CN-121973255-A - Autonomous medicine feeding and safety monitoring method and robot

CN121973255ACN 121973255 ACN121973255 ACN 121973255ACN-121973255-A

Abstract

The embodiment of the invention provides an autonomous medicine delivery and safety monitoring method and a robot, which comprise the steps of preloading a historical complexion health index database of a user in response to a received medicine delivery instruction, controlling the robot to move to a target user position of the user, carrying out identity verification on the target user position, when the identity verification passes, taking a personalized medicine application scheme of the user and the historical complexion health index database, collecting blood pressure, heart rate and body temperature data of the user to obtain a current day complexion health index of the user, comparing the current day complexion health index with the historical complexion health index database to obtain the complexion health degree of the user, fusing the complexion health degree, physiological data and medicine tabu information to generate a medicine risk result, adjusting the personalized medicine application scheme based on the medicine risk result, and dynamically generating and outputting target medicine application guiding information. The method improves the accuracy, interactive experience and safety of the medicine delivery service.

Inventors

HUANG ZHONGMING
GUO GENGSHENG
XU ZHILONG
FANG FANG
REN YONGZHEN
FENG WEI
YANG MINGQI
WANG YANYU
ZHANG YU
CHEN YAOMING
CAO JIEMING
KONG DEYUN
HUANG JIESEN
LEI JINGUO

Assignees

集美大学

Dates

Publication Date: 20260505
Application Date: 20260408

Claims (10)

1. An autonomous drug delivery and safety monitoring method, wherein the method is applied to a robot, the method comprising: In response to receiving the medication delivery instruction, preloading a historical facial wellness index database of the user; the robot is controlled to move to the target user position of the user through the CAN bus, and the user is authenticated at the target user position; Under the condition that the identity verification of the user is passed, the personalized medication scheme of the user and the historical complexion health index database are called; collecting blood pressure, heart rate and body temperature data of the user to obtain the current day complexion health index of the user; Selecting effective complexion deviation value data meeting preset standard processing conditions from deviation data values of complexion health indexes of the previous N days of the user, wherein N is an integer greater than 1; If the number of days corresponding to the effective complexion deviation value data is smaller than a preset number of days, calculating the complexion health degree of the user by taking the health reference mean value matched by the complexion feature reference database of the healthy crowd as a benchmark and taking the degree of deviation of the complexion health index of the current day from the health reference mean value until the number of days corresponding to the effective complexion deviation value data reaches the preset number of days, and calculating the complexion health degree of the user based on the effective complexion deviation value data and a preset complexion health judgment threshold value; fusing the complexion health degree with physiological data of the user to obtain the health state of the user; generating a medication risk result based on the health state of the user and corresponding medication contraindication information; And adjusting the personalized medication scheme based on the medication risk result, and dynamically generating and outputting target medication guidance information.
2. The method of claim 1, wherein the adjusting the personalized medication intake regimen based on the medication risk results dynamically generates and outputs target medication guidance information, comprising: If the medication risk result indicates that the risk exists, generating and outputting alarm information, and suspending or prohibiting the medication output of the personalized medication scheme; And if the medication risk result represents no risk, generating medication guidance information based on the personalized medication scheme, and outputting the complexion health degree and the medication guidance information of the user on a display interface.
3. The method of claim 1, wherein the collecting blood pressure, heart rate, and body temperature data of the user to obtain the user's current day complexion health index comprises: Based on the age and sex information of the user, matching healthy reference mean values and standard deviations of the corresponding complexion feature parameters of all colors from a preset healthy crowd complexion feature reference database, wherein the healthy crowd complexion feature reference database is constructed by collecting complexion images of large-sample healthy crowd and carrying out layering statistics on the mean values and standard deviations of the complexion feature parameters according to different age layers and sexes; For a currently acquired face image, eliminating face makeup data, hereditary color cast data, face shielding data and illumination abnormal data based on color characteristic parameters of each color to obtain effective data in the face image; calculating the deviation degree score of each complexion characteristic parameter by adopting a Gaussian attenuation function based on the actual measurement value of each complexion characteristic parameter and the corresponding health reference mean value and standard deviation; in each face area of the face image, weighting and calculating the health score of each face area according to the deviation score of the face characteristic parameters contained in each face area and preset index weight; and calculating the current day face health index of the user according to the health score of each face area and the weight of each face area.
4. The method of claim 1, wherein the calculating the user's complexion health based on the valid complexion bias value data and a preset complexion health determination threshold comprises: calculating the average value of the effective complexion deviation value data to obtain the average value of the complexion deviation values of the previous N days; obtaining a current complexion deviation value based on a difference value between the current complexion health index and a preset standard complexion health index; determining a deviation difference between the current day face color deviation value and the previous N day face color deviation value average value; and calculating the complexion health degree based on the deviation difference value and the preset complexion health judgment threshold value.
5. The method according to claim 4, wherein the method further comprises: if the deviation difference value is smaller than a preset complexion health judgment threshold value, determining that the complexion health degree is that the complexion health index on the same day has no obvious fluctuation relative to the deviation level of an N balance before the person, and the face state is stable; And if the deviation difference value is greater than or equal to a preset face color health judging threshold value, determining that the face color health degree is that the face color health index on the same day is obviously different from the deviation level of the N balance before the person, and the face state is abnormal.
6. The method of claim 1, wherein generating medication risk results based on the user's health status and corresponding medication contraindication information comprises: Acquiring a preset risk scene judgment rule; generating an initial medication risk result based on the health state of the user and corresponding medication contraindication information; And adjusting the initial medication risk result based on the preset risk scene judgment rule to obtain the medication risk result.
7. The method according to claim 1, wherein the method further comprises: Performing illumination calibration and pixel standardization processing on a key face color area of the target front face image of the user to obtain a processed face image; Intercepting a key face color area from the processed face image and extracting various face color characteristic parameters; Quantifying the plurality of facial feature parameters and the key facial color regions into the current day facial color health index; updating the historical complexion health index database based on the current complexion health index.
8. The method according to claim 1, wherein the method further comprises: Acquiring the age, sex and health status of the user; updating the preset complexion health judgment threshold based on the age, sex and health status of the user.
9. The method according to claim 4, wherein the method further comprises: if the target medication instruction information belongs to the safety level, controlling the robot to send the medicine and displaying the complexion health degree and the medication mode; If the target medication instruction information belongs to a cautious level, triggering the robot to output alarm information and pause medication, and displaying the current day face health index, the deviation difference value and the physiological index data of the user so as to enable the user side to confirm the alarm information; And if the target medication guidance information belongs to an unsafe level, triggering the robot to output continuous alarm information and forbid medicine output, and reacquiring the blood pressure, heart rate and body temperature data of the user so as to adjust the target medication guidance information.
10. The robot is characterized by comprising a mobile chassis module, a medicine storage and configuration module, a face recognition module with identity authentication and face state feature extraction functions, a voice interaction module, a water taking module, a health monitoring module, a medicine lifting platform and a bin gate which are respectively and electrically connected with a central control module through corresponding interfaces to form a data interaction and control link, wherein: The central control module is fixed in the waterproof cavity of the robot, the control circuit board and the circuit board protection shell are integrated inside, and the control circuit board is fixed in the circuit board protection shell; The central control module is used for responding to the received medicine delivery instruction, triggering the health monitoring module to preload the historical complexion health index database of the user; the method comprises the steps of controlling a mobile chassis module to drive a robot to move to a target user position of a user through a CAN bus, starting a face recognition module to carry out identity verification on the user at the target user position, calling a personalized medicine taking scheme of the user and a historical face health index database under the condition that the user passes the identity verification, acquiring data of blood pressure, heart rate and body temperature of the user by adopting a health monitoring module to obtain the current face health index of the user, selecting effective face color deviation value data meeting preset standard processing conditions from deviation data values of the previous N-day face health index of the user, wherein N is an integer larger than 1, calculating the face health degree of the user until the preset days corresponding to the effective face color deviation value data are reached based on the preset days, if the number of days corresponding to the effective face color deviation value data is smaller than the preset days, taking the health reference mean value matched by the face color feature reference database of the health crowd as a standard, calculating the face health degree of the user until the number of days corresponding to the effective face color deviation value data reaches the preset days, calculating the face health degree of the user based on the preset days, determining that the face health degree of the user corresponds to the face health degree, and the face health state of the user is based on the user face health index, adjusting the face health state, and based on the user face health state, and comparing the face health state and the user face health index data, and controlling the water taking module to fill warm water based on the target medication guiding information, starting the medicine lifting platform and the bin gate to take medicine from the medicine storage and configuration module through the medicine lifting platform and convey the medicine to a target user position of the user, and controlling the voice interaction module to output the complexion health degree of the user and the target medication guiding information.

Description

Autonomous medicine feeding and safety monitoring method and robot Technical Field The invention relates to the technical field of data processing, in particular to an autonomous medicine feeding and safety monitoring method and a robot in the technical field of data processing. Background In the related art, in the aged, hospitals and community families, the aged, chronically ill patients and other specific people usually need to take a plurality of medicines regularly and quantitatively. At present, the main medicine delivery and monitoring modes still highly depend on manual completion, namely medical staff or family members manually sort medicines, deliver the medicines at fixed time and monitor taking the medicines. The method has the obvious defects that firstly, a large amount of manpower is consumed, the punctuality of medicine delivery is difficult to ensure, secondly, the risk of medicine mistaking, missed taking or wrong dosage is difficult to ensure due to manual operation, the medication safety is difficult to ensure, furthermore, a guardian cannot grasp key physiological indexes such as the body temperature, the blood pressure and the like of a medicine taker in real time, medication contraindications caused by physical condition changes are difficult to discover in time, and serious potential safety hazards exist when a patient burns or blood pressure is abnormal, for example, medicines which are in conflict with the medication are still taken. In order to reduce the manual burden, some automatic medicine delivery robots or intelligent medicine boxes are also on the market. However, these devices are relatively single-functioning, and most only enable storage, timed reminder, and simple delivery of the drug, which is a "passive delivery" mode. They generally lack the ability to interact deeply with the user, and most importantly, their drug delivery process is completely disjoint from the user's real-time health status. The devices cannot actively detect the physiological state of the user before administration, and do not have the capability of carrying out linkage analysis on health data and drug information to judge medication safety. Disclosure of Invention The invention aims to provide an autonomous drug delivery and safety monitoring method and a robot, which adopt the following technical scheme: In a first aspect, an embodiment of the present invention provides an autonomous drug delivery and safety monitoring method, the method including: In response to receiving the medication delivery instruction, preloading a historical facial wellness index database of the user; the robot is controlled to move to the target user position of the user through the CAN bus, and the user is authenticated at the target user position; Under the condition that the identity verification of the user is passed, the personalized medication scheme of the user and the historical complexion health index database are called; collecting blood pressure, heart rate and body temperature data of the user to obtain the current day complexion health index of the user; Selecting effective complexion deviation value data meeting preset standard processing conditions from deviation data values of complexion health indexes of the previous N days of the user, wherein N is an integer greater than 1; If the number of days corresponding to the effective complexion deviation value data is smaller than a preset number of days, calculating the complexion health degree of the user by taking the health reference mean value matched by the complexion feature reference database of the healthy crowd as a benchmark and taking the degree of deviation of the complexion health index of the current day from the health reference mean value until the number of days corresponding to the effective complexion deviation value data reaches the preset number of days, and calculating the complexion health degree of the user based on the effective complexion deviation value data and a preset complexion health judgment threshold value; fusing the complexion health degree and the physiological data to obtain the health state of the user; generating a medication risk result based on the health state of the user and corresponding medication contraindication information; And adjusting the personalized medication scheme based on the medication risk result, and dynamically generating and outputting target medication guidance information. The second aspect provides an autonomous drug delivery and safety monitoring robot, which comprises a mobile chassis module, a drug storage and configuration module, a face recognition module with identity authentication and face state feature extraction functions, a voice interaction module, a water taking module, a health monitoring module, a drug lifting platform and a bin gate which are respectively and electrically connected with a central control module through corresponding interfaces to form a data interaction and co