CN113485277A - Intelligent power plant video identification monitoring management system and method - Google Patents
Intelligent power plant video identification monitoring management system and method Download PDFInfo
- Publication number
- CN113485277A CN113485277A CN202110879480.3A CN202110879480A CN113485277A CN 113485277 A CN113485277 A CN 113485277A CN 202110879480 A CN202110879480 A CN 202110879480A CN 113485277 A CN113485277 A CN 113485277A
- Authority
- CN
- China
- Prior art keywords
- data
- unit
- identification
- module
- power plant
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 38
- 238000000034 method Methods 0.000 title abstract description 23
- 238000004458 analytical method Methods 0.000 claims abstract description 86
- 230000001681 protective effect Effects 0.000 claims abstract description 45
- 238000012545 processing Methods 0.000 claims abstract description 41
- 238000007726 management method Methods 0.000 claims abstract description 20
- 238000010606 normalization Methods 0.000 claims description 6
- 239000000428 dust Substances 0.000 claims description 3
- -1 protective gloves Substances 0.000 claims description 3
- 239000011521 glass Substances 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 10
- 238000005516 engineering process Methods 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 6
- 238000013459 approach Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000005336 safety glass Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31439—Alarms can be warning, alert or fault
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Alarm Systems (AREA)
Abstract
An intelligent power plant video identification monitoring management system and method relate to the technical field of power plant video monitoring and comprise the following steps: collection module, identification module, work order processing module, mark module, analysis module and wireless alarm device, through image recognition technology, carry out the identification mark to the image data who gathers behind the image data of power plant and staff, acquire the working data of staff on the same day from the operating system of power plant, carry out the analysis to above-mentioned data, whether analysis staff's personal protective articles for use more meet the requirements, when not meeting the requirements, send early warning information to wireless alarm device and remind the staff, send prompt message to wireless alarm device when the staff is close to equipment and indicate the staff, the problem of the accident appears easily in the working process that leads to taking place danger and personal protective articles for use dress incomplete result in of having solved the equipment that exists of present power plant near moving.
Description
Technical Field
The invention relates to the technical field of power plant video monitoring, in particular to an intelligent power plant video identification monitoring management system and method.
Background
The equipment of power plant possesses certain danger at the process of operation, is close to the equipment that is moving, when the indecision this equipment possesses danger, it is close to probably to cause the injury to the personnel that are close to with trade, simultaneously, at the in-process of power plant work, need use different personal protective articles for use to different work content and equipment, under the condition of staff's carelessness, go the equipment that corresponds and often appear personal protective articles for use and dress incomplete problem when carrying out the during operation, lead to the incident to appear easily in the working process.
Disclosure of Invention
The embodiment of the invention provides an intelligent power plant video identification monitoring management system and a method, an acquisition module acquires image data of a power plant and workers through an image identification technology, an identification module identifies the acquired image data, a marking module marks the acquired image, a work order processing module acquires the working data of the workers on the same day from a working system of the power plant, the data are input into an analysis module for analysis, the working data of the workers on the same day are analyzed and combined with the identification data obtained by the identification module, whether personal protective articles of the workers meet the requirements or not is analyzed, when the working data do not meet the requirements, early warning information is sent to a wireless alarm device to remind the workers, and meanwhile, when the workers approach equipment, the marking data obtained by the marking module are analyzed, prompt information is sent to the wireless alarm device to prompt the workers, the problem of the equipment that is close to running that exists of present power plant lead to taking place danger and personal protective articles for use dress incomplete and lead to the incident to appear easily in the working process is solved.
The utility model provides a wisdom video identification of power plant monitors management system, includes: the system comprises an acquisition module, an identification module, a work order processing module, a marking module, an analysis module and a wireless alarm device;
the acquisition module is used for acquiring image data of a power plant and workers and sending the acquired image data to the identification module and the marking module;
the identification module is used for identifying the image data acquired by the acquisition module to obtain identification data and sending the obtained identification data to the analysis module;
the work order processing module is used for acquiring a work order in the power plant, identifying the work data of the corresponding staff according to the identification data of the identification module, and sending the obtained work data of the corresponding staff to the analysis module;
the marking module is used for receiving the image data sent by the acquisition module, marking the image data to obtain marked data and sending the marked data to the analysis module;
the analysis module is used for receiving the data sent by the identification module, the work order processing module and the marking module, analyzing the data to obtain an analysis result, and sending an alarm and prompt information to the wireless alarm device according to the analysis result;
and the wireless alarm device is used for receiving the alarm and prompt information sent by the analysis module and reminding the staff through sound.
Furthermore, the acquisition module comprises an image acquisition unit and an image processing unit, wherein the image acquisition unit is used for acquiring image data of a power plant and workers, and the image processing unit is used for dividing the acquired image data into continuous single-frame pictures and carrying out image normalization processing.
Furthermore, the identification module comprises a clothes identification unit, a face identification unit and an equipment identification unit, the clothes identification unit is used for identifying the dressing of the staff according to the image data of the staff sent by the acquisition module and sending the identification result to the analysis module, the analysis module judges whether to send alarm information to the wireless alarm device according to the analysis result, and the face identification unit is used for identifying the face of the staff according to the image data of the staff sent by the acquisition module to obtain the identity information of the staff and sending the obtained identity information to the analysis module.
Furthermore, the work order processing module comprises a work order obtaining unit and a work order identification unit, the work order obtaining unit is used for obtaining the work plan lists of all the employees in the same day from the work system of the power plant, the work order identification unit is used for identifying the work plan lists to obtain the work data of all the employees in the same day, the work data comprise the working equipment arranged according to time points and the corresponding personal protective articles, and the obtained work data are sent to the analysis module.
Further, the marking module comprises a personnel marking unit, a personnel coordinate setting unit, an equipment marking unit and an equipment coordinate setting unit, the personnel marking unit is used for identifying the workers according to the image data of the workers and the image data of the power plant sent by the acquisition module and setting a first rectangular early warning frame around the images of the workers, the personnel coordinate setting unit is used for setting coordinates for each pixel point of the first rectangular early warning frame to obtain marking data of workers, the equipment marking unit is used for identifying equipment according to the image data of the power plant sent by the acquisition module, and a second rectangular early warning frame is arranged around the image of the equipment, the equipment coordinate setting unit is used for setting coordinates for each pixel point of the second rectangular early warning frame to obtain marking data of the equipment, and the obtained marking data of the staff and the marking data of the equipment are sent to the analysis module.
Further, the analysis module comprises a comparison unit, a coordinate monitoring unit and an early warning unit, the comparison unit is used for comparing the clothes identification result of the staff in the identification data sent by the identification module with preset data, and sending early warning information to the early warning unit when the clothes identification result of the staff is not in accordance with the preset data, the early warning unit is used for sending alarm information to the wireless alarm device, the comparison unit is also used for comparing the clothes identification result of the staff at the current time point in the identification data sent by the identification module and the identity information of the staff with the personal protective articles corresponding to the staff in the working data sent by the work order processing module, and sending early warning information to the early warning unit when the clothes identification result of the staff and the identity information of the staff are not in accordance with the personal protective articles at the current time point in the working data, and the early warning unit is used for sending alarm information to the wireless alarm device, the coordinate monitoring unit is used for monitoring the coordinates of the first rectangular early warning frame and the coordinates of the second rectangular early warning frame according to the marking data of the staff and the marking data of the equipment, which are sent by the marking module, sending prompt information to the early warning unit when the coordinates of the first rectangular early warning frame and the coordinates of the second rectangular early warning frame coincide, and sending the prompt information to the wireless alarm device by the early warning unit.
Furthermore, the wireless alarm device is used for receiving the alarm information and the prompt information sent by the analysis module and reminding workers in different types of sounds.
Further, the wireless alarm device is arranged on clothes of workers.
Furthermore, the basic personal protective articles required by the power plant to enter the power plant comprise safety helmets, protective glasses, protective gloves, dust masks and earplugs according to preset data.
In a second aspect, an embodiment of the present invention provides a method for managing video identification and monitoring of an intelligent power plant, including the following steps:
s1, acquiring data, namely acquiring image data of a power plant and workers through an image acquisition unit, dividing the image data into continuous single-frame pictures and simultaneously performing image normalization processing;
s2, identifying dresses of workers by the clothes identification unit according to image data of the workers and sending an identification result to the analysis module, judging whether alarm information is sent to the wireless alarm device or not by the analysis module according to the analysis result, identifying the faces of the workers by the face identification unit according to the image data of the workers sent by the acquisition module to obtain identity information of the workers and sending the obtained identity information to the analysis module;
s3, identifying work order information, acquiring a work order list of all employees in the same day from a work system of the power plant by a work order acquisition unit, identifying the work order list by the work order identification unit to obtain work data of all employees in the same day, wherein the work data comprises working equipment and corresponding personal protective articles which are arranged according to time points, and sending the obtained work data to an analysis module;
s4, marking image data, identifying workers in the image data according to the image data of the workers and the image data of the power plant sent by the acquisition module by a worker marking unit, arranging a first rectangular early warning frame around the image of the workers, setting coordinates for each pixel point of the first rectangular early warning frame by a worker coordinate setting unit to obtain marking data of the workers, identifying equipment according to the image data of the power plant sent by the acquisition module by an equipment marking unit, arranging a second rectangular early warning frame around the image of the equipment, setting coordinates for each pixel point of the second rectangular early warning frame by an equipment coordinate setting unit to obtain marking data of the equipment, and sending the obtained marking data of the workers and the obtained marking data of the equipment to an analysis module;
s5, a comparison unit arranged in the analysis module compares the clothes identification result of the staff in the identification data sent by the identification module with the preset data, sends early warning information to an early warning unit when the clothes identification result of the staff in the identification data does not accord with the preset data, the early warning unit sends warning information to a wireless warning device, the comparison unit also compares the clothes identification result of the staff at the current time point in the identification data sent by the identification module and the identity information of the staff with the personal protective articles corresponding to the staff in the working data sent by the work order processing module, and sends the early warning information to the early warning unit when the clothes identification result of the staff and the identity information of the staff in the working data do not accord with the personal protective articles at the current time point in the working data, the early warning unit sends the warning information to the wireless warning device, a coordinate monitoring unit monitors the coordinate of a first rectangular early warning frame and the coordinate of a second rectangular early warning frame according to the marking data of the staff and the marking data of the equipment sent by the marking module, when the coordinates of the first rectangular early warning frame and the coordinates of the second rectangular early warning frame coincide, sending prompt information to an early warning unit, and sending the prompt information to a wireless warning device by the early warning unit;
and S6, early warning, wherein the wireless alarm device receives the alarm information and the prompt information sent by the analysis module and reminds the staff in different types of sounds.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
1. according to the invention, through an image identification technology, an acquisition module acquires image data of a power plant and workers, an identification module identifies the acquired image data, a marking module marks the acquired image, a work order processing module acquires the current working data of the workers from a working system of the power plant, the data is input into an analysis module for analysis, whether personal protective articles of the workers meet requirements or not is analyzed by analyzing the current working data of the workers and combining the identification data acquired by the identification module, and when the personal protective articles do not meet the requirements, early warning information is sent to a wireless alarm device to remind the workers, so that the problem that the current power plant is dangerous due to the fact that the workers are close to running equipment is solved.
2. Carry out the analysis through the mark data that obtains the mark module and send prompt message to wireless alarm device when the staff is close to equipment and indicate the staff, solved the personal protective articles for use that present power plant exists and dressed the problem that the accident appears easily in the course of the work that leads to the fact completely.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram of a video identification monitoring management system of an intelligent power plant according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an acquisition module disclosed in an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an identification module according to an embodiment of the present disclosure;
FIG. 4 is a schematic structural diagram of a work order processing module according to an embodiment of the present disclosure;
FIG. 5 is a schematic structural diagram of a marking module according to an embodiment of the present disclosure;
FIG. 6 is a schematic structural diagram of an analysis module according to an embodiment of the present invention;
fig. 7 is a schematic flow chart of a video identification monitoring management method for an intelligent power plant according to an embodiment of the present invention.
Reference numerals:
100. an acquisition module; 101. an image acquisition unit; 102. an image processing unit; 200. an identification module; 201. a laundry identification unit; 202. a face recognition unit; 300. a work order processing module; 301. a work order acquisition unit; 302. a work order identification unit; 400. a marking module; 401. a person marking unit; 402. a person coordinate setting unit; 403. a device marking unit; 404. an apparatus coordinate setting unit; 500. an analysis module; 501. a comparison unit; 502. a coordinate monitoring unit; 503. an early warning unit; 600. provided is a wireless alarm device.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Example one
As shown in fig. 1 to 6, an embodiment of the present invention provides an intelligent power plant video identification monitoring management system, including: the system comprises an acquisition module 100, an identification module 200, a work order processing module 300, a marking module 400, an analysis module 500 and a wireless alarm device 600;
the system comprises an acquisition module 100, a recognition module 200 and a marking module 400, wherein the acquisition module is used for acquiring image data of a power plant and workers and sending the acquired image data to the recognition module 200 and the marking module 400;
specifically, the acquisition module 100 includes an image acquisition unit 101 and an image processing unit 102, the image acquisition unit 101 is a camera, the image acquisition unit 101 acquires image data of a power plant and workers, and the image processing unit 102 divides the acquired image data into continuous single-frame pictures and performs image normalization processing, so that the specifications of the processed single-frame pictures are kept consistent, and subsequent processing is facilitated.
The identification module 200 is configured to identify the image data acquired by the acquisition module 100 to obtain identification data, and send the obtained identification data to the analysis module 500;
specifically, the identification module 200 includes a clothing identification unit 201, a face identification unit 202 and an equipment identification unit, the clothing identification unit 201 is configured to identify clothing of a worker according to image data of the worker sent by the acquisition module 100, and send an identification result to the analysis module 500, the clothing identification result includes a wearing identification result of personal protective articles of the head, the trunk and the four limbs of the worker, the analysis module 500 determines whether to send alarm information to the wireless alarm device 600 according to the analysis result, the face identification unit 202 is configured to identify the face of the worker according to the image data of the worker sent by the acquisition module 100 to obtain identity information of the worker, the identity information of the worker includes the name and id of the worker, and send the obtained identity information to the analysis module 500.
The work order processing module 300 is configured to obtain a work order in the power plant, identify work data of corresponding workers according to the identification data of the identification module 200, and send the obtained work data of the corresponding workers to the analysis module 500;
specifically, the work order processing module 300 includes a work order obtaining unit 301 and a work order identification unit 302, the work order obtaining unit 301 is configured to obtain a work plan list of all employees in the same day from a work system of the power plant, the work order identification unit 302 is configured to identify the work plan list to obtain work data of all employees in the same day, the work data includes devices which are arranged according to time points and work correspondingly and personal protective articles which need to be worn correspondingly, and the obtained work data is sent to the analysis module 500;
for example, the work plan lists of all the workers in the work system of the power plant include a worker a, the worker a performs work on the equipment 1 in the work list of 1, 09:00-12:00 on the same day, and performs work on the equipment 2 in the work list of 14:00-18:00 on the same day, wherein the work list further includes personal protective articles to be worn by the equipment 1 and the equipment 2, the work order obtaining unit 301 collects the work plan list of the worker in the work system of the power plant in the work list of the same day, the work order identifying unit 302 identifies and extracts the content of the work order, taking the worker a as an example, the identified and extracted content is 09:00-12:00, and the worker a is a personal protective article type list corresponding to the equipment 1; 14:00-18:00, staff a, list of personal protective product categories for the device 1.
The marking module 400 is configured to receive the image data sent by the acquisition module 100, mark the image data to obtain marked data, and send the marked data to the analysis module 500;
specifically, the marking module 400 includes a staff marking unit 401, a staff coordinate setting unit 402, an equipment marking unit 403, and an equipment coordinate setting unit 404, where the staff marking unit 401 is configured to identify staff therein according to the image data of the staff and the image data of the power plant sent by the acquisition module 100, and set a first rectangular early warning frame around the image of the staff, the staff coordinate setting unit 402 is configured to set coordinates for each pixel point of the first rectangular early warning frame, and the manner of setting coordinates for each pixel point of the first rectangular early warning frame is that a coordinate system is established with a first pixel point below the leftmost side of the image as an origin, so as to obtain coordinates of all pixel points of the first rectangular early warning frame in the image, obtain marking data of the staff, the equipment marking unit 403 is configured to identify equipment according to the image data of the power plant sent by the acquisition module 100, a second rectangular early warning frame is arranged around the image of the equipment, a coordinate system is established by taking a first pixel point below the leftmost side of the image as an original point to obtain coordinates of all pixel points of the second rectangular early warning frame in the image, an equipment coordinate setting unit 404 is used for setting coordinates of each pixel point of the second rectangular early warning frame to obtain marking data of the equipment, and the obtained marking data of the staff and the marking data of the equipment are sent to an analysis module 500;
the analysis module 500 is configured to receive data sent by the identification module 200, the work order processing module 300, and the marking module 400, analyze the data to obtain an analysis result, and send an alarm and prompt information to the wireless alarm device 600 according to the analysis result;
specifically, the analysis module 500 includes a comparison unit 501, a coordinate monitoring unit 502, and an early warning unit 503, where the comparison unit 501 is configured to compare a clothes identification result of a worker in the identification data sent by the identification module 200 with preset data, and send early warning information to the early warning unit 503 when the clothes identification result does not match the preset data, where the preset data is basic personal protective articles required by the power plant to enter the power plant, and includes safety helmets, safety glasses, protective gloves, dust masks, and earplugs, the early warning unit 503 sends warning information to a wireless warning device, the comparison unit 501 is further configured to compare the clothes identification result of the worker at the current time point in the identification data sent by the identification module 200 and the identity information of the worker with personal protective articles corresponding to the worker in the work data sent by the work order processing module 300, and when the clothes identification result does not match the personal protective articles at the current time point in the work data, the coordinate monitoring unit 502 is used for monitoring the coordinates of a first rectangular early warning frame and the coordinates of a second rectangular early warning frame according to the marking data of the staff and the marking data of the equipment, which are sent by the marking module 400, sending prompt information to the early warning unit 503 when the coordinates of the first rectangular early warning frame and the coordinates of the second rectangular early warning frame coincide, and the early warning unit 503 sending the prompt information to the wireless alarm device;
for example, after the worker a enters the power plant, the comparison unit 501 identifies the clothes of the worker a according to the clothes identification unit 201, and compares the clothes with preset data, and when the clothes of the worker a are consistent with the preset data, the comparison unit determines that the clothes of the worker a meet the requirements. The early warning information is not sent to the early warning unit 503, meanwhile, according to the working data of the day, in the working time, for example, when the working time is 09:00-12:00, the worker A does not wear the personal protective articles conforming to the equipment 1, the comparison unit 501 sends the early warning information to the early warning unit 503, the early warning unit 503 sends the warning information to the wireless warning device to remind the worker A, meanwhile, in the process that the worker A moves in the power plant, when any coordinate point of a first rectangular early warning frame of the worker A is coincident with any coordinate point of a second rectangular early warning frame of the equipment, the coordinate monitoring unit 502 sends the early warning information to the early warning unit 503, and the early warning unit 503 sends the warning information to the wireless warning device to remind the worker A, so that the worker A is prevented from further approaching the equipment.
The wireless alarm device 600 is used for receiving the alarm and the prompt information sent by the analysis module 500 and reminding the staff through sound, the wireless alarm device 600 is arranged on the clothes of the staff, and the wireless alarm device 600 is used for receiving the alarm information and the prompt information sent by the analysis module 500 and reminding the staff through different types of sound.
According to the invention, through an image identification technology, the acquisition module 100 acquires image data of a power plant and workers, the identification module 200 identifies the acquired image data, the marking module 400 marks the acquired image, the work order processing module 300 acquires the current-day work data of the workers from a work system of the power plant, the data is input into the analysis module 500 for analysis, the current-day work data of the workers is analyzed and combined with the identification data obtained by the identification module 200, whether personal protective articles of the workers meet requirements or not is analyzed, when the current-day work data of the workers do not meet the requirements, the early warning information is sent to the wireless alarm device 600 to remind the workers, and meanwhile, the marking data obtained by the marking module 400 is analyzed, when the workers approach equipment, the prompt information is sent to the wireless alarm device 600 to prompt the workers, so that dangers caused by the fact that the current power plant approaches the running equipment and the personal protective articles are worn to solve the problems that the existing power plant causes dangers and the personnel to wear the equipment The incomplete operation leads to the problem of easy occurrence of safety accidents in the working process.
Example two
The embodiment of the invention also discloses a video identification monitoring management method for the intelligent power plant, which comprises the following steps as shown in figures 2-7:
s1, acquiring data, namely acquiring image data of a power plant and workers through the image acquisition unit 101, dividing the image data into continuous single-frame pictures and simultaneously performing image normalization processing;
specifically, the image acquisition unit 101 acquires image data of a power plant and image data of workers in the power plant, and processes the image data after acquiring the image data, so that specifications of single-frame pictures obtained by processing are kept consistent, and subsequent processing is facilitated.
S2, image recognition, the clothing recognition unit 201 recognizes the clothing of the worker according to the image data of the worker, and sends the recognition result to the analysis module 500, the analysis module 500 judges whether to send alarm information to the wireless alarm device 600 according to the analysis result, the face recognition unit 202 recognizes the face of the worker according to the image data of the worker sent by the acquisition module 100 to obtain the identity information of the worker, and sends the obtained identity information to the analysis module 500;
specifically, the clothing recognition unit 201 recognizes clothing of the worker according to image data of the worker, the comparison unit 501 is used for comparing the recognition result with preset data, and when the recognition result is not consistent with the preset data, sends early warning information to the early warning unit 503, and the face recognition unit 202 recognizes the face of the worker according to the image data of the worker to obtain identity information of the worker, and sends the obtained identity information to the comparison unit 501 for comparison.
S3, identifying work order information, acquiring a work order list of all employees in the same day from a work system of the power plant by the work order acquisition unit 301, identifying the work order list by the work order identification unit 302 to obtain work data of all employees in the same day, wherein the work data comprises working equipment and corresponding personal protective articles which are arranged according to time points, and sending the obtained work data to the analysis module 500;
s4, marking image data, identifying workers in the image data according to the image data of the workers and the image data of the power plant sent by the acquisition module 100 by the personnel marking unit 401, setting a first rectangular early warning frame around the image of the workers, setting coordinates for each pixel point of the first rectangular early warning frame by the personnel coordinate setting unit 402 to obtain marking data of the workers, identifying equipment according to the image data of the power plant sent by the acquisition module 100 by the equipment marking unit 403, setting a second rectangular early warning frame around the image of the equipment, setting coordinates for each pixel point of the second rectangular early warning frame by the equipment coordinate setting unit 404 to obtain marking data of the equipment, and sending the obtained marking data of the workers and the obtained marking data of the equipment to the analysis module 500;
s5, analyzing the data, the comparing unit 501 in the analyzing module 500 compares the clothing identification result of the staff in the identification data sent by the identifying module 200 with the preset data, if the clothing identification result does not match the preset data, the early warning unit 503 sends the early warning information to the early warning unit 503, the early warning unit 503 sends the warning information to the wireless alarm device, the comparing unit 501 further compares the clothing identification result of the staff at the current time point in the identification data sent by the identifying module 200 and the identity information of the staff with the personal protective articles corresponding to the staff in the work data sent by the work order processing module 300, if the clothing identification result and the identity information of the staff do not match the personal protective articles at the current time point in the work data, the early warning unit 501 sends the early warning information to the early warning unit 503, the early warning unit 503 sends the warning information to the wireless alarm device, the coordinate monitoring unit 502 compares the coordinates of the first rectangular early warning frame and the coordinates of the second rectangular early warning frame with the marking data of the equipment sent by the marking module 400 and the marking data of the staff Monitoring the coordinates of the early warning frames, and when the coordinates of the first rectangular early warning frame and the coordinates of the second rectangular early warning frame coincide, sending prompt information to the early warning unit 503, wherein the early warning unit 503 sends the prompt information to the wireless warning device;
s6, early warning, the wireless alarm device 600 receives the alarm information and the prompt information sent by the analysis module 500, and reminds the staff in different types of sound modes.
According to the image recognition technology disclosed in this embodiment, the image acquisition unit 101 acquires image data of a power plant and workers, the clothing recognition unit 201 and the face recognition unit 202 respectively recognize the acquired image data to obtain identity information of workers and wearing conditions of clothing and personal protective equipment worn by the workers, the personnel marking unit 401 and the equipment marking unit 403 mark the acquired image, add a rectangular early warning frame, meanwhile, the personnel coordinate setting unit 402 and the equipment coordinate setting unit 404 respectively add coordinates to the rectangular early warning frame, the work order processing module 300 acquires work data of the workers in the same day from a work system of the power plant, inputs the data into the analysis module 500 for analysis, analyzes the work data of the workers in the same day by analyzing the work data of the workers in combination with the identification data obtained by the identification module 200 to analyze whether personal protective equipment of the workers meets requirements better, when not conform to the requirement, send early warning information to wireless alarm device 600 and remind the staff, carry out the analysis through the mark data who obtains marking module 400 simultaneously and send prompt message to wireless alarm device 600 and remind the staff when the staff is close to equipment, solved present power plant exist near equipment that is running and lead to taking place danger and personal protective articles dresses incomplete problem that leads to the incident to appear easily in the working process.
It should be understood that the specific order or hierarchy of steps in the processes disclosed is an example of exemplary approaches. Based upon design preferences, it is understood that the specific order or hierarchy of steps in the processes may be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in a sample order, and are not intended to be limited to the specific order or hierarchy presented.
In the foregoing detailed description, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the subject matter require more features than are expressly recited in each claim. Rather, as the following claims reflect, invention lies in less than all features of a single disclosed embodiment. Thus, the following claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. Of course, the processor and the storage medium may reside as discrete components in a user terminal.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in memory units and executed by processors. The memory unit may be implemented within the processor or external to the processor, in which case it can be communicatively coupled to the processor via various means as is known in the art.
What has been described above includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent that the term "includes" is used in either the detailed description or the claims, such term is intended to be inclusive in a manner similar to the term "comprising" as "comprising" is interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or".
Claims (10)
1. The utility model provides a wisdom video identification of power plant control management system which characterized in that includes: the system comprises an acquisition module, an identification module, a work order processing module, a marking module, an analysis module and a wireless alarm device;
the acquisition module is used for acquiring image data of a power plant and workers and sending the acquired image data to the identification module and the marking module;
the identification module is used for identifying the image data acquired by the acquisition module to obtain identification data and sending the obtained identification data to the analysis module;
the work order processing module is used for acquiring a work order in the power plant, identifying the work data of the corresponding staff according to the identification data of the identification module, and sending the obtained work data of the corresponding staff to the analysis module;
the marking module is used for receiving the image data sent by the acquisition module, marking the image data to obtain marked data and sending the marked data to the analysis module;
the analysis module is used for receiving the data sent by the identification module, the work order processing module and the marking module, analyzing the data to obtain an analysis result, and sending an alarm and prompt information to the wireless alarm device according to the analysis result;
and the wireless alarm device is used for receiving the alarm and prompt information sent by the analysis module and reminding the staff through sound.
2. The intelligent power plant video identification monitoring management system according to claim 1, wherein the acquisition module comprises an image acquisition unit and an image processing unit, the image acquisition unit is used for acquiring image data of a power plant and workers, and the image processing unit is used for dividing the acquired image data into continuous single-frame pictures and performing image normalization processing.
3. The intelligent power plant video identification monitoring management system according to claim 2, wherein the identification module comprises a clothing identification unit, a face identification unit and an equipment identification unit, the clothing identification unit is used for identifying the dressing of the staff according to the image data of the staff sent by the acquisition module and sending the identification result to the analysis module, the analysis module is used for judging whether to send alarm information to the wireless alarm device according to the analysis result, and the face identification unit is used for identifying the face of the staff according to the image data of the staff sent by the acquisition module to obtain the identity information of the staff and sending the obtained identity information to the analysis module.
4. The intelligent power plant video identification monitoring management system according to claim 3, wherein the work order processing module comprises a work order obtaining unit and a work order identification unit, the work order obtaining unit is configured to obtain the work plan lists of all the employees in the same day from the work system of the power plant, the work order identification unit is configured to identify the work plan lists to obtain the work data of all the employees in the same day, the work data comprises the devices of the work and the corresponding personal protective articles arranged according to the time point, and the obtained work data is sent to the analysis module.
5. The intelligent power plant video identification monitoring management system according to claim 4, wherein the marking module comprises a personnel marking unit, a personnel coordinate setting unit, an equipment marking unit and an equipment coordinate setting unit, the personnel marking unit is used for identifying the personnel therein according to the image data of the personnel and the image data of the power plant sent by the acquisition module and setting a first rectangular early warning frame around the image of the personnel, the personnel coordinate setting unit is used for setting coordinates for each pixel point of the first rectangular early warning frame to obtain the marking data of the personnel, the equipment marking unit is used for identifying the equipment according to the image data of the power plant sent by the acquisition module and setting a second rectangular early warning frame around the image of the equipment, the equipment coordinate setting unit is used for setting coordinates for each pixel point of the second rectangular early warning frame, and obtaining the marking data of the equipment, and sending the obtained marking data of the staff and the obtained marking data of the equipment to the analysis module.
6. The intelligent power plant video identification monitoring management system according to claim 5, wherein the analysis module comprises a comparison unit, a coordinate monitoring unit and an early warning unit, the comparison unit is configured to compare the clothing identification result of the worker with the preset data in the identification data sent by the identification module, send early warning information to the early warning unit when the clothing identification result does not match the preset data, the early warning unit sends warning information to the wireless warning device, the comparison unit is further configured to compare the clothing identification result of the worker at the current time point and the identity information of the worker with the personal protective product corresponding to the worker in the working data sent by the work order processing module according to the clothing identification result of the worker at the current time point in the identification data sent by the identification module and the identity information of the worker, and when the clothing identification result does not match the personal protective product at the current time point in the working data, the wireless warning device comprises a coordinate monitoring unit, a warning unit, a wireless warning device and a marking module, wherein the coordinate monitoring unit is used for monitoring the coordinate of a first rectangular warning frame and the coordinate of a second rectangular warning frame according to marking data of staff and marking data of equipment, the marking data are sent by the marking module, when the coordinate of the first rectangular warning frame and the coordinate of the second rectangular warning frame coincide, prompt information is sent to the warning unit, and the warning unit sends the prompt information to the wireless warning device.
7. The intelligent power plant video identification monitoring management system of claim 6, wherein the wireless alarm device is configured to receive the alarm information and the prompt information sent by the analysis module, and remind workers in different types of sounds.
8. The intelligent power plant video identification monitoring and management system of claim 6, wherein the wireless alarm device is disposed on the clothing of the staff.
9. The intelligent power plant video identification monitoring and management system of claim 7, wherein the predetermined data is the basic personal protective equipment required by the power plant to enter the power plant, including safety helmets, protective glasses, protective gloves, dust masks and earplugs.
10. An intelligent power plant video identification monitoring management method applied to the intelligent power plant video identification monitoring management system according to claims 1-9, characterized by comprising the following steps:
s1, acquiring data, namely acquiring image data of a power plant and workers through an image acquisition unit, dividing the image data into continuous single-frame pictures and simultaneously performing image normalization processing;
s2, identifying dresses of workers by the clothes identification unit according to image data of the workers and sending an identification result to the analysis module, judging whether alarm information is sent to the wireless alarm device or not by the analysis module according to the analysis result, identifying the faces of the workers by the face identification unit according to the image data of the workers sent by the acquisition module to obtain identity information of the workers and sending the obtained identity information to the analysis module;
s3, identifying work order information, acquiring a work order list of all employees in the same day from a work system of the power plant by a work order acquisition unit, identifying the work order list by the work order identification unit to obtain work data of all employees in the same day, wherein the work data comprises working equipment and corresponding personal protective articles which are arranged according to time points, and sending the obtained work data to an analysis module;
s4, marking image data, identifying workers in the image data according to the image data of the workers and the image data of the power plant sent by the acquisition module by a worker marking unit, arranging a first rectangular early warning frame around the image of the workers, setting coordinates for each pixel point of the first rectangular early warning frame by a worker coordinate setting unit to obtain marking data of the workers, identifying equipment according to the image data of the power plant sent by the acquisition module by an equipment marking unit, arranging a second rectangular early warning frame around the image of the equipment, setting coordinates for each pixel point of the second rectangular early warning frame by an equipment coordinate setting unit to obtain marking data of the equipment, and sending the obtained marking data of the workers and the obtained marking data of the equipment to an analysis module;
s5, a comparison unit arranged in the analysis module compares the clothes identification result of the staff in the identification data sent by the identification module with the preset data, sends early warning information to an early warning unit when the clothes identification result of the staff in the identification data does not accord with the preset data, the early warning unit sends warning information to a wireless warning device, the comparison unit also compares the clothes identification result of the staff at the current time point in the identification data sent by the identification module and the identity information of the staff with the personal protective articles corresponding to the staff in the working data sent by the work order processing module, and sends the early warning information to the early warning unit when the clothes identification result of the staff and the identity information of the staff in the working data do not accord with the personal protective articles at the current time point in the working data, the early warning unit sends the warning information to the wireless warning device, a coordinate monitoring unit monitors the coordinate of a first rectangular early warning frame and the coordinate of a second rectangular early warning frame according to the marking data of the staff and the marking data of the equipment sent by the marking module, when the coordinates of the first rectangular early warning frame and the coordinates of the second rectangular early warning frame coincide, sending prompt information to an early warning unit, and sending the prompt information to a wireless warning device by the early warning unit;
and S6, early warning, wherein the wireless alarm device receives the alarm information and the prompt information sent by the analysis module and reminds the staff in different types of sounds.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110879480.3A CN113485277B (en) | 2021-08-03 | 2021-08-03 | Intelligent power plant video identification monitoring management system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110879480.3A CN113485277B (en) | 2021-08-03 | 2021-08-03 | Intelligent power plant video identification monitoring management system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113485277A true CN113485277A (en) | 2021-10-08 |
| CN113485277B CN113485277B (en) | 2023-02-24 |
Family
ID=77945052
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110879480.3A Active CN113485277B (en) | 2021-08-03 | 2021-08-03 | Intelligent power plant video identification monitoring management system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113485277B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114038171A (en) * | 2021-11-17 | 2022-02-11 | 山东日照发电有限公司 | Real-time early warning system and method based on primary electric system of power plant |
| CN114202901A (en) * | 2021-12-16 | 2022-03-18 | 中建八局发展建设有限公司 | AI-based building engineering safety management error rate identification and alarm system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310589A (en) * | 2013-07-05 | 2013-09-18 | 国家电网公司 | Alarm information generating method and device |
| CN110222672A (en) * | 2019-06-19 | 2019-09-10 | 广东工业大学 | The safety cap of construction site wears detection method, device, equipment and storage medium |
| CN111062150A (en) * | 2019-12-25 | 2020-04-24 | 北京达美盛软件股份有限公司 | Three-dimensional visual factory management system |
| CN111210148A (en) * | 2020-01-06 | 2020-05-29 | 岭东核电有限公司 | Nuclear power station work order work hour management system and method |
| CN111596618A (en) * | 2019-02-21 | 2020-08-28 | 山东创德软件技术有限公司 | Safety early warning mechanism operation system and method for coal conveying and unloading process of power plant |
| CN112541439A (en) * | 2020-12-16 | 2021-03-23 | 深圳英飞拓科技股份有限公司 | Intelligent video monitoring method and system for power plant |
| CN112613361A (en) * | 2020-12-09 | 2021-04-06 | 安徽中电光达通信技术有限公司 | Intelligent behavior analysis system for security monitoring |
| CN112804494A (en) * | 2021-01-13 | 2021-05-14 | 广州穗能通能源科技有限责任公司 | Power construction site monitoring method and system and storage medium |
| CN112926951A (en) * | 2021-03-26 | 2021-06-08 | 广东电网有限责任公司佛山供电局 | Equipment transaction identification method and device |
| CN113128393A (en) * | 2021-04-15 | 2021-07-16 | 国网安徽省电力有限公司黄山供电公司 | Method and system for detecting whether person is under large-scale mechanical boom |
-
2021
- 2021-08-03 CN CN202110879480.3A patent/CN113485277B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310589A (en) * | 2013-07-05 | 2013-09-18 | 国家电网公司 | Alarm information generating method and device |
| CN111596618A (en) * | 2019-02-21 | 2020-08-28 | 山东创德软件技术有限公司 | Safety early warning mechanism operation system and method for coal conveying and unloading process of power plant |
| CN110222672A (en) * | 2019-06-19 | 2019-09-10 | 广东工业大学 | The safety cap of construction site wears detection method, device, equipment and storage medium |
| CN111062150A (en) * | 2019-12-25 | 2020-04-24 | 北京达美盛软件股份有限公司 | Three-dimensional visual factory management system |
| CN111210148A (en) * | 2020-01-06 | 2020-05-29 | 岭东核电有限公司 | Nuclear power station work order work hour management system and method |
| CN112613361A (en) * | 2020-12-09 | 2021-04-06 | 安徽中电光达通信技术有限公司 | Intelligent behavior analysis system for security monitoring |
| CN112541439A (en) * | 2020-12-16 | 2021-03-23 | 深圳英飞拓科技股份有限公司 | Intelligent video monitoring method and system for power plant |
| CN112804494A (en) * | 2021-01-13 | 2021-05-14 | 广州穗能通能源科技有限责任公司 | Power construction site monitoring method and system and storage medium |
| CN112926951A (en) * | 2021-03-26 | 2021-06-08 | 广东电网有限责任公司佛山供电局 | Equipment transaction identification method and device |
| CN113128393A (en) * | 2021-04-15 | 2021-07-16 | 国网安徽省电力有限公司黄山供电公司 | Method and system for detecting whether person is under large-scale mechanical boom |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114038171A (en) * | 2021-11-17 | 2022-02-11 | 山东日照发电有限公司 | Real-time early warning system and method based on primary electric system of power plant |
| CN114202901A (en) * | 2021-12-16 | 2022-03-18 | 中建八局发展建设有限公司 | AI-based building engineering safety management error rate identification and alarm system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113485277B (en) | 2023-02-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110795989A (en) | Intelligent safety monitoring system for electric power operation and monitoring method thereof | |
| CN113485277B (en) | Intelligent power plant video identification monitoring management system and method | |
| KR101215948B1 (en) | Image information masking method of monitoring system based on face recognition and body information | |
| CN112396658B (en) | Indoor personnel positioning method and system based on video | |
| CN107808502B (en) | A kind of image detection alarm method and device | |
| CN103942850A (en) | Medical staff on-duty monitoring method based on video analysis and RFID (radio frequency identification) technology | |
| CN112766050A (en) | Dressing and work inspection method, computer device, and storage medium | |
| CN111191581A (en) | Safety helmet detection method and device based on electric power construction and computer equipment | |
| CN112364722A (en) | Nuclear power operator monitoring processing method and device and computer equipment | |
| CN114078224A (en) | Infrastructure field monitoring system and method based on 5G network architecture | |
| CN111062303A (en) | Image processing method, system and computer storage medium | |
| CN111652185A (en) | Safety construction method, system, device and storage medium based on violation behavior recognition | |
| CN112489280A (en) | Transformer substation personal safety monitoring method, system, terminal and storage medium | |
| CN113505770B (en) | Method and system for detecting clothes and hair ornament abnormity in express industry and electronic equipment | |
| CN113807240A (en) | Intelligent transformer substation personnel dressing monitoring method based on uncooperative face recognition | |
| CN112329560A (en) | Illegal behavior recognition method and device for nuclear power operating personnel and computer equipment | |
| CN110262436A (en) | Safety production monitoring method and monitoring system | |
| CN115880722A (en) | Intelligent identification method, system and medium worn by power distribution operating personnel | |
| CN114092875A (en) | Operation site safety supervision method and device based on machine learning | |
| CN110751125A (en) | Wearing detection method and device | |
| CN110705505A (en) | Intelligent identification device, method and system for service specification of electric power business hall | |
| CN211154002U (en) | Safety helmet and safety system | |
| CN214896722U (en) | Millimeter wave radar fuses transformer substation's operation orbit management and control device of video analysis | |
| CN112418140A (en) | Electric shock prevention alarm method and system for power distribution construction site | |
| CN113923403A (en) | Method for detecting people who are on duty |
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 |