CN112651642A - Hydraulic engineering field personnel safety management system based on multi-device perception - Google Patents
Hydraulic engineering field personnel safety management system based on multi-device perception Download PDFInfo
- Publication number
- CN112651642A CN112651642A CN202011604957.9A CN202011604957A CN112651642A CN 112651642 A CN112651642 A CN 112651642A CN 202011604957 A CN202011604957 A CN 202011604957A CN 112651642 A CN112651642 A CN 112651642A
- Authority
- CN
- China
- Prior art keywords
- module
- information
- server
- worker
- dangerous
- 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.)
- Pending
Links
- 230000008447 perception Effects 0.000 title claims abstract description 16
- 230000006399 behavior Effects 0.000 claims description 66
- 238000007726 management method Methods 0.000 claims description 34
- 230000009471 action Effects 0.000 claims description 20
- 230000000875 corresponding effect Effects 0.000 claims description 19
- 238000013500 data storage Methods 0.000 claims description 16
- 238000012549 training Methods 0.000 claims description 15
- 238000012360 testing method Methods 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 claims description 3
- 238000011478 gradient descent method Methods 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 abstract description 14
- 238000000034 method Methods 0.000 abstract description 6
- 230000007547 defect Effects 0.000 abstract description 4
- 238000013459 approach Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000009430 construction management Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004141 dimensional analysis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/1091—Recording time for administrative or management purposes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Data Mining & Analysis (AREA)
- Multimedia (AREA)
- Human Computer Interaction (AREA)
- Educational Administration (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Bioinformatics & Computational Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Primary Health Care (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Emergency Alarm Devices (AREA)
- Alarm Systems (AREA)
Abstract
The invention relates to engineering field safety management, in particular to a hydraulic engineering field personnel safety management system based on multi-device perception, which comprises a server and an information acquisition unit connected with the server, wherein the information acquisition unit comprises an intelligent bracelet used for positioning workers, attendance equipment used for checking attendance on the workers, fixed-point image acquisition equipment used for acquiring fixed-point images, dynamic image acquisition equipment used for acquiring dynamic images, and an information acquisition module which is arranged on an electronic fence and used for acquiring positioning information and storage information of the intelligent bracelet; the technical scheme provided by the invention can overcome the defect that the prior art cannot carry out whole-process and multi-aspect supervision on the personnel on the construction site.
Description
Technical Field
The invention relates to engineering field safety management, in particular to a hydraulic engineering field personnel safety management system based on multi-device perception.
Background
In the field of construction, accidents always occur to be a difficult problem to be solved urgently. Due to the fact that the construction site is complex in condition and numerous in hazard source, most constructors do not have systematic safety education, safety accidents occur frequently, and serious loss and a series of chain reactions are brought when the accidents occur. As a capital construction country, China pays more attention to the safety management of construction sites, and the country also successively puts forward laws, regulations and systems about the safety management of the construction sites so as to regulate relevant behaviors in the construction process.
However, due to the complexity of construction management, many systems are not effectively executed, and the behavior management of a construction site still needs to be strengthened by means of scientific and technological means. The safety management of construction is based on the management of personnel, the existing personnel management methods either add positioning equipment or add field monitoring, but the methods still have the defects that only one aspect of information of the personnel safety management can be supervised, the personnel cannot be supervised in the whole process and in various aspects, and the personnel can be easily avoided.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides a hydraulic engineering field personnel safety management system based on multi-equipment perception, which can effectively overcome the defect that the prior art cannot carry out overall process and multi-aspect supervision on construction field personnel.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
a hydraulic engineering field personnel safety management system based on multi-device perception comprises a server and an information acquisition unit connected with the server, wherein the information acquisition unit comprises an intelligent bracelet used for positioning workers, an attendance device used for checking the attendance of the workers, a fixed point image acquisition device used for acquiring fixed point images, a dynamic image acquisition device used for acquiring dynamic images, and an information acquisition module which is arranged on an electronic fence and used for acquiring the positioning information and the storage information of the intelligent bracelet, the server is connected with an account management module, the server is connected with an entrance time setting module used for setting different entrance times for the workers, and the server is connected with an electronic fence setting module used for setting corresponding activity areas of the workers;
the server is connected with a dangerous behavior recognition module used for recognizing dangerous behaviors from the fixed point images and the dynamic images, the server is connected with a human body recognition module used for recognizing each worker in the fixed point images and the dynamic images, the server is connected with a track judgment module used for extracting the action track of each worker from the fixed point images and the dynamic images and comparing and judging the action track with the intelligent bracelet positioning information of the worker, and the server is connected with a field alarm module;
the server is connected with a data storage module which is used for storing dangerous behaviors of various workers identified by the dangerous behavior identification module and extracting action tracks of various workers from fixed-point images and dynamic images by the track judgment module, the data storage module is connected with a two-dimensional code generation module which is used for generating two-dimensional codes corresponding to the workers one by one, and the data storage module is connected with an information statistics module which is used for counting early warning information.
Preferably, the intelligent bracelet stores personal information, affiliated department information and affiliated job information of the staff, and the stored information in the intelligent bracelet is changed by an individual.
Preferably, the account management module is configured to add, change, and delete account information corresponding to a worker, and can manage an operation authority according to an account role;
the account information comprises personal information, affiliated department information, affiliated job information and face information, and the account information in the account management module is changed by a company in real time.
Preferably, the attendance checking device comprises a face collecting device, the server judges that the storage information in the intelligent bracelet, the face information collected by the face collecting device and the account information corresponding to the staff in the account management module are completely the same, and when the current entrance time is within the corresponding set entrance time of the staff, the server opens the access control device.
Preferably, when the server judges that the intelligent bracelet locating position collected by the information acquisition module is located outside the activity area corresponding to the worker, the server controls the intelligent bracelet of the worker to vibrate and prompt through the wireless communication module.
Preferably, the dangerous behavior recognition module is configured to recognize the dangerous behaviors in the fixed-point image and the dynamic image by establishing a dangerous behavior recognition model and training the dangerous behavior recognition model, and specifically includes:
acquiring various types of dangerous behavior data on site, performing dangerous grade division on various types of dangerous behaviors, performing normalization processing on the data, and dividing the data into a training set and a test set;
inputting the training set into a dangerous behavior recognition model and training by a gradient descent method, and stopping training when the loss function is smaller than a threshold value;
carrying out accuracy test on the trained dangerous behavior recognition model by using the test set until the accuracy of the dangerous behavior recognition model reaches a threshold value;
and recognizing the dangerous behaviors in the fixed-point images and the dynamic images by using the trained dangerous behavior recognition model.
Preferably, when the dangerous behavior recognition module recognizes a dangerous behavior from the fixed point image and the dynamic image, the controller controls the human body recognition module to recognize a worker who makes the dangerous behavior, and the data storage module stores the worker and the dangerous behavior made by the worker together.
Preferably, when the track judgment module judges that the action track of the worker extracted from the fixed-point image and the dynamic image is different from the intelligent bracelet positioning information of the worker, the controller controls the intelligent bracelet of the worker to perform vibration prompt through the wireless communication module and controls the field alarm module to alarm;
the track judging module judges that the action track of the worker extracted from the fixed-point image and the dynamic image is completely the same as the intelligent bracelet positioning information of the worker, and the data storage module stores the worker and the action track of the worker together.
Preferably, fixed point image acquisition equipment is including locating the video monitoring equipment of on-the-spot key point position department, dynamic image acquisition equipment includes unmanned aerial vehicle monitoring equipment that cruises.
(III) advantageous effects
Compared with the prior art, the hydraulic engineering field personnel safety management system based on multi-device sensing improves the safety operation consciousness of constructors and reduces the occurrence of illegal behaviors by utilizing an informatization means and combining an intelligent sensing device and a data analysis technology through the collection and identification of personnel identity information and the effective identification of construction behaviors, and discovers dangerous behavior hidden dangers in time and reduces the occurrence rate of safety accidents through the multi-dimensional analysis of collected data.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The utility model provides a hydraulic engineering field personnel safety control system based on multi-device perception, as shown in figure 1, including the server, and the information acquisition unit that links to each other with the server, the information acquisition unit is including the intelligent bracelet that is used for advancing the location to the staff, an attendance equipment for advancing the attendance to the staff, a fixed point image acquisition equipment for gathering fixed point image, a dynamic image acquisition equipment for gathering dynamic image, and install the information acquisition module that is used for gathering the locating information of intelligent bracelet and storage information on fence, the server links to each other with account management module, the server links to each other with the time of approach setting module that is used for setting for different time of approach to each staff, the server sets up the module with the fence that is used for setting up each staff and corresponds the activity region.
The intelligent bracelet stores personal information, affiliated department information and affiliated job information of the staff, and the stored information in the intelligent bracelet is changed by an individual.
The account management module is used for adding, changing and deleting the account information corresponding to the staff, and managing the operation authority according to the account role. The account information comprises personal information, affiliated department information, affiliated job information and face information, and the account information in the account management module is changed by a company in real time.
The attendance checking equipment comprises face acquisition equipment, the server judges that the stored information in the intelligent bracelet, the face information acquired by the face acquisition equipment and the account information corresponding to the staff in the account management module are completely the same, and when the current entrance time is within the corresponding set entrance time of the staff, the server opens the access control equipment.
Through the matching of information and the control of approach time, the approach personnel can be effectively supervised, the number of irrelevant personnel in a construction site is reduced, and the completion efficiency of each construction process is effectively improved.
When the server judges that the intelligent bracelet locating position acquired by the information acquisition module is located outside the activity area corresponding to the worker, the server controls the intelligent bracelet of the worker to vibrate for prompting through the wireless communication module.
Information acquisition is carried out to the intelligence bracelet that is close to personnel to the information acquisition module on the fence through the fence restriction activity area of each staff to the utilization is installed for each regional personnel that are professional responsible of job site carries out construction operation, reduces the incidence of incident.
The server is connected with a dangerous behavior recognition module used for recognizing dangerous behaviors from the fixed-point images and the dynamic images, the server is connected with a human body recognition module used for recognizing each worker in the fixed-point images and the dynamic images, the server is connected with a track judgment module used for extracting action tracks of each worker from the fixed-point images and the dynamic images and comparing and judging the action tracks with intelligent bracelet positioning information of the workers, and the server is connected with the field alarm module.
The dangerous behavior recognition module is used for recognizing dangerous behaviors in the fixed-point images and the dynamic images by establishing a dangerous behavior recognition model and training the dangerous behavior recognition model, and specifically comprises the following steps:
acquiring various types of dangerous behavior data on site, performing dangerous grade division on various types of dangerous behaviors, performing normalization processing on the data, and dividing the data into a training set and a test set;
inputting the training set into a dangerous behavior recognition model and training by a gradient descent method, and stopping training when the loss function is smaller than a threshold value;
carrying out accuracy test on the trained dangerous behavior recognition model by using the test set until the accuracy of the dangerous behavior recognition model reaches a threshold value;
and recognizing the dangerous behaviors in the fixed-point images and the dynamic images by using the trained dangerous behavior recognition model.
The server is connected with a data storage module which is used for storing dangerous behaviors of various workers identified by the dangerous behavior identification module and extracting action tracks of various workers from the fixed-point images and the dynamic images by the track judgment module, the data storage module is connected with a two-dimensional code generation module which is used for generating two-dimensional codes corresponding to the workers one by one, and the data storage module is connected with an information statistics module which is used for counting early warning information.
When the dangerous behavior recognition module recognizes the dangerous behavior from the fixed-point image and the dynamic image, the controller controls the human body recognition module to recognize the staff who makes the dangerous behavior, and the data storage module stores the staff and the dangerous behavior made by the staff together.
In the technical scheme, the dangerous behaviors specifically comprise whether a safety helmet is worn or not, whether the safety helmet runs during operation or not, whether the safety helmet stays under a lifted object, whether the safety helmet climbs in an unsafe position or not, and the like.
When the track judgment module judges that the action track of the worker extracted from the fixed-point image and the dynamic image is different from the intelligent bracelet positioning information of the worker, the controller controls the intelligent bracelet of the worker to carry out vibration prompt through the wireless communication module and controls the field alarm module to alarm;
the track judging module judges that the action track of the worker extracted from the fixed-point image and the dynamic image is completely the same as the intelligent bracelet positioning information of the worker, and the data storage module stores the worker and the action track of the worker together.
When the dangerous behavior recognition module recognizes dangerous behaviors from the fixed point images and the dynamic images, or the track judgment module judges that action tracks of workers extracted from the fixed point images and the dynamic images are different from the intelligent bracelet positioning information of the workers, early warning information is generated and stored in the data storage module. The information statistics module summarizes various types of early warning information, mainly realizes the type statistics of the early warning information, the early warning information statistics at different times and the like, and provides a basis for safety management and scientific decision.
The two-dimensional codes are made into the work cards of the workers, and whether the workers make dangerous behaviors or not and the action tracks after entering the field can be checked by scanning the two-dimensional codes corresponding to the workers.
In this application technical scheme, fixed point image acquisition equipment is including locating the video monitoring equipment of on-the-spot key point position department, and dynamic image acquisition equipment includes unmanned aerial vehicle supervisory equipment that cruises.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (9)
1. The utility model provides a hydraulic engineering field personnel safety control system based on many equipment perceptions which characterized in that: the system comprises a server and an information acquisition unit connected with the server, wherein the information acquisition unit comprises an intelligent bracelet used for positioning workers, attendance equipment used for checking attendance on the workers, fixed-point image acquisition equipment used for acquiring fixed-point images, dynamic image acquisition equipment used for acquiring dynamic images, and an information acquisition module which is arranged on an electronic fence and used for acquiring positioning information and storage information of the intelligent bracelet, the server is connected with an account management module, the server is connected with an entrance time setting module used for setting different entrance times for the workers, and the server is connected with the electronic fence setting module used for setting corresponding activity areas of the workers;
the server is connected with a dangerous behavior recognition module used for recognizing dangerous behaviors from the fixed point images and the dynamic images, the server is connected with a human body recognition module used for recognizing each worker in the fixed point images and the dynamic images, the server is connected with a track judgment module used for extracting the action track of each worker from the fixed point images and the dynamic images and comparing and judging the action track with the intelligent bracelet positioning information of the worker, and the server is connected with a field alarm module;
the server is connected with a data storage module which is used for storing dangerous behaviors of various workers identified by the dangerous behavior identification module and extracting action tracks of various workers from fixed-point images and dynamic images by the track judgment module, the data storage module is connected with a two-dimensional code generation module which is used for generating two-dimensional codes corresponding to the workers one by one, and the data storage module is connected with an information statistics module which is used for counting early warning information.
2. The hydraulic engineering field personnel safety management system based on multi-device perception according to claim 1, is characterized in that: the intelligent bracelet stores personal information, affiliated department information and affiliated job information of the staff, and the stored information in the intelligent bracelet is changed by an individual.
3. The hydraulic engineering field personnel safety management system based on multi-device perception according to claim 2, wherein: the account management module is used for adding, changing and deleting account information corresponding to a worker and managing operation authority according to an account role;
the account information comprises personal information, affiliated department information, affiliated job information and face information, and the account information in the account management module is changed by a company in real time.
4. The hydraulic engineering field personnel safety management system based on multi-device perception according to claim 3, wherein: the attendance checking equipment comprises face collecting equipment, the server judges that the stored information in the intelligent bracelet, the face information collected by the face collecting equipment and the account information corresponding to the staff in the account management module are completely the same, and when the current entrance time is within the corresponding set entrance time of the staff, the server opens the access control equipment.
5. The hydraulic engineering field personnel safety management system based on multi-device perception according to claim 1, is characterized in that: when the server judges that the intelligent bracelet positioning position acquired by the information acquisition module is located outside the activity area corresponding to the worker, the server controls the intelligent bracelet of the worker to vibrate for prompting through the wireless communication module.
6. The hydraulic engineering field personnel safety management system based on multi-device perception according to claim 1, is characterized in that: the dangerous behavior recognition module is used for recognizing dangerous behaviors in the fixed-point images and the dynamic images by establishing a dangerous behavior recognition model and training the dangerous behavior recognition model, and specifically comprises the following steps:
acquiring various types of dangerous behavior data on site, performing dangerous grade division on various types of dangerous behaviors, performing normalization processing on the data, and dividing the data into a training set and a test set;
inputting the training set into a dangerous behavior recognition model and training by a gradient descent method, and stopping training when the loss function is smaller than a threshold value;
carrying out accuracy test on the trained dangerous behavior recognition model by using the test set until the accuracy of the dangerous behavior recognition model reaches a threshold value;
and recognizing the dangerous behaviors in the fixed-point images and the dynamic images by using the trained dangerous behavior recognition model.
7. The hydraulic engineering field personnel safety management system based on multi-device perception according to claim 6, is characterized in that: when the dangerous behavior recognition module recognizes dangerous behaviors from the fixed-point images and the dynamic images, the controller controls the human body recognition module to recognize workers making the dangerous behaviors, and the data storage module stores the workers and the dangerous behaviors made by the workers together.
8. The hydraulic engineering field personnel safety management system based on multi-device perception according to claim 1, is characterized in that: when the track judgment module judges that the action track of the worker extracted from the fixed-point image and the dynamic image is different from the intelligent bracelet positioning information of the worker, the controller controls the intelligent bracelet of the worker to carry out vibration prompt through the wireless communication module and controls the field alarm module to alarm;
the track judging module judges that the action track of the worker extracted from the fixed-point image and the dynamic image is completely the same as the intelligent bracelet positioning information of the worker, and the data storage module stores the worker and the action track of the worker together.
9. The hydraulic engineering field personnel safety management system based on multi-device perception according to any one of claims 6-8, wherein: fixed point image acquisition equipment is including locating the video monitoring equipment of on-the-spot key point position department, dynamic image acquisition equipment includes unmanned aerial vehicle monitoring equipment that cruises.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011604957.9A CN112651642A (en) | 2020-12-29 | 2020-12-29 | Hydraulic engineering field personnel safety management system based on multi-device perception |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011604957.9A CN112651642A (en) | 2020-12-29 | 2020-12-29 | Hydraulic engineering field personnel safety management system based on multi-device perception |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112651642A true CN112651642A (en) | 2021-04-13 |
Family
ID=75363985
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011604957.9A Pending CN112651642A (en) | 2020-12-29 | 2020-12-29 | Hydraulic engineering field personnel safety management system based on multi-device perception |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112651642A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113223221A (en) * | 2021-05-08 | 2021-08-06 | 江苏跨网智能科技有限公司 | Laboratory personnel behavior identification method and system based on deep learning network |
| CN113393114A (en) * | 2021-06-10 | 2021-09-14 | 北京国电思达科技有限公司 | Wind power hoisting safety management system, method and device and electronic equipment |
| CN113449978A (en) * | 2021-06-23 | 2021-09-28 | 河北省送变电有限公司 | Job site personnel management system |
| CN113506416A (en) * | 2021-07-03 | 2021-10-15 | 山东省水利勘测设计院 | Engineering abnormity early warning method and system based on intelligent visual analysis |
| CN116245369A (en) * | 2023-03-28 | 2023-06-09 | 江苏鼎达电气科技有限公司 | Digital intelligent construction management system and method for hydraulic engineering |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107240224A (en) * | 2017-06-30 | 2017-10-10 | 上海建工集团股份有限公司 | Suitable for the intelligent and safe bracelet and its monitoring method in construction site |
| CN108446866A (en) * | 2018-04-26 | 2018-08-24 | 中船第九设计研究院工程有限公司 | A kind of wisdom site safety management platform system framework |
| CN108764418A (en) * | 2018-08-30 | 2018-11-06 | 河南工程学院 | Attendance and personnel safety monitoring system based on wireless sensor network and method |
| CN208766726U (en) * | 2018-06-27 | 2019-04-19 | 常州力航电气科技有限公司 | A kind of wisdom building site networking system of real name access control system |
| CN109688372A (en) * | 2018-11-16 | 2019-04-26 | 万翼科技有限公司 | A kind of management method of intelligent wearable device |
| CN110738779A (en) * | 2019-10-25 | 2020-01-31 | 上海燕汐软件信息科技有限公司 | personnel trajectory detection method, system and device |
| CN111027487A (en) * | 2019-12-11 | 2020-04-17 | 山东大学 | Behavior recognition system, method, medium, and apparatus based on multi-convolution kernel residual network |
| CN111178465A (en) * | 2019-12-20 | 2020-05-19 | 国网山东省电力公司莱芜供电公司 | Transformer substation construction operator safety control system based on information passive storage and active positioning |
| CN111479089A (en) * | 2020-04-15 | 2020-07-31 | 云南电网有限责任公司曲靖供电局 | Power grid construction monitoring method and system based on Beidou positioning |
-
2020
- 2020-12-29 CN CN202011604957.9A patent/CN112651642A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107240224A (en) * | 2017-06-30 | 2017-10-10 | 上海建工集团股份有限公司 | Suitable for the intelligent and safe bracelet and its monitoring method in construction site |
| CN108446866A (en) * | 2018-04-26 | 2018-08-24 | 中船第九设计研究院工程有限公司 | A kind of wisdom site safety management platform system framework |
| CN208766726U (en) * | 2018-06-27 | 2019-04-19 | 常州力航电气科技有限公司 | A kind of wisdom building site networking system of real name access control system |
| CN108764418A (en) * | 2018-08-30 | 2018-11-06 | 河南工程学院 | Attendance and personnel safety monitoring system based on wireless sensor network and method |
| CN109688372A (en) * | 2018-11-16 | 2019-04-26 | 万翼科技有限公司 | A kind of management method of intelligent wearable device |
| CN110738779A (en) * | 2019-10-25 | 2020-01-31 | 上海燕汐软件信息科技有限公司 | personnel trajectory detection method, system and device |
| CN111027487A (en) * | 2019-12-11 | 2020-04-17 | 山东大学 | Behavior recognition system, method, medium, and apparatus based on multi-convolution kernel residual network |
| CN111178465A (en) * | 2019-12-20 | 2020-05-19 | 国网山东省电力公司莱芜供电公司 | Transformer substation construction operator safety control system based on information passive storage and active positioning |
| CN111479089A (en) * | 2020-04-15 | 2020-07-31 | 云南电网有限责任公司曲靖供电局 | Power grid construction monitoring method and system based on Beidou positioning |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113223221A (en) * | 2021-05-08 | 2021-08-06 | 江苏跨网智能科技有限公司 | Laboratory personnel behavior identification method and system based on deep learning network |
| CN113393114A (en) * | 2021-06-10 | 2021-09-14 | 北京国电思达科技有限公司 | Wind power hoisting safety management system, method and device and electronic equipment |
| CN113449978A (en) * | 2021-06-23 | 2021-09-28 | 河北省送变电有限公司 | Job site personnel management system |
| CN113506416A (en) * | 2021-07-03 | 2021-10-15 | 山东省水利勘测设计院 | Engineering abnormity early warning method and system based on intelligent visual analysis |
| CN116245369A (en) * | 2023-03-28 | 2023-06-09 | 江苏鼎达电气科技有限公司 | Digital intelligent construction management system and method for hydraulic engineering |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112651642A (en) | Hydraulic engineering field personnel safety management system based on multi-device perception | |
| CN112785798B (en) | Behavior analysis method for constructors of power substation engineering construction project | |
| CN108915771B (en) | Cloud control mine comprehensive management system | |
| CN111445106B (en) | Safety control method and system for fault processing operation site of electricity acquisition equipment | |
| CN107067730B (en) | Network appointment vehicle-man-vehicle inconsistency monitoring method based on bayonet equipment | |
| CN112183317A (en) | Live working field violation behavior detection method based on space-time diagram convolutional neural network | |
| CN111914687B (en) | Method for actively identifying accidents based on Internet of vehicles | |
| CN114155614B (en) | Method and system for identifying anti-violation behavior of operation site | |
| CN112112629A (en) | Safety business management system and method in drilling operation process | |
| CN113449959A (en) | Mine personnel behavior governance system and platform | |
| CN110543866A (en) | Safety management system and method for capital construction engineering constructors | |
| CN108776452B (en) | Special equipment field maintenance monitoring method and system | |
| CN112541439A (en) | Intelligent video monitoring method and system for power plant | |
| CN112465407A (en) | Capital construction site safety monitoring system | |
| CN112819374A (en) | System and method for risk management of railway bridge constructors | |
| CN112419571A (en) | Distributed substation safety operation monitoring device and method based on light load algorithm | |
| CN112861826A (en) | Coal mine supervision method, system, equipment and storage medium based on video image | |
| CN115761591A (en) | Multi-operation-site violation identification method | |
| CN111260898A (en) | Monitoring system and monitoring method for field worker behaviors | |
| CN112541656A (en) | Intelligent security integrated platform with risk potential prediction capability | |
| CN115909212A (en) | Real-time early warning method for typical violation behaviors of power operation | |
| CN115470938A (en) | Vehicle maintenance method and system | |
| CN115019259A (en) | AI image recognition supervision method and system for intelligent mine | |
| CN115346301A (en) | Rapid personnel identification passing method and system for card gate | |
| CN107909159A (en) | A kind of municipal rail train emergence treating method |
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 |