Non-reciprocal dynamic positive-negative dissipation difference detection method and system

Abstract

The application discloses a non-reciprocal dynamic positive-negative dissipation differential detection method and system, and the method comprises the following steps: subjecting a to-be-detected physical quantity and a reference physical quantity to transduction processing to obtain corresponding electric parameter signals; controlling a dynamic detection circuit to be in a coupling state, and adjusting a dissipation adjustment branch under the corresponding coupling state to make the dynamic detection circuit be in a dissipation state, and acquiring dynamic response data generated by a corresponding state node based on the coupling state and the dissipation state; and performing double-differential processing on the first differential response quantity and the second differential response quantity to obtain a physical signal detection result. The application sets non-reciprocal coupling states and reciprocal coupling states, so that the detection process has the direction-dependent dynamic detection and reciprocal contrast detection capabilities at the same time, and the double-differential processing is used to suppress the reciprocal background response and extract a weak physical response change quantity caused by the direction-dependent dynamic propagation.

Description

Technical Field

[0001] This invention relates to the field of signal detection technology, and in particular to a non-reciprocal dynamics positive and negative dissipation differential detection method and system. Background Technology

[0002] The detection of weak physical signals is in high demand in fields such as environmental monitoring, biomedical diagnostics, and precision measurement. Traditional methods mainly rely on high-gain amplifiers or lock-in amplifiers to improve the signal-to-noise ratio by suppressing noise or extracting specific frequency components. However, due to limitations in the amplifier's own noise floor, temperature drift, and nonlinear distortion, it is difficult to distinguish common-mode interference with the same frequency as the signal under test, and the detection sensitivity encounters a bottleneck when approaching the thermal noise limit.

[0003] Detection methods based on the principle of stochastic resonance overcome the above limitations by utilizing the enhancement effect of nonlinear systems on weak signals, but they have strict requirements for noise intensity matching, poor stability, and low repeatability. Detection methods based on non-reciprocal dynamic systems achieve selective enhancement of weak signals through direction-dependent coupling mechanisms; however, existing methods usually only consider a single dissipation state and lack the ability to actively modulate changes in the system's dissipation structure, failing to effectively distinguish between dissipation changes caused by the measured physical quantity and common-mode drift caused by environmental factors.

[0004] More importantly, existing methods do not establish a strict parameter freezing mechanism, and operators may adjust the observation direction or threshold based on real-time data, introducing human selection bias; there is a lack of effective means to determine the linear working area of ​​the system, and it is difficult to distinguish nonlinear saturation from the real signal; the threshold determination usually depends on the test data itself or experience setting, and does not use an independent blank dataset that is completely isolated from the test, so the test results lack objectivity and credibility.

[0005] In summary, existing weak physical signal detection technologies have shortcomings in common-mode suppression, parameter stability, linear region determination, and threshold objectivity. There is an urgent need for a detection method and system that can strictly freeze all calculation conditions before detection, eliminate common-mode drift through positive and negative dissipation differences, determine objective thresholds based on independent blank data, and have nonlinear extension capabilities. Summary of the Invention

[0006] This invention addresses the shortcomings of existing technologies by providing a non-reciprocal dynamics positive and negative dissipation differential detection method and system.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution: A non-reciprocal dynamics positive and negative dissipation differential detection method includes the following steps: The physical quantity to be measured and the reference physical quantity are processed by transduction to obtain the corresponding electrical parameter signals; The electrical parameter signal is loaded onto at least one state node in the dynamic detection circuit, which includes an energy storage element, multiple state nodes, a dissipation regulation branch, and a transconductance coupling branch, wherein the transconductance coupling branch is arranged between different state nodes. The dynamic detection circuit is controlled to be in a coupled state, and the dissipation adjustment branch is adjusted in the corresponding coupled state to make the dynamic detection circuit in a dissipation state. Based on the coupled state and the dissipation state, the dynamic response data generated by the corresponding state node is obtained. The coupled state includes a non-reciprocal coupled state and a reciprocal coupled state, and the dissipation state includes a reference dissipation state, a positive dissipation state and a negative dissipation state. Based on the dynamic response data, the dynamic response feature data corresponding to the coupling state and the dissipation state are extracted respectively. According to the difference between the dynamic response feature data corresponding to the positive dissipation state and the negative dissipation state under the same coupling state, the first differential response quantity and the second differential response quantity are obtained respectively. The first differential response quantity is the quantization result of the difference under the non-reciprocal coupling state, and the second differential response quantity is the quantization result of the difference under the reciprocal coupling state. The first differential response and the second differential response are subjected to dual differential processing to obtain the physical signal detection result.

[0008] As one possible implementation, the electrical parameter signal includes a test electrical parameter signal and a reference electrical parameter signal. The test electrical parameter signal is used to characterize the change of the physical quantity to be detected, and the reference electrical parameter signal is used to provide a reference response. The electrical parameter signal includes at least one of the following: conductance parameter, capacitance parameter, voltage parameter, and current parameter. The transduction process includes: The physical quantity to be detected is applied to the state node, causing a change in the state node's conductance to ground, thus obtaining the conductance parameter; or the physical quantity to be detected is applied to the state node, causing a change in the state node's capacitance, thus obtaining the capacitance parameter; or the physical quantity to be detected is converted by a sensor and output as a buffer voltage, which is then injected into the state node to obtain the voltage parameter; or the physical quantity to be detected is amplified across impedance and injected into the state node as current, thus obtaining the current parameter.

[0009] As one possible implementation, the transconductance coupling branch includes an adjustable direction-dependent coupling unit and is disposed between different state nodes; The transconductance coupling branch and the dissipation adjustment branch were measured and calibrated to determine the actual coupling parameters and actual dissipation parameters. By adjusting the coupling parameters in different directions in the transconductance coupling branch, the dynamic detection circuit can switch between the reciprocal coupling state and the non-reciprocal coupling state. In the non-reciprocal coupling state, the coupling parameters differ in different directions to form a direction-dependent dynamic transmission relationship; In the reciprocal coupling state, the coupling parameters in different directions remain consistent to form a control detection state corresponding to the non-reciprocal coupling state; The dissipation adjustment branch adjusts the dissipation parameters to make the dynamic detection circuit be in the reference dissipation state, the positive dissipation state, and the negative dissipation state, respectively. The dissipation regulation branch includes a main leakage resistor, a reference pre-parallel resistor, and a positive additional resistor. The main leakage resistor is permanently connected to the state node. The reference pre-parallel resistor and the positive additional resistor are selectively connected or disconnected by a switch, and all three are positive resistance passive devices. The reference dissipation state is formed by connecting the reference pre-parallel resistor and disconnecting the positive additional resistor. At this time, the total conductance of the state node is equal to the sum of the main leakage conductance and the conductance modulation amplitude. The total conductance is the reference conductance. The negative dissipation state is formed by disconnecting the reference pre-parallel resistor and the positive additional resistor, which reduces the total conductance of the state node relative to the reference conductance. The positive dissipation state is formed by connecting the reference pre-parallel resistor and the positive additional resistor, which increases the total conductance of the state node relative to the reference conductance.

[0010] As one possible implementation, the adjustable direction-dependent coupling unit comprises a discrete transconductance range group, a switch array, and a direction switching module cascaded in three stages; the discrete transconductance range group includes a fixed resistor and an operational amplifier; the direction switching module is used to switch the signs of the coupling parameters in different directions; the non-reciprocal coupling state is formed by the opposite signs of the coupling parameters of the two transconductance coupling branches between the same pair of state nodes, making the transconductance amplitudes of the two branches equal and opposite in sign; the reciprocal coupling state is formed by the same and non-zero signs of the coupling parameters of the two transconductance coupling branches.

[0011] As one possible implementation method, the following steps are also included: Before acquiring the dynamic response data generated by the corresponding state node, the preset measurement scheme and preset algorithm parameters are frozen and the configuration identification information is recorded to obtain frozen configuration data. If the preset measurement scheme or preset algorithm parameters change during the acquisition of dynamic response data, the currently acquired dynamic response data will be invalid. When a modification request is received regarding the preset measurement scheme or the preset algorithm parameters, the modification request is rejected and the frozen configuration data remains unchanged; The preset measurement scheme includes at least coupling state, dissipation state, sampling interval, sampling settings and detection threshold rules. The preset algorithm parameters include at least the number of lag points, observation direction vector and scalar feature extraction rules. The reconstruction lag time is determined based on the number of lag points and the sampling interval. The reconstruction lag time is used to set the time interval for state sampling.

[0012] As one possible implementation, based on the dynamic response data, the dynamic response feature data corresponding to the coupling state and the dissipation state are extracted respectively, including the following steps: A state covariance matrix is ​​constructed using dynamic response data. Based on the state covariance matrix and the relationship between state changes at different time intervals, the dynamic propagation characteristics are obtained. Based on the dynamic propagation characteristics, the drift matrix is ​​reconstructed and decomposed into a symmetric dissipation matrix and an antisymmetric non-reciprocal matrix to obtain the dynamic response characteristic data. The dissipation matrix corresponds to the dissipation response parameters, and the non-reciprocal matrix corresponds to the non-reciprocal response parameters. The dissipation response parameters characterize the irreversible dissipation changes in the dynamic detection circuit, and the non-reciprocal response parameters characterize the direction-related dynamic changes in the dynamic detection circuit. Based on the dynamic response data, the noise covariance parameter is obtained. Based on the dynamic response characteristic data and the noise covariance parameter, the scalar characteristic and the linear acceleration response ratio are obtained. The linear acceleration response ratio is used to determine whether the dynamic detection circuit is in a linear working state. The scalar features, the linear acceleration response ratio, the dissipative response parameters, the non-reciprocal response parameters, and the noise covariance parameters are used as components of the dynamic response feature data. Wherein, the linear acceleration response ratio is expressed as: When the linear acceleration response ratio When the value is less than a preset threshold, the dynamics detection circuit is considered to be in a linear operating state; when the linear acceleration response ratio is less than a preset threshold, the dynamics detection circuit is considered to be in a linear operating state. When the value is greater than or equal to a preset threshold, the dynamic detection circuit is considered to be in a nonlinear operating state. Represents the observation direction vector. Indicates the corresponding scalar feature; These represent the scalar characteristics under the positive dissipation state, the baseline dissipation state, and the negative dissipation state, respectively. The superscript T indicates the transpose operator. This represents the components of the observation direction vector at the 1st to nth state nodes. express The dynamic state variables of each state node at any given time.

[0013] As one possible implementation method, the following steps are also included: When the linear acceleration response ratio indicates that the dynamic detection circuit is in a linear operating state, the scalar characteristics are used as unified response characteristic data. When the linear acceleration response ratio indicates that the dynamic detection circuit has a nonlinear response, a nonlinear state response model is constructed based on the dynamic response data. The nonlinear state response model is decomposed into dissipative response part and non-reciprocal response part, and multidimensional detection features are obtained based on the decomposed response modes. The response modes are subjected to a validity and consistency check. When all response modes pass the validity and consistency check, the multidimensional detection features are used as unified response feature data. When some response modes fail the validity and consistency check, the response modes that fail the check are removed, and the remaining response modes are used to form unified response feature data. When all response modes fail the validity and consistency check, the corresponding detection data is invalidated and the current detection is terminated.

[0014] As one possible implementation, the method of obtaining a first differential response quantity and a second differential response quantity based on the difference between the dynamic response characteristic data corresponding to the positive dissipation state and the negative dissipation state under the same coupling state, wherein the first differential response quantity is the quantization result of the difference under the non-reciprocal coupling state, and the second differential response quantity is the quantization result of the difference under the reciprocal coupling state, includes the following steps: Based on unified response characteristic data, and according to the dynamic response characteristic data corresponding to different dissipation states, first-order linear response characteristics and second-order curvature response characteristics are obtained. The first-order linear response characteristics are used to characterize the weak response that changes synchronously with the positive and negative dissipation adjustment directions, while the second-order curvature response characteristics are used to identify the curvature changes or finite-amplitude nonlinear responses common to both positive and negative dissipation states. Based on the first-order linear response characteristics, the first differential response between the channel under test and the reference channel under non-reciprocal coupling state and the second differential response between the channel under test and the reference channel under reciprocal coupling state are calculated respectively. The first differential response and the second differential response are then differentially processed to obtain the dual differential response. The first-order linear response characteristics, the second-order curvature response characteristics, and the dual-difference response quantities are combined to form differential response data.

[0015] As one possible implementation, the following steps are included before obtaining the differential response data: The validity of the dynamic response data is judged, and the self-consistency of the dynamic response feature data is judged to obtain the quality gating result; when the quality gating result indicates that all judgments are passed, the subsequent steps are executed; when the quality gating result indicates that any judgment is failed, the dynamic response data and dynamic response feature data are determined to be invalid and the extraction of the physical signal detection result is stopped. The detection threshold is calculated based on an independent benchmark dataset. This detection threshold is isolated from the observation direction vector adjustment, parameter adjustment, and detection process of the physical quantity to be detected. The detection threshold is determined based on the most stringent value among the benchmark data quantiles, the sum of the statistical standard error and the allowable bandwidth, and the conversion threshold corresponding to the minimum meaningful physical quantity. The benchmark data quantiles are calculated based on the quantiles of the absolute values ​​of the detection statistics in the independent benchmark dataset. The sum of the statistical standard error and the allowable bandwidth is calculated based on the statistical error and the preset bandwidth parameter. The conversion threshold corresponding to the minimum meaningful physical quantity is calculated based on the transduction sensitivity and transduction uncertainty. Based on the detection threshold and the quality gating result, gating threshold data is generated; Based on the gating threshold data and differential response data, the absolute value of the dual differential response quantity is compared with the detection threshold. When all quality judgments pass and the absolute value of the dual differential response quantity exceeds the detection threshold, a detection state is obtained; when all quality judgments pass and the absolute value of the dual differential response quantity does not exceed the detection threshold, a non-detection state is obtained; when all quality judgments fail, an invalid state is obtained and the corresponding failure reason is recorded. The detected state, undetected state, or invalid state are taken as the physical signal detection result.

[0016] A non-reciprocal dynamics positive and negative dissipation differential detection system includes: The transducer module is used to process the physical quantity to be detected and the reference physical quantity to obtain the corresponding electrical parameter signal. The module is used to load the electrical parameter signal to at least one state node in the dynamic detection circuit. The dynamic detection circuit includes an energy storage element, multiple state nodes, a dissipation regulation branch, and a transconductance coupling branch. The transconductance coupling branch is arranged between different state nodes. The state control module controls the dynamic detection circuit to be in a coupled state, and adjusts the dissipation adjustment branch in the corresponding coupled state to make the dynamic detection circuit in a dissipation state. Based on the coupled state and the dissipation state, the module obtains the dynamic response data generated by the corresponding state node. The coupled state includes a non-reciprocal coupled state and a reciprocal coupled state, and the dissipation state includes a reference dissipation state, a positive dissipation state, and a negative dissipation state. The acquisition module extracts dynamic response feature data corresponding to the coupling state and the dissipation state based on the dynamic response data, and obtains a first differential response quantity and a second differential response quantity according to the difference between the dynamic response feature data corresponding to the positive dissipation state and the negative dissipation state under the same coupling state. The first differential response quantity is the quantization result of the difference under the non-reciprocal coupling state, and the second differential response quantity is the quantization result of the difference under the reciprocal coupling state. The processing module is used to perform dual differential processing on the first differential response quantity and the second differential response quantity to obtain the physical signal detection result.

[0017] This invention, by adopting the above technical solutions, has significant technical effects: This invention enables the detection process to simultaneously possess both directional correlation dynamics detection and reciprocal control detection capabilities by setting non-reciprocal coupling and reciprocal coupling states. It also suppresses the reciprocal background response and extracts the weak physical response changes caused by the propagation of directional correlation dynamics through dual differential processing, thereby improving the detection signal-to-noise ratio of weak physical signals. By switching the dissipation direction between the reference dissipation state, the positive dissipation state, and the negative dissipation state, the weak dynamic response corresponding to the measured physical quantity is made to change in a direction-related manner, thereby extracting the weak response characteristics that change synchronously with the positive and negative dissipation adjustment directions. By performing actual measurements and calibrations on the transconductance coupling branch and the dissipation adjustment branch, the actual coupling parameters and actual dissipation parameters are determined, so that the detection process is based on the measured circuit parameters, reducing the impact of device nominal value deviations on the detection of weak physical signals. By freezing the preset measurement scheme and preset algorithm parameters and recording the configuration identification information, the coupling state, dissipation state, sampling parameters and preset algorithm parameters remain unchanged during the acquisition of dynamic response data, ensuring consistency between different detection processes and avoiding changes in the detection results of weak physical signals caused by parameter adjustments during the detection process. The linear acceleration response ratio is used to determine whether the dynamic detection circuit is in a linear working state. The scalar features are used as unified response feature data, or the dissipative response part and non-reciprocal response part are decomposed based on the nonlinear state response model to obtain multidimensional detection features, so that the detection method can be applied to the detection of weak physical signals in both linear and nonlinear dynamic working states. The quality gating results are obtained by judging the validity of dynamic response data and the self-consistency of dynamic response characteristic data. The detection threshold is determined based on an independent benchmark dataset that is independent of the observation direction selection, parameter adjustment and detection process of the physical quantity to be detected, so as to distinguish between valid detection results and invalid detection data and improve the credibility of weak physical signal detection results. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart illustrating the non-reciprocal dynamics positive and negative dissipation differential detection method of the present invention. Figure 2 This is a schematic diagram of the dynamic detection circuit of the present invention; Figure 3 This is a schematic diagram of the operation of the dynamic detection circuit of the present invention in both non-reciprocal coupling and reciprocal coupling states. Figure 4 This is a schematic diagram of the response changes of the dynamic detection circuit of the present invention under the reference dissipation state, positive dissipation state, and negative dissipation state (taking voltage as an example). Figure 5 This is a schematic diagram of the system of the present invention. Detailed Implementation

[0020] The present invention will be further described in detail below with reference to the embodiments. The following embodiments are explanations of the present invention, but the present invention is not limited to the following embodiments.

[0021] Example 1 This embodiment provides a non-reciprocal dynamics positive and negative dissipation differential detection method, such as... Figure 1 As shown, it includes the following steps: S1. The physical quantity to be measured and the reference physical quantity are processed by transduction to obtain the corresponding electrical parameter signals; S2. The electrical parameter signal is loaded into at least one state node in the dynamic detection circuit. The dynamic detection circuit includes an energy storage element, multiple state nodes, a dissipation regulation branch, and a transconductance coupling branch. The transconductance coupling branch is arranged between different state nodes. S3. Control the dynamic detection circuit to be in a coupled state, and adjust the dissipation adjustment branch respectively in the corresponding coupled state to make the dynamic detection circuit in a dissipation state. Based on the coupled state and the dissipation state, obtain the dynamic response data generated by the corresponding state node. The coupled state includes a non-reciprocal coupled state and a reciprocal coupled state, and the dissipation state includes a reference dissipation state, a positive dissipation state and a negative dissipation state. S4. Based on the dynamic response data, extract the dynamic response feature data corresponding to the coupling state and the dissipation state respectively, and obtain the first differential response quantity and the second differential response quantity according to the difference between the dynamic response feature data corresponding to the positive dissipation state and the negative dissipation state under the same coupling state. The first differential response quantity is the quantization result of the difference under the non-reciprocal coupling state, and the second differential response quantity is the quantization result of the difference under the reciprocal coupling state. S5. Perform double differential processing on the first differential response quantity and the second differential response quantity to obtain the physical signal detection result.

[0022] In step S1, the electrical parameter signal corresponding to the physical quantity to be measured is acquired. The electrical parameter signal includes the electrical parameter signal to be measured and the reference electrical parameter signal. The electrical parameter signal to be measured is used to characterize the change of the physical quantity to be detected, and the reference electrical parameter signal is used to provide a reference response. The electrical parameter signal includes at least one of the following: conductance parameter, capacitance parameter, voltage parameter, and current parameter. The transduction process includes: applying the physical quantity to be detected to the state node, causing a change in the state node's conductance to ground, and obtaining conductance parameters; or applying the physical quantity to be detected to the state node, causing a change in the state node's capacitance, and obtaining capacitance parameters; or converting the physical quantity to be detected through a sensor and outputting a buffer voltage, injecting the buffer voltage into the state node, and obtaining voltage parameters; or amplifying the physical quantity to be detected through transimpedance and injecting it into the state node in the form of current, and obtaining current parameters.

[0023] In this embodiment, the electrical parameter signal , can be represented as: ,in, This represents the input signal obtained by converting the physical quantity to be measured. This represents the reference signal obtained by converting the physical quantity. After the electrical parameter signal is applied to the dynamic detection circuit, it is used to change the state variables of the dynamic system.

[0024] Specifically, the transduction process can select different conversion methods according to the type of the physical quantity to be detected. When the physical quantity to be detected acts on the sensitive element and causes a change in the conductance of the state node to ground, the conductance parameter is obtained by detecting the change in the equivalent admittance of the state node, and its relationship can be expressed as: ,in, Indicates the initial conductance of the state node; It represents the change in conductivity caused by the physical quantity being detected.

[0025] When the physical quantity to be detected causes a change in the capacitance of the sensitive structure, the capacitance parameter is obtained by measuring the change in the equivalent capacitance of the state node, and the relationship between these changes can be expressed as: ,in, This represents the initial capacitance of the state node. It represents the change in capacitance caused by the physical quantity being detected.

[0026] When the physical quantity to be detected is converted into a voltage signal by the sensor, after impedance matching through a buffer circuit, the buffered voltage signal is applied to the state node, where: ,in: Indicates the sensor output voltage. Indicates the gain of the buffer circuit; This represents the voltage parameters applied to the state node.

[0027] When the physical quantity to be detected is converted into a current signal by the sensor, the current signal is converted into a voltage form by the transimpedance converter circuit and then applied to the state node, where: ,in: Indicates the sensor output current. This represents the transresistance conversion factor.

[0028] In this embodiment, the electrical parameter signal corresponding to the physical quantity to be detected is used as the input of the channel to be tested, and the electrical parameter signal corresponding to the reference physical quantity is used as the input of the reference channel. The common response caused by environmental changes, device drift and system noise during the detection process is reduced through subsequent differential processing.

[0029] In step S2, the dynamic detection circuit includes an energy storage element, multiple state nodes, a dissipation adjustment branch, and a transconductance coupling branch. The transconductance coupling branch includes an adjustable direction-dependent coupling unit disposed between different state nodes. This direction-dependent coupling unit is connected to different state nodes respectively to provide coupling parameters in different directions. The transconductance coupling branch and the dissipation adjustment branch are measured and calibrated to determine the actual coupling parameters and actual dissipation parameters. By adjusting the coupling parameters in different directions in the transconductance coupling branch, the dynamic detection circuit can switch between the reciprocal coupling state and the non-reciprocal coupling state. In the non-reciprocal coupling state, the coupling parameters differ in different directions to form a direction-dependent dynamic transmission relationship; In the reciprocal coupling state, the coupling parameters in different directions remain consistent to form a control detection state corresponding to the non-reciprocal coupling state; The dissipation adjustment branch adjusts the dissipation parameters to place the dynamic detection circuit in the reference dissipation state, the positive dissipation state, and the negative dissipation state, respectively.

[0030] In one specific embodiment, the energy storage element can be implemented using a capacitor, inductor, or equivalent energy storage device. Assume the dynamic detection circuit contains n state nodes, and its state variables... , is represented as: ,in, Let represent the dynamic state variable of the i-th state node. Then, the state change process of the dynamic detection circuit can be expressed as: Where A represents the dynamic state matrix, B represents the input transformation matrix, U(t) represents the electrical parameter input after energy conversion, and W(t) represents the system noise and disturbance terms. Furthermore, the dynamic state matrix is ​​decomposed into: ,in, This indicates the coupling relationship between state nodes. This indicates the system's dissipation relationship.

[0031] This state-space form allows us to map the changes in the transduced physical signal to the state evolution process of the dynamic detection circuit.

[0032] In actual testing, due to deviations in transconductance element parameters, errors in energy storage elements, and environmental factors, the actual coupling and dissipation parameters may differ from the preset parameters. Therefore, the dynamic detection circuit needs to be calibrated before testing. Specifically, preset calibration signals are input to different state nodes, and the responses of the corresponding state nodes are collected. The actual coupling parameters in different directions are determined based on the relationship between the input and response signals. Let the actual coupling parameters between two state nodes be... Then, based on the difference between the two, it is determined whether the current coupling state satisfies the non-reciprocal coupling requirement. Simultaneously, by changing the control parameters of the dissipation regulation branch and collecting the state node response decay process, the actual dissipation parameters are obtained. Based on the deviation between the actual dissipation parameters and the preset dissipation parameters, the dissipation regulation branch is calibrated. After calibration, the actual coupling parameters and actual dissipation parameters will be used in the subsequent dynamic response acquisition process.

[0033] In one embodiment, the dynamic detection circuit includes at least two state nodes, each state node including an energy storage element, a dissipation regulation branch, and a signal connection terminal.

[0034] The energy storage element employs a state capacitor to store the state voltage of the state node. The dissipation regulation branch includes a main leakage resistor, a reference pre-parallel resistor, and a forward additional resistor. The main leakage resistor is permanently connected between the state node and ground, providing the main leakage conductance. The reference pre-parallel resistor and the forward additional resistor are selectively connected or disconnected via a switch, and all three are passive positive resistive devices. The reference pre-parallel resistor and the forward additional resistor have equal conductance values, which are called the conductance modulation amplitude. In one specific embodiment, the reference pre-parallel resistor and the forward additional resistor are implemented using precision resistors, and their nominal conductance values ​​are measured and calibrated to serve as the conductance modulation amplitude. The deviation between the measured value and the nominal value of the conductance modulation amplitude is used to correct the calculation of subsequent dynamic response characteristic data.

[0035] The reference dissipation state is when the reference pre-parallel resistor is connected and the positive additional resistor is disconnected. In this state, the total conductance of the state node is equal to the sum of the main leakage conductance and the conductance modulation amplitude; this total conductance is called the reference conductance. The positive dissipation state is when both the reference pre-parallel resistor and the positive additional resistor are connected. In this state, the total conductance of the state node is equal to the reference conductance plus the conductance modulation amplitude. The negative dissipation state is when both the reference pre-parallel resistor and the positive additional resistor are disconnected. In this state, the total conductance of the state node is equal to the main leakage conductance, i.e., relative to the reference conductance... The conductance modulation amplitude is subtracted from the conductance, wherein the negative dissipation state is achieved by reducing the pre-parallel positive conductance rather than using an active negative resistance device. Therefore, the dynamic detection circuit is still composed of a passive positive resistance network in the negative dissipation state, which satisfies the passive stability condition. The passive stability condition is verified by stability gating. The stability gating is used to determine whether the real part of the maximum eigenvalue of the reconstructed drift matrix is ​​less than a preset stability threshold. The dynamic detection circuit is determined to meet the stable operating condition if and only if the maximum real eigenvalue of all measurement units is less than the preset stability threshold.

[0036] The transconductor coupling branch includes an adjustable direction-related coupling unit, which is set between different state nodes and is composed of a discrete transconductor gear group, a switch array and a direction switching module cascaded in three levels.

[0037] The discrete transconductance range group, consisting of a fixed resistor and an operational amplifier, is used to set the transconductance amplitude. The switch array is positioned between the discrete transconductance range group and the direction switching module, used to lock the signal path after the transconductance range is selected. The direction switching module is used to switch the signs of the coupling parameters in different directions.

[0038] The switching between the non-reciprocal coupling state and the reciprocal coupling state is achieved through the following physical mechanism: For two transconductance coupling branches between the same pair of state nodes, if the coupling parameters of the two branches have the same sign and are non-zero, the reciprocal coupling state is formed; if the coupling parameters of the two branches have opposite signs, the non-reciprocal coupling state is formed. At this time, the coupling parameters in different directions are different, so as to form a direction-dependent dynamic transmission relationship.

[0039] After the above circuit structure is constructed, before formally acquiring dynamic response data, the transconductance coupling branch and the dissipation regulation branch are subjected to actual measurement and calibration. The transconductance coupling branch is switched to the common calibration bus through a calibration switching switch. The dissipation regulation branch is calibrated by changing its switching state and collecting the state node response attenuation process. Under the condition that the noise source is turned off, a known DC voltage is applied, the voltage across the standard sampling resistor is measured and the injected current is calculated, and the actual coupling parameters or actual dissipation parameters are fitted to obtain them. In one specific embodiment, the actual measurement and calibration of the transconductance coupling branch and the dissipation regulation branch are achieved through the common calibration bus and the calibration switching switch. The calibration switching switch is a single-pole double-throw switch, with the common terminal connected to the output terminal of the transconductance coupling branch, and the two throw terminals connected to the target state node and the common calibration bus, respectively. All the calibration switching switches are switched in a first-off-then-close manner and a non-overlapping dead zone is set.

[0040] In one embodiment, the method further includes the following steps: before obtaining the dynamic response data generated by the corresponding state node, the preset measurement scheme and preset algorithm parameters are frozen and the configuration identification information is recorded to obtain frozen configuration data, wherein the configuration identification information includes a configuration hash value. If the preset measurement scheme or preset algorithm parameters change during the acquisition of dynamic response data, the currently acquired dynamic response data will be invalid. When a modification request is received regarding the preset measurement scheme or the preset algorithm parameters, the modification request is rejected and the frozen configuration data remains unchanged; The preset measurement scheme includes at least coupling state, dissipation state, sampling interval, sampling settings and detection threshold rules. The preset algorithm parameters include at least the number of lag points, observation direction vector and scalar feature extraction rules. The reconstruction lag time is determined based on the number of lag points and the sampling interval. The reconstruction lag time is used to set the time interval for state sampling.

[0041] In step S3, the dynamic detection circuit is controlled to be in a coupled state, and the dissipation adjustment branch is adjusted in the corresponding coupled state to make the dynamic detection circuit in a dissipation state. Based on the coupled state and the dissipation state, dynamic response data generated by the corresponding state node is obtained. The coupled state includes a non-reciprocal coupled state and a reciprocal coupled state, and the dissipation state includes a reference dissipation state, a positive dissipation state, and a negative dissipation state. That is to say, during the detection process, the dynamic detection circuit is made to be in a non-reciprocal coupled state and a reciprocal coupled state by adjusting the transconductance coupling branch.

[0042] Taking two state nodes as an example, the coupling matrix can be represented as follows: ,in, This represents the coupling parameters from state node 1 to state node 2. This represents the coupling parameters from state node 2 to state node 1, when: When the dynamic transmission relationships in the two directions are different, the dynamic detection circuit is in a non-reciprocal coupling state. At this time, the system response includes direction-related information. When: When the coupling relationship in both directions is consistent, the dynamic detection circuit is in a reciprocal coupling state, which serves as a reference state for the non-reciprocal detection state.

[0043] In this embodiment, the dissipation matrix is ​​represented as: ,in, These represent the dissipation parameters of the corresponding state nodes. By adjusting the dissipation parameters: ,in, Indicates the baseline dissipation. Indicates the dissipation regulation amount, when: When: the dynamic detection circuit is in the reference dissipation state; when: When: the dynamic detection circuit is in a positive dissipation state; when: At that time, the dynamic detection circuit is in a negative dissipation state. During the detection process, in both non-reciprocal coupling and reciprocal coupling states, reference dissipation, positive dissipation, and negative dissipation adjustments are performed sequentially, and dynamic response data generated by the corresponding state nodes are collected.

[0044] Finally, state node response data were collected under six states: non-reciprocal coupling state + reference dissipation state, non-reciprocal coupling state + positive dissipation state, non-reciprocal coupling state + negative dissipation state, reciprocal coupling state + reference dissipation state, reciprocal coupling state + positive dissipation state, and reciprocal coupling state + negative dissipation state.

[0045] Combined with the channels, state node response data were collected under the following twelve states: non-reciprocal coupling state + reference dissipation state + channel under test; non-reciprocal coupling state + reference dissipation state + reference channel; non-reciprocal coupling state + positive dissipation state + channel under test; non-reciprocal coupling state + positive dissipation state + reference channel; non-reciprocal coupling state + negative dissipation state + channel under test; non-reciprocal coupling state + negative dissipation state + reference channel; reciprocal coupling state + reference dissipation state + channel under test; reciprocal coupling state + reference dissipation state + reference channel; reciprocal coupling state + positive dissipation state + channel under test; reciprocal coupling state + positive dissipation state + reference channel; reciprocal coupling state + negative dissipation state + channel under test; and reciprocal coupling state + negative dissipation state + reference channel.

[0046] In one embodiment, the dissipation state is adjusted and the dynamic response is acquired, and the dissipation parameters of the dynamic detection circuit are changed through the dissipation adjustment branch. Based on the dynamic response data, the corresponding dynamic response feature data under the coupled state and the dissipation state are extracted respectively, specifically including the following steps: A state covariance matrix is ​​constructed using dynamic response data. Based on the state covariance matrix and the relationship between state changes at different time intervals, the dynamic propagation characteristics are obtained. Based on the dynamic propagation characteristics, dynamic response characteristic data under the corresponding state is obtained, and the dynamic response characteristic data is decomposed to obtain dissipative response parameters and non-reciprocal response parameters. Among them, the dissipative response parameters characterize the irreversible dissipation changes in the dynamic detection circuit, and the non-reciprocal response parameters characterize the direction-related dynamic changes in the dynamic detection circuit. Based on the dynamic response data, the noise covariance parameter is obtained through steady-state covariance balancing and discrete innovation estimation methods. Based on the dynamic response characteristic data and noise covariance parameters, scalar characteristics and linear acceleration response ratio are obtained. The linear acceleration response ratio is used to determine whether the dynamic detection circuit is in a linear working state. The scalar features, the linear acceleration response ratio, the dissipative response parameters, the non-reciprocal response parameters, and the noise covariance parameters are used as components of the dynamic response feature data.

[0047] In this embodiment, based on the collected dynamic response data: Calculate the state mean: To obtain the state propagation characteristics in the dynamic detection circuit, this embodiment further calculates the time delay covariance matrix based on the state change relationship under different time intervals: In one implementation, dynamic response data can be represented as a state sequence. State propagation characteristics are obtained based on the state change relationships at different time intervals: Thus, the dynamic propagation characteristics are obtained: ,in, Used to describe the propagation relationship between state nodes over time. Through dynamic propagation characteristics, the correlation changes between state nodes and the differences in response in different directions can be characterized simultaneously.

[0048] Specifically, the dynamic propagation characteristic matrix is ​​decomposed into symmetric and antisymmetric components: , ,in, This indicates the reciprocal response portion. The non-reciprocal response component is represented by the dissipative response parameters and non-reciprocal response parameters obtained from the decomposition results. Since the reciprocal dynamic process satisfies directional symmetry, the symmetric response component is mainly used to characterize common dynamic changes and dissipative changes; while the antisymmetric response component is used to characterize the differences in dynamic transport between different directions. Therefore, ,in, These represent the dissipative response parameter and the non-reciprocal response parameter, respectively. This represents the feature mapping process.

[0049] In a specific embodiment, the state variable of the dynamic detection circuit is the mean-free node voltage state vector, and the state evolution follows a stochastic differential equation: ,in, Let L represent the state vector and L represent the drift matrix. Let represent the equivalent Gaussian white noise vector. The drift matrix is ​​used to describe the coupling relationship between state nodes and the system dissipation relationship. The drift matrix is ​​decomposed into the sum of a symmetric dissipation matrix and an antisymmetric non-reciprocal matrix, expressed as: Where A is the dissipation matrix, corresponding to the dissipation response parameters. N is a non-reciprocal matrix, corresponding to the non-reciprocal response parameters. .

[0050] The dynamic propagation characteristics are obtained by multiplying the hysteresis covariance matrix by the inverse of the steady-state covariance matrix: ,in, The lag covariance matrix, The steady-state covariance matrix is... To reconstruct the lag time, The number of lagging points. Given the sampling interval, based on the aforementioned dynamic propagation characteristics, the estimated value of the drift matrix is ​​obtained by dividing by the reconstruction lag time through logarithmic matrix operations: Where logm represents the matrix logarithm operation, based on the estimated value of the drift matrix, the symmetric decomposition and antisymmetric decomposition are performed to obtain the dissipative response parameters and the non-reciprocal response parameters.

[0051] In one specific embodiment, the noise covariance parameter is obtained through a steady-state covariance balancing method and a discrete innovation estimation method. The steady-state covariance balancing method is based on the continuous Lyapunov equation, and the steady-state covariance matrix, the drift matrix, and the noise covariance parameter satisfy the following: Where S is the steady-state covariance matrix and Q is the noise covariance parameter, the noise covariance parameter is independently estimated by the steady-state covariance balancing method and the discrete innovation estimation method, and the consistency of the two estimation results is tested. The consistency test is performed by the following difference measure. When the difference metric is less than a preset consistency threshold If the noise covariance parameter estimation is valid, then the current dynamic response data is considered to have model mismatch or acquisition anomaly. The noise covariance parameter is estimated based on the steady-state Lyapunov equation. The noise covariance parameter is based on discrete innovation residual estimation. Denotes the Frobenius norm of a matrix; when Less than the preset consistency threshold If the noise covariance parameter estimation is valid, it is determined that the current dynamic response data has model mismatch or acquisition abnormality.

[0052] The discrete innovation estimation method is based on the residual statistics between the predicted state value and the actual sampled value. The state innovation quantity is the current state vector minus the current state vector predicted based on the previous state vector and the drift matrix. The noise covariance parameter is the sample covariance of the state innovation quantity: , where M is the number of valid sampling points.

[0053] The linear acceleration response ratio is calculated based on scalar characteristics, the minimum eigenvalue of the dissipation matrix, and the steady-state entropy yield: ,in, The smallest eigenvalue of the dissipation matrix; Here is the damping response matrix. Sym(M) = (M + Mᵀ) / 2 denotes the symmetry operation, and Y is a solution to the following Sylvester equation: r is the observation direction vector, and its value is the unit eigenvector corresponding to the largest eigenvalue of the steady-state covariance matrix. Let be the steady-state entropy yield, where .

[0054] The linear acceleration response ratio and the applicable domain consistency bound satisfy a reciprocal normalization relationship, that is, the linear acceleration response ratio is equal to the ratio of the normalized response entropy production ratio to the applicable domain consistency bound; the preset threshold is set to 1 in this specific embodiment of the application, and its theoretical basis is the applicable domain consistency bound. The applicable domain consistency bound is applicable to the pre-registration implementation of a stable two-dimensional linear OU model where the noise covariance is an isotropic identity matrix after scalar whitening; for high-dimensional multi-channel finite coupling, non-isotropic noise covariance, or finite-amplitude nonlinearity, an independently calibrated bound or controlled mismatch budget is used as the preset threshold. When the linear acceleration response ratio is less than the preset threshold, the dynamic detection circuit is determined to be in a linear working state; when the linear acceleration response ratio is greater than or equal to the preset threshold, a nonlinear response is determined to exist.

[0055] The observation direction vector is a unit vector with a dimension equal to the number of state nodes. The selection rule is to take the unit eigenvector corresponding to the largest eigenvalue of the steady-state covariance matrix. The observation direction vector is frozen before detection and cannot be changed.

[0056] The scalar feature extraction rule is to calculate the quadratic form of the observation direction vector and the steady-state covariance matrix: , where r is the observation direction vector and S is the steady-state covariance matrix.

[0057] In one embodiment, the following steps are also included: When the linear acceleration response ratio indicates that the dynamic detection circuit is in a linear operating state, the scalar characteristics are used as unified response characteristic data. When the linear acceleration response ratio indicates that the dynamic detection circuit has a nonlinear response, a nonlinear state response model is constructed based on the dynamic response data. The nonlinear state response model is decomposed into dissipative response part and non-reciprocal response part, and multidimensional detection features are obtained based on the decomposed response modes. The response modes are subjected to a validity and consistency check. When all response modes pass the validity and consistency check, the multidimensional detection features are used as unified response feature data. When some response modes fail the validity and consistency check, the response modes that fail the check are removed, and the remaining response modes are used to form unified response feature data. When all response modes fail the validity and consistency check, the corresponding detection data is invalidated and the current detection is terminated.

[0058] In other words, after obtaining the dynamic response characteristics, in order to reduce the impact of random disturbances on the detection results during the detection process, this embodiment further estimates the noise characteristics in the dynamic response data.

[0059] In one specific implementation, continuous generators are used. To represent nonlinear state evolution, let Solve Then the nonlinear damping response matrix is When the dynamic detection circuit is in the linear stochastic dynamic limit operating state, the nonlinear damping response matrix degenerates into the linear damping response matrix, and the linear stochastic dynamic limit operating state is the limit operating state corresponding to the linear Ornstein-Uhlenbeck process.

[0060] Establish a state prediction value based on the current state of the dynamic detection circuit: ,in, This represents the predicted state value at the k-th sampling time. This represents the state variable at the previous sampling time. This represents the current input signal; based on the difference between the predicted state and the actual sampled state, the state innovation quantity is obtained: Then, the noise covariance parameter is calculated based on the innovation amount over multiple sampling periods: Here, Q characterizes the noise level in the current dynamic detection process. In subsequent detection processes, by jointly analyzing the dynamic response characteristics and the noise covariance parameter, it can be determined whether the current detection state meets the effective detection conditions.

[0061] After obtaining the noise covariance parameter, scalar characteristics are calculated based on the dynamic response characteristics and the noise covariance parameter. Specifically, let the observation direction vector be: The corresponding scalar characteristic is: ; Obtain the scalar characteristics of the positive dissipation state, the baseline dissipation state, and the negative dissipation state respectively: Then calculate the linear acceleration response ratio: , among which, when When the value is less than a preset threshold, the dynamic detection circuit is considered to be in an approximately linear operating state; when... When the response ratio is greater than or equal to a preset threshold, the dynamic detection circuit is considered to have a significant nonlinear response. This allows for the selection of the appropriate response feature extraction method based on the current detection state. When the linear acceleration response ratio is less than the preset threshold, the dynamic detection circuit is considered to be in the linear operating region, and scalar features are used for subsequent differential processing. When the linear acceleration response ratio is large, it indicates that the dynamic detection circuit has a significant nonlinear response, requiring the entry into the nonlinear state response processing process.

[0062] In one embodiment, the step of obtaining a first differential response quantity and a second differential response quantity based on the difference between the dynamic response characteristic data corresponding to the positive dissipation state and the negative dissipation state under the same coupling state, wherein the first differential response quantity is the quantization result of the difference under the non-reciprocal coupling state, and the second differential response quantity is the quantization result of the difference under the reciprocal coupling state, includes the following steps: Based on unified response characteristic data, and according to the dynamic response characteristic data corresponding to different dissipation states, first-order linear response characteristics and second-order curvature response characteristics are obtained. The first-order linear response characteristics are used to characterize the weak response that changes synchronously with the positive and negative dissipation adjustment directions, while the second-order curvature response characteristics are used to identify the curvature changes or finite-amplitude nonlinear responses common to both positive and negative dissipation states. Based on the first-order linear response characteristics, the first differential response between the channel under test and the reference channel under non-reciprocal coupling state and the second differential response between the channel under test and the reference channel under reciprocal coupling state are calculated respectively. The first differential response and the second differential response are then differentially processed to obtain the dual differential response. The first-order linear response characteristics, the second-order curvature response characteristics, and the dual-difference response quantities are combined to form differential response data.

[0063] In this embodiment, after obtaining unified response feature data, a first differential response quantity and a second differential response quantity are obtained based on the response differences corresponding to the positive dissipation state and the negative dissipation state under the same coupling state. The first differential response quantity is the quantization result of the difference under the non-reciprocal coupling state, and the second differential response quantity is the quantization result of the difference under the reciprocal coupling state.

[0064] In one embodiment, when the conductance modulation amplitudes of the positive dissipation state and the negative dissipation state are not equal, the first-order linear response characteristic and the second-order curvature response characteristic are calculated using the following unequal amplitude three-point modulation formula: , ,in, For positive dissipation modulation amplitude, The amplitude of negative dissipation modulation. For scalar characteristics under the baseline dissipation state, This represents the scalar characteristic under positive dissipation conditions. For scalar characteristics under negative dissipation states; when At that time, the above formula degenerates into the equal amplitude three-point modulation formula.

[0065] Let the unified response characteristics corresponding to different dissipation states be as follows: , representing the positive dissipation state response, the baseline dissipation state response, and the negative dissipation state response, respectively.

[0066] First, calculate the characteristics of the first-order linear response: ,in, The first-order linear response characteristic represents the dissipation regulation amplitude and is used to represent the target response that changes synchronously with the dissipation regulation direction. Since the positive and negative dissipation regulation directions are opposite, the common response caused by fixed bias, environmental disturbances, and device static errors usually exists simultaneously in both the positive and negative dissipation responses. This part of the response is weakened during the differential calculation. The second-order curvature response characteristic is then calculated: The second-order curvature response characteristic is used to represent the nonlinear changes in which both positive and negative dissipation states coexist.

[0067] Since the positive and negative dissipative states adjust in opposite directions, the response caused by a fixed bias is as follows: The corresponding difference result approaches zero. For the direction-dependent response caused by the measured physical quantity: Therefore, the target response can be preserved.

[0068] When the linear acceleration response ratio indicates that the dynamic detection circuit is in a linear operating state, this embodiment directly uses scalar features as unified response feature data.

[0069] When the dynamic detection circuit exhibits a nonlinear response, a nonlinear state response model is established.

[0070] The nonlinear state response model is expressed as follows: ,in, This represents the nonlinear state evolution function. The nonlinear state response model is then decomposed as follows: ,in, This represents the response portion related to the dissipation change. The response part is related to the change in the non-reciprocal direction. By analyzing the two parts mentioned above separately, multidimensional detection features are obtained.

[0071] For example: Dissipative response characteristics: Non-reciprocal response characteristics: ,in, This represents the feature extraction process, and then performs a validity and consistency check on different response modes.

[0072] For the i-th response mode, define a consistency evaluation index: ,in, Indicates the current response mode characteristics. Indicates the mean of the baseline response. Indicates the range of fluctuations in the baseline response, when If all response modes meet the consistency requirements, then all multidimensional detection features are used as unified response feature data. If some response modes do not meet the consistency requirements, the corresponding abnormal response modes are removed, and the remaining response modes are used to form unified response feature data. If all response modes do not meet the consistency requirements, the current dynamic response data is determined to be invalid, and the current detection process is terminated.

[0073] After obtaining the positive and negative dissipative difference responses, the differences between the non-reciprocal coupled state and the reciprocal coupled state are further utilized for processing. The first-order difference response under the non-reciprocal coupled state is calculated as follows: ,in, This represents the first-order differential response of the channel under test in a non-reciprocal state. This represents the first-order differential response of the reference channel under non-reciprocal conditions. Calculate the first-order differential response under reciprocal coupling conditions: ,in, This represents the first-order differential response of the channel under reciprocal conditions. This represents the first-order differential response of the reference channel under reciprocal conditions. The final double-difference response is expressed as: Where K is the final physical signal detection feature. Since reciprocal coupling states can preserve the common dynamic response in the system, while non-reciprocal coupling states can introduce directionally correlated dynamic responses, further differentiation between the two coupling states can reduce the effects caused by environmental changes, device drift, and common noise.

[0074] In one embodiment, the step of obtaining the differential response data is further included: The validity of the dynamic response data is judged, and the self-consistency of the dynamic response feature data is judged to obtain the quality gating result. When the quality gating result indicates that all judgments are passed, the subsequent differential response data calculation step is executed. When the quality gating result indicates that any judgment is failed, the dynamic response data and dynamic response feature data are determined to be invalid, and the subsequent physical signal detection result extraction process is stopped. The validity judgment includes at least the sampling synchronization judgment, signal saturation judgment, and calibration consistency judgment.

[0075] The sampling synchronization judgment is used to determine whether the sampling time of the dynamic response data corresponding to different state nodes meets the preset synchronization requirements; the signal saturation judgment is used to determine whether the dynamic response data is within the effective detection range; the calibration consistency judgment is used to determine whether the actual coupling parameters and actual dissipation parameters of the dynamic detection circuit meet the preset calibration requirements.

[0076] The self-consistency judgment includes at least dynamic stability judgment, local linearity judgment, noise consistency judgment, reciprocity self-consistency judgment, and application domain consistency judgment.

[0077] The dynamic stability judgment is used to determine whether the current dynamic detection circuit state response meets the stable working conditions; the local linearity judgment is used to determine whether the current response is within the preset linear working range; the noise consistency judgment is used to determine whether the noise response conforms to the preset statistical characteristics; the reciprocity self-consistency judgment is used to determine whether the response difference under reciprocal coupling is within the allowable range; and the applicable domain consistency judgment is used to determine whether the current detection state meets the preset detection conditions.

[0078] The detection threshold is calculated based on an independent benchmark dataset. The detection threshold is isolated from the observation direction vector adjustment, parameter adjustment and detection process of the physical quantity to be detected. The detection threshold is determined based on the most stringent value among the benchmark data quantile, the sum of statistical standard error and allowable bandwidth and the conversion threshold corresponding to the smallest meaningful physical quantity. The reference data quantiles are calculated based on the quantiles of the absolute values ​​of the central detection statistics in the independent reference data set. The sum of the statistical standard error and the allowable bandwidth is calculated based on the statistical error and the preset bandwidth parameter. The conversion threshold corresponding to the minimum meaningful physical quantity is calculated based on the transduction sensitivity and the transduction uncertainty. Based on the detection threshold and the quality gating result, gating threshold data is formed, which is used to extract the subsequent physical signal detection result.

[0079] In step S5, the first differential response and the second differential response are subjected to double differential processing to obtain the physical signal detection result, including the following steps: Based on the gate threshold data and differential response data, the absolute value of the dual differential response quantity is compared with the detection threshold. When all quality judgments pass and the absolute value of the dual differential response quantity exceeds the detection threshold, the detection status is obtained. When all quality judgments pass and the absolute value of the dual differential response does not exceed the detection threshold, the state of non-detection is obtained. When all quality checks fail, an invalid state is obtained and the corresponding failure reason is recorded. The detected state, undetected state, or invalid state are taken as the physical signal detection result.

[0080] In this embodiment, after obtaining the dual-difference response K, it is necessary to combine it with a detection threshold to determine whether a target physical signal exists. In this embodiment, an independent benchmark dataset is used to determine the detection threshold. Assume the detection statistics in the benchmark dataset are: The quantile thresholds are obtained based on the distribution of the baseline data. ,in, This represents the quantile function corresponding to the preset confidence level. Simultaneously, the statistical threshold is calculated based on the statistical error. ,in, Indicates statistical error. This indicates the allowable bandwidth; based on the transducer sensitivity and transducer uncertainty, the corresponding conversion thresholds for the physical quantities are obtained: ,in, Let S represent the smallest meaningful physical quantity, and let S represent the transduction sensitivity. The final detection threshold is: .

[0081] The judgment is based on the difference-in-differences response, specifically: when And when the quality gate result passes, the detection status is output; when When the quality gate passes, an "undetected" status is output; when the quality gate fails, an "invalid" status is output, and the corresponding failure reason is recorded.

[0082] Example 2: A non-reciprocal dynamics positive and negative dissipation differential detection system, such as Figure 5 As shown, it includes: The transducer module 100 is used to transduce the physical quantity to be detected and the reference physical quantity to obtain the corresponding electrical parameter signal. The construction module 200 is used to load the electrical parameter signal to at least one state node in the dynamic detection circuit. The dynamic detection circuit includes an energy storage element, multiple state nodes, a dissipation regulation branch, and a transconductance coupling branch. The transconductance coupling branch is arranged between different state nodes. The state control module 300 controls the dynamic detection circuit to be in a coupled state, and adjusts the dissipation adjustment branch in the corresponding coupled state to make the dynamic detection circuit in a dissipation state. Based on the coupled state and the dissipation state, it obtains the dynamic response data generated by the corresponding state node. The coupled state includes a non-reciprocal coupled state and a reciprocal coupled state, and the dissipation state includes a reference dissipation state, a positive dissipation state, and a negative dissipation state. The acquisition module 400 extracts dynamic response feature data corresponding to the coupling state and the dissipation state based on the dynamic response data, and obtains a first differential response quantity and a second differential response quantity according to the difference between the dynamic response feature data corresponding to the positive dissipation state and the negative dissipation state under the same coupling state. The first differential response quantity is the quantization result of the difference under the non-reciprocal coupling state, and the second differential response quantity is the quantization result of the difference under the reciprocal coupling state. The processing module 500 is used to perform dual differential processing on the first differential response quantity and the second differential response quantity to obtain the physical signal detection result.

[0083] This embodiment provides a detection system for implementing the above-mentioned non-reciprocal dynamic positive and negative dissipation differential detection method. The system includes a transducer module, a construction module, a state control module, an acquisition module, and a processing module. The modules cooperate with each other to complete physical quantity input, dynamic state adjustment, response data acquisition, feature extraction, and detection result output.

[0084] The transducer module is used to convert the physical quantity to be detected and the reference physical quantity into corresponding electrical parameter signals. In this embodiment, the transducer module can adopt different forms of transducer structure according to different types of detection objects.

[0085] For example, when the physical quantity to be detected causes a change in the conductivity of the sensitive element, the transducer module outputs a conductivity parameter: ,in, Indicates the initial conductance. This represents the change in conductivity caused by the detected physical quantity. When the detected physical quantity causes a change in the capacitance of the sensitive structure, the transducer module outputs the capacitance parameter: ,in, Indicates the initial capacitance. This indicates the change in capacitance. When the sensor outputs a voltage signal, the transducer module performs impedance matching through a buffer circuit. ,in, Indicates the sensor output voltage. Indicates buffer gain; when the sensor outputs a current signal, it is converted via transimpedance conversion: ,in, Indicates the sensor output current. This represents the transimpedance conversion coefficient, which, after processing by the transducer module, yields an electrical parameter signal suitable for input to the dynamic detection circuit.

[0086] Example 3 To avoid misjudgments caused by sampling anomalies, device state anomalies, or unstable dynamic states, this embodiment further sets up a quality gating mechanism. The quality gating module (which can be integrated into the processing module) performs validity judgment on the collected data.

[0087] Specifically, it includes the following: For example, the sampling synchronization determination is based on the sampling timestamps of different state nodes. The maximum sampling deviation is calculated and expressed as: ,when The sampling synchronization is considered to meet the requirements.

[0088] For example, signal saturation detection, which checks whether the output of the detection state node exceeds the effective operating range, is represented as: When the above conditions are met, the signal is considered not to have saturated.

[0089] For example, the dynamic stability judgment, based on the change in state covariance, is expressed as: To determine whether the dynamic state is stable.

[0090] For example, noise consistency judgment is based on comparing the current noise covariance Q with the reference noise range, expressed as: To determine whether the current noise level is within the acceptable range.

[0091] If all the above quality checks pass, the test results are allowed to be output; otherwise, the current test data is marked as invalid.

[0092] Example 4 This embodiment provides a specific example of a detection process, taking pressure detection as an example.

[0093] First, the pressure-sensitive element converts pressure changes into changes in electrical conductance, expressed as: Where P represents the pressure change. Indicates the pressure transduction coefficient, applies the change in conductivity to the state node of the kinetic detection circuit, and then executes the following sequentially: Non-reciprocal coupling state detection; reciprocal coupling state detection; positive dissipative state response acquisition and negative dissipative state response acquisition. Calculation based on the acquired data: ,like If a pressure change is detected, it is determined that a pressure change exists; otherwise, it is determined that no effective pressure change was detected.

[0094] Through this implementation, the present invention utilizes the directional correlation transmission characteristics of the dynamic system and the differential response generated by positive and negative dissipation adjustment to reduce background disturbances through a multi-level differential method, thereby achieving the detection of weak physical signals.

[0095] In the above embodiments, the dynamic detection circuit is illustrated using a coupled dynamic system containing multiple state nodes as an example. In practical applications, the dynamic detection circuit can be implemented in different forms, including but not limited to: analog electronic circuits, digital signal processing circuits, analog-digital hybrid circuits, and programmable logic implementation circuits. As long as the coupling relationship between state nodes can be adjusted, the dissipation parameter can be adjusted, and the dynamic response can be acquired, it falls under the implementation form of the technical solution of this invention.

[0096] Furthermore, the non-reciprocal coupling in this invention is not limited to a single circuit structure. In one implementation, it can be achieved through a direction-dependent transconductance unit: ,in, These represent the coupling currents in two directions, respectively. Indicates the voltage of the corresponding state node; This represents the transconductance parameter in different directions. When When a non-reciprocal coupling relationship is formed, the switching between the non-reciprocal state and the reciprocal state can be realized by controlling the transconductance unit parameters.

[0097] In addition, the dissipation regulation branch can be implemented by changing the equivalent admittance of the state node. Assuming the equivalent admittance of the state node is expressed as: ,in, Let C represent the equivalent dissipation term and C represent the energy storage term. By adjusting the real part of the equivalent admittance, it can be expressed as: To change the dissipative state of the dynamic system, when When, it corresponds to positive dissipative regulation; when At that time, corresponding negative dissipation adjustment is applied, thereby enabling the dynamic system to obtain dynamic responses under different dissipation conditions.

[0098] In one optional implementation, to improve the consistency of the detection results, a fixed detection sequence is used during the detection process, as follows: ,in, These represent the non-reciprocal coupling state, the reciprocal coupling state, the reference dissipation state, the positive dissipation state, and the negative dissipation state, respectively. After data acquisition is completed in this order, feature extraction and differential calculation are then performed. By fixing the detection sequence, the time drift effect during the switching process between different measurement states can be reduced.

[0099] In one embodiment, multiple state nodes can be used as an example; in practical applications, the number of state nodes can be extended to multiple. For a system containing n state nodes, its state variables... , is represented as: ,in, This represents the dynamic state variable of the i-th state node. By combining multiple state nodes, dynamic response information in multiple directions can be obtained simultaneously.

[0100] Furthermore, it can also perform multi-physical quantity detection, meaning it's not limited to pressure detection. For different physical quantities, it's sufficient to convert them into electrical parameter signals recognizable by the dynamic detection circuit using a corresponding transducer structure. For example, for vibration detection, it can be represented as: ,in, Indicates acceleration. This represents the transduction coefficient. For temperature detection, it is represented as: ,in, Indicates temperature change, This represents the temperature coefficient of resistance.

[0101] The converted electrical parameter signals can all be used for non-reciprocal dynamic positive and negative dissipation differential detection according to the above method.

[0102] As can be seen from the above embodiments, the present invention does not detect weak physical signals solely through changes in signal amplitude. Instead, it utilizes directional differences and dissipative modulation response differences during the propagation of the dynamic system state. This is achieved through: comparing non-reciprocal coupled states with reciprocal coupled states, differentiating between positive and negative dissipative states, extracting dynamic response features, and calculating dual-difference detection quantities. Therefore, the present invention can obtain stable detection results under low signal-to-noise ratio conditions.

[0103] Finally, in a specific embodiment, taking the detection of slight pressure changes as an example, the non-reciprocal dynamic positive and negative dissipation differential detection method of the present invention is experimentally verified.

[0104] A piezoresistive pressure sensing element is used as the transducer structure to convert external pressure changes into a state node conductance change signal. The initial conductance of the pressure sensing element is G0 = 1.000 mS, and the pressure transducer coefficient is SG = 0.010 mS / kPa. When the input pressure change is applied to the pressure sensing element, a corresponding conductance change is generated and applied to the target state node in the dynamic detection circuit.

[0105] This embodiment employs a dynamic detection circuit with two state nodes, which are respectively connected to an energy storage element, a dissipation regulation branch, and a transconductance coupling branch. The energy storage element is implemented using a capacitor with a capacitance of 100nF, and the dynamic response sampling frequency is set to 10kHz, with each state group sampled continuously for 2 seconds.

[0106] Before testing, the dynamic detection circuit is calibrated. By inputting calibration signals to two state nodes, the actual coupling parameters in the two directions under non-reciprocal coupling conditions are obtained as follows: , ,because: Therefore, the dynamic detection circuit is in a non-reciprocal coupling state. Subsequently, the transconductance coupling branch is adjusted to make the coupling parameters in both directions as follows: At this point, the dynamic detection circuit is in a reciprocal coupling state and serves as a background response reference state. Simultaneously, by changing the equivalent dissipation parameters of the state nodes through the dissipation adjustment branch, the following settings are established: reference dissipation state. Positive dissipation state Negative dissipation state When the input pressure change is 0.5 kPa, dynamic response data corresponding to different dissipation states are collected under non-reciprocal coupling and reciprocal coupling states, and dynamic response characteristic quantities are extracted. The experimental results are shown in Table 1.

[0107] Table 1. Schematic diagram of data for different states and channels. Calculate the differential response between positive and negative dissipation states based on the dynamic response characteristics of the positive and negative dissipation states. For non-reciprocal coupling states: The corresponding reference channel is: Therefore, the first differential response under non-reciprocal coupling state is obtained: For reciprocal coupling states: The corresponding reference channel is: Therefore, the second differential response under reciprocal coupling state is obtained: Then, a double difference processing is performed: ,get: To determine the detection threshold, independent benchmark datasets were collected under conditions without applied pressure changes, totaling 1000 sets of dynamic response data.

[0108] The 95th percentile threshold for the benchmark data was obtained based on statistical analysis of the benchmark data. And the thresholds corresponding to statistical errors and allowable bandwidth. The threshold values ​​corresponding to the physical quantities are obtained by converting pressure transduction sensitivity and transduction uncertainty: Therefore, the detection threshold is: .because Furthermore, the sampling synchronization judgment, signal saturation judgment, calibration consistency judgment, and dynamic stability judgment all meet the preset conditions, therefore the current detection result is determined to be a detection state.

[0109] Furthermore, to verify the variation law of the detection response under different pressure input conditions, different pressure changes were input respectively, and the double difference response was calculated using the above method. The experimental results are shown in Table 2.

[0110] Table 2 shows the experimental results. The experimental results show that as the pressure change increases, the double difference response increases monotonically, maintaining an approximately linear relationship within the range of 0 to 2 kPa.

[0111] The test was repeated 20 times to obtain the average value of the differential response under a pressure input of 0.5 kPa. Standard deviation Coefficient of variation: This indicates that the detection method of the present invention has good repeatability.

[0112] In addition, to verify the advantages of the method of the present invention over traditional detection methods, the traditional amplitude detection method, the non-reciprocal coupling detection method, the positive and negative dissipation differential detection method, and the dual differential detection method of the present invention were compared under the same pressure input conditions. The results are shown in Table 3.

[0113] Table 3 shows the comparison results. The experimental results show that the present invention effectively weakens the common disturbance response by suppressing the background response between non-reciprocal coupled states and reciprocal coupled states, and by differentiating the directional response between positive dissipation states and negative dissipation states, thereby improving the detection capability of weak pressure change signals.

[0114] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0115] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0116] This invention is described with reference to flowchart illustrations and / or block diagrams of the method, terminal device (system), and computer program product according to the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0117] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0118] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0119] It should be noted that: The phrase "an embodiment" or "an embodiment" used in this specification means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. Therefore, the phrase "an embodiment" or "an embodiment" appearing in various places throughout the specification does not necessarily refer to the same embodiment.

[0120] Furthermore, it should be noted that the shapes and names of the parts and components described in the specific embodiments described in this specification may differ. All equivalent or simple variations made to the structure, features, and principles described in this patent concept are included within the protection scope of this patent. Those skilled in the art to which this invention pertains may make various modifications or additions to the described specific embodiments or use similar methods to replace them, as long as they do not depart from the structure of this invention or exceed the scope defined in these claims, they should all fall within the protection scope of this invention.

Claims

1. A non-reciprocal dynamics positive and negative dissipation differential detection method, characterized in that, Includes the following steps: The physical quantity to be measured and the reference physical quantity are processed by transduction to obtain the corresponding electrical parameter signals; The electrical parameter signal is loaded onto at least one state node in the dynamic detection circuit, which includes an energy storage element, multiple state nodes, a dissipation regulation branch, and a transconductance coupling branch, wherein the transconductance coupling branch is arranged between different state nodes. The dynamic detection circuit is controlled to be in a coupled state, and the dissipation adjustment branch is adjusted in the corresponding coupled state to make the dynamic detection circuit in a dissipation state. Based on the coupled state and the dissipation state, the dynamic response data generated by the corresponding state node is obtained. The coupled state includes a non-reciprocal coupled state and a reciprocal coupled state, and the dissipation state includes a reference dissipation state, a positive dissipation state and a negative dissipation state. Based on the dynamic response data, the dynamic response feature data corresponding to the coupling state and the dissipation state are extracted respectively. According to the difference between the dynamic response feature data corresponding to the positive dissipation state and the negative dissipation state under the same coupling state, the first differential response quantity and the second differential response quantity are obtained respectively. The first differential response quantity is the quantization result of the difference under the non-reciprocal coupling state, and the second differential response quantity is the quantization result of the difference under the reciprocal coupling state. The first differential response and the second differential response are subjected to dual differential processing to obtain the physical signal detection result.

2. The non-reciprocal dynamics positive and negative dissipation differential detection method according to claim 1, characterized in that, The electrical parameter signal includes a test electrical parameter signal and a reference electrical parameter signal. The test electrical parameter signal is used to characterize the change of the physical quantity to be detected, and the reference electrical parameter signal is used to provide a reference response. Electrical parameter signals include at least one of the following: conductance parameter, capacitance parameter, voltage parameter, and current parameter; The transduction process includes: The physical quantity to be detected is applied to the state node, causing a change in the state node's conductance to ground, and the conductance parameter is obtained. Alternatively, the physical quantity to be detected can be applied to the state node to change the capacitance of the state node, thus obtaining the capacitance parameter; or the physical quantity to be detected can be converted by a sensor and output as a buffer voltage, which can then be injected into the state node to obtain the voltage parameter; or the physical quantity to be detected can be amplified by transimpedance and injected into the state node as current to obtain the current parameter.

3. The non-reciprocal dynamics positive and negative dissipation differential detection method according to claim 1, characterized in that, The transconducting coupling branch includes an adjustable direction-dependent coupling unit and is arranged between different state nodes; The transconductance coupling branch and the dissipation adjustment branch were measured and calibrated to determine the actual coupling parameters and actual dissipation parameters. By adjusting the coupling parameters in different directions in the transconductance coupling branch, the dynamic detection circuit can switch between the reciprocal coupling state and the non-reciprocal coupling state. In the non-reciprocal coupling state, the coupling parameters differ in different directions to form a direction-dependent dynamic transmission relationship; In the reciprocal coupling state, the coupling parameters in different directions remain consistent to form a control detection state corresponding to the non-reciprocal coupling state; The dissipation adjustment branch adjusts the dissipation parameters to make the dynamic detection circuit be in the reference dissipation state, the positive dissipation state, and the negative dissipation state, respectively. The dissipation regulation branch includes a main leakage resistor, a reference pre-parallel resistor, and a positive additional resistor. The main leakage resistor is permanently connected to the state node. The reference pre-parallel resistor and the positive additional resistor are selectively connected or disconnected by a switch, and all three are positive resistance passive devices. The reference dissipation state is formed by connecting the reference pre-parallel resistor and disconnecting the positive additional resistor. At this time, the total conductance of the state node is equal to the sum of the main leakage conductance and the conductance modulation amplitude. The total conductance is the reference conductance. The negative dissipation state is formed by disconnecting the reference pre-parallel resistor and the positive additional resistor, which reduces the total conductance of the state node relative to the reference conductance. The positive dissipation state is formed by connecting the reference pre-parallel resistor and the positive additional resistor, which increases the total conductance of the state node relative to the reference conductance.

4. The non-reciprocal dynamics positive and negative dissipation differential detection method according to claim 3, characterized in that, The adjustable direction-dependent coupling unit comprises a discrete transconductance range group, a switch array, and a direction switching module cascaded in three stages; the discrete transconductance range group includes a fixed resistor and an operational amplifier; the direction switching module is used to switch the signs of the coupling parameters in different directions; the non-reciprocal coupling state is formed by the opposite signs of the coupling parameters of the two transconductance coupling branches between the same pair of state nodes, so that the transconductance amplitudes of the two branches are equal and opposite in sign; the reciprocal coupling state is formed by the same and non-zero signs of the coupling parameters of the two transconductance coupling branches.

5. The non-reciprocal dynamics positive and negative dissipation differential detection method according to claim 1, characterized in that, It also includes the following steps: Before acquiring the dynamic response data generated by the corresponding state node, the preset measurement scheme and preset algorithm parameters are frozen and the configuration identification information is recorded to obtain frozen configuration data. If the preset measurement scheme or preset algorithm parameters change during the acquisition of dynamic response data, the currently acquired dynamic response data will be invalid. When a modification request is received regarding the preset measurement scheme or the preset algorithm parameters, the modification request is rejected and the frozen configuration data remains unchanged; The preset measurement scheme includes at least coupling state, dissipation state, sampling interval, sampling settings and detection threshold rules. The preset algorithm parameters include at least the number of lag points, observation direction vector and scalar feature extraction rules. The reconstruction lag time is determined based on the number of lag points and the sampling interval. The reconstruction lag time is used to set the time interval for state sampling.

6. The non-reciprocal dynamics positive and negative dissipation differential detection method according to claim 1, characterized in that, Based on the dynamic response data, the dynamic response feature data corresponding to the coupling state and the dissipation state are extracted respectively, including the following steps: A state covariance matrix is ​​constructed using dynamic response data. Based on the state covariance matrix and the relationship between state changes at different time intervals, the dynamic propagation characteristics are obtained. Based on the dynamic propagation characteristics, the drift matrix is ​​reconstructed and decomposed into a symmetric dissipation matrix and an antisymmetric non-reciprocal matrix to obtain the dynamic response characteristic data. The dissipation matrix corresponds to the dissipation response parameters, and the non-reciprocal matrix corresponds to the non-reciprocal response parameters. The dissipation response parameters characterize the irreversible dissipation changes in the dynamic detection circuit, and the non-reciprocal response parameters characterize the direction-related dynamic changes in the dynamic detection circuit. Based on the dynamic response data, the noise covariance parameter is obtained. Based on the dynamic response characteristic data and the noise covariance parameter, the scalar characteristic and the linear acceleration response ratio are obtained. The linear acceleration response ratio is used to determine whether the dynamic detection circuit is in a linear working state. The scalar features, the linear acceleration response ratio, the dissipative response parameters, the non-reciprocal response parameters, and the noise covariance parameters are used as components of the dynamic response feature data. Wherein, the linear acceleration response ratio is expressed as: When the linear acceleration response ratio When the value is less than a preset threshold, the dynamics detection circuit is considered to be in a linear operating state; when the linear acceleration response ratio is less than a preset threshold, the dynamics detection circuit is considered to be in a linear operating state. When the value is greater than or equal to a preset threshold, the dynamic detection circuit is considered to be in a nonlinear operating state. Represents the observation direction vector. Indicates the corresponding scalar feature; These represent the scalar characteristics under the positive dissipation state, the baseline dissipation state, and the negative dissipation state, respectively. The superscript T indicates the transpose operator. This represents the components of the observation direction vector at the 1st to nth state nodes. express The dynamic state variables of each state node at any given time.

7. The non-reciprocal dynamics positive and negative dissipation differential detection method according to claim 6, characterized in that, It also includes the following steps: When the linear acceleration response ratio indicates that the dynamic detection circuit is in a linear operating state, the scalar characteristics are used as unified response characteristic data. When the linear acceleration response ratio indicates that the dynamic detection circuit has a nonlinear response, a nonlinear state response model is constructed based on the dynamic response data. The nonlinear state response model is decomposed into dissipative response part and non-reciprocal response part, and multidimensional detection features are obtained based on the decomposed response modes. The response modes are subjected to a validity and consistency check. When all response modes pass the validity and consistency check, the multidimensional detection features are used as unified response feature data. When some response modes fail the validity and consistency test, the response modes that fail the test are removed, and the remaining response modes are combined into unified response feature data. If all response modalities fail the validity and consistency check, the corresponding detection data is invalid and the current detection is terminated.

8. The non-reciprocal dynamics positive and negative dissipation differential detection method according to claim 7, characterized in that, The method of obtaining a first differential response quantity and a second differential response quantity based on the difference between the dynamic response characteristic data corresponding to the positive dissipation state and the negative dissipation state under the same coupling state, wherein the first differential response quantity is the quantization result of the difference under the non-reciprocal coupling state, and the second differential response quantity is the quantization result of the difference under the reciprocal coupling state, includes the following steps: Based on unified response characteristic data, and according to the dynamic response characteristic data corresponding to different dissipation states, first-order linear response characteristics and second-order curvature response characteristics are obtained. The first-order linear response characteristics are used to characterize the weak response that changes synchronously with the positive and negative dissipation adjustment directions, while the second-order curvature response characteristics are used to identify the curvature changes or finite-amplitude nonlinear responses common to both positive and negative dissipation states. Based on the first-order linear response characteristics, the first differential response between the channel under test and the reference channel under non-reciprocal coupling state and the second differential response between the channel under test and the reference channel under reciprocal coupling state are calculated respectively. The first differential response and the second differential response are then differentially processed to obtain the dual differential response. The first-order linear response characteristics, the second-order curvature response characteristics, and the dual-difference response quantities are combined to form differential response data.

9. The non-reciprocal dynamics positive and negative dissipation differential detection method according to claim 8, characterized in that, Before obtaining the differential response data, the following steps are also included: The validity of the dynamic response data is judged, and the self-consistency of the dynamic response feature data is judged to obtain the quality gating result; when the quality gating result indicates that all judgments are passed, the subsequent steps are executed; when the quality gating result indicates that any judgment is failed, the dynamic response data and dynamic response feature data are determined to be invalid and the extraction of the physical signal detection result is stopped. The detection threshold is calculated based on an independent benchmark dataset. This detection threshold is isolated from the observation direction vector adjustment, parameter adjustment, and detection process of the physical quantity to be detected. The detection threshold is determined based on the most stringent value among the benchmark data quantiles, the sum of the statistical standard error and the allowable bandwidth, and the conversion threshold corresponding to the minimum meaningful physical quantity. The benchmark data quantiles are calculated based on the quantiles of the absolute values ​​of the detection statistics in the independent benchmark dataset. The sum of the statistical standard error and the allowable bandwidth is calculated based on the statistical error and the preset bandwidth parameter. The conversion threshold corresponding to the minimum meaningful physical quantity is calculated based on the transduction sensitivity and transduction uncertainty. Based on the detection threshold and the quality gating result, gating threshold data is generated; Based on the gating threshold data and differential response data, the absolute value of the dual differential response quantity is compared with the detection threshold. When all quality judgments pass and the absolute value of the dual differential response quantity exceeds the detection threshold, a detection state is obtained; when all quality judgments pass and the absolute value of the dual differential response quantity does not exceed the detection threshold, a non-detection state is obtained; when all quality judgments fail, an invalid state is obtained and the corresponding failure reason is recorded. The detected state, undetected state, or invalid state are taken as the physical signal detection result.

10. A non-reciprocal dynamics positive and negative dissipation differential detection system, characterized in that, include: The transducer module is used to process the physical quantity to be detected and the reference physical quantity to obtain the corresponding electrical parameter signal. The module is used to load the electrical parameter signal to at least one state node in the dynamic detection circuit. The dynamic detection circuit includes an energy storage element, multiple state nodes, a dissipation regulation branch, and a transconductance coupling branch. The transconductance coupling branch is arranged between different state nodes. The state control module controls the dynamic detection circuit to be in a coupled state, and adjusts the dissipation adjustment branch in the corresponding coupled state to make the dynamic detection circuit in a dissipation state. Based on the coupled state and the dissipation state, the module obtains the dynamic response data generated by the corresponding state node. The coupled state includes a non-reciprocal coupled state and a reciprocal coupled state, and the dissipation state includes a reference dissipation state, a positive dissipation state, and a negative dissipation state. The acquisition module extracts dynamic response feature data corresponding to the coupling state and the dissipation state based on the dynamic response data, and obtains a first differential response quantity and a second differential response quantity according to the difference between the dynamic response feature data corresponding to the positive dissipation state and the negative dissipation state under the same coupling state. The first differential response quantity is the quantization result of the difference under the non-reciprocal coupling state, and the second differential response quantity is the quantization result of the difference under the reciprocal coupling state. The processing module is used to perform dual differential processing on the first differential response quantity and the second differential response quantity to obtain the physical signal detection result.

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