CN-122027710-A - Dynamic protocol adaptation-based multi-brand medical equipment vital sign data unified acquisition method

CN122027710ACN 122027710 ACN122027710 ACN 122027710ACN-122027710-A

Abstract

The invention discloses a dynamic protocol adaptation-based unified collection method for vital sign data of multi-brand medical equipment, and relates to the technical fields of medical equipment data collection, digital twin and protocol adaptation; according to the invention, by constructing the digital twin model of the medical equipment, the physical properties and protocol interaction logic of the equipment are accurately reproduced in the virtual environment, so that the protocol adaptation and the deduction of the medical equipment with different brands and models are realized, potential protocol conflict and performance bottleneck can be identified under the condition of not interfering the actual system operation, and the adaptation parameters and the resource allocation scheme are optimized, therefore, the compatibility and the efficiency of vital sign data acquisition of the medical equipment with multiple brands are greatly improved, and the accuracy and the instantaneity of data acquisition are ensured.

Inventors

ZHANG YING
WANG DONG
Gu Hongliu
WEI YIN
LIU BO
CHEN SHENGWEN
XU XIN
ZHENG DI
ZHANG ZHIYUAN

Assignees

杭州深麻智能科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260120

Claims (10)

1. A dynamic protocol adaptation-based unified collection method for vital sign data of multi-brand medical equipment is characterized by comprising the following specific steps: s1, constructing a digital twin model of medical equipment, namely acquiring physical properties and protocol interaction logic of target medical equipment, constructing the digital twin model accurately mapped with the physical equipment in a virtual environment, and realizing full-dimension reproduction of the physical properties and protocol interaction logic of the equipment; S2, adaptive previewing in a virtual environment, namely simulating protocol adaptation processes in different network environments and different load pressure scenes based on a digital twin model, monitoring the integrity of adaptation data and compatibility of protocol interaction in real time, and identifying potential protocol conflict and performance bottleneck; S3, optimizing the adaptation parameters and the resource allocation, namely adjusting the protocol analysis threshold, the data transmission path and other adaptation parameters according to the adaptation effect data obtained by adaptation and replay, and optimizing the allocation schemes of system computing nodes and bandwidth resources to form an adaptation strategy; S4, deploying an actual system, namely deploying the optimized adaptation parameters and the resource allocation scheme to an actual vital sign data unified acquisition system, and completing protocol adaptation and access of the new equipment; s5, real-time synchronization and dynamic adjustment of the running state, namely, synchronizing the running state data of the physical equipment in real time by the digital twin model, and switching the standby protocol analysis module in advance and adjusting the data verification rule when monitoring the protocol transmission abnormal trend caused by hardware aging, so that the continuity of vital sign data acquisition is ensured.
2. The method for uniformly collecting vital sign data of the multi-brand medical equipment based on dynamic protocol adaptation according to claim 1 is characterized in that the precise mapping of protocol interaction logic in S1 comprises the following specific steps of firstly collecting a private protocol document of a target medical equipment, extracting a field type, a field length and a field semantic association relation of a protocol, and establishing a field mapping table, wherein the field semantic association relation needs to cover a corresponding relation between the vital sign data type and an equipment control instruction, secondly extracting a communication time sequence rule of the protocol, comprising a sending interval of a data frame, a response waiting time length and a retransmission triggering condition, and finally establishing a verification mapping model of the protocol interaction logic based on the field mapping table and the communication time sequence rule, wherein the model can reproduce a verification mechanism of the protocol in a data transmission and instruction interaction process, and the verification mapping model comprises a calculation mode of a verification bit and feedback logic of an abnormal response.
3. The method for uniformly collecting vital sign data of multiple brands of medical equipment based on dynamic protocol adaptation according to claim 1, wherein the step S2 of identifying potential protocol conflicts adopts a protocol conflict risk coefficient calculation algorithm, and the formula is: wherein As a risk factor for protocol conflict, For the protocol frame overlap rate, In order to communicate the timing offset of the signal, For the degree of coincidence occupied by the ports, 、、 Is a weight coefficient.
4. The method for uniformly collecting vital sign data of the multi-brand medical equipment based on dynamic protocol adaptation according to claim 1 is characterized in that the specific process of simulating different network environments in the step S2 is that firstly, the network environments are divided into three levels of high, medium and low, corresponding parameters are high-level packet loss rate 0-2%, delay <50ms, medium-level packet loss rate 2-5%, delay 50-100ms, low-level packet loss rate 5-10% and delay >100ms, secondly, three levels are sequentially simulated in a virtual environment, simulation duration of each level is not less than 4 hours, test target equipment is independently accessed and simultaneously accessed with 10 accessed equipment in each level, finally, adaptive data integrity is counted once every 1 minute, and when the integrity is less than 95%, corresponding network parameters and access scenes are recorded.
5. The method for uniformly collecting vital sign data of multiple brands of medical equipment based on dynamic protocol adaptation according to claim 1, wherein the allocation scheme of the optimized data transmission path in S3 adopts a transmission path priority calculation algorithm with the formula: wherein For the transmission path priority level, In order for the path delay to be a delay, In order for the path to be a packet loss rate, For the path bandwidth utilization rate, 、、 Is a weight coefficient.
6. The method for uniformly collecting vital sign data of multi-brand medical equipment based on dynamic protocol adaptation according to claim 1 is characterized in that the resource allocation step in the multi-equipment concurrency scene in the step S3 comprises the steps of firstly counting sampling frequency and single frame data quantity of each equipment, secondly calculating resource demand weight, then allocating independent calculation threads according to the weight allocation calculation nodes, when the weight of a certain equipment is more than or equal to 20% of the total weight, finally monitoring the load rate of the node in real time, and when the load rate of a certain node is more than or equal to 80% continuously for 10 minutes, migrating the adaptation task of low-weight equipment on the node to the node with the load rate of <50%, and guaranteeing the system adaptation efficiency.
7. The method for uniformly collecting vital sign data of the multi-brand medical equipment based on dynamic protocol adaptation according to claim 1 is characterized in that the method further comprises a pre-verification step before the actual system is deployed in S4, wherein the method comprises the steps of firstly deploying an adaptation scheme to a testing environment configured with the actual system, secondly, performing 3-round verification, wherein a first-round test target device is singly connected for 2 hours, counting data collection accuracy rate every 30 seconds, a second-round test is connected with 20 devices in parallel for 2 hours, counting continuous uninterrupted duration, simulating a fluctuation scene of switching network grades every 10 minutes for 2 hours in a third-round simulation, counting adaptation strategy response time, and finally, deploying the adaptation scheme to the actual system if all the 3-round tests reach standards, and returning to the step 3 to re-optimize parameters if all the tests reach the standards.
8. The method for uniformly collecting vital sign data of the multi-brand medical equipment based on dynamic protocol adaptation is characterized in that the specific step of monitoring abnormal trends of a hardware aging protocol in the step S5 is that firstly, transmission error rates and operation power consumption of the physical equipment are collected every 5 minutes through a digital twin model, secondly, daily change rates are calculated, the daily change rates are the proportion of the difference value of the average error rate of the current day and the average error rate of the previous day, the daily change rates of the power consumption are the proportion of the difference value of the average power consumption of the current day and the average power consumption of the previous day, and finally, when the daily change rates of the transmission error rates are more than or equal to 0.2% in 3 days continuously and the daily change rates of the power consumption are more than or equal to 0.5% in 3 days continuously, the abnormal trends of the protocol caused by hardware aging are judged, and the adaptation strategy adjustment early warning is triggered.
9. The method for uniformly collecting vital sign data of the multi-brand medical equipment based on dynamic protocol adaptation is characterized in that the specific process of switching the standby protocol analysis module in advance in S5 is that firstly, 3 standby analysis modules based on the same type of equipment adaptation cases are preloaded in a digital twin model construction stage and are subjected to virtual previewing verification, secondly, after triggering and early warning, the standby modules are deployed to a test subsystem, temporary connection is established with target equipment, protocol analysis accuracy is verified, and finally, progressive switching is adopted, namely 10% of data is firstly switched to the standby modules, after 30 minutes are continued, the switching proportion is gradually increased to 100%, and interruption of data collection is avoided.
10. The method for uniformly collecting vital sign data of the multi-brand medical equipment based on dynamic protocol adaptation according to claim 1 is characterized in that the specific process of adjusting the data verification rule in the step S5 is that firstly, specific types of abnormal transmission of the physical equipment protocol are obtained through a digital twin model and comprise check bit errors and data frame truncation, secondly, a calculation window of the check bit is adjusted according to the check bit errors, an original fixed 16-bit window is adjusted to be a dynamic window, a slicing strategy of the data frame is adjusted according to the data frame truncation, the original fixed 256Byte slicing is adjusted to be dynamic slicing, and finally, the adjusted verification rule is synchronized to an actual collecting system, so that the updating of the adaptation strategy is completed.

Description

Dynamic protocol adaptation-based multi-brand medical equipment vital sign data unified acquisition method Technical Field The invention relates to the technical fields of medical equipment data acquisition, digital twin and protocol adaptation, in particular to a multi-brand medical equipment vital sign data unified acquisition method based on dynamic protocol adaptation. Background With the continuous progress of medical technology and the acceleration of medical informatization construction, medical equipment used in hospitals is increasingly various in types, brands and models, and the medical equipment plays a vital role in vital sign monitoring, disease diagnosis and treatment, however, medical equipment of different brands and models often adopt different communication protocols and data formats, so that vital sign data are difficult to collect and manage uniformly, and great challenges are brought to sharing and utilization of medical data. The traditional medical equipment data acquisition method mainly depends on special acquisition software or interfaces provided by equipment manufacturers, the problems of poor compatibility and weak expansibility are generally caused in the traditional method, and particularly, as medical equipment of different brands and models adopts different communication protocols and data formats, the traditional method often needs to develop specific data acquisition programs for each type of equipment, so that development cost and maintenance difficulty are increased, flexibility and expansibility of a data acquisition system are limited, in addition, the traditional method lacks effective coping strategies when facing equipment hardware aging, protocol updating and other changes, data acquisition interruption or data errors are easily caused, accuracy and timeliness of clinical diagnosis are affected, and more importantly, the traditional method is difficult to realize concurrent access and efficient resource allocation of multiple equipment and cannot meet the requirements of high concurrency, low delay and high reliability of the data acquisition system of modern medical informatization. Aiming at the problems of poor compatibility, weak expansibility, insufficient stability and the like of the traditional medical equipment data acquisition method, the invention provides a multi-brand medical equipment vital sign data unified acquisition method based on dynamic protocol adaptation. Disclosure of Invention The invention aims to make up the defects of the prior art, provides a multi-brand medical equipment vital sign data unified acquisition method based on dynamic protocol adaptation, which can realize the full-dimension reproduction of equipment physical properties and protocol interaction logic in a virtual environment by constructing a digital twin model of medical equipment, and furthermore, protocol adaptation previewing and resource allocation optimization are performed, and meanwhile, a real-time synchronization and dynamic adjustment mechanism of an operation state is introduced, so that countermeasures can be adopted in advance when hardware is aged or a protocol is updated, and continuity and accuracy of data acquisition are ensured. The invention provides a method for uniformly collecting vital sign data of multi-brand medical equipment based on dynamic protocol adaptation, which comprises the following specific steps of: s1, constructing a digital twin model of medical equipment, namely acquiring physical properties and protocol interaction logic of target medical equipment, constructing the digital twin model accurately mapped with the physical equipment in a virtual environment, and realizing full-dimension reproduction of the physical properties and protocol interaction logic of the equipment; S2, adaptive previewing in a virtual environment, namely simulating protocol adaptation processes in different network environments and different load pressure scenes based on a digital twin model, monitoring the integrity of adaptation data and compatibility of protocol interaction in real time, and identifying potential protocol conflict and performance bottleneck; S3, optimizing the adaptation parameters and the resource allocation, namely adjusting the protocol analysis threshold, the data transmission path and other adaptation parameters according to the adaptation effect data obtained by adaptation and replay, and optimizing the allocation schemes of system computing nodes and bandwidth resources to form an adaptation strategy; S4, deploying an actual system, namely deploying the optimized adaptation parameters and the resource allocation scheme to an actual vital sign data unified acquisition system, and completing protocol adaptation and access of the new equipment; s5, real-time synchronization and dynamic adjustment of the running state, namely, synchronizing the running state data of the physical equipment in real time by the digital twin model, and swit