CN113989856A - Mode identification integrated service system based on heterogeneous software interface - Google Patents
Mode identification integrated service system based on heterogeneous software interface Download PDFInfo
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Abstract
The invention discloses a pattern recognition integrated service system based on heterogeneous software interfaces, which comprises a back bending measurement module and a heterogeneous software interface recognition module, wherein the back bending measurement module comprises a seating detection module, an infrared scanning module, a contour fitting module, a body part locking module, a bone scanning module and a result uploading module, the infrared scanning module is electrically connected with the contour fitting module, the contour fitting module is electrically connected with the body part locking module, the heterogeneous software interface recognition module comprises a timing module, a back bending analysis module, a curve drawing module, an exertion degree calculation module and a stretching number calculation module, the bone scanning module is electrically connected with the back bending analysis module, the back bending analysis module is electrically connected with the exertion degree calculation module, the stretching number calculation module is electrically connected with the exertion degree calculation module, the invention has the characteristic of strong practicability.
Description
Technical Field
The invention relates to the technical field of integrated services of systems, in particular to a pattern recognition integrated service system based on a heterogeneous software interface.
Background
Nowadays, due to the development of the internet and the change of the working property, most of the young people work in offices for a long time; for the employees of the clerks, long-term sedentary seems to have become common diseases, whether at home or in a unit office, the state is quite common when the employees sit at noon and one day; just because the living habits of long-term sedentary have a lot of negative effects on our lives, such as soreness of waist, backache and humpback, which affect our health, we need to pay enough attention to the problem of long-term sedentary;
many people can get up and stretch the body after sitting for a long time by self-feeling waist soreness and backache and humpback, but at the moment, the body already generates fatigue warning, the injury can be caused to the back spine for a long time, for the staff who is indulged in the work, the body slowly bends and humpback is unknown, and the practicability is poor. Therefore, the back bending degree value of the sitting staff is detected in real time and drawn into a line, so that the fatigue degree of the staff is calculated, the times of movement and stretching of the staff are prompted, the staff can be prevented from being harmed due to long-term stooping and humpback, and therefore it is necessary to design a pattern recognition integrated service system based on a heterogeneous software interface, which is high in practicability.
Disclosure of Invention
The present invention is directed to a pattern recognition integrated service system based on heterogeneous software interfaces, so as to solve the problems in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: a pattern recognition integrated service system based on heterogeneous software interfaces comprises a back bending measurement module and a heterogeneous software interface recognition module, wherein the back bending measurement module is electrically connected with the heterogeneous software interface recognition module;
the back bending measurement module is used for scanning a bending diagram of the back spine of the human body and uploading the bending diagram to the system, and the heterogeneous software interface identification module is used for setting different interfaces in the system to finish timing tasks, analysis and calculation tasks and information transmission tasks.
According to the technical scheme, the back bending measurement module comprises a seating detection module, an infrared scanning module, a contour fitting module, a body part locking module, a bone scanning module and a result uploading module, wherein the seating detection module is electrically connected with the infrared scanning module, the infrared scanning module is electrically connected with the contour fitting module, the contour fitting module is electrically connected with the body part locking module, the body part locking module is electrically connected with the bone scanning module, and the bone scanning module is electrically connected with the result uploading module;
the sitting detection module is used for detecting whether staff sit in, the infrared scanning module is used for detecting a human body on the seat in an infrared sensing mode and imaging the outline of the human body after the staff sit in, the outline fitting module is used for fitting an imaged outline according to a thermal imaging signal of the infrared scanning module, the body part locking module is used for distinguishing a body area in an outline picture, the skeleton scanning module is used for scanning bones of the body area by utilizing a CT technology and imaging the bones and distinguishing a spine area at the same time, and the result uploading module is used for uploading the result of the spine scanning module to the system.
According to the technical scheme, the heterogeneous software interface identification module comprises a timing module, a back bending analysis module, a curve drawing module, an exertion degree calculation module and a stretching number calculation module, wherein the timing module is electrically connected with a result uploading module, the back bending analysis module is electrically connected with the curve drawing module, the curve drawing module is electrically connected with the exertion degree calculation module, the stretching number calculation module is electrically connected with the exertion degree calculation module, and the stretching number calculation module is electrically connected with an information transmission module;
the timing module is used for setting a timing interface to finish timing tasks, the back bending analysis module is used for setting a back bending analysis interface to recognize and finish the task of analyzing the back bending degree according to a body skeleton map, the curve drawing module is used for setting a connecting line interface to recognize and finish the task of connecting lines according to back bending degree standard points, the fatigue degree calculation module is used for setting an fatigue degree calculation interface to recognize and finish the task of calculating the fatigue degree of staff according to the back bending degree of the staff, the stretching frequency calculation module is used for setting a stretching frequency calculation interface to recognize and finish the task of calculating the body stretching frequency of the staff needing to get up to move according to the fatigue degree of the staff, and the information transmission module is used for transmitting the result of the stretching frequency calculation module to the staff.
According to the technical scheme, the working steps of the system are as follows:
s1, starting a seating detection module, starting an infrared scanning module to scan a human body on a seat in real time when a gravity sensor in the seat detects a pressure change electric signal, fitting the human body contour according to infrared imaging of the human body contour by using a contour fitting module, dividing the whole human body contour into four regions, and locking a body region in the human body contour region by using a body part locking module;
s2, the skeleton scanning module scans the body area in a fixed point mode by utilizing a CT technology to form a body skeleton image and distinguish a spine area, and the result uploading module is utilized to upload the spine area skeleton image to the system;
s3, when a skeleton map signal is received in the system, a timing module is started, a back bending analysis module is started to identify a spine region in a body region and calculate the bending degree of the spine region, and a curve drawing module marks the bending degree theta value of the spine region of the employee detected in real time in a coordinate axis and sequentially connects the bending degree theta value with a line;
s4: the timing module finishes and the detection module that takes one's seat does not detect staff and leaves the seat, utilize fatigue degree calculation module analysis curve to draw the curve chart of module and calculate staff's fatigue degree according to the formula, with fatigue degree information transmission to tensile number of times calculation module in, tensile number of times calculation module utilizes the computational formula, calculate staff's tensile health number of times that need get up according to fatigue degree and sedentary time, information transfer module will stretch the result suggestion of number of times calculation module and need carry out the health and relax, should not sit for a long time this staff.
According to the above technical solution, in the step S1, the contour fitting module fits the contour of the human body according to the infrared imaging of the contour of the human body, and divides the contour of the human body into four regions, wherein the head region is represented by an ellipse shape close to the head shape, the body region is represented by a rectangle shape close to the torso shape, the leg region is represented by a region close to the leg shape, the arm region is represented by a region close to the arm shape, and the body part locking module identifies the desired rectangular body region.
According to the above technical solution, in the above step S2, the bone scanning module scans the bones of the locked rectangular body area by using CT technology, and divides the bones of the body area into two parts, wherein two symmetrically shaped bone areas are the sternum area, and the middle one of the sternum areas is the spine area with a long rod-shaped object having a curvature, and the bones of the spine area are imaged and transmitted to the system by the result uploading module.
According to the technical scheme, in the step S3, the back bending analysis module analyzes the bending degree by measuring the bending angle of the spine, and the human bones are continuously connected, so when the back of the human body is bent, the spine bones form a bent arc, the arc is extracted, a line is respectively led out from two ends of the spine arc and is connected with the bending inflection point of the spine arc, the intersection angle theta is the bending angle of the spine, and the smaller the angle is, the larger the bending degree of the back of the employee is.
According to the technical scheme, in the step S4, the curve drawing module enables the bending degree theta of the spine region of the employee detected in real time to pass through a formula
The calculated values are marked in the coordinate axis and are sequentially connected into a line;
if the whole connecting line is a curve or a straight line, which indicates that the back of the employee is gradually bent in a certain trend when the employee is in the seat, the calculation formula in the fatigue degree calculation module is as follows:
wherein p is the fatigue degree value of the employee after sitting for a long time, theta1Degree of back bending, θ, of the employee just sitting2The back bending degree is measured again after the staff sit for a long time;
if the curve and the straight line that the multistage different degree increases with time and progressively decreases appear in whole line, explain that the staff can have the process of bending over for a short time, straightening back relax after sedentary, consequently this staff's tiredness degree compares with the staff that the back was crooked gradually and had no straightening back relax after sedentary in same time always, and tiredness degree can reduce, then the computational formula in the tiredness degree calculation module is as follows:
wherein p is the fatigue degree value of the employee after sitting for a long time, theta1Degree of back bending, θ, of the employee just sitting2The degree of back flexion was measured again after the staff sedentary timekeeping was finished.
According to the technical scheme, in the step S4, the stretching frequency calculation module calculates the stretching frequency of the body according to the fatigue degree and the sedentary time of the staff, the timing module of the system sets the sedentary time, when the sedentary time counting down is finished, the sitting detection module does not detect that the pressure disappears, namely, the staff is always on the seat, the larger the comparison difference value of the bending degree of the back of the staff is, the more fatigue the staff is, and the more the frequency that the system reminds the staff to get up to stretch the back is.
According to the above technical solution, in the step S4, the formula for calculating the number of times that the employee stretches the body is as follows
n＝(p*n1+t*n2)*k
Wherein n is the number of times that the employee needs to stretch the body after sitting for a long time, p is the fatigue degree value of the employee after sitting for a long time, n1The number of times the body needs to be stretched under the unit fatigue degree value, t is the sedentary time value set by the system, n2The stretching times are needed for half an hour of sitting, k is a coefficient value, and n is carried when a decimal point exists.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the back bending measurement module is arranged to measure the bones of the spine region of the staff at a fixed point, the heterogeneous software interface module is used for analyzing the bending degree of the spine, the bending degree of the spine is calculated through a formula to draw a line, the fatigue degree of the staff in a period of time is calculated through the variation trend of the line, so that the frequency of the staff rising and stretching the body is analyzed, the waist soreness and humpback problem caused by long-time sitting of the staff can be effectively prevented, and the stretching frequency can be calculated through the fatigue degree to achieve the qualified exercise amount.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a general principle schematic of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a pattern recognition integrated service system based on heterogeneous software interfaces comprises a back bending measurement module and a heterogeneous software interface recognition module, wherein the back bending measurement module is electrically connected with the heterogeneous software interface recognition module;
the back bending measurement module is used for scanning a bending diagram of the back spine of the human body and uploading the bending diagram to the system, and the heterogeneous software interface identification module is used for setting different interfaces in the system to finish timing tasks, analysis and calculation tasks and information transmission tasks;
the back bending measurement module comprises a seating detection module, an infrared scanning module, a contour fitting module, a body part locking module, a bone scanning module and a result uploading module, wherein the seating detection module is electrically connected with the infrared scanning module, the infrared scanning module is electrically connected with the contour fitting module, the contour fitting module is electrically connected with the body part locking module, the body part locking module is electrically connected with the bone scanning module, and the bone scanning module is electrically connected with the result uploading module;
the system comprises an entrance detection module, an infrared scanning module, a contour fitting module, a body part locking module, a skeleton scanning module, a result uploading module and a system, wherein the entrance detection module is used for detecting whether employees enter seats or not, the infrared scanning module is used for detecting a human body on a seat in an infrared induction mode and imaging the contour of the human body after the employees enter the seats, the contour fitting module is used for fitting the imaged contour according to a thermal imaging signal of the infrared scanning module, the body part locking module is used for distinguishing a body area in a contour map, the skeleton scanning module is used for scanning the skeleton of the body area by utilizing a CT technology and imaging and distinguishing a spine area at the same time, and the result uploading module is used for uploading the result of the spine scanning module to the system;
the heterogeneous software interface identification module comprises a timing module, a back bending analysis module, a curve drawing module, an exertion degree calculation module and a stretching number calculation module, wherein the timing module is electrically connected with the result uploading module, the back bending analysis module is electrically connected with the curve drawing module, the curve drawing module is electrically connected with the exertion degree calculation module, the stretching number calculation module is electrically connected with the exertion degree calculation module, and the stretching number calculation module is electrically connected with the information transmission module;
the timing module is used for setting a timing interface to finish timing tasks, the back bending analysis module is used for setting a back bending analysis interface, the task of analyzing the back bending degree according to a body skeleton map is identified and finished, the curve drawing module is used for setting a connection interface, the task of connecting lines according to back bending degree punctuations is identified and finished, the fatigue degree calculation module is used for setting a fatigue degree calculation interface, the task of calculating the fatigue degree of staff according to the back bending degree of the staff is identified and finished, the stretching frequency calculation module is used for setting a stretching frequency calculation interface, the task of calculating the body stretching frequency of the staff needing to get up to move according to the fatigue degree of the staff is identified and finished, and the information transmission module is used for transmitting the result of the stretching frequency calculation module to the staff;
the working steps of the system are as follows:
s1, starting a seating detection module, starting an infrared scanning module to scan a human body on a seat in real time when a gravity sensor in the seat detects a pressure change electric signal, fitting the human body contour according to infrared imaging of the human body contour by using a contour fitting module, dividing the whole human body contour into four regions, and locking a body region in the human body contour region by using a body part locking module;
s2, the skeleton scanning module scans the body area in a fixed point mode by utilizing a CT technology to form a body skeleton image and distinguish a spine area, and the result uploading module is utilized to upload the spine area skeleton image to the system;
s3, when a skeleton map signal is received in the system, a timing module is started, a back bending analysis module is started to identify a spine region in a body region and calculate the bending degree of the spine region, and a curve drawing module marks the bending degree theta value of the spine region of the employee detected in real time in a coordinate axis and sequentially connects the bending degree theta value with a line;
s4: the timing module finishes and the seating detection module does not detect that the staff is out of the seat, the fatigue degree calculation module is used for analyzing a curve drawing module curve graph and calculating the fatigue degree of the staff according to a formula, the fatigue degree information is transmitted to the stretching frequency calculation module, the stretching frequency calculation module is used for calculating the frequency of the staff needing to get up and stretch the body according to the fatigue degree and the sedentary time by using the calculation formula, and the information transmission module prompts the staff to relax the body and be not suitable for sedentary according to the result of the stretching frequency calculation module;
in the step S1, the contour fitting module fits the contour of the human body according to the infrared imaging of the contour of the human body, and divides the contour of the entire human body into four regions, wherein a region with a shape close to the head is an ellipse to represent the head region, a rectangle with a shape close to the torso represents the body region, a region with a shape close to the legs represents the leg region, a region with a shape close to the arms represents the arm region, and the body part locking module identifies the rectangular body region;
in step S2, the bone scanning module scans the bones of the locked rectangular body area by using CT technology, and divides the bones of the body area into two parts, wherein two symmetrically-shaped bone areas are the sternum area, and one long rod-shaped bone with a curve in the middle of the sternum area is the spine area, and the spine area bones are imaged and transmitted to the system by the result uploading module;
in the step S3, the back bending analysis module analyzes the bending degree of the human body by measuring the spine bending angle, because human bones are continuously connected, when the human body back is bent, the spine bones form a curved arc line, the arc line is extracted, a line is respectively led out from two ends of the spine arc line to be connected with a bending inflection point of the spine arc line, the intersection angle θ is the spine bending angle, and the smaller the angle is, the larger the bending degree of the back of the employee is;
in the step S4, the curve-drawing module uses the real-time detected bending degree θ of the employee spine region through a formula
The calculated values are marked in the coordinate axis and are sequentially connected into a line;
if the whole connecting line is a curve and a straight line which increase and decrease along with time in the same degree, the back of the employee is gradually bent in a certain trend when the employee is in the seat, and the calculation formula in the fatigue degree calculation module is as follows:
wherein p is the fatigue degree value of the employee after sitting for a long time, theta1Degree of back bending, θ, of the employee just sitting2The back bending degree is measured again after the staff sit for a long time;
if the curve and the straight line that the multistage different degree increases with time and progressively decreases appear in whole line, explain that the staff can have the process of bending over for a short time, straightening back relax after sedentary, consequently this staff's tiredness degree compares with the staff that the back was crooked gradually and had no straightening back relax after sedentary in same time always, and tiredness degree can reduce, then the computational formula in the tiredness degree calculation module is as follows:
wherein p is the fatigue degree value of the employee after sitting for a long time, theta1Degree of back bending, θ, of the employee just sitting2The back bending degree is measured again after the staff sit for a long time;
in the step S4, the stretching frequency calculation module calculates the body stretching frequency according to the fatigue degree of the employee and the sedentary time, the timing module of the system sets the sedentary time, and when the sedentary time is counted down and the sitting detection module does not detect that the pressure is lost, that is, the employee is always on the seat, the larger the difference of the bending degree of the back of the employee is, the more tired the employee is, and the more times the system reminds the employee to get up and stretch the back;
in step S4, the formula for calculating the number of times the employee stretches the body is as follows:
n＝(p*n1+t*n2)*k
wherein n is the number of times that the employee needs to stretch the body after sitting for a long time, p is the fatigue degree value of the employee after sitting for a long time, n1The number of times the body needs to be stretched under the unit fatigue degree value, t is the sedentary time value set by the system, n2The stretching times are needed for half an hour of sitting, k is a coefficient value, and n is carried when a decimal point exists;
the specific embodiment is as follows:
the first embodiment is as follows: the back bending measurement module uploads the skeleton of the spine region of the employee A to the system, and the back bending analysis module measures the back bending degree theta of the employee A when the employee A is just seated1175 °, degree of back flexion θ measured again after sitting half an hour long2155 degrees and a line drawn by the back bending degree detected in real time within half an hour is a curve of which the same degree increases and decreases with time, so that the fatigue degree value of the A staff after sitting for a long time
N in the formula1＝10，n2When the coefficient value k is 1, the A staff needs to stretch the body for a long time after sitting
Secondly;
example two: the back bending measurement module uploads bones of a spine region of the employee B to the system, and the back bending analysis module measures the back bending degree theta of the employee A when the employee is just seated1175 °, degree of back flexion θ measured again after sitting half an hour long2165 ° and the degree of dorsiflexion detected in real time within half an hour is plotted asA straight line with different degrees increasing and decreasing along with the time, so that the fatigue degree value of the employee A after sitting for a long time
N in the formula1＝10，n2When the coefficient value k is 1, the number of times n that the employee needs to stretch the body after sitting for a long time is equal to (p n)1+t*n2) K 1 10+ 15 15 times;
example three: the back bending measurement module uploads bones of a spine region of the employee B to the system, and the back bending analysis module measures the back bending degree theta of the employee A when the employee is just seated1170 °, degree of back flexion θ measured again after sitting half an hour long2150 degrees and a line drawn by the back bending degree detected in real time within half an hour is a straight line with the same degree increasing along with the time, so that the fatigue degree value of the A staff after sitting for a long time
N in the formula1＝10，n2When the coefficient value k is 1, the A staff needs to stretch the body for a long time after sitting
Next, the process is carried out.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A pattern recognition integrated service system based on heterogeneous software interfaces is characterized in that: the device comprises a back bending measurement module and a heterogeneous software interface identification module, wherein the back bending measurement module is electrically connected with the heterogeneous software interface identification module;
the back bending measurement module is used for scanning a bending diagram of the back spine of the human body and uploading the bending diagram to the system, and the heterogeneous software interface identification module is used for setting different interfaces in the system to finish timing tasks, analysis and calculation tasks and information transmission tasks.
2. The integrated service system based on pattern recognition of heterogeneous software interfaces of claim 1, wherein: the back bending measurement module comprises a seating detection module, an infrared scanning module, a contour fitting module, a body part locking module, a bone scanning module and a result uploading module, wherein the seating detection module is electrically connected with the infrared scanning module, the infrared scanning module is electrically connected with the contour fitting module, the contour fitting module is electrically connected with the body part locking module, the body part locking module is electrically connected with the bone scanning module, and the bone scanning module is electrically connected with the result uploading module;
the sitting detection module is used for detecting whether staff sit in, the infrared scanning module is used for detecting a human body on the seat in an infrared sensing mode and imaging the outline of the human body after the staff sit in, the outline fitting module is used for fitting an imaged outline according to a thermal imaging signal of the infrared scanning module, the body part locking module is used for distinguishing a body area in an outline picture, the skeleton scanning module is used for scanning bones of the body area by utilizing a CT technology and imaging the bones and distinguishing a spine area at the same time, and the result uploading module is used for uploading the result of the spine scanning module to the system.
3. The integrated service system based on pattern recognition of heterogeneous software interfaces of claim 2, wherein: the heterogeneous software interface identification module comprises a timing module, a back bending analysis module, a curve drawing module, an exertion degree calculation module and a stretching frequency calculation module, wherein the timing module is electrically connected with the result uploading module, the back bending analysis module is electrically connected with the curve drawing module, the curve drawing module is electrically connected with the exertion degree calculation module, the stretching frequency calculation module is electrically connected with the exertion degree calculation module, and the stretching frequency calculation module is electrically connected with the information transmission module;
the timing module is used for setting a timing interface to finish timing tasks, the back bending analysis module is used for setting a back bending analysis interface to recognize and finish the task of analyzing the back bending degree according to a body skeleton map, the curve drawing module is used for setting a connecting line interface to recognize and finish the task of connecting lines according to back bending degree standard points, the fatigue degree calculation module is used for setting an fatigue degree calculation interface to recognize and finish the task of calculating the fatigue degree of staff according to the back bending degree of the staff, the stretching frequency calculation module is used for setting a stretching frequency calculation interface to recognize and finish the task of calculating the body stretching frequency of the staff needing to get up to move according to the fatigue degree of the staff, and the information transmission module is used for transmitting the result of the stretching frequency calculation module to the staff.
4. The integrated service system based on pattern recognition of heterogeneous software interfaces of claim 3, wherein: the working steps of the system are as follows:
s1, starting a seating detection module, starting an infrared scanning module to scan a human body on a seat in real time when a gravity sensor in the seat detects a pressure change electric signal, fitting the human body contour according to infrared imaging of the human body contour by using a contour fitting module, dividing the whole human body contour into four regions, and locking a body region in the human body contour region by using a body part locking module;
s2, the skeleton scanning module scans the body area in a fixed point mode by utilizing a CT technology to form a body skeleton image and distinguish a spine area, and the result uploading module is utilized to upload the spine area skeleton image to the system;
s3, when a skeleton map signal is received in the system, a timing module is started, a back bending analysis module is started to identify a spine region in a body region and calculate the bending degree of the spine region, and a curve drawing module marks the bending degree theta value of the spine region of the employee detected in real time in a coordinate axis and sequentially connects the bending degree theta value with a line;
s4: the timing module finishes and the detection module that takes one's seat does not detect staff and leaves the seat, utilize fatigue degree calculation module analysis curve to draw the curve chart of module and calculate staff's fatigue degree according to the formula, with fatigue degree information transmission to tensile number of times calculation module in, tensile number of times calculation module utilizes the computational formula, calculate staff's tensile health number of times that need get up according to fatigue degree and sedentary time, information transfer module will stretch the result suggestion of number of times calculation module and need carry out the health and relax, should not sit for a long time this staff.
5. The integrated service system based on pattern recognition of heterogeneous software interfaces of claim 4, wherein: in step S1, the contour fitting module fits the human body contour according to the infrared imaging of the human body contour, and divides the whole human body contour into four regions, wherein a head region is represented by an ellipse shape close to the head shape, a body region is represented by a rectangle shape close to the torso shape, a leg region is represented by a region close to the leg shape, an arm region is represented by a region close to the arm shape, and the body part locking module identifies the required rectangular body region.
6. The integrated service system based on pattern recognition of heterogeneous software interfaces of claim 5, wherein: in step S2, the bone scanning module scans the bones of the locked rectangular body area by using CT technology and divides the bones of the body area into two parts, wherein two symmetrically shaped bone areas are the sternum area, and one long rod-shaped bone with a curve in the middle of the sternum area is the spine area, and the spine area bones are imaged and transmitted to the system by the result uploading module.
7. The integrated service system based on pattern recognition of heterogeneous software interfaces of claim 6, wherein: in the step S3, the back bending analysis module analyzes the bending degree by measuring the spine bending angle, and since the human bones are continuously connected, when the back of the human body is bent, the spine bones form a curved arc, the arc is extracted, and a line is respectively led out from both ends of the spine arc to be connected with the bending inflection point of the spine arc, the intersection angle θ is the spine bending angle, and the smaller the angle is, the larger the bending degree of the back of the employee is.
8. The integrated service system based on pattern recognition of heterogeneous software interfaces of claim 7, wherein: in the step S4, the curve-drawing module uses the real-time detected bending degree θ of the employee spine region through a formula
The calculated values are marked in the coordinate axis and are sequentially connected into a line;
if the whole connecting line is a curve or a straight line, which indicates that the back of the employee is gradually bent in a certain trend when the employee is in the seat, the calculation formula in the fatigue degree calculation module is as follows:
wherein p is the fatigue degree value of the employee after sitting for a long time, theta1Degree of back bending, θ, of the employee just sitting2The back bending degree is measured again after the staff sit for a long time;
if the different degree of multistage appears in whole line and increases with time and when descending curve and straight line, explain that the staff can have the process of bending over for a short time, straightening back relax after sedentary, consequently, this staff's tiredness degree compares with the staff that the back was crooked gradually and did not straighten back relax after sedentary in same time always, and the tiredness degree can reduce, then the computational formula in the tiredness degree calculation module is as follows:
wherein p is the fatigue degree value of the employee after sitting for a long time, theta1Degree of back bending, θ, of the employee just sitting2The degree of back flexion was measured again after the staff sedentary timekeeping was finished.
9. The integrated service system based on pattern recognition of heterogeneous software interface of claim 8, wherein: in above-mentioned step S4, tensile number of times calculation module calculates tensile health number of times according to staff 'S degree of fatigue and sedentary time, and the time of sedentary time is set for to the timing module of system, and when sedentary time count-down ended, the time of sitting detection module not detected out pressure disappearance promptly the staff is in the seat always, and staff' S back bending degree contrast difference is big more, and the staff is tired more, and the system reminds the staff to get up the number of times of tensile back more.
10. The integrated service system based on pattern recognition of heterogeneous software interfaces of claim 9, wherein: in step S4, the formula for calculating the number of times the employee stretches the body is as follows:
n＝(p*n1+t*n2)*k
wherein n is the number of times that the employee needs to stretch the body after sitting for a long time, p is the fatigue degree value of the employee after sitting for a long time, n1The number of times of body stretching is required under the unit fatigue degree value, and t is the system setting for a long timeValue of sitting time, n2The stretching times are needed for half an hour of sitting, k is a coefficient value, and n is carried when a decimal point exists.
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