CN107014420A - A kind of sensor detection electronic pen and system - Google Patents
A kind of sensor detection electronic pen and system Download PDFInfo
- Publication number
- CN107014420A CN107014420A CN201710245544.8A CN201710245544A CN107014420A CN 107014420 A CN107014420 A CN 107014420A CN 201710245544 A CN201710245544 A CN 201710245544A CN 107014420 A CN107014420 A CN 107014420A
- Authority
- CN
- China
- Prior art keywords
- sensor
- image
- module
- detection
- processing module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D18/00—Testing or calibrating apparatus or arrangements provided for in groups G01D1/00 - G01D15/00
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The invention provides a kind of sensor detection electronic pen and system, detect that electronic pen is detected to sensor by the sensor with sensor information acquisition module, sensor detects electronic pen low-profile, it is easy to carry about with one, sensor can be detected at working sensor scene, the problem of so as to timely discovery sensor, substantially increase detection efficiency, detection time and testing cost are shortened, Consumer's Experience is good.
Description
Technical field
The present invention relates to technical field of data processing, electronic pen and system are detected in particular to a kind of sensor.
Background technology
With the rapid development of electronic technology, the electronic product of such as sensor be increasingly being applied to various industries and
Field.For example, using various sensors, such as, nitrogen oxides (NOx) sensor, air inlet more and more in vehicle
Pressure sensor, mass air flow sensor, TPS, crankshaft position sensor, intake air temperature sensor, cooling liquid temperature
Spend sensor, detonation sensor, vehicle speed sensor, air bag sensor, gas concentration sensor, tyre pressure sensor etc..
In vehicle, these sensors can be as input unit, by the operating various information of vehicle, such as speed, the temperature of various media
Degree, engine operating conditions etc., change into electric signal and send to such as vehicle processor (such as ECU), so that starting
Machine etc. is in optimum Working or detection abnormal conditions etc..
Although sensor has played increasing effect in various industries and field, if sensor function is not
Normally, it is also possible to exist potential dangerous or equipment or personnel are damaged, or environment is caused harm, for example, with car
Exemplified by nitrogen oxides (NOx) sensor in, if nitrogen oxides (NOx) sensor function is abnormal, such as nitrogen oxides
(NOx) transducer sensitivity declines, it is impossible to effectively detects nitrogen oxides (NOx), then engine may be caused to be in
Optimum Working, so as to cause fuel efficiency to decline, and may discharge exceeded nitrogen oxides (NOx), environment is caused
Harm, and then potential injury etc. is caused to the person.If as an example, the abnormal (measurement of velocity sensor function in vehicle
Velocity amplitude be less than actual velocity amplitude), then may cause potential traffic accident, personnel and property are caused damage.
Therefore how quickly and efficiently the function of detection sensor has become one of key issue that urgent need is solved.So
And, in the related art, the detection to sensor function generally requires to pull down sensor to be detected and is sent to manufacturer
To complete detection, or by means of relatively more bulky equipment and more step is used to be detected and judged at the scene；Cause
Detection efficiency is low, cost is higher, Consumer's Experience is poor for time and expense etc., can not discovery sensor in time function problem.
The content of the invention
In view of this, the purpose of the embodiment of the present invention is to provide a kind of sensor detection electronic pen and system, to improve
The detection efficiency of sensor.
In a first aspect, electronic pen is detected the embodiments of the invention provide a kind of sensor, including：Electronic pen body, processing
Module, display module, memory module and sensor information acquisition module；
The processing module, the display module, the memory module and the sensor information acquisition module are respectively provided with
In the electronic pen body interior；
The processing module, respectively with the display module, the memory module and the sensor information acquisition module
Connection；
The sensor information acquisition module, including the camera being connected with the processing module, the camera are set
In the pen tip position of the electronic pen body；
The sensor information acquisition module, for obtaining sensor information by the camera of setting, and will get
Sensor information be sent to the processing module；
The processing module, for receiving the sensor information that the sensor information acquisition module is sent, passes through processing
The sensor information received detects to sensor, obtains the testing result of sensor, and by the testing result of sensor
Store the memory module；Wherein, the testing result of sensor includes qualified and unqualified；When the processing module determines to pass
When the testing result of sensor is unqualified, the display module is controlled to send default first color of light；When the processing module is true
Determine sensor result it is qualified when, control the display module to send default second color of light；First color of light
It is different colours light with second color of light；
The memory module, for storing the testing result that the processing module is sent；
The display module, for sending default first color of light or institute according to the control of the processing module
State the second color of light.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the first of first aspect, wherein：Institute
Sensor information acquisition module is stated, specifically for：
By default pattern in 2 D code in camera scanning and identification sensor, the pattern in 2 D code pair is obtained
The sensor identification answered；
The sensor identification is sent to processing module so that whether the processing module is needed to the sensor mark
Know corresponding sensor to be detected；
When receiving the image capture instruction that the processing module is sent, the sensor is gathered by the camera
Sensor detection image；
The sensor detection image is sent to the processing module；
Wherein, the sensor is provided with data transmission interface, the data transmission interface, for passing through electrical cable
Road is connected with the sensor information acquisition module, the sensor information acquisition module is collected the sensing of the sensor
Data.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of second of first aspect, wherein：When
When receiving the sensor identification that the sensor information acquisition module is sent, the processing module, specifically for：
The sensor list prestored is obtained from the memory module, detection in need is recorded in the sensor list
The testing result of the sensor identification of sensor, the last detection time and the last detection time lower sensor；
The last detection time of the sensor identification respective sensor is obtained from the sensor list；
Current temporal information is obtained from the processing module；
When it is determined that the time interval of the temporal information got and the last detection time reach it is default
During detection time length, image capture instruction is sent to the sensor information acquisition module.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the third of first aspect, wherein：When
When receiving the sensor detection image that the sensor information acquisition module is sent, the processing module, specifically for：
The initial installation diagram picture of the sensor prestored is inquired from the memory module；
The sensor detection image is respectively divided into multiple images region；
From multiple described image regions, select k image-region to be spliced respectively, obtain multiple detections
Subgraph, wherein, multiple described image regions are averagely divided and obtained from top to bottom by the sensor detection image,M represents the figure that the sensor detection image is divided
As region quantity；
Deep learning is carried out to obtained the multiple detection subgraph and the initial installation diagram picture of the sensor, obtained
The feature difference figure of the sensor detection image and the initial installation diagram picture of the sensor；
Deep learning is carried out to obtained each feature difference figure, corresponding detection of each feature difference figure is obtained
The similar parameter of image and the initial installation diagram picture of the sensor；
It is determined that maximum similar parameter is used as the sensor detection image and the phase of the initial installation diagram picture of the sensor
Like degree；
When the similarity is more than or equal to the similarity threshold of setting, the sensor detection image and the biography are obtained
The initial installation diagram of sensor is as similar comparing result, and it is dissimilar that the comparing result includes phase Sihe；
When obtaining the comparing result of the sensor detection image and the initial installation diagram picture dissmilarity of the sensor, really
Surely detected sensor appearance damage, obtains detecting underproof result；
The display module is controlled to send first color of light.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 4th of first aspect kind, wherein：Institute
State processing module and deep learning is carried out to obtained the multiple detection subgraph and the initial installation diagram picture of the sensor, obtain
To the sensor detection image and the feature difference figure of the initial installation diagram picture of the sensor, including：
Deep learning is carried out to multiple detection subgraphs and the initial installation diagram picture of the sensor, multiple first are obtained
Sensor image characteristic pattern and second sensor characteristics of image figure；
Value regional center is characterized with each pixel point coordinates stored in default pixel coordinate set, according to default
Current first sensor characteristics of image figure and the second sensor characteristics of image figure, are divided into by characteristic value area size respectively
Multiple the First Eigenvalue regions and multiple Second Eigenvalue regions；
Profile maxima is obtained respectively from the multiple the First Eigenvalue region and the multiple Second Eigenvalue region；
Calculating is obtained from the First Eigenvalue region and Second Eigenvalue region with same characteristic features value regional center respectively
The difference of the profile maxima taken, obtains multiple feature differences；
Using the multiple feature difference as pixel value, according to default feature difference figure size, generation described current first
The feature difference figure of sensor image characteristic pattern and second sensor characteristics of image figure.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 5th of first aspect kind, wherein：Institute
State processing module and deep learning is carried out to multiple detection subgraphs and the initial installation diagram picture of the sensor, obtain multiple the
One sensor image characteristic pattern and second sensor characteristics of image figure, including：
Deep learning is carried out to obtained detection subgraph from convolutional neural networks by first, multiple described first are obtained
Sensor image characteristic pattern；
The initial installation diagram picture of any sensor selected from image library is carried out from convolutional neural networks by second deep
Degree study, obtains the second sensor characteristics of image figure, wherein, described second rolls up certainly from convolutional neural networks and described first
The structure of product neutral net is identical.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 6th of first aspect kind, wherein：Institute
Stating sensor information acquisition module also includes：Transducing signal collecting unit；
The transducing signal collecting unit, including：Transducing signal detecting head, signal amplifier, AD conversion unit, calibration
Circuit and single-chip microcomputer；
The signal amplifier is connected with the transducing signal detecting head, AD conversion unit and calibration circuit respectively；Institute
State AD conversion unit and single-chip microcomputer connection；The single-chip microcomputer and processing module connection；The transducing signal detection
Head, is connected by the data transmission interface of electrical connection circuit and sensor；
The transducing signal detecting head, for the data acquisition instructions sent according to the processing module, obtains sensor
The transducing signal sent, and the transducing signal got is sent to the signal amplifier；
The signal amplifier, for being amplified to the transducing signal received, is then communicated to the modulus
Converting unit；
The calibration circuit, for being verified to the transducing signal that the signal amplifier is received；
The AD conversion unit, for carrying out analog-to-digital conversion to the transducing signal after amplification, and by analog-to-digital conversion
The transducing signal afterwards is sent to the single-chip microcomputer；
The single-chip microcomputer, it is described to be used to handle the transducing signal received, obtain the transducing signal pair
The sensing data answered, and the obtained sensing data is sent to the processing module.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 7th of first aspect kind, wherein：Institute
Processing module is stated, is additionally operable to：
When obtaining the sensor detection image and the initial installation diagram of the sensor as similar comparing result, it is determined that
Detected sensor well-tended appearance, and data acquisition instructions are sent to the transducing signal collecting unit, make the sensing letter
Number collecting unit collection sensing data；
Receive the sensing data that the transducing signal collecting unit is collected；
Sensor abnormality data list, the sensor abnormality data list are obtained from the memory module, including is passed
Sensor identifies the corresponding relation with abnormal data scope；
According to the sensor identification received, the sensor mark is obtained from the sensor abnormality data list
Know corresponding abnormal data scope；
Judge the sensing data received whether in the range of default abnormal data；
If it is, determining that sensor detection is qualified, the display module is controlled to send second color of light；
If it is not, then determining that sensor detection is unqualified, the display module is controlled to send first color of light.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 8th of first aspect kind, wherein：Also
Including：Wireless transmission unit；
The wireless transmission unit includes：The mobile communication baseband processing chip that is sequentially connected, analog-to-digital conversion module, movement
Communication radio frequency chip and mobile communication antenna；The mobile communication baseband processing chip is also connected with the processing module；
The mobile communication baseband processing chip, for being modulated processing to the sensing data, will carry out modulation
The sensing data after processing is sent to the analog-to-digital conversion module, the sensing data after modulation, in mobile radio communication
It is transmitted in network；
The analog-to-digital conversion module, for carrying out digital-to-analogue conversion, and the institute that digital-to-analogue conversion is finished to the sensing data
State sensing data and be sent to the mobile communication radio frequency chip；
The mobile communication radio frequency chip, the sensing data for digital-to-analogue conversion to be finished passes through mobile communication antenna
It is sent to server so that the server, the sensing data is received by mobile communications network.
Second aspect, the embodiment of the present invention also provides a kind of sensor detecting system, including above-mentioned sensor detection electricity
Sub- pen and the server interacted with sensor detection electronic pen.
Sensor detection electronic pen provided in an embodiment of the present invention and system, by with sensor information acquisition module
Sensor detection electronic pen detects to sensor, and the detection of sensor function is generally required in correlation technique will be to be checked
The sensor of survey is pulled down and is sent to manufacturer to complete detection, or at the scene by means of relatively more bulky equipment and using more
The step of detected and judge to compare, sensor detection electronic pen low-profile, it is easy to carry can be in working sensor
Scene is detected to sensor, the problem of so as to timely discovery sensor, is substantially increased detection efficiency, is shortened inspection
Survey time and testing cost, Consumer's Experience are good.
To enable the above objects, features and advantages of the present invention to become apparent, preferred embodiment cited below particularly, and coordinate
Appended accompanying drawing, is described in detail below.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be attached to what is used required in embodiment
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore is not construed as pair
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 shows that a kind of sensor that the embodiment of the present invention is provided detects the structural representation of electronic pen；
Fig. 2 shows that the sensor that the embodiment of the present invention is provided is detected in electronic pen, sensor information acquisition module
The concrete structure schematic diagram of transducing signal collecting unit；
Fig. 3 shows that the sensor that the embodiment of the present invention is provided is detected in electronic pen, the specific knot of wireless transmission unit
Structure schematic diagram；
Fig. 4 shows the structural representation for the sensor detecting system that the embodiment of the present invention is provided.
Icon：100- electronic pen bodies；102- processing modules；104- display modules；106- memory modules；108- sensors
Data obtaining module；200- transducing signal detecting heads；202- signal amplifiers；204- AD conversion units；206- calibrates circuit；
208- single-chip microcomputers；300- mobile communication baseband processing chips；302- analog-to-digital conversion modules；304- mobile communication radio frequency chips；
306- mobile communication antennas；400- sensors detect electronic pen；402- servers.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
Middle accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
It is a part of embodiment of the invention, rather than whole embodiments.The present invention being generally described and illustrated herein in the accompanying drawings is real
Applying the component of example can be arranged and be designed with a variety of configurations.Therefore, it is of the invention to what is provided in the accompanying drawings below
The detailed description of embodiment is not intended to limit the scope of claimed invention, but is merely representative of the selected reality of the present invention
Apply example.Based on embodiments of the invention, the institute that those skilled in the art are obtained on the premise of creative work is not made
There is other embodiment, belong to the scope of protection of the invention.
At present, the detection to sensor function generally requires to pull down and be sent to manufacturer to have come sensor to be detected
Detected and judged into detection, or at the scene by means of relatively more bulky equipment and using more step；Cause detection
The costs such as inefficiency, time and expense are higher, Consumer's Experience is poor, can not discovery sensor in time function problem.It is based on
This, a kind of sensor detection electronic pen and system that the application is provided.
It should be noted that in the description of the invention, term " " center ", " on ", " under ", "left", "right", " vertical ",
The orientation or position relationship of the instruction such as " level ", " interior ", " outer " be based on orientation shown in the drawings or position relationship, merely to
Be easy to the description present invention and simplify description, rather than indicate or imply signified device or element must have specific orientation,
With specific azimuth configuration and operation, therefore it is not considered as limiting the invention.In addition, term " first ", " second ",
" the 3rd " is only used for describing purpose, and it is not intended that indicating or implying relative importance.
In addition, in the description of the invention, unless otherwise clearly defined and limited, term " installation ", " connected ", " company
Connect " it should be interpreted broadly, for example, it may be being fixedly connected or being detachably connected, or it is integrally connected；It can be machine
Tool is connected or electrically connected；Can be joined directly together, can also be indirectly connected to by intermediary, can be two members
Connection inside part.For the ordinary skill in the art, above-mentioned term can be understood in the present invention with concrete condition
Concrete meaning.
Embodiment
As shown in figure 1, the present embodiment proposes a kind of sensor detection electronic pen, including：Electronic pen body 100, processing mould
Block 102, display module 104, memory module 106 and sensor information acquisition module 108；
Above-mentioned processing module 102, above-mentioned display module 104, above-mentioned memory module 106 and the sensor acquisition of information mould
Block 108 is arranged inside above-mentioned electronic pen body 100；
Above-mentioned processing module 102, respectively with above-mentioned display module 104, above-mentioned memory module 106 and the sensor information
Acquisition module 108 is connected；
The sensor data obtaining module 108, including the camera being connected with above-mentioned processing module 102, above-mentioned shooting
Head is arranged on the pen tip position of above-mentioned electronic pen body 100；
The sensor data obtaining module 108, obtains sensor information, and will obtain for the camera by setting
To sensor information be sent to above-mentioned processing module 102；
Above-mentioned processing module 102, the sensor information for receiving the transmission of the sensor data obtaining module 108, leads to
Cross the sensor information that receives of processing to detect sensor, obtain the testing result of sensor, and by the inspection of sensor
Survey result storage and arrive above-mentioned memory module 106；Wherein, the testing result of sensor includes qualified and unqualified；When above-mentioned processing
When module 102 determines that the testing result of sensor is unqualified, above-mentioned display module 104 is controlled to send default first color of light；
When above-mentioned processing module 102 determines that the result of sensor is qualified, above-mentioned display module 104 is controlled to send default second
Color of light；Above-mentioned first color of light and above-mentioned second color of light are different colours light；
Above-mentioned memory module 106, for storing the testing result that above-mentioned processing module 102 is sent；
Above-mentioned display module 104, for sending default above-mentioned first color of light according to the control of above-mentioned processing module 102
Or above-mentioned second color of light.
Wherein, memory module 106, the sensor list that is also stored with, the initial installation diagram picture of sensor and sensor abnormality number
According to list.
Recorded in the sensor list the sensor identification of the sensor of detection in need, sensor detection time and on
State the testing result of sensor detection time lower sensor.
The sensor abnormal data list, includes the corresponding relation of sensor identification and abnormal data scope.
The sensor detects electronic pen, in addition to secondary cell (not shown in figure 1), the secondary cell respectively with processing
Module 102, display module 104, memory module 106 and sensor information acquisition module 108 are connected, for processing module 102,
Display module 104, memory module 106 and sensor information acquisition module 108 are powered, and sensor is detected that electronic pen can be with
Normal work.
Above-mentioned first color of light and above-mentioned second color of light are two kinds of color of light with very big difference, such as the first color
Just during red light, the second color of light is green light.
In summary, the sensor detection electronic pen that the present embodiment is provided, by with sensor information acquisition module
Sensor detection electronic pen detects to sensor, and the detection of sensor function is generally required in correlation technique will be to be checked
The sensor of survey is pulled down and is sent to manufacturer to complete detection, or at the scene by means of relatively more bulky equipment and using more
The step of detected and judge to compare, sensor detection electronic pen low-profile, it is easy to carry can be in working sensor
Scene is detected to sensor, the problem of so as to timely discovery sensor, is substantially increased detection efficiency, is shortened inspection
Survey time and testing cost, Consumer's Experience are good.
Specifically, when user carries out sensor test using sensor detection electronic pen, the sensor acquisition of information
Module, specifically for performing following steps：
(1) by default pattern in 2 D code in the scanning of above-mentioned camera and identification sensor, above-mentioned Quick Response Code figure is obtained
The corresponding sensor identification of case；
(2) the sensor mark is sent to processing module so that whether above-mentioned processing module is needed to above-mentioned sensing
Device identifies corresponding sensor and detected；
(3) when receiving the image capture instruction that above-mentioned processing module is sent, above-mentioned biography is gathered by above-mentioned camera
The sensor detection image of sensor；
(4) the sensor detection image is sent to above-mentioned processing module；
Wherein, the sensor is provided with data transmission interface, above-mentioned data transmission interface, for passing through electrical cable
Road is connected with the sensor data obtaining module, the sensor data obtaining module is collected the sensing of the sensor
Data.
Above-mentioned data transmission interface is plug and play interface, and user can be before detecting by sensor information to sensor
Acquisition module is connected with sensor, preceding in detection process can also be connected sensor information acquisition module with sensor.All
The function of the sensing data of sensor information acquisition module collection the sensor can be realized.
When receiving the sensor identification of the sensor data obtaining module transmission, above-mentioned processing module is specific to use
In execution following steps：
(1) the sensor list prestored is obtained from above-mentioned memory module, inspection in need is recorded in the sensor list
The testing result of the sensor identification of the sensor of survey, the last detection time and the last detection time lower sensor；
(2) the last detection time that the sensor identifies respective sensor is obtained from the sensor list；
(3) current temporal information is obtained from above-mentioned processing module；
(4) when it is determined that the time interval of the above-mentioned temporal information got and above-mentioned the last detection time reach it is default
Detection time length when, to above-mentioned sensor information acquisition module send image capture instruction.
In above-mentioned steps (4), processing module is sending image capture instruction to above-mentioned sensor information acquisition module
Meanwhile, the last detection time for identifying respective sensor to the sensor by current temporal information is updated.
When receiving the sensor detection image of the sensor data obtaining module transmission, above-mentioned processing module, tool
Body is used to perform following steps：
(1) the initial installation diagram picture of the sensor prestored is inquired from above-mentioned memory module；
(2) the sensor detection image is respectively divided into multiple images region；
(3) from multiple above-mentioned image-regions, select k image-region to be spliced respectively, obtain multiple detections
Subgraph, wherein, multiple above-mentioned image-regions are averagely divided and obtained from top to bottom by the sensor detection image,M represents the figure that the sensor detection image is divided
As region quantity；
(4) deep learning is carried out to the obtained initial installation diagram picture of above-mentioned multiple detection subgraphs and the sensor,
Obtain the feature difference figure of the sensor detection image and the initial installation diagram picture of the sensor；
(5) deep learning is carried out to obtained each feature difference figure, obtains the corresponding inspection of each features described above differential chart
Survey the similar parameter of subgraph and the initial installation diagram picture of the sensor；
(6) determine maximum similar parameter as the sensor detection image and the initial installation diagram of the sensor as
Similarity；
(7) when above-mentioned similarity is more than or equal to the similarity threshold of setting, the sensor detection image is obtained and upper
The initial installation diagram of sensor is stated as similar comparing result, it is dissimilar that above-mentioned comparing result includes phase Sihe；
(8) when the comparing result for obtaining the sensor detection image and the initial installation diagram picture dissmilarity of the sensor
When, it is determined that detected sensor appearance damage, obtains detecting underproof result；
(9) above-mentioned display module is controlled to send above-mentioned first color of light.
In above-mentioned steps (1), the initial installation diagram picture of sensor, user when just installing and start working for the sensor
Captured sensor image, processing module passes through the initial installation diagram picture of the sensor, it can be determined that the outward appearance of current sensor
Whether it is damaged.
The above-mentioned processing module of above-mentioned steps (4) description is to obtained above-mentioned multiple detection subgraphs and the sensor
Initial installation diagram picture carries out deep learning, obtains the feature of the sensor detection image and the initial installation diagram picture of the sensor
Differential chart, including step in detail below：
(41) deep learning is carried out to multiple above-mentioned initial installation diagram pictures of detection subgraph and the sensor, obtains multiple
First sensor characteristics of image figure and second sensor characteristics of image figure；
(42) value regional center is characterized with each pixel point coordinates stored in default pixel coordinate set, according to pre-
If characteristic value area size, current first sensor characteristics of image figure and above-mentioned second sensor characteristics of image figure are drawn respectively
It is divided into multiple the First Eigenvalue regions and multiple Second Eigenvalue regions；
(43) feature is obtained respectively most from above-mentioned multiple the First Eigenvalue regions and above-mentioned multiple Second Eigenvalue regions
Big value；
(44) calculate respectively from the First Eigenvalue region and Second Eigenvalue region with same characteristic features value regional center
The difference of the profile maxima of middle acquisition, obtains multiple feature differences；
(45) using above-mentioned multiple feature differences as pixel value, according to default feature difference figure size, generate above-mentioned current
The feature difference figure of first sensor characteristics of image figure and second sensor characteristics of image figure.
The above-mentioned processing module of above-mentioned steps (41) description is initially pacified to multiple above-mentioned detection subgraphs and the sensor
Fill image and carry out deep learning, obtain multiple first sensor characteristics of image figures and second sensor characteristics of image figure, including with
Lower specific steps：
(410) deep learning is carried out to obtained detection subgraph from convolutional neural networks by first, obtained on multiple
State first sensor characteristics of image figure；
(411) the initial installation diagram picture of any sensor selected from image library is entered from convolutional neural networks by second
Row deep learning, obtains above-mentioned second sensor characteristics of image figure, wherein, above-mentioned second from convolutional neural networks and above-mentioned first
Structure from convolutional neural networks is identical.
The structure of transducing signal collecting unit shown in Figure 2, in the present embodiment, in order to gather sensing data, on
Stating sensor information acquisition module also includes：Transducing signal collecting unit；
Above-mentioned transducing signal collecting unit, including：Transducing signal detecting head 200, signal amplifier 202, analog-to-digital conversion list
Member 204, calibration circuit 206 and single-chip microcomputer 208；
Above-mentioned signal amplifier 202 is electric with above-mentioned transducing signal detecting head 200, AD conversion unit 204 and calibration respectively
Road 206 is connected；Above-mentioned AD conversion unit 204 and above-mentioned single-chip microcomputer 208 are connected；Above-mentioned single-chip microcomputer 208 and above-mentioned processing module
Connection；
Above-mentioned transducing signal detecting head 200, is connected by the above-mentioned data transmission interface of electrical connection circuit and sensor；
Above-mentioned transducing signal detecting head 200, for the data acquisition instructions sent according to above-mentioned processing module, obtains sensing
The transducing signal that device is sent, and the transducing signal got is sent to above-mentioned signal amplifier 202；
Above-mentioned signal amplifier 202, for being amplified to the above-mentioned transducing signal received, is then communicated to above-mentioned mould
Number converting unit 204；
Above-mentioned calibration circuit 206, for being verified to the above-mentioned transducing signal that above-mentioned signal amplifier 202 is received；
Above-mentioned AD conversion unit 204, turns for carrying out analog-to-digital conversion to the above-mentioned transducing signal after amplification, and by modulus
Above-mentioned transducing signal after changing is sent to above-mentioned single-chip microcomputer 208；
Above-mentioned single-chip microcomputer 208, it is above-mentioned to be used to handle the above-mentioned transducing signal received, obtain above-mentioned transducing signal
Corresponding above-mentioned sensing data, and obtained above-mentioned sensing data is sent to above-mentioned processing module.
Further, above-mentioned processing module, is additionally operable to perform following steps：
(1) when obtaining the sensor detection image and the initial installation diagram of the sensor as similar comparing result,
It is determined that detected sensor well-tended appearance, and data acquisition instructions are sent to above-mentioned transducing signal collecting unit, make above-mentioned biography
Feel signal gathering unit collection sensing data；
(2) sensing data that above-mentioned transducing signal collecting unit is collected is received；
(3) the acquisition sensor abnormality data list from above-mentioned memory module, the sensor abnormal data list, including
The corresponding relation of sensor identification and abnormal data scope；
(4) according to the sensor mark received, above-mentioned sensing is obtained from the sensor abnormal data list
Device identifies corresponding abnormal data scope；
(5) judge that the above-mentioned sensing data received whether in the range of default abnormal data, if it is performs step
Suddenly (6), if otherwise performing step (7)；
(6) determine that sensor detection is qualified, control above-mentioned display module to send above-mentioned second color of light；
(7) determine that sensor detection is unqualified, control above-mentioned display module to send above-mentioned first color of light.
In order that sensor detection electronic pen carries out data interaction with outside server, as shown in figure 3, the present embodiment is carried
The sensor detection electronic pen gone out also includes：Wireless transmission unit；
Above-mentioned wireless transmission unit includes：Mobile communication baseband processing chip 300, the analog-to-digital conversion module being sequentially connected
302nd, mobile communication radio frequency chip 304 and mobile communication antenna 306；Above-mentioned mobile communication baseband processing chip 300 also with it is above-mentioned
Processing module is connected；
Above-mentioned mobile communication baseband processing chip 300, for being modulated processing to above-mentioned sensing data, will carry out adjusting
Above-mentioned sensing data after system processing is sent to above-mentioned analog-to-digital conversion module 302, the above-mentioned sensing data after modulation, mobile logical
It is transmitted in communication network；
Above-mentioned analog-to-digital conversion module 302, for carrying out digital-to-analogue conversion to above-mentioned sensing data, and digital-to-analogue conversion is finished
Above-mentioned sensing data is sent to above-mentioned mobile communication radio frequency chip 304；
Above-mentioned mobile communication radio frequency chip 304, the above-mentioned sensing data for digital-to-analogue conversion to be finished passes through mobile communication
Antenna 306 is sent to server so that above-mentioned server, and above-mentioned sensing data is received by mobile communications network.
Referring to Fig. 4, the present embodiment provides a kind of sensor detecting system, including above-mentioned sensor detection electronic pen 400
And detect the server 402 that electronic pen 400 is interacted with the sensor.
In summary, the sensor detecting system that the present embodiment is provided, passes through the biography with sensor information acquisition module
Sensor detection electronic pen detects to sensor, and the detection of sensor function is generally required in correlation technique will be to be detected
Sensor pull down and be sent to manufacturer to complete detection, or at the scene by means of relatively bulky equipment and using more
Step detected and judges to compare, and sensor detection electronic pen low-profile, it is easy to carry can be existing in working sensor
Sensor is detected, the problem of so as to timely discovery sensor, substantially increase detection efficiency, shorten detection
Time and testing cost, Consumer's Experience are good.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any
Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, should all be contained
Cover within protection scope of the present invention.Therefore, protection scope of the present invention described should be defined by scope of the claims.
Claims (10)
1. a kind of sensor detects electronic pen, it is characterised in that including：Electronic pen body, processing module, display module, storage
Module and sensor information acquisition module；
The processing module, the display module, the memory module and the sensor information acquisition module are arranged at institute
State electronic pen body interior；
The processing module, is connected with the display module, the memory module and the sensor information acquisition module respectively；
The sensor information acquisition module, including the camera being connected with the processing module, the camera are arranged on institute
State the pen tip position of electronic pen body；
The sensor information acquisition module, for obtaining sensor information by the camera of setting, and by the biography got
Sensor information is sent to the processing module；
The processing module, for receiving the sensor information that the sensor information acquisition module is sent, is received by handling
To sensor information sensor is detected, obtain the testing result of sensor, and the testing result of sensor is stored
To the memory module；Wherein, the testing result of sensor includes qualified and unqualified；When the processing module determines sensor
Testing result it is unqualified when, control the display module to send default first color of light；When the processing module determines to pass
When the result of sensor is qualified, the display module is controlled to send default second color of light；First color of light and institute
The second color of light is stated for different colours light；
The memory module, for storing the testing result that the processing module is sent；
The display module, for sending default first color of light or described according to the control of the processing module
Second colors light.
2. sensor according to claim 1 detects electronic pen, it is characterised in that the sensor information acquisition module,
Specifically for：
By default pattern in 2 D code in camera scanning and identification sensor, the pattern in 2 D code is obtained corresponding
Sensor identification；
The sensor identification is sent to processing module so that whether the processing module is needed to the sensor identification pair
The sensor answered is detected；
When receiving the image capture instruction that the processing module is sent, the biography of the sensor is gathered by the camera
Sensor detection image；
The sensor detection image is sent to the processing module；
Wherein, the sensor is provided with data transmission interface, the data transmission interface, for by electrical connection circuit with
The sensor information acquisition module connection, makes the sensor information acquisition module collect the sensing number of the sensor
According to.
3. sensor according to claim 2 detects electronic pen, it is characterised in that obtained when receiving the sensor information
During the sensor identification that modulus block is sent, the processing module, specifically for：
The sensor list prestored is obtained from the memory module, the sensing of detection in need is recorded in the sensor list
The testing result of the sensor identification of device, the last detection time and the last detection time lower sensor；
The last detection time of the sensor identification respective sensor is obtained from the sensor list；
Current temporal information is obtained from the processing module；
When it is determined that the time interval of the temporal information got and the last detection time reaches default detection
During time span, image capture instruction is sent to the sensor information acquisition module.
4. sensor according to claim 2 detects electronic pen, it is characterised in that obtained when receiving the sensor information
During the sensor detection image that modulus block is sent, the processing module, specifically for：
The initial installation diagram picture of the sensor prestored is inquired from the memory module；
The sensor detection image is respectively divided into multiple images region；
From multiple described image regions, select k image-region to be spliced respectively, obtain multiple detection subgraphs
Picture, wherein, multiple described image regions are averagely divided and obtained from top to bottom by the sensor detection image,M represents the figure that the sensor detection image is divided
As region quantity；
Deep learning is carried out to obtained the multiple detection subgraph and the initial installation diagram picture of the sensor, obtains described
The feature difference figure of sensor detection image and the initial installation diagram picture of the sensor；
Deep learning is carried out to obtained each feature difference figure, the corresponding detection subgraph of each feature difference figure is obtained
With the similar parameter of the initial installation diagram picture of the sensor；
It is determined that maximum similar parameter is used as the sensor detection image and the similarity of the initial installation diagram picture of the sensor；
When the similarity is more than or equal to the similarity threshold of setting, the sensor detection image and the sensor are obtained
Initial installation diagram is as similar comparing result, and it is dissimilar that the comparing result includes phase Sihe；
When obtaining the comparing result of the sensor detection image and the initial installation diagram picture dissmilarity of the sensor, it is determined that quilt
The sensor appearance damage of detection, obtains detecting underproof result；
The display module is controlled to send first color of light.
5. sensor according to claim 4 detects electronic pen, it is characterised in that the processing module is to described in obtaining
Multiple detection subgraphs and the initial installation diagram picture of the sensor carry out deep learning, obtain the sensor detection image and
The feature difference figure of the initial installation diagram picture of sensor, including：
Deep learning is carried out to multiple detection subgraphs and the initial installation diagram picture of the sensor, multiple first sensings are obtained
Device characteristics of image figure and second sensor characteristics of image figure；
Value regional center is characterized with each pixel point coordinates stored in default pixel coordinate set, according to default feature
It is worth area size, is respectively divided into current first sensor characteristics of image figure and the second sensor characteristics of image figure multiple
The First Eigenvalue region and multiple Second Eigenvalue regions；
Profile maxima is obtained respectively from the multiple the First Eigenvalue region and the multiple Second Eigenvalue region；
Calculate what is obtained respectively from the First Eigenvalue region and Second Eigenvalue region with same characteristic features value regional center
The difference of profile maxima, obtains multiple feature differences；
Using the multiple feature difference as pixel value, according to default feature difference figure size, current first sensing is generated
The feature difference figure of device characteristics of image figure and second sensor characteristics of image figure.
6. sensor according to claim 5 detects electronic pen, it is characterised in that the processing module is to multiple inspections
Survey subgraph and the initial installation diagram picture of the sensor carries out deep learning, obtain multiple first sensor characteristics of image figures and the
Two sensor image characteristic patterns, including：
Deep learning is carried out to obtained detection subgraph from convolutional neural networks by first, multiple first sensings are obtained
Device characteristics of image figure；
Depth is carried out to the initial installation diagram picture of any sensor selected from image library from convolutional neural networks by second
Practise, obtain the second sensor characteristics of image figure, wherein, described second is refreshing from convolutional neural networks and described first from convolution
Structure through network is identical.
7. sensor according to claim 4 detects electronic pen, it is characterised in that the sensor information acquisition module is also
Including：Transducing signal collecting unit；
The transducing signal collecting unit, including：Transducing signal detecting head, signal amplifier, AD conversion unit, calibration circuit
And single-chip microcomputer；
The signal amplifier is connected with the transducing signal detecting head, AD conversion unit and calibration circuit respectively；The mould
Number converting unit and single-chip microcomputer connection；The single-chip microcomputer and processing module connection；The transducing signal detecting head, leads to
The data transmission interface for crossing electrical connection circuit and sensor is connected；
The transducing signal detecting head, for the data acquisition instructions sent according to the processing module, obtains sensor and sends
Transducing signal, and the transducing signal got is sent to the signal amplifier；
The signal amplifier, for being amplified to the transducing signal received, is then communicated to the analog-to-digital conversion
Unit；
The calibration circuit, for being verified to the transducing signal that the signal amplifier is received；
The AD conversion unit, for carrying out analog-to-digital conversion to the transducing signal after amplification, and by after analog-to-digital conversion
The transducing signal is sent to the single-chip microcomputer；
The single-chip microcomputer, it is described to be used to handle the transducing signal received, obtain the transducing signal corresponding
The sensing data, and the obtained sensing data is sent to the processing module.
8. sensor according to claim 7 detects electronic pen, it is characterised in that the processing module, it is additionally operable to：
When obtaining the sensor detection image and the initial installation diagram of the sensor as similar comparing result, it is determined that tested
The sensor well-tended appearance of survey, and data acquisition instructions are sent to the transducing signal collecting unit, adopt the transducing signal
Collect unit collection sensing data；
Receive the sensing data that the transducing signal collecting unit is collected；
Sensor abnormality data list, the sensor abnormality data list, including sensor are obtained from the memory module
The corresponding relation of mark and abnormal data scope；
According to the sensor identification received, the sensor identification pair is obtained from the sensor abnormality data list
The abnormal data scope answered；
Judge the sensing data received whether in the range of default abnormal data；
If it is, determining that sensor detection is qualified, the display module is controlled to send second color of light；
If it is not, then determining that sensor detection is unqualified, the display module is controlled to send first color of light.
9. sensor according to claim 2 detects electronic pen, it is characterised in that also include：Wireless transmission unit；
The wireless transmission unit includes：The mobile communication baseband processing chip that is sequentially connected, analog-to-digital conversion module, mobile communication
Radio frequency chip and mobile communication antenna；The mobile communication baseband processing chip is also connected with the processing module；
The mobile communication baseband processing chip, for being modulated processing to the sensing data, will carry out modulation treatment
The sensing data afterwards is sent to the analog-to-digital conversion module, the sensing data after modulation, in the mobile communication network
It is transmitted；
The analog-to-digital conversion module, for carrying out digital-to-analogue conversion, and the biography that digital-to-analogue conversion is finished to the sensing data
Sense data are sent to the mobile communication radio frequency chip；
The mobile communication radio frequency chip, the sensing data for digital-to-analogue conversion to be finished is sent by mobile communication antenna
To server so that the server, the sensing data is received by mobile communications network.
10. a kind of sensor detecting system, it is characterised in that detect electricity including the sensor described in claim any one of 1-9
Sub- pen and the server interacted with sensor detection electronic pen.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710245544.8A CN107014420A (en) | 2017-04-14 | 2017-04-14 | A kind of sensor detection electronic pen and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710245544.8A CN107014420A (en) | 2017-04-14 | 2017-04-14 | A kind of sensor detection electronic pen and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107014420A true CN107014420A (en) | 2017-08-04 |
Family
ID=59446972
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710245544.8A Pending CN107014420A (en) | 2017-04-14 | 2017-04-14 | A kind of sensor detection electronic pen and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107014420A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110346516A (en) * | 2019-07-19 | 2019-10-18 | 精英数智科技股份有限公司 | Fault detection method and device, storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008017246A (en) * | 2006-07-07 | 2008-01-24 | Fujifilm Corp | Inspecting method and device for solid imaging device |
| CN201188045Y (en) * | 2008-03-03 | 2009-01-28 | 中冶赛迪工程技术股份有限公司 | Portable apparatus for rapidly detecting a plurality of sensors |
| CN101738401A (en) * | 2008-11-11 | 2010-06-16 | 奥林巴斯株式会社 | Defect inspection device and defect inspection method |
| CN202058035U (en) * | 2011-01-27 | 2011-11-30 | 西北工业大学 | A temperature-sensitive thermal actuator detection device |
| US20130147989A1 (en) * | 2011-12-13 | 2013-06-13 | Lg Innotek Co., Ltd. | Camera module and method for inspecting horizontality of object and the camera module |
| CN103575460A (en) * | 2013-10-25 | 2014-02-12 | 北京中科泛华测控技术有限公司 | Sensor checking system and method |
| CN105243395A (en) * | 2015-11-04 | 2016-01-13 | 东方网力科技股份有限公司 | Human body image comparison method and device |
| CN205263828U (en) * | 2015-12-26 | 2016-05-25 | 上海华驰印刷有限公司 | Qualified detection device of hand -held type printed matter label |
| CN105600635A (en) * | 2016-02-25 | 2016-05-25 | 永大电梯设备（中国）有限公司 | Elevator brake force detecting method |
| CN105651861A (en) * | 2016-03-22 | 2016-06-08 | 华南理工大学 | CPU radiator detection system based on sensor fusion |
-
2017
- 2017-04-14 CN CN201710245544.8A patent/CN107014420A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008017246A (en) * | 2006-07-07 | 2008-01-24 | Fujifilm Corp | Inspecting method and device for solid imaging device |
| CN201188045Y (en) * | 2008-03-03 | 2009-01-28 | 中冶赛迪工程技术股份有限公司 | Portable apparatus for rapidly detecting a plurality of sensors |
| CN101738401A (en) * | 2008-11-11 | 2010-06-16 | 奥林巴斯株式会社 | Defect inspection device and defect inspection method |
| CN202058035U (en) * | 2011-01-27 | 2011-11-30 | 西北工业大学 | A temperature-sensitive thermal actuator detection device |
| US20130147989A1 (en) * | 2011-12-13 | 2013-06-13 | Lg Innotek Co., Ltd. | Camera module and method for inspecting horizontality of object and the camera module |
| CN103575460A (en) * | 2013-10-25 | 2014-02-12 | 北京中科泛华测控技术有限公司 | Sensor checking system and method |
| CN105243395A (en) * | 2015-11-04 | 2016-01-13 | 东方网力科技股份有限公司 | Human body image comparison method and device |
| CN205263828U (en) * | 2015-12-26 | 2016-05-25 | 上海华驰印刷有限公司 | Qualified detection device of hand -held type printed matter label |
| CN105600635A (en) * | 2016-02-25 | 2016-05-25 | 永大电梯设备（中国）有限公司 | Elevator brake force detecting method |
| CN105651861A (en) * | 2016-03-22 | 2016-06-08 | 华南理工大学 | CPU radiator detection system based on sensor fusion |
Non-Patent Citations (1)
| Title |
|---|
| QSJCZX123: "传感器、报警仪检验工作流程", 《HTTPS://WENKU.BAIDU.COM/VIEW/BED6AFAED1F34693DAEF3E39.HTML》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110346516A (en) * | 2019-07-19 | 2019-10-18 | 精英数智科技股份有限公司 | Fault detection method and device, storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113023293B (en) | Inspection method, device, equipment and system of belt conveyor | |
| CN104240324A (en) | Routing inspection method, handheld routing inspection terminal and routing inspection server | |
| CN106372662A (en) | Helmet wearing detection method and device, camera, and server | |
| CN104914845B (en) | A kind of car body controller fault testing method and system based on industrial personal computer | |
| CN208520404U (en) | A kind of intelligent inspection system | |
| CN202838371U (en) | System for identity recognition and working state judgment/state information acquisition of underground facilities | |
| CN107294621B (en) | The method and system of Humidity Detection based on wireless aware | |
| CN108303140A (en) | A kind of environment online test method | |
| CN103398781A (en) | Temperature detection device for electric equipment | |
| CN108418867A (en) | A kind of method of environmental monitoring preventing human interference | |
| CN108489536A (en) | A kind of environment online test method | |
| CN108303141A (en) | A kind of city environmental quality monitoring system | |
| CN108109132A (en) | A kind of image analysis method and device | |
| CN107579787A (en) | The Wifi performances automatic testing method and storage medium of a kind of machine, equipment | |
| CN105631878A (en) | Board card error detection method and system | |
| CN108344446A (en) | A kind of method of environmental monitoring preventing human interference | |
| CN108414008A (en) | A kind of city environmental quality monitoring system | |
| CN107014420A (en) | A kind of sensor detection electronic pen and system | |
| CN115086801A (en) | Wearable distribution network intelligent inspection system and method based on portable computing terminal | |
| CN106032994B (en) | A kind of sensor function detection method and equipment | |
| CN206740738U (en) | Multi-parameter gas detection means based on unmanned plane | |
| CN111561968A (en) | Sensor-based environmental parameter detection method and device and data processing equipment | |
| CN117237832A (en) | Bridge vibration mode identification method, unmanned aerial vehicle and computer readable storage medium | |
| CN212228121U (en) | Separated Internet of things data collaborative acquisition system | |
| CN204790560U (en) | Car intelligence diagnosis positioning device based on OBD -II interface |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170804 |
|
| RJ01 | Rejection of invention patent application after publication |