A flue gas duct inner wall oil fouling thickness monitoring system and method

Abstract

The present application belongs to the technical field of pipeline oil dirt thickness monitoring, and discloses a flue gas pipeline inner wall oil dirt thickness monitoring system, which comprises an ultrasonic emission device, an ultrasonic receiving device, a data processing device and an alarm device; the ultrasonic emission device is used for emitting ultrasonic waves to act on a to-be-measured flue gas pipeline; the ultrasonic receiving device is used for receiving reflected or refracted ultrasonic echo signals; the data processing device performs interpolation, correlation coefficient analysis or sufficient inversion on the echo signals to obtain the oil dirt thickness of the flue gas pipeline inner wall; and the alarm device is used for issuing an alarm. The present application utilizes ultrasonic waves to act on the to-be-measured flue gas pipeline to obtain echo signals, and through interpolation, correlation coefficient analysis or inversion on the echo signals, the real-time thickness of the oil dirt in the flue gas pipeline is obtained, and it is determined whether to further clean the oil dirt in the flue gas pipeline. The system can not only timely eliminate safety hazards, but also avoid cleaning blindness, avoid excessive cleaning and cause resource waste.

Description

Technical Field

[0001] This invention relates to the field of pipeline grease thickness monitoring technology, specifically to a system and method for monitoring the grease thickness on the inner wall of a flue gas pipeline. Background Technology

[0002] Flue gas ducts are consistently high-temperature, oily, and pose the greatest fire safety hazard. Therefore, real-time monitoring of flue gas ducts is necessary for early warning of fire hazards. However, existing oil fume monitoring systems or equipment only monitor the concentration of oil fumes in the ducts, issuing anomaly alerts when emissions exceed standards. In reality, due to the accumulation of oil fumes within the ducts, fire safety hazards still exist even under high-temperature conditions. Current solutions for oil fumes in flue gas ducts involve regular cleaning, but without effective detection methods, cleaning is often indiscriminate, leading to over-cleaning waste or the failure to promptly detect occasional fire hazards.

[0003] Ultrasound waves have shorter wavelengths than ordinary sound waves, exhibit better anisotropy, and can penetrate opaque materials, making them suitable for various inspections. The working principle of ultrasound inspection is to emit ultrasound waves into the object being inspected. When these waves encounter interfaces within the object, they are reflected and refracted. Furthermore, they may be absorbed and attenuated in various substances. The characteristics of the object are determined by observing the waveform, curve, or image characteristics displayed by the instrument after the waves have passed through it.

[0004] Chinese patent (patent publication number: CN105651215B) discloses a method for measuring coating thickness under conditions of unknown ultrasonic velocity, describing the application of ultrasound in the thickness measurement of layered media materials. However, there are no prior art reports on the application of ultrasound to detect the thickness of oil deposits inside flue gas ducts. Therefore, this invention applies ultrasound to flue gas ducts, oil films, or air, and obtains the thickness of oil deposits inside the flue gas duct by interpolating, analyzing correlation coefficients, or inverting the echo signals. The detected oil deposit data is then processed, uploaded, and analyzed, thus achieving the monitoring of oil deposit thickness inside flue gas ducts. Summary of the Invention

[0005] This invention aims to provide a system and method for monitoring the thickness of grease buildup on the inner wall of flue gas ducts. By applying ultrasonic waves to the flue gas duct, oil film, or air, the real-time thickness of the grease buildup inside the flue gas duct is obtained through interpolation, correlation coefficient analysis, or inversion of the echo signals. Based on this data, further cleaning of the grease buildup inside the flue gas duct can be performed. This approach can not only eliminate safety hazards in a timely manner but also avoid blind cleaning and over-cleaning, thus preventing waste.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A system for monitoring the thickness of grease buildup on the inner wall of a flue gas duct includes an ultrasonic transmitter, an ultrasonic receiver, a data processing unit, and an alarm device.

[0008] The ultrasonic generator is used to emit ultrasonic waves that act on the flue gas duct to be tested.

[0009] The ultrasonic receiving device is used to receive ultrasonic echo signals reflected or refracted by media such as the pipe wall, oil film, and air of the flue gas duct.

[0010] The data processing device is electrically connected to the ultrasonic receiving device. The data processing device performs interpolation, correlation coefficient analysis, or full inversion on the received ultrasonic echo signal to obtain the thickness of the oil stains on the inner wall of the flue gas duct.

[0011] The alarm device is electrically connected to the data processing device. The alarm device is equipped with an alarm threshold. When the data processing device detects that the thickness of the grease on the inner wall of the flue gas duct is greater than the alarm threshold, the alarm device will issue an alarm.

[0012] Furthermore, both the ultrasonic transmitting device and the ultrasonic receiving device are ultrasonic piezoelectric ceramic transducers, and the alarm device includes a user alarm module and a fire alarm module.

[0013] The above-mentioned method for monitoring the thickness of grease deposits on the inner wall of a flue gas duct using a flue gas duct inner wall thickness monitoring system includes the following steps:

[0014] S1. Utilizing the principle of generating ultrasonic waves using piezoelectric ceramics, the adhesion of the oil film will change the natural frequency f1 of the ultrasonic waves vibrating from the piezoelectric ceramic transducer. The ultrasonic piezoelectric ceramic transducer is placed on the inner wall of the flue gas duct, so that the oil film directly acts on the ultrasonic piezoelectric ceramic transducer.

[0015] S2. Again, the ultrasonic piezoelectric ceramic transducer is used to receive the real-time echo vibration frequency f2 and transmit it to the data processing device.

[0016] S3. The data processing device analyzes and fully inverts the echo vibration frequency f2 to obtain the oil stain thickness δ1 on the inner wall of the flue gas duct, and uploads the thickness δ1 to the alarm device; wherein, the thickness δ1 is inversely proportional to the echo vibration frequency f2.

[0017] S4. Determine the relationship between the thickness δ1 and the set alarm threshold δ0 within the alarm device. If δ1 < δ0, the alarm device will not issue an alarm; if δ1 ≥ δ0, the alarm device will issue an alarm.

[0018] The above-mentioned method for monitoring the thickness of grease deposits on the inner wall of a flue gas duct using a flue gas duct inner wall thickness monitoring system includes the following steps:

[0019] S1. The ultrasonic piezoelectric ceramic transducer is placed tightly against the outer wall of the flue gas duct. The ultrasonic piezoelectric ceramic transducer generates ultrasonic waves with a waveform of γ, which act on the outer wall of the flue gas duct, the oil film, and the air in sequence.

[0020] S2. The ultrasonic piezoelectric ceramic transducer receives three echo waveforms, γ1, γ2 and γ3, and transmits them to the data processing device.

[0021] S3. The data processing device performs interpolation, correlation coefficient analysis and full inversion on the echo waveforms with waveforms γ1, γ2 and γ3 to obtain the oil stain thickness δ2 on the inner wall of the flue gas duct, and uploads the thickness δ2 to the alarm device.

[0022] S4. Determine the relationship between the thickness δ2 and the set alarm threshold δ0 within the alarm device. If δ2 < δ0, the alarm device will not issue an alarm; if δ2 ≥ δ0, the alarm device will issue an alarm.

[0023] The above-mentioned method for monitoring the thickness of grease deposits on the inner wall of a flue gas duct using a flue gas duct inner wall thickness monitoring system includes the following steps:

[0024] S1. The ultrasonic piezoelectric ceramic transducer generates a sound wave at time t1. The ultrasonic wave passes through the oil film and reaches the interface between the oil film and the air, where it is reflected. After the ultrasonic signal passes through the oil film again, the ultrasonic piezoelectric ceramic transducer receives the returned sound wave at time t2. Then the oil film thickness d = sound velocity * (t2 - t1) / 2.

[0025] S2. The data processing device calculates the oil stain thickness δ3 on the inner wall of the flue gas duct based on the relationship between the time difference between time t2 and t1 and the wave velocity v, and uploads the thickness δ3 to the alarm device; wherein, the calculation model of thickness δ3 is: δ3=(t2-t1)v / 2;

[0026] S3. Determine the relationship between the thickness δ3 and the set alarm threshold δ0 within the alarm device. If δ3 < δ0, the alarm device will not issue an alarm; if δ3 ≥ δ0, the alarm device will issue an alarm.

[0027] The beneficial effects of the technical solution are:

[0028] This invention utilizes ultrasonic waves applied to flue gas ducts, oil films, or air to obtain different echo signals. By interpolating, analyzing correlation coefficients, or inverting the echo signals, the real-time thickness of the oil deposits inside the flue gas duct is obtained. Based on this data, it is determined whether further cleaning of the oil deposits inside the flue gas duct is necessary. This approach can eliminate safety hazards in a timely manner, avoid blind cleaning leading to over-cleaning, save a significant amount of manpower and resources, and reduce property losses caused by flue gas duct accidents. Attached Figure Description

[0029] Figure 1 This is a schematic diagram of the structure of a flue gas duct inner wall grease thickness monitoring system according to the present invention;

[0030] Figure 2 This is a cross-sectional view of a flue gas duct inner wall grease thickness monitoring system according to the present invention.

[0031] The names of the corresponding labels in the attached diagram are:

[0032] 1. Flue gas duct; 2. Ultrasonic piezoelectric ceramic transducer; 3. Data processing device; 4. Fire alarm module; 5. User alarm module; 6. Oil film; 7. Air. Detailed Implementation

[0033] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments:

[0034] like Figure 1 and Figure 2 As shown, a flue gas duct inner wall grease thickness monitoring system includes an ultrasonic transmitter, an ultrasonic receiver, a data processing device, and an alarm device.

[0035] Both the ultrasonic transmitting device and the ultrasonic receiving device are ultrasonic piezoelectric ceramic transducers 2, which are used to transmit and receive ultrasonic waves to act on the flue gas duct 1 under test.

[0036] The ultrasonic receiving device is used to receive ultrasonic echo signals reflected or refracted after passing through the pipe wall, oil film 6, air 7 and other media of flue gas duct 1.

[0037] The data processing device 3 is electrically connected to the ultrasonic receiving device. The data processing device 3 performs interpolation, correlation coefficient analysis or full inversion on the received ultrasonic echo signal to obtain the thickness of the oil stains on the inner wall of the flue gas duct 1.

[0038] The alarm device includes a user alarm module 5 and a fire alarm module 4. The alarm device is electrically connected to the data processing device 3. The alarm device is equipped with an alarm threshold. When the data processing device 3 detects that the thickness of the grease on the inner wall of the flue gas duct 1 is greater than the alarm threshold, the alarm device will sound an alarm.

[0039] A method for monitoring the thickness of grease deposits on the inner wall of flue gas ducts using the above-mentioned flue gas duct inner wall grease deposit thickness monitoring system:

[0040] Method 1

[0041] S1. Utilizing the principle of generating ultrasonic waves using piezoelectric ceramics, the adhesion of the oil film will change the natural frequency f1 of the ultrasonic waves vibrating from the piezoelectric ceramic transducer 2; the piezoelectric transducer is placed on the inner wall of the flue gas duct 1, so that the oil film 6 directly acts on the ultrasonic piezoelectric ceramic transducer 2.

[0042] S2, The ultrasonic piezoelectric ceramic transducer 2 receives the real-time echo vibration frequency f2 and transmits it to the data processing device 3;

[0043] S3, the data processing device 3 analyzes and fully inverts the echo vibration frequency f2 to obtain the oil stain thickness δ1 on the inner wall of the flue gas duct 1, and uploads the thickness δ1 to the alarm device; wherein, the thickness δ1 is inversely proportional to the echo vibration frequency f2;

[0044] S4. Determine the relationship between the thickness δ1 and the set alarm threshold δ0 within the alarm device. If δ1 < δ0, the alarm device will not issue an alarm; if δ1 ≥ δ0, the alarm device will issue an alarm.

[0045] Method 2

[0046] S1. The ultrasonic piezoelectric ceramic transducer 2 is closely attached to the outer wall of the flue gas duct 1. The ultrasonic piezoelectric ceramic transducer 2 generates ultrasonic waves with a waveform of γ, and acts on the outer wall of the flue gas duct 1, the oil film 6, and the air 7 in sequence.

[0047] S2. The ultrasonic piezoelectric ceramic transducer 2 receives three echo waveforms, γ1, γ2 and γ3, and transmits them to the data processing device 3.

[0048] S3, the data processing device 3 performs interpolation, correlation coefficient analysis and full inversion on the echo waveforms with waveforms γ1, γ2 and γ3 to obtain the oil stain thickness δ2 on the inner wall of the flue gas duct 1, and uploads the thickness δ2 to the alarm device.

[0049] S4. Determine the relationship between the thickness δ2 and the set alarm threshold δ0 within the alarm device. If δ2 < δ0, the alarm device will not issue an alarm; if δ2 ≥ δ0, the alarm device will issue an alarm.

[0050] Method 3

[0051] S1. The ultrasonic piezoelectric ceramic transducer 2 generates a sound wave at time t1. The ultrasonic wave passes through the oil film and reaches the interface between the oil film 6 and the air 7, where it is reflected. After the ultrasonic signal passes through the oil film 6 again, the ultrasonic transducer receives the echoed sound wave at time t2. Then the oil film thickness d = sound velocity * (t2-t1) / 2.

[0052] S2, the data processing device 3 calculates the oil stain thickness δ3 on the inner wall of the flue gas duct 1 based on the time difference between time t2 and t1 and the relationship between wave velocity v, and uploads the thickness δ3 to the alarm device; wherein, the calculation model of thickness δ3 is: δ3=(t2-t1)v / 2;

[0053] S3. Determine the relationship between the thickness δ3 and the set alarm threshold δ0 within the alarm device. If δ3 < δ0, the alarm device will not issue an alarm; if δ3 ≥ δ0, the alarm device will issue an alarm.

[0054] The above descriptions are merely embodiments of the present invention, and common knowledge regarding specific technical solutions or characteristics is not elaborated upon here. It should be noted that those skilled in the art can make various modifications and improvements without departing from the technical solutions of the present invention, and these should also be considered within the scope of protection of the present invention. These modifications and improvements will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A flue gas duct inner wall oil fouling thickness monitoring system characterized by: The monitoring system comprises an ultrasonic emission device, an ultrasonic receiving device, a data processing device and an alarm device. The ultrasonic emission device is used for emitting ultrasonic waves to act on a flue gas pipeline to be measured. The ultrasonic receiving device is used for receiving ultrasonic echo signals reflected or refracted by the pipe wall, oil film, air and other media of the flue gas pipeline. The data processing device is electrically connected with the ultrasonic receiving device, and the data processing device performs interpolation, correlation coefficient analysis or sufficient inversion on the received ultrasonic echo signals to obtain the oil dirt thickness of the inner wall of the flue gas pipeline. The alarm device is electrically connected with the data processing device, and the alarm device is provided with an alarm threshold value. The ultrasonic emission device and the ultrasonic receiving device are both ultrasonic piezoelectric ceramic vibration heads, and the alarm device comprises a user alarm module and a fire alarm module. The monitoring system is used for monitoring the oil dirt thickness of the inner wall of the flue gas pipeline, and comprises the following steps: S1, using the principle that piezoelectric ceramics generate ultrasonic waves, the attachment of the oil film changes the inherent frequency f1 of the ultrasonic waves of the piezoelectric ceramic vibration head; the piezoelectric ceramic vibration head is arranged on the inner wall of the flue gas pipeline, so that the oil film directly acts on the piezoelectric ceramic vibration head; S2, the real-time echo vibration frequency f2 is received by the piezoelectric ceramic vibration head again, and is transmitted to the data processing device; S3, the data processing device analyzes and sufficiently inverts the echo vibration frequency f2 to obtain the oil dirt thickness δ1 of the inner wall of the flue gas pipeline, and uploads the thickness δ1 to the alarm device; wherein the thickness δ1 is inversely proportional to the echo vibration frequency f2; S4, the relationship between the thickness δ1 and the set alarm threshold value δ0 is judged in the alarm device, if δ1 < δ0, the alarm device does not issue an alarm; if δ1 ≥ δ0, the alarm device issues an alarm.

2. A flue gas duct inner wall oil fouling thickness monitoring system characterized by: The monitoring system comprises an ultrasonic emission device, an ultrasonic receiving device, a data processing device and an alarm device. The ultrasonic emission device is used for emitting ultrasonic waves to act on a flue gas pipeline to be measured. The ultrasonic receiving device is used for receiving ultrasonic echo signals reflected or refracted by the pipe wall, oil film, air and other media of the flue gas pipeline. The data processing device is electrically connected with the ultrasonic receiving device, and the data processing device performs interpolation, correlation coefficient analysis or sufficient inversion on the received ultrasonic echo signals to obtain the oil dirt thickness of the inner wall of the flue gas pipeline. The alarm device is electrically connected with the data processing device, and the alarm device is provided with an alarm threshold value. The ultrasonic emission device and the ultrasonic receiving device are both ultrasonic piezoelectric ceramic vibration heads, and the alarm device comprises a user alarm module and a fire alarm module. The monitoring system is used for monitoring the oil dirt thickness of the inner wall of the flue gas pipeline, and comprises the following steps: S1, the ultrasonic piezoelectric ceramic horn is tightly attached to the outer wall of the flue gas pipeline, the ultrasonic piezoelectric ceramic horn generates ultrasonic waves with a waveform of , and sequentially acts on the outer wall of the flue gas pipeline, the oil film and the air; S2, the ultrasonic piezoelectric ceramic horn head receives three kinds of echo waveforms, and transmits them to the data processing device; 1、 2、and 3 three kinds of echo waveforms, and transmits them to the data processing device; S3, the data processing device interpolates the echo waveform of 1, 2, and 3 to obtain the oil dirt thickness δ2 of the inner wall of the flue gas pipeline, and uploads the thickness δ2 to the alarm device. S4, the relationship between the thickness δ2 and the set alarm threshold value δ0 is judged in the alarm device, if δ2 < δ0, the alarm device does not issue an alarm; if δ2 ≥ δ0, the alarm device issues an alarm.

Images