CN110689709A - General intelligent fire-fighting host information processing system and method - Google Patents

General intelligent fire-fighting host information processing system and method Download PDF

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Publication number
CN110689709A
CN110689709A CN201911015077.5A CN201911015077A CN110689709A CN 110689709 A CN110689709 A CN 110689709A CN 201911015077 A CN201911015077 A CN 201911015077A CN 110689709 A CN110689709 A CN 110689709A
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China
Prior art keywords
fire
warning information
processing module
early warning
fighting host
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Pending
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CN201911015077.5A
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Chinese (zh)
Inventor
傅程宏
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Zhuhai Zhilian Fire Technology Co Ltd
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Zhuhai Zhilian Fire Technology Co Ltd
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Priority to CN201911015077.5A priority Critical patent/CN110689709A/en
Publication of CN110689709A publication Critical patent/CN110689709A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/08Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/10Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems

Abstract

The invention provides a general intelligent fire-fighting host information processing system and method, which are compatible with various fire-fighting hosts to obtain alarm information and inform corresponding fire-fighting safety responsible persons, and the system comprises: the camera is used for acquiring an early warning information image on a display screen of the fire-fighting host; the processing module is connected with the camera to acquire the early warning information image, and a neural network is preset to identify warning information contained in the early warning information image; and the wireless communication module is controlled by the processing module to send the acquired warning information to a preset application terminal. Aiming a camera at a display screen of a fire-fighting host, capturing early warning information on the display screen of the fire-fighting host and uploading an early warning information image to a processing module; the processing module processes the early warning information image, extracts screen characters, and analyzes and processes the screen characters; the processing module converts the text content with the warning information into a warning instruction and sends the warning instruction to the application terminal through the wireless communication module.

Description

General intelligent fire-fighting host information processing system and method
Technical Field
The invention belongs to the fire safety control technology, and particularly relates to a general intelligent fire host information processing system and method.
Background
The traditional urban fire-fighting remote monitoring technology plays an important role in social fire-fighting safety management work, but with the increasing health of national fire-fighting laws and regulations and the increasing change of fire-fighting technologies, a new higher requirement 'intelligent fire-fighting' is provided for the existing urban fire-fighting remote monitoring construction, and great expectations are brought to numerous companies and related industries engaged in the intelligent fire-fighting industry.
The operation of an internet of things platform based on the internet of things and intelligent fire fighting becomes a basic path for industry development, but a mature internet of things technology is required to be applied to transmit huge fire fighting monitoring information to a cloud end, and the purposes of remote supervision and service are achieved through information analysis, study and judgment, program response, fire treatment and information sharing. The fire fighting monitoring system is closely combined with the fire fighting management work requirement under a new situation, the existing monitoring technology system is further upgraded and reformed, and a series of problems of single function, high equipment false alarm rate, high operation and maintenance cost and the like of the traditional fire fighting monitoring are solved through a modern sensing technology means; however, many fire-fighting systems are not open to the outside at present, and the prior art needs to be docked with the original fire-fighting system manufacturer to complete the related linkage operation, which forms an obstacle to the innovation of the technology.
Disclosure of Invention
Based on the requirements mentioned in the background technology, the invention provides a general intelligent fire-fighting host information processing system and method, which are compatible with various fire-fighting hosts to acquire alarm information and inform corresponding fire-fighting safety responsible persons, and the specific technical contents are as follows:
a general intelligent fire-fighting host information processing system is characterized by comprising:
the camera is used for acquiring an early warning information image on a display screen of the fire-fighting host;
the processing module is connected with the camera to acquire the early warning information image, and a neural network is preset to identify warning information contained in the early warning information image; and
and the wireless communication module is controlled by the processing module to send the acquired warning information to a preset application terminal.
In one or more embodiments of the present invention, the application terminal further includes a deep learning module, the deep learning module is connected to the processing module and performs bidirectional information transmission, and the application terminal returns processing information to the processing module through the wireless communication module.
In one or more embodiments of the present invention, there are several application terminals.
In one or more embodiments of the present invention, the camera is an infrared camera.
A general intelligent fire-fighting host information processing method comprises the following steps:
A. aiming the camera at a display screen of a fire-fighting host, and capturing early warning information on the display screen of the fire-fighting host;
B. the camera uploads the captured early warning information image to the processing module;
C. the processing module processes the early warning information image through a neural network and extracts screen characters;
D. the processing module analyzes and processes the extracted screen characters;
E. the processing module converts the text content with the warning information into a warning instruction and sends the warning instruction to the application terminal through the wireless communication module.
In one or more embodiments of the present invention, the camera is an infrared camera, in steps a and B, the camera determines whether the display screen of the fire-fighting host has the warning information through an optical flow capturing technology, and if the camera determines that the warning information exists, the camera performs shooting to upload a warning information image to the processing module.
In one or more embodiments of the present invention, the processing module performs picture analysis through a neural network, and performs text extraction on text portions in the warning information image through an optical character recognition technology.
In one or more embodiments of the present invention, the method further includes step F, where the application terminal returns the alert processing result to the processing module through the wireless communication module.
In one or more embodiments of the present invention, the application terminals have a plurality of terminals, and can synchronously receive the alert instruction sent by the wireless communication module.
In one or more embodiments of the present invention, one of the application terminals returns the processing result to the processing module through the wireless communication module, and the processing module does not send the same alert instruction to the wireless communication module after receiving the processing result instruction.
The invention has the beneficial effects that: the camera is used as an interface, so that all existing fire fighting hosts can be matched, the original fire fighting host equipment does not need to be modified, or the trouble that the fire fighting equipment manufacturer must obtain authorization to carry out butt joint can be solved, the fire fighting system is upgraded and modified on the original basis, and the cost is greatly reduced; in addition, a remote alarm mechanism and a reporting mechanism are arranged, the logistics processing personnel who patrol outside can find and process the alarm condition in time, the influence of the alarm condition is minimized, the system can greatly improve the time utilization rate of the logistics personnel, standby is not needed in front of the fire host at any time, the alarm condition can be processed while patrol, the management efficiency of the property personnel is improved, and the cost of the logistics personnel is reduced. The utility model provides a general intelligent fire engine information processing system need not to carry out the transformation or the communication interface butt joint of task to the fire engine, is suitable for any brand fire engine, can also carry out deep learning, constantly promotes discernment precision, rate of accuracy, and this technical solution is the trade initiative, has in addition and uses simply, characteristics with low costs, can extensively use in the fire industry.
Drawings
FIG. 1 is a schematic block diagram of a general intelligent fire fighting host information processing system of the present invention.
Detailed Description
The scheme of the present application is further described below with reference to fig. 1:
a general intelligent fire-fighting host information processing system, comprising:
the infrared camera 1 is used for acquiring an early warning information image on a display screen of the fire fighting host 2;
the processing module 3 is connected with the infrared camera 1 to acquire the early warning information image, and a neural network is preset to identify warning information contained in the early warning information image; and
the wireless communication module 4 is controlled by the processing module 3 to send the acquired warning information to a preset application terminal 5, such as a mobile phone, a tablet computer and the like; a plurality of the application terminals 5 (51, 52.. 5 n); also comprises
The deep learning module 6 is connected with the processing module 3 and performs bidirectional information transmission, the deep learning module 6 receives the early warning information image and the warning information uploaded by the processing module 3, and the application terminal 5 returns the processing information to the processing module 3 through the wireless communication module 4.
The fire-fighting host 2 is connected with and controls a plurality of terminal monitoring devices 7 to obtain field monitoring data, an alarm recognition model is preset in the fire-fighting host, and the alarm recognition model processes the input field monitoring data to generate corresponding early warning information; the terminal monitoring equipment 7 is used for acquiring field monitoring data, and comprises a camera, a radio microphone, a temperature sensor, a gas concentration sensor and the like, wherein the field monitoring data comprises video data, audio data, temperature data or gas concentration data.
A general intelligent fire-fighting host information processing method comprises the following steps:
A. aligning the infrared camera 1 to a display screen of the fire fighting host 2, and capturing early warning information on the display screen of the fire fighting host 2;
B. the infrared camera 1 uploads the captured early warning information image to the processing module 2;
C. the processing module 3 processes the early warning information image through a neural network and extracts screen characters;
D. the processing module 4 analyzes and processes the extracted screen characters;
E. the processing module 5 converts the text content with the warning information into a warning instruction, and sends the warning instruction to the application terminal through the wireless communication module 4.
And further optimizing, the infrared camera 1 judges whether the display screen of the fire fighting host 2 has early warning information or not through an optical flow capturing technology, and if the infrared camera 1 judges that the early warning information exists, shooting is carried out to upload an early warning information image to the processing module. The processing module 3 performs picture analysis through a neural network, and performs character extraction on character parts in the early warning information picture through an optical character recognition technology.
And step F, the application terminal 5 returns the alarm processing result to the processing module 3 through the wireless communication module 4. Furthermore, the application terminal 5 has a plurality of (51, 52.. 5 n) and can synchronously receive the warning instruction sent by the wireless communication module. One of the application terminals returns a processing result to the processing module 3 through the wireless communication module 4, and after receiving the processing result instruction, the processing module 3 does not send the same warning instruction to the wireless communication module 4 any more.
After the alarm information is displayed on the display screen of the fire-fighting host 2, if the XX cell is used, the 503 room is used, the temperature sensor and the gas concentration sensor are abnormal, the infrared camera 1 shoots the early warning information on the display screen of the fire-fighting host 2, the processing module 3 extracts characters from character parts in an early warning information image, an extracted result is formed into an early warning instruction which is sent to the application terminal 5 through the wireless communication terminal 4, the XX cell, the 503 room, the temperature sensor and the gas concentration sensor are abnormal on the application terminal 5, and if the characters and the images are displayed to a processing person, the processing person can rush to the scene to perform alarm processing according to the alarm information displayed by the application terminal 5. In order to further ensure that the alarm can be processed in time, the application terminals 5 have a plurality of ((51, 52.. 5 n)) and can synchronously receive the alarm instruction sent by the wireless communication module 4. When a processing person of the application terminal 51 receives the warning instruction, a processing button is clicked on the application terminal 51, the processing information can be returned to the processing module 3 through the wireless communication module 4, the processing module 3 does not send the same warning instruction to the wireless communication module 4 after receiving the processing information instruction, and thus the application terminal 5 cannot receive the warning information, so that the situation that the processing persons of other application terminals are all hurled to the site and too much manpower is wasted is avoided, the time can be reasonably distributed by the logistics processing person, the management efficiency of the person is improved, and meanwhile, the problem that a larger accident is caused because individual processing person cannot find the warning instruction in time and cannot process the warning instruction in time is effectively reduced. The application terminal 5 is further provided with a reporting mechanism, when a processing person of the first application terminal 51 arrives at an alarm scene, the actual situation can be reported to the processing module 3 through the first application terminal 51, if the fire has been processed, the temperature sensor and the gas concentration sensor are abnormal and belong to equipment abnormality and have no actual alarm, and no abnormality exists in the scene and belong to false alarm, etc., and after the processing result is reported to the processing module 3, the deep learning module 6 can collate the returned processing information with the early warning information image and the text content of the alarm information uploaded in the earlier stage, and continuously correct the processing precision, speed and accuracy of the processing module 3. Of course, the processing module 3 may return the final processing result of the first application terminal 51 to each application terminal 5, so that each processing person can know the alarm condition in time.
In practical application, the infrared camera 1 is installed at the client, other components (except the application terminal 5) are arranged on the remote server, so that the remote server can be controlled to be connected with a plurality of fire-fighting hosts 2 only through one remote server, centralized management can be performed, the improvement cost is low, and the efficiency is high.
This application is around the intelligent product research and development that carries on in fire control field, and to there being many of old fire engine brand now, the former owner changes intelligent fire engine with high costs, has a lot of various fire engine signal modules on the existing market, though it is general, but to old fire engine equipment, can only report to the police, but can't fix a position the position of taking place the fire alarm, and actual meaning is not big. Aiming at the old fire-fighting host, the AI technology is adopted, the fire-fighting host can be accurately monitored, the task modification or the communication interface butt joint of the fire-fighting host is not needed, and the method is suitable for any brand fire-fighting host. The AI intelligent fire-fighting host machine can create an AI fire-fighting host machine adaptation technology capable of fast learning by using the monitoring system, the technical solution is the initial industrial creation, and the system has the characteristics of simple application and low cost, and can be widely applied to the fire-fighting industry.
This application needs a large amount of fire engine samples as the material of AI basic study, because the brand of fire engine is numerous, and the field application environment is complicated, my important stockman serves many years in the pearl oceanic fire control field, accomplish and exceed 60 large-scale fire works, accumulative total dimension guarantor customer exceeds 160, the customer includes the great bridge limit of hong Kong and Australia and examines the building, well petrochemical industry, the china oil, pearl oceanic kingdom, hong Kong half mountain one number, the violence country trade building, the violence base, the violence hotel that violently arrives charm in the north arch, etc..
This application is AIT intelligence fire engine early warning product, can monitor any brand fire engine on the market, through modes such as cell-phone APP, SMS, when the fire engine sends the early warning, notifies all staff, the influence that effectual reduction conflagration brought.
The above preferred embodiments should be considered as examples of the embodiments of the present application, and technical deductions, substitutions, improvements and the like similar to, similar to or based on the embodiments of the present application should be considered as the protection scope of the present patent.

Claims (10)

1. A general intelligent fire-fighting host information processing system is characterized by comprising:
the camera is used for acquiring an early warning information image on a display screen of the fire-fighting host;
the processing module is connected with the camera to acquire the early warning information image, and a neural network is preset to identify warning information contained in the early warning information image; and
and the wireless communication module is controlled by the processing module to send the acquired warning information to a preset application terminal.
2. The general intelligent fire-fighting host information processing system according to claim 1, characterized in that: the application terminal is connected with the processing module and carries out bidirectional information transmission, and the application terminal returns processing information to the processing module through the wireless communication module.
3. The general intelligent fire-fighting host information processing system according to any one of claims 1-2, characterized in that: the number of the application terminals is several.
4. The general intelligent fire-fighting host information processing system according to any one of claims 1-2, characterized in that: the camera is an infrared camera.
5. A general intelligent fire-fighting host information processing method is characterized by comprising the following steps:
A. aiming the camera at a display screen of a fire-fighting host, and capturing early warning information on the display screen of the fire-fighting host;
B. the camera uploads the captured early warning information image to the processing module;
C. the processing module processes the early warning information image through a neural network and extracts screen characters;
D. the processing module analyzes and processes the extracted screen characters;
E. the processing module converts the text content with the warning information into a warning instruction and sends the warning instruction to the application terminal through the wireless communication module.
6. The general intelligent fire-fighting host information processing method according to claim 5, characterized in that: the camera adopts infrared camera, and in step A and B, the camera passes through light stream capture technique and judges whether fire control host computer display screen has early warning information, if the camera judges that there is early warning information, then shoots and reaches early warning information image upload to processing module.
7. The general intelligent fire-fighting host information processing method according to claim 6, characterized in that: the processing module performs picture analysis through a neural network and performs character extraction on character parts in the early warning information image through an optical character recognition technology.
8. The general intelligent fire-fighting host information processing method according to claim 7, characterized in that: and F, the application terminal returns the alarm processing result to the processing module through the wireless communication module.
9. The general intelligent fire-fighting host information processing method according to claim 8, characterized in that: the application terminals are provided with a plurality of application terminals and can synchronously receive the warning instructions sent by the wireless communication module.
10. The general intelligent fire-fighting host information processing method according to claim 9, characterized in that: and one of the application terminals returns a processing result to the processing module through the wireless communication module, and the processing module does not send the same warning instruction to the wireless communication module after receiving the processing result instruction.
CN201911015077.5A 2019-10-24 2019-10-24 General intelligent fire-fighting host information processing system and method Pending CN110689709A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111444882A (en) * 2020-04-16 2020-07-24 无锡市疾病预防控制中心 Instrument state monitoring method, device and system
CN111643847A (en) * 2020-02-27 2020-09-11 山东雷火网络科技有限公司 Fire-fighting linkage control system and method in Shandong based on artificial intelligence construction
CN117649212A (en) * 2024-01-30 2024-03-05 陕西跃途警用装备制造有限公司 Public security and control integrated management cloud platform based on big data analysis
CN117649212B (en) * 2024-01-30 2024-04-26 陕西跃途警用装备制造有限公司 Public security and control integrated management cloud platform based on big data analysis

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111643847A (en) * 2020-02-27 2020-09-11 山东雷火网络科技有限公司 Fire-fighting linkage control system and method in Shandong based on artificial intelligence construction
CN111444882A (en) * 2020-04-16 2020-07-24 无锡市疾病预防控制中心 Instrument state monitoring method, device and system
CN117649212A (en) * 2024-01-30 2024-03-05 陕西跃途警用装备制造有限公司 Public security and control integrated management cloud platform based on big data analysis
CN117649212B (en) * 2024-01-30 2024-04-26 陕西跃途警用装备制造有限公司 Public security and control integrated management cloud platform based on big data analysis

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