A combed sliver evenness detection optimization method and system

Abstract

The present invention discloses a combed sliver dryness detection optimization method and system, which belongs to the field of spinning production, and the steps are: under the premise that the combing machine runs well, first set the sliver dryness quality threshold, then collect the sliver dryness quality data of several process cycles through the detection device, and compare it with the sliver dryness quality threshold. If the sliver dryness quality does not meet the standard, analyze and process the data to obtain the motion law of the drafting roller, and optimize the sliver dryness quality in non-real time by adjusting the motion law of the middle roller, and repeat the above optimization process until the sliver dryness quality threshold requirement is met, and the sliver dryness optimization is completed. The present invention regulates the transmission of the drafting mechanism without affecting the normal start-up of the combing machine. The detection device is insensitive to temperature and humidity, light intensity and vehicle body vibration, is easy to install, and has reliable accuracy. The sliver dryness processed by the optimization method can effectively eliminate the overlap wave, reduce the drafting wave, and avoid the adverse effects of the delay time and the leveling dead zone on the optimization of the sliver dryness quality.

Description

Technical Field

[0001] The invention belongs to the field of spinning production, and in particular relates to a combed sliver evenness detection optimization method and system. Background Art

[0002] The quality of the whisker is the determining factor in the quality of the spun yarn, and the molding quality of the textile is closely related to the quality of the whisker. The traditional way to optimize the whisker quality online is to install an auto-leveling system on the drawing frame and optimize the quality of the whisker quality in the form of an open loop, closed loop or mixed loop. However, on some spinning equipment such as combing machines, due to the long distance between the drafting area and the detection device, when the auto-leveling system is loaded, the delay time is too long, and the leveling effect is greatly reduced, and even the quality of the whisker quality is affected.

[0003] In order to avoid the problems caused by the delay time of the real-time adjustment method on the optimization of the strand quality, it is very necessary to propose a strand optimization method that first summarizes the law of strand quality changes and then optimizes the strand quality in non-real time. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a combed sliver evenness detection optimization method and system in a non-real-time optimization manner.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is: a combed sliver evenness detection optimization method, comprising the following steps:

[0006] S101, when the combing machine is in good operation, the optimization system starts to operate;

[0007] S102, setting a target threshold for optimizing the bar quality;

[0008] S103, collecting the bar quality data of several process cycles by the detection device;

[0009] S104, comparing the obtained data with the target threshold for optimizing the strand quality;

[0010] S105, analyzing and processing the data to obtain the motion law of the drafting roller;

[0011] S106, adjusting the movement law of the middle roller to optimize the yarn quality in non-real time;

[0012] S107, provide a strip quality test report;

[0013] S108, the strip length optimization is completed.

[0014] In step S103, since the detection device can detect analog data, the analog data must be converted into parameters related to the strip quality. The detection device is a microwave detection sensor. The resonant frequency of the microwave resonant cavity of the microwave detection sensor will change with the uniformity of the combed strip. The uniformity is based on the change of the dielectric constant. When the microwave detection sensor detects the strip quality, it detects based on the function model of the resonant frequency and the dielectric constant. The dielectric constant of the combed strip consists of three parts, including air, cotton fiber and water. The size of the dielectric constant of the combed strip is determined according to the formula (1):

[0015]

[0016] Among them, ε, ε D , ε W , ε A are the dielectric constants of combed sliver, cotton fiber, water and air respectively, and v D 、v W 、v A are the volume percentages of cotton fiber, water and air in the combed sliver respectively, and α is an empirical parameter;

[0017] Since the effect of air on the dielectric constant of the combed sliver is very small and can be ignored, the moisture content of the combed sliver is expressed as formula (2): moisture content of the combed sliver:

[0018]

[0019] Among them, m W and m D Represent the mass of water and cotton fiber respectively. According to the relationship between density, volume and mass, as well as formula (1) and formula (2), the functional relationship between dielectric constant and density is deduced, that is, the relationship model between dielectric constant and density is given by formula (3):

[0020]

[0021] Among them, ρ, ρ D , W are respectively the density of combed sliver, cotton fiber and the dielectric constant. The dielectric constant and the resonant frequency have a certain relationship with the equivalent circuit of the resonant cavity. The relationship model is formula (4). The relationship model between the resonant frequency of the microwave resonant cavity and the dielectric constant of the combed sliver is:

[0022]

[0023] Among them, L, C 0 , C 1 , C 2All of them are fixed constants. Combining the above relationship, we can get the mathematical model between the density of the combed strip and the resonant frequency. According to the change of the density of the combed strip, we can get the change of parameters such as the CV value of the strip and the linear density.

[0024] In step S105, the data analysis and processing includes data processing procedures such as curve fitting of the analog data. The curve fitting of the analog quality data is to solve the least squares curve fitting by using the polyfit function in the Matlab mathematical software to obtain a continuous change curve of the CV value of the analog quality data over time, and adjust the motion law of the stretching roller according to the periodic change law of the curve.

[0025] The movement law of the above-mentioned stretching rollers includes the change law of the front zone stretch ratio, the rear zone stretch ratio and the total stretch ratio. Because the front zone stretch ratio and the total stretch ratio involve too many moving parts and are not easy to change, that is, there are too many moving parts involved in the adjustment of the front roller movement and the rear roller movement law. Therefore, it is chosen to adjust the middle roller movement law to optimize the yarn quality, and the change law of the stretch ratio in the stretching zone needs to be set under the standard of optimizing the yarn quality threshold.

[0026] Since the combing machine generally operates with a certain number of clamps, the produced yarns are accompanied by periodic waves that change in a certain periodic pattern. According to the periodic waves reflected in the data, the movement law of the drafting rollers is adjusted to eliminate the periodic waves in order to optimize the quality of the yarn. Finally, the movement law of the drafting rollers for a process cycle is obtained.

[0027] In step S106, the adjustment of the motion law of the middle roller refers to superimposing an optimized speed law on the original motion law of the middle roller through servo motor control to cater to the motion law of the stretching roller obtained after data analysis and processing, thereby optimizing the quality of the yarn. When the speed of the middle roller is not adjusted, the middle roller moves normally according to the original motion law.

[0028] A speed sensor is installed at the rear roller moving position to detect the rear roller speed V 1 , according to the back zone draft ratio F 1 The original operating law of the middle roller can be obtained: W = F 1 *V 1 The initial start-up time without optimizing the dry quality is controlled by the servo motor according to this law. When optimizing the dry quality, according to the obtained motion law of the drafting roller, an optimized speed motion law M is set for the middle roller, and the middle roller movement is controlled by the servo motor. Its motion law is: W = F 1 *V 1 +M.

[0029] The motion law of the middle roller is servo-regulated, and the obtained motion law of the middle roller is transmitted to the servo motor, and the servo motor directly drives the middle roller to rotate to optimize the yarn quality.

[0030] The optimization process needs to be repeatedly run to reach the strip quality optimization threshold requirement. The optimization times are set for the purpose of repeatedly running the optimization process to reach the strip quality threshold requirement, so as to control the stability of the strip quality data.

[0031] The present invention also provides a combed sliver detection and optimization system, including a detection system, which is installed on a combing machine and includes a sliver transport device, a rear roller, a servo control system, a front roller, a whisker, a detection device, a sliver coiling device and a sliver tube arranged in sequence, the servo control system includes a middle roller and a servo motor, the middle roller is driven by a servo motor, the speed sensor and the detection device are respectively connected to a central processing unit, and the central processing unit controls the servo motor.

[0032] Preferably, the detection device is a microwave detection device, including a microwave signal emitting element, a strip channel, a microwave resonant cavity, a microwave signal receiving element, a microwave signal generator and a microwave signal demodulator. The strip channel is located at the center of the microwave detection device, and the strips are arranged through the strip channel. The microwave signal generator and the microwave signal demodulator are symmetrically arranged on both sides of the strip channel. The microwave signal generator is connected to the microwave signal emitting element, and the microwave signal demodulator is connected to the microwave signal receiving element. The microwave signal emitting element and the microwave signal receiving element are respectively located in the microwave resonant cavity.

[0033] In the present invention, the movement law of the middle roller is the key. When the machine is just started, the detection device begins to detect the sliver quality. The movement of the middle roller is determined according to the drafting ratio of the rear zone and the rear roller speed detected by the speed sensor, that is, it is carried out according to the original operation law of the combing machine drafting mechanism. When the sliver quality detected by the detection device does not reach the target threshold for optimizing the sliver quality, the movement law of the drafting roller is obtained according to the quality data, and an optimized movement law is superimposed on the rotation law of the middle roller. The two together determine the movement law of the middle roller to optimize the sliver quality.

[0034] The advantages of the present invention compared with the prior art are:

[0035] (1) The present invention optimizes the combed sliver in non-real-time by adjusting the rotation speed of the middle roller (the non-real-time optimization method refers to the method of first detecting the sliver quality data, and then optimizing the sliver quality by adjusting the movement law of the middle roller after mastering the sliver quality movement law), and repeats the optimization process until the target threshold requirement of the sliver quality optimization is reached, and the sliver optimization is completed. The use of this method to optimize the sliver does not affect the normal operation of the combing machine when the sliver quality does not meet the standard, which is convenient for later transformation and upgrading. It can also effectively eliminate the adverse effects of overlapping waves, reducing drafting waves, reducing delay time and leveling dead zones on optimizing sliver quality during optimization.

[0036] (2) The detection device of the present invention adopts non-contact microwave detection, which is insensitive to factors such as air temperature and humidity, light intensity, and vehicle body vibration, and has high detection accuracy, which is sufficient to meet the requirements of online high-speed detection of combed yarns. It is also easy to install and can be installed in a position that does not affect the operation of the combing machine locomotive. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The present invention will be described in detail below with reference to the accompanying drawings and in combination with examples, and the advantages and implementation methods of the present invention will become more obvious. The contents shown in the accompanying drawings are only used to explain the present invention and do not constitute any limitation to the present invention in any sense. In the accompanying drawings:

[0038] Figure 1 is a flow chart of the steps of the present invention;

[0039] Figure 2 It is a schematic diagram of the structure of the present invention;

[0040] Figure 3 It is a schematic structural diagram of the microwave detection device of the present invention.

[0041] In the figure:

[0042] 1-central processing unit; 2-sliver transport device; 3-speed sensor; 4-rear roller; 5-servo drive system; 5-1-servo motor; 5-2-middle roller; 6-front roller; 7-sliver; 8-detection device; 9-sliver coiling device; 10-sliver can; I-microwave signal transmitting element; II-sliver channel; III-microwave resonant cavity; IV-microwave signal receiving element; V-microwave signal generator; VI-sliver; VII-microwave signal demodulator. DETAILED DESCRIPTION

[0043] The present invention is further described in detail below in conjunction with specific implementation modes.

[0044] like Figure 1 As shown, a combed sliver evenness detection optimization method comprises the following steps:

[0045] S101, when the combing machine is in good operation, the optimization system starts to run. Good operation means that there is no damage to the components in the equipment, and the dry quality of the whiskers will not generate mechanical waves due to the damage of equipment components, or the generated mechanical waves are very small and will not have a significant impact on the subsequent data analysis;

[0046] S102, setting a target threshold for optimizing the bar quality;

[0047] The target threshold for optimizing the yarn dryness quality can be set according to user requirements, for example, to achieve an optimization effect of 20% to 30% on the existing yarn dryness, or to set it according to the requirements that the yarn dryness quality should reach. Here, the threshold value is not set as a fixed value.

[0048] S103, collecting the bar quality data of several process cycles by the detection device;

[0049] The detection device can be installed at the finished sliver exit of the combing machine, and can detect the sliver quality data and provide a sliver quality data detection report, namely step S107.

[0050] The detection device can also be installed at the visible exit of the yarn after the drafting area, and the installation position can be carried out without affecting the operation of the machine itself. The specific position can be arranged according to the assembly status of each component of the spinning equipment.

[0051] Since the detection device can detect analog data, the analog data must be converted into parameters related to the yarn quality. Figure 3 As shown, the detection device is a microwave detection sensor. The resonant frequency of the microwave resonant cavity of the microwave detection sensor will change with the uniformity of the combed sliver, and its uniformity is based on the change of the dielectric constant. When the microwave detection sensor detects the quality of the sliver, it detects based on the function model of the resonant frequency and the dielectric constant. In this embodiment, the dielectric constant of the combed sliver is composed of three parts, including air, cotton fiber and water, and its size is determined according to the dielectric constant of the combed sliver according to formula (1):

[0052]

[0053] Among them, ε, ε D , ε W , ε A are the dielectric constants of combed sliver, cotton fiber, water and air respectively, and v D 、v W 、v A are the volume percentages of cotton fiber, water and air in the combed sliver respectively. α is an empirical parameter, which can be taken as 0.5 here.

[0054] Since the effect of air on the dielectric constant of the combed sliver is very small and can be ignored, the moisture content of the combed sliver is expressed as formula (2): moisture content of the combed sliver:

[0055]

[0056] Among them, m W and m D Represent the mass of water and cotton fiber respectively. According to the relationship between density, volume and mass, as well as formula (1) and formula (2), the functional relationship between dielectric constant and density is deduced, that is, the relationship model between dielectric constant and density is given by formula (3):

[0057]

[0058] Among them, ρ, ρ D , W are respectively the density of the combed sliver, the cotton fiber and the dielectric constant. The dielectric constant and the resonant frequency form a definite relationship with the resonant cavity equivalent circuit. In this embodiment, the relationship model is the relationship model between the resonant frequency of the microwave resonant cavity and the dielectric constant of the combed sliver:

[0059]

[0060] Among them, L, C 0 , C 1 , C 2 All of them are fixed constants. Combining the above relationship, we can get the mathematical model between the density of the combed strip and the resonant frequency. According to the change of the density of the combed strip, we can get the change of parameters such as the CV value of the strip and the linear density.

[0061] S104, comparing the data obtained in S103 with the target threshold for optimizing the strand quality;

[0062] Because there will always be a small amount of data outside the set threshold range, an error range should be set to allow certain values ​​to fall outside the error range to prevent too many optimization runs in order to eliminate data that does not affect the yarn quality. The following steps should be performed based on the above situation to determine whether the data meets the threshold requirements.

[0063] S105, analyzing and processing the data to obtain the motion law of the drafting roller;

[0064] The data analysis and processing includes data processing processes such as curve fitting for the analog data. The curve fitting of the analog quality data is solved by the least squares curve fitting function polyfit in the Matlab mathematical software to obtain the continuous change curve of the CV value of the analog quality data changing with time, and the movement law of the stretching roller is adjusted according to the periodic change law of the curve.

[0065] The movement law of the above-mentioned stretching rollers includes the change law of the front zone stretch ratio, the rear zone stretch ratio and the total stretch ratio. Because the front zone stretch ratio and the total stretch ratio involve too many moving parts and are not easy to change, that is, there are too many moving parts involved in the adjustment of the front roller movement and the rear roller movement law. Therefore, it is chosen to adjust the middle roller movement law to optimize the yarn quality, and the change law of the stretch ratio in the stretching zone needs to be set under the standard of optimizing the yarn quality threshold.

[0066] Since the combing machine generally operates at a certain number of clamps, the produced slivers are accompanied by periodic waves that change regularly in a certain period. According to the periodic waves reflected in the data, the motion law of the drafting roller is adjusted to eliminate the periodic waves to achieve the purpose of optimizing the quality of the sliver, and finally the motion law of the drafting roller in a process cycle is obtained. The time of the process cycle can be limited to 1 minute, and the specific cycle time is set according to the corresponding time of the periodic wave reflected in the data.

[0067] S106, adjusting the movement law of the middle roller to optimize the yarn quality in non-real time.

[0068] Adjustment of the middle roller motion law refers to superimposing an optimized speed law on the original middle roller motion law through servo motor control to cater to the motion law of the drafting roller obtained after data analysis and processing, thereby optimizing the yarn quality. When the middle roller speed is not adjusted, the middle roller moves normally according to the original motion law.

[0069] A speed sensor is installed at the rear roller moving position to detect the rear roller speed V 1 , according to the back zone draft ratio F 1 The original operating law of the middle roller can be obtained: W = F 1 *V 1 The initial start-up time without optimizing the dry quality is controlled by the servo motor according to this law. When optimizing the dry quality, according to the obtained motion law of the drafting roller, an optimized speed motion law M is set for the middle roller, and the middle roller movement is controlled by the servo motor. Its motion law is: W = F 1 *V 1 +M.

[0070] The motion law of the middle roller is servo-regulated, and the obtained motion law of the middle roller is transmitted to the servo motor, and the servo motor directly drives the middle roller to rotate to optimize the yarn quality.

[0071] The optimization process needs to be repeatedly run to reach the strip quality optimization threshold requirement. The optimization times are set for the purpose of repeatedly running the optimization process to reach the strip quality threshold requirement, so as to control the stability of the strip quality data.

[0072] S107, provide a strip quality test report;

[0073] The yarn quality inspection report can display various parameters such as yarn uniformity, yarn linear density, yarn breaking strength, etc. Users can select and extract them according to their needs.

[0074] S108, the strip length optimization is completed.

[0075] like Figure 2 As shown, the detection system of the present invention is installed on a combing machine for explanation, and includes a sliver transport device 2, a rear roller 4, a servo control system 5, a front roller 6, a sliver 7, a detection device 8, a sliver coiling device 9 and a sliver tube 10 which are arranged in sequence, the servo control system 5 includes a middle roller 5-2 and a servo motor 5-1, the middle roller 5-2 is driven by the servo motor 5-1, the speed sensor 3 and the detection device 8 are respectively connected to the central processing unit 1, and the central processing unit 1 controls the servo motor 5-1.

[0076] The detection device 8 is a microwave detection device, including a microwave signal emitting element I, a strip channel II, a microwave resonant cavity III, a microwave signal receiving element IV, a microwave signal generator V and a microwave signal demodulator VII. The strip channel II is located at the center of the microwave detection device, and the strip VI is arranged through the strip channel II. The microwave signal generator V and the microwave signal demodulator VII are symmetrically arranged on both sides of the strip channel II. The microwave signal generator V is connected to the microwave signal emitting element I, and the microwave signal demodulator VII is connected to the microwave signal receiving element IV. The microwave signal emitting element I and the microwave signal receiving element IV are respectively located in the microwave resonant cavity III.

[0077] In the present invention, the movement law of the middle roller is the key. When the machine is just started, the detection device 8 begins to detect the sliver quality. The movement of the middle roller is determined according to the drafting ratio of the rear zone and the rear roller speed detected by the speed sensor, that is, it is carried out according to the original operation law of the combing machine drafting mechanism. When the sliver quality detected by the detection device 8 does not reach the target threshold for optimizing the sliver quality, the movement law of the drafting roller is obtained according to the quality data, and an optimized movement law is superimposed on the rotation law of the middle roller. The two together determine the movement law of the middle roller to optimize the sliver quality.

[0078] Preferably, the detection device 8 is installed at the outlet of the finished product of the combing machine, which can collect data on the quality of the strips and provide an online quality report of the strips. The quality report can provide customers with parameter indicators such as the uniform CV value of the strips. The optimization threshold of the strip quality can be reasonably set according to customer requirements.

[0079] Preferably, the central processing unit includes a digital controller with a human-machine interface, such as a DDC digital controller, an embedded industrial controller, an industrial computer, or a PLC programmable controller.

[0080] The embodiments of the present invention are described in detail above, but the contents described are only preferred embodiments of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of this patent.

Claims

1. A combed sliver evenness detection optimization method, characterized in that: The steps include: S101, when the combing machine is in good operation, the optimization system starts to operate; S102, setting a target threshold for optimizing the bar quality; S103, collecting the bar quality data of several process cycles by a detection device; wherein the detection device can detect the bar quality data and provide a bar quality data detection report; S104, comparing the data obtained in step S103 with the target threshold of the strand quality optimization, if the threshold is reached, the strand quality optimization is completed, if the threshold is not reached, proceeding to step S105; S105, analyzing and processing the data to obtain the motion law of the drafting roller; S106, adjusting the movement law of the middle roller to optimize the yarn quality in non-real time; The optimization process needs to be run repeatedly to reach the threshold requirement of the strip quality optimization. The optimization times are set for the purpose of repeatedly running the optimization process to reach the threshold requirement of the strip quality, so as to control the stability of the strip quality data. In step S103, the detection device is a microwave detection sensor. The resonant frequency of the microwave resonant cavity of the microwave detection sensor will change with the uniformity of the combed sliver. The uniformity is based on the change of the dielectric constant. When the microwave detection sensor detects the sliver quality, it detects based on the function model of the resonant frequency and the dielectric constant. The dielectric constant of the combed sliver consists of three parts, including air, cotton fiber and water. The dielectric constant of the combed sliver is determined according to the formula (1): （1） Among them, ε, ε D , ε W , ε A are the dielectric constants of combed sliver, cotton fiber, water and air respectively, and v D 、v W 、v A are the volume percentages of cotton fiber, water and air in the combed sliver respectively, and α is an empirical parameter; Since the effect of air on the dielectric constant of the combed sliver is very small and can be ignored, the moisture content of the combed sliver is expressed as formula (2): moisture content of the combed sliver: （2） Among them, m W and m D Represent the mass of water and cotton fiber respectively. According to the relationship between density, volume and mass, as well as formula (1) and formula (2), the functional relationship between dielectric constant and density is deduced, that is, the relationship model between dielectric constant and density is given by formula (3): （3） in, ρ、ρ D , W are the density of combed sliver, cotton fiber and water respectively. The dielectric constant and the resonant frequency have a definite relationship with the resonant cavity equivalent circuit. α is , and its relationship model is formula (4) The relationship model between the resonant frequency of the microwave resonant cavity and the dielectric constant of the combed sliver: （4） Among them, L, C0, C1, and C2 are all fixed constants. Combining the above formula, the mathematical model between the density of the combed strip and the resonant frequency can be obtained, and the CV value of the strip and the change of the linear density parameters can be obtained according to the change of the strip density of the combed strip.

2. The combed sliver evenness detection and optimization method according to claim 1, characterized in that: In step S105, the data analysis and processing includes a data processing flow of curve fitting for the analog data. The curve fitting of the strip mass simulation data is performed by using the function polyfit in the Matlab mathematical software to solve the least squares curve fitting, and a continuous change curve of the CV value of the strip mass simulation data changing with time is obtained, and the motion law of the drafting roller is adjusted according to the periodic change law of the curve.

3. The combed sliver evenness detection and optimization method according to claim 2, characterized in that: The movement law of the middle roller is adjusted to optimize the yarn quality, and the change law of the draft ratio in the drafting zone must be set under the standard of optimizing the yarn quality threshold.

4. The combed sliver evenness detection and optimization method according to claim 3, characterized in that: In step S106, the adjustment of the motion law of the middle roller refers to superimposing an optimized speed law on the basis of the original motion law of the middle roller through servo motor control to cater to the motion law of the stretching roller obtained after data analysis and processing, so as to optimize the quality of the yarn. When the speed of the middle roller is not adjusted, the middle roller moves normally according to the original motion law.

5. The combed sliver evenness detection and optimization method according to claim 4, characterized in that: A speed sensor is installed at the movement position of the rear roller to detect the rear roller speed V1. According to the requirement of the rear zone drafting ratio F1, the original operation law of the middle roller can be obtained: W=F1*V1. The initial start-up time without optimizing the dry quality of the strips is controlled by the servo motor to operate normally according to this law. When optimizing the dry quality of the strips, an optimized speed movement law M is set for the middle roller according to the obtained drafting roller movement law. The movement of the middle roller is controlled by the servo motor, and its movement law is: W= F1*V1+M.

6. A combed sliver evenness detection and optimization system, used to implement the combed sliver evenness detection and optimization method according to claim 1, characterized in that: The invention comprises a detection system, which is installed on a combing machine and includes a sliver transport device, a rear roller, a servo control system, a front roller, a whisker, a detection device, a sliver coiling device and a sliver tube which are arranged in sequence. The servo control system includes a middle roller and a servo motor, the middle roller is driven by a servo motor, a speed sensor and a detection device are respectively connected to a central processing unit, and the central processing unit controls the servo motor.

7. The combed sliver evenness detection and optimization system according to claim 6, characterized in that: The detection device is a microwave detection device, including a microwave signal transmitting element, a strip channel, a microwave resonant cavity, a microwave signal receiving element, a microwave signal generator and a microwave signal demodulator. The strip channel is located at the center of the microwave detection device, and the strips are arranged to pass through the strip channel. Microwave signal generators and microwave signal demodulators are symmetrically arranged on both sides of the strip channel. The microwave signal generator is connected to the microwave signal transmitting element, and the microwave signal demodulator is connected to the microwave signal receiving element. The microwave signal transmitting element and the microwave signal receiving element are respectively located in the microwave resonant cavity.

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