366 results about "Rain gauge" patented technology

The invention relates to a short-time heavy rainfall region collaborative early warning method based on multi-source fusion data. The method comprises the following steps: firstly, acquiring multi-source heterogeneous data of a ground rainfall station, a radar, a satellite and the like, and converting the multi-source heterogeneous data into a rainfall monitoring data set by adopting multi-scale interpolation and standardization processing; secondly, preprocessing the data set to extract precipitation space features, and combining wind field and air pressure field data to input a time sequence prediction model to generate a precipitation path prediction sequence; and then, processing the prediction sequence by using a graph structure segmentation algorithm, and generating a high-precision early warning region boundary sequence. And finally, carrying out space overlapping degree calculation on the early warning region boundary sequence and a historical disaster region, and when a preset threshold value is exceeded, comprehensively analyzing parameters such as a disaster type and an influence range by adopting a probability model to generate a graded early warning sequence. By adopting the method, the integrity and accuracy of the rainfall monitoring data set can be improved, and the timeliness and reliability of short-time heavy rainfall early warning can be effectively improved.

The invention provides a hydropower station natural disaster intelligent early warning and emergency decision-making method and system based on multi-source data fusion and dynamic threshold optimization, and the method comprises the steps: collecting the water regimen data of a hydropower station and a drainage basin in real time through the deployment of a water level gauge, a rain gauge, a wind speed sensor and a thunder and lightning monitoring device, and combining weather forecast data and historical hydrological data, thereby achieving the intelligent early warning and emergency decision-making of the hydropower station. And dynamically calculating a disaster threshold value, and generating a graded early warning signal. The system comprises a data acquisition module, a dynamic threshold matching module, an early warning generation module, a case retrieval module, an information issuing module and a response tracking module. The early warning threshold is dynamically adjusted through multi-source data fusion and a machine learning technology, and the early warning accuracy is improved; a historical case library is constructed by using a knowledge graph technology, and intelligent recommendation of a disaster disposal scheme is realized; and early warning information and disposal suggestions are directionally pushed through multiple channels, so that the emergency response efficiency is improved. The conversion from passive response to active early warning is realized, and the influence of natural disasters on the operation of the hydropower station is obviously reduced.

The invention discloses an automatic monitoring system and method for hydrological data and a storage medium. The automatic monitoring system comprises a multi-modal data acquisition module, an edge intelligent processing module and a cloud platform. The multi-modal data acquisition module acquires water level, water quality and meteorological data in real time through a radar water level gauge, a multi-parameter water quality meter and a rain gauge, and transmits the data to the edge intelligent processing module; the module extracts and aligns spatio-temporal features through a multi-scale spatio-temporal convolution unit, an uncertainty quantization unit is fused with Bayesian to calculate confidence, and complete data or abstract features are selectively transmitted to a cloud according to an abnormal classification judgment result; the cloud platform fuses multi-source features through a space-time attention mechanism, dynamically adjusts an early warning threshold based on a near-end strategy optimization algorithm, aggregates edge node model parameters through a federated learning framework in combination with a homomorphic encryption technology, updates a global model, and then synchronizes the global model to edge nodes to form closed-loop optimization.

The invention provides a method for constructing an urban drainage unit twin system based on an AI data analysis technology. The drainage unit twin system is composed of an online monitoring device, a network communication system and a remote monitoring platform. The NBIOT or OneNET technology is adopted to carry out networking on the online monitoring device, so that online accurate data acquisition and real-time transmission of a drainage unit pipe network catchment point, a drainage port and a rainfall station intelligent terminal carrying lightweight model are realized; and the remote monitoring platform is combined with an unreal engine technology to truly reflect a 3D real scene of the drainage unit. The intelligent monitoring system has a plurality of data monitoring functions such as rainfall, underground liquid level, flow velocity and flow, water quality, pavement ponding and well lid abnormity alarm monitoring, and provides a comprehensive data source for a drainage unit twin system. The AI technology is used for comprehensively mastering the condition of a drainage system, and visual monitoring of pavement ponding and waterlogging in the urban drainage unit and intelligent monitoring of a drainage pipe network are achieved.

The invention relates to the technical field of rainstorm early warning, in particular to a deep learning-based rainstorm terminal early warning method and system, which introduces an image perception and semantic recognition mechanism to carry out consistency judgment on an overturning state of a rain gauge and image features such as a rain curtain and a water mark so as to realize effective elimination of unnatural trigger factors (such as manual water pouring and the like). And the reliability of rainfall sensing data is improved. A double-branch deep learning model capable of being deployed locally is adopted, multi-source data such as rainfall, temperature and humidity and topographic factors are fused, feature extraction and recurrence period prediction are performed based on a cross attention mechanism, and a threshold correction coefficient is dynamically generated in combination with historical events, so that self-adaptive adjustment of an early warning standard is realized, and misinformation and missing report risks are effectively reduced. The system supports low-power-consumption local operation, early warning decision is executed, and timeliness and accuracy of local early warning response are effectively improved.

The invention provides a power grid equipment large-range progressive real-time flood forecasting method based on a three-water-source Xinanjiang model, which abandons a basin homogenization hypothesis of a traditional lumped model, divides a target basin into subunits with spatial uniqueness and topological connectivity through a Thiessen polygon method, and accurately matches underlying surface spatial differentiation features; according to the method, the limitation of single parameter calibration is broken through, an NSGA-I I multi-objective optimization algorithm is adopted to be combined with historical flood data, a parameter optimization system containing multiple indexes such as a flood peak flow error and a peak present time error is constructed, a Pareto optimal solution set is generated, a parameter knowledge base is constructed in a classified mode, and the problem of poor parameter adaptability is solved; a geographically weighted regression method is used for fusing satellite remote sensing, ground rainfall station and hydrometric station data, a dynamic correction mechanism is established, model input is updated every 30 minutes, and the rainfall runoff calculation temporal-spatial resolution is remarkably improved; after subunit outlet flow riverway convergence calculation is completed based on a Muskingum method, power grid equipment space distribution and vulnerability threshold values are innovatively associated.

The invention discloses a deep learning-based less-data small-watershed water level forecasting method. The method comprises the following steps of: acquiring historical hourly rainfall data of a plurality of upstream rainfall stations of a small watershed and historical hourly water level data of a downstream water level station; preprocessing the acquired data, and screening rainfall sessions with the rainfall capacity of over 15mm per hour within 24 hours and corresponding water level data; the method comprises the following steps: performing data enhancement through a double-generation GAN model, generating simulated rainfall data by a first GAN model by taking white noise as input, generating simulated water level data by a second GAN model by taking rainfall data as input, combining historical data and simulated data, performing normalization, and dividing the data into a training set, a verification set and a test set according to a proportion; constructing a CNN-LSTM hybrid prediction model, training the model by taking a Nash coefficient as an optimization target, and verifying the prediction model by adopting a progressive verification strategy; and deploying the model for real-time water level prediction to obtain a water level prediction result. The method can break through the bottleneck of few data, and achieves the high-precision mountain torrent early warning of the small watershed water level.

The invention relates to the technical field of reflectivity factor testing, and discloses a weather radar reflectivity factor precision calibration testing system, which comprises a radar data acquisition module for acquiring reflectivity factor data and finishing time synchronization by adopting an IEEE1588 protocol; the reference data management module is used for generating an electronic reference data set by utilizing a block chain technology; the calibration processing module is used for performing multi-source joint correction on the reflectivity factor data, the rain gauge data, the standard meteorological target template and the environmental parameters, and outputting the corrected reflectivity data; the precision verification module is used for carrying out real-time precision test on the correction data based on a sliding window, continuously generating test results, forming a precision evaluation vector by adopting weighted average, extracting a quality index to obtain a comprehensive score, and judging whether the correction data is normal or abnormal; and the alarm and report module is used for triggering graded alarm in case of abnormity and generating a calibration certificate and a test report. According to the invention, the precision monitoring capability is improved, manual judgment errors are reduced, and the operation efficiency is improved.

The invention discloses a flood forecasting method for constructing a dynamic unit line library based on rainfall flood data feature classification. The flood forecasting method comprises the following steps: S1, collecting historical data; s2, data cleaning and preprocessing; s3, constructing a flood data classification model; s4, unit line calculation and storage; s5, real-time flood forecasting; s6, performing visualization and verification; the method comprises the following steps: receiving short-term rainfall forecast of a meteorological department in real time, synchronously acquiring measured data of a rainfall station and a water level station in a drainage basin, counting current early-stage influence rainfall, performing feature analysis, establishing a CNN + K-means model, dynamically outputting a forecast result, generating a forecast flood hydrograph according to a calculation process, and continuously performing automatic rolling forecast according to real-time data. A forecasting result is automatically updated, and a real-time data and forecasting result chart is generated; a more scientific basis is provided for flood control decision making, and disaster loss caused by defects of a traditional method is effectively reduced.

The invention discloses a high-precision slope monitoring device based on a Beidou system and a detection method. The method comprises the steps that at least three Beidou positioning base stations and at least three Beidou positioning monitoring stations located at different preset positions of a target slope are arranged; the inclination angle, the soil humidity and the rainfall of the target slope are collected through an inclination angle sensor, a soil humidity sensor and a rain gauge; taking the slope displacement of the target slope as a state variable, and establishing a slope deformation nonlinear state equation according to the inclination angle, the soil humidity and the rainfall; establishing an observation equation between the Beidou positioning data and the slope displacement; establishing a slope stability evaluation model according to the slope deformation nonlinear state equation and the observation equation; and outputting the stability grade and risk early warning information of the target slope according to the slope stability evaluation model. According to the invention, the complex slope stability analysis process is automated through the slope stability evaluation model, the slope stability level and risk early warning information are output, and the evaluation efficiency and precision are improved.

The present invention relates to a method and system for automatic site construction planning of different types of weather radars, belonging to the field of meteorological radars. The method includes: obtaining the topographic information of the area where the radar is planned to be built and determining the parameters of the weather radar; performing grid processing on the area where the site is planned to be built and determining the radar position movement rules; counting the shielding rate in the area where the radar is located and screening the grid points that meet the shielding rate constraint conditions; counting the average annual precipitation at the grid point positions and obtaining the optimal radar site construction grid points; when networking weather radars, selecting multiple different types of weather radars for networking. The present invention sets the specific position and configuration type of the weather radar station as decision variables, sets the minimization of the radar shielding rate as a constraint condition, and combines the average annual precipitation data statistically by rain gauges, so as to realize the automatic construction of different types of weather radar stations.

The invention discloses a rainfall station network layout method, and relates to the technical field of hydrometric station network layout, and the method comprises the steps: obtaining the rainfall data of a historical rainfall station network in a target region, the historical rainfall station network comprising a plurality of rainfall stations; extracting spatio-temporal characteristics of the rainfall data, and obtaining a rainfall prediction value of each spatial unit based on the spatio-temporal characteristics; obtaining prediction precision and a mutual information mean value based on the rainfall prediction value, constructing a fitness function based on the prediction precision and the mutual information mean value, and obtaining an optimal solution based on the fitness function; and obtaining a target rainfall station network layout result based on the optimal solution. The method solves the problems that an existing rainfall station network layout method is insufficient in spatial-temporal feature capture capability, is easy to fall into a local optimal solution due to dependence on a certain heuristic algorithm, and is low in optimization efficiency and cannot effectively balance and collaboratively optimize multiple targets.

The invention belongs to the technical field of hydrological detection, and particularly relates to a double-tipping-bucket rain gauge capable of preventing blocking and detecting blocking and an auxiliary device. The rain gauge is provided with a first anti-blocking net and a net cover filtering column in a rain bearing device; a second anti-blocking net is arranged in the funnel; detection probes are arranged in the two through holes in the bottom of the rain bearing device, and the bottoms of the detection probes are connected with a controller through wires. The rain gauge further comprises an auxiliary device which is used for assisting installation and disassembly of the detection assembly. And a mounting frame is also arranged and is used for supporting and mounting the rain gauge. According to the invention, the arrangement of the three-stage filter screen effectively prevents blockage, and the rainfall gauge can detect the precipitation amount timely and accurately. The problem that a traditional rain gauge cannot efficiently detect blockage is solved, blockage points are accurately judged, the maintenance and repair efficiency is improved, and the rain gauge is widely applied to weather stations, intelligent irrigation areas, urban drainage systems and the like.

The invention discloses an ecological restoration rain gauge based on meteorological monitoring, and relates to the technical field of meteorological monitoring, the ecological restoration rain gauge comprises a base and a range control mechanism, the range control mechanism comprises four groups of push rods, partition plates and a synchronous plate, and the push rods are movably mounted at the left end and the right end of the front side and the rear side of a tipping bucket through insertion respectively; the four partition plates are fixedly installed at the ends, located in the tipping bucket, of the four sets of push rods through bolts correspondingly, and the two synchronous plates are fixedly installed at the ends, away from the tipping bucket, of the two sets of push rods on the front side and the rear side through bolts correspondingly. The push rod drives the partition plate to move in the tipping bucket to adjust the size of the space in the bucket so as to adapt to measurement of different rainfall capacities, so that the tipping bucket is turned over when bearing less rainfall, and the device can also perform accurate measurement during small rainfall.

The utility model relates to the technical field of rainfall simulation, in particular to an artificial rainfall simulation device which comprises a water supply system, a control system, an intelligent terminal system and an acquisition system. The water supply system comprises a water tank, a water pump, a water inlet pipe and a rainfall sprayer. The water pump is arranged on the water inlet pipe and used for pumping water in the water tank to the rainfall sprayer. A control valve is arranged on the rainfall spray head; the intelligent terminal system is used for man-machine interaction, communication with the control system is realized by connecting a local area network built by the system, and data of the intelligent terminal system can be timely transmitted to the control system; the acquisition system comprises a rain gauge and a pressure sensor. The pressure sensor is arranged on the water inlet pipe and used for collecting the pressure value of the water inlet pipe. And the rain gauge is arranged below the rainfall spray head and is used for collecting rainfall. The device has the effect of facilitating rainfall research by simulating artificial rainfall.

The invention discloses a multi-scale radar-microwave fusion rainfall field construction method based on multi-grid dynamic weighting, and the method comprises the steps: respectively obtaining microwave link data, actual rainfall and meteorological radar data through a microwave base station and a rainfall station in a research region, and carrying out the preprocessing of the obtained data; selecting a sliding standard deviation method to distinguish sunny and rainy periods; utilizing a power-law model to perform inversion calculation on the rainfall process after the rain and sunny periods are distinguished; a radar rainfall field is used as an initial background field, a multi-grid layered adaptive weight is introduced, and the fusion weight of radar and microwave data is dynamically adjusted according to the grid resolution; carrying out the cross-scale superposition of microwave inversion data based on a multi-grid variational method, achieving the construction of a multi-scale radar-microwave fusion rainfall field, and generating a fused two-dimensional space rainfall field. According to the technical method, the space coverage advantage of the microwave rain measurement technology and the refinement advantage of radar monitoring can be effectively utilized, accurate reconstruction of rainfall field space distribution is achieved, and traditional radar monitoring is effectively supplemented.

The invention discloses a multi-source rainfall measurement product data fusion method, system and device and a medium, and belongs to the technical field of meteorological data processing, and the method comprises the steps: obtaining meteorological satellite rainfall measurement data, weather radar rainfall measurement data and ground rain gauge rainfall measurement data, and constructing a multi-source rainfall data set; performing preprocessing through the multi-source rainfall data set to obtain satellite rainfall data with a unified coordinate system and resolution, radar rainfall data after noise reduction and rainfall gauge rainfall data after interpolation completion; and in combination with the preprocessed multi-source rainfall data, constructing a time-space consistency data set. According to the method, meteorological satellite, radar and rain gauge data are integrated, a multi-source rainfall data set is constructed, a coordinate system and resolution are unified, noise reduction interpolation ensures time-space consistency, a Kriging interpolation method is adopted to fuse data, resolution and accuracy are improved, an evaluation model is subjected to cross validation, and accurate support is provided for weather forecast and disaster prevention and reduction.

The invention provides rainfall calibration equipment and a control method thereof, and relates to the technical field of rainfall calibration equipment technologies. The rainfall calibration equipment comprises a lower computer, at least one water storage tank and a peristaltic pump, the lower computer is in signal connection with the peristaltic pump, and the peristaltic pump is communicated with the water storage tank and controls the water storage tank to discharge water at a preset speed; and the lower computer executes rainfall detection and calibration processing under the condition of receiving an external instruction. According to the invention, the problem of low metering precision caused by self system deviation in rainfall metering is solved, and the effect of improving the metering precision is further achieved.

The invention relates to the technical field of meteorological monitoring, and discloses a rainfall early warning method and system based on a weather radar, and the method comprises the steps: obtaining weather radar body sweeping arrival base data and rainfall station observation data, carrying out the alignment, carrying out the meshing of the radar base data, and obtaining the grid echo data; constructing a quasi-vertical profile to determine the height range and uncertainty of the melting layer, and carrying out weighted bright band correction on echoes in the melting layer to obtain corrected echo data; determining rainfall type partitions and performing inversion to obtain a radar rainfall intensity field; according to the rainfall station data and the radar rainfall intensity field, station residual data is obtained, a space deviation field is obtained, and finally a calibration rainfall intensity field is obtained; determining an accumulated precipitation field of each member according to the calibrated rainfall field; and obtaining an over-threshold probability published by early warning according to the accumulated precipitation field of each member, and outputting precipitation early warning information when a probability threshold is continuously met. According to the invention, the rainfall intensity overestimation and false alarm jitter are reduced, and the accuracy and stability of short temporary rainfall early warning are improved.

The invention relates to the field of rainwater monitoring equipment, in particular to monitoring equipment for judging initial rainwater, which comprises a shell and a rain gauge assembly, the rain gauge assembly comprises a diversion trench, a balance rod and a swing sensor, a rainwater collecting funnel is arranged right above the diversion trench, and a quantitative drain hole is formed in the bottom of the rainwater collecting funnel. Rainwater passes through the rainwater collecting funnel and flows into the overturning funnel through the quantitative drainage holes in the bottom, when the rainwater amount in the overturning funnel makes the gravity exceed the balancing weight, the balancing rod swings to drive the triggering magnet, the rotating rod rotates, and the rotating rod rotates to drive the rotating rod to rotate. The swing sensor detects magnetic field changes, converts the magnetic field changes into electric signals and transmits the electric signals to the edge algorithm processing module, the temperature and humidity sensor measures environment temperature and humidity, the timer records time, data of the two is also transmitted to the edge algorithm processing module, and rainfall, rainfall intensity and initial rain time are judged through analysis and processing, so that a cumulative rainfall threshold value and initial rain judgment conditions are dynamically adjusted.

The invention relates to the technical field of unmanned aerial vehicles, in particular to a double hangar for parking a small unmanned aerial vehicle, which comprises a hangar, an antenna, an anemometer, a rain gauge and an unmanned aerial vehicle, a cabin door is movably connected to the outer surface of the hangar, a hinge rod is movably connected to the surface of the cabin door, and a supporting plate is fixedly connected to the inner wall of the hangar. An electric telescopic rod is arranged on the surface of the supporting plate. The double-hangar design is adopted, two corresponding parking aprons can be released from the front direction and the rear direction at the same time, and compared with the single-hangar design in the single direction, the double-hangar design is more flexible, the selection range of the applicable scene and the installation position is wider, and the task execution efficiency is higher; two unmanned aerial vehicles can be arranged to work at the same time by using the upper hangars on the upper layer and the lower layer, two unmanned aerial vehicles can also be arranged to work alternately in a special scene, the waiting time of a single unmanned aerial vehicle is shortened, the task execution efficiency is improved, and the task execution continuity is guaranteed.

The invention discloses a meteorological measurement method, device and system, relates to the technical field of communication, and aims to solve the problems that meteorological services provided by meteorological detection equipment such as weather radars, rain gauges and meteorological satellites are unbalanced in supply distribution and large in updating time delay, and the surface precipitation cannot be accurately determined. The method comprises the steps that a receiving end receives a reference signal transmitted through a wireless channel, the reference signal is measured to obtain meteorological information, and then the receiving end reports the meteorological information to core network equipment. Correspondingly, the core network equipment receives the meteorological information reported by the receiving end, determines meteorological characteristic parameters based on the meteorological information, and further provides meteorological services corresponding to the meteorological characteristic parameters. Wherein the meteorological information is used for representing the meteorological characteristics of the wireless channel in the transmission process, and / or the channel state of the wireless channel under the to-be-measured weather. The scheme of the invention can be widely applied to the fields of communication technology, artificial intelligence, Internet of Vehicles, smart home networking and the like.

The utility model relates to the technical field of hydrological rainfall equipment, and discloses a hydrological rainfall gauge which comprises a graduated cylinder, a supporting mechanism is fixedly connected to the bottom of the graduated cylinder, and a filtering mechanism is fixedly connected to the top of the graduated cylinder. The supporting mechanism comprises a base, the base is fixedly connected to the bottom end of the scale cylinder, round rods are rotationally connected to the interiors of the four ends of the base correspondingly, a T-shaped round plate is fixedly connected to the middle of the surface of each round rod, positioning rings are fixedly connected to the two ends of the surface of each round rod correspondingly, and a supporting cylinder is fixedly connected to the top of the base; the top of the supporting cylinder is fixedly connected with a first spring. According to the hydrological rain gauge, after the ground nails are driven to move downwards and are inserted into the soft ground, all the ground nails are inserted into the ground, then a shifting ring is sent away, and a positioning strip is clamped into a positioning hole under the elastic supporting effect of a first spring, so that the supporting effect on graduated cylinder equipment can be enhanced when the hydrological rain gauge is used.

The invention relates to the technical field of side slope monitoring, and particularly discloses a side slope real-time deformation monitoring system based on multi-sensor fusion, and the system comprises a data collection module which is disposed on a road side slope and is used for collecting multi-source monitoring data; the data transmission module is in communication connection with the data acquisition module and is used for remotely transmitting the multi-source monitoring data to a monitoring center; the data processing and early warning module is deployed in a monitoring center; a data fusion unit; a prediction and early warning unit; the system aims to solve the problem of large limitation of a single sensor monitoring means in a complex environment, the system realizes full-dimensional cooperative monitoring of a slope by fusing multi-source monitoring data of a foundation I nSAR, a fixed inclinometer array, a soil pressure sensor, a pore water pressure sensor, a rain gauge and the like, and the slope monitoring accuracy is improved through multi-sensor data fusion analysis. The error of performance reduction of a single sensor in a complex environment is effectively overcome, the comprehensive state of the slope is accurately obtained, and the reliability and precision of slope disaster early warning are remarkably improved.

The invention belongs to the technical field of hydrological detection, and discloses a self-cleaning convenient-to-install integrated rainfall station, which comprises a power supply system, a data acquisition and transmission system, a rain gauge and a self-cleaning system, the power supply system provides power for operation of systems of the rainfall station. The data acquisition and transmission system comprises a telemetering terminal and a Beidou data transmission terminal; the solar bracket and the antenna bracket are connected with the rain gauge through the mounting rack; the rain gauge is provided with a filter screen which ascends and descends along with the electric control reciprocating type lifting rod, the self-cleaning system comprises a rainwater collecting pipeline, a cleaning pipeline, a water storage tank, an automatic control three-way ball valve, a submersible pump, a liquid level meter and the like, automatic control is achieved through a telemetering terminal, and the rain gauge is automatically sprayed and cleaned. The rainfall station is integrally light, convenient to transport and easy to install on site, automatic cleaning and automatic maintenance can be achieved after installation, metering is more accurate, and the rainfall station is suitable for outdoor application and popularization.

Disclosed herein are a meteorological measurement method and apparatus, and a system, relating to the technical field of communications, intended to solve the problems of uneven supply distribution, large update delays, and an inability to accurately determine surface precipitation in a meteorological service provided by a meteorological detection device such as a weather radar, a rain gauge, and a meteorological satellite. The method comprises: a receiving end receiving a reference signal transmitted by means of a wireless channel, measuring the reference signal to obtain meteorological information, and the receiving end then reporting the meteorological information to a core network device; correspondingly, the core network device receiving the meteorological information reported by the receiving end, determining a meteorological characteristic parameter on the basis of the meteorological information, and further providing a meteorological service corresponding to the meteorological characteristic parameter. The meteorological information is used for characterizing a meteorological characteristic of the wireless channel in a transmission process and / or a channel state of the wireless channel in a meteorology to be measured. The solution of the present application can be widely applied to the technical fields of communication, artificial intelligence, vehicle networking, intelligent home networking, and the like.

A collapsible rain gauge for detecting precipitation gradients with connection to a PC assembly includes a mounting frame, a measuring part and a recording mechanism, whereby: – the mounting frame includes a table base (1) with legs, on which a mounting rod (2) is attached, on which a metal eyelet (3) is attached, next to the table base (1) is a support column (10) with a holder (9) of a funnel (8); – the measuring part contains a spring (4) with hooks, which is fixed on one side in the metal eyelet (3) of the fixing rod (2) and on the other end of the spring (4) a cable (13) is fixed, on the opposite end of which a container (5) for collecting precipitation with a bottom lined with soft suction material (7) is suspended by a hook (6) and a funnel (8) for collecting rainwater is fixed to the container (5) through a tube (11) which is fixed in an S-shape using fixing cables (16);– the recording mechanism includes a rotary optical encoder (12) with an axis that is connected to the converter (14) via cables (15), which is connected to the computer assembly (17) via cables (15); the measuring part being equipped with protective walls: side walls (18a) and top wall (18b) for protection against rain. The method of measuring precipitation with this device is described below.;

The utility model discloses a tipping bucket type rain gauge convenient to fix, which comprises a rain gauge body, a protective device is arranged on the outer side of the rain gauge body, the protective device comprises a protective cover, a base, a rain bearing device and supporting legs, the protective cover is installed above the base, the supporting legs are installed below the base, the rain bearing device is connected to the top end of the protective cover, and the rain bearing device is connected with the base. A fixing device is arranged on one side of the supporting leg and comprises a fixing plate, a fixing sleeve, a fixing rod, a fixing block, a push spring, a push plate, a fixing groove and a sliding groove, the fixing plate is arranged below the supporting leg, the fixing block is clamped in the fixing groove, the push plate is connected with the fixing sleeve through the push spring, and the sliding groove and the fixing groove are formed in the inner wall of the fixing sleeve. A positioning mechanism is arranged on the outer side of the fixing rod and comprises a longitudinal groove, an annular groove, a positioning groove, a positioning sleeve and a positioning rod, the bottom end of the longitudinal groove is communicated with the annular groove, the positioning groove is formed in the annular groove, the positioning rod is arranged on the side wall of the fixing sleeve, and the fixing device is convenient to fix and stable in structure and has a protection function.

The invention belongs to the technical field of intelligent equipment, and discloses a support for a rain gauge, which comprises a base and a mounting plate, the base is connected with the rain gauge, the mounting plate is connected above the base, and the mounting plate is used for mounting a terminal. The base comprises a connecting part, a supporting part and a supporting plate, an open hole is formed in the connecting part, the mounting plate is an L-shaped plate and comprises a mounting plate I and a mounting plate II which are vertically arranged, and an open hole is formed in the mounting plate II and fixedly connected with the open hole in the supporting part through a bolt and a nut. The invention further discloses a rain gauge which comprises an outer cylinder, a tipping bucket component and a terminal. A tipping bucket component and a terminal are arranged in the outer cylinder, the tipping bucket component measures rainfall flowing into the tipping bucket component and transmits data to the terminal, and the terminal is connected with the tipping bucket component through a support. The pluviometer is stable in installation, accurate in monitoring, ingenious and reasonable in structural arrangement, capable of fixedly installing the telemetering terminal, free of additional trepanning, reusable in parts, convenient to install and fix, convenient to transform, low in cost and suitable for application and popularization.

The application discloses a kind of foreign matter intrusion perimeter monitoring early warning system and method, system includes that sensor perception system, data acquisition sending system and power supply energy storage system are connected by line, the sensor perception system, data acquisition sending system and power supply energy storage system are laid in the adjacent area of foreign matter intrusion perimeter, the sensor perception system includes monitoring column, monitoring crossbar, rain gauge and camera, the monitoring column is multiple, and it is evenly distributed along horizontal plane, the monitoring crossbar is erected on two adjacent monitoring columns, the rain gauge is arranged on the left side of first monitoring column, and the camera is arranged between monitoring column and the rain gauge.The application can make a response to the specific paragraph of landslide, scale and the like in time, the probability of causing false alarm is low, effectively solve the problem of foreign matter intrusion perimeter monitoring and early warning, the application can realize dynamic monitoring and early warning to foreign matter intrusion perimeter, method has higher reliability, and it is worth promoting.