CN105286791A

CN105286791A - Health information acquisition method and apparatus

Info

Publication number: CN105286791A
Application number: CN201510640751.4A
Authority: CN
Inventors: 王阳; 傅强; 侯恩星
Original assignee: Xiaomi Inc
Current assignee: Beijing Xiaomi Technology Co Ltd; Xiaomi Inc
Priority date: 2015-09-30
Filing date: 2015-09-30
Publication date: 2016-02-03

Abstract

The invention relates to a health information acquisition method and a health information acquisition apparatus, and belongs to the field of smart home. The method comprises the following steps: receiving parameter information transmitted by an intelligent closestool; judging whether the user physiological information is abnormal or not; determining the health information of the user based on the user physiological information when the user physiological information is abnormal; and on the basis of the identification of the target intelligent wearable equipment, transmitting the health information to a user terminal which is bound with the target intelligent wearable device, wherein the parameter information carries user physiological information and the identification of a target intelligent wearable device, the user physiological information is the physiological information of a user making use of the intelligent closestool at present, and the target intelligent wearable device is the intelligent device worn in the user at present. According to the method and the apparatus disclosed by the invention, the health information of the user is determined based on the user physiological information of the user currently using the intelligent closestool and the health information is transmitted to the user terminal, so that the user can timely master current physical health condition thereof.

Description

Health and fitness information acquisition methods and device

Technical field

The disclosure relates to Smart Home field, particularly a kind of health and fitness information acquisition methods and device.

Background technology

Along with user is to the raising of quality of the life attention degree, intelligent closestool is popularized gradually, thus provides the experience that better goes to toilet for user, as provided that ring is incubated, warm braw is dried to user, the quiet function such as to take a seat, more comfortable and convenient when user is gone to toilet.But along with user more and more focuses on self health care, for utilizing, the demand of intelligent closestool monitoring physical condition is also increasing, therefore, needs a kind of method being obtained health and fitness information by intelligent closestool badly.

Summary of the invention

For overcoming Problems existing in correlation technique, the disclosure provides a kind of health and fitness information acquisition methods and device.

According to the first aspect of disclosure embodiment, provide a kind of health and fitness information acquisition methods, described method comprises:

Receive the parameter information that intelligent closestool sends, user's physiologic information and Intelligent target wearable device mark is carried in described parameter information, described user's physiologic information is the physiologic information of the user using described intelligent closestool, and Intelligent target wearable device is current the dressed smart machine of described user;

Judge that whether described user's physiologic information is abnormal;

When described user's physiologic information is abnormal, based on described user's physiologic information, determine the health and fitness information of described user;

Based on described Intelligent target wearable device mark, described health and fitness information is sent to the user terminal bound with described Intelligent target wearable device.

In conjunction with first aspect, in the first possible implementation of above-mentioned first aspect, describedly judge that described user's physiologic information is whether abnormal, comprising:

When described user's physiologic information comprises multiple Excreta component content, obtain the normal level range that described multiple Excreta component content is corresponding respectively;

When described multiple Excreta component content is all positioned within each self-corresponding normal level range, determine that described user's physiologic information is normal, otherwise, determine that described user's physiologic information is abnormal.

In conjunction with first aspect, in the implementation that the second of above-mentioned first aspect is possible, describedly judge that described user's physiologic information is whether abnormal, comprising:

When described user's physiologic information comprises multiple physiological parameter, obtain the normal parameters that described multiple physiological parameter is corresponding respectively;

When described multiple physiological parameter is all positioned within each self-corresponding normal parameters, determine that described user's physiologic information is normal, otherwise, determine that described user's physiologic information is abnormal.

In conjunction with first aspect, in the third possible implementation of above-mentioned first aspect, described based on described Intelligent target wearable device mark, described health and fitness information is sent to the user terminal bound with described Intelligent target wearable device, comprising:

Based on described Intelligent target wearable device mark, from the corresponding relation between the Intelligent worn device mark stored and user terminal identification, obtain corresponding user terminal identification;

Based on described user terminal identification, described health and fitness information is sent to corresponding user terminal.

In conjunction with the third possible implementation of first aspect, in the 4th kind of possible implementation of above-mentioned first aspect, described based on described user terminal identification, described health and fitness information is sent to corresponding user terminal, comprising:

Based on described health and fitness information, from the corresponding relation between the health and fitness information stored and advisory information, obtain corresponding advisory information;

Based on described user terminal identification, described health and fitness information and described advisory information are sent to corresponding user terminal.

According to the second aspect of disclosure embodiment, provide a kind of health and fitness information acquisition methods, described method comprises:

Detect the pressure acted on intelligent closestool, obtain pressure data;

When described pressure data is more than or equal to pressure threshold, gather the user's physiologic information using the user of described intelligent closestool;

Determine that Intelligent target wearable device identifies, Intelligent target wearable device is current the dressed smart machine of described user;

Parameter information is sent to server, described user's physiologic information and described Intelligent target wearable device mark is carried in described parameter information, described server is made to determine the health and fitness information of described user based on described user's physiologic information, and based on described Intelligent target wearable device mark, described health and fitness information is sent to the user terminal bound with described Intelligent target wearable device.

In conjunction with second aspect, in the first possible implementation of above-mentioned second aspect, described collection is using user's physiologic information of the user of described intelligent closestool, comprising:

Component content detection is carried out to the Excreta using the user of described intelligent closestool to drain, obtains multiple Excreta component content;

Described multiple Excreta component content is defined as user's physiologic information of described user.

In conjunction with second aspect, in the implementation that the second of above-mentioned second aspect is possible, described collection is using user's physiologic information of the user of described intelligent closestool, comprising:

To using the user of described intelligent closestool to carry out the detection of physiology project, obtain multiple physiological parameter;

Described multiple physiological parameter is defined as user's physiologic information of described user.

In conjunction with second aspect, in the third possible implementation of above-mentioned second aspect, describedly determine that Intelligent target wearable device identifies, comprising:

Receive the signal of communication of at least one Intelligent worn device broadcast, in described signal of communication, carry Intelligent worn device mark;

Based at least one signal of communication received, determine that described Intelligent target wearable device identifies.

In conjunction with the third possible implementation of second aspect, in the 4th kind of possible implementation of above-mentioned second aspect, described at least one signal of communication based on receiving, determine that described Intelligent target wearable device identifies, comprising:

Determine the signal intensity of at least one signal of communication described;

Based on the signal intensity of at least one signal of communication described, from least one signal of communication described, select the signal of communication that signal intensity is the strongest;

The Intelligent worn device of carrying in the signal of communication of selection mark is defined as described Intelligent target wearable device mark.

According to the third aspect of disclosure embodiment, provide a kind of health and fitness information acquisition device, described device comprises:

Receiver module, for receiving the parameter information that intelligent closestool sends, user's physiologic information and Intelligent target wearable device mark is carried in described parameter information, described user's physiologic information is the physiologic information of the user using described intelligent closestool, and Intelligent target wearable device is current the dressed smart machine of described user;

Judge module, for judging that whether described user's physiologic information is abnormal;

Determination module, for when described user's physiologic information is abnormal, based on described user's physiologic information, determines the health and fitness information of described user;

Sending module, for based on described Intelligent target wearable device mark, sends to the user terminal bound with described Intelligent target wearable device by described health and fitness information.

In conjunction with the third aspect, in the first possible implementation of the above-mentioned third aspect, described judge module comprises:

First acquiring unit, for when described user's physiologic information comprises multiple Excreta component content, obtains the normal level range that described multiple Excreta component content is corresponding respectively;

First determining unit, for when described multiple Excreta component content is all positioned within each self-corresponding normal level range, determines that described user's physiologic information is normal, otherwise, determine that described user's physiologic information is abnormal.

In conjunction with the third aspect, in the implementation that the second of the above-mentioned third aspect is possible, described judge module comprises:

Second acquisition unit, for when described user's physiologic information comprises multiple physiological parameter, obtains the normal parameters that described multiple physiological parameter is corresponding respectively;

Second determining unit, for when described multiple physiological parameter is all positioned within each self-corresponding normal parameters, determines that described user's physiologic information is normal, otherwise, determine that described user's physiologic information is abnormal.

In conjunction with the third aspect, in the third possible implementation of the above-mentioned third aspect, described sending module comprises:

3rd acquiring unit, for based on described Intelligent target wearable device mark, from the corresponding relation between the Intelligent worn device mark stored and user terminal identification, obtains corresponding user terminal identification;

Transmitting element, for based on described user terminal identification, sends to corresponding user terminal by described health and fitness information.

In conjunction with the third possible implementation of the third aspect, in the 4th kind of possible implementation of the above-mentioned third aspect, described transmitting element comprises:

Obtain subelement, for based on described health and fitness information, from the corresponding relation between the health and fitness information stored and advisory information, obtain corresponding advisory information;

Send subelement, for based on described user terminal identification, described health and fitness information and described advisory information are sent to corresponding user terminal.

According to the fourth aspect of disclosure embodiment, provide a kind of health and fitness information acquisition device, described device comprises:

Detection module, for detecting the pressure acted on intelligent closestool, obtains pressure data;

Acquisition module, for when described pressure data is more than or equal to pressure threshold, gathers the user's physiologic information using the user of described intelligent closestool;

Determination module, for determining that Intelligent target wearable device identifies, Intelligent target wearable device is current the dressed smart machine of described user;

Sending module, for sending parameter information to server, described user's physiologic information and described Intelligent target wearable device mark is carried in described parameter information, described server is made to determine the health and fitness information of described user based on described user's physiologic information, and based on described Intelligent target wearable device mark, described health and fitness information is sent to the user terminal bound with described Intelligent target wearable device.

In conjunction with fourth aspect, in the first possible implementation of above-mentioned fourth aspect, described acquisition module comprises:

First detecting unit, for when described pressure data is more than or equal to pressure threshold, carries out component content detection to the Excreta using the user of described intelligent closestool to drain, obtains multiple Excreta component content;

First determining unit, for being defined as user's physiologic information of described user by described multiple Excreta component content.

In conjunction with fourth aspect, in the implementation that the second of above-mentioned fourth aspect is possible, described acquisition module comprises:

Second detecting unit, for when described pressure data is more than or equal to pressure threshold, to using the user of described intelligent closestool to carry out the detection of physiology project, obtains multiple physiological parameter;

Second determining unit, for being defined as user's physiologic information of described user by described multiple physiological parameter.

In conjunction with fourth aspect, in the third possible implementation of above-mentioned fourth aspect, described determination module comprises:

Receiving element, for receiving the signal of communication of at least one Intelligent worn device broadcast, carries Intelligent worn device mark in described signal of communication;

Determining unit, for based at least one signal of communication received, determines that described Intelligent target wearable device identifies.

In conjunction with the third possible implementation of fourth aspect, in the 4th kind of possible implementation of above-mentioned fourth aspect, described determining unit comprises:

First determines subelement, for determining the signal intensity of at least one signal of communication described;

Chooser unit, for the signal intensity based at least one signal of communication described, from least one signal of communication described, selects the signal of communication that signal intensity is the strongest;

Second determines subelement, for the Intelligent worn device of carrying in the signal of communication of selection mark is defined as described Intelligent target wearable device mark.

According to the 5th aspect of disclosure embodiment, provide a kind of health and fitness information acquisition device, described device comprises:

Processor;

For the memorizer of storage of processor executable instruction;

Wherein, described processor is configured to:

Judge that whether described user's physiologic information is abnormal;

According to the 6th aspect of disclosure embodiment, provide a kind of health and fitness information acquisition device, described device comprises:

Processor;

For the memorizer of storage of processor executable instruction;

Wherein, described processor is configured to:

Detect the pressure acted on intelligent closestool, obtain pressure data;

In the disclosed embodiments, server receives the parameter information that intelligent closestool sends, user's physiologic information and Intelligent target wearable device mark is carried in this parameter information, and then whether server can judge extremely to this user's physiologic information, when this user's physiologic information is abnormal, this server is based on this user's physiologic information, determine the health and fitness information of the user using intelligent closestool, and identify based on this Intelligent target wearable device, this health and fitness information is sent to the user terminal bound with Intelligent target wearable device, thus user corresponding to this user terminal can be made to learn the physical condition that oneself is current in time.

Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.

Accompanying drawing explanation

Accompanying drawing to be herein merged in description and to form the part of this description, shows embodiment according to the invention, and is used from description one and explains principle of the present invention.

Fig. 1 is a kind of schematic diagram remaining the implementation environment involved by defining method using duration according to an exemplary embodiment.

Fig. 2 is the flow chart of a kind of health and fitness information acquisition methods according to an exemplary embodiment.

Fig. 3 is the flow chart of the another kind of health and fitness information acquisition methods according to an exemplary embodiment.

Fig. 4 is the flow chart of another the health and fitness information acquisition methods according to an exemplary embodiment.

Fig. 5 is the block diagram of a kind of health and fitness information acquisition device according to an exemplary embodiment.

Fig. 6 is the block diagram of a kind of judge module according to an exemplary embodiment.

Fig. 7 is the block diagram of the another kind of judge module according to an exemplary embodiment.

Fig. 8 is the block diagram of a kind of sending module according to an exemplary embodiment.

Fig. 9 is the block diagram of a kind of transmitting element according to an exemplary embodiment.

Figure 10 is the block diagram of the another kind of health and fitness information acquisition device according to an exemplary embodiment.

Figure 11 is the block diagram of a kind of acquisition module according to an exemplary embodiment.

Figure 12 is the block diagram of the another kind of acquisition module according to an exemplary embodiment.

Figure 13 is the block diagram of a kind of determination module according to an exemplary embodiment.

Figure 14 is the block diagram of a kind of determining unit according to an exemplary embodiment.

Figure 15 is the block diagram of another the health and fitness information acquisition device according to an exemplary embodiment.

Figure 16 is the block diagram of another the health and fitness information acquisition device according to an exemplary embodiment.

Detailed description of the invention

Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the present invention.On the contrary, they only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present invention are consistent.

Fig. 1 is a kind of schematic diagram remaining the implementation environment involved by defining method using duration according to an exemplary embodiment.As shown in Figure 1, this implementation environment can comprise: server 101, intelligent closestool 102 and Intelligent target wearable device 103.Server 101 can be a station server, or the server cluster be made up of some station servers, or a cloud computing service center, and Intelligent target wearable device 103 can be Intelligent bracelet, intelligent necklace, intelligent watch etc.Can be connected by network between server 101 and intelligent closestool 102, can be connected by network or bluetooth between intelligent closestool 102 and Intelligent target wearable device mark 103.Server 101, for when receiving the parameter information that intelligent closestool sends, determines the health and fitness information of the user using intelligent closestool.Intelligent closestool 102 is for gathering user's physiologic information of the user using intelligent closestool.Intelligent target wearable device 103, for broadcast communication signal, carries Intelligent target wearable device mark in this signal of communication.

Fig. 2 is the flow chart of a kind of health and fitness information acquisition methods according to an exemplary embodiment, and as shown in Figure 2, the method is used for, in server, comprising the following steps.

In step 201, receive the parameter information that intelligent closestool sends, user's physiologic information and Intelligent target wearable device mark is carried in this parameter information, this user's physiologic information is the physiologic information of the user using this intelligent closestool, and this Intelligent target wearable device is current the dressed smart machine of this user.

In step 202., judge that whether this user's physiologic information is abnormal.

In step 203, when this user's physiologic information is abnormal, based on this user's physiologic information, the health and fitness information of this user is determined.

In step 204, based on this Intelligent target wearable device mark, this health and fitness information is sent to the user terminal bound with this Intelligent target wearable device.

In another embodiment of the present disclosure, judge that whether this user's physiologic information is abnormal, comprising:

When this user's physiologic information comprises multiple Excreta component content, obtain the normal level range that the plurality of Excreta component content is corresponding respectively;

When the plurality of Excreta component content is all positioned within each self-corresponding normal level range, determine that this user's physiologic information is normal, otherwise, determine that this user's physiologic information is abnormal.

When this user's physiologic information comprises multiple physiological parameter, obtain the normal parameters that the plurality of physiological parameter is corresponding respectively;

When the plurality of physiological parameter is all positioned within each self-corresponding normal parameters, determine that this user's physiologic information is normal, otherwise, determine that this user's physiologic information is abnormal.

In another embodiment of the present disclosure, based on this Intelligent target wearable device mark, this health and fitness information is sent to the user terminal bound with this Intelligent target wearable device, comprising:

Based on this Intelligent target wearable device mark, from the corresponding relation between the Intelligent worn device mark stored and user terminal identification, obtain corresponding user terminal identification;

Based on this user terminal identification, this health and fitness information is sent to corresponding user terminal.

In another embodiment of the present disclosure, based on this user terminal identification, this health and fitness information is sent to corresponding user terminal, comprising:

Based on this health and fitness information, from the corresponding relation between the health and fitness information stored and advisory information, obtain corresponding advisory information;

Based on this user terminal identification, this health and fitness information and this advisory information are sent to corresponding user terminal.

Above-mentioned all alternatives, all can form embodiment of the present disclosure according to combining arbitrarily, disclosure embodiment repeats no longer one by one to this.

Fig. 3 is the flow chart of a kind of health and fitness information acquisition methods according to an exemplary embodiment, and as shown in Figure 3, the method is used for, in intelligent closestool, comprising the following steps.

In step 301, detect the pressure acted on intelligent closestool, obtain pressure data.

In step 302, when this pressure data is more than or equal to pressure threshold, gather the user's physiologic information using the user of this intelligent closestool.

In step 303, determine that Intelligent target wearable device identifies, Intelligent target wearable device is current the dressed smart machine of this user.

In step 304, parameter information is sent to server, this user's physiologic information and this Intelligent target wearable device mark is carried in this parameter information, this server is made to determine the health and fitness information of this user based on this user's physiologic information, and based on this Intelligent target wearable device mark, this health and fitness information is sent to the user terminal bound with this Intelligent target wearable device.

In the disclosed embodiments, intelligent closestool detects the pressure acted on intelligent closestool, obtain pressure data, when this pressure data is more than or equal to pressure threshold, intelligent closestool collection is using user's physiologic information of the user of this intelligent closestool, and the mark of current the dressed Intelligent target wearable device of this user is determined, and then this intelligent closestool can send parameter information to server, this user's physiologic information and this Intelligent target wearable device mark is carried in this parameter information, this server is made to determine the health and fitness information of this user based on this user's physiologic information, and identify based on this Intelligent target wearable device, this health and fitness information is sent to the user terminal bound with this Intelligent target wearable device, thus user corresponding to this user terminal can be made to learn the physical condition that oneself is current in time.

In another embodiment of the present disclosure, gather the user's physiologic information using the user of this intelligent closestool, comprising:

Component content detection is carried out to the Excreta using the user of this intelligent closestool to drain, obtains multiple Excreta component content;

The plurality of Excreta component content is defined as user's physiologic information of this user.

To using the user of this intelligent closestool to carry out the detection of physiology project, obtain multiple physiological parameter;

The plurality of physiological parameter is defined as user's physiologic information of this user.

In another embodiment of the present disclosure, determine that Intelligent target wearable device identifies, comprising:

Receive the signal of communication of at least one Intelligent worn device broadcast, in this signal of communication, carry Intelligent worn device mark;

Based at least one signal of communication received, determine that Intelligent target wearable device identifies.

In another embodiment of the present disclosure, based at least one signal of communication received, determine that Intelligent target wearable device identifies, comprising:

Determine the signal intensity of this at least one signal of communication;

Based on the signal intensity of this at least one signal of communication, from this at least one signal of communication, select the signal of communication that signal intensity is the strongest;

The Intelligent worn device of carrying in the signal of communication of selection mark is defined as Intelligent target wearable device mark.

Fig. 4 is the flow chart of a kind of health and fitness information acquisition methods according to an exemplary embodiment, and as shown in Figure 4, the method comprises the following steps.

In step 401, intelligent closestool detects the pressure acted on intelligent closestool, obtains pressure data.

Wherein, pressure-detecting device can be provided with in intelligent closestool, this intelligent closestool can pass through this pressure-detecting device, detects the pressure acted on intelligent closestool, and then obtains pressure data, such as, this pressure-detecting device can be pressure transducer etc., and the pressure data obtained by this pressure transducer can be 1N, 2N, 3N etc., disclosure embodiment is not specifically limited this.

In step 402, when pressure data is more than or equal to pressure threshold, intelligent closestool collection is using user's physiologic information of the user of this intelligent closestool.

Due to when user uses intelligent closestool, larger pressure can be produced to this intelligent closestool, so, this intelligent closestool by the size of this pressure data, can judge whether that user is using this intelligent closestool, and when this pressure data is more than or equal to pressure threshold, the pressure acted on this intelligent closestool is larger, then can determine now have user using this intelligent closestool, afterwards, this intelligent closestool can gather user's physiologic information of this user.And when this pressure data is less than pressure threshold, determine now do not have user to use this intelligent closestool, end operation.

Such as, pressure threshold is 150N, and the pressure data that intelligent closestool obtains is 155N, because 155N is greater than 150N, then now this intelligent closestool can define user and use this intelligent closestool, and afterwards, this intelligent closestool can gather user's physiologic information of this user.

It should be noted that, this pressure threshold can pre-set, and such as, this pressure threshold can be 150N, 160N, 170N etc., and disclosure embodiment is not specifically limited this.

In addition, in the disclosed embodiments, this intelligent closestool can gather user's physiologic information of this user when this user goes to toilet, not only take full advantage of the time, meet the allegro requirement of the current life of people, and all can gather user's physiologic information of this user when this user goes to toilet at every turn due to this intelligent closestool, thus the physical condition that can be this user based on user's physiologic information of long-term acquisition provides reliable physiological data.

User's physiologic information due to user can be the Excreta component content of this user, also can be the physiological parameter of this user, therefore, when intelligent closestool collection is using user's physiologic information of the user of this intelligent closestool, can have two kinds of acquisition modes:

First kind of way: intelligent closestool can carry out component content detection to the Excreta using the user of this intelligent closestool to drain, and obtains multiple Excreta component content, and the plurality of Excreta component content is defined as user's physiologic information of this user.

Wherein, the Excreta of user's excretion can be the urine, feces etc. of user, and disclosure embodiment is not specifically limited this.In addition, Excreta composition is the composition comprised in the Excreta of this user excretion, and such as, this Excreta composition can be the composition such as water, carbamide, sodium in urine, also can be the composition such as inorganic salt, protein, fat in feces, the embodiment of the present invention be not specifically limited this.

Such as, when this Excreta is urine, intelligent closestool carries out component content to this urine and detects the multiple Excreta component contents obtained and can be: water 960g/L (grams per liter), carbamide 18g/L, sodium 3g/L etc.And when this Excreta is feces, intelligent closestool carries out component content to this feces and detects the multiple Excreta component contents obtained and can be: inorganic salt 10%, protein 5%, fat 10% etc.

It should be noted that, intelligent closestool can be provided with Excreta checkout gear, this intelligent closestool can carry out component content detection by this Excreta checkout gear to the Excreta of this user, such as, this Excreta checkout gear can be urine detector, feces checkout gear etc., and disclosure embodiment is not specifically limited this.

The second way: intelligent closestool can carry out the detection of physiology project to using the user of this intelligent closestool, obtains multiple physiological parameter, and the plurality of physiological parameter is defined as user's physiologic information of this user.

Wherein, the physiology project of user can be the body weight, blood pressure, body temperature etc. of user, and disclosure embodiment is not specifically limited this.

Such as, intelligent closestool is to after using the body weight of the user of this intelligent closestool, blood pressure, body temperature etc. to detect, and the multiple physiological parameters obtained can be: body weight 45kg (kilogram), blood pressure 105/69mmHg (millimetres of mercury), body temperature 37 DEG C (degree Celsius) etc.

It should be noted that, intelligent closestool can be provided with physiology project checkout gear, intelligent closestool can be detected by the physiology project of this physiology project checkout gear to this user, such as, this physiology project checkout gear can be pressure transducer, Wrist blood pressure meter, Infra-red ear thermometer etc., and disclosure embodiment is not specifically limited this.In addition, in practical application, pressure transducer can be arranged on the toilet seat of this intelligent closestool; Wrist blood pressure meter can be connected with intelligent closestool by data-interface and as the part of this intelligent closestool; Infra-red ear thermometer also can be connected with intelligent closestool by data-interface and as the part of this intelligent closestool, disclosure embodiment is not specifically limited this.

In step 403, intelligent closestool determination Intelligent target wearable device identifies, and Intelligent target wearable device is current the dressed smart machine of this user.

Wherein, Intelligent target wearable device mark unique identification Intelligent target wearable device, that is to say, Intelligent target wearable device is designated the mark of this Intelligent target wearable device, and the media interviews that this Intelligent target wearable device mark can be this Intelligent target wearable device control (English: MediaAccessControl or MediumAccessControl; Be called for short: MAC) address, dispatch from the factory serial number etc., disclosure embodiment is not specifically limited this.

Dress owing to using the user of intelligent closestool and have Intelligent target wearable device, and this Intelligent target wearable device is by Intelligent target wearable device mark unique identification, so, in order to determine the user identity using this intelligent closestool, this intelligent closestool needs to determine that this Intelligent target wearable device identifies.And the operation of this intelligent closestool determination Intelligent target wearable device mark can be: the signal of communication receiving the broadcast of at least one Intelligent worn device, Intelligent worn device mark is carried in this signal of communication, again based at least one signal of communication received, determine that this Intelligent target wearable device identifies.

Wherein, this intelligent closestool is based at least one signal of communication received, when determining that this Intelligent target wearable device identifies, this intelligent closestool can determine the signal intensity of this at least one signal of communication, again based on the signal intensity of this at least one signal of communication, from this at least one signal of communication, select the signal of communication that signal intensity is the strongest, and the Intelligent worn device of carrying in the signal of communication of selection mark is defined as Intelligent target wearable device mark.

Due to signal intensity and the distance positive correlation of signal of communication, namely the signal intensity of signal of communication that measures of intelligent closestool is stronger, the distance then broadcasting the Intelligent worn device of this signal of communication and this intelligent closestool is nearer, the signal intensity of the signal of communication that this intelligent closestool measures is more weak, the distance then broadcasting the Intelligent worn device of this signal of communication and this intelligent closestool is far away, so, when this intelligent closestool is based on the signal intensity of this at least one signal of communication, from this at least one signal of communication, during the signal of communication selecting signal intensity the strongest, that is to say the signal of communication that have selected the Intelligent worn device nearest with this intelligent closestool and broadcast.Due to Intelligent worn device and this intelligent closestool nearest time, user and this intelligent closestool of dressing this Intelligent worn device are nearest, again due to user and this intelligent closestool nearest time, this user uses the maximum probability of this intelligent closestool, therefore, nearest user can be defined as the user using this intelligent closestool by this intelligent closestool, and then the Intelligent worn device that nearest user dresses is defined as Intelligent target wearable device, this Intelligent worn device mark is defined as Intelligent target wearable device mark.

Such as, intelligent closestool receives 4 signals of communication, these 4 signals of communication are respectively signal of communication 1, signal of communication 2, signal of communication 3, signal of communication 4, and the signal intensity of signal of communication 1 is-30dBm (decibel millivolt), the signal intensity of signal of communication 2 is-75dBm, the signal intensity of signal of communication 3 is-35dBm, the signal intensity of signal of communication 4 is-90dBm, the signal intensity of these 4 signals of communication compares rear known by this intelligent closestool :-30dBm >-35dBm >-75dBm >-90dBm, so, this intelligent closestool can select the signal of communication 1 that signal intensity is the strongest, and the Intelligent worn device of carrying in signal of communication 1 mark is defined as Intelligent target wearable device mark.

It should be noted that, when intelligent closestool determines the signal intensity of this at least one signal of communication, not only can be detected by the signal strength detection module arranged in this intelligent closestool, certainly, the signal strength detection application program that this intelligent closestool can also be installed by self detects, and disclosure embodiment is not specifically limited this.

Also it should be noted that, Intelligent worn device can be Intelligent bracelet, intelligent necklace, intelligent watch etc., and disclosure embodiment is not specifically limited this.In addition, Intelligent worn device mark is used for unique identification Intelligent worn device, and this Intelligent worn device mark can for the MAC Address of this Intelligent worn device, dispatch from the factory serial number etc., and disclosure embodiment is not specifically limited this.

Moreover the signal of communication of Intelligent worn device broadcast can be that Bluetooth signal or Wireless Fidelity are (English: WIreless-Fidelity; Be called for short: WIFI) signal, disclosure embodiment is not specifically limited this.

In step 404, intelligent closestool sends parameter information to server, carries user's physiologic information and Intelligent target wearable device mark in this parameter information.

It should be noted that, WIFI, bluetooth or other wireless communication chips can be provided with in intelligent closestool, this intelligent closestool can be communicated with server by built-in WIFI, bluetooth or other wireless communication chips, and disclosure embodiment is not specifically limited this.

In step 405, when server receives the parameter information of intelligent closestool transmission, server judges that whether this user's physiologic information is abnormal.

Because the physical condition of user's physiologic information and user is closely bound up, therefore, server by judging that whether this user's physiologic information is abnormal, thus can determine that whether the physical condition of this user is abnormal.In addition, because user's physiologic information may comprise multiple Excreta component content, also may comprise multiple physiological parameter, therefore, when this server judges that whether user's physiologic information is abnormal, the following two kinds mode can be had:

First kind of way: when this user's physiologic information comprises multiple Excreta component content, obtain the normal level range that the plurality of Excreta component content is corresponding respectively, when the plurality of Excreta component content is all positioned within each self-corresponding normal level range, determine that this user's physiologic information is normal, otherwise, determine that this user's physiologic information is abnormal.

Wherein, after server obtains the plurality of Excreta component content normal level range corresponding respectively, this server can judge whether the plurality of Excreta component content is positioned within each self-corresponding normal level range, thus determines that whether this user's physiologic information is abnormal.And this server judges that the operation whether the plurality of Excreta component content is arranged within each self-corresponding normal level range can be: for each Excreta component content of the plurality of Excreta component content, this server can based on normal level range corresponding to this Excreta component content, determine minima and the maximum of this normal level range, the minima of this Excreta component content and this normal level range and maximum are compared respectively, when this Excreta component content is more than or equal to the minima of this normal level range and is less than or equal to the maximum of this normal level range, determine that this Excreta component content is positioned within this normal level range, when this Excreta component content is less than this normal level range minima or is greater than this normal level range maximum, determine that this Excreta component content is not positioned within this normal level range, and this Excreta component content is defined as abnormal Excreta component content.

Such as, the plurality of Excreta component content is multiple urinary fractions content, the plurality of urinary fractions content is water 960g/L, carbamide 18g/L, sodium 3g/L, and the corresponding respectively normal level range of the plurality of urinary fractions content is water 800g/L ~ 1000g/L, carbamide 10g/L ~ 20g/L, sodium 2g/L ~ 5g/L, that is to say, normal water content range is 800g/L ~ 1000g/L, normal urine cellulose content scope is 10g/L ~ 20g/L, normal sodium content range is 2g/L ~ 5g/L, then the minima of the water 960g/L in Excreta component content and normal water scope 800g/L ~ 1000g/L and maximum can compare by server respectively, determine 800g/L < 960g/L < 1000g/L, and then determine that the water content in Excreta is positioned within normal water content range.In like manner, server can determine that the urea content in Excreta is positioned within normal urine cellulose content scope, and determines that the sodium content in Excreta is positioned within normal sodium content range, and then determines that this user's physiologic information is normal.

It should be noted that, normal level range can pre-set, and normal level range is when to be user's body health status normal, the scope residing for Excreta component content of this user excretion, such as, when this Excreta is feces, this normal level range can be fat 10% ~ 20%, protein 2% ~ 3%, inorganic salt 10% ~ 20% etc., and disclosure embodiment is not specifically limited this.

In addition, multiple Excreta component contents that server can also comprise based on user's physiologic information, determine multiple Excreta composition, and based on this multiple Excreta composition, judge whether comprise abnormal component in this multiple Excreta composition, certainly, also multiple Excreta composition directly can be comprised in this user's physiologic information, now this server can directly obtain this multiple Excreta composition from this user's physiologic information, and based on this multiple Excreta composition, judge whether comprise abnormal component in this multiple Excreta composition, and then when this multiple Excreta composition comprises abnormal component, determine that this user's physiologic information is abnormal, otherwise, determine that this user's physiologic information is normal.

It should be noted that, when abnormal component is the physical condition exception of user, the abnormal Excreta composition occurred in the Excreta of this user excretion, such as, when this Excreta is urine, this abnormal component can be protein, glucose etc., and disclosure embodiment is not specifically limited this.

Wherein, server judges that the operation whether comprising abnormal component in this multiple Excreta composition can be: when this multiple Excreta composition all belongs to normal components set, determine not comprise abnormal component in this multiple Excreta composition, otherwise, determine that this multiple Excreta composition comprises abnormal component; Or, when at least one Excreta in this multiple Excreta composition becomes to belong to abnormal component set, determine that this multiple Excreta composition comprises abnormal component, otherwise, determine not comprise abnormal component in this multiple Excreta composition.

Such as, Excreta is urine, this multiple Excreta composition is water, carbamide and sodium, normal components set corresponding to urine is { water, carbamide, sodium }, because this multiple Excreta composition all belongs to normal components set, so server can be determined not comprise abnormal component in this multiple Excreta composition.

Again such as, Excreta is urine, this multiple Excreta composition is glucose, carbamide, sodium, abnormal component set corresponding to urine is { glucose, protein }, because the glucose in this multiple Excreta composition belongs to abnormal component set, so server can determine that this multiple Excreta composition comprises abnormal component.

It should be noted that, normal components set can pre-set, and normal components set is when to be the physical condition of user normal, the set of all normal excretion thing compositions that the Excreta of this user comprises, such as, when Excreta is urine, this normal components set can be water, carbamide, uric acid ..., disclosure embodiment is not specifically limited this.In addition, abnormal component set also can pre-set, and abnormal component set is when to be the physical condition of user abnormal, the set of all abnormal Excreta composition occurred in the Excreta of this user, such as, when Excreta is urine, this abnormal component set can be glucose, protein ..., disclosure embodiment is not specifically limited this.

The second way: when this user's physiologic information comprises multiple physiological parameter, obtain the normal parameters that the plurality of physiological parameter is corresponding respectively, when the plurality of physiological parameter is all positioned within each self-corresponding normal parameters, determine that this user's physiologic information is normal, otherwise, determine that this user's physiologic information is abnormal.

Wherein, after server obtains the plurality of physiological parameter normal parameters corresponding respectively, this server can judge whether the plurality of physiological parameter is positioned within each self-corresponding normal parameters, thus determines that whether this user's physiologic information is abnormal.And this server judges that the operation whether the plurality of physiological parameter is arranged within each self-corresponding normal parameters can be: for each physiological parameter of the plurality of physiological parameter, this server can based on normal parameters corresponding to this physiological parameter, determine minima and the maximum of this normal parameters, the minima of this physiological parameter and this normal parameters and this maximum are compared respectively, when this physiological parameter is more than or equal to the minima of this normal parameters and is less than or equal to the maximum of this normal parameters, determine that this physiological parameter is positioned within this normal parameters, when this physiological parameter is less than the minima of this normal parameters or is greater than the maximum of this normal parameters, determine that this physiological parameter is not positioned within this normal parameters, and this physiological parameter is defined as abnormal physiology parameter.

Such as, the plurality of physiological parameter is body weight 45kg, blood pressure 105/69mmHg, body temperature 37 DEG C, the corresponding respectively normal parameters of the plurality of physiological parameter is body weight 45kg ~ 80kg, blood pressure 90/60mmHg ~ 140/90mmHg, body temperature 36.2 DEG C ~ 37.2 DEG C, that is to say, nomal body weight range is 45kg ~ 80kg, normal arterial pressure scope is 90/60mmHg ~ 140/90mmHg, normal body temperature range is 36.2 DEG C ~ 37.2 DEG C, then the minima of the body weight 45kg in the plurality of physiological parameter and nomal body weight range and maximum can compare by server respectively, determine 45kg≤45kg < 80kg, and then determine that the body weight in physiological parameter is positioned within normal type parameter area.In like manner, this server can determine that the blood pressure in physiological parameter is positioned within normal arterial pressure scope, and determines that the body temperature in physiological parameter is positioned within normal body temperature range, and then determines that this user's physiologic information is normal.

It should be noted that, normal parameters can pre-set, and normal parameters is when to be user's body health status normal, scope residing for the physiological parameter of this user, such as, this normal parameters can be body weight 45kg ~ 80kg, blood pressure 90/60mmHg ~ 140/90mmHg, body temperature 36.2 DEG C ~ 37.2 DEG C etc.

In a step 406, when user's physiologic information is abnormal, server, based on this user's physiologic information, determines the health and fitness information of the user using intelligent closestool.

It should be noted that, the physical health issues that health and fitness information exists when being the physical condition exception of user, such as, this health and fitness information can be: urine urea content is high, feces protein content is high, blood pressure is low etc., and disclosure embodiment is not specifically limited this.

Wherein, because user's physiologic information can comprise Excreta component content, physiological parameter or Excreta composition, therefore, this server, based on this user's physiologic information, can have following three kinds of different determination modes when determining to use the health and fitness information of the user of intelligent closestool:

First kind of way: when user's physiologic information comprises multiple Excreta component content, server can from the plurality of Excreta component content, obtain at least one abnormal Excreta component content, each abnormal Excreta component content for this at least one abnormal Excreta component content, this server can determine the abnormal Excreta composition that this abnormal Excreta component content is corresponding, and based on this abnormal Excreta composition, determine the abnormal level scope at this abnormal Excreta component content place, afterwards, this server can based on the abnormal level scope of this abnormal Excreta composition with this abnormal Excreta composition place, from the abnormal Excreta composition stored, in corresponding relation between abnormal level scope and health and fitness information, obtain corresponding health and fitness information, and this health and fitness information is defined as the health and fitness information of the user using intelligent closestool.

Wherein, server is based on this abnormal Excreta composition, determine that the operation of the abnormal level scope at this abnormal Excreta component content place can be: this server can based on this abnormal Excreta composition, from abnormal Excreta composition, in corresponding relation between abnormal level scope and health and fitness information, obtain corresponding multiple abnormal level scopes, for each abnormal level scope in the plurality of abnormal level scope, this abnormal Excreta component content is compared with the maximum of this abnormal level scope and minima respectively, when this abnormal Excreta component content is greater than the minima of this abnormal level scope and is less than the maximum of this abnormal level scope, this abnormal level scope is defined as the abnormal level scope at this abnormal Excreta component content place.

Such as, Excreta is urine, the abnormal Excreta component content that server obtains is carbamide 28g/L, based on carbamide 28g/L, this server can determine that abnormal Excreta composition is urine carbamide, and determine that the abnormal level scope at carbamide 28g/L place is > 20g/L, afterwards, this server can based on this abnormal Excreta composition urine carbamide and this abnormal level scope > 20g/L, from abnormal Excreta composition as shown in table 1 below, in corresponding relation between abnormal level scope and health and fitness information, obtaining corresponding health and fitness information is that urine urea content is high, and by high for the urine urea content health and fitness information being defined as the user using intelligent closestool.

Table 1

It should be noted that, in the disclosed embodiments, be only described for the corresponding relation of abnormal Excreta composition, abnormal level scope and the health and fitness information shown in above-mentioned table 1, above-mentioned table 1 does not form restriction to disclosure embodiment.

The second way: when user's physiologic information comprises multiple physiological parameter, server can from the plurality of physiological parameter, obtain at least one abnormal physiology parameter, for each abnormal physiology parameter in this at least one abnormal physiology parameter, this server can determine the abnormal physiology project that this abnormal physiology parameter is corresponding, and based on this abnormal physiology project, determine the anomaly parameter scope at this abnormal physiology parameter place, afterwards, this server can based on this abnormal physiology project and this anomaly parameter scope, from the abnormal physiology project stored, in corresponding relation between anomaly parameter scope and health and fitness information, obtain corresponding health and fitness information, and this health and fitness information is defined as the health and fitness information of the user using intelligent closestool.

Wherein, server is based on this abnormal physiology project, determine that the operation of the anomaly parameter scope at this abnormal physiology parameter place can be: this server can based on this abnormal physiology project, from abnormal physiology project, in corresponding relation between anomaly parameter scope and health and fitness information, obtain corresponding multiple anomaly parameter scopes, for each anomaly parameter scope in the plurality of anomaly parameter scope, this abnormal physiology parameter is compared with the maximum of this anomaly parameter scope and minima respectively, when this abnormal physiology parameter is greater than the minima of this anomaly parameter scope and is less than the maximum of this anomaly parameter scope, this anomaly parameter scope is defined as the anomaly parameter scope at this abnormal physiology parameter place.

Such as, the abnormal physiology parameter that server obtains is blood pressure 80/50mmHg, this server can determine that the abnormal physiology project that blood pressure 80/50mmHg is corresponding is blood pressure, and determine that the abnormal blood pressure parameter area at blood pressure 80/50mmHg place is < 90/60mmHg, afterwards, this server can based on this abnormal physiology project blood pressure and this anomaly parameter range L EssT.LTssT.LT 90/60mmHg, from abnormal physiology project as shown in table 2 below, in corresponding relation between anomaly parameter scope and health and fitness information, obtaining corresponding health and fitness information is that blood pressure is low, and by low for the blood pressure health and fitness information being defined as the user using intelligent closestool.

Table 2

It should be noted that, in the disclosed embodiments, be only described for the corresponding relation of the abnormal physiology project shown in above-mentioned table 2, anomaly parameter scope and health and fitness information, above-mentioned table 2 does not form restriction to disclosure embodiment.

The third mode: when user's physiologic information comprises multiple Excreta composition, server can from the plurality of Excreta composition, obtain at least one abnormal component, and based on this at least one abnormal component, from the corresponding relation between the abnormal component stored and health and fitness information, obtain corresponding health and fitness information respectively, and this health and fitness information is defined as the health and fitness information of the user using intelligent closestool.

Such as, the abnormal component that server obtains is urine glucose, then this server can from the corresponding relation between abnormal component as shown in table 3 below and health and fitness information, the health and fitness information obtaining urine glucose corresponding is urine glucose too high levels, and urine glucose too high levels is defined as the health and fitness information of the user using intelligent closestool.

Table 3

Abnormal component	Health and fitness information
		Urine glucose	Urine glucose too high levels
Urine protein	Urine protein too high levels
		……	……

It should be noted that, in the disclosed embodiments, be only described for the corresponding relation between the abnormal component shown in above-mentioned table 3 and health and fitness information, above-mentioned table 3 does not form restriction to disclosure embodiment.

In step 407, server based target Intelligent worn device identifies, and health and fitness information is sent to the user terminal bound with this Intelligent target wearable device.

Because the health and fitness information of server acquisition is for feeding back the physical condition of this user, and the physical condition in order to make user know self in time, this server is after the health and fitness information obtaining this user, based target Intelligent worn device can identify, the health and fitness information of this user is sent to the user terminal bound with this Intelligent target wearable device.And server identifies based on this Intelligent target wearable device, when the health and fitness information of this user being sent to the user terminal bound with this Intelligent target wearable device, this server can based target Intelligent worn device identify, from the corresponding relation between the Intelligent worn device mark stored and user terminal identification, obtain corresponding user terminal identification, and based on this user terminal identification, this health and fitness information is sent to corresponding user terminal, thus user corresponding to this user terminal can be made to learn the physical condition of this user.

Wherein, be previously stored with the corresponding relation between Intelligent worn device mark and user terminal identification in server, that is to say, can in advance this Intelligent target wearable device and this user terminal be bound.And this user terminal identification is used for this user terminal of unique identification, that is to say, this user terminal identification is the mark of this user terminal, and this user terminal identification can for the MAC Address of this user terminal, dispatch from the factory serial number etc., and disclosure embodiment is not specifically limited this.

Such as, Intelligent worn device is designated the MAC Address of Intelligent worn device, user terminal identification is the MAC Address of user terminal, the Intelligent target wearable device that this server receives is designated 10-11-12-13-14-15, then this server can based on this Intelligent target wearable device mark 10-11-12-13-14-15, identifying with obtaining corresponding user terminal identification the corresponding relation between user terminal identification from Intelligent worn device as shown in table 4 below is 21-2A-32-54-75-30, and the health and fitness information of this user is sent to the user terminal that this user terminal identification 21-2A-32-54-75-30 is corresponding.

Table 4

Intelligent worn device identifies	User terminal identification
		10-11-12-13-14-15	21-2A-32-54-75-30
10-0A-13-54-05-06	10-1A-14-55-05-07
		10-0A-13-54-05-06	20-0A-13-2B-24-86
……	……

It should be noted that, in the disclosed embodiments, be only described for the corresponding relation between the Intelligent worn device mark shown in above-mentioned table 4 and user terminal identification, above-mentioned table 4 does not form restriction to disclosure embodiment.

Further, identify based on this Intelligent target wearable device at server, from store Intelligent worn device mark with obtain corresponding user terminal the corresponding relation between user terminal identification before, this server can also receive the equipment related information that user terminal sends, this Intelligent target wearable device mark and this user terminal identification is carried in this equipment related information, and then this server by this Intelligent target wearable device mark and this user terminal identification, can be stored in the corresponding relation between Intelligent worn device mark and user terminal identification.

It should be noted that, user terminal is to before server transmitting apparatus related information, this user terminal can scan multiple Intelligent worn device marks that current position covers, and when receiving selection instruction, the Intelligent worn device of carrying in this selection instruction mark is defined as Intelligent target wearable device mark, Intelligent target wearable device is designated the arbitrary Intelligent worn device mark in the plurality of Intelligent worn device mark, afterwards, this user terminal can based on this Intelligent target wearable device mark and this user terminal identification, generate this equipment related information.

Wherein, Intelligent target wearable device can utilize wireless connect technology to broadcast the mark of self, thus user terminal can be scanned.And this wireless connect technology can be near-field communication (English: NearFieldCommunication; Be called for short: NFC) technology, Bluetooth technology, WiFi technology etc., disclosure embodiment is not specifically limited this.

In addition, selection instruction is used for select target Intelligent worn device mark from multiple Intelligent worn device mark, and this selection instruction can be triggered by user, this user can be triggered by assigned operation, this assigned operation can be clicking operation, slide, voice operating etc., and disclosure embodiment is not specifically limited this.

Further, this server not only can based on user terminal identification, this health and fitness information is sent to corresponding user terminal, certainly, this server can also based on this health and fitness information, from the corresponding relation between the health and fitness information stored and advisory information, obtain corresponding advisory information, and based on this user terminal identification, this health and fitness information and this advisory information are sent to corresponding user terminal, user not only can be made to learn the physical condition that oneself is current, and user can be made to improve the physical condition of oneself according to this advisory information.

Wherein, advisory information refers to the suggestion that the physical health issues comprised health and fitness information improves, and such as, this advisory information can be vitimin supplement C, drink Mel etc., and disclosure embodiment is not specifically limited this.

Such as, health and fitness information is that blood pressure is low, server can be low based on this health and fitness information blood pressure, from the corresponding relation between health and fitness information as shown in table 5 below and advisory information, the advisory information obtaining the low correspondence of blood pressure is vitimin supplement C, vitamin B complex and vitamin PP, and based on user terminal identification, this health and fitness information and advisory information are sent to corresponding user terminal.

Table 5

Health and fitness information	Advisory information
		Blood pressure is low	Vitimin supplement C, vitamin B complex and vitamin PP
Body temperature is low	Increase warming
		……	……

It should be noted that, in the disclosed embodiments, be only described for the corresponding relation between the health and fitness information shown in above-mentioned table 5 and advisory information, above-mentioned table 5 does not form restriction to disclosure embodiment.

In the disclosed embodiments, intelligent closestool gathers using user's physiologic information of the user of this intelligent closestool, and this user's physiologic information is sent to server, server judges that whether this user's physiologic information is abnormal, when this user's physiologic information is abnormal, server can based on this user's physiologic information, determine the health and fitness information of the user using intelligent closestool, and then obtain corresponding advisory information based on this health and fitness information, and this health and fitness information and this advisory information are sent to corresponding user terminal, make user corresponding to this user terminal can learn the physical condition that oneself is current from this health and fitness information, and the physical condition of oneself is improved according to this advisory information.

Fig. 5 is the block diagram of a kind of health and fitness information acquisition device according to an exemplary embodiment.With reference to Fig. 5, this device comprises receiver module 501, judge module 502, determination module 503, sending module 504.

Receiver module 501, for receiving the parameter information that intelligent closestool sends, user's physiologic information and Intelligent target wearable device mark is carried in this parameter information, this user's physiologic information is the physiologic information of the user using this intelligent closestool, and Intelligent target wearable device is current the dressed smart machine of this user;

Judge module 502, for judging that whether this user's physiologic information is abnormal;

Determination module 503, for when this user's physiologic information is abnormal, based on this user's physiologic information, determines the health and fitness information of this user;

Sending module 504, for based on this Intelligent target wearable device mark, sends to the user terminal bound with this Intelligent target wearable device by this health and fitness information.

In another embodiment of the present disclosure, with reference to Fig. 6, this judge module 502 comprises the first acquiring unit 5021, first determining unit 5022.

First acquiring unit 5021, for when this user's physiologic information comprises multiple Excreta component content, obtains the normal level range that the plurality of Excreta component content is corresponding respectively;

First determining unit 5022, for when the plurality of Excreta component content is all positioned within each self-corresponding normal level range, determines that this user's physiologic information is normal, otherwise, determine that this user's physiologic information is abnormal.

In another embodiment of the present disclosure, with reference to Fig. 7, this judge module 502 comprises second acquisition unit 5023, the second determining unit 5024.

Second acquisition unit 5023, for when this user's physiologic information comprises multiple physiological parameter, obtains the normal parameters that the plurality of physiological parameter is corresponding respectively;

Second determining unit 5024, during for being all positioned within each self-corresponding normal parameters when the plurality of physiological parameter, determines that this user's physiologic information is normal, otherwise, determine that this user's physiologic information is abnormal.

In another embodiment of the present disclosure, with reference to Fig. 8, this sending module 504 comprises acquiring unit 5041, transmitting element 5042.

3rd acquiring unit 5041, for based on this Intelligent target wearable device mark, from the corresponding relation between the Intelligent worn device mark stored and user terminal identification, obtains corresponding user terminal identification;

Transmitting element 5042, for based on this user terminal identification, sends to corresponding user terminal by this health and fitness information.

In another embodiment of the present disclosure, with reference to Fig. 9, this transmitting element 5042 comprises acquisition subelement 50421, sends subelement 50422.

Obtain subelement 50421, for based on this health and fitness information, from the corresponding relation between the health and fitness information stored and advisory information, obtain corresponding advisory information;

Send subelement 50422, for based on this user terminal identification, this health and fitness information and this advisory information are sent to corresponding user terminal.

About the device in above-described embodiment, wherein the concrete mode of modules executable operations has been described in detail in about the embodiment of the method, will not elaborate explanation herein.

Figure 10 is the block diagram of a kind of health and fitness information acquisition device according to an exemplary embodiment.With reference to Figure 10, this device comprises detection module 601, acquisition module 602, determination module 603, sending module 604.

Detection module 601, for detecting the pressure acted on intelligent closestool, obtains pressure data;

Acquisition module 602, for when this pressure data is more than or equal to pressure threshold, gathers the user's physiologic information using the user of this intelligent closestool;

Determination module 603, for determining that Intelligent target wearable device identifies, Intelligent target wearable device is current the dressed smart machine of this user;

Sending module 604, for sending parameter information to server, this user's physiologic information and this Intelligent target wearable device mark is carried in this parameter information, this server is made to determine the health and fitness information of this user based on this user's physiologic information, and based on this Intelligent target wearable device mark, this health and fitness information is sent to the user terminal bound with this Intelligent target wearable device.

In another embodiment of the present disclosure, with reference to Figure 11, this acquisition module 602 comprises the first detecting unit 6021, first determining unit 6022.

First detecting unit 6021, for when described pressure data is more than or equal to pressure threshold, carries out component content detection to the Excreta using the user of this intelligent closestool to drain, obtains multiple Excreta component content;

First determining unit 6022, for being defined as user's physiologic information of this user by the plurality of Excreta component content.

In another embodiment of the present disclosure, with reference to Figure 12, this acquisition module 602 comprises the second detecting unit 6023, second determining unit 6024.

Second detecting unit 6023, for when described pressure data is more than or equal to pressure threshold, to using the user of this intelligent closestool to carry out the detection of physiology project, obtains multiple physiological parameter;

Second determining unit 6024, for being defined as user's physiologic information of this user by the plurality of physiological parameter.

In another embodiment of the present disclosure, with reference to Figure 13, this determination module 603 comprises receiving element 6031, determining unit 6032.

Receiving element 6031, for receiving the signal of communication of at least one Intelligent worn device broadcast, carries Intelligent worn device mark in this signal of communication;

Determining unit 6032, for based at least one signal of communication received, determines that this Intelligent target wearable device identifies.

In another embodiment of the present disclosure, with reference to Figure 14, this determining unit 6032 comprises first and determines subelement 60321, and chooser unit 60322, the second determines subelement 60323.

First determines subelement 60321, for determining the signal intensity of this at least one signal of communication;

Chooser unit 60322, for the signal intensity based on this at least one signal of communication, from this at least one signal of communication, selects the signal of communication that signal intensity is the strongest;

Second determines subelement 60323, for the Intelligent worn device of carrying in the signal of communication of selection mark is defined as this Intelligent target wearable device mark.

Figure 15 is the block diagram of a kind of device 1500 for health and fitness information acquisition according to an exemplary embodiment.Such as, device 1500 may be provided in a server.With reference to Figure 15, device 1500 comprises processing components 1522, and it comprises one or more processor further, and the memory resource representated by memorizer 1532, can such as, by the instruction of the execution of processing unit 1522, application program for storing.The application program stored in memorizer 1532 can comprise each module corresponding to one group of instruction one or more.

Device 1500 can also comprise the power management that a power supply module 1526 is configured to actuating unit 1500, and a wired or wireless network interface 1550 is configured to device 1500 to be connected to network, and input and output (I/O) interface 1558.Device 1500 can operate the operating system based on being stored in memorizer 1532, such as WindowsServerTM, MacOSXTM, UnixTM, LinuxTM, FreeBSDTM or similar.

In addition, processing components 1522 is configured to perform instruction, and to perform following health and fitness information acquisition methods, described method comprises:

Receive the parameter information that intelligent closestool sends, user's physiologic information and Intelligent target wearable device mark is carried in this parameter information, this user's physiologic information is the physiologic information of the user using this intelligent closestool, and this Intelligent target wearable device is current the dressed smart machine of this user.

Judge that whether this user's physiologic information is abnormal.

When this user's physiologic information is abnormal, based on this user's physiologic information, determine the health and fitness information of this user.

Based on this Intelligent target wearable device mark, this health and fitness information is sent to the user terminal bound with this Intelligent target wearable device.

Figure 16 is the block diagram of a kind of device 1600 for health and fitness information acquisition according to an exemplary embodiment.Such as, device 1600 can be intelligent closestool.With reference to Figure 16, device 1600 can comprise following one or more assembly: processing components 1602, memorizer 1604, power supply module 1606, multimedia groupware 1608, the interface 1610 of I/O (I/O), sensor cluster 1612, and communications component 1614.

The integrated operation of the usual control device 1600 of processing components 1602, such as with display, data communication and record operate the operation be associated.Treatment element 1602 can comprise one or more processor 1620 to perform instruction, to complete all or part of step of above-mentioned method.In addition, processing components 1602 can comprise one or more module, and what be convenient between processing components 1602 and other assemblies is mutual.Such as, processing unit 1602 can comprise multi-media module, mutual with what facilitate between multimedia groupware 1608 and processing components 1602.

Memorizer 1604 is configured to store various types of data to be supported in the operation of equipment 1600.Memorizer 1604 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), read only memory (ROM), magnetic memory, flash memory, disk or CD.

The various assemblies that electric power assembly 1606 is device 1600 provide electric power.Electric power assembly 1606 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 1600 and be associated.

Multimedia groupware 1608 is included in the screen providing an output interface between described device 1600 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch screen, to receive the input signal from user.Touch panel comprises one or more touch sensor with the gesture on sensing touch, slip and touch panel.Described touch sensor can the border of not only sensing touch or sliding action, but also detects the persistent period relevant to described touch or slide and pressure.

I/O interface 1610 is for providing interface between processing components 1602 and peripheral interface module, and above-mentioned peripheral interface module can be a striking wheel, button etc.These buttons can include but not limited to: home button, start button and locking press button.

Sensor cluster 1612 comprises one or more sensor, for providing the state estimation of various aspects for device 1600.Such as, sensor cluster 1612 can detect the opening/closing state of equipment 1600, the relative localization of assembly, such as described assembly is display and the keypad of device 1600, the position change of all right checkout gear 1600 of sensor cluster 1612 or device 1600 assemblies, the presence or absence that user contacts with device 1600, the variations in temperature of device 1600 orientation or acceleration/deceleration and device 1600.Sensor cluster 1612 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor cluster 1612 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor cluster 1612 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.

Communications component 1614 is configured to the communication being convenient to wired or wireless mode between device 1600 and other equipment.Device 1600 can access the wireless network based on communication standard, as WiFi, and bluetooth, or their combination.In one exemplary embodiment, communication component 1614 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communication component 1614 also comprises near-field communication (NFC) module, to promote junction service.Such as, can based on RF identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.

In the exemplary embodiment, device 1600 can be realized, for performing said method by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components.

In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the memorizer 1604 of instruction, above-mentioned instruction can perform said method by the processor 1620 of device 1600.Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.

A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is performed by the processor of device 1600, make device 1600 can perform a kind of health and fitness information acquisition methods, described method comprises:

Detect the pressure acted on intelligent closestool, obtain pressure data.

When this pressure data is more than or equal to pressure threshold, gather the user's physiologic information using the user of this intelligent closestool.

Determine that Intelligent target wearable device identifies, Intelligent target wearable device is current the dressed smart machine of this user.

Parameter information is sent to server, this user's physiologic information and this Intelligent target wearable device mark is carried in this parameter information, this server is made to determine the health and fitness information of this user based on this user's physiologic information, and based on this Intelligent target wearable device mark, this health and fitness information is sent to the user terminal bound with this Intelligent target wearable device.

Determine the signal intensity of this at least one signal of communication;

Those skilled in the art, in consideration description and after putting into practice invention disclosed herein, will easily expect other embodiment of the present invention.The application is intended to contain any modification of the present invention, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present invention and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Description and embodiment are only regarded as exemplary, and true scope of the present invention and spirit are pointed out by claim below.

Should be understood that, the present invention is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.Scope of the present invention is only limited by appended claim.

Claims

1. a health and fitness information acquisition methods, is characterized in that, described method comprises:

Judge that whether described user's physiologic information is abnormal;

2. the method for claim 1, is characterized in that, describedly judges that described user's physiologic information is whether abnormal, comprising:

3. the method for claim 1, is characterized in that, describedly judges that described user's physiologic information is whether abnormal, comprising:

4. the method for claim 1, is characterized in that, described based on described Intelligent target wearable device mark, described health and fitness information is sent to the user terminal bound with described Intelligent target wearable device, comprising:

5. method as claimed in claim 4, is characterized in that, described based on described user terminal identification, described health and fitness information is sent to corresponding user terminal, comprising:

6. a health and fitness information acquisition methods, is characterized in that, described method comprises:

Detect the pressure acted on intelligent closestool, obtain pressure data;

7. method as claimed in claim 6, it is characterized in that, described collection is using user's physiologic information of the user of described intelligent closestool, comprising:

8. method as claimed in claim 6, it is characterized in that, described collection is using user's physiologic information of the user of described intelligent closestool, comprising:

9. method as claimed in claim 6, is characterized in that, describedly determines that Intelligent target wearable device identifies, and comprising:

10. method as claimed in claim 9, is characterized in that described at least one signal of communication based on receiving is determined that described Intelligent target wearable device identifies, being comprised:

11. 1 kinds of health and fitness information acquisition device, is characterized in that, described device comprises:

12. devices as claimed in claim 11, it is characterized in that, described judge module comprises:

13. devices as claimed in claim 11, it is characterized in that, described judge module comprises:

14. devices as claimed in claim 11, it is characterized in that, described sending module comprises:

15. devices as claimed in claim 14, it is characterized in that, described transmitting element comprises:

16. 1 kinds of health and fitness information acquisition device, is characterized in that, described device comprises:

17. devices as claimed in claim 16, it is characterized in that, described acquisition module comprises:

18. devices as claimed in claim 16, it is characterized in that, described acquisition module comprises:

19. devices as claimed in claim 16, it is characterized in that, described determination module comprises:

20. devices as claimed in claim 19, it is characterized in that, described determining unit comprises:

21. 1 kinds of health and fitness information acquisition device, is characterized in that, described device comprises:

Processor;

For the memorizer of storage of processor executable instruction;

Wherein, described processor is configured to:

Judge that whether described user's physiologic information is abnormal;

22. 1 kinds of health and fitness information acquisition device, is characterized in that, described device comprises:

Processor;

For the memorizer of storage of processor executable instruction;

Wherein, described processor is configured to:

Detect the pressure acted on intelligent closestool, obtain pressure data;