Method and apparatus for determining target object trajectory, electronic device, and medium

Abstract

The present application relates to the technical field of target object trajectory determination, and provides a target object trajectory determination method, device, electronic equipment and computer readable storage medium.The method comprises the following steps: obtaining an optical pulse signal from an optical fiber; determining an optical pulse phase change and an optical pulse frequency change of the optical fiber caused by a target object according to the optical pulse signal; determining an action trajectory of the target object based on the optical pulse phase change and the optical pulse frequency change; and sending an alarm signal to a target device based on the action trajectory of the target object.The method can effectively solve the deficiency of traditional monitoring technology in the application of nuclear power plants, and significantly improve the reliability and efficiency of safety monitoring.

Description

Technical Field

[0001] This invention relates to the field of target object trajectory determination technology, and more particularly to a method, apparatus, electronic device and medium for determining the trajectory of a target object. Background Technology

[0002] Ensuring the safety and operational efficiency of critical infrastructure such as nuclear power plants is paramount. With the widespread adoption of nuclear energy, the safety monitoring systems of nuclear power plants face increasingly severe challenges. These systems must effectively monitor various potential threats, including unauthorized intrusions and abnormal movement by personnel. However, traditional monitoring methods, such as video surveillance systems, while widely used in public and private security, face numerous limitations in the unique environment of nuclear power plants.

[0003] First, nuclear power plants experience significant environmental disturbances, including high radiation levels, extreme temperatures, and humidity, which can negatively impact the performance and stability of monitoring equipment. Traditional video surveillance systems are prone to malfunction in high-radiation environments, leading to data loss or distortion, thus affecting the effectiveness of safety monitoring. Second, the existence of blind spots makes it difficult for video surveillance systems to achieve comprehensive coverage. Nuclear power plants typically have complex structures and confined spaces, areas that may not be effectively monitored by traditional cameras, leading to safety hazards. Especially in underground or enclosed spaces, lighting conditions are often poor, further limiting the effectiveness of video surveillance. Furthermore, the high maintenance costs of traditional video surveillance systems are also a significant issue. Nuclear power plant operations require highly reliable monitoring systems, and the maintenance and upgrading of video surveillance equipment requires substantial human and financial resources, placing a burden on the operational efficiency of nuclear power plants. Summary of the Invention

[0004] In view of this, a first aspect of the present invention provides a method for determining the trajectory of a target object, comprising: acquiring an optical pulse signal from an optical fiber; determining, based on the optical pulse signal, the phase change and frequency change of the optical pulse generated by the target object in the optical fiber; determining the movement trajectory of the target object based on the phase change and frequency change of the optical pulse; and sending an alarm signal to a target device based on the movement trajectory of the target object.

[0005] In some embodiments, determining the phase change and frequency change of the optical pulse caused by the target object in the optical fiber based on the optical pulse signal includes: analyzing the optical pulse signal to obtain acoustic disturbance data, temperature change data, and strain data caused by the target object passing through the optical fiber; calculating the phase change of the optical pulse based on the acoustic disturbance data using a phase change formula; and calculating the frequency change of the optical pulse based on the temperature change data and strain data using a frequency change formula.

[0006] In some embodiments, determining the trajectory of a target object based on changes in the phase and frequency of the light pulse includes: vectorizing the changes in the phase and frequency of the light pulse to obtain feature vectors for the phase and frequency changes; fusing the feature vectors for the phase and frequency changes to obtain a target feature vector of the light pulse signal; and matching the trajectory of the target object based on the target feature vector.

[0007] In some embodiments, matching the action trajectory of a target object based on a target feature vector includes: determining the similarity between the target feature vector and each historical feature vector; determining a historical target feature vector that matches the target feature vector from multiple historical feature vectors based on the similarity between the target feature vector and each historical feature vector; and determining the action trajectory corresponding to the historical target feature vector as the action trajectory of the target object.

[0008] In some embodiments, the movement trajectory includes any one of the following: normal walking trajectory, high-speed walking trajectory, running trajectory, and abnormal movement trajectory.

[0009] In some embodiments, sending an alarm signal to a target device based on the movement trajectory of the target object includes: generating an alarm signal based on the abnormal movement trajectory when the movement trajectory of the target object is an abnormal movement trajectory; and sending an alarm signal to the target device based on the identifier of the target device.

[0010] In some embodiments, the method further includes: when the movement trajectory of the target object is an abnormal movement trajectory, obtaining video data matching the time information from multimedia data based on the time information of the light pulse signal; and sending the video data to the target device so that the target device can display the video data.

[0011] A second aspect of the present invention provides a device for determining the trajectory of a target object, comprising: an acquisition module for acquiring an optical pulse signal from an optical fiber; a first determination module for determining, based on the optical pulse signal, the phase change and frequency change of the optical pulse generated by the target object in the optical fiber; a second determination module for determining the movement trajectory of the target object based on the phase change and frequency change of the optical pulse; and a transmission module for sending an alarm signal to a target device based on the movement trajectory of the target object.

[0012] A third aspect of the present invention provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.

[0013] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described method.

[0014] The beneficial effects of this invention compared to existing technologies are as follows: This invention can acquire optical pulse signals via optical fiber, enabling high-precision monitoring of target objects. Analysis of optical pulse phase and frequency changes can accurately capture minute movements of the target object, improving the sensitivity of the monitoring system. Furthermore, fiber optic sensing technology has excellent anti-electromagnetic interference capabilities and can operate stably in high-radiation environments. This makes this invention particularly suitable for critical infrastructure such as nuclear power plants, overcoming the performance degradation problem of traditional video surveillance systems in high-radiation environments. This invention is not limited by lighting conditions and can achieve all-weather monitoring in various environments. This is especially important for the complex structure and confined spaces inside nuclear power plants, effectively eliminating blind spots in low-light conditions found in traditional monitoring methods. Based on the target object's movement trajectory, alarm signals can be quickly sent to the target equipment. This real-time response mechanism helps to promptly detect and handle potential security threats, improving the safety protection capabilities of nuclear power plants. Compared to traditional video surveillance systems, fiber optic sensors have relatively lower maintenance costs and higher stability. This will reduce the manpower and financial resources that nuclear power plants need to invest in the maintenance and upgrading of monitoring systems, thereby improving overall operational efficiency. It can effectively address the shortcomings of traditional monitoring technologies in nuclear power plant applications and significantly improve the reliability and efficiency of safety monitoring. Attached Figure Description

[0015] Figure 1 This schematic diagram illustrates the propagation of optical pulse information signals through an optical fiber in an embodiment of the present invention.

[0016] Figure 2 This schematic diagram illustrates the propagation of optical pulse information signals through an optical fiber in another embodiment of the present invention.

[0017] Figure 3 The illustration shows a flowchart of a method for determining the trajectory of a target object according to an embodiment of the present invention;

[0018] Figure 4 The flowchart corresponding to step 320 in an embodiment of the present invention is illustrated schematically;

[0019] Figure 5 The flowchart corresponding to step 330 in an embodiment of the present invention is illustrated schematically;

[0020] Figure 6 The flowchart illustrating the method for determining the trajectory of a target object in a nuclear power plant according to an embodiment of the present invention is shown schematically.

[0021] Figure 7 This schematic diagram illustrates a block diagram of a device for determining the trajectory of a target object according to an embodiment of the present invention;

[0022] Figure 8 The schematic diagram illustrates the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0023] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0024] Figure 1 The diagram illustrates the propagation of optical pulse information signals in an optical fiber according to an embodiment of the present invention.

[0025] like Figure 1 The optical fiber shown can be deployed in the monitored area. This fiber is radiation-resistant, enabling it to operate stably in harsh environments and is suitable for long-term monitoring needs. For example, it can be deployed in the monitored area of ​​a nuclear power plant. Specifically, it can be deployed under the floor of the nuclear power plant using an optical fiber network, thus enabling precise location and behavior monitoring of personnel walking on the floor. In this embodiment, a light source can be deployed at the starting point of the optical fiber, and a light receiving device can be deployed at the ending point. The light source can send light pulse signals to the optical fiber in real time or at a preset period, such as... Figure 1 The diagram illustrates the propagation of optical pulse signals via optical fiber. However, the direction of propagation can be affected by factors such as a target object walking on the fiber or machine noise. An optical receiving device can be used to receive the optical pulse signals propagating through the optical fiber. In this embodiment, the light source and optical receiving device can be integrated into a single device or separate devices.

[0026] refer to Figure 2 The movement of a target object along an optical fiber affects the propagation of the optical pulse signal. Specifically, the movement of the target object along the fiber creates multiple scattering points, generating scattered light that influences the direction of optical pulse propagation. For example, the location where the target object passes through the fiber may experience temperature changes and strain due to stress, which in turn affects the frequency of the scattered light. During the propagation of the optical pulse signal, the scattered light frequency caused by temperature changes and strain results in a change in the corresponding optical pulse curve compared to a curve unaffected by the external target object. If... Figure 2As shown, the received optical pulse signal can be processed using the functions corresponding to the two curves to obtain temperature change data and strain data of the optical fiber caused by the target object. Furthermore, processing the strain data can yield acoustic disturbance data of the optical fiber caused by the target object.

[0027] Based on the acoustic disturbance data, temperature change data, and strain data obtained above, the phase change and frequency change of the optical pulse generated by the target object in the optical fiber can be calculated. Then, the movement trajectory of the target object within the monitoring area can be predicted based on these phase and frequency changes. This movement trajectory can then be used to determine whether an alarm mechanism should be triggered. Compared to traditional video surveillance systems, fiber optic sensors have relatively lower maintenance costs and higher stability. This will reduce the manpower and financial resources that nuclear power plants need to invest in the maintenance and upgrading of monitoring systems, thereby improving overall operational efficiency. It can effectively address the shortcomings of traditional monitoring technologies in nuclear power plant applications and significantly improve the reliability and efficiency of safety monitoring.

[0028] Specifically, this invention employs DAS (Distributed Acoustic Sensing) and Brillouin scattering techniques to determine the trajectory of a target object within a detected area. DAS technology utilizes optical fiber as a sensor, transmitting light pulses and analyzing their return signals to monitor changes in acoustic signals along the fiber path in real time. Sound waves in the fiber (such as those generated by the movement of the target object) cause changes in the phase and frequency of the light pulses. This technology offers high spatial resolution and a wide monitoring range, making it suitable for monitoring in complex environments. Brillouin scattering is the phenomenon of light interacting with sound waves in an optical fiber. When a light pulse propagates in the fiber, localized sound waves (such as the movement or vibration of the target object) cause a change in the frequency of the light; this change is called the Brillouin frequency shift. By analyzing the Brillouin scattering signal, motion information of the target object, including changes in velocity, direction, and position, can be extracted. A light pulse signal is emitted into the optical fiber by a light source. The light pulse propagates in the fiber and interacts with sound waves along its path. An optical receiver receives the light pulse signal after Brillouin scattering and converts it into an electrical signal for subsequent analysis. By processing the received light pulse signals, the phase and frequency changes of the light pulses can be extracted. These changes reflect the dynamic behavior of the target object within the monitoring area. Phase changes can be measured using phase comparison techniques, while frequency changes can be obtained through spectral analysis. By combining phase and frequency changes with known motion models, the path of the target object within the monitoring area can be accurately calculated, including its speed, direction, and position changes. This allows for real-time updates of the target object's trajectory, ensuring the timeliness of monitoring information. When abnormal behavior or deviations from the normal trajectory of the target object are detected, an alarm mechanism can be automatically triggered to facilitate timely implementation of appropriate safety measures. This method for determining the target object's trajectory based on light pulse phase and frequency changes, combined with DAS and Brillouin scattering techniques, achieves efficient and accurate monitoring of target objects in complex environments, significantly enhancing the capabilities and effectiveness of security monitoring.

[0029] The method and apparatus for determining the trajectory of a target object according to embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0030] Figure 3 The illustration shows a flowchart of a method for determining the trajectory of a target object provided by an embodiment of the present invention.

[0031] like Figure 3 As shown, the method for determining the trajectory of the target object includes steps S310 to S340.

[0032] In step 310, an optical pulse signal is acquired from the optical fiber.

[0033] For example, optical fibers should be rationally arranged according to the specific layout and monitoring requirements of the area to be monitored. Fibers can be laid along walls, floors, or other structural surfaces to ensure coverage of all possible monitoring areas. Their arrangement should minimize interference sources to improve signal accuracy and stability. The selection of optical fibers should consider environmental factors, such as high-temperature resistance, radiation resistance, and tensile strength, to ensure long-term stable operation in special environments such as nuclear power plants. A light source is placed at one end of the optical fiber, responsible for emitting optical pulse signals. The light source can be a laser or other type of optical transmitter, and the emitted optical pulse signal should have sufficient energy and an appropriate wavelength to ensure effective propagation in the optical fiber. The emission frequency and pulse width of the light source can be adjusted according to specific application requirements to optimize signal transmission and monitoring accuracy. The optical pulse signal emitted by the light source propagates through the optical fiber in the form of light waves. During propagation, the optical pulse signal is affected by the target object, causing changes in the phase and frequency of the optical pulse. These changes are caused by the movement, positional changes, or other external factors of the target object. The characteristics of optical fibers enable the optical pulse signal to maintain high transmission quality under different environmental conditions, reducing signal attenuation and distortion. An optical receiver is deployed at the other end of the optical fiber. This receiver is responsible for receiving the optical pulse signals transmitted through the fiber. The optical receiver can be a photodiode, photodetector, or other suitable receiving device capable of converting the optical signal into an electrical signal. The optical receiver can possess high sensitivity and fast response characteristics to ensure timely detection of changes in the optical pulse signal, thereby enabling real-time monitoring of the target object. Through this deployment and setup, the fiber optic monitoring system can achieve efficient and reliable security monitoring in critical infrastructures such as nuclear power plants, and promptly identify potential security threats.

[0034] In step S320, the phase change and frequency change of the optical pulse generated by the target object in the optical fiber are determined based on the optical pulse signal.

[0035] For example, an optical receiver receives light pulse signals emitted by a light source at the other end of an optical fiber. The received signal contains information about the effect of the target object on the light pulses, reflecting the motion state of the target object. The receiver converts the optical signal into an electrical signal, typically through the photoelectric effect. The converted electrical signal is used for subsequent signal processing and analysis. The received electrical signal is amplified and filtered to remove noise and interference, ensuring signal clarity and accuracy. The phase of an optical pulse signal is a specific point within the signal period, usually expressed in angles (such as radians or degrees). When a target object moves near the optical fiber, it causes a change in the propagation path of the light pulses in the fiber, resulting in a phase change in the light pulses. The phase change can be calculated by comparing the phase difference between the received optical pulse signal and the emitted signal. This phase difference can be measured using phase comparison techniques such as phase-locked loops or interferometers. The frequency of an optical pulse refers to the number of light pulses per unit time, usually expressed in Hertz (Hz).

[0036] When a target object moves, it affects the frequency of the light pulse; this phenomenon is called the Doppler effect. By performing spectral analysis on the received light pulse signal, the frequency changes of the light pulse can be determined. Once the phase and frequency changes of the light pulse are obtained, this information can be used to infer the trajectory of the target object. The changes in phase and frequency can be combined with the target object's motion pattern, speed, and direction for comprehensive analysis. Through the above steps, the process of determining the phase and frequency changes of the light pulse signal can effectively reflect the dynamic behavior of the target object within the monitoring area, providing reliable data support for security monitoring.

[0037] In step S330, the trajectory of the target object is determined based on the changes in the phase and frequency of the light pulse.

[0038] For example, a series of optical pulse signals are emitted into an optical fiber by a light source. When the optical pulses propagate through the fiber, if a target object moves near the fiber, it will affect the propagation of the optical pulses, causing changes in their phase and frequency. An optical receiver at the other end of the fiber receives the optical pulse signals propagating through the fiber and converts them into electrical signals. The phase of an optical pulse refers to the position of the light wave at a specific moment within its period. When a target object moves near the fiber, it causes a change in the propagation path of the optical pulses, thus causing a change in the phase of the optical pulses. The phase change can be measured by comparing the phase difference between the received signal and the transmitted signal. Phase comparison techniques are used to compare the phases of the transmitted and received signals to calculate the phase change. The frequency of an optical pulse refers to the number of optical pulses per unit time; the movement of the target object causes a change in the frequency of the optical pulses. By performing spectral analysis on the received optical pulse signal, the frequency change of the optical pulses can be extracted.

[0039] In step S340, an alarm signal is sent to the target device based on the movement trajectory of the target object.

[0040] For example, the movement trajectory includes any of the following: normal walking trajectory, high-speed walking trajectory, running trajectory, and abnormal movement trajectory. When the target object's movement trajectory is an abnormal movement trajectory, an alarm signal is sent to the target device. For example, a normal walking trajectory refers to the trajectory of the target object walking at a normal pace, usually appearing as a smooth, uniform straight line or curve. The speed is within a preset normal range, and the trajectory changes slowly and regularly. This type of trajectory usually indicates normal activity of the target object, and no alarm needs to be triggered when such a trajectory is detected. A high-speed walking trajectory refers to the target object walking at a relatively fast pace, usually exceeding the normal walking range but not reaching running speed. The speed is between normal walking and running, and may show a relatively rapid pace. This type of trajectory may indicate that the target object is moving quickly, but still within an acceptable range, and can be recorded without immediately triggering an alarm. A running trajectory refers to the target object moving in a running manner, with a speed significantly higher than normal walking. The speed usually exceeds a preset speed, such as exceeding 8 km / h, and the trajectory may appear as a rapid straight line or curve, accompanied by large acceleration changes. This type of trajectory may indicate that the target object is engaged in an emergency activity, and such trajectories should be closely monitored. Abnormal movement trajectories refer to the movement patterns of a target object that significantly deviate from expected behavior, potentially exhibiting irregularities, rapid movements, sudden changes in direction, or pauses. The trajectory may display abrupt acceleration, deceleration, repetitive movement, or loitering within a specific area. Such trajectories typically indicate potential security threats, such as unauthorized intrusion or abnormal behavior by internal personnel. By analyzing the target object's movement trajectory in real time, preset algorithms and thresholds are used to determine the trajectory type. When an abnormal movement trajectory is detected, an alarm mechanism is automatically triggered. Upon identification of an abnormal movement trajectory, an alarm signal is immediately sent to the target device (such as the monitoring center or security personnel's mobile devices). The alarm signal may include the target object's location information, trajectory characteristics, and timestamps, enabling security personnel to quickly understand the situation and take action. Sending an alarm signal can trigger a series of subsequent response measures, such as: activating the video surveillance system to monitor the abnormal area in real time; notifying security personnel to immediately proceed to the scene for inspection; and recording the time, location, and trajectory of the abnormal behavior for subsequent analysis and investigation. By classifying the movement trajectories of target objects and implementing corresponding alarm mechanisms, this invention enables rapid identification and response to abnormal behavior, significantly enhancing the security protection capabilities of critical infrastructure such as nuclear power plants. The system's real-time monitoring and intelligent analysis functions make safety management more efficient and reliable.

[0041] This invention enables high-precision monitoring of target objects by acquiring optical pulse signals via optical fiber. Analysis of optical pulse phase and frequency changes allows for accurate detection of minute movements of the target object, enhancing the sensitivity of the monitoring system. Furthermore, fiber optic sensing technology possesses excellent anti-electromagnetic interference capabilities and can operate stably in high-radiation environments. This makes the invention particularly suitable for critical infrastructure such as nuclear power plants, overcoming the performance degradation problem of traditional video surveillance systems in high-radiation environments. This invention is not limited by lighting conditions and can achieve all-weather monitoring in various environments. This is especially important for the complex structures and confined spaces within nuclear power plants, effectively eliminating blind spots in low-light conditions associated with traditional monitoring methods. Based on the target object's movement trajectory, alarm signals can be quickly sent to the target equipment. This real-time response mechanism helps to promptly detect and address potential security threats, improving the safety protection capabilities of nuclear power plants. Compared to traditional video surveillance systems, fiber optic sensors have relatively lower maintenance costs and higher stability. This reduces the human and financial resources required for the maintenance and upgrading of monitoring systems in nuclear power plants, thereby improving overall operational efficiency and effectively addressing the shortcomings of traditional monitoring technologies in nuclear power plant applications, significantly improving the reliability and efficiency of safety monitoring.

[0042] Figure 4 The schematic diagram illustrates a specific flow chart of step S320 in an embodiment of the present invention. Step S320 may specifically include steps S410 to S430.

[0043] In step S410, the optical pulse signal is analyzed to obtain data on acoustic disturbances, temperature changes, and strain caused by the target object in the optical fiber.

[0044] For example, when the target object moves on the optical fiber, by Figure 2 The function corresponding to the curve shown by the dashed line can analyze and process the received optical pulse signal to obtain data on acoustic disturbances, temperature changes, and strain caused by the target object in the optical fiber. Specifically, the optical pulse signal can be processed first to obtain temperature change and strain data, and then the acoustic disturbance data can be determined based on the strain data.

[0045] Specifically, the optical receiver receives optical pulse signals propagating through the optical fiber. These signals contain information about various changes caused by the movement of the target object. The received signals are typically electrical signals converted from photoelectric signals. The received optical pulse signals are input into a curve function for processing. This curve function can be based on a combination of Fourier transform, wavelet transform, or other signal processing techniques, aiming to extract useful data from complex signals. The main goal of this curve function is to separate and extract different types of information contained in the optical pulse signals, including temperature changes, strain, and acoustic disturbances. In optical fibers, temperature changes affect the propagation speed of light and the phase of the optical pulses. By analyzing the phase changes of the optical pulse signals, temperature changes can be inferred. The function can calculate the temperature change data by comparing the phase difference between the received signal and a reference signal. Typically, temperature changes are related to the Brillouin scattering characteristics of optical fibers, which can be used for temperature monitoring. Strain refers to the degree of deformation of a material under external force. In optical fibers, the movement of the target object causes minute deformations in the fiber, resulting in strain changes in the optical pulse signals. By analyzing the amplitude and phase changes of the optical pulse signals, the function can calculate the strain data of the optical fiber. This strain data reflects the stress on the optical fiber during the movement of the target object. Based on the extracted strain data, acoustic disturbance data can be further determined. Acoustic disturbances are typically caused by the motion of the target object, especially under conditions of rapid movement or impact. Acoustic disturbance data can be calculated using the rate of change of strain data. For example, when strain data shows rapid changes, the corresponding acoustic disturbance can be inferred. This method typically depends on the velocity and motion pattern of the target object.

[0046] By analyzing and processing optical pulse signals, temperature change data, strain data, and acoustic disturbance data can be effectively extracted. This process not only improves the accuracy and reliability of monitoring but also provides crucial data support for subsequent safety analysis and decision-making. The implementation of this method will significantly enhance the safety monitoring capabilities of critical infrastructure such as nuclear power plants.

[0047] In step S420, the phase change of the optical pulse is calculated based on the acoustic wave disturbance data using the phase change formula.

[0048] For example, the above phase change formula is as follows:

[0049]

[0050] in, This represents the phase change of the optical pulse at position z in the fiber optic cable at time t, where the target object is located. L represents the total length of the fiber optic cable. Indicates the location of acoustic disturbance data in the optical fiber. The coefficient of the resulting optical phase change, This represents the acoustic perturbation data of the target object at position z in the optical fiber at time t.

[0051] The above formula can be used to calculate the phase change of the optical pulse generated by the target object at any position in the optical fiber based on the acoustic wave disturbance data generated by the target object as it passes through the optical fiber at any time.

[0052] In step S430, the frequency change of the light pulse is calculated based on the temperature change data and strain data using the frequency change formula.

[0053] For example, the frequency change of the optical pulse is calculated based on the temperature change data and strain data of the optical fiber caused by the target object using a frequency change formula, as follows:

[0054]

[0055] in, This indicates a change in the frequency of the light pulse; in this embodiment, it can refer to a change in the frequency of the scattered light. This represents the frequency of the scattered light when undisturbed. and These represent temperature change data and strain change data, respectively. and These represent the partial derivatives of velocity with respect to temperature and strain, respectively.

[0056] By analyzing optical pulse signals and calculating phase and frequency changes, data on acoustic disturbances, temperature changes, and strain caused by the movement of target objects can be effectively obtained. This process not only improves the accuracy and reliability of monitoring but also provides crucial data support for subsequent safety analysis and decision-making. The implementation of this method will significantly enhance the safety monitoring capabilities of critical infrastructure such as nuclear power plants.

[0057] Figure 5 The schematic diagram illustrates a specific flow chart of step S330 in an embodiment of the present invention. Step S330 may specifically include steps S510 to S530.

[0058] In step S510, the phase change and frequency change of the optical pulse are vectorized to obtain the characteristic vectors of the phase change and frequency change of the optical pulse.

[0059] For example, the phase change of a light pulse can refer to the phase difference caused by the influence of a target object during the propagation of the light pulse. The phase change can be represented as a time-series data, reflecting the dynamic behavior of the target object within the monitoring area. Phase change data is extracted from the light pulse signal; this data is typically a time-based sequence. The extracted phase change data is then converted into a feature vector, which serves as the feature vector of the light pulse phase change.

[0060] Optical pulse frequency variation can refer to changes in optical pulse frequency caused by factors such as temperature changes and strain. Frequency variation can also be represented as a time series data point, reflecting the dynamic changes in the optical fiber environment. Frequency variation data is extracted from the optical pulse signal and transformed into a feature vector, which serves as the feature vector of optical pulse frequency variation.

[0061] By vectorizing the phase and frequency changes of optical pulses, feature vectors can be extracted, providing a foundation for subsequent data analysis, machine learning, and pattern recognition. This process not only improves the accuracy and reliability of monitoring but also provides crucial data support for safety analysis and decision-making.

[0062] In step S520, the feature vectors of the optical pulse phase change and the feature vectors of the optical pulse frequency change are fused to obtain the target feature vector of the optical pulse signal.

[0063] For example, the feature vectors of light pulse phase change and light pulse frequency change can be input into a pre-trained motion trajectory recognition model. Based on this motion trajectory recognition model, the feature vectors of light pulse phase change and light pulse frequency change can be fused by concatenation or weighted averaging to obtain the target feature vector of the light pulse signal. By fusing the feature vectors of phase change and frequency change, a comprehensive target feature vector can be obtained, providing richer information for subsequent analysis and decision-making.

[0064] In step S530, the movement trajectory of the target object is matched based on the target feature vector.

[0065] For example, a movement trajectory can refer to the movement path of a target object within a monitored area, typically consisting of a series of continuous location information and timestamps. Movement trajectories can be of different types, such as normal walking, running, high-speed walking, or abnormal behavior. By comprehensively determining the target's feature vector, the corresponding movement trajectory can be accurately matched from historical movement trajectories and used as the target object's movement trajectory.

[0066] By vectorizing the phase and frequency changes of light pulses and fusing them to generate a target feature vector, and then matching the target object's movement trajectory based on this feature vector, the system can effectively identify and analyze the target object's behavioral patterns. This process not only improves the accuracy and reliability of monitoring but also provides crucial data support for safety analysis and decision-making, thereby enhancing the safety monitoring capabilities of critical infrastructure such as nuclear power plants.

[0067] In some embodiments, step S530 may specifically include determining the similarity between the target feature vector and each historical feature vector; determining a historical target feature vector matching the target feature vector from multiple historical feature vectors based on the similarity between the target feature vector and each historical feature vector; and determining the action trajectory corresponding to the historical target feature vector as the action trajectory of the target object. For example, the historical feature vectors may be determined based on historical optical pulse phase change data and historical optical pulse frequency change data, and each historical feature vector may be configured with a corresponding action trajectory. In this embodiment, the historical optical pulse phase change data and historical optical pulse frequency change data may be generated by the optical fiber due to the target object in the past time period, and the action trajectory configured for each historical feature vector is the actual action trajectory of the target object in that time period. In the action trajectory recognition model, the similarity between the target feature vector and each historical feature vector can be calculated by a preset algorithm. The preset algorithm may be an Euclidean distance algorithm, a cosine similarity algorithm, or an algorithm such as a cosine similarity algorithm. The similarity between the target feature vector and each historical feature vector is compared with a preset similarity threshold. When the similarity between the target feature vector and the historical feature vector is greater than or equal to the preset similarity threshold, the historical feature vector is determined to be the historical target feature vector matching the target feature vector. The movement trajectories corresponding to the historical target feature vectors are then determined as the target object's movement trajectory. For example, if the movement trajectory corresponding to the historical target feature vector is a normal walking trajectory, then the target object's movement trajectory is also a normal walking trajectory. Conversely, if the movement trajectory corresponding to the historical target feature vector is an abnormal walking trajectory, then the target object's movement trajectory is also an abnormal walking trajectory.

[0068] By determining the similarity between the target feature vector and each historical feature vector, it is possible to quickly and accurately identify the historical target feature vector that matches the target feature vector from multiple historical feature vectors, and determine the corresponding action trajectory as the action trajectory of the target object, so as to determine whether to trigger the alarm mechanism in a timely manner based on the action trajectory of the target object.

[0069] In some embodiments, sending an alarm signal to a target device based on the target object's movement trajectory includes: generating an alarm signal based on the abnormal movement trajectory when the target object's movement trajectory is the abnormal movement trajectory; and sending an alarm signal to the target device according to the target device's identifier. For example, a movement trajectory refers to the movement path of a target object within a monitoring area, typically consisting of a series of continuous location information and timestamps. Movement trajectories can be classified into normal behaviors (such as walking, jogging) and abnormal behaviors (such as loitering, sudden movement, etc.). Characteristics of abnormal movement trajectories may include any one or more of the following: sudden acceleration or deceleration, repeated movement within a specific area, leaving a predetermined area or entering a prohibited area. When an abnormal movement trajectory of the target object is detected, an alarm mechanism is triggered. An alarm signal is generated, which may include: alarm type, target object information, timestamp, abnormal behavior description, etc. The alarm type indicates abnormal behavior. Target object information includes the target object's identity, location, speed, etc. The timestamp records the specific time the alarm occurred. The abnormal behavior description briefly describes the characteristics of the abnormal behavior (e.g., "the target object repeatedly changes direction").

[0070] The recipient of the alarm signal is determined based on the identifier of the target device (such as device ID or IP address). The target device can be a computer in the monitoring center, a mobile device of security personnel, or other relevant equipment. Alarm signals can be sent in various ways, including: instant messaging, network requests, wireless signals, etc. Instant messaging is sent through applications or messaging platforms (such as SMS, email, instant messaging software). Network requests send alarm information to the target device's API interface via HTTP / HTTPS requests. Wireless signals are sent directly to nearby devices using wireless communication technologies (such as Wi-Fi, Bluetooth). By analyzing the target object's movement trajectory, an alarm signal can be generated and sent to the target device when abnormal movement is identified. This process not only improves the response speed to abnormal behavior but also provides timely information support for security personnel, helping to quickly take countermeasures and ensure the safety of critical infrastructure such as nuclear power plants.

[0071] In some embodiments, the method further includes: when the target object's movement trajectory is abnormal, retrieving video data matching the time information from multimedia data based on the time information of the light pulse signal; and sending the video data to the target device so that the target device can display the video data. For example, the light pulse signal contains time information, typically in the form of a clock signal. This time information can be a timestamp of the signal generation, indicating the behavior of the target object at a specific time. To find the corresponding video data from the multimedia data, the time information of the light pulse signal needs to be converted to standard Universal Time (UTC). For example, a clock signal is extracted from the light pulse signal. The clock signal is converted to a UTC format to ensure the accuracy and consistency of time. For example, local time is converted to UTC using time zone information. The multimedia data is queried based on the converted UTC to find video data matching the time information. When video data matching the time information is found, the matched video data is sent to the target device. This not only improves the response speed to abnormal behavior but also provides timely information support for security personnel, helping to quickly take countermeasures and ensure the safety of critical infrastructure such as nuclear power plants.

[0072] The following uses a nuclear power plant as an example to describe the method for determining the trajectory of the aforementioned target object. (Refer to...) Figure 6 The specific steps are as follows:

[0073] S1: Deploy a fiber optic network under the floor of the nuclear power plant. A light source is deployed at the starting point of the fiber optic network. An optical receiver is deployed at the ending point of the fiber optic network. Optical pulse signals are transmitted through the light source, propagated through the fiber optic network, and then received by the optical receiver.

[0074] S2: DAS data acquisition can obtain acoustic perturbation data by analyzing received light pulse signals. Brillouin scattering data acquisition can obtain temperature change data and strain data by analyzing received light pulse signals.

[0075] S3: Before calculating the optical pulse phase change based on acoustic perturbation data, the acoustic perturbation data can be preprocessed, for example, by filtering, enhancement, and noise suppression, to improve data quality and accuracy. Similarly, before calculating the optical pulse frequency change based on temperature and strain data, the temperature and strain data can be preprocessed, for example, by filtering, enhancement, and noise suppression, to improve data quality and accuracy. Then, the optical pulse phase change is calculated based on the preprocessed acoustic perturbation data, and the optical pulse frequency change is calculated based on the preprocessed temperature and strain data. Data fusion techniques are used to fuse the feature vectors corresponding to the optical pulse phase change and the optical pulse frequency change to obtain a target feature vector, which contains more accurate information about the moving target's position. The data fusion process utilizes algorithms such as Kalman filters or fusion methods in neural networks, such as concatenation and weighted averaging, to optimize the results.

[0076] S4: Based on historical light pulse signal analysis, historical feature vectors are obtained, and corresponding movement trajectories are labeled for each historical feature vector according to the actual situation. Machine learning and pattern recognition techniques are applied to train a model based on each historical feature vector and its corresponding movement trajectories, resulting in a movement trajectory recognition model. The target feature vector fused from S3 is input into this movement trajectory recognition model. The algorithm within this model determines the movement trajectory corresponding to the target feature vector based on the target feature vector and the historical feature vectors, thus determining the movement trajectory of the target object. The algorithm in this movement trajectory recognition model is shown below:

[0077]

[0078] Where y represents the category of the movement trajectory, such as normal movement trajectory, abnormal movement trajectory, etc. x represents the target feature vector. This represents the model parameters in the motion trajectory recognition model.

[0079] S5: Based on the formula above, the movement trajectory of the target object can be predicted, enabling real-time monitoring of personnel activities within the nuclear power plant and timely detection of any abnormal or unauthorized intrusions. In this example, a real-time data visualization interface can also be configured for operators to monitor the current status and receive alarms. Upon detecting abnormal behavior, pre-defined emergency response procedures, such as area locking and alarm activation, are automatically initiated. This allows for the retrieval of multimedia data from the nuclear power plant monitoring center based on the time information of the light pulse signal received by the optical receiver, obtaining video data matching the time information and displaying it on the visualization interface. This effectively addresses the shortcomings of traditional monitoring technologies in nuclear power plant applications, significantly improving the reliability and efficiency of safety monitoring.

[0080] Figure 7This is a block diagram of a device for determining the trajectory of a target object provided in an embodiment of the present invention.

[0081] like Figure 7 As shown, the target object trajectory determination device 700 includes an acquisition module 710, a first determination module 720, a second determination module 730, and a transmission module 740.

[0082] Specifically, the acquisition module 710 is used to acquire optical pulse signals from the optical fiber.

[0083] The first determining module 720 is used to determine the phase change and frequency change of the optical pulse generated by the target object in the optical fiber based on the optical pulse signal.

[0084] The second determining module 730 determines the trajectory of the target object based on the phase change and frequency change of the light pulse.

[0085] The sending module 740 sends an alarm signal to the target device based on the movement trajectory of the target object.

[0086] The target trajectory determination device 700 can acquire optical pulse signals through optical fiber, enabling high-precision monitoring of the target object. Analysis of optical pulse phase and frequency changes can accurately capture minute movements of the target object, improving the sensitivity of the monitoring system. Furthermore, fiber optic sensing technology has excellent anti-electromagnetic interference capabilities and can operate stably in high-radiation environments. This makes the invention particularly suitable for critical infrastructure such as nuclear power plants, overcoming the performance degradation problem of traditional video surveillance systems in high-radiation environments. The invention is not limited by lighting conditions and can achieve all-weather monitoring in various environments. This is especially important for the complex structure and confined spaces inside nuclear power plants, effectively eliminating blind spots in low-light conditions found in traditional monitoring methods. Based on the target object's movement trajectory, alarm signals can be quickly sent to the target equipment. This real-time response mechanism helps to promptly detect and handle potential security threats, improving the safety protection capabilities of nuclear power plants. Compared with traditional video surveillance systems, fiber optic sensors have relatively lower maintenance costs and higher stability. This will reduce the manpower and financial resources that nuclear power plants need to invest in the maintenance and upgrading of monitoring systems, thereby improving overall operational efficiency. It can effectively address the shortcomings of traditional monitoring technologies in nuclear power plant applications and significantly improve the reliability and efficiency of safety monitoring.

[0087] In some embodiments, the first determining module 720 is configured to analyze the optical pulse signal to obtain acoustic disturbance data, temperature change data, and strain data generated by the target object in the optical fiber; calculate the phase change of the optical pulse based on the acoustic disturbance data using a phase change formula; and calculate the frequency change of the optical pulse based on the temperature change data and strain data using a frequency change formula.

[0088] In some embodiments, the second determining module 730 is configured to vectorize the phase change and frequency change of the light pulse respectively to obtain the feature vector of the phase change and the feature vector of the frequency change of the light pulse; to fuse the feature vector of the phase change and the feature vector of the frequency change of the light pulse to obtain the target feature vector of the light pulse signal; and to match the movement trajectory of the target object based on the target feature vector.

[0089] In some embodiments, matching the action trajectory of a target object based on a target feature vector includes: determining the similarity between the target feature vector and each historical feature vector; determining a historical target feature vector that matches the target feature vector from multiple historical feature vectors based on the similarity between the target feature vector and each historical feature vector; and determining the action trajectory corresponding to the historical target feature vector as the action trajectory of the target object.

[0090] In some embodiments, the sending module 740 is configured to generate an alarm signal based on the abnormal movement trajectory when the movement trajectory of the target object is an abnormal movement trajectory; and to send the alarm signal to the target device according to the identifier of the target device.

[0091] In some embodiments, the target object trajectory determination device 700 is further configured to: when the target object's movement trajectory is an abnormal movement trajectory, obtain video data matching the time information from multimedia data based on the time information of the light pulse signal; and send the video data to the target device so that the target device can display the video data.

[0092] Figure 8 This is a schematic diagram of the electronic device 8 provided in an embodiment of the present invention. Figure 8 As shown, the electronic device 8 of this embodiment includes a processor 801, a memory 802, and a computer program 803 stored in the memory 802 and executable on the processor 801. When the processor 801 executes the computer program 803, it implements the steps in the various method embodiments described above. Alternatively, when the processor 801 executes the computer program 803, it implements the functions of each module in the various device embodiments described above.

[0093] Electronic device 8 can be a desktop computer, laptop, handheld computer, cloud server, or other electronic device. Electronic device 8 may include, but is not limited to, processor 801 and memory 802. Those skilled in the art will understand that... Figure 8 This is merely an example of electronic device 8 and does not constitute a limitation on electronic device 8. It may include more or fewer components than shown, or different components.

[0094] The processor 801 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0095] The memory 802 can be an internal storage unit of the electronic device 8, such as a hard disk or RAM of the electronic device 8. The memory 802 can also be an external storage device of the electronic device 8, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, etc., equipped on the electronic device 8. The memory 802 can also include both internal and external storage units of the electronic device 8. The memory 802 is used to store computer programs and other programs and data required by the electronic device.

[0096] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0097] The present invention provides a computer program product, which stores a computer program, and when the computer program is executed by a processor, it implements the steps in the above method embodiments.

[0098] If the integrated module is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program may include computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium may be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0099] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for determining the trajectory of a target object, characterized in that, include: Obtaining optical pulse signals from optical fibers; Based on the optical pulse signal, determine the phase change and frequency change of the optical pulse generated by the target object in the optical fiber; The trajectory of the target object is determined based on the phase change and frequency change of the light pulse; Based on the movement trajectory of the target object, an alarm signal is sent to the target device; Determining the trajectory of the target object based on the phase change and frequency change of the light pulse includes: The phase change and frequency change of the optical pulse are vectorized respectively to obtain the feature vector of the phase change and the feature vector of the frequency change of the optical pulse. The feature vectors of the optical pulse phase change and the optical pulse frequency change are fused to obtain the target feature vector of the optical pulse signal. Determine the similarity between the target feature vector and each historical feature vector; Based on the similarity between the target feature vector and each historical feature vector, a historical target feature vector matching the target feature vector is determined from multiple historical feature vectors; The action trajectory corresponding to the historical target feature vector is determined as the action trajectory of the target object.

2. The method according to claim 1, characterized in that, Determining the phase and frequency changes of the optical pulses caused by the target object in the optical fiber based on the optical pulse signal includes: The optical pulse signal is analyzed to obtain data on acoustic disturbance, temperature change, and strain caused by the target object in the optical fiber. The phase change of the optical pulse is calculated based on the acoustic wave disturbance data using the phase change formula; the phase change formula is: in, This represents the phase change of the optical pulse at position z in the fiber at time t, where L represents the total length of the fiber. Indicates the location of acoustic disturbance data in the optical fiber. The coefficient of the resulting optical phase change, This represents the acoustic perturbation data of the target object at position z in the optical fiber at time t; The frequency change of the light pulse is calculated using the temperature change data and the strain data according to the frequency change formula; the frequency change formula is: in, This indicates the change in the frequency of the light pulse. This represents the frequency of the scattered light when undisturbed. and These represent the temperature change data and the strain change data, respectively. and These represent the partial derivatives of velocity with respect to temperature and strain, respectively.

3. The method according to claim 1, characterized in that, The movement trajectory includes any one of the following: normal walking trajectory, high-speed walking trajectory, running trajectory, or abnormal movement trajectory.

4. The method according to claim 3, characterized in that, Sending an alarm signal to the target device based on the target object's movement trajectory includes: When the movement trajectory of the target object is the abnormal movement trajectory, an alarm signal is generated based on the abnormal movement trajectory; The alarm signal is sent to the target device based on the target device's identifier.

5. The method according to claim 3, characterized in that, The method further includes: When the movement trajectory of the target object is the abnormal movement trajectory, video data matching the time information is obtained from the multimedia data according to the time information of the light pulse signal; The video data is sent to the target device so that the target device can display the video data.

6. A device for determining the trajectory of a target object, characterized in that, include: The acquisition module is used to acquire optical pulse signals from the optical fiber; The first determining module is used to determine, based on the optical pulse signal, the phase change and frequency change of the optical pulse generated by the optical fiber due to the target object; The second determining module determines the movement trajectory of the target object based on the phase change and frequency change of the light pulse; The sending module sends an alarm signal to the target device based on the movement trajectory of the target object; The first determining module is further configured to: vectorize the optical pulse phase change and the optical pulse frequency change respectively to obtain the feature vector of the optical pulse phase change and the feature vector of the optical pulse frequency change; The feature vectors of the optical pulse phase change and the optical pulse frequency change are fused to obtain the target feature vector of the optical pulse signal. Determine the similarity between the target feature vector and each historical feature vector; Based on the similarity between the target feature vector and each historical feature vector, a historical target feature vector matching the target feature vector is determined from multiple historical feature vectors; The action trajectory corresponding to the historical target feature vector is determined as the action trajectory of the target object.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the method as claimed in any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 5.

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