Deformation sensing method, and communication node and storage medium

By flexibly allocating data reporting tasks in the deformation perception system, the problems of excessive system overhead and low efficiency are solved, efficient deformation data analysis and prediction are achieved, and the system's observation efficiency and early warning capabilities are improved.

WO2025200480A1PCT designated stage Publication Date: 2025-10-02ZTE CORP
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Patent Information

Application Number
PCT/CN2024/131678
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-03-26
Filing Date
2024-11-13
Publication Date
2025-10-02

AI Technical Summary

Technical Problem

In the process of continuously observing object deformation, existing technologies lead to excessive system overhead, low observation efficiency, and inability to efficiently analyze and calculate deformation data.

Method used

By flexibly allocating data reporting tasks between the first node and the second node, the first node reports measurement data when conditions are met, and the second node reports deformation information when conditions are met, or the first node completes deformation calculation and reports, thereby reducing system load.

Benefits of technology

It improves the efficiency of deformation observation while meeting the system overhead requirements, can timely warn and predict future deformation trends, and provide guidance for maintenance work.

✦ Generated by Eureka AI based on patent content.

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Abstract

A deformation sensing method, and a communication node and a storage medium. The deformation sensing method comprises: receiving a sensing instruction from a second node, wherein the sensing instruction comprises information of a target to be measured (110); on the basis of the sensing instruction, sending an integrated waveform to said target to acquire measurement data of said target (120); and reporting sensing information of said target to the second node, wherein when a first condition is met, the sensing information comprises the measurement data, and when a second condition is met, the sensing information comprises deformation information determined on the basis of the measurement data (130).
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Description

Deformation sensing method, communication node and storage medium Technical Field

[0001] The present application relates to the field of wireless communication technology, for example, to a deformation sensing method, a communication node and a storage medium. Background Art

[0002] Object deformation is a common phenomenon in everyday life, such as the tilt of buildings, the deformation of bridges, and the movement of mine slopes. Typically, object deformation does not occur suddenly, but rather accumulates from small amounts of deformation, resulting in a noticeable change at a certain moment. With the development of mobile communication systems such as Beyond 5th Generation (B5G) and Sixth Generation (6G), integrated communication and perception base stations will be widely deployed, capable of providing 24 / 7 communication services and ubiquitous perception services, providing convenient and efficient services for human life.

[0003] Utilizing the perception capabilities of mobile communication systems to continuously observe the deformation of objects in the environment during their deformation is crucial for analyzing their deformation state and guiding operations such as maintenance, management, and safe production. Currently, during this continuous observation process, sensing nodes must report all perceived data to the sensing network element, resulting in excessive system overhead and low observation efficiency.

[0004] Summary of the Invention

[0005] The present application provides a deformation sensing method, a communication node and a storage medium.

[0006] This embodiment of the present application provides a deformation perception method, applied to a first node, comprising:

[0007] receiving a sensing instruction from the second node, wherein the sensing instruction includes information of a target to be measured;

[0008] Acquiring measurement data of the target to be measured by sending an integrated waveform to the target to be measured according to the sensing instruction;

[0009] Reporting the perception information of the target to be measured to the second node;

[0010] Wherein, when the first condition is met, the perception information includes the measurement data; when the second condition is met, the perception information includes deformation information determined based on the measurement data.

[0011] This embodiment of the present application further provides a deformation perception method, which is applied to a second node and includes:

[0012] Sending a sensing instruction to the first node, wherein the sensing instruction includes information of the target to be measured;

[0013] receiving the perception information reported by the first node;

[0014] Wherein, when the first condition is met, the perception information includes measurement data of the target to be measured; when the second condition is met, the perception information includes deformation information determined according to the measurement data.

[0015] An embodiment of the present application further provides a communication node, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned deformation perception method when executing the program.

[0016] An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the above-mentioned deformation perception method is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] FIG1 is a flow chart of a deformation sensing method provided by an embodiment;

[0018] FIG2 is a schematic diagram of time series information provided by an embodiment;

[0019] FIG3 is a schematic diagram of an interference phase diagram provided by an embodiment;

[0020] FIG4 is a schematic diagram of a coherence graph provided by an embodiment;

[0021] FIG5 is a schematic diagram of first deformation curve information provided by an embodiment;

[0022] FIG6 is a schematic diagram of second deformation curve information provided by an embodiment;

[0023] FIG7 is a schematic diagram of third deformation curve information provided by an embodiment;

[0024] FIG8 is a flow chart of another deformation sensing method provided by an embodiment;

[0025] FIG9 is a schematic structural diagram of a deformation sensing device provided by an embodiment;

[0026] FIG10 is a schematic structural diagram of another deformation sensing device provided by an embodiment;

[0027] FIG11 is a schematic diagram of the hardware structure of a communication node provided by an embodiment. DETAILED DESCRIPTION

[0028] The present application is described below in conjunction with the accompanying drawings and embodiments. It will be understood that the specific embodiments described herein are merely intended to explain the present application and are not intended to limit the present application. It should be noted that, unless there is a conflict, the embodiments and features within the embodiments of the present application may be combined with each other in any manner. It should also be noted that, for ease of description, the accompanying drawings only illustrate portions relevant to the present application, not all structures.

[0029] FIG1 is a flow chart of a deformation sensing method provided by an embodiment, which can be applied to a first node. As shown in FIG1 , the method provided by this embodiment includes the following steps:

[0030] In step 110, a sensing instruction from the second node is received, where the sensing instruction includes information of the target to be detected.

[0031] In step 120, according to the sensing instruction, measurement data of the target to be measured is acquired by sending an integrated waveform to the target to be measured.

[0032] In step 130, the perception information of the target to be measured is reported to the second node.

[0033] When the first condition is met, the perception information includes the measurement data; when the second condition is met, the perception information includes deformation information determined based on the measurement data.

[0034] In this embodiment, both the first node and the second node have sensing capabilities. The first node can be used to obtain measurement data of the target and report the measurement data to the second node. The second node then processes the measurement data to analyze the deformation of the target. The first node can also be referred to as a sensing node, and the second node can also be referred to as a sensing network element.

[0035] The second node can send a perception instruction to the first node based on application requirements. The perception instruction can also be understood as a perception request, which is used to instruct or request the first node to measure and perceive the target to be measured. The target to be measured can refer to an object or area of ​​interest, that is, an object or area that needs to be measured. After receiving the perception instruction and completing the perception configuration, the first node can send an integrated waveform to the target to be measured to obtain the measurement data of the target to be measured. The integrated waveform can simultaneously meet the waveform requirements of communication and radar signals, completely or highly integrating communication and perception, and realizing information transmission and physical parameter measurement.

[0036] The first condition may mean that the first node is unsuitable for analyzing and calculating the measurement data, such as when the first node lacks or has poor computing power, when the first node has insufficient battery life, when the first node has insufficient memory, or when the second node has sufficient computing resources. If the first condition is met, the first node can report the measurement data to the second node, which then analyzes the deformation of the measured object based on the measurement data. In this case, deformation measurement and perception are primarily performed by the first node, while deformation calculation and analysis are primarily performed by the second node.

[0037] The second condition may refer to the first node supporting the analysis and calculation of the measurement data, such as the first node having computing power or strong computing power, the first node having sufficient remaining power, or the first node having sufficient remaining memory. When the second condition is met, the first node can determine the deformation information of the target to be measured based on the measurement data, and report the deformation information to the second node. In this case, the calculation and analysis of the deformation can also be completed or shared by the first node, which can reduce the processing pressure of the second node. For example, for scenarios where there are a large number of first nodes, a large number of targets to be measured, insufficient computing resources of the second node, or an overload on the second node, the first node can report the deformation information of the target to be measured.

[0038] In the deformation perception method of the embodiment of the present application, during the continuous observation of the target to be measured, the first node can flexibly report the perceived data to the second node. It can directly report the measurement data or report the deformation information obtained by calculating the measurement data. The first node and the second node cooperate to complete the measurement perception, which can meet the system overhead requirements and improve efficiency.

[0039] In addition, the second node can be configured with a preset deformation threshold. If the deformation information of the target to be measured exceeds the preset deformation threshold, the first node or the second node can send an early warning message to the application end (such as a user terminal such as a computer or mobile phone).

[0040] In addition, the first node or the second node can also predict the deformation trend of the target to be measured in the future based on the deformation information, and provide guidance for subsequent monitoring and maintenance work.

[0041] In one embodiment, the method further comprises:

[0042] S122: Calculate deformation information of the target to be measured based on the measurement data.

[0043] In this embodiment, the first node can determine the deformation information of the target to be measured based on the measurement data and report the deformation information to the second node. In one embodiment, the method further includes:

[0044] S140: Predicting a deformation trend of the target to be measured based on the deformation information.

[0045] In this embodiment, the first node can also predict the deformation trend of the target over a period of time based on the deformation information, thereby providing early warning of significant deformation that may occur in the future. Significant deformation can refer to deformation exceeding a preset deformation threshold or reaching a certain level of deformation that requires maintenance or management measures. In this case, the reported perception data can also include the predicted deformation trend.

[0046] In one embodiment, the deformation information includes at least one of the following:

[0047] Time series information, where each column of the time series information corresponds to the scattering information measured at each distance and each angle at the corresponding moment in the column;

[0048] Interference information, the interference information is obtained by sequentially conjugating the non-reference column with the reference column in the time series information. The reference column is the column corresponding to the reference time, and the non-reference column is the column corresponding to the time other than the reference time;

[0049] Interference phase information, where the interference phase information is determined according to the phase of the interference information;

[0050] Coherence information, the coherence information is determined by modulo the interference information;

[0051] Deformation variable information, the deformation variable information including the deformation variable at each time relative to the reference time except the reference time, the deformation variable information being determined based on the interference information or the interference phase information;

[0052] first deformation curve information, the first deformation curve information being determined according to deformation amount information of the designated target at different times relative to a reference time;

[0053] Second deformation curve information, the second deformation curve information includes deformation amounts of targets at the same angle but different distances at a specified time relative to a reference time;

[0054] Third deformation curve information, the third deformation curve information includes deformation amounts of targets at the same distance but different angles at a specified time relative to a reference time;

[0055] a first deformation trend, the first deformation trend being determined according to a deformation curve of a target distributed along a distance at a specified angle;

[0056] a second deformation trend, the second deformation trend being determined according to a deformation curve of a target distributed along an angle at a specified distance;

[0057] Vibration amplitude, the vibration amplitude is determined according to the deformation information;

[0058] Vibration frequency: The vibration frequency is determined based on the deformation information.

[0059] In this embodiment, the integrated waveform emitted by the first node is reflected by the target to be measured, and the first node receives the reflected echo from the target to be measured. By continuously observing the target to be measured, deformation information of the target to be measured can be obtained. The sensing node that transmits the integrated waveform and receives the reflected echo can be the same or different. The first node or the second node can obtain deformation information by analyzing the measurement data. The deformation information can be one or more of the following:

[0060] 1) Time series information of measurement data: expressed as t1, t2...t N N measurement moments can be represented as a two-dimensional image. Each column in the image contains scattering information at all target distances and angles. This scattering information can be (i.e., discontinuous) scattering information at a specific distance and angle, i.e., scattering information at the target to be measured. Figure 2 is a schematic diagram of time series information provided by one embodiment. Assuming there are M targets of interest, the size of the two-dimensional image is M*N.

[0061] 2) Interference Information: Multiply columns 2 through N of the two-dimensional image conjugately with column 1 to obtain a new two-dimensional image (denoted as I) of size M*(N-1). Note that column 1, corresponding to time t1, is selected here, where t1 is the reference time. The reference time can be the initial time or another time. Multiply each column except the column corresponding to the reference time conjugately with the column corresponding to the reference time to obtain the new two-dimensional image I.

[0062] 3) Interference phase information: The interference phase map can be obtained by taking the phase of the above two-dimensional image I, that is, in, represents an interference phase diagram, and Phase() represents a phase operation. FIG3 is a schematic diagram of an interference phase diagram provided by an embodiment.

[0063] 4) Coherence information: The coherence map can be obtained by taking the modulus of the above two-dimensional image I, that is, in, represents a coherence graph, and abs() represents a modulo operation. This process usually requires normalization according to the coherence calculation formula. FIG4 is a schematic diagram of a coherence graph provided by an embodiment.

[0064] In addition, the above coherence information can be used as a reference for confidence. If the coherence value is large, it means the confidence is high, and if the coherence value is small, it means the confidence is low.

[0065] 5) Deformation information: Using the interference information or the above-mentioned interference phase diagram, the deformation at different times relative to the reference time or the initial time can be calculated according to the deformation inversion formula. The calculation formula is as follows:

[0066] Among them, ΔR represents the size of the deformation, λ represents the wavelength of the synaesthesia integration signal, represents the measured phase difference, f c represents the carrier frequency of the synaesthesia integration signal, and c represents the speed of light.

[0067] 6) First deformation curve information: This is determined based on the deformation information of the specified target at different times relative to a reference time. This information is based on the deformation curves of the M targets obtained through inversion over time. A deformation curve for a specific target can also be drawn as needed. Figure 5 is a schematic diagram of first deformation curve information provided by one embodiment. As shown in Figure 5, the horizontal axis represents different times (Time), in seconds (s), and the vertical axis represents the deformation (Deformation or Displacement) of the specified target at different times relative to a reference time, in millimeters (mm).

[0068] 7) Second deformation curve information: According to the deformation curve of the target distributed along different distances at a certain angle, that is, the deformation of the target at the same angle and different distances at other times relative to the reference time, the deformation trend can be fitted based on this. In addition, the reliability of the target deformation at different distances can be judged in combination with the coherence. If the coherence of a certain distance is low, the deformation information is unreliable and the fitted curve is unreliable. Figure 6 is a schematic diagram of a second deformation curve information provided by an embodiment. As shown in Figure 6, the horizontal axis represents different distances (Range), the unit is meter (m), and the vertical axis represents the deformation (Deformation or Displacement) of the target at different distances relative to the reference time, the unit is millimeter (mm). The deformation in the area with a distance of about 2700 meters, such as the area marked with a circle in the figure, has a low coherence (needs to be judged in combination with the coherence diagram), and the deformation information fitted here is unreliable.

[0069] 8) Third deformation curve information: The deformation curve of the target distributed along different angles at a certain distance, that is, the deformation of the target at the same distance and different angles at other times relative to the reference time, can be used to fit the deformation trend. In addition, the reliability of the target deformation at different angles can be judged in combination with the coherence. If the coherence of a certain angle is low, the deformation information is unreliable, and the fitted curve is unreliable. Figure 7 is a schematic diagram of a third deformation curve information provided by an embodiment. As shown in Figure 7, the horizontal axis represents different angles (Angle), the unit is degree (°), and the vertical axis represents the deformation (Deformation or Displacement) of the target at different angles relative to the reference time, the unit is millimeter (mm).

[0070] 9) Vibration amplitude: The micro-deformation vibration amplitude of the target to be measured can be extracted based on the deformation information of the target.

[0071] 10) Vibration frequency: The micro-deformation vibration frequency of the target to be measured can be extracted based on the deformation information of the target.

[0072] In one embodiment, reporting the perception information of the target to be measured to the second node includes one of the following:

[0073] Periodically reporting the sensing information of the target to be measured to the second node, wherein the period for reporting the sensing information may be configured by the second node or determined by the first node;

[0074] Upon receiving a reporting request from the second node, reporting the perception information of the target to be measured to the second node;

[0075] Report when the deformation information exceeds the preset deformation threshold;

[0076] Report when the deformation trend contains deformation information exceeding the preset deformation threshold;

[0077] The preset deformation threshold is usually configured by the second node, and may also be determined by the first node.

[0078] In one embodiment, the method further comprises:

[0079] S150: When the deformation information exceeds a preset deformation threshold, a first warning message is sent to the application end.

[0080] In one embodiment, the method further comprises:

[0081] S160: When the deformation trend includes deformation information exceeding a preset deformation threshold, a second warning message and a confidence level are sent to the application end.

[0082] In this embodiment, the confidence level may be used to indicate the reliability of the predicted deformation trend, or the credibility of the second warning message. It may also be understood as the probability that the deformation trend contains deformation information exceeding a preset deformation threshold.

[0083] In one embodiment, the confidence level is determined based on interference information in the deformation information.

[0084] In this embodiment, the confidence level may be determined based on interference information in the deformation information, for example, based on coherence information.

[0085] In one embodiment, the target to be measured includes at least one target or area specified by the application end, or is determined by the second node according to the requirements of the application end.

[0086] In one embodiment, the target to be detected includes a continuously distributed target or area, or a discretely distributed target or area.

[0087] FIG8 is a flow chart of a deformation perception method provided by an embodiment, which can be applied to a second node, which can be a perception network element. As shown in FIG8 , the method provided by this embodiment includes steps 210 and 220 .

[0088] In step 210, a sensing instruction is sent to the first node, where the sensing instruction includes information of the target to be measured.

[0089] In step 220, the perception information reported by the first node is received.

[0090] Wherein, when the first condition is met, the perception information includes measurement data of the target to be measured; when the second condition is met, the perception information includes deformation information determined according to the measurement data.

[0091] In this embodiment, both the first node and the second node have sensing capabilities. The first node can be used to obtain measurement data of the target and report the measurement data to the second node. The second node then processes the measurement data to analyze the deformation of the target. The first node can also be referred to as a sensing node, and the second node can also be referred to as a sensing network element.

[0092] The second node can send perception instructions to the first node according to application requirements. After receiving the perception instructions and completing the perception configuration, the first node can send an integrated waveform to the target to be measured, obtain the measurement data of the target to be measured, and then report the perception information to the second node.

[0093] On this basis, the first node cooperates with the second node. During the continuous observation of the target to be measured, the first node can flexibly report the perceived data to the second node. It can directly report the measurement data or report the deformation information calculated from the measurement data, which can meet the system overhead requirements and improve efficiency.

[0094] In one embodiment, the second node can be configured with a preset deformation threshold. If the deformation information of the target to be measured exceeds the preset deformation threshold, the first node or the second node can send an early warning message to the application end (such as a user terminal such as a computer or mobile phone).

[0095] In one embodiment, the first node or the second node may also predict the deformation trend of the target to be measured within a period of time in the future based on the deformation information, so as to provide guidance for subsequent monitoring and maintenance work.

[0096] In one embodiment, the method further includes: S230, calculating deformation information of the target to be measured based on the measurement data.

[0097] In one embodiment, the method further includes: S240, predicting a deformation trend of the target to be measured based on the deformation information.

[0098] In one embodiment, the deformation information includes at least one of the following:

[0099] Time series information, where each column of the time series information corresponds to the scattering information measured at each distance and each angle at the corresponding moment in the column;

[0100] Interference information, the interference information is obtained by sequentially conjugating the non-reference column with the reference column in the time series information. The reference column is the column corresponding to the reference time, and the non-reference column is the column corresponding to the time other than the reference time;

[0101] Interference phase information, where the interference phase information is determined according to the phase of the interference information;

[0102] Coherence information, the coherence information is determined by modulo the interference information;

[0103] Deformation variable information, the deformation variable information including the deformation variable at each time relative to the reference time except the reference time, the deformation variable information being determined based on the interference information or the interference phase information;

[0104] First deformation curve information, the first deformation curve information is determined according to deformation amount information of a specified target at different times;

[0105] Second deformation curve information, the second deformation curve information includes deformation amounts of targets at the same angle but different distances at a specified time relative to a reference time;

[0106] Third deformation curve information, the third deformation curve information includes deformation amounts of targets at the same distance but different angles at a specified time relative to a reference time;

[0107] a first deformation trend, the first deformation trend being determined according to a deformation curve of a target distributed along a distance at a specified angle;

[0108] a second deformation trend, the second deformation trend being determined according to a deformation curve of a target distributed along an angle at a specified distance;

[0109] Vibration amplitude, the vibration amplitude is determined according to the deformation information;

[0110] Vibration frequency: The vibration frequency is determined based on the deformation information.

[0111] In one embodiment, the method further comprises:

[0112] S250: When the deformation information exceeds a preset deformation threshold, a first warning message is sent to the application end.

[0113] In one embodiment, the method further comprises:

[0114] S260: When the deformation trend includes deformation information exceeding a preset deformation threshold, a second warning message and a confidence level are sent to the application end.

[0115] In one embodiment, the confidence level is determined based on interference information in the deformation information.

[0116] In one embodiment, the sensing information is periodically reported by the first node; or,

[0117] The first node reports the report upon receiving the report request from the second node; or

[0118] The first node reports the deformation information when it exceeds a preset deformation threshold; or

[0119] The first node reports when the deformation trend contains deformation information exceeding a preset deformation threshold.

[0120] In one embodiment, the target to be measured includes at least one target or area specified by the application end, or is determined by the second node according to the requirements of the application end.

[0121] In this embodiment, the target to be measured may be at least one target or at least one area specified by the application end, or may be at least one target or at least one area determined by the second node according to application requirements of the application end.

[0122] In one embodiment, the target to be detected includes a continuously distributed target or area, or a discretely distributed target or area.

[0123] In this embodiment, the target to be measured may be a continuously distributed target or area, or a discretely distributed target or area.

[0124] The deformation sensing method of the present application is exemplified below through some embodiments.

[0125] Example 1

[0126] In this embodiment, the first node is, for example, a sensing node, and the second node is, for example, a sensing network element. The sensing node does not have computing capabilities and may periodically report raw measurement data to the sensing network element. The target to be measured is an area, namely, a target area.

[0127] Based on application requirements, the sensing network element sends sensing instructions (or sensing requests) to the sensing node. After completing the sensing configuration, the sensing node sends an integrated waveform to the target area to obtain measurement data for the target area. To reduce system overhead, the sensing network element can inform the sensing node of the target area of ​​interest. Based on the target area information sent by the sensing network element, the sensing node periodically reports the measurement data of the target area to the sensing network element. The sensing node calculates the deformation information of the target area based on the received measurement data and predicts future deformation trends based on the calculated deformation information.

[0128] In addition, the perception network element can determine whether the current deformation information has exceeded the preset deformation threshold based on the preset deformation threshold. If it exceeds, a short message (i.e., a first warning message) can be sent to the application end for warning. If the predicted deformation trend also exceeds the preset deformation threshold, a short message (i.e., a second warning message) can be sent to the application end for warning. At the same time, the confidence level of the second warning message can also be sent to the application end. The above confidence level indicates the reliability of the predicted future deformation trend. The application end can provide guidance for the next step of work based on the warning message and confidence level issued by the perception network element.

[0129] Example 2

[0130] In this embodiment, the first node is, for example, a sensing node, and the second node is, for example, a sensing network element. The sensing node has computing capabilities and can periodically report raw measurement data to the sensing network element. The target to be measured is an area, namely, a target area.

[0131] Because the sensing node has computing power, it can process the measurement data and obtain deformation information of the target area. This deformation information is the preliminary perception information of the target area. The sensing node periodically reports this deformation information to the sensing network element. The sensing network element analyzes the deformation information and compares it with the preset deformation threshold to determine whether the current deformation information has exceeded the preset deformation threshold. If it exceeds the preset deformation threshold, it can send a short message (i.e., a first warning message) to the application end for warning. In addition, the sensing network element can also predict the deformation trend in the future based on the above deformation information. If the predicted deformation trend also exceeds the preset deformation threshold, it can also send a short message (i.e., a second warning message) to the application end for warning, and can also send a confidence level to the application end. The application end can provide guidance for the next step based on the warning message and confidence level issued by the sensing network element.

[0132] Example 3

[0133] In this embodiment, the first node is, for example, a sensing node, and the second node is, for example, a sensing network element. The sensing node has computing capabilities and reports deformation information to the sensing network element based on a triggering event. The triggering event may be: deformation information exceeding a preset deformation threshold. The target to be measured is an area, namely, a target area.

[0134] Because the sensing nodes possess computing power, they can process the measured data and derive deformation information from it. The sensing network element sends a preset deformation threshold to the sensing node. The sensing node directly analyzes this deformation information and compares it with the preset deformation threshold to determine whether the current deformation information exceeds the preset deformation threshold. If so, the sensing node reports the deformation information to the sensing network element; otherwise, the sensing node does not report the deformation information. If the current deformation information exceeds the preset deformation threshold, the sensing node or sensing network element can send a short message (i.e., a first warning message) to the application end as an early warning.

[0135] Furthermore, if the sensing network element receives deformation information reported by a sensing node, it can also request the application to send a short message (i.e., a second warning message) to issue a warning and also send a confidence level to the application. The application can then provide guidance for the next step based on the warning message and confidence level sent by the sensing network element.

[0136] Example 4

[0137] In this embodiment, the first node is, for example, a sensing node, and the second node is, for example, a sensing network element. The sensing node has computing capabilities and reports deformation information according to a reporting request from the sensing network element. The target to be measured is an area, namely, a target area.

[0138] Because the sensing node has computing capabilities, it can process the measured data and obtain deformation information of the target area. If the sensing node receives a reporting request from the sensing network element, it reports the deformation information to the sensing network element. Otherwise, it may report the deformation information in accordance with the methods described in the second or third embodiments. If the sensing network element receives the sensing information reported by the sensing node as requested, it may analyze the deformation information and compare it with a preset deformation threshold to determine whether the current deformation information exceeds the preset deformation threshold. If so, it may send a short message (i.e., a first warning message) to the application end to issue a warning. In addition, the sensing network element may also predict the deformation trend over a period of time based on the deformation information. If the predicted deformation trend also exceeds the preset deformation threshold, it may also send a short message (i.e., a second warning message) to the application end to issue a warning and may also send a confidence level to the application end. The application end may provide guidance for the next step based on the warning message and confidence level issued by the sensing network element.

[0139] The present application also provides a deformation sensing device. FIG9 is a schematic diagram of the structure of a deformation sensing device provided by an embodiment. As shown in FIG9 , the deformation sensing device includes:

[0140] The instruction receiving module 310 is configured to receive a sensing instruction from the second node, wherein the sensing instruction includes information of the target to be measured;

[0141] The measurement sensing module 320 is configured to obtain measurement data of the target by sending an integrated waveform to the target according to the sensing instruction;

[0142] A reporting module 330 is configured to report the sensing information of the target to be measured to the second node;

[0143] Wherein, when the first condition is met, the perception information includes the measurement data; when the second condition is met, the perception information includes deformation information determined based on the measurement data.

[0144] The deformation sensing device of this embodiment can directly report the measurement data or report the deformation information obtained by calculating the measurement data by flexibly reporting the sensed data to the second node during the continuous observation of the target to be measured. The first node and the second node cooperate to complete the measurement perception, which can meet the system overhead requirements and improve efficiency.

[0145] In one embodiment, the apparatus further comprises:

[0146] The calculation module is configured to calculate the deformation information of the target to be measured based on the measurement data.

[0147] In one embodiment, the apparatus further comprises:

[0148] The prediction module is configured to predict the deformation trend of the target to be measured based on the deformation information.

[0149] In one embodiment, the deformation information includes at least one of the following:

[0150] Time series information, each column of the time series information corresponds to scattering information measured at each distance and each angle at a corresponding time in the column;

[0151] Interference information, where the interference information is obtained by sequentially conjugating a non-reference column with a reference column in the time series information, where the reference column is a column corresponding to a reference time, and the non-reference column is a column corresponding to a time other than the reference time;

[0152] Interference phase information, the interference phase information being determined according to the phase of the interference information;

[0153] Coherence information, the coherence information being determined by modulo the interference information;

[0154] deformation amount information, the deformation amount information including the deformation amount at each moment other than a reference moment relative to the reference moment, the deformation amount information being determined based on the interference information or the interference phase information;

[0155] first deformation curve information, the first deformation curve information being determined based on deformation amount information of a designated target at different times relative to a reference time;

[0156] Second deformation curve information, the second deformation curve information including deformation amounts of targets at the same angle but different distances at a specified time relative to a reference time;

[0157] third deformation curve information, the third deformation curve information including deformation amounts of the target at the same distance but different angles at a specified time relative to a reference time;

[0158] a first deformation trend, the first deformation trend being determined according to a deformation curve of a target distributed along a distance at a specified angle;

[0159] a second deformation trend, the second deformation trend being determined according to a deformation curve of a target distributed along an angle at a specified distance;

[0160] a vibration amplitude, the vibration amplitude being determined according to the deformation amount information;

[0161] A vibration frequency is determined according to the deformation amount information.

[0162] In one embodiment, the reporting module 330 is configured to be one of the following:

[0163] Periodically reporting the sensing information of the target to be measured to the second node;

[0164] Upon receiving the reporting request from the second node, reporting the perception information of the target to be measured to the second node;

[0165] Reporting when the deformation information exceeds a preset deformation threshold;

[0166] When the deformation trend includes deformation information exceeding a preset deformation threshold, the report is submitted.

[0167] In one embodiment, the apparatus further comprises:

[0168] The first warning module is configured to send a first warning message to the application end when the deformation information exceeds a preset deformation threshold.

[0169] In one embodiment, the apparatus further comprises:

[0170] The second warning module is configured to send a second warning message and a confidence level to the application end when the deformation trend includes deformation information exceeding a preset deformation threshold.

[0171] In one embodiment, the confidence level is determined based on interference information in the deformation information.

[0172] In one embodiment, the target to be measured includes at least one target or area specified by the application end, or is determined by the second node according to the requirements of the application end.

[0173] In one embodiment, the target to be detected includes a continuously distributed target or area, or a discretely distributed target or area.

[0174] The deformation sensing device proposed in this embodiment and the deformation sensing method proposed in the above embodiment belong to the same concept. For technical details not fully described in this embodiment, please refer to any of the above embodiments, and this embodiment has the same beneficial effects as executing the deformation sensing method.

[0175] The present application also provides a deformation sensing device. FIG10 is a schematic diagram of the structure of another deformation sensing device provided by an embodiment. As shown in FIG10 , the deformation sensing device includes:

[0176] An instruction sending module 410 is configured to send a sensing instruction to the first node, wherein the sensing instruction includes information of the target to be measured;

[0177] An information receiving module 420 is configured to receive the perception information reported by the first node;

[0178] Wherein, when the first condition is met, the perception information includes measurement data of the target to be measured; when the second condition is met, the perception information includes deformation information determined according to the measurement data.

[0179] The deformation perception device of this embodiment can receive perception data reported by the first node during continuous observation of the target to be measured. It can directly receive measurement data, or it can receive deformation information obtained by calculating the measurement data by the first node. The first node and the second node cooperate to complete the measurement perception, which can meet the system overhead requirements and improve efficiency.

[0180] In one embodiment, the apparatus further comprises:

[0181] The calculation module is configured to calculate the deformation information of the target to be measured based on the measurement data.

[0182] In one embodiment, the device further comprises:

[0183] The prediction module is configured to predict the deformation trend of the target to be measured based on the deformation information.

[0184] In one embodiment, the deformation information includes at least one of the following:

[0185] Time series information, each column of the time series information corresponds to scattering information measured at each distance and each angle at a corresponding time in the column;

[0186] Interference information, where the interference information is obtained by sequentially conjugating a non-reference column with a reference column in the time series information, where the reference column is a column corresponding to a reference time, and the non-reference column is a column corresponding to a time other than the reference time;

[0187] Interference phase information, the interference phase information being determined according to the phase of the interference information;

[0188] Coherence information, the coherence information being determined by modulo the interference information;

[0189] deformation amount information, the deformation amount information including the deformation amount at each moment other than a reference moment relative to the reference moment, the deformation amount information being determined based on the interference information or the interference phase information;

[0190] First deformation curve information, where the first deformation curve information is determined based on deformation amount information of a designated target at different times;

[0191] Second deformation curve information, the second deformation curve information including deformation amounts of targets at the same angle but different distances at a specified time relative to a reference time;

[0192] third deformation curve information, the third deformation curve information including deformation amounts of the target at the same distance but different angles at a specified time relative to a reference time;

[0193] a first deformation trend, the first deformation trend being determined according to a deformation curve of a target distributed along a distance at a specified angle;

[0194] a second deformation trend, the second deformation trend being determined according to a deformation curve of a target distributed along an angle at a specified distance;

[0195] a vibration amplitude, the vibration amplitude being determined according to the deformation amount information;

[0196] A vibration frequency is determined according to the deformation amount information.

[0197] In one embodiment, the apparatus further comprises:

[0198] The first warning module is configured to send a first warning message to the application end when the deformation information exceeds a preset deformation threshold.

[0199] In one embodiment, the apparatus further comprises:

[0200] a second warning module configured to send a second warning message and a confidence level to the application end when the deformation trend includes deformation information exceeding a preset deformation threshold;

[0201] In one embodiment, the confidence level is determined based on interference information in the deformation information.

[0202] In one embodiment, the perception information is periodically reported by the first node; or,

[0203] The first node reports the report upon receiving the reporting request from the second node; or

[0204] The first node reports the deformation information when it exceeds a preset deformation threshold; or

[0205] The first node reports when the deformation trend includes deformation information exceeding a preset deformation threshold.

[0206] In one embodiment, the target to be measured includes at least one target or area specified by the application end, or is determined by the second node according to the requirements of the application end.

[0207] In one embodiment, the target to be detected includes a continuously distributed target or area, or a discretely distributed target or area.

[0208] The deformation sensing device proposed in this embodiment and the deformation sensing method proposed in the above embodiment belong to the same concept. For technical details not fully described in this embodiment, please refer to any of the above embodiments, and this embodiment has the same beneficial effects as executing the deformation sensing method.

[0209] An embodiment of the present application also provides a communication node. Figure 11 is a schematic diagram of the hardware structure of a communication node provided by an embodiment. As shown in Figure 11, the communication node provided by the present application includes a processor 510 and a memory 520; the processor 510 in the communication node can be one or more, and Figure 11 takes one processor 510 as an example; the memory 520 is configured to store one or more programs; the one or more programs are executed by the one or more processors 510, so that the one or more processors 510 implement the deformation perception method as described in the embodiment of the present application.

[0210] The communication node further includes: a communication device 530 , an input device 540 and an output device 550 .

[0211] The processor 510, memory 520, communication device 530, input device 540 and output device 550 in the communication node may be connected via a bus or other means. FIG11 takes the bus connection as an example.

[0212] The input device 540 may be used to receive input digital or character information and generate key signal input related to user settings and function control of the communication node. The output device 550 may include a display device such as a display screen.

[0213] The communication device 530 may include a receiver and a transmitter. The communication device 530 is configured to perform information transmission and reception communication according to the control of the processor 510.

[0214] The memory 520, as a computer-readable storage medium, can be configured to store software programs, computer executable programs, and modules, such as program instructions / modules corresponding to the deformation sensing method described in the embodiments of the present application (for example, the instruction receiving module 310, the measurement sensing module 320, and the reporting module 330 in the deformation sensing device). The memory 520 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data created based on the use of the communication node, etc. In addition, the memory 520 may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 520 may further include a memory remotely located relative to the processor 510, and these remote memories may be connected to the communication node via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0215] The embodiment of the present application also provides a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the deformation perception method described in any one of the embodiments of the present application is implemented. The method is applied to a first node, comprising: receiving a perception instruction from a second node, wherein the perception instruction includes information of a target to be measured; according to the perception instruction, obtaining measurement data of the target to be measured by sending an integrated waveform to the target to be measured; reporting the perception information of the target to be measured to the second node; wherein, when the first condition is met, the perception information includes the measurement data; when the second condition is met, the perception information includes deformation information determined based on the measurement data.

[0216] Alternatively, the method is applied to the second node, including: sending a perception instruction to the first node, the perception instruction including information of the target to be measured; receiving perception information reported by the first node; wherein, when the first condition is met, the perception information includes measurement data of the target to be measured; when the second condition is met, the perception information includes deformation information determined based on the measurement data.

[0217] An embodiment of the present application further provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements any deformation perception method described in the embodiments of the present application.

[0218] The computer storage medium of the embodiment of the present application can adopt any combination of one or more computer-readable media.Computer-readable media can be computer-readable signal media or computer-readable storage media.Computer-readable storage media can be, for example, but not limited to: electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or components, or any combination thereof.More specific examples (non-exhaustive list) of computer-readable storage media include: electrical connections with one or more wires, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM), flash memories, optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.Computer-readable storage media can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0219] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such a propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0220] The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wire, optical cable, radio frequency (RF), etc., or any suitable combination of the foregoing.

[0221] The computer program code for performing the operations of the present application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., using an Internet service provider to connect via the Internet).

[0222] An embodiment of the present application further provides a computer program product, comprising a computer program / instruction, which, when executed by a processor, implements the video encoding method as described in any of the above embodiments.

[0223] The above description is merely an exemplary embodiment of the present application and is not intended to limit the scope of protection of the present application.

[0224] It will be understood by those skilled in the art that the term user terminal covers any suitable type of wireless user equipment, such as a mobile phone, a portable data processor, a portable web browser or a vehicle-mounted mobile station.

[0225] In general, various embodiments of the present application may be implemented in hardware or dedicated circuits, software, logic, or any combination thereof. For example, some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software that can be executed by a controller, microprocessor, or other computing device, although the present application is not limited thereto.

[0226] Embodiments of the present application may be implemented by executing computer program instructions by a data processor of a mobile device, for example, in a processor entity, or by hardware, or by a combination of software and hardware. The computer program instructions may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages.

[0227] The block diagram of any logic flow in the drawings of this application may represent program steps, or may represent interconnected logic circuits, modules and functions, or may represent a combination of program steps and logic circuits, modules and functions. A computer program may be stored on a memory. The memory may be of any type suitable for the local technical environment and may be implemented using any suitable data storage technology, such as but not limited to read-only memory (ROM), random access memory (RAM), optical storage devices and systems (digital versatile discs (DVD) or compact disks (CD), etc.). Computer-readable media may include non-transitory storage media. The data processor may be of any type suitable for the local technical environment, such as but not limited to a general-purpose computer, a special-purpose computer, a microprocessor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a programmable logic device (FPGA) and a processor based on a multi-core processor architecture.

Claims

1. A deformation perception method, applied to a first node, comprising: receiving a sensing instruction from the second node, wherein the sensing instruction includes information of the target to be measured; Acquiring measurement data of the target to be measured by sending an integrated waveform to the target to be measured according to the sensing instruction; Reporting the perception information of the target to be measured to the second node; Wherein, when the first condition is met, the perception information includes the measurement data; when the second condition is met, the perception information includes deformation information determined based on the measurement data.

2. The method according to claim 1, further comprising: The deformation information of the target to be measured is calculated according to the measurement data.

3. The method according to claim 1 or 2, further comprising: The deformation trend of the target to be measured is predicted according to the deformation information.

4. The method according to claim 1 or 2, wherein: The deformation information includes at least one of the following: Time series information, wherein each column of the time series information corresponds to scattering information measured at each distance and each angle at a corresponding time in the column; Interference information, wherein the interference information is obtained by sequentially conjugating a non-reference column with a reference column in the time series information, the reference column being a column corresponding to a reference time, and the non-reference column being a column corresponding to a time other than the reference time; Interference phase information, wherein the interference phase information is determined according to the phase of the interference information; Coherence information, wherein the coherence information is determined by taking a modulo of the interference information; Deformation amount information, wherein the deformation amount information includes the deformation amount at each time point other than the reference time point relative to the reference time point, and the deformation amount information is determined according to the interference information or the interference phase information; first deformation curve information, wherein the first deformation curve information is determined according to deformation amount information of the designated target at different times relative to the reference time; Second deformation curve information, wherein the second deformation curve information includes deformation amounts of targets at the same angle but different distances relative to the reference time at a specified time; third deformation curve information, wherein the third deformation curve information includes deformation amounts of the target at the same distance but different angles relative to the reference time at a specified time; A first deformation trend, wherein the first deformation trend is distributed along the distance according to a specified angle. The deformation curve is determined; a second deformation trend, wherein the second deformation trend is determined based on a deformation curve of a target distributed along an angle at a specified distance; Vibration amplitude, wherein the vibration amplitude is determined according to the deformation amount information; A vibration frequency, wherein the vibration frequency is determined according to the deformation amount information.

5. The method according to claim 3, wherein: Reporting the perception information of the target to be measured to the second node includes one of the following: Periodically reporting the sensing information of the target to be measured to the second node; Upon receiving the reporting request from the second node, reporting the perception information of the target to be measured to the second node; Reporting when the deformation information exceeds a preset deformation threshold; When the deformation trend includes deformation information exceeding a preset deformation threshold, the report is submitted.

6. The method according to claim 1 or 2, further comprising: When the deformation information exceeds a preset deformation threshold, a first warning message is sent to the application end.

7. The method according to claim 3, further comprising: When the deformation trend includes deformation information exceeding a preset deformation threshold, a second warning message and a confidence level are sent to the application end.

8. The method according to claim 7, wherein: The confidence level is determined based on interference information in the deformation information.

9. The method according to claim 1, 2 or 5, wherein: The target to be measured includes at least one target or area specified by the application end, or is determined by the second node according to the requirements of the application end.

10. The method according to claim 1, 2 or 5, wherein The target to be measured includes a continuously distributed target or area, or a discretely distributed target or area.

11. A deformation perception method, applied to a second node, comprising: Sending a sensing instruction to the first node, wherein the sensing instruction includes information of the target to be measured; receiving the perception information reported by the first node; Wherein, when the first condition is met, the perception information includes measurement data of the target to be measured; when the second condition is met, the perception information includes deformation information determined according to the measurement data.

12. The method according to claim 11, further comprising: The deformation information of the target to be measured is calculated according to the measurement data.

13. The method according to claim 11 or 12, further comprising: The deformation trend of the target to be measured is predicted according to the deformation information.

14. The method according to claim 11 or 12, wherein: The deformation information includes at least one of the following: Time series information, wherein each column of the time series information corresponds to scattering information measured at each distance and each angle at a corresponding time in the column; Interference information, wherein the interference information is obtained by sequentially conjugating a non-reference column with a reference column in the time series information, the reference column being a column corresponding to a reference time, and the non-reference column being a column corresponding to a time other than the reference time; Interference phase information, wherein the interference phase information is determined according to the phase of the interference information; Coherence information, wherein the coherence information is determined by taking a modulo of the interference information; Deformation amount information, wherein the deformation amount information includes the deformation amount at each time point other than the reference time point relative to the reference time point, and the deformation amount information is determined according to the interference information or the interference phase information; first deformation curve information, wherein the first deformation curve information is determined according to deformation amount information of the designated target at different times relative to the reference time; Second deformation curve information, wherein the second deformation curve information includes deformation amounts of targets at the same angle but different distances relative to the reference time at a specified time; third deformation curve information, wherein the third deformation curve information includes deformation amounts of the target at the same distance but different angles relative to the reference time at a specified time; a first deformation trend, wherein the first deformation trend is determined based on a deformation curve of a target distributed along a distance at a specified angle; a second deformation trend, wherein the second deformation trend is determined based on a deformation curve of a target distributed along an angle at a specified distance; Vibration amplitude, wherein the vibration amplitude is determined according to the deformation amount information; A vibration frequency, wherein the vibration frequency is determined according to the deformation amount information.

15. The method according to claim 11 or 12, further comprising: When the deformation information exceeds a preset deformation threshold, a first warning message is sent to the application end.

16. The method according to claim 13, further comprising: When the deformation trend includes deformation information exceeding a preset deformation threshold, a second warning message and a confidence level are sent to the application end.

17. The method according to claim 16, wherein The confidence level is determined based on interference information in the deformation information.

18. The method according to claim 13, wherein The perception information is periodically reported by the first node; or, The first node reports the report upon receiving the reporting request from the second node; or, The first node reports when the deformation information exceeds a preset deformation threshold; or, The first node reports when the deformation trend includes deformation information exceeding a preset deformation threshold.

19. The method according to claim 11, 12 or 18, wherein The target to be measured includes at least one target or area specified by the application end, or is determined by the second node according to the requirements of the application end.

20. The method of claim 11, 12 or 18, wherein The target to be measured includes a continuously distributed target or area, or a discretely distributed target or area.

21. A communication node, comprising: memory, and at least one processor; The memory is configured to store at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the deformation perception method according to any one of claims 1 to 20.

22. A computer-readable storage medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the deformation perception method according to any one of claims 1 to 20 is implemented.

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