103results about How to "Convenient monitoring work" patented technology

This invention relates to test to the passive intermodulation performance of the communication system, which controls an emitter to emit test signals according to a preset mode, controls a receiver to scan and receive the signals in the test bands and analyze spectrums of the received signals to evaluate the entire passive intermodulation performance of the base station, in which, the original outside interference signals are received at the shut-off state of the emitter to eliminate its influence and measure the performance accurately and the received test bands are computed accurately by the known carrier frequency sphere, intermodulation stages and the received frequency sphere parameters and the test signal receiving quality is increased by scanning the emitted and received continuous waves.

The invention relates to a digital holographic technique, and aims to provide a pipeline powdered coal particle size measuring device and a measuring method. The method comprises the following steps: sampling a gas in a powdered coal conveying pipeline by a sampling nozzle, mixing clean air with the sampled gas to form a mixed gas, and taking the mixed gas as a sample to be delivered into a diluting chamber; combining a laser with a spatial filter to generate collimated laser, and projecting the collimated laser to a CCD camera by virtue of a laser channel of the diluting chamber; and processing a holographic image acquired by the CCD camera to obtain concentration and particle size distribution information of the measured sample, and then obtaining concentration and particle size distribution data of the powdered coal in the sampled gas according to a dilution ratio of the measured sample. By use of the device and the method provided by the invention, online quantitative measurement on the particle size and the concentration of the powdered coal in a pipeline can be achieved at the same time. The device is easy to operate and has a relatively high automation degree, and the measurement process does not need artificial interference; and by virtue of computer calculation, a measurement result close to reality can be given, manpower and material resources are saved, and daily running monitoring and maintenance work of coal-fired boiler equipment are facilitated.

The invention discloses an intelligent remote electronic monitoring device. The intelligent remote electronic monitoring device comprises a mounting assembly, an angle adjusting assembly, a monitoringcamera body, an upper cover shell, a dust-blowing assembly and a wiping assembly; the lower end of the monitoring camera body is provided with the wiping assembly in a connected mode, wherein the wiping assembly is rotatably arranged so as to be buckled on a lens of the monitoring camera body; during cleaning, the dust-blowing assembly conducts air blowing and dust removing on the lens for a period of time firstly, then the wiping assembly is rotatably buckled on the lens of the monitoring camera body for wiping; the wiping assembly is provided with a wiping liquid jetting assembly for automatically jetting wiping liquid and a suction assembly for sucking-dry the wiping liquid. According to the intelligent remote electronic monitoring device, mounting and fixing of the monitoring camera body are facilitated, the mounting structure is simple, replacing and maintaining of the monitoring camera body are facilitated, tools are not needed to be used during mounting and dismounting, the convenience of mounting and dismounting of the monitoring camera body is improved, the replacing and maintaining efficiency of the monitoring camera body is improved, and using and promoting of the monitoring camera body are facilitated.

The invention belongs to the detection technology field and relates to a vibration signal acquisition method for an intershaft bearing. The method includes the steps: utilizing an accelerometer to acquire a vibration signal of an intershaft bearing and a specially-produced sensor installation clasp, the sensor installation clasp being formed by a left half clasp and a right haft clasp that have exactly the same symmetrical structure; and installing the accelerometer on the sensor installation clasp to minimize the influence of imbalance upon a rotor shaft due to installation of the sensor. According to the acquisition method, the structural dimension of the sensor installation clasp is determined at first, the accelerometer is then installed, and finally, the vibration signal of the intershaft bearing is acquired. The installation mode of the accelerometer is improved. The method is capable of accurately acquiring the vibration signal of the intershaft bearing, a signal to noise ratio of the signal is increased, data is provided for fault diagnosis and state monitoring of the intershaft bearing, and great convenience is brought to subsequent monitoring and diagnosis.

The invention relates to an intelligent optical-fiber inhaul-cable damping support system. The intelligent optical-fiber inhaul-cable damping support system comprises an intelligent inhaul-cable damping support and a risk-decision cloud management and control system. The risk-decision cloud management and control system comprises a data demodulator, a wireless data transmitter, an internet cloud and a risk-decision-cloud-management-and-control-system client terminal. A fiber bragg grating strain sensor is internally arranged on the intelligent inhaul-cable damping support, an optical fiber sensor is connected with the data demodulator through optical fibers, the wireless data transmitter transmits data collected by the data demodulator to the internet cloud, and a user can look up the operation condition of the support in real time only by logging in the risk-decision-cloud-management-and-control-system client terminal. By means of the intelligent optical-fiber inhaul-cable damping support system, monitoring of the load bearing condition of the bridge support under the normal operation condition is achieved, and the overload condition of a bridge is early warned; when the disaster effect occurs, shearing force of the support can be obtained by monitoring cable force of inhaul cables in the support, the earthquake response subjected by the structure can be determined through calculating accordingly, and rapid assessment and repairing of the state of a bridge after an earthquake are convenient.

The invention discloses a pollution source abnormal data identification method based on a deep learning algorithm. The method specifically comprises the following steps that S1, a system processing module controls a data acquisition module to acquire detection data of an external pollution source, and transmits the acquired data to a data classification module for classification, and relates to the technical field of data processing. The invention discloses a pollution source abnormal data identification method based on a deep learning algorithm. the feature learning algorithm can take the original data as the input; an unsupervised feature learning process is adopted in the learning process; the accuracy of abnormal identification of the pollution source data can be greatly enhanced; Compared with the prior art, the abnormal data identification time is shortened, rich information of the data is depicted through a deep learning model algorithm, the classification performance is improved, the purpose that no manual extraction exists in the whole feature learning and data abnormity process is achieved, and the problem that label abnormal data are difficult to obtain is well solved.

The present invention belongs to the technical field of geographic information, and especially relates to a national land space resource real-time dynamic intelligent survey monitoring device. The device comprises a stand rod and a monitoring device arranged on the stand rod, the stand rod is provided with a processor configured to process information of the monitoring device, and the monitoring device is connected with the processor. The monitoring device of the national land space resource real-time dynamic intelligent survey monitoring device can monitor information such as the growth and decline information of vegetation objects, activity conditions of wild animals, inhabiting conditions of birds and protected conditions of base farmlands near monitoring points, and hill fire and geological disaster point river water resource and environmental pollution conditions, and can perform processing of the information by the processor to form a statistical table, and the statistical tablecan visually display the surveyed data so as to reduce the manpower and the materials required by consumption by the survey monitoring of 'cleaning' and allow the surveyed data to be more timely and accurate.

The invention provides an automatic steel coil loading device of an uncoiling machine. The automatic steel coil loading device comprises a steel coil car, a sliding rail, measurement sensors, displacement sensors and the uncoiling machine, wherein the sliding rail is positioned at the left side of the uncoiling machine; the steel coil car is mounted on the sliding rail, and is provided with a hydraulic oil cylinder and a loading table; the hydraulic oil cylinder is fixed at the top end of the steel coil car through bolts; the loading table is mounted at the extension end of the hydraulic oil cylinder; a height encoder is arranged at the tail end of the hydraulic oil cylinder; a motor is mounted on the steel coil car; a displacement encoder is mounted at the tail of a motor; the measurement sensors are mounted at one side of the sliding rail through vertical rods; and the displacement sensors are mounted on the sliding rail. The three displacement sensors are arranged on the sliding rail for inducing the position of the steel coil car to control the starting and stopping of the steel coil car; the automatic steel coil loading can be realized; and the measurement sensors are mounted at one side of the sliding rail to detect the heights and widths of steel coils so as to bring convenience for the subsequent monitoring operation.

The invention provides an abnormal behavior monitoring and alarming system and an abnormal behavior monitoring and alarming method. The abnormal behavior monitoring and alarming system comprises an image motion acquiring device, a central control device and an alarm communication device which are sequentially connected, and an adjustment and fixing device which is connected with the image motion acquiring device and the central control device, wherein the central control device comprises a processor, and a storage module, an adjustment module and a transmission module which are all connected with the processor by means of a bus. The abnormal behavior monitoring and alarming system and the abnormal behavior monitoring and alarming method realizes intelligent monitoring and intelligent early-warning on different behaviors of an actor, discover the problem immediately by means of the abnormal behavior monitoring and alarming system, make accurate judgment and send out early warning when an abnormal behavior occurs, and bring great convenience to the monitoring of the actor for the monitoring and management personnel.

The invention discloses an intelligent monitoring device based on the Internet of Things. The intelligent monitoring device comprises a shell and a monitoring device body arranged in the shell. The monitoring device is fixedly installed in the shell through an adjusting assembly arranged at the bottom of the monitoring device, the adjusting assembly comprises a lifting sleeve and a driving motor,the periphery of the output shaft is sleeved with the lifting sleeve through a flat key and a key groove, and the adjusting assembly further comprises an adjusting gear and an adjusting motor. The driving motor and the lifting sleeve are adopted, and the flat key is matched with the key groove, so that angle adjustment of the monitoring device is achieved; an adjusting motor, an adjusting gear andan annular gear are adopted to achieve height adjustment of the monitoring device; a first electric push rod and a rainproof shed are adopted, and a light-emitting tube and a photoelectric inductionplate are matched with lifting of the monitoring device to prevent rain from affecting normal work; a first solar panel and a second solar panel are adopted, so that energy is provided, and the cruising ability is prolonged; the transmission device is adopted, files are transmitted in time, the memory is cleaned regularly, and subsequent monitoring work is facilitated.

The invention discloses a method for extracting, synergistically separating and detecting polychlorinated biphenyl and dioxin in soil, which comprises the following steps: S1, weighing a soil sample, putting the soil sample into an extraction tank, respectively adding an isotope extraction internal standard of polychlorinated biphenyl and an isotope extraction internal standard of dioxin into the extraction tank, and mounting the extraction tank on a pressure solvent extractor, and performing extracting to obtain an extracting solution; s2, transferring the extracting solution into a composite chromatographic column, purifying and separating polychlorinated biphenyl and dioxin in the extracting solution by using different solvents to respectively obtain an eluent containing polychlorinated biphenyl and an eluent containing dioxin, concentrating the eluent containing polychlorinated biphenyl, adding an isotope sample injection internal standard of polychlorinated biphenyl, concentrating the dioxin-containing eluent, and adding an isotope sample injection internal standard of the dioxin; and S3, respectively carrying out qualitative analysis and quantitative detection on the polychlorinated biphenyl-containing concentrated solution and the dioxin-containing concentrated solution by adopting a high-resolution gas chromatography- high-resolution mass spectrometer.

The invention discloses a traffic noise automatic identification method based on ACF and IACF. The method includes the steps that (1) noise generated when a vehicle normally runs is collected; (2) acoustical signals collected in the step (1) are converted into digital signals, ACF and IACF function computational analysis is carried out, and therefore index parameters of all sampled points are obtained, wherein the index parameters include the index parameter phi (0), the index parameter pi1 and the index parameter pi1ACC; (3) feature extraction is carried out on the index parameters, wherein a characteristic value P of the index parameter phi (0), a characteristic value s of the index parameter phi (0), a characteristic value R of the index parameter pi1 and a characteristic value Ct of the index parameter pi1ACC are included; (4) classification identification is carried out on the acoustical signals. Compared with a traditional method that a sound pressure level and a frequency spectrum are used for noise measurement, the method solves the problems that the difference between a test and actual hearing experience of people is large, measuring result errors are large, and real-time performance and representativeness of obtained monitoring data are poor.

The invention discloses a device capable of repeatedly utilizing pore water pressure gauges. The device comprises a plurality of steel pipes arranged from top to bottom. A filter pipe is arranged between every two adjacent steel pipes. The upper end and the lower end of each filter pipe are connected and fixed to the two corresponding steel pipes respectively through two connecting sleeves so as to form a pipe structure of the whole device. A bottom end sleeve is arranged at the bottom of the steel pipe at the lowest end of the pipe structure, and a top end sleeve with an opening in the upper portion is arranged on the top of the steel pipe at the uppermost end of the pipe structure. Holes are formed in the side walls of the filter pipes of the pipe structure. The side walls of the filter pipes are wrapped by non-woven fabric. Each filter pipe is internally provided with one pore water pressure gauge. Wires of the pore water pressure gauges are led out of the opening in the upper portion of the top end sleeve. According to the device, the multiple pore water pressure gauges are embedded in one single drill hole. Meanwhile, the device is convenient to assemble and disassemble, and it can be guaranteed that the pore water pressure gauges are not damaged in the monitoring process. The invention further discloses a manufacturing method of the device capable of repeatedly utilizing the pore water pressure gauges.

The invention provides a rail transit monitoring method and system based on a cloud platform. The rail transit monitoring method includes the steps that a station terminal transmits station data to aconcentration station server, wherein the concentration station server is a virtual server; the concentration station server transmits the station data to a main control center in an on-duty state anda backup-for-disaster-recovery center in a standby state, wherein the main control center in the on-duty state is used for processing and storing the station data, and the backup-for-disaster-recovery center in the standby state is used for backing up the station data; and if the backup-for-disaster-recovery center detects the fact that the main control center breaks down, an operating state is converted from the standby state into the on-duty state, and the station data are processed and stored.

The invention provides a multi-channel gas parameter monitor which comprises a main machine, an installation screw, an installation plate, a detector main shell, a detaching plate, a fixing bolt, a monitoring data screen, a transparent protection piece, a multi-channel joint plate, a data collecting channel, protective telescopic adjusting monitoring probe protection cover structures, a suspendingtype auxiliary supporting ring structure, a bottom protecting detaching frame structure, a detachable portable protection umbrella structure and a replaceable monitoring data recording plate structure. Due to the arrangement of probe protection head covers, protection cylinders, joint casing pipes and monitoring probe bodies, a good protection effect can be better achieved on the monitoring probebodies through the probe protection head covers, the protection cylinders and the joint casing pipes, a monitoring result is ensured, the monitoring probe bodies can be prevented from being affectedby coal dust, and protection storage can be facilitated. Due to the arrangement of connecting heads, telescopic bending pipes and channel butt joint heads, bending stretching and contracting can be conducted according to monitoring requirements so that the positions of the monitoring probe bodies can be adjusted, and monitoring work can be conducted conveniently.

The invention provides a reagent quantity indicating device. Three to five detection probes are arranged on different height positions on the bottom and the side wall of a storage bottle, the detection probes are respectively connected with a control circuit, and a display and a warning device are arranged on a panel of the control circuit. The device is used for storing reagents used for instrument detection in an on-line monitoring system, the storage quantity of reagents is judged through the resistance value among the probes, and the warning is carried out when the set limit value is reached, so the trouble of operators is reduced, the convenience is brought for the monitoring work, and in addition, the on-line monitoring efficiency and the reliability are improved.

The invention discloses a monitoring probe with an alarm function for a dangerous river reach, and relates to the technical field of monitoring probes. The monitoring probe comprises a fixed base, a power box is welded to the top of the fixed base, and a battery pack is fixedly installed in the power box. A supporting column is arranged above the power box, and a driving motor is arranged in the supporting column. According to the monitoring probe with the alarm function for the dangerous river reach, a servo motor and an electric push rod are started, the servo motor drives a camera to rotate(transversely rotate) through a bearing, a rotating column and a connecting shaft, and the electric push rod enables the camera to rotate (vertically rotate), so that the monitoring work of the camera is conveniently completed. The monitoring mechanism is convenient to use and long in monitoring distance, the camera can carry out all-around monitoring work, when dangerous situations are monitoredin a river channel, the monitoring equipment can transmit information to a command and control center through a signal generator, in this way, rescue work can be carried out on drowning people in time, and high practical performance is achieved.

The invention provides an automatic coil loading device for an uncoiler, comprising a coil car, a slide rail, a measuring sensor, a displacement sensor and an uncoiler, the slide rail is located on the left side of the uncoiler, and the coil car is installed on the slide rail, The steel coil car is equipped with a hydraulic cylinder and a loading platform, the hydraulic cylinder is fixed on the top of the steel coil car through bolts, the loading platform is installed on the telescopic end of the hydraulic cylinder, and the tail end of the hydraulic cylinder is equipped with a height encoder. A motor is installed on the car, and a displacement encoder is installed at the tail of the motor. The measuring sensor is installed on one side of the slide rail through a vertical rod, and the displacement sensor is installed on the slide rail. In the present invention, three displacement sensors are arranged on the slide rail, which can sense the position of the steel coil trolley, thereby controlling the start and stop of the steel coil trolley, realizing automatic loading of steel coils, and by installing a measuring sensor on one side of the slide rail, it is possible to detect the steel coil trolley. The height and width of the roll bring convenience to the follow-up monitoring work.

The invention discloses a typhoon path prediction display system for power grid, in accordance with that present invention, includes typhoon data input module, storage module, parameter retrieval module, data analysis module, a current typhoon model construction module and a data transmission module, a parameter obtaining module of the invention obtains the data of the current typhoon and the historical typhoon through a storage module, after the data analysis module matches the parameters of the data of the current typhoon and the historical typhoon, calculation of matching ratio and matchingdegree, The current typhoon model building module fits the historical typhoon track map and the current typhoon track according to the calculation results, and obtains a new typhoon track map by deviation correction, avoiding tedious calculation process, and can be completed only by simple calculation, which significantly shortens the calculation time and the use of large-scale calculation instruments, thereby reducing the use cost.

The invention discloses a WEB-based operation monitoring system and design method. The WEB-based operation monitoring system includes a power supply module, a peccancy snapshot module, a bridge safetyprotection module, a bridge quality detection module and an air quality detection module, wherein the power supply module includes a solar cell panel and a wind driven generator; and the output terminals of the solar cell plate and the wind driven generator are connected with the input terminal of a storage battery through an inverter. As the WEB-based operation monitoring system sets the peccancy snapshot module, the WEB-based operation monitoring system can shoot take pictures for the line pressing peccancy behaviors of vehicles for evidence obtaining, thus guaranteeing traffic safety; as the bridge safety protection module can automatically put down a stop lever at the bridge entrance when the pressure at the upper surface of the bridge achieves the maximum preset value, and when the pressure at the upper surface of the bridge is lower than the maximum preset value, the stop lever is automatically lifted, thus avoiding occurrence of the situation that the bridge is damaged by overlarge pressure; and at the same time, the bridge quality detection module can detect the flexibility, the stress and the vibration situation of the bridge so as to guarantee the safety of using the bridge.

The invention provides a water ecology monitoring device. The water ecology monitoring device comprises a ship body; a first groove which is formed in the bottom of the ship body; a second groove which is formed in the inner wall of the top of the first groove; a first screw rod which is movably mounted in the second groove, and the bottom end of the first screw rod penetrates through the first groove; a mounting cylinder which is fixedly mounted at the bottom end of the first screw rod, and the mounting cylinder is matched with the first groove; a monitoring assembly which is fixedly mounted in the mounting cylinder; and a water pump which is fixedly mounted in the mounting cylinder, and the water pump is matched with the monitoring assembly. The water ecology monitoring device provided by the invention has the advantages that the use is convenient, the operation is simple, the monitoring assembly storage and release structure is arranged, impurities in water can be effectively prevented from being wound, the filtering assembly is convenient to quickly disassemble and assemble, and the detection effect of the monitoring assembly can be effectively ensured.

The invention discloses a walkable guide rail system applied to building curtain wall detection and monitoring; the system comprises an adsorption support device vertically adsorbed on a building curtain wall, horizontal rails arranged at the upper end and the lower end of the building curtain wall, installed on the adsorption support device and suspended from the building curtain wall, a verticalrail arranged between the two horizontal rails and arranged in the vertical direction of the building curtain wall in a suspended mode; and a rail moving device connected with the horizontal rails and the vertical rail and driving the vertical rail to walk on the horizontal rails. According to the guide rail system provided by the invention, the horizontal rails and the vertical rail are suspended on the building curtain wall through the adsorption support device, and the wall-climbing robot can walk on the guide rail system at a certain distance from the building curtain wall, so that the wall-climbing robot can conveniently cross a frame obstacle of the building curtain wall to perform detection and monitoring work; meanwhile, the wall-climbing robot can move up and down and left and right on the building curtain wall, and the purpose of full-coverage inspection, detection and / or monitoring of the building curtain wall in a certain area is achieved.

The invention relates to an unmanned aerial vehicle group automatic inspection system and method for dam defect detection. The unmanned aerial vehicle group automatic inspection system for dam defect detection comprises an airborne control module, a ground control module, a mechanical control module and a data communication module, wherein the airborne control module, the ground control module and the mechanical control module carry out message transmission through the data communication module. Meanwhile, the invention provides an unmanned aerial vehicle group automatic inspection method for dam defect detection. Full-process automatic unmanned detection of the dam is achieved, the automation and intelligence degree of dam face disease detection is remarkably improved, the monitoring efficiency is improved, and the labor cost is reduced.

The invention discloses a water quality monitoring and early warning system based on the Internet of Things and a control method thereof. The system comprises water quality monitoring equipment, a client and a server, wherein the water quality monitoring equipment is used for monitoring water quality information and transmitting the water quality information and the water quality monitoring equipment information to the server; the client is used for sending a data request instruction to the server according to a user requirement; and the server is used for receiving the water quality information and the water quality monitoring equipment information transmitted by the water quality monitoring equipment end for data management, the server is further used for transmitting data requested by the client to the client according to the data request instruction sent by the client, and the server is also used for sending first alarm information the client to remind a user to process when the water quality monitoring equipment is disconnected and sending second alarm information to the client to remind the user to process when the water quality information is lower than a preset water quality condition. Real-time data monitoring on the water quality monitoring equipment and the water quality information can be realized, and the user is reminded when the water quality monitoring equipmentis disconnected and the water quality information is lower than the preset water quality condition.

The invention relates to a monitoring method and system for subsurface tunnel settlement, and the method comprises the steps: obtaining a monitoring position based on the length and direction of a tunnel, and installing a total station; based on the monitoring position, obtaining a plurality of reference point positions and installing a plurality of prisms; when a monitoring instruction sent by the monitoring terminal is received, sending a starting instruction to the total station; when the total station receives a starting instruction, test signals are sequentially sent to the prisms at the reference point positions, and a monitoring result is generated; and sending a monitoring result to the monitoring terminal. The tunnel settlement monitoring device has the advantages that the tunnel settlement degree can be monitored conveniently, and workers can obtain tunnel settlement information in time.

The invention discloses a polar region monitoring equipment protection device, which comprises a base, wherein working equipment is fixedly connected to the upper end face of the base, a protective shell is fixedly connected to the upper end face of the base, the protective shell is arranged in a hemispherical shape, the working equipment is arranged in the protective shell, a plurality of monitoring holes are formed in the protective shell, monitoring rods are arranged in the multiple monitoring holes, the ends, which are away from the monitoring holes, of the multiple monitoring rods are fixedly connected to the working equipment, a thin-wall pipe is fixedly connected to the outer wall of the side, which is away from the base, of the protective shell, a working base is fixedly connectedto the end, which is away from the base, of the thin-wall pipe, and a working cavity is formed in the working base. Wind power in wind and snow can be used for preventing the device from being influenced and damaged by falling snow and icing, so that the safety of the device and the smooth operation of monitoring work are greatly guaranteed.

The invention discloses an arsenic-free detection kit for iodide ions in a trace serum sample. According to the arsenic-free detection kit, the defect that a highly toxic reagent is used in the priorart is overcome, a sodium chlorate-sulfuric acid solution is used for digesting a serum sample at 110 DEG C, iodine is used for catalyzing the reduction reaction of sodium nitrite and ferric thiocyanate, and the concentration change speed of Fe(SCN)6<3-> is measured to be in direct proportion to the iodine content; the reaction temperature and the reaction time are precisely controlled, the absorbance of the remaining Fe(SCN)6<3-> is measured, and the iodine content and the logarithm of the absorbance are in a linear relation. An existing serum iodine quantitative determination method has thedefects of complex reagent preparation, easiness in pollution and decomposition, large dosage of dangerous reagents and large required serum amount. The arsenic-free serum iodine detection kit researched by the invention is convenient to operate, easy to carry, high in safety and suitable for clinically developing individual iodine nutrition detection.

The invention discloses a method for rapidly detecting a buffalo fasciola spp antibody, and belongs to the technical field of cattle plague disease detection. The method comprises the following steps:S1, preparation of an anti-buffalo IgG (Immunoglobulin G) monoclonal antibody 2G7 golden standard antibody conjugate pad; S2, preparation of a detection band: spraying a goat anti-mouse IgG antibodyand a fasciola spp ES antigen on a nitrocellulose membrane respectively to serve as a line C and a line T; S3, assembly of a detection strip; and S4, detection and result judgement: judging whether the antibody is positive or negative through a color development reaction of the detection band. The method has the advantages of rapid detection, easiness and convenience in operation, easiness in judgement, high specificity and the like, and provides a practical and effective method for detecting the buffalo fasciola spp antibody. The method has low requirements on operation techniques of detection personnel, does not need any special instrument equipment, and is suitable for being used during popularization on grass roots.

The invention discloses a wind generating set blade health monitoring device and method, and the device supports a sound level meter and a protective cover through the cooperation of a radial support and a circumferential support, and measures the audio information of a plurality of orientations at the same time. According to the method, noise characteristic parameters are analyzed in a frequency domain space, interference of environmental noise on unit noise is removed, blade noise information is extracted by using a wind wheel rotating speed, and a blade noise characteristic parameter space distribution rule is positioned by using a unit yaw angle; extracting a frequency domain energy amplitude under the condition of discrete parameter combination through discrete environment temperature, wind wheel rotating speed and relative angle direction parameters, and correcting a measurement error; using discrete parameter value domain integration to define a blade noise feature distribution state result variation; according to the device and the method, through collection, analysis and evaluation of noise data in the operation process of the wind generating set, the blade operation health state is monitored and judged, and technical support is provided for health monitoring work of the blade of the wind generating set.

The invention discloses a novel intelligent monitoring camera device. The novel intelligent monitoring camera device comprises a protective shell, a solar charging board, a monitoring head and a fingerprint sensor, wherein the front of the protective shell is provided with a protective door; the protective door fits closely with the protective shell; a handle is arranged at a right-side middle position of the protective door; the handle is tightly welded with the protective door; a bottom left side and a bottom right side of the protection door are provided with loudspeaker holes; and the loudspeaker holes are connected with the protective door in a penetrating way. The solar charging plate absorbs light from the environment, and transformed the absorbed light into electric energy so as toprevent the monitoring camera device from wasting a lot of electricity in the process of monitoring. After the intelligent monitoring camera device is activated, a manager stores own fingerprints through the fingerprint sensor, so that the manager can work through fingerprint unlocking. The novel intelligent monitoring camera device has a relatively high degree of intelligence, is suitable for use in the field of monitoring and camera shooting, and has a broad application prospect in the future.