689results about "Linear/angular speed measurement" patented technology

The invention discloses a pump set vibration monitoring method and system based on distributed sensing. The method comprises the steps that vibration collection signals and real-time working condition parameters of distributed sensing nodes are obtained, multi-node clock synchronization correction is executed, and synchronous vibration data frames are formed; time-frequency feature extraction is carried out on the multi-channel vibration data set, abnormal channels are identified through inter-channel consistency analysis, a local fault correlation frequency band is extracted, and a vibration feature vector is constructed; associating the vibration feature vector with a real-time working condition parameter to form a working condition-feature mapping table, identifying a feature mutation rotating speed point for the feature baseline, adaptively dividing a rotating speed interval to generate an adaptive working condition threshold value, and implementing out-of-limit detection to generate an abnormal trigger identifier; determining a traceability analysis window based on the abnormal trigger identifier, and executing multi-measuring-point coherence calculation and energy attenuation gradient analysis to construct an energy transfer link diagram; and finally, vibration source position positioning is performed to form fault source probability distribution, a fault mode label is matched, pump set vibration monitoring is completed, and quantitative positioning of a fault source is realized.

Provided is an electric power generating element and the like that are easy to appropriately apply a magnetic field to a magnetic body and easy to be manufactured. Electric power generating element (32) includes magnetic body (40) that exhibits a large Barkhausen effect, coil (42) wound around magnetic body (40), first soft magnetic body (44) positioned outside coil (42) in a winding axis line direction in which winding axis line (B) of coil (42) extends and positioned outside magnetic body (40) in a radial direction around winding axis line (B), and filling member (48) that includes a second soft magnetic body and fills a gap between magnetic body (40) and first soft magnetic body (44).

The invention relates to a railway track abrasion detection method and system, and aims to realize accurate and efficient detection of turnout sharp point rail abrasion. A detection device carrying a 3D camera, a speed sensor, a signal processing module and a data processing terminal is arranged in a turnout area to be detected, parameter configuration is completed, in the constant-speed moving process, the speed sensor generates a trigger signal according to the specified distance, the 3D camera is driven to synchronously collect point cloud data of the two-dimensional contour of the cross section of the sharp point rail, and a three-dimensional data stream is formed; after data are denoised, section registration splicing and three-dimensional model reconstruction are completed in combination with distance stamps, an actual measurement model and a standard contour model are superposed and compared, abrasion parameters are calculated, and the maximum abrasion point and position are recognized; and finally presenting the abrasion data in the forms of a color cloud picture, a table and the like, and automatically generating a standard detection report containing the contents of line information, defect types and the like. According to the method, automation and visualization of abrasion detection are achieved, the detection precision is high, the efficiency is high, and reliable data support is provided for track maintenance.

The invention discloses a motor vehicle exhaust monitoring and early warning method based on the Internet of Things, and particularly relates to the field of motor vehicle exhaust monitoring, and the method comprises the steps of reference matrix construction and storage, real-time data acquisition, vehicle working condition exhaust concentration weighted comprehensive deviation degree calculation, secondary check, standard exceeding judgment, graded early warning and reference matrix iterative optimization. According to the invention, a three-dimensional tensor exclusive reference matrix is constructed for each registered motor vehicle through the cloud system, the roadside sensing module is combined to collect the multi-component concentration, speed and acceleration data of the tail gas, and the weighted comprehensive deviation degree is quantitatively calculated through matrix operation, so that high-precision tail gas standard exceeding judgment is realized; according to the method, the reference matrix is dynamically optimized through the recursive least square method, monitoring failure caused by misinformation, missed information and reference disjunction is avoided, the environmental protection supervision efficiency is improved, unnecessary supervision resource waste is reduced, and long-term accurate operation of a monitoring system is guaranteed.

A system may include a static air temperature probe attached to an aircraft, an electronic flight instrument system, and a processor. The processor may be configured to measure a static air temperature at the aircraft using the static air temperature probe. The processor may further be configured to calculate a Mach number associated with the aircraft based at least partially on the static air temperature. The processor may also be configured to calculate a true air speed of the aircraft based on the Mach number. The processor may display an indication of the true air speed using the electronic flight instrument system. The processor may also be configured to calculate the speed of sound based at least partially on the static air temperature.

The invention relates to the technical field of data processing, in particular to a linear motor positioning precision dynamic test and analysis method, which comprises the following steps of: controlling a linear motor to perform full-stroke reciprocating constant-speed scanning, synchronous high-frequency acquisition of positions, current instructions and speed data; resampling according to a fixed position interval space to generate forward and reverse current and speed sequences; utilizing the characteristic that the friction force directions are opposite to counteract the friction component, calculating the resistance characteristic value of each position by combining the two-way speed stability weight, and constructing a resistance topographic map; the magnetic cogging effect and the mechanical anomaly are decoupled through the space gradient and the statistical deviation, and the mechanical anomaly saliency is determined; and a current feed-forward compensation table is generated and written into a driver, and a fault is marked for a saliency threshold exceeding position, so that dynamic testing and analysis of positioning precision are realized. According to the method, the resistance component is accurately separated by combining the current algebraic operation and the bidirectional speed weight, the topographic map is constructed to decouple the tooth socket and the installation abnormity, and the dynamic test precision and the diagnosis practicability are improved.

The invention discloses a configurable low-power-consumption six-axis inertial sensor sampling method suitable for livestock and poultry, and belongs to the technical field of animal behavior recognition and intelligent breeding. According to the method, by setting an intermittent sampling strategy and combining low-frequency period awakening and a short-time high-frequency data sampling window, behavior recognition data collection of the six-axis inertial sensor under the low-power-consumption condition is achieved. Meanwhile, a sampling template mechanism based on a behavior target is introduced, various sampling parameters can be configured according to the growth stage of the animal, the monitoring requirement and the variety difference, and multi-scene switching application such as oestrus recognition, parturient monitoring and night energy-saving guarding is supported. In addition, the system has an edge recognition capability, and can automatically trigger temporary recollection when detecting that the attitude angle is abnormal, so that the integrity of key behavior data is guaranteed. The method has the advantages of low power consumption, accurate recognition, flexible configuration, high adaptability and the like, and is widely applied to behavior monitoring scenes of bred animals such as dairy cows, pigs, sheep, chickens, ducks, geese and the like.

The invention relates to the field of guide bearing bush control, in particular to a signal processing system and method for guide bearing bush clearance automatic adjustment, and the system comprises a clearance metering module, a model boundary module, a fault learning module, a clearance adjustment module and an oil film lubrication module, the model boundary module is used for establishing a dynamic pressure lubrication model of the guide bearing bush and solving the gap of the guide bearing bush, the fault learning module is used for determining the gap adjustment amount, the gap adjustment module is used for adjusting gap distribution, and the oil film lubrication module is used for adjusting lubricating oil injection. And fault identification and automatic fault-tolerant adjustment are carried out, so that mechanical vibration of the bearing is reduced, operation stability of equipment is guaranteed, abnormal bearing bush gaps are avoided, mechanical efficiency of the bearing is improved, invalid power loss is reduced, service life of the equipment is prolonged, thickness and pressure distribution of a lubricating oil film are improved, and performance of bearing turbine equipment is improved.

The invention relates to the technical field of NVH performance testing, and discloses a method and system for testing NVH performance of a gear of a new energy automobile, and the method comprises the steps: synchronously collecting a rotating speed signal, a vibration signal and a sound pressure signal based on a rotating speed scanning working condition, determining a gear meshing frequency based on the rotating speed signal, the vibration signals and the sound pressure signals are subjected to order transformation processing, the rigidity adjustment range and the damping simulation constraint are determined based on the installation position and the suspension connection relation of the gear electric drive assembly rack in the whole vehicle, rotating speed scanning is repeatedly carried out under the combined working conditions of different rigidities and damping, and the rigidity adjustment range and the damping simulation constraint are determined. And sorting the multiple groups of vehicle boundary conditions based on the engagement order variation, taking the vehicle boundary condition with the maximum engagement order variation as a target boundary condition, and determining a gear NVH test result of the vehicle running state based on the gear squeal interval. According to the invention, by determining the rigidity adjustment range and the damping simulation constraint, the test reliability is ensured.

The invention discloses an intelligent detection system and method for the loading state of a railway wagon. The system comprises a frame, a 3D acquisition module, a vehicle number identification module, a speed measurement module, a control center and a data processing module. The frame is erected across two sides of the track; the 3D acquisition module comprises a laser scanning turntable; the laser scanning turntable is arranged on the frame and comprises a base disc, a laser scanning unit and a rotating shaft; the plurality of laser scanning units are mounted on the base disc, are uniformly distributed on the circumference taking the rotating shaft as the center, and are used for acquiring contour information of the surface of the railway wagon body; and the data processing module reconstructs vehicle body surface three-dimensional information according to the contour information, and identifies and obtains the loading state of the railway freight car. The base disc drives the laser scanning unit to rotate around the axis of the rotating shaft, the rotating direction is the same as the advancing direction of the railway wagon, and meanwhile the posture is adjusted in real time, so that the problems of motion blurring, data dislocation, three-dimensional point cloud data oscillation and the like existing when 3D image information of the railway wagon passing at a high speed is scanned and collected are solved.

The invention discloses a motor locked-rotor detection method and device, and an electronic speed regulator, and relates to the technical field of motor fault identification, the disclosed motor locked-rotor detection method and device, and the electronic speed regulator determine a locked-rotor state by integrating multi-dimensional parameters of motor input power, rotating speed and efficiency, and combine a dynamic threshold adjustment and temperature compensation mechanism, so that the motor fault identification efficiency is improved. The problems that traditional single parameter detection is high in false alarm rate and poor in adaptability are effectively solved, the detection precision can be effectively improved, the thermal damage risk can be reduced, and the service life of equipment can be prolonged.

A multiturn angle detection device generates the multiturn absolute angle detection value of a rotating body. The multiturn angle detection device includes: a segment counter; a precision absolute angle detector; and an arithmetic device to generate the multiturn absolute angle detection value by combining the outputs of the segment counter and the precision absolute angle detector with each other. The segment counter includes: a single power generation sensor; a magnetic field generation source; a sensor element; and a nonvolatile memory to store a count value. The magnetic field generation source applies a k-cycle alternating magnetic field (wherein k is an integer not smaller than 3) per each turn of the rotating body axially of a magnetic wire. The arithmetic device uses the count value stored in the nonvolatile memory as it is, and combines the count value with the absolute angle detection value of the precision absolute angle detector.

The invention provides a rotating speed extraction method, system and equipment based on time-frequency analysis and a medium. The method comprises the following steps: acquiring a signal x (t) to be analyzed; performing spectral analysis transformation on the to-be-analyzed signal x (t) to obtain a spectral analysis result; acquiring a three-dimensional time-frequency distribution diagram A (t) (f) of the to-be-analyzed signal x (t) according to the spectral analysis result; searching a peak frequency in the three-dimensional time-frequency distribution diagram A (t) (f) according to a preset extraction rotating speed frequency Nfn and a preset search range so as to obtain the rotating speed fn (t); according to the method, the rotating speed of the equipment can be accurately extracted according to the monitoring data under the condition of not depending on an external rotating speed sensor; the system has the same beneficial effects.

The utility model relates to the technical field of rotating speed detectors, in particular to a rotating speed measuring device based on a Hall sensor. According to the technical scheme, the device comprises a shell, the center of the shell is rotationally connected with a transmission shaft, the outer wall of the transmission shaft is fixedly connected with a signal panel, the signal panel is arranged on the inner wall of the shell, one side of the shell is fixedly connected with a fixed seat, and a detection head is inserted into the inner wall of the fixed seat. When a ratchet wheel is rotated, two groups of sliding rods and arc-shaped plates are driven to slide towards the center at the same time until the inner walls of the two groups of arc-shaped plates are clamped on the outer wall of a detection head, and two groups of limiting rings are matched to further fix the position of the detection head, so that the detection head is stably mounted, and the swinging of the detection head caused by vibration is effectively counteracted; therefore, the installation stability of the detection head is improved, and the problem that the measurer is easy to be affected by vibration and deviates is solved.

The invention provides a bearing load real-time monitoring and hydraulic pressure self-adaptive adjusting system and method, and the system comprises a signal sensing unit which is used for collecting a bearing vibration signal, a hydraulic system pressure signal and a main shaft rotating speed signal; and the signal processing and calculating unit is connected with the signal sensing unit and is used for processing the collected signals, estimating the bearing load based on a pre-trained soft measurement model and generating a hydraulic control instruction. The dependence of traditional bearing load monitoring on an expensive force sensor is broken through, and by integrating operation signals such as vibration, hydraulic pressure and rotating speed which are easy to obtain, the bearing load monitoring precision is improved. According to the method, the incidence relation between signals and loads is established through off-line modeling, non-intrusive load real-time estimation is achieved, meanwhile, feed-forward and feedback composite control is adopted, hydraulic pressure is adjusted in a self-adaptive mode according to the estimated loads, traditional empirical fixed setting is replaced, monitoring, adjusting, early warning and maintenance prompting functions are integrated, and real-time monitoring is achieved. The technical problems that a traditional scheme is high in cost, blind in adjustment and dispersed in function are effectively solved.

The invention discloses a bridge swivel construction process monitoring method, and belongs to the field of bridge swivel construction. The method comprises the following steps: arranging a corner end measuring point and a target mechanism at each of four corners of the surface of a main beam of a bridge swivel; a center measuring point is arranged at the center of the surface of the main beam, a lifting mechanism is arranged at the center measuring point, a target lamp is arranged on the lifting mechanism, and the target lamp can emit infrared rays to the target mechanism; establishing a first three-dimensional coordinate system; monocular cameras are installed on the surfaces of approach bridges on the two sides of the main beam respectively, so that the monocular cameras can obtain infrared rays reflected by the target mechanisms at preset time intervals to obtain real-time images of the four target mechanisms; in the process that the main beam rotates in place from the initial position, the real-time three-dimensional coordinates of the four corner end measuring points in the first three-dimensional coordinate system are obtained through the real-time images, and therefore the real-time rotating posture of the main beam is obtained. According to the invention, monitoring continuity, comprehensiveness, real-time performance, convenience and rapidness can be considered at the same time, the construction efficiency is high, and the practicability is wide.

A vehicle includes a plurality of sensors and one or more controllers collectively programmed to execute the following instructions: estimate odometry of the vehicle based on sensor data from the plurality of sensors, to produce a plurality of odometry estimates; monitor integrity of one or more of the sensors; correct sensor data from one or more of the plurality of sensors to provide corrected sensor data; compensate the corrected sensor data to provide compensated data; and use the compensated data to provide at least one of vehicle odometry, vehicle states, and time stamp information.

A sensor arrangement for acquiring a rotational movement of a body that can rotate about a rotational axis has at least three angle sensors and at least one evaluation and control unit. The at least three angle sensors each acquire the mechanical rotational movement of the rotatable body with a predefined transmission ratio and generate a corresponding electrical angle signal and output said angle signal to the at least one evaluation and control unit. The at least three angle sensors have different transmission ratios. The at least one evaluation and control unit are designed to determine a first angle of the rotatable body with a first uniqueness range by way of a first nonius calculation that is based on two electrical angle signals of the at least three electrical angle signals. The first uniqueness range of the determined first angle is greater than uniqueness ranges of the angle signals used for the calculation. The at least one evaluation and control unit is further designed to determine a second angle of the rotatable body with a second uniqueness range by way of a second nonius calculation that is based on the determined first angle and a further electrical angle signal of the at least three electrical angle signals. The second uniqueness range of the determined second angle is greater than the first uniqueness range of the determined first angle and a uniqueness range of the further electrical angle signal. Also disclosed is a method for acquiring a rotational movement of a body that can rotate about a rotational axis which can be carried out using such a sensor arrangement.

The invention discloses an improved M method for improving the speed measurement precision of a servo motor, and the method comprises the steps: storing the information of each collected position through the application of an array, calculating the maximum length of the array according to the maximum speed and the resolution of a position encoder, and finally calculating the speed measurement precision of the servo motor under the condition that the speed calculation frequency is not changed by using the latest updated position value and the next to-be-updated position value of the array. Meanwhile, compared with a traditional M method, the method provided by the invention has the advantages that the modification is small, and the implementation of various main control chips is facilitated.

A multiturn angle detection device includes: a segment counter to count segments in an angular range over the single turn of a rotation shaft; a precision absolute angle detector to generate an absolute angle detection value within the single-turn cycle; and an arithmetic device to generate a multiturn absolute angle detection value by combining the output of the segment counter with the output of the precision absolute angle detector. The segment counter includes: a single power generation sensor; a magnetic field generation source; a sensor element; and a nonvolatile memory to store a count value. The magnetic field generation source applies a two or more-cycle alternating magnetic field per each turn of the rotation shaft axially of a magnetic wire. The arithmetic device uses the count value stored in the nonvolatile memory as it is when receiving external electric power supply.

The invention relates to the technical field of UV adhesive detection and analysis, and discloses a UV adhesive detection data performance analysis method and system based on machine learning. The method comprises the following steps: acquiring optical response time sequence data of a curing process from a multi-dimensional optical sensing array of a UV adhesive production device, and synchronously acquiring real-time working condition parameters of the device; in a multi-layer feature fusion mode, performing noise compensation processing on the optical response time sequence data to obtain a spectral attribute index of a curing reaction, and determining a quality fluctuation period of quality tracking in the continuous curing stage of the UV adhesive according to the spectral attribute index; production line process path information is obtained, defect characteristics are analyzed, interlayer interface defect data in the curing process are obtained, and the defect coupling level is determined in combination with optical response time sequence data; according to the quality fluctuation period and the defect coupling level, early warning is conducted on a dynamic performance attenuation area in the UV glue production process. According to the method, comprehensive monitoring and accurate analysis of the curing process can be realized, and a technical scheme is provided for production quality control.

According to one embodiment, a condition monitoring apparatus includes a processing circuitry. The processing circuitry is configured to collect a sensor signal output from a sensor that monitors a condition of a mechanical device that is at least partially mobile. The processing circuitry is configured to diagnose a presence or absence of an anomaly in the mechanical device based on the sensor signal. The processing circuitry is configured to cut out the sensor signal in a time width according to any one or more of a speed, an acceleration, and a jerk of the mechanical device. The processing circuitry is configured to determine the presence or absence of an anomaly based on the cut out sensor signal.

The utility model discloses a motor speed measuring device, which comprises a fixed seat, a friction mechanism and a speed measuring mechanism, the friction mechanism is movably connected to the fixing base and used for abutting against a rotating shaft of a motor. The speed measuring mechanism is installed on the fixing base and used for detecting the rotating speed of the friction mechanism. The motor speed measuring device is simple to operate, can flexibly adapt to different motor rotating shafts, and does not need to adjust and replace parts complexly, thereby remarkably improving the adaptability to various motors. Meanwhile, the speed measurement performance is optimized through the specialized design that the friction mechanism and the speed measurement mechanism are separated, high-precision rotation speed measurement can be achieved, the stability of the motor speed measurement device is guaranteed through the fixing base, external interference is reduced, the measurement precision is further improved, and the high-precision motor speed measurement requirement is met.

The application discloses a kind of traction passenger elevator detection speed measuring device and its using method, it is related to elevator detection field.A kind of traction passenger elevator detection speed measuring device, including bottom plate, further include: support guide column is fixedly connected on the bottom plate, support guide column is slidably connected with support plate on;Connecting plate is located on the bottom plate upper side, second spring is connected between the connecting plate and support plate;When the traction passenger elevator is measured and detected, by increasing pressure in the sleeve, the connecting plate is pushed to move upwards, the second spring is compressed to generate thrust, and then the support plate is pushed to drive the wheel part of speed measuring wheel and counter pulley to be closely attached, so as to improve the stability of the traction passenger elevator lifting speed measuring device for measuring the speed of the traction passenger elevator, and the wheel part of speed measuring wheel is in contact with the wheel part of counter pulley for a long time Friction can cause serious wear, facilitate the quick disassembly, replacement and installation of speed measuring wheel.

The utility model discloses a high-stability wheel speed sensor sensing head, and relates to the field of wheel speed sensors, the high-stability wheel speed sensor sensing head comprises a framework and a sensing assembly installed on the framework, an insertion groove is formed in the outer wall of one side of the framework, an installation groove is formed in the outer wall of the top of the framework, and installation openings are formed in the inner walls of the two sides of the installation groove; and mounting assemblies are mounted on the inner walls of the two mounting openings. According to the invention, through the cooperation of the mounting groove and the insertion groove in the skeleton, the induction assembly can be conveniently mounted, meanwhile, the induction assembly can be conveniently protected through the arrangement of the skeleton, the induction assembly is prevented from being damaged due to exposure, and the safety performance of the induction assembly is improved while the stability of the induction assembly is improved.

The application provides a range extender operation safety monitoring method and device and terminal equipment, which are suitable for the technical field of new energy vehicles. The method comprises the following steps: obtaining operation parameters, operation parameter duration and operation mode information of a range extender; calculating an operation parameter threshold value according to the operation parameters based on the operation mode information; and obtaining safety monitoring information of the range extender according to the operation mode information, operation parameters, operation parameter duration, operation parameter threshold value, preset target parameters and preset duration threshold value. The application performs real-time monitoring on the operation parameters and operation parameter duration of the range extender, and makes a fault prediction on the range extender in different operation states according to the change of the operation parameters and the operation parameter duration. Therefore, measures can be taken in advance for possible faults of the range extender before the faults occur, so that the safety and reliability of the range extender during operation are improved.

The utility model discloses a detection circuit and autonomous operation equipment. The detection circuit comprises at least one detection module and a control module, the detection module is arranged in a load to be detected, and the detection module is connected with the control module; the detection module comprises a temperature detection unit, the temperature detection unit is connected between a power supply and the control module and is used for generating a first signal, and the control module is used for determining temperature information of the load to be detected according to the first signal; and the rotating speed detection unit is connected between a power supply and the temperature detection unit and is used for generating a second signal according to the standby state and the working state of the load to be detected, and the control module is used for determining the rotating speed information of the load to be detected according to the frequency of the second signal. According to the technical scheme provided by the embodiment of the utility model, the detection circuit is simplified.

The application provides an engine speed signal processing method, a processing device and a storage medium. The method comprises the following steps: determining whether an electronic control unit is powered on; obtaining a speed signal of an engine to obtain an initial speed signal in the case that the electronic control unit is powered on; performing first filtering processing on the initial speed signal according to a first signal threshold to obtain a first target speed signal, and sending the first target speed signal to the electronic control unit; determining whether the electronic control unit receives the first target speed signal; determining a second signal threshold according to at least a peak value of the initial speed signal in the case that the electronic control unit receives the first target speed signal; and performing second filtering processing on the initial speed signal according to the second signal threshold to obtain a second target speed signal. The method solves the problem of inaccurate engine speed signal identification in the prior art.

Automated methods may comprise automatically converting a ballistic trajectory of a projectile into a ballistic flight path. The ballistic flight path may comprise one or more segments. Each of the segments may comprise a plurality of coordinates. The coordinates may be located along the ballistic trajectory. The automated method may comprise automatically navigating an Unmanned Aerial Vehicle (UAV) along the ballistic flight path. The automated method may comprise automatically collecting environmental data along the ballistic flight path through employment of the UAV.

The invention discloses a high-speed motor full-speed-domain high-precision speed measurement method based on a gear encoder, and belongs to the technical field of high-speed motor control. The method comprises the steps that a gear encoder is coaxially installed at the shaft end of a motor, integer position pulses are obtained through an enhanced orthogonal encoding pulse module, decimal position pulses are obtained through an enhanced capturing module, and rotor mechanical position pulses are calculated by combining the integer position pulses and the decimal position pulses. And calculating a single-interrupt period position pulse increment through a main interrupt program, performing multi-period accumulation, and calculating the rotating speed of the motor in real time based on an accumulation result. According to the method, through a continuous interruption accumulation algorithm, integer and decimal position pulse information is fully utilized, truncation errors and random errors in a traditional pulse measurement method and a time measurement method are effectively reduced, high-precision and fast-response speed measurement of the high-speed motor in the full-speed domain range is achieved, and the method is suitable for a high-speed control system with the speed of more than 60000 revolutions per minute and has a wide application prospect. The system has the advantages of simple structure, strong anti-interference capability and low software and hardware overhead.