8599results about "Measurement apparatus components" patented technology

The invention relates to the technical field of abnormal monitoring of water-turbine generator sets, in particular to an abnormal monitoring system and method for a water-turbine generator set, and the system comprises a sensor module, an edge computing node, a cloud analysis platform and a scheduling decision center. The edge computing node performs data preprocessing, the cloud analysis platform realizes accurate early warning by applying technologies such as multi-source data fusion, a dynamic early warning model library and adaptive threshold adjustment, the scheduling decision center optimizes scheduling decisions through a resource matching engine and an emergency plan generation module, and the industrial communication network guarantees reliable transmission of data. In addition, the system is also provided with a visual interaction interface and a state evaluation report generation module. According to the invention, comprehensive and accurate monitoring and intelligent early warning of the water-turbine generator set are realized, the fault processing efficiency is effectively improved, the probability of false alarm and missing alarm is reduced, resource allocation is optimized, the operation safety is enhanced, and a powerful guarantee is provided for stable operation of the water-turbine generator set.

The invention discloses a bridge health prediction device based on a Beidou system and a monitoring analysis method, and relates to the field of bridge health monitoring. The method comprises the following steps: S1, deploying monitoring points at key structure nodes of a bridge, and collecting three-dimensional position information and multi-source data by using a Beidou system and a multi-type sensor; s2, constructing a time-varying displacement field and a continuous deformation tensor, fusing stress and strain to construct a structural fatigue factor, and introducing environmental disturbance to realize dynamic correction of the fatigue factor; s3, a health state function is constructed based on the stress response, the displacement gradient and the deformation tensor, a damage mapping function is constructed in combination with accumulated deformation and a historical threshold value, and a damage thermodynamic diagram is generated; and S4, finally fusing fatigue, health and damage indexes to evaluate bridge risks, and performing dynamic early warning. Through fusion of mechanical tensor features and environmental disturbance modeling, a multi-index linkage fatigue and damage assessment mechanism is constructed, and the precision, robustness and global perception ability of bridge health monitoring are improved.

The invention provides an indoor environment monitoring method and system integrating temperature and humidity, and is applied to the field of sensing data processing. According to the method, the reading difference of the temperature sensor is collected, whether local deviation exists or not is judged, the arrangement type of the sensor is combined, a low temperature value generated by the wall-leaning sensor due to the cold bridge effect is dynamically compensated, misjudgment of an environment system is avoided, and the human body temperature is introduced as a sensing reference by constructing a temperature difference deviation function. According to the method, comprehensive temperature indexes closer to real experience can be generated, when abnormal fluctuation is detected, the space structure and heat source information are further combined, boundary conditions are constructed, dynamic heat flow and temperature and humidity distribution diagrams are simulated, temperature sensing deviation is effectively and reversely corrected, the precision, stability and energy-saving performance of an environment adjusting system are remarkably improved, and the comfort degree of a human body is improved.

The invention provides a non-contact optical fiber sensing system and method, the system comprises a passive optical fiber grating sensor and an active demodulation analyzer, the passive optical fiber grating sensor comprises an optical fiber and an optical fiber grating sensor serially connected to the optical fiber, and the active demodulation analyzer comprises a laser light source, an optical circulator and a demodulation analyzer; one end of the passive fiber grating sensor is connected with a first fiber collimator; the active demodulation analyzer further comprises a second optical fiber collimator and an alignment mechanism; the laser light source is connected with the first end of the optical circulator and used for outputting optical signals. An optical fiber is led out from the second end of the optical circulator and is connected with a second optical fiber collimator; the second optical fiber collimator is used for being aligned with the first optical fiber collimator in a non-contact manner under the adjustment of the alignment mechanism so as to transmit optical signals bidirectionally; and the demodulation analyzer is connected with the third end of the optical circulator. The application scene of the optical fiber sensing system can be expanded, and the cost is saved.

The invention relates to an environment monitoring method and system based on a digital twin technology, and relates to the technical field of environment monitoring, and the system comprises a sensor array which is used for obtaining environment data of a monitoring area; the sensor array comprises a temperature and humidity sensor, an oxygen concentration sensor, a combustible gas concentration sensor, a vibration sensor, a noise sensor and a smoke sensor; the environment monitoring host is used for acquiring and processing the environment data sent by each sensor in the sensor array to obtain an environment prediction result; and the rear-end monitoring terminal is used for displaying the environment prediction result, displaying the virtual environment model and providing a user interaction interface. According to the technical scheme, the digital twinborn technology is applied to environment monitoring, so that the environment monitoring data can be better displayed.

The invention discloses an intelligent henhouse environment concentration monitoring system, and relates to the technical field of henhouse environment concentration monitoring. The influence of changes of environmental parameters in a henhouse in different seasons on chicken raising is solved. The system specifically comprises a sensor module, a data acquisition module, a data transmission module, a data processing module and a remote monitoring module, the sensor module acquires various environmental parameters in a henhouse and transmits the acquired data to the data acquisition module, and the data acquisition module receives the data transmitted by the sensor module, pre-processes the data and transmits the pre-processed data to the remote monitoring module. The preprocessed data is uploaded to the data processing module through the data transmission module, the data processing module analyzes and processes the data, and the collected original data is converted into useful information understood by a breeder. Parameters of the model can be obtained by fitting the model into historical data, and the parameters are used for predicting the influence of changes of environmental parameters in the henhouse on chicken raising in different seasons in the future.

An environment multi-parameter monitoring base station capable of being used for long-term seafloor work is laid to the seafloor through a mother ship in a cable mode, energy is supplied through a dissolved oxygen seawater battery, long-term seafloor environment in-situ monitoring operation is carried out through carried universal and special instruments and equipment, a shore-based instruction is received to adjust a monitoring strategy, and the monitoring base station is used for monitoring the seafloor environment. Monitoring data is transmitted back to the shore-based laboratory in real time; the monitoring base station comprises a rack system, a monitoring system, a control system, a communication system, an energy supply system and a laying and recycling system; the monitoring system is used for completing in-situ monitoring operation on the influence of a seabed biochemical environment and benthos by adopting a general monitoring instrument and an extended special instrument; and the communication system is used as a signal transmission medium to perform parallel and uplink and downlink data transmission and instruction issuing so as to realize networking between the base station and each node around the base station and interaction and communication between the base station and a water surface buoy or a ship.

The invention discloses a sky-ground network integrated high-standard farmland intelligent monitoring management system, and belongs to the field of farmland monitoring management systems. The system is provided with a space monitoring data acquisition unit, an air monitoring data acquisition unit and a ground monitoring data acquisition unit; the system can be combined with satellite remote sensing equipment, unmanned aerial vehicle equipment and a plurality of sensor nodes in a multi-level manner to jointly form a sky-ground integrated data acquisition network for target farmland data acquisition, so that the comprehensiveness and accuracy of data acquisition are greatly improved; meanwhile, mapping layer three-dimensional modeling is carried out on data values acquired and converted by various sensors which are uniformly distributed at certain intervals, so that the display intuition, convenience and layering sense of different data on the target farmland are greatly improved; a user can more intuitively master the health states of crops at different positions of the target farmland and the advantages and disadvantages of the crop growth environment.

The invention relates to a high-precision data acquisition method and system for an MEMS sensor, and the method comprises the following steps: carrying out the multi-channel parallel sampling of an initial electric signal outputted by the MEMS sensor, and obtaining an original data flow matrix; performing adaptive denoising processing on the original data stream matrix to obtain a denoised data set; performing signal phase reconstruction on the noise reduction data set through a phase unwrapping technology to obtain a continuous phase feature sequence; performing dynamic drift compensation on the continuous phase feature sequence to obtain a calibration signal vector; performing transient characteristic extraction on the calibration signal vector to obtain a sensor response characteristic curve; and performing high-precision data resampling on the sensor response characteristic curve based on an adaptive quantization coding technology to obtain a high-precision data acquisition result, thereby solving the technical problem of how to effectively remove noise interference generated in a multi-channel parallel sampling process.

The invention discloses an equipment health state dynamic prediction method fusing digital twinning and multi-scale evaluation, and relates to the technical field of equipment health prediction of an active launching platform, and the method comprises the steps: laying multiple types of sensors on a mechanical structure layer, a hydraulic execution layer, an electric control layer and an environmental action layer of the active launching platform; multi-source operation data such as stress strain, pressure torque, temperature power and environment load are collected in real time, and a standardized input parameter set is formed; and constructing a multi-layer digital twinborn model, forming a multi-scale twinborn mapping matrix, calculating a healthy coupling evolution coefficient, and evaluating the stability of the multi-layer collaborative structure of the platform. Calculating a multi-scale stability coefficient, and updating the multi-scale twin mapping matrix; and calculating a dynamic prediction driving index to realize prediction reliability judgment and digital twin model self-learning updating. And a health prediction closed loop of digital twinning and physical equipment is realized.

The invention relates to a shear-based acceleration and pressure composite sensor and an assembly method thereof, and belongs to the field of composite sensors. According to the technical scheme of the acceleration and pressure composite sensor based on the shear type structure, an acceleration detection module comprises a mass block of a regular polygon prism structure, and each side face of the mass block is provided with an acceleration sensitive ceramic piece; the pressure detection module comprises a force transmission column of a regular polygon prism structure, and each side face of the force transmission column is provided with a pressure sensitive ceramic piece, an electrode piece and an insulation block. According to the scheme, the sensitive elements of the acceleration sensor and the pressure sensor core are arranged in a polygonal mode to form a spatial three-dimensional structure, the effective area of the sensitive elements in unit volume is increased, the multiple sensitive elements act together to form superposition of pressure signals, the detection precision and sensitivity of the two are guaranteed, and the detection precision is improved. Therefore, the overall size of the composite sensor is greatly reduced on the premise that the original precision is maintained, and the composite sensor is miniaturized.

The present invention relates to the technical field of bridge structure monitoring, and specifically to a bridge disease monitoring method based on an inspection robot, comprising: obtaining a BIM model of a bridge, collecting GIS data of a location of the bridge and establishing associations with elements in the BIM model, and integrating the BIM model and the GIS data into a BIM+GIS fusion model; configuring a sensor and a communication module in the inspection robot, building a Web platform and establishing a communication connection with the inspection robot; when the inspection robot inspects the bridge, real-time data is collected through sensors, and the collected bridge structure data and position data of the inspection robot are sent to the Web platform; the Web platform receives and parses the position data, searches for a component corresponding to the position data in the BIM+GIS fusion model according to the position data, and maps the real-time position of the inspection robot to the corresponding component, thereby realizing accurate positioning and dynamic visualization of the position of the inspection robot.

The invention provides an adjustment method of detection equipment, and the detection equipment sequentially comprises an objective lens, a spectroscope, a barrel lens and a detector from an object space to an image space, and also comprises a Kohler illumination module. The illumination light beam is emitted from the Kohler illumination module and is transmitted to the objective lens through the spectroscope, when the object to be detected is arranged on one side, far away from the spectroscope, of the objective lens, the illumination light beam emitted from the objective lens is reflected to obtain a reflected light beam, and the reflected light beam sequentially passes through the objective lens, the spectroscope and the barrel lens to reach the detector. After an aperture diaphragm is inserted into the Kohler illumination module and an auxiliary lens is arranged between the barrel lens and the detector, obtaining a first light spot position of a light spot formed by the aperture diaphragm at an entrance pupil of the objective lens through the detector; and under the condition that the Kohler illumination module does not provide the illumination light beam and the light source is used as an object to be detected, acquiring a second light spot position of the light spot of the entrance pupil of the objective lens through the detector, adjusting the position of the aperture diaphragm according to the first light spot position and the second light spot position, and aligning the illumination optical axis and the imaging optical axis.

The invention discloses a double-rocker-arm derrick monitoring system based on multi-sensor data fusion, and particularly relates to the field of monitoring, which comprises a sensor module, a data preprocessing module, a data fusion analysis module, a state evaluation module and a visual terminal module, parameters of the double-rocker-arm derrick are monitored in real time through the sensor array, multi-source data synchronization and feature extraction are achieved in combination with the data preprocessing module, multi-modal data fusion is conducted through the improved D-S evidence theory, and the structure health index, the risk level and the fault probability are output; the state evaluation module generates three-level early warning signals based on a dynamic threshold model, historical data is compressed and stored and supports cloud synchronization, and the visual terminal renders a three-dimensional digital twinborn model through Unity 3D, dynamically displays postures, deformation fields and environmental factors, provides an interactive evaluation report and AR early warning annotation, and realizes whole-process real-time monitoring and intelligent decision support.

A sensor assembly includes a carrier plate, a mounting plate, and a sensor on or over the mounting plate. The assembly can additionally include two ball studs attaching the mounting plate to the carrier plate, the ball studs defining a first axis passing through center points of the ball studs. A first adjustable screw can be positioned to tilt the mounting plate about the first axis, and a second adjustable screw can be positioned to rotate the mounting plate about a vertically oriented second axis, in which the second axis is spaced from the ball studs.

The invention relates to the technical field of air permeability testing devices, in particular to a non-woven fabric air permeability detecting device which comprises a bottom plate, a lower barrel fixedly connected to the bottom plate in a suspended mode and an upper barrel arranged above the lower barrel, an opening of the upper barrel and an opening of the lower barrel are oppositely arranged, a liftable bearing disc is arranged in the lower barrel, a vertical plate is fixedly connected to one side of the bottom plate, and the vertical plate is fixedly connected to the other side of the bottom plate. A C-shaped lifting frame is slidably connected to the vertical plate, a first linear module used for driving the lifting frame to ascend and descend is installed on the vertical plate, the upper portion of the lifting frame is fixedly connected with the upper barrel, and the lower portion of the lifting frame slidably penetrates through the side wall of the lower barrel and is fixedly connected with the bearing disc. Through cooperation of the rotating ring, the curved guide rail and the linkage mechanism, the multiple clamps synchronously move in the radial direction, multidirectional uniform drawing force can be applied when the cloth is clamped, the tension is monitored in real time in combination with the tension sensor, the stretching amount is accurately adjusted, and air permeability detection of the cloth under different stretching degrees is achieved.

The invention discloses a visual sand storage tank reserve accurate monitoring method and system based on multi-dimensional sensing fusion, and the method comprises the following steps: installing a sensor at a key position of a sand storage tank, collecting the multi-dimensional data of the sand storage tank in real time, and carrying out the preprocessing of the collected multi-dimensional data; according to the method, pressure, height, form and humidity data of a sand body are acquired through cooperation of multiple sensors such as pressure, ultrasonic, laser radar and humidity sensors, a dynamic data fusion algorithm and partition mechanical modeling are combined, and reserves trend prediction is realized by using LSTM (Long Short Term Memory); a three-dimensional digital twinborn model is constructed, sand body distribution and flow states are dynamically displayed by color / transparency, a multi-level early warning mechanism is established in combination with multi-dimensional parameters, and meanwhile, a block chain evidence storage technology is introduced to perform uplink evidence storage on key data to ensure that the data cannot be tampered and operation is traceable.

The invention discloses an environment temperature and humidity comprehensive monitoring device, and relates to the field of environment monitoring, and the device comprises a mounting rack which is used for bearing all functional parts and functional modules, and serves as a mounting main body; the monitoring unit is used for detecting temperature and humidity data in a limited range as initial detection data; the temperature and humidity acquisition part is used for analyzing interference sources and influence events in a limited range and compensating initial detection data; the monitoring unit and the temperature and humidity acquisition part are both mounted on the surface of the mounting frame; an interference source in an environment and a state of the interference source are detected and identified in real time, an interference compensation model is constructed by using historical data, influence brought by the interference source is converted into a compensation value, and detection data are corrected, so that external interference factors are compensated intelligently, and an initial detection value is corrected based on the compensation model and an actual interference value. The stability and accuracy of final temperature and humidity monitoring data are ensured, and the actual condition of the current monitoring area is accurately reflected.

The invention provides a decoupling and Kalman filtering temperature strain demodulation method and system for double fiber gratings, and relates to the technical field of optical fiber sensing. The method comprises the following steps: firstly, designing an FBG sensing module for measuring environment temperature change and strain information; the FBG sensing module comprises a two-channel sensing system composed of an FBG1 sensor and an FBG2 sensor, and is used for measuring environment temperature change and strain information at the same time. Then, aiming at optical signals which are acquired by the two FBG sensors and contain physical quantity information, a wavelength demodulation module is used for acquiring the central wavelength drift distance of reflection spectrums of the two FBG sensors; temperature sensitivity coefficients and strain sensitivity coefficients of the two FBG sensors are obtained, and a linear equation set is constructed for independent variation of temperature and strain to perform matrix decoupling so as to distinguish the influence of the temperature and the strain on the change of the central wavelength; and performing optimization estimation on the decoupled temperature and strain by using the prior information of the temperature and the strain and combining a real-time measurement value by adopting a Kalman filtering method.

The invention provides a hatching egg multi-quality measuring device and method, and belongs to the field of intelligent detection equipment, the hatching egg multi-quality measuring device comprises an industrial personal computer, a microcontroller, a weighing unit, a front light source, a back light source and a camera; the front light source is arranged above the weighing table, the back light source is arranged below the weighing table, and generated light rays penetrate through the weighing table and irradiate on hatching eggs to be detected; the camera is arranged above the weighing table and is used for acquiring a front illumination image of the hatching egg to be detected after the front light source is turned on or acquiring a back illumination image of the hatching egg to be detected after the back light source is turned on; and the industrial personal computer realizes multi-index parameter detection according to the measurement data fed back by the weighing unit and the front illumination image and the back illumination image acquired by the camera. The hatching egg detector can perform multi-angle data acquisition, internal and external multi-index parameter detection, evaluation and recording on hatching eggs, can be used for poultry eggs of different varieties and sizes, is high in adaptability, and ensures the detection accuracy and reliability, thereby helping to perform finer quality control.

The invention relates to the technical field of photovoltaic power station installation monitoring, in particular to a photovoltaic power station installation process real-time measurement and calibration system which comprises an installation data acquisition module, a positioning calibration module, an environment compensation module, an installation error analysis module and a dynamic adjustment module. Wherein the data acquisition module is used for acquiring three-dimensional coordinate data, inclination angle data and environmental parameters of the photovoltaic module; the positioning calibration module is used for constructing a component space topology network; the environment compensation module is used for outputting an environment compensation coefficient to correct the initial calibration parameter; and the installation error analysis module is used for calculating the three-dimensional coordinate deviation value and the inclination angle deviation value of each component. According to the invention, the three-dimensional coordinates and inclination angle data of the photovoltaic module are measured in real time, the installation error is corrected in combination with environmental compensation, and an automatic adjustment mechanism is utilized to drive the adjustment mechanism to accurately calibrate the position and angle of the module, so that the installation precision of the photovoltaic power station is improved, and the adaptability of the system to environmental change is enhanced.

The invention provides an oil and gas pipeline monitoring system based on a distributed optical fiber technology. The oil and gas pipeline monitoring system can monitor the strain and the internal pressure of a pipeline at the same time. The distributed monitoring of the axial strain of the pipeline and the quasi-distributed monitoring of the internal pressure are realized by laying the accompanying strain optical fiber beside the pipeline and winding and fixing the optical fiber in the circumferential direction of the pipeline at intervals. The system utilizes the BOTDA or BOTDR host to demodulate the data measured by the optical fiber and transmits the data to the local or cloud computer for processing, so that the pipeline axial strain and the area with large pressure change in the pipeline can be effectively monitored, and the system is used for providing corresponding early warning information. According to the method, the optical fiber originally used for strain monitoring can also be used for pressure monitoring, and the effect that one fiber has multiple purposes is achieved. The system is simple in design, easy to implement and suitable for real-time monitoring and maintenance management of large-scale oil and gas pipelines.

The utility model discloses portable equipment for measuring the carbon emission rate of a fixed source. The portable equipment comprises a box body, a signal processing module, a first flue gas parameter measuring module and a second flue gas parameter measuring module, the first flue gas parameter measurement module comprises a pitot tube, a static pressure tube, a differential pressure sensor and a static pressure sensor, the differential pressure sensor is connected with the pitot tube, and the static pressure sensor is connected with the static pressure tube; the second flue gas parameter measurement module comprises a sampling pipe, a temperature sensor, a humidity sensor and a carbon dioxide concentration sensor, the temperature sensor is arranged in the sampling pipe and close to the sampling port, the humidity sensor is arranged in the sampling pipe, and the carbon dioxide concentration sensor is arranged in the sampling pipe and located at the end, without the sampling port, of the sampling pipe; a main discharge pipe is arranged in the box body, the main discharge pipe penetrates out of the box body, and one end, positioned in the box body, of the sampling pipe is connected with the main discharge pipe. According to the utility model, only one sampling hole is needed, the difficulty of insufficient sampling holes of the flue of the power plant is solved, the application scene of the detection device is expanded, and the environmental adaptability is improved.

The present invention relates to the field of marine buoys, and in particular to a marine environment monitoring buoy platform, comprising a buoy body, a marine monitor arranged above the buoy body, and an ecological monitor arranged below the buoy body, a submersible assembly is arranged at the bottom of the buoy body, and the submersible assembly comprises a fixed box, a driving motor is fixedly arranged in the center of the inner cavity of the fixed box, and multiple groups of reel shafts are evenly arranged outside the driving motor, and the upper and lower ends of the reel shaft are rotatably matched with the fixed box, and the output end of the driving motor is provided with a driving gear, and a transmission gear is fixedly sleeved on the reel shaft, and the driving gear is meshed with the transmission gear, and a lowering rope is wound on the reel shaft, and one end of the lowering rope passes through the fixed box and is fixedly connected with a protective assembly. The present invention can achieve a fully surrounded and covered scouring effect on the outer wall of the ecological monitor, thereby effectively preventing marine organisms such as barnacles and oysters from parasitizing on the ecological monitor, which is beneficial to the monitoring process.

The invention relates to the technical field of inspection robots, and particularly discloses an underground pipe gallery environment detection system and method based on an inspection robot, and the system comprises a robot inspection system, a data transmission system, a monitoring system, an alarm system, and an artificial auxiliary inspection system. The robot inspection system comprises a pipeline, a charging storage bin, a controller, a carrying mechanism, a ground moving mechanism and an external detection mechanism. The carrying mechanism is arranged outside the charging storage bin; the ground moving mechanism is arranged outside the carrying mechanism; and the external detection mechanism is detachably placed outside the pipeline. Mobile inspection can be quickly and automatically carried out in the pipe gallery, inspection personnel are prevented from directly entering a dangerous environment, data are remotely analyzed in real time, early warning is carried out in time when fault hidden dangers are found, detection operation can be carried out along an external area of a pipeline and a ground area, and comprehensive state information of the pipe gallery is obtained at a time; and the time cost of multiple times of detection is reduced.

The invention relates to an intelligent soft rock tunnel surrounding rock deformation automatic monitoring and early warning system, and belongs to the field of tunnel construction safety monitoring. According to the system, multi-source data of surrounding rocks are synchronously acquired through a micron-sized laser displacement sensor, a fiber grating strain sensor, a pore water pressure sensor and a three-dimensional micro-seismic sensor array which are distributed; the edge calculation node fuses the data in real time and calculates the displacement rate, the strain gradient and the osmotic pressure coupling coefficient, and local early warning is triggered in combination with a dynamic threshold value; the cloud early warning platform predicts a deformation trend based on an LSTM-Transform fusion model, generates a multi-stage early warning signal through a risk grading engine, and is linked with the supporting equipment to regulate and control pressure; and meanwhile, a self-calibration device, an explosion-proof shell and a piezoelectric-thermal energy self-powered system are integrated. According to the method, closed-loop control from millimeter-level deformation sensing to active supporting can be achieved, and tunnel construction safety is remarkably improved.

The invention relates to the technical field of stainless steel welded pipe solid solution, in particular to stainless steel welded pipe online bright solid solution equipment which comprises a base, a motor A is fixedly connected to one end of the base, a reciprocating lead screw is connected to the output end of the motor A, a first support is arranged on the outer side of the reciprocating lead screw, and a movable ring is connected to the interior of the first support. And a bevel gear is arranged on one side of the movable ring, and a gear A is arranged on one side of the bevel gear. After the stainless steel pipe is polished, the stainless steel pipe can gradually move along with movement of the first support, meanwhile, air can be released upwards after entering the interior of the spray head, and therefore the outer wall of the polished stainless steel pipe is cleaned; and meanwhile, after welding is completed, the spray head can cool the welded position at the same time, and the grinding roller can grind the welded position, so that the welded position is smoother, and the stress generated by welding is also reduced.

The invention provides a centrifugal pump operation monitoring method and system, and the method comprises the following steps: collecting the operation parameters of a centrifugal pump in real time through a plurality of sensors, including inlet flow, inlet and outlet pressure and pressure difference, a main shaft vibration signal, a main shaft rotation speed, and the temperature of a pump body and a medium; denoising, abnormal value elimination and normalization preprocessing are carried out on the collected data; establishing a centrifugal pump spindle radial hydraulic exciting force model; calculating the alternating stress of the main shaft according to the hydraulic exciting force and predicting the fatigue life; and a fault early warning mechanism is designed based on the fatigue life prediction result, and real-time monitoring and fault early warning of the running state of the centrifugal pump are achieved. Through combination of data acquisition and processing, life prediction and a fault early warning mechanism, real-time monitoring of the running state of the centrifugal pump spindle and residual life prediction are achieved, and the running reliability and safety of equipment are improved.

The utility model provides a riverway water regimen monitoring device, relates to the technical field of monitoring devices, and aims to solve the problems that in a severe weather environment, a cross rod of the riverway water regimen monitoring device extends too much, so that the contact surface with wind is easily increased, and torsion and even fracture phenomena are easily caused under the action of wind power. A monitoring part is arranged outside the mounting part; and a contraction part is arranged in the mounting part. A bevel gear is arranged on the outer wall of a torsion cross rod, connection with a control motor in an assembling groove is facilitated, the torsion cross rod is controlled to rotate under the action of the control motor, and a telescopic cross rod is controlled to be adjusted through a threaded groove in the inner wall in the rotating process; and the relative length of the contraction part can be conveniently shortened by contracting the telescopic cross rod in strong wind weather, so that the contact area with wind is reduced, and the probability of bending and breaking phenomena is reduced.

The invention discloses a handheld integrated itinerant detector and an itinerant detection method thereof. The itinerant detector comprises a multi-source sensing unit and a magnetic attraction positioning module, the inspection method comprises the following steps: establishing a multi-dimensional calibration parameter of a target device, adsorbing on the surface of the target device based on a magnetic attraction positioning module, loading a spatial layout, and generating an environment calibration model; synchronously operating the far / close distance temperature measurement module and the vibration sensing module, and outputting multi-source fusion data; performing dynamic correlation analysis, analyzing vibration spectrum energy distribution by using a feature extraction algorithm, constructing a vibration-temperature coupling feature vector in combination with temperature gradient change, inputting a fault diagnosis result of a pre-trained fault diagnosis model, generating a visual early warning map, and feeding back the early warning map in real time through an interactive interface; according to the method, the limitation of single parameter monitoring is overcome, the detection precision is remarkably improved, and a real-time, rapid and accurate fault detection result is provided through self-adaptive switching of a temperature measurement mode and a multi-frequency-band vibration acquisition strategy.