CN103134426A - Infrared-based object size estimation method and system - Google Patents
Infrared-based object size estimation method and system Download PDFInfo
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- CN103134426A CN103134426A CN2013100386252A CN201310038625A CN103134426A CN 103134426 A CN103134426 A CN 103134426A CN 2013100386252 A CN2013100386252 A CN 2013100386252A CN 201310038625 A CN201310038625 A CN 201310038625A CN 103134426 A CN103134426 A CN 103134426A
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Abstract
The invention is applicable to the field of logistics technology and particularly relates to an infrared-based object size estimation method and a system. The method includes the steps of enabling an object to pass between infrared ray transmitting devices and infrared ray receiving devices, utilizing dot matrixes of infrared ray sensors of the infrared ray receiving devices to obtain an occluding map of the object, computing the cross section area of the object according to the occluding map, and computing the size of the object according to the cross section area and the preset width of the object. According to the infrared-based object size estimation method and the system, a plurality of infrared ray transmitting devices and infrared ray receiving devices are arranged and used so as to obtain the occluding map of the object, compute the cross section area of the object and finally achieve the effect of estimating the size. The infrared-based object size estimation method and the system are capable of improving space utilization rate of a sorting trolley, and save time consumption for manual checking and scheduling of the sorting trolley.
Description
Technical field
The present invention is applicable to the logistlcs technology field, relates in particular to a kind of based on ultrared object volume evaluation method and system.
Background technology
Infrared ray is a kind of in numerous invisible rays in sunray, by British scientist suddenly Xu Er found in 1800, be called again infrared emanation, he disassembles sunshine with prism, placed thermometer on the colour band position of various different colours, attempt to measure the heating effect of versicolor light, found that that thermometer that is positioned at the ruddiness outside heats up the fastest.Therefore obtain conclusion: in solar spectrum, must there be invisible light in the outside of ruddiness, and Here it is infrared ray also can be used as the medium of transmission.On solar spectrum, ultrared wavelength is greater than luminous ray, and wavelength is 0.75～1000 μ m.Infrared ray can be divided into three parts, i.e. near infrared ray, and wavelength is between (0.75-1)～(2.5-3) μ m; Middle infrared (Mid-IR), wavelength are between (2.5-3)～(25-40) μ m; Far infrared, wavelength are between (25-40)～l000 μ m.Infrared ray is commonly called as infrared light, is be situated between electromagnetic wave between microwave and visible light of wavelength, and wavelength between 770 nanometers to 1 millimeter, is the long non-visible light of wavelength ratio ruddiness.Cover the thermal-radiating wave band that under room temperature, object sends, see through cloud and mist energy force rate visible light strong.Have been widely used at aspects such as communication, detection, medical treatment, military affairs.
Infrared ray sensor (infrared transducer): the sensor that utilizes ultrared physical property to measure.Infrared ray claims again infrared light, and it has the character such as reflection, refraction, scattering, interference, absorption.Any material, as long as itself has certain temperature (higher than absolute zero), can infrared radiation.Directly do not contact with testee when infrared ray sensor is measured, thereby do not have friction, and have highly sensitively, react the advantage such as fast.Infrared ray sensor comprises optical system, detecting element and change-over circuit.Optical system can be divided into transmission-type and reflective two classes by the structure difference.Detecting element can be divided into temperature-sensitive detecting element and optical detection device by principle of work.What the thermal sensing element application was maximum is thermistor.When thermistor is subject to infrared radiation, temperature raises, and resistance changes, and becomes electric signal output by change-over circuit.What optical detection device was commonly used is light activated element, is usually made by materials such as vulcanized lead, lead selenide, indium arsenide, antimony arsenide, mercury cadmium telluride ternary alloy three-partalloy, germanium and silicon dopings.
At present, do not use the volume that the infrared ray sensing device calculates object in prior art.
Summary of the invention
It is a kind of based on ultrared object volume evaluation method that the embodiment of the present invention provides, when being intended to solve prior art with a plurality of object scanning entruckings or vanning, and the problem that need to manually check, scheduling time consumes.
The embodiment of the present invention is achieved in that a kind of based on ultrared object volume evaluation method, comprising:
Object passes through between infrared ray dispensing device and infrared receiver, utilizes the Occlusion Map of the infrared ray sensor dot matrix acquisition object of described infrared receiver;
Calculate the cross-sectional area of object according to described Occlusion Map;
Calculate object volume according to described cross-sectional area and the object width of presetting.
It is a kind of based on ultrared object volume estimating system that the embodiment of the present invention also provides, and comprising:
The Occlusion Map acquiring unit is used for object and passes through between infrared ray dispensing device and infrared receiver, utilizes the Occlusion Map of the infrared ray sensor dot matrix acquisition object of described infrared receiver;
The cross-sectional area computing unit is used for the cross-sectional area according to described Occlusion Map calculating object;
The object volume computing unit is used for calculating object volume according to described cross-sectional area and the object width of presetting.
The present invention uses by a plurality of far infrared transceiver are arranged, thereby can obtain the Occlusion Map of the object of object, and then calculates the cross-sectional area of object, reaches at last the effect of estimation volume.Can improve the space availability ratio of sorting dolly, saving sorting dolly is manually checked, scheduling time consumption.
Description of drawings
Fig. 1 represents a kind of based on ultrared object volume evaluation method process flow diagram;
Fig. 2 represents the velocity estimation schematic diagram;
Fig. 3 represents infrared facility mapping schematic diagram;
Fig. 4 represents object cross-sectional scans schematic diagram;
Fig. 5 represents based on ultrared object volume estimating system structural drawing.
Embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, is not intended to limit the present invention.
Fig. 1 shows a kind of based on ultrared object volume evaluation method process flow diagram that the embodiment of the present invention provides, and details are as follows:
In step S101, object passes through between infrared ray dispensing device and infrared receiver, utilizes the Occlusion Map of the infrared ray sensor dot matrix acquisition object of this infrared receiver;
In step S102, calculate the cross-sectional area of object according to Occlusion Map;
In step S103, calculate object volume according to cross-sectional area and the object width of presetting.
In an example of the present invention, as shown in Figure 2, be provided with two row infrared ray sensors (n=2), every row 5 (m=5) are estimated more fine granularity in order to make, separate with distance h between the upper lower device of every row, two devices corresponding to row evenly stagger, and get 5 pairs of far infrared transceiver of every row, totally 10,10 infrared facility perpendicular separation d.A and B represent two row infrared ray transceivers.Object passes through the infrared ray sensor dot matrix by A to B direction;
Object passes through between infrared ray dispensing device and infrared receiver, utilizes the Occlusion Map of the infrared ray sensor dot matrix acquisition object of this infrared receiver to comprise:
Object passes through between infrared ray dispensing device and infrared receiver, and the time that makes object begin to block the infrared ray sensor of first row is designated as t
A, the time that object begins to block the infrared ray sensor of secondary series is designated as t
BFrom time t
ABegin object is carried out cross-sectional scans, the infrared ray sensor that during every △ t excessively, interocclusal record is blocked, until object leaves the infrared ray sensor of secondary series, the blocking in record of infrared ray sensor that record is mapped to first row of blocking with the infrared ray sensor of secondary series, consist of a time dependent record that always blocks, the described record that always blocks forms Occlusion Map;
In the present embodiment, 5 far infrared transceiver of the A in Fig. 2 are designated as A={a1, a2, a3, a4, a5} from top to bottom successively; 5 far infrared transceiver of B are designated as B={b1, b2, b3, b4, b5} from top to bottom successively.B is mapped in A, is designated as successively from top to bottom A'={A1', A2', A3', A4', A5', A6', A7', A8', A9', A10'}.Hollow dots in Fig. 2 is exactly the point that the B mapping is come, and mapping result A ' as shown in Figure 3.Object can be thought tangential movement during by A and B.Therefore, the record that is blocked of B also can be mapped in A.Be that A ' can obtain one and total blocks time dependent record,, the time that object enters A is t
A, begin object is carried out cross-sectional scans the infrared facility that during every Δ t excessively, interocclusal record is blocked.Equally, after object entered B, linking added Δ t record last writing time, goes down successively, until object goes out the sweep limit of B.As shown in Figure 4, on a time point, hollow dots is exactly the point that is blocked, and solid dot is the point that is not blocked, and annulus point is exactly to block marginal point.
The cross-sectional area that calculates object according to this Occlusion Map comprises:
The horizontal Negotiation speed that calculates object is:
Vertically be divided into mutually h/2 between vertical adjacent two infrared ray sensors that are blocked in Occlusion Map, lateral separation L=u between horizontal adjacent two infrared ray sensors that are blocked in Occlusion Map * Δ t, the minimum rectangle area that every four adjacent infrared ray sensors that are blocked in Occlusion Map form is h/2 * L, the number of the minimum rectangle of the infrared ray sensor that is blocked by clearance, calculate object cross-sectional area S=λ (h/2 * L)=λ (h/2 * u * Δ t), wherein λ is little rectangle number;
In the present embodiment, as shown in Figure 4, every two adjacent mistimings are all Δ t, for example t5-t4=Δ t.These points are exactly the h/2 of vertically being separated by so, the L=u of laterally being separated by * Δ t, and the minimum rectangle area that every four points form is h/2 * L.The minimum rectangle number of blocking by clearance can obtain the object cross-sectional area.For example, in t6 and t7, vertically across 3 sections, laterally across one section, area accounts for 3/2 little rectangle.In this step, and the area S=λ that obtains (h/2 * L)=λ (h/2 * u * Δ t), wherein, λ is the minimum rectangle number, integer not necessarily is such as 3/2.
Calculating object volume according to this cross-sectional area with the object width of presetting comprises:
Object volume
Wherein, w is default object width.
In the present embodiment, can according to the width that sets in advance luggage case, if the object transverse width changes not quite, can get a mean value w.How many w gets needs actual investigation peek.By the investigation to Beijing Capital Airport T1 terminal baggage sorting pond, the luggage in the sorting dolly of having filled luggage is added up, find that wherein the average transverse width of luggage is generally the 35CM left and right.
In another example of the present invention, the infrared ray sensor dot matrix is two infrared ray sensors that mutually stagger of row, and the distance in every row infrared ray sensor between adjacent two infrared ray sensors is h, and the distance between two row infrared ray sensors is d;
Object passes through between infrared ray dispensing device and infrared receiver, utilizes the Occlusion Map of the infrared ray sensor dot matrix acquisition object of this infrared receiver to comprise:
Object passes through between infrared ray dispensing device and infrared receiver, and the time that makes object begin to block the infrared ray sensor of first row is designated as t
A, the time that object begins to block the infrared ray sensor of secondary series is designated as t
BFrom time t
ABegin object is carried out cross-sectional scans, the infrared ray sensor that during every △ t excessively, interocclusal record is blocked until object leaves the infrared ray sensor of first row, consists of a time dependent record that blocks, and the described record that blocks forms Occlusion Map;
In the present embodiment, be different from an embodiment, recording object begins to block the first row infrared ray sensor and consists of the time dependent record that blocks of infrared ray sensor to the time of leaving the first row infrared ray sensor, equally, horizontal Negotiation speed was calculated by the time that object begins respectively to block first row and secondary series infrared ray sensor.
The cross-sectional area that calculates object according to this Occlusion Map comprises:
The horizontal Negotiation speed that calculates object is:
Vertically be divided into mutually h/2 between vertical adjacent two infrared ray sensors that are blocked in Occlusion Map, lateral separation L=u between horizontal adjacent two infrared ray sensors that are blocked in Occlusion Map * Δ t, the minimum rectangle area that every four adjacent infrared ray sensors that are blocked in Occlusion Map form is h/2 * L, the number of the minimum rectangle of the infrared ray sensor that is blocked by clearance, calculate cross-sectional area S=λ (h/2 * the L)=λ (h/2 * u * Δ t) of object, wherein, λ is the minimum rectangle number;
Describedly calculate object volume according to described cross-sectional area and default object width and comprise:
Object volume
Wherein, w is default object width.
In another embodiment of the present invention, the infrared ray sensor dot matrix is a row infrared ray sensor, and the distance in this row infrared ray sensor between adjacent two infrared ray sensors is h;
Object passes through between infrared ray dispensing device and infrared receiver, utilizes the Occlusion Map of the infrared ray sensor dot matrix acquisition object of this infrared receiver to comprise:
Object passes through between infrared ray dispensing device and infrared receiver, when blocking this row infrared ray sensor, object begins object is carried out cross-sectional scans, the infrared ray sensor that during every △ t excessively, interocclusal record is blocked, until object leaves this row infrared ray sensor, consist of a time dependent record that blocks, this blocks record and forms Occlusion Map;
The cross-sectional area that calculates object according to this Occlusion Map comprises:
Vertically be divided into mutually h between vertical adjacent two infrared ray sensors that are blocked in Occlusion Map, lateral separation L=u between horizontal adjacent two infrared ray sensors that are blocked in Occlusion Map * Δ t, wherein u is the transfer rate of object, the minimum rectangle area that every four adjacent infrared ray sensors that are blocked in Occlusion Map form is h * L, the number of the minimum rectangle of the infrared ray sensor that is blocked by clearance, calculate object cross-sectional area S=λ (h * L)=λ (h * u * Δ t), wherein λ is the minimum rectangle number;
Calculating object volume according to this cross-sectional area with the object width of presetting comprises:
Object volume V=w * S=w λ (h * u * Δ t), wherein, w is default object width.
In the present embodiment, only a row far infrared transceiver need be set, just can calculate object volume by the transfer rate of object or the speed of travelling belt.
In another embodiment of the present invention, the infrared ray sensor dot matrix is the infrared ray sensor that the n row are arranged in parallel, the quantity of every row infrared ray sensor is m, distance in every row infrared ray sensor between adjacent two infrared ray sensors is h, distance between adjacent two row infrared ray sensors is d, and (n-1) * d is not less than the lateral length of object to be measured, and (m-1) * h is not less than vertical width of object to be measured;
Object passes through between infrared ray dispensing device and infrared receiver, utilizes the Occlusion Map of the infrared ray sensor dot matrix acquisition object of this infrared receiver to comprise:
Object passes through between infrared ray dispensing device and infrared receiver, when object enters this infrared ray sensor dot matrix fully, object is carried out cross-sectional scans, obtains the Occlusion Map of object;
The cross-sectional area that calculates object according to this Occlusion Map comprises:
The minimum rectangle area that every four adjacent infrared ray sensors that are blocked in Occlusion Map form is h * d, the number of the minimum rectangle of the infrared ray sensor that is blocked by clearance, (h * d), wherein λ is the minimum rectangle number to calculate the cross-sectional area S=λ of object;
Calculating object volume according to this cross-sectional area with the object width of presetting comprises:
(h * d), wherein, w is default object width to object volume V=w * S=w λ.
In the present embodiment, it is abundant that far infrared transceiver arranges, and length and width are during greater than the length and width of object, in the infrared ray sensor dot matrix, and can be covered fully the time, only needs the record that blocks of record this moment when movement of objects, just can obtain Occlusion Map.
In existing operation, when the luggage in dolly accounts for 80% left and right, dolly space, often the past is checked the dolly remaining space around one week of dolly to the sorting workman, Deng space utilization to 100% the time, the interim empty dolly of transferring from other positions comes Load luggage, a large amount of manpowers and the time so just expended again.
Fig. 5 show that the embodiment of the present invention provides based on ultrared object volume estimating system structural drawing, details are as follows:
Occlusion Map acquiring unit 51 objects between infrared ray dispensing device and infrared receiver by the time, utilize the infrared ray sensor dot matrix of this infrared receiver to obtain the Occlusion Map of object;
Cross-sectional area computing unit 52 calculates the cross-sectional area of object according to this Occlusion Map;
Object volume computing unit 53 calculates object volume according to this cross-sectional area and the object width of presetting.
As one embodiment of the present of invention, the infrared ray sensor dot matrix is two infrared ray sensors that mutually stagger of row, and the distance in every row infrared ray sensor between adjacent two infrared ray sensors is h, and the distance between two row infrared ray sensors is d.
The Occlusion Map acquiring unit specifically comprises:
Block time logging modle one when object between infrared ray dispensing device and infrared receiver by the time, the time that makes object begin to block the infrared ray sensor of first row is designated as t
A, the time that object begins to block the infrared ray sensor of secondary series is designated as t
B
Occlusion Map forms module one from time t
ABegin object is carried out cross-sectional scans, the infrared ray sensor that during every △ t excessively, interocclusal record is blocked, until object leaves the infrared ray sensor of secondary series, the blocking in record of infrared ray sensor that record is mapped to first row of blocking with the infrared ray sensor of secondary series, consist of a time dependent record that always blocks, always block record and form Occlusion Map.
The cross-sectional area computing unit specifically comprises:
Horizontal velocity computing module one calculates the horizontal Negotiation speed u of object, wherein,
Minimum rectangle area computing module one calculates every four minimum rectangle areas that the adjacent infrared ray sensor that is blocked forms in Occlusion Map, vertically be divided into mutually h/2 between vertical adjacent two infrared ray sensors that are blocked in Occlusion Map, lateral separation L=u between horizontal adjacent two infrared ray sensors that are blocked in Occlusion Map * Δ t, the minimum rectangle area that every four the adjacent infrared ray sensors that are blocked in Occlusion Map form is h/2 * L.
The number of the minimum rectangle of the infrared ray sensor that cross-sectional area computing module one is blocked by clearance, (h/2 * L)=λ (h/2 * u * Δ t), wherein λ is the minimum rectangle number to calculate the cross-sectional area S=λ of object.
Object volume
Wherein, w is default object width.
As an alternative embodiment of the invention, the infrared ray sensor dot matrix is two infrared ray sensors that mutually stagger of row, and the distance in every row infrared ray sensor between adjacent two infrared ray sensors is h, and the distance between two row infrared ray sensors is d.
The Occlusion Map acquiring unit specifically comprises:
Block time logging modle two when object between infrared ray dispensing device and infrared receiver by the time, the time that makes object begin to block the infrared ray sensor of first row is designated as t
A, the time that object begins to block the infrared ray sensor of secondary series is designated as t
B
Occlusion Map forms module two from time t
ABegin object is carried out cross-sectional scans, the infrared ray sensor that during every △ t excessively, interocclusal record is blocked until object leaves the infrared ray sensor of first row, consists of a time dependent record that blocks, and blocks record and forms Occlusion Map.
The cross-sectional area computing unit specifically comprises:
Horizontal velocity computing module two calculates the horizontal Negotiation speed u of object, wherein,
Minimum rectangle area computing module two calculates every four minimum rectangle areas that the adjacent infrared ray sensor that is blocked forms in Occlusion Map, vertically be divided into mutually h/2 between vertical adjacent two infrared ray sensors that are blocked in Occlusion Map, lateral separation L=u between horizontal adjacent two infrared ray sensors that are blocked in Occlusion Map * Δ t, the minimum rectangle area that every four the adjacent infrared ray sensors that are blocked in Occlusion Map form is h/2 * L.
The number of the minimum rectangle of the infrared ray sensor that cross-sectional area computing module two is blocked by clearance, (h/2 * L)=λ (h/2 * u * Δ t), wherein λ is the minimum rectangle number to calculate the cross-sectional area S=λ of object.
Object volume
Wherein, w is default object width.
As an alternative embodiment of the invention, the infrared ray sensor dot matrix is a row infrared ray sensor, and the distance in this row infrared ray sensor between adjacent two infrared ray sensors is h;
Utilize the Occlusion Map of the infrared ray sensor dot matrix acquisition object of infrared receiver to be specially:
Object passes through between infrared ray dispensing device and infrared receiver, when blocking this row infrared ray sensor, object begins object is carried out cross-sectional scans, the infrared ray sensor that during every △ t excessively, interocclusal record is blocked, until object leaves this row infrared ray sensor, consist of a time dependent record that blocks, block record and form Occlusion Map.
The cross-sectional area computing unit specifically comprises:
Minimum rectangle area computing module three calculates every four minimum rectangle areas that the adjacent infrared ray sensor that is blocked forms in Occlusion Map, vertically be divided into mutually h between vertical adjacent two infrared ray sensors that are blocked in Occlusion Map, lateral separation L=u between horizontal adjacent two infrared ray sensors that are blocked in described Occlusion Map * Δ t, wherein u is the transfer rate of object, and the minimum rectangle area that every four the adjacent infrared ray sensors that are blocked in described Occlusion Map form is h * L.
The number of the minimum rectangle of the infrared ray sensor that cross-sectional area computing module three is blocked by clearance, (h * L)=λ (h * u * Δ t), wherein λ is the minimum rectangle number to calculate the cross-sectional area S=λ of object.
Object volume V=w * S=w λ (h * u * Δ t), wherein, w is default object width.
As an alternative embodiment of the invention, the infrared ray sensor dot matrix is the infrared ray sensor that the n row are arranged in parallel, the quantity of every row infrared ray sensor is m, distance in every row infrared ray sensor between adjacent two infrared ray sensors is h, distance between adjacent two row infrared ray sensors is d, and (n-1) * d is not less than the lateral length of object to be measured, and (m-1) * h is not less than vertical width of object to be measured;
Utilize the Occlusion Map of the infrared ray sensor dot matrix acquisition object of infrared receiver to be specially:
Object passes through between infrared ray dispensing device and infrared receiver, when object enters the infrared ray sensor dot matrix fully, object is carried out cross-sectional scans, obtains the Occlusion Map of object;
Described cross-sectional area computing unit specifically comprises:
Minimum rectangle area computing module four calculates every four minimum rectangle areas that the adjacent infrared ray sensor that is blocked forms in Occlusion Map, and the minimum rectangle area that every four the adjacent infrared ray sensors that are blocked in Occlusion Map form is h * d.
Cross-sectional area computing module four-way is crossed the number of the minimum rectangle of the infrared ray sensor that is blocked of clearance, and (h * d), wherein λ is the minimum rectangle number to calculate the cross-sectional area S=λ of object.
(h * d), wherein, w is default object width to object volume V=w * S=w λ.
The present invention uses by a plurality of far infrared transceiver are arranged, thereby can obtain the Occlusion Map of the object of object, and then calculates the cross-sectional area of object, reaches at last the effect of estimation volume.Can improve the space availability ratio of sorting dolly, saving sorting dolly is manually checked, scheduling time consumption.
The above is only the preferred embodiment of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (10)
1. one kind based on ultrared object volume evaluation method, it is characterized in that, comprising:
Object passes through between infrared ray dispensing device and infrared receiver, utilizes the Occlusion Map of the infrared ray sensor dot matrix acquisition object of described infrared receiver;
Calculate the cross-sectional area of object according to described Occlusion Map;
Calculate object volume according to described cross-sectional area and the object width of presetting.
2. according to claim 1 a kind of based on ultrared object volume evaluation method, it is characterized in that:
Described infrared ray sensor dot matrix is two infrared ray sensors that mutually stagger of row, and the distance in every row infrared ray sensor between adjacent two infrared ray sensors is h, and the distance between two row infrared ray sensors is d;
Described object passes through between infrared ray dispensing device and infrared receiver, utilizes the Occlusion Map of the infrared ray sensor dot matrix acquisition object of described infrared receiver to comprise:
Object passes through between infrared ray dispensing device and infrared receiver, and the time that makes object begin to block the infrared ray sensor of first row is designated as t
A, the time that object begins to block the infrared ray sensor of secondary series is designated as t
BFrom time t
ABegin object is carried out cross-sectional scans, the infrared ray sensor that during every Δ t excessively, interocclusal record is blocked, until object leaves the infrared ray sensor of secondary series, the blocking in record of infrared ray sensor that record is mapped to first row of blocking with the infrared ray sensor of secondary series, consist of a time dependent record that always blocks, the described record that always blocks forms Occlusion Map;
Described cross-sectional area according to described Occlusion Map calculating object comprises:
The horizontal Negotiation speed that calculates object is:
Vertically be divided into mutually h/2 between vertical adjacent two infrared ray sensors that are blocked in described Occlusion Map, lateral separation L=u between horizontal adjacent two infrared ray sensors that are blocked in described Occlusion Map * Δ t, the minimum rectangle area that every four adjacent infrared ray sensors that are blocked in described Occlusion Map form is h/2 * L, the number of the minimum rectangle of the infrared ray sensor that is blocked by clearance, calculate object cross-sectional area S=λ (h/2 * L)=λ (h/2 * u * Δ t), wherein λ is the minimum rectangle number;
Describedly calculate object volume according to described cross-sectional area and default object width and comprise:
Object volume
Wherein, w is default object width.
3. according to claim 1 a kind of based on ultrared object volume evaluation method, it is characterized in that:
Described infrared ray sensor dot matrix is two infrared ray sensors that mutually stagger of row, and the distance in every row infrared ray sensor between adjacent two infrared ray sensors is h, and the distance between two row infrared ray sensors is d;
Described object passes through between infrared ray dispensing device and infrared receiver, utilizes the Occlusion Map of the infrared ray sensor dot matrix acquisition object of described infrared receiver to comprise:
Object passes through between infrared ray dispensing device and infrared receiver, and the time that makes object begin to block the infrared ray sensor of first row is designated as t
A, the time that object begins to block the infrared ray sensor of secondary series is designated as t
BFrom time t
ABegin object is carried out cross-sectional scans, the infrared ray sensor that during every △ t excessively, interocclusal record is blocked until object leaves the infrared ray sensor of first row, consists of a time dependent record that blocks, and the described record that blocks forms Occlusion Map;
Described cross-sectional area according to described Occlusion Map calculating object comprises:
The horizontal Negotiation speed that calculates object is:
Vertically be divided into mutually h/2 between vertical adjacent two infrared ray sensors that are blocked in described Occlusion Map, lateral separation L=u between horizontal adjacent two infrared ray sensors that are blocked in described Occlusion Map * Δ t, the minimum rectangle area that every four adjacent infrared ray sensors that are blocked in described Occlusion Map form is h/2 * L, the number of the minimum rectangle of the infrared ray sensor that is blocked by clearance, calculate object cross-sectional area S=λ (h/2 * L)=λ (h/2 * u * Δ t), wherein λ is the minimum rectangle number;
Describedly calculate object volume according to described cross-sectional area and default object width and comprise:
Object volume
Wherein, w is default object width.
4. according to claim 1 a kind of based on ultrared object volume evaluation method, it is characterized in that:
Described infrared ray sensor dot matrix is a row infrared ray sensor, and the distance in this row infrared ray sensor between adjacent two infrared ray sensors is h;
Described object passes through between infrared ray dispensing device and infrared receiver, utilizes the Occlusion Map of the infrared ray sensor dot matrix acquisition object of described infrared receiver to comprise:
Object passes through between infrared ray dispensing device and infrared receiver, when blocking this row infrared ray sensor, object begins object is carried out cross-sectional scans, the infrared ray sensor that during every △ t excessively, interocclusal record is blocked, until object leaves this row infrared ray sensor, consist of a time dependent record that blocks, the described record that blocks forms Occlusion Map;
Described cross-sectional area according to described Occlusion Map calculating object comprises:
vertically be divided into mutually h between vertical adjacent two infrared ray sensors that are blocked in described Occlusion Map, lateral separation L=u between horizontal adjacent two infrared ray sensors that are blocked in described Occlusion Map * Δ t, wherein u is the transfer rate of object, the minimum rectangle area that every four adjacent infrared ray sensors that are blocked in described Occlusion Map form is h * L, the number of the minimum rectangle of the infrared ray sensor that is blocked by clearance, calculate cross-sectional area S=λ (h * the L)=λ (h * u * Δ t) of object, wherein λ is the minimum rectangle number,
Describedly calculate object volume according to described cross-sectional area and default object width and comprise:
Object volume V=w * S=w λ (h * u * Δ t), wherein, w is default object width.
5. according to claim 1 a kind of based on ultrared object volume evaluation method, it is characterized in that:
Described infrared ray sensor dot matrix is the infrared ray sensor that the n row are arranged in parallel, the quantity of every row infrared ray sensor is m, distance in every row infrared ray sensor between adjacent two infrared ray sensors is h, distance between adjacent two row infrared ray sensors is d, and (n-1) * d is not less than the lateral length of object to be measured, and (m-1) * h is not less than vertical width of object to be measured;
Described object passes through between infrared ray dispensing device and infrared receiver, utilizes the Occlusion Map of the infrared ray sensor dot matrix acquisition object of described infrared receiver to comprise:
Described object passes through between infrared ray dispensing device and infrared receiver, when object enters described infrared ray sensor dot matrix fully, object is carried out cross-sectional scans, obtains the Occlusion Map of object;
Described cross-sectional area according to described Occlusion Map calculating object comprises:
The minimum rectangle area that every four adjacent infrared ray sensors that are blocked in described Occlusion Map form is h * d, the number of the minimum rectangle of the infrared ray sensor that is blocked by clearance, (h * d), wherein λ is the minimum rectangle number to calculate the cross-sectional area S=λ of object;
Describedly calculate object volume according to described cross-sectional area and default object width and comprise:
(h * d), wherein, w is default object width to object volume V=w * S=w λ.
6. one kind based on ultrared object volume estimating system, it is characterized in that, comprising:
The Occlusion Map acquiring unit is used for object and passes through between infrared ray dispensing device and infrared receiver, utilizes the Occlusion Map of the infrared ray sensor dot matrix acquisition object of described infrared receiver;
The cross-sectional area computing unit is used for the cross-sectional area according to described Occlusion Map calculating object;
The object volume computing unit is used for calculating object volume according to described cross-sectional area and the object width of presetting.
7. according to claim 6 a kind of based on ultrared object volume estimating system, it is characterized in that:
Described infrared ray sensor dot matrix is two infrared ray sensors that mutually stagger of row, and the distance in every row infrared ray sensor between adjacent two infrared ray sensors is h, and the distance between two row infrared ray sensors is d;
Described Occlusion Map acquiring unit specifically comprises:
Block time logging modle one, be used for object and pass through between infrared ray dispensing device and infrared receiver, the time that makes object begin to block the infrared ray sensor of first row is designated as t
A, the time that object begins to block the infrared ray sensor of secondary series is designated as t
B
Occlusion Map forms module one, is used for from time t
ABegin object is carried out cross-sectional scans, the infrared ray sensor that during every △ t excessively, interocclusal record is blocked, until object leaves the infrared ray sensor of secondary series, the blocking in record of infrared ray sensor that record is mapped to first row of blocking with the infrared ray sensor of secondary series, consist of a time dependent record that always blocks, the described record that always blocks forms Occlusion Map;
Described cross-sectional area computing unit specifically comprises:
Horizontal velocity computing module one, for the horizontal Negotiation speed u that calculates object, wherein,
Minimum rectangle area computing module one, be used for calculating every four the minimum rectangle areas that the adjacent infrared ray sensor that is blocked forms of Occlusion Map, vertically be divided into mutually h/2 between vertical adjacent two infrared ray sensors that are blocked in described Occlusion Map, lateral separation L=u between horizontal adjacent two infrared ray sensors that are blocked in described Occlusion Map * Δ t, the minimum rectangle area that every four the adjacent infrared ray sensors that are blocked in described Occlusion Map form is h/2 * L;
Cross-sectional area computing module one is used for the number of the minimum rectangle of the infrared ray sensor that is blocked by clearance, calculate object cross-sectional area S=λ (h/2 * L)=λ (h/2 * u * Δ t), wherein λ is the minimum rectangle number;
Described object volume
Wherein, w is default object width.
8. according to claim 6 a kind of based on ultrared object volume estimating system, it is characterized in that:
Described infrared ray sensor dot matrix is two infrared ray sensors that mutually stagger of row, and the distance in every row infrared ray sensor between adjacent two infrared ray sensors is h, and the distance between two row infrared ray sensors is d;
Described Occlusion Map acquiring unit specifically comprises:
Block time logging modle two, be used for object and pass through between infrared ray dispensing device and infrared receiver, the time that makes object begin to block the infrared ray sensor of first row is designated as t
A, the time that object begins to block the infrared ray sensor of secondary series is designated as t
B
Occlusion Map forms module two, is used for from time t
ABegin object is carried out cross-sectional scans, the infrared ray sensor that during every △ t excessively, interocclusal record is blocked until object leaves the infrared ray sensor of first row, consists of a time dependent record that blocks, and the described record that blocks forms Occlusion Map;
Described cross-sectional area computing unit specifically comprises:
Horizontal velocity computing module two, for the horizontal Negotiation speed u that calculates object, wherein,
Minimum rectangle area computing module two, be used for calculating every four the minimum rectangle areas that the adjacent infrared ray sensor that is blocked forms of Occlusion Map, vertically be divided into mutually h/2 between vertical adjacent two infrared ray sensors that are blocked in described Occlusion Map, lateral separation L=u between horizontal adjacent two infrared ray sensors that are blocked in described Occlusion Map * Δ t, the minimum rectangle area that every four the adjacent infrared ray sensors that are blocked in described Occlusion Map form is h/2 * L;
Cross-sectional area computing module two is used for the number of the minimum rectangle of the infrared ray sensor that is blocked by clearance, calculate object cross-sectional area S=λ (h/2 * L)=λ (h/2 * u * Δ t), wherein λ is the minimum rectangle number;
Described object volume
Wherein, w is default object width.
9. according to claim 6 a kind of based on ultrared object volume estimating system, it is characterized in that:
Described infrared ray sensor dot matrix is a row infrared ray sensor, and the distance in this row infrared ray sensor between adjacent two infrared ray sensors is h;
Utilize the Occlusion Map of the infrared ray sensor dot matrix acquisition object of described infrared receiver to be specially:
Object passes through between infrared ray dispensing device and infrared receiver, when blocking this row infrared ray sensor, object begins object is carried out cross-sectional scans, the infrared ray sensor that during every △ t excessively, interocclusal record is blocked, until object leaves this row infrared ray sensor, consist of a time dependent record that blocks, the described record that blocks forms Occlusion Map;
Described cross-sectional area computing unit specifically comprises:
Minimum rectangle area computing module three, be used for calculating every four the minimum rectangle areas that the adjacent infrared ray sensor that is blocked forms of Occlusion Map, vertically be divided into mutually h between vertical adjacent two infrared ray sensors that are blocked in described Occlusion Map, lateral separation L=u between horizontal adjacent two infrared ray sensors that are blocked in described Occlusion Map * Δ t, wherein u is the transfer rate of object, and the minimum rectangle area that every four the adjacent infrared ray sensors that are blocked in described Occlusion Map form is h * L;
Cross-sectional area computing module three is used for the number of the minimum rectangle of the infrared ray sensor that is blocked by clearance, calculate object cross-sectional area S=λ (h * L)=λ (h * u * Δ t), wherein λ is the minimum rectangle number;
Described object volume V=w * S=w λ (h * u * Δ t), wherein, w is default object width.
10. according to claim 6 a kind of based on ultrared object volume estimating system, it is characterized in that:
Described infrared ray sensor dot matrix is the infrared ray sensor that the n row are arranged in parallel, the quantity of every row infrared ray sensor is m, distance in every row infrared ray sensor between adjacent two infrared ray sensors is h, distance between adjacent two row infrared ray sensors is d, and (n-1) * d is not less than the lateral length of object to be measured, and (m-1) * h is not less than vertical width of object to be measured;
Utilize the Occlusion Map of the infrared ray sensor dot matrix acquisition object of described infrared receiver to be specially:
Described object passes through between infrared ray dispensing device and infrared receiver, when object enters described infrared ray sensor dot matrix fully, object is carried out cross-sectional scans, obtains the Occlusion Map of object;
Described cross-sectional area computing unit specifically comprises:
Minimum rectangle area computing module four, be used for calculating every four the minimum rectangle areas that the adjacent infrared ray sensor that is blocked forms of Occlusion Map, the minimum rectangle area that every four the adjacent infrared ray sensors that are blocked in described Occlusion Map form is h * d;
Cross-sectional area computing module four is used for the number of the minimum rectangle of the infrared ray sensor that is blocked by clearance, and (h * d), wherein λ is the minimum rectangle number to calculate the cross-sectional area S=λ of object;
(h * d), wherein, w is default object width to described object volume V=w * S=w λ.
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| CN108168426A (en) * | 2017-11-29 | 2018-06-15 | 华侨大学 | A kind of measuring method of marine abrasion column volume |
| CN108168426B (en) * | 2017-11-29 | 2020-09-04 | 华侨大学 | Method for measuring volume of sea corrosion column |
| CN111307044A (en) * | 2020-04-21 | 2020-06-19 | 昆明昆船物流信息产业有限公司 | Method for measuring and calculating length, width and approximate volume of introduced material and program product |
| CN113313803A (en) * | 2021-06-11 | 2021-08-27 | 梅卡曼德（北京）机器人科技有限公司 | Stack type analysis method and device, computing equipment and computer storage medium |
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