[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN113191275A - Internet of things monitoring system based on intelligent fire fighting and monitoring method thereof - Google Patents

Internet of things monitoring system based on intelligent fire fighting and monitoring method thereof Download PDF

Info

Publication number
CN113191275A
CN113191275A CN202110486800.9A CN202110486800A CN113191275A CN 113191275 A CN113191275 A CN 113191275A CN 202110486800 A CN202110486800 A CN 202110486800A CN 113191275 A CN113191275 A CN 113191275A
Authority
CN
China
Prior art keywords
module
accident
data
grade
fire fighting
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
Application number
CN202110486800.9A
Other languages
Chinese (zh)
Inventor
李凤华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN202110486800.9A priority Critical patent/CN113191275A/en
Publication of CN113191275A publication Critical patent/CN113191275A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174Facial expression recognition
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00Economic sectors
    • G16Y10/35Utilities, e.g. electricity, gas or water
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/52Network services specially adapted for the location of the user terminal

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Educational Administration (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Computing Systems (AREA)
  • Marketing (AREA)
  • Multimedia (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • Medical Informatics (AREA)
  • Accounting & Taxation (AREA)
  • Computer Security & Cryptography (AREA)
  • Primary Health Care (AREA)
  • Alarm Systems (AREA)

Abstract

The invention discloses an Internet of things monitoring system based on intelligent fire protection and a monitoring method thereof. The elevator speed is adjusted through the speed reduction adjusting module, and the elevator speed is reasonably adjusted in a more accident scale through the data judging module, so that the time during evacuation is shortened, the times of evacuating personnel are increased, and the weight borne by the elevator during evacuation is adjusted through the weight adjusting module, so that more personnel can be accommodated.

Description

Internet of things monitoring system based on intelligent fire fighting and monitoring method thereof
Technical Field
The invention relates to the field of monitoring of the Internet of things, in particular to an Internet of things monitoring system based on intelligent fire fighting and a monitoring method thereof.
Background
At present, the in-process of indoor fire control, current fire equipment can have the condition at dead angle at the in-process that carries out the fire control and detect, and the emergence of the accident that has no way to monitor the very first time, and when the emergence accident, current passway for escaping can not be quick evacuate the crowd, can not judge the very first time simultaneously, the severity of accident, and carry out reasonable arrangement and handle.
Disclosure of Invention
The invention aims to provide an intelligent fire-fighting-based Internet of things monitoring system and a monitoring method thereof, and aims to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a thing networking monitoring system based on wisdom fire control, includes data center, data center has fire control detecting system, fire control decision system, historical investigation system and flees from system, power reserve module and data transfer system fast through wire electrical property respectively, and data transfer system collects the transfer to data, data transfer system installs fire control detection determination module, fire control decision determination module, historical investigation determination module and flees from determination module fast respectively through the wire, data transfer system installs the categorised connection module respectively through the wire, connects judgment module, transfer reserve module, and the data of transfer reserve module to the transfer are reserved, and the categorised connection module carries out classification to the data that different systems sent, data transfer system has data repository, data repository through wire electrical property respectively, An identification module, a history investigation determination module, a fire fighting judgment determination module, a rapid escape determination module, a fire fighting detection determination module, a grade determination module and an access roll-out module, the access and transfer-out module accesses and transfers data, the identification module classifies the transmitted data, the grade judging module carries out grade judgment on the received data condition, the access and roll-out module is respectively and electrically connected with the history investigation determining module, the fire fighting judging determining module, the rapid escape determining module and the fire fighting detection determining module through leads, the fire-fighting detection system is respectively provided with a positioning module, a determining module, a control module, a face recognition module, an emotion recognition module and a face focusing module through leads, the face recognition module and the emotion recognition module detect emotion changes of faces, and the positioning module positions the fire-fighting detection system at a relative position in time.
Furthermore, the data repository is provided with an automatic backup module through a wire, the automatic backup module automatically backs up the received data, the access roll-out module is electrically connected with the protection module and the judgment selection module through wires, and the judgment selection module judges the received data and accesses the inside of the relative system module.
Further, control module installs position start module, camera, fire control head and position module respectively through the wire, the fire control head passes through wire and position module electric connection, and position module selects the position of fire control head, confirm that the module has grade judgment module and standard identification module electric connection through wire electric installation, and grade judgment module judges the data grade of receipt, and compares data through standard identification module.
Further, the fire control judges that the system has crowd evacuation module, position identification module, snapshot module and classification module through wire electrical property, and position identification module confirms the floor of occurence of failure, and snapshot module carries out the statistics of shooing to the crowd when sparse, classification module has standard level module through wire electrical connection, and standard level module carries out the judgement classification of grade to the condition of taking place.
Further, the signal is strengthened the module through wire electrical installation to the position recognition module, and the signal strengthens the intensity that the module increased the signal, the module of taking a candid photograph has calculation module through wire electrical installation, and calculation module carries out the judgement of number to the picture of taking a candid photograph, calculation module installs quick calculation module and human identification module through the wire electrical installation, and quick calculation module increases the efficiency of taking a candid photograph crowd calculation, and human identification module discerns the crowd of fearing to and improves the accuracy of calculating.
Furthermore, the history checking system is electrically connected with a history feedback module, an accident triggering module, a grade recording module, a checking recording module, a butt joint module, an accident recording module and a marking module through leads, the accident recording module records the accident, the grade recording module records the grade of the accident, the history feedback module is electrically connected with the accident triggering module through a lead, the accident triggering module is started after the accident reaches a certain number of times, the history feedback module feeds back the accident occurrence condition in time, the grade recording module is electrically provided with a grade scale module and a grade time module through a lead, and the grade scale module and the grade time module judge the grade of the accident, and the accident recording module is electrically provided with an automatic sequencing module through a wire and automatically sequences according to the time of the accident.
Furthermore, the quick escape system is provided with an independent lighting module, a crowd guiding module and a floor recognition module through a wire, the floor recognition module judges the floor where the accident occurs, the independent lighting module plays a role in clearing the accident, the floor recognition module is provided with an elevator single control module and a floor circuit breaking module through the wire, the floor circuit breaking module cuts off the elevators on other floors where the accident does not occur, and the elevator single control module controls the elevator on the floor where the accident occurs.
Furthermore, the elevator single control module is electrically provided with a speed reduction adjusting module, an independent power supply module and a weight adjusting module which are electrically connected through a wire, the speed reduction adjusting module adjusts the speed reduction of the elevator, and the weight adjusting module adjusts the capacity of the elevator.
Furthermore, the speed reduction adjusting module is electrically provided with a data judging module through a wire.
A detection method of an Internet of things monitoring system based on intelligent fire fighting comprises the following specific implementation steps:
the method comprises the following steps: when the face recognition module is used for capturing emotion, when the emotion reaches the emotion change standard stored in the standard recognition module, the accident condition is judged by the grade judgment module, the position where the accident occurs is positioned by the positioning module and is transmitted to the access transfer-out module for classification, when the emotion reaches the emotion change standard which is stored in the standard recognition module, the data is transmitted to the data center system by the fire fighting detection determination module, the data in the data center system is analyzed and judged by the data repository in the data center system and is transmitted to the data center for judgment, the fire fighting equipment is determined by combining the grade judging module and the determining module, if the fire fighting equipment is primary, the fire fighting head at the relative position is started through the position module and the position starting module, the fire fighting material is sprayed to an accident site, and if the fire fighting equipment is intermediate or high, different numbers of fire fighters and fire fighting equipment are dispatched according to specific accident conditions after the fire fighting head at the relative position is started, the fire fighters can quickly arrive at the accident site through the positioning module, and the accident prediction and the data classification processing and transmission are carried out through the staff, so that the accident prediction efficiency is improved, and the accident occurrence range is reduced;
step two: when an accident occurs in a certain place, the evacuated crowd is quickly snapshotted by a snapshotting module in the fire fighting judgment system, the number of the snapshotted crowd is quickly calculated by a calculation module and a quick calculation module, the accuracy of the crowd calculation is improved by a human body identification module, a position identification module is triggered to position the accident site, data is transmitted to an access roll-out module, the input data is judged by a judgment and selection module and is transmitted to the corresponding module, the data is transmitted to a data center system, the data is stored by a grade judgment module and a data repository and is transmitted to a data center, the accident condition is judged according to the data in the center system, and therefore, the number of fire fighters and the fire fighting mode are selected to be discharged, through the snapshot module and the calculation module, the user can intuitively know how many people are not evacuated in the incident place and carry out a relative fire fighting mode;
step three: when an accident occurs, a history investigation system is started, the accident recording module is used for automatically recording the occurred accident, the data collected by the accident are identified by the marking module while recording, later-stage searching is facilitated, the grade of the accident is recorded by the grade recording module, the grade time module and the grade scale module are used for recording the scale of the accident and the time of the accident, when the occurred accident reaches a certain number of times, the accident triggering module is triggered to transmit the data to the access transferring-out module, the received data is judged by the judgment and selection module and is input into the corresponding module, the data is transmitted to the data center system to be identified and then transmitted to the data center to analyze and judge the data, and the accident site is accurately positioned by the butt joint module, the accident site is conveniently checked by the staff, the reason of the accident occurring for many times is checked, and the checking times are recorded through the history feedback module;
step four: when an accident occurs on a certain floor, the elevators on other floors are closed through the floor circuit breaking module, the elevator single control module is triggered to be electrically connected with the elevator on the corresponding floor, the lifting speed of the elevator is adjusted through the speed reduction adjusting module, the speed of the elevator is reasonably adjusted through the data judging module in a more accident scale, so that the time during evacuation is shortened, the times of evacuating people are increased, the weight borne by the elevator is adjusted through the weight adjusting module during evacuation, more people can be accommodated, the fast escape system is independent through the independent power supply module, the influence of the external environment is reduced without depending on an external power supply, the floor with the accident is sent to the access transferring-out module through the floor identifying module, the judgment and selection are carried out through the judgment and selection module, and the access corresponding module is transmitted to the inside of the data center system, the grade of accident is judged through the grade judging module, and then the accident is transmitted to the data center for analysis and judgment, and then the corresponding floor is reached according to the specific accident condition, so that the crowd can be evacuated rapidly while rescue is carried out, and the evacuation efficiency is improved.
Compared with the prior art, the invention has the beneficial effects that:
1. in the working process of the invention, the corresponding face part is aligned by a plurality of cameras, the definition of face recognition is increased by the face focusing module, when an accident occurs, under the condition that the conventional fire-fighting institution does not find the accident, through the emotion recognition module, the emotion change of the human face is judged, and meanwhile, the level of the emotion change is graded through a level module, and transmits the data to a data center, the firefighters can arrange relative measures according to different grades, and the corresponding fire fighting head is opened through the control module and the position module to carry out fire fighting operation, so that the fire fighting equipment can not be found in the conventional fire fighting equipment, can judge the place and probability of possible accidents according to the emotional changes of the face of the worker, the accident monitoring system can timely perform prevention treatment, reduce the probability of accidents and play a good role in monitoring the accidents just happening;
2. when an accident occurs at a certain place, people are evacuated in time through the crowd evacuation module, and in the evacuation process, through the snapshot module, the evacuated crowd is captured, and the captured crowd is rapidly calculated through the calculation module and the rapid calculation module, the accuracy of calculation is increased through the human body recognition module, when numerical control is transmitted to the data center, the grade division is carried out according to the number of the crowd to be evacuated, and meanwhile, through the position recognition module, the accident place is positioned, so that the grade of the accident can be judged according to the number of the evacuated people, meanwhile, the snapshot module can judge the accident site and the number of people who are not evacuated, thereby determining a reasonable solution scheme and dispatching a number of fire fighters and fire fighting equipment, and preventing the fire fighting resources from being wasted;
3. when an accident occurs, the accident recording module records the number of times of the accident, the grade scale module and the grade time module record the time and the scale of the accident, when the number of times of the accident reaches a certain number, the accident triggering module is triggered to send the number of times and the place of the accident to the data center through the butt joint module, so that the data center sends out firemen after judging, inspects places where the accident occurs for many times, finds out the reasons of the accident occurring for many times, reduces the probability of the accident occurring for the next time, records the inspected historical data through the historical feedback module, and is convenient to use when later-stage maintenance is carried out;
4. when the floor has an accident, the floor with the accident is positioned by the floor identification module, the elevator doors of other floors are closed by the floor short-circuit module, so that the elevator door of the floor with the accident can be normally used, all elevators are controlled by the elevator single control module, and is separated from the circuit used before, and the elevator used in evacuation is not dependent on the external power supply through the independent power supply module, so as to increase the safety in evacuation, when in dredging, the data judgment module judges the grade of the accident and adjusts the weight of the people that can be carried by the elevator and the lifting speed during evacuation, thus when the accident happens, through closing the accidental elevator door of the accident floor and adjusting the weight and the speed of the elevator during evacuation, the crowd evacuation efficiency during accidents is improved, and people can be rapidly evacuated to a safe area.
Drawings
Fig. 1 is a schematic diagram of the overall structure of an internet of things monitoring system based on intelligent fire fighting;
FIG. 2 is a schematic diagram of data neutrality in an Internet of things monitoring system based on intelligent fire fighting according to the present invention;
FIG. 3 is a schematic diagram of a fire detection system in an Internet of things monitoring system based on intelligent fire protection according to the present invention;
FIG. 4 is a schematic diagram of a fire-fighting decision system in an Internet of things monitoring system based on intelligent fire fighting according to the invention;
FIG. 5 is a schematic diagram of a history checking system in an Internet of things monitoring system based on intelligent fire protection according to the present invention;
fig. 6 is a schematic diagram of a fast escape system in an internet of things monitoring system based on intelligent fire protection.
In FIGS. 1-6: 1. a data center; 2. a data transfer system; 3. a connection judgment module; 4. a transfer reserve module; 5. a history checking system; 6. a fire fighting decision system; 7. a fire detection system; 8. a rapid escape system; 9. a classification connection module; 10. a power reserve module; 11. an identification module; 12. a data repository; 13. an automatic backup module; 14. a fire detection determination module; 15. a grade judging module; 16. a fast escape determination module; 17. a protection module; 18. a roll-out module is accessed; 19. a judgment selection module; 20. a fire fighting decision determination module; 21. a history investigation determination module; 22. a location module; 23. a fire head; 24. a control module; 25. a position starting module; 26. a face recognition module; 27. an emotion recognition module; 28. a face focusing module; 29. a determination module; 30. a grade judgment module; 31. a standard identification module; 32. a positioning module; 33. a camera; 34. a fast calculation module; 35. a snapshot module; 36. a calculation module; 37. a signal enhancement module; 38. a human body recognition module; 39. a location identification module; 40. a crowd evacuation module; 41. a standard level module; 42. a classification module; 43. a docking module; 44. an accident recording module; 45. an automatic sequencing module; 46. a marking module; 47. a history feedback module; 48. an accident triggering module; 49. a checking and recording module; 50. a grade time module; 51. a grade recording module; 52. a grade scale module; 53. a floor identification module; 54. an elevator single control module; 55. a deceleration adjusting module; 56. a data judgment module; 57. a weight adjustment module; 58. an independent power supply module; 59. a floor disconnect module; 60. an independent lighting module.
Detailed Description
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, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
Referring to fig. 1-6, the present invention provides a technical solution: the utility model provides a thing networking monitoring system based on wisdom fire control, including data center 1, data center 1 has fire control detecting system 8 through wire electrical property respectively, fire control decision-making system 6, historical investigation system 5 and quick escape system 7, power reserve module 10 and data transfer system 2, and data transfer system 2 collects the transfer to data, data transfer system 2 installs fire control detection confirm module 14 respectively through the wire, fire control decision confirm module 20, historical investigation confirm module 21 and quick escape confirm module 16, data transfer system 2 installs categorised connection module 9 respectively through the wire, connect judge module 3, transfer reserve module 4, and transfer reserve module 4 reserves the data of transfer, categorised connection module 9 carries out the classification to the data that different systems sent, data transfer system 2 has data repository 12 through wire electrical property respectively, The fire fighting detection system comprises an identification module 11, a history investigation determination module 21, a fire fighting judgment determination module 20, a rapid escape determination module 16, a fire fighting detection determination module 14, a grade determination module 15 and an access roll-out module 18, wherein the access roll-out module 18 accesses and rolls out data, the identification module 11 classifies the transmitted data, the grade determination module 15 performs grade determination on the received data, the access roll-out module 18 is respectively and electrically connected with the history investigation determination module 21, the fire fighting judgment determination module 20, the rapid escape determination module 16 and the fire fighting detection determination module 14 through leads, the fire fighting detection system 7 is respectively provided with a positioning module 32, a determination module 29, a control module 24, a face recognition module 26, an emotion recognition module 27 and a face focusing module 28 through leads, the face recognition module 26 and the emotion recognition module 27 detect emotion changes of faces, the positioning module 32 positions the fire detection system 7 at a relative position in time.
Automatic backup module 13 is installed through the wire to data repository 12, and automatic backup module 13 is automatic backup to the data of receipt, the module 18 of transferring out of inserts passes through wire and protection module 17, judge and select 19 electric connection of module, judge and select 19 data of receiving and judge, and insert inside the relative system module, it has grade judgment module 30 and standard identification module 31 to confirm module 29 through the wire electric installation, grade judgment module 30 judges the grade of fire control, and standard identification module 31 plays the standard of fire incident, compare the judgement, can start corresponding fire control head 23 through position module 22 like this and spray fire-fighting material and carry out the fire-fighting measure, and through sign identification module 31, compare the judgement to the data of transmitting to the inside of grade judgment module 30.
Control module 24 installs position start module 25, camera 33, fire control head 23 and position module 22 respectively through the wire, and fire control head 23 passes through wire and position module 22 electric connection, and position module 22 selects the position of fire control head 23, can spray the fire control operation through the fire control head 23 of the start relative position that position module 22 can be quick like this.
Fire control decision-making system 6 has crowd evacuation module 40 through wire electrical installation, position identification module 39, snapshot module 35 and classification module 42, position identification module 39 is confirmed the floor of occurence of failure, and snapshot module 35 is to the crowd when sparse statistics of shooing, classification module 42 has standard level module 41 through wire electrical connection, and standard level module 41 carries out the judgement classification of grade to the condition of taking place, can pass through position identification module 39 like this, can make the staff can be quick know the occurence of failure district, and the quick past of catching, and carry out quick snapshot through snapshot module 35 to the crowd in sparse, thereby calculate sparse crowd's quantity.
The position recognition module 39 is electrically provided with a signal enhancement module 37 through a wire, the signal enhancement module 37 increases the intensity of the signal, the snapshot module 35 is electrically provided with an operation module 36 through a wire, the operation module 36 judges the number of people in the snapshot picture, the operation module 36 is electrically provided with a rapid calculation module 34 and a human body recognition module 38 through a wire, the rapid calculation module 34 increases the calculation efficiency of the snapshot people, and the human body recognition module 38 recognizes the scared people to improve the accuracy of calculation, so that when an accident occurs in a certain place, the evacuated crowd is quickly captured by the capturing module 35 inside the fire fighting decision system 6, and then through the calculation module 36 and the quick calculation module 34, the number of the people after snapshot is calculated quickly, and the accuracy of the people calculation is improved through the human body recognition module 38.
The history troubleshooting system 5 is electrically provided with a history feedback module 47, an accident triggering module 48, a grade recording module 51, a troubleshooting recording module 49, a butting module 43, an accident recording module 44 and a marking module 46 through leads, the accident recording module 44 records the accident, the grade recording module 51 records the grade of the accident, the history feedback module 47 is electrically connected with the accident triggering module 48 through leads, the accident triggering module 48 is started after the accident reaches a certain number of times, the history feedback module 47 feeds back the accident occurrence condition in time, the grade recording module 51 is electrically provided with a grade scale module 52 and a grade time module 50 through leads, the grade scale module 52 and the grade time module 50 judge the grade of the accident, the accident recording module 44 is electrically provided with an automatic sequencing module 45 through leads, and automatically sequences according to the time of the accident, so that when the accident happens, the history checking system 5 is started, the accident recording module 44 automatically records the occurred accident, and the marking module 46 marks the data collected by the accident, so as to facilitate later searching, and the grade of the accident is recorded by the grade recording module 51, and simultaneously by the grade time module 50 and the grade scale module 52, the size of the accident and the time of the accident are recorded, and when the accident occurs a certain number of times, the accident triggering module 48 is triggered, the data center 1 analyzes and judges the data, the butt joint module 43 accurately positions the accident site, workers can conveniently check the accident site, the reasons of multiple accidents are checked, and the number of times of checking is recorded through the history feedback module 47.
Independent lighting module 60 is installed through the wire electrical property to quick escape system 8, crowd guide module, floor identification module 53 carries out the judgement even to the floor that takes place the accident, definition when independent lighting module 60 plays the mediation, floor identification module 53 has elevator single control module 54 through the wire electrical property, floor circuit breaking module 59, and floor circuit breaking module 59 cuts off the elevator of other floors that do not take place the accident, elevator single control module 54 controls the operation to the elevator of accident floor, when taking place the accident like this, will close the elevator of other floors through floor circuit breaking module 59, trigger elevator single control module 54 simultaneously, close the elevator of other floors, only the elevator of accident can use, efficiency when increasing evacuation.
Elevator single control module 54 has speed reduction regulating module 55 through wire electrical property installation, independent power module 58 and weight adjustment module 57 electrical connection, and speed reduction regulating module 55 adjusts the speed reduction of elevator, weight adjustment module 57 adjusts the capacity of elevator, adjust the speed that the elevator goes up and down through speed reduction regulating module 55 like this, and through data judgment module 56, the scale of more having the accident carries out reasonable regulation to elevator speed, thereby reduce the time when sparse, increase evacuated personnel's number of times, and when sparse through weight adjustment module 57, the weight that the elevator bore is adjusted, then can hold more personnel.
The speed reduction adjusting module 55 is electrically provided with a data judging module 56 through a wire, so that the speed of the speed reduction adjusting module 55 is adjusted through the data judging module 56, and the fast escape system 8 is independent through an independent power supply module 58, does not depend on an external power supply, and is less affected by the external environment.
A detection method of an Internet of things monitoring system based on intelligent fire fighting comprises the following specific implementation steps:
the method comprises the following steps: when working in a working area, the face of a person at a relative position is aligned through the face focusing module 28 by the plurality of cameras 33 arranged in the working area, when an accident occurs, the worker can feel the accident in advance and change the emotion of the face of the person, the emotion recognition module 27 captures the emotion, when the emotion reaches the emotion change standard stored in the standard recognition module 31, the accident situation is judged by the grade judgment module 30, the position of the accident is positioned by the positioning module 32 and is transmitted to the access roll-out module 18 for classification, when the emotion reaches the emotion change standard stored in the standard recognition module 31, the data is transmitted to the data center system 2 by the fire detection determination module 14 after the emotion reaches the same class situation judged by the judgment selection module 19, the data is analyzed and judged by the data repository 12 in the data center system 2, then the fire-fighting materials are transmitted to the interior of the data center 1 for judgment, and the fire-fighting materials are determined by combining the grade judgment module 30 and the determination module 29, if the fire-fighting materials are primary, the fire-fighting head 23 at the relative position is started through the position module 22 and the position starting module 25, the fire-fighting materials are sprayed to the accident site, and if the fire-fighting materials are intermediate and high, after the fire-fighting head 23 at the relative position is started, different numbers of fire fighters and fire-fighting equipment are dispatched according to the specific accident situation, the fire fighters can quickly arrive at the accident site through the positioning module 32, and the accident prediction and data classification processing transmission are carried out through the staff, so that the accident prediction efficiency is increased, and the accident occurrence range is reduced;
step two: when an accident occurs in a certain place, the evacuated crowd is quickly captured by the capturing module 35 in the fire fighting judgment system 6, the number of the captured crowd is quickly calculated by the calculation module 36 and the quick calculation module 34, the accuracy of the crowd calculation is improved by the human body identification module 38, the position of the accident is positioned by the trigger position identification module 39, the data is transmitted to the access transferring-out module 18, the input data is judged by the judgment and selection module 19, the input data is transmitted to the corresponding module and then transmitted to the data center system 2, the data is stored by the grade judgment module 15 and the data repository 12, the data is transmitted to the data center 1, the accident condition is judged according to the data in the center system 1, and therefore, the number of fire fighters and the fire fighting mode are selected, through the snapshot module 35 and the calculation module 36, the number of people in the incident place can be intuitively known, and a relative fire fighting mode can be performed;
step three: when an accident occurs, the history investigation system 5 is started, the accident recording module 44 automatically records the occurred accident, the marking module 46 marks the data collected by the accident to facilitate later searching, the grade recording module 51 records the grade of the accident, the grade time module 50 and the grade scale module 52 record the scale of the accident and the time of the accident, when the occurred accident reaches a certain number of times, the accident triggering module 48 is triggered to transmit the data to the access transferring-out module 18, the judgment selection module 19 judges the received data, inputs the data into the corresponding module, transmits the data to the data center system 2 to identify the data, transmits the data to the data center 1 to analyze and judge the data, and accurately positions the accident site through the butt-joint module 43, the accident site is convenient for workers to check the accident site, the reason of the accident occurring for many times is checked, and the checking times are recorded through the history feedback module 47;
step four: when an accident occurs on a certain floor, the elevators on other floors are closed through the floor circuit breaking module 59, the elevator single control module 54 is triggered to be electrically connected with the elevator on the corresponding floor, the lifting speed of the elevator is adjusted through the speed reduction adjusting module 55, the speed of the elevator is reasonably adjusted through the data judging module 56 in a more accident scale, so that the time during evacuation is reduced, the times of evacuating people are increased, the weight borne by the elevator is adjusted through the weight adjusting module 57, more people can be accommodated, the fast escape system 8 is independent through the independent power module 58, the influence of the external environment is reduced without depending on an external power supply, the floor with the accident is sent to the access roll-off module 18 through the floor identifying module 53, and the judgment and selection module 19 is used for judgment and selection, and the relative module of access is transmitted to data center system 2 inside, judges the grade of accident through grade judge module 15, and then transmits to data center 1 and carries out analysis and judgement, again according to specific accident situation, arrives corresponding floor, can also be quick when carrying out the rescue evacuate crowd, efficiency when increasing evacuation.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. The utility model provides a thing networking monitoring system based on wisdom fire control, includes data center (1), its characterized in that: the data center (1) is respectively and electrically provided with a fire protection detection system (8), a fire protection judgment system (6), a history investigation system (5), a rapid escape system (7), a power supply storage module (10) and a data transfer system (2) through leads, the data transfer system (2) collects and transfers data, the data transfer system (2) is respectively provided with a fire protection detection determination module (14), a fire protection judgment determination module (20), a history investigation determination module (21) and a rapid escape determination module (16) through leads, the data transfer system (2) is respectively provided with a classification connection module (9), a connection judgment module (3) and a transfer storage module (4) through leads, the transfer storage module (4) stores transferred data, and the classification connection module (9) performs classification processing on data sent by different systems, the data transfer system (2) is provided with a data repository (12), an identification module (11), a history investigation determination module (21), a fire fighting determination module (20), a rapid escape determination module (16), a fire fighting detection determination module (14), a grade determination module (15) and an access transfer-out module (18) through wires, the access transfer-out module (18) accesses and transfers data, the identification module (11) classifies the transmitted data, the grade determination module (15) performs grade determination on the received data condition, the access transfer-out module (18) is electrically connected with the history investigation determination module (21), the fire fighting determination module (20), the rapid escape determination module (16) and the fire fighting detection determination module (14) through wires, and the fire fighting detection system (7) is provided with a positioning module (32) and a fire fighting detection determination module (14) through wires respectively, The fire fighting detection system comprises a determining module (29), a control module (24), a face recognition module (26), an emotion recognition module (27) and a face focusing module (28), wherein the face recognition module (26) and the emotion recognition module (27) detect emotion changes of a face, and a positioning module 32 positions the fire fighting detection system 7 in relative position in time.
2. The internet of things monitoring system based on intelligent fire fighting of claim 1, characterized in that: the data repository (12) is provided with an automatic backup module (13) through a wire, the automatic backup module (13) automatically backs up received data, the access roll-out module (18) is electrically connected with the protection module (17) and the judgment selection module (19) through wires, and the judgment selection module (19) judges the received data and accesses the inside of a relative system module.
3. The internet of things monitoring system based on intelligent fire fighting of claim 1, characterized in that: control module (24) install position start module (25), camera (33), fire control head (23) and position module (22) respectively through the wire, fire control head (23) pass through wire and position module (22) electric connection, and position module (22) are selected the position of fire control head (23), confirm module (29) and install grade judgment module (30) and standard identification module (31) electric connection through the wire electric property, grade judgment module (30) are judged the data grade of receipt, and compare data through standard identification module (31).
4. The internet of things monitoring system based on intelligent fire fighting of claim 1, characterized in that: fire control decision-making system (6) have crowd evacuation module (40), position identification module (39), snapshot module (35) and categorised module (42) through wire electrical property, and position identification module (39) are confirmed the floor of occurence of failure, and snapshot module (35) take a picture the statistics to crowd when sparse, categorised module (42) have standard rank module (41) through wire electrical connection, and standard rank module (41) carry out the judgement classification of grade to the condition of taking place.
5. The Internet of things monitoring system based on intelligent fire fighting of claim 4, characterized in that: position identification module (39) install signal enhancement module (37) through the wire electrical property, and signal enhancement module (37) increases the intensity of signal, snapshot module (35) installs calculation module (36) through the wire electrical property, and calculation module (36) carries out the judgement of number to the picture of taking a candid photograph, calculation module (36) install quick calculation module (34) and human identification module (38) through the wire electrical property, and quick calculation module (34) increase and take a candid photograph the efficiency that crowd calculated, and human identification module (38) discernment improvement calculation's accuracy to the crowd of fearing grabbing.
6. The Internet of things monitoring system based on intelligent fire fighting of claim 5, characterized in that: the historical investigation system (5) is electrically provided with a historical feedback module (47), an accident triggering module (48), a grade recording module (51), an investigation recording module (49), a butt joint module (43), an accident recording module (44) and a marking module (46) through leads, the accident recording module (44) records the accident, the grade recording module (51) records the grade of the accident, the historical feedback module (47) is electrically connected with the accident triggering module (48) through leads, the accident triggering module (48) starts after the accident reaches a certain number of times, the historical feedback module (47) feeds back the accident condition in time, the grade recording module (51) is electrically provided with a grade scale module (52) and a grade time module (50) through leads, and the grade scale module (52) and the grade time module (50) judge the grade of the accident, the accident recording module (44) is electrically provided with an automatic sequencing module (45) through a lead, and automatically sequences according to the time of the accident.
7. The internet of things monitoring system based on intelligent fire fighting of claim 1, characterized in that: the fast escape system (8) is provided with an independent lighting module (60), a crowd guiding module and a floor recognition module (53) through a wire, the floor recognition module (53) judges the floor where an accident occurs, the independent lighting module (60) plays a role in dredging, the floor recognition module (53) is provided with an elevator single control module (54) and a floor circuit breaking module (59) through the wire, the floor circuit breaking module (59) cuts off the elevators on other floors where no accident occurs, and the elevator single control module (54) controls the elevator on the floor where the accident occurs.
8. The internet of things monitoring system based on intelligent fire fighting of claim 7, characterized in that: the elevator single control module (54) is electrically provided with a speed reduction adjusting module (55), an independent power supply module (58) and a weight adjusting module (57) which are electrically connected through a lead, the speed reduction adjusting module (55) adjusts the speed reduction of the elevator, and the weight adjusting module (57) adjusts the capacity of the elevator.
9. The internet of things monitoring system based on intelligent fire fighting of claim 8, characterized in that: the speed reduction adjusting module (55) is electrically provided with a data judging module (56) through a lead, and the data judging module (56) carries out evacuation adjustment on the lifting speed of the elevator.
10. The detection method of the Internet of things monitoring system based on intelligent fire protection as claimed in claim 1, is characterized by comprising the following specific implementation steps:
the method comprises the following steps: when the face focusing module (28) is used for aligning the face of a person at a relative position when the face focusing module (33) works in a working area, when an accident occurs, the worker can feel the accident in advance and can cause the emotion change of the face of the person, the emotion recognition module (27) is used for capturing, when the emotion reaches the emotion change standard stored in the standard recognition module (31), the accident condition is judged by the grade judgment module (30), the position where the accident occurs is positioned by the positioning module (32) and is transmitted to the access transfer-out module (18) for classification, when the emotion reaches the emotion change standard stored in the standard recognition module (31), the situation is judged by the judgment selection module (19), the data is transmitted to the data center system (2) by the fire detection determination module (14), and the data is analyzed and judged by the data repository (12) in the data center system (2), the fire fighting materials are sprayed to the accident site in a medium-grade and high-grade manner, after the fire fighting head (23) at the relative position is started, different numbers of fire fighters and fire fighting equipment are dispatched according to the specific accident situation, the fire fighters can quickly arrive at the accident site through the positioning module (32), and the accident prediction efficiency is improved and the accident occurrence range is reduced through the classification processing and transmission of the accident prediction and the data of the staff;
step two: when an accident occurs in a certain place, evacuated people can be quickly snapshotted through a snapshotting module (35) in a fire fighting judgment system (6), the number of the snapshotted people is quickly calculated through a calculation module (36) and a quick calculation module (34), the accuracy of the calculation of the people is improved through a human body identification module (38), a position identification module (39) is triggered to position the place where the accident occurs, data is transmitted to an access transfer-out module (18), the input data is judged through a judgment selection module (19) and is transmitted to the corresponding module, the data is transmitted to a data center system (2), the data is stored through a grade judgment module (15) and a data repository (12), the data is transmitted to a data center (1), and according to the data in the center system (1), the accident situation is judged, so that the number of firefighters and the fire fighting mode are selected, and the number of people in the accident site can be intuitively known through the snapshot module (35) and the calculation module (36), and the relative fire fighting mode is performed;
step three: when an accident occurs, a history investigation system (5) is started, the accident recording module (44) is used for automatically recording the occurred accident, the marking module (46) is used for marking the data collected by the accident while recording, later-stage searching is facilitated, the grade recording module (51) is used for recording the grade of the accident, the grade time module (50) and the grade scale module (52) are used for recording the scale of the accident and the time of the accident, when the occurred accident reaches a certain number of times, the accident triggering module (48) is triggered, the data is transmitted to the access transferring-out module (18), the judgment selection module (19) is used for judging the received data, the data is input into the corresponding module and is transmitted to the data center system (2) for identifying the data, and then the data is transmitted to the data center (1) for analyzing and judging the data, the accident site is accurately positioned through the butt joint module (43), so that workers can conveniently check the accident site, check the reasons of multiple accidents, and record the checking times through the history feedback module (47);
step four: when an accident happens to a certain floor, the elevators on other floors are closed through the floor circuit-breaking module (59), the elevator single control module (54) is triggered to be electrically connected with the elevator on the opposite floor, the lifting speed of the elevator is adjusted through the speed-reducing adjusting module (55), the speed of the elevator is reasonably adjusted through the data judging module (56) according to the scale of the accident, so that the time during evacuation is reduced, the times of evacuating personnel are increased, the weight borne by the elevator is adjusted through the weight adjusting module (57), more personnel can be accommodated, the quick escape system (8) is independent through the independent power module (58), the influence of the external environment is reduced without depending on an external power supply, and the floor with the accident is sent to the access transferring-out module (18) through the floor identification module (53), the module is selected through judging the selection module (19), and inserts inside relative module transmits data center system (2), judges the grade of accident through grade judge module (15), retransmits to data center (1) and carries out analysis and judgment, arrives corresponding floor according to specific accident situation again, can also be quick when carrying out the rescue evacuate the crowd, efficiency when increasing evacuation.
CN202110486800.9A 2021-05-02 2021-05-02 Internet of things monitoring system based on intelligent fire fighting and monitoring method thereof Pending CN113191275A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110486800.9A CN113191275A (en) 2021-05-02 2021-05-02 Internet of things monitoring system based on intelligent fire fighting and monitoring method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110486800.9A CN113191275A (en) 2021-05-02 2021-05-02 Internet of things monitoring system based on intelligent fire fighting and monitoring method thereof

Publications (1)

Publication Number Publication Date
CN113191275A true CN113191275A (en) 2021-07-30

Family

ID=76983657

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110486800.9A Pending CN113191275A (en) 2021-05-02 2021-05-02 Internet of things monitoring system based on intelligent fire fighting and monitoring method thereof

Country Status (1)

Country Link
CN (1) CN113191275A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102674106A (en) * 2012-05-29 2012-09-19 公安部上海消防研究所 Dynamic early warning data acquisition device applied to emergency evacuation of high-rise elevator
CN105129563A (en) * 2015-08-03 2015-12-09 公安部上海消防研究所 Elevator evacuation dynamic warning supporting system applied to high-rise building fire
CN108734912A (en) * 2018-04-27 2018-11-02 成都晓理物联科技有限公司 Wisdom fire-fighting based on Internet of Things manages cloud platform system
CN111127830A (en) * 2018-11-01 2020-05-08 奇酷互联网络科技(深圳)有限公司 Alarm method, alarm system and readable storage medium based on monitoring equipment
CN112044006A (en) * 2020-08-28 2020-12-08 深圳市富思源智慧消防股份有限公司 Monitoring fire-fighting system for building

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102674106A (en) * 2012-05-29 2012-09-19 公安部上海消防研究所 Dynamic early warning data acquisition device applied to emergency evacuation of high-rise elevator
CN105129563A (en) * 2015-08-03 2015-12-09 公安部上海消防研究所 Elevator evacuation dynamic warning supporting system applied to high-rise building fire
CN108734912A (en) * 2018-04-27 2018-11-02 成都晓理物联科技有限公司 Wisdom fire-fighting based on Internet of Things manages cloud platform system
CN111127830A (en) * 2018-11-01 2020-05-08 奇酷互联网络科技(深圳)有限公司 Alarm method, alarm system and readable storage medium based on monitoring equipment
CN112044006A (en) * 2020-08-28 2020-12-08 深圳市富思源智慧消防股份有限公司 Monitoring fire-fighting system for building

Similar Documents

Publication Publication Date Title
CN111888686B (en) Double-hook safety belt and safety management system
CN211427461U (en) Intelligent fire-fighting linkage system
CN106006276B (en) A kind of building intelligent lift management system
CN111888685B (en) Single-hook safety belt and safety management system
CN105540377A (en) Internet of things remote elevator monitoring system with human face matching function
CN113936239A (en) Intelligent fire fighting condition identification method and system based on neural network algorithm
CN110689689A (en) Online wisdom supervisory systems of social unit fire control room
CN111210588A (en) Intelligent fire-fighting linkage system
CN113542690B (en) Building construction safety monitoring system and method
CN109693983B (en) Elevator fault processing method, device, server, storage medium and system
CN110989594A (en) Intelligent robot inspection system and method
CN110155845B (en) Elevator remote control system capable of monitoring faults and disasters simultaneously
CN106774023A (en) Remote cabinet visual intelligent real-time monitoring system
KR102230118B1 (en) Elevator monitoring system for customer safety based on Internet of Things, and monitoring method thereof
CN107879216A (en) A kind of elevator faults close people's logic judgment and automatic help system and method
CN113682919B (en) Intelligent repair elevator based on Internet of things
CN112027841A (en) Elevator system
CN210743124U (en) Online wisdom supervisory systems of social unit fire control room
CN113191275A (en) Internet of things monitoring system based on intelligent fire fighting and monitoring method thereof
CN114028756A (en) Intelligent fire fighting system and method based on Internet of things technology
CN105460725A (en) Lift door state monitor and fault judging method thereof
CN114681854A (en) Wisdom fire extinguishing system based on intelligent control
CN112408140A (en) System and method applied to elevator control reminding and fault diagnosis
CN207258939U (en) A kind of oppressive automatic detecting system of elevator carriage
CN108285073A (en) A kind of elevator maintenance device

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20210730

RJ01 Rejection of invention patent application after publication