Real-time transmission method and system for bidirectional alarm information of coastal smart ship port

Abstract

The invention relates to the technical field of ship communication, and discloses a real-time transmission method and system for bidirectional alarm information of a coastal smart ship port, and the method comprises the steps: setting a satellite communication device and a 4G / 5G communication device, monitoring the signal quality of the satellite communication device and the 4G / 5G communication device, and transmitting the signal quality of the satellite communication device and the 4G / 5G communication device; an optimal communication channel is automatically selected for data transmission through an automatic switching technology; a sensor and alarm equipment are arranged to collect alarm information in real time, the alarm information is coded into a format suitable for network transmission and integrated, and the alarm information is sent to a cloud end and a receiving end through a current optimal communication channel to be processed; and carrying out deep mining and analysis on the integrated alarm information through an artificial intelligence technology. According to the method, the real-time transmission system of the bidirectional alarm information of the coastal smart ship port is realized, the real-time transmission of the bidirectional alarm information of the ship and the port is realized through network automatic switching, and the operation efficiency of the port is improved, the resource configuration is optimized and the security is enhanced through the application of big data and artificial intelligence technologies.

Description

Technical Field

[0001] The present invention relates to the field of ship communication technology, and in particular to a method and system for real-time transmission of two-way alarm information of a coastal smart ship port. Background Art

[0002] The Coastal Smart Port Network refers to the intelligent transformation and upgrading of ports and fishing ports in coastal areas using modern information technology, such as cloud computing, big data, the Internet of Things, mobile Internet, and intelligent control, to form an efficient, intelligent, and safe ship management and service network. By introducing advanced information technology and intelligent equipment, real-time monitoring, tracking, and management of ships, cargo, personnel, and other elements can be achieved; through the application of automated equipment and systems, manual intervention can be reduced and operational efficiency and accuracy can be improved; by optimizing resource allocation and operational processes, the overall operational efficiency of ports and fishing ports can be improved; and by introducing intelligent monitoring and early warning systems, potential safety hazards can be discovered and handled in a timely manner to ensure the safe operation of ports and fishing ports.

[0003] In order for ships to receive support and assistance quickly in case of emergency, it is necessary to monitor the safety of ship navigation and predict the safety status and potential risks of ships. In the existing technology, it is generally necessary to wait until an accident occurs before handling it according to the handling plan, which is a great test of the operation management level, the training level of personnel and whether the accident is discovered in time. There are great problems in efficiency and accuracy. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the above-mentioned prior art and to provide a method and system for real-time transmission of two-way alarm information of coastal smart ship ports, so as to realize real-time transmission of two-way alarm information between ships and smart port networks, and improve the operating efficiency and management level of ports.

[0005] The purpose of the present invention is achieved through the following technical solutions: On the one hand, a method for real-time transmission of two-way warning information of a coastal smart ship port is provided, comprising: S1: Setting up satellite communication equipment and 4G / 5G communication equipment, monitoring the signal quality of the satellite communication equipment and the 4G / 5G communication equipment, and automatically selecting the optimal communication channel for data transmission through automatic switching technology; S2: Set up sensors and alarm devices to collect alarm information in real time, encode the alarm information into a format suitable for network transmission and integrate it, and send it to the cloud and the receiving end for processing through the current optimal communication channel; S3: Use artificial intelligence technology to conduct in-depth mining and analysis of the integrated alarm information.

[0006] Further, in step S1, monitoring the signal quality of the satellite communication device and the 4G / 5G communication device, and automatically selecting the optimal communication channel for data transmission through the automatic switching technology further includes: The signal quality includes signal strength, network speed, signal-to-noise ratio and bit error rate. Communication channels with high signal strength and low bit error rate are given priority, and a switching threshold is set. When the signal quality of a communication channel is lower than the threshold, the switching operation of the communication channel is automatically triggered to ensure that the 4G / 5G network is used first when the 4G / 5G network coverage is good, and switch to satellite communication when the 4G / 5G network is unavailable or the signal is poor.

[0007] Preferably, in step S2, the sensors and alarm devices include fire alarms and intrusion detection systems, wherein: The fire alarm includes a smoke detector, a heat detector and a flame detector, which cooperate with each other to trigger an alarm signal at the early stage of a fire; The intrusion detection system includes infrared detectors, microwave detectors and video monitoring systems. It monitors the site by detecting objects entering the monitoring area and the movement of objects as well as video image information, and automatically triggers an alarm signal when an abnormality is identified.

[0008] Furthermore, in step S2, setting sensors and alarm devices to collect alarm information in real time further includes: Deploy the aforementioned sensors and alarm equipment in key areas of ships and ports through the Internet of Things technology to monitor cargo information, equipment status, environmental parameters, network data and security status information; At the same time, video acquisition equipment is installed to collect video signals, and the collected video signals are encoded and converted into a format suitable for network transmission.

[0009] Furthermore, in step S2, encoding the alarm information into a format suitable for network transmission and integrating it further includes: The alarm signal is encoded into JSON and XML formats for transmission, and the alarm information data is integrated through big data technology to form a unified data warehouse or data lake, providing a basis for subsequent data analysis.

[0010] Furthermore, the transmission process of step S2 further includes: Encryption technology and identity authentication are used to ensure the security of alarm information transmission. At the same time, the encoded video data and other data to be uploaded are packaged and processed, and compression technology and optimization algorithms are used to reduce data volume and transmission time; A real-time monitoring interface and playback function are set up in the control center to check the video data uploaded by the video acquisition device at any time and take corresponding management measures.

[0011] Preferably, in step S2, sending to the cloud and the receiving end for processing through the currently optimal communication channel further includes: A receiving terminal is set in the control center to receive and process the alarm information in real time, and the processing capabilities include decoding, display, storage and analysis; If the alarm information is received, the corresponding response mechanism is immediately activated to further analyze and process the alarm information, determine the severity of the accident and take corresponding response measures.

[0012] Furthermore, in step S3, the integrated alarm information is deeply mined and analyzed by artificial intelligence technology, further comprising: A risk prediction model is constructed based on historical alarm data and integrated alarm information, and the risk prediction model is trained to perform risk prediction and decision support for the port operation process. Combined with an automated control system, automatic response and processing of alarm information can be achieved.

[0013] Preferably, the risk prediction model is used to analyze the flow of goods and the operating data of the equipment, optimize the logistics path and storage layout, and predict the maintenance needs of the equipment, specifically including: The cargo flow situation includes port entry and exit records, transportation time and storage location. The analysis indicators include cargo flow, flow rate and turnover rate. The risk prediction model is used to analyze the flow pattern of cargo in the port operation process, find out the congestion points and inefficient links in the logistics path, re-plan the cargo transportation route according to the analysis results, and reasonably divide the warehouse area; The operating data of the equipment, including temperature, pressure, vibration and energy consumption, is collected in real time through sensors and monitoring equipment. The risk prediction model learns from historical data to predict the failure probability and energy consumption data of the equipment and formulate a preventive maintenance plan.

[0014] On the other hand, a real-time transmission system of two-way warning information of a coastal smart ship port is provided, including: A communication construction module is used to set up satellite communication equipment and 4G / 5G communication equipment, monitor the signal quality of the satellite communication equipment and 4G / 5G communication equipment, and automatically select the optimal communication channel for data transmission through automatic switching technology; The alarm transmission module is used to set sensors and alarm devices to collect alarm information in real time, encode the alarm information into a format suitable for network transmission and integrate it, and send it to the cloud and the receiving end for processing through the current optimal communication channel; The analysis and decision-making module is used to conduct in-depth mining and analysis of the integrated alarm information through artificial intelligence technology.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention automatically selects the optimal communication channel for data transmission according to preset conditions by setting satellite communication technology and modern communication technologies such as 4G / 5G, while achieving the characteristics of wide coverage, high bandwidth and low latency, thereby improving reliability and practicality; The present invention utilizes the advantages of the Internet of Things to set up a sensor network to monitor and collect environmental data and security status information in real time. This real-time monitoring capability provides a basis for the rapid generation and transmission of alarm information; The present invention combines artificial intelligence and big data technologies to intelligently process and analyze collected data, automatically identify potential safety hazards and abnormal situations, and provide a scientific basis for decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 This is a flow chart of a method for real-time transmission of two-way warning information of a coastal smart ship port according to the present invention; Figure 2 This is a schematic diagram of a three-dimensional network communication distribution of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0018] Those skilled in the art will appreciate that, unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0019] The present invention utilizes the coastal smart port network and automatically switches through satellite + 4G / 5G networks to achieve real-time transmission of two-way alarm information between ships and ports, and realizes rapid uploading of local videos and data under 4G / 5G network coverage.

[0020] The specific implementation of the present invention is described below with reference to the accompanying drawings and embodiments.

[0021] like Figure 1 As shown, this embodiment provides a method for real-time transmission of bidirectional warning information of a coastal smart ship port, including: S1: Setting up satellite communication equipment and 4G / 5G communication equipment, monitoring the signal quality of the satellite communication equipment and the 4G / 5G communication equipment, and automatically selecting the optimal communication channel for data transmission through automatic switching technology; S2: Set up sensors and alarm devices to collect alarm information in real time, encode the alarm information into a format suitable for network transmission and integrate it, and send it to the cloud and the receiving end for processing through the current optimal communication channel; S3: Use artificial intelligence technology to conduct in-depth mining and analysis of the integrated alarm information.

[0022] Wherein, in step S1, monitoring the signal quality of the satellite communication device and the 4G / 5G communication device, and automatically selecting the optimal communication channel for data transmission through the automatic switching technology further includes: The signal quality includes signal strength, network speed, signal-to-noise ratio and bit error rate. Communication channels with high signal strength and low bit error rate are given priority, and a switching threshold is set. When the signal quality of a communication channel is lower than the threshold, the switching operation of the communication channel is automatically triggered to ensure that the 4G / 5G network is used first when the 4G / 5G network coverage is good, and switch to satellite communication when the 4G / 5G network is unavailable or the signal is poor.

[0023] Specifically, Figure 2 As shown, in this embodiment, satellite communication equipment is installed on the ship as the main or backup communication means. Satellite communication has the advantages of wide coverage and is not restricted by ground networks, and can provide stable communication services in remote areas such as the ocean. 4G / 5G communication equipment, especially 5G equipment, is installed at key locations on ships and ports to utilize its high bandwidth and low latency characteristics to achieve rapid upload of local video and data.

[0024] Develop or adopt existing automatic switching technology to monitor the signal quality of satellite communication modules and 4G / 5G communication modules, including parameters such as signal strength and network speed. According to the preset conditions, the optimal communication channel is automatically selected for data transmission. This system can ensure that these networks are used first when the 4G / 5G network coverage is good, and switch to satellite communication when the network is unavailable or the signal is poor. This technology ensures seamless connection and stable communication in different network environments.

[0025] In step S2, the sensors and alarm equipment include fire alarms and intrusion detection systems, wherein: The fire alarm includes a smoke detector, a heat detector and a flame detector, which cooperate with each other to trigger an alarm signal at the early stage of a fire; The intrusion detection system includes infrared detectors, microwave detectors and video monitoring systems. It monitors the site by detecting objects entering the monitoring area and the movement of objects as well as video image information, and automatically triggers an alarm signal when an abnormality is identified.

[0026] This real-time monitoring capability provides the basis for the rapid generation and transmission of warning information.

[0027] Setting up sensors and alarm devices for real-time collection of alarm information further includes: Deploy the aforementioned sensors and alarm equipment in key areas of ships and ports through the Internet of Things technology to monitor cargo information, equipment status, environmental parameters, network data and security status information; At the same time, video acquisition equipment is installed to collect video signals, and the collected video signals are encoded and converted into a format suitable for network transmission.

[0028] The step of encoding the alarm information into a format suitable for network transmission and integrating the information further includes: The alarm signal is encoded into JSON and XML formats for transmission, and the alarm information data is integrated through big data technology to form a unified data warehouse or data lake, providing a basis for subsequent data analysis.

[0029] Encryption technology and identity authentication are used to ensure the security of alarm information transmission. At the same time, the encoded video data and other data that need to be uploaded are packaged and uploaded to the cloud or designated data center through the 4G / 5G network. Compression technology and optimization algorithms are used to reduce data volume and transmission time; A real-time monitoring interface and playback function are set up in the control center to view the video data uploaded by the video acquisition device at any time, which helps managers to understand the real-time situation of ports and ships in a timely manner and take corresponding management measures.

[0030] Specifically, in this embodiment, the security encryption technology can encrypt the alarm information during the transmission process to ensure that the information is not illegally intercepted or tampered with during the transmission process. This encryption protection mechanism improves the security of data transmission.

[0031] At the same time, by establishing a strict identity authentication and access control mechanism, only authorized personnel can access and process alarm information. This security measure ensures the confidentiality and integrity of information.

[0032] In step S2, sending to the cloud and the receiving end for processing through the currently optimal communication channel further includes: A receiving terminal is set in the control center to receive and process the alarm information in real time, and the processing capabilities include decoding, display, storage and analysis; If the alarm information is received, the corresponding response mechanism is immediately activated to further analyze and process the alarm information, determine the severity of the accident and take corresponding response measures, such as activating the emergency plan, notifying relevant personnel, etc.

[0033] In step S3, deep mining and analysis of the integrated alarm information by artificial intelligence technology further includes: A risk prediction model is constructed based on historical alarm data and integrated alarm information, and the risk prediction model is trained to perform risk prediction and decision support for the port operation process. Combined with an automated control system, automatic response and processing of alarm information can be achieved.

[0034] The risk prediction model is used to analyze the flow of goods and the operating data of equipment, optimize the logistics path and storage layout, and predict the maintenance needs of equipment, including: The cargo flow situation includes port entry and exit records, transportation time and storage location. The analysis indicators include cargo flow, flow rate and turnover rate. The risk prediction model is used to analyze the flow pattern of cargo in the port operation process, find out the congestion points and inefficient links in the logistics path, re-plan the cargo transportation route according to the analysis results, and reasonably divide the warehouse area; The operating data of the equipment, including temperature, pressure, vibration and energy consumption, is collected in real time through sensors and monitoring equipment. The risk prediction model learns from historical data to predict the failure probability and energy consumption data of the equipment and formulate a preventive maintenance plan.

[0035] Combined with cloud computing and big data technology, the IoT system can intelligently process and analyze the collected data, identify potential safety hazards and abnormal situations, and provide a scientific basis for decision-making. Artificial intelligence technology can build an intelligent decision support system to intelligently analyze and support decision-making for alarm information. This system can automatically determine the urgency and scope of the alarm based on preset rules and algorithms, and give corresponding treatment suggestions.

[0036] In this embodiment, the intelligent decision support system is combined with the automatic control system to realize the automatic response and processing of alarm information. For example, when a fire alarm occurs, the system can automatically start the fire fighting equipment to extinguish the fire; when an intrusion alarm occurs, the system can automatically notify the security personnel to go to the scene to handle it. This automatic response mechanism improves the efficiency and accuracy of emergency handling.

[0037] By achieving real-time transmission of two-way warning information between ships and the smart port network, port management departments can timely understand the safety status and potential risks of ships, and take preventive and response measures in advance. This helps to improve the operational efficiency and management level of ports.

[0038] In smart ports, big data and artificial intelligence technologies often integrate and promote each other. Big data technology provides artificial intelligence with a rich data source and powerful computing power; while artificial intelligence technology provides more intelligent and precise solutions for port operations through in-depth mining and analysis of big data. For example, in smart logistics systems, big data technology can track the location and status information of goods in real time; while artificial intelligence technology can automatically adjust transportation routes and loading and unloading plans based on this information to achieve fast and accurate delivery of goods.

[0039] This embodiment provides a real-time transmission system of two-way warning information of a coastal smart ship port, including: A communication construction module is used to set up satellite communication equipment and 4G / 5G communication equipment, monitor the signal quality of the satellite communication equipment and 4G / 5G communication equipment, and automatically select the optimal communication channel for data transmission through automatic switching technology; The alarm transmission module is used to set sensors and alarm devices to collect alarm information in real time, encode the alarm information into a format suitable for network transmission and integrate it, and send it to the cloud and the receiving end for processing through the current optimal communication channel; The analysis and decision-making module is used to conduct in-depth mining and analysis of the integrated alarm information through artificial intelligence technology.

[0040] Obviously, those skilled in the art can make various changes and modifications to the invention without departing from the spirit and scope of the invention. Thus, if these modifications and variations of the invention fall within the scope of the claims of the invention and their equivalents, the invention is also intended to include these modifications and variations.

[0041] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for real-time transmission of two-way warning information of a coastal smart ship port, characterized in that: include: S1: Setting up satellite communication equipment and 4G / 5G communication equipment, monitoring the signal quality of the satellite communication equipment and the 4G / 5G communication equipment, and automatically selecting the optimal communication channel for data transmission through automatic switching technology; S2: Set up sensors and alarm devices to collect alarm information in real time, encode the alarm information into a format suitable for network transmission and integrate it, and send it to the cloud and the receiving end for processing through the current optimal communication channel; S3: Use artificial intelligence technology to conduct in-depth mining and analysis of the integrated alarm information.

2. The real-time transmission method of two-way warning information of coastal smart ship port according to claim 1 is characterized in that: In step S1, monitoring the signal quality of the satellite communication device and the 4G / 5G communication device, and automatically selecting the optimal communication channel for data transmission through the automatic switching technology further includes: The signal quality includes signal strength, network speed, signal-to-noise ratio and bit error rate. Communication channels with high signal strength and low bit error rate are given priority, and a switching threshold is set. When the signal quality of a communication channel is lower than the threshold, the switching operation of the communication channel is automatically triggered to ensure that the 4G / 5G network is used first when the 4G / 5G network coverage is good, and switch to satellite communication when the 4G / 5G network is unavailable or the signal is poor.

3. The real-time transmission method of two-way warning information of a coastal smart ship port according to claim 1 is characterized in that: In step S2, the sensors and alarm equipment include fire alarms and intrusion detection systems, wherein: The fire alarm includes a smoke detector, a heat detector and a flame detector, which cooperate with each other to trigger an alarm signal at the early stage of a fire; The intrusion detection system includes infrared detectors, microwave detectors and video monitoring systems. It monitors the site by detecting objects entering the monitoring area and the movement of objects as well as video image information, and automatically triggers an alarm signal when an abnormality is identified.

4. The real-time transmission method of two-way warning information of a coastal smart ship port according to claim 3 is characterized in that: In step S2, setting sensors and alarm devices to collect alarm information in real time further includes: Deploy the aforementioned sensors and alarm equipment in key areas of ships and ports through the Internet of Things technology to monitor cargo information, equipment status, environmental parameters, network data and security status information; At the same time, video acquisition equipment is installed to collect video signals, and the collected video signals are encoded and converted into a format suitable for network transmission.

5. The real-time transmission method of two-way warning information of coastal smart ship port according to claim 4 is characterized in that: In step S2, encoding the alarm information into a format suitable for network transmission and integrating it further includes: The alarm signal is encoded into JSON and XML formats for transmission, and the alarm information data is integrated through big data technology to form a unified data warehouse or data lake, providing a basis for subsequent data analysis.

6. The real-time transmission method of two-way warning information of a coastal smart ship port according to claim 5 is characterized in that: The transmission process of step S2 further includes: Encryption technology and identity authentication are used to ensure the security of alarm information transmission. At the same time, the encoded video data and other data to be uploaded are packaged and processed, and compression technology and optimization algorithms are used to reduce data volume and transmission time; A real-time monitoring interface and playback function are set up in the control center to check the video data uploaded by the video acquisition device at any time and take corresponding management measures.

7. The real-time transmission method of two-way warning information of a coastal smart ship port according to claim 1 is characterized in that: In step S2, sending to the cloud and the receiving end for processing through the currently optimal communication channel further includes: A receiving terminal is set in the control center to receive and process the alarm information in real time, and the processing capabilities include decoding, display, storage and analysis; If the alarm information is received, the corresponding response mechanism is immediately activated to further analyze and process the alarm information, determine the severity of the accident and take corresponding response measures.

8. The real-time transmission method of two-way warning information of a coastal smart ship port according to claim 1 is characterized in that: In step S3, deep mining and analysis of the integrated alarm information by artificial intelligence technology further includes: A risk prediction model is constructed based on historical alarm data and integrated alarm information, and the risk prediction model is trained to perform risk prediction and decision support for the port operation process. Combined with an automated control system, automatic response and processing of alarm information can be achieved.

9. The real-time transmission method of two-way warning information of a coastal smart ship port according to claim 8 is characterized in that: The risk prediction model is used to analyze the flow of goods and the operating data of equipment, optimize the logistics path and storage layout, and predict the maintenance needs of equipment, including: The cargo flow situation includes port entry and exit records, transportation time and storage location. The analysis indicators include cargo flow, flow rate and turnover rate. The risk prediction model is used to analyze the flow pattern of cargo in the port operation process, find out the congestion points and inefficient links in the logistics path, re-plan the cargo transportation route according to the analysis results, and reasonably divide the warehouse area; The operating data of the equipment, including temperature, pressure, vibration and energy consumption, is collected in real time through sensors and monitoring equipment. The risk prediction model learns from historical data to predict the failure probability and energy consumption data of the equipment and formulate a preventive maintenance plan.

10. A real-time transmission system for two-way warning information of a coastal smart ship port, characterized in that: include: A communication construction module is used to set up satellite communication equipment and 4G / 5G communication equipment, monitor the signal quality of the satellite communication equipment and 4G / 5G communication equipment, and automatically select the optimal communication channel for data transmission through automatic switching technology; The alarm transmission module is used to set sensors and alarm devices to collect alarm information in real time, encode the alarm information into a format suitable for network transmission and integrate it, and send it to the cloud and the receiving end for processing through the current optimal communication channel; The analysis and decision-making module is used to conduct in-depth mining and analysis of the integrated alarm information through artificial intelligence technology.

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