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Rika Sensor is a weather sensor manufacturer and environmental monitoring solution provider with 10+ years of industry experience.

Common problems and handling methods of agricultural meteorological stations

by:Rika Sensors     2021-09-28
Common problems and handling methods of agricultural meteorological stations
In recent years, with the development of smart agriculture, more and more agricultural plants have agrometeorological stations. The main function of agrometeorological stations is to monitor the meteorological elements in agricultural planting. Accurate monitoring of meteorological elements for agricultural planting provides reference data support for agricultural planting.

However, the agricultural meteorological station mainly relies on the acquisition of various information and data to obtain more accurate results. If the data is abnormal, the accuracy of the observation results will decrease. Therefore, it is extremely important to strengthen the monitoring of agricultural weather stations and deal with abnormal data in a timely manner. This article lists common problems for your reference.

Common problems and processing methods of agricultural meteorological stations

1. Wind speed data abnormalities and processing methods

Reasons for data abnormalities:

Problems with wind speed data are generally caused by carbon-carbon wind speed sensors. The polycarbonate wind speed sensor adopts a mechanical structure design and has rotating parts. Therefore, the lowest wind speed before monitoring is the starting condition. If the wind speed is lower than the starting value, the propeller or wind cup cannot be driven to rotate, and the monitoring cannot be performed. In areas with slow wind speeds, the wind speed may be zero.

Processing method:

1. Because the mechanical structure of the polycarbonate wind speed and direction sensor is unavoidable, there will be deviations. When using the polycarbonate wind speed and direction sensor, it is necessary to check whether the local wind speed is below the minimum wind speed for a long time. Try to apply it in windy scenes to reduce errors. In addition, the polycarbon wind speed sensor is cleaned regularly to prevent dust from entering and increasing the coefficient of friction.

2. Choose to install an ultrasonic wind speed and direction sensor. The advantage of the ultrasonic sensor is: ultrasonic detection of wind speed does not start wind speed, even under zero wind speed conditions, it can work, and it requires two devices to be different from mechanical wind speed and direction. Ultrasonic integrates two monitoring methods of wind speed and wind direction, and simultaneously detects and outputs at the same time.

2. Abnormal precipitation data and processing methods

Reasons for abnormal data:

Remaining rainwater: At present, the equipment commonly used for precipitation data monitoring is a tipping bucket rain gauge. The tipping bucket collects rainwater in the rain gauge. Part, but if there is a part of residual rainwater in the tipping bucket, there will be a small amount of deviation in the precipitation data.

Abnormal precipitation data caused by instrument failure: Because the weather station works outdoors, it is inevitable that various failures will occur. Many failures will cause data abnormalities after they occur. For the abnormal data caused by the untimely maintenance of the instrument, the data file needs to be manually modified according to the precipitation situation at that time.

Data errors caused by errors in data compilation: In the process of using agricultural weather stations to observe precipitation conditions, in the data files and data encryption files obtained, the weather conditions displayed by the data must be consistent with the weather conditions at the time. If there is no precipitation in the actual weather but precipitation is displayed in the data file, then the data information needs to be modified according to the actual situation, and the abnormal data existing in the software should be deleted. If there is no precipitation in the process of data compilation, but precipitation begins to appear at the end of the compilation, it should be treated as micro precipitation at this time.

Handling and maintenance:

The rain gauge should be maintained once a month during use to prevent wind and sand and other factors from affecting the normal use. If you encounter a special environment, you can maintain it according to the actual situation.

Observe whether there is any dirt in the water bucket. If there is, clean up the dirt. In winter or when it does not rain for a long time, the sensor housing should be covered with plastic to prevent wind and sand from blocking the sensor water inlet.

Three, the instrument replacement remarks are wrong.

Some instruments need to be replaced after failures. According to relevant regulations, the replacement time shall be recorded in detail after the instrument is replaced. However, some personnel may have errors in the process of recording, so that some data abnormalities may occur in the actual use process.

The above are the methods of instrument maintenance and abnormal data processing of agricultural meteorological stations at this stage. Generally speaking, agricultural meteorological stations, as a relatively precise instrument, can easily cause The data is abnormal. Therefore, in the agricultural environment, it is necessary to strengthen the training of management personnel's relevant skills, to appraise the instruments in time, and to improve the efficiency of the use of agro-meteorological stations.

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