An emergency information intelligent interaction method and system

Abstract

The application relates to the technical field of emergency information interaction, in particular to an emergency information intelligent interaction method and system. The method comprises the following steps: an emergency platform acquires initial emergency information through a primary connection channel, sets an event group according to a preprocessing result of the initial emergency information, sets a plurality of search and rescue groups according to the event group, sets an interaction link between each user terminal and the emergency platform according to all the search and rescue groups, acquires a monitoring data packet according to a preset update time node, and judges whether to generate a correction instruction of the search and rescue group according to the monitoring data packet. The valuable content in the initial emergency information is recognized, the type of a sudden event and an expected disaster area are quickly determined, a plurality of search and rescue groups are constructed according to an analysis result, the disaster area is divided into a plurality of subareas, the exclusive communication channels of the subareas are established, massive emergency information is optimized in communication, and the interaction efficiency of the emergency information is improved.

Description

Technical Field

[0001] This application relates to the field of emergency information interaction technology, and in particular to an intelligent emergency information interaction method and system. Background Technology

[0002] In emergency rescue operations involving sudden events (such as earthquakes, flash floods, missing persons, and urban flooding), efficiently establishing precise search and rescue channels is key to improving the success rate of rescue efforts.

[0003] Existing technologies generally rely on centralized command and dispatch systems. Rescue instructions are usually issued via broadcast or ubiquitous push, resulting in a large number of irrelevant terminals receiving information and causing channel congestion; instructions cannot be distributed to the actual search and rescue area dynamically divided according to the event, terminals in nearby but irrelevant areas continuously receive interference information, while terminals actually located in the core area may miss critical instructions due to signal problems; feedback information from different terminals is scattered across different platforms or links, making it impossible to integrate and analyze it from a unified perspective. Summary of the Invention

[0004] The purpose of this application is to provide an intelligent emergency information interaction method and system to solve the above-mentioned technical problems, aiming to improve the efficiency of information interaction and increase the success rate of rescue in the emergency rescue process.

[0005] In some embodiments of this application, by identifying valuable content in the initial emergency information, the type of emergency and the expected disaster area are quickly determined. Based on the analysis results, multiple search and rescue teams are constructed, the disaster area is divided into multiple sub-regions, and by establishing dedicated communication channels for each sub-region, communication optimization is performed on massive amounts of emergency information to improve the efficiency of emergency information interaction.

[0006] In some embodiments of this application, emergency information within a single sub-region is analyzed to generate targeted rescue strategies. These strategies are then transmitted via dedicated communication channels to prevent communication congestion caused by irrelevant terminals receiving information. Furthermore, by periodically adjusting search and rescue team parameters, communication delays across different communication channels are avoided, thereby improving the success rate of rescue efforts.

[0007] In some embodiments of this application, an intelligent emergency information interaction method is provided, including: The emergency platform obtains initial emergency information through a primary connection channel and sets up event groups based on the preprocessing results of the initial emergency information. Multiple search and rescue teams are set up according to the event group, and the interaction links between each user terminal and the emergency platform are set up according to all search and rescue teams; The monitoring data packets are obtained according to the preset update time nodes, and the correction instructions for the search and rescue team are determined based on the monitoring data packets.

[0008] In some embodiments of this application, event groups are set based on initial emergency information, including: Multiple emergency sub-events are generated based on historical emergency data; Establish a sequence A of sudden sub-events, A=(a1, a2, ..., a... t …a n ), where a t Let t be the t-th sudden sub-event; n is the number of sudden sub-events; Set search and rescue sub-strategies for each emergency sub-event, and establish an emergency event database based on all search and rescue sub-strategies; Generate event feature packages based on the preprocessing results of initial emergency information; Determine the correlation between the event feature package and the sequence of sudden sub-events, and set up event groups based on the determination results.

[0009] In some embodiments of this application, multiple search and rescue groups are set according to event groups, including: Generate the association values ​​between the event group and each search and rescue sub-strategy; Establish a sequence of related values ​​B, B=(b1, b2, ..., bb2). t …b n ), where b t is the association value between the event group and the search and rescue sub-strategy of the t-th emergency sub-event; n is the number of emergency sub-events; Preset correlation threshold B1; If b t >B1, Set the search and rescue sub-strategy corresponding to the t-th sudden sub-event as the associated sub-strategy; Generate a primary search and rescue strategy for the event group based on all associated sub-strategies; Multiple search and rescue teams are generated based on the primary search and rescue strategy, creating event groups.

[0010] In some embodiments of this application, multiple search and rescue groups are generated based on a primary search and rescue strategy, including: Establish a search and rescue team sequence P, P=(p1, p2…p i …p m ), where p i Let m be the i-th search and rescue team; m is the number of search and rescue teams. Based on the search and rescue team sequence P, p is set sequentially. i Search and rescue team for the target; Generate the mapping sub-region for the search and rescue team; Define the uplink and downlink for the target search and rescue team; Establish a secondary sub-channel for the target search and rescue team based on the uplink and downlink; The mapping sub-regions and secondary sub-channels of each search and rescue team are generated sequentially.

[0011] In some embodiments of this application, the interaction links between each user terminal and the emergency platform are defined, including: Obtain the mapping sub-regions of all search and rescue teams, and generate matching signals for each mapping sub-region; Generate a communication coverage area based on all mapped sub-regions; Establish a matched signal sequence H, H=(h1,h2…h i …h m ), where h i Let m be the matching signal within the mapped sub-region of the i-th search and rescue group; m is the number of search and rescue groups. Establish a sequence of user terminals C, C=(c1, c2, ..., c3). q …c r ), where c q Let q be the q-th user terminal; r is the number of user terminals; c is set sequentially according to the user terminal sequence C. q For the target terminal; Determine whether the target terminal is within the communication coverage area; If the target terminal is not within the communication coverage area, set the interaction link between the target terminal and the emergency platform as the primary connection channel; If it is within the communication coverage area, the matching signal obtained by the target terminal is set as the first-level matching signal; When the first-level matching signal is the matching signal h i At that time, the interaction link between the target terminal and the emergency platform is set as the secondary sub-channel of the i-th search and rescue group; The target terminal acquires the matching signal, including: Initiate the matching mode on the target terminal; When a single matching signal is received, the matching mode of the target terminal is turned off.

[0012] In some embodiments of this application, preset update time nodes include: A monitoring and evaluation value f is generated based on all interaction links; f=η [ s i ]; η=U1 e [ Y(i) (s) i -s')]; Where η is the compensation coefficient; s i Let be the expected load value of the i-th secondary sub-channel; s' be the load value threshold; Y(i) be the selection coefficient; if (s i -s')>0, Y(i)=1; if (s i-s')<0, Y(i)=0; U1 is the preset first conversion coefficient; e is the correction coefficient set based on the number of primary connection channels for the interactive link; m is the number of search and rescue teams; The duration of a single update cycle is set based on the monitoring and evaluation value f, and multiple update time nodes are set based on the duration of the update cycle.

[0013] In some embodiments of this application, determining whether to generate a correction instruction for the search and rescue team includes: Obtain the monitoring data packet for the current update time point; Establish a two-level sub-channel sequence D, D=(d1, d2…d…) i …d m ), where d i This represents the secondary sub-channel of the i-th search and rescue team; m is the number of search and rescue teams. The i-th secondary sub-channel is sequentially designated as the target sub-channel; The operational risk value k of the target sub-channel at the current update time node is generated based on the monitoring data packets; k=[ β z v z ]; Where θ1 represents the number of risk assessment indicators; β z v is the influencing factor of the z-th risk assessment indicator; z It is a reference value for the z-th risk assessment indicator generated based on the monitoring data packet; Preset operational risk threshold K1; If k > K1, generate the first-level correction instruction for the target sub-channel; Check sequentially whether to generate a first-level correction command for each second-level sub-channel.

[0014] In some embodiments of this application, determining whether to generate a correction instruction for the search and rescue team further includes: Generate the update evaluation value w for the current update time point; w=g [ λ ε j ε ]; g=U2 [ k i ]; Where θ2 is the number of load indicators for the primary connection channels; λ ε The ε-th load index of the primary connection channel is the influencing factor; j εThe risk value of the ε-th load indicator in the primary connection channel at the current update time; g is the load risk correction coefficient; U2 is the preset second conversion coefficient; m is the number of search and rescue teams; k i The operational risk value of the secondary sub-channel of the i-th search and rescue team at the current update time. Preset update evaluation value threshold W1; If w > W1, a secondary correction instruction is generated at the current update time node.

[0015] In some embodiments of this application, an intelligent emergency information interaction system is provided, including: The search and rescue unit is used to establish a database of emergencies based on historical emergency data. The emergency platform is used to obtain initial emergency information through a primary connection channel; The emergency platform includes: The first processing module is used to set up event groups based on the preprocessing results of the initial emergency information; The second processing module is used to set up multiple search and rescue groups according to the event group; The matching module is used to set the interaction links between each user terminal and the emergency platform according to the settings of all search and rescue teams; The update module is used to obtain monitoring data packets according to preset update time nodes, and determine whether to generate correction instructions for the search and rescue team based on the monitoring data packets; The search and rescue unit includes: The first processing module is used to generate multiple emergency sub-events based on historical emergency data; Establish a sequence A of sudden sub-events, A=(a1, a2, ..., a... t …a n ), where a t Let t be the t-th sudden sub-event; n is the number of sudden sub-events; The second processing module is used to set search and rescue sub-strategies for each emergency sub-event and to build an emergency event database based on all search and rescue sub-strategies.

[0016] In some embodiments of this application, the second processing module is further configured to: Generate the association values ​​between the event group and each search and rescue sub-strategy; Establish a sequence of related values ​​B, B=(b1, b2, ..., bb2). t …b n ), where b t is the association value between the event group and the search and rescue sub-strategy of the t-th emergency sub-event; n is the number of emergency sub-events; Preset correlation threshold B1; If b t >B1, Set the search and rescue sub-strategy corresponding to the t-th sudden sub-event as the associated sub-strategy; Generate a primary search and rescue strategy for the event group based on all associated sub-strategies; Multiple search and rescue teams are generated based on the primary search and rescue strategy, creating event groups.

[0017] Compared with the prior art, the emergency information intelligent interaction method and system of this application have the following advantages: By identifying valuable content in initial emergency information, the type of emergency and the expected disaster area can be quickly determined. Based on the analysis results, multiple search and rescue teams can be constructed, and the disaster area can be divided into multiple sub-regions. By establishing dedicated communication channels for each sub-region, communication of massive amounts of emergency information can be optimized, thereby improving the efficiency of emergency information interaction.

[0018] By analyzing emergency information within a single sub-region, targeted rescue strategies are generated and transmitted via dedicated communication channels to prevent communication congestion caused by irrelevant terminals receiving information. Furthermore, by periodically adjusting search and rescue team parameters, communication delays across different communication channels are avoided, thereby improving the success rate of rescue operations. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating an intelligent emergency information interaction method in a preferred embodiment of this application. Detailed Implementation

[0020] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate this application, but are not intended to limit the scope of this application.

[0021] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0022] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0023] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0024] like Figure 1 As shown in the preferred embodiment of this application, an emergency information intelligent interaction method includes: S101: The emergency platform obtains initial emergency information through the primary connection channel and sets up event groups based on the preprocessing results of the initial emergency information; S102: Set up multiple search and rescue groups according to the event group, and set up the interaction links between each user terminal and the emergency platform according to all search and rescue groups; S103: Obtain monitoring data packets according to preset update time nodes, and determine whether to generate correction instructions for the search and rescue team based on the monitoring data packets.

[0025] Specifically, event groups are set up based on initial emergency information, including: Multiple emergency sub-events are generated based on historical emergency data; Establish a sequence A of sudden sub-events, A=(a1, a2, ..., a... t …a n ), where a t Let t be the t-th sudden sub-event; n is the number of sudden sub-events; Set search and rescue sub-strategies for each emergency sub-event, and establish an emergency event database based on all search and rescue sub-strategies; Generate event feature packages based on the preprocessing results of initial emergency information; Determine the correlation between the event feature package and the sequence of sudden sub-events, and set up event groups based on the determination results.

[0026] Specifically, by analyzing historical disaster data, multiple emergency sub-events are generated. Different emergency sub-events represent different disaster categories, including but not limited to earthquakes, flash floods, missing persons, and urban flooding.

[0027] Specifically, based on the analysis of historical search and rescue parameters corresponding to the disaster category of the sudden sub-event, the optimal coverage area of ​​a single search and rescue team is determined, and the search and rescue sub-strategy corresponding to the current sudden sub-event is set according to the optimal coverage area.

[0028] Specifically, by identifying valuable content in the initial emergency information, disaster characteristic data and expected affected areas are quickly extracted, and an event feature package is generated based on the disaster characteristic data. The event feature package is then compared with the disaster characteristics of each sub-event. If the event feature package contains the disaster characteristics corresponding to the current sub-event, a direct correlation exists between the two.

[0029] Specifically, the disaster features in the event feature package are all high-frequency disaster features extracted from the initial emergency information. By setting a threshold for the number of each feature extracted, when the number of a single disaster feature extracted from the initial emergency information is greater than the preset threshold for the number of features extracted, the high-frequency odor disaster feature is set, and its feature extraction threshold can be set according to historical parameters.

[0030] Specifically, event groups are constructed based on all related emergency sub-events to quickly determine the current disaster type.

[0031] In a preferred embodiment of this application, multiple search and rescue groups are set up according to event groups, including: Generate the association values ​​between the event group and each search and rescue sub-strategy; Establish a sequence of related values ​​B, B=(b1, b2, ..., bb2). t …b n ), where b t is the association value between the event group and the search and rescue sub-strategy of the t-th emergency sub-event; n is the number of emergency sub-events; Preset correlation threshold B1; If b t >B1, Set the search and rescue sub-strategy corresponding to the t-th sudden sub-event as the associated sub-strategy; Generate a primary search and rescue strategy for the event group based on all associated sub-strategies; Multiple search and rescue teams are generated based on the primary search and rescue strategy, creating event groups.

[0032] Specifically, if there is a sudden sub-event corresponding to the i-th search and rescue sub-strategy within the event group, then the correlation value between the search and rescue sub-strategy and the event group is greater than a preset correlation value threshold. The specific value of the correlation value is set according to the number of disaster features extracted from the sudden sub-event in the event special package. The larger the number of features extracted, the larger the corresponding correlation value. The mapping relationship between the number of features extracted and the correlation value can be set according to historical parameters.

[0033] Specifically, the threshold for the correlation value can be set based on historical parameters.

[0034] Specifically, a primary search and rescue strategy is generated based on the weighted processing result of the best coverage area among all associated sub-strategies. The primary search and rescue strategy includes the primary coverage area.

[0035] Specifically, the first-level coverage area is generated by weighting the optimal coverage area corresponding to each associated sub-strategy. The weight coefficient of each associated sub-strategy is the ratio between its own association value and the sum of the association values ​​of all associated sub-strategies.

[0036] Specifically, based on the primary search and rescue strategy, the expected disaster-stricken area is divided into multiple search and rescue teams. The mapping sub-areas corresponding to each search and rescue team can have some overlap, thereby avoiding the occurrence of uncovered areas within the disaster-stricken area.

[0037] Specifically, multiple search and rescue groups are generated based on the primary search and rescue strategy, including: Establish a search and rescue team sequence P, P=(p1, p2…p i …p m ), where p i Let m be the i-th search and rescue team; m is the number of search and rescue teams. Based on the search and rescue team sequence P, p is set sequentially. i Search and rescue team for the target; Generate the mapping sub-region for the search and rescue team; Define the uplink and downlink for the target search and rescue team; Establish a secondary sub-channel for the target search and rescue team based on the uplink and downlink; The mapping sub-regions and secondary sub-channels of each search and rescue team are generated sequentially.

[0038] Specifically, a corresponding mapped sub-region is generated based on the actual coverage area of ​​the target search and rescue team.

[0039] Specifically, each user terminal receives rescue instructions and rescue information on the downlink channel and reports its own status and action results on the uplink.

[0040] Specifically, downlink instruction information includes, but is not limited to, text, images, audio and video clips, audio and video on-demand streaming media, and audio and video real-time streaming media; uplink feedback information includes, but is not limited to, real-time location coordinates, text, images, audio and video clips, audio and video on-demand streaming media, and audio and video real-time streaming media.

[0041] Specifically, by establishing a secondary sub-channel for the target search and rescue team, a dedicated communication connection is established between user terminals within the target search and rescue team's area and the emergency platform. This facilitates the emergency platform's targeted processing of emergency information and the generation of corresponding targeted search and rescue instructions, thereby improving overall rescue efficiency and ensuring smooth exchange of emergency information.

[0042] In a preferred embodiment of this application, the interaction link between each user terminal and the emergency platform is defined, including: Obtain the mapping sub-regions of all search and rescue teams, and generate matching signals for each mapping sub-region; Generate a communication coverage area based on all mapped sub-regions; Establish a matched signal sequence H, H=(h1,h2…h i …h m ), where h i Let m be the matching signal within the mapped sub-region of the i-th search and rescue group; m is the number of search and rescue groups. Establish a sequence of user terminals C, C=(c1, c2, ..., c3). q …c r ), where c q Let be the i-th user terminal; r is the number of user terminals; c is set sequentially according to the user terminal sequence C. q For the target terminal; Determine whether the target terminal is within the communication coverage area; If the target terminal is not within the communication coverage area, set the interaction link between the target terminal and the emergency platform as the primary connection channel; If it is within the communication coverage area, the matching signal obtained by the target terminal is set as the first-level matching signal; When the first-level matching signal is the matching signal h i At that time, the interaction link between the target terminal and the emergency platform is set as the secondary sub-channel of the i-th search and rescue group; The target terminal acquires the matching signal, including: Initiate the matching mode on the target terminal; When a single matching signal is received, the matching mode of the target terminal is turned off.

[0043] Specifically, by establishing matching signals for each secondary sub-channel and primary connection channel, all user terminals within the expected disaster area are matched to generate communication channels corresponding to each user terminal. This reduces the complexity of emergency data within a single communication channel, facilitates targeted processing by the emergency platform, enables communication optimization of massive amounts of emergency information, and directs the transmission of rescue information, avoiding communication congestion caused by irrelevant terminals receiving information.

[0044] Specifically, since the actual coverage areas of each search and rescue team may overlap, user terminals within the communication coverage area will stop matching dynamically after matching the first search and rescue team.

[0045] Specifically, by generating a matching signal for the primary connection channel, users in initially uncovered communication areas can also request help through the uplink of the primary connection channel.

[0046] It is understandable that in the above embodiments, by identifying valuable content in the initial emergency information, the type of emergency and the expected disaster area can be quickly determined. Based on the analysis results, multiple search and rescue teams are constructed, the disaster area is divided into multiple sub-regions, and by establishing dedicated communication channels for each sub-region, communication optimization of massive emergency information is performed to improve the efficiency of emergency information interaction.

[0047] In a preferred embodiment of this application, the preset update time node includes: A monitoring and evaluation value f is generated based on all interaction links; f=η [ s i ]; η=U1 e [ Y(i) (s) i -s')]; Where η is the compensation coefficient; s i Let be the expected load value of the i-th secondary sub-channel; s' be the load value threshold; Y(i) be the selection coefficient; if (s i -s')>0, Y(i)=1; if (s i -s')<0, Y(i)=0; U1 is the preset first conversion coefficient; e is the correction coefficient set based on the number of primary connection channels for the interactive link; m is the number of search and rescue teams; The duration of a single update cycle is set based on the monitoring and evaluation value f, and multiple update time nodes are set based on the duration of the update cycle.

[0048] Specifically, the expected load value is generated based on the number of user terminals matched in each secondary sub-channel; the more user terminals matched, the greater the expected load value. The mapping relationship between the number of user terminals matched and the expected load can be set based on historical parameters.

[0049] Specifically, by setting a first conversion coefficient, the compensation coefficient η is made to be within a preset value range, and the value of the compensation coefficient η is always greater than 1. Specifically, the larger the number of primary connection channels in the interactive links, the larger the corresponding correction coefficient e will be. The specific mapping relationship between the two can be set according to historical parameters. And the correction coefficient e will always be greater than 1.

[0050] Specifically, the compensation coefficient is kept within a preset range by pre-setting a first conversion coefficient.

[0051] Specifically, the higher the monitoring and evaluation value, the greater the communication load of each secondary sub-channel, and the greater the possibility of communication delay. It is necessary to monitor the operating status of each communication channel in a timely manner to avoid communication congestion.

[0052] Specifically, the larger the monitoring and evaluation, the shorter the corresponding update cycle.

[0053] Specifically, determining whether to generate a correction instruction for the search and rescue team includes: Obtain the monitoring data packet for the current update time point; Establish a two-level sub-channel sequence D, D=(d1, d2…d…) i …d m ), where d i This represents the secondary sub-channel of the i-th search and rescue team; m is the number of search and rescue teams. The i-th secondary sub-channel is sequentially designated as the target sub-channel; The operational risk value k of the target sub-channel at the current update time node is generated based on the monitoring data packets; k=[ β z v z ]; Where θ1 represents the number of risk assessment indicators; β z v is the influencing factor of the z-th risk assessment indicator; z It is a reference value for the z-th risk assessment indicator generated based on the monitoring data packet; Preset operational risk threshold K1; If k > K1, generate the first-level correction instruction for the target sub-channel; Check sequentially whether to generate a first-level correction command for each second-level sub-channel.

[0054] Specifically, the operational risk threshold can be set based on historical parameters.

[0055] Specifically, when the operating value of the target sub-channel exceeds the preset operating risk threshold, it indicates that the amount of emergency information in the target sub-channel exceeds the expected carrying capacity. In this case, the mapping sub-region corresponding to the current target sub-channel needs to be segmented to generate a new search and rescue group and a secondary sub-channel, thereby avoiding communication delays caused by the target sub-channel and ensuring the overall search and rescue efficiency.

[0056] Specifically, risk assessment indicators include, but are not limited to, parameters affecting communication efficiency such as the extent to which emergency information exchange volume exceeds expectations and the number of new user terminals added to the target sub-channel during the current update cycle. By quantifying each risk assessment indicator to ensure they fall within the same value range, the greater the actual impact of each indicator's corresponding parameter on communication efficiency, the larger the value of the corresponding influencing factor. For example, the greater the exceedance of information exchange volume, the larger the corresponding risk assessment indicator value; similarly, the greater the increase in new users, the larger the corresponding risk indicator value.

[0057] Specifically, determining whether to generate a correction instruction for the search and rescue team also includes: Generate the update evaluation value w for the current update time point; w=g [ λ ε j ε ]; g=U2 [ k i ]; Where θ2 is the number of load indicators for the primary connection channels; λ ε The ε-th load index of the primary connection channel is the influencing factor; j ε The risk value of the ε-th load indicator in the primary connection channel at the current update time; g is the load risk correction coefficient; U2 is the preset second conversion coefficient; m is the number of search and rescue teams; k i The operational risk value of the secondary sub-channel of the i-th search and rescue team at the current update time. Preset update evaluation value threshold W1; If w > W1, a secondary correction instruction is generated at the current update time node.

[0058] Specifically, load metrics include, but are not limited to, parameters affecting communication efficiency such as the amount of emergency information within the primary connection channel and the number of new user terminals. These load metrics are quantified to ensure they fall within a uniform value range. Furthermore, the greater the interference of real-time load metrics on communication efficiency (i.e., the greater the deviation between the actual and expected values ​​of communication efficiency), the greater the corresponding risk.

[0059] Specifically, the influence factors of each load indicator can be set according to their degree of impact on communication efficiency. The greater the degree of impact, the larger the value of the corresponding influence factor.

[0060] Specifically, by presetting a second conversion coefficient, the load risk correction coefficient g is kept within a preset value range. k iThe larger the value of ], the larger the corresponding load risk correction coefficient g will be, and the value of load risk correction coefficient g will always be greater than 1.

[0061] Specifically, the threshold for updating the evaluation value can be set based on historical parameters.

[0062] Specifically, based on the Level 2 correction instructions, the expected disaster area is reassessed, and search and rescue teams and corresponding Level 2 sub-channels are established in the newly added areas to reduce the amount of emergency information exchange within the Level 1 connection channel and ensure overall search and rescue efficiency.

[0063] It is understandable that in the above embodiments, by analyzing emergency information in a single sub-region, a targeted rescue strategy is generated, and a dedicated communication channel is used to send the information in a targeted manner to avoid communication congestion caused by irrelevant terminals receiving information. Furthermore, by periodically adjusting the search and rescue team parameters, communication delays in various communication channels are avoided, thereby improving the success rate of the rescue.

[0064] In another preferred embodiment of the emergency information intelligent interaction method based on any of the above preferred embodiments, this preferred embodiment provides an emergency information intelligent interaction method, which includes: The search and rescue unit is used to establish a database of emergencies based on historical emergency data. The emergency platform is used to obtain initial emergency information through a primary connection channel; The emergency platform includes: The first processing module is used to set up event groups based on the preprocessing results of the initial emergency information; The second processing module is used to set up multiple search and rescue groups according to the event group; The matching module is used to set the interaction links between each user terminal and the emergency platform according to the settings of all search and rescue teams; The update module is used to obtain monitoring data packets according to preset update time nodes, and determine whether to generate correction instructions for the search and rescue team based on the monitoring data packets; The search and rescue unit includes: The first processing module is used to generate multiple emergency sub-events based on historical emergency data; Establish a sequence A of sudden sub-events, A=(a1, a2, ..., a... t …a n ), where a t Let t be the t-th sudden sub-event; n is the number of sudden sub-events; The second processing module is used to set search and rescue sub-strategies for each emergency sub-event and to build an emergency event database based on all search and rescue sub-strategies.

[0065] Specifically, the second processing module is also used for: Generate the association values ​​between the event group and each search and rescue sub-strategy; Establish a sequence of related values ​​B, B=(b1, b2, ..., bb2). t …b n ), where b t is the association value between the event group and the search and rescue sub-strategy of the t-th emergency sub-event; n is the number of emergency sub-events; Preset correlation threshold B1; If b t >B1, Set the search and rescue sub-strategy corresponding to the t-th sudden sub-event as the associated sub-strategy; Generate a primary search and rescue strategy for the event group based on all associated sub-strategies; Multiple search and rescue teams are generated based on the primary search and rescue strategy, creating event groups.

[0066] According to the first concept of this application, by identifying valuable content in the initial emergency information, the type of emergency and the expected disaster area can be quickly determined. Based on the analysis results, multiple search and rescue teams are constructed, the disaster area is divided into multiple sub-regions, and by establishing dedicated communication channels for each sub-region, communication optimization is performed on massive amounts of emergency information to improve the efficiency of emergency information interaction.

[0067] According to the second concept of this application, by analyzing emergency information in a single sub-region, a targeted rescue strategy is generated, and the strategy is transmitted in a targeted manner through a dedicated communication channel to avoid communication congestion caused by irrelevant terminals receiving information. Furthermore, by periodically adjusting the parameters of the search and rescue team, communication delays in various communication channels are avoided, thereby improving the success rate of the rescue.

[0068] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and substitutions can be made without departing from the technical principles of this application, and these improvements and substitutions should also be considered within the scope of protection of this application.

Claims

1. An intelligent interactive method for emergency information, characterized in that, include: The emergency platform obtains initial emergency information through a primary connection channel and sets up event groups based on the preprocessing results of the initial emergency information. Multiple search and rescue teams are set up according to the event group, and the interaction links between each user terminal and the emergency platform are set up according to all search and rescue teams; The monitoring data packets are obtained according to the preset update time nodes, and the correction instructions for the search and rescue team are determined based on the monitoring data packets. Based on the initial emergency information, event groups are set up, including: Multiple emergency sub-events are generated based on historical emergency data; Establish a sequence A of sudden sub-events, A=(a1, a2, ..., a... t …a n ), where a t Let t be the t-th sudden sub-event; n is the number of sudden sub-events; Set search and rescue sub-strategies for each emergency sub-event, and establish an emergency event database based on all search and rescue sub-strategies; Generate event feature packages based on the preprocessing results of initial emergency information; Determine the correlation between the event feature package and the sequence of sudden sub-events, and set up event groups based on the determination results; The establishment of multiple search and rescue teams based on the event group includes: Generate the association values ​​between the event group and each search and rescue sub-strategy; Establish a sequence of related values ​​B, B=(b1, b2, ..., bb2). t …b n ), where b t is the association value between the event group and the search and rescue sub-strategy of the t-th emergency sub-event; n is the number of emergency sub-events; Preset correlation threshold B1; If b t >B1, Set the search and rescue sub-strategy corresponding to the t-th sudden sub-event as the associated sub-strategy; Generate a primary search and rescue strategy for the event group based on all associated sub-strategies; Establish a search and rescue team sequence P, P=(p1, p2…p i …p m ), where p i Let m be the i-th search and rescue team; m is the number of search and rescue teams. Based on the search and rescue team sequence P, p is set sequentially. i Search and rescue team for the target; Generate the mapping sub-region for the search and rescue team; Define the uplink and downlink for the target search and rescue team; Establish a secondary sub-channel for the target search and rescue team based on the uplink and downlink; The mapping sub-regions and secondary sub-channels for each search and rescue team are generated sequentially. The determination of whether to generate a correction instruction for the search and rescue team includes: Obtain the monitoring data packet for the current update time point; Establish a two-level sub-channel sequence D, D=(d1, d2…d…) i …d m ), where d i This represents the secondary sub-channel of the i-th search and rescue team; m is the number of search and rescue teams. The i-th secondary sub-channel is sequentially designated as the target sub-channel; The operational risk value k of the target sub-channel at the current update time node is generated based on the monitoring data packets; ; Where θ1 represents the number of risk assessment indicators; β z v is the influencing factor of the z-th risk assessment indicator; z It is a reference value for the z-th risk assessment indicator generated based on the monitoring data packet; Preset operational risk threshold K1; If k > K1, generate the first-level correction instruction for the target sub-channel; Check sequentially whether to generate a first-level correction command for each second-level sub-channel.

2. The emergency information intelligent interaction method as described in claim 1, characterized in that, Configure the interaction links between each user terminal and the emergency platform, including: Obtain the mapping sub-regions of all search and rescue teams, and generate matching signals for each mapping sub-region; Generate a communication coverage area based on all mapped sub-regions; Establish a matched signal sequence H, H=(h1,h2…h i …h m ), where h i Let m be the matching signal within the mapped sub-region of the i-th search and rescue group; m is the number of search and rescue groups. Establish a sequence of user terminals C, C=(c1, c2, ..., c3). q …c r ), where c q Let q be the q-th user terminal; r is the number of user terminals; c is set sequentially according to the user terminal sequence C. q For the target terminal; Determine whether the target terminal is within the communication coverage area; If the target terminal is not within the communication coverage area, set the interaction link between the target terminal and the emergency platform as the primary connection channel; If it is within the communication coverage area, the matching signal obtained by the target terminal is set as the first-level matching signal; When the first-level matching signal is the matching signal h i At that time, the interaction link between the target terminal and the emergency platform is set as the secondary sub-channel of the i-th search and rescue group; The target terminal acquires the matching signal, including: Initiate the matching mode on the target terminal; When a single matching signal is received, the matching mode of the target terminal is turned off.

3. The emergency information intelligent interaction method as described in claim 2, characterized in that, Preset update time points, including: A monitoring and evaluation value f is generated based on all interaction links; ； Where η is the compensation coefficient; s i Let be the expected load value of the i-th secondary sub-channel; s' be the load value threshold; Y(i) be the selection coefficient; if (s i -s')>0, Y(i)=1; if (s i -s')<0, Y(i)=0; U1 is the preset first conversion coefficient; e is the correction coefficient set based on the number of primary connection channels for the interactive link; m is the number of search and rescue teams; The duration of a single update cycle is set based on the monitoring and evaluation value f, and multiple update time nodes are set based on the duration of the update cycle.

4. The emergency information intelligent interaction method as described in claim 3, characterized in that, Determining whether to generate a correction instruction for the search and rescue team also includes: Generate the update evaluation value w for the current update time point; Where θ2 is the number of load indicators for the primary connection channels; λ ε The ε-th load index of the primary connection channel is the influencing factor; j ε The risk value of the ε-th load indicator in the primary connection channel at the current update time; g is the load risk correction coefficient; U2 is the preset second conversion coefficient; m is the number of search and rescue teams; k i The operational risk value of the secondary sub-channel of the i-th search and rescue team at the current update time. Preset update evaluation value threshold W1; If w > W1, a secondary correction instruction is generated at the current update time node.

5. An emergency information intelligent interaction system, employing the emergency information intelligent interaction method according to any one of claims 1-4, characterized in that, include: The search and rescue unit is used to establish a database of emergencies based on historical emergency data. The emergency platform is used to obtain initial emergency information through a primary connection channel; The emergency platform includes: The first processing module is used to set up event groups based on the preprocessing results of the initial emergency information; The second processing module is used to set up multiple search and rescue groups according to the event group; The matching module is used to set the interaction links between each user terminal and the emergency platform according to the settings of all search and rescue teams; The update module is used to obtain monitoring data packets according to preset update time nodes, and determine whether to generate correction instructions for the search and rescue team based on the monitoring data packets; The search and rescue unit includes: The first processing module is used to generate multiple emergency sub-events based on historical emergency data; Establish a sequence A of sudden sub-events, A=(a1, a2, ..., a... t …a n ), where a t Let t be the t-th sudden sub-event; n is the number of sudden sub-events; The second processing module is used to set search and rescue sub-strategies for each emergency sub-event and to build an emergency event database based on all search and rescue sub-strategies.

6. The emergency information intelligent interaction system as described in claim 5, characterized in that, The second processing module is also used for: Generate the association values ​​between the event group and each search and rescue sub-strategy; Establish a sequence of related values ​​B, B=(b1, b2, ..., bb2). t …b n ), where b t is the association value between the event group and the search and rescue sub-strategy of the t-th emergency sub-event; n is the number of emergency sub-events; Preset correlation threshold B1; If b t >B1, Set the search and rescue sub-strategy corresponding to the t-th sudden sub-event as the associated sub-strategy; Generate a primary search and rescue strategy for the event group based on all associated sub-strategies; Multiple search and rescue teams are generated based on the primary search and rescue strategy, creating event groups.

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