TWI705251B - Sensing system and sensing signal measuring method thereof - Google Patents

Abstract

A sensing system and a sensing signal measuring method thereof are provided. The sensing system includes a signal source, a connecting device, a frequency sweep circuit, and a controller. In the method, the signal source is activated to generate a specific signal. The controller controls the frequency sweep circuit to switch a frequency band of a frequency sweep signal to a frequency band corresponding to each of a plurality of types of multi-point sensors. The controller receives a sensor signal of each of the multi-point sensor by the connecting device, wherein the sensor signal is a variation of a measurement signal output by the multi-point sensor in response to the specific signal and the frequency sweep signal, and wherein the measurement signal is one of an electromagnetic wave signal and a mechanical wave signal. The controller executes an adaptive algorithm on the sensor signal to construct correspondence between characteristic values of each multi-point sensor and positions of the first frequency band and record the same in a database.

Description

Sensing system and its sensing signal measuring method

The invention relates to a sensing system and a sensing signal measurement method.

Multi-point sensors or array sensors have been widely used in fields such as touch, electronic skin, pressure sensing, electromagnetic field sensing, distance sensing, etc. For example, Electric connects electrodes around objects sprayed with conductive spray, and uses the principles of current shunting and phase delay to determine the touch position; radio frequency (RF)-based gesture input devices use the time zone reflection method (Time Domain Reflectometry, TDR) to measure gestures.

For the measurement system using the above-mentioned multi-point sensors, each sensor can be equivalent to a time-varying transfer function, and this transfer function has many resonance frequency characteristics that can be caused by white noise (white noise). ), square wave (square wave), impulse wave (impulse) and other specific signals or specific frequency signal excitation. Among them, due to the different nature of the measurement signals (such as electromagnetic waves, ultrasonic waves, light waves, mechanical waves, etc.), the wave speeds of the measurement signals are different, the applicable measurement applications are also different, and the response frequency is easily affected by the process or use environment . Therefore, how to reduce the variation range of various sensors is one of the important issues to be solved at present.

The embodiments of the present invention provide a sensing system and a sensing signal measurement method thereof, which can reduce the magnitude of the sensor response frequency affected by the manufacturing process or the environment and is widely used in various types of multi-point sensors.

The sensing signal measurement method of the embodiment of the present invention is suitable for a sensing system having a signal source, a connecting device, a frequency sweep circuit and a controller. The method includes the following steps: activating the signal source to generate a specific signal; controlling the frequency sweep circuit by the controller to switch the frequency band of the frequency sweep signal to at least one first frequency band corresponding to each of the multiple multipoint sensors; The controller uses the connecting device to receive the sensor signal of each multi-point sensor, where the sensor signal is the variation of the measurement signal and the sweep signal output by each multi-point sensor in response to a specific signal, and this measurement The signal is one of electromagnetic wave signal and mechanical wave signal; and the controller executes an adaptive algorithm on the sensor signal to construct the corresponding relationship between the characteristic value of each multi-point sensor and the position of the first frequency band and record it in database.

The sensing system of the embodiment of the present invention includes a signal source, a connection device, a frequency sweep circuit and a controller. Among them, the connecting device is used to couple multiple multi-point sensors, and the signal source is used to generate a specific signal. The frequency sweep circuit is used to generate a frequency sweep signal. The controller is coupled to the connection device and the frequency sweep circuit, controls the frequency sweep circuit to switch the frequency band of the frequency sweep signal to at least one first frequency band corresponding to each multipoint sensor, and uses the connection device to receive the signal of each multipoint sensor Sensor signal, where the sensor signal is the variation of the measurement signal and the sweep signal output by each multi-point sensor in response to a specific signal. The measurement signal is one of the electromagnetic wave signal and the mechanical wave signal. The sensor signal executes an adaptive algorithm to construct the corresponding relationship between the characteristic value of each multi-point sensor and the position of the first frequency band and record it in the database.

In order to make the present invention more comprehensible, the following specific embodiments are given in conjunction with the accompanying drawings to describe in detail as follows.

The disclosed embodiment proposes a measurement system with a signal generation and frequency shift circuit, which combines frequency shift control, adaptive algorithm calculation, and specific physical quantity correction techniques in the initial frequency sweep process to establish a relationship between the physical quantity and the measurement signal A database of relative relationships. Thereby, in actual measurement, the frequency shift range can be adjusted adaptively according to the physical quantity to be measured, so as to reduce the impact of process and environmental issues, and improve the accuracy of the measured physical quantity.

FIG. 1 is a block diagram of a sensing system according to an embodiment of the disclosure. Please refer to Figure 1, the sensing system 10 can be applied to sensing such as touch, hardness, pressure, distance, etc., virtual reality (Virtual Reality, VR) / augmented reality (Augmented Reality, AR) / mixed reality Reality (Mixed Reality, MR), or robotic arm sensing, biological signal detection and other fields. The sensing system 10 includes a signal source 12, a connecting device 14, a mixer 16, a frequency sweep circuit 18, and a controller 20, and its functions are described as follows:

The signal source 12 is, for example, a signal generator that can generate specific signals such as white noise, square waves, impulse waves, or specific frequency signals. By sending the specific signal to the multipoint sensor 1, different types of multipoint sensors 1 can generate measurement signals in response to the frequency of the specific signal.

The connecting device 14 is, for example, coupled to a variety of multipoint sensors 1 in a wired or wireless manner to receive measurement data output by each multipoint sensor 1. Among them, for the wired mode, the connection device 14 may be a universal serial bus (USB), RS232, a universal asynchronous receiver/transmitter (UART), and an internal integrated circuit (I2C). ), serial peripheral interface (SPI), display port (display port), thunderbolt (thunderbolt) or local area network (LAN) interface, but not limited to this. For wireless methods, the connection device 14 may support wireless fidelity (Wi-Fi), RFID, Bluetooth, infrared, near-field communication (NFC), or device-to-device (device-to-device). -device, D2D) and other communication protocol devices are not limited to this. In addition, the multi-point sensor 1 is a sensor that can support multi-feature point sensing, such as a touch sensor that can detect the position of a touch point on a touch panel, or can detect temperature and pressure Sensors for physical quantities such as, gravity, etc., are not limited here.

The frequency sweep circuit 18 can, for example, generate a frequency sweep signal for a given frequency band to measure the characteristics of the circuit under test (such as impedance characteristics or transmission characteristics), and can be used to adjust and calibrate the circuit under test. In this embodiment, the frequency sweep circuit 18 can be controlled by the controller 20 to switch the frequency band of the generated frequency sweep signal accordingly.

The mixer 16 is used to generate a new signal whose frequency is subtracted from the two signals applied to it. In this embodiment, the mixer 16 is used to calculate the variation between the sweep signal and the measurement signal output by the multipoint sensor 1 and output the calculation result to the controller 20. In other embodiments, the mixer 16 can also be built in the controller 20, or the controller 20 can execute software to implement its functions, without limiting its implementation.

The controller 20 is coupled to the frequency sweep circuit 18 and the mixer 16, which is, for example, a central processing unit (CPU), a microcontroller (Microcontroller unit, MCU), a microprocessor (Microprocessor), programmable control Device, application specific integrated circuit (Application Specific Integrated Circuits, ASIC), programmable logic controller (Programmable Logic Controller, PLC) or other similar devices or a combination of these devices, and can load and execute computer programs to execute The sensing signal measurement method of the embodiment of the present invention. In this embodiment, the controller 20 includes an analog-to-digital converter (ADC) 22 for capturing and converting the sensor signal and the sensor signal for converting into a digital signal A digital signal processor (DSP) 24 for processing, but not limited to this. In other embodiments, the analog-to-digital converter 22 can also be provided independently of the controller 20, and the controller 20 can also directly process the sensor signals without going through the digital signal processor 24.

FIG. 2 is a flowchart of a sensing signal measurement method according to an embodiment of the invention. Please refer to FIGS. 1 and 2 at the same time. The method of this embodiment is applicable to the above-mentioned sensing system 10. The detailed steps of the sensing signal measurement method of this embodiment are described below with various components of the sensing system 10.

In step S202, the signal source 12 is activated to generate a specific signal. In one embodiment, the signal source 12 is activated by the user or activated synchronously when the sensing system 10 is turned on, and after activation, it will permanently generate specific signals such as white noise, square wave, pulse wave, or have a specific frequency. Specific signal. The frequency range of the specific signal may, for example, cover the frequency response range of the multipoint sensor 1. That is, various multi-point sensors 1 can output measurement signals in response to this specific signal. In one embodiment, the signal source 12 can also be coupled to the controller 20, and a specific signal is generated under the control of the controller 20, which is not limited here.

In step S204, the controller 20 controls the frequency sweep circuit 18 to switch the frequency band of the frequency sweep signal to at least one first frequency band corresponding to each multipoint sensor 1. The controller 20, for example, determines the frequency band of the sweep signal according to the frequency range of the measurement signal output by each multipoint sensor 1, so that the frequency band of the sweep signal after switching can be close to the measurement signal output by the sensor. Frequency band. In one embodiment, based on the limited frequency range (for example, 200kHz to 1MHz) applicable to the analog-to-digital converter 22 in the controller 20 for capturing sensor signals, the controller 20 controls the frequency sweep circuit 18 to gradually switch the sweep. The frequency band of the frequency signal enables the frequency range of the variation between the sweep signal and the measurement signal to fall within the frequency range of the analog-to-digital converter 22.

For example, corresponding to the low frequency mechanical wave signal, the frequency band of the sweep signal can be switched to a lower and wider single frequency band; corresponding to the high frequency electromagnetic wave signal, the frequency band of the sweep signal can be switched to a higher frequency. Multiple high and narrow frequency bands. By switching the frequency band of the sweep signal to a frequency band close to the measurement signal of the multipoint sensor, and using the variation between the two as the sensor signal, the frequency range of the analog-to-digital converter is limited. In this case, it can still handle the measurement signals output by a variety of different multi-point sensors.

In step S206, the controller 20 uses the connecting device 14 to receive the sensor signals of each multipoint sensor 1. Among them, the multi-point sensor 1 responds to a specific signal from the signal source 12 to output a measurement signal to the mixer 16, and the measurement signal is one of an electromagnetic wave signal and a mechanical wave signal. On the other hand, the frequency sweep circuit 18 outputs the frequency sweep signal after switching to the mixer 16. The mixer 16 calculates the variation of the measurement signal and the sweep signal, and outputs the calculation result to the controller 20. For example, if the frequency of the measurement signal output by the multi-point sensor 1 is 1 MHz, the frequency of the sweep signal output by the sweep circuit 18 can be switched to 0.9 MHz, and the two signals are calculated by the mixer 16 After the mutation, it will be merged into 0.1 MHz and input to the controller 20.

In step S208, the controller 20 executes an adaptive algorithm on the sensor signal to construct the corresponding relationship between the characteristic value of each multi-point sensor 1 and the position of the first frequency band and record the corresponding relationship in the database . In this embodiment, the controller 20 uses, for example, a digital signal processor 24 to execute an adaptive algorithm, but it is not limited to this.

For the adaptive algorithm, the controller 20 uses, for example, the equivalent filter corresponding to each multipoint sensor 1 to calculate the sensor signal to calculate the characteristics of the equivalent filter of each multipoint sensor 1 The value is solved, and the obtained characteristic value and its corresponding position in the first frequency band are used to construct a corresponding relationship. The adaptive algorithm includes, but is not limited to, the least mean square (Least mean square, LMS) algorithm, the sign-data LMS (Sign-data LMS, SDLMS), and the sign-sign LMS (Sign-sign LMS) algorithm. , SSLMS), normalized least mean square (Normalized Least mean square, NLMS), delayed least mean square (delayed least mean square, DLMS) and other LMS algorithm variants, and recursive least square (Recursive Least square, RLS) , Levinson-Durbin recursion, Linear prediction coding and other algorithms.

For example, FIG. 3 shows the frequency response of the sensing signal according to an embodiment of the invention. Please refer to FIG. 3, this embodiment shows the frequency response waveforms of the sensing signals output by the multi-point pressure sensor under pressure and when it is not under pressure. The numbers 1-9 (as characteristic values) represent different pressing positions. , And by constructing a corresponding relationship between the above-mentioned characteristic value and its corresponding position in the frequency response, the actual pressure sensing value can be obtained by comparing the measured signal with the corresponding relationship during actual sensing.

With the above method, the sensing system 10 of the disclosed embodiment corresponds to the frequency range of different types of multi-point sensors 1, and by adjusting the frequency band of the sweep signal output by the sweep circuit 18, the frequency range can be matched The required sensor signal is used to calculate the characteristic value.

It should be noted that the sensing signal measurement method of the above-mentioned embodiment, for example, is constructed by the manufacturer of the sensing system for various multi-point sensors (physical quantities) before leaving the factory and records their characteristic values and measurement signal positions. The corresponding relationship. However, even if data has been constructed for various multi-point sensors before leaving the factory, there are still situations where the multi-point sensors need to be recalibrated based on different usage scenarios after leaving the factory. For example, for a smart garment equipped with a pressure sensor, when the user wears it for the first time, it is necessary to sense the pre-pressure exerted by the user's body on the smart garment in order to calibrate the pressure sensing value (return to zero) After that, when the pressure sensor receives external pressure, it can reflect the true pressure value. In this regard, the present disclosure provides an embodiment to correct and update the constructed data.

In detail, FIG. 4 is a flowchart of a sensor signal calibration method according to an embodiment of the invention. Please refer to FIG. 1, FIG. 2 and FIG. 4 at the same time. The method of this embodiment is followed by the method of FIG. 2 to further describe the calibration method of the sensing system 10. The following is a description of the present embodiment with various components of the sensing system 10 Example of the detailed steps of the sensing signal measurement method.

In step S402, the controller 20 selects the physical quantity to be measured. The controller 20, for example, selects the physical quantity to be measured when receiving the user's power-on operation of the sensing system 10 or the selection operation of the physical quantity.

In step S404, the controller 20 determines whether the selected physical quantity needs to be corrected for the initial value. Among them, if the selected physical quantity can directly correspond to the measurement signal output by the multi-point sensor 1 (that is, the change of the signal frequency directly corresponds to the change of the physical quantity), it can be judged that the selected physical quantity does not need to be corrected for the initial value, and enters Step S406: directly set the measurement of the selected physical quantity as the corresponding relationship between the characteristic value of the multi-point sensor 1 recorded in the reference database and the position of the first frequency band, to complete the initialization (step S412).

Conversely, if the initial value of the selected physical quantity changes according to different environments, it can be determined that the selected physical quantity needs to be corrected for the initial value, and step S408 is entered, and the controller 20 controls the frequency sweep circuit 18 to switch the frequency sweep signal to correspond to each At least one second frequency band of the multipoint sensor 1. In an embodiment, the range of each second frequency band is greater than or equal to the range of each first frequency band. In detail, compared to the conditions (temperature, pressure, etc.) of the environment in which it was tested before leaving the factory, the actual use environment changes relatively large after leaving the factory, and there are more factors that affect the measurement. Therefore, the frequency band of the sweep signal can be set to a narrower frequency band compared with the pre-factory test. When actually used after the factory, the frequency band of the sweep signal can be appropriately expanded to respond to the impact of environmental changes on the measurement signal (such as , The amplitude of the mechanical wave signal drift is larger, and the frequency range of the electromagnetic wave signal will increase under the influence of temperature).

In step S410, the controller 20 uses the connecting device 14 to receive the sensor signals of each multipoint sensor 1. The sensor signal is the variation of the measurement signal and the frequency sweep signal output by the multi-point sensor 1 in response to the specific signal, which is calculated by the mixer 16, for example.

In step S412, the controller 20 executes an adaptive algorithm on the sensor signal to construct the correspondence between the characteristic value of each multi-point sensor 1 and the position of the second frequency band, and use this correspondence to update the database . Finally, in step S414, the initialization is completed.

With the above method, the sensing system 10 of the disclosed embodiment can adaptively calibrate the correspondence between the characteristic value of the multi-point sensor 1 and the measurement signal position according to different use environments, thereby increasing the amount of the measured physical quantity Accuracy.

On the other hand, by constructing data for various multi-point sensors before leaving the factory, after leaving the factory, the sensing system can appropriately switch the frequency band of the sweep signal according to the physical quantity that the user needs to measure. The sensor signal is compared with the data in the database to obtain the corresponding physical quantity sensing value.

FIG. 5 is a flowchart of a sensing signal measurement method according to an embodiment of the invention. Please refer to FIG. 1, FIG. 2 and FIG. 5 at the same time. The method of this embodiment is followed by the method of FIG. 2 to further explain the actual measurement method of the sensing system 10. The following is a description of the components of the sensing system 10 The detailed steps of the sensing signal measurement method of this embodiment.

In step S502, the controller 20 selects the physical quantity to be measured. The controller 20, for example, selects the physical quantity to be measured when receiving the user's power-on operation of the sensing system 10 or the selection operation of the physical quantity.

In step S504, the controller 20 controls the frequency sweep circuit 18 to switch the frequency sweep signal to the first frequency band of the multipoint sensor 1 corresponding to the physical quantity to be measured. Wherein, the controller 20, for example, queries the database to know which multi-point sensor needs to be used to measure the physical quantity and the frequency band to which the multi-point sensor is applicable, and accordingly controls the frequency sweep circuit 18 Switch the sweep signal switch.

In step S506, the controller 20 uses the connecting device 14 to receive the sensor signal, and uses the analog-to-digital converter 22 to retrieve the sensor signal. The sensor signal is, for example, the variation between the measurement signal output by the multi-point sensor 1 in response to the specific signal from the signal source 12 and the frequency sweep signal output by the frequency sweep circuit 18. In detail, the controller 20, for example, sets the acquisition frequency of the analog-to-digital converter 22 to acquire the sensor signal to at least twice the frequency response range of the design of the object under test (for example, the frequency response range of the physical quantity to be measured) ) The maximum value of the frequency band after frequency shifting, and the sensor signal is captured as a discrete digital signal, and then the captured discrete digital signal is collected with a specific number of data points at least a specific value (for example, 10,000 points) , To perform an adaptive algorithm on this data to solve the eigenvalues.

In detail, in step S508, the controller 20 executes a corresponding adaptive algorithm on the sensor signal to obtain the characteristic value of the equivalent filter of the multipoint sensor 1. In one embodiment, the above-mentioned adaptive algorithm is executed by the digital signal processor 24 in the controller 20, and the above-mentioned equivalent filter is, for example, a lattice structure filter, which is not set here. limit.

In step S510, the controller 20 compares the obtained characteristic value with the corresponding relationship of the multi-point sensor 1 recorded in the database to obtain the corresponding physical quantity sensing value.

With the above method, the sensing system 10 of the disclosed embodiment can appropriately adjust the frequency band of the sweep signal according to the physical quantity to be measured according to the pre-established database to obtain the sensor signal and calculate the characteristic value. By comparing the characteristic value with the database data, the corresponding physical quantity sensing value can be obtained.

In summary, the sensing system and the sensing signal measurement method of the embodiments of the present invention use a signal source to output a specific signal and combine the frequency shift operation of a frequency sweep circuit to measure different types of multi-point sensors The signal is initialized, so that the sensing system of the embodiment of the present invention can achieve a certain versatility. In addition, in view of the problem that the response frequency of the sensor is easily affected by the manufacturing process or the use environment, the embodiment of the present invention further uses an adaptive algorithm to With the initial frequency sweep process, the variation range caused by the above factors can be reduced, and the accuracy of the measured physical quantity can be improved.

Although the present invention has been disclosed in the above embodiments, it is not intended to limit the present invention. Anyone with ordinary knowledge in the technical field can make some changes and modifications without departing from the spirit and scope of the present invention. The scope of protection of the present invention shall be determined by the scope of the attached patent application.

1: Multi-point sensor 10: Sensing system 12: Signal source 14: Connect the device 16: mixer 18: Sweep frequency circuit 20: Controller 22: Analog-to-digital converter 24: Digital signal processor S202~S208, S402~S412, S502~S510: steps

FIG. 1 is a block diagram of a sensing system according to an embodiment of the disclosure. FIG. 2 is a flowchart of a sensing signal measurement method according to an embodiment of the invention. FIG. 3 is a frequency response of a sensing signal according to an embodiment of the invention. FIG. 4 is a flowchart of a sensor signal calibration method according to an embodiment of the present invention. FIG. 5 is a flowchart of a sensing signal measurement method according to an embodiment of the invention.

S202~S208: steps

Claims (20)

A sensing signal measurement method is suitable for a sensing system having a signal source, a connecting device, a frequency sweep circuit and a controller, and the method includes the following steps: Activating the signal source to generate a specific signal; The controller controls the frequency sweep circuit to switch the frequency band of the frequency sweep signal to at least one first frequency band corresponding to each of the multiple multipoint sensors; The controller uses the connecting device to receive the sensor signal of each of the multipoint sensors, wherein the sensor signal is a measurement output by the multipoint sensor in response to the specific signal The variation of the signal and the frequency sweep signal, and the measurement signal is one of an electromagnetic wave signal and a mechanical wave signal; and The controller executes an adaptive algorithm on the sensor signal to construct the corresponding relationship between the characteristic value of each of the multi-point sensors and the position of the first frequency band and record it in a database. The method described in item 1 of the scope of patent application, wherein the controller controls the frequency sweep circuit to switch the frequency band of the frequency sweep signal to correspond to each of the multiple multipoint sensors. The steps of the first frequency band of the device include: The controller controls the frequency sweep circuit to switch the frequency band of the frequency sweep signal, so that the frequency range of the variation of the frequency sweep signal and the measurement signal is used in the controller to capture all The sensor signal is within the frequency range of the analog-to-digital converter. The method according to claim 2, wherein the controller executes an adaptive algorithm on the sensor signal to construct the characteristic value of each of the multi-point sensors and the first After the corresponding relationship between the positions of the frequency bands is recorded in the database, it further includes: The controller controls the frequency sweep circuit to switch the frequency band of the frequency sweep signal to the first frequency band of the multi-point sensor corresponding to the physical quantity to be measured, and uses the analog to digital conversion The sensor captures the sensor signal; The controller executes the corresponding adaptive algorithm on the sensor signal to obtain the characteristic value of the equivalent filter of the multi-point sensor; and The obtained characteristic value is compared with the corresponding relationship of the multi-point sensor recorded in the database to obtain a corresponding physical quantity sensing value. The method according to claim 1, wherein the controller executes an adaptive algorithm on the sensor signal to construct the characteristic value of each of the multi-point sensors and the first frequency band The steps of the corresponding relationship of the position include: The controller uses the equivalent filter corresponding to each of the multipoint sensors to calculate the sensor signal to solve the characteristics of the equivalent filter of each of the multipoint sensors Value, and construct the correspondence relationship with the position of the characteristic value in the first frequency band and the corresponding characteristic value. According to the method described in item 1 of the scope of the patent application, the controller uses a built-in digital signal processor (DSP) to execute the adaptive algorithm. According to the method described in claim 1, wherein the controller performs an adaptive algorithm on the sensor signal to construct the characteristic value of each of the multi-point sensors and the first After the corresponding relationship between the positions of the frequency bands is recorded in the database, it further includes: Select the physical quantity to be measured, and determine whether the selected physical quantity needs to be corrected to the initial value; and If calibration is required, the controller controls the frequency sweep circuit again to switch the frequency band of the frequency sweep signal to at least one second frequency band of the multipoint sensor corresponding to the object quantity, and calculates The variation of the sweep signal and the measurement signal is used as a sensor signal, and the adaptive algorithm is executed on the sensor signal to construct the characteristic value of the multi-point sensor and the The corresponding relationship of the position of the second frequency band is used to update the database. The method according to item 6 of the scope of patent application, wherein the range of each of the second frequency bands is greater than or equal to the range of each of the first frequency bands. As the method described in item 6 of the scope of patent application, the steps of selecting the physical quantity to be measured include: A user's power-on operation of the sensing system or a selection operation of the physical quantity is received to select the physical quantity to be measured. According to the method described in item 1 of the scope of patent application, the specific signal includes white noise, square wave, impulse, or specific frequency signal. The method described in item 1 of the scope of patent application, wherein the adaptive algorithm includes Least Mean Square (LMS), Sign-data LMS (Sign-data LMS, SDLMS), Sign-Symbol Minimum Mean square (Sign-sign LMS, SSLMS), normalized least mean square (Normalized Least mean square, NLMS), delayed least mean square (DLMS), recursive least square (Recursive Least square, RLS), Levinson-Durbin recursion or Linear prediction coding algorithm. A sensing system includes: Signal source, which generates a specific signal; Connecting device to couple multiple multi-point sensors; Sweep circuit to generate sweep signal; and A controller, coupled to the connecting device and the frequency sweep circuit, controls the frequency sweep circuit to switch the frequency band of the frequency sweep signal to at least one first frequency band corresponding to each of the multipoint sensors, and The connection device is used to receive the sensor signal of each of the multipoint sensors, wherein the sensor signal is the measurement signal output by each of the multipoint sensors in response to the specific signal and the The variation of the frequency sweep signal, the measurement signal is one of electromagnetic wave signal and mechanical wave signal, and an adaptive algorithm is performed on the sensor signal to construct the characteristic value and the characteristic value of each of the multi-point sensors The corresponding relationship of the position of the first frequency band is also recorded in the database. The sensing system according to item 11 of the scope of patent application, wherein the controller includes an analog-to-digital converter, and the controller controls the sweep circuit to switch the frequency band of the sweep signal so that the sweep The frequency range of the variation between the signal and the measurement signal is within the frequency range used by the analog-to-digital converter to capture the sensor signal. The sensing system described in item 12 of the scope of patent application, wherein the controller controls the frequency sweep circuit to switch the frequency band of the frequency sweep signal to the multipoint sensor corresponding to the physical quantity to be measured The first frequency band, and the sensor signal is captured by the analog-to-digital converter, and the corresponding adaptive algorithm is executed on the sensor signal to obtain the multi-point sensing The characteristic value of the equivalent filter of the sensor, and comparing the obtained characteristic value with the corresponding relationship of the multi-point sensor recorded in the database to obtain the corresponding physical quantity Sensed value. The sensing system described in item 11 of the scope of patent application, wherein the controller uses the equivalent filter corresponding to each of the multi-point sensors to calculate the sensor signal to solve each of the The characteristic value of the equivalent filter of the multipoint sensor, and the corresponding relationship is constructed based on the position of the characteristic value in the first frequency band and the corresponding characteristic value. The sensing system according to item 11 of the scope of patent application, wherein the controller includes a digital signal processor, and the digital signal processor is used to execute the adaptive algorithm. The sensing system described in item 11 of the scope of patent application, wherein the controller selects the physical quantity to be measured, and determines whether the selected physical quantity needs to be corrected to the initial value, and when correction is required, re-controls the The frequency sweep circuit switches the frequency band of the frequency sweep signal to at least one second frequency band corresponding to the multipoint sensor corresponding to the object quantity, and calculates the variation of the frequency sweep signal and the measurement signal to As a sensor signal, and execute the adaptive algorithm on the sensor signal to construct the corresponding relationship between the characteristic value of the multi-point sensor and the position of the second frequency band and to update the database. The sensing system according to item 16 of the scope of patent application, wherein the range of each of the second frequency bands is greater than or equal to the range of each of the first frequency bands. The sensing system according to the 16th patent application, wherein the controller receives a user's power-on operation of the sensing system or a selection operation of the physical quantity to select the physical quantity to be measured. The sensing system according to the 16th patent application, wherein the specific signal includes white noise, square wave, pulse wave or specific frequency signal. The sensing system as described in item 16 of the scope of patent application, wherein the adaptive algorithm includes least mean square, symbol-data least mean square, symbol-symbol least mean square, normalized least mean square, delay least mean square , Recursive least squares, Levenson-Durbin recursive or linear predictive coding algorithms.

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