CN110674679A - Intelligent human-vehicle management and control system and method for operation and maintenance of transformer substation - Google Patents
Intelligent human-vehicle management and control system and method for operation and maintenance of transformer substation Download PDFInfo
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- CN110674679A CN110674679A CN201910740478.0A CN201910740478A CN110674679A CN 110674679 A CN110674679 A CN 110674679A CN 201910740478 A CN201910740478 A CN 201910740478A CN 110674679 A CN110674679 A CN 110674679A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B15/00—Supervisory desks or panels for centralised control or display
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/08—Detecting or categorising vehicles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
Abstract
The invention discloses a transformer substation operation and maintenance intelligent man-vehicle management and control system and a method, wherein the transformer substation operation and maintenance intelligent man-vehicle management and control system comprises a camera, a monitoring module and a control module, wherein the camera is used for capturing image information, and the image information comprises human body information and vehicle information; the information sending unit is used for sending the image information captured by the camera to the central processing unit; the central processing unit is used for receiving the image information sent by the information sending unit and identifying the image information; the display unit is used for displaying the result after the identification processing of the central processing unit; and the alarm unit is connected with the central processing unit and used for alarming the abnormal information identified and processed by the central processing unit. The transformer substation operation and maintenance intelligent human-vehicle management and control system and method can accurately identify human body and vehicle information, the detection speed is high, the detection accuracy is high, and the safety and stability of the whole system are greatly improved.
Description
Technical Field
The invention relates to the technical field of transformer substation management, in particular to a transformer substation operation and maintenance intelligent human-vehicle management and control system and method.
Background
At present, in the field of automation of power system substations, a wide-area operation and maintenance method of substation automatic equipment is still blank, the operation and maintenance of the substation automatic equipment is mainly concentrated on a large number of scattered substations, the site operation is taken as the main operation, the overhaul efficiency is low, and the workload is large; and the monitoring factories are numerous, the operation and maintenance modes are different, the field maintenance difficulty is higher, and the operation and maintenance cost is higher. More, to the people's car management and control of transformer substation, lack effectual means, can not in time discover the matching mistake of people and car, cause the management efficiency low.
Disclosure of Invention
The invention aims to overcome the defects that in the prior art, the operation and maintenance means of a transformer substation are single, and effective means for managing and controlling people and vehicles is lacked, and provides an intelligent people and vehicle management and control system and method for operation and maintenance of the transformer substation.
The purpose of the invention is realized by the following technical scheme:
intelligent people's car management and control system of transformer substation's fortune dimension includes
The camera is used for capturing image information, and the image information comprises human body information and vehicle information;
the information sending unit is used for sending the image information captured by the camera to the central processing unit;
the central processing unit is used for receiving the image information sent by the information sending unit and identifying the image information;
the display unit is used for displaying the result after the identification processing of the central processing unit;
and the alarm unit is connected with the central processing unit and used for alarming the abnormal information identified and processed by the central processing unit.
As a preferred scheme, the human body information comprises face information, work cap and work clothes identification information and track information. The track information is the track of the human body, and ensures the human body to move in a normal area.
Preferably, the vehicle information includes vehicle body information and license plate information.
Preferably, the image information further comprises feature object image recognition, the feature object comprises digital information matched with the vehicle, an identification chip is further arranged in the feature object, the system further comprises a chip recognition unit used for recognizing the identification chip information in the feature object, and the information sending unit is further connected with the chip recognition unit.
As a preferred scheme, the characteristic object is a bracelet, and the digital information is a steel seal number on the bracelet.
A transformer substation operation and maintenance intelligent human-vehicle management and control method is based on a transformer substation operation and maintenance intelligent human-vehicle management and control system and comprises the following steps: step 1, a human body and a vehicle pass through a region to be detected, a camera scans the human body and the vehicle, and information of the human body and the vehicle is captured to form image information;
step 2, the information sending unit sends the image information to the central processing unit, and the central processing unit identifies the image information and compares the image information with the stored correct image information;
and 3, after the identification processing is finished, if the image information is successfully compared, judging that the human body and the vehicle information are normal, if the image information is failed to be compared, judging that the human body and the vehicle information are abnormal, and controlling an alarm unit to give an alarm by the central processing unit.
As a preferred scheme, the camera also captures bracelet image information, specifically a steel seal number on the bracelet; the chip identification unit identifies chip information, the steel seal number, the chip information and the license plate number of the vehicle are matched, if the matching is successful, the human body and the vehicle information are judged to be normal, if the matching is unsuccessful, the human body and the vehicle information are judged to be abnormal, and the central processing unit controls the alarm unit to give an alarm.
As a preferred scheme, the steel seal number is a string of numerical information, the chip information is another string of numerical information, the central processing unit combines the steel seal number and the digital information of the chip information through an encryption rule to form a new encrypted numerical value, the license plate information matched with the encrypted numerical value and the license plate information of the image information are successfully compared to each other to indicate that the matching is successful, and the license plate information matched with the encrypted numerical value and the license plate information of the image information are unsuccessfully compared to each other to indicate that the matching is unsuccessful. The design improves the safety level and ensures that only correct human body information and vehicle information can be successfully matched.
As a preferable scheme, the method for face recognition is to construct an improved loss function, the network prediction value is only dependent on the angle between the weight and the feature through weight normalization and feature normalization operations, the intra-class distance is reduced by subtracting the edge from the intra-class angle, and the inter-class distance is increased by adding the edge to the inter-class angle, so that the classification boundary is maximized. Therefore, the face images of the same category can be more compact, and the face images of different categories can be divided as much as possible, so that the face recognition accuracy is improved.
As a preferred scheme, the vehicle identification method is that a traditional method is adopted to realize rapid vehicle detection, and then a deep learning method is adopted to identify the vehicle; the license plate recognition method is realized by combining a traditional method and a deep learning method. If the traditional method is adopted for detecting the license plate, the speed is high but the precision is not enough, and if the deep learning method is adopted, the precision is high but the speed is low, so that the traditional method and the deep learning method are combined for detecting the license plate, and the detection speed and the precision are improved.
The intelligent human-vehicle management and control system and the intelligent human-vehicle management and control method for the operation and maintenance of the transformer substation can accurately identify human body and vehicle information, are high in detection speed and detection accuracy, and greatly improve the safety and stability of the whole system.
Drawings
Fig. 1 is a schematic circuit diagram of the present invention.
Wherein: 1. the device comprises a camera 2, an information sending unit 3, a central processing unit 4, a display unit 5, an alarm unit 6 and a chip identification unit.
Detailed Description
The invention is further described below with reference to the figures and examples.
Example (b): an intelligent human-vehicle management and control system for operation and maintenance of transformer substation, as shown in figure 1, comprises
A camera 1 for capturing image information including human body information and vehicle information;
an information sending unit 2 for sending the image information captured by the camera to the central processing unit;
the central processing unit 3 is used for receiving the image information sent by the information sending unit and identifying the image information;
the display unit 4 is used for displaying the result after the identification processing of the central processing unit;
the alarm unit 5 is connected with the central processing unit and used for alarming the abnormal information identified and processed by the central processing unit;
the human body information comprises face information, work cap and work clothes identification information and track information. The vehicle information comprises vehicle body information and license plate information. The system also comprises a chip identification unit 6 for identifying the identification chip information in the feature, and an information sending unit connected with the chip identification unit. The characteristic object is a bracelet, and the digital information is a steel seal number on the bracelet.
A transformer substation operation and maintenance intelligent human-vehicle management and control method is based on a transformer substation operation and maintenance intelligent human-vehicle management and control system and comprises the following steps: step 1, a human body and a vehicle pass through a region to be detected, a camera scans the human body and the vehicle, and information of the human body and the vehicle is captured to form image information;
step 2, the information sending unit sends the image information to the central processing unit, and the central processing unit identifies the image information and compares the image information with the stored correct image information;
and 3, after the identification processing is finished, if the image information is successfully compared, judging that the human body and the vehicle information are normal, if the image information is failed to be compared, judging that the human body and the vehicle information are abnormal, and controlling an alarm unit to give an alarm by the central processing unit.
The camera also captures bracelet image information, specifically a steel seal number on the bracelet; the chip identification unit identifies chip information, the steel seal number, the chip information and the license plate number of the vehicle are matched, if the matching is successful, the human body and the vehicle information are judged to be normal, if the matching is unsuccessful, the human body and the vehicle information are judged to be abnormal, and the central processing unit controls the alarm unit to give an alarm.
The steel seal number is a string of numerical information, the chip information is another string of numerical information, the central processing unit combines the digital information of the steel seal number and the chip information through an encryption rule to form a new encryption numerical value, the license plate information matched with the encryption numerical value and the license plate information of the image information are successfully compared to indicate that the matching is successful, and the license plate information matched with the encryption numerical value and the license plate information of the image information are unsuccessfully compared to indicate that the matching is unsuccessful.
The method for recognizing the human face is characterized in that an improved loss function is constructed, the operation of weight normalization and feature normalization is carried out, so that the network prediction value is only dependent on the angle between the weight and the feature, the intra-class distance is reduced by subtracting the edge from the intra-class angle, the inter-class distance is increased by adding the edge to the inter-class angle, and the classification boundary is maximized.
The vehicle identification method is characterized in that the traditional method is adopted to realize rapid vehicle detection, and then a deep learning method is adopted to identify the vehicle; the license plate recognition method is realized by combining a traditional method and a deep learning method.
Claims (10)
1. Intelligent people's car management and control system of transformer substation's fortune dimension, characterized by includes
The camera is used for capturing image information, and the image information comprises human body information and vehicle information;
the information sending unit is used for sending the image information captured by the camera to the central processing unit;
the central processing unit is used for receiving the image information sent by the information sending unit and identifying the image information;
the display unit is used for displaying the result after the identification processing of the central processing unit;
and the alarm unit is connected with the central processing unit and used for alarming the abnormal information identified and processed by the central processing unit.
2. The transformer substation operation and maintenance intelligent human-vehicle management and control system according to claim 1, wherein the human body information comprises human face information, work cap work clothes identification information and track information.
3. The transformer substation operation and maintenance intelligent human-vehicle management and control system according to claim 1, wherein the vehicle information comprises vehicle body information and license plate information.
4. The transformer substation operation and maintenance intelligent man-vehicle management and control system according to claim 1, characterized in that the image information further comprises feature object image recognition, the feature object comprises digital information matched with a vehicle, an identification chip is further arranged in the feature object, the system further comprises a chip recognition unit for recognizing the identification chip information in the feature object, and the information sending unit is further connected with the chip recognition unit.
5. The transformer substation operation and maintenance intelligent human-vehicle management and control system according to claim 4, characterized in that the feature is a bracelet, and the digital information is a steel seal number on the bracelet.
6. A transformer substation operation and maintenance intelligent human-vehicle management and control method is based on a transformer substation operation and maintenance intelligent human-vehicle management and control system and is characterized by comprising the following steps: step 1, a human body and a vehicle pass through a region to be detected, a camera scans the human body and the vehicle, and information of the human body and the vehicle is captured to form image information;
step 2, the information sending unit sends the image information to the central processing unit, and the central processing unit identifies the image information and compares the image information with the stored correct image information;
and 3, after the identification processing is finished, if the image information is successfully compared, judging that the human body and the vehicle information are normal, if the image information is failed to be compared, judging that the human body and the vehicle information are abnormal, and controlling an alarm unit to give an alarm by the central processing unit.
7. The transformer substation operation and maintenance intelligent human-vehicle management and control method according to claim 6, characterized in that the camera also captures bracelet image information, specifically a steel seal number on a bracelet; the chip identification unit identifies chip information, the steel seal number, the chip information and the license plate number of the vehicle are matched, if the matching is successful, the human body and the vehicle information are judged to be normal, if the matching is unsuccessful, the human body and the vehicle information are judged to be abnormal, and the central processing unit controls the alarm unit to give an alarm.
8. The transformer substation operation and maintenance intelligent human-vehicle management and control method according to claim 7, wherein the steel seal number is a string of numerical information, the chip information is another string of numerical information, the central processing unit combines the steel seal number and the digital information of the chip information through an encryption rule to form a new encryption numerical value, the license plate information matched with the encryption numerical value and the license plate information of the image information are successfully compared to indicate that the matching is successful, and the license plate information matched with the encryption numerical value and the license plate information of the image information are unsuccessfully compared to indicate that the matching is unsuccessful.
9. The transformer substation operation and maintenance intelligent human-vehicle management and control method according to claim 8, wherein the human face recognition method is used for constructing an improved loss function, the network prediction value is only dependent on the angle between the weight and the feature through weight normalization and feature normalization, the intra-class distance is reduced by subtracting the edge from the intra-class angle, the inter-class distance is increased by adding the edge to the inter-class angle, and the classification boundary is maximized.
10. The transformer substation operation and maintenance intelligent human-vehicle management and control method according to claim 8, characterized in that the vehicle identification method is to adopt a traditional method to realize rapid vehicle detection and then adopt a deep learning method to identify vehicles; the license plate recognition method is realized by combining a traditional method and a deep learning method.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111881788A (en) * | 2020-07-14 | 2020-11-03 | 广西电网有限责任公司钦州供电局 | Scheduling information early warning system and method |
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Application publication date: 20200110 |