Compressor pneumatic gauge detection device and detection method

Abstract

The application discloses a kind of compressor pneumatic gauge detection device, including pneumatic gauge, and pneumatic gauge is provided with detection system, and detection system includes: measurement module, obtains the measurement subvalue in i time node;Analysis module obtains the measurement data set of measurement module, is constructed as the coordinate system of time node and measurement subvalue, measurement subvalue curve;Measurement subvalue curve is analyzed, and the inflection point of measurement subvalue curve is collected, and it is marked as measurement subvalue abnormal point respectively, and the measurement subvalue corresponding to measurement subvalue abnormal point is obtained;The measurement subvalue corresponding to all measurement subvalue abnormal points is added, and measurement abnormal value is obtained;The measurement abnormal value obtained is compared with measurement abnormal threshold value, the application is completed while detecting, and measurement data is analyzed and judged, not only whether data is reasonable normal is judged, but also the fault of pneumatic gauge is checked according to this, to improve the accuracy when checking.

Description

Technical Field

[0001] This invention relates to the field of compressor technology, and specifically to a compressor pneumatic measuring instrument testing device and testing method. Background Technology

[0002] Chinese patent CN110657764A discloses an electronic column pneumatic gauge, specifically relating to the field of pneumatic gauges. The gauge includes a pneumatic gauge body with a base at its bottom. Adsorption mechanisms are installed near the four corners of the base. The front surface of the gauge body has graduation marks, and a parameter setting button is located below these marks. A probe output connector is located below the parameter setting button. Protective plates are connected to both outer side walls of the gauge body. A socket is located on the rear surface of the gauge body, and an air inlet connector is located below the socket. The adsorption mechanisms include a metal tube fixedly connected to the inner wall of the base.

[0003] The existing technology mentioned above cannot analyze and judge whether the pneumatic gauge is malfunctioning based on the obtained measurement data while completing the test, thus failing to improve the accuracy of the test. Summary of the Invention

[0004] The purpose of this invention is to solve the problem that it is currently impossible to analyze and judge whether the pneumatic measuring instrument is malfunctioning based on the obtained measurement data while completing the test, thereby improving the accuracy of the test. Therefore, this invention proposes a compressor pneumatic measuring instrument testing device and testing method.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A compressor pneumatic measuring instrument testing device includes a pneumatic measuring instrument with a testing system. The testing system includes:

[0007] The measurement module obtains the measurement sub-values ​​within i time nodes and constructs a measurement data set A{Zc1, Zc2, ..., Zcn};

[0008] The measured value Zc is obtained by summing all subsets of the measured data set A and taking the average value. The measured value Zc is then read through the display unit.

[0009] The analysis module obtains the measurement data set A{Zc1, Zc2, ..., Zcn} from the measurement module.

[0010] A coordinate system is constructed with time nodes as the X-axis and measurement sub-values ​​as the Y-axis. The measurement sub-values ​​corresponding to each time node are then substituted into the coordinate system to construct the measurement sub-value curve.

[0011] The measurement sub-value curves are analyzed, the inflection points of the measurement sub-value curves are collected, and these inflection points are marked as measurement sub-value outliers. The measurement sub-values ​​corresponding to the measurement sub-value outliers are then obtained.

[0012] The measurement sub-values ​​corresponding to all measurement sub-value outliers are summed to obtain the measurement outlier value, which is then marked as Zcy.

[0013] The obtained measurement outlier Zcy is compared with the measurement outlier threshold.

[0014] As a further aspect of the present invention: if the measurement anomaly value Zcy is greater than the measurement anomaly threshold, then a measurement anomaly signal is generated;

[0015] If the abnormal measurement value Zcy is less than the abnormal measurement threshold, a normal measurement signal is generated.

[0016] As a further aspect of the present invention, it also includes a verification module;

[0017] When the verification module receives a measurement anomaly signal from the analysis module, it obtains the measurement sub-value curves of the time nodes and the measurement sub-value coordinate system in the analysis module, and then collects the slope corresponding to each time node in the measurement sub-value curves and marks it as Li;

[0018] The average slope Lp is obtained by summing the obtained slopes Li.

[0019] The obtained mean slope Lp is compared with its mean slope threshold.

[0020] As a further aspect of the present invention: if the average slope Lp is greater than the average slope threshold, it indicates that the measured value fluctuates greatly, and an abnormal signal of the pneumatic gauge is generated.

[0021] If the mean slope Lp is less than the mean slope threshold, the fluctuation of the generated measurement value is small, and a normal signal of the pneumatic gauge is generated.

[0022] As a further aspect of the present invention, it also includes a testing module;

[0023] The inspection module obtains the nozzle sealing degree Dm and the nozzle temperature value Zw.

[0024] Substitute the nozzle sealing degree Dm and the nozzle temperature Zw into the formula In the calculation, the nozzle working coefficient Xp is obtained; where a1 and a2 are both proportionality coefficients;

[0025] The obtained nozzle working coefficient Xp is compared with the working coefficient threshold.

[0026] As a further aspect of the present invention: if the nozzle working coefficient Xp is greater than the working coefficient threshold,

[0027] This will generate a nozzle abnormality signal;

[0028] If the nozzle working coefficient Xp is less than the working coefficient threshold, a normal nozzle signal is generated.

[0029] As a further aspect of the present invention, a fault determination module is also included.

[0030] The fault diagnosis module obtains the nozzle sealing rate change rate Dml and the nozzle temperature change rate Zwl within the detection period.

[0031] Compare the nozzle sealing rate change rate Dml with the standard nozzle sealing rate change rate;

[0032] The nozzle temperature change rate Zwl is compared with the standard nozzle temperature change rate.

[0033] As a further aspect of the present invention: if the nozzle sealing performance change rate Dml is greater than the standard nozzle sealing performance change rate, then a nozzle sealing performance poor signal is generated.

[0034] If the nozzle sealing change rate Dml is less than the standard nozzle sealing change rate, a good nozzle sealing signal is generated.

[0035] As a further aspect of the present invention: if the nozzle temperature change rate Zwl is greater than the standard nozzle temperature change rate, then an abnormal temperature difference change signal is generated.

[0036] If the nozzle temperature change rate Zwl is less than the standard nozzle temperature change rate, a normal temperature difference change signal will be generated.

[0037] A testing method for a compressor pneumatic measuring instrument testing device includes the following steps:

[0038] Step 1: Connect to the air source and obtain the measurement values ​​of the compressor;

[0039] Step 2: Acquire measurement data and analyze the data to determine the stability of the pneumatic gauge during measurement;

[0040] Step 3: When a measurement anomaly signal is received from the analysis module, the measurement sub-value curves of the time nodes and the measurement sub-value coordinate system in the analysis module are obtained. Then, the slope corresponding to each time node in the measurement sub-value curve is collected and marked as Li.

[0041] Step 4: Obtain the influence parameters of the nozzle when connected to the compressor air source, as well as the external environmental parameters during measurement. Analyze these influence parameters and environmental parameters to determine the abnormal signals of the pneumatic gauge during measurement.

[0042] Step 5: Receive the nozzle abnormality signal from the inspection module, and obtain the nozzle sealing degree Dm and nozzle temperature Zw. Perform separate comparative analysis on the nozzle sealing degree Dm and nozzle temperature Zw.

[0043] The beneficial effects of this invention are:

[0044] This invention incorporates a detection system on a pneumatic gauge to acquire the compressor's measured values, thereby completing the detection process. During the detection, the system analyzes the trend of the measured data to determine if the pneumatic gauge is functioning correctly. The system then verifies the judgment using the measured data. Furthermore, it acquires the influence parameters of the nozzle's connection to the compressor's air source, as well as the external environmental parameters during measurement. Analyzing these influence and environmental parameters helps determine if abnormal signals from the pneumatic gauge occur during measurement. The invention also receives nozzle abnormality signals from the inspection module and acquires the nozzle sealing degree Dm and nozzle temperature Zw. Finally, it performs separate comparative analysis of the nozzle sealing degree Dm and nozzle temperature Zw to identify potential malfunctions in the pneumatic gauge.

[0045] Therefore, the detection system of this invention analyzes and judges the measurement data while completing the detection, not only to determine whether the data is reasonable and normal, but also to check for faults in the pneumatic measuring instrument, thereby improving the accuracy of the inspection. Attached Figure Description

[0046] The invention will now be further described with reference to the accompanying drawings.

[0047] Figure 1 This is a system block diagram of the present invention. Detailed Implementation

[0048] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] Example 1

[0050] Please see Figure 1 As shown, the present invention is a compressor pneumatic measuring instrument testing device, including a pneumatic measuring instrument and a testing system provided on the pneumatic measuring instrument;

[0051] The detection system includes:

[0052] The measurement module is connected to the air source, obtains the measurement value of the compressor, and marks the measurement value as Zc;

[0053] The specific working process of this measurement module is as follows:

[0054] Step 1: Divide the measurement time into i equal time intervals, where i = 1, 2, ..., n, and n is a positive integer;

[0055] Step 2: Obtain the measurement sub-values ​​within the i time nodes and construct the measurement data set A{Zc1, Zc2, ..., Zcn};

[0056] Step 3: Sum all subsets of the measurement data set A, take the average value to obtain the measurement value Zc, and read the measurement value Zc through the display unit;

[0057] The analysis module acquires measurement data, analyzes the measurement data, and determines the stability of the pneumatic gauge during measurement.

[0058] The specific working process of this analysis module is as follows:

[0059] Step 1: Obtain the measurement data set A{Zc1, Zc2, ..., Zcn} from the measurement module.

[0060] Step 2: Construct a coordinate system with time nodes as the X-axis and measurement sub-values ​​as the Y-axis, and substitute the measurement sub-values ​​corresponding to each time node into the coordinate system to construct the measurement sub-value curve;

[0061] Step 3: Analyze the measurement sub-value curve, collect the inflection points of the measurement sub-value curve, mark them as measurement sub-value outliers, and obtain the measurement sub-values ​​corresponding to the measurement sub-value outliers;

[0062] Step 4: Sum the measurement sub-values ​​corresponding to all measurement sub-value anomalies to obtain the measurement anomaly value, and mark it as Zcy;

[0063] Step 5: Compare the obtained measurement anomaly value Zcy with the measurement anomaly threshold;

[0064] If the measurement anomaly value Zcy is greater than the measurement anomaly threshold, a measurement anomaly signal is generated;

[0065] If the abnormal measurement value Zcy is less than the abnormal measurement threshold, a normal measurement signal is generated.

[0066] When the verification module receives a measurement anomaly signal from the analysis module, it obtains the measurement sub-value curves of the time nodes and the measurement sub-value coordinate system in the analysis module, and then collects the slope corresponding to each time node in the measurement sub-value curves and marks it as Li;

[0067] The average slope Lp is obtained by summing the obtained slopes Li.

[0068] The obtained mean slope Lp is compared with its mean slope threshold;

[0069] If the mean slope Lp is greater than the mean slope threshold, it indicates that the measured value fluctuates greatly, generating an abnormal signal for the pneumatic gauge.

[0070] If the mean slope Lp is less than the mean slope threshold, the fluctuation of the generated measurement value is small, and a normal signal of the pneumatic gauge is generated.

[0071] The inspection module acquires the influence parameters of the nozzle when connected to the compressor air source, as well as the external environmental parameters during measurement, analyzes these influence parameters and environmental parameters, and judges the abnormal signals of the pneumatic gauge during measurement.

[0072] The specific working process of this inspection module is as follows:

[0073] Step 1: Obtain the nozzle sealing degree when the nozzle is connected to the compressor air source, and mark the nozzle sealing degree as Dm; and obtain the nozzle temperature value during measurement, and mark the nozzle temperature value as Zw;

[0074] Step 2: Substitute the nozzle sealing degree Dm and the nozzle temperature Zw into the formula. In the calculation, the nozzle working coefficient Xp is obtained; where a1 and a2 are both proportional coefficients, a1 is 1.63 and a2 is 1.05.

[0075] Step 3: Compare the obtained nozzle working coefficient Xp with the working coefficient threshold:

[0076] If the nozzle working coefficient Xp is greater than the working coefficient threshold, a nozzle abnormality signal will be generated.

[0077] If the nozzle working coefficient Xp is less than the working coefficient threshold, a normal nozzle signal is generated.

[0078] The fault diagnosis module receives the nozzle abnormality signal from the inspection module and obtains the nozzle sealing degree Dm and nozzle temperature Zw, and performs separate comparative analysis on the nozzle sealing degree Dm and nozzle temperature Zw.

[0079] The specific working process of this fault diagnosis module is as follows:

[0080] Step 1: Obtain the rate of change of nozzle sealing degree and the rate of change of nozzle temperature during the detection period, and label the rate of change of nozzle sealing degree as Dml and the rate of change of nozzle temperature as Zwl;

[0081] Step 2: Compare the nozzle sealing change rate Dml with the standard nozzle sealing change rate;

[0082] If the nozzle sealing rate change rate Dml is greater than the standard nozzle sealing rate change rate, a nozzle sealing poor signal is generated and marked as Mc.

[0083] If the nozzle sealing rate change rate Dml is less than the standard nozzle sealing rate change rate, a good nozzle sealing signal is generated and marked as Mh.

[0084] Step 3: Compare the nozzle temperature change rate Zwl with the standard nozzle temperature change rate;

[0085] If the nozzle temperature change rate Zwl is greater than the standard nozzle temperature change rate, an abnormal temperature difference signal is generated and marked as Wy.

[0086] If the nozzle temperature change rate Zwl is less than the standard nozzle temperature change rate, a normal temperature difference change signal is generated and marked as Wz.

[0087] The feedback module receives the nozzle sealing poor signal Mc, nozzle sealing good signal Mh, temperature difference abnormal signal Wy, and temperature difference normal signal Wz from the fault judgment module.

[0088] If both the nozzle sealing poor signal Mc and the temperature difference abnormality signal Wy are received simultaneously, the pneumatic gauge detection will be immediately interrupted and the pneumatic gauge will be repaired.

[0089] If both the nozzle sealing poor signal Mc and the temperature difference change normal signal Wz are received simultaneously, the pneumatic gauge detection is interrupted and the nozzle sealing is checked.

[0090] If both the nozzle sealing good signal Mh and the temperature difference abnormality signal Wy are received simultaneously, the ambient temperature during the pneumatic gauge detection will be adjusted.

[0091] If both the nozzle sealing good signal Mh and the temperature difference change normal signal Wz are received simultaneously, then troubleshoot other problems with the pneumatic gauge.

[0092] Example 2

[0093] Based on the above embodiment 1, the detection method of the compressor pneumatic measuring tool detection device of the present invention includes the following steps:

[0094] Step 1: Connect to the air source and obtain the measurement values ​​of the compressor;

[0095] Step 2: Acquire measurement data and analyze the data to determine the stability of the pneumatic gauge during measurement;

[0096] Step 3: When a measurement anomaly signal is received from the analysis module, the measurement sub-value curves of the time nodes and the measurement sub-value coordinate system in the analysis module are obtained. Then, the slope corresponding to each time node in the measurement sub-value curve is collected and marked as Li.

[0097] Step 4: Obtain the influence parameters of the nozzle when connected to the compressor air source, as well as the external environmental parameters during measurement. Analyze these influence parameters and environmental parameters to determine the abnormal signals of the pneumatic gauge during measurement.

[0098] Step 5: Receive the nozzle abnormality signal from the inspection module, and obtain the nozzle sealing degree Dm and nozzle temperature Zw. Perform separate comparative analysis on the nozzle sealing degree Dm and nozzle temperature Zw.

[0099] Step 6: Feedback module receives nozzle poor sealing signal Mc, nozzle good sealing signal Mh, abnormal temperature difference signal Wy, and normal temperature difference signal Wz from the fault judgment module;

[0100] If both the nozzle sealing poor signal Mc and the temperature difference abnormality signal Wy are received simultaneously, the pneumatic gauge detection will be immediately interrupted and the pneumatic gauge will be repaired.

[0101] If both the nozzle sealing poor signal Mc and the temperature difference change normal signal Wz are received simultaneously, the pneumatic gauge detection is interrupted and the nozzle sealing is checked.

[0102] If both the nozzle sealing good signal Mh and the temperature difference abnormality signal Wy are received simultaneously, the ambient temperature during the pneumatic gauge detection will be adjusted.

[0103] If both the nozzle sealing good signal Mh and the temperature difference change normal signal Wz are received simultaneously, then troubleshoot other problems with the pneumatic gauge.

[0104] The working principle of this invention is as follows: Compressed air from the air source is filtered and then enters the pressure regulator through the inlet valve. The pressure in the subsequent air path of the pressure regulator is stabilized at pc. The compressed air at pressure cp flows through the throttling orifice to the probe (usually a nozzle-baffle mechanism) and then flows into the atmosphere from the probe. The pressure px of the airflow in the pipe section between the throttling orifice and the pneumatic probe is called the back pressure. When the probe is a nozzle-baffle, the back pressure px and the gap S between the nozzle-baffle have a one-to-one functional relationship. The magnitude of the measured parameter S can be obtained by reading the back pressure px value from the pressure indication section. The back pressure px can be converted into voltage or current by a sensor. By applying electronic and computer technologies, an intelligent pneumatic gauge integrating automatic data acquisition, automatic error compensation, computer display, and result printing can be designed.

[0105] Furthermore, a detection system is installed on the pneumatic gauge to acquire the measured values ​​of the compressor, thereby completing the detection work. During the detection process, the trend of the measurement data is analyzed to determine whether the pneumatic gauge is normal. The judgment is then verified by the measurement data. Then, the influence parameters of the nozzle when connected to the compressor air source and the external environmental parameters during the measurement are acquired. The influence parameters and environmental parameters are analyzed to determine the abnormal signals of the pneumatic gauge during the measurement. The abnormal nozzle signal from the inspection module is received, and the nozzle sealing degree Dm and nozzle temperature Zw are acquired. The nozzle sealing degree Dm and nozzle temperature Zw are compared and analyzed separately to determine the problem of the pneumatic gauge failure.

[0106] Therefore, the detection system of this invention analyzes and judges the measurement data while completing the detection, not only to determine whether the data is reasonable and normal, but also to check for faults in the pneumatic measuring instrument, thereby improving the accuracy of the inspection.

[0107] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A compressor pneumatic measuring instrument testing device, characterized in that, This includes a pneumatic measuring instrument, which is equipped with a detection system. The detection system includes: The measurement module obtains the measurement sub-values ​​within i time nodes and constructs a measurement data set A{Zc1, Zc2, ..., Zcn}; The measured value Zc is obtained by summing all subsets of the measured data set A and taking the average value. The measured value Zc is then read through the display unit. The analysis module obtains the measurement data set A{Zc1, Zc2, ..., Zcn} from the measurement module. A coordinate system is constructed with time nodes as the X-axis and measurement sub-values ​​as the Y-axis. The measurement sub-values ​​corresponding to each time node are then substituted into the coordinate system to construct the measurement sub-value curve. The measurement sub-value curves are analyzed, the inflection points of the measurement sub-value curves are collected, and these inflection points are marked as measurement sub-value outliers. The measurement sub-values ​​corresponding to the measurement sub-value outliers are then obtained. The measurement sub-values ​​corresponding to all measurement sub-value outliers are summed to obtain the measurement outlier value, which is then marked as Zcy. The obtained measurement anomaly value Zcy is compared with the measurement anomaly threshold; It also includes an inspection module; The inspection module obtains the nozzle sealing degree Dm; And the nozzle temperature value Zw; Substitute the nozzle sealing degree Dm and the nozzle temperature value Zw into the formula. In the calculation, the nozzle working coefficient Xp is obtained; where a1 and a2 are both proportionality coefficients; The obtained nozzle working coefficient Xp is compared with the working coefficient threshold. If the nozzle working coefficient Xp is greater than the working coefficient threshold, a nozzle abnormality signal will be generated. If the nozzle working coefficient Xp is less than the working coefficient threshold, a normal nozzle signal is generated. It also includes a fault diagnosis module: The fault diagnosis module obtains the nozzle sealing rate change rate Dml and the nozzle temperature change rate Zwl within the detection period. Compare the nozzle sealing rate change rate Dml with the standard nozzle sealing rate change rate; Compare the nozzle temperature change rate Zwl with the standard nozzle temperature change rate; If the nozzle sealing rate change rate Dml is greater than the standard nozzle sealing rate change rate, a poor nozzle sealing signal is generated; if the nozzle sealing rate change rate Dml is less than the standard nozzle sealing rate change rate, a good nozzle sealing signal is generated; if the nozzle temperature change rate Zwl is greater than the standard nozzle temperature change rate, an abnormal temperature difference signal is generated; if the nozzle temperature change rate Zwl is less than the standard nozzle temperature change rate, a normal temperature difference signal is generated. The feedback module receives nozzle sealing poor signal, nozzle sealing good signal, abnormal temperature difference signal, and normal temperature difference signal from the fault judgment module. If it receives both the nozzle sealing poor signal and the abnormal temperature difference signal simultaneously, it immediately interrupts the pneumatic gauge detection and performs maintenance on the pneumatic gauge. If it receives both the nozzle sealing poor signal and the normal temperature difference signal simultaneously, it interrupts the pneumatic gauge detection and checks the nozzle sealing. If it receives both the nozzle sealing good signal and the abnormal temperature difference signal simultaneously, it adjusts the ambient temperature during pneumatic gauge detection. If it receives both the nozzle sealing good signal and the normal temperature difference signal simultaneously, it troubleshoots other problems with the pneumatic gauge.

2. The compressor pneumatic measuring instrument testing device according to claim 1, characterized in that, If the measurement anomaly value Zcy is greater than the measurement anomaly threshold, a measurement anomaly signal is generated; If the abnormal measurement value Zcy is less than the abnormal measurement threshold, a normal measurement signal is generated.

3. The compressor pneumatic measuring instrument testing device according to claim 1, characterized in that, It also includes a verification module; When the verification module receives a measurement anomaly signal from the analysis module, it obtains the measurement sub-value curves of the time nodes and the measurement sub-value coordinate system in the analysis module, and then collects the slope corresponding to each time node in the measurement sub-value curves and marks it as Li; The average slope Lp is obtained by summing the obtained slopes Li. The obtained mean slope Lp is compared with its mean slope threshold.

4. A compressor pneumatic measuring instrument testing device according to claim 3, characterized in that, If the mean slope Lp is greater than the mean slope threshold, it indicates that the measured value fluctuates greatly, generating an abnormal signal for the pneumatic gauge. If the mean slope Lp is less than the mean slope threshold, the fluctuation of the generated measurement value is small, and a normal signal of the pneumatic gauge is generated.

5. A testing method for a compressor pneumatic measuring instrument testing device according to any one of claims 1-4, characterized in that, Includes the following steps: Step 1: Connect to the air source and obtain the measurement values ​​of the compressor; Step 2: Acquire measurement data and analyze the data to determine the stability of the pneumatic gauge during measurement; Step 3: When a measurement anomaly signal is received from the analysis module, the measurement sub-value curves of the time nodes and the measurement sub-value coordinate system in the analysis module are obtained. Then, the slope corresponding to each time node in the measurement sub-value curve is collected and marked as Li. Step 4: Obtain the influence parameters of the nozzle when connected to the compressor air source, as well as the external environmental parameters during measurement. Analyze these influence parameters and environmental parameters to determine the abnormal signals of the pneumatic gauge during measurement. Step 5: Receive the nozzle abnormality signal from the inspection module, and obtain the nozzle sealing degree Dm and the nozzle temperature value Zw. Perform separate comparative analysis on the nozzle sealing degree Dm and the nozzle temperature value Zw.

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