Search

CN-121983344-A - Cross-border personnel isolation health monitoring system based on Internet of things

CN121983344ACN 121983344 ACN121983344 ACN 121983344ACN-121983344-A

Abstract

The invention relates to the technical field of electrical fault identification response, in particular to a cross-border personnel isolation health monitoring system based on the Internet of things. According to the invention, the personalized health interval is established, so that the health data of each cross-border person is based on the initial state, and misjudgment caused by physiological differences is avoided. The dynamic adjustment and multi-parameter analysis of the health interval can timely identify health fluctuation and give out risk early warning, and the monitoring sensitivity and accuracy are improved. The display weight is dynamically adjusted, so that a manager is helped to focus on key indexes, information redundancy is reduced, and efficiency is improved. The noise judgment and consistency analysis can effectively distinguish real change and interference data, and data reliability is enhanced. The monitoring interface is adjusted in real time according to the data change, so that the information is consistent with the isolation management state, the decision adaptability is improved, and the fine management capability in an isolation scene is enhanced.

Inventors

  • ZHU YUNFENG
  • MING HONGYAN
  • LI ZHAOHUI
  • LIU SHENGYING

Assignees

  • 广州国际旅行卫生保健中心(广州海关口岸门诊部)

Dates

Publication Date
20260505
Application Date
20260114

Claims (10)

  1. 1. Cross-border personnel isolation health monitoring system based on Internet of things, which is characterized in that the system comprises: The isolation reference module acquires body temperature, resting heart rate and blood oxygen data uploaded by a monitoring terminal worn by a cross-border isolation person through remote operation, counts health parameters acquired for the first time, constructs a trusted interval and stores the trusted interval as a monitoring reference in an isolation initial stage to form an initial health monitoring interval; the data migration module continuously collects health data in an isolation period based on the initial health monitoring interval, counts data in a time window, compares the data with a reliable interval of the previous period, dynamically adjusts a health parameter interval, and generates a remote risk identifier when a monitoring result meets a risk judging condition; The scene adjustment module invokes the remote risk identification, combines the isolation state and the health state level, determines the current isolation management scene, and carries out weight adjustment on the health parameters to obtain a parameter display sequence; The credibility judgment module analyzes consistency of continuous health parameter acquisition results according to the parameter display sequence, and determines credibility states of the health parameters by combining noise judgment conditions to generate credibility grades; And the remote presentation module dynamically adjusts the presentation mode of the health data according to the credibility level and the parameter presentation sequence and outputs a monitoring interface matched with the current isolation management state.
  2. 2. The internet of things-based cross-border personnel isolation health monitoring system of claim 1, wherein the initial health monitoring interval comprises an individual health reference range, an initial parameter distribution characteristic and a normal reference interval, the remote risk identifications are specifically risk state identifications, abnormal type identifications and risk level identification information, the parameter display sequence comprises a parameter display priority list, scene corresponding sequencing results and display level correspondence, the trusted levels are specifically data trusted level identifications, stability state levels and data reliability identifications, and the monitoring interface comprises an interface information display area, a health parameter display unit and a state prompt display area.
  3. 3. The internet of things-based cross-border personnel isolation health monitoring system of claim 1, wherein the trusted interval is body temperature, resting heart rate and blood oxygen data collected by the isolation personnel in an initial stage, and is analyzed by continuous collection and time correlation; The health parameter interval is a range of values surrounding three types of data, body temperature, resting heart rate and blood oxygen, with the cycle advancing over time during the isolation process.
  4. 4. The internet of things-based cross-border personnel isolation health monitoring system of claim 1, wherein the remote risk identification is that the system performs association analysis on data and a current health parameter interval in the process of continuously receiving health data; The initial health monitoring interval is a basic reference range formed by the initial system starting according to the body temperature, resting heart rate and blood oxygen data acquired synchronously for the first time.
  5. 5. The internet of things-based cross-border personnel isolation health monitoring system of claim 1, wherein the isolation reference module comprises: The remote acquisition sub-module acquires body temperature, resting heart rate and blood oxygen data uploaded by a monitoring terminal worn by a cross-border isolation person through remote operation, screens data in the same acquisition period, and acquires a synchronous health data set; the first acquisition statistics submodule extracts a first body temperature, a resting heart rate and a blood oxygen value based on the synchronous health data set, calculates three average values and compares the three average values with acquisition times to obtain a first health parameter set; And the interval database building sub-module is used for integrating the body temperature, the resting heart rate and the blood oxygen value sequence based on the first health parameter set, calculating a standard deviation, judging an abnormal deviation amplitude, acquiring the deviation and synthesizing an interval expansion amplitude, and establishing an initial health monitoring interval.
  6. 6. The internet of things-based cross-border personnel isolation health monitoring system of claim 1, wherein the interval migration module comprises: The continuous acquisition submodule continuously acquires health data in an isolation period based on the initial health monitoring interval, records time stamps, screens continuous and complete data of the time stamps, eliminates repeated records and acquires window health data sets; The interval comparison sub-module invokes the window health data set to count the average value of the health parameters, compares the average value with the upper limit and the lower limit offset amplitude of the initial health monitoring interval, counts the overrun times, adjusts the upper limit and the lower limit of the interval of the body temperature, the resting heart rate and the blood oxygen, updates the period identification and establishes the migration health parameter interval; the risk identification sub-module calculates absolute values of deviation amounts according to the migration health parameter interval and the body temperature, resting heart rate and blood oxygen deviation amounts in the window health data set, compares the absolute values with a risk judgment threshold value, acquires various risk amounts, synthesizes risk intensity amounts and generates a remote risk identification; the health data includes body temperature, resting heart rate, and blood oxygen sequence.
  7. 7. The internet of things-based cross-border personnel isolation health monitoring system of claim 1, wherein the scene weight module comprises: The remote risk identification calling submodule calls the remote risk identification, detects the consistency with the isolation state time identification, eliminates the missing identification record, and performs matching verification on the remote risk identification source and the personnel identification to obtain an effective risk identification set; The scene judging submodule is used for associating the isolation state with the health state grade identification based on the effective risk identification set, comparing the isolation state with a scene mapping rule, judging the scene type, executing cross verification of the health state and the scene type, eliminating conflict combination and establishing a current management scene identification; and the display sequence generation sub-module associates health parameters with a display record sequence according to the current management scene identification, adjusts weight items of body temperature, resting heart rate and blood oxygen, calculates comprehensive sequencing quantity and generates a display sequence index to obtain a parameter display sequence.
  8. 8. The system for cross-border personnel isolation health monitoring based on the internet of things according to claim 7, wherein the consistency process of the detection and isolation state time mark is that the time stamp recorded in the remote risk mark is compared with the interval of the start time and the end time corresponding to the isolation state, and when the time stamp is out of the duration range of the isolation state, the corresponding remote risk mark is judged to be inconsistent record and is removed; the matching verification process of the remote risk identification source and the personnel identification is that the source identification field contained in the remote risk identification and the equipment identification field registered in the personnel identification are verified in a one-to-one correspondence mode, and when the source identification field is inconsistent with the equipment identification field, the corresponding record is excluded from the effective risk identification set; The process of comparing the isolation state with the scene mapping rule is that the state grade identification corresponding to the isolation state is matched with a scene mapping rule table stored in advance, and the scene type is confirmed only when the matching result is unique; The weight item process of body temperature, resting heart rate and blood oxygen regulation is that when the isolation state grade corresponding to the current management scene identification is intensified isolation, the body temperature weight item is increased and the resting heart rate weight item is reduced, when the isolation state grade corresponding to the current management scene identification is conventional isolation, the blood oxygen weight item is increased and the proportion relation between the body temperature weight item and the resting heart rate weight item is kept unchanged, and the parameter display sequence is generated.
  9. 9. The internet of things-based cross-border personnel isolation health monitoring system of claim 1, wherein the trusted decision module comprises: The sequence association submodule associates body temperature, resting heart rate and blood oxygen value sequences based on the parameter display sequence, screens data with consistent time marks and eliminates missing fields to obtain a sequence acquisition parameter sequence; the consistency analysis submodule extracts the difference amounts of the body temperature, the resting heart rate and the blood oxygen according to the sequence acquisition parameter sequence and gathers the difference sequences, compares the difference sequences with a noise judgment threshold value, screens out the super-threshold difference item, calculates the consistency intensity amount and generates a credible judgment mark to obtain a credible state mark; and the level generation sub-module checks the consistency of the trusted judgment mark and the noise judgment condition based on the trusted state mark, the health state level mark and the isolation state mark, eliminates the conflict mark and generates the trusted level.
  10. 10. The internet of things-based cross-border personnel isolation health monitoring system of claim 1, wherein the telepresence module comprises: the level analysis sub-module checks the consistency of the credible level identification and the personnel identification based on the credible level and the parameter display sequence, eliminates the missing item, compares the index sequence with the health parameter identification and eliminates the unmapped item, and acquires the presentation control identification set; the style adjustment submodule extracts and associates the display weight with the current isolation management state based on the presentation control identification set, compares the display weight with a credible level threshold to generate a style switching mark, acquires the style driving quantity and writes a style mapping identification to obtain display style configuration; and the interface output submodule acquires an isolation management state identification sequence based on the display style configuration, screens and verifies the item consistent with the style mapping identification of the interface component identification, adjusts the display sequence of the component, writes the interface version identification and outputs the monitoring interface.

Description

Cross-border personnel isolation health monitoring system based on Internet of things Technical Field The invention relates to the technical field of remote operation, in particular to a cross-border personnel isolation health monitoring system based on the Internet of things. Background The technical field of remote operation comprises a related technical system for collecting, transmitting and centrally managing personnel status and environmental information in an offsite scene, the technical field is based on a communication network, a sensing terminal is used as an information source, a remote management platform is used as a control and presentation carrier, and the core content relates to aspects of personnel identity binding, sensing data acquisition, data transmission link organization, remote status presentation and management control and the like. The field is generally developed around management demands of people not under the same physical space condition, related information of people scattered at different positions is collected to a unified node through arranging a sensing device with communication capability, continuous grasp and centralized processing of the states of the people in the cross-regional area are realized, and the method is suitable for various application scenes such as public management medical supervision and isolation management. The cross-border personnel isolation health monitoring system based on the Internet of things is a system structure for uniformly associating and continuously collecting identity information, physiological parameters and isolation environment states of isolated personnel by using a sensing unit with networking capability and a communication node in a cross-border personnel isolation management scene. The technical matters aimed by the system comprise cross-border personnel information registration binding, a body temperature acquisition device worn or deployed by personnel in an isolation area, a heart rate acquisition device and an access mode of a positioning identification module, and an organization mode of transmitting acquired information to a designated management platform through cellular communication or a local area network, and also comprise networking acquisition configuration of entrance and exit states of an isolation place and room environment parameters, wherein personnel health related data and isolation state data are correspondingly collected through an Internet of things node for centralized checking and management by a remote management end. The existing monitoring technology mainly relies on fixed health parameter threshold values, and fails to establish health references according to individual differences, so that different crowds can evaluate the health parameters by using unified standards, error judgment is easy to cause, monitoring data are usually collected once, cross-time correlation analysis is lacked, dynamic changes of individual health states cannot be reflected timely, potential risks cannot be effectively identified by management staff, the health parameter display is not adapted, all data are displayed with equal rights, key indexes are difficult to highlight, environmental interference such as equipment looseness or communication fluctuation is not effectively processed, false alarm is easy to generate, a monitoring interface is not adjusted along with the health data or isolation state change, sensitivity of the management staff to abnormal signals is gradually lost, and the adaptability of the system in complex isolation scenes is reduced. Disclosure of Invention The invention aims to solve the defects in the prior art, and provides a cross-border personnel isolation health monitoring system based on the Internet of things. In order to achieve the purpose, the cross-border personnel isolation health monitoring system based on the Internet of things comprises the following technical scheme: The isolation reference module acquires body temperature, resting heart rate and blood oxygen data uploaded by a monitoring terminal worn by a cross-border isolation person through remote operation, counts health parameters acquired for the first time, constructs a trusted interval and stores the trusted interval as a monitoring reference in an isolation initial stage to form an initial health monitoring interval; the data migration module continuously collects health data in an isolation period based on the initial health monitoring interval, counts data in a time window, compares the data with a reliable interval of the previous period, dynamically adjusts a health parameter interval, and generates a remote risk identifier when a monitoring result meets a risk judging condition; The scene adjustment module invokes the remote risk identification, combines the isolation state and the health state level, determines the current isolation management scene, and carries out weight adjustment on the health parameters to obtain