CN110414736A - A kind of wisdom fire-fighting safety predicting method and system based on Internet of Things - Google Patents
A kind of wisdom fire-fighting safety predicting method and system based on Internet of Things Download PDFInfo
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Abstract
The wisdom fire-fighting safe prediction system based on Internet of Things that the present invention provides a kind of, comprising: whether judgment module receives prediction enabled instruction for real-time judge.Data acquisition module then lights all wisdom fire-fighting supervisory systems Historical Monitoring data for calculating store in preset time period forward from acquisition current time in database for receiving prediction enabled instruction when the judgment module real-time judge.Generation module is suggested in prediction, for generating corresponding safe prediction suggestion according to the Historical Monitoring data.The present invention also provides a kind of wisdom fire-fighting safety predicting method based on Internet of Things, compared with prior art, the present invention can be according to the Historical Monitoring data of wisdom fire-fighting supervisory systems, corresponding safe prediction suggestion is generated, to realize the purpose for reducing abnormal conditions or contingency odds.
Description
Technical field
The present invention relates to the technical field of intelligence wisdom fire-fighting more particularly to a kind of wisdom fire-fighting based on Internet of Things are pre- safely
Survey 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 of the data information arrived to Historical Monitoring
With being also only used only to notify person liable and relevant operational staff, there is no using intelligent algorithm technology to these
Historical Monitoring information is analyzed, and the service in prediction is provided to person liable by way of wisdom, to not can avoid one
The generation of a little abnormal conditions or contingency.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of wisdom fire-fighting safety predicting method and system based on Internet of Things, energy
Enough Historical Monitoring data according to wisdom fire-fighting supervisory systems, generate corresponding safe prediction suggestion, to realize that reduction is abnormal
The purpose of situation or contingency odds.
In order to achieve the above object, the present invention proposes a kind of wisdom fire-fighting safety predicting method based on Internet of Things, including
Following steps:
S110: whether real-time judge receives prediction enabled instruction；
S120: calculate that is stored in preset time period owns forward if so, lighting from acquisition current time in database
Wisdom fire-fighting supervisory systems Historical Monitoring data；
S130: according to the Historical Monitoring data, corresponding safe prediction suggestion is generated.
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 S130 specifically includes:
According to the Historical Monitoring data, each subsystem occurs abnormal in wisdom fire-fighting supervisory systems described in analytical calculation
The frequency of situation；
There is the frequency of abnormal conditions according to each subsystem that analysis meter calculates, generates corresponding safe prediction and build
View.
Preferably, after the step S130 further include:
S140: the safe prediction suggestion is transmitted to designated terminal and is shown.
Preferably, after the step S140 further include:
S150: obtaining current time point, judges whether the time point is preset inspection maintenance time point；
S160: if so, judging whether the wisdom fire-fighting supervisory systems has been safeguarded by inspection；
S170: if it is not, then generating corresponding prompting message.
In order to achieve the above object, the wisdom fire-fighting safe prediction system based on Internet of Things that the present invention also provides a kind of,
Include:
Whether judgment module receives prediction enabled instruction for real-time judge；
Data acquisition module, for receiving prediction enabled instruction when the judgment module real-time judge, then from database
The middle current time that obtains lights all wisdom fire-fighting supervisory systems Historical Monitoring numbers for calculating store in preset time period forward
According to；
Generation module is suggested in prediction, for generating corresponding safe prediction suggestion according to the Historical Monitoring data.
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 prediction suggests that generation module includes: analytical unit, generation unit；
The analytical unit, for according to the Historical Monitoring data, in wisdom fire-fighting supervisory systems described in analytical calculation
There is the frequency of abnormal conditions in each subsystem；
There is the frequency of abnormal conditions in the generation unit, each subsystem for being calculated according to analysis meter, raw
At corresponding safe prediction suggestion.
Preferably, the wisdom fire-fighting safe prediction system based on Internet of Things further include: data transmission module；
The data transmission module is shown for the safe prediction suggestion to be transmitted to designated terminal.
Preferably, the wisdom fire-fighting safe prediction system based on Internet of Things further include: reminding module；
The judgment module is also used to obtain current time point, judges whether the time point is preset inspection dimension
Protect time point；If judging, current point in time for preset inspection maintenance time point, judges that the wisdom fire-fighting supervisory systems is
It is no to be safeguarded by inspection；
The reminding module, for judging that the wisdom fire-fighting supervisory systems is not tieed up by inspection when the judgment module
Shield, then generate corresponding prompting message.
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 Historical Monitoring data are integrated using big data processing technique and intelligent algorithm, are handled, are processed, are analyzed, to generate phase
The purpose for reducing abnormal conditions or contingency odds is realized in the safe prediction suggestion answered.
Detailed description of the invention
Fig. 1 is the flow diagram of the wisdom fire-fighting safety predicting method embodiment one of the invention based on Internet of Things；
Fig. 2 is the flow diagram of the wisdom fire-fighting safety predicting method embodiment two of the invention based on Internet of Things；
Fig. 3 is the flow diagram of the wisdom fire-fighting safety predicting method embodiment three of the invention based on Internet of Things；
Fig. 4 is that the program module of the wisdom fire-fighting safe prediction system embodiment one of the invention based on Internet of Things is illustrated
Figure；
Fig. 5 is that the program module of the wisdom fire-fighting safe prediction system embodiment two of the invention based on Internet of Things is illustrated
Figure；
Fig. 6 is that the program module of the wisdom fire-fighting safe prediction system embodiment three 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 present invention provides a kind of wisdom fire-fighting safety predicting method based on Internet of Things.It is the present invention referring to Fig. 1, Fig. 1
The wisdom fire-fighting safety predicting method embodiment one based on Internet of Things flow diagram.In example 1, described to be based on
The wisdom fire-fighting safety predicting method of Internet of Things, comprising the following steps:
S110: whether real-time judge receives prediction enabled instruction.
In the present embodiment, the prediction enabled instruction can be set to timing and issue, and may be set to be real-time sending.Example
Such as, the timing in the timing sending can be set as every month 1 or every month 15 or every month 30 etc., when
When reaching the timing, system issues prediction enabled instruction immediately.Such as: the timing is set as every month 1
Number, if the timing module in the presently described wisdom fire-fighting safe prediction system based on Internet of Things monitors that the current time is 30
Number, then it will not issue the prediction enabled instruction；If the timing module monitors that current time is No. 1, immediately described in sending
Predict enabled instruction.The process issued in real time are as follows: the wisdom fire-fighting safe prediction exterior based on Internet of Things is set
It is equipped with a function button, when fire-fighting responsible party people or other responsible persons press the function button, immediately in real time described in sending
Predict enabled instruction.
S120: calculate that is stored in preset time period owns forward if so, lighting from acquisition current time in database
Wisdom fire-fighting supervisory systems Historical Monitoring data.
In the present embodiment, the preset time period is specifically set by having the personnel of professional fire protection knowledge, such as
It can be set as: 30 days, 60 days, 120 days or 180 days；The preset time period is preferably set as 120 days, that is, obtains 4
The wisdom fire-fighting supervisory systems Historical Monitoring data in a month.
In the present embodiment, 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 pipe
Reason system, wisdom fire-fighting water-leakage detecting system.
Wherein, the Historical Monitoring data of the wisdom fire-fighting alarm system are as follows: each region building in preset time period
Fire protection warning historical information, the present invention is can be rapidly and accurately by the monitoring function and Internet of Things function of GIS map formula
The warning message of each region building is got, and further is stored in database profession to facilitate by the warning message and count
According to acquisition.
Wherein, the Historical Monitoring data of the wisdom fire-fighting hydraulic pressure detection system are as follows: each region is built in preset time period
Build the hydraulic pressure water level historical information of fire hydrant in object.Usually institute is obtained using the water level sensor monitoring being set in fire hydrant
State hydraulic pressure water level information.The wisdom fire-fighting hydraulic pressure detection system passes through the monitoring function and Internet of Things function energy of GIS map formula
Enough hydraulic pressure water level informations for rapidly and accurately getting each region building, and further store the hydraulic pressure water level information
Facilitate the acquisition for carrying out data in database.
Wherein, the Historical Monitoring data of the wisdom fire-fighting safety utilization of electric power management system are as follows: each area in preset time period
Whether the circuit historical information of fire hydrant in the building of domain, 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 management system can be rapidly and accurately by the monitoring function and Internet of Things function of GIS map formula
The circuit information of each region building is got, and further is stored in database profession to facilitate by the circuit information and count
According to acquisition.
Wherein, the Historical Monitoring data of the wisdom evacuation indication system are as follows: going through in public place in preset time period
History fire-fighting evacuation indicates information.It combines GIS-Geographic Information System with Database Systems, by putting the principle of evacuation far from fire,
Automatically ignition point is shown on the electronic map of control centre, and various forms of by sending sound, light, image, text etc.
Warning note instructs people to select correct escape route.All emergency indicator lights and headlamp are implemented round-the-clock free of discontinuities
Real-time inspection, and position and the operating condition of trouble light are prompted and shown in a manner of sound-light alarm in first time.The wisdom is dredged
Dissipating instruction system can rapidly and accurately be got in public place by the monitoring function and Internet of Things function of GIS map formula
Fire-fighting evacuation indicates information, and further is stored in database profession to facilitate by fire-fighting evacuation instruction information and carries out obtaining for data
It takes.
Wherein, the Historical Monitoring data of the wisdom fire-fighting facility inspection management system are as follows: each area in preset time period
History fire fighting device information in the building of domain.Building fire protection facility is broadly divided into two major classes, and one kind is fire extinguishing system, another kind of to be
Safe evacuation system.Control, maintenance are operated by the fire protection control room in building, have been in building fire protection facility always
Good effective state, guarantees the security against fire of building.The wisdom fire-fighting facility inspection management system passes through GIS map formula
Monitoring function and Internet of Things function can rapidly and accurately get the fire fighting device information of each region building, and further
The fire fighting device information is stored in database profession to the acquisition for facilitating and carrying out data.
Wherein, the Historical Monitoring data of the wisdom fire-fighting water-leakage detecting system are as follows: each region is built in preset time period
Build the history leakage information of fire hydrant in object.Wisdom fire-fighting water-leakage detecting system combines the advantages of discharge method and negative pressure wave method,
Leakage judgement is carried out using flow equilibrium method, is alarmed the leakage situation of pipeline, and first and last station pressure change is combined to carry out
Operating mode's switch reduces wrong report, carries out leak source positioning using suction wave.The wisdom fire-fighting water-leakage detecting system passes through GIS map
The monitoring function and Internet of Things function of formula can rapidly and accurately get the leakage information of fire hydrant in the building of each region,
And further the leakage information is stored in database profession and facilitates the acquisition for carrying out data.
S130: according to the Historical Monitoring data, corresponding safe prediction suggestion is generated.
In the present embodiment, the process of the step S130 is specifically included: 1, according to the Historical Monitoring data, analytical calculation
There is the frequency of abnormal conditions in each subsystem in the wisdom fire-fighting supervisory systems；2, it is calculated according to analysis meter described each
There is the frequency of abnormal conditions in subsystem, generates corresponding safe prediction suggestion.
The present embodiment suggests that generating process is described in detail with safe prediction of the specific example to step S130.Example
Such as: since get nearly four months in database in the wisdom fire-fighting supervisory systems each subsystem Historical Monitoring number
According to analyzing the wisdom fire-fighting alarm system from data the frequency of abnormal conditions occur is that 0, the wisdom fire-fighting hydraulic pressure is examined
The frequency that abnormal conditions occurs in examining system is (abnormal conditions are that hydraulic pressure is relatively low), the wisdom fire-fighting safety utilization of electric power in 1 time/120 days
The frequency that abnormal conditions occurs in management system is 2 times/120 days (abnormal conditions are voltage overload), the wisdom exit signs
System occurs that the frequency of abnormal conditions is 0, the frequency of abnormal conditions occur be 3 to wisdom fire-fighting facility inspection management system
Secondary/120 days (abnormal conditions are that inspectorate does not have fire control facility to patrol), the wisdom fire-fighting water-leakage detecting system go out
The frequency of existing abnormal conditions is 0；According to the frequency of the appearance abnormal conditions of above-mentioned analysis, the safe prediction suggestion of generation are as follows: increase
Add the detection number (being such as originally used for weekly, increasing primary for 5 days) to wisdom fire-fighting hydraulic pressure detection system, especially pre- waterproof
The problem of pressure aspect；Wisdom fire-fighting safety utilization of electric power management system will check emphatically the problem of voltage overload, in addition remind fire-fighting duty
Main body is appointed periodically conscientiously to be patrolled each wisdom fire-fighting supervisory systems, record inspection result.There are not abnormal feelings in other
The subsystem of condition can keep current detection number and frequency.
The present invention proposes a kind of embodiment two of wisdom fire-fighting safety predicting method based on Internet of Things.Referring to fig. 2, Fig. 2
For the flow diagram of the wisdom fire-fighting safety predicting method embodiment 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 safety predicting method improved on the basis of the above embodiment 1, improvements exist
In after the step S130 further include:
S140: the safe prediction suggestion is transmitted to designated terminal and is shown.
In the present embodiment, the designated terminal can be fire-fighting center, the fire-fighting main body person liable for announcing place, each cell
The terminals such as property management center.The safe prediction suggestion is transmitted to designated terminal to show, can to each fire-fighting main body into
The effect that row is reminded, to further increase the effect of the wisdom fire-fighting safety predicting method based on Internet of Things.
The present invention proposes a kind of embodiment three of wisdom fire-fighting safety predicting method based on Internet of Things.Referring to Fig. 3, Fig. 3
For the flow diagram of the wisdom fire-fighting safety predicting method embodiment three of the invention based on Internet of Things.It is described to be based on Internet of Things
The embodiment three of wisdom fire-fighting safety predicting method improved on the basis of above-described embodiment two, improvements exist
In after the step S140 further include:
S150: obtaining current time point, judges whether the time point is preset inspection maintenance time point.
In the present embodiment, the preset inspection maintenance time point is set by the personnel for having professional knowledge, if patrolling
Looking into frequency is that once a day, then can set the preset inspection maintenance time point are as follows: 5 points, 6 points or 8 of every afternoon
Point.It, can will the preset inspection maintenance time point setting if inspection frequency is that every amount day is primary are as follows: at 5 points in afternoon Monday,
At 5 points in afternoon Wednesday, 5 points of Friday afternoon and at 5 points in afternoon on Sunday.
S160: if so, judging whether the wisdom fire-fighting supervisory systems has been safeguarded by inspection.
In the present embodiment, judge whether the wisdom fire-fighting supervisory systems can have been patrolled by inspection maintenance by shooting to obtain
Record of patrol on verification certificate is judged, if showing the patrol time on the same day and Signature Confirmation on record of patrol, is judged
It as a result is yes；Conversely, then judging result is no.If the record of patrol can pass through in online typing correlation inspection data
Whether Internet of Things gets the corresponding inspection data of upload, can be realized and judges whether the wisdom fire-fighting supervisory systems is patrolled
Look into maintenance.
S170: if it is not, then generating corresponding prompting message.
In the present embodiment, is not patrolled and safeguarded when the wisdom fire-fighting supervisory systems, then generate corresponding prompting message.
Wherein, the prompting message can be with are as follows: you are good, asks timely fire fighting device to be patrolled and is recorded.It can be by the prompting message
It is sent to fire-fighting main body person liable, and/or inspection responsible person.
The present invention separately proposes a kind of embodiment one of wisdom fire-fighting safe prediction system 100 based on Internet of Things.Referring to figure
4, Fig. 4 be the program module schematic diagram of the wisdom fire-fighting safe prediction system embodiment one of the invention based on Internet of Things.It is described
Wisdom fire-fighting safe prediction system 100 based on Internet of Things, comprising: judgment module 110, for that whether real-time judge receives to be pre-
Survey enabled instruction.Data acquisition module 120, for receiving prediction enabled instruction when 110 real-time judge of judgment module, then
It is lighted from acquisition current time in database and calculates that all wisdom fire-fighting supervisory systems stored in preset time period are gone through forward
History monitoring data.Generation module 130 is suggested in prediction, for generating corresponding safe prediction and building according to the Historical Monitoring data
View.
In the present embodiment, the prediction enabled instruction can be set to timing and issue, and may be set to be real-time sending.Example
Such as, the timing in the timing sending can be set as every month 1 or every month 15 or every month 30 etc., when
When reaching the timing, system issues prediction enabled instruction immediately.Such as: the timing is set as every month 1
Number, if the timing module in the presently described wisdom fire-fighting safe prediction system 100 based on Internet of Things monitors the current time
It is No. 30, then will not issues the prediction enabled instruction；If the timing module monitors that current time is No. 1, issue immediately
The prediction enabled instruction.The process issued in real time are as follows: the wisdom fire-fighting safe prediction system 100 based on Internet of Things
Outside is provided with a function button, when fire-fighting responsible party people or other responsible persons pressing function button, sends out in real time immediately
The prediction enabled instruction out.
In the present embodiment, the preset time period is specifically set by having the personnel of professional fire protection knowledge, such as
It can be set as: 30 days, 60 days, 120 days or 180 days；The preset time period is preferably set as 120 days, that is, obtains 4
The wisdom fire-fighting supervisory systems Historical Monitoring data in a month.
In the present embodiment, 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 pipe
Reason system, wisdom fire-fighting water-leakage detecting system.
Wherein, the Historical Monitoring data of the wisdom fire-fighting alarm system are as follows: each region building in preset time period
Fire protection warning historical information, the present invention is can be rapidly and accurately by the monitoring function and Internet of Things function of GIS map formula
The warning message of each region building is got, and further is stored in database profession to facilitate by the warning message and count
According to acquisition.
Wherein, the Historical Monitoring data of the wisdom fire-fighting hydraulic pressure detection system are as follows: each region is built in preset time period
Build the hydraulic pressure water level historical information of fire hydrant in object.Usually institute is obtained using the water level sensor monitoring being set in fire hydrant
State hydraulic pressure water level information.The wisdom fire-fighting hydraulic pressure detection system passes through the monitoring function and Internet of Things function energy of GIS map formula
Enough hydraulic pressure water level informations for rapidly and accurately getting each region building, and further store the hydraulic pressure water level information
Facilitate the acquisition for carrying out data in database.
Wherein, the Historical Monitoring data of the wisdom fire-fighting safety utilization of electric power management system are as follows: each area in preset time period
Whether the circuit historical information of fire hydrant in the building of domain, 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 management system can be rapidly and accurately by the monitoring function and Internet of Things function of GIS map formula
The circuit information of each region building is got, and further is stored in database profession to facilitate by the circuit information and count
According to acquisition.
Wherein, the Historical Monitoring data of the wisdom evacuation indication system are as follows: going through in public place in preset time period
History fire-fighting evacuation indicates information.It combines GIS-Geographic Information System with Database Systems, by putting the principle of evacuation far from fire,
Automatically ignition point is shown on the electronic map of control centre, and various forms of by sending sound, light, image, text etc.
Warning note instructs people to select correct escape route.All emergency indicator lights and headlamp are implemented round-the-clock free of discontinuities
Real-time inspection, and position and the operating condition of trouble light are prompted and shown in a manner of sound-light alarm in first time.The wisdom is dredged
Dissipating instruction system can rapidly and accurately be got in public place by the monitoring function and Internet of Things function of GIS map formula
Fire-fighting evacuation indicates information, and further is stored in database profession to facilitate by fire-fighting evacuation instruction information and carries out obtaining for data
It takes.
Wherein, the Historical Monitoring data of the wisdom fire-fighting facility inspection management system are as follows: each area in preset time period
History fire fighting device information in the building of domain.Building fire protection facility is broadly divided into two major classes, and one kind is fire extinguishing system, another kind of to be
Safe evacuation system.Control, maintenance are operated by the fire protection control room in building, have been in building fire protection facility always
Good effective state, guarantees the security against fire of building.The wisdom fire-fighting facility inspection management system passes through GIS map formula
Monitoring function and Internet of Things function can rapidly and accurately get the fire fighting device information of each region building, and further
The fire fighting device information is stored in database profession to the acquisition for facilitating and carrying out data.
Wherein, the Historical Monitoring data of the wisdom fire-fighting water-leakage detecting system are as follows: each region is built in preset time period
Build the history leakage information of fire hydrant in object.Wisdom fire-fighting water-leakage detecting system combines the advantages of discharge method and negative pressure wave method,
Leakage judgement is carried out using flow equilibrium method, is alarmed the leakage situation of pipeline, and first and last station pressure change is combined to carry out
Operating mode's switch reduces wrong report, carries out leak source positioning using suction wave.The wisdom fire-fighting water-leakage detecting system passes through GIS map
The monitoring function and Internet of Things function of formula can rapidly and accurately get the leakage information of fire hydrant in the building of each region,
And further the leakage information is stored in database profession and facilitates the acquisition for carrying out data.
In the present embodiment, the prediction suggests that generation module 130 includes: analytical unit, generation unit.The analysis is single
Member, for according to the Historical Monitoring data, each subsystem to occur abnormal in wisdom fire-fighting supervisory systems described in analytical calculation
The frequency of situation.There is the frequency of abnormal conditions in the generation unit, each subsystem for being calculated according to analysis meter,
Generate corresponding safe prediction suggestion.
The present embodiment suggests that the safe prediction of generation module 130 suggests that generating process carries out in detail to prediction with specific example
Thin explanation.Such as: each subsystem in the wisdom fire-fighting supervisory systems since get nearly four months in database
Historical Monitoring data, it is 0, the wisdom that the wisdom fire-fighting alarm system is analyzed from data the frequency of abnormal conditions occur
The frequency that abnormal conditions occurs in fire fighting hydraulic pressure detection system is that 1 time/120 days (abnormal conditions are that hydraulic pressure is relatively low), the wisdom disappear
The frequency that abnormal conditions occurs in anti-safety utilization of electric power management system is 2 times/120 days (abnormal conditions are voltage overload), the intelligence
The frequency that abnormal conditions occurs in intelligent evacuation indication system is that 0, the wisdom fire-fighting facility inspection management system abnormal conditions occurs
Frequency be (abnormal conditions are that inspectorate does not have fire control facility to patrol), the wisdom fire-fighting leak in 3 times/120 days
The frequency that abnormal conditions occurs in detection system is 0；According to the frequency of the appearance abnormal conditions of above-mentioned analysis, the safe prediction of generation
It is recommended that are as follows: increase the detection number (being such as originally used for weekly, increasing primary for 5 days) to wisdom fire-fighting hydraulic pressure detection system,
Especially in terms of prevention hydraulic pressure the problem of；Wisdom fire-fighting safety utilization of electric power management system will check emphatically the problem of voltage overload, in addition
Fire-fighting responsible party is reminded periodically conscientiously to be patrolled each wisdom fire-fighting supervisory systems, record inspection result.Other do not have
There is the subsystem of abnormal conditions, current detection number and frequency can be kept.
The present invention separately proposes a kind of embodiment two of wisdom fire-fighting safe prediction system 100 based on Internet of Things.Referring to figure
5, Fig. 5 be the program module schematic diagram of the wisdom fire-fighting safe prediction system embodiment two of the invention based on Internet of Things.It is described
The embodiment two of wisdom fire-fighting safe prediction system 100 based on Internet of Things is pre- safely in the wisdom fire-fighting based on Internet of Things
It is improved on the basis of the embodiment one of examining system 100, it is improved in that the wisdom fire-fighting based on Internet of Things
Safe prediction system 100 further include: data transmission module 140.The data transmission module 140 is used for the safe prediction
It is shown it is recommended that being transmitted to designated terminal.
In the present embodiment, the designated terminal can be fire-fighting center, the fire-fighting main body person liable for announcing place, each cell
The terminals such as property management center.The safe prediction suggestion is transmitted to designated terminal and shown by the data transmission module 140,
The effect that each fire-fighting main body can be reminded, to further increase the wisdom fire-fighting safe prediction based on Internet of Things
The effect of system 100.
The present invention separately proposes a kind of embodiment three of wisdom fire-fighting safe prediction system 100 based on Internet of Things.Referring to figure
6, Fig. 6 be the program module schematic diagram of the wisdom fire-fighting safe prediction system embodiment three of the invention based on Internet of Things.It is described
The embodiment three of wisdom fire-fighting safe prediction system 100 based on Internet of Things is pre- safely in the wisdom fire-fighting based on Internet of Things
It is improved on the basis of the embodiment two of examining system 100, it is improved in that the wisdom fire-fighting based on Internet of Things
Safe prediction system 100 further include: reminding module 150.The judgment module 110 is also used to obtain current time point, judgement
Whether the time point is preset inspection maintenance time point；If judge current point in time for preset inspection maintenance time point,
Then judge whether the wisdom fire-fighting supervisory systems has been safeguarded by inspection.The reminding module 150, for working as the judgment module
110 judge that the wisdom fire-fighting supervisory systems is not safeguarded by inspection, then generate corresponding prompting message.
In the present embodiment, the preset inspection maintenance time point is set by the personnel for having professional knowledge, if patrolling
Looking into frequency is that once a day, then can set the preset inspection maintenance time point are as follows: 5 points, 6 points or 8 of every afternoon
Point.It, can will the preset inspection maintenance time point setting if inspection frequency is that every amount day is primary are as follows: at 5 points in afternoon Monday,
At 5 points in afternoon Wednesday, 5 points of Friday afternoon and at 5 points in afternoon on Sunday.
In the present embodiment, the judgment module 110 judges whether the wisdom fire-fighting supervisory systems can by inspection maintenance
Judged with obtaining the record of patrol on inspection list by shooting, if showing the patrol time and on the same day on record of patrol
Signature Confirmation, then 110 judging result of judgment module is yes；Conversely, then 110 judging result of judgment module is no.If
Whether the record of patrol can then get the corresponding inspection number of upload in online typing correlation inspection data by Internet of Things
According to the judgment module 110, which can be realized, judges whether the wisdom fire-fighting supervisory systems has been safeguarded by inspection.
In the present embodiment, safeguarded when the judgment module 110 judges that the wisdom fire-fighting supervisory systems is not patrolled, then
The reminding module 150 generates corresponding prompting message.Wherein, the prompting message can be with are as follows: you are good, asks timely fire fighting device
It is patrolled and is recorded.The prompting message can be sent to fire-fighting main body person liable, and/or patrolled by the reminding module 150
Look into responsible person.
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 similarly includes in the invention patent protection scope.
Claims (10)
1. a kind of wisdom fire-fighting safety predicting method based on Internet of Things, which comprises the following steps:
S110: whether real-time judge receives prediction enabled instruction；
S120: if so, lighting all intelligence for calculating store in preset time period forward from current time is obtained in database
Intelligent firefighting supervision system Historical Monitoring data；
S130: according to the Historical Monitoring data, corresponding safe prediction suggestion is generated.
2. the wisdom fire-fighting safety predicting 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 wisdom fire-fighting safety predicting method according to claim 2 based on Internet of Things, which is characterized in that the step
The process of S130 specifically includes:
According to the Historical Monitoring data, there are abnormal conditions in each subsystem in wisdom fire-fighting supervisory systems described in analytical calculation
Frequency；
There is the frequency of abnormal conditions according to each subsystem that analysis meter calculates, generates corresponding safe prediction suggestion.
4. the wisdom fire-fighting safety predicting method based on Internet of Things according to claim 1 to 3, feature exist
In after the step S130 further include:
S140: the safe prediction suggestion is transmitted to designated terminal and is shown.
5. the wisdom fire-fighting safety predicting method according to claim 4 based on Internet of Things, which is characterized in that the step
After S140 further include:
S150: obtaining current time point, judges whether the time point is preset inspection maintenance time point；
S160: if so, judging whether the wisdom fire-fighting supervisory systems has been safeguarded by inspection；
S170: if it is not, then generating corresponding prompting message.
6. a kind of wisdom fire-fighting safe prediction system based on Internet of Things characterized by comprising
Whether judgment module receives prediction enabled instruction for real-time judge；
Data acquisition module is then obtained from database for receiving prediction enabled instruction when the judgment module real-time judge
Current time is taken to light all wisdom fire-fighting supervisory systems Historical Monitoring data for calculating store in preset time period forward；
Generation module is suggested in prediction, for generating corresponding safe prediction suggestion according to the Historical Monitoring data.
7. the wisdom fire-fighting safe prediction system according to claim 6 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 wisdom fire-fighting safe prediction system according to claim 7 based on Internet of Things, which is characterized in that the prediction
It is recommended that generation module includes: analytical unit, generation unit；
The analytical unit, it is each in wisdom fire-fighting supervisory systems described in analytical calculation for according to the Historical Monitoring data
There is the frequency of abnormal conditions in subsystem；
There is the frequency of abnormal conditions in the generation unit, each subsystem for being calculated according to analysis meter, generate phase
The safe prediction suggestion answered.
9. the wisdom fire-fighting safe prediction system according to claim 6-8 any one based on Internet of Things, feature exist
In the wisdom fire-fighting safe prediction system based on Internet of Things further include: data transmission module；
The data transmission module is shown for the safe prediction suggestion to be transmitted to designated terminal.
10. the wisdom fire-fighting safe prediction system according to claim 9 based on Internet of Things, which is characterized in that the base
In the wisdom fire-fighting safe prediction system of Internet of Things further include: reminding module；
The judgment module is also used to obtain current time point, when judging whether the time point is preset inspection maintenance
Between point；If judging whether current point in time for preset inspection maintenance time point, judges the wisdom fire-fighting supervisory systems
It is safeguarded by inspection；
The reminding module, for judging that the wisdom fire-fighting supervisory systems is not safeguarded by inspection when the judgment module, then
Generate corresponding prompting message.
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