CN106773708B - Multifunctional nursing bed remote control method and system - Google Patents
Multifunctional nursing bed remote control method and system Download PDFInfo
- Publication number
- CN106773708B CN106773708B CN201710015017.8A CN201710015017A CN106773708B CN 106773708 B CN106773708 B CN 106773708B CN 201710015017 A CN201710015017 A CN 201710015017A CN 106773708 B CN106773708 B CN 106773708B
- Authority
- CN
- China
- Prior art keywords
- nursing bed
- multifunctional nursing
- adjusting
- instruction
- bedridden
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
Abstract
The invention discloses a remote control method and a remote control system for a multifunctional nursing bed, wherein the method comprises the following steps: receiving an adjusting mode selection instruction of a first multifunctional nursing bed issued by a user, wherein the adjusting mode comprises an automatic adjusting mode and a manual adjusting mode; judging whether the adjusting mode selected by the user is an automatic adjusting mode; if the first multifunctional nursing bed is in the automatic adjusting mode, matching all second bedridden data stored in a cloud server according to the body attributes of the first bedridden corresponding to the first multifunctional nursing bed, so as to match the second bedridden data with the highest body attribute similarity of the first bedridden; the posture of the first multifunctional nursing bed is adjusted by taking the posture data of the second multifunctional nursing bed corresponding to the second bedridden person data as a standard; and if the first multifunctional nursing bed is in the manual adjusting mode, adjusting the posture of the first multifunctional nursing bed according to a corresponding posture adjusting instruction issued by the user.
Description
Technical Field
The invention relates to a remote control method and a remote control system for a multifunctional nursing bed.
Background
The Chinese population structure tends to be aging, and with the social progress and the continuous improvement of population quality, a part of dysfunctional groups in the society: the elderly, the disabled, the injured and the patients are also receiving more and more social attention; as birth control is carried out, the Chinese population is 4: 2: the trend is developing, the burden of each family is getting heavier, and the nursing staff is extremely scarce. At present, no better scheme or product is provided for solving the problem, so that a remote control method and a remote control system for the multifunctional nursing bed, which can reduce the burden of families, reduce the labor intensity of nursing personnel and improve the comfort of bedridden people, are urgently needed.
Disclosure of Invention
Aiming at the defects of the prior art, the technical problems to be solved by the invention are as follows: a multifunctional nursing bed remote control method and system capable of remotely controlling a multifunctional nursing bed manually or automatically are provided.
In order to solve the technical problems, the invention adopts a technical scheme that: the remote control method of the multifunctional nursing bed is used for remotely adjusting the posture of the multifunctional nursing bed and comprises the following steps:
receiving an adjusting mode selection instruction of a first multifunctional nursing bed issued by a user, wherein the adjusting mode comprises an automatic adjusting mode and a manual adjusting mode;
judging whether the adjusting mode selected by the user is an automatic adjusting mode;
if the first multifunctional nursing bed is in the automatic adjustment mode, matching all second bedridden data stored in a cloud server according to the body attributes of the first bedridden corresponding to the first multifunctional nursing bed, so as to match the second bedridden data with the highest body attribute similarity with the first bedridden, wherein the method comprises the following steps: determining the weight coefficient of each physical attribute; determining similarity under single item attributes: performing one-to-one matching calculation on the individual attributes under the body attributes of the first bedridden person and the individual attributes under the body attributes of all the second bedridden persons stored in the cloud server, so as to obtain similarity data with the highest similarity to the individual attributes of the first bedridden person; determining the integrated similarity under all physical attributes: multiplying each single attribute in a group of second bedridden body attributes with highest similarity with the corresponding weight coefficient to obtain a group of second bedridden body attributes with highest comprehensive similarity, and regarding the body attributes of the second bedridden as a group of data with highest similarity with the first bedridden; wherein the physical attribute comprises one or any combination of physical condition, age, BMI, diseased condition, blood pressure, heart rate; the second bedridden data comprises corresponding body attributes and corresponding posture data of the second multifunctional nursing bed;
the posture of the first multifunctional nursing bed is adjusted by taking the posture data of the second multifunctional nursing bed corresponding to the second bedridden person data as a standard;
and if the first multifunctional nursing bed is in the manual adjusting mode, adjusting the posture of the first multifunctional nursing bed according to a corresponding posture adjusting instruction issued by the user.
Further, the posture adjusting command comprises one or any combination of a left/right side turning command, a back plate lifting/lowering command, a leg plate lifting/lowering command, a whole lifting/lowering command and a bedpan control command of the first multifunctional nursing bed.
Further, in the step of receiving the adjustment mode selection instruction of the first multifunctional nursing bed issued by the user, the adjustment mode selection instruction of the first multifunctional nursing bed issued by the user is received through the remote control terminal;
in the step of judging whether the adjusting mode selected by the user is the automatic adjusting mode, judging whether the adjusting mode selected by the user is the automatic adjusting mode through the remote control terminal;
if the first bedridden person is in the automatic adjustment mode, the remote control terminal matches the body attributes of the first bedridden person with all second bedridden person data stored in the cloud server;
in the step of adjusting the posture of the first multifunctional nursing bed by taking the posture data of the second multifunctional nursing bed corresponding to the second bedridden person data as a standard, the posture of the first multifunctional nursing bed is automatically adjusted through the cloud server.
Further, before the step of receiving an adjustment mode selection instruction of the first multifunctional nursing bed issued by the user through the remote control terminal, the method further comprises the following steps:
the method comprises the steps of obtaining a request instruction sent by a first bedridden person through a first multifunctional nursing bed for remotely adjusting the posture of the first multifunctional nursing bed.
Further, in the step of adjusting the posture of the first multifunctional nursing bed according to the corresponding posture adjustment instruction issued by the user, the method specifically includes:
analyzing the attitude adjusting instruction to obtain the category of the attitude adjusting instruction and the adjusting parameters carried by the attitude adjusting instruction;
acquiring a current posture of the first multifunctional nursing bed, wherein the current posture comprises a left/right side turning state, a back plate lifting/lowering state, a leg plate lifting/lowering state, an overall lifting/lowering state and a bedpan opening/closing state of the first multifunctional nursing bed; if the posture adjusting instruction is a left turning instruction, adjusting the first multifunctional nursing bed according to the current turning state and left turning adjusting parameters carried by the left turning instruction;
if the posture adjusting instruction is a right turning instruction, adjusting a first multifunctional nursing bed according to the current turning state and a right turning adjusting parameter carried by the right turning instruction;
if the posture adjusting instruction is a backboard starting instruction, adjusting a first multifunctional nursing bed according to the current backboard state and a backboard starting adjusting parameter carried by the backboard starting instruction;
if the posture adjusting instruction is a backboard descending instruction, adjusting a first multifunctional nursing bed according to the current backboard state and a backboard descending adjusting parameter carried by the backboard descending instruction;
if the posture adjusting instruction is a leg plate lifting instruction, adjusting a first multifunctional nursing bed according to the current leg plate state and leg plate lifting adjusting parameters carried by the leg plate lifting instruction;
if the posture adjusting instruction is a leg plate descending instruction, adjusting a first multifunctional nursing bed according to the current leg plate state and leg plate descending adjusting parameters carried by the leg plate descending instruction;
if the posture adjusting instruction is an integral lifting instruction, adjusting the first multifunctional nursing bed according to the current horizontal height of the first multifunctional bed and integral lifting adjusting parameters carried by the integral lifting instruction;
and if the posture adjusting instruction is an integral descending instruction, adjusting the first multifunctional nursing bed according to the current horizontal height of the first multifunctional bed and integral descending adjusting parameters carried by the integral descending instruction.
Further, in the step of determining the weight coefficient of each physical attribute, determining the weight coefficient of each physical attribute according to a pre-established hierarchical model and an importance judgment matrix;
in the pre-established hierarchical model, a target layer of the total similarity of the body attribute of the second bedridden person and the body attribute of the first bedridden person and a criterion layer of the similarity of the individual attribute of the second bedridden person and the individual attribute of the first bedridden person are included; establishing an importance judgment matrix of each item of data of the criterion layer relative to the target layer according to the hierarchical model:
in the formula (1), each matrix point represents the importance degree proportion between the corresponding two single attributes;
determining the weight coefficient of each attribute relative to the body attribute of the first bedridden person corresponding to the first multifunctional nursing bed according to the importance judgment matrix:
geometric averaging is carried out on each row vector of the judgment matrix A by
1,2,.. m, where m is 6, yields:
normalize the W vector by
1,2, m, m 6, yielding:
further, in the step of determining the similarity of the physical states of the bedridden people under the single attribute, the matching calculation is specifically performed through the following formula:
in the formula (6), SijRepresenting the similarity of the body states of the ith bedridden person and the jth bedridden person in the cloud server under the single attribute, xkiX in data representing the ith patient in bedkValue of index, xkjX in data representing j bed-ridden personskValue of index, xkmaxData representing all bed-ridden persons xkMaximum value of index, xkminData representing all bed-ridden persons xkMinimum value of index, 0 is not more than Dij≤1。
Further, in the step of determining the comprehensive similarity of all the body attributes, the method specifically includes the following steps:
according to the similarity of the data of the bedridden people in the cloud server and the data of the new bedridden people to be searched in each physical attribute calculated by the formula (6), a comprehensive ranking value matrix is obtained:
in the formula (13), susual-statusAs a physical condition attribute, snlIs an age attribute, shbAs a property of the diseased condition, scagBMI body mass attribute, sctIs the blood pressure attribute, scagIs a heart rate attribute;
and (3) multiplying the formula (13) by the weight vector w to obtain the comprehensive similarity, thereby matching a group of the bedridden data with the highest similarity:
in order to solve the technical problems, the invention adopts a technical scheme that: the utility model provides a remote monitoring system based on multi-functional nursing bed, including the multi-functional nursing bed that has the video communication function, cloud ware and remote control terminal:
the remote control terminal is used for inputting body attribute information of the bedridden person to the cloud server; the remote control terminal is also used for being in communication connection with the multifunctional nursing bed, so that a remote control terminal user can be in video communication with a bedridden person on the multifunctional nursing bed; the multifunctional nursing bed is also used for entering an automatic adjusting mode or a manual adjusting mode according to an adjusting mode selection instruction issued by a user, feeding back to the cloud server when the multifunctional nursing bed is in the automatic adjusting mode, and adjusting the posture of the first multifunctional nursing bed according to a corresponding posture adjusting instruction if the multifunctional nursing bed is in the manual adjusting mode;
the cloud server is used for storing body attribute data of the bedridden person and corresponding adjustment data of the multifunctional nursing bed; the multifunctional nursing bed is also used for searching and matching the body attribute of the bedridden with the highest comprehensive similarity according to the automatic adjusting mode fed back by the remote control terminal, and taking the posture of the multifunctional nursing bed corresponding to the body attribute of the bedridden with the highest comprehensive similarity as a standard to adjust the current posture of the multifunctional nursing bed needing to be adjusted;
the multifunctional nursing bed is used for carrying out video communication with the remote intelligent control terminal according to the request of a patient lying in bed and is also used for adjusting the posture of the multifunctional nursing bed according to the adjusting instruction of the cloud server or the remote control terminal.
According to the remote control method and the remote control system for the multifunctional nursing bed, two adjusting modes are provided for a user to select, so that the user can conveniently select an adjusting mode more suitable for the user, in the automatic adjusting mode, the posture of the multifunctional nursing bed is automatically and remotely adjusted on the basis of the body attribute of a bedridden person and the preference of a short period of time by using the automatic matching search function of the cloud server, so that more comfortable experience and feeling are provided for the bedridden person, and manual operation is reduced. The multifunctional nursing bed is upgraded in a personalized, networked and intelligent manner, and a new generation of Internet and multifunctional nursing rehabilitation bed rehabilitation nursing product is provided for the majority of users. The intention of a bedridden person can be determined through a video communication mode, a remote control terminal user can conveniently know and master the condition of the bedridden person in real time, the remote control terminal user can conveniently monitor the posture of the multifunctional nursing bed while adjusting the posture, the remote control terminal user and the bedridden person can both actively initiate video communication, the posture of the multifunctional nursing bed is actively requested to be adjusted, the bedridden persons such as incapacitated and semi-incapacitated patients, disabled persons and old people can be better served, and meanwhile, the labor of children and nursing staff is relieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a remote control method of a multifunctional nursing bed according to a first embodiment of the present invention.
Fig. 2 is a flowchart of a remote control method for a multifunctional nursing bed according to a second embodiment of the present invention.
Fig. 3 is a flowchart of the searching and matching procedure in the third embodiment of the remote control method of the multifunctional nursing bed of the present invention.
Fig. 4 is a block diagram of an embodiment of the remote control device of the multifunctional nursing bed of the present invention.
Fig. 5 is a block diagram of an embodiment of the multifunctional nursing bed-based telemonitoring system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating a remote control method for a multifunctional nursing bed according to a first embodiment of the present invention. The multifunctional nursing bed remote control method of the first embodiment is used for remotely adjusting the posture of the multifunctional nursing bed, and comprises the following steps:
s10, receiving an adjusting mode selection instruction of a first multifunctional nursing bed sent by a user, wherein the adjusting mode comprises an automatic adjusting mode and a manual adjusting mode;
the user can select the adjusting mode through the soft/hard function button on the first multifunctional nursing bed, and can also select the adjusting mode through the remote control terminal. When the adjustment mode is selected through the remote control terminal, a user of the remote control terminal is generally a guardian, a relative person or a friend of a bedridden person on the first multifunctional nursing bed, and when the adjustment mode is selected through the soft/hard function key on the first multifunctional nursing bed, the user is generally the bedridden person or the guardian, the relative person or the friend of the bedridden person near the first multifunctional nursing bed.
In this embodiment, a remote control strategy is formed by the remote control terminal, the cloud server and the multifunctional nursing bed, and the cloud server stores a plurality of data (including but not limited to body attributes and posture data of the corresponding multifunctional nursing bed) of the bedridden person. The remote control terminal comprises, but is not limited to, a desktop computer, a notebook computer, a mobile phone, a tablet personal computer, a PDA (personal Digital assistant) and other modern intelligent computing machines which can perform numerical calculation, logic calculation and memory function, can operate according to programs and automatically process mass data at high speed.
In this embodiment, the multifunctional nursing bed that needs to be adjusted at present is referred to as a first multifunctional nursing bed, the bed-ridden person corresponding to the first multifunctional nursing bed is referred to as a first bed-ridden person, the physical attributes of the first bed-ridden person, the related data of the first multifunctional nursing bed is called first bedridden data, other multifunctional nursing beds which have the same structure or similar function with or share the same cloud server with the first multifunctional nursing bed are called second multifunctional nursing beds, bedridden people corresponding to the second multifunctional nursing beds are called second bedridden people, and the bedridden people data stored in the cloud server are called second bedridden people data (including data stored in the cloud server by the first bedridden people before, data updated in real time and stored body attributes, such as the related data or the latest body attribute data of the first multifunctional bed updated in real time). Although the terms "first", "second", etc. are used to describe the multifunctional care bed/bed-ridden/bedridden data, these multifunctional care bed/bed-ridden/bedridden data should not be limited by these terms. These terms are used only to distinguish one from another, and their main purpose is to distinguish between a multifunctional care bed requiring adjustment and a stored multifunctional care bed, and to distinguish between bed-ridden person/bed-ridden person data corresponding to the first multifunctional care bed currently requiring adjustment and bed-ridden person data/corresponding bed-ridden person stored in the cloud server. Thus, the "first multi-functional care bed" may also be referred to as the "second multi-functional care bed", the "first bed rest" may also be referred to as the "second bed rest", and the "first bed rest data" may also be referred to as the "second bed rest data" without departing from the teachings of the present invention.
In this step, an adjustment mode selection instruction of the first multifunctional nursing bed issued by the user is received through the remote control terminal. Specific examples of combinations: the user can download APP in the mobile phone, and when the mobile phone is used for the first time, the APP reminds the user to enter registration login data, such as a user name, a password and associated first bedridden person data, wherein the first bedridden person data includes but is not limited to body attributes and data of a corresponding first multifunctional nursing bed, the body attributes include but are not limited to one or any combination of sex, physical condition, age, BMI, illness, blood pressure and heart rate of a bedridden person, and the data of the first multifunctional nursing bed includes but is not limited to: the data are recorded into the APP and then stored into the cloud server, when the posture of the first multifunctional nursing bed is adjusted subsequently, the posture data are stored into the cloud server along with the adjustment to form adjustment records, the adjustment records form preference records of bedridden people in a short time, and the data and the records are stored into the server to form a bedridden people database.
When the user needs to automatically adjust the posture of the first multifunctional nursing bed, the APP can push the automatic adjustment information on a corresponding page of the APP according to the input first bedridden person data or the nearest preference setting of the first bedridden person (namely, the cloud server matches the second bedridden person data with the highest similarity in the bedridden person database according to the first bedridden person data in advance, and pushes the posture data of the second multifunctional nursing bed corresponding to the second bedridden person to the corresponding page of the APP). A soft function key (e.g., "auto-adjust" soft key) or the like may also be displayed on the corresponding page of the APP, and the user generates the auto-mode-adjustment selection instruction by clicking the soft key or auto-adjustment information on the corresponding page of the APP.
When a user needs to manually adjust the posture of the first multifunctional nursing bed, a back lifting button, a back lowering button, a leg lifting button, a leg falling button, a whole lifting button, a whole lowering button, a reset button, a left side turning button, a right side turning button, a bed pan control button and the like can be displayed on the corresponding page of the APP. The user can click any button to generate a manual adjustment mode selection instruction, for example, when the user wants to perform manual adjustment, the user can directly click one of the posture adjustment buttons to enter a manual adjustment mode, meanwhile, the currently clicked posture adjustment button triggers a posture adjustment instruction, the posture adjustment instruction can be forwarded to the first multifunctional nursing bed through the cloud server, and can also be directly sent to the first multifunctional nursing bed, and the first multifunctional nursing bed performs corresponding actions after receiving the posture adjustment instruction.
S11, judging whether the adjusting mode selected by the user is an automatic adjusting mode;
in this step, whether the adjustment mode selected by the user is the automatic adjustment mode is judged through the remote control terminal. The specific judgment method is as follows:
when the automatic adjustment soft key in the APP page is triggered, the adjustment mode selected by the user is judged to be the automatic adjustment mode through the triggering, and when the corresponding posture adjustment button in the APP page is triggered, the adjustment mode selected by the user is judged to be the manual adjustment mode through the triggering.
It can be understood that the triggering and determining modes of the automatic adjustment mode and the manual adjustment mode are not limited to the above modes, and for example, physical keys, sound triggering, and the like on the mobile phone can be selected.
S12, if the mode is the automatic adjustment mode, matching the body attributes of all second bed-ridden persons stored in the cloud server according to the body attributes of the first bed-ridden person corresponding to the first multifunctional nursing bed, so as to match second bed-ridden person data with the highest body attribute similarity of the first bed-ridden person, wherein the body attributes include but are not limited to one or any combination of body condition, age, BMI, illness, blood pressure and heart rate; the second bedridden data comprises body attributes and corresponding postures of the second multifunctional nursing bed;
in this step, after determining that the automatic adjustment mode is triggered, the APP notifies the cloud server to perform similarity retrieval matching of the corresponding first bedridden person data. When the cloud server searches the bedridden person database, the comfort parameter information of the bedridden person of the type most similar to the physical condition of the first bedridden person is preferred (including previous data of the first bedridden person, namely the data of the first bedridden person before the current time node is also summarized into a search range, and if the first bedridden person is used for the first time, the search range is all data of the second bedridden person stored in the cloud server), so that the finally searched data of the bedridden person with the physical condition is stronger in reference. When the retrieval is matched, the database takes time as a main index, indexes of various related attributes are contained in different time points, and indexes of different levels are arranged in a layered mode, so that the retrieval and application are more efficient. The information content of the database is classified according to gender and comprises similarity matching information from six aspects of physical condition, age, BMI, diseased condition, blood pressure and heart rate. And video information (including sound) of the bedridden person is saved. The personalized bedridden person physical condition retrieval is to perform the retrieval of bedridden persons with similar conditions on the basis of the established structured database of the bedridden persons. And combines with the preference state statistics of the bedridden person per se for a period of time to provide the personalized intelligent control function for the bedridden person
S13, adjusting the posture of the first multifunctional nursing bed by taking the posture of the second multifunctional nursing bed corresponding to the second bedridden person as a standard; and after the cloud server retrieves the second bedridden person data which is the most matched, the cloud server acquires the posture of the second multifunctional nursing bed which is closest to the current time node in the second bedridden person data which is the most matched as a standard, and automatically adjusts the posture of the first multifunctional nursing bed.
And S14, if the mode is the manual adjusting mode, adjusting the posture of the first multifunctional nursing bed according to the corresponding posture adjusting instruction issued by the user. The posture adjusting command comprises one or any combination of a left/right side turning command, a back plate lifting/lowering command, a leg plate lifting/lowering command, an overall lifting/lowering command and a bedpan control command of the first multifunctional nursing bed. The posture of the first multifunctional nursing bed can be adjusted by adopting the following method:
s141, analyzing the posture adjusting instruction to obtain the category of the posture adjusting instruction and the adjusting parameters carried by the posture adjusting instruction;
s142, acquiring the current posture of the first multifunctional nursing bed, wherein the current posture comprises a left/right side turning state, a back plate lifting/lowering state, a leg plate lifting/lowering state, an overall lifting/lowering state and a bedpan opening/closing state of the first multifunctional nursing bed;
s143, adjusting the posture of the first multifunctional nursing bed in the current state according to the current state of the first multifunctional nursing bed and the corresponding posture adjusting instruction:
a. if the posture adjusting instruction is a left turning instruction, the left turning instruction can be generated by pressing the left turning button, and the first multifunctional nursing bed adjusts the first multifunctional nursing bed according to the current turning state and left turning adjusting parameters carried by the left turning instruction; the left side turning adjusting parameters comprise an adjusting vector parameter V of the left side turning of the first multifunctional nursing beda0According to the vector parameter V of the current side turning state of the current first multifunctional nursing beda-Va0Automatically execute the left rollover action.
b. If the posture adjusting instruction is a right turning instruction, the right turning instruction can be generated by pressing the right turning button, and the first multifunctional nursing bed adjusts the first multifunctional nursing bed according to the current turning state and a right turning adjusting parameter carried by the right turning instruction; the right side turning adjusting parameters comprise a right side turning vector parameter V of the right side turning of the first multifunctional nursing bedb0According to the vector parameter V of the current side turning state of the current first multifunctional nursing bedb-Vb0Automatically executing the right rollover action.
c. If the posture adjusting instruction is a backboard starting instruction, the backboard starting instruction can be generated by pressing the backboard starting button, and the first multifunctional nursing bed adjusts the first multifunctional nursing bed according to the current backboard state and backboard starting adjusting parameters carried by the backboard starting instruction; the backboard elevation adjustment parameter comprises a backboard elevation vector parameter V of the first multifunctional nursing bedc0According to the current vector parameter V of the back plate state of the first multifunctional nursing bedc-Vc0Automatically executes the backplate start action.
d. If the posture adjusting instruction is a backboard descending instruction, the backboard descending instruction can be generated by pressing the back descending button, and the first multifunctional nursing bed adjusts the first multifunctional nursing bed according to the current backboard state and backboard descending adjusting parameters carried by the backboard descending instruction; the backboard lowering adjustment parameter comprises a backboard lowering vector parameter V of the first multifunctional nursing bedd0According to the current vector parameter V of the back plate state of the first multifunctional nursing bedd-Vd0Automatically executing the back plate lowering action.
e. If the posture adjusting instruction is a leg plate lifting instruction, the leg plate lifting instruction can be generated by pressing the leg lifting button, and the first multifunctional nursing bed adjusts the first multifunctional nursing bed according to the current leg plate state and leg plate lifting adjusting parameters carried by the leg plate lifting instruction; the leg plate lift adjustment parameter comprises a leg plate lift vector parameter V of the first multi-functional nursing bede0According to the current vector parameter V of the leg plate state of the first multifunctional nursing bede-Ve0Automatically performs the leg board lifting action.
f. If the posture adjusting instruction is a leg plate descending instruction, the leg plate descending instruction can be generated by pressing the leg falling button, and the first multifunctional nursing bed adjusts the first multifunctional nursing bed according to the current leg plate state and leg plate descending adjusting parameters carried by the leg plate descending instruction; the leg plate descending adjustment parameters comprise a leg plate descending vector parameter V of the first multifunctional nursing bedf0According to the current vector parameter V of the leg plate state of the first multifunctional nursing bedf-Vf0Automatically performs the leg plate lowering action.
g. If the posture adjusting instruction is a whole lifting instruction, the whole lifting instruction can be generated by pressing the whole lifting button, and the first multifunctional nursing bed adjusts the first multifunctional nursing bed according to the current horizontal height of the first multifunctional bed and the whole lifting adjusting parameter carried by the whole lifting instruction; the integral lift adjustment parameter comprises an integral lift vector parameter V of the first multi-function bedg0According to the current first multi-functionVector parameter V of horizontal height state of nursing bedg-Vg0Automatically performs the global lifting action.
h. If the posture adjusting instruction is an integral descending instruction, the integral descending instruction can be generated by pressing the integral descending button, and the first multifunctional nursing bed adjusts the first multifunctional nursing bed according to the current horizontal height of the first multifunctional bed and integral descending adjusting parameters carried by the integral descending instruction. The integral descent control parameter comprises an integral descent vector parameter V of the first multifunctional bedh0According to the vector parameter V of the horizontal height state of the current first multifunctional nursing bedh-Vh0Automatically performs the global lifting action.
i. If the instruction is opened or closed for the bedpan to the gesture adjustment instruction, the bedpan is opened or is closed the instruction and can be produced through pressing bedpan control button, after pressing bedpan control button, if the current state of bedpan is when the open mode, first multi-functional bed then according the bedpan control instruction is closed the bedpan, if the current state of bedpan is when the closed mode, first multi-functional bed then according the bedpan control instruction is opened the bedpan.
After one of the a-i adjustments is carried out, the first multifunctional bed stores the adjustment time, the adjustment parameters and the current posture into the cloud server in time.
In this embodiment, the cloud server analyzes second bedridden person data which is most matched with the first bedridden person by combining big data at intervals of a preset time, and then pushes reminding information to the first multifunctional nursing bed and/or the remote control terminal, and the first multifunctional nursing bed and/or the remote control terminal receives the pushed reminding information of the cloud server at intervals of the preset time so as to remind the first bedridden person whether to adjust the posture of the first multifunctional nursing bed. If the first bedridden person needs to adjust, the posture of the first multifunctional nursing bed is adjusted according to the automatic adjustment rule in the step S13.
According to the embodiment of the invention, two adjusting modes are provided for a user to select, so that the user can conveniently select an adjusting mode more suitable for the user, in the automatic adjusting mode, the posture of the multifunctional nursing bed is automatically and remotely adjusted on the basis of the body attributes of a bedridden person and the preference of a short period of time by using the automatic matching search function of the cloud server, so that more comfortable experience and feeling are provided for the bedridden person, and manual operation is reduced. The multifunctional nursing bed is upgraded in a personalized, networked and intelligent manner, and a new generation of Internet and multifunctional nursing rehabilitation bed rehabilitation nursing product is provided for the majority of users.
Referring to fig. 2, fig. 2 is a flowchart illustrating a remote control method for a multifunctional nursing bed according to a second embodiment of the present invention. The multifunctional nursing bed remote control method of the embodiment comprises the following steps:
s20, acquiring a request instruction for remotely adjusting the posture of a first multifunctional nursing bed, which is sent by a first bedridden person through the first multifunctional nursing bed;
in this step, the request instruction for remotely adjusting the posture of the first multifunctional nursing bed is a video communication request instruction. Particularly, set up a communication button or set up a disconnect-type controller that can adjust first multi-functional nursing bed in the head of a bed relevant position department of first multi-functional nursing bed, set up the communication button on the controller, first bed person needs to adjust during the gesture of first multi-functional nursing bed, press carry out video communication with remote control terminal behind the communication button, after remote control terminal user and first bed person establish video communication and are connected, can the gesture demand of first bed person to first multi-functional nursing bed of pronunciation determination to real-time manual regulation multi-functional nursing bed according to the demand.
S21, the remote control terminal receives an adjusting mode selection instruction of the first multifunctional nursing bed sent by a user, wherein the adjusting mode comprises an automatic adjusting mode and a manual adjusting mode;
when the remote control terminal user establishes video voice communication with a first person lying in bed, the APP interface displays the video interface of the first person lying in bed, the user can select the adjusting mode, for example, the user can select the automatic adjusting mode first, if the first person lying in bed is not satisfied with the automatic adjusting result, the user can enter the manual adjusting mode to manually adjust the first multifunctional nursing bed.
S22, judging whether the adjusting mode selected by the user is an automatic adjusting mode;
s23, if the mode is the automatic adjustment mode, matching all second bedridden data stored in the cloud server according to the body attributes of the first bedridden corresponding to the first multifunctional nursing bed, so as to match the second bedridden data with the highest body attribute similarity of the first bedridden;
s24, adjusting the posture of the first multifunctional nursing bed by taking the posture of the second multifunctional nursing bed corresponding to the second bedridden person as a standard; after the cloud server retrieves the second bedridden person data which is the most matched, the cloud server acquires the posture of a second multifunctional nursing bed which is closest to the current time node in the second bedridden person data which is the most matched as a standard, and automatically adjusts the posture of the first multifunctional nursing bed;
and S25, if the mode is the manual adjusting mode, adjusting the posture of the first multifunctional nursing bed according to the corresponding posture adjusting instruction issued by the user. The posture adjusting command comprises one or any combination of a left/right side turning command, a back plate lifting/lowering command, a leg plate lifting/lowering command, an overall lifting/lowering command and a bedpan control command of the first multifunctional nursing bed. The posture of the first multifunctional nursing bed can be adjusted in the following mode.
According to the embodiment of the invention, the intention of the bedridden person is determined through a video communication mode, so that a remote control terminal user can conveniently know and master the condition of the bedridden person in real time, the posture of the multifunctional nursing bed is adjusted, the remote control terminal user can conveniently monitor, the remote control terminal user and the bedridden person can both actively initiate video communication, the posture adjustment of the multifunctional nursing bed is actively requested, the bedridden persons such as incapacitated and semi-incapacitated patients, disabled persons and old people can be better served, and meanwhile, the labor of children and nursing personnel is relieved.
Referring to fig. 3, fig. 3 is a flowchart illustrating a searching and matching procedure in a third embodiment of the remote control method for a multifunctional nursing bed according to the present invention. The remote control method for a multifunctional nursing bed of the third embodiment is different from the first embodiment or the second embodiment in that all existing search matching methods capable of searching for matching similarity are adopted in the search matching steps of the first embodiment and the second embodiment, and in the third embodiment, the step of matching the body attributes of all second bed-ridden persons stored in a cloud server according to the body attribute of the first bed-ridden person corresponding to the first multifunctional nursing bed so as to match the second bed-ridden person data with the highest body attribute similarity with the first bed-ridden person includes the following steps:
s301, determining the weight coefficient of each body attribute relative to a target layer according to a pre-established hierarchical analysis model and an importance judgment matrix;
1. in the pre-established hierarchical model, a target layer of the total similarity of the body attribute of the second bedridden person and the body attribute of the first bedridden person and a criterion layer of the similarity of the individual attribute of the second bedridden person and the individual attribute of the first bedridden person are included; establishing an importance judgment matrix of each item of data of the criterion layer relative to the target layer according to the hierarchical model:
the importance of the individual examinations with respect to disabled bed-ridden persons (i.e. the importance of the criterion layer with respect to the target layer) is given by the skilled professional in the field, as follows (E1 for body condition, E2 for age, E3 for disease condition, E4 for BMI, E5 for blood pressure, E6 for heart rate):
| E1 | E2 | E3 | E4 | E5 | E6 | |
| E1 | 1 | e12 | e13 | e14 | e15 | e16 |
| E2 | e21 | 1 | e23 | e24 | e25 | e26 |
| E3 | e31 | e32 | 1 | e34 | e35 | e36 |
| E4 | e41 | e42 | e43 | 1 | e45 | e46 |
| E5 | e51 | e52 | e53 | e54 | 1 | e56 |
| E6 | e61 | e62 | e63 | e64 | e65 | 1 |
TABLE 1
Then the matrix is judged to be:
in the formula (1), each matrix point represents the importance degree proportion between the corresponding two single attributes; in general eijAnd ejiIn an inverse relationship, for example: e45 is the importance degree ratio of BMI and blood pressure, e45 is 1/4, then e54 is 4/1, representing the importance of BMI and blood pressure in searching similar bedridden people.
2. Determining the weight coefficient of each attribute of the criterion layer relative to the target layer (the physical attribute of the first bedridden person) by using the importance judgment matrix:
(1) geometric averaging is carried out on each row vector of the judgment matrix A by
1,2,.. m, where m is 6, yields:
Wiis a weight coefficient for each body attribute, normalized to a weight coefficient vector W, consisting of
1,2, m, m 6, yielding:
(3) calculating the maximum feature root of the decision matrix according to
To obtain lambdamaxThe values of (a) are used to perform a matrix consistency check. The step is used for checking and judging the accuracy of the expert scoring in the matrix, and if the accuracy is not accurate, the number of the scored expert persons can be increased for re-scoring.
S302, determining the similarity of the body states of the bedridden people under the single attribute: performing one-to-one matching calculation on the individual attributes under the body attributes of the first bedridden person and the individual attributes under the body attributes of all the second bedridden persons stored in the cloud server, so as to obtain similarity data with the highest similarity to the individual attributes of the first bedridden person;
each second bedridden data is composed of a series of diagnosis index data sequences, and as the meaning of each index, namely each data point, in the second bedridden data is different, the matching degree between the two bedridden data is more suitable to be judged by using the similarity of the values, the matching degree between the two bedridden data is judged by adopting a distance coefficient.
The distance coefficient mainly includes an absolute distance (i.e., hamming distance) and a euclidean distance, and the absolute distance more reflects the similarity of the values between two sequences, so the absolute distance is used here:
Adij＝|xki-xkj| (4)
since each index for comparison has different meanings and different dimensions in the similarity degree of the data of the bedridden people, the influence of the dimensions needs to be removed, and the absolute distance is improved by using the relative hamming distance:
wherein xkmaxData representing all bed-ridden persons xkMaximum value of index, xkminData representing all bed-ridden persons xkMinimum value of index, 0 is not more than Dij≤1。
The calculation formula for further obtaining the similarity between the ith bedridden person and the jth bedridden person is as follows:
in the formula (6), SijRepresenting the similarity, x, of the ith bedridden person in the cloud server and the first bedridden person corresponding to the first multifunctional nursing bed under the single attributekiX in data representing the ith patient in bedkValue of index, xkjX in data representing j bed-ridden personskValue of index, xkmaxData representing all bed-ridden persons xkMaximum value of index, xkminData representing all bed-ridden persons xkMinimum value of index, 0 is not more than DijLess than or equal to 1, namely S is less than or equal to 0ijLess than or equal to 1.
S303, determining the comprehensive similarity under all body attributes: and multiplying each unidirectional attribute in a group of second bedridden body attributes with highest similarity with the corresponding weight coefficient to obtain a group of second bedridden body attributes with highest comprehensive similarity, and regarding the body attributes of the second bedridden as a group of data with highest similarity with the first bedridden.
The similarity of the data of the bedridden people in the cloud server and the data of the new bedridden people to be searched in each physical attribute is calculated by the formula (6), namely the similarity of the data of the second bedridden people and the data of the first bedridden people in the database of the bedridden people in the aspects of physical condition, age, illness, BMI, blood pressure and heart rate is determined:
obtaining a comprehensive ranking matrix according to equations (7) to (12):
multiplying the formula (13) by the weight vector w to obtain the comprehensive similarity SS, and matching a group of bedridden data with the highest similarity:
in the expressions (7) to (14), n is the number of second bedridden person data, susual-statusFor one's bodyBody condition attribute, snlIs an age attribute, shbAs a property of the diseased condition, scagBMI body mass attribute, sctIs the blood pressure attribute, scagIs a heart rate attribute.
SS calculated by the above1,SS2,...,SSnAnd sequencing to obtain the similarity of the best matched conditions of the bedridden people.
By adopting the searching and matching mode, the data of the second bedridden person with the highest similarity to the first bedridden person can be matched more accurately and more quickly.
Referring to fig. 4, fig. 4 is a block diagram of an embodiment of a remote control device of a multifunctional nursing bed according to the present invention. The multifunctional nursing remote control device of the embodiment comprises:
the adjusting mode selection instruction receiving module is used for receiving an adjusting mode selection instruction of the first multifunctional nursing bed sent by a user, and the adjusting mode comprises an automatic adjusting mode and a manual adjusting mode;
the judging module is used for judging whether the adjusting mode selected by the user is an automatic adjusting mode;
the matching search module is used for matching the body attributes of all second bedridden people stored in the cloud server according to the body attributes of the first bedridden person corresponding to the first multifunctional nursing bed when the mode selected by the user is the automatic adjustment mode, so as to match second bedridden person data with the highest body attribute similarity of the first bedridden person, wherein the body attributes comprise one or any combination of body conditions, age, BMI, diseased conditions, blood pressure and heart rate; the second bedridden data comprises body attributes and corresponding postures of the second multifunctional nursing bed;
the automatic adjusting module is used for adjusting the posture of the first multifunctional nursing bed by taking the posture of the second multifunctional nursing bed corresponding to the second bedridden person as a standard;
and the manual adjusting module is used for adjusting the posture of the first multifunctional nursing bed according to the corresponding posture adjusting instruction issued by the user when the mode selected by the user is the manual adjusting mode.
The functions and principles of the adjustment mode selection instruction receiving module, the judging module, the matching search module, the automatic adjustment module and the manual adjustment module are as described in the above method embodiments 1 to 3, and are not described in detail herein.
Referring to fig. 5, fig. 5 is a block diagram of a multifunctional nursing bed-based remote monitoring system according to the present invention, which includes a multifunctional nursing bed with a video communication function, a cloud server, and a remote control terminal.
The remote control terminal is used for inputting body attribute information of the bedridden person to the cloud server; the remote control terminal is also used for being in communication connection with the multifunctional nursing bed, so that a remote control terminal user can be in video communication with a bedridden person on the multifunctional nursing bed; the multifunctional nursing bed is also used for entering an automatic adjusting mode or a manual adjusting mode according to an adjusting mode selection instruction issued by a user, feeding back to the cloud server when the multifunctional nursing bed is in the automatic adjusting mode, and adjusting the posture of the first multifunctional nursing bed according to a corresponding posture adjusting instruction if the multifunctional nursing bed is in the manual adjusting mode;
the cloud server is used for storing body attribute data of the bedridden person and corresponding adjustment data of the multifunctional nursing bed; the multifunctional nursing bed is also used for searching and matching the body attribute of the bedridden person with the highest comprehensive similarity according to the remote control terminal or the automatic adjusting mode of the feedback of the multifunctional nursing bed to be adjusted (namely the first multifunctional nursing bed), and taking the posture of the multifunctional nursing bed (namely the second multifunctional nursing bed) corresponding to the data of the bedridden person with the highest comprehensive similarity as a standard so as to adjust the current posture of the multifunctional nursing bed to be adjusted;
the multifunctional nursing bed is used for carrying out video communication with the remote intelligent control terminal according to the request of a patient lying in bed and is also used for adjusting the posture of the multifunctional nursing bed according to the adjusting instruction of the cloud server or the remote control terminal.
In this embodiment, the cloud server is further configured to analyze second bedridden person data that is most matched with the first bedridden person in combination with big data every other predetermined time, and then push the reminding information to the first multifunctional nursing bed and/or the remote control terminal, where the first multifunctional nursing bed and/or the remote control terminal receives the pushed reminding information of the cloud server every other predetermined time, so as to remind the first bedridden person whether to adjust the posture of the first multifunctional nursing bed. If the first bedridden person needs to adjust, the posture of the first multifunctional nursing bed is adjusted according to the automatic adjustment rule in the step S13.
In this embodiment, the multifunctional nursing bed comprises a bed body and a control device for controlling the multifunctional nursing bed in a close range, wherein the control device is provided with a camera, a display screen and a plurality of multifunctional bed control adjusting buttons, and a main control module and a communication module are arranged in the multifunctional nursing bed and are used for being in communication connection with a cloud server and/or a remote control terminal, receiving an attitude adjusting instruction sent by the cloud server and/or the remote control terminal and performing video communication with the remote control terminal; and after receiving the posture adjusting instruction sent by the cloud server and/or the remote control terminal, the control device controls the multifunctional bed body to perform corresponding posture adjustment. As a preferable scheme, a temperature/humidity sensor is further arranged on the multifunctional nursing bed, and is electrically connected with the main control module, and is used for transmitting the temperature and the humidity of the area to the remote control terminal in real time, so that a caregiver can better master the environmental condition of a bedridden person.
In other embodiments, the communication module, the main control module, the camera, the display screen, the adjusting button and other components of the multifunctional bed can be directly disposed at corresponding positions of the multifunctional bed, and integrated with the multifunctional bed.
The remote monitoring system based on the multifunctional nursing bed adopts visual remote control, takes the multifunctional nursing bed as a base point, adopts auxiliary video information, develops the remote nursing monitoring system and realizes the function of remote rehabilitation nursing of the part of a person in bed to be monitored. It can be accessed remotely by a caregiver to enable basic remote care services for the patient. The multifunctional nursing bed can better serve disabled and semi-disabled patients, disabled people, old people and other bedridden people, and meanwhile, the labor of children or nursing people is relieved. The intelligent control system realizes the comfort of the bedridden person, has huge market prospect and great significance. The remote monitoring system provides a set of beds which can watch and control the bedridden people at any time and any place by using the Internet remote visual control technology, so that the extension of bedside service to space is realized, the improvement of the living standard of people is reduced, and the labor intensity of family members and nursing staff is reduced; on the other hand, in order to improve the comfort level of disabled people and the time and operation of control personnel, the statistics of the comfort level states of multiple similar bedridden people and the individual preference state of the bedridden people for a period of time is matched through a big data analysis technology, and the intelligent control function of the comfort level is improved.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (9)
1. A remote control method of a multifunctional nursing bed is used for remotely adjusting the posture of the multifunctional nursing bed and comprises the following steps:
receiving an adjusting mode selection instruction of a first multifunctional nursing bed issued by a user, wherein the adjusting mode comprises an automatic adjusting mode and a manual adjusting mode;
judging whether the adjusting mode selected by the user is an automatic adjusting mode;
if the first multifunctional nursing bed is in the automatic adjustment mode, matching all second bedridden data stored in a cloud server according to the body attributes of the first bedridden corresponding to the first multifunctional nursing bed, so as to match the second bedridden data with the highest body attribute similarity with the first bedridden, wherein the method comprises the following steps: determining the weight coefficient of each physical attribute; determining similarity under single item attributes: performing one-to-one matching calculation on the individual attributes under the body attributes of the first bedridden person and the individual attributes under the body attributes of all the second bedridden persons stored in the cloud server, so as to obtain similarity data with the highest similarity to the individual attributes of the first bedridden person; determining the integrated similarity under all physical attributes: multiplying each single attribute in a group of second bedridden body attributes with highest similarity with the corresponding weight coefficient to obtain a group of second bedridden body attributes with highest comprehensive similarity, and regarding the body attributes of the second bedridden as a group of data with highest similarity with the first bedridden; wherein the physical attribute comprises one or any combination of physical condition, age, BMI, diseased condition, blood pressure, heart rate; the second bedridden data comprises corresponding body attributes and corresponding posture data of the second multifunctional nursing bed; the posture of the first multifunctional nursing bed is adjusted by taking the posture data of the second multifunctional nursing bed corresponding to the second bedridden person data as a standard;
and if the first multifunctional nursing bed is in the manual adjusting mode, adjusting the posture of the first multifunctional nursing bed according to a corresponding posture adjusting instruction issued by the user.
2. The multifunctional nursing bed remote control method as claimed in claim 1, wherein: the posture adjusting command comprises one or any combination of a left/right side turning command, a back plate lifting/lowering command, a leg plate lifting/lowering command, an overall lifting/lowering command and a bedpan control command of the first multifunctional nursing bed.
3. The multifunctional nursing bed remote control method as claimed in claim 1, wherein:
in the step of receiving an adjustment mode selection instruction of a first multifunctional nursing bed issued by a user, receiving the adjustment mode selection instruction of the first multifunctional nursing bed issued by the user through a remote control terminal;
in the step of judging whether the adjusting mode selected by the user is the automatic adjusting mode, judging whether the adjusting mode selected by the user is the automatic adjusting mode through the remote control terminal;
if the first bedridden person is in the automatic adjustment mode, the remote control terminal matches the body attributes of the first bedridden person with all second bedridden person data stored in the cloud server;
in the step of adjusting the posture of the first multifunctional nursing bed by taking the posture data of the second multifunctional nursing bed corresponding to the second bedridden person data as a standard, the posture of the first multifunctional nursing bed is automatically adjusted through the cloud server.
4. The multifunctional nursing bed remote control method as claimed in claim 3, further comprising the following steps before the step of receiving the adjustment mode selection command of the first multifunctional nursing bed issued by the user through the remote control terminal:
the method comprises the steps of obtaining a request instruction sent by a first bedridden person through a first multifunctional nursing bed for remotely adjusting the posture of the first multifunctional nursing bed.
5. The method for remotely controlling a multifunctional nursing bed according to claim 2, wherein in the step of adjusting the posture of the first multifunctional nursing bed according to the corresponding posture adjusting instruction issued by the user, the method specifically comprises the following steps:
analyzing the attitude adjusting instruction to obtain the category of the attitude adjusting instruction and the adjusting parameters carried by the attitude adjusting instruction;
acquiring a current posture of the first multifunctional nursing bed, wherein the current posture comprises a left/right side turning state, a back plate lifting/lowering state, a leg plate lifting/lowering state, an overall lifting/lowering state and a bedpan opening/closing state of the first multifunctional nursing bed; if the posture adjusting instruction is a left turning instruction, adjusting the first multifunctional nursing bed according to the current turning state and left turning adjusting parameters carried by the left turning instruction;
if the posture adjusting instruction is a right turning instruction, adjusting a first multifunctional nursing bed according to the current turning state and a right turning adjusting parameter carried by the right turning instruction;
if the posture adjusting instruction is a backboard starting instruction, adjusting a first multifunctional nursing bed according to the current backboard state and a backboard starting adjusting parameter carried by the backboard starting instruction;
if the posture adjusting instruction is a backboard descending instruction, adjusting a first multifunctional nursing bed according to the current backboard state and a backboard descending adjusting parameter carried by the backboard descending instruction;
if the posture adjusting instruction is a leg plate lifting instruction, adjusting a first multifunctional nursing bed according to the current leg plate state and leg plate lifting adjusting parameters carried by the leg plate lifting instruction;
if the posture adjusting instruction is a leg plate descending instruction, adjusting a first multifunctional nursing bed according to the current leg plate state and leg plate descending adjusting parameters carried by the leg plate descending instruction;
if the posture adjusting instruction is an integral lifting instruction, adjusting the first multifunctional nursing bed according to the current horizontal height of the first multifunctional bed and integral lifting adjusting parameters carried by the integral lifting instruction;
and if the posture adjusting instruction is an integral descending instruction, adjusting the first multifunctional nursing bed according to the current horizontal height of the first multifunctional bed and integral descending adjusting parameters carried by the integral descending instruction.
6. The multifunctional nursing bed remote control method as claimed in claim 1, wherein in the step of determining the weight coefficient of each physical attribute, the weight coefficient of each physical attribute is determined according to a pre-established hierarchical model and an importance judgment matrix;
in the pre-established hierarchical model, a target layer of the total similarity of the body attribute of the second bedridden person and the body attribute of the first bedridden person and a criterion layer of the similarity of the individual attribute of the second bedridden person and the individual attribute of the first bedridden person are included; establishing an importance judgment matrix of each item of data of the criterion layer relative to the target layer according to the hierarchical model:
in the formula (1), each matrix point represents the importance degree proportion between the corresponding two single attributes;
determining the weight coefficient of each attribute relative to the body attribute of the first bedridden person corresponding to the first multifunctional nursing bed according to the importance judgment matrix:
geometric averaging is carried out on each row vector of the judgment matrix A by
Where m is 6, we obtain:
Wiis a weight coefficient for each body attribute, normalized to a weight coefficient vector W, consisting of
m is 6, yielding:
7. the multifunctional nursing bed remote control method as claimed in claim 6, wherein in the step of determining the similarity of the physical states of the bedridden people under the single attribute, the matching calculation is specifically performed by the following formula:
in the formula (6), SijRepresenting the similarity of the body states of the ith bedridden person and the jth bedridden person in the cloud server under the single attribute, xkiX in data representing the ith patient in bedkValue of index, xkjX in data representing j bed-ridden personskValue of index, xkmaxData representing all bed-ridden persons xkMaximum value of index, xkminData representing all bed-ridden persons xkMinimum value of index, 0 is not more than Dij≤1。
8. The multifunctional nursing bed remote control method as claimed in claim 7, wherein in the step of determining the integrated similarity under all physical attributes, the method specifically comprises the steps of:
according to the similarity of the data of the bedridden people in the cloud server and the data of the first bedridden people in each physical attribute calculated by the formula (6), a comprehensive ranking value matrix is obtained:
in the formula (13), susual-statusAs a physical condition attribute, snlIs an age attribute, shbAs a property of the diseased condition, scagBMI body mass attribute, sctIs the blood pressure attribute, scagIs a heart rate attribute;
and (3) multiplying the formula (13) by the weight vector w to obtain the comprehensive similarity, so as to match a group of data with the highest similarity:
9. a multifunctional nursing bed-based remote monitoring system, which adopts the multifunctional nursing bed remote control method as claimed in any one of claims 1 to 8, and comprises a multifunctional nursing bed with a video communication function, a cloud server and a remote control terminal:
the remote control terminal is used for inputting body attribute information of the bedridden person to the cloud server; the remote control terminal is also used for being in communication connection with the multifunctional nursing bed, so that a remote control terminal user can be in video communication with a bedridden person on the multifunctional nursing bed; the multifunctional nursing bed is also used for entering an automatic adjusting mode or a manual adjusting mode according to an adjusting mode selection instruction issued by a user, feeding back to the cloud server when the multifunctional nursing bed is in the automatic adjusting mode, and adjusting the posture of the first multifunctional nursing bed according to a corresponding posture adjusting instruction if the multifunctional nursing bed is in the manual adjusting mode;
the cloud server is used for storing body attribute data of the bedridden person and corresponding adjustment data of the multifunctional nursing bed; the multifunctional nursing bed is also used for searching and matching the body attribute of the bedridden with the highest comprehensive similarity according to the automatic adjusting mode fed back by the remote control terminal, and taking the posture of the multifunctional nursing bed corresponding to the body attribute of the bedridden with the highest comprehensive similarity as a standard to adjust the current posture of the multifunctional nursing bed needing to be adjusted;
the multifunctional nursing bed is used for carrying out video communication with the remote intelligent control terminal according to the request of a patient lying in bed and is also used for adjusting the posture of the multifunctional nursing bed according to the adjusting instruction of the cloud server or the remote control terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710015017.8A CN106773708B (en) | 2017-01-09 | 2017-01-09 | Multifunctional nursing bed remote control method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710015017.8A CN106773708B (en) | 2017-01-09 | 2017-01-09 | Multifunctional nursing bed remote control method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106773708A CN106773708A (en) | 2017-05-31 |
| CN106773708B true CN106773708B (en) | 2020-06-23 |
Family
ID=58948714
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710015017.8A Active CN106773708B (en) | 2017-01-09 | 2017-01-09 | Multifunctional nursing bed remote control method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106773708B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109613836A (en) * | 2018-12-19 | 2019-04-12 | 东莞市慕思寝室用品有限公司 | Beddo method of toch control, device, equipment and storage medium |
| CN110811650B (en) * | 2019-10-29 | 2022-05-20 | 广东工业大学 | Urination prediction method and device |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102110190A (en) * | 2009-12-23 | 2011-06-29 | 迈瑞Ds美国有限责任公司 | Systems and methods for synchronizing data of a patient monitor and a portable sensor module |
| CN102772292A (en) * | 2012-07-02 | 2012-11-14 | 温州国杰健身器材有限公司 | Intelligent massage chair |
| CN103777615A (en) * | 2014-01-28 | 2014-05-07 | 宇龙计算机通信科技(深圳)有限公司 | Control device and method of intelligent home appliance |
| CN105030458A (en) * | 2015-06-18 | 2015-11-11 | 杨胜林 | Intelligent electric control system for nursing bed |
| CN105105949A (en) * | 2015-09-29 | 2015-12-02 | 上海伟赛智能科技有限公司 | Intelligent nursing bed and application method thereof |
| CN105877712A (en) * | 2016-06-19 | 2016-08-24 | 河北工业大学 | Multifunctional intelligent bed system |
| CN205626328U (en) * | 2016-03-12 | 2016-10-12 | 上海大学 | Multifunctional nursing bed for old people |
| CN205626336U (en) * | 2016-03-18 | 2016-10-12 | 青岛锐海柏信息技术有限公司 | Multifunctional intelligent caring bed |
-
2017
- 2017-01-09 CN CN201710015017.8A patent/CN106773708B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102110190A (en) * | 2009-12-23 | 2011-06-29 | 迈瑞Ds美国有限责任公司 | Systems and methods for synchronizing data of a patient monitor and a portable sensor module |
| CN102772292A (en) * | 2012-07-02 | 2012-11-14 | 温州国杰健身器材有限公司 | Intelligent massage chair |
| CN103777615A (en) * | 2014-01-28 | 2014-05-07 | 宇龙计算机通信科技(深圳)有限公司 | Control device and method of intelligent home appliance |
| CN105030458A (en) * | 2015-06-18 | 2015-11-11 | 杨胜林 | Intelligent electric control system for nursing bed |
| CN105105949A (en) * | 2015-09-29 | 2015-12-02 | 上海伟赛智能科技有限公司 | Intelligent nursing bed and application method thereof |
| CN205626328U (en) * | 2016-03-12 | 2016-10-12 | 上海大学 | Multifunctional nursing bed for old people |
| CN205626336U (en) * | 2016-03-18 | 2016-10-12 | 青岛锐海柏信息技术有限公司 | Multifunctional intelligent caring bed |
| CN105877712A (en) * | 2016-06-19 | 2016-08-24 | 河北工业大学 | Multifunctional intelligent bed system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106773708A (en) | 2017-05-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11923079B1 (en) | Creating and testing digital bio-markers based on genetic and phenotypic data for therapeutic interventions and clinical trials | |
| Chatrati et al. | Smart home health monitoring system for predicting type 2 diabetes and hypertension | |
| KR102220229B1 (en) | Improving biometric performance in the presence of noise | |
| US20230094344A1 (en) | Next best action based on mental predictive model of patient mental health | |
| CN105935289B (en) | Wearable electronic device and control method thereof | |
| US10832816B2 (en) | Personalized management and monitoring of medical conditions | |
| KR101107062B1 (en) | System for monitoring and managing body weight and other physiological conditions including iterative and personalized planning, intervention and reporting capability | |
| Baek et al. | Hybrid clustering based health decision-making for improving dietary habits | |
| WO2021247922A1 (en) | Predictive guidance systems for personalized health and self-care, and associated methods | |
| US20230037749A1 (en) | Method and system for detecting mood | |
| US20210082056A1 (en) | Information processing apparatus and information processing method | |
| CN106773708B (en) | Multifunctional nursing bed remote control method and system | |
| JP5472922B2 (en) | Lifestyle improvement support system and lifestyle improvement support method | |
| JP6689735B2 (en) | Care support system, control method and program | |
| US20210202078A1 (en) | Patient-Observer Monitoring | |
| US20220192556A1 (en) | Predictive, diagnostic and therapeutic applications of wearables for mental health | |
| WO2020211592A1 (en) | Diabetes risk early-warning system | |
| CN116196196A (en) | Massage armchair control method, system and computer readable storage medium | |
| WO2021084976A1 (en) | Information processing device, assistance method, and non-transitory computer-readable medium having program stored therein | |
| Anisimov et al. | Intelligent remote health monitoring system for patients with chronic diseases | |
| JP2021163006A (en) | Sleep health level determination program | |
| CN106919775B (en) | A kind of processing method and processing device of sleep info | |
| WO2023074283A1 (en) | Health state determination method and health state determination system | |
| EP3588512A1 (en) | A computer-implemented method, an apparatus and a computer program product for assessing the health of a subject | |
| US11967432B2 (en) | Method and system for remotely monitoring the physical and psychological state of an application user using altitude and/or motion data and one or more machine learning models |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20171215 Address after: 518000 Guangdong city of Shenzhen province Qianhai Shenzhen Hong Kong cooperation zone before Bay Road No. 1 building 201 room A Applicant after: Shenzhen Pro News Network Technology Co.,Ltd. Address before: 518055 Guangdong city in Shenzhen Province, Nanshan District City Xili Silicon Valley University Park Room 10291301 Applicant before: SHENZHEN RELATIVES AND FRIENDS TECHNOLOGY CO.,LTD. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20230302 Address after: 518051 207, Tsinghua Information Port Scientific Research Building, No. 13, Langshan Road, Songpingshan Community, Xili Street, Nanshan District, Shenzhen, Guangdong Province Patentee after: Shenzhen Jieyi Technology Co.,Ltd. Address before: 518000 Room 201, building A, 1 front Bay Road, Shenzhen Qianhai cooperation zone, Shenzhen, Guangdong Patentee before: Shenzhen Pro News Network Technology Co.,Ltd. |