Internet of Things Intelligent Home Elderly Care Service Management System, Method, Device and Medium

Abstract

The present invention discloses an Internet of Things intelligent home elderly care service management system, method, device and medium. According to the technical solution provided by the present invention, the system includes: a project monitoring module, a demand judgment module and a service management platform; wherein, the project monitoring module monitors the houses of target users to obtain corresponding key information; the demand judgment module judges whether there is a service demand for a service project according to the project monitoring situation of each project, and generates service demand information when there is a demand; the service management platform selects corresponding personnel based on the projects in the service demand information, generates a service execution command and sends it to the corresponding personnel. By using the Internet of Things technology to monitor specific information in the houses of target users, the present invention can intelligently determine whether there is a service demand for users, and through the service management platform, manage the allocation of service personnel according to user needs, so that users can accurately and automatically obtain the required services, greatly improving the user experience.

Description

Technical Field

[0001] The present invention relates to the field of smart home services, and in particular to an Internet of Things smart home elderly care service management system, method, equipment and medium. Background Art

[0002] With the continuous development of my country's economy and society, the whole society is paying more and more attention to the living conditions of the elderly. The silver economy for the elderly has gradually shown its vitality and become a new growth point for economic development. Among them, services for the daily lives of the elderly have developed rapidly, thereby improving the quality of life of the elderly.

[0003] Currently, whether in nursing homes or senior communities, life services for the elderly are usually provided in two ways: one is that the user notifies the service staff to come to the user's home for door-to-door service; the other is that the nursing home or senior community arranges the service staff to come to the user's home for door-to-door service at a fixed time.

[0004] However, the first method requires the elderly to make appointments or notifications themselves, which not only increases the user's own duty of care, but also sets an operational threshold for the elderly to make appointments, reducing the possibility of the elderly making appointments by themselves. The second method is that the nursing home or elderly community arranges service personnel to provide services to the user at a fixed time, eliminating the complicated operation of users making appointments by themselves, but can only provide corresponding services at fixed times, and cannot intelligently arrange service personnel according to actual needs. It may cause the service personnel to find that there is no service demand after arriving at the designated location, resulting in invalid work trips and low service accuracy; and in a fixed time period, the service personnel's pending work may be backlogged, which increases their instantaneous workload, but reduces the efficiency of service work, delays the time for users to obtain services, and reduces user experience. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides an Internet of Things smart home elderly care service management method and a corresponding Internet of Things smart home elderly care service management system method computing device and computer storage medium.

[0006] According to one aspect of the present invention, an Internet of Things smart home elderly care service management system is provided, comprising: a project monitoring module, a demand judgment module and a service management platform; wherein:

[0007] The project monitoring module is used to monitor the target user's house based on each service project and obtain key information corresponding to each service project;

[0008] The requirement judgment module is used to judge whether there is a service requirement for the corresponding service item according to the project monitoring situation of each project, and generate corresponding service requirement information when there is a service requirement;

[0009] The service management platform is used to select corresponding service personnel based on the service items in the service requirement information, generate a service execution command and send it to the corresponding service personnel.

[0010] In the above solution, the project monitoring module is further used for:

[0011] Pre-determine the key information corresponding to each service item according to the service content of each service item;

[0012] Collect the key information corresponding to each service item by setting a variety of monitoring units in the house of the target user;

[0013] Send the key information corresponding to each service item to the requirement judgment module;

[0014] Among them, the service items at least include cleaning service, food delivery service and medical care service.

[0015] In the above solution, the variety of monitoring units at least include: a dust cleaning unit, a food service unit and a medical assistance unit; among them,

[0016] The dust cleaning unit is used to obtain the house dust data of the target user by using a dust thickness sensor and / or a dust concentration sensor;

[0017] The food service unit is used to collect image information at a preset shooting position by using a camera to obtain the food situation data of the target user;

[0018] The medical assistance unit is used to determine the medical operation data of the target user according to the preset medical operation process for the target user;

[0019] Among them, the dust cleaning unit, the food service unit and the medical assistance unit respectively correspond to the cleaning service, the food delivery service and the medical care service; the key information corresponding to each service item at least includes: house dust data, food situation data and medical operation data.

[0020] In the above solution, the requirement judgment module is further used for:

[0021] Based on the key information of each service item, judge whether it meets the service provision conditions to obtain a judgment result;

[0022] If the judgment result shows that the key information of the current service item meets the service provision conditions, generate initial requirement information;

[0023] If the judgment result shows that the key information of the current service item does not meet the service provision conditions, then it is judged whether the current service item meets the corresponding execution time conditions;

[0024] If the current service item meets the corresponding execution time conditions, initial requirement information is generated;

[0025] If the current service item does not meet the corresponding execution time conditions, this demand judgment is ended;

[0026] Combined with the existing initial requirement information, corresponding service demand information is generated and sent to the service management platform.

[0027] In the above solution, the service management platform is further used for:

[0028] Based on the service items with service demands, the corresponding service personnel library is determined;

[0029] Determine the current to-do items of each service personnel in the service personnel library, and calculate the estimated duration for each service personnel to complete the current to-do items based on the preset operation duration of various to-do items;

[0030] Sort the service personnel in the service personnel library according to the estimated duration;

[0031] Select the service personnel with the shortest estimated market, and complete the corresponding service items for the target user according to the service demand information.

[0032] In the above solution, in the dust cleaning unit, the dust thickness sensor is set at the first preset position; wherein, the first preset position is the corner of the target user's house; the dust concentration sensor is set at the second preset position; wherein, the second preset position is the inlet / outlet of the ventilation equipment in the target user's house;

[0033] When setting the dust concentration sensor, the dust cleaning unit is further used for,

[0034] Judge whether the ventilation equipment in the target user's house is turned on according to the preset time interval;

[0035] If so, use the dust collection device in the dust concentration sensor to collect the dust at the second preset position and measure it to obtain the house dust data;

[0036] If not, control the ventilation equipment in the target user's house to be turned on through the Internet of Things control terminal to measure the dust concentration and obtain the house dust data.

[0037] In the above solution, the system further includes: a demand submission module;

[0038] The requirement submission module is configured to generate service requirement information in response to the input or click of a target user, and immediately send it to the service management platform.

[0039] According to another aspect of the present invention, there is provided an Internet of Things intelligent home elderly care service management method, including:

[0040] Monitoring the house of the target user based on each service item, and obtaining the key information corresponding to each service item;

[0041] According to the project monitoring situation of each item, determine whether there is a service requirement for the corresponding service item, and generate corresponding service requirement information when there is a service requirement;

[0042] Select corresponding service personnel based on the service items in the service requirement information, generate a service execution command and send it to the corresponding service personnel.

[0043] According to yet another aspect of the present invention, there is provided a computing device, including: a processor, a memory, a communication interface, and a communication bus, and the processor, the memory, and the communication interface complete communication with each other through the communication bus;

[0044] The memory is used to store at least one executable instruction, and the executable instruction causes the processor to execute the operations implemented by the above-mentioned Internet of Things intelligent home elderly care service management system.

[0045] According to still another aspect of the present invention, there is provided a computer storage medium, and at least one executable instruction is stored in the storage medium, and the executable instruction causes the processor to execute the operations implemented by the above-mentioned Internet of Things intelligent home elderly care service management system.

[0046] According to the technical solution provided by the present invention, an Internet of Things intelligent home elderly care service management system includes: a project monitoring module, a demand judgment module, and a service management platform; wherein, the project monitoring module is used to monitor the houses of target users based on various service projects and obtain key information corresponding to each service project; the demand judgment module is used to judge whether there is a service demand for the corresponding service project according to the project monitoring situation of each project, and generate corresponding service demand information when there is a service demand; the service management platform is used to select corresponding service personnel based on the service project in the service demand information, generate a service execution command and send it to the corresponding service personnel. By monitoring the specific information corresponding to different service projects in the house of the target user and transmitting the corresponding monitoring information back based on the Internet of Things technology, and then making a judgment through these information to determine whether there is a service demand for the target user. Through automatic real-time monitoring, the living status information of the target user, especially the relevant information of the elderly, can be obtained at any time. For example, the cleaning situation in the house can be known through dust data, and the diet situation of the user can be understood through diet situation data, etc.; after obtaining the relevant information, further through preset judgment conditions and time conditions, the service demand of the user is scientifically and accurately judged intelligently. Accordingly, the service demand of the user can be processed in time, avoiding the work backlog caused by scheduling personnel regularly, improving the work efficiency, and enhancing the user experience; based on the service demand, the system automatically screens out service personnel to complete the user demand as soon as possible, avoiding the user, especially the elderly user, being forced to complete the complex service reservation process by themselves, greatly reducing the operation difficulty of the user, improving the pertinence and timeliness of service provision, and effectively improving the user experience. By obtaining the current to-do items of each service personnel in the service personnel library corresponding to the service project, calculating their respective estimated durations, and scientifically screening out the service personnel who are free first, arranging this person to handle the service demand of the target user, so that the service project of the target user can be completed in the shortest time, greatly improving the service efficiency. At the same time, by setting dust concentration sensors at the inlet / outlet of the ventilation equipment, the dust concentration information in the user's house is accurately obtained to understand the sanitation situation in the house, so that the service management platform can accurately process the cleaning demand of the user. In addition, through the demand submission module, the user is allowed to submit the demand by himself, so as to more flexibly meet the temporary or special service demands of the user, make the service more targeted, and effectively improve the user experience.

[0047] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained by the structures specifically pointed out in the written specification, claims, and drawings.

[0048] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Description of the Drawings

[0049] The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention, but do not constitute a limitation to the present invention. In the accompanying drawings:

[0050] Figure 1 The structural block diagram of an Internet of Things intelligent home elderly care service management system according to an embodiment of the present invention is shown;

[0051] Figure 2 The flow schematic diagram of a key information monitoring method for service items according to an embodiment of the present invention is shown;

[0052] Figure 3 The structural block diagram of an Internet of Things intelligent home elderly care service management system according to an embodiment of the present invention is shown;

[0053] Figure 4 The flow schematic diagram of a service demand judgment method according to another embodiment of the present invention is shown;

[0054] Figure 5 The flow schematic diagram of a service personnel management method for service demands according to an embodiment of the present invention is shown;

[0055] Figure 6 The flow schematic diagram of an Internet of Things intelligent home elderly care service management method according to an embodiment of the present invention is shown;

[0056] Figure 7 The structural schematic diagram of a computing device according to an embodiment of the present invention is shown. Detailed Embodiments

[0057] The following describes the preferred embodiments of the present invention with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0058] Figure 1 The structural block diagram of an Internet of Things intelligent home elderly care service management system according to an embodiment of the present invention is shown. The system includes: a project monitoring module 101, a demand judgment module 102, and a service management platform 103; wherein,

[0059] The project monitoring module 101 is used to monitor the houses of target users based on various service items, and obtain the key information corresponding to each service item.

[0060] Preferably, the project monitoring module 101 communicates with the demand judgment module 102 through Internet of Things technology. The specific connection method can be determined according to the actual situation, such as cellular mobile communication, Bluetooth, or ZigBee, etc., which is not limited here.

[0061] The demand judgment module 102 is used to judge whether there is a service demand for the corresponding service item according to the project monitoring situation of each project, and generate corresponding service demand information when there is a service demand.

[0062] The service management platform 103 is used to select corresponding service personnel based on the service items in the service demand information, generate a service execution command and send it to the corresponding service personnel.

[0063] According to the Internet of Things intelligent home elderly care service management system provided by this embodiment, it includes: a project monitoring module, a demand judgment module, and a service management platform; wherein, the project monitoring module is used to monitor the houses of target users based on various service items and obtain key information corresponding to each service item; the demand judgment module is used to judge whether there is a service demand for the corresponding service item according to the project monitoring situation of each project, and generate corresponding service demand information when there is a service demand; the service management platform is used to select corresponding service personnel based on the service items in the service demand information, generate a service execution command and send it to the corresponding service personnel. Through the Internet of Things intelligent home elderly care service management system provided by this embodiment, by monitoring specific information corresponding to different service items in the target user's house and transmitting the corresponding monitoring information back based on Internet of Things technology, and then making a judgment through these information to obtain whether the target user has a service demand. Through automatic real-time monitoring, the living status information of the target user can be obtained at any time, especially the relevant information of the elderly, such as knowing the cleaning situation in the house through dust data, understanding the user's diet through diet data, etc.; based on the service demand, the system automatically screens out service personnel to complete the user's needs as soon as possible, avoiding the user, especially the elderly user, being forced to complete the complex service reservation process by themselves, greatly reducing the operation difficulty of the user, improving the pertinence and timeliness of service provision, and effectively improving the user experience.

[0064] Figure 2 The flowchart showing the method for monitoring key information of service items according to an embodiment of the present invention is as Figure 2 shown, and this method includes the following steps:

[0065] Step S201, according to the service content of each service item, pre-determine the key information corresponding to each service item.

[0066] Preferably, the service items at least include cleaning service, meal delivery service, and medical care service.

[0067] Step S202: By setting a variety of monitoring units in the house of the target user, key information corresponding to each service item is collected.

[0068] Preferably, the variety of monitoring units corresponding to the service items at least include: a dust cleaning unit, a food service unit, and a medical assistance unit; as Figure 3 shown, Figure 3 FIG. shows a structural block diagram of an Internet of Things intelligent home elderly care service management system according to an embodiment of the present invention. The system includes: a project monitoring module 301, a demand judgment module 302, a service management platform 303, and a demand submission module 304; wherein,

[0069] Specifically, the functions realized by the project monitoring module 301, the demand judgment module 302, and the service management platform 303 are as described above;

[0070] The demand submission module 304 is configured to generate service demand information in response to the input or click of the target user, and immediately send it to the service management platform 303.

[0071] Preferably, the project monitoring module 301 at least includes: a dust cleaning unit 3011, a food service unit 3012, and a medical assistance unit 3013;

[0072] Among them, the dust cleaning unit 3011, the food service unit 3012, and the medical assistance unit 3013 respectively correspond to cleaning services, meal delivery services, and medical care services; the key information corresponding to each service item at least includes: house dust data, diet situation data, and medical operation data.

[0073] The dust cleaning unit 3011 is configured to obtain the house dust data of the target user by using a dust thickness sensor and / or a dust concentration sensor.

[0074] In the dust cleaning unit 3011, the dust thickness sensor is set at a first preset position; wherein, the first preset position is the corner of the house of the target user; the dust concentration sensor is set at a second preset position; wherein, the second preset position is the inlet / outlet of the ventilation device in the house of the target user;

[0075] When setting the dust concentration sensor, the dust cleaning unit 3011 is further configured to,

[0076] Judge whether the ventilation device in the target user's house is turned on according to a preset time interval;

[0077] If so, use the dust collection device in the dust concentration sensor to collect the dust at the second preset position and measure it to obtain the house dust data;

[0078] If not, control the ventilation equipment in the target user's house to turn on through the Internet of Things control terminal, measure the dust concentration, and obtain the house dust data.

[0079] Among them, the first preset position can be a corner, behind a door and other positions where dust is likely to accumulate; the second preset position is specifically the outside of the air inlet / outlet of the ventilation equipment in the target user's house.

[0080] The diet service unit 3012 is used to collect image information of a preset shooting position by using a camera, and obtain the diet situation data of the target user.

[0081] Preferably, take the images of various containers (such as plates, bowls) in the tableware as training images to establish a container recognition model; the container recognition model is

[0082] S = f(p, ω)

[0083] Among them, S is the model output of the container recognition model; p is the collected image information; ω is the model parameter;

[0084] The loss function of the container recognition model is

[0085] L = (s, f(p, ω))

[0086] Among them, L is the loss function, the difference between the actual output and the model output, and s is the actual output;

[0087] Furthermore, calculate the risk function according to the expectation of the loss function

[0088]

[0089] Among them, R(ω) is the risk function; X is the total number of training images; i is the serial number of the training image.

[0090] In the training stage, obtain the image data p, and calibrate the type of the target object as the training data; set the container recognition model S = f(p, ω) to represent the input-output relationship; evaluate the risk of the container recognition model on all samples based on the expectation of the loss function; use the backpropagation method to solve ω * to minimize the risk, that is, ω * = argminR(ω).

[0091] In the testing stage, obtain the image information of the preset shooting position by using the camera at fixed time intervals; among them, the fixed time interval can be set by itself. For example, if the fixed time interval is set to 10 minutes, the camera obtains the image information every 10 minutes;

[0092] After obtaining the image information, use the Cvtcolor function to convert the image into a binary image, then further perform Gaussian filtering through the GaussianBlur function, and finally use the Sobel operator to further sharpen the image based on the differential relationship between adjacent pixels to obtain the preprocessed image information, making the contours of objects in the preprocessed image information more obvious;

[0093] Input the preprocessed image information into the container recognition model to obtain the output result, identify whether the target object in the image information is a container, and use the recognition result as the diet situation data.

[0094] Preferably, the preset shooting positions can be the dining table, the kitchen countertop or the sink.

[0095] The medical assistance unit 3013 is used to determine the medical operation data of the target user according to the preset medical operation process for the target user.

[0096] Preferably, according to the actual situation of the target user, determine the medical operation requirements and generate the corresponding medical operation process; for example, if the user is a diabetic patient who needs to inject insulin before meals and measure blood sugar levels half an hour after meals, then generate the corresponding medical operation process for the service staff to determine the medical operation data of the target user.

[0097] Furthermore, the project monitoring module 301 obtains the time data of the user obtaining various services within a preset time period (such as the last 3 months), and generates a service acquisition schedule based on this,

[0098] For example,

[0099] User Service Items Time X Food Delivery Service March 10, 2023, 9:15 X Food Delivery Service March 10, 2023, 12:45 …… …… …… X Cleaning Service March 10, 2023, 16:30 X Cleaning Service March 11, 2023, 16:30 …… …… …… X Medical Assistance March 10, 2023, 9:45 X Medical Assistance March 10, 2023, 13:15 …… …… ……

[0100] Based on the user's service acquisition schedule, a service items will be determined; divide each day into b time periods at fixed time intervals, for example, divide a time period every 3 hours, then the value of b is 8. Based on the above information, construct a high-dimensional statistical matrix including service items, time periods and dates, where a represents the service item dimension, b represents the time period dimension, and c represents the date dimension.

[0101] Further flatten the two dimensions of a and b into one dimension, that is, generate a two-dimensional matrix of ab and c, and perform normalization processing, that is

[0102] M = [M - min(M)] / [max(M) - min(M)]

[0103] Determine the user's service acquisition habit pattern according to the matrix M, and further determine the habit time periods for the user to obtain each service item.

[0104] Based on the habitual time periods corresponding to different service items, increase the information acquisition frequency of the corresponding units in the project monitoring module 301 during this time period, and reduce the information acquisition frequency of this unit in other time periods.

[0105] Step S203: Send the key information corresponding to each service item to the demand judgment module.

[0106] According to the above method, key information of each service item can be obtained by setting multiple sensors. Subsequently, through these information, it can be judged whether the target user has a service demand, and the living status information of the target user can be obtained at any time through automatic real-time monitoring. Among them, through artificial intelligence methods, it can be intelligently judged whether there are utensils at specific positions in the user's room, scientifically judge whether the user has corresponding needs, and generate service demand information. Key information of each service item is obtained by setting multiple sensors. Among them, by setting dust concentration sensors at the inlet / outlet of the ventilation equipment, the dust concentration information in the user's house can be accurately obtained, and the sanitation situation in the house can be understood, so that the service management platform can accurately handle the user's cleaning needs. In addition, through the demand submission module, the user is allowed to submit demands by himself, so as to more flexibly meet the temporary or special service needs of the user, make the service more targeted, and effectively improve the user experience. Further, by statistically analyzing the information obtained by the user for various service items, the user's habitual pattern can be obtained through big data, and thus the information acquisition frequency of the monitoring units corresponding to different service items can be scientifically controlled, improving the accuracy of monitoring, greatly reducing the number of ineffective monitoring times, and reducing the waste of information transmission and energy use.

[0107] Figure 4 Fig. shows a schematic flowchart of a service demand judgment method according to another embodiment of the present invention;

[0108] As Figure 4 shown, the method further includes:

[0109] Step S401: Obtain the key information of each service item.

[0110] Step S402: Based on the key information of each service item, judge whether it meets the service provision conditions, and obtain a judgment result.

[0111] Specifically, different service items correspond to different service provision conditions; for example, according to the recognition result of the image information (i.e., the diet situation data), if there are utensils in the image information, it is determined that there is a service demand for food delivery; further, the food delivery service can be divided into arranging service personnel to clean the tableware 2 hours after the utensils are recognized at the target location, and arranging service personnel to make the next food delivery 5 hours later.

[0112] Specifically, if the service provision conditions are met, step S403 is executed; if the service provision conditions are not met, step S404 is executed.

[0113] Step S403: Generate initial requirement information.

[0114] Step S404: Determine whether the current service item meets the corresponding execution time conditions.

[0115] Specifically, if so, step S403 is executed; if not, step S405 is executed.

[0116] Preferably, the execution time condition corresponding to the cleaning service can be 48 hours; the execution time condition corresponding to the food delivery service can be 6 hours.

[0117] Step S405: End the current requirement judgment.

[0118] Specifically, by successively judging the service provision conditions and the execution time conditions, as long as one of the two is satisfied, the corresponding service item can be executed; if neither of the two is satisfied, the service item is not executed.

[0119] Step S406: Combine the existing initial requirement information, generate corresponding service requirement information and send it to the service management platform.

[0120] According to the above method, after obtaining relevant information, further through preset judgment conditions and time conditions, it can scientifically and accurately make an intelligent judgment on whether the user has a service requirement. Accordingly, the user's service requirement can be processed in a timely manner, avoiding the work backlog caused by scheduling personnel regularly, improving work efficiency, and enhancing the user experience.

[0121] Figure 5 shows a flowchart of a service personnel management method for service requirements according to an embodiment of the present invention;

[0122] As Figure 5 shown, the method further includes:

[0123] Step S501: Based on the service item with a service requirement, determine the corresponding service personnel library.

[0124] Step S502: Determine the current to-do items of each service personnel in the service personnel library, and calculate the estimated duration for each service personnel to complete the current to-do items based on the preset operation duration of various to-do items.

[0125] Step S503: Sort the service personnel in the service personnel library according to the estimated duration.

[0126] Step S504: Select the service staff with the shortest expected market time, and complete the corresponding service items for the target user according to the service demand information.

[0127] According to the above method, by obtaining the current to-do items of each service staff in the service staff library corresponding to the service item, calculating their respective expected durations, scientifically screening out the first available service staff, and arranging this staff to handle the service demand of the target user, so that the service item of the target user can be completed in the shortest time, greatly improving the service efficiency.

[0128] Figure 6 Fig. shows a schematic flowchart of an Internet of Things intelligent home elderly care service management method according to an embodiment of the present invention;

[0129] As Figure 6 shown, the method further includes:

[0130] Step S601: Monitor the target user's house based on each service item, and obtain the key information corresponding to each service item.

[0131] Specifically, the Internet of Things intelligent home elderly care service management method further includes:

[0132] Pre-determine the key information corresponding to each service item according to the service content of each service item;

[0133] Collect the key information corresponding to each service item by setting a variety of monitoring units in the target user's house;

[0134] Send the key information corresponding to each service item to the demand judgment module;

[0135] Among them, the service items at least include cleaning service, meal delivery service, and medical care service.

[0136] Specifically, the Internet of Things intelligent home elderly care service management method further includes:

[0137] Use a dust thickness sensor and / or a dust concentration sensor to obtain the house dust data of the target user;

[0138] Use a camera to collect the image information at a preset position to obtain the diet situation data of the target user;

[0139] Determine the medical operation data of the target user according to the preset medical operation process for the target user;

[0140] Among them, the key information corresponding to each service item at least includes: house dust data, diet situation data, and medical operation data.

[0141] Preferably, the dust thickness sensor is disposed at a first preset position; wherein, the first preset position is a corner of the target user's house; the dust concentration sensor is disposed at a second preset position; wherein, the second preset position is the inlet / outlet of a ventilation device in the target user's house.

[0142] When setting the dust concentration sensor, the dust cleaning unit is further configured to

[0143] Judge whether the ventilation device in the target user's house is turned on according to a preset time interval;

[0144] If so, use the dust collection device in the dust concentration sensor to collect the dust at the second preset position and measure it to obtain the house dust data;

[0145] If not, control the ventilation device in the target user's house to be turned on through the Internet of Things control terminal to measure the dust concentration and obtain the house dust data.

[0146] Step S602: According to the project monitoring situation of each project, judge whether there is a service demand for the corresponding service project, and generate corresponding service demand information when there is a service demand.

[0147] Specifically, the Internet of Things intelligent home elderly care service management method further includes:

[0148] Based on the key information of each service project, judge whether it meets the service provision conditions to obtain a judgment result;

[0149] If the judgment result shows that the key information of the current service project meets the service provision conditions, generate initial demand information;

[0150] If the judgment result shows that the key information of the current service project does not meet the service provision conditions, judge whether the current service project meets the corresponding execution time conditions;

[0151] If the current service project meets the corresponding execution time conditions, generate initial demand information;

[0152] If the current service project does not meet the corresponding execution time conditions, end the current demand judgment;

[0153] Combine the existing initial demand information to generate corresponding service demand information and send it to the service management platform.

[0154] Step S603: Select corresponding service personnel based on the service project in the service demand information, generate a service execution command and send it to the corresponding service personnel.

[0155] Specifically, the Internet of Things intelligent home elderly care service management method further includes:

[0156] Based on the service items with service requirements, determine the corresponding service personnel library;

[0157] Determine the current to-do items of each service personnel in the service personnel library, and calculate the estimated duration for each service personnel to complete the current to-do items based on the preset operation duration of various to-do items;

[0158] Sort the service personnel in the service personnel library according to the estimated duration;

[0159] Select the service personnel with the shortest estimated time, and complete the corresponding service items for the target user according to the service demand information.

[0160] Specifically, the Internet of Things intelligent home care service management method further includes:

[0161] In response to the input or click of the target user, generate service demand information and immediately send it to the service management platform.

[0162] According to the Internet of Things intelligent home elderly care service management method provided in this embodiment, the house of the target user is monitored based on each service item to obtain the key information corresponding to each service item; according to the project monitoring situation of each project, it is judged whether there is a service demand for the corresponding service item, and when there is a service demand, the corresponding service demand information is generated; based on the service item in the service demand information, the corresponding service personnel are selected, and a service execution command is generated and sent to the corresponding service personnel. Through the Internet of Things intelligent home elderly care service management method provided in this embodiment, by monitoring the specific information corresponding to different service items in the target user's house and transmitting the corresponding monitoring information back based on the Internet of Things technology, and then judging through these information to obtain whether the target user has a service demand. Through automatic real-time monitoring, the living status information of the target user can be obtained at any time, especially the relevant information of the elderly. For example, the cleaning situation in the house can be known through the dust data, and the diet situation of the user can be understood through the diet situation data, etc.; after obtaining the relevant information, further through the preset judgment conditions and time conditions, the service demand of the user is intelligently judged scientifically and accurately. Accordingly, the service demand of the user can be processed in time, avoiding the work backlog caused by scheduling personnel regularly, improving the work efficiency, and enhancing the user experience; based on the service demand, the system automatically screens out the service personnel to complete the user demand as soon as possible, avoiding the user, especially the elderly user, being forced to complete the complex service reservation process by themselves, greatly reducing the operation difficulty of the user, improving the pertinence and timeliness of service provision, and effectively improving the user experience. By obtaining the current to-do items of each service personnel in the service personnel library corresponding to the service item and calculating their respective estimated durations, the first available service personnel are scientifically screened out, and this person is arranged to handle the service demand of the target user so that the service item of the target user can be completed in the shortest time, greatly improving the service efficiency. At the same time, by setting a dust concentration sensor at the inlet / outlet of the ventilation equipment, the dust concentration information in the user's house is accurately obtained to understand the sanitation situation in the house, so that the service management platform can accurately process the cleaning demand of the user. In addition, through the demand submission module, the user is allowed to submit the demand by himself, so as to more flexibly meet the temporary or special service demands of the user, make the service more targeted, and effectively improve the user experience.

[0163] The present invention also provides a non-volatile computer storage medium, and the computer storage medium stores at least one executable instruction, and the executable instruction can execute the Internet of Things intelligent home elderly care service management method in any of the above method embodiments.

[0164] Figure 7 FIG. shows a schematic structural diagram of a computing device according to an embodiment of the present invention. The specific implementation of the computing device in the specific embodiments of the present invention is not limited.

[0165] As shown Figure 7 in the figure, the computing device may include: a processor 702, a communications interface 704, a memory 706, and a communication bus 708.

[0166] Among them:

[0167] The processor 702, the communications interface 704, and the memory 706 communicate with each other through the communication bus 708.

[0168] The communications interface 704 is used to communicate with network elements of other devices such as clients or other servers.

[0169] The processor 702 is used to execute the program 710, and specifically can execute the relevant steps implemented in the above-mentioned embodiments of the Internet of Things intelligent home elderly care service management system.

[0170] Specifically, the program 710 may include program code, and the program code includes computer operation instructions.

[0171] The processor 702 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present invention. One or more processors included in the computing device may be of the same type of processor, such as one or more CPUs; or may be of different types of processors, such as one or more CPUs and one or more ASICs.

[0172] The memory 706 is used to store the program 710. The memory 706 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk memory.

[0173] The program 710 is specifically used to cause the processor 702 to execute the operations implemented in any of the above system embodiments. For the specific implementation of each step in the program 710, reference may be made to the corresponding steps and descriptions in the corresponding units in the above-mentioned embodiments of the Internet of Things intelligent home elderly care service management system, which will not be elaborated here. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described devices and modules can refer to the corresponding process descriptions in the foregoing method embodiments, which will not be elaborated here.

[0174] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. A variety of general-purpose systems may also be used in conjunction with the teachings presented herein. The structure required to construct such systems will be apparent from the above description. Additionally, the present invention is not directed to any particular programming language. It should be understood that the teachings of the present invention described herein can be implemented in a variety of programming languages, and the description of a particular language above is for the purpose of disclosing the best mode of the present invention.

[0175] In the specification provided herein, numerous specific details are set forth. However, it can be understood that embodiments of the present invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0176] Similarly, it should be understood that, in order to streamline this disclosure and assist in understanding one or more of the various inventive aspects, in the above description of the exemplary embodiments of the present invention, the various features of the present invention are sometimes grouped together in a single embodiment, figure, or description thereof. However, the disclosed method should not be construed as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as the claims reflect, the inventive aspects lie in less than all of the features of the single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of the present invention.

[0177] Those skilled in the art will appreciate that the modules in the devices in the embodiments can be adaptively changed and disposed in one or more devices different from the embodiments. The modules or units or components in the embodiments can be combined into one module or unit or component, and in addition, they can be divided into multiple sub-modules or sub-units or sub-components. Except for the fact that at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all the features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all the processes or units of any method or device so disclosed. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) can be replaced by an alternative feature that provides the same, equivalent, or similar purpose.

[0178] In addition, those skilled in the art will understand that although some embodiments described herein include certain features included in other embodiments rather than other features, the combination of features of different embodiments means that it is within the scope of the present invention and forms different embodiments. For example, in the claims, any one of the claimed embodiments can be used in any combination.

[0179] Each component embodiment of the present invention can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that a microprocessor or a digital signal processor (DSP) can be used in practice to implement some or all of the functions of some or all of the components according to the embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., a computer program and a computer program product) for performing part or all of the methods described herein. Such a program implementing the present invention can be stored on a computer-readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, or provided on a carrier signal, or in any other form.

[0180] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. An IoT smart home elderly care service management system, comprising: Project monitoring module, demand judgment module and service management platform; among them, The project monitoring module is used to monitor the target user's house based on each service project and obtain key information corresponding to each service project; wherein, According to the service content of each service item, the key information corresponding to each service item is determined in advance; by setting different types of monitoring units in the target user's house, the key information corresponding to each service item is collected; the different types of monitoring units at least include: dust cleaning unit, catering service unit and medical assistance unit; wherein, The dust cleaning unit is used to obtain the house dust data of the target user by using a dust thickness sensor and / or a dust concentration sensor; The food service unit is used to collect image information of a preset shooting position using a camera to obtain food situation data of a target user; The images of various tableware are used as training images to establish a tableware recognition model; the tableware recognition model is S=f(p,ω) Among them, S is the model output of the container recognition model; p is the collected image information; ω is the model parameter; The loss function of the container recognition model is L=(s,f(p,ω)) Where L is the loss function, the difference between the actual output and the model output, and s is the actual output; Furthermore, the risk function is calculated based on the expectation of the loss function Where R(ω) is the risk function; X is the total number of training images; i is the sequence number of the training image; In the training phase, image data p is obtained and the types of target objects are calibrated as training data; the container recognition model S = f(p, ω) is set to represent the input-output relationship; based on the expectation of the loss function, the risk of the container recognition model is evaluated on all samples; and the back propagation method is used to solve ω * Minimize the risk, that is, ω * =argminR(ω); During the testing phase, the camera is used to obtain image information of a preset shooting position at fixed time intervals; After obtaining the image information, the Cvtcolor function is used to convert the image into a binary image, and then the GaussianBlur function is used to further perform Gaussian filtering. Finally, the sobel operator is used to further sharpen the image based on the differential relationship between adjacent pixels to obtain the preprocessed image information, so that the outline of the object in the preprocessed image information is more obvious. The pre-processed image information is input into the container recognition model to obtain an output result, and whether the target object in the image information is a container is identified, and the identification result is used as the dietary status data; The medical auxiliary unit is used to determine the medical operation data of the target user according to the preset medical operation process for the target user; Obtain the time data of users obtaining various services within a preset time period, and generate a service acquisition schedule based on it; determine the a service items involved by the user based on the user's service acquisition schedule; divide each day into b time periods at fixed hour intervals; thereby construct a high-level statistical matrix containing service items, time periods and dates, where a represents the service item dimension, b represents the time period dimension, and c represents the date dimension; further flatten the two dimensions a and b into one dimension, that is, generate a two-dimensional matrix of ab and c, and perform normalization processing, that is, M=[M-min(M)] / [max(M)-min(M)] Determine the user's habitual mode of obtaining services according to the matrix M, and further determine the user's habitual time period for obtaining each service item; based on the habitual time periods corresponding to different service items, increase the information acquisition frequency of the unit corresponding to the service item in the item monitoring module during the habitual time period corresponding to each service item, and reduce the information acquisition frequency of the unit in other time periods; The demand judgment module is used to judge whether there is a service demand for the corresponding service project according to the project monitoring situation of each project, and generate corresponding service demand information when there is a service demand; wherein, Obtain key information of each service item; based on the key information of each service item, determine whether the service provision conditions are met and obtain a determination result; if the service provision conditions are met, generate initial demand information; if the service provision conditions are not met, determine whether the current service item meets the corresponding execution time conditions; if the execution time conditions are met, generate initial demand information; if the execution time conditions are not met, end this demand determination; wherein, in combination with the currently existing initial demand information, generate corresponding service demand information and send it to the service management platform; The service management platform is used to select corresponding service personnel based on the service items in the service demand information, generate service execution commands and send them to the corresponding service personnel.

2. The IoT smart home elderly care service management system according to claim 1 is characterized in that: The project monitoring module is further used to: Send the key information corresponding to each service item to the demand judgment module; Among them, the services include at least cleaning services, meal delivery services and medical care services.

3. The IoT smart home elderly care service management system according to claim 1 is characterized in that: The dust cleaning unit, the catering service unit and the medical assistance unit correspond to cleaning service, meal delivery service and medical care service respectively; the key information corresponding to each service item includes at least: house dust data, dietary data and medical operation data.

4. The IoT smart home elderly care service management system according to claim 1 is characterized in that: The demand determination module is further used for: Based on the key information of each service item, determine whether the service provision conditions are met and obtain the judgment result; If the judgment result shows that the key information of the current service project meets the service provision conditions, the initial demand information is generated; If the judgment result shows that the key information of the current service project does not meet the service provision conditions, then determine whether the current service project meets the corresponding execution time conditions; If the current service project meets the corresponding execution time conditions, the initial demand information is generated; If the current service item does not meet the corresponding execution time conditions, then this demand judgment ends; Combined with the existing initial demand information, the corresponding service demand information is generated and sent to the service management platform.

5. The IoT smart home elderly care service management system according to claim 1 is characterized in that: The service management platform is further used for: Determine the corresponding service personnel pool based on the service items with service demand; Determine the current to-do items of each service personnel in the service personnel database, and calculate the estimated time for each service personnel to complete the current to-do items based on the preset operation time of each to-do item; Sort the service personnel in the service personnel pool according to the estimated duration; Select the service personnel with the shortest expected market time and complete the corresponding service items for the target users based on the service demand information.

6. The IoT smart home elderly care service management system according to claim 1 is characterized in that: In the dust cleaning unit, the dust thickness sensor is arranged at a first preset position; wherein the first preset position is a corner of the target user's house; the dust concentration sensor is arranged at a second preset position; wherein the second preset position is an air inlet / outlet of a ventilation device in the target user's house; When the dust concentration sensor is provided, the dust cleaning unit is further used to: Determine whether the ventilation equipment in the target user's house is turned on according to a preset time interval; If yes, the dust collecting device in the dust concentration sensor is used to collect and measure the dust at the second preset position to obtain house dust data; If not, the ventilation equipment in the target user's house is turned on through the IoT control terminal to measure the dust concentration and obtain the house dust data.

7. The IoT smart home elderly care service management system according to claim 1 is characterized in that: The system further comprises: a demand submission module; The demand request module is used to generate service demand information in response to the input or click of the target user, and send it to the service management platform in real time.

8. A method for managing elderly care services based on the Internet of Things (IoT) smart home, comprising: Monitor the target user's house based on each service item and obtain key information corresponding to each service item; According to the service content of each service item, the key information corresponding to each service item is determined in advance; by setting different types of monitoring units in the target user's house, the key information corresponding to each service item is collected; the service items at least include: cleaning service, meal delivery service and medical care service; among them, Using a dust thickness sensor and / or a dust concentration sensor, obtaining house dust data of a target user; Use the camera to collect image information at a preset shooting position to obtain the target user's dietary data; The images of various tableware in the tableware are used as training images to establish a tableware recognition model; the tableware recognition model is S = f(p, ω) Among them, S is the model output of the container recognition model; p is the collected image information; ω is the model parameter; The loss function of the container recognition model is L = (s, f (p, ω)) Where L is the loss function, the difference between the actual output and the model output, and s is the actual output; Furthermore, the risk function is calculated based on the expectation of the loss function Where R(ω) is the risk function; X is the total number of training images; i is the sequence number of the training image; In the training phase, image data p is obtained and the types of target objects are calibrated as training data; the container recognition model S = f(p, ω) is set to represent the input-output relationship; based on the expectation of the loss function, the risk of the container recognition model is evaluated on all samples; and the back propagation method is used to solve ω * Minimize the risk, that is, ω * =argminR(ω); During the testing phase, the camera is used to obtain image information of a preset shooting position at fixed time intervals; After obtaining the image information, the Cvtcolor function is used to convert the image into a binary image, and then the GaussianBlur function is used to further perform Gaussian filtering. Finally, the sobel operator is used to further sharpen the image based on the differential relationship between adjacent pixels to obtain the preprocessed image information, so that the outline of the object in the preprocessed image information is more obvious. The pre-processed image information is input into the container recognition model to obtain an output result, and whether the target object in the image information is a container is identified, and the identification result is used as the dietary status data; Determine the medical operation data of the target user according to the preset medical operation process for the target user; Obtain the time data of users obtaining various services within a preset time period, and generate a service acquisition schedule based on it; determine the a service items involved by the user based on the user's service acquisition schedule; divide each day into b time periods at fixed hour intervals; thereby construct a high-level statistical matrix containing service items, time periods and dates, where a represents the service item dimension, b represents the time period dimension, and c represents the date dimension; further flatten the two dimensions a and b into one dimension, that is, generate a two-dimensional matrix of ab and c, and perform normalization processing, that is, M=[M-min(M)] / [max(M)-min(M)] Determine the user's habitual mode of obtaining services according to the matrix M, and further determine the user's habitual time period for obtaining each service item; based on the habitual time periods corresponding to different service items, increase the information acquisition frequency of the unit corresponding to the service item in the item monitoring module during the habitual time period corresponding to each service item, and reduce the information acquisition frequency of the unit in other time periods; According to the project monitoring situation of each project, determine whether there is a service demand for the corresponding service project, and generate corresponding service demand information when there is a service demand; Obtain key information of each service item; based on the key information of each service item, determine whether the service provision conditions are met and obtain a determination result; if the service provision conditions are met, generate initial demand information; if the service provision conditions are not met, determine whether the current service item meets the corresponding execution time conditions; if the execution time conditions are met, generate initial demand information; if the execution time conditions are not met, end this demand determination; wherein, in combination with the currently existing initial demand information, generate corresponding service demand information and send it to the service management platform; Select the corresponding service personnel based on the service items in the service demand information, generate a service execution command and send it to the corresponding service personnel.

9. A computing device comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform the operations implemented by the Internet of Things smart home elderly care service management system as described in any one of claims 1-7.

10. A computer storage medium, wherein at least one executable instruction is stored in the storage medium, and the executable instruction enables a processor to execute the operations implemented by the Internet of Things smart home elderly care service management system as described in any one of claims 1 to 7.

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