CN-122027657-A - Cloud edge collaborative management method and system for home care service

CN122027657ACN 122027657 ACN122027657 ACN 122027657ACN-122027657-A

Abstract

The invention discloses a cloud edge collaborative management method and system for home care service, which are used for carrying out integrity check on care request data to identify transmission abnormal sections, carrying out priority encapsulation according to the emergency degree of data related to the abnormal sections, carrying out weighted evaluation on geographic coordinates and real-time load states of comprehensive care personnel to screen optimal service nodes, establishing a downlink push channel to transmit task information, caching task data to form a local mirror image on an edge side, supporting offline service execution and maintenance record retention in a weak network environment, carrying out conflict pre-detection on unsynchronized data to screen out safety sections to construct recovery configuration, determining confirmation nodes based on the time delay distribution of a synchronous progress, and carrying out bidirectional response check to finish cloud edge data synchronization. The invention is suitable for the network fluctuation characteristic of the home scene, and can ensure the preferential response of the nursing request and the reliable transmission of the service data.

Inventors

HUANG WEIHONG
HU JIANZHONG
ZHONG JING
LI JING
GAO YUE
WANG CONG
LU HONGXIA
LIU SHUO

Assignees

中南大学
中移(成都)信息通信科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260317

Claims (10)

1. A cloud edge collaborative management method for a home care service is characterized by comprising the following steps: Acquiring nursing service request data uploaded by an edge node, performing message integrity verification on the nursing service request data to identify an abnormal data segment, and retransmitting and packaging the emergency priority according to the abnormal data segment to form a service request data frame; cloud resource route matching is carried out according to the service request data frame to form dispatch routing configuration, proximity weighting screening is carried out on the dispatch routing configuration to extract a target service node, and a downlink push channel is constructed through the target service node; Performing edge cache mapping on the downlink push channel to form a local task mirror image, executing offline service according to the local task mirror image to generate nursing record data, and performing increment marking on the nursing record data to generate a data packet to be synchronized; carrying out link connectivity detection on the data packet to be synchronized to identify a synchronization interruption feature, activating a breakpoint continuous transmission strategy based on the synchronization interruption feature to form a continuous transmission offset parameter, and carrying out incremental difference extraction on the care record data by utilizing the continuous transmission offset parameter to construct consistency recovery configuration; And carrying out service state polling based on the consistency recovery configuration to form a synchronous completion degree curve, carrying out end-to-end time delay evaluation on the synchronous completion degree curve to determine a data confirmation node, and carrying out bidirectional response verification according to the data confirmation node to complete cloud edge collaborative management of the home care service.
2. The method of claim 1, wherein said encapsulating the emergency priority retransmission from the anomalous data segment to form a service request data frame comprises: performing abnormal position positioning on the abnormal data segment to obtain a missing field index; carrying out emergency field association analysis and extraction on service emergency level according to the missing field index; performing priority coding on the service urgency level and the missing field index to form a retransmission priority identifier; And carrying out priority framing encapsulation on the abnormal data segment according to the retransmission priority identification to form a service request data frame.
3. The method of claim 1, wherein said performing a proximity weighted screening of the dispatch routing configuration to extract target service nodes comprises: extracting a nursing staff geographic coordinate set and a service target position from the dispatch routing configuration; performing distance quantization on the geographic coordinate set of the nursing staff and the service target position to generate a distance weight matrix; carrying out load perception weighted fusion on the distance weight matrix to form a comprehensive scoring sequence; and selecting and determining a target service node by the optimal node according to the comprehensive scoring sequence.
4. The method of claim 1, wherein said executing an offline service in accordance with said local task image generates care record data, comprising: analyzing a nursing task list from the local task mirror image; Detecting sign abnormality according to the nursing task list to generate a sign state mark; Carrying out emergency association on the sign state mark and the local task mirror image to form an emergency care item; The emergency care entry is prioritized and persisted to form care record data.
5. The method of claim 1, wherein the activating a breakpoint resume policy based on the synchronization interruption feature forms a resume offset parameter, comprising: positioning the interruption time of the synchronous interruption feature to obtain a breakpoint position mark; inquiring the urgency of the data to be transmitted according to the breakpoint position identification to generate an urgency priority sequence; the emergency priority sequence is subjected to priority sequencing to form a priority transmission queue; and performing continuous transmission offset analysis on the priority transmission queue to form continuous transmission offset parameters.
6. The method of claim 1, wherein the incremental difference extraction of the care record data using the continuous offset parameter builds a consistency recovery arrangement comprising: positioning an unsynchronized section of the care record data according to the continuous transmission offset parameter; Performing conflict pre-detection analysis on the unsynchronized sections to generate conflict risk identifiers; screening the conflict risk identifier by a safety section to identify a conflict-free difference data block; And constructing an increment update queue according to the conflict-free difference data block to form a consistency recovery configuration.
7. The method of claim 1, wherein said performing an end-to-end delay evaluation on the synchronization completion curve determines a data validation node, comprising: Extracting transmission time stamps of all stages from the synchronization completion degree curve; Carrying out segmentation delay analysis according to the transmission time stamps of each stage to obtain delay distribution; Performing fluctuation feature analysis on the time delay distribution to generate a self-adaptive time delay threshold; and determining a data confirmation node according to the comparison of the self-adaptive time delay threshold and the time delay distribution.
8. A method according to claim 3, wherein said performing load-aware weighted fusion on said distance weight matrix forms a composite scoring sequence, comprising: Extracting a candidate nursing staff identification set from the distance weight matrix; Inquiring the current task load according to the candidate nursing staff identification set to obtain load saturation; performing service idleness evaluation on the load saturation to generate a load matching score; And carrying out weighted fusion on the load matching score and the distance weight matrix to form a comprehensive scoring sequence.
9. The method of claim 6, wherein said performing a conflict pre-check analysis on said unsynchronized sections generates a conflict risk identification comprising: carrying out importance grading and blocking on the unsynchronized sections to obtain a grading data block sequence; Performing differential verification on the hierarchical data block sequence according to the importance level to generate a hierarchical verification value; Cascade coding is carried out on the grading check values according to the priority order to form a grading check chain; and carrying out lightweight aggregation on the hierarchical verification chain to generate a conflict risk identifier.
10. The cloud edge collaborative management system for the home care service is characterized by comprising the following components: The data receiving module is used for acquiring nursing service request data uploaded by the edge node, executing message integrity check to identify an abnormal data segment aiming at the nursing service request data, and retransmitting and packaging the abnormal data segment according to the emergency priority to form a service request data frame; The route distribution module is used for carrying out cloud resource route matching according to the service request data frame to form a dispatch routing configuration, carrying out proximity weighted screening on the dispatch routing configuration to extract a target service node, and constructing a downlink push channel through the target service node; the edge buffer module is used for carrying out edge buffer mapping on the downlink push channel to form a local task mirror image, executing offline service according to the local task mirror image to generate nursing record data, and carrying out increment marking on the nursing record data to generate a data packet to be synchronized; The breakpoint continuous transmission module is used for carrying out link connectivity detection on the data packet to be synchronized to identify a synchronization interruption feature, activating a breakpoint continuous transmission strategy based on the synchronization interruption feature to form a continuous transmission offset parameter, and carrying out incremental difference extraction on the care record data by utilizing the continuous transmission offset parameter to construct consistency recovery configuration; and the synchronous confirmation module is used for carrying out service state polling based on the consistency recovery configuration to form a synchronous completion degree curve, carrying out end-to-end time delay evaluation on the synchronous completion degree curve to determine a data confirmation node, and carrying out bidirectional response verification according to the data confirmation node to complete cloud edge collaborative management of the home care service.

Description

Cloud edge collaborative management method and system for home care service Technical Field The invention relates to the technical field of intelligent medical treatment and Internet of things, in particular to a cloud edge collaborative management method and system for a home care service. Background The quality of service and response efficiency of home care services, which are important measures against population aging, are directly related to health care of care subjects. The cloud side cooperative architecture is introduced, so that the nursing service management can give consideration to the resource scheduling capability of the cloud side and the instant response characteristic of the edge side, but the uncertainty of the network environment in the home scene brings a plurality of challenges to the floor application of the architecture. The current home care management scheme lacks an effective abnormality recognition and differentiation processing mechanism at the data transmission layer, and when a part of a care request is lost in the transmission process, the whole retransmission mode is often adopted for recovery, so that the network burden is increased, and the response time of an emergency request is delayed. In the task distribution aspect, the existing scheme depends on static qualification matching rules for the selection of nursing staff, and the service distance and the current working state of the staff cannot be included in dynamic decisions, so that the unbalanced condition that part of nursing staff are backlogged in tasks and the other part of staff are idle is easily caused. At the data synchronization level, after uploading interruption caused by network fluctuation, the edge equipment lacks an accurate distinguishing means for transmitted data and to-be-transmitted data during synchronization recovery, and also lacks the prejudging capability for cloud edge data version conflict, so that data consistency is difficult to guarantee. Disclosure of Invention The invention discloses a cloud edge collaborative management method and a cloud edge collaborative management system for home care services, which aim at positioning transmission abnormality of care request data and package retransmission requests according to emergency degree, comprehensively evaluate geographic positions and load states of nursing staff to screen optimal service nodes, establish task mirror images at edge sides to support offline service execution and record retention, realize data consistency recovery under an interruption scene by adopting a strategy combining breakpoint continuous transmission and conflict pre-detection, and complete synchronous closed loop of the care service data through time delay evaluation and bidirectional verification. The first aspect of the invention provides a cloud edge collaborative management method for a home care service, which comprises the following steps: Acquiring nursing service request data uploaded by an edge node, performing message integrity verification on the nursing service request data to identify an abnormal data segment, and retransmitting and packaging the emergency priority according to the abnormal data segment to form a service request data frame; cloud resource route matching is carried out according to the service request data frame to form dispatch routing configuration, proximity weighting screening is carried out on the dispatch routing configuration to extract a target service node, and a downlink push channel is constructed through the target service node; Performing edge cache mapping on the downlink push channel to form a local task mirror image, executing offline service according to the local task mirror image to generate nursing record data, and performing increment marking on the nursing record data to generate a data packet to be synchronized; carrying out link connectivity detection on the data packet to be synchronized to identify a synchronization interruption feature, activating a breakpoint continuous transmission strategy based on the synchronization interruption feature to form a continuous transmission offset parameter, and carrying out incremental difference extraction on the care record data by utilizing the continuous transmission offset parameter to construct consistency recovery configuration; And carrying out service state polling based on the consistency recovery configuration to form a synchronous completion degree curve, carrying out end-to-end time delay evaluation on the synchronous completion degree curve to determine a data confirmation node, and carrying out bidirectional response verification according to the data confirmation node to complete cloud edge collaborative management of the home care service. The second aspect of the present invention provides a cloud edge collaborative management system for home care services, comprising: The data receiving module is used for acquiring nursing service request data uploaded b