Wireless transmission-based rear delivery cabin data transmission method

Abstract

The invention discloses a post-delivery cabin data transmission method based on wireless transmission, and relates to the technical field of communication engineering, and the method comprises the steps: obtaining monitoring data which is collected by various sensors and is associated with a patient through a data packaging module integrated in a post-delivery cabin, endowing timestamps according to a time sequence, and constructing a monitoring data sequence; meanwhile, assigning an identity label to the data sequence by utilizing facial features of the patient, and packaging and caching; then carrying out priority division on the cached data, and putting the cached data into a priority transmission queue; a main communication link is established between a wireless transmission module arranged in the back sending cabin and the terminal, and the communication quality is verified to determine whether the link is used for transmission or not; and if the verification of the main communication link is not passed, establishing an optimal relay communication link for transmission based on the transmission medium sequence of the rear delivery cabin, monitoring the communication quality of the main communication link in real time, and preparing link switching.

Description

Technical Field

[0001] This invention belongs to the field of communication engineering technology, specifically, it relates to a data transmission method for the rear cargo compartment based on wireless transmission. Background Technology

[0002] Traditional wired data transmission methods are subject to many limitations in field emergency rescue, medical rescue in remote areas, or long-distance patient transfer. Wireless transmission technology has emerged to provide new possibilities for the efficient transmission of patient monitoring data in the evacuation cabin.

[0003] Existing technologies typically have several significant drawbacks when addressing the vital signs data transmission needs of evacuating wounded soldiers in complex environments such as battlefields or disaster sites. Firstly, they often rely on single, fixed wireless communication links, lacking real-time dynamic verification and switching mechanisms for link communication quality. When severe signal interference or excessive distance leads to a decline or even interruption of the main link quality, data transmission faces the risk of failure or severe delay, failing to guarantee the continuity and reliability of critical monitoring data. Secondly, in terms of data organization and transmission strategies, all physiological parameters are usually transmitted indiscriminately or according to simple rules, failing to prioritize data transmission based on the urgency of the patient's physiological state. This results in transmission resources being consumed by secondary data, while critical data reflecting the patient's critical condition is not delivered to the command terminal in a timely manner, affecting the timeliness of medical decisions. Thirdly, in scenarios involving multiple personnel and multiple evacuation modules working collaboratively, there is a lack of effective inter-device relay transmission mechanisms. Data transmission between modules is isolated; when a evacuation module experiences communication difficulties due to location or equipment issues, its data cannot be relayed through neighboring evacuation modules with good communication, resulting in insufficient overall communication resilience and coverage.

[0004] To address the aforementioned problems, this invention proposes a wireless transmission-based data transmission method for the retrieval cabin. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a wireless transmission-based data transmission method for the embankment, solving the problems of unreliable data transmission, untimely transmission of critical information, and weak multi-device collaboration capabilities in embankment data transmission under complex environments.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] A wireless transmission-based data transmission method for the embankment, the method comprising:

[0008] Step 1: The data packaging module integrated in the evacuation cabin acquires the patient-related monitoring data collected by various sensors in the evacuation cabin, classifies the data, assigns timestamps to the monitoring data according to time sequence, and constructs a monitoring data sequence.

[0009] The patient's facial features are used to assign a patient identification to the monitoring data sequence, and the monitoring data sequence is packaged and cached in the data temporary storage module of the evacuation cabin;

[0010] Step 2: Prioritize the monitoring data sequences stored in the data temporary storage module, and include the cached monitoring data sequences in the priority transmission queue to await transmission operation;

[0011] Step 3: Based on the wireless transmission module equipped in the retrieval cabin, establish a main communication link with the terminal in real time;

[0012] Obtain the straight-line distances between all retrieval cabins and the terminal to construct the retrieval cabin transmission medium sequence;

[0013] The communication quality of the main communication link is verified, and the decision on whether to use the main communication link to perform transmission operations is based on the verification results.

[0014] Step four: If the main communication link verification result fails, establish the optimal relay communication link based on the transmission medium sequence of the rear cargo compartment, perform transmission operations, monitor the communication quality of the main communication link in real time, and prepare for communication link switching.

[0015] As a further aspect of the present invention, in step one,

[0016] The data packaging module integrated in the evacuation cabin interacts with various sensors in the evacuation cabin in real time and acquires monitoring data related to the patient collected by various sensors. The monitoring data includes at least electrocardiogram, electroencephalogram, blood pressure, body temperature, and blood oxygen saturation.

[0017] The data packaging module is equipped with a computing unit for data analysis and data packaging operations on monitoring data.

[0018] As a further aspect of the present invention, the specific method for constructing the monitoring data sequence in step one is as follows:

[0019] The total number of all dispatched cargo holds is counted and denoted as m.

[0020] Obtain any evacuation capsule, denoted as EVAn, where n is the counting index, ranging from 1 to m;

[0021] The current time is determined by the data packaging module of the EVAn embankment and is denoted as t1, i.e., the timestamp;

[0022] The electrocardiogram, electroencephalogram, blood pressure, body temperature, and blood oxygen saturation obtained at time t1 are sequentially labeled as X1, B1, P1, T1, and Y1. In blood pressure P1, P represents blood pressure, count index 1 represents time t1, and blood pressure P1 represents the patient's blood pressure at time t1. The rest are labeled in the same way to complete the binding of monitoring data with timestamps.

[0023] Obtain the monitoring cycle preset by the operator, and record the duration of the monitoring cycle as j moments, where j is determined based on the duration of the monitoring cycle;

[0024] Obtain blood pressure at each moment within a monitoring period, arrange them in chronological order, and denot them as the blood pressure sequence P1, P2, ..., Pj;

[0025] Similarly, construct electrocardiogram (ECG) sequences, electroencephalogram (EEG) sequences, body temperature sequences, and blood oxygen saturation sequences;

[0026] Repeat the above steps to construct the monitoring data sequence for each monitoring period in real time.

[0027] As a further aspect of the present invention, the specific method for performing a packaging operation on the monitoring data sequence and caching it in the data temporary storage module of the retrieval cabin in step one is as follows:

[0028] The camera integrated into the EVAn transport cabin is used to recognize the patient's face, take a picture of the patient's face, extract the patient's facial features based on the picture, bind the patient's facial features with all monitoring data sequences, perform a data packaging operation, and cache the packaged monitoring data sequences to the data temporary storage module, which is equipped with a solid-state storage device.

[0029] As a further aspect of the present invention, the specific method for including the cached monitoring data sequence in the priority transmission queue in step two is as follows:

[0030] The highest weights W_X and W_B preset by the operator for ECG and EEG are extracted, and the corresponding ECG and EEG sequences are directly included in the pre-constructed priority transmission queue, where W_X=W_B=1;

[0031] Obtain the basic weights W_P, W_T, and W_Y preset by the operator for blood pressure, body temperature, and blood oxygen saturation, where W_P, W_T, and W_Y are all greater than 0, and W_P+W_T+W_Y=1;

[0032] The blood pressure sequences P1, P2, ..., Pj are validated using a preset standard blood pressure range [P_min, P_max].

[0033] The total number of blood pressures falling within the standard blood pressure range [P_min, P_max] is recorded as sum_P. The abnormality score ab_P of the blood pressure series P1, P2, ..., Pj is calculated using ab_P = (j-sum_P) / j×100.

[0034] Similarly, the abnormality scores ab_T and ab_Y of the body temperature sequence and blood oxygen saturation sequence are determined based on the standard body temperature range and the standard blood oxygen saturation range.

[0035] Then, the priority index DEX_P of the blood pressure sequence P1, P2, ..., Pj is calculated using DEX_P = W_P × (1 + α × ab_P), where α is the preset abnormal amplification coefficient, and α > 0.

[0036] Repeat the above steps to determine the priority indices DEX_T and DEX_Y for the body temperature sequence and the blood oxygen saturation sequence;

[0037] Extract the priority transmission queue and include the blood pressure sequence, body temperature sequence, and blood oxygen saturation sequence into the priority transmission queue in descending order of their respective priority indices.

[0038] As a further aspect of the present invention, the specific method for establishing a main communication link with the terminal in real time based on the wireless transmission module equipped in the retrieval cabin in step three is as follows:

[0039] After startup, the EVAn is equipped with a wireless transmission module and interacts with the terminal based on a pre-built communication protocol. It locks the communication with the best quality as the main communication protocol and establishes a main communication link with the terminal in conjunction with the wireless transmission module.

[0040] As a further aspect of the present invention, in step three, the communication quality is obtained by weighted summation of the bit error rate, packet loss rate, delay, throughput, and signal-to-noise ratio between the communication protocol and the terminal. The weights of the bit error rate, packet loss rate, delay, throughput, and signal-to-noise ratio are preset by the operator.

[0041] As a further aspect of the present invention, the specific method for constructing the re-delivery capsule transmission medium sequence by obtaining the straight-line distances between all re-delivery capsules and the terminal in step three is as follows:

[0042] Based on the positioning modules integrated in each of the m delivery modules, the straight-line distance between the current position of the m delivery modules and the position of the terminal is determined, and the m delivery modules are arranged in ascending order of straight-line distance, denoted as the delivery module sequence EVA1, EVA2, ..., EVAm. The delivery module EVAn is removed from the delivery module sequence EVA1, EVA2, ..., EVAm, and denoted as the delivery module transmission medium sequence.

[0043] As a further aspect of the present invention, the specific method for determining whether to use the main communication link to perform the transmission operation based on the verification result in step three is as follows:

[0044] The communication quality of the main communication link established between the EVAn in the rear delivery cabin and the terminal is obtained and compared with the communication quality threshold preset by the operator. If the communication quality of the main communication link is greater than or equal to the communication quality threshold, the main communication link is selected to perform transmission operation on the monitoring data sequence in the priority transmission queue.

[0045] Conversely, the optimal relay communication link is established based on the transmission medium sequence of the embankment to perform transmission operations.

[0046] As a further aspect of the present invention, the specific method for establishing an optimal relay communication link based on the transmission medium sequence of the retrieval cabin to perform the transmission operation in step four is as follows:

[0047] Extract m-1 rear delivery modules from the rear delivery module transmission medium sequence, and in real time filter the rear delivery modules whose communication quality with the main communication link established with the terminal is greater than or equal to the communication quality threshold, and mark them as transmission mediums.

[0048] Sort all the media to be transmitted in descending order of their communication quality values, and denote this as the media to be transmitted sequence.

[0049] The evacuation chambers without patients were selected from the sequences of the media to be transmitted and arranged in the order of the sequences of the media to be transmitted, and marked as the preferred sequences of the media to be transmitted.

[0050] The remaining transport compartments are arranged in the original order and marked as general transport media sequence;

[0051] If the total number of retrieval capsules in the preferred transmission medium sequence is not zero, then the wireless transmission module of the retrieval capsule EVAn will sequentially traverse each retrieval capsule in the preferred transmission medium sequence and attempt to establish a relay communication link. The first successfully established relay communication link will be taken as the optimal relay communication link and the transmission operation will be performed.

[0052] If the total number of re-delivery cabins in the preferred transmission medium sequence is zero or a relay communication link cannot be established with any of the re-delivery cabins in the preferred transmission medium sequence, then the wireless transmission module of the re-delivery cabin EVAn will sequentially traverse the general transmission medium sequence and take the first successfully established relay communication link as the optimal relay communication link, and transmit the monitoring data sequence obtained by the re-delivery cabin EVAn to the re-delivery cabin corresponding to the optimal relay communication link.

[0053] Obtain the timestamp of the monitoring period in which the monitoring data sequence of the rear delivery capsule EVAn is located, and include the monitoring data sequence of the rear delivery capsule EVAn into the priority transmission queue of the rear delivery capsule corresponding to the optimal relay communication link and end the node with the highest timestamp synchronization rate in the monitoring period in which the monitoring data sequence of the rear delivery capsule EVAn is located.

[0054] The beneficial effects of this invention are:

[0055] (1) This invention ensures the timeliness, traceability and uniqueness of patient monitoring data through integrated data packaging and identification management, effectively avoiding information mixing and loss; through dynamic priority queue scheduling, the system can intelligently identify key data and transmit it first, significantly improving the efficiency of information transmission in critical situations; its dual-link redundant communication mechanism, while actively monitoring the quality of the main link, intelligently activates the relay backup link, enhancing the robustness and continuity of transmission in complex environments, thereby ensuring that patient data is delivered to the terminal in real time, stably and completely.

[0056] (2) This invention achieves seamless real-time interaction and sensor connection, real-time monitoring of data, and ensures continuous and accurate monitoring of patient status. At the same time, it is equipped with a computing unit to support local data analysis and packaging, reduce transmission delay and improve processing efficiency. It uses timestamp binding and data sequence construction according to monitoring cycle to enhance the timeliness and organization of data, which facilitates subsequent medical analysis and traceability. In addition, by recognizing the patient's face and extracting features through the camera, the monitoring data is accurately bound to the patient's identity, avoiding data confusion. Finally, the packaged data is cached in a data temporary storage module equipped with solid-state storage to ensure the integrity and availability of data in emergency scenarios, thereby optimizing the intelligence and responsiveness of medical evacuation.

[0057] (3) This invention constructs a multi-level, adaptive, and efficient data transmission mechanism by combining static weights with dynamic anomaly assessment, ensuring the absolute priority transmission of key data and providing stable support for emergency diagnosis. Furthermore, by performing real-time anomaly calculation and dynamic priority index adjustment on indicators such as blood pressure, body temperature, and blood oxygen saturation, the relevant data can be automatically upgraded in transmission order when the patient's condition is abnormal, thereby achieving optimal allocation of medical resources under limited bandwidth. Based on the strategy of combining fixed priority and flexible response, it improves the response speed and intelligence of data transmission in critical situations, and enhances the reliability and timely intervention capability of remote monitoring.

[0058] (4) This invention dynamically evaluates and weights communication quality indicators, intelligently selects the optimal communication protocol to establish the main communication link, and introduces a rear-delivery cabin sequence based on distance sorting as a backup relay, thus constructing a multi-layer communication guarantee mechanism to improve the reliability and stability of data transmission. When the quality of the main link is substandard, it automatically and seamlessly switches to the optimal relay link, effectively avoiding communication interruptions caused by signal interference or distance. In addition, by comprehensively considering multiple parameters such as bit error rate and delay, it enhances the adaptive capability of data transmission in complex environments, thereby ensuring that key monitoring data can be continuously and efficiently transmitted to the terminal. It is suitable for scenarios with high requirements for communication continuity, such as emergency rescue and telemedicine.

[0059] (5) This invention dynamically screens and sorts the transmission media that meet the communication quality standards, and prioritizes the use of the evacuation cabin without patients to establish relay links, thus ensuring the reliability and timeliness of data transmission. On the one hand, by evaluating the link quality in real time and distinguishing between preferred and general sequences, the best relay node is intelligently selected in complex environments, ensuring the efficient and stable transmission of key monitoring data. On the other hand, a priority queue synchronization mechanism based on timestamps is introduced to ensure that data is transmitted in an orderly manner according to the monitoring cycle, effectively reducing the risk of transmission delay and data corruption. Overall, it enhances the adaptive communication capability in emergency scenarios and optimizes the utilization of network resources so that data can be transmitted to the terminal stably and in a timely manner. Attached Figure Description

[0060] The invention will now be further described with reference to the accompanying drawings.

[0061] Figure 1 This is a flowchart illustrating the method described in this invention;

[0062] Figure 2 This is a schematic diagram of the rear delivery cabin described in Embodiment 2 of the present invention. Detailed Implementation

[0063] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0064] like Figure 1 As shown, this application provides a wireless transmission-based data transmission method for the embankment.

[0065] As an embodiment 1 of this application, it specifically includes:

[0066] Step 1: The data packaging module integrated in the evacuation cabin acquires the patient-related monitoring data collected by various sensors in the evacuation cabin, classifies the data, assigns timestamps to the monitoring data according to time sequence, and constructs a monitoring data sequence.

[0067] The patient's facial features are used to assign a patient identification to the monitoring data sequence, and the monitoring data sequence is packaged and cached in the data temporary storage module of the evacuation cabin;

[0068] Step 2: Prioritize the monitoring data sequences stored in the data temporary storage module, and include the cached monitoring data sequences in the priority transmission queue to await transmission operation;

[0069] Step 3: Based on the wireless transmission module equipped in the retrieval cabin, establish a main communication link with the terminal in real time;

[0070] Obtain the straight-line distances between all retrieval cabins and the terminal to construct the retrieval cabin transmission medium sequence;

[0071] The communication quality of the main communication link is verified, and the decision on whether to use the main communication link to perform transmission operations is based on the verification results.

[0072] Step four: If the main communication link verification result fails, establish the optimal relay communication link based on the transmission medium sequence of the rear cargo compartment, perform transmission operations, monitor the communication quality of the main communication link in real time, and prepare for communication link switching.

[0073] Example 2

[0074] Wireless transmission-based data transmission methods for the embankment, such as Figure 1 , Figure 2 As shown, this method includes the following:

[0075] This method: The wireless transmission-based data transmission method for evacuation cabins is essentially a method for collecting, processing, and wirelessly transmitting patient monitoring data in evacuation cabins, ensuring that the vital signs data of critically ill patients can be reliably, in real time, and orderly transmitted to remote medical terminals during the transfer of patients.

[0076] The evacuation chamber described in this method integrates several modules, mainly including a data packaging module, a data temporary storage module, a wireless transmission module, and a positioning module. These multiple modules work together with the evacuation chamber to complete the stable transmission of patient vital signs data.

[0077] First, the data packaging module integrated in the evacuation cabin acquires patient-related monitoring data collected by various sensors in the evacuation cabin. It integrates the scattered monitoring data from different sensors into a monitoring data sequence with complete contextual information that can be transmitted independently. The data packaging module integrated in the evacuation cabin interacts with various sensors in the evacuation cabin in real time and acquires patient-related monitoring data collected by various sensors. The monitoring data includes at least electrocardiogram, electroencephalogram, blood pressure, body temperature, and blood oxygen saturation.

[0078] Each type of monitoring data corresponds to a monitoring data sequence, and the monitoring data in the monitoring data sequence also integrates a timestamp to characterize the patient monitoring data and the temporal correlation features.

[0079] Next, the patient's facial features are used to assign a patient identification to the monitoring data sequence, and the monitoring data sequence is packaged and cached in the data storage module of the evacuation cabin. The data packaging module has its own computing power unit, and the data processing—classification, timestamping, and packaging—is completed locally in real time within the evacuation cabin without relying on the external network, thereby reducing latency and improving system independence.

[0080] The monitoring data sequences stored in the data buffering module are then prioritized and included in the priority transmission queue, awaiting transmission. This ensures that the transmission of the most important data is prioritized even when communication bandwidth is limited. The principle is to ensure that high-priority data is placed at the front of the queue and transmitted first, reflecting the "life first" principle in the medical system and ensuring that doctors see the most dangerous characteristic information corresponding to the patient first.

[0081] Then, based on the wireless transmission module equipped in the retrieval capsule, a main communication link is established with the terminal in real time, and the straight-line distance between all retrieval capsules and the terminal is obtained to construct the retrieval capsule transmission medium sequence.

[0082] Next, the communication quality of the main communication link is verified, and based on the verification results, it is determined whether to use the main communication link to perform the transmission operation.

[0083] If the main communication link fails the verification, it means that the main communication link is unavailable. In this case, the optimal relay communication link is established based on the transmission medium sequence of the embankment to perform the transmission operation. It should be noted that during the data transmission process, the communication quality of the main communication link needs to be monitored in real time, and the communication link should be switched at any time.

[0084] Example 3

[0085] This embodiment, based on embodiment 2, further discloses a method for constructing monitoring data sequences and caching them in a data storage module of the retrieval cabin, specifically including the following:

[0086] First, the terminal needs to count the total number of back-delivery cabins for all dispatched missions in this dispatch mission, and record the total number of dispatched back-delivery cabins as m.

[0087] Next, each delivery module is numbered, and any one delivery module EVAn is extracted from all the delivery modules. This delivery module EVAn is used as an example for processing. The remaining delivery modules are processed in the same way as the delivery module EVAn. Here, n is the counting index, which ranges from 1 to m.

[0088] First, the data packaging module integrated in the EVAn embankment determines the current time and marks it as t1. Time t1 represents a timestamp. It should be noted that time t1 represents a point in time, but the time interval between two adjacent times is not 1 second or 1 minute, but is preset by the operator.

[0089] Next, based on various sensors in the evacuation EVAn, the ECG, EEG, blood pressure, body temperature, and blood oxygen saturation associated with the patient in the evacuation EVAn at time t1 are obtained and sequentially labeled as X1, B1, P1, T1, and Y1. It should be explained that P in blood pressure P1 represents blood pressure, count index 1 represents time t1, and blood pressure P1 represents the patient's blood pressure at time t1. This achieves integrated encoding of data and timestamp.

[0090] Similarly, the binding of monitoring data and timestamps is completed simultaneously for the rest.

[0091] Next, the monitoring cycle preset by the operator is obtained. The duration of the monitoring cycle is preset by the operator. One monitoring cycle includes several moments. The total number of moments in one monitoring cycle is counted and recorded as j moments. The value of j is determined based on the duration of the monitoring cycle.

[0092] Arrange discrete data points of the same type within a period into a sequence according to time order. For example, obtain the blood pressure at each moment within a monitoring period and arrange them in time order, denoted as the blood pressure sequence P1, P2, ..., Pj.

[0093] Similarly, electrocardiograms (ECGs), electroencephalograms (EEGs), body temperature, and blood oxygen saturation are processed, and ECG sequences, EEG sequences, body temperature sequences, and blood oxygen saturation sequences are constructed. In this way, the raw streaming data is transformed into a fixed-length, structured data sequence that is easy to analyze and transmit.

[0094] By repeating the above steps, the monitoring data sequence associated with any evacuation chamber in any monitoring cycle can be determined. The monitoring data sequence is a collective term for electrocardiogram (ECG) sequence, electroencephalogram (EEG) sequence, blood pressure sequence, body temperature sequence, and blood oxygen saturation sequence.

[0095] Based on the above steps, patient identity binding and secure storage operations are performed on the monitoring data sequences, as follows:

[0096] First, after the patient enters the evacuation EVAn, the camera integrated into the EVAn recognizes the patient's face and takes real-time photos of the patient's face. Through facial recognition technology, the patient's facial photos are analyzed to extract facial features, which are then converted into a format that can be bound to the monitoring data sequences. After binding the patient's facial features to all monitoring data sequences, a data packaging operation is performed on the bound monitoring data sequences. Finally, the packaged monitoring data sequences are cached in the data temporary storage module, which is equipped with a solid-state storage device to store the monitoring data sequences.

[0097] Example 4

[0098] This embodiment, based on embodiment 3, further discloses a method for assigning priorities to monitoring data sequences and including them in a priority transmission queue, specifically including the following:

[0099] The purpose of this method is to dynamically calculate the data transmission priority based on the doctor's prior experience and the patient's real-time changes in condition, and to transmit data based on this priority, rather than using a fixed queuing order, as detailed below:

[0100] First, the operator (the operator mentioned in this solution may include medical personnel, such as doctors) sets the highest priority data. The highest priority data has the corresponding highest weight. For example, if the operator sets the electrocardiogram (ECG) and electroencephalogram (EEG) as the highest priority data, then the highest weights of the ECG and EEG are W_X and W_B, respectively, and W_X=W_B=1, representing the highest priority. Thus, during the inclusion in the priority transmission queue, the ECG and EEG sequences corresponding to the ECG and EEG are directly included in the first node of the pre-constructed priority transmission queue.

[0101] Next, additional processing is performed on non-highest priority data, as follows:

[0102] Using the blood pressure, body temperature, and blood oxygen saturation values ​​in this scheme, we obtain the basic weights W_P, W_T, and W_Y preset by the operator for blood pressure, body temperature, and blood oxygen saturation. It should be noted that the basic weights W_P, W_T, and W_Y are different from the highest weights W_X and W_B. W_P, W_T, and W_Y are all greater than 0, and W_P + W_T + W_Y = 1.

[0103] Next, taking blood pressure as an example, we will perform an example processing to obtain the standard blood pressure range [P_min, P_max] preset by the operator. The standard blood pressure range [P_min, P_max] can be determined through a large amount of prior data and clinical data.

[0104] Then, obtain the blood pressure sequences P1, P2, ..., Pj associated with the patient, calculate the total number of blood pressures in the blood pressure sequences P1, P2, ..., Pj that fall within the standard blood pressure range [P_min, P_max], and record it as sum_P. Then, use ab_P=(j-sum_P) / j×100 to calculate the abnormality score ab_P of the blood pressure sequences P1, P2, ..., Pj.

[0105] It should be noted that if the operator requests the addition of blood pressure variability monitoring, the formula ab_P = (j-sum_P) / j × 100 needs to be modified. First, obtain j-sum_P blood pressure readings that are not within the standard blood pressure range [P_min, P_max], and calculate the degree of difference between j-sum_P blood pressure readings and the standard blood pressure range [P_min, P_max]. For example, if the patient's blood pressure value at any given time is 150, and the blood pressure value at P_max is 110, then the degree of difference at this time is 150-110=40. If the blood pressure value is lower than the P_min value, then the degree of difference is calculated by subtracting this blood pressure value from the P_min value. Finally, the j-sum_P degree of difference is averaged and recorded as the average degree of difference, and a preset calculation permission is assigned to the average degree of difference. At the same time, a calculation weight is assigned to (j-sum_P) / j (the proportion of abnormal blood pressure), and the final abnormality score ab_P is calculated by weighted summation.

[0106] According to the above method, the abnormality scores ab_T and ab_Y of the body temperature sequence and blood oxygen saturation sequence are determined based on the standard body temperature range and standard blood oxygen saturation range preset by the operator.

[0107] Finally, the priority index DEX_P of the blood pressure series P1, P2, ..., Pj is calculated using DEX_P = W_P × (1 + α × ab_P). It should be noted that α is a preset anomalous amplification coefficient, α > 0, used to adjust the degree of influence of anomalous data on the priority index.

[0108] Based on DEX_P=W_P×(1+α×ab_P), the abnormality scores and basic weights of the body temperature sequence and blood oxygen saturation sequence are substituted to determine the priority indices DEX_T and DEX_Y of the body temperature sequence and blood oxygen saturation sequence.

[0109] Finally, the priority transmission queue is extracted, and the blood pressure sequence, body temperature sequence, and blood oxygen saturation sequence are included in the priority transmission queue after the first node containing the electrocardiogram sequence and electroencephalogram sequence, according to their respective priority indices from largest to smallest.

[0110] Example 5

[0111] This embodiment further discloses an intelligent and redundant emergency data transmission scheme based on embodiment 4, specifically including the following:

[0112] The core idea of ​​this solution is that when any EVAn in the evacuation module needs to send critical monitoring data to a remote terminal, it first attempts to establish a direct communication link (i.e., the main communication link) and evaluates the quality of the link in real time. If the quality is not up to standard, the system will automatically activate the backup plan, using other nearby evacuation modules as relay springboards to build an indirect, higher-quality relay communication link to ensure successful data transmission.

[0113] First, the wireless module equipped in the EVAn evacuation cabin is activated, and it attempts to communicate with the target terminal according to the preset communication protocol, such as Wi-Fi, 4G / 5G, satellite communication, etc.

[0114] Then, determine the communication quality associated with all communication protocols, and select the communication protocol with the best communication quality as the optimal communication protocol. Based on this optimal communication protocol, establish a stable direct communication link, i.e., the main communication link.

[0115] It needs to be explained that communication quality can be based on existing communication quality assessment schemes, such as a single signal-to-noise ratio (SNR) or received signal strength indicator (RSSI). This scheme provides a special method for assessing communication quality, specifically based on the weighted summation of bit error rate, packet loss rate, latency, throughput, and SNR between the communication protocol and the terminal. The weights of bit error rate, packet loss rate, latency, throughput, and SNR are preset by the operator, who can dynamically set the weights according to the actual application scenario.

[0116] Then, based on the positioning modules integrated in each of the m delivery modules, the straight-line distance between the current location of the m delivery modules and the location of the terminal is determined, and the m delivery modules are arranged in ascending order of straight-line distance (from near to far) to form a delivery module sequence EVA1, EVA2, ..., EVAm. Delivery module EVAn (which is the delivery module used as an example in this scheme) is removed from the delivery module sequence EVA1, EVA2, ..., EVAm. Then, the delivery module sequence EVA1, EVA2, ..., EVAm after removing delivery module EVAn is marked as the delivery module transmission medium sequence, which is easy to distinguish from the delivery module sequence EVA1, EVA2, ..., EVAm.

[0117] Next, the communication quality of the main communication link established between the EVAn in the rear delivery cabin and the terminal is obtained, and this communication quality is compared with the communication quality threshold preset by the operator. If the communication quality of the main communication link is greater than or equal to the communication quality threshold, it means that the main communication link meets the data transmission requirements and can be transmitted. Then, the main communication link is selected to perform transmission operation on the monitoring data sequence in the priority transmission queue.

[0118] If the communication quality of the main communication link is less than the communication quality threshold, then an optimal relay communication link is established based on the transmission medium sequence of the embankment to perform the transmission operation.

[0119] Example 6

[0120] This embodiment, based on embodiment 5, further discloses a method for establishing a relay communication link and transmitting data to a terminal based on multiple embankments, specifically including the following:

[0121] This embodiment is a further improvement on the solution described in Embodiment 5. Its purpose is to prioritize the use of a evacuation pod with good communication quality and no patients as a relay when the evacuation pod cannot directly connect to the terminal. This ensures the reliability and efficiency of critical data links while avoiding the occupation of evacuation pod resources that are responsible for primary medical tasks. Specifically, as follows:

[0122] First, extract m-1 retrieval cabins from the retrieval cabin transmission medium sequence, and extract from the m-1 retrieval cabins the retrieval cabins whose communication quality of the main communication link established with the terminal is greater than or equal to the communication quality threshold, and mark them as the transmission medium to be transmitted, wherein the sorting order of the transmission medium to be transmitted is the same as that of the retrieval cabin transmission medium sequence.

[0123] Next, the evacuation pods that do not carry patients are selected from the sequence of media to be transmitted and arranged in the order of the sequence of media to be transmitted. These are marked as preferred sequences of media to be transmitted because the network resources of the evacuation pods that do not carry patients are relatively idle and are more suitable for relaying tasks.

[0124] The remaining evacuation pods, which already carry patients, are arranged in the original order and marked as general transport media sequences. The primary task of these evacuation pods is to monitor patients, and their relay priority is reduced.

[0125] If the preferred transmission medium sequence is not empty, the wireless transmission module based on the EVAn will attempt to establish relay communication links with the EVAn in the preferred transmission medium sequence one by one in sequence, and take the first successfully established relay communication link as the optimal relay communication link and perform the transmission operation, because the EVAn with the first successfully established relay communication link is closest to the terminal, the transmission risk is relatively small, and the transmission efficiency is higher.

[0126] If the preferred transmission medium sequence is empty, or if the wireless transmission module of the EVAn fails to establish a relay communication link with each of the EVAn in the preferred transmission medium sequence in sequence, then the wireless transmission module of the EVAn will sequentially traverse the general transmission medium sequence and take the first successfully established relay communication link as the optimal relay communication link. The monitoring data sequence obtained by the EVAn will then be transmitted to the EVAn corresponding to the optimal relay communication link.

[0127] When the monitoring data sequence obtained by EVAn is transmitted to the rear delivery cabin corresponding to the optimal relay communication link, it is not transmitted directly. Instead, the timestamp of the monitoring data sequence of EVAn in the rear delivery cabin is first obtained, and the monitoring data sequence of EVAn in the rear delivery cabin is included in the priority transmission queue of the rear delivery cabin corresponding to the optimal relay communication link and at the end of the node with the highest timestamp synchronization rate in the monitoring period of the monitoring data sequence of EVAn in the rear delivery cabin. This ensures that data with the same or similar time sequence are bundled together and transmitted sequentially, reducing data disorder and helping the terminal side to reconstruct the monitoring status of each rear delivery cabin more completely and orderly.

[0128] If the EVAn in the evacuation capsule is ultimately unable to establish any communication link, it will continue to attempt to establish one until it succeeds.

[0129] All data in the formulas described above have been calculated with dimensions removed. Furthermore, any content not described in detail in this specification is existing technology known to those skilled in the art.

[0130] The above description is merely an example and illustration of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the invention or exceed the scope defined in the claims, they should all fall within the protection scope of the present invention.

[0131] It should be stated that all user data collected in this application was collected with the user's consent and authorization. Furthermore, the uses of user data are legal and compliant, and the use and processing of user data comply with the relevant laws, regulations, and standards of the relevant regions.

Claims

1. A data transmission method for the embankment based on wireless transmission, characterized in that, The method includes: Step 1: The data packaging module integrated in the evacuation cabin acquires the patient-related monitoring data collected by various sensors in the evacuation cabin, classifies the data, assigns timestamps to the monitoring data according to time sequence, and constructs a monitoring data sequence. The patient's facial features are used to assign a patient identification to the monitoring data sequence, and the monitoring data sequence is packaged and cached in the data temporary storage module of the evacuation cabin; Step 2: Prioritize the monitoring data sequences stored in the data temporary storage module, and include the cached monitoring data sequences in the priority transmission queue to await transmission operation; Step 3: Based on the wireless transmission module equipped in the retrieval cabin, establish a main communication link with the terminal in real time; Obtain the straight-line distances between all retrieval cabins and the terminal to construct the retrieval cabin transmission medium sequence; The communication quality of the main communication link is verified, and the decision on whether to use the main communication link to perform transmission operations is based on the verification results. Step four: If the main communication link verification result fails, establish the optimal relay communication link based on the transmission medium sequence of the rear cargo compartment, perform transmission operations, monitor the communication quality of the main communication link in real time, and prepare for communication link switching.

2. The method according to claim 1, characterized in that, In step one, The data packaging module integrated in the evacuation cabin interacts with various sensors in the evacuation cabin in real time and acquires monitoring data related to the patient collected by various sensors. The monitoring data includes at least electrocardiogram, electroencephalogram, blood pressure, body temperature, and blood oxygen saturation. The data packaging module is equipped with a computing unit for data analysis and data packaging operations on monitoring data.

3. The method according to claim 2, characterized in that, In step one, the specific method for constructing the monitoring data sequence is as follows: The total number of all dispatched cargo holds is counted and denoted as m. Obtain any evacuation capsule, denoted as EVAn, where n is the counting index, ranging from 1 to m; The current time is determined by the data packaging module of the EVAn embankment and is denoted as t1, i.e., the timestamp; The electrocardiogram, electroencephalogram, blood pressure, body temperature, and blood oxygen saturation obtained at time t1 are sequentially labeled as X1, B1, P1, T1, and Y1. In blood pressure P1, P represents blood pressure, count index 1 represents time t1, and blood pressure P1 represents the patient's blood pressure at time t1. The rest are labeled in the same way to complete the binding of monitoring data with timestamps. Obtain the monitoring cycle preset by the operator, and record the duration of the monitoring cycle as j moments, where j is determined based on the duration of the monitoring cycle; Obtain blood pressure at each moment within a monitoring period, arrange them in chronological order, and denot them as the blood pressure sequence P1, P2, ..., Pj; Similarly, construct electrocardiogram (ECG) sequences, electroencephalogram (EEG) sequences, body temperature sequences, and blood oxygen saturation sequences; Repeat the above steps to construct the monitoring data sequence for each monitoring period in real time.

4. The method according to claim 3, characterized in that, In step one, the specific method for packaging the monitoring data sequence and caching it in the data temporary storage module of the retrieval cabin is as follows: The camera integrated into the EVAn transport cabin is used to recognize the patient's face, take a picture of the patient's face, extract the patient's facial features based on the picture, bind the patient's facial features with all monitoring data sequences, perform a data packaging operation, and cache the packaged monitoring data sequences to the data temporary storage module, which is equipped with a solid-state storage device.

5. The method according to claim 4, characterized in that, In step two, the specific method for including the cached monitoring data sequence in the priority transmission queue is as follows: The highest weights W_X and W_B preset by the operator for ECG and EEG are extracted, and the corresponding ECG and EEG sequences are directly included in the pre-constructed priority transmission queue, where W_X=W_B=1; Obtain the basic weights W_P, W_T, and W_Y preset by the operator for blood pressure, body temperature, and blood oxygen saturation, where W_P, W_T, and W_Y are all greater than 0, and W_P+W_T+W_Y=1; The blood pressure sequences P1, P2, ..., Pj are validated using a preset standard blood pressure range [P_min, P_max]. The total number of blood pressures falling within the standard blood pressure range [P_min, P_max] is recorded as sum_P. The abnormality score ab_P of the blood pressure series P1, P2, ..., Pj is calculated using ab_P = (j-sum_P) / j×100. Similarly, the abnormality scores ab_T and ab_Y of the body temperature sequence and blood oxygen saturation sequence are determined based on the standard body temperature range and the standard blood oxygen saturation range. Then, the priority index DEX_P of the blood pressure sequence P1, P2, ..., Pj is calculated using DEX_P = W_P × (1 + α × ab_P), where α is the preset abnormal amplification coefficient, and α > 0. Repeat the above steps to determine the priority indices DEX_T and DEX_Y for the body temperature sequence and the blood oxygen saturation sequence; Extract the priority transmission queue and include the blood pressure sequence, body temperature sequence, and blood oxygen saturation sequence into the priority transmission queue in descending order of their respective priority indices.

6. The method according to claim 5, characterized in that, In step three, the specific method for establishing a real-time main communication link with the terminal based on the wireless transmission module equipped in the retrieval cabin is as follows: After startup, the EVAn is equipped with a wireless transmission module and interacts with the terminal based on a pre-built communication protocol. It locks the communication with the best quality as the main communication protocol and establishes a main communication link with the terminal in conjunction with the wireless transmission module.

7. The method according to claim 6, characterized in that, In step three, the communication quality is calculated by weighted summation of the bit error rate, packet loss rate, latency, throughput, and signal-to-noise ratio between the communication protocol and the terminal. The weights of the bit error rate, packet loss rate, latency, throughput, and signal-to-noise ratio are preset by the operator.

8. The method according to claim 7, characterized in that, In step three, the specific method for obtaining the straight-line distances between all the retrieval cabins and the terminal to construct the retrieval cabin transmission medium sequence is as follows: Based on the positioning modules integrated in each of the m delivery modules, the straight-line distance between the current position of the m delivery modules and the position of the terminal is determined, and the m delivery modules are arranged in ascending order of straight-line distance, denoted as the delivery module sequence EVA1, EVA2, ..., EVAm. The delivery module EVAn is removed from the delivery module sequence EVA1, EVA2, ..., EVAm, and denoted as the delivery module transmission medium sequence.

9. The method according to claim 8, characterized in that, In step three, the specific method for determining whether to use the main communication link to perform the transmission operation based on the verification result is as follows: The communication quality of the main communication link established between the EVAn in the rear delivery cabin and the terminal is obtained and compared with the communication quality threshold preset by the operator. If the communication quality of the main communication link is greater than or equal to the communication quality threshold, the main communication link is selected to perform transmission operation on the monitoring data sequence in the priority transmission queue. Conversely, the optimal relay communication link is established based on the transmission medium sequence of the embankment to perform transmission operations.

10. The method according to claim 9, characterized in that, In step four, the specific method for establishing the optimal relay communication link based on the retrieval cabin transmission medium sequence to perform the transmission operation is as follows: Extract m-1 rear delivery modules from the rear delivery module transmission medium sequence, and in real time filter the rear delivery modules whose communication quality with the main communication link established with the terminal is greater than or equal to the communication quality threshold, and mark them as transmission mediums. Sort all the media to be transmitted in descending order of their communication quality values, and denote this as the media to be transmitted sequence. The evacuation chambers without patients were selected from the sequences of the media to be transmitted and arranged in the order of the sequences of the media to be transmitted, and marked as the preferred sequences of the media to be transmitted. The remaining transport compartments are arranged in the original order and marked as general transport media sequence; If the total number of retrieval capsules in the preferred transmission medium sequence is not zero, then the wireless transmission module of the retrieval capsule EVAn will sequentially traverse each retrieval capsule in the preferred transmission medium sequence and attempt to establish a relay communication link. The first successfully established relay communication link will be taken as the optimal relay communication link and the transmission operation will be performed. If the total number of re-delivery cabins in the preferred transmission medium sequence is zero or a relay communication link cannot be established with any of the re-delivery cabins in the preferred transmission medium sequence, then the wireless transmission module of the re-delivery cabin EVAn will sequentially traverse the general transmission medium sequence and take the first successfully established relay communication link as the optimal relay communication link, and transmit the monitoring data sequence obtained by the re-delivery cabin EVAn to the re-delivery cabin corresponding to the optimal relay communication link. Obtain the timestamp of the monitoring period in which the monitoring data sequence of the rear delivery capsule EVAn is located, and include the monitoring data sequence of the rear delivery capsule EVAn into the priority transmission queue of the rear delivery capsule corresponding to the optimal relay communication link and end the node with the highest timestamp synchronization rate in the monitoring period in which the monitoring data sequence of the rear delivery capsule EVAn is located.

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