CN110298605A - A kind of wisdom fire-fighting security decision method and system based on Internet of Things - Google Patents
A kind of wisdom fire-fighting security decision method and system based on Internet of Things Download PDFInfo
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Abstract
The wisdom fire-fighting security decision system based on Internet of Things that the present invention provides a kind of, comprising: data acquisition module, for obtaining the monitoring data of wisdom fire-fighting supervisory systems in real time.Data analysis module, for judging whether the wisdom fire-fighting supervisory systems abnormal conditions occurs according to the monitoring data.Generation module then generates corresponding security decision suggestion and warning message according to the monitoring data for judging that abnormal conditions occurs in the wisdom fire-fighting supervisory systems when the data analysis module.Data transmission module, for suggesting the security decision and warning message is transmitted to designated terminal.The wisdom fire-fighting security decision method based on Internet of Things that the present invention also provides a kind of, compared with prior art, the present invention can be according to the monitoring data of wisdom fire-fighting supervisory systems, corresponding security decision suggestion and warning message are generated, to improve the efficiency and effect of fire-fighting and rescue or fire-fighting responsible party processing accident.
Description
Technical field
The present invention relates to the technical fields of intelligence wisdom fire-fighting more particularly to a kind of wisdom fire-fighting based on Internet of Things to determine safely
Plan method and system.
Background technique
With the development of the new techniques such as Internet of Things, big data, cloud computing, existing technology can no longer meet day increasingly
The fire-fighting of exhibition digitizes demand, so that " wisdom fire-fighting " comes into being.Wherein, wisdom fire-fighting mainly passes through cloud computing, big data
It is realized with technologies such as Internet of Things, brings new pattern for the work of fire-fighting digital information.
Wisdom fire-fighting in the prior art is all just for the detection of traditional fire fighting device equipment and long-range control, not only
In fire-fighting responsibility, this level does not go Fire Escape to fulfill, and the benefit to the data information real-time monitored
With being also only used only to notify person liable and relevant operational staff, there is no using intelligent algorithm technology to these
Information is analyzed, and the service in decision is provided to person liable by way of wisdom, so as to cause fire-fighting and rescue or fire-fighting
The efficiency that responsible party handles accident is relatively low.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of wisdom fire-fighting security decision method and system based on Internet of Things, energy
Enough monitoring data according to wisdom fire-fighting supervisory systems, generate corresponding security decision suggestion and warning message, to improve
Fire-fighting and rescue or fire-fighting responsible party handle the efficiency and effect of accident.
In order to achieve the above object, the present invention proposes a kind of wisdom fire-fighting security decision method based on Internet of Things, including
Following steps:
S110: the monitoring data of wisdom fire-fighting supervisory systems are obtained in real time；
S120: according to the monitoring data, judge whether the wisdom fire-fighting supervisory systems abnormal conditions occurs；If it is not,
Then return step S110；If so, being transferred to step S130；
S130: corresponding security decision suggestion and warning message are generated according to the monitoring data；
S140: the security decision is suggested and warning message is transmitted to designated terminal.
Preferably, the wisdom fire-fighting supervisory systems includes subsystem below: wisdom fire-fighting alarm system, wisdom fire-fighting
Hydraulic pressure detection system, wisdom fire-fighting safety utilization of electric power management system, wisdom evacuation indication system, wisdom fire-fighting facility inspection management system
System, wisdom fire-fighting water-leakage detecting system.
Preferably, the process of the step S120 are as follows:
The monitoring data of subsystem each in wisdom fire-fighting supervisory systems and preset benchmark monitoring data range are carried out
It compares；
When the monitoring data are within the scope of the preset benchmark monitoring data, then defining judging result is the intelligence
There are not abnormal conditions in intelligent firefighting supervision system；
When the monitoring data are not within the scope of the preset benchmark monitoring data, then defining judging result is the intelligence
There are abnormal conditions in intelligent firefighting supervision system.
Preferably, the step S130 process specifically includes the following steps:
S131: according to the monitoring data, the subsystem for abnormal conditions occur is got；
S132: it is found in the mapping relations library of preset monitoring data range-exception level of the subsystem described
The corresponding exception level of monitoring data；
S133: there is the subsystem of abnormal conditions and the exception level according to described, generate corresponding security decision
It is recommended that and warning message.
Preferably, after the step S140 further include:
S150: it records and stores when abnormal exception information occurs in secondary wisdom fire-fighting supervisory systems.
In order to achieve the above object, the wisdom fire-fighting security decision system based on Internet of Things that the present invention also provides a kind of,
Include:
Data acquisition module, for obtaining the monitoring data of wisdom fire-fighting supervisory systems in real time；
Data analysis module, for it is different to judge whether the wisdom fire-fighting supervisory systems occurs according to the monitoring data
Reason condition；
Generation module, for judging that abnormal conditions occurs in the wisdom fire-fighting supervisory systems when the data analysis module,
Then corresponding security decision suggestion and warning message are generated according to the monitoring data；
Data transmission module, for suggesting the security decision and warning message is transmitted to designated terminal.
Preferably, the wisdom fire-fighting supervisory systems includes subsystem below: wisdom fire-fighting alarm system, wisdom fire-fighting
Hydraulic pressure detection system, wisdom fire-fighting safety utilization of electric power management system, wisdom evacuation indication system, wisdom fire-fighting facility inspection management system
System, wisdom fire-fighting water-leakage detecting system.
Preferably, the data analysis module includes:
Comparing unit, for by the monitoring data of subsystem each in wisdom fire-fighting supervisory systems and preset benchmark
Monitoring data range is compared；
Definition unit, for being within the scope of the preset benchmark monitoring data when the monitoring data, then definition is sentenced
Disconnected result is that the wisdom fire-fighting supervisory systems abnormal conditions does not occur；When the monitoring data are not in the preset benchmark
Within the scope of monitoring data, then defining judging result is that the wisdom fire-fighting supervisory systems abnormal conditions occurs.
Preferably, the generation module includes:
Data capture unit, for getting the subsystem for abnormal conditions occur according to the monitoring data；
Data searching unit, the mapping relations library for preset monitoring data range-exception level in the subsystem
In find the corresponding exception level of the monitoring data；
Generation unit generates corresponding for there is the subsystem of abnormal conditions and the exception level according to described
Security decision suggestion and warning message.
Preferably, the wisdom fire-fighting security decision system based on Internet of Things, further includes:
Data memory module, for recording and storing when abnormal exception information occurs in secondary wisdom fire-fighting supervisory systems.
Compared with prior art, the beneficial effects of the present invention are: can according to wisdom fire-fighting supervisory systems generate it is big
Amount monitoring data are integrated related data using big data processing technique and intelligent algorithm, are handled, are processed, are analyzed, thus
Corresponding security decision suggestion is generated, realizes that improving fire-fighting and rescue or fire-fighting responsible party handles the efficiency of accident and the mesh of effect
's.
Detailed description of the invention
Fig. 1 is the flow diagram of the wisdom fire-fighting security decision embodiment of the method one of the invention based on Internet of Things；
Fig. 2 is the subdivision of step S130 in the wisdom fire-fighting security decision embodiment of the method one of the invention based on Internet of Things
Steps flow chart schematic diagram；
Fig. 3 is the flow diagram of the wisdom fire-fighting security decision embodiment of the method two of the invention based on Internet of Things；
Fig. 4 is that the program module of the wisdom fire-fighting security decision system embodiment one of the invention based on Internet of Things is illustrated
Figure；
Fig. 5 is wisdom fire-fighting supervision system in the wisdom fire-fighting security decision system embodiment one of the invention based on Internet of Things
The subsystem program module diagram of system；
Fig. 6 is that the program module of the wisdom fire-fighting security decision system embodiment two of the invention based on Internet of Things is illustrated
Figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description.It should be appreciated that specific embodiment described herein is used only for explaining the present invention, it is not used to limit this hair
It is bright.
The wisdom fire-fighting security decision method based on Internet of Things that the present invention provides a kind of.It is the present invention referring to Fig. 1, Fig. 1
The wisdom fire-fighting security decision embodiment of the method one based on Internet of Things flow diagram.In example 1, described to be based on
The wisdom fire-fighting security decision method of Internet of Things, comprising the following steps:
S110: the monitoring data of wisdom fire-fighting supervisory systems are obtained in real time.
In the present embodiment, the wisdom fire-fighting supervisory systems in the step S110 includes subsystem below: wisdom fire-fighting
Alarm system, wisdom fire-fighting hydraulic pressure detection system, wisdom fire-fighting safety utilization of electric power management system, wisdom evacuation indication system, wisdom
Fire fighting device inspection management system, wisdom fire-fighting water-leakage detecting system.
Wherein, the monitoring data of the wisdom fire-fighting alarm system are the fire protection warning information of each region building, existing
Have in technology since building builds the inconsistent of age, leads to the fire alarm host machine brand of various years in the same area
All inconsistent with model, so needing many duty rooms, a large amount of operator on duty results in the complexity of management.The long member of this project
Disappearing in chain cloud controls integrated system and provides the method solved these problems, and has realized.The wisdom fire-fighting alarm system is logical
The monitoring function and Internet of Things function of crossing GIS map formula can rapidly and accurately get the alarm signal of each region building
Breath.
Wherein, the monitoring data of the wisdom fire-fighting hydraulic pressure detection system are the hydraulic pressure of fire hydrant in the building of each region
Water level information usually obtains the hydraulic pressure water level information using the water level sensor monitoring being set in fire hydrant.The intelligence
Intelligent fire fighting hydraulic pressure detection system can rapidly and accurately be got each by the monitoring function and Internet of Things function of GIS map formula
The hydraulic pressure water level information of region building.Such as: when having fire generation in the relatively high place of floor, sometimes due to water
Pressure or water level problem, cause not to be able to satisfy fire extinguishing demand, firefighter can not predict these information directly or in advance.When there is fire
The occurrence of, knowing the water pressures in fire hydrant in advance just becomes particularly significant, can reduce the decision-making time.
Wherein, the monitoring data of the wisdom fire-fighting safety utilization of electric power management system are fire hydrant in the building of each region
Whether circuit information, i.e. circuit there are the multidate informations such as leakage current, temperature, overcurrent, over-voltage.The wisdom fire-fighting safety utilization of electric power pipe
Reason system can rapidly and accurately get each region building by the monitoring function and Internet of Things function of GIS map formula
Circuit information.By checking electric information conditional curve, help to analyze the original that the false alarm of electric fire monitoring system generates
Cause, and then false alarm is reduced, avoid caused fear and loss etc..
Wherein, the monitoring data of the wisdom evacuation indication system are that the fire-fighting evacuation in public place indicates information, it
GIS-Geographic Information System is combined with Database Systems, by the principle far from fire point evacuation, automatically in the electronics of control centre
Ignition point is shown on map, and by various forms of warning notes such as sending sound, light, image, texts, people is instructed to select
Correct escape route.Round-the-clock unremitting real-time inspection is implemented to all emergency indicator lights and headlamp, and at first
Between position and the operating condition of trouble light are prompted and shown in a manner of sound-light alarm.Emergency exit indicating lamp meet an urgent need when, increase flashing and
Auditory tone cues, such as " being extra exit here ", in case escape personnel misses outlet delay escape opportunity.Determining fire point position
Afterwards, system assigns instruction immediately, makes all emergency evacuation induced lights according to reasonable escape logic adjustment instruction direction, principle
Are as follows: far from fire point evacuation.The wisdom evacuation indication system can be fast by the monitoring function and Internet of Things function of GIS map formula
Speed is accurately obtained the instruction information of the fire-fighting evacuation in public place.
Wherein, the monitoring data of the wisdom fire-fighting facility inspection management system are fire fighting device in the building of each region
Information, building fire protection facility are broadly divided into two major classes, and one kind is fire extinguishing system, and another kind of is safe evacuation system.By in building
Fire protection control room operate control, maintenance, so that building fire protection facility is in intact effective state always, guarantee building
The security against fire of object.Current maintenance, the mode that the mode for managing building is account, the paper of typically one record, which is attached to, to go out
On fiery facility, personnel inspection one time with regard to signature plus the date.Such operation has the unreachable position of patrolman, and unfavorable
In the management of facility.The wisdom fire-fighting facility inspection management system passes through the monitoring function and Internet of Things function of GIS map formula
The fire fighting device information of each region building can rapidly and accurately be got.
Wherein, the monitoring data of the wisdom fire-fighting water-leakage detecting system are the leakage of fire hydrant in the building of each region
The advantages of information, wisdom fire-fighting water-leakage detecting system combines discharge method and negative pressure wave method, is leaked using flow equilibrium method
Judgement, alarms to the leakage situation of pipeline, and first and last station pressure change is combined to carry out operating mode's switch, reduces wrong report, utilizes
Suction wave carries out leak source positioning.What flow equilibrium method sentenced leakage principle is to utilize in the pipeline not leaked at one and " flow into and be equal to stream
Principle out " measures the flow of pipe outlet and entrance in real time, when the big Mr. Yu's threshold values of entrance difference in flow, judges in pipeline
There may be leakages.The principle that suction wave carries out leak source positioning is incited somebody to action at leakage when somewhere leaks suddenly on pipeline
Transient pressure bust is generated, this negative pressure fluctuation is propagated with certain speed from leakage point to both ends, upstream and downstream pressure sensor
The waveform for capturing specific transient pressure drop, leak source position can be positioned by carrying out data analysis by software.The wisdom fire-fighting leakage
Water detection system can rapidly and accurately get each region building by the monitoring function and Internet of Things function of GIS map formula
The leakage information of fire hydrant in object.
S120: according to the monitoring data, judge whether the wisdom fire-fighting supervisory systems abnormal conditions occurs；If it is not,
Then return step S110；If so, being transferred to step S130.
In the present embodiment, the process of the step S120 are as follows: by the monitoring of subsystem each in wisdom fire-fighting supervisory systems
Data are compared with preset benchmark monitoring data range；When the monitoring data are in the preset benchmark monitoring data
In range, then defining judging result is that the wisdom fire-fighting supervisory systems abnormal conditions does not occur；When the monitoring data not
Within the scope of the preset benchmark monitoring data, then defining judging result is that the wisdom fire-fighting supervisory systems abnormal feelings occurs
Condition.Wherein, the preset benchmark monitoring data range is specifically set by having the personnel of professional fire protection knowledge, or is passed through
Online access related data is set.
S130: corresponding security decision suggestion and warning message are generated according to the monitoring data.
Referring to fig. 2, Fig. 2 is step in the wisdom fire-fighting security decision embodiment of the method one of the invention based on Internet of Things
The subdivided step flow diagram of S130.The process of the step S130 specifically includes the following steps:
S131: according to the monitoring data, the subsystem for abnormal conditions occur is got；
S132: it is found in the mapping relations library of preset monitoring data range-exception level of the subsystem described
The corresponding exception level of monitoring data；
S133: there is the subsystem of abnormal conditions and the exception level according to described, generate corresponding security decision
It is recommended that and warning message.
Wherein, the mapping relations library of the preset monitoring data range-exception level is by having professional fire protection knowledge
Personnel are specifically set, such as carry out distance with Water-level hydraulic information, when the water level of fire hydrant is lower than a value, the exception
Grade is level-one；When the water level of fire hydrant is between a value and b value, the exception level is second level；When the water level of fire hydrant exists
When between b value and normal value, the exception level is three-level；Wherein the b value is greater than a value.
Wherein, the security decision suggestion are as follows: the fire fighting truck quantity of responding, ambulance quantity, water source number of devices etc..Example
As: fire caused by the circuit monitored is level-one and the hydraulic pressure exception level of fire position is second level, then generates at this time
Security decision suggestion are as follows: the fire fighting truck quantity of responding is 4 or more, ambulance quantity is 2 or more, water source number of devices
Amount is 40 tons of water pump storage water etc..
S140: the security decision is suggested and warning message is transmitted to designated terminal.
In the present embodiment, the security decision suggestion of generation is transmitted to fire-fighting center in real time, or is transmitted to fire-fighting duty
Appoint main body, to improve the efficiency and effect of rescue.
The present invention proposes a kind of embodiment two of wisdom fire-fighting security decision method based on Internet of Things.Referring to Fig. 3, Fig. 3
For the flow diagram of the wisdom fire-fighting security decision embodiment of the method two of the invention based on Internet of Things.It is described to be based on Internet of Things
The embodiment two of wisdom fire-fighting security decision method improved on the basis of the above embodiment 1, improvements exist
In after the step S140 further include:
S150: it records and stores when abnormal exception information occurs in secondary wisdom fire-fighting supervisory systems.
In the present embodiment, the exception information includes: abnormal subsystem occur, abnormal exception level occur, occur
The information such as abnormal time, duration.After above- mentioned information are stored, facilitate subsequent carry out Data Management Analysis, thus into one
Step improves the wisdom fire-fighting security decision method based on Internet of Things.
The present invention separately proposes a kind of embodiment one of wisdom fire-fighting security decision system 100 based on Internet of Things.Referring to figure
4, Fig. 4 be the program module schematic diagram of the wisdom fire-fighting security decision system embodiment one of the invention based on Internet of Things.It is described
Wisdom fire-fighting security decision system 100 based on Internet of Things, comprising: data acquisition module 110, for obtaining wisdom fire-fighting in real time
The monitoring data of supervisory systems.Data analysis module 120, for judging the wisdom fire-fighting supervision according to the monitoring data
Whether system there are abnormal conditions.Generation module 130, for judging wisdom fire-fighting supervision system when the data analysis module
There are abnormal conditions in system, then generates corresponding security decision suggestion and warning message according to the monitoring data.Data transmission
Module 140, for suggesting the security decision and warning message is transmitted to designated terminal.
Referring to Fig. 5, Fig. 5 is that wisdom disappears in the wisdom fire-fighting security decision system embodiment one of the invention based on Internet of Things
The subsystem program module diagram of anti-supervisory systems.The wisdom fire-fighting supervisory systems includes subsystem below: wisdom disappears
Anti- alarm system 101, wisdom fire-fighting hydraulic pressure detection system 102, wisdom fire-fighting safety utilization of electric power management system 103, wisdom evacuation refer to
Show system 104, wisdom fire-fighting facility inspection management system 105, wisdom fire-fighting water-leakage detecting system 106.
Wherein, the monitoring data of the wisdom fire-fighting alarm system 101 are the fire protection warning information of each region building,
In the prior art since building builds the inconsistent of age, lead to the fire alarm host machine product of various years in the same area
Board and model are all inconsistent, so needing many duty rooms, a large amount of operator on duty results in the complexity of management.This project is long
Disappearing in first chain cloud controls integrated system and provides the method solved these problems, and has realized.The wisdom fire-fighting alarm system
101 can rapidly and accurately get the report of each region building by the monitoring function and Internet of Things function of GIS map formula
Alert information.
Wherein, the monitoring data of the wisdom fire-fighting hydraulic pressure detection system 102 are fire hydrant in the building of each region
Hydraulic pressure water level information usually obtains the hydraulic pressure water level information using the water level sensor monitoring being set in fire hydrant.Institute
Stating wisdom fire-fighting hydraulic pressure detection system 102 can rapidly and accurately be obtained by the monitoring function and Internet of Things function of GIS map formula
Get the hydraulic pressure water level information of each region building.Such as: when having fire generation in the relatively high place of floor, have
When due to hydraulic pressure or water level problem, cause not to be able to satisfy fire extinguishing demand, firefighter can not predict these information directly or in advance.
When the generation for having fire condition, knowing the water pressures in fire hydrant in advance just becomes particularly significant, can reduce the decision-making time.
Wherein, the monitoring data of the wisdom fire-fighting safety utilization of electric power management system 103 are fire-fighting in the building of each region
Whether the circuit information of bolt, i.e. circuit there are the multidate informations such as leakage current, temperature, overcurrent, over-voltage.The wisdom fire-fighting is used safely
Electric management system 103 can rapidly and accurately get each region by the monitoring function and Internet of Things function of GIS map formula
The circuit information of building.By checking electric information conditional curve, facilitate the false alarm for analyzing electric fire monitoring system
Producing reason, and then false alarm is reduced, avoid caused fear and loss etc..
Wherein, the monitoring data of the wisdom evacuation indication system 104 are that the fire-fighting evacuation in public place indicates information,
It combines GIS-Geographic Information System with Database Systems, by the principle far from fire point evacuation, automatically in the electricity of control centre
Ignition point is shown on sub- map, and by various forms of warning notes such as sending sound, light, image, texts, people is instructed to select
Select correct escape route.Round-the-clock unremitting real-time inspection is implemented to all emergency indicator lights and headlamp, and first
Time is prompted in a manner of sound-light alarm and shows position and the operating condition of trouble light.When emergency exit indicating lamp is met an urgent need, increase flashing
And auditory tone cues, such as " being extra exit here ", in case escape personnel misses outlet delay escape opportunity.Determining fire point position
Afterwards, system assigns instruction immediately, makes all emergency evacuation induced lights according to reasonable escape logic adjustment instruction direction, principle
Are as follows: far from fire point evacuation.The wisdom evacuation indication system 104 passes through the monitoring function and Internet of Things function energy of GIS map formula
The enough fire-fighting evacuation instruction information rapidly and accurately got in public place.
Wherein, the monitoring data of the wisdom fire-fighting facility inspection management system 105 are fire-fighting in the building of each region
Facilities information, building fire protection facility are broadly divided into two major classes, and one kind is fire extinguishing system, and another kind of is safe evacuation system.By building
Interior fire protection control room is built to operate control, maintenance, so that building fire protection facility is in intact effective state always, guarantees
The security against fire of building.Current maintenance, the mode that the mode for managing building is account, the paper patch of typically one record
On fire-fighting equipment, personnel inspection one time with regard to signature plus the date.Such operation has the unreachable position of patrolman, and
It is unfavorable for the management of facility.The wisdom fire-fighting facility inspection management system 105 passes through the monitoring function and object of GIS map formula
Connection function can rapidly and accurately get the fire fighting device information of each region building.
Wherein, the monitoring data of the wisdom fire-fighting water-leakage detecting system 106 are fire hydrant in the building of each region
The advantages of leakage information, wisdom fire-fighting water-leakage detecting system combines discharge method and negative pressure wave method, is carried out using flow equilibrium method
Leakage judgement, alarms to the leakage situation of pipeline, and first and last station pressure change is combined to carry out operating mode's switch, reduces wrong report,
Leak source positioning is carried out using suction wave.What flow equilibrium method sentenced leakage principle is in the pipeline not leaked at one, utilize " flow into etc.
In outflow " principle, measure the flow of pipe outlet and entrance in real time, when the big Mr. Yu's threshold values of entrance difference in flow, judge to manage
There may be leakages in road.The principle that suction wave carries out leak source positioning is being leaked when somewhere leaks suddenly on pipeline
Place will generate transient pressure bust, and this negative pressure fluctuation is propagated with certain speed from leakage point to both ends, and upstream and downstream pressure passes
Sensor captures the waveform of specific transient pressure drop, and leak source position can be positioned by carrying out data analysis by software.The wisdom disappears
Preventing water leakage detection system 106 can rapidly and accurately be got each by the monitoring function and Internet of Things function of GIS map formula
The leakage information of fire hydrant in the building of region.
In the present embodiment, the data analysis module 120 includes: comparing unit, is for supervising wisdom fire-fighting
The monitoring data of each subsystem are compared with preset benchmark monitoring data range in system.Definition unit, for when described
Monitoring data are within the scope of the preset benchmark monitoring data, then defining judging result is the wisdom fire-fighting supervisory systems
There are not abnormal conditions；When the monitoring data are not within the scope of the preset benchmark monitoring data, then judgement knot is defined
Fruit is that the wisdom fire-fighting supervisory systems abnormal conditions occurs.Wherein, the preset benchmark monitoring data range is disappeared by having
The personnel of anti-professional knowledge are specifically set, or are set by online access related data.
In the present embodiment, the generation module 130 includes: data capture unit, for obtaining according to the monitoring data
To there is the subsystem of abnormal conditions.Data searching unit, for preset monitoring data range-exception etc. in the subsystem
The corresponding exception level of the monitoring data is found in the mapping relations library of grade.Generation unit, for different according to the appearance
The subsystem of reason condition and the exception level generate corresponding security decision suggestion and warning message.
Wherein, the mapping relations library of the preset monitoring data range-exception level is by having professional fire protection knowledge
Personnel are specifically set, such as carry out distance with Water-level hydraulic information, when the water level of fire hydrant is lower than a value, the exception
Grade is level-one；When the water level of fire hydrant is between a value and b value, the exception level is second level；When the water level of fire hydrant exists
When between b value and normal value, the exception level is three-level；Wherein the b value is greater than a value.
Wherein, the security decision suggestion are as follows: the fire fighting truck quantity of responding, ambulance quantity, water source number of devices etc..Example
As: fire caused by the circuit monitored is level-one and the hydraulic pressure exception level of fire position is second level, then generates at this time
Security decision suggestion are as follows: the fire fighting truck quantity of responding is 4 or more, ambulance quantity is 2 or more, water source number of devices
Amount is 40 tons of water pump storage water etc..The security decision suggestion of generation is transmitted to fire-fighting in real time by data transmission module 140
Center, or it is transmitted to fire-fighting responsible party, to improve the efficiency and effect of rescue.
The present invention separately proposes a kind of embodiment two of wisdom fire-fighting security decision system 100 based on Internet of Things.Referring to figure
6, Fig. 6 be the program module schematic diagram of the wisdom fire-fighting security decision system embodiment two of the invention based on Internet of Things.It is described
The embodiment two of wisdom fire-fighting security decision system 100 based on Internet of Things is determined safely in the wisdom fire-fighting based on Internet of Things
It is improved on the basis of the embodiment one of plan system 100, it is improved in that the wisdom fire-fighting based on Internet of Things
Security decision system 100 further include: data memory module 150, for recording and storing when secondary wisdom fire-fighting supervisory systems goes out
Now abnormal exception information.
In the present embodiment, the exception information includes: abnormal subsystem occur, abnormal exception level occur, occur
The information such as abnormal time, duration.After above- mentioned information are stored, facilitate subsequent carry out Data Management Analysis, thus into one
Step improves the wisdom fire-fighting security decision method based on Internet of Things.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of wisdom fire-fighting security decision method based on Internet of Things, which comprises the following steps:
S110: the monitoring data of wisdom fire-fighting supervisory systems are obtained in real time；
S120: according to the monitoring data, judge whether the wisdom fire-fighting supervisory systems abnormal conditions occurs；If it is not, then returning
Return step S110；If so, being transferred to step S130；
S130: corresponding security decision suggestion and warning message are generated according to the monitoring data；
S140: the security decision is suggested and warning message is transmitted to designated terminal.
2. the wisdom fire-fighting security decision method according to claim 1 based on Internet of Things, which is characterized in that the wisdom
Firefighting supervision system includes subsystem below: wisdom fire-fighting alarm system, wisdom fire-fighting hydraulic pressure detection system, wisdom fire-fighting peace
Full power consuming administrative system, wisdom evacuation indication system, wisdom fire-fighting facility inspection management system, wisdom fire-fighting leak water detdction system
System.
3. the security decision method of the wisdom fire-fighting according to claim 2 based on Internet of Things, which is characterized in that the step
The process of rapid S120 are as follows:
The monitoring data of subsystem each in wisdom fire-fighting supervisory systems are compared with preset benchmark monitoring data range；
When the monitoring data are within the scope of the preset benchmark monitoring data, then defining judging result is that the wisdom disappears
There are not abnormal conditions in anti-supervisory systems；
When the monitoring data are not within the scope of the preset benchmark monitoring data, then defining judging result is that the wisdom disappears
There are abnormal conditions in anti-supervisory systems.
4. the security decision method of the wisdom fire-fighting according to claim 2 based on Internet of Things, which is characterized in that the step
The process of rapid S130 specifically includes the following steps:
S131: according to the monitoring data, the subsystem for abnormal conditions occur is got；
S132: the monitoring is found in the mapping relations library of preset monitoring data range-exception level of the subsystem
The corresponding exception level of data；
S133: there is the subsystem of abnormal conditions and the exception level according to described, generate corresponding security decision suggestion
And warning message.
5. the security decision method of the wisdom fire-fighting according to any one of claims 1-4 based on Internet of Things, feature
It is, after the step S140 further include:
S150: it records and stores when abnormal exception information occurs in secondary wisdom fire-fighting supervisory systems.
6. a kind of wisdom fire-fighting security decision system based on Internet of Things characterized by comprising
Data acquisition module, for obtaining the monitoring data of wisdom fire-fighting supervisory systems in real time；
Data analysis module, for judging whether the wisdom fire-fighting supervisory systems abnormal feelings occurs according to the monitoring data
Condition；
Generation module judges that abnormal conditions occurs in the wisdom fire-fighting supervisory systems for working as the data analysis module, then root
Corresponding security decision suggestion and warning message are generated according to the monitoring data；
Data transmission module, for suggesting the security decision and warning message is transmitted to designated terminal.
7. the wisdom fire-fighting security decision system according to claim 1 based on Internet of Things, which is characterized in that the wisdom
Firefighting supervision system includes subsystem below: wisdom fire-fighting alarm system, wisdom fire-fighting hydraulic pressure detection system, wisdom fire-fighting peace
Full power consuming administrative system, wisdom evacuation indication system, wisdom fire-fighting facility inspection management system, wisdom fire-fighting leak water detdction system
System.
8. the security decision system of the wisdom fire-fighting according to claim 7 based on Internet of Things, which is characterized in that the number
Include: according to analysis module
Comparing unit, for monitoring the monitoring data of subsystem each in wisdom fire-fighting supervisory systems and preset benchmark
Data area is compared；
Definition unit then defines judgement knot for being within the scope of the preset benchmark monitoring data when the monitoring data
Fruit is that the wisdom fire-fighting supervisory systems abnormal conditions does not occur；When the monitoring data are not monitored in the preset benchmark
In data area, then defining judging result is that the wisdom fire-fighting supervisory systems abnormal conditions occurs.
9. the security decision system of the wisdom fire-fighting according to claim 7 based on Internet of Things, which is characterized in that the life
Include: at module
Data capture unit, for getting the subsystem for abnormal conditions occur according to the monitoring data；
Data searching unit, for being looked into the mapping relations library of preset monitoring data range-exception level of the subsystem
Find the corresponding exception level of the monitoring data；
Generation unit generates corresponding safety for there is the subsystem of abnormal conditions and the exception level according to described
Decision recommendation and warning message.
10. according to the security decision system of the wisdom fire-fighting based on Internet of Things described in claim 6-9 any one, feature
It is, further includes:
Data memory module, for recording and storing when abnormal exception information occurs in secondary wisdom fire-fighting supervisory systems.
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