CN107609498A - A kind of data processing method of computer supervisory control system - Google Patents
A kind of data processing method of computer supervisory control system Download PDFInfo
- Publication number
- CN107609498A CN107609498A CN201710779535.7A CN201710779535A CN107609498A CN 107609498 A CN107609498 A CN 107609498A CN 201710779535 A CN201710779535 A CN 201710779535A CN 107609498 A CN107609498 A CN 107609498A
- Authority
- CN
- China
- Prior art keywords
- image
- moment
- blocks
- processing method
- monitoring
- 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.)
- Granted
Links
Landscapes
- Image Analysis (AREA)
- Image Processing (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a kind of data processing method of computer supervisory control system, the present invention realizes the automatic identification judgement processing to computer monitoring data using brand-new data processing method, it to image information by carrying out dividing processing, and compare the difference between time interval T two images, realize the judgement to whether there is doubtful problem in image in time T, the present invention propose it is a kind of it is brand-new by calculate gray scale entropy than form carry out data and image processing mode, improve data monitoring information identifiability can reliability.
Description
Technical field
The present invention relates to a kind of data processing method of computer supervisory control system, belong to computer monitoring data processing technique
Field.
Background technology
Intelligent monitor system is to use image procossing, pattern-recognition and computer vision technique, by monitoring system
Increase intelligent video analysis module, by the powerful data-handling capacity of computer filter out video pictures it is useless or interference believe
Crucial useful information in video source is extracted in breath, automatic identification different objects, analysis, fast and accurately localized accident scene, judges
Abnormal conditions in monitored picture, and alarm or the other actions of triggering are sent in a manner of most fast and optimal, so as to effectively carry out
Early warning in advance, handle in thing, full-automatic, round-the-clock, the intelligence system that monitors in real time collected evidence in time afterwards.
Intelligent monitor system is carried out usually by the way of camera is set at present, current computer digital animation
Although method comparison is more, can not still realize the automatic identification to suspect object mostly, identification get up it is general unstable,
Therefore, it is necessary to a kind of automatic identification processing realized to monitoring information data be designed, to realize automatic monitoring.
The present invention is directed to problem above, there is provided a kind of data processing method of computer supervisory control system, to ensure data
The automatic identification of monitoring information, improve data-handling capacity.
The content of the invention
To achieve the above object, the present invention provides following technical scheme：A kind of data processing side of computer supervisory control system
Method, it is characterised in that it comprises the following steps：
（1）The monitored picture that computer is sent according to the monitoring monitor, carry out choosing a figure to be analyzed at interval of moment T
Picture；
（2）Data processor carries out dividing processing to moment t image to be analyzed, is divided into m × n blocks, and calculate respectively
The pixel grey scale average value of i-th × j blocks, is designated as, then, image to be analyzed of the data processor to the moment at moment t+T
Identical dividing processing is carried out, m × m blocks is divided into, equally calculates the pixel grey scale average value of i-th × j blocks respectively, be designated as；
（3）According to、T and i-th × j blocks at t+T moment shared weight proportion in the images are calculated respectively、：
,；
（4）The gray scale entropy of t and i-th × j blocks at t+T moment in the images is calculated respectively、：
,；
（5）The average value of the gray scale entropy of t image and t+T time chart pictures is calculated respectively、：
,；
（6）The entropy ratio of t image and i-th × j blocks in t+T time chart pictures is calculated respectively、：
,；
（7）The maximum entropy ratio in t image and t+T time chart pictures is extracted respectively：
,；
（8）Maximum entropy is established than comparison function, at the time of according to the comparison function to determine in monitoring system in the T of interval whether
It is abnormal with picture control, if comparison function value is more than given threshold, by the momentMonitoring image information send
To operator on duty, further audited for operator on duty, wherein, B is the integer more than 1；
Wherein, maximum entropy is specially than comparison function：
,
Wherein, r andIt is accounting coefficient, its value is all higher than 0 and is less than 1,For radial direction ratio, its value is the face that image splits size
Product ratio, i.e.,,For set angle angle value, its size be more than, it is less than, given threshold
According to monitored object sets itself.
Further, preferably, the B values are 3-8.
Further, it is to use wirelessly to be transferred to preferably, when monitoring image information is sent into operator on duty
Operator on duty.
Compared with prior art, the beneficial effects of the invention are as follows：
The present invention realizes the automatic identification judgement processing to computer monitoring data using brand-new data processing method, and it passes through
Dividing processing is carried out to image information, and compares the difference between time interval T two images, is realized to image in time T
The interior judgement with the presence or absence of doubtful problem, the present invention propose it is a kind of it is brand-new by calculate gray scale entropy than form carry out
Data and image processing mode, improve the reliability of the identifiability energy of data monitoring information.
Brief description of the drawings
Fig. 1 is a kind of schematic flow sheet of the data processing method of computer supervisory control system of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
Referring to Fig. 1, the present invention provides a kind of technical scheme：A kind of data processing method of computer supervisory control system, its
Comprise the following steps：
（1）The monitored picture that computer is sent according to the monitoring monitor, carry out choosing a figure to be analyzed at interval of moment T
Picture；
（2）Data processor carries out dividing processing to moment t image to be analyzed, is divided into m × n blocks, and calculate respectively
The pixel grey scale average value of i-th × j blocks, is designated as, then, image to be analyzed of the data processor to the moment at moment t+T
Identical dividing processing is carried out, m × m blocks is divided into, equally calculates the pixel grey scale average value of i-th × j blocks respectively, be designated as；
（3）According to、T and i-th × j blocks at t+T moment shared weight proportion in the images are calculated respectively、：
,；
（4）The gray scale entropy of t and i-th × j blocks at t+T moment in the images is calculated respectively、：
,；
（5）The average value of the gray scale entropy of t image and t+T time chart pictures is calculated respectively、：
,；
（6）The entropy ratio of t image and i-th × j blocks in t+T time chart pictures is calculated respectively、：
,；
（7）The maximum entropy ratio in t image and t+T time chart pictures is extracted respectively：
,；
（8）Maximum entropy is established than comparison function, at the time of according to the comparison function to determine in monitoring system in the T of interval whether
It is abnormal with picture control, if comparison function value is more than given threshold, by the momentMonitoring image information send
To operator on duty, further audited for operator on duty, wherein, B is the integer more than 1；
Wherein, maximum entropy is specially than comparison function：
,
Wherein, r andIt is accounting coefficient, its value is all higher than 0 and is less than 1,For radial direction ratio, its value is the face that image splits size
Product ratio, i.e.,,For set angle angle value, its size be more than, it is less than, given threshold
According to monitored object sets itself.
Wherein, in the present embodiment, the B values are 3-8.It is to use when monitoring image information is sent into operator on duty
Wirelessly it is transferred to operator on duty.
The present invention realizes the automatic identification judgement processing to computer monitoring data using brand-new data processing method, its
By carrying out dividing processing to image information, and compare the difference between time interval T two images, realize in time T
Whether there is the judgement of doubtful problem in image, the present invention propose it is a kind of it is brand-new by calculate gray scale entropy than form come
Data and image processing mode is carried out, improves the reliability of the identifiability energy of data monitoring information.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of changes, modification can be carried out to these embodiments, replace without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (3)
1. a kind of data processing method of computer supervisory control system, it is characterised in that it comprises the following steps：
（1）The monitored picture that computer is sent according to the monitoring monitor, carry out choosing a figure to be analyzed at interval of moment T
Picture；
（2）Data processor carries out dividing processing to moment t image to be analyzed, is divided into m × n blocks, and calculate respectively
The pixel grey scale average value of i-th × j blocks, is designated as, then, image to be analyzed of the data processor to the moment at moment t+T
Identical dividing processing is carried out, m × m blocks is divided into, equally calculates the pixel grey scale average value of i-th × j blocks respectively, be designated as；
（3）According to、T and i-th × j blocks at t+T moment shared weight proportion in the images are calculated respectively、：
,；
（4）The gray scale entropy of t and i-th × j blocks at t+T moment in the images is calculated respectively、：
,；
（5）The average value of the gray scale entropy of t image and t+T time chart pictures is calculated respectively、：
,；
（6）The entropy ratio of t image and i-th × j blocks in t+T time chart pictures is calculated respectively、：
,；
（7）The maximum entropy ratio in t image and t+T time chart pictures is extracted respectively：
,；
（8）Maximum entropy is established than comparison function, at the time of according to the comparison function to determine in monitoring system in the T of interval whether
It is abnormal with picture control, if comparison function value is more than given threshold, by the momentMonitoring image information send
To operator on duty, further audited for operator on duty, wherein, B is the integer more than 1；
Wherein, maximum entropy is specially than comparison function：
,
Wherein, r andIt is accounting coefficient, its value is all higher than 0 and is less than 1,For radial direction ratio, its value is the face that image splits size
Product ratio, i.e.,,For set angle angle value, its size be more than, it is less than, given threshold
According to monitored object sets itself.
A kind of 2. data processing method of computer supervisory control system according to claim 1, it is characterised in that：The B values
For 3-8.
A kind of 3. data processing method of computer supervisory control system according to claim 1, it is characterised in that：By monitoring figure
It is to use wirelessly to be transferred to operator on duty when being sent to operator on duty as information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710779535.7A CN107609498B (en) | 2017-09-01 | 2017-09-01 | Data processing method of computer monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710779535.7A CN107609498B (en) | 2017-09-01 | 2017-09-01 | Data processing method of computer monitoring system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107609498A true CN107609498A (en) | 2018-01-19 |
| CN107609498B CN107609498B (en) | 2020-08-18 |
Family
ID=61057055
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710779535.7A Active CN107609498B (en) | 2017-09-01 | 2017-09-01 | Data processing method of computer monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107609498B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109934870A (en) * | 2019-01-30 | 2019-06-25 | 西安天伟电子系统工程有限公司 | Object detection method, device, equipment, computer equipment and storage medium |
| CN110681097A (en) * | 2019-09-30 | 2020-01-14 | 张瑞祺 | Full-intelligent fire extinguishing system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000339329A (en) * | 1999-05-27 | 2000-12-08 | Nippon Telegr & Teleph Corp <Ntt> | Method and device for monitoring and alarming image and storage medium with image monitoring and alarm program stored therein |
| CN105868722A (en) * | 2016-04-05 | 2016-08-17 | 国家电网公司 | Identification method and system of abnormal power equipment images |
| CN106327791A (en) * | 2016-08-31 | 2017-01-11 | 朱明� | Exceptional event real-time alarm method and system |
| KR101766467B1 (en) * | 2016-02-15 | 2017-08-08 | 광주과학기술원 | Alarming apparatus and methd for event occurrence, and providing method of event occurrence determination model |
-
2017
- 2017-09-01 CN CN201710779535.7A patent/CN107609498B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000339329A (en) * | 1999-05-27 | 2000-12-08 | Nippon Telegr & Teleph Corp <Ntt> | Method and device for monitoring and alarming image and storage medium with image monitoring and alarm program stored therein |
| KR101766467B1 (en) * | 2016-02-15 | 2017-08-08 | 광주과학기술원 | Alarming apparatus and methd for event occurrence, and providing method of event occurrence determination model |
| CN105868722A (en) * | 2016-04-05 | 2016-08-17 | 国家电网公司 | Identification method and system of abnormal power equipment images |
| CN106327791A (en) * | 2016-08-31 | 2017-01-11 | 朱明� | Exceptional event real-time alarm method and system |
Non-Patent Citations (2)
| Title |
|---|
| GUO JING ET AL.: "Foreground motion detection by difference-based spatial temporal entropy image", 《 2004 IEEE REGION 10 CONFERENCE TENCON 2004》 * |
| MD. HAIDAR SHARIF ET AL.: "An entropy approach for abnormal activities detection in video streams", 《PATTERN RECOGNITION》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109934870A (en) * | 2019-01-30 | 2019-06-25 | 西安天伟电子系统工程有限公司 | Object detection method, device, equipment, computer equipment and storage medium |
| CN110681097A (en) * | 2019-09-30 | 2020-01-14 | 张瑞祺 | Full-intelligent fire extinguishing system |
| CN110681097B (en) * | 2019-09-30 | 2021-04-16 | 张瑞祺 | Full-intelligent fire extinguishing system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107609498B (en) | 2020-08-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110642109B (en) | Vibration detection method and device for lifting equipment, server and storage medium | |
| CN107105207A (en) | Target monitoring method, target monitoring device and video camera | |
| US20050078179A1 (en) | Modulate aptamer and method for detecting target protein by using the same | |
| CN106791655B (en) | A kind of method for processing video frequency and device | |
| CN114093142B (en) | Object-perceived temperature anomaly monitoring and early warning by combining visual sensing and thermal sensing | |
| US20130136350A1 (en) | Apparatus and method for foreground detection | |
| CN103366506A (en) | Device and method for automatically monitoring telephone call behavior of driver when driving | |
| CN109635758A (en) | Wisdom building site detection method is dressed based on the high altitude operation personnel safety band of video | |
| CN211209824U (en) | Intelligent security monitoring system for community | |
| KR102315371B1 (en) | Smart cctv control and warning system | |
| CN102542246A (en) | Abnormal face detection method for ATM (Automatic Teller Machine) | |
| CN101976353A (en) | Statistical method and device of low density crowd | |
| CN102567987A (en) | Method for detecting manual fuzzy operation trace in image synthesis tampering | |
| CN103093179A (en) | Video strip quantitative calculation method | |
| CN107480653A (en) | passenger flow volume detection method based on computer vision | |
| CN107609498A (en) | A kind of data processing method of computer supervisory control system | |
| CN104503351B (en) | Intelligent monitoring system and method for laying overhead line | |
| CN110728212B (en) | Road well lid monitoring device and monitoring method based on computer vision | |
| CN111160321A (en) | Storage battery car goes up terraced detection and early warning system | |
| CN107370985A (en) | Pedestrian's dynamic display method and system | |
| CN114155472A (en) | Method, device and equipment for detecting abnormal state of factory scene empty face protection equipment | |
| CN106789485B (en) | A kind of easily smart home monitoring system | |
| CN111241918B (en) | Vehicle tracking prevention method and system based on face recognition | |
| CN112532927A (en) | Intelligent safety management and control system for construction site | |
| CN107895365B (en) | Image matching method and monitoring system for power transmission channel external damage protection |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |