CN107240213A - A kind of warehousing management intelligent early-warning method - Google Patents
A kind of warehousing management intelligent early-warning method Download PDFInfo
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- CN107240213A CN107240213A CN201710560061.7A CN201710560061A CN107240213A CN 107240213 A CN107240213 A CN 107240213A CN 201710560061 A CN201710560061 A CN 201710560061A CN 107240213 A CN107240213 A CN 107240213A
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- China
- Prior art keywords
- monitoring
- image
- material position
- threshold value
- reference picture
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
Abstract
The invention discloses a kind of warehousing management intelligent early-warning method, using material position as monitoring references object, the real-time monitoring for storage material can be achieved, the grain in silo is for example deposited in especially for unlimited storage, monitoring safety can be ensured by level monitoring, error is prevented；The people or machine that contact storage material are monitored by the contrast of abnormal reference picture, such as container of the material after packaging can be monitored, to expecting to supplement for the situation that monitoring can not monitor package interior.In the present invention, it is combined by level monitoring and abnormal reference picture control, is conducive to avoiding the safety problem in the identification space of periodicity image recognition, so, be conducive to avoiding must carry out image recognition real-time to monitoring image, so as to advantageously reduce image recognition burden.
Description
Technical field
The present invention relates to storehouse management technical field, more particularly to a kind of warehousing management intelligent early-warning method.
Background technology
In storehouse management, safety precaution always is the most important thing.Kept an eye on from earliest manpower, intelligence prison till now
Control, depot safety is taken precautions against mode and improved all the time, but the speed cracked is faster.
At present, depot safety, which is taken precautions against mostly, is carried out by intelligent monitoring, still, and existing monitor mode is all by monitoring
The on off state of door lock or door is carried out.With " taking thing every sky " event more and more frequently, this monitor mode be difficult meet
Demand.
The content of the invention
The technical problem existed based on background technology, the present invention proposes a kind of warehousing management intelligent early-warning method.
A kind of warehousing management intelligent early-warning method proposed by the present invention, comprises the following steps：
S1, default material position threshold value, and default abnormal reference picture；
S2, warehouse is monitored in real time, obtain monitoring image；
S3, in real time acquisition materials handling application, material request include storage address, material variable volume and operating time；
S4, image recognition is carried out to monitoring image, control material position threshold value and abnormal reference picture determine whether abnormal row
For；
S5, it is that video capture is then carried out to storage scene, and to destination object early warning；It is no, then return to step S4；
S6, judge whether current time reaches the initial time of operating time in materials handling application；
S7, it is then to stop carrying out monitoring image image recognition, and timing, until the terminal of operating time is reached, according to
Material variable volume updates material position threshold value, is then back to step S4；It is no, then return to step S4.
Preferably, step S4 is specially：The abnormal reference picture of control judges to whether there is abnormal behaviour in monitoring image；And
Material position actual value is obtained according to monitoring image, material position actual value is compared with material position threshold value, abnormal behaviour is judged whether.
Preferably, step S4 specifically includes following steps：
S41, judge whether current monitor image humanoid figure's picture occurs；
S42, it is then to be contrasted current monitor image with abnormal reference picture；It is no, then perform step S45；
S43, determine whether the abnormal reference picture of any one width and current monitor image registration reach it is default heavy
Close threshold value；
S44, it is then to judge that abnormal behaviour occurs in Current warehouse, perform step S5；
It is S45, no, then material position actual value is obtained according to monitoring image, judge whether material position actual value meets with material position threshold value；
It is, then return to step S41, no, then return to step S44.
Preferably, overlap threshold value and be not less than 80%.
Preferably, step S5 is specially：Video capture is carried out to storage scene, and obtains the image generation captured
Warning information is sent to default destination object.
Preferably, step S5 also includes：Obtain current monitor video and separate storage.
In the present invention, using material position as monitoring references object, the real-time monitoring for storage material can be achieved, especially for
Unlimited storage is for example deposited in the grain in silo, can ensure monitoring safety by level monitoring, prevent error；Pass through abnormal ginseng
The contrast for examining image is monitored to the people or machine that contact storage material, and such as container of the material after packaging can be carried out
Monitoring, to expecting to supplement for the situation that monitoring can not monitor package interior.In the present invention, pass through level monitoring and abnormal ginseng
Examine image contrast to be combined, be conducive to avoiding the safety problem in the identification space of periodicity image recognition, in this way, being conducive to avoiding
Must carry out image recognition real-time to monitoring image so that advantageously reduce image recognition burden.
In the present invention, material request includes storage address, material variable volume and operating time.Storage address is that material is grasped
Object is specify that as application, the operating time specify that the materials handling application of opposite depot performs the time, for avoid will be legal
Operation as abnormal behaviour provide evades the period, so as to avoid storing in a warehouse normal transfer when caused false alarm.
In the present invention, material variable volume specify that in target warehouse to should materials handling application perform after material position become
Change, by carrying out intelligent updating to material position threshold value, advantageously ensure that level monitoring, the accurate of abnormal behaviour is judged according to material position
Degree.
Brief description of the drawings
Fig. 1 is a kind of warehousing management intelligent early-warning method flow diagram proposed by the present invention.
Embodiment
A kind of reference picture 1, warehousing management intelligent early-warning method proposed by the present invention, comprises the following steps.
S1, default material position threshold value, and default abnormal reference picture.
S2, warehouse is monitored in real time, obtain monitoring image.
S3, in real time acquisition materials handling application, material request include storage address, material variable volume and operating time.
Storage address is that materials handling application specify that object, when the operating time specify that the materials handling application of opposite depot is performed
Between, evade the period to avoid providing legal operation as abnormal behaviour.Material variable volume specify that target warehouse
In to should materials handling application perform after material position change, when the materials handling application is that material is stored into warehouse, then thing
It is positive number to expect variable volume；When the materials handling application is to call material away from warehouse, then material variable volume is negative.
S41, judge whether current monitor image humanoid figure's picture occurs.
S42, it is then to be contrasted current monitor image with abnormal reference picture；It is no, then perform step S45.With reference to step
In rapid S41, present embodiment, using humanoid figure as danger line, only when occur humanoid figure as when just by current monitor figure
As being contrasted with abnormal reference picture, be conducive to the work load for avoiding realtime graphic contrast attenation factor from coming, advantageously ensure that the intelligence
The normal work of energy method for early warning.Especially in bulk storage plant management system, when it is multiple to supervise warehouse, by this step
Suddenly, that is, the progress image comparison judgement in staff's inspection is ensure that, prevents criminal from utilizing staff's identity confusion
Audiovisual；It turn avoid the not cleer and peaceful reaction speed of primary and secondary caused to multiple warehouses progress realtime graphic contrast slow.
S43, determine whether the abnormal reference picture of any one width and current monitor image registration reach it is default heavy
Close threshold value.In present embodiment, overlap threshold value and be not less than 80%.
In this step, then the image of candid photograph can be carried out with the abnormal reference picture of each width one by one by capturing image
Contrast judges registration.In this way, video analysis is converted into graphical analysis, difficulty is advantageously reduced, efficiency is improved.
S44, it is then to judge that abnormal behaviour occurs in Current warehouse, perform step S5.
It is S45, no, then material position actual value is obtained according to monitoring image, judge whether material position actual value meets with material position threshold value；
It is, then return to step S41, no, then return to step S44.
With reference to step S41 to S47, image recognition is carried out to monitoring image, control material position threshold value and abnormal reference picture are sentenced
It is disconnected whether to have abnormal behaviour；Specifically, step S41 to S47, the abnormal reference picture of control is judged in monitoring image with the presence or absence of different
Chang Hangwei, and material position actual value is obtained according to monitoring image, material position actual value is compared with material position threshold value, judged whether different
Chang Hangwei..In present embodiment, using material position as monitoring references object, the real-time monitoring for storage material can be achieved, especially
For opening wide the grain that storage is for example deposited in silo, monitoring safety can be ensured by level monitoring, error is prevented.This implementation
In mode, the people or machine that contact storage material are monitored by the contrast of abnormal reference picture, can be to packaging after
Material such as container is monitored, to expecting to supplement for the situation that monitoring can not monitor package interior.Present embodiment
In, it is combined by level monitoring and abnormal reference picture control, is conducive to avoiding the identification space of periodicity image recognition
Safety problem, in this way, be conducive to avoiding must carry out image recognition real-time to monitoring image, so as to advantageously reduce image recognition
Burden.S5, it is that video capture is then carried out to storage scene, and to destination object early warning.It is no, then return to step S41.This step
In, obtain the image generation warning information captured and be sent to default destination object, in this way, destination object can be by looking into
See that candid photograph image judges abnormal behaviour urgency level, so as to make reply.
In present embodiment, if it is determined that abnormal behaviour currently occur, step S5 also includes：Obtain current monitor video simultaneously
Separate storage, so that staff can fast and easily check that abnormal behaviour occurs to start and later image in time, so that right
Abnormal behaviour is tracked.
S6, judge whether current time reaches the initial time of operating time in materials handling application.
S7, it is then to stop carrying out monitoring image image recognition, and timing, until the terminal of operating time is reached, according to
Material variable volume updates material position threshold value, is then back to step S41.It is no, then return to step S41.In this step, by material position
Threshold value carries out intelligent updating, advantageously ensures that level monitoring, the degree of accuracy of abnormal behaviour is judged according to material position.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art the invention discloses technical scope in, technique according to the invention scheme and its
Inventive concept is subject to equivalent substitution or change, should all be included within the scope of the present invention.
Claims (6)
1. a kind of warehousing management intelligent early-warning method, it is characterised in that comprise the following steps：
S1, default material position threshold value, and default abnormal reference picture；
S2, warehouse is monitored in real time, obtain monitoring image；
S3, in real time acquisition materials handling application, material request include storage address, material variable volume and operating time；
S4, image recognition is carried out to monitoring image, control material position threshold value and abnormal reference picture determine whether abnormal behaviour；
S5, it is that video capture is then carried out to storage scene, and to destination object early warning；It is no, then return to step S4；
S6, judge whether current time reaches the initial time of operating time in materials handling application；
S7, it is then to stop carrying out monitoring image image recognition, and timing, until the terminal of operating time is reached, according to material
Variable volume updates material position threshold value, is then back to step S4；It is no, then return to step S4.
2. a kind of warehousing management intelligent early-warning method as claimed in claim 1, it is characterised in that step S4 is specially：Control
Abnormal reference picture judges to whether there is abnormal behaviour in monitoring image；And material position actual value is obtained according to monitoring image, it will expect
Position actual value is compared with material position threshold value, judges whether abnormal behaviour.
3. a kind of warehousing management intelligent early-warning method as claimed in claim 2, it is characterised in that step S4 specifically includes following
Step：
S41, judge whether current monitor image humanoid figure's picture occurs；
S42, it is then to be contrasted current monitor image with abnormal reference picture；It is no, then perform step S45；
S43, determine whether that the abnormal reference picture of any one width and the registration of current monitor image reach and default overlap threshold
Value；
S44, it is then to judge that abnormal behaviour occurs in Current warehouse, perform step S5；
It is S45, no, then material position actual value is obtained according to monitoring image, judge whether material position actual value meets with material position threshold value；It is,
Then return to step S41, no, then return to step S44.
4. a kind of warehousing management intelligent early-warning method as claimed in claim 3, it is characterised in that overlap threshold value and be not less than
80%.
5. a kind of warehousing management intelligent early-warning method as claimed in claim 1, it is characterised in that step S5 is specially：To storehouse
Storage scene carries out video capture, and the image generation warning information that acquisition has been captured is sent to default destination object.
6. a kind of warehousing management intelligent early-warning method as described in claim 1 or 5, it is characterised in that step S5 also includes：Obtain
Take current monitor video and separate storage.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710560061.7A CN107240213A (en) | 2017-07-11 | 2017-07-11 | A kind of warehousing management intelligent early-warning method |
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| CN201710560061.7A CN107240213A (en) | 2017-07-11 | 2017-07-11 | A kind of warehousing management intelligent early-warning method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108759980A (en) * | 2018-04-03 | 2018-11-06 | 长沙沃哲信息技术有限公司 | A kind of method of grain depot management, equipment and computer readable storage medium |
| CN110813977A (en) * | 2019-09-25 | 2020-02-21 | 浙江天之元物流科技有限公司 | On-site recycling and retreatment process for bottom materials |
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| CN108759980A (en) * | 2018-04-03 | 2018-11-06 | 长沙沃哲信息技术有限公司 | A kind of method of grain depot management, equipment and computer readable storage medium |
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Application publication date: 20171010 |
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