CN104188659A - Behavior data monitoring device based on GPRS - Google Patents

Abstract

The invention provides a behavior data monitoring device based on the GPRS. The behavior data monitoring device is integrally in a ring shape. The outer surface of the behavior data monitoring device is wrapped by EVA materials. An instrument panel is embedded in the middle of a ring. A ring body is formed by the instrument panel and a spliced chain belt connected to the two ends of the instrument panel. A GPRS communication module is embedded in the instrument panel. The instrument panel further comprises a three-axis gravity acceleration sensor, a gyroscope and a DSP. The DSP comprises an integrator and a filtering and optimizing module. The three-axis gravity acceleration sensor outputs X-axis acceleration data information, Y-axis acceleration data information, and Z-axis acceleration data information, the gyroscope outputs the angular rate information of the human body turn angle, the integrator of the DSP integrates the angular rate information output by the gyroscope to obtain the relative turn angle of the human body, the movement states are output according to the relative turn angle, and the movement states comprise moving, tumbling and stilling. The GPRS module transmits the movement state signals output by the DSP to a fixed point mobile phone end through the GPRS communication module.

Description

A kind of behavioral data supervising device based on GPRS

Technical field

The present invention relates to electronic applications, particularly a kind of behavioral data supervising device based on GPRS.

Background technology

Along with the aggravation of Aging Problem and the quickening of people's work rhythm, increasing old people need to live on one's own life, children or in other places, or not free treatment old man, old man's daily life has unexpected generation, for example fall, the old man children that meet accident really do not know, often cause serious consequence.

How at the time of emergency old man's situation to be sent in children's hands in real time, be current problem demanding prompt solution.

Summary of the invention

The present invention proposes a kind of behavioral data supervising device based on GPRS, solved the problem that how old man's situation is sent in time to children's mobile phone terminal.

Technical scheme of the present invention is achieved in that

A behavioral data supervising device based on GPRS, entirety is ring-type, its outer surface is that EVA material is coated, the embedded instrumental panel in position in ring, instrumental panel and the chain band looping main body being spliced that is connected to instrumental panel two ends;

Described instrumental panel is embedded in GPRS communication module;

Instrumental panel also comprises three axle Gravity accelerometers, gyroscope and dsp processor, and dsp processor comprises integrator and filtering and optimizes module; Described three axle Gravity accelerometer output X, Y, Z axis acceleration information information, the angular speed information of gyroscope output human body corner, the integrator of dsp processor obtains the angular speed information score of gyroscope output the relative rotation of human body, and according to described relative rotation output movement state, kinestate comprises: move, fall and static;

Described filtering and optimization module comprise the first subfilter, the second subfilter, the 3rd subfilter and senior filter, and the first subfilter is processed X-axis acceleration information information, and provides state estimation x1 and estimation error covariance matrix p1; The second subfilter is processed Y-axis acceleration information information, provides state estimation x2 and estimation error covariance matrix p2; The 3rd subfilter is processed Z axis acceleration information information, provides state estimation x3 and estimation error covariance matrix p3; Described state estimation x1, x2, x3 and estimation error covariance matrix p1, p2, p3 delivers to senior filter, and merges by formula (1) and formula (2) together with the state estimation of senior filter, obtains global optimum and estimates and covariance matrix:

${\hat{x}}_g=p_g\left(\underset{i=1}{\overset{3}{\mathrm{\Σ}}}{p}_i^{-1}{\hat{x}}_i\right)---\left(1\right)$

$p_g=\underset{i=1}{\overset{3}{\mathrm{\Σ}}}{p}_i^{-1}---\left(2\right)$

In formula, i=1,2,3;

The optimal estimation value of senior filter is reset to the state estimation of 3 subfilters,

${\hat{x}}_i={\hat{x}}_g---\left(3\right)$

$p_i={\mathrm{\β}}_i^{-1}{p}_g---\left(4\right)$

Using gravity vertically downward orientation be Y-axis as analyzing datum quantity, automatically adjust the size of p value, concrete adaptive algorithm is:

β ₁, β ₂, β ₃meet β ₁+ β ₂+ β ₃=1 (5)

${\mathrm{\β}}_1=\left\{\begin{array}{c}0.99,p\≤2\\ 2/p,2\≤p\≤5\\ 1/p,5\≤p\≤10\\ 2/p,p\≥10\end{array}\right.---\left(6\right)$

β ₂＝β ₃＝(1-β ₁)/2 (7)

Described dsp processor is estimated and covariance matrix output movement pattern and movement statistics according to global optimum, obtains the relative rotation of human body according to the angular speed information score of gyroscope output human body corner;

Described GPRS module is transferred to fixed point mobile phone terminal by the motion state signal of dsp processor output by GPRS communication module.

Alternatively, described dsp processor is TMS320F2812DSP processor.

The invention has the beneficial effects as follows:

(1) the behavioral data supervising device based on GPRS is worn on wrist, conveniently wears;

(2) outer coated EVA material, waterproof, nontoxic, tasteless;

(3) built-in dsp processor, is convenient to the renewal of system;

(4) unexpected situation accuracy of judgement, state sends in time.

Brief description of the drawings

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.

Fig. 1 is the structural representation that the present invention is based on the behavioral data supervising device of GPRS;

Fig. 2 is the circuit control block diagram that the present invention is based on the behavioral data supervising device of GPRS;

Fig. 3 is the circuit control block diagram of motion detection block of the present invention.

Detailed description of the invention

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.

As shown in Figure 1, a kind of behavioral data supervising device based on GPRS of the present invention, entirety is ring-type, its outer surface is that EVA material is coated, the embedded instrumental panel 1000 in position in ring, instrumental panel and the chain band looping main body being spliced that is connected to instrumental panel two ends.

Described instrumental panel is embedded in GPRS communication module.

Instrumental panel also comprises three axle Gravity accelerometers, gyroscope and dsp processor, and dsp processor comprises integrator and filtering and optimizes module; Described three axle Gravity accelerometer output X, Y, Z axis acceleration information information, the angular speed information of gyroscope output human body corner, the integrator of dsp processor obtains the angular speed information score of gyroscope output the relative rotation of human body, and according to described relative rotation output movement state, kinestate comprises: move, fall and static.

Described filtering and optimization module comprise the first subfilter, the second subfilter, the 3rd subfilter and senior filter, and the first subfilter is processed X-axis acceleration information information, and provides state estimation x1 and estimation error covariance matrix p1; The second subfilter is processed Y-axis acceleration information information, provides state estimation x2 and estimation error covariance matrix p2; The 3rd subfilter is processed Z axis acceleration information information, provides state estimation x3 and estimation error covariance matrix p3; Described state estimation x1, x2, x3 and estimation error covariance matrix p1, p2, p3 delivers to senior filter, and merges by formula (1) and formula (2) together with the state estimation of senior filter, obtains global optimum and estimates and covariance matrix:

${\hat{x}}_g=p_g\left(\underset{i=1}{\overset{3}{\mathrm{\Σ}}}{p}_i^{-1}{\hat{x}}_i\right)---\left(1\right)$

$p_g=\underset{i=1}{\overset{3}{\mathrm{\Σ}}}{p}_i^{-1}---\left(2\right)$

In formula, i=1,2,3;

The optimal estimation value of senior filter is reset to the state estimation of 3 subfilters,

${\hat{x}}_i={\hat{x}}_g---\left(3\right)$

$p_i={\mathrm{\β}}_i^{-1}{p}_g---\left(4\right)$

Using gravity vertically downward orientation be Y-axis as analyzing datum quantity, automatically adjust the size of p value, concrete adaptive algorithm is:

β ₁, β ₂, β ₃meet β ₁+ β ₂+ β ₃=1 (5)

${\mathrm{\β}}_1=\left\{\begin{array}{c}0.99,p\≤2\\ 2/p,2\≤p\≤5\\ 1/p,5\≤p\≤10\\ 2/p,p\≥10\end{array}\right.---\left(6\right)$

β ₂＝β ₃＝(1-β ₁)/2 (7)

Described dsp processor is estimated and covariance matrix output movement pattern and movement statistics according to global optimum, obtains the relative rotation of human body according to the angular speed information score of gyroscope output human body corner.

Described GPRS module is transferred to fixed point mobile phone terminal by the motion state signal of dsp processor output by GPRS communication module.

Preferably, described dsp processor is TMS320F2812DSP processor.

Behavioral data supervising device based on GPRS of the present invention also comprises dsp processor, and dsp processor is connected with described bluetooth module.Built-in dsp processor, is convenient to the renewal of later stage system, and dsp processor can have very strong compatibility to software upgrading.

Preferably, dsp processor is TMS320F2812DSP processor.TMS320F2812DSP, is 32 fixed DSPs, and the AD data acquisition that it has EVA, EVB task manager and supporting 12 16 passages, has abundant Peripheral Interface, as CAN, SCI etc.The ADC module of TMS320F2812 is 12 bit resolutions, has the analog-digital converter of pipeline organization, the built-in dual-sampling hold circuit of TMS320F2812, and while keeping data acquisition, window has independently pre-calibration to control.And permission system is to same Channel-shifted repeatedly, allow user to carry out over-sampling algorithm, this more traditional single transformation result has increased more solution, is conducive to improve the precision of sampling.There are multiple trigger sources can start ADC conversion.Conversion time fast, ADC clock can be configured to 25MHz, and the highest sampling bandwidth is 12.5MSPS.While building data collecting system with TMS320F2812, needn't external ADC, avoid complicated hardware designs.

Behavioral data supervising device based on GPRS of the present invention is worn on wrist, conveniently wears; Outer coated EVA material, waterproof, nontoxic, tasteless; Built-in dsp processor, is convenient to the renewal of system.

The foregoing is only preferred embodiment of the present invention, in order to limit the present invention, within the spirit and principles in the present invention not all, any amendment of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.

Claims (2)

1. the behavioral data supervising device based on GPRS, is characterized in that, entirety is ring-type, and its outer surface is that EVA material is coated, the embedded instrumental panel in position in ring, instrumental panel and the chain band looping main body being spliced that is connected to instrumental panel two ends;

Described instrumental panel is embedded in GPRS communication module;

Instrumental panel also comprises three axle Gravity accelerometers, gyroscope and dsp processor, and dsp processor comprises integrator and filtering and optimizes module; Described three axle Gravity accelerometer output X, Y, Z axis acceleration information information, the angular speed information of gyroscope output human body corner, the integrator of dsp processor obtains the angular speed information score of gyroscope output the relative rotation of human body, and according to described relative rotation output movement state, kinestate comprises: move, fall and static;

Described filtering and optimization module comprise the first subfilter, the second subfilter, the 3rd subfilter and senior filter, and the first subfilter is processed X-axis acceleration information information, and provides state estimation x1 and estimation error covariance matrix p1; The second subfilter is processed Y-axis acceleration information information, provides state estimation x2 and estimation error covariance matrix p2; The 3rd subfilter is processed Z axis acceleration information information, provides state estimation x3 and estimation error covariance matrix p3; Described state estimation x1, x2, x3 and estimation error covariance matrix p1, p2, p3 delivers to senior filter, and merges by formula (1) and formula (2) together with the state estimation of senior filter, obtains global optimum and estimates and covariance matrix:

${\hat{x}}_g=p_g\left(\underset{i=1}{\overset{3}{\mathrm{\Σ}}}{p}_i^{-1}{\hat{x}}_i\right)---\left(1\right)$

$p_g=\underset{i=1}{\overset{3}{\mathrm{\Σ}}}{p}_i^{-1}---\left(2\right)$

In formula, i=1,2,3;

The optimal estimation value of senior filter is reset to the state estimation of 3 subfilters,

${\hat{x}}_i={\hat{x}}_g---\left(3\right)$

$p_i={\mathrm{\β}}_i^{-1}{p}_g---\left(4\right)$

Using gravity vertically downward orientation be Y-axis as analyzing datum quantity, automatically adjust the size of p value, concrete adaptive algorithm is:

β ₁, β ₂, β ₃meet β ₁+ β ₂+ β ₃=1 (5)

${\mathrm{\β}}_1=\left\{\begin{array}{c}0.99,p\≤2\\ 2/p,2\≤p\≤5\\ 1/p,5\≤p\≤10\\ 2/p,p\≥10\end{array}\right.---\left(6\right)$

β ₂＝β ₃＝(1-β ₁)/2 (7)

Described dsp processor is estimated and covariance matrix output movement pattern and movement statistics according to global optimum, obtains the relative rotation of human body according to the angular speed information score of gyroscope output human body corner;

Described GPRS module is transferred to fixed point mobile phone terminal by the motion state signal of dsp processor output by GPRS communication module.

2. the behavioral data supervising device based on GPRS as claimed in claim 1, is characterized in that, described dsp processor is TMS320F2812DSP processor.