A port intelligent security method and system

Abstract

The present invention relates to the field of smart security technology, specifically a port smart security method and system. The method includes the following steps: obtaining first dynamic monitoring information and port environmental information of a port monitoring object through a port smart security system; constructing a port information processing mechanism according to the port smart security requirements, and processing the first dynamic monitoring information according to the port information processing mechanism to obtain second dynamic monitoring information of the port monitoring object; establishing a port security information optimization model, optimizing the second dynamic monitoring information using the port security information optimization model, and obtaining target dynamic monitoring information of the port monitoring object; combining the target dynamic monitoring information and the port environmental information to obtain port smart security fusion information, and performing intelligent monitoring and safety management of the port based on the port smart security fusion information. The present invention uses monitoring information and port environmental information to obtain smart security fusion information, which is conducive to the realization of scientific management and smart security of ports.

Description

Technical Field

[0001] The present invention relates to the field of intelligent security technology, and in particular to a port intelligent security method and system. Background Art

[0002] As a key node connecting the inland and the ocean, ports have an increasing demand for operational efficiency, safety and intelligence as their business scale rapidly expands. In this context, the construction and optimization of smart security systems has become a key driving force for promoting the modernization and transformation of ports.

[0003] Traditional port security methods face severe challenges, mainly reflected in the lack of information accuracy, weak comprehensiveness and limited coverage. The above defects restrict the port's ability to intelligently identify and respond to potential risks immediately. In addition, the uniqueness and complexity of the port environment and the high-density operation scenes make it difficult for traditional port security methods to take effective security protection measures and implement decisions based on the actual situation of the port when responding to emergencies.

[0004] In order to improve the port's safety management level and danger warning capabilities, it is necessary to upgrade the port's smart security methods and systems. Through advanced Internet of Things and big data analysis technologies, we can build efficient, intelligent and comprehensive security methods to achieve precise, intelligent and dynamic port monitoring, thereby achieving real-time perception, intelligent analysis and rapid response to various security threats, effectively improving the port's security capabilities and operational efficiency, and laying a solid foundation for the sustainable and healthy development of port business. Summary of the invention

[0005] In view of the shortcomings of existing methods and the needs of practical applications, in order to improve the accuracy and comprehensiveness of port monitoring information and further improve the information coverage dimension, the present invention constructs relevant intelligent models and analysis mechanisms to intelligently identify port monitoring information, thereby obtaining comprehensive, accurate and intelligent port security identification information, and providing strong guarantees for the safe and efficient operation of the port. On the one hand, the present invention provides a port intelligent security method, which includes the following steps: obtaining the first dynamic monitoring information and port environmental information of the port monitoring object through the port intelligent security system; constructing a port information processing mechanism according to the port intelligent security requirements, and processing the first dynamic monitoring information according to the port information processing mechanism to obtain the second dynamic monitoring information of the port monitoring object; establishing a port security information optimization model, using the port security information optimization model to optimize the second dynamic monitoring information, and obtaining the target dynamic monitoring information of the port monitoring object; combining the target dynamic monitoring information and the port environmental information to obtain the port intelligent security fusion information, and intelligently monitoring and safely managing the port according to the port intelligent security fusion information. The port intelligent security system of the present invention integrates the dynamic monitoring information with the actual environment of the port, which helps to improve the safety, management efficiency and intelligence level of the port.

[0006] Optionally, the construction of a port information processing mechanism according to the port smart security requirements includes: establishing a dynamic information receiving end analysis model and a dynamic monitoring information processing model according to the port smart security requirements and system monitoring information; and constructing a port information processing mechanism in combination with the dynamic information receiving end analysis model and the dynamic monitoring information processing model. The dynamic information receiving end analysis model of the present invention can receive data from various monitoring points of the port in real time, including video surveillance, sensor readings, personnel activity information, etc., to ensure the timeliness of monitoring information, and quickly analyze and process the data to provide information support for subsequent port smart security processes.

[0007] Optionally, the dynamic information receiving end analysis model satisfies the following relationship:

[0008]

[0009] in, Indicates the actual signal strength at the receiving end. Indicates the ideal signal strength at the receiving end. represents a Gaussian distributed random variable with mean, represents the consumption coefficient in the signal transmission path, Indicates the distance between the signal receiving end and the signal transmitting end. Indicates the reference distance of signal transmission;

[0010] The dynamic monitoring information processing model satisfies the following relationship:

[0011]

[0012] in, Indicates the signal strength at the receiving end after processing. Indicates the number of times the information of the monitored object is collected. Indicates The actual signal strength at the secondary receiving end. The model of the present invention takes into account various factors and changes in the signal transmission process, making the port smart security method more adaptable and expansible, and providing strong support for the intelligent development of ports.

[0013] Optionally, the processing of the first dynamic monitoring information according to the port information processing mechanism to obtain the second dynamic monitoring information of the port monitoring object includes: processing the first dynamic monitoring information through the dynamic information receiving end analysis model and the dynamic monitoring information processing model to obtain the second dynamic monitoring information of the port monitoring object. The processing process of the present invention effectively reduces the attenuation and interference of the signal during the transmission process, improves the accuracy of the monitoring data, further reduces the error of the measurement result, and enhances the reliability of the monitoring data.

[0014] Optionally, the establishment of the port security information optimization model includes: introducing a causal convolution model; and establishing the port security information optimization model based on the causal convolution model. The causal convolution model of the present invention can accurately capture the temporal dependency of monitoring data and realize real-time and accurate analysis of the port security status.

[0015] Optionally, the port security information optimization model satisfies the following relationship:

[0016]

[0017] in, Represents the monitoring information output after causal convolution processing, represents the input information sequence of causal convolution, express The sequence of input information within a time period, represents the parameter matrix of causal convolution, represents the size of the causal convolution kernel, represents the causal convolutional filter function, Represents the expansion coefficient of causal convolution. After the causal convolution model is introduced in the present invention, the optimization model of the port security method can automatically learn and optimize, and continuously adjust its parameters and strategies according to real-time data, while having the advantages of flexible parameter adjustment, accurate feature extraction and intelligent development.

[0018] Optionally, the combining of the target dynamic monitoring information and the port environment information to obtain the port intelligent security fusion information includes: extracting port environment feature information based on the port environment information, and matching the information gain model. The present invention combines the target dynamic monitoring information and the port environment information to obtain the port intelligent security fusion information, which helps to improve the port's security prevention capabilities, optimize resource allocation, and rapid emergency response capabilities.

[0019] Optionally, the combining of the target dynamic monitoring information and the port environment information to obtain the port intelligent security fusion information includes: establishing a port monitoring information-environment fusion model by combining the target dynamic monitoring information, the port environment characteristic information and the information gain model; and obtaining the port intelligent security fusion information according to the port monitoring information-environment fusion model. The port monitoring information-environment fusion model of the present invention comprehensively considers the target dynamic monitoring information and the port environment characteristic information, making the security decision more targeted and improving the response speed and handling efficiency of the security system.

[0020] Optionally, the port monitoring information-environment fusion model satisfies the following relationship:

[0021]

[0022] in, Represents the integrated port monitoring information set, Indicates that the monitoring object is Output information within a time period, represents the error function value of the discrete time interval, express Port environment characteristic information within a time period, represents the channel gain matrix, express The predicted value of the input noise for information fusion within the time period.

[0023] The port monitoring information-environment fusion model of the present invention integrates multiple dimensional information such as the output information, error value, characteristic information and noise value of the monitoring object within a specific time period, so that the port intelligent security method and system can have a more comprehensive understanding of the port's operating conditions and safety risks, and provide more comprehensive and accurate information basis for port security decision-making.

[0024] In the second aspect, in order to efficiently execute the port smart security method provided by the present invention, the present invention also provides a port smart security system, including a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the port smart security method as described in the first aspect of the present invention. The port smart security system of the present invention has a compact structure and stable performance, and can stably execute the port smart security method provided by the present invention, thereby improving the overall applicability and practical application ability of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a flow chart of the intelligent port security method of the present invention;

[0026] Figure 2 It is a schematic diagram for comparing dynamic monitoring information before and after processing by the port information processing mechanism in the port intelligent security method of the present invention;

[0027] Figure 3 It is a schematic diagram of the port intelligent security fusion information in the port intelligent security method of the present invention;

[0028] Figure 4 This is a structural diagram of the port intelligent security system of the present invention. DETAILED DESCRIPTION

[0029] See also Figure 1 The present invention integrates dynamic monitoring information and actual port operation information, significantly improving the pertinence and comprehensiveness of port monitoring information. At the same time, it designs intelligent models and analysis mechanisms to achieve intelligent identification of port security risks. It not only enriches the information dimension, but also promotes the upgrading of port security identification methods, providing technical support for the safe operation, efficient operation and sustainable development of ports. The present invention provides a port smart security method, which includes the following steps:

[0030] S1. Obtain the first dynamic monitoring information and port environment information of the port monitoring object through the port intelligent security system. The specific implementation steps and contents are as follows;

[0031] In this embodiment, the port smart security system includes but is not limited to a video surveillance subsystem, a radar monitoring subsystem, an AIS automatic identification subsystem, infrared sensors, environmental monitoring equipment such as water level gauges, weather stations, GPS positioning equipment, RFID radio frequency identification systems, etc. The above subsystems and related equipment work together to achieve comprehensive monitoring of port information.

[0032] High-definition cameras are deployed in key areas, waterway nodes, bridges, storage yards, docks and other locations of the port to realize real-time monitoring of ships, personnel, vehicles, cargo, etc. Radar and AIS equipment are deployed to track the position, speed and heading of port ships in real time. At the same time, infrared sensors are installed around the port and at key locations to detect safety hazards such as abnormal intrusion and fire. Environmental monitoring equipment is further configured to monitor the port's water level, tide, weather and other environmental information.

[0033] The video surveillance subsystem collects video images through cameras and transmits them to the back-end processing center in real time; the radar and AIS subsystems collect data such as the ship's position, speed, and heading in real time; other sensors such as infrared sensors and environmental monitoring equipment collect their own data.

[0034] The collected data is mainly transmitted wirelessly to the system's data center or cloud platform. At the same time, the monitoring information is encrypted during the transmission process to ensure the security and integrity of the port's dynamic monitoring information.

[0035] In an optional embodiment, the first dynamic monitoring information of the port monitoring object is obtained through the port intelligent security system, which mainly adopts advanced sensor technology, video analysis technology, Internet of Things technology and big data analysis.

[0036] Based on the port smart security system, comprehensive coverage and real-time monitoring of different monitoring objects in the port are carried out. Through high-definition cameras, ships, personnel, vehicles, cargo and other monitoring objects are clearly monitored; radar and AIS equipment are used to track the monitoring objects in real time, such as monitoring the position, speed and heading of the ship; based on RFID access control system and face recognition equipment, the entry and exit of personnel are recorded; according to infrared sensors and vibration sensors, it is used to detect safety hazards such as abnormal intrusion and fire. Among them, the video monitoring subsystem collects video images in real time through the camera, and extracts key information for storage and analysis; the radar and AIS systems receive the signals sent by the ship in real time and parse the dynamic information of the ship; the RFID access control system and face recognition equipment record the entry and exit time and identity information of the personnel; infrared sensors and vibration sensors monitor abnormal events and trigger alarms. The real-time monitoring information, that is, the first dynamic monitoring information of the embodiment, is transmitted to the data center or cloud platform of the system by wireless means. The above-mentioned port smart security system can efficiently and accurately obtain the first dynamic monitoring information of the port monitoring object, and provide strong support for the safe production and operation management of the port.

[0037] In another optional embodiment, the port intelligent security system is used to obtain port environmental information, mainly using the port intelligent security system's map drawing equipment, meteorological stations, water quality monitoring stations, air quality monitoring stations, noise monitoring equipment, etc. to collect port environmental data in real time.

[0038] Map drawing equipment can be used to generate and update detailed maps of ports, including information such as waters, land, and facility layout, providing a basis for spatial analysis and visualization of environmental data; meteorological stations are distributed at different locations in the port to monitor meteorological parameters such as wind direction, wind speed, temperature, humidity, and air pressure; water quality monitoring stations are set at key locations in the water area to monitor water quality indicators such as pH value, dissolved oxygen, turbidity, and heavy metal content; air quality monitoring stations are installed in port operation areas and surrounding areas to monitor the concentration of air pollutants such as PM2.5, PM10, sulfur dioxide, and nitrogen oxides; noise monitoring equipment: deployed in noise-sensitive areas, such as residential areas and office areas, to monitor the noise level generated by port operations. Each monitoring device in the port smart security system automatically collects environmental data according to a preset sampling frequency, and performs preliminary processing through a built-in data processing module, and finally transmits the collected environmental data, i.e., the port environmental information of the embodiment, to the data center or cloud platform of the port smart security system in real time via wireless.

[0039] Furthermore, the method of obtaining port monitoring information and environmental information through the port intelligent security system in this embodiment is only an optional condition of the present invention. In other embodiments, the method of obtaining mining port information can be adjusted according to the port operation conditions and information monitoring requirements. The information monitoring requirements of different ports are different. By adjusting the monitoring methods and means, it can be ensured that the port intelligent security system meets the specific needs of different ports, provides accurate and comprehensive information support for the intelligent security method, and enhances the emergency response capabilities of the port.

[0040] S2. Construct a port information processing mechanism according to the port smart security requirements, and process the first dynamic monitoring information according to the port information processing mechanism to obtain the second dynamic monitoring information of the port monitoring object. The specific implementation steps and contents are as follows;

[0041] First, according to the port smart security needs and system monitoring information, a dynamic information receiving end analysis model and a dynamic monitoring information processing model are established; and a port information processing mechanism is constructed by combining the dynamic information receiving end analysis model and the dynamic monitoring information processing model. The specific implementation contents are as follows:

[0042] In order to comprehensively consider the port security needs, the characteristics of system monitoring information and the existing technical conditions, comprehensive, real-time and efficient monitoring and safety management of the port area can be achieved, further providing strong guarantees for the port's safe production and operation management.

[0043] Based on step S1, it can be known that the first dynamic monitoring information of the port monitoring object and the port environment information are transmitted to the data center or cloud platform of the port intelligent security system in real time by wireless means based on the system monitoring equipment. Since the wireless signal is attenuated in accordance with the laws of physics when propagating in free space, the most important factors are the increase in signal propagation distance and the interference of external factors. Under ideal conditions without external interference sources, there is a predictable and regular attenuation relationship between signal strength and propagation distance. However, in practical applications, wireless signals cannot be propagated in a completely free and interference-free environment. Obstacles in the port environment such as buildings, trees, vehicles, etc., electromagnetic interference from other wireless devices or electrical equipment, and atmospheric conditions such as rain, fog, snow, etc. will affect the propagation of the signal. The above factors will introduce additional attenuation, reflection, scattering, diffraction and multipath effects, causing the signal strength to change with the change of propagation distance.

[0044] Therefore, in order to more accurately describe the propagation characteristics of wireless signals in the port environment, it is necessary to select a dynamic signal analysis model suitable for the port environment. The model should take into account the influence of environmental factors. Based on this, we can better understand and predict the propagation characteristics of wireless signals in the port environment, thereby optimizing the wireless transmission function in the port smart security system.

[0045] The above dynamic information receiving end analysis model satisfies the following relationship:

[0046]

[0047] in, Indicates the actual signal strength at the receiving end. Indicates the ideal signal strength at the receiving end. represents a Gaussian distributed random variable with mean, represents the consumption coefficient in the signal transmission path, Indicates the distance between the signal receiving end and the signal transmitting end. Indicates the reference distance of signal transmission;

[0048] In wireless communication, the actual signal strength at the receiving end refers to the power or voltage level remaining after all attenuation and interference when the signal reaches the receiving device. It can be expressed in decibels and is specifically analyzed and measured relative to a reference point in the embodiment.

[0049] The ideal signal strength at the receiving end refers to the minimum signal strength value that the receiving device can receive and clearly and stably parse the transmitted information during wireless communication, and the above value should be able to meet certain communication quality and performance requirements. In practical applications, it needs to be adjusted and modified according to factors such as the output power of the port transmitter, the gain and directivity of the antenna, the port environment, the sensitivity of the status receiver, and the communication protocol and standard.

[0050] A Gaussian random variable with a mean refers to a random variable that obeys a Gaussian distribution with a specific mean and standard deviation. The Gaussian distribution is a continuous probability distribution whose probability density function satisfies the following relationship:

[0051]

[0052] in, represents the Gaussian distribution function, represents a random variable, represents the mean, i.e. the center of the distribution. represents the standard deviation, which is the square root of the variance. It represents the variance, which is the width or dispersion of the distribution. represents the natural exponential function.

[0053] When a random variable follows a Gaussian distribution with mean and standard deviation, it means that the probability distribution of the above random variable follows the Gaussian distribution probability density function mentioned above, where and is a specific parameter of this distribution. Based on this, random phenomena can be better described.

[0054] The consumption coefficient in the signal transmission path refers to a parameter in the field of wireless communications that describes the rate or degree of signal attenuation as the distance increases during the transmission process. In the embodiment, the path loss coefficient can be a parameter that describes the rate at which the signal strength attenuates with distance, so as to quantify the attenuation of the signal during the transmission process. The specific value of the signal consumption coefficient in the transmission path is related to the port environment path and consumption factor. For information on the consumption factor in the port environment, please refer to Table 1.

[0055] Table 1 Reference value table of port signal consumption factors

[0056] Consumption factor type Influencing factors Loss factor coefficient Electromagnetic Interference Radar, wireless intercom, wireless base station, mobile communication base station, TV broadcasting tower 15.02-30.00 Port equipment Equipment aging and equipment performance limitations 7.51-9.32 Port Weather Climate conditions 4.51-5.32 Propagation path and distance Propagation path and propagation distance 17.51-29.32 Port construction conditions Walls, floors, piles 11.51-25.32

[0057] The above dynamic information receiving end analysis model is used to analyze the actual signal strength of the receiving end. Furthermore, the actual signal strength of the same receiving end is measured multiple times. During the process, factors such as sampling frequency, sampling time, and port environment stability need to be considered to ensure that the collected data is representative and reliable. After the data collection is completed, preliminary preprocessing is required, such as removing outliers, to ensure the effectiveness of the port information processing mechanism.

[0058] In the embodiment, a dynamic monitoring information processing model suitable for ports is established based on the mean filter model. The dynamic monitoring information processing model reduces random errors, such as the influence of factors such as port environmental noise and equipment jitter, and improves the accuracy and reliability of dynamic monitoring information.

[0059] The above dynamic monitoring information processing model satisfies the following relationship:

[0060]

[0061] in, Indicates the signal strength at the receiving end after processing. Indicates the number of times the information of the monitored object is collected. Indicates The actual signal strength of the secondary receiving end.

[0062] The dynamic monitoring information processing model can effectively smooth out the random fluctuations in the information, making the dynamic monitoring information more stable, which is helpful for subsequent applications such as wireless positioning and signal quality assessment. In addition, the dynamic monitoring information processing model can also adjust the signal sampling times according to the actual needs of port monitoring to find the best balance between the smoothness and real-time performance of dynamic monitoring information. The dynamic monitoring information processed by the dynamic monitoring information processing model can more accurately reflect the true strength of the signal, providing data support for the implementation of smart port security methods.

[0063] In an optional embodiment, the first dynamic monitoring information is processed by the above-mentioned dynamic information receiving end analysis model and the dynamic monitoring information processing model to obtain the second dynamic monitoring information of the port monitoring object, and the specific implementation content is as follows:

[0064] The port information processing mechanism in the embodiment combines the dynamic information receiving end analysis model and the dynamic monitoring information processing model to form a complete port information processing process and management system.

[0065] First, the dynamic information receiving end analysis model is used to analyze the monitoring signals corresponding to different key monitoring objects in the port. The above steps are aimed at accurately capturing and quantifying the actual signal strength received by the receiving end at the current moment, providing a solid data foundation for subsequent processing.

[0066] Subsequently, the relevant signals of the monitored object are processed in combination with the dynamic monitoring information processing model and the actual signal strength data of the receiving end obtained in the previous step. The processing process fully considers the various interference and attenuation factors that the monitoring signal may encounter during the transmission process. Through algorithm optimization and compensation mechanism, it is beneficial to restore the true state of the signal or extract key information.

[0067] After the above-mentioned port information processing mechanism, the processed receiving end signal strength value is obtained. This result is the second dynamic monitoring information of the port monitoring object. Compared with the original signal, that is, the first dynamic monitoring information, the second dynamic monitoring information is more accurate and reliable, and can more truly reflect the real-time status of the monitored object, providing data support for port safety protection management.

[0068] In the embodiment, the dynamic monitoring information after the port information processing mechanism is processed, see Figure 2 .

[0069] based on Figure 2 It can be seen that before the port information processing mechanism was processed, the maximum value of the port monitoring signal strength data reached -50dBm, while the minimum value dropped to -61dBm, with a difference of 11dBm. This shows that there is a large fluctuation range in the port signal strength, and most of the signal strength values ​​are concentrated around -56dBm, reflecting the main distribution characteristics of the signal strength.

[0070] In order to reduce the impact of signal fluctuations on monitoring information, a port information processing mechanism is constructed in the embodiment to process it, which smoothes the fluctuations of port monitoring signals to a certain extent and further improves the stability of port dynamic monitoring information. Furthermore, based on the port security protection requirements, the processing method of any monitoring object signal set is further refined, and a time interval division strategy is introduced, the specific contents of which are as follows:

[0071] In order to more accurately capture and analyze the dynamic changes of the monitored objects, the monitoring time period t of any monitored object is first finely segmented into a series of continuous and non-overlapping time intervals, aiming to divide the monitoring data of a long time period into multiple shorter, easier to manage and analyze time segments, so that the changing characteristics of the signal strength in different time periods can be observed more carefully.

[0072] The results of time interval division can not only more accurately locate the time point of signal strength anomaly, but also deeply analyze the potential correlation between signal strength fluctuation and port operation status, environmental factors, etc. At the same time, it provides a more flexible and efficient framework for subsequent data processing, feature extraction and anomaly detection.

[0073] In addition, combined with the implementation requirements of the port's smart security methods, differentiated processing and analysis will be carried out on signal sets in different time intervals. During peak operation periods, real-time monitoring and anomaly detection of signal strength can be strengthened to ensure the safety and smoothness of port operations; during non-peak periods, the monitoring frequency can be appropriately reduced to save resources and costs.

[0074] Fine-grained segmentation and differentiated processing of monitoring time periods can not only more comprehensively grasp the dynamic changes of the monitored objects, but also more effectively meet the diverse needs of port security monitoring, and provide strong support for the effective implementation and efficient operation of port smart security methods.

[0075] Based on the port security monitoring requirements, the monitoring time period t of any monitoring object is divided into i time intervals, where i∈(1, 2, …, i-1, i), , where t represents the monitoring time period of any monitoring object in the port, i represents dividing the monitoring time period t into i time intervals, and then obtaining a set of monitoring signals of any object, that is, the second dynamic monitoring information of the port monitoring object in the embodiment, and the following relationship is satisfied:

[0076]

[0077]

[0078]

[0079] in, Represents a set of monitoring information of any object in the port. Indicates the signal strength of the receiving end after processing in the first time interval. Indicates the monitoring information in the first time interval. Indicates the signal strength of the receiving end after processing in the second time interval. Indicates the monitoring information in the first time interval. It represents the signal strength of the receiving end after processing in the i-1th time interval. represents the monitoring information in the i-1th time interval, represents the signal strength of the receiving end after processing in the i-th time interval, represents the monitoring information in the i-th time interval, Indicates the monitoring time period of any monitoring object in the port. Indicates that the monitoring time period t is divided into Time interval.

[0080] Furthermore, in the present embodiment, the method for analyzing the dynamic monitoring information of ports is only an optional condition of the present invention. In one or some other embodiments, the method for analyzing the dynamic monitoring information may be optimized according to the specific conditions of the port operation and the safety protection requirements. By continuously optimizing the method for analyzing the dynamic monitoring information, potential safety risks of ports may be more accurately identified and warned, thus providing strong technical support for the safety protection of ports.

[0081] S3. Establish a port security information optimization model, use the port security information optimization model to optimize the second dynamic monitoring information, and obtain the target dynamic monitoring information of the port monitoring object. The specific implementation steps and contents are as follows:

[0082] The causal convolution model is introduced in the embodiment, and a port security information optimization model is established based on the causal convolution model. The specific implementation content is as follows:

[0083] In order to further process the dynamic monitoring information and keep the length of the output information sequence consistent with that of the input information sequence, a causal convolution model is introduced in the embodiment to ensure that the edge information of the dynamic monitoring information sequence will not be lost during the convolution operation, and the length of the output sequence will not be shortened due to the convolution operation. This makes the port smart security method still have good flexibility when processing variable-length sequence information, while avoiding the problems of gradient vanishing or gradient explosion that may be encountered when processing long sequence information.

[0084] When introducing the causal convolution model to optimize port monitoring information, it only relies on monitoring information within a specific time period and will not use future information. In traditional convolutional neural networks, the convolution kernel covers multiple continuous positions of the input data, including positions before and after the current position. However, in this embodiment, the convolution kernel of the causal convolution model is limited to information within a specific time period, by ensuring that the width of the convolution kernel is less than or equal to the step size of its corresponding layer, and is implemented without border filling. Therefore, the output at time t only depends on time t, thereby strictly guaranteeing the causality of information within a specific time period and avoiding the leakage of port-related information. Based on this, the port intelligent security method can still maintain the equilength of output and input when processing sequence information of arbitrary length, and can ensure that the prediction process is only based on information within a specific time period, so that the port intelligent security method has a broader application prospect and advantages.

[0085] The above port security information optimization model satisfies the following relationship:

[0086]

[0087] in, Represents the monitoring information output after causal convolution processing, represents the input information sequence of causal convolution, express The sequence of input information within a time period, represents the parameter matrix of causal convolution, represents the size of the causal convolution kernel, represents the causal convolutional filter function, Represents the expansion coefficient of causal convolution.

[0088] The monitoring information output after causal convolution processing refers to the result obtained after causal convolution analysis in sequence modeling or time series analysis. The above results retain the causality of the input sequence information, that is, the output of each time step depends only on the input information of that time step, thereby avoiding information leakage from the future moment to the past moment. Due to the isometric mapping characteristics of causal convolution, the lengths of the input and output sequences can be kept consistent, so that the output port monitoring information remains consistent in the time series, which is convenient for subsequent analysis and processing.

[0089] Causal convolution utilizes the temporal order and correlation in the input monitoring information sequence, combined with the sliding window mechanism of the convolution kernel, to perform a convolution operation on each time step in the sequence, thereby extracting local features and global trends in the sequence.

[0090] The input information sequence within a time period refers to a series of port monitoring information arranged in chronological order within a specific time range t. The above time range can be set arbitrarily. In the embodiment, it is mainly set based on any monitoring object and port conditions in the port. It can be a time interval of one day, one hour, thirty minutes or shorter, depending on the actual application scenario of the port and the frequency of data collection.

[0091] According to the content of step S2, in the embodiment, the monitoring time of any monitoring object in the port is set based on the port safety monitoring requirements, that is, The time period is divided into multiple time intervals. ,in .

[0092] Furthermore, in this embodiment, The sequence of input information within a time period satisfies the following relationship:

[0093]

[0094] in, express The sequence of input information within a time period, express The information sequence within a time interval, Represents the inside of the convolution kernel The input vector corresponding to the time interval.

[0095]

[0096] in, express The information sequence within a time interval, represents the information sequence processing function, represents the signal strength of the receiving end after processing in the i-th time interval, Represents the monitoring information in the i-th time interval.

[0097] The input vector corresponding to any time interval inside the convolution kernel refers to the data vector in the input data area covered when the convolution kernel performs convolution operation at the current position. The vector will change dynamically with time or sequence position, which depends on the sliding position of the convolution kernel on the input data. When the convolution kernel slides to a specific position, the input data area covered by it constitutes the corresponding input vector, which contains all the input data required for the convolution kernel to perform convolution operation at this position.

[0098] Based on the port security information optimization model, the second dynamic monitoring information is optimized and the target dynamic monitoring information of the port monitoring object is obtained. In an optional embodiment, the second dynamic monitoring information is used as input data and input into the trained optimization model. The model optimizes the second dynamic monitoring information according to the input data and the learned rules and patterns, and then the model outputs the optimized target dynamic monitoring information. The above information can more accurately reflect the current status and trend of the port monitoring object. The optimized target dynamic monitoring information is used in the real-time monitoring system of the port, which helps to achieve continuous monitoring of the port monitoring object, thereby improving the efficiency and accuracy of port security.

[0099] Furthermore, in the present embodiment, the method for optimizing the dynamic monitoring information is only an optional condition of the present embodiment. In one or some other embodiments, the method for optimizing the dynamic monitoring information may be adjusted according to the actual needs of port security and the actual operation of the port. Different ports differ in terms of security needs, monitoring objects, environmental conditions, etc. Adjusting the method for optimizing the dynamic monitoring information can ensure that the security system can closely meet the specific needs of each port, thereby improving the overall efficiency of the port's intelligent security system.

[0100] S4. Combine the target dynamic monitoring information and port environment information to obtain the port smart security fusion information, and conduct intelligent monitoring and safety management of the port based on the above port smart security fusion information. The specific implementation steps and contents are as follows:

[0101] Firstly, the port environment characteristic information is extracted based on the port environment information and matched with the information gain model. The specific implementation contents are as follows:

[0102] The latest and high-precision map information of the port is obtained based on the port environmental information. The above information mainly comes from various channels such as geographic information system (GIS), drone aerial photography, satellite remote sensing, etc. Then, according to the actual needs of port operations and security priorities, the key locations in the port are determined. The above locations include but are not limited to docks, berths, warehouses, yards, passages, monitoring blind spots, etc. Feature points are extracted based on the port map information. GIS and other technical means can be used to extract the specific coordinates, shape, size, surrounding environment and other map feature information of these key locations from the map data.

[0103] In addition, based on the key locations in the port, various data related to port operations are collected, including but not limited to ship entry and exit records, cargo loading and unloading conditions, personnel flow information, equipment operating status, etc. The system performs pre-processing operations such as cleaning, denoising, and format unification on the collected operational data to ensure data quality and consistency, and combines the pre-processed port key data with the map feature point information. In an optional embodiment, the real-time location information of the ship can be matched with the berth information on the port map to understand the ship's docking situation; the cargo loading and unloading conditions are associated with the map feature points of warehouses and yards to grasp the dynamic changes of cargo. By extracting port environmental feature information through key location points in the port, security resources can be deployed to the port in a more targeted manner to improve security efficiency.

[0104] Based on step S2, it can be seen that in the embodiment, based on the port safety monitoring requirements, the monitoring time period of the monitoring object is divided into multiple time intervals so that: ,in ,in is the subscript of different time intervals. Similarly, the characteristic points (landmarks) at key locations in the port can be represented by J, and , it can be seen that j represents the feature point number of the key position in the port, and the feature point numbers of different key positions are expressed as follows: .

[0105] Furthermore, according to the key locations in the port and various data related to port operations, the information gain model is matched, and its specific implementation content is as follows:

[0106] Based on the port business needs and operational data characteristics, features that have a significant impact on port operational efficiency, smart management, and safety warning are selected as input variables of the model. Information gain is a criterion for feature selection in the decision tree algorithm, which measures the reduction in information entropy of a feature before and after the data set is divided. The greater the information gain, the greater the contribution of the feature to port smart security.

[0107] Then, a port monitoring information-environment fusion model is established by combining the target dynamic monitoring information, port environmental characteristic information and information gain model; and the port smart security fusion information is obtained based on the above port monitoring information-environment fusion model. The specific implementation content is as follows:

[0108] The above port monitoring information-environment fusion model satisfies the following relationship:

[0109]

[0110] in, Represents the integrated port monitoring information set, Indicates that the monitoring object is Output information within a time period, represents the error function value of the discrete time interval, express Port environment characteristic information within a time period, represents the channel gain matrix, express The predicted value of the input noise for information fusion within the time period.

[0111] The integrated port monitoring information set refers to a comprehensive and comprehensive data set formed by integrating, consolidating and processing port-related information from different sources through a variety of monitoring means and technologies. This information set includes monitoring data on port operations, safety, environment, transportation and other aspects, aiming to improve the efficiency and accuracy of port safety management and hazard warning.

[0112] The error function value of the discrete time interval refers to a signal that has a certain value only in the above series of discrete time intervals, and is meaningless at other time points. It mainly depends on the specific application scenario and port security protection requirements. In practical applications, according to the characteristics and error measurement of each discrete time interval in the monitoring time period, a suitable method can be selected to approximate or simulate the behavior of the continuous error function in the discrete time interval.

[0113] In this embodiment, the environmental characteristic information of the port map within the time period t satisfies the following relationship:

[0114]

[0115]

[0116] express Port environment characteristic information within a time period, Indicates the port environment characteristic information in the first time interval, Indicates the port environment characteristic information in the second time interval, represents the port environment characteristic information in the j-1th time interval, represents the port environment characteristic information in the jth time interval, A collection of feature numbers representing key locations within the port, They respectively represent the feature point numbers of key locations in the port.

[0117] The channel gain matrix can be used to describe the gain of the signal in the channel. The channel gain matrix reflects the gain characteristics of the transmission between each transmission information and the reception information. The size of the channel gain matrix is ​​related to the number of transmission paths in the channel, and its size mainly depends on the number of transmission channels and reception channels. In the port smart security system, the channel gain matrix is ​​usually represented by a pxk matrix, where p represents the number of reception channels and k represents the number of transmission channels.

[0118] In the embodiment, the attenuation and distortion of the signal during transmission in the channel can be more extensively described by fusing the channel gain matrix. The above fused channel gain matrix satisfies the following relationship:

[0119]

[0120] in, represents the fusion channel gain matrix, express The fused channel gain matrix, express The fused channel gain matrix, express The fused channel gain matrix, express The fused channel gain matrix, express The fused channel gain matrix, express Fusion channel gain matrix.

[0121] Among them Clusters, The information channels are combined to obtain the fused channel gain matrix. For each cluster, the gain characteristics of its internal signal transmission path are analyzed and quantified, including but not limited to considerations of factors such as path loss, multipath effect, and shadow fading; then, the correlation between each information channel and the cluster is examined, mainly including determining the contribution strength and direction of different clusters to different channels. The fused channel gain matrix constructed based on the above analysis, in which each row represents a receiving information channel, each column represents a transmitting information channel, and the elements in the matrix reflect the gain contribution of the corresponding cluster to the corresponding channel. Furthermore, the value of the element can be a gain coefficient obtained by direct measurement, or it can be an estimated value calculated by an algorithm such as least squares estimation, maximum likelihood estimation, etc. The fused channel gain matrix in the embodiment can not only comprehensively describe the system channel characteristics, but also provide basic data support for subsequent channel estimation, signal detection, interference suppression, etc.

[0122] The input noise prediction value of information fusion within the time period t refers to a quantitative evaluation of the input noise encountered in the information fusion process within a specific time. In the embodiment, it can be obtained based on a comprehensive analysis of various factors such as historical data, system models, and environmental factors, which helps the port smart security system to take corresponding measures to reduce or eliminate its adverse effects. By predicting and quantifying the noise level and its characteristics, the port smart security system can process the input signal more accurately, reduce the possibility of misjudgment and missed detection, and thus improve the overall information fusion effect and accuracy.

[0123] In an optional embodiment, a schematic diagram of the port smart security fusion information is drawn based on the actual operation status and real-time monitoring information of key locations in the port. For details, please refer to Figure 3 , where a represents any monitoring object in the port, Indicates the port environment characteristic information in the first time interval, Indicates the port environment characteristic information in the second time interval, Indicates the port environment characteristic information in the third time interval, represents the port environment characteristic information in the j-1th time interval, represents the port environment characteristic information in the jth time interval, Represents the input information sequence of the port monitoring object in the first time interval, represents the input information sequence of the port monitoring object in the second time interval, It represents the input information sequence of the port monitoring object in the third time interval. represents the input information sequence of the port monitoring object in the i-1th time interval, represents the input information sequence of the port monitoring object in the i-th time interval, represents the fused channel gain matrix.

[0124] In an optional embodiment, the port is intelligently monitored and securely managed based on the above-mentioned port smart security fusion information.

[0125] The port smart security system is based on the port smart security fusion information to comprehensively monitor any ship in the port. The system can capture and display the ship's precise position, navigation speed, heading angle, hull posture and other key parameters in real time. The system's dynamic monitoring capability not only helps the port management department to grasp the navigation status of the ship in a timely manner, but also effectively warns and prevents any potential navigation conflicts or illegal operations, such as speeding, unauthorized entry into restricted areas, etc., thereby ensuring the safety and smooth flow of port channels.

[0126] Ships are an important part of transportation, and the port smart security system further extends to the safety management of cargo on board. Based on the integrated information of port smart security, the whole process of cargo from warehousing, storage, handling to loading and unloading on board, and then to final unloading is monitored. The above cargo tracking mechanism not only ensures the physical safety of the cargo, prevents loss or illegal exchange, but also improves the transparency and efficiency of port cargo management. At the same time, the system can combine data analysis technology to predict and optimize the storage location and handling path of the cargo, further reducing logistics costs and improving customer satisfaction.

[0127] Based on real-time monitoring data of ship dynamics and cargo safety, the port smart security system has built-in advanced intelligent early warning algorithms. Once any abnormal behavior is detected, such as ship deviation from the scheduled route, cargo loss warning, cargo damage signs, etc., the system will immediately trigger the early warning mechanism and send alarm information to port management personnel and related parties. In addition, the system can also automatically or semi-automatically initiate corresponding emergency measures according to the preset emergency response process, such as adjusting monitoring resource allocation, notifying rescue teams, blocking dangerous areas, etc., to respond to and handle emergencies as quickly as possible and minimize losses and impacts.

[0128] The port smart security system integrates a variety of advanced technologies and intelligent algorithms to achieve comprehensive, real-time, and accurate monitoring and management of any ship in the port and its cargo. The port smart security system not only improves the port's safety management level and operational efficiency, but also lays a solid technical foundation for the sustainable development of the port industry.

[0129] In the embodiment, the target monitoring information of any monitored object in the port and the port environmental characteristic information are combined to conduct a comprehensive assessment of the potential risks in port operations, provide early warnings, and reduce the probability of accidents. Once an accident or emergency occurs, the port smart security system can automatically trigger the emergency plan, coordinate resources from all parties, respond quickly, effectively control the development of the situation, and reduce losses, thereby improving the port smart security method and the intelligence level and safety management efficiency of the corresponding system.

[0130] See also Figure 4 In an optional embodiment, in order to efficiently execute the port intelligent security method provided by the present invention, the present invention also provides a port intelligent security system, in which the input device, processor, output device and memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the specific steps of the relevant embodiments of the port intelligent security method provided by the present invention. The port intelligent security system of the present invention has a complete structure, objective and stable, and can efficiently execute the port intelligent security method of the present invention, thereby improving the overall applicability and practical application ability of the present invention.

[0131] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A port intelligent security method, characterized in that: The steps include: Obtain the first dynamic monitoring information and port environment information of the port monitoring objects through the port intelligent security system; Constructing a port information processing mechanism according to the port smart security requirements, and processing the first dynamic monitoring information according to the port information processing mechanism to obtain second dynamic monitoring information of the port monitoring object; Establishing a port security information optimization model, optimizing the second dynamic monitoring information using the port security information optimization model, and obtaining target dynamic monitoring information of the port monitoring object; Combining the target dynamic monitoring information with the port environment information to obtain port smart security fusion information, and performing intelligent monitoring and safety management of the port based on the port smart security fusion information; The port information processing mechanism constructed according to the port smart security requirements includes: Establish dynamic information receiving end analysis model and dynamic monitoring information processing model according to the port smart security requirements and system monitoring information; Combining the dynamic information receiving end analysis model with the dynamic monitoring information processing model to construct a port information processing mechanism; The dynamic information receiving end analysis model satisfies the following relationship: ， in, Indicates the actual signal strength at the receiving end. Indicates the ideal signal strength at the receiving end. represents a Gaussian distributed random variable with mean, represents the consumption coefficient in the signal transmission path, Indicates the distance between the signal receiving end and the signal transmitting end. Indicates the reference distance of signal transmission; The dynamic monitoring information processing model satisfies the following relationship: ， in, Indicates the signal strength at the receiving end after processing. Indicates the number of times the information of the monitored object is collected. Indicates The actual signal strength of the secondary receiving end; The establishment of the port security information optimization model includes: Introducing the causal convolutional model; Establishing a port security information optimization model based on the causal convolution model; The port security information optimization model satisfies the following relationship: ， in, Represents the monitoring information output after causal convolution processing, represents the input information sequence of causal convolution, express The sequence of input information within a time period, represents the parameter matrix of causal convolution, represents the size of the causal convolution kernel, represents the causal convolutional filter function, represents the expansion coefficient of causal convolution; Based on the port safety monitoring requirements, the port monitoring time period is divided into multiple time intervals, and the time intervals satisfy the following relationship: ， in, represents the monitoring time period of any monitoring object in the port, i means dividing the monitoring time period t into i time intervals; Based on the input information sequence within the time interval monitoring period, the following relationship is satisfied: ， in, express The sequence of input information within a time period, express The information sequence within a time interval, Represents the interior of the convolution kernel The input vector corresponding to the time interval; The information sequence within the time interval satisfies the following relationship: ， in, express The information sequence within a time interval, represents the information sequence processing function, represents the signal strength of the receiving end after processing in the i-th time interval, Represents the monitoring information in the i-th time interval; The obtaining of port intelligent security fusion information by combining the target dynamic monitoring information and the port environment information includes: Extracting port environment characteristic information according to the port environment information and matching the information gain model; The obtaining of port intelligent security fusion information by combining the target dynamic monitoring information and the port environment information includes: Establishing a port monitoring information-environment fusion model by combining the target dynamic monitoring information, the port environment characteristic information and the information gain model; Obtaining port intelligent security fusion information based on the port monitoring information-environment fusion model; The port monitoring information-environment fusion model satisfies the following relationship: ， in, Represents the integrated port monitoring information set, Indicates that the monitoring object is Output information within a time period, represents the error function value of the discrete time interval, express Port environment characteristic information within a time period, represents the channel gain matrix, express The predicted value of the input noise for information fusion within the time period.

2. The port intelligent security method according to claim 1, characterized in that: The processing of the first dynamic monitoring information according to the port information processing mechanism to obtain the second dynamic monitoring information of the port monitoring object comprises: The first dynamic monitoring information is processed by the dynamic information receiving end analysis model and the dynamic monitoring information processing model to obtain second dynamic monitoring information of the port monitoring object.

3. A port intelligent security system, characterized in that: The system includes a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the port smart security method as described in any one of claims 1-2.

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