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Sensors Climate / Environment Precipitation sensors

Precipitation sensors

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Supplier: Delta OHM S.r.l.,  G. Lufft Mess- und Regeltechnik GmbH,  LAMBRECHT meteo GmbH, 
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Delivery type: CFR - Cost and freight,  CIF - Cost, insurance and freight,  CIP - Carriage and Insurance Paid to,  CPT - Carriage paid to,  DAP - Delivered at place,  DDP - Delivered Duty Paid ,  DPU - Delivered at place unloaded,  EXW - Ex Works,  FAS - Free Longitudinal Ship ,  FCA - Free carrier,  FOB - Free on Board, 
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Applications
Applications: Construction,  Environmental monitoring / Environmental observation,  Forestry,  Vehicles & Road Traffic,  Waste management, 
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Product types
Product types: Precipitation sensors, 
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Measurement possibilities
Measurement possibilities: Amount of precipitation,  Precipitation duration,  Precipitation intensity,  Precipitation intensity,  Precipitation types,  Precipitation, liquid, 
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Measurement principle
Measurement principle: Radar,  Tipping scale,  Weighing table, 
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Signal output: 0…10 V,  4…20 mA, 
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Detection area: 400 cm2, 
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Protection class: IP 64,  IP 66,  IP67, 
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Switching function: Normally closed contact, 
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Precipitation types
Precipitation types: Drizzle,  Granular snow,  Hail,  Icy rain,  Rain,  Sleet,  Snow, 
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Interfaces/protocols: ASCII protocol,  Modbus,  Modbus RTU,  RS-485,  SDI-12,  SDI12,  UMB protocol,  USB, 
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Housing material
Housing material: Aluminum, coated, 
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Accuracy (%)
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Precipitation-monitor measurement value
Precipitation-monitor measurement value: Precipitation yes/no, 
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Switching output: Puls output,  Reed contact, 
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Switching voltage, max.
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Mounting
Mounting: Mast mounting,  Mast mounting, L=0.5m,  Mast mounting, L=1m,  Pigeon repellent spike, 
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Additional functions/options
Additional functions/options: Differentiation of 11 drop classes,  Heating,  Pulse output, 
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Sensors and measurement technology
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1 - 13
LAMBRECHT meteo GmbH rain[e] Weighing precipitation sensor Item number: 00.15184.400000
Applications Vehicles & Road Traffic Forestry Waste management Environmental monitoring / Environmental observation Construction
Signal output 4…20 mA
Interfaces/protocols RS-485 USB Modbus RTU Show all ASCII protocol SDI-12 SDI12
Switching output Reed contact Puls output
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Delta OHM S.r.l. HD2013 - HD2013-5-A-R1-K0 Item number: HD2013-5-A-R1-K0
Switching voltage, max. 12 V
Signal output 4…20 mA
Interfaces/protocols SDI-12
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Delta OHM S.r.l. HD2013 - HD2013-5-A-R-H5 Item number: HD2013-5-A-R-H5
Switching voltage, max. 24 V
Signal output 4…20 mA
Interfaces/protocols SDI-12
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Delta OHM S.r.l. HD2013 - HD2013-1-S-R-H5 Item number: HD2013-1-S-R-H5
Accuracy (%) 2 %
Speed, max. 1,000 mm/s
Resolution 0.1 to 0.5 mm/m²
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Delta OHM S.r.l. HD2013 - HD2013-1-S-R1-H5 Item number: HD2013-1-S-R1-H5
Accuracy (%) 2 %
Speed, max. 1,000 mm/s
Resolution 0.1 to 0.5 mm/m²
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Delta OHM S.r.l. HD2013 - HD2013-5-S-R1-K5 Item number: HD2013-5-S-R1-K5
Switching voltage, max. 12 V
Speed, max. 1,000 mm/s
Accuracy (%) 2 %
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Delta OHM S.r.l. HD2013 - HD2013-5-V-R-K Item number: HD2013-5-V-R-K
Switching voltage, max. 24 V
Signal output 0…10 V
Speed, max. 1,000 mm/s
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Delta OHM S.r.l. HD2013 - HD2013-5-V-R1-K Item number: HD2013-5-V-R1-K
Switching voltage, max. 12 V
Signal output 0…10 V
Speed, max. 1,000 mm/s
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Delta OHM S.r.l. HD2013 - HD2013-5-S-R-H5 Item number: HD2013-5-S-R-H5
Accuracy (%) 2 %
Speed, max. 1,000 mm/s
Resolution 0.1 to 0.5 mm/m²
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Delta OHM S.r.l. HD2013 - HD2013-5-S-R1-H1 Item number: HD2013-5-S-R1-H1
Accuracy (%) 2 %
Speed, max. 1,000 mm/s
Resolution 0.1 to 0.5 mm/m²
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G. Lufft Mess- und Regeltechnik GmbH Precipitation sensor WTB100 Item number: 8353.10
Precipitation types Rain
Measurement possibilities Amount of precipitation
Switching function Normally closed contact
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G. Lufft Mess- und Regeltechnik GmbH Radar rain sensor R2S-UMB Item number: 8367.U01
Resolution 0.01 to 1 mm/m²
Precipitation types Rain Snow Icy rain Show all Hail Sleet
Measurement principle Radar
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G. Lufft Mess- und Regeltechnik GmbH Radar precipitation sensor Item number: WS100
Particle size 0.01 to 5 mm
Precipitation types Rain Snow Icy rain Show all Hail Drizzle Sleet
Precipitation-monitor measurement value Precipitation yes/no
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A precipitation sensor is a device used to measure the amount and intensity of precipitation such as rain or snow. There are several types of precipitation sensors based on different physical principles.

The most common precipitation sensor is the tipping bucket sensor. This sensor consists of a weighing pan mounted horizontally on an axle. When precipitation falls on the pan, it tilts to a vertical position and the sensor counts the number of tilts. Each tilt corresponds to a certain amount of precipitation.

Another type of precipitation sensor is the tipping bucket sensor. This sensor consists of a funnel that directs precipitation onto a tilting device. When a certain amount of precipitation has accumulated in the funnel, the device tilts and the water is drained. Each tipping operation corresponds to a certain amount of precipitation.

There are also rain gauges based on ultrasonic or microwave technology. These sensors measure the time it takes for precipitation to reflect back from the sensor surface and use this to calculate the amount of precipitation.

Precipitation sensors are used in a variety of applications including meteorology, agriculture, water management and flood control. In meteorology, they are used to measure the amount and intensity of precipitation and to predict the weather. In agriculture, they are used to determine the rainfall requirements of crops and to control irrigation. In water management and flood control, they are used to monitor the water balance of rivers and streams and to take flood control measures.

Overall, precipitation sensors are useful tools for measuring precipitation in various applications. Precipitation measurement is an important parameter for weather forecasting and for the planning and control of agricultural and water management processes.

What are precipitation sensors and what are they used for?

Precipitation sensors are devices that have been developed to measure the amount and intensity of precipitation. They are often used in weather stations, agricultural operations and for monitoring water consumption.

The main function of precipitation sensors is to detect and measure precipitation. They usually consist of one or more chambers equipped with sensors to detect raindrops. If a drop falls on the sensor, this is registered and the data is collected.

Precipitation sensors are important for monitoring the amount and intensity of precipitation in a particular area. This information is important for various applications. For example, they can help with the planning of irrigation systems in agriculture by calculating the water requirements of plants based on the current or predicted amount of precipitation. They can also be used in meteorology to improve weather forecasts and monitor the climate.

Precipitation sensors are also widely used in smart home systems and in industry to monitor water consumption. By recording the amount of precipitation, these sensors can help to optimize water consumption and adjust the sprinkler systems accordingly to avoid wasting water.

Overall, precipitation sensors are important tools for measuring and monitoring precipitation, which is of great importance in various areas such as agriculture, weather forecasting and water consumption.

How do precipitation sensors work and how do they detect precipitation?

Precipitation sensors are devices that are used to record the amount and intensity of precipitation. There are different types of precipitation sensors that use different methods to detect precipitation.

A common method is the use of tilt rocker sensors. These sensors consist of a container that is connected to a tilting rocker. When raindrops fall into the container, it slowly fills with water. As soon as a certain amount of water is reached, the rocker tilts and empties the container. The amount of precipitation can then be measured by the number of tilting movements.

Another method is the use of capacitive sensors. These sensors consist of two plates that are arranged parallel to each other. If raindrops fall on the top plate, the capacitance between the plates is changed. By measuring this change in capacity, the amount of precipitation can be recorded.

Ultrasonic sensors are another option for detecting precipitation. These sensors emit high-frequency sound waves and record the time it takes to receive the reflected sound wave back. When raindrops hit the sound waves, the reflected time is changed. By measuring this time change, the amount of precipitation can be determined.

Some precipitation sensors also use optical sensors based on light refraction. These sensors emit beams of light and detect the change in light when raindrops pass through the beams. By measuring this change in light, the amount of precipitation can be recorded.

The accuracy and reliability of precipitation sensors depends on various factors, such as the size of the raindrops, the wind speed and the type of precipitation (rain, snow, hail, etc.). Therefore, several sensors are often combined to obtain accurate measurements.

What types of precipitation sensors are there and what are the differences between them?

There are different types of precipitation sensors, which are mainly differentiated according to their measuring principles. Here are some of the most common types:

1. Precipitation gauge: This is the simplest form of precipitation sensor and consists of a measuring container that measures the collected precipitation. The amount of precipitation collected is then read manually or automatically.

2. Tipping scales: This type of sensor uses a tipping bucket that tilts when there is sufficient precipitation and measures the amount of precipitation. Tipping scales can be operated mechanically or electronically.

3. Ultrasonic sensors: These sensors use ultrasonic waves to detect the drops of precipitation. They measure the time it takes for the ultrasound to travel from the sensor to the ground and back to determine the precipitation rate.

4. Capacitive sensors: These sensors use electrical capacitance to measure precipitation. They consist of two electrodes that become wet due to precipitation and change capacitance. The change in capacity is then used to calculate the amount of precipitation.

5. Optical sensors: These sensors use light beams to measure precipitation. They record the scattering or absorption of light by the drops of precipitation and use this to calculate the precipitation rate.

The differences between the various types of precipitation sensors lie in their accuracy, sensitivity to different types of precipitation (e.g. rain, snow), installation and maintenance complexity and cost. Some sensors may be better suited to certain applications or environments than others.

What technologies are used for precipitation sensors and what are their advantages and disadvantages?

Various technologies are used in precipitation sensors to measure precipitation. The most common technologies are

1. Ultrasound: Ultrasonic sensors emit sound waves and measure the time it takes to receive the reflected sound waves back from the raindrops. This time measurement is then used to calculate the precipitation rate. The advantages of this technology are its good accuracy and the ability to measure other parameters such as wind speed and direction. Disadvantages are the susceptibility to soiling and the limited range.

2. Capacitive sensors: Capacitive sensors measure the change in capacitance between two electrodes when raindrops hit the surface. This change is then converted into a precipitation rate. The advantages of this technology are its high sensitivity and low susceptibility to contamination. Disadvantages are the limited range and the possibility of incorrect measurements in strong winds.

3. Tipping bucket systems: Tipping bucket systems consist of a bucket that tilts under the weight of the precipitation. The inclination is then converted into a precipitation rate. The advantages of this technology are its simple design and low cost. Disadvantages are the limited accuracy and susceptibility to interference from vibrations.

4. Optical sensors: Optical sensors use light beams to measure precipitation. When raindrops pass through the light beams, the intensity of the light is changed and can be used to calculate the precipitation rate. The advantages of this technology are its high accuracy and low susceptibility to contamination. Disadvantages are the limited range and the possibility of incorrect measurements in fog or snow.

Each technology has its own advantages and disadvantages, which must be taken into account depending on the application and environment.

How accurate are precipitation sensors and what sources of error can influence their measurements?

Precipitation sensors are devices that are used to measure precipitation. They record the amount of precipitation that falls on a certain area and usually provide a signal or digital output indicating the amount of precipitation.

There are different types of precipitation sensors, including mechanical, optical and acoustic sensors. Mechanical sensors, for example, use a tiltable container that collects the precipitation and tilts when a certain amount is reached in order to count the precipitation. Optical sensors use light beams to detect precipitation, while acoustic sensors use sound waves.

However, there are some potential sources of error that can influence the measurements of precipitation sensors. These include:

1. Wind: Strong gusts of wind can blow the precipitation away or influence the sensor, which can lead to inaccurate measurements.

2. Evaporation: In dry and hot environments, precipitation can evaporate quickly before it is detected by the sensor. This can lead to an underestimation of the actual precipitation.

3. Pollution: If the sensor is covered or blocked by dirt, dust or other impurities, this can lead to inaccurate measurements.

4. Incorrect calibration: An incorrectly calibrated sensor can provide inaccurate measurements. It is important to check the sensors regularly and recalibrate them if necessary.

5. Mechanical problems: A sensor may provide incorrect measurements due to wear or damage. Regular maintenance and inspection are important in order to detect and rectify such problems.

It is important to note that while precipitation sensors are helpful, measurements should always be compared and verified with other data sources to obtain accurate and reliable results.

What role do precipitation sensors play in weather forecasting and how are their data used in the forecast models?

Precipitation sensors play an important role in weather forecasting as they can provide precise information on the amount and distribution of precipitation. This data is used in the forecast models to record current weather conditions and predict future developments.

The precipitation sensors detect precipitation in the form of rain, snow or hail. They can either be installed as individual sensors on the ground or form part of weather stations, satellites or aircraft. The sensors use various technologies such as tipping buckets, capacitance measurements or microwaves to accurately measure precipitation.

The data collected by the precipitation sensors is sent in real time to weather forecasting centers or meteorological institutes. There they are combined with other meteorological data such as temperature, air pressure, wind speed and humidity. Mathematical models and algorithms are then used to create forecast models to predict future weather.

The precipitation sensors provide important information about the current intensity, quantity and distribution of precipitation. This data is used to analyze the behavior of clouds and precipitation areas and to track their movement. This enables the forecast models to predict the development of weather fronts, thunderstorms, snowstorms and other weather events.

The accuracy of the precipitation sensors is crucial for the quality of the weather forecast. The sensors are therefore regularly calibrated and checked to ensure that they provide accurate measurements. The data from the precipitation sensors is also compared with other sources such as radar data and satellite images in order to improve the reliability of the forecasts.

Overall, precipitation sensors play an important role in weather forecasting, as they provide precise information about precipitation. Your data is used in the forecast models to record the current weather and predict future developments. This enables people to prepare for impending weather events and take appropriate measures.

How are precipitation sensors used in agriculture and how can they help to make irrigation systems more efficient?

Precipitation sensors are used in agriculture to measure precipitation and provide information about the current water supply. These sensors can be used in various ways to make irrigation systems more efficient.

1. measurement of precipitation: Precipitation sensors measure the amount of precipitation that falls on a particular field or area. This information is then used to determine whether and how much additional water needs to be supplied by irrigation systems.

2. Irrigation control: The information from the precipitation sensors can be used to automatically control irrigation systems. For example, if sufficient precipitation is measured, the irrigation system can be switched off temporarily to prevent overwatering.

3. Calculate water requirement: By combining precipitation data with other factors such as soil moisture, plant requirements and evaporation, the water requirements of a particular plant or field can be calculated. In this way, irrigation systems can be used in a targeted manner to meet demand and use water resources more efficiently.

4. Avoidance of overwatering: The use of precipitation sensors can prevent fields or plants from being over-watered. Over-irrigation can lead to soil erosion, nutrient loss and other negative effects. Precise measurement of precipitation enables irrigation to be optimized and water to be saved.

Overall, precipitation sensors in agriculture help to make irrigation systems more efficient by measuring precipitation, enabling irrigation control, calculating water requirements and avoiding over-irrigation. By making optimal use of water resources, farmers can reduce costs and minimize environmental impact.

What challenges exist in the development and implementation of precipitation sensors and how are these addressed?

There are various challenges that need to be addressed in the development and implementation of precipitation sensors. Some of these challenges are:

1. Accuracy: Precipitation sensors must be able to measure precipitation accurately. This can be difficult as precipitation can take the form of rain, snow or hail and has different attributes. To improve accuracy, different sensors can be combined or algorithms can be used to correct the measured values.

2. Reliability: Precipitation sensors must function reliably over a long period of time in order to provide continuous measurement data. This requires a robust design and the use of durable materials. The sensors must also be protected against environmental influences such as moisture and temperature fluctuations.

3. Calibration: Precipitation sensors must be calibrated regularly in order to obtain accurate measured values. This can be done by comparison with reference measurements or by using calibration standards. Ideally, it should be possible to carry out the calibration on site to allow for possible deviations due to site conditions.

4. Site selection: The correct choice of location for the installation of precipitation sensors is crucial for accurate measurements. The sensors should be protected from obstacles such as buildings or trees and installed at a height that is representative of the precipitation in the surrounding area. In addition, different locations should be compared with each other in order to take into account possible local differences in precipitation patterns.

5. Data integration and analysis: The measurement data collected by the precipitation sensors must be integrated into a system in order to analyze and use it. Challenges such as data transmission, storage and processing can arise. In addition, algorithms must be developed to derive relevant information from the measurement data, e.g. to predict heavy rainfall events or to monitor water resources.

Various approaches are being pursued to address these challenges. This includes the continuous development of sensor technology, cooperation between research institutions, industry and authorities to work together on solutions, and the use of standards and guidelines for the development and implementation of precipitation sensors. In addition, regular calibrations and quality controls play an important role in ensuring the accuracy and reliability of the measurements.
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