Multi-operator oriented IPTV earthquake early warning information cross-network publishing and supervision system

Abstract

The application discloses a multi-operator-oriented IPTV earthquake early warning information cross-network publishing and supervision system, introduces an emergency broadcast platform as a unified emergency information gathering and dispatching hub, and constructs a cooperative system comprising an IPTV publishing supervision module and an IPTV platform early warning module, and forms a technical scheme for breaking through the information island of multi-operator IPTV such as telecom, mobile and Unicom for the first time in the field of earthquake early warning. The system can receive early warning information through a standardized interface, and automatically and in parallel distribute the early warning information to different networks, and finally deliver the early warning information to millions of IPTV users, and fundamentally solves the problem that earthquake early warning information cannot be synchronously published in a multi-operator environment. Meanwhile, the IPTV publishing supervision module centrally supervises the whole process from information receiving, distribution to terminal feedback, and realizes the visibility, controllability and traceability of the state of information in the cross-network transmission process.

Description

Technical Field

[0001] This invention relates to the technical field of earthquake early warning, specifically to a cross-network publishing and monitoring system for IPTV earthquake early warning information for multiple operators. Background Technology

[0002] Earthquake early warning is an effective technical means to mitigate earthquake disasters. In recent years, with the increase in the density of earthquake monitoring networks and the improvement of processing algorithms, my country's earthquake early warning capabilities have been significantly enhanced, and it can now forward early warning information within seconds of an earthquake. Currently, the dissemination of earthquake early warning information relies heavily on channels such as mobile apps and dedicated early warning terminals, which suffer from limited coverage.

[0003] Utilizing the wide coverage and high penetration rate of IPTV networks for distribution is considered an ideal way to solve the "last mile" problem. However, the IPTV platforms of major operators such as China Telecom, China Mobile, and China Unicom are independent in terms of technical architecture, network protocols, interface standards, and security policies, forming a series of different and closed "information silos." This results in earthquake early warning information not being able to be simultaneously distributed to all operators' IPTV users through a single interface, and the entire distribution process cannot form an effective closed-loop supervision. Summary of the Invention

[0004] This application provides a cross-network publishing and monitoring system for IPTV earthquake early warning information for multiple operators, in order to solve the problem of unified publishing and monitoring of earthquake early warning information in different network environments of multiple operators.

[0005] To address the aforementioned technical problems, firstly, this application provides a cross-network publishing and monitoring system for IPTV earthquake early warning information across multiple operators, comprising:

[0006] An earthquake early warning information forwarding module is used to forward earthquake early warning information and transmit the earthquake early warning information to an earthquake early warning security module via a preset data line; the earthquake early warning information includes at least one of earthquake event parameters, predicted impact parameters, early warning target parameters, information category identifiers, and security authentication data.

[0007] The earthquake early warning safety module is used to receive and verify the authenticity and integrity of the earthquake early warning information from the earthquake early warning information forwarding module, and forward the verified authentic earthquake early warning information to the emergency broadcasting platform;

[0008] The emergency broadcasting platform, serving as a unified emergency information aggregation and dispatch hub, is communicatively connected to the earthquake early warning safety module. It is used to receive the real earthquake early warning information and distribute the real earthquake early warning information in parallel to multiple emergency information dissemination channels, including the IPTV network.

[0009] The IPTV publishing and supervision module is connected to the emergency broadcasting platform to receive the real earthquake early warning information from the emergency broadcasting platform and to supervise the entire process of publishing the real earthquake early warning information.

[0010] The IPTV platform early warning module is used to connect with the IPTV publishing and supervision module through a secure communication link, to receive the real earthquake early warning information, and to push the real earthquake early warning information to the set-top box devices of the users through the intranet of each operator;

[0011] The user set-top box is embedded with an earthquake early warning unit, which is used to receive real earthquake early warning information pushed by the IPTV platform early warning module in real time, and collect broadcast status information and feed it back to the IPTV platform early warning module.

[0012] In one embodiment, the earthquake early warning safety module includes:

[0013] The identity authentication unit is used to authenticate the source of earthquake early warning information based on digital certificates.

[0014] The integrity verification unit is used to perform integrity verification on earthquake early warning information based on a hash algorithm.

[0015] A logic verification unit is used to verify the logical rationality of key parameters in earthquake early warning information; the key parameters include magnitude range, spatiotemporal rationality, and parameter correlation.

[0016] The earthquake early warning security module will only forward the earthquake early warning information to the emergency broadcasting platform after the identity authentication, integrity verification, and logical rationality verification have all passed.

[0017] In one embodiment, the logic verification unit includes:

[0018] The magnitude range verification sub-unit verifies whether the earthquake magnitude is within a preset reasonable physical range and generates a first confidence score based on the verification results.

[0019] The spatiotemporal rationality verification subunit verifies whether the earthquake timestamp is the current or near future time, and whether the epicenter latitude and longitude are within the preset monitoring geographical area, and generates a second confidence score based on the verification results;

[0020] The parameter correlation verification sub-unit verifies whether the mathematical relationship between the focal depth and the predicted earthquake intensity conforms to the predefined seismological model, and generates a third confidence score based on the verification results.

[0021] The fusion layer subunit is used to calculate a comprehensive confidence score by weighting and fusing the first confidence score, the second confidence score, and the third confidence score, and then comparing the comprehensive confidence score with a preset threshold to ultimately determine whether the logical rationality check is passed.

[0022] In one embodiment, the first confidence score for the magnitude range verification is a binary score or a continuous score calculated based on the degree to which the magnitude deviates from the reasonable range boundary;

[0023] The second confidence score for the spatiotemporal rationality verification is calculated based on the difference between the earthquake timestamp and the current time, and the product of the geographical distance between the epicenter and the boundary of the monitoring area.

[0024] The third confidence score for the parameter correlation verification is calculated based on the deviation between the predicted intensity and the expected intensity calculated using a predefined seismological model based on the magnitude and focal depth.

[0025] In one embodiment, the earthquake early warning safety module further includes a risk assessment and response unit.

[0026] The risk assessment and handling unit is used to trigger different handling strategies based on the type and severity level of the verification failure when any verification fails. The handling strategies include at least one of recording a security log, issuing an alarm message, and blocking the forwarding of the earthquake early warning information.

[0027] In one embodiment, the emergency broadcasting platform further includes a distribution strategy engine unit, which is used to intelligently generate differentiated distribution strategies based on the predicted intensity spatial distribution map in the real earthquake early warning information. The distribution strategy includes: publishing complete early warning information containing strong vibration alerts and evacuation guidance to areas where the predicted intensity is greater than or equal to a first preset threshold, while publishing only earthquake rapid reports and weak vibration alerts to areas where the predicted intensity is between a second preset threshold and a third preset threshold.

[0028] In one embodiment, the emergency broadcasting platform further includes a natural disaster early warning unit connected to the disaster early warning units of meteorological and geological departments. When the real earthquake early warning information is received and there are meteorological or geological disaster early warnings in overlapping areas, the platform generates and distributes fused early warning information containing composite disaster avoidance guidance.

[0029] In one embodiment, the IPTV publishing supervision module includes:

[0030] The information receiving and decoding unit is used to receive and parse real earthquake early warning information from the emergency broadcasting platform and verify the compliance of data format and protocol.

[0031] The release strategy management unit is used to configure a release strategy for the real earthquake early warning information according to a predefined rule base. The release strategy includes target operators, release priority, target user scope, and terminal display template.

[0032] The distribution status monitoring unit is used to establish a communication connection with the IPTV platform early warning module and monitor the link status, data traffic and latency of the distribution of the real earthquake early warning information to each operator in real time.

[0033] The service quality assessment unit is used to receive and aggregate terminal feedback information reported by the IPTV platform's early warning module, and generate a multi-dimensional service quality assessment report including the success rate of broadcasting, the terminal online rate, and the average broadcast latency.

[0034] In one embodiment, the IPTV platform early warning module includes:

[0035] The protocol adaptation unit is used to receive standard format warning information from the IPTV publishing and supervision module and convert the standard format warning information into data packets suitable for the operator's internal network protocol;

[0036] The message queue management unit is used to manage the massive number of user set-top box connections. It determines the target group information that needs to receive the data packets through a publish / subscribe model. The target group information includes the target user set-top box group and its network location information.

[0037] The push engine unit is used to receive the target group information, and push the data packets to the target user's set-top box efficiently and concurrently through the operator's content delivery network or multicast technology.

[0038] The feedback aggregation unit is used to receive and temporarily store the warning information reception status feedback reported by the user set-top box.

[0039] In one embodiment, the IPTV platform early warning module further includes a feedback analysis unit, which is used to receive aggregated feedback data from the feedback aggregation unit and identify the target groups from which the push failed.

[0040] The beneficial effects of the aforementioned cross-network release and monitoring system for IPTV earthquake early warning information targeting multiple operators are as follows:

[0041] This application introduces an emergency broadcasting platform as a unified hub for emergency information aggregation and dispatch, and constructs a collaborative system including an IPTV distribution and monitoring module and an IPTV platform early warning module. For the first time in the field of earthquake early warning, it establishes a technical solution that breaks down the "information silos" of IPTV services from multiple operators such as China Telecom, China Mobile, and China Unicom. The system can receive early warning information through a standardized interface and automatically and in parallel distribute it to various networks, ultimately reaching tens of millions of IPTV users. This fundamentally solves the problem of earthquake early warning information not being able to be released synchronously across multiple operators. Simultaneously, the IPTV distribution and monitoring module centrally monitors the entire process from information reception and distribution to terminal feedback, achieving visibility, controllability, and traceability of information status during cross-network transmission. This allows management personnel to monitor the distribution status and delivery of earthquake early warning information within each operator's network in real time, effectively changing the situation where the earthquake early warning information release process was unmonitored in existing technologies. Attached Figure Description

[0042] Figure 1 This is a schematic diagram illustrating the structure of a cross-network publishing and monitoring system for IPTV earthquake early warning information for multiple operators, as shown in an embodiment of this application.

[0043] Figure 2 for Figure 1 This application embodiment shows a schematic diagram of the earthquake early warning security module of a multi-operator IPTV earthquake early warning information cross-network publishing and monitoring system;

[0044] Figure 3 for Figure 1 This application embodiment shows a schematic diagram of the structure of an emergency broadcasting platform for a multi-operator IPTV earthquake early warning information cross-network publishing and monitoring system;

[0045] Figure 4 for Figure 1 This application embodiment shows a schematic diagram of the IPTV release and supervision module of a cross-network release and supervision system for IPTV earthquake early warning information for multiple operators;

[0046] Figure 5 for Figure 1 This application embodiment shows a schematic diagram of the structure of the IPTV platform early warning module of a cross-network publishing and monitoring system for IPTV earthquake early warning information for multiple operators. Detailed Implementation

[0047] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to provide a thorough understanding of the present invention. However, the present invention can be practiced in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0048] It should be noted that when a component is considered to be "connected" to another component, it can be directly connected to the other component or there may be an intermediary component present. Conversely, when a component is said to be "directly" connected to another component, there is no intermediary component.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0050] like Figure 1 As shown, this application provides a cross-network publishing and monitoring system for IPTV earthquake early warning information for multiple operators, including:

[0051] Earthquake early warning information forwarding module 1 is used to forward earthquake early warning information and transmit the earthquake early warning information to earthquake early warning security module 2 through a preset data dedicated line; the earthquake early warning information includes at least one of earthquake event parameters, predicted impact parameters, early warning target parameters, information category identifiers, and security authentication data.

[0052] IPTV is a dedicated, manageable IP network built by various operators. It pushes relevant information through the operator's intranet and uses a set-top box customized by the operator to watch the relevant information content on a TV.

[0053] The earthquake early warning information forwarding module 1 communicates with a preset number of earthquake monitoring stations to acquire real-time seismic wave data from each station. The preset dedicated data line refers to a private, physically or logically isolated communication line, such as an SDH leased line or MPLS-VPN, rather than using the public internet. This ensures high reliability, high security, and low latency in data transmission.

[0054] Earthquake early warning information is not a simple message, but a structured data packet containing rich data fields. Earthquake event parameters describe the core attributes of the earthquake itself, including the time of occurrence, epicentral longitude, epicentral latitude, focal depth, and magnitude. Predictive impact parameters describe the potential consequences of the earthquake, including predicted seismic intensity, intensity distribution maps, and peak ground acceleration. Early warning target parameters are crucial for calculating and guiding the dissemination of different content to different regions, including a list of early warning target areas, epicentral distance, and estimated S-wave arrival time. Information category identifiers indicate the type and urgency of the information, including early warning information, earthquake rapid reporting information, test information, drill information, and withdrawal information. Security authentication data serves as an anti-counterfeiting label to ensure the authenticity and integrity of the information, including digital signatures, message verification codes, or hash values. The earthquake early warning security module 2 uses this data to verify that the information indeed originates from the trusted earthquake early warning information forwarding module 1 and has not been tampered with during transmission.

[0055] like Figure 2 As shown, the earthquake early warning safety module 2 is used to receive and verify the authenticity and completeness of the earthquake early warning information from the earthquake early warning information forwarding module 1, and forward the verified real earthquake early warning information to the emergency broadcasting platform 3;

[0056] The earthquake early warning safety module 2 includes:

[0057] Identity authentication unit 21 is used to authenticate the source of earthquake early warning information based on a digital certificate;

[0058] Earthquake early warning information forwarding module 1 signs the information or information digest using its private key, and identity authentication unit 21 verifies the signature using the public key of earthquake early warning information forwarding module 1. If verification is successful, identity authentication is complete. The public key comes from the digital certificate of earthquake early warning information forwarding module 1.

[0059] Integrity verification unit 22 is used to perform integrity verification on earthquake early warning information based on a hash algorithm;

[0060] Earthquake early warning information forwarding module 1 calculates the hash value of the earthquake early warning information and sends it along with the information. Integrity verification unit 22 recalculates the hash value and compares it. If the hash values ​​match, the integrity verification passes.

[0061] The logic verification unit 23 is used to verify the logical rationality of key parameters in earthquake early warning information; the key parameters include magnitude range, spatiotemporal rationality, and parameter correlation.

[0062] The logic verification unit 23 includes:

[0063] The magnitude range verification subunit verifies whether the earthquake magnitude is within a preset reasonable physical range and generates a first confidence score based on the verification result; the first confidence score of the magnitude range verification is a binary score or a continuous score calculated based on the degree to which the magnitude deviates from the boundary of the reasonable range.

[0064] Let the earthquake magnitude be M. The earthquake magnitude M is usually between 1 and 10. If the binary score calculation method is used, the earthquake magnitude M∈[1,10], and the first confidence score is S1. If the earthquake magnitude is between 1 and 10, then S1=1. If the earthquake magnitude is outside of 1-10, then S1=0.

[0065] Continuous score calculation method: We generally divide the earthquake magnitude M∈[1,10] into 3 intervals: the core confidence zone, the boundary attenuation zone, and the rejection zone. The earthquake magnitude in the core confidence zone is M∈[4,9], which is the most common earthquake magnitude range and is given the highest confidence level, i.e., S1=1. The earthquake magnitude range in the rejection zone is M<1 or M>10, and S1=0. The earthquake magnitude in the boundary attenuation zone is M∈[1,4] or M∈[9,10]. Although the magnitude is within the physical range, it is at the edge, so the confidence level decreases linearly.

[0066] When the earthquake magnitude M < 4; S1 = a + b•(M-1) / (4-1), where a is the baseline score and b is the scaling factor, representing the total range of change in the confidence score within the transition interval. For example, if a = 0.2, then b is the score we want to rise from 0.2 at the beginning of the interval to 1 at the end, so the total change is 1 - 0.2 = 0.8. For example, if M = 2, then S1 = 0.2 + 0.8•(2-1) / (4-1) = 0.47.

[0067] When the earthquake magnitude M>9: S1=cd•(M-9) / (10-9), where c is the maximum confidence score, usually 1; d is the maximum score that can be deducted from the total score, which can be set to 0.8. Therefore, when the magnitude changes from 9 to 10, the confidence score will decrease by a total of 0.8 points. For example, when M=9.5, S1=10-0.8•(9.5-9) / 1=0.6.

[0068] The spatiotemporal rationality verification subunit verifies whether the earthquake timestamp is the current or near future time, and whether the epicenter latitude and longitude are within the preset monitoring geographical area, and generates a second confidence score based on the verification results;

[0069] The second confidence score for the spatiotemporal rationality verification is calculated based on the difference between the earthquake timestamp and the current time, and the product of the geographical distance between the epicenter and the boundary of the monitoring area.

[0070] The second confidence score is S2, the difference between the earthquake occurrence timestamp and the current time is F_time(Δt), Δt = |earthquake occurrence time - current time|. When Δt ≤ 30 seconds, F_time = 1. When 30 seconds < Δt ≤ 120 seconds, F_time = 1 - (Δt - 30) / 90. When Δt > 120 seconds, F_time = 0.

[0071] The geographical distance between the epicenter location and the boundary of the monitoring area is F_space(D), D = the shortest distance from the epicenter to the boundary of the monitoring area. When D ≤ -10 km, F_space = 1. When -10 km < D ≤ 100 km, F_space = 0.9 + 0.1•(-D / 10). When D > 100 km, F_space = 0. Then S2 = F_time • F_space.

[0072] For example, when the time difference Δt = 50 seconds and D = -2 km, F_time(50) = 1.0 - (50 - 30) / 90 ≈ 1.0 - 0.22 = 0.78; F_space(-2) = 0.9 + 0.1•(2 / 10) = 0.9 + 0.02 = 0.92. Then S2 = 0.78 • 0.92 ≈ 0.72.

[0073] The parameter correlation verification subunit verifies whether the mathematical relationship between the focal depth and the predicted earthquake intensity conforms to a predefined seismological model, and generates a third confidence score according to the verification result.

[0074] The third confidence score of the parameter correlation verification is calculated based on the deviation value between the predicted intensity and the expected intensity calculated by the predefined seismological model according to the magnitude and the focal depth.

[0075] The calculation formula for the expected intensity is: I2 = a•M - b•log10(e + c) - d, where M is the magnitude, e is the epicentral distance, and a, b, c, d are coefficients fitted according to historical data. The calculation formula for the deviation value is: ΔI = |predicted intensity (I1) - expected intensity (I2)|. Map the deviation value to a confidence score. When ΔI ≤ 1, S3 = 1. When 1 < ΔI ≤ 3, S3 = 1 - (ΔI - 1) / 2. When ΔI > 3, S3 = 0.

[0076] For example, M = 7.5, D = 60 km, and the predicted intensity I1 = 8 for a certain place. Then the expected intensity I2 calculated by the model is 7.8, ΔI = |8.0 - 7.8| = 0.2, and S3 = 1 is calculated.

[0077] The fusion layer subunit is used to calculate a comprehensive confidence score by weighting and fusing the first confidence score, the second confidence score, and the third confidence score, and then comparing the comprehensive confidence score with a preset threshold to ultimately determine whether the logical rationality check is passed.

[0078] Let the overall confidence score be S. Then S = w1•S1 + w2•S2 + w3•S3. When w1 = 0.2, w2 = 0.3, w3 = 0.5, S1 = 0.6, S2 = 0.72, and S3 = 1, then S = 0.2•0.6 + 0.3•0.72 + 0.5•1 = 0.836. If the preset threshold is 0.8, then the result of the logical rationality check is passed.

[0079] The earthquake early warning security module 2 will only forward the earthquake early warning information to the emergency broadcasting platform after the identity authentication, integrity verification and logical rationality verification have all passed.

[0080] In one embodiment, the earthquake early warning safety module 2 further includes a risk assessment and response unit 24.

[0081] The risk assessment and handling unit 24 is used to trigger different handling strategies according to the type and severity level of the verification failure when any verification fails. The handling strategies include at least one of recording a security log, issuing an alarm message, and blocking the forwarding of the earthquake early warning information.

[0082] For example, if authentication fails, it means that the data source is completely untrusted and is very likely a malicious attack. In this case, the severity level is severe failure, and the handling strategy is to immediately discard the information, record the attack source, time and method in detail in the security log, and send the highest level of alert to the security officer.

[0083] Emergency broadcasting platform 3, as a unified emergency information aggregation and dispatch hub, is communicatively connected to the earthquake early warning safety module 2, and is used to receive the real earthquake early warning information and distribute the real earthquake early warning information in parallel to multiple emergency information release channels, including the IPTV network.

[0084] like Figure 3 As shown, the emergency broadcasting platform 3 receives information from the earthquake early warning safety module 2 through a preset, highly available communication link. The emergency broadcasting platform 3 has multi-threading capabilities; upon receiving a real earthquake early warning, it immediately copies it multiple times and simultaneously calls the sending interfaces of different channels, eliminating delays caused by sequential transmission and ensuring that all members of the public receive the warning almost simultaneously, thus gaining valuable time for evacuation. The IPTV network includes the television networks of telecommunications, mobile, and Unicom operators.

[0085] The emergency broadcasting platform 3 also includes a distribution strategy engine unit 31, which is used to intelligently generate differentiated distribution strategies based on the spatial distribution map of predicted intensity in the real earthquake early warning information. The distribution strategy includes: publishing complete early warning information containing strong vibration alerts and evacuation guidance to areas where the predicted intensity is greater than or equal to a first preset threshold, while only publishing earthquake rapid reports and weak vibration alerts to areas where the predicted intensity is between a second preset threshold and a third preset threshold.

[0086] The predicted intensity spatial distribution map is an earthquake impact map within the real earthquake early warning information. Based on magnitude, focal depth, epicenter location, and local geological conditions, it is calculated using scientific models and graphically or numerically indicates the potential earthquake intensity for different regions. Different target areas are defined according to the predicted intensity values, and information of varying levels of detail and urgency is pushed to different areas.

[0087] For example, in areas where the predicted intensity is greater than or equal to the first preset threshold, the strongest warnings will be used, such as "Earthquake waves are approaching, please take immediate shelter!" and "Strong tremors are expected!" Specific action instructions will also be included, such as "Please immediately drop to the ground, cover yourself, and hold on tight!" and "Stay away from windows and high objects!"

[0088] The emergency broadcasting platform 3 also includes a natural disaster early warning unit 32, which is connected to the disaster early warning units of meteorological and geological departments. When it receives the real earthquake early warning information and there are meteorological or geological disaster early warnings in overlapping areas, it generates and distributes fused early warning information containing composite disaster avoidance guidance.

[0089] Meteorological disasters typically include rainstorms, typhoons, strong winds, and hail, while geological disasters typically include landslides, mudslides, and collapses. When earthquakes overlap with meteorological or geological disasters in time and space, a fusion early warning information is triggered.

[0090] For example, if an earthquake and torrential rain occur simultaneously in a certain area, simply following the earthquake early warning information would typically instruct people to run to open outdoor areas for safety. However, if it is raining heavily outdoors at the same time, running to open outdoor areas for safety is clearly wrong. Therefore, in the case of an earthquake and torrential rain occurring simultaneously, the combined early warning information should guide people to "When an earthquake occurs, please immediately lie down, take cover, and hold on tightly, prioritizing head protection from falling debris. After the main shock, immediately move to nearby sturdy higher ground, be wary of flash floods and mudslides that may be triggered by the torrential rain and earthquake, and do not stay in low-lying areas or near gullies!" This approach better ensures people's safety.

[0091] like Figure 4As shown, the IPTV publishing and supervision module 4 is communicatively connected to the emergency broadcasting platform, and is used to receive the real earthquake early warning information from the emergency broadcasting platform and supervise the entire process of publishing the real earthquake early warning information;

[0092] In one embodiment, the IPTV publishing supervision module 4 includes:

[0093] The information receiving and decoding unit 41 is used to receive and parse real earthquake early warning information from the emergency broadcasting platform 3 and verify the compliance of data format and protocol.

[0094] The information receiving and decoding unit 41 receives a packaged message of real earthquake early warning information from the emergency broadcasting platform 3. After parsing the message, the information receiving and decoding unit 41 extracts various fields, such as magnitude, epicenter, intensity, and warning time. At the same time, it verifies the message, for example, by checking whether the message is in a valid JSON / XML format, whether the fields are complete, and whether the data type is correct.

[0095] The release strategy management unit 42 is used to configure a release strategy for the real earthquake early warning information according to a predefined rule base. The release strategy includes target operators, release priority, target user scope and terminal display template.

[0096] First, it's necessary to determine which target operators the real earthquake early warning information should be sent to. For example, an earthquake bordering Sichuan and Yunnan might only need to be sent to Sichuan Telecom, Sichuan Mobile, and Yunnan Unicom. Distribution priority is then assigned, with different real earthquake early warning messages generally receiving higher priority. The target user scope is usually determined using a GIS (Geographic Information System). Based on the predicted intensity distribution map in the real earthquake early warning information, the information is only pushed to users within a certain range of the epicenter, not to users throughout the province, to avoid unnecessary panic. The terminal display template typically specifies what the user will see on their television. For example, a high-intensity warning uses a template with a full-screen red display, a forced pop-up, and a sharp alarm sound.

[0097] The distribution status monitoring unit 43 is used to establish a communication connection with the IPTV platform early warning module 5 and monitor the link status, data traffic and latency of the distribution of real earthquake early warning information to various operators in real time.

[0098] The distribution status monitoring unit 43 establishes a communication connection with the IPTV platform early warning module 5, typically through a heartbeat mechanism. It periodically sends detection packets to the distribution systems of various operators to confirm their online status. Real-time monitoring of the link status, data traffic, and latency in distributing the real earthquake early warning information to various operators is conducted. This typically involves determining whether the network connection with a particular operator is smooth, interrupted, or unstable; whether the current amount of data being distributed exceeds the normal range; and whether the time difference between the information being sent from the IPTV publishing and monitoring module 4 and received by the operator is within acceptable limits.

[0099] The service quality assessment unit 44 is used to receive and aggregate terminal feedback information reported by the IPTV platform early warning module 5, and generate a multi-dimensional service quality assessment report including the success rate of broadcasting, the terminal online rate, and the average broadcast latency.

[0100] Service quality assessment unit 44 receives massive amounts of set-top box feedback data from downstream operator systems and generates quantitative reports based on aggregated data.

[0101] like Figure 5 As shown, the IPTV platform early warning module 5 is used to connect with the IPTV publishing and supervision module through a secure communication link, and is used to receive the real earthquake early warning information and push the real earthquake early warning information to the set-top box devices of the users through the intranet of each operator;

[0102] The IPTV platform early warning module 5 includes:

[0103] Protocol adaptation unit 51 is used to receive standard format warning information from IPTV publishing supervision module 4 and convert the standard format warning information into data packets suitable for the operator's internal network protocol;

[0104] Protocol adaptation unit 51 parses the standard format warning information from IPTV publishing and supervision module 4, extracts the real earthquake warning information content, and then repackages it into a new data packet that can be recognized by the internal systems of each operator, according to the requirements of the target message middleware.

[0105] The message queue management unit 52 is used to manage the massive number of user set-top box connections. It determines the target group information that needs to receive the data packets through a publish / subscribe mode. The target group information includes the target user set-top box group and its network location information.

[0106] The message queue management unit 52 maintains a persistent connection with all online set-top boxes within its jurisdiction. Each set-top box, upon powering on and connecting to the network, subscribes to a specific topic based on its geographical location information, such as its city, district, and county. When a real earthquake early warning arrives, the message queue management unit 52, based on the target area field in the message (e.g., "Chengdu, Chenghua District"), delivers the message to the corresponding topic's message queue. Only set-top boxes subscribed to that topic, i.e., users in Chengdu's Chenghua District, will receive the message. This ensures accurate information delivery, preventing warnings from being sent to users in Leshan that are from Chengdu, thus significantly saving network bandwidth and system resources. Finally, the message queue management unit 52 outputs a delivery list containing the addresses of all set-top boxes that need to receive this warning.

[0107] The push engine unit 53 is used to receive the target group information, and push the data packets to the target user's set-top box efficiently and concurrently through the operator's content delivery network or multicast technology.

[0108] The push engine unit 53 is responsible for efficiently and reliably delivering data packets to every address on the delivery list. The content delivery network utilizes the operator's nationwide network of edge nodes to pre-push data packets to the nodes closest to the user, and then the edge nodes complete the final delivery, greatly reducing transmission latency and the pressure on the central server. Multicast technology, within the operator's intranet, allows a message to be sent simultaneously to a group of users, rather than being sent individually to each user, thus significantly reducing network traffic and server load.

[0109] Feedback aggregation unit 54 is used to receive and temporarily store the warning information reception status feedback reported by the user set-top box.

[0110] The feedback aggregation unit 54 is responsible for receiving receipts from the terminal. Upon receiving information, the mass set-top box reports status information such as whether reception was successful, reception time, and whether a success pop-up window was displayed. The feedback aggregation unit 54 buffers and receives this massive amount of raw feedback data.

[0111] In one embodiment, the IPTV platform early warning module 5 further includes a feedback analysis unit 55, which is used to receive aggregated feedback data from the feedback aggregation unit 54 and identify the target groups from which the push failed.

[0112] Feedback analysis unit 55 processes data that has been preliminarily summarized and compressed, rather than the raw data.

[0113] If push notification failures are not randomly distributed, but concentrated in a specific area or on a specific set-top box model—for example, if all devices in a certain community fail—it's likely due to a network equipment malfunction in that area. In this case, an alert will be sent to maintenance personnel: "Network anomaly detected in a certain community in Chenghua District, Chengdu, causing push notification failures for 1000 users. Please inspect immediately!" instead of simply stating "system malfunction."

[0114] The user set-top box 6 has an embedded earthquake early warning unit, which is used to receive real earthquake early warning information pushed by the IPTV platform early warning module 5 in real time, and collect broadcast status information and feed it back to the IPTV platform early warning module 5.

[0115] The user's set-top box 6 maintains a persistent long-term connection with the operator's IPTV platform early warning module 5, constantly monitoring for incoming early warning information to ensure immediate reception without polling and avoid delays. After completing its task, the set-top box automatically generates a receipt containing key data such as: whether the message was completely delivered to the set-top box, the precise time the message arrived, whether the pop-up window successfully appeared and displayed, and the time elapsed from receiving the message to the final screen display. The set-top box automatically sends this receipt back to the operator's IPTV platform early warning module 5 via network connection. This allows the earthquake early warning system and the operator to accurately determine how many users received the real earthquake early warning information and which users did not, thus accurately calculating the delivery rate.

[0116] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0117] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. A cross-network publishing and monitoring system for IPTV earthquake early warning information for multiple operators, characterized in that: include: An earthquake early warning information forwarding module is used to forward earthquake early warning information and transmit the earthquake early warning information to an earthquake early warning security module via a preset data dedicated line; The earthquake early warning information includes at least one of the following: earthquake event parameters, predicted impact parameters, early warning target parameters, information category identifiers, and security authentication data; The earthquake early warning safety module is used to receive and verify the authenticity and integrity of the earthquake early warning information from the earthquake early warning information forwarding module, and forward the verified authentic earthquake early warning information to the emergency broadcasting platform; The emergency broadcasting platform, serving as a unified emergency information aggregation and dispatch hub, is communicatively connected to the earthquake early warning safety module. It is used to receive the real earthquake early warning information and distribute the real earthquake early warning information in parallel to multiple emergency information dissemination channels, including the IPTV network. The IPTV publishing and supervision module is connected to the emergency broadcasting platform to receive the real earthquake early warning information from the emergency broadcasting platform and to supervise the entire process of publishing the real earthquake early warning information. The IPTV platform early warning module is used to connect with the IPTV publishing and supervision module through a secure communication link, to receive the real earthquake early warning information, and to push the real earthquake early warning information to the set-top box devices of the users through the intranet of each operator; The user set-top box is embedded with an earthquake early warning unit, which is used to receive real earthquake early warning information pushed by the IPTV platform early warning module in real time, and collect broadcast status information and feed it back to the IPTV platform early warning module. The earthquake early warning safety module includes: The identity authentication unit is used to authenticate the source of earthquake early warning information based on digital certificates. The integrity verification unit is used to perform integrity verification on earthquake early warning information based on a hash algorithm. A logic verification unit is used to verify the logical rationality of key parameters in earthquake early warning information; the key parameters include magnitude range, spatiotemporal rationality, and parameter correlation. The earthquake early warning security module will only forward the earthquake early warning information to the emergency broadcasting platform after the identity authentication, integrity verification, and logical rationality verification have all passed. The logic verification unit includes: The magnitude range verification sub-unit verifies whether the earthquake magnitude is within a preset reasonable physical range and generates a first confidence score based on the verification results. The spatiotemporal rationality verification subunit verifies whether the earthquake timestamp is the current or near future time, and whether the epicenter latitude and longitude are within the preset monitoring geographical area, and generates a second confidence score based on the verification results; The parameter correlation verification subunit verifies whether the mathematical relationship between the focal depth and the predicted earthquake intensity conforms to the predefined seismological model, and generates a third confidence score based on the verification results. The fusion layer subunit is used to calculate a comprehensive confidence score by weighting and fusing the first confidence score, the second confidence score, and the third confidence score, and then comparing the comprehensive confidence score with a preset threshold to ultimately determine whether the logical rationality check is passed.

2. The IPTV earthquake early warning information cross-network publishing and monitoring system for multiple operators as described in claim 1, characterized in that: The first confidence score for the magnitude range verification is a binary score or a continuous score calculated based on the degree to which the magnitude deviates from the reasonable range boundary; The second confidence score for the spatiotemporal rationality verification is calculated based on the difference between the earthquake timestamp and the current time, and the product of the geographical distance between the epicenter and the boundary of the monitoring area. The third confidence score for the parameter correlation verification is calculated based on the deviation between the predicted intensity and the expected intensity calculated using a predefined seismological model based on the magnitude and focal depth.

3. The IPTV earthquake early warning information cross-network publishing and monitoring system for multiple operators as described in claim 1, characterized in that: The earthquake early warning safety module also includes a risk assessment and response unit. The risk assessment and handling unit is used to trigger different handling strategies based on the type and severity level of the verification failure when any verification fails. The handling strategies include at least one of recording a security log, issuing an alarm message, and blocking the forwarding of the earthquake early warning information.

4. The IPTV earthquake early warning information cross-network publishing and monitoring system for multiple operators as described in claim 1, characterized in that: The emergency broadcasting platform also includes a distribution strategy engine unit, which is used to intelligently generate differentiated distribution strategies based on the spatial distribution map of predicted intensity in the real earthquake early warning information. The distribution strategy includes: publishing complete early warning information containing strong vibration alerts and evacuation guidance to areas where the predicted intensity is greater than or equal to a first preset threshold, while publishing only earthquake rapid reports and weak vibration alerts to areas where the predicted intensity is between a second preset threshold and a third preset threshold.

5. The IPTV earthquake early warning information cross-network publishing and monitoring system for multiple operators as described in claim 4, characterized in that, The emergency broadcasting platform also includes a natural disaster early warning unit, which is connected to the disaster early warning units of meteorological and geological departments. When it receives the real earthquake early warning information and there are meteorological or geological disaster early warnings in overlapping areas, it generates and distributes fused early warning information containing composite disaster avoidance guidance.

6. The cross-network publishing and monitoring system for IPTV earthquake early warning information for multiple operators as described in claim 1, characterized in that, The IPTV publishing supervision module includes: The information receiving and decoding unit is used to receive and parse real earthquake early warning information from the emergency broadcasting platform and verify the compliance of data format and protocol. The release strategy management unit is used to configure a release strategy for the real earthquake early warning information according to a predefined rule base. The release strategy includes target operators, release priority, target user scope, and terminal display template. The distribution status monitoring unit is used to establish a communication connection with the IPTV platform early warning module and monitor the link status, data traffic and latency of the distribution of the real earthquake early warning information to each operator in real time. The service quality assessment unit is used to receive and aggregate terminal feedback information reported by the IPTV platform's early warning module, and generate a multi-dimensional service quality assessment report including the success rate of broadcasting, the terminal online rate, and the average broadcast latency.

7. The IPTV earthquake early warning information cross-network publishing and monitoring system for multiple operators as described in claim 6, characterized in that, The IPTV platform early warning module includes: The protocol adaptation unit is used to receive standard format warning information from the IPTV publishing and supervision module and convert the standard format warning information into data packets suitable for the operator's internal network protocol; The message queue management unit is used to manage the massive number of user set-top box connections. It determines the target group information that needs to receive the data packets through a publish / subscribe model. The target group information includes the target user set-top box group and its network location information. The push engine unit is used to receive the target group information, and push the data packets to the target user's set-top box efficiently and concurrently through the operator's content delivery network or multicast technology. The feedback aggregation unit is used to receive and temporarily store the warning information reception status feedback reported by the user set-top box.

8. The IPTV earthquake early warning information cross-network publishing and monitoring system for multiple operators as described in claim 7, characterized in that, The IPTV platform early warning module also includes a feedback analysis unit, which is used to receive aggregated feedback data from the feedback aggregation unit and identify the target groups from which the push failed.

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