CN108491871A - Method and its system for detection zone occupancy situation - Google Patents
Method and its system for detection zone occupancy situation Download PDFInfo
- Publication number
- CN108491871A CN108491871A CN201810210773.0A CN201810210773A CN108491871A CN 108491871 A CN108491871 A CN 108491871A CN 201810210773 A CN201810210773 A CN 201810210773A CN 108491871 A CN108491871 A CN 108491871A
- Authority
- CN
- China
- Prior art keywords
- data
- detection
- module
- output
- detection data
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/251—Fusion techniques of input or preprocessed data
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V8/00—Prospecting or detecting by optical means
- G01V8/10—Detecting, e.g. by using light barriers
Abstract
The present invention relates to the method and its system for detection zone occupancy situation, this method includes the multiple detection datas obtained in region；Detection data is pre-processed；Calculation processing is carried out to each pretreated detection data, obtains output data；Output data is merged, integrated value is formed；Region occupancy situation is obtained according to integrated value, and is reported.The present invention carries out the dynamic detection of object in region by using multi-infrared sensor cooperation Fresnel Lenses, the static detection of object in region is carried out using thermopile array sensor, pretreatment and fusion treatment are carried out to obtaining dynamic detection data and static detection data, obtain integrated value, region occupancy situation is confirmed by integrated value, and by way of wireless network transmissions, it is uploaded to background server, carry out subsequent notice or other operations, realize the object detection of the static human and minor motion in region, improve Detection accuracy, and the mode of wireless network transmissions, it may make construction is simple.
Description
Technical field
The present invention relates to field of locating technology, more specifically refer to the method for detection zone occupancy situation and its are
System.
Background technology
With enterprise personnel increase and the rise for rent of handling official business, meeting room become a company scarce resource.For
The service efficiency of meeting room is improved, understands meeting room use state in real time, many enterprises are sought for that meeting can be detected
Room scheme whether currently in use.
The method of existing detection zone occupancy situation mostly develops from safety-security area, uses pyroelectric infrared sensor pair
The mobile detection of human body to determine whether occupying, infrared combination ultrasound that some foreign brand names use is double reflect by the way of realize,
But both modes all rely on the movement of human body, have certain limitation, for meeting static or that action is smaller
State has prodigious probabilistic determination mistake.Moreover, because currently existing scheme is all from safety-security area equipment modification, base
This is all by the way of wire communication, and for the transformation with existing meeting room, construction period is a prodigious pain spot for this,
And by the way of terminal device combination trunking and middle control host, once control device breaks down, it may appear that large quantities of ends
End equipment can not normal use the case where.
Therefore, it is necessary to design a kind of method of detection zone occupancy situation, static human in region and small is realized
The object detection of action improves Detection accuracy, and construction is simple.
Invention content
It is an object of the invention to overcome the deficiencies of existing technologies, provide for detection zone occupancy situation method and its
System.
To achieve the above object, the present invention uses following technical scheme：It is described for the method for detection zone occupancy situation
Method includes：
Obtain multiple detection datas in region；
Detection data is pre-processed；
Calculation processing is carried out to each pretreated detection data, obtains output data；
Output data is merged, integrated value is formed；
Region occupancy situation is obtained according to integrated value, and is reported.
Its further technical solution is：The step of obtaining multiple detection datas in region, the detection data include more
The static detection data that the dynamic detection data and thermopile array sensor that first infrared sensor obtains obtain.
Its further technical solution is：Pretreated step, including step in detail below are carried out to detection data：
Judge whether the detection data is dynamic detection data；
If so, carrying out voltage conversion, high frequency denoising to dynamic detection data and comparing, voltage data is formed；
If it is not, then carrying out current signal amplification, filtering and conversion to static detection data, temperature data is formed.
Its further technical solution is：Calculation processing is carried out to each pretreated detection data, obtains output data
The step of, including step in detail below：
Judge whether pretreated detection data is voltage data；
If pretreated detection data is voltage data, continuous sampling is carried out to pretreated detection data；
Judge whether the voltage data of sampling is 1；
If so, useful signal, which counts, adds one, and enter next step, if it is not, then entering next step；
Judge whether measurement period terminates；
If it is not, then returning to described the step of carrying out continuous sampling to voltage data；
If so, judging whether the counting of useful signal is more than threshold value；
If so, output one, forms output data；
If it is not, then exporting zero, output data is formed；
If pretreated detection data is not voltage data, continuous sampling is carried out to pretreated detection data；
Iir filter calculating is carried out to sampled data, obtains result of calculation；
Belonged to section is obtained according to result of calculation；
Judge whether section and preceding primary output result are consistent；
If so, output one, forms output data；
If it is not, then exporting zero, output data is formed.
Its further technical solution is：The step of merging output data, forming integrated value, including step in detail below：
Assign output data time weighting coefficient；
Output data is arranged in order into and is lined up；
Whether judgement lines up to have expired；
Output data is arranged in order into the step of lining up if it is not, then returning；
If so, output data is multiplied with time weighting system, and cumulative summation, form integrated value.
Its further technical solution is：Region occupancy situation, and the step of reporting, including following tool are obtained according to integrated value
Body step：
Judge whether integrated value is more than the threshold value set；
If so, region is occupied, and the occupied information in encryption section, report to server；
If it is not, then region is unoccupied, and the unappropriated information in encryption section, report to server.
The present invention also provides the system for detection zone occupancy situation, including data capture unit, pretreatment unit,
Computing unit, integrated unit and occupancy situation acquiring unit；
The data capture unit, for obtaining multiple detection datas in region；
The pretreatment unit, for being pre-processed to detection data；
The computing unit obtains output data for carrying out calculation processing to each pretreated detection data；
The integrated unit forms integrated value for merging output data；
The occupancy situation acquiring unit for obtaining region occupancy situation according to integrated value, and reports.
Its further technical solution is：The pretreatment unit includes data judgment module, voltage processing module and electricity
Stream process module；
The data judgment module, for judging whether the detection data is dynamic detection data；
The voltage processing module is used for if so, carrying out voltage conversion, high frequency denoising and ratio to dynamic detection data
Compared with formation voltage data；
The current processing module is used for if it is not, then carrying out current signal amplification, filtering to static detection data and turning
It changes, forms temperature data.
Its further technical solution is：The computing unit includes processing data judgment module, the first sampling module, voltage
Data judgment module, period judgment module count judgment module, the second sampling module, filtering computing module, section acquisition module
And interval judgement module；
The processing data judgment module, for judging whether pretreated detection data is voltage data；
First sampling module, if being voltage data for pretreated detection data, to pretreated inspection
Measured data carries out continuous sampling；
The voltage data judgment module, for judging whether the voltage data of sampling is 1, if so, useful signal meter
Number plus one；
The period judgment module, for judging whether measurement period terminates；
The counting judgment module is used for if so, judging whether the counting of useful signal is more than threshold value；If so, defeated
Go out one, forms output data；If it is not, then exporting zero, output data is formed；
Second sampling module, if being not voltage data for pretreated detection data, to pretreated
Detection data carries out continuous sampling；
The filtering computing module obtains result of calculation for carrying out iir filter calculating to sampled data；
The section acquisition module, for obtaining belonged to section according to result of calculation；
The interval judgement module, for judging whether section and preceding primary output result are consistent；If so, output one,
Form output data；If it is not, then exporting zero, output data is formed.
Its further technical solution is：The integrated unit includes coefficient assignment module, arrangement module, queue judgment module
And computing module；
The coefficient assignment module, for assigning output data time weighting coefficient；
The arrangement module, lines up for output data to be arranged in order into；
The queue judgment module, for judging line up whether to have expired；
The computing module is used for if so, output data is multiplied with time weighting system, and cumulative summation, formation are comprehensive
Conjunction value.
Compared with the prior art, the invention has the advantages that：The method for detection zone occupancy situation of the present invention,
The dynamic detection that object in region is carried out by using multi-infrared sensor cooperation Fresnel Lenses, is passed using thermopile array
Sensor carries out the static detection of object in region, and acquisition dynamic detection data and static detection data are pre-processed and melted
Conjunction is handled, and obtains integrated value, region occupancy situation is confirmed by integrated value, and by way of wireless network transmissions, after being uploaded to
Platform server carries out subsequent notice or other operations, realizes the object detection of the static human and minor motion in region,
Detection accuracy, and the mode of wireless network transmissions are improved, may make construction is simple.
The invention will be further described in the following with reference to the drawings and specific embodiments.
Description of the drawings
Fig. 1 is the flow chart for the method for detection zone occupancy situation that the specific embodiment of the invention provides；
Fig. 2 carries out pretreated particular flow sheet for what the specific embodiment of the invention provided to detection data；
Fig. 3 carries out the specific of calculation processing for what the specific embodiment of the invention provided to each pretreated detection data
Flow chart；
Fig. 4 is the fusion output data that the specific embodiment of the invention provides and the particular flow sheet for forming integrated value；
Fig. 5 is the detailed process for obtaining region occupancy situation according to integrated value and report that the specific embodiment of the invention provides
Figure；
Fig. 6 is the structure diagram for the system for detection zone occupancy situation that the specific embodiment of the invention provides；
Fig. 7 is the structure diagram for the pretreatment unit that the specific embodiment of the invention provides；
Fig. 8 is the structure diagram for the computing unit that the specific embodiment of the invention provides；
Fig. 9 is the structure diagram for the integrated unit that the specific embodiment of the invention provides.
Specific implementation mode
In order to more fully understand the present invention technology contents, with reference to specific embodiment to technical scheme of the present invention into
One step introduction and explanation, but not limited to this.
The specific embodiment as shown in Fig. 1~9, the method provided in this embodiment for detection zone occupancy situation can
To be used in the occupancy situation monitoring process of meeting room, office or other secret places, the static person in region is realized
The object detection of body and minor motion improves Detection accuracy, and construction is simple.
As shown in Figure 1, present embodiments providing the method for detection zone occupancy situation, this method includes：
Multiple detection datas in S1, acquisition region；
S2, detection data is pre-processed；
S3, calculation processing is carried out to each pretreated detection data, obtains output data；
S4, fusion output data, form integrated value；
S5, region occupancy situation is obtained according to integrated value, and reported.
For above-mentioned S1 steps, the step of obtaining multiple detection datas in region, the detection data includes polynary
The static detection data that the dynamic detection data and thermopile array sensor that infrared sensor obtains obtain.Polynary infrared sensing
Device coordinates Fresnel Lenses, has good detection result to the action of human body, belongs to dynamic detection.Thermopile array sensor pair
The temperature sensitive detection of human body analyzes the multi-point temperature value of array by algorithm, judges whether that someone exists, belong to static
Detection is carried out data transmission using wireless network in conjunction with dynamic and static combined detection mode, preferably solves meeting room
The real-time acquisition problems of seizure condition.
Further, in certain embodiments, above-mentioned S2 steps carry out pretreated step, packet to detection data
Include step in detail below：
S21, judge whether the detection data is dynamic detection data；
S22, if so, carrying out voltage conversion, high frequency denoising to dynamic detection data and comparing, form voltage data；
S23, if it is not, then carrying out current signal amplification, filtering and conversion to static detection data, form temperature data.
For above-mentioned S22 steps, for the infrared ray of human body radiation after the segmentation of Fei Nier lens, activation heat releases fax sense
The high fever constant materials of device generate weak voltage signals, and after amplifying circuit amplifies, into low-pass filter, filter filters out
Useful signal is sent into comparator circuit by some HF noise signals, when input voltage is higher than reference voltage, exports high electricity
Flat, when voltage then exports low level less than reference voltage, reference voltage can be adjusted by external knob, and adjustment reference voltage is adjusted
Whole sensitivity, it is highly practical to set different reference voltages for different situations.
For above-mentioned S23 steps, thermopile array sensor is made of the thermoelectric pile of 8*8, passes through silicon substrate lens filter
The light for falling some non-frequency ranges makes thermoelectric pile receive the infrared ray of surrounding.Infrared ray promotes the thermocouple inside thermoelectric pile to generate
Current signal, into internal conversion system, is scaled temperature data after the amplification of signal processing circuit and filtering, external
After processor receives the temperature data of a frame 8*8, difference processing is carried out with background data, extracts differential signal, score of being on duty
When according to reaching a certain threshold values, high level is exported, low level is otherwise exported, when differential signal is consistently lower than some valve in a period of time
When value, current data is just updated to background.
In addition, in certain embodiments, for above-mentioned S3 steps, calculating each pretreated detection data
The step of processing, acquisition output data, including step in detail below：
S31, judge whether pretreated detection data is voltage data；
If S32, pretreated detection data are voltage data, pretreated detection data is continuously adopted
Sample；
S33, judge whether the voltage data of sampling is 1；
S34, if so, useful signal count plus one, and enter next step, if it is not, then enter next step；
S35, judge whether measurement period terminates；
If it is not, then returning to S32 steps；
S36, if so, judge useful signal counting whether be more than threshold value；
If so, S37, output one, form output data；
If it is not, then S38, output zero, forms output data；
If S39, pretreated detection data are not voltage data, pretreated detection data is continuously adopted
Sample；
S391, iir filter calculating is carried out to sampled data, obtains result of calculation；
S392, belonged to section is obtained according to result of calculation；
S393, judge whether section and preceding primary output result are consistent；
If so, S37, output one, form output data；
If it is not, then S38, output zero, forms output data.
For above-mentioned S39 to S393 steps, before carrying out S39 steps, it is also necessary to design iir filter, determine and calculate
The IIR exponent numbers and coefficient of method.Iir filter design cycle：Acquisition N group thermopile array sensor output datas, every group 10,000
Item, while current theoretical data output is recorded, it is imported and is acquired using MATLAB, carried out parameter regulation, be allowed to filtered defeated
Go out, the output of car following-theory data is consistent.Exponent number and coefficient are extracted, determines filtering equations.
For above-mentioned S39 to S393 steps, for example：Main control chip connects the output of thermopile array sensor
Continuous sampling, and IIR filtering equations result of calculations are used, expected results are divided into 3 sections with two threshold points：More than or equal to upper
Threshold values is less than upper threshold values and is greater than or equal to lower threshold values, is less than lower threshold values；More than or equal to upper threshold values output 1, it is less than lower threshold values
Output 0 if last time output is 0, exports 0, last time output 1 then exports when less than upper threshold values and more than or equal to lower threshold values
1, output result is input in blending algorithm, carries out the fusion of output data.
Further, for above-mentioned S4 steps, the step of merging output data, form integrated value, including following tool
Body step：
S41, output data time weighting coefficient is assigned；
S42, output data is arranged in order into and is lined up；
Whether S43, judgement line up to have expired；
If it is not, then returning to S42 steps；
S44, if so, output data is multiplied with time weighting system, and cumulative summation forms integrated value.
The data for receiving single sensor, assign different types of sensor different weights, sensing data according to
It is secondary into enqueue, after data queue has expired, allow queuing data is corresponding with time weighting coefficient to be multiplied, and cumulative summation, when tired
Adduction is more than threshold values, then exports someone, when being less than threshold values, then exports nobody, and threshold values is as the quantity of sensor changes and changes.
Background server is transferred to by network module after the result encryption of output.
For above-mentioned S5 steps, region occupancy situation, and the step of reporting are obtained according to integrated value, including in detail below
Step：
S51, judge whether integrated value is more than the threshold value set；
S52, if so, region is occupied, and the occupied information in encryption section reports to server；
S53, if it is not, then region is unoccupied, and the unappropriated information in encryption section reports to server.
Include power module, multi-infrared sensor, thermopile array sensing for hardware system used by this method
Device, main control chip and wireless module, which includes WiFi or commercialization NB-iot networks, according to the network environment of enterprise
It can unrestricted choice；Power module uses Width funtion In-put design, can support the DC supply input of 12V~24V.
This method also can accurately detect meeting room static scene that may be present, improves the accuracy rate of detection, fills
Divide and utilize wireless network convenience, in terms of construction reformation, the energy effectively save construction time, reduces human cost.Simultaneously as
Each detection device is can will not to go out and be caused because of the poly- node failure of cash independently with the minimum material of server communication
Wide-area failures, it is highly practical.
For the above-mentioned method for detection zone occupancy situation, coordinate Fresnel by using multi-infrared sensor
Lens carry out the dynamic detection of object in region, and the static detection of object in region is carried out using thermopile array sensor, right
It obtains dynamic detection data and static detection data carries out pretreatment and fusion treatment, obtain integrated value, confirmed by integrated value
Region occupancy situation, and by way of wireless network transmissions is uploaded to background server, carry out subsequent notice or other
The object detection of the static human and minor motion in region, raising Detection accuracy, and wireless network transmissions are realized in operation
Mode may make construction is simple.
As shown in fig. 6, the present embodiment additionally provides the system for detection zone occupancy situation comprising data acquisition list
Member 1, pretreatment unit 2, computing unit 3, integrated unit 4 and occupancy situation acquiring unit 5.
Data capture unit 1, for obtaining multiple detection datas in region.
Pretreatment unit 2, for being pre-processed to detection data.
Computing unit 3 obtains output data for carrying out calculation processing to each pretreated detection data.
Integrated unit 4 forms integrated value for merging output data.
Occupancy situation acquiring unit 5 for obtaining region occupancy situation according to integrated value, and reports.
Include the dynamic detection number that multi-infrared sensor obtains by detection data for above-mentioned data capture unit 1
According to the static detection data obtained with thermopile array sensor.Multi-infrared sensor coordinates Fresnel Lenses, to human body
Action has good detection result, belongs to dynamic detection.Temperature sensitive detection of the thermopile array sensor to human body, passes through
Algorithm analyzes the multi-point temperature value of array, judges whether that someone exists, belongs to static detection, in conjunction with dynamic and static combination
Detection mode is carried out data transmission using wireless network, preferably solves the real-time acquisition problems of meeting room seizure condition.
Further, in certain embodiments, above-mentioned pretreatment unit 2 includes data judgment module 21, at voltage
Manage module 22 and current processing module 23.
Data judgment module 21, for judging whether the detection data is dynamic detection data.
Voltage processing module 22 is used for if so, carrying out voltage conversion, high frequency denoising and ratio to dynamic detection data
Compared with formation voltage data.
Current processing module 23 is used for if it is not, then carrying out current signal amplification, filtering to static detection data and turning
It changes, forms temperature data.
The infrared ray of above-mentioned voltage processing module 22, human body radiation activates pyroelectricity after the segmentation of Fei Nier lens
The high fever constant materials of sensor generate weak voltage signals, after amplifying circuit amplifies, into low-pass filter, filter
Some HF noise signals are filtered out, useful signal is sent into comparator circuit, when input voltage is higher than reference voltage, output is high
Level, when voltage then exports low level less than reference voltage, reference voltage can be adjusted by external knob, and adjustment reference voltage is
Sensitivity is adjusted, it is highly practical to set different reference voltages for different situations.
For above-mentioned current processing module 23, thermopile array sensor is made of the thermoelectric pile of 8*8, saturating by silicon substrate
Mirror filters out the light of some non-frequency ranges, and thermoelectric pile is made to receive the infrared ray of surrounding.Infrared ray promotes the thermoelectricity inside thermoelectric pile
The even current signal that generates, into internal conversion system, is scaled temperature number after the amplification of signal processing circuit and filtering
According to, after ppu receives the temperature data of a frame 8*8, difference processing is carried out with background data, extracts differential signal, when
When differential data reaches a certain threshold values, high level is exported, low level is otherwise exported, when differential signal is consistently lower than in a period of time
When some threshold values, current data is just updated to background.
In addition, in certain embodiments, above-mentioned computing unit 3 includes that processing data judgment module 31, first samples mould
Block 32, period judgment module 34, counts judgment module 35, the second sampling module 36, filtering calculating at voltage data judgment module 33
Module 37, section acquisition module 38 and interval judgement module 39.
Data judgment module 31 is handled, for judging whether pretreated detection data is voltage data.
First sampling module 32, if being voltage data for pretreated detection data, to pretreated detection
Data carry out continuous sampling.
Voltage data judgment module 33, for judging whether the voltage data of sampling is 1, if so, useful signal counts
Add one.
Period judgment module 34, for judging whether measurement period terminates.
Judgment module 35 is counted, is used for if so, judging whether the counting of useful signal is more than threshold value；If so, output
One, form output data；If it is not, then exporting zero, output data is formed.
Second sampling module 36, if being not voltage data for pretreated detection data, to pretreated inspection
Measured data carries out continuous sampling.
Computing module 37 is filtered, for carrying out iir filter calculating to sampled data, obtains result of calculation.
Section acquisition module 38, for obtaining belonged to section according to result of calculation.
Interval judgement module 39, for judging whether section and preceding primary output result are consistent；If so, output one, shape
At output data；If it is not, then exporting zero, output data is formed.
Above-mentioned computing unit 3, further includes design module, which determines algorithm for designing iir filter
IIR exponent numbers and coefficient.Iir filter design cycle：Acquisition N group thermopile array sensor output datas, every group 10,000, together
The current theoretical data outputs of Shi Jilu, are imported using MATLAB and are acquired, carried out parameter regulation, be allowed to filtered output, with
Gross data output is consistent.Exponent number and coefficient are extracted, determines filtering equations.
For the second above-mentioned sampling module 36, filtering computing module 37, section acquisition module 38 and interval judgement mould
For block 39, for example：Main control chip, which exports thermopile array sensor, carries out continuous sampling, and uses the filtering sides IIR
Expected results are divided into 3 sections by journey result of calculation with two threshold points：More than or equal to upper threshold values, less than upper threshold values and it is more than
Or it is equal to lower threshold values, is less than lower threshold values；More than or equal to upper threshold values output 1, be less than lower threshold values and export 0, when less than upper threshold values and
When more than or equal to lower threshold values, if last time output is 0,0 is exported, last time output 1 then exports 1, and output result is input to fusion
In algorithm, the fusion of output data is carried out.
In addition, in certain embodiments, above-mentioned integrated unit 4 includes coefficient assignment module 41, arrangement module 42, queue
Judgment module 43 and computing module 44.
Coefficient assignment module 41, for assigning output data time weighting coefficient.
Module 42 is arranged, is lined up for output data to be arranged in order into.
Queue judgment module 43, for judging line up whether to have expired.
Computing module 44 is used for if so, output data is multiplied with time weighting system, and cumulative summation, formation integrate
Value.
The data for receiving single sensor, assign different types of sensor different weights, sensing data according to
It is secondary into enqueue, after data queue has expired, allow queuing data is corresponding with time weighting coefficient to be multiplied, and cumulative summation, when tired
Adduction is more than threshold values, then exports someone, when being less than threshold values, then exports nobody, and threshold values is as the quantity of sensor changes and changes.
Background server is transferred to by network module after the result encryption of output.
For above-mentioned occupancy situation acquiring unit 5, specifically judge whether integrated value is more than the threshold value set；If so,
Then region is occupied, and the occupied information in encryption section, reports to server；If it is not, then region is unoccupied, and encrypted area
The unappropriated information in domain, reports to server.
The system also can accurately detect meeting room static scene that may be present, improves the accuracy rate of detection, fills
Divide and utilize wireless network convenience, in terms of construction reformation, the energy effectively save construction time, reduces human cost.Simultaneously as
Each detection device is can will not to go out and be caused because of the poly- node failure of cash independently with the minimum material of server communication
Wide-area failures, it is highly practical.
For the above-mentioned system for detection zone occupancy situation, coordinate Fresnel by using multi-infrared sensor
Lens carry out the dynamic detection of object in region, and the static detection of object in region is carried out using thermopile array sensor, right
It obtains dynamic detection data and static detection data carries out pretreatment and fusion treatment, obtain integrated value, confirmed by integrated value
Region occupancy situation, and by way of wireless network transmissions is uploaded to background server, carry out subsequent notice or other
The object detection of the static human and minor motion in region, raising Detection accuracy, and wireless network transmissions are realized in operation
Mode may make construction is simple.
It is above-mentioned only with embodiment come the technology contents that further illustrate the present invention, in order to which reader is easier to understand, but not
It represents embodiments of the present invention and is only limitted to this, any technology done according to the present invention extends or recreation, by the present invention's
Protection.Protection scope of the present invention is subject to claims.
Claims (10)
1. the method for detection zone occupancy situation, which is characterized in that the method includes：
Obtain multiple detection datas in region；
Detection data is pre-processed；
Calculation processing is carried out to each pretreated detection data, obtains output data；
Output data is merged, integrated value is formed；
Region occupancy situation is obtained according to integrated value, and is reported.
2. the method according to claim 1 for detection zone occupancy situation, which is characterized in that obtain more in region
The step of a detection data, the detection data include the dynamic detection data and thermopile array that multi-infrared sensor obtains
The static detection data that sensor obtains.
3. the method according to claim 2 for detection zone occupancy situation, which is characterized in that carried out to detection data
Pretreated step, including step in detail below：
Judge whether the detection data is dynamic detection data；
If so, carrying out voltage conversion, high frequency denoising to dynamic detection data and comparing, voltage data is formed；
If it is not, then carrying out current signal amplification, filtering and conversion to static detection data, temperature data is formed.
4. the method according to claim 2 for detection zone occupancy situation, which is characterized in that after each pretreatment
Detection data the step of carrying out calculation processing, obtaining output data, including step in detail below：
Judge whether pretreated detection data is voltage data；
If pretreated detection data is voltage data, continuous sampling is carried out to pretreated detection data；
Judge whether the voltage data of sampling is 1；
If so, useful signal, which counts, adds one, and enter next step, if it is not, then entering next step；
Judge whether measurement period terminates；
If it is not, then returning to described the step of carrying out continuous sampling to voltage data；
If so, judging whether the counting of useful signal is more than threshold value；
If so, output one, forms output data；
If it is not, then exporting zero, output data is formed；
If pretreated detection data is not voltage data, continuous sampling is carried out to pretreated detection data；
Iir filter calculating is carried out to sampled data, obtains result of calculation；
Belonged to section is obtained according to result of calculation；
Judge whether section and preceding primary output result are consistent；
If so, output one, forms output data；
If it is not, then exporting zero, output data is formed.
5. the method according to any one of claims 1 to 4 for detection zone occupancy situation, which is characterized in that fusion
The step of output data, formation integrated value, including step in detail below：
Assign output data time weighting coefficient；
Output data is arranged in order into and is lined up；
Whether judgement lines up to have expired；
Output data is arranged in order into the step of lining up if it is not, then returning；
If so, output data is multiplied with time weighting system, and cumulative summation, form integrated value.
6. the method according to claim 5 for detection zone occupancy situation, which is characterized in that obtained according to integrated value
Region occupancy situation, and the step of reporting, including step in detail below：
Judge whether integrated value is more than the threshold value set；
If so, region is occupied, and the occupied information in encryption section, report to server；
If it is not, then region is unoccupied, and the unappropriated information in encryption section, report to server.
7. the system for detection zone occupancy situation, which is characterized in that including data capture unit, pretreatment unit, calculating
Unit, integrated unit and occupancy situation acquiring unit；
The data capture unit, for obtaining multiple detection datas in region；
The pretreatment unit, for being pre-processed to detection data；
The computing unit obtains output data for carrying out calculation processing to each pretreated detection data；
The integrated unit forms integrated value for merging output data；
The occupancy situation acquiring unit for obtaining region occupancy situation according to integrated value, and reports.
8. the system according to claim 7 for detection zone occupancy situation, which is characterized in that the pretreatment unit
Including data judgment module, voltage processing module and current processing module；
The data judgment module, for judging whether the detection data is dynamic detection data；
The voltage processing module, for if so, carry out voltage conversion, high frequency denoising to dynamic detection data and compare,
Form voltage data；
The current processing module is used for if it is not, then carry out current signal amplification, filtering and conversion to static detection data,
Form temperature data.
9. the system according to claim 8 for detection zone occupancy situation, which is characterized in that the computing unit packet
It includes processing data judgment module, the first sampling module, voltage data judgment module, period judgment module, count judgment module, the
Two sampling modules, filtering computing module, section acquisition module and interval judgement module；
The processing data judgment module, for judging whether pretreated detection data is voltage data；
First sampling module, if being voltage data for pretreated detection data, to pretreated testing number
According to progress continuous sampling；
The voltage data judgment module adds for judging whether the voltage data of sampling is 1 if so, useful signal counts
One；
The period judgment module, for judging whether measurement period terminates；
The counting judgment module is used for if so, judging whether the counting of useful signal is more than threshold value；If so, output one,
Form output data；If it is not, then exporting zero, output data is formed；
Second sampling module, if being not voltage data for pretreated detection data, to pretreated detection
Data carry out continuous sampling；
The filtering computing module obtains result of calculation for carrying out iir filter calculating to sampled data；
The section acquisition module, for obtaining belonged to section according to result of calculation；
The interval judgement module, for judging whether section and preceding primary output result are consistent；If so, output one, forms
Output data；If it is not, then exporting zero, output data is formed.
10. the system according to claim 9 for detection zone occupancy situation, which is characterized in that the integrated unit
Including coefficient assignment module, arrangement module, queue judgment module and computing module；
The coefficient assignment module, for assigning output data time weighting coefficient；
The arrangement module, lines up for output data to be arranged in order into；
The queue judgment module, for judging line up whether to have expired；
The computing module is used for if so, output data is multiplied with time weighting system, and it is cumulative sum, formation integrated value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810210773.0A CN108491871A (en) | 2018-03-14 | 2018-03-14 | Method and its system for detection zone occupancy situation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810210773.0A CN108491871A (en) | 2018-03-14 | 2018-03-14 | Method and its system for detection zone occupancy situation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108491871A true CN108491871A (en) | 2018-09-04 |
Family
ID=63339148
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810210773.0A Pending CN108491871A (en) | 2018-03-14 | 2018-03-14 | Method and its system for detection zone occupancy situation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108491871A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101441276A (en) * | 2007-11-23 | 2009-05-27 | 武光杰 | Human body infrared induction module |
| CN102759704A (en) * | 2011-04-26 | 2012-10-31 | 周杨一帆 | Switch detection device |
| CN103197354A (en) * | 2013-03-22 | 2013-07-10 | 黄程云 | Digital passive infrared static human body detector and detection method thereof |
| CN106374902A (en) * | 2016-11-08 | 2017-02-01 | 广东顺德鲁棒智能技术有限公司 | Infrared temperature measurement-based multifunctional human sensing switch and implementation method therefor |
| CN107220593A (en) * | 2017-05-05 | 2017-09-29 | 深圳通感微电子有限公司 | Multi-mode human body recognition method and device |
-
2018
- 2018-03-14 CN CN201810210773.0A patent/CN108491871A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101441276A (en) * | 2007-11-23 | 2009-05-27 | 武光杰 | Human body infrared induction module |
| CN102759704A (en) * | 2011-04-26 | 2012-10-31 | 周杨一帆 | Switch detection device |
| CN103197354A (en) * | 2013-03-22 | 2013-07-10 | 黄程云 | Digital passive infrared static human body detector and detection method thereof |
| CN106374902A (en) * | 2016-11-08 | 2017-02-01 | 广东顺德鲁棒智能技术有限公司 | Infrared temperature measurement-based multifunctional human sensing switch and implementation method therefor |
| CN107220593A (en) * | 2017-05-05 | 2017-09-29 | 深圳通感微电子有限公司 | Multi-mode human body recognition method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR101068862B1 (en) | Demand-based real time energy monitoring and management system | |
| CN105957169B (en) | A kind of detection method based on ibeacon technologies, apparatus and system | |
| CN107368894A (en) | The prevention and control of air pollution electricity consumption data analysis platform shared based on big data | |
| CN103646250A (en) | Pedestrian monitoring method and device based on distance image head and shoulder features | |
| JP5057458B2 (en) | Demand monitoring system | |
| CN109391641A (en) | Temperature information method for uploading, device, system, electronic equipment and storage medium | |
| CN103873171A (en) | Cooperative spectrum sensing decision fusion method based on multi-user cooperation | |
| CN108229860A (en) | A kind of construction engineering quality monitoring device | |
| CN103439114A (en) | System and device for testing thermal performance of turboset | |
| CN112181031A (en) | Intelligent building monitoring device | |
| CN212724278U (en) | Wisdom face identification body temperature early warning system | |
| CN104300899A (en) | Photovoltaic power generation electricity stealing prevention system | |
| CN107356835A (en) | A kind of intelligent electrical energy monitoring analysis system | |
| CN108491871A (en) | Method and its system for detection zone occupancy situation | |
| CN107087024A (en) | Building deformation monitoring method and system based on cloud computing, cloud terminal | |
| CN111680831A (en) | Substation power utilization analysis system and method | |
| CN105675465A (en) | USB charger with air quality detecting function | |
| CN106197683B (en) | A kind of portable intelligent infrared temperature measurement system | |
| Li et al. | A new method and verification of vehicles detection based on RSSI variation | |
| JP6325429B2 (en) | ENVIRONMENTAL CHANGE DETECTION SYSTEM, ENVIRONMENTAL CHANGE DETECTION DEVICE, AND ENVIRONMENTAL CHANGE DETECTION METHOD | |
| CN108663970A (en) | A kind of electric power operation safety monitoring system | |
| CN109816175B (en) | Method and system for predicting number of people in area with minimum risk based on variable components and structure | |
| KR101706306B1 (en) | Blood pressure information providing system and method | |
| CN115112167A (en) | Temperature and humidity sensor early warning system and method applied to production area of cigarette factory | |
| Sinda et al. | Spatial-temporal anomaly detection using security visual analytics via entropy graph and eigen matrix |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180904 |