CN117760346A - System and method for measuring thickness of bottom of glass kiln - Google Patents
System and method for measuring thickness of bottom of glass kiln Download PDFInfo
- Publication number
- CN117760346A CN117760346A CN202311868933.8A CN202311868933A CN117760346A CN 117760346 A CN117760346 A CN 117760346A CN 202311868933 A CN202311868933 A CN 202311868933A CN 117760346 A CN117760346 A CN 117760346A
- Authority
- CN
- China
- Prior art keywords
- radar
- kiln
- signal
- thickness
- control system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000011521 glass Substances 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000005259 measurement Methods 0.000 claims abstract description 37
- 238000012545 processing Methods 0.000 claims abstract description 11
- 239000000463 material Substances 0.000 claims description 23
- 239000011449 brick Substances 0.000 claims description 19
- 230000007547 defect Effects 0.000 claims description 11
- 238000002844 melting Methods 0.000 claims description 7
- 230000008018 melting Effects 0.000 claims description 7
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 238000005070 sampling Methods 0.000 claims description 5
- 230000009466 transformation Effects 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 description 10
- 238000001514 detection method Methods 0.000 description 8
- 230000005540 biological transmission Effects 0.000 description 5
- 230000001276 controlling effect Effects 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 239000004927 clay Substances 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000003628 erosive effect Effects 0.000 description 3
- 239000005329 float glass Substances 0.000 description 3
- 238000009529 body temperature measurement Methods 0.000 description 2
- 238000001816 cooling Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 230000002035 prolonged effect Effects 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 238000006124 Pilkington process Methods 0.000 description 1
- 238000003723 Smelting Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 239000000919 ceramic Substances 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000010309 melting process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000006060 molten glass Substances 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 239000011819 refractory material Substances 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000009991 scouring Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 239000002893 slag Substances 0.000 description 1
- 239000000725 suspension Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Landscapes
- Length-Measuring Devices Using Wave Or Particle Radiation (AREA)
Abstract
The invention discloses a system and a method for measuring the thickness of a tank bottom of a glass kiln, comprising a radar generator, a radar signal receiver, a radar control system and a display; the output end of the radar control system is connected to the radar generator and used for controlling the sending of radar signals to the outer wall of the kiln; the radar signal receiver is used for receiving radar signals reflected by the kiln and sending the radar signals into the radar control system; the output end of the radar control system is connected with the display and used for driving the display to display radar measurement result data. The invention has the advantages that: the thickness of the kiln is measured by adopting the radar, so that the method is simple, reliable and practical, meets the actual requirements of the kiln under the high-temperature working condition, and can measure the thickness of the kiln at any time; the radar hardware thickness measurement cost is low, and the use is convenient; the measurement result is accurate and reliable, and the corresponding thickness data can be obtained based on simple data processing.
Description
Technical Field
The invention relates to the field of thickness measurement, in particular to a system and a method for measuring the thickness of a tank bottom of a glass kiln.
Background
In the field of float glass production, kilns are an important component. An energy-saving float glass kiln with the patent application number of 201010112981.0 comprises a melting area, a clarifying area, a neck and a cooling part which are sequentially communicated, wherein the neck is provided with a glass liquid deep separation device. Limited by the temperature of the kiln, the measurement of the temperature cannot be directly carried out at high temperature for detecting and measuring the thickness of the bottom of the tank, and the common measurement needs to be carried out after shutdown and cooling, so that the method has a plurality of defects, such as energy waste caused by production suspension, repeated shutdown and starting after shutdown, and therefore, a scheme capable of being measured under the working condition of the smelting furnace is needed.
The detection requirements on the wall thickness and the wall thickness of the kiln can meet the monitoring requirements of various control boxes in the production process, such as clearly grasping the erosion and glass penetration conditions of the bottom and the wall of the float glass kiln, and ensuring the safe and stable operation of the production line. The product quality is improved: by detecting the condition of the bottom of the tank, the glass melting process can be more accurately known and controlled, thereby improving the quality of glass products. Optimizing the production process: the state of the bottom of the tank is monitored and analyzed in real time, so that the technological parameters of the melting furnace can be better adjusted and controlled, thereby improving the production efficiency and reducing the energy consumption. Prevention and maintenance: the possible problems at the bottom of the tank, such as damage to refractory materials, slag formation and the like, can be found in time through detection, so that prevention and maintenance can be performed in time, and the service life of the melting furnace can be prolonged. The production safety is improved: by detecting the bottom of the pool, potential safety hazards possibly existing can be found and processed in time, so that the production safety is guaranteed. Environmental protection and energy saving: the detection technology can reduce environmental pollution and energy waste, and improve the environmental protection and energy conservation of production.
The float kiln is one of main thermal equipment for float production, and the main body of the float kiln is built by refractory bricks. Due to the erosion and scouring of the molten glass in a high-temperature molten state for a long time, the bottom and the wall of the pool can be eroded to different degrees along with the time, so that the wall thickness is reduced, and even the leak is avoided. Therefore, the thickness of the kiln needs to be simply, quickly and reliably detected, but the prior art does not disclose related technologies, and cannot meet the requirements of monitoring and detecting the kiln.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a glass kiln bottom thickness measuring system, which adopts a designed radar ranging circuit to carry out detection control and obtains radar data as the basis of thickness measurement.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows: the system for measuring the thickness of the tank bottom of the glass kiln comprises a radar generator, a radar signal receiver, a radar control system and a display;
the output end of the radar control system is connected to the radar generator and used for controlling the sending of radar signals to the outer wall of the kiln;
the radar signal receiver is used for receiving radar signals reflected by the kiln and sending the radar signals into the radar control system;
the output end of the radar control system is connected with the display and used for driving the display to display radar measurement result data.
The radar transmitter comprises a signal source, a directional coupler and a transmitting antenna, wherein the signal source is connected with the control system and is used for receiving a frequency control signal sent by the control system and outputting a radar signal with a corresponding frequency; the signal source is connected to the transmitting antenna through the directional coupler, and the transmitting antenna is used for transmitting radar signals and is clung to the outer wall of the kiln during measurement.
The radar signal receiver comprises a receiving antenna for receiving RF signals reflected by the kiln wall.
The control system comprises an IQ mixer, an AD sampler and a CPU controller; the output end of the directional coupler and the output end of the receiving antenna are respectively connected to the input end of the IQ mixer, the output end of the IQ mixer is connected to the CPU controller through the AD sampler, and the CPU controller drives the display to display based on the output signal of the AD sampler.
The signal source is a UWB radar signal source and is used for sending out a short pulse electromagnetic wave signal with adjustable frequency.
The CPU controller is connected with the EEPROM and used for storing the measurement result.
The measuring method of the glass furnace tank bottom thickness measuring system comprises the following steps:
and (3) tightly attaching the generator and the receiver of the radar signal to the outer wall of the kiln, controlling the transmitting end to send the radar signal, receiving the reflected RF signal through the receiving end, and analyzing and calculating the received RF signal to obtain the wall thickness of the kiln.
After receiving the reflected RF signal at the receiving end and mixing with the intermediate frequency IF signal separated by the directional coupler at the transmitting end, sampling and collecting the RF signal by the A/D chip, sending the RF signal to the CPU controller for processing, calculating the distance between the bottom of the kiln and the sensor by calculating the propagation time difference of the radar signal, and subtracting the distance of other materials below the bottom of the kiln to obtain the wall thickness of the kiln.
The CPU controller performs mathematical transformation on the radar data to obtain time domain data, then obtains time difference between wave peaks based on the time domain data waveform, and obtains corresponding distance data based on time difference conversion between the wave peaks, wherein the distance data between the wave peaks is the thickness between different materials.
Whether defects exist in the refractory brick of the glass melting furnace or not is judged based on the wave crest number in the waveform of the time domain data.
The invention has the advantages that: the thickness of the kiln is measured by adopting the radar, so that the method is simple, reliable and practical, meets the actual requirements of the kiln under the high-temperature working condition, and can measure the thickness of the kiln at any time; the radar hardware thickness measurement cost is low, and the use is convenient; the measurement result is accurate and reliable, and the corresponding thickness data can be obtained based on simple data processing.
Drawings
The contents of the drawings and the marks in the drawings of the present specification are briefly described as follows:
FIG. 1 is a hardware schematic of a radar thickness measurement system of the present invention;
FIG. 2 is a flow chart of a method for radar thickness measurement according to the present invention
FIG. 3 is a waveform diagram of time domain data of radar thickness measurement according to the present invention.
Detailed Description
The following detailed description of the invention refers to the accompanying drawings, which illustrate preferred embodiments of the invention in further detail.
The scheme mainly solves the problem of detecting the wall thickness or the pool bottom thickness of the glass kiln in the prior art, and realizes simple and rapid thickness detection and measurement; the scheme is divided into two parts of hardware and software, wherein the hardware part is shown in figure 1, and the glass kiln bottom thickness measuring system comprises a radar generator, a radar signal receiver, a radar control system and a display;
the output end of the radar control system is connected to the radar generator and used for controlling the sending of radar signals to the outer wall of the kiln; the radar signal receiver is used for receiving radar signals reflected by the kiln and sending the radar signals into the radar control system; the output end of the radar control system is connected with the display and used for driving the display to display radar measurement result data.
The radar transmitter comprises a signal source, a directional coupler and a transmitting antenna, wherein the signal source is connected with the control system and is used for receiving a frequency control signal sent by the control system and outputting a radar signal with a corresponding frequency; the signal source is connected to a transmitting antenna through a directional coupler, and the transmitting antenna is used for transmitting radar signals, and the radar signals are tightly attached to the outer wall of the kiln during measurement.
The radar signal receiver comprises a receiving antenna for receiving RF signals reflected by the kiln wall.
The control system comprises an IQ frequency mixer, an AD sampler and a CPU controller; the output end of the directional coupler and the output end of the receiving antenna are respectively connected to the input end of the IQ mixer, the output end of the IQ mixer is connected to the CPU controller through the AD sampler, and the CPU controller drives the display to display based on the output signal of the AD sampler.
The preferred signal source is a UWB radar signal source for emitting short pulse electromagnetic wave signals with adjustable frequencies.
The working principle is as follows: the frequency of the radar signal sent by the control signal source is regulated by the CPU controller, then the sent adjustable radar signal is sent to the transmitting antenna after passing through the directional coupler, the radar signal is sent to the kiln wall by the transmitting antenna, and the transmitting antenna is required to be clung to the kiln outer wall during measurement. Thus, electromagnetic wave signals corresponding to the radar signals can be transmitted and reflected through the kiln wall, and as electromagnetic waves of different materials can be reflected by different materials, the reflected electromagnetic wave signals are received through the receiver, and then the thickness of the corresponding glass kiln can be obtained through analysis. The method comprises the steps that after a reflected electromagnetic wave signal RF signal is received, the reflected electromagnetic wave signal RF signal is mixed through an IQ mixer and a directional coupler IF signal and then is sent into a CPU (Central processing Unit) controller through AD (analog-to-digital) sampling for analysis, the CPU controller can conduct Fourier transform and the like on the collected waveform graph to be converted into a time domain data waveform graph, and then the thickness of the glass kiln is judged based on the distance between wave peaks, because the transmission electromagnetic wave rates of different materials are different, the electromagnetic wave can be reflected when the two materials are switched, the corresponding time domain data waveform is the wave peak, namely the wave peak is the junction of the two materials, so that the time difference between the two materials can be achieved through the distance between the wave peak and the wave peak, and then the distance, namely the thickness between the two materials can be calculated based on the propagation speed of the electromagnetic wave through the time difference. Therefore, the CPU controller can drive the display to display the time domain data signals, so that detection personnel can calculate the time domain data signals conveniently, calculation logic can be operated in the CPU controller in a software mode, and data can be automatically settled through software and displayed through the display.
The CPU controls the radar transmitter signal source, adjusts the transmitting frequency, and transmits short pulse electromagnetic wave signals through the transmitting antenna, wherein the frequency range of the pulse signals is very wide, and the frequency range of the pulse signals is usually covered from 1GHZ to 10 GHZ. The emitted UWB signal will propagate and interact with objects at the bottom of the kiln. When a signal encounters the surface of an object, it is partially reflected. A portion of the signal penetrates the kiln bottom and is reflected by other materials below the bottom. The radar receives radio frequency signals reflected from the bottom of the kiln through a receiving antenna, the radio frequency signals are mixed through Intermediate Frequency (IF) signals separated by an IO mixer and a directional coupler, sampled and collected through an A/D chip and transmitted to a radar CPU controller, and the reflected signals contain distance information between the bottom and a sensor. By measuring the propagation time of the signal (instant difference measurement), the sensor can calculate the distance between the kiln bottom and the sensor. The thickness of the bottom can be determined by subtracting the distance of other material below the bottom of the kiln from this distance value and finally displaying the bottom thickness on a display
In the application, the CPU controller is connected with the EEPROM and used for storing the measurement result, so that the subsequent measurement data retrieval and the traceability query are facilitated. The data can be ensured not to be lost after power failure by being stored in the EEPROM.
In this application, the signal source is used to emit a radar electromagnetic wave signal with a usable frequency, and the directional coupler is used to distribute power of a radio frequency microwave signal (radar electromagnetic wave signal) according to a certain proportion, and couple the power on the input signal to the output port. A directional coupler is a power coupling (distribution) element with directivity. It is a four port element, typically consisting of two sections of transmission lines called through lines (main lines) and coupled lines (sub lines). A part (or all) of the power of the through line is coupled to the coupled line through a certain coupling mechanism (such as a gap, a hole, a coupled line segment, etc.) between the through line and the coupled line, and the power is required to be transmitted to only one output port in the coupled line, and no power is output from the other port. If the propagation direction of the wave in the through line becomes opposite to the original direction, the output port of the power in the coupled line and the port of the no power output will also change accordingly, that is, the coupling (distribution) of the power is directional, and thus is called a directional coupler (directional coupler).
The transmitting antenna mainly transmits electromagnetic wave signals, and short-pulse electromagnetic wave signals are transmitted through the transmitting antenna, and the frequency range of the pulse signals is very wide, and generally covers the frequency range from 1GHZ to 10 GHZ. The corresponding receiving antenna is an RF antenna and is used for collecting reflected electromagnetic wave signals caused by the transmission of electromagnetic waves through different materials. The IQ mixer is used for carrying out mixing operation on the RF signal and the intermediate frequency IF signal separated by the directional coupler, and the IQ mixer processes the signal into two orthogonal paths, so that the A/D chip can directly sample the radio frequency signal, and amplitude and phase information can be directly obtained from the radio frequency signal.
The A/D sampling adopts an A/D chip to carry out analog-to-digital conversion on the data, and then the data is sent to a CPU controller for processing, and the analog signal is converted into a digital signal, so that the subsequent processing and the reality are convenient. The CPU controller is a core control unit and is used for processing the digital signals and driving the display to display data, wherein the display can be realized by adopting an LCD display screen. The data can be displayed, and the electromagnetic wave data can be displayed in a time domain data waveform, so that subsequent calculation and use are convenient.
The measuring method of the bottom thickness or the outer wall thickness of the radar-based glass kiln comprises the following steps:
and (3) tightly attaching the generator and the receiver of the radar signal to the outer wall of the kiln, controlling the transmitting end to send the radar signal, receiving the reflected RF signal through the receiving end, and analyzing and calculating the received RF signal to obtain the wall thickness of the kiln.
After receiving the reflected RF signal at the receiving end and mixing with the intermediate frequency IF signal separated by the directional coupler at the transmitting end, sampling and collecting the RF signal by the A/D chip, sending the RF signal to the CPU controller for processing, calculating the distance between the bottom of the kiln and the sensor by calculating the propagation time difference of the radar signal, and subtracting the distance of other materials below the bottom of the kiln to obtain the wall thickness of the kiln.
The CPU controller performs mathematical transformation on the radar data to obtain time domain data, then obtains time difference between wave peaks based on the time domain data waveform, and obtains corresponding distance data based on time difference conversion between the wave peaks, wherein the distance data between the wave peaks is the thickness between different materials.
Whether defects exist in the refractory brick of the glass melting furnace or not is judged based on the wave crest number in the waveform of the time domain data. As shown in FIG. 3, the electromagnetic wave speed of a material transmission is generally stable, only when two materials are interacted, wave peaks in the time domain of a waveform signal can be generated, namely, how the furnace wall of the kiln is made of only one material, the quantity of the materials at the bottom of the furnace is known, the corresponding wave peaks are fixed, when the quantity of the wave peaks is larger than the set quantity, the defect exists in the furnace wall of the kiln, as shown in FIG. 3, three wave peaks exist when the defect exists in the glass kiln, and when the defect exists in the furnace wall of the kiln, only two wave peaks exist, so that whether the defect exists in the furnace wall of the kiln, namely, whether the refractory bricks of the furnace wall of the kiln are defective or not can be judged according to the quantity of the wave peaks, and accordingly, the defect can be found in time and maintained. Fig. 3 is a waveform diagram after inverse fourier transform, wherein the abscissa is time, and the ordinate is amplitude (voltage) of electromagnetic wave, data of the electromagnetic wave are collected by an analog circuit AD chip of hardware, and then obtained through data processing.
The thickness of the bottom of the glass melting furnace tank is detected by researching and developing a radar transmitter and intelligent analysis software, so that the purpose of safe operation and production is achieved. The analysis software can be simply run in the CPU controller or transmitted to a computer for running, taking the computer running the analysis software as an example, the CPU controller is connected to the computer and used for uploading the data to the computer, and the computer runs the analysis software and then analyzes the data to obtain a measurement result. The technical principle is that a UWB radar is utilized to send out nanosecond non-sinusoidal narrow pulse (free Gaussian pulse) frequency: 2-8GHZ, pulse width: and (3) 0.2-1.5 ns, tightly attaching the pool bottom brick as a propagation medium, reflecting back microwaves, obtaining a time domain waveform chart through inverse Fourier transform, calibrating a time domain signal into a distance domain through a waveform after interference removal, and obtaining the thickness of the measured material through the distance between two wave peaks.
As shown in fig. 2, a flowchart of the software includes:
(1) The radar transmitter is prevented from being arranged on the brick surface at the bottom of the kiln;
(2) Controlling to emit UWB electromagnetic waves to the brick surface at the bottom of the kiln in a frequency range based on 2-8 GHZ;
(3) Measuring the reflected UWB electromagnetic wave signals collected by the receiving antenna;
(4) Collecting, calculating and measurement data;
(5) Transmitting the recorded electromagnetic wave data to a computer for software processing analysis;
(6) Performing data analysis on the acquired electromagnetic wave data, including but not limited to inverse Fourier transform and frequency domain conversion, to obtain time domain data; the time domain data is a set of two-dimensional data (time, amplitude and electromagnetic wave voltage signals), represented as a line graph, and the abscissa is time and the ordinate is electromagnetic wave voltage.
(7) Acquiring time difference through time domain data, and converting the time domain data into distance domain data according to the propagation speed of the electromagnetic wave on the brick surface at the bottom of the kiln;
(8) Identifying the distance between peaks and peaks according to the distance domain data;
(9) And determining the thickness of the ground brick surface of the kiln. Step eight has or a set of two-dimensional data (distance, amplitude and electromagnetic wave voltage signals, represented as a line graph, and the abscissa is distance, the ordinate is electromagnetic wave voltage, the difference between the passing of the pulse point of the electromagnetic wave and the abscissa point before the passing of the pulse point is thickness.
Based on the above, the measurement scheme of the present application has:
1. the method has the advantages that the detection of the bottom of the kiln pool in the operation process is realized, the service life of the kiln is prolonged, the safety of the kiln is ensured, the cost is saved, and no related high-precision detection equipment exists in China;
2. the hardware aspect: the microwave radar for high temperature measurement is suitable for high temperature measurement (high temperature resistant ceramics), can reduce clutter influence generated by various refraction in the electromagnetic wave propagation process, can emit and receive electromagnetic wave signals, and performs signal processing, so that no such mature probe exists in China at present. Software aspect: and the edge end APP controls the sensor to emit electromagnetic waves, receives data sent back by the radar sensor, processes and stores the data, and sends the received data to the platform analysis software. Platform analysis software: and receiving and storing data sent by the edge segment APP, analyzing the received data for visualization and generating a report.
3. The erosion degree of the bottom and wall bricks is reliably and stably detected, the measurement accuracy is about 10mm, the temperature of the bottom bricks is about 500 ℃, and the anti-interference capability and the heat resistance are outstanding.
4. The thickness of the clay brick is tested through the UWB radar microwave generator and the feedback antenna, clay bricks with different thicknesses are used for testing, and the actual thickness of the clay brick is obtained through analysis of the waveform information fed back and modeling and calculation through analysis software.
As shown in fig. 1, a schematic diagram of a hardware system of the present application is shown:
a) The CPU controls the radar transmitter signal source, adjusts the transmitting frequency, and transmits short pulse electromagnetic wave signals through the transmitting antenna, wherein the frequency range of the pulse signals is very wide, and the frequency range of the pulse signals is usually covered from 1GHZ to 10 GHZ.
b) The emitted UWB signal will propagate and interact with objects at the bottom of the kiln. When a signal encounters the surface of an object, it is partially reflected. A portion of the signal penetrates the kiln bottom and is reflected by other materials below the bottom.
c) The radar receives radio frequency signals reflected from the bottom of the kiln through a receiving antenna, the radio frequency signals are mixed through Intermediate Frequency (IF) signals separated by an IO mixer and a directional coupler, sampled and collected through an A/D chip and transmitted to a radar CPU controller, and the reflected signals contain distance information between the bottom and a sensor.
d) By measuring the propagation time of the signal (instant difference measurement), the sensor can calculate the distance between the kiln bottom and the sensor. The thickness of the bottom can be determined by subtracting the distance of other material below the bottom of the kiln from this distance value and finally displaying the bottom thickness on a display.
As shown in fig. 2 and 3, when electromagnetic waves are emitted to the outer surface of the fire brick through the antenna, the electromagnetic waves are reflected first and received through the radar antenna; when the electromagnetic wave is emitted to the defect inside the fire brick through the antenna, the electromagnetic wave can be reflected and received through the radar antenna; when electromagnetic waves are emitted to the inner surface of the refractory brick through the antenna and contact with another medium, the electromagnetic waves can be reflected and received through the radar antenna because of passing through different mediums; according to the electromagnetic wave reflected by different reflection points received by the radar, the time difference of the electromagnetic wave received by different emission points can be calculated, and the thickness of the refractory brick can be calculated according to the transmission speed (l=v×t) of the electromagnetic wave in the medium.
In the scheme of the application, a UWB radar system with higher resolution can be used to improve measurement accuracy. More detailed structural information of the kiln bottom can be obtained by increasing the number of pulses, adjusting the waveform, or using a higher frequency UWB radar.
It is obvious that the specific implementation of the present invention is not limited by the above-mentioned modes, and that it is within the scope of protection of the present invention only to adopt various insubstantial modifications made by the method conception and technical scheme of the present invention.
Claims (10)
1. The utility model provides a glass kiln bottom of pool thickness measurement system which characterized in that: the system comprises a radar generator, a radar signal receiver, a radar control system and a display;
the output end of the radar control system is connected to the radar generator and used for controlling the sending of radar signals to the outer wall of the kiln;
the radar signal receiver is used for receiving radar signals reflected by the kiln and sending the radar signals into the radar control system;
the output end of the radar control system is connected with the display and used for driving the display to display radar measurement result data.
2. The glass furnace bottom of pool thickness measurement system of claim 1, wherein: the radar transmitter comprises a signal source, a directional coupler and a transmitting antenna, wherein the signal source is connected with the control system and is used for receiving a frequency control signal sent by the control system and outputting a radar signal with a corresponding frequency; the signal source is connected to the transmitting antenna through the directional coupler, and the transmitting antenna is used for transmitting radar signals and is clung to the outer wall of the kiln during measurement.
3. The glass furnace bottom of pool thickness measurement system of claim 1 or 2, wherein: the radar signal receiver comprises a receiving antenna for receiving RF signals reflected by the kiln wall.
4. A glass furnace tank bottom thickness measurement system according to claim 3, wherein: the control system comprises an IQ mixer, an AD sampler and a CPU controller; the output end of the directional coupler and the output end of the receiving antenna are respectively connected to the input end of the IQ mixer, the output end of the IQ mixer is connected to the CPU controller through the AD sampler, and the CPU controller drives the display to display based on the output signal of the AD sampler.
5. The glass furnace bottom of pool thickness measurement system of claim 4, wherein: the signal source is a UWB radar signal source and is used for sending out a short pulse electromagnetic wave signal with adjustable frequency.
6. The glass furnace bottom of pool thickness measurement system of claim 4, wherein: the CPU controller is connected with the EEPROM and used for storing the measurement result.
7. A method for measuring a bottom of glass furnace tank thickness measuring system according to any one of claims 1 to 6, characterized by: the method comprises the following steps:
and (3) tightly attaching the generator and the receiver of the radar signal to the outer wall of the kiln, controlling the transmitting end to send the radar signal, receiving the reflected RF signal through the receiving end, and analyzing and calculating the received RF signal to obtain the wall thickness of the kiln.
8. The method for measuring the thickness of the tank bottom of the glass furnace according to claim 7, wherein: after receiving the reflected RF signal at the receiving end and mixing with the intermediate frequency IF signal separated by the directional coupler at the transmitting end, sampling and collecting the RF signal by the A/D chip, sending the RF signal to the CPU controller for processing, calculating the distance between the bottom of the kiln and the sensor by calculating the propagation time difference of the radar signal, and subtracting the distance of other materials below the bottom of the kiln to obtain the wall thickness of the kiln.
9. The method for measuring the thickness of the tank bottom of the glass furnace according to claim 8, wherein: the CPU controller performs mathematical transformation on the radar data to obtain time domain data, then obtains time difference between wave peaks based on the time domain data waveform, and obtains corresponding distance data based on time difference conversion between the wave peaks, wherein the distance data between the wave peaks is the thickness between different materials.
10. A method for measuring a glass furnace bottom thickness measuring system according to any one of claims 7-9, characterized in that: whether defects exist in the refractory brick of the glass melting furnace or not is judged based on the wave crest number in the waveform of the time domain data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311868933.8A CN117760346A (en) | 2023-12-28 | 2023-12-28 | System and method for measuring thickness of bottom of glass kiln |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311868933.8A CN117760346A (en) | 2023-12-28 | 2023-12-28 | System and method for measuring thickness of bottom of glass kiln |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117760346A true CN117760346A (en) | 2024-03-26 |
Family
ID=90318139
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311868933.8A Pending CN117760346A (en) | 2023-12-28 | 2023-12-28 | System and method for measuring thickness of bottom of glass kiln |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117760346A (en) |
-
2023
- 2023-12-28 CN CN202311868933.8A patent/CN117760346A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN1293761A (en) | Measurement of process product dielectric constant using low power radar level transmitter | |
| US8639457B2 (en) | Method for ascertaining and monitoring fill level of a medium in a container using a travel time measuring method | |
| US6879282B2 (en) | Guided wave radar level transmitter | |
| CN103175852B (en) | A kind of stored grain moisture on-line measuring device and method thereof | |
| CN108459032A (en) | A kind of device and measurement method of dual probe difference type micro-wave on-line measurement moisture content | |
| CN104215203A (en) | Ultrasonic-based transformer winding deformation online detection method and system | |
| CN104459650A (en) | Real-time calibration system and method of millimeter wave cloud-detection radar | |
| CN202421417U (en) | Device for accurately positioning partial discharge of transformer based on acoustical-electrical synchronization | |
| CN108362771A (en) | A kind of damage monitoring apparatus and system | |
| CN108169250B (en) | Intelligent variable-frequency microwave moisture measuring instrument and measuring method | |
| CN116087908B (en) | Radar high-precision level meter measuring method based on cooperative operation | |
| Pieraccini et al. | Microwave sensor for molten glass level measurement | |
| CN111122611A (en) | Steel structure corrosion detection method based on microwave technology | |
| CN221666875U (en) | Glass kiln bottom of pool thickness measurement system | |
| CN117760346A (en) | System and method for measuring thickness of bottom of glass kiln | |
| CN110333287A (en) | A kind of bearing testers based on ultrasound | |
| CN2896240Y (en) | Radar molten-steel level detection system | |
| CN105387823B (en) | Microwave low coverage measuring method based on reflection flowmeter sensor | |
| CN111273287A (en) | Blast furnace charge level imaging device, system and measuring method thereof | |
| CN206657100U (en) | The field test system of superfrequency partial discharge monitoring device | |
| CN105182323A (en) | FMCW radar ranging system | |
| CN203148899U (en) | Acoustic detection system for cast iron material defects | |
| CN201463986U (en) | Improved ultrasonic material level measuring device | |
| WO2020020242A1 (en) | Wastewater flow measuring circuit and device | |
| CN112748131A (en) | Method for detecting aggregate moisture content based on microwave principle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |