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Data stability enhancement method based on sensor usage

A sensor and stability technology, applied in the field of sensor data processing, can solve the problems of dynamic lag, unmeasured situation adjustment, poor dynamic performance, etc., to overcome data lag, achieve fast response, and improve repeatability and stability.

Active Publication Date: 2018-07-10
SHANGHAI LANBAO SENSING TECH
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Problems solved by technology

However, the Kalman coefficient is not easy to change after convergence, and the real-time measurement situation cannot be adjusted in time, the dynamic performance is poor, and there is a serious dynamic lag

Method used

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  • Data stability enhancement method based on sensor usage
  • Data stability enhancement method based on sensor usage
  • Data stability enhancement method based on sensor usage

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Embodiment Construction

[0056] The following is a detailed description of the embodiments of the present invention. This embodiment is carried out based on the technical solution of the present invention, and provides detailed implementation methods and specific operation processes.

[0057] Such as figure 1 As shown, the data obtained by the sensor test approximately obeys the Gaussian distribution law, most of the data is in the area close to the center (±3δ), the probability of the data falling in this area is as high as 99%, and only 1% of the data falls in the area away from the center. And this 1% data may make the repetition accuracy more than doubled.

[0058] Take the average value of the test distance of 5 points as the position of the center line. The difference between the maximum value minus the minimum value in the test data is the extreme difference. The measurement data of the sensor has a corresponding degree of reliability. This degree of reliability is the same as the data measured...

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Abstract

The invention provides a data stability enhancement method based on sensor usage. The method comprises the following steps: acquiring test data of a sensor, and calculating a center line and a range of the test data; calculating a difference between each measured value and the center line, and estimating a position of each measured value within the range; calculating a position probability factorand replacing a Kalman filter coefficient with the position probability factor to obtain an improved filter algorithm; calculating the output distance with a static filtering algorithm according to different interval ranges of the position probability factor when the data is stable; in case of data mutation, processing the test data with a mutation algorithm; adopting a dynamic continuous and slowly changing algorithm when test target parameters change continuously and slowly. Repeatability and stability of measurement data are improved, dynamic intelligent adjustment of the static filtering algorithm is realized, the dynamic response algorithm of mutation and continuous slow change is added, and rapid response of the sensor measurement environment under the conditions of abruption and continuous change is realized.

Description

technical field [0001] The invention relates to the field of sensor data processing, in particular to a method for enhancing data stability based on sensor usage. Background technique [0002] In recent years, the development of sensors has advanced by leaps and bounds, and the requirements for the stability and repeatability of sensors are also getting higher and higher. However, relying solely on the performance of the sensor's own sensitive components cannot meet people's needs. Therefore, various filtering algorithms have emerged one after another. The filtering algorithm can greatly improve the repeatability and stability of the sensor, but the better the filtering effect, the worse the dynamic response. However, the application occasions of the sensors are different, and many sensors will face detection. The complex changes of the environment have strong dynamic characteristics of the data. Therefore, while pursuing the stability of the sensor data, strict requirement...

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Application Information

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IPC IPC(8): G06F17/18G06F17/10G01D21/00
CPCG01D21/00G06F17/10G06F17/18
Inventor 许永童
Owner SHANGHAI LANBAO SENSING TECH
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