Home-based old-age care smart cloud system based on Internet of Things
By designing a smart cloud system for home care based on the Internet of Things, including shopping assistance, health management and service evaluation modules, the problems of shopping difficulties, excessive activity volume, difficult to judge the quality of items and store service evaluation during the home care process are solved. , achieving a safer and more convenient shopping experience.
Patent Information
- Application Number
- CN202411605851.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-12
- Publication Date
- 2025-02-07
AI Technical Summary
During the elderly’s home care process, shopping difficulties and health risks are caused by their age, inconvenience in travel, memory loss, inability to accurately estimate the amount of activities, inability to judge the quality of items, and difficulty in assessing store services.
Design a smart cloud system for home care based on the Internet of Things, including shopping assistance module, health management module and service evaluation module. The shopping auxiliary module enters the information of items to be purchased through the bracelet and recommends suitable stores; the health management module records the physical data of the elderly through the bracelet to determine whether the activity volume is suitable for shopping on its own; the service evaluation module scans the barcode of the packaged items and detects the color difference of unpacked items. , judge the quality of items and evaluate the store service through the store’s pre-stocking and spending amount.
It effectively solves the problems of shopping difficulties for the elderly, the damage to health of excessive activity, the difficulty in determining the quality of items, and the difficulty in assessing store services, and improves the shopping experience and health management level of the elderly at home care.
Smart Images

Figure CN119399001A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of home-based elderly care, and in particular to a home-based elderly care smart cloud system based on the Internet of Things. Background Art
[0002] In the prior art, when elderly people are living at home, they have difficulty shopping for daily necessities due to their old age and inconvenience in traveling. Due to memory loss, shopping information is easily forgotten, resulting in incomplete shopping; Unable to accurately estimate the amount of daily activity, the additional amount of activity caused by going out to buy things will cause the daily activity to exceed the daily set amount of activity, causing damage to physical health; Lack of accurate quality judgment of purchased items leads to the elderly eating spoiled food, which affects their health; and it is difficult to accurately evaluate the store's services, resulting in long waiting times and unreasonable expenditures; In view of the above technical problems, this application proposes a solution. Summary of the invention
[0003] The purpose of the present invention is to judge the activity level of the elderly through the combination of the shopping assistance module and the health management module, so as to avoid the situation that the elderly have difficulty in shopping due to insufficient activity level; to judge whether the elderly are suitable for shopping by themselves by comparing the activity level data of the elderly with the optimal activity level through the health management module, so as to prevent the elderly from being damaged by excessive activity level; to judge whether the items are fresh based on the quality assurance information and color difference comparison of the item packaging through the service evaluation module, so as to avoid the elderly from eating spoiled food and affecting their health; and to conduct service scoring and evaluation on the stores within the set range in terms of pre-stocking and expenditure amount through the service evaluation module, so as to solve the problems of shopping difficulties for the elderly in home-based care, easy forgetting of shopping information, damage to the body caused by large activity level, and difficulty in distinguishing food quality, and propose a home-based care smart cloud system based on the Internet of Things.
[0004] The purpose of the present invention can be achieved through the following technical solutions: The smart cloud system for home-based elderly care based on the Internet of Things includes shopping assistance module, health management module and service evaluation module; The shopping assistance module uses the wristband to input the information of the items to be purchased, and establishes connections with stores within the set range. The stores are classified according to whether they deliver or not, and the classified stores are ranked by scores according to the price of the items and the distance. The store with the highest score is recommended to the elderly for store selection; The health management module uses the wristband to record various data of the elderly's body to judge the comprehensive health index, and judge the daily activity of the elderly of the corresponding age based on the comprehensive health index, and judge whether the elderly can go to the store to shop on their own based on the activity; The service evaluation module determines the service score of the store by checking whether the store has pre-stocked goods when the elderly go shopping. The scanner on the bracelet is used to scan the barcodes of the purchased packaged items to obtain the shelf life information of the packaged items, and the quality of the items is judged based on whether they can be used up within the warranty period. The color difference detection software on the bracelet is used to detect the color difference of the purchased unpackaged items to determine the quality of the items.
[0005] As a preferred embodiment of the present invention, the steps of establishing contact between the shopping assistance module and the stores within the set range are as follows: Step 1: Retrieve the historical activity trajectory data of the elderly at home, mark the stores within the set range that the elderly have visited or shopped, and divide the stores within the set range into two parts: those that support delivery and those that do not support delivery according to whether they support order delivery; Step 2: Stores that support delivery and those that do not support delivery are sorted by distance from the elderly’s residence. Stores that support delivery are sorted by item price. and distance Shopping scoring, shopping scoring , and is the weight coefficient, , The order of the delivery providers is based on the order of distance. and item prices Shopping scoring, shopping scoring , and is the weight coefficient, , To support the sorting sequence number of the delivery store; Step 3: Compare the shopping scores of the two methods. , then the method that supports delivery stores is determined to be better; otherwise, the method that does not support delivery stores is determined to be better.
[0006] As a preferred embodiment of the present invention, the steps of judging the comprehensive health index by the health management module are as follows: Step 1: Preset comprehensive health index Heart rate variation index , blood pressure change indicators , blood sugar change index , Fatigue level index and sleep quality indicators The weights assigned are , , , , ,get ; Step 2: For the elderly of different age groups, record the comprehensive health index caused by their daily activities Changes in daily comprehensive health index , Indicates the number of days recorded; and the maximum value of the comprehensive health index recorded daily The maximum value of the comprehensive health index of the previous day For comparison, if , then the technology for the maximum value of the comprehensive health index is refreshed and updated to , and record The activity data corresponding to the numerical value; Step 3: After comparing the data for a set period of time, the maximum value of the comprehensive health index and the corresponding activity data are obtained, which are recorded as and .
[0007] As a preferred embodiment of the present invention, the steps of the health management module determining whether to go out according to the daily activity of the elderly are as follows: Step 1: If the method of not supporting delivery stores is better, retrieve the historical activity data of the elderly corresponding to the stores that do not support delivery , To support the sorting sequence number of the delivery store; Step 2: If , it is recommended that the elderly purchase items on their own. The data is the amount of activity the elderly have experienced before the present time, recorded by the bracelet; otherwise, it is determined that it is not recommended for the elderly to purchase items on their own.
[0008] As a preferred embodiment of the present invention, the steps for the shopping assistant module to process the health management module's outing judgment are as follows: Step 1: It is not recommended that the elderly purchase items on their own. Stores that support delivery and those that do not support delivery are sorted according to the shopping score values. If the store ranked first supports delivery, the elderly can shop from the store ranked first. If the store ranked first does not support delivery, the elderly's activity level today is judged again. If it is recommended that the elderly purchase items on their own, the elderly can purchase items on their own. Step 2: Otherwise, the second-ranked store is judged again in step 1; Step 3: Recommend the elderly to purchase items on their own and calculate the time it takes for them to leave home and arrive at the corresponding store that does not support delivery , and the number of times you have been there and number of purchases ,like , then it is determined that the goods of the store fail to meet the needs of the elderly at home, and the goods score count is reduced by one; otherwise, the goods score count is increased by one.
[0009] As a preferred embodiment of the present invention, the steps of determining the store service score according to whether the store has pre-stocked goods by the service evaluation module are as follows: Step 1: Set the location of the elderly at home With nearby store locations Compare and determine the service scores of stores within the set range; Detect the distance from the walking road boundary and the location of the elderly at home With store locations within the set range The distance data between , count the number of orders that the elderly at home will place at the store, recorded as ; Service scoring , The length of time the elderly stay at the stop location. The number of items that need to be purchased for the elderly, To set the constant, , , , and is the weight coefficient; Step 2: Preparation time due to the increase in the number of orders and items purchased Extended waiting time , is a function related to the order quantity and the number of items purchased; , and is the weight coefficient; if the service scoring threshold , then the service of the corresponding store that does not support delivery is judged to be good, and the service score count is increased by one; otherwise, the service score count is judged to be reduced by one.
[0010] As a preferred embodiment of the present invention, the service evaluation module evaluates the purchased items in the following steps: Step 1: For packaged items, scan the barcode on the item purchased by the elderly through the barcode scanning software in the bracelet to obtain the production date, shelf life and content of the item, and calculate the number of days to the shelf life according to the preset 30 days per month. Calculate the number of days the purchased packaged items are sufficient for use based on the amount of the corresponding items used by the elderly every day. ,like , then the service of the corresponding store is judged to be good, and the service score count is increased by one; otherwise, the service score count is judged to be reduced by one; Step 2: For unpackaged items, the weight data of the items is judged, and the product of the item price and the item weight is compared with the amount spent. If the amount spent is greater than the product of the item price and the item weight, it is determined that there is an error in the weight of the purchased item, and the service score count is reduced by one; otherwise, the service score count is increased by one.
[0011] As a preferred embodiment of the present invention, the service evaluation module evaluates the store by the expenditure amount as follows: Step 1: Record the time that the elderly at home stay at the location where they stay, and the starting point of the stay time is recorded as , the end point of the stay time is recorded as ,right to The changes in the account balance during this period are detected. If there is a small change in the account balance, it is determined that the elderly person at home did not enter the store and made purchases from the store; if there is a large change in the account balance, a signal is sent to the home camera, and the camera detects the shopping situation of the elderly person at home who has returned to the activity, including the number and type of purchases. The video data collected by the camera is then uploaded to the cloud storage, and the price range of the corresponding shopping type is retrieved through the cloud, and the expenditure amount is calculated based on the number of purchases; Step 2: If the difference between the calculated amount and the actual expenditure amount is within the set price difference range, the store is marked and the amount score is counted plus one; otherwise, the store is marked and the amount score is counted minus one; Step 3: Record each purchase of the elderly at home, retrieve the historical purchase amount data of the elderly at home from the cloud, and calculate the average of the historical purchase amount data. and standard deviation data Calculate according to As the boundary, the amount data is greater than the value The account balance change is marked as a large change, and the amount data is less than or equal to the value Changes in account balances are marked as small changes.
[0012] As a preferred implementation of the present invention, the service evaluation module processes the scores as follows: Step 1: Count the goods score, service score and amount score of the corresponding store, recorded as , and , and compare the corresponding statistical value with the corresponding preset threshold , and Compare, if the preset cargo scoring threshold , then the corresponding store's goods quality is judged to be poor, and the elderly who pay attention to the quality of goods will no longer be recommended to buy goods in this store; if the preset goods scoring threshold , then the service of the corresponding store is judged to be poor, and the elderly who care about service quality will no longer be recommended to buy items in this store; if the preset goods scoring threshold , then the corresponding store is judged to have a high price, and the price-sensitive elderly will no longer be recommended to purchase items at this store; Step 2: The judgment results of the goods score, service score and amount score are counted. When the score value of each score item is less than the pre-designed score threshold, the count value is increased by one. If the count value is greater than two after the statistics are completed, the elderly person will no longer be recommended to purchase items at the store, and the message will be forwarded to the store for rectification.
[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The shopping assistance module of the system inputs the information of the items to be purchased through the wristband, and classifies and scores the stores within the set range according to whether they deliver or not, and recommends suitable stores for the elderly; if delivery is not supported, the health management module is further combined to determine whether the elderly's activity level is suitable for going there by themselves, and only after it is determined that the daily activity level is met, the elderly are recommended to go shopping by themselves, otherwise the delivery shopping method is selected to avoid the situation where the elderly have difficulty shopping due to travel inconvenience or insufficient activity; 2. After the shopping assistant module of the system inputs the name of the item through the voice input of the bracelet, the bracelet will read and play the voice to confirm, and provide "Confirm", "Change" and "Re-record" options to ensure the accuracy of the record; and the record will be stored in the memo for the convenience of the elderly to view, reducing the situation where shopping information is forgotten or incomplete due to memory loss; 3. The health management module uses the wristband to record various data of the elderly's body to judge the comprehensive health index, determine the appropriate daily activity volume of the elderly of the corresponding age, and when making shopping decisions, judge whether the elderly are suitable for shopping by themselves based on the comparison of the elderly's activity volume data with the optimal activity volume, so as to prevent damage to the elderly's health due to excessive shopping activities; 4. The service evaluation module obtains warranty information by scanning the barcode of the packaged items through the wristband, calculates the number of days to the expiration date and the sufficient days for use, and compares the sufficient days for use with the expiration date to determine the quality of the packaged items; for unpackaged items, the wristband camera scans to obtain image data to calculate the color difference, and compares the color difference with the preset threshold to determine whether the item is fresh; it also compares the product of the item price and weight with the amount spent to determine whether the weight is wrong, and further accurately evaluates the quality of unpackaged items to prevent the elderly from eating spoiled food; 5. The service evaluation module determines the service score based on whether the store has pre-stocked goods. It also considers four factors: length of stay, distance from the store, number of orders, and number of items purchased. It also evaluates the store service based on the amount of expenditure and determines the service score. It uses the above scoring data to determine whether the store’s service is good, and blacklists stores with poor service. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.
[0015] Figure 1 It is a system diagram of the present invention. DETAILED DESCRIPTION
[0016] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0017] Example: See also Figure 1 As shown, the smart cloud system for home-based elderly care based on the Internet of Things includes a shopping assistance module, a health management module, and a service evaluation module; Shopping assistance module: when an elderly person living at home finds that there are missing items at home and needs to be replenished, he / she presses the record button on the bracelet to start the record function, and then records the names of the items to be purchased in the memo through voice recording. After the recording is completed, the bracelet reads the names of the items in the memo and reads them out by voice playback, and then three click blocks of "OK", "Change" and "Re-record" pop up on the bracelet for the elderly to choose; after the elderly clicks the "OK" block, the record in the memo with the shortest time distance from the current time point is sent to the owner of a nearby store for stocking; after the elderly clicks the "Change" block, after the elderly clicks the position to be changed on the bracelet, the content to be changed is deleted through the delete button on the bracelet, and then the text is recorded again by voice recording; after the elderly clicks the "Re-record" block, all the recorded content is automatically deleted, and then the text is recorded again by voice recording.
[0018] For the selection of stores within the set range, the historical activity trajectory data of the elderly at home is retrieved, and the stores within the set range that the elderly have visited or shopped are marked. According to whether they support order delivery, the stores within the set range are divided into two parts: those that support delivery and those that do not support delivery. The stores that support delivery and those that do not support delivery are sorted according to the distance from the elderly’s residence. Stores that support delivery are sorted according to the price of the items. and distance Shopping scoring, shopping scoring , and is the weight coefficient, , The order of the delivery providers is based on the order of distance. and item prices Shopping scoring, shopping scoring , and is the weight coefficient, , To support the sorting sequence number of the delivery store; then compare the shopping scores of the two methods. , then the method that supports delivery stores is determined to be better; otherwise, the method that does not support delivery stores is determined to be better.
[0019] The health management module records the daily activity data of the elderly and the effect data of the corresponding activity on the body of the elderly at home, and uploads the detected daily activity data and the corresponding effect data of the activity to the cloud for storage. The cloud processes the daily activity data of the elderly at home of different age groups and the corresponding effect data of the activity; preset comprehensive health index Heart rate variation index , blood pressure change indicators , blood sugar change index , Fatigue level index and sleep quality indicators The weights assigned are , , , , ,get The bracelet can obtain the heart rate, blood pressure and blood sugar change data of the elderly at home, and preset the maximum heart rate value Equal to the difference between 220 and the age of the elderly at home, then the heart rate change index , To monitor heart rate and blood pressure change indicators , and They are respectively used to monitor blood pressure values and preset maximum blood pressure values; blood pressure change indicators , and Monitor blood pressure and preset maximum blood pressure; Fatigue index 00, and The heart rate data of the elderly at home during activities and rest respectively; the preset sleep time of the elderly at home is , sleep quality index , To monitor sleep time; For the elderly of different age groups, record the comprehensive health index caused by the daily activity of the elderly Changes in daily comprehensive health index , Indicates the number of days recorded; and the maximum value of the comprehensive health index recorded daily The maximum value of the comprehensive health index of the previous day For comparison, if , then the technology for the maximum value of the comprehensive health index is refreshed and updated to , and record The activity data corresponding to the value; after the data comparison for the set time, the maximum value of the comprehensive health index and the corresponding activity data are obtained, which are recorded as and ; If the method of the store that does not support delivery is better, retrieve the activity data of the elderly to the corresponding store that does not support delivery , To support the sorting sequence number of the delivery store, if , it is recommended that the elderly purchase items on their own. The data of the amount of activity experienced by the elderly before the current time point is recorded by the wristband; otherwise, it is determined that it is not recommended for the elderly to purchase items on their own; It is not recommended that the elderly purchase items by themselves. Stores that support delivery and those that do not support delivery are sorted according to the shopping score values. If the first-ranked store supports delivery, shopping is done at the first-ranked store; if the first-ranked store does not support delivery, the elderly's activity level today is judged again. If it is recommended that the elderly purchase items by themselves, they purchase items by themselves; otherwise, the second-ranked store is judged; Recommend the elderly to purchase items on their own and calculate the time it takes for them to leave home and arrive at the corresponding store that does not support delivery , and the number of times you have been there and number of purchases ;like , then it is determined that the goods of the store fail to meet the needs of the elderly at home, and the goods score count is reduced by one; otherwise, the goods score count is increased by one.
[0020] The location of the elderly at home With nearby store locations Compare and determine the service scores of stores within the set range; Detect the distance from the walking road boundary and the location of the elderly at home With store locations within the set range The distance data between , count the number of orders that the elderly at home will place at the store, recorded as ; Service scoring , The length of time the elderly stay at the stop location. The number of items that need to be purchased for the elderly, To set the constant, , , , and is the weight coefficient; due to the increase in the number of orders and the number of items purchased, the preparation time Extended waiting time , is a function related to the order quantity and the number of items purchased, preparation time It increases with the number of orders and items purchased; , and is the weight coefficient; if the service scoring threshold , then the service of the corresponding store that does not support delivery is judged to be good, and the service score count is increased by one; otherwise, the service score count is judged to be reduced by one; For packaged items, the barcode on the item purchased by the elderly is scanned through the barcode scanning software in the bracelet to obtain the production date, shelf life and content of the item, and the number of days to the shelf life is calculated according to the preset 30 days per month. Calculate the number of days the purchased packaged items are sufficient for use based on the amount of the corresponding items used by the elderly every day. ,like , then the service of the corresponding store is judged to be good, and the service score count is increased by one; otherwise, the service score count is reduced by one; for unpackaged items, the weight data of the items is judged, and the product of the item price and the item weight is compared with the amount spent. If the amount spent is greater than the product of the item price and the item weight, it is judged that there is an error in the weight of the purchased item, and the service score count is reduced by one; otherwise, the service score count is increased by one.
[0021] The residence time of the elderly at home is recorded at the residence location, and the starting point of the residence time is recorded as , the end point of the stay time is recorded as ,right to The changes in the account balance during this period are detected. If there is a small change in the account balance, it is determined that the elderly person at home did not enter the store and made a purchase in the store; if there is a large change in the account balance, a signal is sent to the home camera, and the camera detects the shopping situation of the elderly person at home who has returned to the activity, including the purchase quantity and purchase type. The video data collected by the camera is then uploaded to the cloud storage, and the price range of the corresponding shopping type is retrieved through the cloud, and the expenditure amount is calculated based on the purchase quantity; if the difference between the calculated amount and the actual expenditure amount is within the set price difference range, the store is marked and the amount score is counted plus one; otherwise, the store is marked and the amount score is counted minus one.
[0022] Every purchase of the elderly at home is recorded, and the historical shopping amount data of the elderly at home is retrieved from the cloud. The average of the historical shopping amount data is calculated. and standard deviation data Calculate according to As the boundary, the amount data is greater than the value The account balance change is marked as a large change, and the amount data is less than or equal to the value Changes in account balances are marked as small changes.
[0023] The goods score, service score and amount score of the corresponding store are counted and recorded as , and , and compare the corresponding statistical value with the corresponding preset threshold , and Compare, if the preset cargo scoring threshold , then the corresponding store's goods quality is judged to be poor, and the elderly who pay attention to the quality of goods will no longer be recommended to buy goods in this store; if the preset goods scoring threshold , then the service of the corresponding store is judged to be poor, and the elderly who care about service quality will no longer be recommended to buy items in this store; if the preset goods scoring threshold , then the corresponding store is judged to have a high amount of goods, and the elderly who are sensitive to prices will no longer be recommended to buy goods in this store; for the elderly who pay attention to the quality of goods, stores with high goods scores are recommended first; for the elderly who pay attention to the quality of service, stores with high service scores are recommended; and for the elderly who are sensitive to prices, stores with high amount scores are recommended; The judgment results of goods scoring, service scoring and amount scoring are statistically analyzed. When the score of each scoring item is less than the pre-designed score threshold, the count value is increased by one. If the count value is greater than two after the statistics are completed, the elderly will no longer be recommended to purchase items at the store, and the message will be forwarded to the store for rectification.
[0024] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.
Claims
1. The smart cloud system for home-based elderly care based on the Internet of Things is characterized by: Including shopping assistance module, health management module and service evaluation module; The shopping assistance module allows users to input information about items to be purchased through the wristband, filter out stores within the set range, classify them by whether they deliver or not, and make a comprehensive evaluation of the classified stores, recommending the stores with the highest scores to the elderly for their store selection; The health management module uses the wristband to record various data of the elderly's body to judge the comprehensive health index, and judge the daily activity of the elderly of the corresponding age based on the comprehensive health index, and judge whether the elderly can go to the store to shop by themselves based on the activity; various data include heart rate change indicators , blood pressure change indicators , blood sugar change index , Fatigue level index and sleep quality indicators ; The service evaluation module determines the service score of the store by checking whether the store has pre-stocked goods when the elderly go shopping. The scanner on the bracelet is used to scan the barcodes of the purchased packaged items to obtain the shelf life information of the packaged items, and the quality of the items is judged based on whether they can be used up within the warranty period. The color difference detection software on the bracelet is used to detect the color difference of the purchased unpackaged items to determine the quality of the items.
2. The smart cloud system for home-based elderly care based on the Internet of Things according to claim 1 is characterized in that: The shopping assistance module filters stores within the set range. The specific steps are as follows: Step 1: Retrieve the historical activity trajectory data of the elderly at home, mark the stores that the elderly have visited or shopped in the set range, and divide the stores in the set range into two parts: those that support delivery and those that do not support delivery according to whether they support order delivery; Step 2: Stores that support delivery and those that do not support delivery are sorted by distance from the elderly’s residence. Stores that support delivery are sorted by item price. and distance Shopping scoring, shopping scoring , and is the weight coefficient, , The order of the delivery providers is based on the order of distance. and item prices Shopping scoring, shopping scoring , and is the weight coefficient, , To support the sorting sequence number of the delivery store; Step 3: Compare the shopping scores of the two methods. , then the method that supports delivery stores is determined to be better; Otherwise, it is determined that the method of not supporting delivery stores is better.
3. The smart cloud system for home-based elderly care based on the Internet of Things according to claim 2 is characterized in that: The steps for judging the comprehensive health index of the health management module are as follows: Step 1: Preset comprehensive health index Heart rate variation index , blood pressure change indicators , blood sugar change index , Fatigue level index and sleep quality indicators The weights assigned are , , , , ,get ; Step 2: For the elderly of different age groups, record the comprehensive health index caused by their daily activities Changes in daily comprehensive health index , Indicates the number of days recorded; and the maximum value of the comprehensive health index recorded daily The maximum value of the comprehensive health index of the previous day For comparison, if , then the technology for the maximum value of the comprehensive health index is refreshed and updated to , and record The activity data corresponding to the numerical value; Step 3: After comparing the data for a set period of time, the maximum value of the comprehensive health index and the corresponding activity data are obtained, which are recorded as and .
4. The IoT-based home-based elderly care smart cloud system according to claim 3 is characterized in that: The quantification process of each indicator of the comprehensive health index is as follows: Step 1: The bracelet can obtain the heart rate, blood pressure and blood sugar change data of the elderly at home, and preset the maximum heart rate value =Equal to the difference between 220 and the age of the elderly at home, then the heart rate change index , To monitor heart rate and blood pressure change indicators , and They are respectively used to monitor blood pressure value and preset maximum blood pressure value; Step 2: Blood pressure change indicators , and Monitor blood pressure and preset maximum blood pressure; Fatigue index , and They are the heart rate data of elderly people at home when they are active and resting; The default sleeping time for elderly people at home is , sleep quality index , To monitor sleep time.
5. The home-based elderly care smart cloud system based on the Internet of Things according to claim 3 is characterized in that: The steps for the health management module to determine whether to go out based on the elderly's daily activity are as follows: Step 1: If the method of not supporting delivery stores is better, retrieve the historical activity data of the elderly corresponding to the stores that do not support delivery , To support the sorting sequence number of the delivery store; Step 2: If , it is recommended that the elderly purchase items on their own. The data is the amount of activity the elderly have experienced before the present time, recorded by the bracelet; otherwise, it is determined that it is not recommended for the elderly to purchase items on their own.
6. The home-based elderly care smart cloud system based on the Internet of Things according to claim 1 is characterized in that: The steps for the shopping assistance module to process the health management module's out-of-office judgment are as follows: Step 1: It is not recommended that the elderly purchase items on their own. Stores that support delivery and those that do not support delivery are sorted according to the shopping score values. If the store ranked first supports delivery, the elderly can shop from the store ranked first. If the store ranked first does not support delivery, the elderly's activity level today is judged again. If it is recommended that the elderly purchase items on their own, the elderly can purchase items on their own. Step 2: Otherwise, the second-ranked store is judged again in step 1; Step 3: Recommend the elderly to purchase items on their own and calculate the time it takes for them to leave home and arrive at the corresponding store that does not support delivery , and the number of times you have been there and number of purchases ,like , then it is determined that the goods of the store fail to meet the needs of the elderly at home, and the goods score count is reduced by one; Otherwise, the goods score count is increased by one.
7. The IoT-based home-based elderly care smart cloud system according to claim 6 is characterized in that: The steps for the service evaluation module to determine the store service score based on whether the store has pre-stocked goods are as follows: Step 1: Set the location of the elderly at home With nearby store locations Compare and determine the service scores of stores within the set range; Detect the distance from the walking road boundary and the location of the elderly at home With store locations within the set range The distance data between , count the number of orders that the elderly at home will place at the store, recorded as ; Service scoring , The length of time the elderly stay at the stop location. The number of items that need to be purchased for the elderly, To set the constant, , , , and is the weight coefficient; Step 2: Preparation time due to the increase in the number of orders and items purchased Extended waiting time , is a function related to the order quantity and the number of items purchased; , and is the weight coefficient; if the service scoring threshold , then the service score count of the corresponding store that does not support delivery is increased by one; Otherwise, the service score count is reduced by one.
8. The smart cloud system for home-based elderly care based on the Internet of Things according to claim 1 is characterized in that: The service evaluation module evaluates the purchased items in the following steps: Step 1: For packaged items, scan the barcode on the item purchased by the elderly through the barcode scanning software in the bracelet to obtain the production date, shelf life and content of the item, and calculate the number of days to the shelf life according to the preset 30 days per month. Calculate the number of days the purchased packaged items are sufficient for use based on the amount of the items used by the elderly every day. ,like , then the service score count of the corresponding store is increased by one; Otherwise, the service score count is reduced by one; Step 2: For unpackaged items, the weight data of the items is judged, and the product of the item price and the item weight is compared with the amount spent. If the amount spent is greater than the product of the item price and the item weight, it is determined that there is an error in the weight of the purchased item, and the service score count is reduced by one; Otherwise, the service score count is incremented by one.
9. The IoT-based home-based elderly care smart cloud system according to claim 8 is characterized in that: The service evaluation module evaluates the store by spending amount in the following steps: Step 1: Record the time that the elderly at home stay at the location where they stay, and the starting point of the stay time is recorded as , the end point of the stay time is recorded as ,right to The changes in the account balance during this period are detected. If there is a small change in the account balance, it is determined that the elderly person at home did not enter the store and made purchases from the store; if there is a large change in the account balance, a signal is sent to the home camera, and the camera detects the shopping situation of the elderly person at home who has returned to the activity, including the number and type of purchases. The video data collected by the camera is then uploaded to the cloud storage, and the price range of the corresponding shopping type is retrieved through the cloud, and the expenditure amount is calculated based on the number of purchases; Step 2: If the difference between the calculated amount and the actual expenditure amount is within the set price difference range, the store is marked and the amount score is counted plus one; Otherwise, the store is marked and the amount score is counted down by one; Step 3: Record each purchase of the elderly at home, retrieve the historical shopping amount data of the elderly at home from the cloud, and calculate the average of the historical shopping amount data. and standard deviation data Calculate according to As the boundary, the amount data is greater than the value The account balance change is marked as a large change, and the amount data is less than or equal to the value Changes in account balances are marked as small changes.
10. The home-based elderly care smart cloud system based on the Internet of Things according to claim 9 is characterized in that: The service evaluation module processes each score as follows: Step 1: Count the goods score, service score and amount score of the corresponding store, recorded as , and , and compare the corresponding statistical value with the corresponding preset threshold , and Compare, if the preset cargo scoring threshold , then the corresponding store's goods quality is judged to be poor, and the elderly who pay attention to the quality of goods will no longer be recommended to buy goods in this store; if the preset goods scoring threshold , the service of the corresponding store is judged to be poor, and the elderly who care about service quality will no longer be recommended to buy items in this store; If you preset the cargo scoring threshold , then the corresponding store is judged to have a high price, and the price-sensitive elderly will no longer be recommended to purchase items at this store; Step 2: The judgment results of the goods score, service score and amount score are counted. When the score value of each score item is less than the pre-designed score threshold, the count value is increased by one. If the count value is greater than two after the statistics are completed, the elderly person will no longer be recommended to purchase items at the store, and the message will be forwarded to the store for rectification.
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Big data artificial smart old-age care method and system
CN120147957A
