CN115638718A - An operating environment detection system for displacement detection devices based on big data - Google Patents

Abstract

The invention discloses a big data based displacement detection device operation environment detection system, particularly relates to the field of environment detection, and is used for solving the problem that the environment temperature of the existing eddy current displacement sensor is regulated at one time according to the self data of a detected conductor, and the targeted real-time tracking and monitoring is not carried out, so that the change of the environment temperature cannot be found in time; the invention judges whether the stability of the environment temperature change meets the requirement of accurate detection of the eddy current displacement sensor by continuously collecting the environment temperature, prompts and alarms the condition that the environment temperature change does not meet the requirement, and avoids the measurement error of the eddy current displacement sensor by finding the environment temperature change.

Description

An operating environment detection system for displacement detection devices based on big data

technical field

The present invention relates to the technical field of environmental detection, and more specifically, the present invention relates to a large data-based operating environment detection system for a displacement detection device.

Background technique

Displacement is the most basic parameter in mechanical quantity, and it is also an intermediate variable of many physical quantities in testing technology, so displacement detection is very important. Eddy current displacement sensor is a non-contact linear measurement tool, which can accurately measure the measured object and the end face of the probe. The relative position of the sensor, the sensor has good reliability, high sensitivity, strong anti-interference ability, and can accurately analyze the working condition of the equipment and the cause of the failure. Real-time monitoring of parameters such as speed;

Moreover, the eddy current displacement sensor also has strong temperature sensitivity, but the change of the ambient temperature will cause the output result of the sensor to drift, thereby causing test errors, and it is difficult to meet the measurement requirements of high precision and high stability; the existing eddy current displacement sensor has The ambient temperature adjustment is usually a one-time adjustment of the ambient temperature based on the measured conductor’s own data, without targeted real-time tracking and monitoring, resulting in the inability to detect changes in the ambient temperature in time, thereby affecting the precise monitoring of the eddy current displacement sensor;

In view of the above problems, the present invention proposes a technical solution.

Contents of the invention

In order to overcome the above-mentioned defects of the prior art, the embodiment of the present invention provides a displacement detection device operating environment detection system based on big data, which determines whether it is greatly affected by temperature according to the thermal conductivity of the measured conductor itself. When the impact is large, the ambient temperature is continuously collected to determine whether the stability of the ambient temperature change meets the precise detection requirements of the eddy current displacement sensor, and a prompt and alarm is given for the situation that does not meet the requirements, so as to solve the problems raised in the above background technology .

To achieve the above object, the present invention provides the following technical solutions:

A big data-based operating environment detection system for a displacement detection device, including a processor, a data acquisition module, a temperature analysis module, an environment feedback module, and a display terminal;

The processor sends a data acquisition signal to the data acquisition module, and the data acquisition module acquires the heat conduction information of the conductor measured by the eddy current displacement sensor and the ambient temperature information of the eddy current displacement sensor, and sends the ambient temperature information of the eddy current displacement sensor to To the temperature analysis module and the environmental feedback module for further analysis and processing;

The temperature analysis module analyzes and judges the stability of the ambient temperature according to the information sent by the data acquisition module, and sends the stability result of the ambient temperature to the display terminal, and the display terminal displays accordingly;

The environmental feedback module analyzes and judges the trend of the ambient temperature according to the information sent by the data acquisition module, and generates a temperature alarm signal according to the trend of the ambient temperature and sends it to the display terminal for corresponding display.

In a preferred embodiment, the self-thermal conductivity information of the conductor measured by the eddy current displacement sensor includes the thermal conductivity of the conductor under test and the equivalent resistance value of the conductor under test; The equivalent resistance value determines whether the measured conductor is affected by temperature, and determines the current temperature output voltage compensation value.

In a preferred embodiment, when the data acquisition module collects the ambient temperature, the ambient temperature detection time is set, and the ambient temperature detection time is divided into i time periods, where i is a natural number greater than 1, and each detection time period is electrical The complete measurement time of the eddy current displacement sensor collects the number and frequency of ambient temperature changes in each time period, and marks the number and frequency of ambient temperature changes in each time period as C and P respectively; the ambient temperature fluctuations in each time period are collected, The ambient temperature floating value in each time period is marked as F, and the data acquisition module sends the obtained environmental temperature change times and frequencies and the ambient temperature floating value in each time period to the temperature analysis module for further analysis and processing.

In a preferred embodiment, the data acquisition module acquires the size of the ambient temperature T in real time, and calibrates the acquisition time as t, and the data acquisition module sends the collected environmental temperature information and acquisition time information to the environmental feedback module, and the environmental temperature is calibrated. Further analysis and processing.

In a preferred embodiment, the specific process of the stability analysis of the temperature analysis module to the ambient temperature is as follows:

The temperature analysis module calibrates the stability coefficient of the ambient temperature in each time period as E, and according to the formula:

E=β(b ₁ C+b ₂ P+b ₃ F)

Obtain the stability coefficient E of the ambient temperature in each time period, where b1, b2, and b3 are preset proportional coefficients, and b1>b2>b3>0, and β is an error correction factor;

After the temperature analysis module obtains the stability coefficient E of the acquisition time, it compares it with the stability coefficient threshold: if the stability coefficient E of the ambient temperature of the time period ≥ the stability coefficient threshold, the corresponding time period is marked as an unstable time period; if the time period If the stability coefficient E of the ambient temperature < the stability coefficient threshold, the corresponding time period is marked as a stable time period; if the number of stable time periods is greater than the unstable time period, it is determined that the result measured by the eddy current displacement sensor is invalid at this time, and it needs to be repeated. Otherwise, it means that the error is within a reasonable range and the measurement result is valid; the temperature analysis module sends the analysis result to the display terminal, and the display terminal displays it accordingly.

In a preferred embodiment, the specific process of the trend analysis of the environmental temperature by the environmental feedback module is as follows:

The environmental feedback module takes the time t as the x-axis and the ambient temperature T as the y-axis to make a collection time-environmental temperature curve, record the ambient temperature value on the time-environmental temperature curve as Tn, mark the compensation temperature as T0, and record the time-environmental temperature The ambient temperature value on the ambient temperature curve and the compensation temperature T0 are sequentially differenced, and the difference analysis is carried out; the specific analysis process is as follows:

Mark the time-environmental temperature curve as f(t), and set the trend function as g(t), g(t)=f(t)-T0, set the influence time interval as I, and the influence time interval I as the continuous acquisition time interval;

If the derivative of the trend function g(t) is greater than 0 or less than 0 within the I time range, the environmental feedback module generates a temperature deviation signal and sends it to the display terminal, and the display terminal performs corresponding feedback alarms according to the received information .

The technical effects and advantages of the operating environment detection system of a displacement detection device based on big data in the present invention:

The present invention determines whether the measured conductor is greatly affected by the temperature according to its own thermal conductivity, and when it is greatly affected by the temperature, the ambient temperature is continuously collected to determine whether the stability of the ambient temperature change conforms to the accuracy of the eddy current displacement sensor. Detection needs, and prompts and alarms for situations that do not meet the requirements, so that the ambient temperature change can be detected in time, and the measurement error of the eddy current displacement sensor can be avoided;

At the same time, the present invention can adjust the ambient temperature in time according to the real-time variation trend of the ambient temperature to ensure the measurement accuracy of the eddy current displacement sensor.

Description of drawings

Fig. 1 is a schematic structural diagram of an operating environment detection system of a displacement detection device based on big data according to the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

It should be understood that "system", "device", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts, parts or assemblies of different levels. However, the words may be replaced by other expressions if other words can achieve the same purpose.

As indicated in the specification and claims, the terms "a", "an", "an" and/or "the" are not specific to the singular and may include the plural unless the context clearly indicates an exception. Generally speaking, the terms "comprising" and "comprising" only suggest the inclusion of clearly identified steps and elements, and these steps and elements do not constitute an exclusive list, and the method or device may also contain other steps or elements.

Example 1

The operating environment detection system of a displacement detection device based on big data of the present invention firstly determines whether the measured conductor is greatly affected by temperature according to its own thermal conductivity, and when it is greatly affected by temperature, continuously collects the ambient temperature, Judging whether the temperature change trend meets the precise detection requirements of the eddy current displacement sensor, and prompting and alarming the situation that does not meet the requirements, can detect the change of the ambient temperature in time, and avoid the measurement error of the eddy current displacement sensor.

Specifically, FIG. 1 is a schematic structural diagram of a big data-based operating environment detection system for a displacement detection device shown in some embodiments of this specification.

The system includes processor, data acquisition module, temperature analysis module, environment feedback module and display terminal.

The data acquisition module is used to collect the heat conduction information of the conductor measured by the eddy current displacement sensor and the ambient temperature information of the eddy current displacement sensor.

The thermal conductivity information of the measured conductor includes the thermal conductivity of the measured conductor and the equivalent resistance value of the measured conductor. The thermal conductivity of the conductor is calibrated as thermal conductivity data, and the thermal conductivity data is quantified, and the value of the thermal conductivity data is extracted and calibrated. is the thermal conductivity value λ. Compare the heat conduction value λ of the conductor under test with the heat conduction threshold value, if the heat conduction value λ is less than the heat conduction threshold value, it means that the heat conduction performance of the conductor under test is poor, that is, it is less affected by the temperature, and the ambient temperature is not further monitored at this time, When the heat conduction value λ is greater than the heat conduction threshold, further analysis is performed on the equivalent resistance value of the measured conductor. The specific analysis process is as follows:

Due to the given temperature range, the influence of temperature on resistivity is as follows:

为t₀时的电阻率，ρ为t₁时的电阻率，α为在给定温度范围内的电阻温度系数。则将被测导体的等效电阻值标定为R₀，根据公式获得R₀，具体公式如下：In the formula,

is the resistivity at t ₀ , ρ is the resistivity at t ₁ , and α is the temperature coefficient of resistance within a given temperature range. Then the equivalent resistance value of the conductor under test is calibrated as R ₀ , and R ₀ is obtained according to the formula, the specific formula is as follows:

R ₀ =ρ ^l /S

In the formula, l is the equivalent length of the conductor under test, and S is the equivalent cross-sectional area of the conductor under test.

Compare the equivalent resistance value R ₀ of the conductor under test with the critical equivalent resistance value R* of the conductor under test. If R ₀ < R*, the output voltage of the eddy current displacement sensor decreases with the increase of the ambient temperature; The output voltage of the eddy current displacement sensor increases with the increase of the ambient temperature.

It should be noted that the specific value of the critical equivalent resistance value R* of the measured conductor can be obtained by _deriving the equivalent resistance value R in the quality factor calculation formula based on the principle of electromagnetic coupling. repeat.

The ambient temperature information of the eddy current displacement sensor refers to the size of the ambient temperature. Due to the different properties of the measured conductors, changes in the ambient temperature may be positively or negatively correlated with the output voltage of the eddy current displacement sensor, resulting in inaccurate measurement. Therefore, it is usually necessary to perform ambient temperature compensation for the displacement measurement at a certain ambient temperature to ensure the accuracy of the measurement. The ambient temperature compensation value is calibrated as K, which can be obtained by the following formula:

K＝a ₁ (R ^* -R ₀ )

In the formula, a ₁ is the preset proportional coefficient of the equivalent resistance deviation, and a ₁ >0, when R ₀ <R*, since the output voltage decreases with the increase of the ambient temperature, the actual output voltage value needs to be consistent with the ambient temperature Addition of temperature compensation values makes the measurement more accurate. Conversely, when R ₀ >R*, the ambient temperature compensation value K is negative, and at this time, comparing it with the actual output voltage value can also make the measured value more accurate.

Therefore, when the thermal conductivity value λ of the measured conductor is greater than the thermal conductivity threshold, it is only necessary to ensure the stability of the ambient temperature to obtain more accurate measurement results.

The data acquisition module calibrates the collected ambient temperature information as T, and sends the ambient temperature T to the temperature monitoring module for real-time monitoring of the ambient temperature.

When the data acquisition module collects the ambient temperature, the ambient temperature detection time is set, and the ambient temperature detection time is divided into i time periods, i is a natural number greater than 1, and each detection time period is the complete measurement time of the eddy current displacement sensor. Collect the number and frequency of environmental temperature changes in each time period, and mark the number and frequency of environmental temperature changes in each time period as C and P respectively; collect the floating values of ambient temperature in each time period, and record the ambient temperature in each time period Floating values are marked F. The data acquisition module sends the acquired ambient temperature change times and frequencies as well as the ambient temperature fluctuations in each time period to the temperature analysis module for further analysis and processing.

The temperature analysis module passes the formula:

E=β(b ₁ C+b ₂ P+b ₃ F)

Obtain the stability coefficient E of the ambient temperature in each time period, where b1, b2, and b3 are preset proportional coefficients, and b1>b2>b3>0, β is the error correction factor with a value of 1.03, and the stability coefficient is the The parameters of each time period are normalized to obtain a value used to evaluate the stability of the ambient temperature within the detection time of the ambient temperature; through the formula, the greater the number and frequency of ambient temperature changes and the floating value of the ambient temperature, the greater the stability coefficient , indicating that the ambient temperature stability is worse within the ambient temperature detection time. That is, the degree of deviation between the ambient temperature and the compensation temperature within the monitoring period. When E is larger, it means that the degree of deviation is greater, and at this time the error of the result measured by the eddy current displacement sensor is greater.

After the temperature analysis module obtains the stability coefficient E of the acquisition time, it compares it with the stability coefficient threshold: if the stability coefficient E of the ambient temperature of the time period ≥ the stability coefficient threshold, the corresponding time period is marked as an unstable time period; if the time period If the stability coefficient E of the ambient temperature is less than the threshold value of the stability coefficient, the corresponding time period will be marked as a stable time period; Re-measure, otherwise, it means that the error is within a reasonable range and the measurement result is valid. The temperature analysis module sends the analysis results to the display terminal. The display terminal performs corresponding display.

It should be noted that the above-mentioned data collection module collects the ambient temperature at the same time as the measurement time of the eddy current displacement sensor, so it can accurately reflect the measurement status of the eddy current displacement sensor.

Example 2

The difference between Embodiment 2 of the present invention and the above-mentioned Embodiment 1 is that the above-mentioned Embodiment 1 judges whether the error is still relatively large after temperature compensation is performed on the measurement results of the eddy current displacement sensor by analyzing the stability of the ambient temperature.

However, the above-mentioned embodiment only conducts an overall analysis of the ambient temperature during the measurement period of the eddy current displacement sensor, and the results can only reflect the quality of the measurement results of the eddy current displacement sensor, and cannot ensure that the ambient temperature is adjusted in time. Measurement accuracy of eddy current displacement sensors.

Therefore, in this embodiment, when the data acquisition module collects the ambient temperature, within a detection time period, the size of the ambient temperature T is obtained in real time, and the collection time is calibrated as t, and the data acquisition module combines the collected ambient temperature information with The collected time information is sent to the environmental feedback module for further analysis and processing of the ambient temperature.

The environmental feedback module takes the time t as the x-axis and the ambient temperature T as the y-axis to make a collection time-environmental temperature curve, record the ambient temperature value on the time-environmental temperature curve as Tn, mark the compensation temperature as T0, and record the time-environmental temperature The ambient temperature value on the ambient temperature curve and the compensation temperature T0 are sequentially differenced, and the difference analysis is carried out. The specific analysis process is as follows:

Mark the time-environmental temperature curve as f(t), and set the trend function as g(t), g(t)=f(t)-T0, set the influence time interval as I, and the influence time interval I as the continuous acquisition time interval, when the trend function g(t) is a monotone function within the I time interval, it means that the ambient temperature is gradually deviating from the compensation temperature at this time, and has a continuous deviation trend, which may be gradually increasing or gradually decreasing. When , it is necessary to issue an alarm to adjust the ambient temperature so that it returns to the vicinity of the compensation temperature to ensure the accuracy of the eddy current displacement sensor measurement.

That is, if the derivative of the trend function g(t) is greater than 0 or less than 0 within the I time range, the environmental feedback module generates a temperature deviation signal and sends it to the display terminal, and the display terminal performs corresponding feedback according to the received information An alarm will prompt the relevant staff to further adjust the ambient temperature to ensure the measurement accuracy of the eddy current displacement sensor.

It should be noted that the influence time interval I can be selected according to actual needs, and details are not described here.

Therefore, the present invention can adjust the ambient temperature in time according to the real-time change trend of the ambient temperature to ensure the measurement accuracy of the eddy current displacement sensor.

The above-mentioned formulas are all numerical calculations without dimensions. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the latest real situation. The preset parameters in the formula are set by those skilled in the art according to the actual situation.

The above is only a specific implementation of the application, but the scope of protection of the application is not limited thereto. Anyone familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the application. Should be covered within the protection scope of this application. Therefore, the protection scope of the present application should be determined by the protection scope of the claims.

Claims (6)

1. A displacement detection device operating environment detection system based on big data, characterized in that: comprising a processor, a data acquisition module, a temperature analysis module, an environmental feedback module and a display terminal; The processor sends a data acquisition signal to the data acquisition module, and the data acquisition module acquires the heat conduction information of the conductor measured by the eddy current displacement sensor and the ambient temperature information of the eddy current displacement sensor, and sends the ambient temperature information of the eddy current displacement sensor to To the temperature analysis module and the environmental feedback module for further analysis and processing; The temperature analysis module analyzes and judges the stability of the ambient temperature according to the information sent by the data acquisition module, and sends the stability result of the ambient temperature to the display terminal, and the display terminal displays accordingly; The environmental feedback module analyzes and judges the trend of the ambient temperature according to the information sent by the data acquisition module, and generates a temperature alarm signal according to the trend of the ambient temperature and sends it to the display terminal for corresponding display. 2. The operating environment detection system of a displacement detection device based on big data according to claim 1, wherein the thermal conductivity information of the conductor measured by the eddy current displacement sensor includes the thermal conductivity of the conductor under test and the temperature of the conductor under test, etc. The effective resistance value; the data acquisition module determines whether the measured conductor is affected by temperature according to the thermal conductivity of the measured conductor and the equivalent resistance value of the measured conductor, and determines the current temperature output voltage compensation value. 3. a kind of displacement detection device operating environment detection system based on big data according to claim 1 is characterized in that: when the data acquisition module collects ambient temperature, the ambient temperature detection time is set, and the ambient temperature detection time is divided into i time period, i is a natural number greater than 1, each detection time period is the complete measurement time of the eddy current displacement sensor, collect the number and frequency of environmental temperature changes in each time period, and compare the number of changes and the frequency of environmental temperature changes in each time period The frequencies are marked as C and P respectively; the ambient temperature floating values in each time period are collected, and the ambient temperature floating values in each time period are marked as F, and the data acquisition module will obtain the number and frequency of changes in the ambient temperature and each time period The floating value of the internal environment temperature is sent to the temperature analysis module for further analysis and processing. 4. a kind of displacement detection device operating environment detection system based on big data according to claim 1 is characterized in that: the data acquisition module obtains the size of ambient temperature T in real time, and the acquisition time is demarcated as t, and the data acquisition module will The collected ambient temperature information and collection time information are sent to the environmental feedback module for further analysis and processing of the ambient temperature. 5. A kind of displacement detection device operating environment detection system based on big data according to claim 3, is characterized in that: the specific process of the stability analysis of temperature analysis module to ambient temperature is as follows: The temperature analysis module calibrates the stability coefficient of the ambient temperature in each time period as E, and according to the formula: E=β(b ₁ C+b ₂ P+b ₃ F) Obtain the stability coefficient E of the ambient temperature in each time period, where b1, b2, and b3 are preset proportional coefficients, and b1>b2>b3>0, and β is an error correction factor; After the temperature analysis module obtains the stability coefficient E of the acquisition time, it compares it with the stability coefficient threshold: if the stability coefficient E of the ambient temperature of the time period ≥ the stability coefficient threshold, the corresponding time period is marked as an unstable time period; if the time period If the stability coefficient E of the ambient temperature < the stability coefficient threshold, the corresponding time period is marked as a stable time period; if the number of stable time periods is greater than the unstable time period, it is determined that the result measured by the eddy current displacement sensor is invalid at this time, and it needs to be repeated. Otherwise, it means that the error is within a reasonable range and the measurement result is valid; the temperature analysis module sends the analysis result to the display terminal, and the display terminal displays it accordingly. 6. A kind of displacement detection device operating environment detection system based on big data according to claim 4, is characterized in that: the environmental feedback module is to the trend analysis specific process of ambient temperature as follows: The environmental feedback module takes the time t as the x-axis and the ambient temperature T as the y-axis to make a collection time-environmental temperature curve, record the ambient temperature value on the time-environmental temperature curve as Tn, mark the compensation temperature as T0, and record the time-environmental temperature The ambient temperature value on the ambient temperature curve and the compensation temperature T0 are sequentially differenced, and the difference analysis is carried out; the specific analysis process is as follows: Mark the time-environmental temperature curve as f(t), and set the trend function as g(t), g(t)=f(t)-T0, set the influence time interval as I, and the influence time interval I as the continuous acquisition time interval; If the derivative of the trend function g(t) is greater than 0 or less than 0 within the I time range, the environmental feedback module generates a temperature deviation signal and sends it to the display terminal, and the display terminal performs corresponding feedback alarms according to the received information .

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