CN113067845A - On-duty detection platform applying numerical analysis - Google Patents
On-duty detection platform applying numerical analysis Download PDFInfo
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- CN113067845A CN113067845A CN202011409219.9A CN202011409219A CN113067845A CN 113067845 A CN113067845 A CN 113067845A CN 202011409219 A CN202011409219 A CN 202011409219A CN 113067845 A CN113067845 A CN 113067845A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
-
- 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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention relates to an on-duty detection platform applying numerical analysis, which comprises: the data uploading device is connected with a server of the duty monitoring party through a wireless network and is used for wirelessly sending the received manned duty grade to the server; the signal analysis mechanism is respectively connected with the data uploading equipment and the duration analysis equipment and is used for sending out a corresponding attended grade based on a numerical range that the received first reference data occupies a range of 0 to 1 of the proportion of the second reference data; and the duration analysis device is used for analyzing the first reference data and the second reference data related to the duty station. The on-duty detection platform applying numerical analysis is simple to operate and convenient to manage. The intelligent field identification can be carried out on the effective on-duty time of the on-duty station so as to judge the proportion of the effective on-duty time occupying the whole time, thereby providing valuable reference data for the management of the on-duty station.
Description
Technical Field
The invention relates to the field of visual monitoring, in particular to an on-duty detection platform applying numerical analysis.
Background
The visual monitoring system monitors the monitored equipment and the environment quantity, and partial monitoring systems also monitor the images of the machine room according to the maintenance requirement. The field monitoring equipment of the visual monitoring system mainly comprises a camera, a lens, a holder, a controller and other equipment, wherein the camera is mainly used for converting an optical signal into an electric signal (video), and the lens is used for adjusting an aperture and a focal length so as to achieve a clear imaging effect; the pan-tilt is responsible for moving the camera up, down, left and right; the controller obtains commands from the upper level, controls the holder and the lens, and can provide linkage interfaces of other field devices and camera shooting.
The visual monitoring system can also configure a picture divider, a video switching matrix, a video recorder, different coding equipment, decoding equipment, a display and other equipment according to different image networking and coding modes, and the equipment needs to be flexibly configured according to different networking and system requirements.
Currently, a duty station is usually provided at each important place of a company, a unit or a city facility to cope with the intrusion or criminal behavior of a lawbreaker, however, since the duty station is relatively boring, the staff performing the duty is easily subjected to the lacked behavior, and it is not practical to employ a special person to monitor the duty personnel.
Disclosure of Invention
In order to solve the related technical problems in the prior art, the invention provides an on-duty detection platform applying numerical analysis, which can perform intelligent field identification on the effective on-duty time of the on-duty station so as to judge the proportion of the effective on-duty time occupying the whole time, thereby providing valuable reference data for the management of the on-duty station.
Therefore, the invention needs to have the following three key points:
(1) judging that the duty of the current duty post is effective when a human body target exists in the duty post and wears duty clothes corresponding to the duty post;
(2) determining the manned duty level of the duty station related to the proportion based on the proportion of the effective duty time occupying the preset time range in the preset time range, and providing first-hand data for supervision of a supervisor;
(3) and judging whether the human body target corresponding to the human body sub-image wears the duty clothing corresponding to the duty position or not based on a preset pattern or a preset color corresponding to the duty clothing corresponding to the duty position.
According to an aspect of the present invention, there is provided an on Shift detection platform applying numerical analysis, the platform comprising:
the data uploading device is connected with a server of the duty monitoring party through a wireless network and is used for wirelessly sending the received manned duty grade to the server;
the current detection mechanism is connected with the data uploading equipment and is used for detecting the internal current of the data uploading equipment at each working moment;
the abnormality analysis equipment is connected with the current detection mechanism and used for judging whether the data uploading equipment is excessively supplied with current or not based on the internal current of the data uploading equipment at each working moment;
the signal analysis mechanism is respectively connected with the data uploading equipment and the duration analysis equipment and is used for sending out a corresponding attended grade based on a numerical range that the received first reference data occupies a range between 0 and 1 of the second reference data;
the day and night capturing mechanism is arranged opposite to the duty post and used for performing image data capturing operation on the duty post to obtain a corresponding post captured image;
a timer is arranged in the day and night capturing device and used for triggering the capturing operation of the post captured image at each moment, and the day and night capturing device outputs each post captured image corresponding to each moment;
the band-pass filtering equipment is arranged near the duty post, is connected with the day and night capturing mechanism and is used for executing band-pass filtering processing on each received post captured image so as to obtain a corresponding field filtering image;
the first identification mechanism is connected with the band-pass filtering equipment and used for identifying the human body target in the field filtering image so as to obtain a corresponding human body subimage;
the second identification mechanism is connected with the first identification mechanism and used for analyzing the clothing of the human body subimage so as to determine that the shooting moment of the post capture image corresponding to the human body subimage corresponding to the human body target is the effective watching moment when the human body target corresponding to the human body subimage is judged to wear the duty clothing corresponding to the duty post;
the second identification mechanism is further used for determining that the shooting time of the post capture image corresponding to the human body sub-image corresponding to the human body target is an invalid value when the human body target corresponding to the human body sub-image is judged not to be worn with the duty clothing corresponding to the duty post;
the first identification mechanism is also used for determining that the shooting time of the post capture image corresponding to the field filtering image is invalid value watching time when the human body target is not identified in the field filtering image;
and the time length analysis equipment is respectively connected with the day and night capturing mechanism, the first identification mechanism and the second identification mechanism, and is used for accumulating the number of the shooting moments which are effective watching moments in the shooting moments respectively corresponding to the post capturing images output by the day and night capturing mechanism within the time range from the current moment to the previous preset time length to serve as first reference data, and accumulating the number of the shooting moments which are respectively corresponding to the post capturing images output by the day and night capturing mechanism within the time range from the current moment to the previous preset time length to serve as second reference data.
According to another aspect of the invention, there is also provided an on duty detection method applying numerical analysis, the method comprising using an on duty detection platform applying numerical analysis as described above for determining a valid attendance parameter of a station according to the duration of the presence of a human target wearing duty clothing within a supervised duty station.
The on-duty detection platform applying numerical analysis is simple to operate and convenient to manage. The intelligent field identification can be carried out on the effective on-duty time of the on-duty station so as to judge the proportion of the effective on-duty time occupying the whole time, thereby providing valuable reference data for the management of the on-duty station.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram illustrating a scene of an on duty detection platform applying numerical analysis according to an embodiment of the present invention.
Detailed Description
Embodiments of the on-Shift detection platform using numerical analysis according to the present invention will be described in detail with reference to the accompanying drawings.
In order to solve the problem of image long-distance transmission, a video monitoring system generally adopts a 2M transmission condition, a monitoring manufacturer develops a digital image based on 2M transmission, the coding mode of the digital image is generally based on h.261 or h.263, one path of 2M can only selectively transmit one path of image, and a plurality of 64K time slots in a 2M circuit are occupied. Meanwhile, the moving-loop monitoring data can occupy 1 to 2 time slots, so that the common transmission of the image monitoring data and the moving-loop monitoring data is completed.
However, there are many problems in this monitoring transmission method, such as that multiple images cannot be transmitted simultaneously, if there are multiple cameras at the far end, the monitoring center can only monitor in a round-robin manner, and some alarms must be omitted.
With the continuous development of the TCP/IP network technology, the image transmission based on TCP/IP has been widely used, and in dynamic environment monitoring, the technology is gradually replacing the early analog image monitoring technology and the image monitoring technology based on 2M transmission, the network structure of the image monitoring system based on TCP/IP transmission is generally MPEG4 or h.264.
Currently, a duty station is usually provided at each important place of a company, a unit or a city facility to cope with the intrusion or criminal behavior of a lawbreaker, however, since the duty station is relatively boring, the staff performing the duty is easily subjected to the lacked behavior, and it is not practical to employ a special person to monitor the duty personnel.
In order to overcome the defects, the invention builds an on-duty detection platform applying numerical analysis, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic diagram illustrating a scene of an on duty detection platform applying numerical analysis according to an embodiment of the present invention.
An on Shift detection platform applying numerical analysis according to an embodiment of the present invention is shown comprising:
the data uploading device is connected with a server of the duty monitoring party through a wireless network and is used for wirelessly sending the received manned duty grade to the server;
the current detection mechanism is connected with the data uploading equipment and is used for detecting the internal current of the data uploading equipment at each working moment;
the abnormality analysis equipment is connected with the current detection mechanism and used for judging whether the data uploading equipment is excessively supplied with current or not based on the internal current of the data uploading equipment at each working moment;
the signal analysis mechanism is respectively connected with the data uploading equipment and the duration analysis equipment and is used for sending out a corresponding attended grade based on a numerical range that the received first reference data occupies a range between 0 and 1 of the second reference data;
the day and night capturing mechanism is arranged opposite to the duty post and used for performing image data capturing operation on the duty post to obtain a corresponding post captured image;
a timer is arranged in the day and night capturing device and used for triggering the capturing operation of the post captured image at each moment, and the day and night capturing device outputs each post captured image corresponding to each moment;
the band-pass filtering equipment is arranged near the duty post, is connected with the day and night capturing mechanism and is used for executing band-pass filtering processing on each received post captured image so as to obtain a corresponding field filtering image;
the first identification mechanism is connected with the band-pass filtering equipment and used for identifying the human body target in the field filtering image so as to obtain a corresponding human body subimage;
the second identification mechanism is connected with the first identification mechanism and used for analyzing the clothing of the human body subimage so as to determine that the shooting moment of the post capture image corresponding to the human body subimage corresponding to the human body target is the effective watching moment when the human body target corresponding to the human body subimage is judged to wear the duty clothing corresponding to the duty post;
the second identification mechanism is further used for determining that the shooting time of the post capture image corresponding to the human body sub-image corresponding to the human body target is an invalid value when the human body target corresponding to the human body sub-image is judged not to be worn with the duty clothing corresponding to the duty post;
the first identification mechanism is also used for determining that the shooting time of the post capture image corresponding to the field filtering image is invalid value watching time when the human body target is not identified in the field filtering image;
the time length analysis equipment is respectively connected with the day and night capturing mechanism, the first identification mechanism and the second identification mechanism and is used for accumulating the number of shooting moments which are effective watching moments in all shooting moments respectively corresponding to all post capturing images output by the day and night capturing mechanism within the time range from the current moment to the previous preset time length to serve as first reference data, and accumulating the number of shooting moments respectively corresponding to all post capturing images output by the day and night capturing mechanism within the time range from the current moment to the previous preset time length to serve as second reference data;
wherein issuing a corresponding attended rating based on a numerical range between 0 and 1 in which a proportion of the received first reference data to the second reference data is between comprises: the closer the numerical range between 0 and 1 of the proportion is to 1, the higher the corresponding attended level is;
wherein issuing a corresponding attended rating based on a numerical range between 0 and 1 in which a proportion of the received first reference data to the second reference data is between comprises: the closer the numerical range of the proportion between 0 and 1 is to 0, the lower the corresponding manned grade is;
wherein, identifying the human body target in the field filtering image to obtain the corresponding human body sub-image comprises: and identifying the human body target in the field filtering image based on the human body outline so as to obtain a corresponding human body subimage.
Next, the detailed structure of the on Shift detection platform to which the numerical analysis of the present invention is applied will be further described.
The on-Shift detection platform applying numerical analysis comprises:
performing clothing analysis on the human body subimages to determine that the shooting time of the post capture image corresponding to the human body subimage corresponding to the human body target is the effective watching time when judging that the human body target corresponding to the human body subimage wears the duty clothing corresponding to the duty post, wherein the step of: and judging whether the human body target corresponding to the human body sub-image wears the duty clothing corresponding to the duty station or not based on a preset pattern or a preset color corresponding to the duty clothing corresponding to the duty station.
The on-Shift detection platform applying numerical analysis comprises:
the band-pass filtering device, the first identification mechanism and the second identification mechanism are connected with the same quartz oscillation device and used for acquiring time sequence data provided by the quartz oscillation device.
The on-Shift detection platform applying numerical analysis comprises:
the second identification mechanism is provided with a plurality of heat dissipation holes, and the plurality of heat dissipation holes are uniformly distributed on the shell of the second identification mechanism.
The on-Shift detection platform applying numerical analysis comprises:
the first identification mechanism is implemented by a field programmable logic device that is designed based on the VHDL language.
The on-Shift detection platform applying numerical analysis may further include:
the pressure sensing equipment is arranged inside the band-pass filtering equipment and used for sensing the internal pressure of the band-pass filtering equipment;
and the pressure alarm equipment is connected with the pressure sensing equipment and used for executing corresponding pressure alarm operation when the received internal pressure of the band-pass filtering equipment exceeds the limit.
Meanwhile, in order to overcome the defects, the invention also establishes an on-duty detection method applying numerical analysis, and the method comprises the step of using the on-duty detection platform applying numerical analysis to judge the effective attendance parameters of the post according to the duration of the human body target with the on-duty clothes in the on-duty post under supervision.
In addition, in the on-Shift detection platform applying numerical analysis of the present application, VHDL is mainly used to describe the structure, behavior, function and interface of the digital system. Except for the fact that it contains many statements with hardware features, the linguistic form, description style, and syntax of VHDL are very similar to a general computer high-level language. The structural features of the VHDL program are to divide an engineering design, or design entity (which may be a component, a circuit module or a system) into an external (or visible part, and port) and an internal (or invisible part), which relate to the internal functions and algorithm completion of the entity. After an external interface is defined for a design entity, once its internal development is complete, other designs can invoke the entity directly. This concept of dividing the design entity into inner and outer parts is the fundamental point of VHDL system design. VHDL has powerful language structure, and can describe complex logic control by simple and clear source code. The method has a multi-level design description function, is refined layer by layer, and can directly generate circuit level description. VHDL supports the design of synchronous, asynchronous, and random circuits, which is incomparable with other hardware description languages. VHDL also supports various design methods, both bottom-up and top-down; the method supports both modular design and hierarchical design.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.
Claims (10)
1. An on-Shift testing platform that employs numerical analysis, the platform comprising:
and the data uploading device is connected with the server of the duty monitoring party through a wireless network and is used for wirelessly sending the received manned duty grade to the server.
2. An on Shift detection platform applying numerical analysis according to claim 1, characterized in that said platform further comprises:
and the current detection mechanism is connected with the data uploading equipment and is used for detecting the internal current of the data uploading equipment at each working moment.
3. An on Shift detection platform applying numerical analysis according to claim 2, characterized in that said platform further comprises:
and the abnormality analysis equipment is connected with the current detection mechanism and used for judging whether the data uploading equipment is excessively supplied with current or not based on the internal current of the data uploading equipment at each working moment.
4. An on Shift detection platform applying numerical analysis according to claim 3, characterized in that said platform further comprises:
the signal analysis mechanism is respectively connected with the data uploading equipment and the duration analysis equipment and is used for sending out a corresponding attended grade based on a numerical range that the received first reference data occupies a range between 0 and 1 of the second reference data;
the day and night capturing mechanism is arranged opposite to the duty post and used for performing image data capturing operation on the duty post to obtain a corresponding post captured image;
a timer is arranged in the day and night capturing device and used for triggering the capturing operation of the post captured image at each moment, and the day and night capturing device outputs each post captured image corresponding to each moment;
the band-pass filtering equipment is arranged near the duty post, is connected with the day and night capturing mechanism and is used for executing band-pass filtering processing on each received post captured image so as to obtain a corresponding field filtering image;
the first identification mechanism is connected with the band-pass filtering equipment and used for identifying the human body target in the field filtering image so as to obtain a corresponding human body subimage;
the second identification mechanism is connected with the first identification mechanism and used for analyzing the clothing of the human body subimage so as to determine that the shooting moment of the post capture image corresponding to the human body subimage corresponding to the human body target is the effective watching moment when the human body target corresponding to the human body subimage is judged to wear the duty clothing corresponding to the duty post;
the second identification mechanism is further used for determining that the shooting time of the post capture image corresponding to the human body sub-image corresponding to the human body target is an invalid value when the human body target corresponding to the human body sub-image is judged not to be worn with the duty clothing corresponding to the duty post;
the first identification mechanism is also used for determining that the shooting time of the post capture image corresponding to the field filtering image is invalid value watching time when the human body target is not identified in the field filtering image;
the time length analysis equipment is respectively connected with the day and night capturing mechanism, the first identification mechanism and the second identification mechanism and is used for accumulating the number of shooting moments which are effective watching moments in all shooting moments respectively corresponding to all post capturing images output by the day and night capturing mechanism within the time range from the current moment to the previous preset time length to serve as first reference data, and accumulating the number of shooting moments respectively corresponding to all post capturing images output by the day and night capturing mechanism within the time range from the current moment to the previous preset time length to serve as second reference data;
wherein issuing a corresponding attended rating based on a numerical range between 0 and 1 in which a proportion of the received first reference data to the second reference data is between comprises: the closer the numerical range between 0 and 1 of the proportion is to 1, the higher the corresponding attended level is;
wherein issuing a corresponding attended rating based on a numerical range between 0 and 1 in which a proportion of the received first reference data to the second reference data is between comprises: the closer the numerical range of the proportion between 0 and 1 is to 0, the lower the corresponding manned grade is;
wherein, identifying the human body target in the field filtering image to obtain the corresponding human body sub-image comprises: and identifying the human body target in the field filtering image based on the human body outline so as to obtain a corresponding human body subimage.
5. An on Shift detection platform applying numerical analysis according to claim 4, characterized in that:
performing clothing analysis on the human body subimages to determine that the shooting time of the post capture image corresponding to the human body subimage corresponding to the human body target is the effective watching time when judging that the human body target corresponding to the human body subimage wears the duty clothing corresponding to the duty post, wherein the step of: and judging whether the human body target corresponding to the human body sub-image wears the duty clothing corresponding to the duty station or not based on a preset pattern or a preset color corresponding to the duty clothing corresponding to the duty station.
6. An on Shift detection platform applying numerical analysis according to claim 5, characterized in that:
the band-pass filtering device, the first identification mechanism and the second identification mechanism are connected with the same quartz oscillation device and used for acquiring time sequence data provided by the quartz oscillation device.
7. An on Shift detection platform applying numerical analysis according to claim 6, characterized in that:
the second identification mechanism is provided with a plurality of heat dissipation holes, and the plurality of heat dissipation holes are uniformly distributed on the shell of the second identification mechanism.
8. An on Shift detection platform applying numerical analysis according to claim 7, characterized in that:
the first identification mechanism is implemented by a field programmable logic device that is designed based on the VHDL language.
9. An on Shift detection platform applying numerical analysis according to claim 8, characterized in that said platform further comprises:
the pressure sensing equipment is arranged inside the band-pass filtering equipment and used for sensing the internal pressure of the band-pass filtering equipment;
and the pressure alarm equipment is connected with the pressure sensing equipment and used for executing corresponding pressure alarm operation when the received internal pressure of the band-pass filtering equipment exceeds the limit.
10. An on Shift detection method applying numerical analysis, the method comprising providing an on Shift detection platform applying numerical analysis according to any one of claims 1-9 for determining a valid attendance parameter of a post based on the length of time that a human target wearing duty clothing is present within a supervised post.
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