Intelligent wounded person carrying stretcher system

Abstract

The invention discloses an intelligent wounded person carrying stretcher system, and belongs to the field of medical instruments. The intelligent wounded person carrying stretcher system comprises a first support, a second support, a third support, bearing cloth and a connecting assembly, and further comprises a vital sign monitoring system and a cloud analysis platform. The problems that an existing stretcher is inconvenient to carry and single in function are solved, the folding effect of the first support, the second support and the third support is achieved through the connecting assemblies, the first support, the second support and the third support are fixed through the upper binding belt after being folded, the stretcher can be carried on the body through the straps so that the stretcher can be carried conveniently, and meanwhile the stretcher is matched with the vital sign monitoring system. According to the medical stretcher, vital sign data and body temperature data of the wounded are monitored in real time, the single function that a traditional stretcher can only be carried is changed, data compression, fragmentation and transmission monitoring are carried out on the monitored data, the data transmission efficiency can be improved, the monitored data are analyzed, corresponding first-aid measures can be taken in time, and the situation that the treatment opportunity of the wounded is delayed is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment, and in particular to an intelligent wounded transport stretcher system. Background Art

[0002] A stretcher is a medical device used to transport the wounded. Its main structure consists of stretcher bars and soft canvas. However, existing stretchers still have the following problems in actual use: 1. Although the existing stretcher can be folded to reduce its size, it still needs to be held in the hand when carried. Holding it for a long time will put a lot of stress on the arm, which is not conducive to the subsequent transportation of the wounded; 2. Existing stretchers have relatively simple functions and can only realize basic carrying functions. They cannot monitor the vital signs of the injured in real time, making it impossible to understand the physical condition of the injured in time and difficult to detect possible dangerous situations of the injured in advance, thus delaying the time for emergency treatment; Therefore, the existing needs are not met, so we propose an intelligent wounded transport stretcher system. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent wounded transport stretcher system, which realizes the folding effect of the first bracket, the second bracket and the third bracket through a connecting component. After folding, they are fixed by an upper belt, and then by a provided shoulder strap, so that the carrier can carry the stretcher on his back, thereby facilitating the carrying of the stretcher. At the same time, the stretcher is equipped with a vital sign monitoring system to realize real-time monitoring of the physical condition of the wounded, which is conducive to timely understanding the physical condition of the wounded and solves the problems raised in the above-mentioned background technology.

[0004] To achieve the above-mentioned object, the present invention provides the following technical solution: an intelligent wounded transport stretcher system, comprising a first bracket, a second bracket, a third bracket, a carrying cloth, and a connecting assembly, wherein the wounded transport stretcher comprises the first bracket, the second bracket, the third bracket, and the carrying cloth, and the first bracket, the second bracket, and the third bracket are interconnected by the connecting assembly; The carrier cloth is laid on a frame formed by the first bracket, the second bracket and the third bracket, an upper belt and a lower belt are respectively provided above and below the carrier cloth, and heating plates are provided inside the carrier cloth, the upper belt and the lower belt; It also includes a vital signs monitoring system and a cloud-based analysis platform; The vital signs monitoring system is configured to monitor the patient's vital signs and body temperature data in real time through various sensors provided on the upper belt, wherein the vital signs data include heart rate data, respiratory data, and blood oxygen saturation data; The real-time monitored vital signs and body temperature data are compressed and fragmented before being transmitted to the cloud analysis platform. The fragmentation process determines the possible fragmentation range based on network quality assessment indicators, rule base matching results, and policy priority analysis. The actual fragmentation size of the data is determined by analyzing the successful transmission of the current data and the possible fragmentation range, thus achieving dynamic fragmentation optimization. The cloud analysis platform is configured to analyze the real-time monitored vital signs data and body temperature data, and feed back the real-time monitored vital signs data and body temperature data and analysis results to the remote monitoring personnel, wherein the analysis results include: If there is any abnormality in the vital signs data, an alarm will be issued through the sound and light device on the first bracket; If the body temperature data is abnormal, the body temperature of the injured person is maintained by heating plates installed in the carrier cloth, upper belt and lower belt.

[0005] Furthermore, the life sign monitoring system includes: The data acquisition module is configured to deploy various sensors on the upper belt. The sensors are attached to the patient's body to monitor the patient's vital signs and body temperature in real time. The vital signs include heart rate, respiration, and blood oxygen saturation. The data preprocessing module is configured to preprocess the vital signs data and body temperature data, including: Remove invalid, duplicate, and abnormal data from vital signs and body temperature data; Use filtering algorithms to remove noise from vital signs and body temperature data; The data transmission module is configured to compress the pre-processed vital signs data and body temperature data and transmit them to the cloud analysis platform.

[0006] Furthermore, the data transmission module includes: a data compression module configured to compress the vital signs data and the body temperature data, and after compression, to package the vital signs data and the body temperature data and add data information, including a type identifier, a data timestamp, a data source device ID, and a data packet sequence number; The data fragmentation module is configured to fragment the packaged data packet into multiple fragments, transmit each fragment independently, and add the fragment sequence number and total number of fragments information to the fragment; The transmission monitoring module is configured to monitor various quality indicators during the data transmission process in real time, including transmission success rate, transmission delay, packet loss rate and bit error rate. By statistics and analysis of various indicators, it is determined whether there are any problems in the transmission process. If there are problems in the transmission process, the monitored quality indicators and problem information are promptly fed back to maintenance personnel.

[0007] Furthermore, the data sharding module further includes: Evaluate the transmission network status in real time according to the set evaluation interval to obtain quality evaluation indicators; The obtained quality assessment indicators are used as screening conditions to match the initial sharding adjustment strategy from the preset rule library; If there is only a single initial sharding adjustment policy, the currently obtained initial sharding adjustment policy will be used as the actual sharding adjustment policy; If there are multiple initial shard adjustment strategies with the same adjustment direction, the maximum adjustment amplitude is extracted and combined with the adjustment direction to generate the actual shard adjustment strategy; If there are multiple initial sharding adjustment strategies and the adjustment directions are not consistent, obtain the corresponding rule association index of each initial sharding adjustment strategy; Determine the priority association score of each initial shard adjustment policy by combining the preset priority score of the rule association indicator with the policy effective value; Sort the initial sharding adjustment strategies from largest to smallest according to their priority association scores to obtain a strategy priority list; The actual shard adjustment strategy is determined by comparing the adjustment direction and priority correlation score difference of the first two strategies in the strategy priority list. Using the actual sharding adjustment strategy, adjust the initially defined sharding size of the current data to obtain a possible sharding range; Extract the success transmission probability of the current data within a preset time period and compare it with a preset success threshold determined based on the data priority; If the comparison result is positive, the middle value is selected from the possible sharding range as the actual sharding size of the current data; If the comparison result is negative, the data priority adjustment direction is adjusted according to the upper limit or lower limit of the range extracted from the possible range of the shard to obtain the actual shard size of the current data.

[0008] Furthermore, the cloud analysis platform includes: a data analysis module configured to compare the real-time monitored vital signs and body temperature data with preset thresholds, analyze whether the vital signs and body temperature data are abnormal based on the comparison results, determine the vital signs data abnormality score, and then determine the abnormality level based on the data abnormality score; The early warning and adjustment module is configured to issue early warning reminders or temperature adjustments based on the analysis results of the data analysis module, specifically: If the analysis result shows that the vital signs data is abnormal, an early warning instruction is immediately generated based on the abnormal performance level and sent to the sound and light device, which plays sound and flashes lights to alert the transport personnel; If the analysis result shows that the body temperature data is abnormal, a control instruction is immediately generated. The control instruction signal controls the heating plates on the carrier cloth, upper belt and lower belt to provide warmth to the injured person until the injured person's body temperature is kept within the set threshold range; The feedback interaction module is configured to provide an interactive interface for remote monitoring personnel. On the interactive interface, the vital signs and body temperature data of the injured person and the analysis results of the data analysis module are displayed in real time through visual icons and graphics. At the same time, the early warning instructions sent by the early warning and adjustment module to the sound and light device are displayed in real time, and the working parameters of the heating plate are adjusted.

[0009] Furthermore, the preset threshold is specifically: Heart rate data threshold: 40~300 beats / minute; The threshold of respiratory data: respiratory rate, is 12-20 times / minute; The threshold of blood oxygen saturation data is 90%~100%; The threshold of body temperature data is 35.5℃ ~37.5℃.

[0010] Furthermore, the connecting assembly includes a connecting rod, a slot and a connecting shaft. The slot is arranged at the connection between the first bracket, the second bracket and the third bracket. The connecting rod is inserted into the slot and fixed by the connecting shaft to realize the connection and folding of the first bracket, the second bracket and the third bracket.

[0011] Furthermore, the upper and lower straps are provided with tear-off stickers for fixing and adjusting, and the back of the carrying cloth located at the first bracket is provided with shoulder straps for carrying a stretcher for the wounded.

[0012] Furthermore, folding legs are installed on both sides of the first bracket, folding wheels are installed on both sides of the third bracket, and a movable groove is opened on the third bracket, and a foot baffle is provided on the movable groove, and the foot baffle is connected to the movable groove through a rotating shaft.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention uses the design of the connecting assembly to enable the first bracket, the second bracket and the third bracket to be conveniently connected and folded. After folding, they are fixed by the upper strap, and then the folded stretcher can be carried on the body through the provided shoulder straps, which greatly reduces the force on the arms, can effectively relieve the fatigue of the carriers, is conducive to the subsequent continuous carrying of the wounded, and improves the efficiency and sustainability of the carrying. In addition, folding wheels are installed on both sides of the third bracket, and there is also a foot baffle on the third bracket for placing the feet of the wounded. This design can facilitate the operation of carrying the wounded by a single person when there are not enough carriers.

[0014] 2. The present invention can monitor the vital signs data and body temperature data of the injured in real time through the vital signs monitoring system. By compressing, segmenting and transmitting the vital signs data and body temperature data, the efficiency of data transmission can be improved and the integrity of data transmission can be ensured. The cloud analysis platform analyzes the received vital signs data and body temperature data to promptly detect abnormal conditions of the injured, thereby issuing early warnings or maintaining the stability of the injured body temperature in a timely manner. By combining with the vital signs monitoring system, real-time monitoring of the physical condition of the injured is achieved, changing the single function of the traditional stretcher which is only for carrying, so as to timely grasp the health status of the injured, and thus take corresponding emergency measures in time to avoid delaying the treatment of the injured. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a schematic diagram of the overall structure of the wounded transport stretcher of the present invention; Figure 2 Schematic diagram of the folding of the first bracket, the second bracket and the third bracket of the present invention; Figure 3 For the present invention Figure 2 Enlarged view of point A in the middle; Figure 4 This is a side view of the wounded carrying stretcher of the present invention after folding; Figure 5 This is a schematic diagram of the back side of the wounded carrying stretcher of the present invention after folding; Figure 6 This is a schematic diagram of the modules of the wounded carrying stretcher of the present invention.

[0016] In the figure: 1. First bracket; 2. Second bracket; 3. Third bracket; 31. Foot baffle; 32. Movable slot; 4. Carrying cloth; 5. Connecting assembly; 51. Connecting rod; 52. Slot; 53. Connecting shaft; 6. Upper strap; 7. Lower strap; 8. Tear-off sticker; 9. Folding foot; 10. Folding wheel; 11. Shoulder strap; 12. Sound and light device. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0018] In order to solve the technical problem that the existing stretcher can be folded to reduce the volume, but still needs to be held in hand when carried, and holding it for a long time will put a lot of force on the arm, which is not conducive to the subsequent transportation of the wounded, please refer to Figure 1-Figure 5 , this embodiment provides the following technical solutions: The intelligent wounded transport stretcher system includes a first bracket 1, a second bracket 2, a third bracket 3, a carrying cloth 4 and a connecting component 5. The wounded transport stretcher is composed of the first bracket 1, the second bracket 2, the third bracket 3 and the carrying cloth 4. The first bracket 1, the second bracket 2 and the third bracket 3 are interconnected by the connecting component 5; The carrier cloth 4 is laid on the frame formed by the first bracket 1, the second bracket 2 and the third bracket 3. An upper belt 6 and a lower belt 7 are respectively provided above and below the carrier cloth 4, and heating plates are provided inside the carrier cloth 4, the upper belt 6 and the lower belt 7.

[0019] The technical effect of the above technical solution is as follows: the stretcher structure composed of the first bracket 1, the second bracket 2, the third bracket 3 and the carrying cloth 4 provides good support and carrying capacity for the wounded, and the first bracket 1, the second bracket 2 and the third bracket 3 are connected to each other by a connecting component 5, and can be folded when not in use, which greatly reduces the volume and floor space of the stretcher, making it convenient to store and transport, and the upper strap 6 and the lower strap 7 are respectively arranged above and below the carrying cloth 4, which can firmly fix the wounded on the stretcher, preventing the wounded from slipping or body part displacement due to bumps, shaking, etc. during transportation, ensuring the safety of the wounded during transportation, and the upper strap 6 can also fix the folded stretcher, so that the stretcher can be folded like a school bag (such as Figure 4-Figure 5 As shown), the heating sheet provided in the carrying cloth 4, the upper strap 6 and the lower strap 7 can keep the patient warm in cold conditions or when the patient's body temperature is low, thereby helping to maintain the patient's body temperature stable and preventing the patient's physical condition from deteriorating due to the low temperature environment.

[0020] The connecting assembly 5 includes a connecting rod 51, a slot 52 and a connecting shaft 53. The slot 52 is set at the connection between the first bracket 1, the second bracket 2 and the third bracket 3. The connecting rod 51 is inserted into the slot 52 and fixed by the connecting shaft 53 to realize the connection and folding of the first bracket 1, the second bracket 2 and the third bracket 3.

[0021] The technical effect of the above technical solution is: the connecting rod 51 is inserted into the slot 52 and is firmly fixed through the connecting shaft 53, which not only enables the various supports to maintain a stable connection, but also enables the folding effect between the various supports. The design of the connecting component 5 enables the stretcher to have a certain degree of flexibility during the connection and folding process, so that the stretcher can be folded when not in use, greatly reducing the volume and floor space, thereby facilitating storage, carrying and transportation.

[0022] The upper and lower straps 6 and 7 are provided with tear-off stickers 8 for fixing and adjusting. The back of the carrying cloth 4 located at the first bracket 1 is provided with a shoulder strap 11 for carrying a stretcher for the injured.

[0023] The technical effects of the above technical solution are as follows: the tear-off sticker 8 is easy to use and firmly adheres. The porter can quickly fix the upper strap 6 and the lower strap 7 to different parts of the injured person's body, thereby quickly fixing the injured person and avoiding displacement or slipping of the injured person's body during transportation, thereby ensuring the safety and stability of the injured person. The setting of the shoulder strap 11 enables the porter to carry the stretcher on his back, freeing up his hands and facilitating flexible movement in complex terrain or narrow spaces, such as going up and down stairs, crossing obstacles, etc., thereby improving the flexibility and efficiency of carrying the stretcher, greatly reducing the force on the porter's arms, effectively alleviating the porter's fatigue, and facilitating subsequent continuous carrying of the injured person, thereby improving the efficiency and sustainability of transportation.

[0024] Folding legs 9 are installed on both sides of the first bracket 1, folding wheels 10 are installed on both sides of the third bracket 3, and a movable groove 32 is opened on the third bracket 3, and a foot baffle 31 is provided on the movable groove 32, and the foot baffle 31 is connected to the movable groove 32 through a rotating shaft.

[0025] The technical effects of the above technical scheme are as follows: the folding legs 9 and the folding wheels 10 both have a folding function, and can be folded and stored when not in use, which will not increase the volume of the stretcher and is convenient for carrying and storage. When needed, they can be quickly unfolded and are easy to operate, which improves the practicality and emergency response speed of the stretcher. When the stretcher is placed on the ground, the folding legs 9 and the folding wheels 10 are unfolded to support the stretcher and ensure that the stretcher is placed firmly. The folding wheels 10 provide convenience when the stretcher needs to be moved, especially when there are insufficient transporters. The stretcher can be pushed and moved by one person, making the stretcher more versatile and flexible. The design of the movable groove 32 and the foot baffle 31 provides flexible placement and protection for the feet of the injured, meeting the comfort and safety of the injured during transportation, and the foot baffle 31 can be rotated and adjusted through the rotating shaft, and can also be folded and stored when not in use, without increasing the volume of the stretcher.

[0026] In order to solve the technical problem that the existing function is relatively simple and can only realize the basic transportation function, and cannot monitor the vital signs of the injured in real time, thus failing to understand the physical condition of the injured in time, and it is difficult to detect the possible dangerous situation of the injured in advance, thus delaying the time of emergency treatment, please refer to Figure 6 , this embodiment provides the following technical solutions: An intelligent casualty transport stretcher system also includes a vital signs monitoring system and a cloud-based analysis platform; The vital signs monitoring system is configured to monitor the vital signs data and body temperature data of the injured person in real time through various sensors provided on the upper belt 6, wherein the vital signs data include heart rate data, respiratory data and blood oxygen saturation data; The real-time monitored vital signs and body temperature data are compressed and fragmented before being transmitted to the cloud analysis platform. The fragmentation process determines the possible fragmentation range based on network quality assessment indicators, rule base matching results, and policy priority analysis. The actual fragmentation size of the data is determined by analyzing the successful transmission of the current data and the possible fragmentation range, thus achieving dynamic fragmentation optimization. The cloud analysis platform is configured to analyze the real-time monitored vital signs data and body temperature data, and feed back the real-time monitored vital signs data and body temperature data and analysis results to the remote monitoring personnel, wherein the analysis results include: If the vital characteristics data show abnormality, the sound and light device 12 on the first bracket 1 will issue a warning, so that the rescuers can immediately detect the dangerous situation of the injured person and take emergency measures in time to prevent the injury from worsening. If the body temperature data is abnormal, the body temperature of the injured person is maintained by providing heating plates in the carrier cloth 4, the upper belt 6 and the lower belt 7, so that rescuers can detect the dangerous condition of the injured person at the first time and take emergency measures in time to prevent the injury from further deterioration.

[0027] The technical effect of the above technical solution is: the vital signs monitoring system can monitor the vital signs data and body temperature data of the injured person in real time by arranging various sensors on the upper belt 6, and provide rescue personnel with real-time and accurate information on the physical condition of the injured person, so that rescue personnel can promptly discover changes in the injured person's condition and take corresponding treatment measures in advance, thereby improving the pertinence and effectiveness of the rescue. The cloud analysis platform analyzes the monitored data to help on-site transport personnel better respond to various emergencies, optimize on-site treatment effects, and improve the quality of rescue. At the same time, the cloud analysis platform feeds back the monitored data and analysis results to the remote monitoring personnel, realizing real-time information sharing between the rescue site and remote medical experts. Remote medical experts can grasp the vital signs information of the injured person in a timely manner based on these data, and provide professional medical guidance and suggestions for subsequent treatment and diagnosis. Through the vital signs monitoring system and the cloud analysis platform, the single function of the traditional stretcher, which is only for carrying, is changed so that the health status of the injured person can be grasped in a timely manner.

[0028] Vital signs monitoring system, including: The data acquisition module is configured to deploy various sensors on the upper strap 6, and monitor the patient's vital signs and body temperature data in real time by fitting the sensors to the patient's body. The vital signs data include heart rate data, respiratory data, and blood oxygen saturation data; The data preprocessing module is configured to preprocess the vital signs data and body temperature data, including: Remove invalid, duplicate, and abnormal data from vital signs and body temperature data, purify the original collected data, improve the purity and validity of the data, and avoid misjudgment or analysis bias caused by data quality issues; Using filtering algorithms to remove noise from vital signs and body temperature data can effectively reduce the impact of interference factors and make the data more realistically reflect the actual vital signs of the injured; The data transmission module is configured to compress the pre-processed vital signs data and body temperature data and transmit them to the cloud analysis platform, the vital signs monitoring system and the cloud analysis platform.

[0029] The technical effects of the above technical solution are as follows: the data acquisition module deploys various sensors on the upper strap 6, which fits tightly to the victim's body and can monitor vital signs such as heart rate, respiration, blood oxygen saturation, and body temperature in real time and accurately, providing a reliable basis for subsequent analysis and decision-making. The monitoring of multiple key vital signs not only reflects the victim's basic physiological state, but also promptly captures possible abnormal changes, providing rescue personnel with more comprehensive information about the victim, and facilitating a more accurate assessment of the severity of the victim's condition and emergency needs. The data preprocessing module purifies the original collected data by removing invalid data, duplicate data, and abnormal data, as well as removing noise, thereby improving the purity and validity of the data and ensuring the credibility and availability of the data for subsequent transmission and analysis. The data transmission module compresses the preprocessed data before transmitting it to the cloud analysis platform, reducing the amount of data transmitted, improving transmission efficiency, and saving communication resources and time costs. In emergency rescue scenarios, fast and stable data transmission is crucial, ensuring that the monitoring data is delivered to the cloud for analysis and processing in a timely manner, avoiding information lags caused by data transmission delays.

[0030] Data transmission module, including: a data compression module configured to compress the vital signs data and the body temperature data, and after compression, to package the vital signs data and the body temperature data and add data information, including a type identifier, a data timestamp, a data source device ID, and a data packet sequence number; The data fragmentation module is configured to fragment the packaged data packet into multiple fragments, transmit each fragment independently, and add the fragment sequence number and total number of fragments information to the fragment; The transmission monitoring module is configured to monitor various quality indicators during the data transmission process in real time, including transmission success rate, transmission delay, packet loss rate and bit error rate. By statistics and analysis of various indicators, it is determined whether there are any problems in the transmission process. If there are problems in the transmission process, the monitored quality indicators and problem information are promptly fed back to maintenance personnel.

[0031] The technical effects of the above technical solution are as follows: the data compression module can effectively reduce the volume of vital sign data and body temperature data, so that more data can be transmitted in the same time, reducing transmission delays, ensuring that remote monitoring personnel can obtain the latest information about the injured in a timely manner, and providing real-time basis for rescue decisions. After compression, the data is packaged and processed and information such as type identification, data timestamp, data source device ID and data packet sequence number is added, making the data more standardized and easy to identify and manage. Remote monitoring personnel can quickly distinguish different types of monitoring data, understand the data collection time and source device, and facilitate data collation, analysis and traceability. The data fragmentation module splits the data packet into multiple fragments for independent transmission, reducing the impact of single data packet loss on the overall data. Even if some fragments are lost or erroneous, as long as enough fragments are received, the complete data can still be restored, thereby improving the reliability of data transmission. The transmission monitoring module monitors the quality indicators of the data transmission process in real time, such as transmission success rate, transmission delay, packet loss rate and bit error rate. Once a transmission problem is found, the relevant indicators and problem information can be quickly fed back to maintenance personnel, so that targeted optimization and improvement can be carried out, improving the overall quality and efficiency of data transmission, and providing reliable communication guarantee for remote monitoring and rescue of the injured.

[0032] The data sharding module further includes: Evaluate the transmission network status in real time according to the set evaluation interval to obtain quality evaluation indicators; The obtained quality assessment indicators are used as screening conditions to match the initial sharding adjustment strategy from the preset rule library; If there is only a single initial sharding adjustment policy, the currently obtained initial sharding adjustment policy will be used as the actual sharding adjustment policy; If there are multiple initial shard adjustment strategies with the same adjustment direction, the maximum adjustment amplitude is extracted and combined with the adjustment direction to generate the actual shard adjustment strategy; If there are multiple initial sharding adjustment strategies and the adjustment directions are not consistent, obtain the corresponding rule association index of each initial sharding adjustment strategy; Determine the priority association score of each initial shard adjustment policy by combining the preset priority score of the rule association indicator with the policy effective value; Sort the initial sharding adjustment strategies from largest to smallest according to their priority association scores to obtain a strategy priority list; The actual shard adjustment strategy is determined by comparing the adjustment direction and priority correlation score difference of the first two strategies in the strategy priority list. Using the actual sharding adjustment strategy, adjust the initially defined sharding size of the current data to obtain a possible sharding range; Extract the success transmission probability of the current data within a preset time period and compare it with a preset success threshold determined based on the data priority; If the comparison result is positive, the middle value is selected from the possible sharding range as the actual sharding size of the current data; If the comparison result is negative, the data priority adjustment direction is adjusted according to the upper limit or lower limit of the range extracted from the possible range of the shard to obtain the actual shard size of the current data.

[0033] In this embodiment, the set evaluation interval refers to a pre-set time interval for periodically evaluating the transmission network status, such as 10 seconds; the transmission network status refers to the real-time status of the data transmission network; the quality evaluation index refers to an index used to measure network quality, specifically including bandwidth, packet loss rate, delay and jitter.

[0034] In this embodiment, each rule in the preset rule base defines specific network quality conditions (such as bandwidth, packet loss rate, latency, and jitter thresholds) and corresponding fragment adjustment strategies (such as increasing or decreasing fragment size). These rules are pre-developed based on a combination of expert experience, historical data analysis, and other methods. For example, there are rules: if the bandwidth is greater than 10Mbps and the packet loss rate is less than 1%, the fragment size is increased by 1KB; if the latency is less than 50ms and the jitter is less than 10ms, the fragment size is increased by 200B; the initial fragment adjustment strategy refers to the preliminary fragment adjustment plan obtained by matching the rule base based on quality assessment indicators; the adjustment direction includes both increasing and decreasing directions; the maximum adjustment amplitude refers to the adjustment value of the strategy with the largest adjustment amplitude (adjustment amount) among multiple initial strategies with the same adjustment direction.

[0035] In this embodiment, the rule-associated indicator refers to the quality assessment indicator used to filter out the current policy. For example, based on the current quality assessment indicator 1 bandwidth > 10Mbps and the quality assessment indicator 2 packet loss rate < 1%, the initial fragment adjustment strategy 1 is filtered out from the preset rule library: the fragment size is increased by 1KB; at this time, the rule-associated indicator refers to bandwidth and packet loss rate.

[0036] In this embodiment, the preset priority score refers to the weight score pre-set for the quality assessment index, and the value range is , used to evaluate the importance of indicators in characterizing network conditions; the effective value of the strategy is used to represent the actual effect of the current strategy in historical applications, generally referring to the improvement in success rate within a period of time (such as 1 hour); the priority association score is obtained by first calculating the sum of the priority scores of the preset priority scores of all quality assessment indicators of the current strategy, and then normalizing the value obtained by directly weighting and averaging the sum of the priority scores and the effective value of the strategy. Among them, the weights assigned to the sum of the priority scores and the effective value of the strategy are obtained by solving the matrix constructed after pairwise comparison and scoring using the hierarchical analysis method, and the value range is The strategy priority list refers to a list in which the initial sharding adjustment strategies are sorted from largest to smallest according to the priority association scores.

[0037] In this embodiment, if the adjustment direction of the first and second policies in the pre-list of policies is the same, or the adjustment direction is different, and the priority association score difference exceeds the benchmark score threshold, the first policy is used as the actual shard adjustment policy; If the adjustment directions of the first and second policies in the pre-list of policies are inconsistent, and the difference in priority association scores does not exceed the benchmark score threshold, the two policies are compromised based on the priority association scores to generate the actual shard adjustment policy; Among them, the benchmark score threshold generally refers to 5% of the current maximum priority association score; compromise processing specifically refers to the method of compromising the two current strategies to generate the final strategy when the adjustment directions of the first and second strategies in the strategy priority list are inconsistent and the difference in priority association scores does not exceed the benchmark score threshold.

[0038] In this embodiment, for example, there is a first-place strategy : Shard size increased by 100B (preferred association score = 0.9), second strategy : Shard size reduced by 50B (preferred association score = 0.88); baseline score threshold = ; At this time, the first strategy and the second strategy The priority association score difference of 0.02 does not exceed the benchmark score threshold of 0.045, so the compromise adjustment value = (100B × 0.9 + (-50B) × 0.88) / (0.9 + 0.88) ≈ 25.8B (rounded off); The final actual shard adjustment policy is generated: the shard size increases by 25.8B.

[0039] In this embodiment, the initially defined fragment size refers to the fragment size before the fragmentation of the current data is adjusted; the actual fragment adjustment policy refers to the fragment size adjustment plan finally determined after analyzing the network quality assessment indicators, the rule base matching results, and the policy priority; the possible fragment range refers to the upper and lower limits calculated based on the initially defined fragment size, the adjustment range and adjustment direction in the actual fragment adjustment policy, and the set allowable fluctuation (for example, ±5%), with rounding. For example, if the initial shard size is 1KB, the actual shard adjustment strategy is "increase 1KB", and the allowed fluctuation is set to ±5%, then the possible shard range is [1.05KB, 1.95KB].

[0040] In this embodiment, the preset time period refers to the time window used to calculate the probability of successful transmission of the current data; the probability of successful transmission refers to the ratio of the number of successful data transmissions to the total number of data transmissions within the preset time period; the data priority refers to the level pre-divided according to the importance of the data, for example, vital signs data is high priority and body temperature data is low priority; the preset success threshold refers to the predetermined target value of the transmission success rate, and different data priorities correspond to different thresholds; the comparison result refers to the result of subtracting the corresponding preset success threshold from the probability of successful transmission of the current data.

[0041] In this embodiment, the data priority adjustment direction refers to the fragment size adjustment direction configuration determined according to the data priority, that is, if the data priority is high, the data priority adjustment direction is to reduce the fragment size, the purpose is to reduce the impact of a single data transmission failure; if the data priority is low, the data priority adjustment direction is to increase the fragment size, the purpose is to improve the transmission efficiency.

[0042] In this embodiment, when the data priority adjustment direction is to increase the fragment size, the upper limit of the range is extracted from the possible fragment range; when the data priority adjustment direction is to reduce the fragment size, the lower limit of the range is extracted from the possible fragment range.

[0043] In this embodiment, for example, there is data The data priority is high, the probability of successful transmission within the preset time period is 96%, the corresponding preset success threshold of high priority is 95%, and the possible fragmentation range is [1.05KB, 1.95KB]; At this time, the comparison result = 96%-95% = 1% > 0, which is positive. Then the middle value is selected from the possible fragment range [1.05KB, 1.95KB], that is, 1.5KB as the current data The actual shard size; For example, there is data The data priority is low, the probability of successful transmission within the preset time period is 90%, the preset success threshold corresponding to the low priority is 92%, and the possible fragmentation range is [1.25KB, 1.75KB]; At this time, the comparison result = 90%-92% =-2%<0, which is negative. Based on the low priority of the data, the data priority adjustment direction is determined to increase the fragment size. The upper limit of the range 1.75KB is extracted from the possible fragment range [1.25KB, 1.75KB]. The upper limit of the range 1.75KB is adjusted to obtain the current data The actual shard size ; For example, there is data The data priority is high, the probability of successful transmission within the preset time period is 90%, the corresponding preset success threshold of high priority is 95%, and the corresponding fragmentation range is [1.35KB, 1.65KB]; At this time, the comparison result = 90%-95% =-5%<0, which is negative. Based on the high priority of the data, the data priority adjustment direction is determined to reduce the fragment size. The lower limit of the range 1.35KB is extracted from the possible fragment range [1.35KB, 1.65KB]. The lower limit of the range 1.35KB is adjusted to obtain the current data The actual shard size .

[0044] The beneficial effect of the above technical solution is: by utilizing the actual fragmentation adjustment strategy determined based on network quality evaluation indicators, rule base matching results and policy priority analysis, the possible fragmentation range is obtained, and then by combining the successful transmission of the current data with the possible fragmentation range for analysis, the actual fragmentation size of the data is determined, which can effectively realize dynamic fragmentation optimization, thereby helping to improve data transmission efficiency and reliability.

[0045] The working principle of the above technical solution is as follows: first, the transmission network status is evaluated in real time according to the set evaluation interval to generate a quality assessment indicator; then, the obtained quality assessment indicator is used as a screening condition to match the initial fragmentation adjustment strategy from the preset rule library. If only a single strategy exists, it is directly used as the actual fragmentation adjustment strategy; if there are multiple strategies and the adjustment direction is consistent, the maximum adjustment amplitude is extracted and the final strategy is generated based on the adjustment direction; if the adjustment directions are inconsistent, the priority association score of each strategy is calculated to sort them and obtain a strategy priority list; then, the first two strategies in the list are compared and analyzed to determine the actual fragmentation adjustment strategy; then, the actual fragmentation adjustment strategy is used to adjust the initially defined fragmentation size of the current data to obtain the possible fragmentation range; then, the successful transmission probability of the current data within the preset time period is extracted and compared with the preset success threshold determined based on the data priority. If the comparison result is positive, the middle value is selected from the possible fragmentation range as the actual fragmentation size; if the comparison result is negative, the upper or lower limit of the range is extracted from the possible fragmentation range according to the data priority adjustment direction and adjusted to obtain the actual fragmentation size of the current data.

[0046] Cloud-based analytics platform, including: a data analysis module configured to compare the real-time monitored vital signs and body temperature data with preset thresholds, analyze whether the vital signs and body temperature data are abnormal based on the comparison results, determine the vital signs data abnormality score, and then determine the abnormality level based on the data abnormality score; The preset thresholds are: Heart rate threshold: 40-300 beats / minute. It should be noted that some patients may have a slow heart rate (over 40 beats / minute), or some patients may have heart disease, with a heart rate of 160-170 beats / minute. The threshold of respiratory data: respiratory rate, is 12-20 times / minute; The threshold of blood oxygen saturation data is 90%~100%; The threshold of body temperature data is 35.5℃ ~37.5℃; The early warning and adjustment module is configured to issue early warning reminders or temperature adjustments based on the analysis results of the data analysis module, specifically: If the analysis result shows that the vital characteristics data is abnormal, an early warning instruction is immediately generated in combination with the abnormal performance level and sent to the sound and light device 12, which plays a sound and flashes a light to alert the transport personnel; If the analysis result shows that the body temperature data is abnormal, a control instruction is immediately generated, and the heating plates on the carrier cloth 4, the upper belt 6 and the lower belt 7 are controlled by the control instruction signal to provide warmth for the injured person until the body temperature of the injured person is kept within the set threshold range; The feedback interaction module is configured to provide an interactive interface for remote monitoring personnel. On the interactive interface, the vital characteristics data and body temperature data of the injured person and the analysis results of the data analysis module are displayed in real time through visual icons and graphics. At the same time, the early warning instructions sent by the early warning and adjustment module to the sound and light device 12 are displayed in real time, and the working parameters of the heating plate are adjusted.

[0047] In this embodiment, when there is life characteristic data or body temperature data monitored in real time that does not fall within the corresponding preset threshold range, it is determined that the life characteristic data or body temperature data is abnormal.

[0048] In this embodiment, the calculation formula of the data abnormal performance score is as follows: Where Y represents the score of abnormal performance of life characteristics data; The amount of vital sign data that exceeds a preset threshold; It is the total amount of vital signs data, with a value of 3, specifically heart rate data, respiratory data, and blood oxygen saturation data; It is represented as the frequency of abnormal situations of the i-th vital sign data exceeding the preset threshold within the preset time period; It is expressed as the weight of the influence of data abnormality frequency on the abnormality degree of life characteristics, and the value range is ; It is represented as the corresponding preset threshold upper limit of the i-th vital sign data exceeding the preset threshold; It is represented as the corresponding preset threshold lower limit of the i-th vital sign data exceeding the preset threshold; It is represented as the value of the i-th vital sign data that exceeds the preset threshold; It is expressed as the weight of the influence of the degree of data abnormality on the abnormality of life characteristics, and the value range is ; Among them, the weights assigned to the frequency and degree of data anomaly are obtained by solving the matrix constructed after pairwise comparison and scoring using the hierarchical analysis method; the preset time period refers to a pre-set time range for obtaining anomaly analysis of vital sign data, such as one day; the frequency of abnormal situations refers to the number of times that the historical values ​​of vital sign data that currently exceeds the preset threshold exceed the preset threshold range within the preset time period.

[0049] In this embodiment, the abnormal performance level is obtained by normalizing the abnormal performance score of the data (the value range is ) as the matching condition, the abnormality level matched from the preset abnormality level mapping table, wherein the preset abnormality level mapping table consists of a series of abnormality representation value ranges and corresponding abnormality levels. The abnormality levels include mild, moderate and severe levels to reflect the severity of the data abnormality; for example, the abnormality representation value range is , the abnormal level is mild abnormality, and the abnormal representation value range is , the abnormal level is moderate abnormality, and the abnormal representation value range is , the abnormality level is severe abnormality.

[0050] In this embodiment, different abnormal performance levels correspond to different warning methods and generate different warning instructions. The significance of this is to take more targeted and appropriate warning measures according to the severity of the abnormality of the injured person's vital characteristics data, so that the handling personnel or rescue personnel can quickly and accurately understand the urgency of the injured person's current condition, thereby facilitating the subsequent reasonable allocation of rescue resources; for example, when the abnormal performance level of the injured person's vital characteristics data is mild, a warning instruction is generated to control the sound and light device 12 to emit soft, long-interval sounds to remind the handling personnel to pay attention to the injured person's condition; when the abnormal performance level is moderate, a warning instruction is generated to control the sound and light device 12 to emit rapid sounds and flashing lights to remind the handling personnel to check the injured person's condition as soon as possible and prepare for further processing; when the abnormal performance level is severe, a warning instruction is generated to control the sound and light device 12 to emit a continuous, loud alarm sound and a strong light signal to remind the handling personnel to immediately perform emergency rescue on the injured person.

[0051] The beneficial effects of the above technical solution are: by calculating the data abnormality performance score, the abnormality degree of the vital characteristics data of the injured person can be quantified, providing the transport personnel with an accurate basis for assessing the condition of the injured person; determining the abnormal performance level based on the data abnormality performance score can provide an effective basis for generating targeted early warning instructions, making the subsequent rescue measures more scientific, and thus helping to ensure that the transport personnel can respond quickly according to the urgency of the injured person's condition.

[0052] The technical effect of the above technical solution is: the data analysis module compares the real-time monitored vital signs data and body temperature data with the preset threshold value (the threshold value is set based on the normal physiological index range), and can accurately judge whether there is any abnormality in the data, ensuring that the assessment of the physical condition of the injured is accurate and reliable. Once the data exceeds or falls below the normal threshold value, it can respond quickly and detect abnormal changes in the vital signs of the injured in time, providing a timely basis for subsequent early warning and processing, avoiding rescue delays due to data lags. The early warning and adjustment module generates an early warning instruction immediately according to the data analysis results when the vital signs data is abnormal and sends it to the sound and light device 12. Through the dual reminder of sound and light, it quickly attracts the attention of the transport personnel, so that they can take corresponding first aid measures at the first time, improving the timeliness and effectiveness of the rescue. When the body temperature data is abnormal, it automatically generates an early warning instruction. The intelligent adjustment function can effectively cope with low temperature environments or hypothermia of the injured, reduce physiological risks caused by abnormal body temperature, and ensure the life safety of the injured. The feedback interaction module provides an intuitive interactive interface for remote monitoring personnel, which displays the vital characteristics data, body temperature data and analysis results of the injured in real time through visual icons and graphics, so that remote monitoring personnel can clearly and quickly understand the latest condition of the injured, which is convenient for them to make accurate judgments and decisions. The cloud analysis platform provides intelligent decision-making assistance for the rescue process through data analysis, early warning reminders and feedback interaction functions, so that rescue personnel can respond to various conditions of the injured more scientifically and reasonably, and improve the professionalism and success rate of the rescue.

[0053] Working principle: Through the design of the connecting components, the first bracket 1, the second bracket 2 and the third bracket 3 can be easily connected and folded, and then through the cooperation of the upper strap 6 and the shoulder strap 11, the folded stretcher can be carried on the body, which greatly reduces the force on the arms, can effectively relieve the fatigue of the carriers, and is conducive to the subsequent continuous carrying of the wounded, thereby improving the efficiency and sustainability of the transportation. Folding wheels 10 are installed on both sides of the third bracket 3. This design can facilitate a single person to carry the wounded when there are insufficient carriers. The vital signs monitoring system can monitor the vital signs data and body temperature data of the wounded in real time, and perform data compression, segmentation and transmission monitoring on the monitored data, which can improve the efficiency of data transmission and ensure the integrity of data transmission. By analyzing the data monitored by the cloud analysis platform, abnormal conditions of the wounded can be discovered in time, thereby issuing early warnings in time or maintaining the stability of the wounded's body temperature in time. By matching the vital signs monitoring system, real-time monitoring of the physical condition of the wounded is realized, changing the single function of the traditional stretcher that can only carry, so as to timely grasp the health status of the wounded.

[0054] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0055] While the embodiments of the present invention have been shown and described, it will be apparent to those skilled in the art that various changes, modifications, substitutions, and alterations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. An intelligent wounded patient transport stretcher system, comprising a first bracket (1), a second bracket (2), a third bracket (3), a carrying cloth (4) and a connecting assembly (5), characterized in that: The wounded person carrying stretcher is composed of a first bracket (1), a second bracket (2), a third bracket (3) and a carrying cloth (4), wherein the first bracket (1), the second bracket (2) and the third bracket (3) are connected to each other via a connecting assembly (5); The carrier cloth (4) is laid on a frame formed by the first bracket (1), the second bracket (2) and the third bracket (3); an upper belt (6) and a lower belt (7) are respectively provided above and below the carrier cloth (4); and heating plates are provided inside the carrier cloth (4), the upper belt (6) and the lower belt (7); It also includes a vital signs monitoring system and a cloud-based analysis platform; The life characteristic monitoring system is configured to monitor the life characteristic data and body temperature data of the injured person in real time through various sensors provided on the upper belt (6), wherein the life characteristic data includes heart rate data, respiratory data and blood oxygen saturation data; The real-time monitored vital signs and body temperature data are compressed and fragmented before being transmitted to the cloud analysis platform. The fragmentation process determines the possible fragmentation range based on network quality assessment indicators, rule base matching results, and policy priority analysis. The actual fragmentation size of the data is determined by analyzing the successful transmission of the current data and the possible fragmentation range, thus achieving dynamic fragmentation optimization. The cloud analysis platform is configured to compare and analyze the real-time monitored vital signs data and body temperature data with preset thresholds, and feed back the real-time monitored vital signs data and body temperature data and analysis results to the remote monitoring personnel, wherein the analysis results include: If the vital sign data shows abnormality, a reminder is issued through the sound and light device (12) on the first bracket (1); If the body temperature data is abnormal, the body temperature of the injured person is maintained by providing heating plates in the carrier cloth (4), the upper belt (6) and the lower belt (7).

2. The intelligent wounded transport stretcher system according to claim 1, characterized in that: The life sign monitoring system comprises: The data acquisition module is configured to deploy various sensors on the upper belt (6), and monitor the vital signs and body temperature data of the injured person in real time by fitting the sensors to the injured person's body, wherein the vital signs data include heart rate data, respiratory data and blood oxygen saturation data; The data preprocessing module is configured to preprocess the vital signs data and body temperature data, including: Remove invalid, duplicate, and abnormal data from vital signs and body temperature data; Use filtering algorithms to remove noise from vital signs and body temperature data; The data transmission module is configured to compress the pre-processed vital signs data and body temperature data and transmit them to the cloud analysis platform.

3. The intelligent wounded transport stretcher system according to claim 2, characterized in that: The data transmission module includes: a data compression module configured to compress the vital signs data and the body temperature data, and after compression, to package the vital signs data and the body temperature data and add data information, including a type identifier, a data timestamp, a data source device ID, and a data packet sequence number; The data fragmentation module is configured to fragment the packaged data packet into multiple fragments, transmit each fragment independently, and add the fragment sequence number and total number of fragments information to the fragment; The transmission monitoring module is configured to monitor various quality indicators during the data transmission process in real time, including transmission success rate, transmission delay, packet loss rate and bit error rate. By statistics and analysis of various indicators, it is determined whether there are any problems in the transmission process. If there are problems in the transmission process, the monitored quality indicators and problem information are promptly fed back to maintenance personnel.

4. The intelligent wounded transport stretcher system according to claim 3 is characterized in that: The data sharding module further includes: Evaluate the transmission network status in real time according to the set evaluation interval to obtain quality evaluation indicators; The obtained quality assessment indicators are used as screening conditions to match the initial sharding adjustment strategy from the preset rule library; If there is only a single initial sharding adjustment policy, the currently obtained initial sharding adjustment policy will be used as the actual sharding adjustment policy; If there are multiple initial shard adjustment strategies with the same adjustment direction, the maximum adjustment amplitude is extracted and combined with the adjustment direction to generate the actual shard adjustment strategy; If there are multiple initial sharding adjustment strategies and the adjustment directions are not consistent, obtain the corresponding rule association index of each initial sharding adjustment strategy; Determine the priority association score for each initial shard adjustment policy by combining the preset priority score of the rule association indicator with the policy effective value; Sort the initial sharding adjustment strategies from largest to smallest according to the priority association scores to obtain a strategy priority list; The actual shard adjustment strategy is determined by comparing the adjustment direction and priority correlation score difference of the first two strategies in the strategy priority list. Using the actual sharding adjustment strategy, adjust the initially defined sharding size of the current data to obtain a possible sharding range; Extract the success transmission probability of the current data within a preset time period and compare it with a preset success threshold determined based on the data priority; If the comparison result is positive, the middle value is selected from the possible sharding range as the actual sharding size of the current data; If the comparison result is negative, the data priority adjustment direction is adjusted according to the upper limit or lower limit of the range extracted from the possible range of the shard to obtain the actual shard size of the current data.

5. The intelligent wounded transport stretcher system according to claim 1, characterized in that: The cloud analysis platform includes: a data analysis module configured to compare the real-time monitored vital signs and body temperature data with preset thresholds, analyze whether the vital signs and body temperature data are abnormal based on the comparison results, determine the vital signs data abnormality score, and then determine the abnormality level based on the data abnormality score; The early warning and adjustment module is configured to issue early warning reminders or temperature adjustments based on the analysis results of the data analysis module. Specifically: If the analysis result shows that the vital characteristics data is abnormal, an early warning instruction is immediately generated in combination with the abnormal performance level and sent to the sound and light device (12), and the sound and light device (12) plays a sound and flashes a light to alert the transport personnel; If the analysis result shows that the body temperature data is abnormal, a control instruction is immediately generated, and the heating plates on the carrier cloth (4), the upper belt (6) and the lower belt (7) are controlled by the control instruction signal to provide warmth for the injured person until the body temperature of the injured person is maintained within the set threshold value; The feedback interaction module is configured to provide an interactive interface for remote monitoring personnel. On the interactive interface, the vital characteristics data and body temperature data of the injured person and the analysis results of the data analysis module are displayed in real time through visual icons and graphics. At the same time, the early warning instructions sent by the early warning and adjustment module to the sound and light device (12) are displayed in real time, and the working parameters of the heating plate are adjusted.

6. The intelligent wounded transport stretcher system according to claim 1, characterized in that: The preset threshold is specifically: Heart rate data threshold: 40~300 beats / minute; The threshold of respiratory data: respiratory rate, is 12-20 times / minute; The threshold of blood oxygen saturation data is 90%~100%; The threshold of body temperature data is 35.5℃ ~37.5℃.

7. The intelligent wounded transport stretcher system according to claim 1, characterized in that: The connecting assembly (5) comprises a connecting rod (51), a slot (52) and a connecting shaft (53); the slot (52) is provided at the connection between the first bracket (1), the second bracket (2) and the third bracket (3); the connecting rod (51) is inserted into the slot (52) and fixed via the connecting shaft (53), thereby achieving connection and folding of the first bracket (1), the second bracket (2) and the third bracket (3).

8. The intelligent wounded transport stretcher system according to claim 1, characterized in that: The upper strap (6) and the lower strap (7) are provided with tear-off stickers (8) for fixing and adjusting, and the back of the carrying cloth (4) located at the first bracket (1) is provided with a shoulder strap (11) for carrying a stretcher for carrying a wounded person.

9. The intelligent wounded transport stretcher system according to claim 1, characterized in that: Folding legs (9) are installed on both sides of the first bracket (1), folding wheels (10) are installed on both sides of the third bracket (3), and a movable groove (32) is provided on the third bracket (3), and a foot baffle (31) is provided on the movable groove (32), and the foot baffle (31) is connected to the movable groove (32) via a rotating shaft.

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