention relates to virtual instrument based system and method for detecting ultrasonic imaging by synthetic aperture focusing. The virtual instrument based system comprises a virtual instrument system, a 12-way energy converter array, an energy converter array controller and a UPS (Uninterruptible Power Supply), wherein the energy converter array controller can control a 24-way energy converter array, the virtual instrument system comprises a high-voltage pulse generator, a signal amplifier, a high-speed signal collector and a mini-size industrial personal computer which are all provided with PXI interfaces, wherein the mini-size industrial personal computer is equipped with a Labview software program. The invention adopts the integrated design, thereby having compact structure and being convenient for carrying, remote transportation and outdoor work; the invention adopts human-machine interface, thereby having high intellectualization and integration degree and simple operation procedure; the invention adopts a rough detection process and a detailed detection process, can reach an area of 60cm through primary rough detection, can detect structures with high requirements for resolution ratio through detailed detection and achieve the resolution ratio of 1cm; and the system can remotely control the signal amplifier and the energy converter array, and the detection function of the system can be fulfilled by only operating the industrial personal computer.

The invention discloses an instrument for detecting the shearing strength of the interlayer of an asphalt pavement. The instrument comprises a base, a driving motor, a pushing piece which ensures that the driving motor drives a shearing piece to shear a sample through a transmission piece, and a force gauge for real-time detection of shearing force; the transmission piece is mounted on the base; a data acquisition and control system which analyzes and processes signal detected by the force gauge and accordingly controls the driving motor according to the processing results, and a host computer connected with the data acquisition and control system are further included; the driving motor is a stepping motor; and the data acquisition and control system adopts an MSP430 singlechip, and is engaged in two way communication with the host computer through a USB interface. The invention has the advantages of reasonable mechanical structure, small size, light weight, high degree of automation and convenient use and operation, and can effectively monitor and control the shearing piece to be tested in a real-time manner and greatly improve the measuring accuracy.

The invention belongs to the technical field of information, and discloses a system for discovering the abnormal behaviours of an industrial control system based on a neural network and optimal recommendation. Flow data of the industrial control system is analyzed; dimensionality reduction of high-dimensional data in the industrial control system is carried out; irrelevant attribute deletion and redundant attribute redundancy elimination are realized; dynamic selection of intrusion features is realized while the internal relation of real input and output samples is followed; the system performs modelling for detected flow data in different scenes; and the sample flow and the flow after modelling is successful are compared, so that the difference of the detected flow data features and normal flow features is detected, so that abnormal flow is discovered. According to the system for discovering the abnormal behaviours of the industrial control system based on the neural network and optimal recommendation disclosed by the invention, scene comparison and mining analysis of flow are carried out based on the optimal recommendation theory; an optimal recommendation model of malicious flow (scene) is established; and in addition, by utilization of a cloud computing technology, malicious attack behaviour discovery and detection functions of customized industrial control equipment and systems based on a cloud platform are designed and realized.

The invention relates to an edge defect detection method and device of a target object and a storage medium. The edge defect detection method comprises the steps of obtaining a to-be-detected image of the target object and a set region of interest; performing edge detection on the region of interest to obtain an edge point set of the target object on a free curve; segmenting the free curve of the target object in the region of interest to obtain at least one curve segment, and obtaining a plurality of edge points corresponding to each curve segment in the edge point set; configuring a corresponding datum line for each curve segment, and calculating the distances from a plurality of corresponding edge points in the edge point set to the datum lines; comparing the distance with a preset distance threshold value, and determining a plurality of candidate defect points in the edge point set according to a comparison result; and determining the edge defect of the target object according to the plurality of candidate defect points. According to the technical scheme, burrs at the edge of the object can be detected in an image processing mode, and the accuracy and efficiency of edge detection are improved.

The invention relates to an intelligent blind-guide method comprising the steps of obtaining position information; planning and analyzing a route; performing real-time analysis on road conditions; judging whether traffic signal detection for an intersection is needed according to a map and positioning information; analyzing the state of traffic information signal lights and prompting a user; establishing a Gaussian mixture model and performing background analysis on obtained road condition images to obtain an image background and further obtain foreground image information; performing feature analysis on the foreground image information to judge the road information and passenger and vehicle information and prompting the user. The method can perform accurate and comprehensive detection and reasonable evaluation on complex road conditions, can provide reasonable and timely prompts for users, can provide convenience for going out of special crowds, in particular the blind and the old, fulfills the functions of accurate positioning, route navigation, road condition detection and voice prompt, and is worthy of extensive promotion.

The invention discloses a remote control and a method and a device for detecting battery voltage of the remote control. The method for detecting battery voltage of the remote control includes: subjecting stabilized voltage of a control chip of the remote control to A / D (analog / digital) sampling to obtain a sample value, and connecting a reference voltage end of an A / D sampling channel arranged in the control chip to a battery of the remote control; calculating the battery voltage of the remote control according to the sample value; and displaying a battery prompt message according to the battery voltage. The battery voltage can be detected directly through the control chip of the remote control, the battery prompt message is displayed according to detection result, and battery level of the remote control is detected without increasing detection cost, and the method is simple and low-cost.

This invention constructs a triboelectricity nanometer generator by utilizing a fact that polymeric materials and metal materials have various triboelectricity properties and prepares a detector with functions of detecting the ultrasonic sound and sound wave based on the nanometer generator. When the sound wave or the ultrasonic sound is transmitted to a flexible outer membrane of the detector, the flexible outer membrane or some parts of the flexible outer membrane produce corresponding mechanical vibration to enable the contact state between the flexible outer membrane and a conducting inner core to change correspondingly to drive the nanometer generator to output signals. The ultrasonic sound and sound wave detector can detect the ultrasonic sound or sound wave signals coming from various directions without power supply or charging in advance and utilizes the ultrasonic sound or the wave sound to produce mechanical vibration to realize self-driving. The light and thin flexible outer membrane is adopted, which simplifies the structure of the detector when the detection accuracy is improved, and the ultrasonic sound and sound wave detector has advantages of easy carrying, simple structure, easy usage and saving resources.

The invention discloses an intelligent cleaning robot. The robot comprises a casing, a water tank, a mop, a controller and a power supply, wherein an accommodating cavity used for accommodating the water tank is formed in the casing; an inner water outlet is formed in the bottom of the water tank and connected with a water valve for controlling the inner water outlet to be opened or closed, a conducting strip group is arranged on the outer wall of the water tank, and a spring needle group matched with the conducting strip group for detection is arranged in the accommodating cavity. The intelligent cleaning robot has the functions of water tank detection, water yield control and water level detection; besides, the water tank is provided with a hidden air inlet cavity, so that the water tank does not leak water after being inverted at will.

The invention discloses an automatic chemoluminescence immunity detecting system, which includes a cup transferring subsystem, a filling subsystem, a sample subsystem, a reagent subsystem, an incubating subsystem, a detecting subsystem, a washing subsystem and a central control unit. The system provided by the invention can be used for automatically completing operations including cup transferring, filling, incubation and detection in the sample detection, is completely intelligent in operation, needs no manual intervention, and stands at the leading edge of the domestic technology, has the mass sample detection function, effectively saves the manual labor cost, and has higher application value.

The invention provides a system and method for detecting overheight and overwidth of a vehicle based on laser calibration. The method includes the following steps: using the projection angles of a light band type laser emitter and a light beam type laser emitter in a system and the geometrical position relation of the light band type laser emitter and the light beam type laser emitter with the photographing direction of an image acquisition apparatus, a detection control processing apparatus identifying by imaging processing the horizontal displacement conditions and the length condition of a laser line segment from video and image data constituted by a plane laser band projecting to a vehicle which passes by a horizontal road lane, Then using a pre-calibrated vehicle height and width measuring function model to measure the value of the maximum height and the value of the maximum width of the vehicle, thus realizing the detection of the overheight and overwidth of the vehicle. The system has simple structure, strong practicality, and high measuring precision. The system can reach a detection rate at milliiseonds. The system can long time operate and implement automatic online continuous detection and overheight / overwidth alert to multiple vehicles with no pulling over is required, so that the system can avoid traffic congestion and has excellent marketing potential.

The invention provides an ultra-high temperature electromagnetic ultrasonic sensor and an acquisition method thereof. The ultra-high temperature electromagnetic ultrasonic sensor includes: a housing; a sensor assembly arranged inside the housing; a heat insulation structure arranged inside the housing and between the housing and the sensor assembly; where the ultra-high temperature electromagnetic ultrasonic sensor refers to An electromagnetic ultrasonic sensor capable of detecting equipment to be inspected with a temperature less than or equal to 750°C. Due to the heat insulation structure between the sensor assembly and the housing, when the ultra-high temperature electromagnetic ultrasonic sensor is used to detect high-temperature equipment, the heat insulation structure can delay the heat conduction of the high-temperature equipment to the inside of the housing for a certain period of time, thereby protecting Sensor components such as magnets and coils located inside the casing are protected from high temperature damage, so the function of detecting equipment to be inspected with high temperature can be realized.

The invention discloses a method and a device for cleaning air channels, and an air conditioner. The method includes acquiring attachment degrees of oil stain; determining pollution grades of the airchannels according to the attachment degrees; cleaning the air channels by the aid of the device under the control according to the pollution grades. The oil stain is attached into the air channels. The method, the device and the air conditioner have the advantage that the technical problem of influence on the air outlet quality of existing air conditioners due to the fact that existing air channels are easy to get dirty and are difficult to detach and clean can be solved by the aid of the method, the device and the air conditioner.

The invention provides a wearable device and a photoelectric pulse sensing assembly, and relates to the technical field of electronic devices. The divergence angle of light emitted by a luminous component in the wearable device can be decreased, the utilization rate of the light is increased, thus the detection accuracy of the heart rate, blood oxygen saturation degree and other parameters can beincreased, and power dissipation is reduced; the wearable device includes a substrate, one or more luminous components, light, and one or more lenses, wherein the luminous components are mounted on one side of the substrate, light is configured to emit one or more optical bands, the lenses are arranged on the light emitting sides of the one or more luminous components, each lens corresponds to oneor more luminescent components, and each lens can decrease the divergence angle of the light emitted by the one or more emitting components corresponding to the lens. The photoelectric pulse sensingassembly can be mounted in a wearable object, so that when the wearable object is worn on a target organism, the heart rate, blood oxygen saturation degree and other parameters of the target organismcan be detected.

The invention discloses a detection instrument for bonding strength of a waterproof layer of a bridge. The detection instrument comprises a driving motor, a transmission shaft driven by the driving motor, transmission gears and a roller wheel which are sleeved on the transmission shaft, racks engaged with the transmission gears, a moving box body driven to move forward by the racks, a tension sensor used for performing real-time detection on a tearing force acting on a detected waterproof layer, a data acquisition and control system used for analyzing and processing a signal detected by the tension sensor and controlling the driving motor, and a host computer, wherein the roller wheel is provided with a tearing tape; the tearing tape is connected with the detected waterproof layer through a tearing clip; the roller wheel and the transmission gears are coaxial and have the same pitch diameter; and the data acquisition and control system is an MSP430 singlechip and performs two-way communication with the host computer through a USB interface. The detection instrument has reasonable mechanical structure, small volume, light weight, high automation degree, and simple and convenient use and operation, can effectively perform the real-time detection and control on the detected waterproof layer, and greatly improve test accuracy.

The invention belongs to the field of medical image processing. The invention discloses an intracranial aneurysm detection method and system based on a convolutional neural network. The detection method is based on a three-dimensional time leap magnetic resonance angiography image (3D Time-of-Flight MR Angiography, 3D TOF MRA), and is characterized in that first of all, blood vessels are extracted, a series of cubic voxel blocks are extracted as ROIs (Region of Interest) along the central line of the blood vessel; maximum density projection is performed on each ROI (Region of Interest) in a plurality of directions to obtain a MIP (Maximal Intensity Projection) by taking the MIP as the ROI; the MIP graph is used as input, the trained convolutional neural network is used for classifying theMIP graph, an obtained classification result reflects whether the ROI contains the aneurysm or not, and then whether the intracranial aneurysm exists in the to-be-detected object or not is judged. According to the method and the system, the whole process of the method is processed, and the setting mode of each functional module component in the corresponding system device is improved, so that thedetection method and the detection system have relatively high classification accuracy and sensitivity.

The invention provides a liquid drop control and detection device and a liquid drop control and detection method. The liquid drop control and detection device comprises a first substrate; a pluralityof pixel regions are distributed on the first substrate in an arrayed manner; each pixel region is inside provided with a first electrode and a first thin film transistor; the liquid drop control anddetection device also comprises a second electrode opposite the first electrodes. When electric signals are applied to the second electrode and the first electrodes, liquid drops can be driven to move; the liquid drop control and detection device also comprises a photo-electric conversion structure capable of converting light signals in each pixel region to electric signals and a processing circuit connected to the photo-electric conversion structure, wherein the processing circuit is used for obtaining liquid drop information according to electric signals of each pixel region acquired by thephoto-electric conversion structure and controlling electric signals applied to the second electrode and the first electrode of each pixel region according to the liquid drop information, the liquid drop information at least including position information of liquid drops. The liquid drop control and detection device and the liquid drop control and detection method can detect the position of liquiddrops; the structure is simplified and the detection and control precision is improved.

The invention discloses a multifunctional robot with a slippage sensor for helping aged people to walk. The multifunctional robot comprises a robot grab bar (1), a robot chair (2) and a robot controller (3) for controlling the robot to walk, characterized in that the slippage sensor in contact with a user is arranged on the robot grab bar (1); the slippage sensor is connected with the robot controller (3) through a signal conditioning circuit; the robot controller (3) judges the behavior or state of the user according to the sensor signals collected by the slippage sensor, and drives the robot to perform helping behavior; and an operating bar is arranged on the robot chair (2) and connected with the robot controller (3) for receiving operating instructions formed by the user operating the operating bar. The robot can catch the slippage in real time to sense the motion behavior of the aged people, and the motion intention and tumble trend of the aged people can be detected in real time by the slippage sensor for sensation, thereby realizing multiple helping functions.

The invention discloses a thermal process data detection method based on equivalent change rate calculation. The method includes the following steps: selecting historical data under normal working conditions through a real-time / historical database; then, building process data abnormal value detection models for corresponding working condition regions respectively; calculating values of characteristic statistics as per the time series sample during on-line detection; confirming the data to be normal working condition data if the values do not exceed the threshold value, and storing the data in the real-time / historical database, and using the updated data for follow-up modeling to update the model; calculating out the equivalent change rate of the values of characteristic statistics to detect out the abnormal value in the values of characteristic statistics if the values exceed the threshold value, and completing the abnormal value detection process through the exclusion manner or other treatment manners. According to the invention, the effect cannot be affected by factors of system change, equipment aging, maintenance and the like as the model updating is adopted, and the calculation of equivalent change rate for values of characteristic statistics is simple and concise, and the entire real-time data detection and processing can be well completed based on the calculation.

The invention discloses a pulse Doppler radar detection and communication integrated waveform design method. The method has covert communication and good precision. According to the technical scheme, information modulation and time synchronization are achieved through intentional modulation of a pulse Doppler radar repetition period and change of repetition frequency between pulse groups; a communication receiver intercepts an OFDM frequency spectrum embedded in broadband noise, data demodulation is achieved by extracting parameters, the receiver transmits a waveform in a data response pulse segment, a transmitted signal falls in a processing time window of a detection radar, pulse of a frame synchronization pulse segment is subjected to pulse group M2 repetition period estimation and initial position synchronization, and the data response pulse segment is subjected to pulse group M2 repetition period estimation and initial position synchronization to realize reverse asynchronous data transmission between the detection radar and the receiving terminal, and the data and a corresponding processing time window are predicted. In the signal receiving process of the receiving terminal, information is extracted through signal processing equipment, and fusion based on radar communication integration is carried out from the aspects of hardware and waveforms.

The invention relates to a spectrum detection system for diesel SCR ammonia pollution. The spectrum detection system comprises a photoelectric device unit and a gas path unit, wherein the photoelectric device unit comprises a laser, a splitter, a collimator, a laser driver, a signal generator, a photoelectric detector, a preamplifier, a lock-in amplifier, a data acquisition card and a host computer; the gas path unit comprises a gas pool, a standard gas module, an SCR purification system and a filtration system. The spectrum detection system realizes functions of real-time concentration monitoring, concentration data storage and display and the like of ammonia by using the TDLAS technology as the theoretical basis and combining with the reflecting pool and harmonic detection technology; the spectrum detection system is simple to operate, provides a solid technical basis for the field of detection and application of diesel ammonia pollution, realizes a detection and evaluation system for diesel ammonia emission, greatly improves the system detection accuracy and response speed, and provides new means for the research of emission reduction of a diesel and environmental monitoring.

The invention relates to a liquid near-infrared transmitted spectrum component online detection apparatus. According to the apparatus, near-infrared light emitted by a near-infrared light source can sequentially penetrates through a first condensation member, a first window sheet, a liquid to be detected, a second window sheet and a second condensation member, the transmitted light penetrating through the second condensation member is conveyed into a detector module, and the detector module analyzes to generate the component information so as to ensure the achievement of the product detection function; and on the basis, a pressure-bearing circulating pool module is set based on the pressure container standard so as to provide the pressure bearing capacity. According to the present invention, the limitations that the detection process of the existing detection apparatus can be only performed in the laboratory and the separate detection pipeline system is required to be arranged when the components of the high pressure liquid to be detected is analyzed are overcome, such that the product use is universal and convenient.

The invention relates to a neural network optimization method and device, and a target detection method and apparatus. The neural network optimization method comprises the steps of obtaining positioninformation of a plurality of candidate boxes of a target object of a target type in a first image; according to the first image, the position information of the plurality of candidate boxes and a neural network, obtaining image features of image regions corresponding to the plurality of candidate boxes in the first image, and a prediction result of the target object in the candidate boxes relatedto the target type; screening out at least two target candidate boxes satisfying a similarity condition from the plurality of candidate boxes based on the image features and the prediction results respectively corresponding to the plurality of candidate boxes; and optimizing the neural network based on the prediction results respectively corresponding to the at least two screened target candidateboxes. According to the embodiment of the invention, the target detection performance of the neural network can be improved.

The invention discloses an infrared photoelectric detector and a preparation method thereof. The detector comprises a substrate. An optical micro-cavity lower reflecting mirror, a lower optical path difference compensation layer, an upper optical path difference compensation layer and an optical micro-cavity upper reflecting mirror which are arranged on the substrate in turn. A semiconductor carbon nano-material photoelectric device used as a light absorption material and a conductive channel is arranged in an optical micro-cavity. The position of the optical micro-cavity with the maximum cavity state density is overlapped with a working area of the semiconductor carbon nano-material photoelectric device. As for infrared light with the same wavelength, an optical path through the lower optical path difference compensation layer is the same with the optical path through the upper optical path difference compensation layer, or difference of the two optical paths is integral times of half wavelength. Capability of detecting weak infrared light is enhanced, and the micro-cavity is simple and rapid in processing technology. The detector can be applied to interconnection of carbon tube circuit photoelectric devices or interconnection of carbon tubes and silicon integrated circuit sheets so that detection and response of communication wave band infrared light are executed.

The invention relates to a single chip microcomputer controlled power grid detection and reset circuit, which is characterized by comprising a micro-control circuit, a main control circuit and an audion circuit, wherein a PA1 detection port of the micro-control circuit is connected with a 12V power supply through the main control circuit to form a power grid power on / power failure detection structure, a PA4 of the micro-control circuit is used as an output port and is externally connected with an external interruption port of a main control chip of a main control chip circuit through electrical resistance, the micro-control circuit controls an audion to switch on / off, and an output end of the audion circuit forms the reset circuit for the main control circuit; a single chip microcomputer chip PA4 port of the micro-control circuit respectively starts and stops outputting a 200HZ square wave signal according to the power on and power failure of the PA1 port, so that the main control circuit can enter a normal or power-save working mode. The single chip microcomputer controlled power grid detection and reset circuit has the beneficial effects that the circuit is simple in structure, the used components are less, and the economic benefit is increased.

The invention provides a message transmission method, device and equipment, and a machine readable storage medium. The method comprises the steps of receiving a to-be-forwarded message; updating an identity label field in the to-be-forwarded message, wherein the identity label field comprises information uniquely identifying local equipment; and forwarding the to-be-forwarded message, so that theopposite-end PE equipment identifies the sending-end PE equipment of the message according to the identity label field. According to the technical scheme of the invention, the unique exclusive equipment label is added to the forwarded message, so that the PE equipment at the opposite end can recognize the source of the received message, and a BFD detection function can be realized.

The invention belongs to the field of related equipment for manufacturing surface mount devices, and discloses tray-oriented SMD sampling and counting equipment. The tray-oriented SMD sampling and counting equipment comprises a material counting module, a pickup detection module, a material holding module, a matched control module and the like, wherein the material counting module is used for achieving conveying and slitting of a material strip and counting of to-be-detected elements; the pickup detection module is used for achieving visual positioning of to-be-detected elements, picking up the to-be-detected elements by a multi-degree-of-freedom manipulator and synchronously achieving the detection function; the material holding module is used for placing the elements before and after detection, and ensuring the accuracy of the positions and the postures of the elements; and the control module is used for achieving automatic control on the complete equipment. Through the tray-oriented SMD sampling and counting equipment, sampling of the elements on an SMD tray can be quickly finished; the sampled elements are recycled; in addition, counting of the elements on the tray can also be quickly and accurately finished; and slitting is selectively carried out under needed working conditions.