Sick and wounded information wireless transmission method and system for emergency rescue

Abstract

The invention provides a wireless sick and wounded information transmission method and system for emergency rescue. The method comprises the following steps: receiving basic information and real-time vital sign data through a plurality of on-site first-aid devices, and generating a state summary of the sick and wounded; based on the state summary of the sick and wounded, performing time sequence development trend prediction by applying a priority dynamic adjustment algorithm, accurately analyzing geographic positions and medical resource distribution by adopting a geographic information system technology, and generating a priority information packet; based on the priority information packet, performing encryption processing by applying a homomorphic encryption algorithm, executing aggregation operation, and dynamically adjusting a transmission strategy according to a real-time network condition by adopting an adaptive network transmission technology to generate a secure transmission scheme; and based on the secure transmission scheme, starting a continuous monitoring mechanism to track the state change of the sick and wounded, and generating a sick and wounded information wireless transmission scheme. According to the technical scheme provided by the invention, efficient and accurate information transmission in emergency rescue is ensured, and the overall efficiency of emergency rescue is enhanced.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of emergency communication technology, and more particularly to a method and system for wirelessly transmitting information of injured and sick persons for emergency rescue. Background Art

[0002] With the continuous development of modern emergency rescue systems, information transmission and processing technologies play an increasingly important role in improving rescue efficiency and optimizing resource allocation. Especially in emergency medical rescue scenarios, quickly and accurately obtaining and transmitting the vital signs data of the injured and sick is crucial to saving lives. In emergency rescue scenarios, on-site first aid equipment needs to be able to receive and integrate the basic information and vital signs data of the injured and sick in real time, have real-time monitoring functions, continuously track changes in the status of the injured and sick, predict time series development trends through priority adjustment, and accurately analyze the distribution of medical resources.

[0003] At present, many emergency rescue systems have adopted some advanced technologies and methods to process the information of the injured and sick. The basic information and vital signs of the injured and sick are collected through the on-site first aid equipment and transmitted to the command center through the wireless network. Some systems use static scoring models to make a preliminary assessment of the conditions of the injured and sick to determine the rescue order. Some systems use traditional encryption technology to protect data privacy, but the ability to perform aggregate operations without decryption is limited.

[0004] Although the existing solutions have met the needs of emergency rescue to a certain extent, there are still some significant deficiencies. The data transmission speed and reliability of the existing system are low, especially in complex environments, which may cause information delay or loss, affecting the timeliness and accuracy of rescue decisions, and inefficient information transmission in emergency rescue; the static scoring model cannot flexibly respond to the dynamic changes in the status of the injured and sick, and it is difficult to achieve accurate priority adjustment and resource allocation; although traditional encryption technology guarantees data privacy, it is insufficient to perform necessary aggregation operations without decryption, which limits the depth and breadth of data analysis and reduces the availability of data. Summary of the invention

[0005] The embodiments of the present application provide a method and system for wirelessly transmitting information of the injured and sick for emergency rescue, so as to solve the problem of inefficient information transmission in emergency rescue in the prior art.

[0006] In a first aspect, an embodiment of the present application provides a method for wirelessly transmitting information of injured and sick persons for emergency rescue, comprising:

[0007] Through multiple on-site emergency equipment, the basic information and real-time vital signs data of the injured and sick are received and integrated to generate a summary of the status of the injured and sick;

[0008] Based on the summary of the patient's status, a priority dynamic adjustment algorithm is used to carefully analyze the frequency and severity of changes in the patient's vital signs, predict the time series development trend, and use geographic information system technology to accurately analyze the geographical location and medical resource distribution to generate a priority information package;

[0009] Based on the priority information packet, a homomorphic encryption algorithm is used for encryption processing, allowing aggregation operations to be performed without decryption to ensure data privacy and availability, and an adaptive network transmission technology is used to dynamically adjust the transmission strategy according to the real-time network status to generate a secure transmission solution;

[0010] Based on the secure transmission scheme, decryption processing is performed at the receiving end, and a continuous monitoring mechanism is started to track changes in the status of the injured and sick, and a wireless transmission scheme for the information of the injured and sick is generated.

[0011] Optionally, based on the patient status summary, a priority dynamic adjustment algorithm is used to carefully analyze the frequency and severity of changes in the patient's vital signs, predict the time series development trend, and use geographic information system technology to accurately analyze the geographical location and medical resource distribution to generate a priority information package, including:

[0012] Based on the patient status summary, comprehensively evaluate and process the patient's vital sign data and environmental background information to generate a preliminary priority score;

[0013] Based on the preliminary priority score, a priority dynamic adjustment algorithm is used to combine the historical data and current status of the injured and sick, and the frequency and severity of changes in the vital signs of the injured and sick are carefully analyzed to generate an optimized priority score;

[0014] Based on the optimization priority score, the location information of the injured and sick is accurately processed using geographic information system technology, the distribution of surrounding medical resources is analyzed to determine the optimal rescue path, and a geographic location analysis report is generated;

[0015] Based on the geographic location analysis report, the optimization priority score is deeply integrated to generate a priority information package.

[0016] Optionally, based on the preliminary priority score, a priority dynamic adjustment algorithm is used, historical data and current status of the patient are combined, and the frequency and severity of changes in the patient's vital signs are carefully analyzed to generate an optimized priority score, including:

[0017] Based on the preliminary priority score, a comprehensive comparison is performed between the historical vital sign data of the patient and the current status, abnormal changes are identified, and a status difference report is generated;

[0018] Based on the status difference report, a priority dynamic adjustment algorithm is used to quantify the frequency of changes in the patient's physical signs in different time periods, and different dynamic weight factors are assigned according to the severity of the changes to reflect the development trend of the disease and generate a change frequency and severity assessment;

[0019] Based on the frequency and severity assessment of the changes, combined with the historical priority scores of the patients and the preliminary priority scores, the overall urgency is comprehensively reassessed to generate a comprehensive urgency assessment;

[0020] Based on the comprehensive urgency assessment, parameters are regularly updated to adapt to changing actual conditions, and all assessment results are integrated to generate an optimized priority score.

[0021] Optionally, based on the optimization priority score, geographic information system technology is used to accurately process the location information of the injured and sick, analyze the distribution of surrounding medical resources, so as to determine the optimal rescue path, and generate a geographic location analysis report, including:

[0022] Based on the optimization priority score, the location information of the injured and sick is accurately collected and processed to obtain the current latitude and longitude coordinates of the injured and sick, and combined with high-precision map data to generate precise positioning data;

[0023] Based on the precise positioning data, using geographic information system technology, a detailed analysis of the geographical environment where the injured and sick are located is conducted, taking into account the topography and road network, to generate a geographical environment assessment;

[0024] Based on the geographical environment assessment and in combination with the optimization priority score, the distribution of surrounding medical resources is analyzed, the service capacity and current load of nearby medical institutions are evaluated, and a medical resource distribution map is generated;

[0025] Based on the medical resource distribution map, the path planning method is used to simulate the changes in traffic flow in different time periods, predict potential traffic bottlenecks, and generate a geographical location analysis report.

[0026] Optionally, the priority information packet is encrypted using a homomorphic encryption algorithm, allowing aggregation operations to be performed without decryption to ensure data privacy and availability, using adaptive network transmission technology to dynamically adjust the transmission strategy according to real-time network conditions, and generating a secure transmission solution, including:

[0027] Based on the priority information package, a comprehensive assessment is conducted on the comprehensive information of the injured and sick, and possible missing data is supplemented by verification to ensure the accuracy and completeness of the information and generate an optimized information package;

[0028] Based on the optimized information package, a homomorphic encryption algorithm is used to ensure that the data is kept encrypted during transmission and storage, allowing necessary aggregation operations to be performed without decryption, ensuring data privacy and availability, and generating an encrypted information package;

[0029] Based on the encrypted information packets, adaptive network transmission technology is used to monitor network bandwidth and packet loss rate parameters in real time, analyze network connection quality and stability, and generate a network status assessment report;

[0030] Based on the network status assessment report and in combination with the characteristics of the encrypted information packet, data segmentation processing is performed, a retransmission mechanism is constructed, the reliability and integrity of information transmission is ensured, and a secure transmission plan is generated.

[0031] Optionally, based on the optimized information package, a homomorphic encryption algorithm is used to ensure that the data is kept encrypted during transmission and storage, allowing necessary aggregation operations to be performed without decryption, ensuring data privacy and availability, and generating an encrypted information package, including:

[0032] Based on the optimized information package, the comprehensive information of the injured and sick is comprehensively checked and verified, and a verification information package is generated through data integrity check and logic consistency check;

[0033] Based on the verification information package, a homomorphic encryption algorithm is used to perform encryption processing to ensure that the encryption state is maintained during data transmission and storage, select an appropriate key length and encryption mode, support the execution of necessary aggregation operations without decryption, and generate a preliminary encrypted information package;

[0034] Based on the preliminary encrypted information package, encryption strength and performance evaluation is performed, computing power and response time are tested by simulating computing requirements in different scenarios, and a performance optimization information package is generated;

[0035] Based on the performance optimization information package, metadata tags are added in combination with actual application requirements to facilitate subsequent decryption processing and generate encrypted information packages.

[0036] Optionally, the secure transmission scheme is based on which the receiving end performs decryption processing, starts a continuous monitoring mechanism to track the change of the status of the injured and sick, and generates a wireless transmission scheme for the information of the injured and sick, including:

[0037] Based on the secure transmission scheme, the encrypted information packet is decrypted at the receiving end, and the same key as the sending end is used to perform a reverse operation with the homomorphic encryption algorithm to generate a decrypted information packet;

[0038] Based on the decrypted information package, a continuous monitoring mechanism is initiated, and intelligent sensors and monitoring equipment are used to track the changes in vital signs data and geographic location information of the injured and sick in real time, and generate a real-time status update report;

[0039] Based on the real-time status update report, the urgency is reassessed according to the frequency and severity of changes in the vital signs of the injured and sick, combined with geographical environmental factors, and a status change assessment report is generated;

[0040] Based on the status change assessment report and combined with the latest medical resource distribution situation, an additional emergency resource scheduling backup plan is configured to generate a wireless transmission plan for the injured and sick person information.

[0041] In a second aspect, an embodiment of the present application provides a wireless transmission system for information of injured and sick persons for emergency rescue, comprising:

[0042] A receiving module is used to receive and integrate basic information and real-time vital signs data of the injured and sick through multiple on-site emergency equipment to generate a summary of the status of the injured and sick;

[0043] A prediction module is used to analyze the frequency and severity of changes in the vital signs of the injured and sick based on the summary of the patient's status, apply a priority dynamic adjustment algorithm, make a time series development trend forecast, use geographic information system technology to accurately analyze the geographical location and medical resource distribution, and generate a priority information package;

[0044] An encryption module, used to perform encryption processing based on the priority information packet using a homomorphic encryption algorithm, allowing aggregation operations to be performed without decryption to ensure data privacy and availability, using adaptive network transmission technology to dynamically adjust the transmission strategy according to real-time network conditions, and generate a secure transmission solution;

[0045] The decryption module is used to perform decryption processing through the receiving end based on the secure transmission scheme, start a continuous monitoring mechanism to track changes in the status of the injured and sick, and generate a wireless transmission scheme for the information of the injured and sick.

[0046] In a third aspect, an embodiment of the present application provides a computing device, comprising a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a method for wireless transmission of information of injured and sick persons for emergency rescue as described in the first aspect.

[0047] In a fourth aspect, an embodiment of the present application provides a computer storage medium storing a computer program. When the computer program is executed by a computer, a method for wirelessly transmitting information of injured and sick persons for emergency rescue as described in the first aspect is implemented.

[0048] In an embodiment of the present application, basic information of the injured and sick and real-time vital signs data are received and integrated through multiple on-site emergency rescue equipment to generate a summary of the status of the injured and sick; based on the summary of the status of the injured and sick, a priority dynamic adjustment algorithm is used to carefully analyze the frequency and severity of changes in the vital signs of the injured and sick, and a time series development trend forecast is performed; geographic information system technology is used to accurately analyze the geographical location and medical resource distribution to generate a priority information package; based on the priority information package, encryption processing is performed using a homomorphic encryption algorithm to allow aggregation operations to be performed without decryption to ensure data privacy and availability, and adaptive network transmission technology is used to dynamically adjust the transmission strategy according to the real-time network status to generate a secure transmission plan; based on the secure transmission plan, decryption processing is performed by the receiving end, and a continuous monitoring mechanism is started to track changes in the status of the injured and sick, and a wireless transmission plan for the information of the injured and sick is generated. The information of the wounded and sick is collected and integrated through multiple devices to ensure the comprehensiveness and accuracy of the data; based on the summary of the status of the wounded and sick, the priority dynamic adjustment algorithm is used to analyze the frequency and severity of changes in vital signs, and the time series development trend is predicted, which helps to optimize rescue decisions and improve rescue efficiency; the geographic information system technology is used to accurately analyze the geographical location and distribution of medical resources, generate priority information packages, ensure the selection of the optimal rescue path, and improve resource utilization efficiency; encryption processing is performed through the homomorphic encryption algorithm, allowing aggregation operations to be performed without decryption, ensuring data privacy and availability; the adaptive network transmission technology is used to dynamically adjust the transmission strategy according to the real-time network status, generate a secure transmission plan, and ensure the security and reliability of information transmission; through decryption processing at the receiving end, a continuous monitoring mechanism is initiated to track changes in the status of the wounded and sick, ensuring the timeliness and effectiveness of the rescue operation.

[0049] Furthermore, the vital signs data and environmental background information of the wounded and sick are comprehensively evaluated and processed to generate preliminary priority scores, ensuring the scientificity and rationality of the scores; the priority dynamic adjustment algorithm is used, combined with the historical data and current status of the wounded and sick, and the frequency and severity of vital signs changes are carefully analyzed to generate optimized priority scores, which improves the accuracy and timeliness of the scores; geographic information system technology is used to accurately process the location information of the wounded and sick, analyze the distribution of surrounding medical resources, and determine the optimal rescue path, ensuring the optimality and efficiency of the rescue path selection; the priority scores are deeply integrated and optimized to generate priority information packages, ensuring the integrity and authority of the information packages, and providing a reliable basis for subsequent rescue operations.

[0050] Furthermore, a comprehensive assessment is made on the comprehensive information of the wounded and sick, and the possible missing data is supplemented by verification to ensure the accuracy and completeness of the information, generate optimized information packages, and lay a solid foundation for subsequent encryption processing; the homomorphic encryption algorithm is used to ensure that the data transmission and storage process remains encrypted, allowing necessary aggregation operations without decryption, ensuring data privacy and availability, and improving data security; adaptive network transmission technology is used to monitor network bandwidth and packet loss rate parameters in real time, analyze network connection quality and stability, and generate network status assessment reports to ensure the scientific nature and pertinence of the transmission strategy; based on the network status assessment report and combined with the characteristics of encrypted information packets, data segmentation is performed and a retransmission mechanism is constructed to ensure the reliability and integrity of information transmission and improve the overall transmission efficiency and stability; the final generated secure transmission plan not only includes specific transmission paths and strategies, but also stipulates emergency response measures to deal with possible emergencies, ensuring the continuity and reliability of information transmission, and providing strong technical support for emergency rescue.

[0051] These and other aspects of the present application will become more clearly understood in the description of the following embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0053] Figure 1 A flowchart of a method for wirelessly transmitting information of injured and sick persons for emergency rescue provided in an embodiment of the present application;

[0054] Figure 2 A schematic diagram of the structure of a wireless transmission system for information of the wounded and sick for emergency rescue provided in an embodiment of the present application;

[0055] Figure 3 A schematic diagram of the structure of a computing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0057] In some of the processes described in the specification and claims of this application and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0058] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0059] Figure 1 A flowchart of a method for wirelessly transmitting information of injured and sick persons for emergency rescue is provided in an embodiment of the present application, such as Figure 1 As shown, the method includes:

[0060] 101. Receive and integrate basic information and real-time vital signs data of the injured and sick through multiple on-site emergency equipment to generate a summary of the status of the injured and sick;

[0061] In this step, basic information includes but is not limited to static data such as name, age, gender, and medical history. These data are used to comprehensively describe the identity background and personal medical history of the injured and sick, ensuring that rescue personnel understand the overall condition of the injured and sick.

[0062] Real-time vital signs data covers dynamic parameters such as heart rate, blood pressure, blood oxygen saturation, body temperature, etc., reflecting the immediate health status of the injured and sick. These data are used to assess the current physical functions and potential risks of the injured and sick.

[0063] On-site first aid equipment can be portable medical monitoring instruments, such as smart bracelets, portable electrocardiographs, blood glucose meters, etc. These devices can continuously collect and upload the vital signs data of the injured and sick to ensure the real-time and accuracy of the data.

[0064] The summary of the status of the injured and sick is a report generated after summarizing and preliminarily analyzing all collected data. The summary not only contains the latest vital signs data, but also includes historical trend analysis, helping rescuers quickly understand the overall health status of the injured and sick, providing a basis for subsequent processing.

[0065] In an embodiment of the present application, assuming that at an earthquake rescue site, first, on-site emergency personnel use portable medical monitoring devices (such as smart bracelets, portable electrocardiographs) to collect vital signs data of the injured; secondly, these devices are connected to the central processing unit via Bluetooth or Wi-Fi, and the data is uploaded to the cloud server; thirdly, the server uses big data analysis technology to clean, deduplicate and integrate data from multiple devices to ensure data consistency and accuracy; finally, the system generates a summary of the status of the injured, which not only contains the latest vital signs data, but also includes historical trend analysis to help rescue personnel quickly understand the overall situation of the injured.

[0066] 102. Based on the summary of the patient's status, use a priority dynamic adjustment algorithm to carefully analyze the frequency and severity of changes in the patient's vital signs, make a time series development trend forecast, use geographic information system technology to accurately analyze the geographical location and medical resource distribution, and generate a priority information package;

[0067] In this step, the priority dynamic adjustment algorithm is a mathematical model that can evaluate the development trend of the disease based on the historical data and current status of the injured and sick, and dynamically adjust their rescue priority scores. The algorithm ensures that rescue resources can be optimally allocated according to actual needs.

[0068] The frequency of vital sign changes refers to the number of times or rate at which the vital sign parameters (such as heart rate, blood pressure, blood oxygen saturation, body temperature, etc.) of the injured or sick person change within a specific time period.

[0069] Time series development trend forecasting uses time series analysis methods to predict changes in the vital signs of the injured and sick in the future. This forecast helps to prepare response measures in advance and improve rescue efficiency.

[0070] Geographic information system technology is used to accurately analyze the geographical location of the wounded and sick and the distribution of medical resources in their surrounding areas, determine the optimal rescue route, and combine map data and spatial analysis functions to provide a scientific basis for rescue operations.

[0071] The priority information package integrates the above analysis results to provide guidance for rescue operations. The information package not only contains the priority scores of the injured and sick, but also provides detailed rescue route recommendations to ensure the efficient use of rescue resources.

[0072] In an embodiment of the present application, assuming that in a traffic accident rescue, first, the system uses a machine learning model to predict the development trend of the disease in the future based on the vital signs data in the status summary of the injured person; secondly, based on the historical medical history and current status of the injured person, the rescue priority score is dynamically adjusted; thirdly, the geographic information system analyzes the location of the injured person and the distribution of surrounding medical resources such as hospitals and first aid stations to determine the optimal rescue path; finally, the system generates a priority information package, which not only includes the priority score of the injured person, but also provides detailed rescue path recommendations to guide the dispatch of emergency vehicles and medical staff.

[0073] Optionally, in step 102, based on the summary of the status of the injured and sick, a priority dynamic adjustment algorithm is used to carefully analyze the frequency and severity of changes in the vital signs of the injured and sick, and a time series development trend forecast is made. The geographic information system technology is used to accurately analyze the geographical location and the distribution of medical resources, and a priority information package is generated, including: based on the summary of the status of the injured and sick, a comprehensive evaluation and processing of the vital signs data of the injured and sick and the environmental background information is performed to generate a preliminary priority score; based on the preliminary priority score, a priority dynamic adjustment algorithm is used, combined with the historical data and current status of the injured and sick, to carefully analyze the frequency and severity of changes in the vital signs of the injured and sick, and generate an optimized priority score; based on the optimized priority score, the geographic information system technology is used to accurately process the location information of the injured and sick, and the distribution of surrounding medical resources is analyzed to determine the optimal rescue path and generate a geographical location analysis report; based on the geographical location analysis report, the optimized priority score is deeply integrated to generate a priority information package.

[0074] In this step, vital sign data include but are not limited to dynamic parameters such as heart rate, blood pressure, blood oxygen saturation, and body temperature. These data are used to assess the current physical function and potential risks of the injured or sick.

[0075] Environmental background information includes geographical location, weather conditions, infrastructure at the accident site, etc. This information helps understand the impact of external factors on the injured and sick, ensuring that rescue decisions are more comprehensive.

[0076] The preliminary priority score is an initial score generated based on the above comprehensive assessment results. This score not only takes into account the frequency and severity of changes in the vital signs of the injured and sick, but also includes the impact of environmental background information, providing a basic basis for subsequent dynamic adjustments.

[0077] The optimized priority score is generated based on the preliminary priority score by further analyzing the historical data and current status of the injured and sick, especially the frequency and severity of changes in vital signs, to generate a more accurate score to better guide the allocation of rescue resources.

[0078] The geographic location analysis report is a detailed report generated based on geographic information system technology, which contains the specific location information of the injured and sick and the distribution of surrounding medical resources, helping to determine the optimal rescue route and improve rescue efficiency.

[0079] The optimal rescue path refers to the path with the shortest time, the least obstacles and the safest safety, which is selected after analysis through geographic information system technology, ensuring that emergency vehicles and medical personnel can quickly reach the location of the injured and provide timely assistance.

[0080] Firstly, a preliminary priority score is generated based on a comprehensive assessment of the vital signs data and environmental background information in the patient's status summary. Secondly, a dynamic priority adjustment algorithm is used to combine the patient's historical data with their current status to analyze the frequency and severity of changes in vital signs and generate an optimized priority score. Thirdly, geographic information system technology is used to accurately process the patient's location information, analyze the distribution of surrounding medical resources, determine the optimal rescue path, and generate a geographic location analysis report. Finally, the optimized priority score is deeply integrated to generate a priority information package.

[0081] Optionally, based on the preliminary priority score, a priority dynamic adjustment algorithm is used, combined with the patient's historical data and current status, to carefully analyze the frequency and severity of changes in the patient's vital signs to generate an optimized priority score, including: based on the preliminary priority score, a comprehensive comparison and processing of the patient's historical vital signs data and current status is performed to identify abnormal changes and generate a status difference report; based on the status difference report, a priority dynamic adjustment algorithm is used to quantify the frequency of changes in the patient's vital signs in different time periods, and different dynamic weight factors are assigned according to the severity of the changes to reflect the development trend of the disease, so as to generate a change frequency and severity assessment; based on the change frequency and severity assessment, combined with the patient's historical priority score and the preliminary priority score, the overall urgency is comprehensively reassessed to generate a comprehensive urgency assessment; based on the comprehensive urgency assessment, parameters are regularly updated to adapt to changing actual conditions, and all assessment results are integrated to generate an optimized priority score.

[0082] Based on the optimization priority score, the location information of the injured and sick is accurately processed by using geographic information system technology, and the distribution of surrounding medical resources is analyzed to determine the optimal rescue path and generate a geographic location analysis report, including: based on the optimization priority score, the location information of the injured and sick is accurately collected and processed, the current latitude and longitude coordinates of the injured and sick are obtained, and the precise positioning data is generated in combination with high-precision map data; based on the precise positioning data, the geographic information system technology is used to conduct a detailed analysis of the geographical environment of the location of the injured and sick, and the terrain and road network are comprehensively considered to generate a geographic environment assessment; based on the geographic environment assessment, combined with the optimization priority score, the distribution of surrounding medical resources is analyzed, the service capacity and current load of nearby medical institutions are evaluated, and a medical resource distribution map is generated; based on the medical resource distribution map, the path planning method is used to simulate traffic flow changes in different time periods, predict potential traffic bottlenecks, and generate a geographic location analysis report.

[0083] In this step, the status difference report is generated based on the preliminary priority score, after a comprehensive comparison of the historical vital signs data of the patient and the current status. It is used to identify abnormal changes. This report records in detail the changes in the patient's vital signs at different time points, helping to identify trends in worsening or improving conditions.

[0084] The frequency of changes in vital signs in different time periods refers to the development trend of the disease obtained by analyzing the rate of change of vital signs of the injured and sick in different time periods. Different dynamic weight factors are assigned according to the severity of the changes to reflect the development trend of the disease and ensure that the score can dynamically adapt to the actual situation.

[0085] The comprehensive urgency assessment combines the patient's historical priority score with the preliminary priority score to comprehensively reassess the overall urgency. This assessment not only takes into account the current frequency and severity of vital sign changes, but also combines the patient's historical priority score to ensure that the scoring results are more accurate and comprehensive.

[0086] Precise positioning data is obtained by accurately collecting and processing the location information of the injured and sick, including the current latitude and longitude coordinates of the injured and sick. These data are combined with high-precision maps to generate precise positioning data to ensure that rescue personnel can accurately find the location of the injured and sick.

[0087] High-precision map data refers to map data with high resolution and detailed geographic information, which usually contains accurate road networks, building outlines, topography and other information. This type of data can provide sub-meter or even centimeter-level accuracy, ensuring that rescue route planning is more accurate and reliable.

[0088] A geo-environmental assessment is a detailed analysis of the geographic environment where the patient is located, taking into account the topography and road network. This assessment helps determine the best rescue route and avoids potential traffic obstacles and delays.

[0089] The medical resource distribution map is a map generated based on geographic information system technology after analyzing the distribution of surrounding medical resources. It evaluates the service capacity and current load of nearby medical institutions to ensure that rescue operations can efficiently utilize existing resources.

[0090] In the embodiment of the present application, firstly, based on the preliminary priority score, the historical vital sign data of the patient and the current state are comprehensively compared and processed, abnormal changes are identified, and the priority dynamic adjustment algorithm is used to quantify the frequency of changes in the vital signs of the patient in different time periods, and different dynamic weight factors are assigned according to the severity of the changes to reflect the development trend of the disease, so as to generate a change frequency and severity assessment; secondly, based on the change frequency and severity assessment, combined with the historical priority score of the patient and the preliminary priority score, the overall urgency is comprehensively reassessed, the parameters are regularly updated to adapt to the changing actual situation, all the assessment results are integrated, and an optimized priority score is generated; thirdly, the location information of the patient is accurately collected and processed, the current latitude and longitude coordinates of the patient are obtained, combined with high-precision map data, and using geographic information system technology, the geographical environment of the patient's location is analyzed in detail, and the terrain and road network are comprehensively considered to generate a geographical environment assessment; finally, based on the geographical environment assessment, combined with the optimized priority score, the distribution of surrounding medical resources is analyzed, the service capacity and current load of nearby medical institutions are assessed, and the path planning method is used to simulate the changes in traffic flow in different time periods, predict potential traffic bottlenecks, and generate a geographical location analysis report.

[0091] Assuming that at a rescue site of a traffic accident in a mountainous area, first, based on the preliminary priority score, the historical vital signs data of the injured and sick are comprehensively compared with the current status, abnormal changes are identified, and the priority dynamic adjustment algorithm is used to quantify the frequency of changes in the vital signs of the injured and sick in different time periods. Different dynamic weight factors are assigned according to the severity of the changes to reflect the development trend of the disease and generate a change frequency and severity assessment; secondly, based on the change frequency and severity assessment, combined with the historical priority score of the injured and sick and the preliminary priority score, the overall urgency is comprehensively reassessed, the parameters are regularly updated to adapt to the changing actual situation, and all assessment results are integrated; thirdly, the location information of the injured and sick is accurately collected and processed, the current latitude and longitude coordinates of the injured and sick are obtained, combined with high-precision map data, and the geographic information system technology is used to conduct a detailed analysis of the geographical environment of the location of the injured and sick, and the terrain and road network are comprehensively considered to generate a geographical environment assessment; finally, based on the geographical environment assessment, combined with the optimization priority score, the distribution of surrounding medical resources is analyzed, the service capacity of nearby medical institutions is evaluated, and the traffic flow changes in different time periods are simulated through the path planning method to generate a geographical location analysis report.

[0092] This application takes into account that in the existing emergency rescue system, due to the lack of dynamic assessment of the frequency and severity of changes in the vital signs of the injured and sick, resource allocation is not accurate enough and the efficiency of rescue operations is low. Traditional methods often rely on static priority scores, which cannot reflect the dynamic changes in the condition of the injured and sick in a timely manner, thus affecting the scientificity and accuracy of rescue decisions. Therefore, the embodiment of the present invention proposes a further optional scheme, which aims to quantify the frequency of changes in the vital signs of the injured and sick in different time periods, and assign different dynamic weight factors according to the severity of the changes to reflect the development trend of the disease, thereby generating a change frequency and severity assessment.

[0093] Optionally, based on the status difference report, a priority dynamic adjustment algorithm is used to quantify the frequency of changes in the patient's physical signs in different time periods, and different dynamic weight factors are assigned according to the severity of the changes to reflect the development trend of the disease, and generate a change frequency and severity assessment, including:

[0094] Based on the status difference report, identify abnormal fluctuations and significant change time points through time series analysis;

[0095] Pay attention to the indicators that indicate worsening of the disease, apply smoothing filtering to reduce noise interference, and quantify the changes between each measurement through the difference method to generate the frequency of changes in physical signs;

[0096] The frequency of physical sign changes was calculated using the following formula:

[0097]

[0098] Where F(t) is the frequency of physical sign changes at time t; w i is the initial weight factor of the i-th sign parameter; x i (t) is the value of the i-th characteristic parameter at time t; x i (0) is the initial value of the i-th sign parameter; σ is the standard deviation used to measure the severity of the change; i is the index of the sign parameter, from 1 to n; n is the number of sign parameters; η is the time influence coefficient; T is the total time span; ρ is the time nonlinearity index; t is the time variable, indicating the time from the start of monitoring to the current moment;

[0099] Based on the frequency of changes in the physical signs, a dynamic weight factor is introduced, and dynamic adjustments are made according to the frequency and severity of changes in each physical sign parameter. A sine function is used to capture periodic fluctuations in the condition, which is used to evaluate the nonlinear development trend of the condition, so as to generate a condition development trend indicator;

[0100] The disease development trend index is calculated using the following formula:

[0101]

[0102] Where D(t) is the disease development trend indicator at time t; w i (t) is the dynamic weight factor of the i-th sign parameter at time t, which is adjusted over time to reflect the progression of the disease; α is the logarithmic amplification factor, which is used to emphasize slight but continuous changes; β is the amplitude coefficient of the sine function, which is used to simulate periodic disease fluctuations; γ is the period parameter of the sine function, which is used to adjust the fluctuation frequency; λ is the enhancement coefficient; δ is the enhancement nonlinear index; F(t) is the sign change frequency at time t; F max is the maximum sign change frequency in all time periods; τ is the time dispersion parameter; i is the index of the sign parameter, from 1 to n; n is the number of sign parameters; t is the time variable, indicating the time from the start of monitoring to the current moment; T is the total time span;

[0103] Based on the disease development trend indicators, combined with the latest medical resource distribution and rescue priority score, and comprehensive consideration of external factors, possible future change trends are predicted, and change frequency and severity assessments are generated.

[0104] This method aims to use time series analysis to identify abnormal fluctuations and significant change time points, generate the frequency of physical sign changes by quantifying the change between each measurement, use sinusoidal functions to capture periodic fluctuations in the disease, evaluate nonlinear development trends, and finally generate a comprehensive evaluation report. These steps work together to ensure the comprehensiveness and accuracy of the evaluation results and solve the problems existing in the existing technology.

[0105] In the frequency of physical sign changes, the severity of physical sign changes This part is used to measure the severity of the change of each vital sign parameter. Through the exponential decay function, it can effectively capture the significant changes of vital sign parameters in a short period of time, while reducing the impact of long-term stable state, making the evaluation results more sensitive and accurate; Time impact correction term: Consider the impact of time factors on changes in physical signs. As the monitoring time increases, this correction item gradually increases, reflecting the importance of time in the development of the disease. This item ensures the validity of long-term monitoring data and avoids the excessive impact of short-term fluctuations on the overall evaluation results.

[0106] Among them, w i Set from historical data and expert experience; x i (t) and x i (0) Read directly from real-time monitoring equipment; σ is calculated by the standard deviation of historical data; η and ρ are determined by experiments and simulations; T is the time from the start to the end of monitoring;

[0107] In the disease development trend indicators, the slight change amplification term α·ln(F(t)+1): This part emphasizes slight but continuous changes. Through logarithmic function processing, it can highlight those physical sign parameters that have small single changes but obvious cumulative effects, making the evaluation results more detailed and comprehensive; the periodic fluctuation capture term Simulating periodic fluctuations in disease conditions, the sine function is used to capture possible periodic change patterns, such as the circadian rhythm of respiratory rate or heart rate, which increases the flexibility and adaptability of the evaluation model; nonlinear enhancement items Enhance nonlinear features and consider temporal dispersion. This captures the complexity and uncertainty of disease progression through nonlinear exponential and Gaussian distribution functions, providing a more accurate assessment, especially when the disease changes rapidly.

[0108] Among them, w i (t) is the weight factor dynamically adjusted according to the frequency of changes in physical signs; α, β, γ, λ, δ, τ are determined through experiments and simulations; F(t) is calculated from the disease development trend index; F max It is determined by the maximum frequency of physical sign changes in all time periods; T is the length of time from the start to the end of monitoring;

[0109] Assume that at a typhoon disaster rescue site in a coastal area, in order to ensure the efficiency and accuracy of resource allocation, a hospital emergency center needs to dynamically evaluate the frequency and severity of changes in the vital signs of each patient; Assume that the patient's heart rate x1, blood pressure x2, and blood oxygen saturation x3 are three vital sign parameters, and the initial weight factors are w1=0.5, w2=0.3, w3=0.2, the monitoring time is 2 hours (T=7200 seconds), the standard deviation σ=4, the time influence coefficient η=0.9, and the time nonlinear index ρ=0.6; initial heart rate x1(0)=80 times / min initial blood pressure x2(0)=120 / 80mmHg; initial blood oxygen saturation x3(0)=98%; real-time heart rate x1(t)=90 times / min; real-time blood pressure x2(t)=130 / 90mmHg; real-time blood oxygen saturation x3(t)=95%

[0110]

[0111] Assume that the logarithmic amplification factor α = 0.85, the sine function amplitude coefficient β = 0.4, the period parameter γ = 0.8, the enhancement coefficient λ = 1.1, the enhancement nonlinear index δ = 0.7, the time dispersion parameter τ = 1200, and the maximum sign change frequency F max =1.2; real-time dynamic weight factors w1(t)=0.6, w2(t)=0.3, w3(t)=0.1;

[0112]

[0113] Assuming the threshold is set to 1.2, since the calculated result 1.35 is greater than the threshold, it indicates that the patient's current condition is rapidly deteriorating and further emergency measures need to be taken immediately. This is because the higher disease development trend index reflects that the patient's physical signs change more frequently and the severity is increasing, indicating that there is a risk of a sharp deterioration in their health status. Through the above steps, the accurate assessment and priority confirmation of the patient's resource needs are ensured, the scientificity and reliability of treatment decisions are improved, and the accuracy and response speed of the entire health monitoring system are enhanced.

[0114] 103. Based on the priority information packet, a homomorphic encryption algorithm is used for encryption processing, allowing aggregation operations to be performed without decryption to ensure data privacy and availability, and an adaptive network transmission technology is used to dynamically adjust the transmission strategy according to the real-time network status to generate a secure transmission plan;

[0115] Homomorphic encryption is an encryption method that allows aggregate operations such as summation and average calculation to be performed without decryption. This ensures a balance between data privacy and availability, allowing data to remain encrypted during transmission, but necessary calculations and analysis can still be performed without decryption.

[0116] Aggregation operations refer to the process of comprehensively processing multiple data points to generate one or more summary results. In the context of homomorphic encryption, this operation can be performed without decrypting the data, ensuring data privacy while maintaining its availability.

[0117] Adaptive network transmission technology dynamically adjusts transmission strategies according to real-time network conditions to cope with different network environments. By monitoring network bandwidth, packet loss rate and other parameters, the technology automatically selects the best transmission path and protocol to ensure the stability and efficiency of data transmission.

[0118] Real-time network status refers to various performance indicators of the current network environment, including but not limited to bandwidth, latency, packet loss rate, and network connection stability. These indicators reflect the network's ability and efficiency to transmit data.

[0119] The secure transmission solution includes selecting the best transmission path, protocol and emergency response measures to ensure the stability and efficiency of data transmission. The final secure transmission solution ensures the security and integrity of data during transmission and prevents information leakage or loss.

[0120] In an embodiment of the present application, assuming that in a rescue operation in a remote mountainous area, first, the system applies a homomorphic encryption algorithm to the sensitive data in the priority information packet to ensure the security of the data during transmission; secondly, the system dynamically adjusts the transmission strategy according to the real-time network conditions and selects the optimal transmission path and protocol; thirdly, the data remains encrypted during transmission, but the receiving end can directly perform aggregation operations without decryption, such as statistical averages or summation operations; finally, the system generates a secure transmission plan, which not only includes specific transmission paths and strategies, but also stipulates emergency response measures to deal with possible emergencies and ensure the continuity and reliability of information transmission.

[0121] Optionally, in step 103, based on the priority information packet, encryption processing is performed using a homomorphic encryption algorithm, allowing aggregation operations to be performed without decryption to ensure data privacy and availability, and using adaptive network transmission technology to dynamically adjust the transmission strategy according to the real-time network status to generate a secure transmission plan, including: based on the priority information packet, a comprehensive assessment of the comprehensive information of the injured and sick is performed, and possible missing data is supplemented by verification to ensure information accuracy and completeness, and generate an optimized information packet; based on the optimized information packet, a homomorphic encryption algorithm is used to ensure that the encryption state is maintained during data transmission and storage, allowing necessary aggregation operations to be performed without decryption, ensuring data privacy and availability, and generating an encrypted information packet; based on the encrypted information packet, an adaptive network transmission technology is used to monitor network bandwidth and packet loss rate parameters in real time, analyze network connection quality and stability, and generate a network status assessment report; based on the network status assessment report, combined with the characteristics of the encrypted information packet, data segmentation is performed, a retransmission mechanism is constructed, information transmission reliability and integrity are ensured, and a secure transmission plan is generated.

[0122] Among them, based on the optimization information package, the homomorphic encryption algorithm is used to ensure that the encryption state is maintained during data transmission and storage, and necessary aggregation operations are allowed without decryption to ensure data privacy and availability, and an encrypted information package is generated, including: based on the optimization information package, a comprehensive inspection and verification of the comprehensive information of the injured and sick is carried out, and a verification information package is generated through data integrity check and logical consistency check; based on the verification information package, encryption processing is performed using the homomorphic encryption algorithm to ensure that the encryption state is maintained during data transmission and storage, and an appropriate key length and encryption mode are selected to support the execution of necessary aggregation operations without decryption to generate a preliminary encrypted information package; based on the preliminary encrypted information package, encryption strength and performance evaluation is performed, and the computing power and response time are tested by simulating the computing requirements of different scenarios to generate a performance optimization information package; based on the performance optimization information package, metadata tags are added in combination with actual application requirements to facilitate subsequent decryption processing and generate an encrypted information package.

[0123] In this step, the optimized information package is generated after a comprehensive assessment of the comprehensive information of the injured and sick based on the priority information package. By verifying and supplementing the possible missing data, the accuracy and completeness of the information are ensured, providing a solid foundation for subsequent encryption processing.

[0124] The encrypted information packet is generated by encrypting the optimized information packet through the homomorphic encryption algorithm. It not only ensures the security of data transmission and storage, but also supports the execution of necessary aggregation operations without decryption, thereby ensuring data privacy and availability.

[0125] The network status assessment report is the analysis result of real-time monitoring of network bandwidth and packet loss rate parameters, reflecting the quality and stability of the current network connection. This report provides a scientific basis for adaptive network transmission technology to ensure the reliability and efficiency of data transmission.

[0126] Data fragmentation refers to dividing large blocks of data into smaller data fragments for more flexible management and transmission. This processing method combined with the retransmission mechanism ensures the reliability and integrity of information transmission, especially under poor network conditions.

[0127] The secure transmission solution is a complete data transmission strategy built based on network status assessment reports and the characteristics of encrypted information packets, including the selection of optimal transmission paths, protocols, and emergency response measures to ensure the security and integrity of data transmission.

[0128] The verification information package is generated after a comprehensive check and verification of the comprehensive information of the injured and sick on the basis of the optimization information package. It ensures the authenticity and reliability of the information through data integrity verification and logical consistency check.

[0129] The preliminary encrypted information packet is an information packet generated after encryption processing based on the verification information packet using the homomorphic encryption algorithm. It ensures that the encryption state remains during data transmission and storage, and selects the appropriate key length and encryption mode to support the execution of necessary aggregation operations without decryption.

[0130] The performance optimization information package is an information package generated after the encryption strength and performance evaluation of the preliminary encrypted information package. By simulating the computing requirements of different scenarios, the computing power and response time are tested to ensure the efficiency and response speed of the encrypted data in actual applications.

[0131] Metadata tags refer to additional information attached to encrypted information packets to facilitate subsequent decryption processing. These tags usually contain information such as data type, source, and purpose to help the receiving end quickly identify and process data.

[0132] In the embodiment of the present application, firstly, based on the priority information packet, a comprehensive evaluation is performed on the comprehensive information of the wounded and sick, and the possible missing data is supplemented by checking to ensure the accuracy and integrity of the information. The homomorphic encryption algorithm is used to ensure that the encryption state is maintained during the data transmission and storage process, and necessary aggregation operations are allowed without decryption to ensure data privacy and availability, and generate an encrypted information packet; secondly, based on the encrypted information packet, an adaptive network transmission technology is used to monitor the network bandwidth and packet loss rate parameters in real time, analyze the quality and stability of the network connection, and combine the characteristics of the encrypted information packet to perform data slicing processing, build a retransmission mechanism, ensure the reliability and integrity of information transmission, and generate a secure transmission solution; thirdly, based on the optimized information packet, a comprehensive inspection and verification is performed on the comprehensive information of the wounded and sick, and encryption processing is performed by using the homomorphic encryption algorithm through data integrity verification and logical consistency check to ensure that the encryption state is maintained during the data transmission and storage process, select an appropriate key length and encryption mode, support the execution of necessary aggregation operations without decryption, and generate a preliminary encrypted information packet; finally, based on the preliminary encrypted information packet, an encryption strength and performance evaluation is performed, and the computing power and response time are tested by simulating the computing requirements of different scenarios, and metadata tags are added in combination with actual application requirements to facilitate subsequent decryption processing and generate an encrypted information packet.

[0133] In the embodiment of the present application, it is assumed that at a fire rescue site in a high-rise building in a city, first, based on the priority information packet, a comprehensive assessment is conducted on the comprehensive information of the injured and sick, and the possible missing data is supplemented by verification to ensure the accuracy and integrity of the information. The homomorphic encryption algorithm is used to ensure that the encryption state is maintained during data transmission and storage, and necessary aggregation operations are performed to generate an encrypted information packet; secondly, based on the encrypted information packet, an adaptive network transmission technology is used to monitor the network bandwidth and packet loss rate parameters in real time, analyze the quality and stability of the network connection, and combine the characteristics of the encrypted information packet to perform data slicing processing, build a retransmission mechanism, and ensure the reliability and integrity of information transmission; based on the optimized information packet, a comprehensive inspection and verification is conducted on the comprehensive information of the injured and sick, and encryption processing is performed by using the homomorphic encryption algorithm through data integrity verification and logical consistency check to ensure that the encryption state is maintained during data transmission and storage, select an appropriate key length and encryption mode, support the execution of necessary aggregation operations without decryption, and generate a preliminary encrypted information packet; finally, based on the preliminary encrypted information packet, an encryption strength and performance evaluation is performed, and the computing power and response time are tested by simulating the computing requirements of different scenarios, and metadata tags are added in combination with actual application requirements to facilitate subsequent decryption processing and generate an encrypted information packet.

[0134] This application takes into account that in the existing emergency rescue system, the lack of effective measures to protect data security and privacy during the transmission of information of the wounded and sick leads to the risk of data leakage and tampering. Although traditional encryption methods can provide a certain degree of security, their efficiency and adaptability are often insufficient in complex and changeable rescue environments, and it is difficult to meet the requirements of real-time and high reliability. Therefore, the embodiment of the present invention proposes a further optional solution, which aims to perform encryption processing through a homomorphic encryption algorithm to ensure that the encryption state is maintained during data transmission and storage, and supports the execution of necessary aggregation operations without decryption to generate preliminary encrypted information packets.

[0135] Optionally, based on the verification information package, a homomorphic encryption algorithm is used for encryption processing to ensure that the data is kept encrypted during transmission and storage, an appropriate key length and encryption mode are selected, necessary aggregation operations are performed without decryption, and a preliminary encrypted information package is generated, including:

[0136] Based on the verification information package, evaluate the sensitivity of each data item and identify the importance and safety risks of key vital sign parameters;

[0137] Analyze the estimated data transmission time and the number of participating nodes to ensure that the encryption algorithm is effectively adapted to the actual application scenario requirements to generate the selected key length;

[0138] The selected key length is calculated using the following formula:

[0139]

[0140] Where L is the selected key length; D sensitivity is the data sensitivity measure; ∈ is the security margin parameter; T' is the expected data transmission time; α' is the time impact coefficient; η' is the network scale impact coefficient; N is the number of nodes involved in the transmission; γ' is the nonlinear adjustment index, which is used to adjust the key length to meet the needs of different application scenarios; C is the current network condition score, including bandwidth and delay; C avg and σ C are the mean and standard deviation of the network condition scores, respectively;

[0141] Based on the selected key length, a dynamic adjustment coefficient and other complex functions are introduced to simulate the preliminary encryption process, and the influence of network delay and packet loss rate is considered. Through a multi-layer nonlinear adjustment mechanism, the effectiveness and security of the current encryption scheme are evaluated to generate an encryption strength index;

[0142] The encryption strength index is calculated using the following formula:

[0143]

[0144] Among them, S is the encryption strength index; F i is the data characteristic of the i-th sign parameter; μ F and σ F are the mean and standard deviation of the data features respectively; i is the index of the physical sign parameter, from 1 to n; n is the number of physical sign parameters; w j is the weight factor of the jth aggregation operation; j (L,M) is the result of the jth aggregation operation based on the key length L and the encryption mode M; j is the index of the aggregation operation, from 1 to m; m is the number of aggregation operations; λ' is the period parameter of the sine function, which is used to introduce additional nonlinear factors to enhance the encryption effect; E k is the kth environmental factor, including network delay and packet loss rate; k is the index of the physical parameter, from 1 to p; p is the number of environmental factors; β k is the influence coefficient of environmental factors; δ' is the historical intensity adjustment coefficient; S prev is the encryption strength index of the previous moment; S max is the maximum possible encryption strength indicator, used for normalization processing; tanh is the hyperbolic tangent function, used to introduce a multi-layer nonlinear adjustment mechanism; M is the encryption mode, and symmetric or asymmetric encryption mode is selected according to specific needs; L is the selected key length;

[0145] Based on the encryption strength index, a hash verification method is used to ensure the consistency of data before and after encryption, perform redundancy checks, introduce error detection and correction mechanisms, evaluate the transmission efficiency and decryption speed in actual application scenarios, and generate preliminary encrypted information packets.

[0146] The method aims to introduce dynamic adjustment mechanisms and complex mathematical models to evaluate the sensitivity of each data item and identify the importance and security risks of key vital signs and parameters; secondly, analyze the expected data transmission time and the number of participating nodes to ensure that the encryption algorithm efficiently adapts to the needs of actual application scenarios; finally, use the hash verification method to ensure the consistency of data before and after encryption, perform redundancy checks, introduce error detection and correction mechanisms, evaluate the transmission efficiency and decryption speed in actual application scenarios, and finally generate preliminary encrypted information packets. These steps work together to ensure the comprehensiveness and effectiveness of the encryption scheme and solve the problems existing in the existing technology.

[0147] In the selected key length, the data sensitivity metric Used to measure the sensitivity of each data item to ensure that key vital signs and parameters are fully protected; time impact correction item Consider the impact of data transmission time and ensure that the encryption process is completed within a limited time; network scale affects the Consider the number of nodes involved in the transmission to ensure that the encryption algorithm can still run efficiently in a large-scale network; nonlinear adjustment exponential term Adjust the key length to meet the needs of different application scenarios and enhance the encryption effect;

[0148] Among them, D sensitivity Obtained from the data sensitivity assessment results; ∈ is a pre-set safety margin parameter; T' is the expected data transmission time, estimated according to the actual application scenario; α' and η' are empirical parameter types, so they are determined through experiments; N is the number of nodes involved in the transmission, obtained from the network topology; γ' is a nonlinear adjustment index, set according to the application scenario requirements; C is the current network condition score, including bandwidth, delay, etc., obtained from real-time monitoring data; C avg and σ C are the mean and standard deviation of the network condition score, calculated using historical data;

[0149] In the encryption strength index, data feature matching Used to measure the matching degree between the data characteristics of the vital sign parameters and the mean and standard deviation to ensure the accuracy of the encryption process; aggregation operation weight item Select appropriate aggregation operations according to key length and encryption mode to ensure the flexibility of the encryption process; sine period adjustment item Introduce additional nonlinear factors to enhance the encryption effect; environmental factors affect the Consider the impact of environmental factors such as network delay and packet loss rate on encryption effect; historical strength adjustment items Introducing a multi-layer nonlinear adjustment mechanism to ensure continuous optimization of encryption strength;

[0150] Among them, F i is the data feature of the i-th sign parameter, obtained from real-time monitoring data; μ F and σ F are the mean and standard deviation of the data characteristics, calculated through historical data; w j is the weight factor of the jth aggregation operation, which is set according to the application scenario requirements; j (L,M) is the jth aggregation operation result based on the key length L and encryption mode M, obtained through simulation calculation; λ' is the period parameter of the sine function, which is set according to the application scenario requirements; E k is the kth environmental factor, including network delay, packet loss rate, etc., obtained from real-time monitoring data; β k is the influence coefficient of environmental factors, which is determined by experiments; δ' is the historical intensity adjustment coefficient, which is set according to the application scenario requirements; S prev is the encryption strength index of the previous moment, obtained from historical records; S maxis the maximum possible encryption strength indicator, obtained through simulation calculation; M is the encryption mode, symmetric or asymmetric encryption mode is selected according to specific needs; L is the pre-selected key length;

[0151] Suppose that at a high-rise building fire rescue site in the city center, multiple patients with burns and inhalation injuries caused by the fire are being treated. In order to ensure the security and privacy of the patient's information transmission, the system needs to encrypt the information of each patient;

[0152] Assume that the data sensitivity measures are D sensitivity =0.85, safety margin parameter ∈ =0.05, expected data transmission time is 1 hour (T' = 3600 seconds), time influence coefficient α' = 0.7, network scale influence coefficient η' = 0.6, number of nodes involved in transmission N = 5, nonlinear adjustment index γ' = 1.2, current network condition score is C = 0.9, mean network condition score C avg =0.85, standard deviation σ C =0.05;

[0153]

[0154] Assume that the data characteristics of the i-th physical characteristic parameter are F1 = 90, F2 = 130 / 90, F3 = 95%, and the mean value of the data characteristics is μ F =92, standard deviation σ F =4, weight factor w of the jth aggregation operation j = [0.5, 0.3, 0.2], based on the jth aggregation operation result O of key length L = 256 and encryption mode M j (L,M)=[1.2,0.8,0.6], the period parameter λ' of the sine function is 0.8, the kth environmental factors are E1=0.05 (network delay), E2=0.02 (packet loss rate), and the influence coefficient of environmental factors is β k =[0.5,0.3], historical strength adjustment coefficient δ' = 0.7, encryption strength index S at the previous moment prev =0.8, the maximum possible encryption strength index S max =1.0;

[0155]

[0156] Assuming that the threshold is set to 0.9, since the calculated result 0.95 is greater than the set threshold, it shows that the wounded and sick information encryption scheme has high effectiveness and security, and can ensure that the data is not tampered with or leaked during transmission and storage. This is because the higher encryption strength index reflects that the encryption algorithm can effectively protect the security of data under the current network conditions, while not affecting the transmission efficiency and decryption speed. Through the above steps, the security and privacy protection of the transmission of the wounded and sick information are ensured, the reliability and scientificity of the rescue operation are improved, and the accuracy and response speed of the entire health monitoring system are enhanced.

[0157] 104. Based on the secure transmission scheme, decryption processing is performed at the receiving end, and a continuous monitoring mechanism is started to track changes in the status of the injured and sick, and a wireless transmission scheme for the information of the injured and sick is generated.

[0158] Decryption processing refers to the receiving end using the corresponding private key to restore the original information of the injured and sick. This process ensures that the receiving end can obtain complete information of the injured and sick for further analysis and processing.

[0159] The continuous monitoring mechanism is an automated process that regularly obtains the latest vital signs data from on-site emergency equipment and compares and analyzes it with previous data. This mechanism ensures real-time tracking and updating of the status of the injured and sick, and timely detection of any abnormal changes.

[0160] The wireless transmission solution for the injured and sick not only contains the latest vital signs data, but also provides detailed treatment recommendations and care guidelines to guide medical staff on the next steps.

[0161] In an embodiment of the present application, assuming that in a fire rescue in a city's high-rise building, first, after the receiving end receives the encrypted data, it uses the corresponding private key to decrypt it and restore the original information of the injured and sick; secondly, the system starts a continuous monitoring mechanism, regularly obtains the latest vital signs data from the on-site emergency equipment, and compares and analyzes it with the previous data; thirdly, the system updates the status summary and priority information package of the injured and sick according to the latest data analysis results to ensure the timeliness and accuracy of the information; finally, the system generates a wireless transmission plan for the injured and sick information, which not only contains the latest vital signs data, but also provides detailed treatment recommendations and care guidelines to guide medical staff to take the next step.

[0162] Optionally, in step 104, based on the secure transmission scheme, decryption processing is performed at the receiving end, and a continuous monitoring mechanism is started to track changes in the status of the wounded and sick, and a wireless transmission scheme for the information of the wounded and sick is generated, including: based on the secure transmission scheme, the encrypted information packet is decrypted at the receiving end, and the same key as the sending end and the homomorphic encryption algorithm are used to perform reverse operations to generate a decrypted information packet; based on the decrypted information packet, a continuous monitoring mechanism is started, and smart sensors and monitoring equipment are used to track changes in the vital signs data and geographic location information of the wounded and sick in real time, and a real-time status update report is generated; based on the real-time status update report, the urgency is re-evaluated according to the frequency and severity of changes in the vital signs of the wounded and sick, combined with geographical environmental factors, to generate a status change assessment report; based on the status change assessment report, combined with the latest distribution of medical resources, an additional emergency resource scheduling backup plan is configured to generate a wireless transmission scheme for the information of the wounded and sick.

[0163] In this step, the decrypted information packet is generated by the receiving end after decrypting the encrypted information packet. It uses the same key as the sending end and the reverse operation of the homomorphic encryption algorithm to restore the original comprehensive information of the injured and sick, ensuring the integrity and availability of the data.

[0164] The continuous monitoring mechanism refers to the process of using smart sensors and monitoring equipment to track the changes in the vital signs data and geographic location information of the injured and sick in real time. This mechanism can automatically obtain the latest vital signs parameters and compare and analyze them with historical data to ensure that any abnormal situations are discovered in a timely manner.

[0165] The real-time status update report is a detailed report generated based on the continuous monitoring mechanism, which records the changes in the vital signs data and geographic location information of the injured and sick. This report provides basic data for subsequent status change assessments and helps rescue personnel quickly understand the latest status of the injured and sick.

[0166] The status change assessment report is generated after re-evaluating the degree of urgency based on the frequency and severity of changes in the vital signs of the injured and sick, combined with geographical environmental factors. This report not only reflects the current health status of the injured and sick, but also takes into account the impact of the external environment, providing a scientific basis for resource scheduling.

[0167] The backup plan for dispatching additional emergency resources is a backup rescue plan configured based on the status change assessment report and the latest medical resource distribution situation. This plan ensures that additional emergency resources can be quickly mobilized when needed to improve rescue efficiency.

[0168] In the embodiment of the present application, firstly, based on the secure transmission scheme, the encrypted information packet is decrypted at the receiving end, and the same key as the sending end is used to perform the reverse operation with the homomorphic encryption algorithm to generate a decrypted information packet; secondly, based on the decrypted information packet, a continuous monitoring mechanism is started, and intelligent sensors and monitoring equipment are used to track the changes in the vital signs data and geographic location information of the injured and sick in real time, and generate a real-time status update report; thirdly, based on the real-time status update report, the urgency is re-evaluated according to the frequency and severity of changes in the vital signs of the injured and sick, combined with geographical environmental factors, and a status change assessment report is generated; finally, based on the status change assessment report, combined with the latest distribution of medical resources, an additional emergency resource scheduling backup plan is configured to generate a wireless transmission plan for the injured and sick information.

[0169] Suppose at a traffic accident rescue scene on an intercity highway, first, based on the secure transmission solution, the system decrypts the encrypted information packet at the receiving end, uses the same key as the sending end and the homomorphic encryption algorithm to perform reverse operations, and generates a decrypted information packet; secondly, based on the decrypted information packet, the continuous monitoring mechanism is started, and intelligent sensors and monitoring equipment are used to track the changes in the vital signs data and geographic location information of the injured and sick in real time, and generate a real-time status update report; thirdly, based on the real-time status update report, according to the frequency and severity of changes in the vital signs of the injured and sick, combined with geographical environmental factors, the urgency is re-evaluated, and a status change assessment report is generated; finally, based on the status change assessment report, combined with the latest distribution of medical resources, an additional emergency resource scheduling backup plan is configured to generate a wireless transmission plan for the injured and sick information.

[0170] In summary, steps 101 to 104 cover the entire process of information collection, priority assessment, encrypted transmission, and continuous monitoring of the injured and sick, aiming to provide a comprehensive and efficient emergency rescue information processing system that meets the high requirements for data accuracy, privacy protection, and real-time response in modern medical rescue. The system integrates data from multiple on-site emergency equipment and uses advanced algorithms and technologies to ensure optimal resource allocation and effective treatment of the injured and sick in a complex and changing rescue environment.

[0171] Figure 2 A schematic diagram of a wireless transmission system for emergency rescue of sick and injured personnel information is provided in the embodiment of the present application. Figure 2 As shown, the device comprises:

[0172] The receiving module 21 is used to receive and integrate the basic information and real-time vital sign data of the injured and sick through multiple on-site emergency equipment to generate a summary of the status of the injured and sick;

[0173] The prediction module 22 is used to analyze the frequency and severity of changes in the vital signs of the injured and sick based on the summary of the patient's status, apply a priority dynamic adjustment algorithm, make a time series development trend prediction, use geographic information system technology to accurately analyze the geographical location and medical resource distribution, and generate a priority information package;

[0174] The encryption module 23 is used to perform encryption processing based on the priority information packet using a homomorphic encryption algorithm, allowing aggregation operations to be performed without decryption to ensure data privacy and availability, using adaptive network transmission technology to dynamically adjust the transmission strategy according to the real-time network status and generate a secure transmission solution;

[0175] The decryption module 24 is used to perform decryption processing through the receiving end based on the secure transmission scheme, start a continuous monitoring mechanism to track changes in the status of the injured and sick, and generate a wireless transmission scheme for the information of the injured and sick.

[0176] Figure 2 The wireless transmission system for emergency rescue of the injured and sick can be implemented Figure 1 The implementation principle and technical effect of the wireless transmission method for emergency rescue of the wounded and sick described in the embodiment shown are not repeated here. The specific way in which each module and unit performs operations in the wireless transmission system for emergency rescue of the wounded and sick in the above embodiment has been described in detail in the embodiment of the method, and will not be elaborated here.

[0177] In one possible design, Figure 2 The wireless transmission system for emergency rescue of the injured and sick in the embodiment shown can be implemented as a computing device, such as Figure 3 As shown, the computing device may include a storage component 31 and a processing component 32;

[0178] The storage component 31 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 32 .

[0179] The processing component 32 is used to: receive and integrate basic information and real-time vital signs data of the injured and sick through multiple on-site emergency equipment to generate a summary of the status of the injured and sick; use a priority dynamic adjustment algorithm on the summary of the status of the injured and sick to carefully analyze the frequency and severity of changes in the vital signs of the injured and sick, and predict the time series development trend; use geographic information system technology to accurately analyze the geographical location and medical resource distribution to generate a priority information package; based on the priority information package, use a homomorphic encryption algorithm to perform encryption processing, allowing aggregation operations to be performed without decryption to ensure data privacy and availability, use adaptive network transmission technology to dynamically adjust the transmission strategy according to the real-time network status, and generate a secure transmission plan; based on the secure transmission plan, perform decryption processing through the receiving end, start a continuous monitoring mechanism to track changes in the status of the injured and sick, and generate a wireless transmission plan for the information of the injured and sick.

[0180] The processing component 32 may include one or more processors to execute computer instructions to complete all or part of the steps in the above method. Of course, the processing component may also be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above method.

[0181] The storage component 31 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0182] Of course, the computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0183] The input / output interface provides an interface between the processing component and the peripheral interface module, which may be an output device, an input device, etc.

[0184] The communication component is configured to facilitate, among other things, wired or wireless communications between the computing device and other devices.

[0185] Among them, the computing device can be a physical device or an elastic computing host provided by a cloud computing platform, etc. In this case, the computing device can refer to a cloud server, and the above-mentioned processing components, storage components, etc. can be basic server resources rented or purchased from the cloud computing platform.

[0186] The present application also provides a computer storage medium storing a computer program, wherein the computer program can achieve the above-mentioned Figure 1 The illustrated embodiment is a method for wirelessly transmitting information of the injured or sick for emergency rescue.

[0187] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0188] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0189] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0190] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for wirelessly transmitting information of injured and sick persons for emergency rescue, characterized in that: include: Through multiple on-site emergency equipment, the basic information and real-time vital signs data of the injured and sick are received and integrated to generate a summary of the status of the injured and sick; Based on the summary of the patient's status, a priority dynamic adjustment algorithm is used to carefully analyze the frequency and severity of changes in the patient's vital signs, predict the time series development trend, and use geographic information system technology to accurately analyze the geographical location and medical resource distribution to generate a priority information package; Based on the priority information packet, a homomorphic encryption algorithm is used for encryption processing, allowing aggregation operations to be performed without decryption to ensure data privacy and availability, and an adaptive network transmission technology is used to dynamically adjust the transmission strategy according to the real-time network status to generate a secure transmission solution; Based on the secure transmission scheme, decryption processing is performed at the receiving end, and a continuous monitoring mechanism is started to track changes in the status of the injured and sick, and a wireless transmission scheme for the information of the injured and sick is generated.

2. The method according to claim 1, characterized in that Based on the patient status summary, the priority dynamic adjustment algorithm is used to carefully analyze the frequency and severity of changes in the patient's vital signs, make a time series development trend forecast, and use geographic information system technology to accurately analyze the geographical location and medical resource distribution to generate a priority information package, including: Based on the patient status summary, comprehensively evaluate and process the patient's vital sign data and environmental background information to generate a preliminary priority score; Based on the preliminary priority score, a priority dynamic adjustment algorithm is used to combine the historical data and current status of the injured and sick, and the frequency and severity of changes in the vital signs of the injured and sick are carefully analyzed to generate an optimized priority score; Based on the optimization priority score, the location information of the injured and sick is accurately processed using geographic information system technology, the distribution of surrounding medical resources is analyzed to determine the optimal rescue path, and a geographic location analysis report is generated; Based on the geographic location analysis report, the optimization priority score is deeply integrated to generate a priority information package.

3. The method according to claim 2, characterized in that Based on the preliminary priority score, the priority dynamic adjustment algorithm is used, the historical data and current status of the injured and sick are combined, the frequency and severity of changes in the vital signs of the injured and sick are carefully analyzed, and the optimized priority score is generated, including: Based on the preliminary priority score, a comprehensive comparison is performed between the historical vital sign data of the patient and the current status, abnormal changes are identified, and a status difference report is generated; Based on the status difference report, a priority dynamic adjustment algorithm is used to quantify the frequency of changes in the patient's physical signs in different time periods, and different dynamic weight factors are assigned according to the severity of the changes to reflect the development trend of the disease and generate a change frequency and severity assessment; Based on the frequency and severity assessment of the changes, combined with the historical priority scores of the patients and the preliminary priority scores, the overall urgency is comprehensively reassessed to generate a comprehensive urgency assessment; Based on the comprehensive urgency assessment, parameters are regularly updated to adapt to changing actual conditions, and all assessment results are integrated to generate an optimized priority score.

4. The method according to claim 2, characterized in that: Based on the optimization priority score, the geographic information system technology is used to accurately process the location information of the injured and sick, analyze the distribution of surrounding medical resources, determine the optimal rescue path, and generate a geographic location analysis report, including: Based on the optimization priority score, the location information of the injured and sick is accurately collected and processed to obtain the current latitude and longitude coordinates of the injured and sick, and combined with high-precision map data to generate precise positioning data; Based on the precise positioning data, using geographic information system technology, a detailed analysis of the geographical environment where the injured and sick are located is conducted, taking into account the topography and road network, to generate a geographical environment assessment; Based on the geographical environment assessment and in combination with the optimization priority score, the distribution of surrounding medical resources is analyzed, the service capacity and current load of nearby medical institutions are evaluated, and a medical resource distribution map is generated; Based on the medical resource distribution map, the path planning method is used to simulate the changes in traffic flow in different time periods, predict potential traffic bottlenecks, and generate a geographical location analysis report.

5. The method according to claim 1, characterized in that Based on the priority information packet, the homomorphic encryption algorithm is used for encryption processing, allowing the aggregation operation to be performed without decryption, ensuring data privacy and availability, using adaptive network transmission technology, dynamically adjusting the transmission strategy according to the real-time network status, and generating a secure transmission plan, including: Based on the priority information package, a comprehensive assessment is conducted on the comprehensive information of the injured and sick, and possible missing data is supplemented by verification to ensure the accuracy and completeness of the information and generate an optimized information package; Based on the optimized information package, a homomorphic encryption algorithm is used to ensure that the data is kept encrypted during transmission and storage, allowing necessary aggregation operations to be performed without decryption, ensuring data privacy and availability, and generating an encrypted information package; Based on the encrypted information packets, adaptive network transmission technology is used to monitor network bandwidth and packet loss rate parameters in real time, analyze network connection quality and stability, and generate a network status assessment report; Based on the network status assessment report and in combination with the characteristics of the encrypted information packet, data segmentation processing is performed, a retransmission mechanism is constructed, the reliability and integrity of information transmission is ensured, and a secure transmission plan is generated.

6. The method according to claim 5, characterized in that Based on the optimized information package, a homomorphic encryption algorithm is used to ensure that the data transmission and storage process remains encrypted, allowing necessary aggregation operations to be performed without decryption, ensuring data privacy and availability, and generating an encrypted information package, including: Based on the optimized information package, the comprehensive information of the injured and sick is comprehensively checked and verified, and a verification information package is generated through data integrity check and logic consistency check; Based on the verification information package, a homomorphic encryption algorithm is used to perform encryption processing to ensure that the encryption state is maintained during data transmission and storage, select an appropriate key length and encryption mode, support the execution of necessary aggregation operations without decryption, and generate a preliminary encrypted information package; Based on the preliminary encrypted information package, encryption strength and performance evaluation is performed, computing power and response time are tested by simulating computing requirements in different scenarios, and a performance optimization information package is generated; Based on the performance optimization information package, metadata tags are added in combination with actual application requirements to facilitate subsequent decryption processing and generate encrypted information packages.

7. The method according to claim 1, characterized in that Based on the secure transmission scheme, the receiving end performs decryption processing, starts a continuous monitoring mechanism to track the changes in the status of the injured and sick, and generates a wireless transmission scheme for the information of the injured and sick, including: Based on the secure transmission scheme, the encrypted information packet is decrypted at the receiving end, and the same key as the sending end is used to perform a reverse operation with the homomorphic encryption algorithm to generate a decrypted information packet; Based on the decrypted information package, a continuous monitoring mechanism is initiated, and intelligent sensors and monitoring equipment are used to track the changes in vital signs data and geographic location information of the injured and sick in real time, and generate a real-time status update report; Based on the real-time status update report, the urgency is reassessed according to the frequency and severity of changes in the vital signs of the injured and sick, combined with geographical environmental factors, and a status change assessment report is generated; Based on the status change assessment report and combined with the latest medical resource distribution situation, an additional emergency resource scheduling backup plan is configured to generate a wireless transmission plan for the injured and sick person information.

8. A wireless transmission system for information of the wounded and sick used for emergency rescue, characterized in that: include: A receiving module is used to receive and integrate basic information and real-time vital signs data of the injured and sick through multiple on-site emergency equipment to generate a summary of the status of the injured and sick; A prediction module is used to analyze the frequency and severity of changes in the vital signs of the injured and sick based on the summary of the patient's status, apply a priority dynamic adjustment algorithm, make a time series development trend forecast, use geographic information system technology to accurately analyze the geographical location and medical resource distribution, and generate a priority information package; An encryption module, used to perform encryption processing based on the priority information packet using a homomorphic encryption algorithm, allowing aggregation operations to be performed without decryption to ensure data privacy and availability, using adaptive network transmission technology to dynamically adjust the transmission strategy according to real-time network conditions, and generate a secure transmission solution; The decryption module is used to perform decryption processing through the receiving end based on the secure transmission scheme, start a continuous monitoring mechanism to track changes in the status of the injured and sick, and generate a wireless transmission scheme for the information of the injured and sick.

9. A computing device, characterized in that It comprises a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a method for wirelessly transmitting information of injured and sick persons for emergency rescue as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a computer, a method for wirelessly transmitting information of injured and sick persons for emergency rescue as claimed in any one of claims 1 to 7 is implemented.

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