A wearable multi-modal flexible microwave sensor
By constructing a wearable microwave sensor that incorporates a flexible substrate material and a multimodal sensing module, and combining it with a data acquisition and adaptive adjustment module, the problem of loose component connections was solved, thereby improving the stability and monitoring accuracy of the sensor.
Patent Information
- Application Number
- CN202411773754.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-05
- Publication Date
- 2025-12-30
- Estimated Expiration
- 2044-12-05
AI Technical Summary
Existing wearable multimodal flexible microwave sensors are prone to loosening at component connections during stretching and torsion, leading to decreased sensitivity or malfunction, and the loose connection problem is difficult to troubleshoot.
The microwave sensor, which consists of a flexible substrate material, a microwave sensing unit, a multimodal sensing module, a signal processing unit, a power supply and communication unit, and a protective layer, is combined with a data acquisition module, a connection status monitoring module, a signal gain control module, an adaptive adjustment module, a sensing operation module, a user interaction module, and a data storage module. By analyzing deformation and stress data, it monitors the connection status of components and makes adaptive adjustments.
It enables real-time monitoring and adaptive adjustment of component connection status, improving sensor stability and sensitivity, and increasing user control over anomalies and monitoring accuracy.
Smart Images
Figure CN119586979B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of microwave sensor, in particular to a wearable multi-modal flexible microwave sensor. BACKGROUND
[0002] With the increasing attention to health management and quality of life, wearable devices such as smart bracelets, smart watches, etc. are gradually popularized for monitoring basic health data and exercise information. The wearable multi-modal flexible microwave sensor further expands the function on this basis, which can more comprehensively and deeply monitor the physiological parameters of the human body and the surrounding environmental information, and meet the higher needs of people for health monitoring and life convenience.
[0003] In use, the existing wearable multi-modal flexible microwave sensor is stretched and twisted, the connection between the elements in the microwave sensor is subjected to external force in different directions, which easily causes the loosening of the connection, resulting in the decrease of the sensitivity of the sensor element or the failure to work normally, and the loosening problem of the connection is difficult to troubleshoot, resulting in inconvenience in use. SUMMARY
[0004] The present application provides a wearable multi-modal flexible microwave sensor to solve the above technical problems.
[0005] The present application provides a wearable multi-modal flexible microwave sensor to solve the above technical problems.
[0006] The flexible substrate material is used to install and carry each module, and provides flexibility for the sensor. The flexible substrate material includes but is not limited to polymer film, fabric, nanofiber material.
[0007] The microwave sensing unit is used to receive and transmit microwave signals, and detect the relevant information of the target object according to the change of the microwave signals.
[0008] The multi-modal sensing module obtains various physical data through the pressure sensor, temperature sensor and humidity sensor, and converts the various physical data into electrical signals for processing.
[0009] The signal processing unit is used to receive the electrical signals from the sensing unit and the multi-modal sensing module, and to amplify and transmit the electrical signals.
[0010] The power supply and communication module provides power for the sensor and transmits the processed information of each module to the external device.
[0011] A protective layer is used to protect the modules of the sensor; it protects the internal structure and components of the sensor from the interference and damage of the external environment, and the material of the protective layer includes but is not limited to polymer materials, inorganic materials, composite materials, and has the functions of waterproof, dustproof, corrosion resistance, etc.
[0012] The wearable multi-modal flexible microwave sensor further comprises a data acquisition module, a connection state monitoring module, a signal gain control module, an adaptive adjustment module, a sensing working module, a user interaction module and a data storage module.
[0013] The data acquisition module obtains deformation data and stress data of each internal element of the microwave sensor by monitoring the internal elements, obtains corresponding working data through the microwave sensor, and sends the deformation data, stress data and working data to the data storage module;
[0014] The deformation data of each internal element of the microwave sensor in the stretching and twisting process is obtained through the strain sensor, and the deformation data includes displacement, deformation direction and deformation mode; the stress data of the internal elements of the microwave sensor when subjected to external force is analyzed, and the stress data includes stress size, stress distribution data and stress direction; the working data generated when the microwave sensor works is collected, and the working data includes sensing collection data and signal comprehensive parameters.
[0015] The connection state monitoring module is used to obtain the deformation data and the stress data, analyze the deformation data to obtain a deformation state value, analyze the stress data to obtain a stress state value, comprehensively analyze the deformation state value and the stress state value to obtain element connection state information, and send the element connection state information to the data storage module.
[0016] As a further improvement of the present application, the deformation data is analyzed as follows:
[0017] The element position information, deformation direction and deformation mode are obtained by identifying the deformation data; the preset detection time points are obtained, the element position information of each internal element corresponding to each detection time point is obtained, the element position information corresponding to adjacent two detection time points is compared to obtain the element displacement, the preset displacement upper limit value is obtained, the element displacement corresponding to each element is compared with the displacement upper limit value, and when the element displacement is greater than the displacement upper limit value, the displacement abnormality is calculated by the difference between the element displacement and the displacement upper limit value.
[0018] Based on the material of each internal element extracted from the cloud data storage, the material of each internal element is identified to obtain anisotropic material and isotropic material; the anisotropic material and isotropic material are respectively set to corresponding deformation influence value, the corresponding high influence deformation direction of each type of material is obtained, the corresponding deformation direction of each internal element is matched with the high influence deformation direction to obtain the affected direction, the number of affected directions corresponding to each internal element is counted and recorded as the affected direction value; the material with anisotropy, such as some metals and alloys, the deformation direction will significantly affect its physical and mechanical properties, for example, the metal will form a specific deformation texture in the drawing or rolling process, and this anisotropy may cause the internal element to be more prone to failure or damage in a specific direction; the isotropic material, the deformation direction has relatively small influence on its performance, and excessive deformation or improper deformation direction will only lead to the generation of internal defects.
[0019] The deformation mode includes but is not limited to tensile deformation, compression deformation, bending deformation and torsion deformation, the deformation process of each internal element corresponding to each type of deformation mode is obtained, the duration of the deformation process is recorded to obtain the deformation time, the deformation rate is calculated by ratio of the deformation time and the corresponding element displacement, the deformation rate is divided into a plurality of deformation rate intervals, each deformation rate interval corresponds to a rate influence value, and the deformation rate of the current each internal element corresponding to each type of deformation mode is matched with the plurality of deformation rate intervals to obtain the corresponding rate influence value.
[0020] The displacement anomaly, the affected direction value and the rate influence value are normalized and the values are taken, and the formula is used to calculate the deformation state value XB; wherein WY, FX and SL represent the displacement anomaly, the affected direction value and the rate influence value, represents the sum of the rate influence values corresponding to n types of deformation modes corresponding to each internal element, and n is a positive integer; t1, t2 and t3 are preset weight factors, and the values are 2.15, 1.74 and 2.12 respectively.
[0021] As a further improvement of the present application, the stress data is analyzed, and the specific analysis method is as follows:
[0022] The stress size, stress distribution data and stress direction are obtained by identifying the stress number; the pre-set stress upper limit value is obtained, the current stress value of each internal element is obtained according to the stress size, and the stress value of each internal element is compared with the stress upper limit value; when the stress value is greater than the stress upper limit value, the stress value of the corresponding internal element is marked as an abnormal stress value.
[0023] The stress distribution data is identified to obtain the stress area of each internal component, the stress area ratio is calculated by comparing the stress area with the total area of the corresponding internal component, the area ratio threshold is obtained, when the stress area ratio is less than the area ratio threshold, the difference value is calculated by comparing the area ratio threshold with the stress area ratio, and the difference value is marked as the stress area influence value; under the same stress condition, the smaller the stress area, the greater the damage of the corresponding internal component.
[0024] The stress direction of each internal component is obtained, one stress direction is set as a reference stress direction, the stress angle value is obtained by comparing the reference stress direction with the remaining stress directions, the standard angle interval is obtained, the stress angle value corresponding to each remaining stress direction is matched with the standard angle interval corresponding to the reference stress direction, the stress angle value exceeding the standard angle interval is marked as the opposite influence angle, the number of opposite influence angles is counted to obtain the opposite influence angle value, the number of stress directions in the standard angle interval corresponding to the reference stress direction is obtained, and the angle direction difference value is obtained by calculating the difference between the opposite influence angle value and the stress direction number; the smaller the angle direction difference value, the greater the influence of the internal component on the multi-dimensional stress, and the greater the value, the greater the single direction stress value of the internal component.
[0025] The abnormal stress value, stress area influence value and angle direction difference value are normalized and the values are taken, and the stress state value YL is calculated by using the formula ; wherein, ycz, ylm and jdc represent the abnormal stress value, the stress area influence value and the angle direction difference value respectively; b1, b2 and b3 are all preset weight factors, and the values are 2.405, 3.704 and 2.235 respectively.
[0026] As a further improvement of the present application, the deformation state value and the stress state value are comprehensively analyzed, and the specific analysis method is as follows:
[0027] Two circles are constructed with the values of the deformation state value and the stress state value as radii, the centers of the two circles are on the same center line, and the two circles are parallel, the centers of the two circles are connected to obtain a straight line perpendicular to the two circles, the length of the straight line is a fixed constant, and a circular truncated cone is constructed with the two circles and the straight line, the volume of the circular truncated cone is calculated, and the value of the volume is marked as the comprehensive state value; when the comprehensive state value is greater than the preset threshold value, the corresponding component connection state information is generated as internal component connection abnormality.
[0028] The signal gain control module is used for acquiring working data and performing signal state analysis to obtain corresponding signal gain control instructions; the working data are identified to obtain signal comprehensive parameters, and the signal comprehensive parameters are identified to obtain a signal state; when the signal state corresponds to a weak signal, corresponding signal gain control instructions are generated; signal gain is executed according to the signal gain control instructions; the result of the gain execution is identified; when the signal gain is unresponsive, corresponding signal abnormal information is generated, and the signal abnormal information is sent to the user interaction module.
[0029] The adaptive adjustment module performs corresponding adaptive adjustment according to the connection state of the element; the element connection state information is acquired and identified; when the state information corresponds to an internal element connection abnormality, the corresponding abnormal position point is acquired, the adaptive adjustment strategy is generated for the abnormal position point, and adaptive adjustment is performed according to the adaptive adjustment strategy; the corresponding element connection state information after adaptive adjustment is analyzed again to obtain secondary state information; the adaptive adjustment result is generated according to the secondary state information, and the adaptive adjustment result is sent to the user interaction module; the adaptive adjustment is to set an adjustable connection structure, such as an elastic buckle, an adaptive locking device, etc.; when the connection loosening is detected, the connection tightness is restored by automatically adjusting through a mechanical or electromagnetic method.
[0030] The sensor working module is used for controlling the work of each acquisition module of the sensor, identifying the working data to obtain sensing acquisition data, processing the sensing acquisition data to obtain corresponding acquisition data electrical signals, and sending the acquisition data electrical signals to the data storage module.
[0031] The user interaction module is used for receiving and displaying the data of each module, and obtaining manual operation instructions by acquiring the operation settings of the user; the signal abnormal information and the adaptive adjustment result are received to generate corresponding display information and warning information.
[0032] The data storage module is used for storing deformation data, stress data and working data, and is also used for acquiring data electrical signals, storing signal abnormal information and adaptive adjustment results.
[0033] The technical scheme provided by the present application has the beneficial effects compared with the prior art:
[0034] 1、The present application obtains deformation state values by analyzing deformation data, obtains stress state values by analyzing stress data, comprehensively analyzes the deformation state values and the stress state values to obtain element connection state information, then performs corresponding adaptive adjustment according to the connection state of the element, obtains the adaptive adjustment result, can monitor and analyze the connection of each internal element to obtain the corresponding connection state, and can facilitate the user to find abnormalities in time and increase controllability.
[0035] 2、The application obtains the signal state by identifying the signal comprehensive parameters, generates the corresponding signal gain control instruction, performs the signal gain according to the signal gain control instruction, identifies the result of the gain execution, generates the corresponding signal abnormal information when the signal gain has no response, judges the result of the signal gain, and secondarily confirms the connection state to increase the accuracy of the monitoring element connection abnormality. BRIEF DESCRIPTION OF DRAWINGS
[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. The following drawings are not drawn in the actual size and are mainly used to show the main idea of the present application.
[0037] Fig. 1 It is a principle block diagram of the present application;
[0038] Fig. 2 It is a schematic diagram of the microwave sensor body of the present application. DETAILED DESCRIPTION
[0039] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the present application.
[0040] For the convenience of understanding, the specific process of the embodiments of the present application will be described below. Please refer to Figs. 1-2 In the embodiments of the present application, one embodiment of a wearable multi-modal flexible microwave sensor includes a data acquisition module, a connection state monitoring module, a signal gain control module, an adaptive adjustment module, a sensing work module, a user interaction module and a data storage module.
[0041] The data acquisition module obtains the deformation data of the internal elements of the microwave sensor and the stress data of the internal elements, obtains the corresponding work data through the microwave sensor, and sends the deformation data, the stress data and the work data to the data storage module;
[0042] The deformation data of the internal elements of the microwave sensor in the stretching and twisting process is obtained through the strain sensor. The deformation data includes the displacement amount, the deformation direction and the deformation mode.
[0043] The stress data of the internal elements of the microwave sensor when subjected to external force is analyzed. The stress data includes the stress size, the stress distribution data and the stress direction.
[0044] The working data generated during the working of the microwave sensor is collected, and the working data includes sensing collected data and signal comprehensive parameters.
[0045] The connection state monitoring module obtains the deformation data and the stress data, analyzes the deformation data to obtain a deformation state value, analyzes the stress data to obtain a stress state value, comprehensively analyzes the deformation state value and the stress state value to obtain component connection state information, and sends the component connection state information to the data storage module.
[0046] The deformation data is analyzed in the following specific manner:
[0047] The component position information, the deformation direction and the deformation mode are obtained by identifying the deformation data; the pre-set detection time points are obtained, the component position information of each internal component corresponding to each detection time point is obtained, the component position information corresponding to adjacent two detection time points is compared to obtain a component displacement amount, a pre-set displacement upper limit value is obtained, the component displacement amount corresponding to each component is compared with the displacement upper limit value, and when the component displacement amount is greater than the displacement upper limit value, the displacement abnormality amount is obtained by difference calculation of the component displacement amount and the displacement upper limit value.
[0048] Based on the material of each internal component extracted from the cloud data storage library, the anisotropic material and the isotropic material of each internal component are identified; the anisotropic material and the isotropic material are respectively set with corresponding deformation influence values, the high-influence deformation direction corresponding to each type of material is obtained, the deformation direction corresponding to each internal component is matched with the high-influence deformation direction to obtain the affected direction, the number of affected directions corresponding to each internal component is counted and recorded as the affected direction value; materials with anisotropy, such as some metals and alloys, the deformation direction will significantly affect their physical and mechanical properties, for example, the metal will form a specific deformation texture during drawing or rolling, and this anisotropy may cause the internal component to be more prone to failure or damage in a specific direction; the isotropic material, the deformation direction has relatively small influence on its performance, and only excessive deformation or improper deformation direction can cause internal defects.
[0049] The deformation mode includes but is not limited to tensile deformation, compressive deformation, bending deformation, and torsional deformation; the deformation process of each internal component corresponding to each type of deformation mode is obtained, the duration of the deformation process is recorded to obtain a deformation time, the deformation rate is calculated by ratio of the deformation time and the corresponding component displacement amount, the deformation rate is divided into a plurality of deformation rate intervals, each deformation rate interval corresponds to a rate influence value, and the deformation rate of the current each internal component corresponding to each type of deformation mode is matched with the plurality of deformation rate intervals to obtain the corresponding rate influence value.
[0050] The displacement anomaly amount, the affected direction value and the rate influence value are normalized and the values are taken, and the formula is used to calculate the deformation state value XB; wherein, WY, FX, SL respectively represent the displacement anomaly amount, the affected direction value and the rate influence value, the deformation state value XB is calculated; wherein, WY, FX, SL respectively represent the displacement anomaly amount, the affected direction value and the rate influence value, which represents the sum of the rate influence values corresponding to the n kinds of deformation modes of each internal element, and n is a positive integer; t1, t2, t3 are all preset weight factors, and the values are 2.15, 1.74 and 2.12 respectively.
[0051] The stress data is analyzed, and the specific analysis method is as follows:
[0052] The stress size, stress distribution data and stress direction are obtained by identifying the stress number; a pre-set stress upper limit value is obtained, the stress value currently corresponding to each internal element is obtained according to the stress size, and the stress value corresponding to each internal element is compared with the stress upper limit value; when the stress value is greater than the stress upper limit value, the stress value of the corresponding internal element is marked as an abnormal stress value.
[0053] The stress distribution data is identified to obtain the stress area of each internal element, the stress area ratio value is calculated by ratio calculation of the stress area and the total area of the corresponding internal element, a pre-set area ratio threshold value is obtained, and when the stress area ratio value is less than the area ratio threshold value, a difference value is calculated by difference calculation of the area ratio threshold value and the stress area ratio value, and the difference value is marked as a stress area influence value; under the same stress condition, the smaller the stress area, the greater the damage of the stress receiving part of the corresponding internal element.
[0054] The stress direction of each internal element is obtained, one stress direction is set as a reference stress direction, the stress angle value is obtained by coinciding and comparing the reference stress direction with the remaining stress directions, a pre-set standard angle interval is obtained, the stress angle value corresponding to each remaining stress direction is matched with the standard angle interval corresponding to the reference stress direction, the stress angle value exceeding the standard angle interval is marked as a facing influence angle, the number of facing influence angles is counted to obtain a facing influence angle value, the number of stress directions in the standard angle interval corresponding to the reference stress direction is obtained, and the angle direction difference value is calculated by difference calculation of the facing influence angle value and the stress direction number; the smaller the angle direction difference value, the greater the influence of the multi-dimensional stress on the internal element, and the greater the value, the greater the single direction stress value of the internal element.
[0055] The abnormal stress value, the stress area influence value and the angle direction difference value are normalized and the values are taken, and the formula is used The stress state value YL is calculated, wherein ycz, ylm and jdc represent the abnormal stress value, the stress area influence value and the angle direction difference value respectively; b1, b2 and b3 are preset weight factors, and the values are 2.405, 3.704 and 2.235 respectively.
[0056] The deformation state value and the stress state value are comprehensively analyzed, and the specific analysis method is as follows:
[0057] Two circles are constructed with the numerical values of the deformation state value and the stress state value as radii, the centers of the two circles are on the same center line, and the two circles are parallel, a straight line perpendicular to the two circles is obtained by connecting the centers of the two circles, the length of the straight line is a fixed constant, a circular truncated cone is constructed with the two circles and the straight line, the volume of the circular truncated cone is calculated, and the numerical value of the volume is marked as a comprehensive state value; when the comprehensive state value is greater than a preset threshold value, the corresponding element connection state information is generated as internal element connection abnormality.
[0058] The signal gain control module obtains working data and performs signal state analysis to obtain corresponding signal gain control instructions; the working data is identified to obtain signal comprehensive parameters, and the signal comprehensive parameters are identified to obtain a signal state, when the signal state corresponds to a weak signal, corresponding signal gain control instructions are generated, signal gain execution is performed according to the signal gain control instructions, the result of the gain execution is identified, when the signal gain has no response, corresponding signal abnormal information is generated, and the signal abnormal information is sent to the user interaction module.
[0059] The adaptive adjustment module performs corresponding adaptive adjustment according to the connection state of the element; the element connection state information is obtained and identified, when the state information corresponds to internal element connection abnormality, the corresponding abnormal position point is obtained, the adaptive adjustment strategy is generated for the abnormal position point, and adaptive adjustment is performed according to the adaptive adjustment strategy, the element connection state information after adaptive adjustment is analyzed again to obtain secondary state information, the adaptive adjustment result is generated according to the secondary state information, and the adaptive adjustment result is sent to the user interaction module; the adaptive adjustment is to set an adjustable connection structure, such as an elastic buckle, an adaptive locking device, etc., when the connection is detected to be loose, the connection tightness is restored by automatic adjustment through mechanical or electromagnetic method.
[0060] The sensor working module controls the work of each collection module of the sensor, identifies the working data to obtain sensing collection data, processes the sensing collection data to obtain corresponding collection data electrical signals, and sends the collection data electrical signals to the data storage module.
[0061] The user interaction module receives and displays each module data, and obtains a manual operation instruction by receiving signal abnormal information and adaptive adjustment results, and generating corresponding display information and early warning information.
[0062] The data storage module is used for storing deformation data, stress data and working data, and is also used for collecting data electrical signals, storing signal abnormal information and adaptive adjustment results.
[0063] The wearable multi-modal flexible microwave sensor further comprises a microwave sensor body; the microwave sensor body comprises a flexible base material, a microwave sensing unit multi-modal sensing module, a signal processing unit, a power supply and communication unit, and a protective layer.
[0064] The flexible base material mounts and carries each module, and provides flexibility for the sensor; the flexible base material includes but is not limited to a polymer film, a fabric, and a nanofiber material.
[0065] The microwave sensing unit receives and transmits microwave signals, and detects relevant information of a target object according to changes in the microwave signals.
[0066] The multi-modal sensing module obtains various physical data through a pressure sensor, a temperature sensor, and a humidity sensor, and converts the various physical data into electrical signals for processing.
[0067] The signal processing unit receives electrical signals from the sensing unit and the multi-modal sensing module, and performs gain and transmission on the electrical signals.
[0068] The power supply and communication module provides electrical energy for the sensor, and transmits information processed by each module to an external device.
[0069] The protective layer protects each module of the sensor; it protects the internal structure and components of the sensor from interference and damage from the external environment; the material of the protective layer includes but is not limited to a polymer material, an inorganic material, and a composite material, and has functions such as waterproofness, dustproofness, and corrosion resistance.
[0070] The above-described embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements for some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A wearable multi-modal flexible microwave sensor comprising of a sensing work module, a user interaction module and a data storage module, characterized in that, Also include: The data acquisition module obtains the deformation data of the microwave sensor internal elements by monitoring and obtains the stress data of each internal element, obtains the corresponding working data through the microwave sensor, and sends the deformation data, stress data and working data to the data storage module; The deformation data of each element in the microwave sensor is obtained by the strain sensor during stretching and twisting, and the deformation data includes displacement, deformation direction and deformation mode; by analyzing the stress data of the internal elements of the microwave sensor when subjected to external force, the stress data includes stress size, stress distribution data and stress direction; The working data generated during the working of the microwave sensor is collected, and the working data includes sensing data and signal comprehensive parameters; The connection state monitoring module is used to obtain the deformation data and stress data, analyze the deformation state value from the deformation data, and analyze the stress state value from the stress data, and the deformation state value and stress state value are analyzed to obtain the element connection state information, and the element connection state information is sent to the data storage module; The deformation data is analyzed as follows: The element position information, deformation direction and deformation mode are obtained by identifying the deformation data; the detection time points are obtained, the element position information of each internal element corresponding to each detection time point is obtained, the element position information of adjacent two detection time points is compared to obtain the element displacement, the displacement upper limit value is obtained, and the element displacement of each element is compared with the displacement upper limit value; when the element displacement is greater than the displacement upper limit value, the displacement abnormality is calculated by the difference between the element displacement and the displacement upper limit value; Based on the material of each internal element extracted from the cloud data storage library, the anisotropic material and isotropic material of each internal element are identified; the corresponding deformation influence value of each anisotropic material and isotropic material is set, the high influence deformation direction corresponding to each type of material is obtained, and the affected direction corresponding to each internal element is matched with the high influence deformation direction to obtain the affected direction value; The deformation mode includes stretching deformation, compression deformation, bending deformation and torsion deformation, the deformation process of each internal element corresponding to each type of deformation mode is obtained, the duration of the deformation process is recorded to obtain the deformation time, the deformation rate is calculated by the ratio of the deformation time to the corresponding element displacement, the deformation rate is divided into multiple deformation rate intervals, each deformation rate interval corresponds to a rate influence value, and the deformation rate of each internal element corresponding to each type of deformation mode is matched with the multiple deformation rate intervals to obtain the corresponding rate influence value; The displacement abnormality, affected direction value and rate influence value are calculated to obtain the deformation state value; The stress data is analyzed as follows: The stress size, stress distribution data and stress direction are obtained by identifying the stress number; a pre-set stress upper limit value is obtained, and a current stress value corresponding to each internal component is obtained according to the stress size; the stress value corresponding to each internal component is compared with the stress upper limit value, and when the stress value is greater than the stress upper limit value, the stress value of the corresponding internal component is marked as an abnormal stress value; The stress area of each internal component is obtained by identifying the stress distribution data, and the stress area ratio is obtained by ratio calculation of the stress area and the total area of the corresponding internal component; a pre-set area ratio threshold value is obtained, and when the stress area ratio is less than the area ratio threshold value, a difference value is obtained by difference calculation of the area ratio threshold value and the stress area ratio, and the difference value is marked as a stress area influence value; The stress direction of the stress borne by each internal component is obtained, one stress direction is set as a reference stress direction, the reference stress direction is compared with the remaining stress directions to obtain a stress angle value, a pre-set standard angle interval is obtained, the stress angle value corresponding to each of the remaining stress directions is matched with the standard angle interval corresponding to the reference stress direction, the stress angle value exceeding the standard angle interval is marked as a facing influence angle, the number of facing influence angles is counted to obtain a facing influence angle value, and the number of stress directions in the standard angle interval corresponding to the reference stress direction is obtained; the facing influence angle value is difference calculated with the number of stress directions to obtain an angle direction difference value; The abnormal stress value, the stress area influence value and the angle direction difference value are comprehensively calculated to obtain a stress state value; The signal gain control module is used for obtaining working data and performing signal state analysis to obtain a corresponding signal gain control instruction; The self-adaptive adjustment module performs corresponding self-adaptive adjustment according to the connection state of the element, obtains a self-adaptive adjustment result, and sends the self-adaptive result to the user interaction module.
2. The wearable multi-modal flexible microwave sensor of claim 1, wherein, The comprehensive analysis of the deformation state value and the stress state value is as follows: Two circles are constructed with the numerical values of the deformation state value and the stress state value as radii, the centers of the two circles are on the same center line, and the two circles are parallel; a straight line perpendicular to the two circles is obtained by connecting the centers of the two circles, and the length of the straight line is a fixed constant; a circular truncated cone is constructed with the two circles and the straight line, the volume of the circular truncated cone is calculated, and the numerical value of the volume is marked as a comprehensive state value; when the comprehensive state value is greater than a pre-set threshold value, the corresponding element connection state information is generated as an internal element connection abnormality.
3. The wearable multi-modal flexible microwave sensor of claim 1, wherein, The signal gain control module is used for obtaining working data and performing signal state analysis to obtain a corresponding signal gain control instruction; The signal gain control module is used for obtaining working data and performing signal state analysis to obtain a corresponding signal gain control instruction; 4. The wearable multi-modal flexible microwave sensor of claim 1, wherein, The specific working process of the adaptive adjustment module is: obtaining component connection state information and identifying the component connection state information, when the state information corresponds to internal component connection abnormality, obtaining the corresponding abnormal position point, generating an adaptive adjustment strategy for the abnormal position point, and performing adaptive adjustment according to the adaptive adjustment strategy, performing secondary analysis on the component connection state information after adaptive adjustment to obtain secondary state information, generating an adaptive adjustment result according to the secondary state information, and sending the adaptive adjustment result to the user interaction module.
5. The wearable multi-modal flexible microwave sensor of claim 1, wherein, The sensor working module is used to control the work of each acquisition module of the sensor, identify the working data to obtain sensing acquisition data, process the sensing acquisition data to obtain corresponding acquisition data electrical signals, and send the acquisition data electrical signals to the data storage module.
6. The wearable multi-modal flexible microwave sensor of claim 1, wherein, The user interaction module is used to receive and display module data, and obtain manual operation instructions by receiving signal abnormal information and adaptive adjustment results, and generating corresponding display information and warning information.
7. The wearable multi-modal flexible microwave sensor of claim 1, wherein, It also includes a microwave sensor body; the microwave sensor includes a flexible base material, a microwave sensing unit multi-modal sensing module, a signal processing unit, a power supply and communication unit, and a protective layer; The flexible base material is used to install and carry each module, providing flexibility for the sensor; The microwave sensing unit is used to receive and transmit microwave signals, and detect the relevant information of the target object according to the changes of the microwave signals; The multi-modal sensing module obtains various physical data through a pressure sensor, a temperature sensor, and a humidity sensor, and converts the various physical data into electrical signals for processing; The signal processing unit is used to receive electrical signals from the sensing unit and the multi-modal sensing module, and perform gain and transmission on the electrical signals; The power supply and communication module provides power for the sensor and transmits the processed information of each module to external equipment; The protective layer is used to protect each module of the sensor; It protects the internal structure and components of the sensor from interference and damage from the external environment.