CN109669344A - A kind of super high-rise building long distance high efficiency smoke-exhaust fire monitoring method and management system for internet of things - Google Patents
A kind of super high-rise building long distance high efficiency smoke-exhaust fire monitoring method and management system for internet of things Download PDFInfo
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- CN109669344A CN109669344A CN201811440895.5A CN201811440895A CN109669344A CN 109669344 A CN109669344 A CN 109669344A CN 201811440895 A CN201811440895 A CN 201811440895A CN 109669344 A CN109669344 A CN 109669344A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 33
- 230000002265 prevention Effects 0.000 claims abstract description 204
- 239000000779 smoke Substances 0.000 claims abstract description 204
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- 238000007405 data analysis Methods 0.000 claims abstract description 7
- 238000005070 sampling Methods 0.000 claims description 39
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- 235000019504 cigarettes Nutrition 0.000 claims description 9
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- 238000006243 chemical reaction Methods 0.000 description 3
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B11/00—Automatic controllers
- G05B11/01—Automatic controllers electric
- G05B11/36—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
- G05B11/42—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential for obtaining a characteristic which is both proportional and time-dependent, e.g. P. I., P. I. D.
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Abstract
The invention discloses a kind of super high-rise building long distance high efficiency smoke-exhaust fire monitoring methods, it include the following: that fire-fighting Smoke prevention blower Internet of Things adapter obtains the status data for being distributed in the fire-fighting Smoke prevention blower of each floor building, to learn and cope with the smoke-exhaust fire emergency rating of each floor building in advance in time；The status data of fire-fighting Smoke prevention blower is sent to Internet of Things application platform by internet of things data cloud platform by fire-fighting Smoke prevention blower Internet of Things adapter；Internet of Things application platform receives the status data with storage fire-fighting Smoke prevention blower, and carries out big data analysis and processing to above-mentioned data, and Internet of Things application platform generates control instruction according to above-mentioned data；Control instruction is sent to fire-fighting Smoke prevention blower by internet of things data cloud platform and fire-fighting Smoke prevention blower Internet of Things adapter by Internet of Things application platform, so that fire-fighting Smoke prevention blower is accordingly controlled according to operating status of the control instruction to fire-fighting Smoke prevention blower.
Description
Technical field
The present invention relates to fire-fighting domains, and in particular to a kind of super high-rise building long distance high efficiency smoke-exhaust fire monitoring method and object
Networking management system.
Background technique
Now, in many regions, especially city, Town Center, factory's aggregation ground, all kinds of super high rise buildings intensively divide
Cloth, therewith, the security against fire of super high rise building also become the problem of people increasingly pay close attention to.
Traditional fire-fighting fume-resisting system (equipment) is safeguarded, safety monitoring needs artificial field operation to complete, this mode
It is time-consuming and laborious, at high cost and cannot find fire-fighting fume-resisting system hidden danger in time, often fire-fighting fume-resisting system it is out of service or
It is just overhauled and is found by maintenance personal after the failure long period, the safe operation of fire-fighting fume-resisting system equipment and supervision face
Face huge challenge.Traditional fire-fighting fume-resisting system management service mode far can not adapt to the needs of existing situation.
It is increasingly mature with variable-frequency control technique, to realize that constant pressure air-supply provides reliable technical conditions.In the past by
It is limited in technical conditions and for cost consideration, the open loop control mode realization for generalling use frequency converter combination timer is sent roughly
Wind.Although constituting closed-loop control system using frequency converter and pressure sensor at present, the output flow for adjusting pressure fan realizes perseverance
Air feed is pressed, but all there are two disadvantages:
1. control algolithm is too simple, pressure is controlled to adjust using simple switching logic.For example, pressure value is more than a certain
Pressure fan motor is out of service when upper limit value, starts pressure fan motor when pressure value is lower than a certain lower limit value；Generally, on
Stating control mode all is to adjust wind pressure by setting threshold pressure.If the bound difference of wind pressure is smaller, constant pressure
The precision of control is higher, but easily causes the frequent start-stop of pressure fan motor, shortens motor service life, if the bound of wind pressure
Difference is larger, then the precision of Isobarically Control will be deteriorated.
2. using analog form set wind pressure value, it is common practice to use a slide potentiometer adjust voltage swing as to
Determine wind pressure value.Though this mode saves cost, since the service life of slide potentiometer is limited, after access times are excessive, and electricity
Position device carbon membrane is prone to wear, and idle running error is generated, so that setting value has biggish deviation.
It is, therefore, desirable to provide the super high-rise building long distance high efficiency smoke-exhaust fire monitoring method and system of new remote job,
To overcome the above problem.
Summary of the invention
The object of the present invention is to provide a kind of super high-rise building long distance high efficiency smoke-exhaust fire monitoring method, real time monitorings
It is distributed in the status data of the fire-fighting Smoke prevention blower of each floor building and the ambient enviroment field data of fire-fighting Smoke prevention blower；
To learn and cope with the smoke-exhaust fire emergency rating of each floor building in advance in time.Super high-rise building long distance high efficiency row of the present invention
Cigarette fire monitoring method also designs fire-fighting Smoke prevention blower active automatic constant pressure control: being become based on PID (proportional integral differential) closed loop
Frequency controls, and can reach error-free Isobarically Control, while utilizing PLC (programmable controller) organic assembling, realizes accurate number
The setting of word wind pressure value, and the constant-voltage equipment air-supply energy conservation being significantly improved on energy-saving effect.
The object of the invention also provides a kind of super high-rise building long distance high efficiency smoke-exhaust fire monitoring method for implementing above scheme
Management system for internet of things, to realize the remote job for smoke-exhaust fire equipment.
To achieve the above object, the technical solution adopted by the present invention is that:
A kind of super high-rise building long distance high efficiency smoke-exhaust fire monitoring method, the long distance high efficiency smoke-exhaust fire method include such as
Under:
(1), fire-fighting Smoke prevention blower Internet of Things adapter obtains the state for being distributed in the fire-fighting Smoke prevention blower of each floor building
Data, the status data include the real-time running state data of fire-fighting Smoke prevention blower and surrounding's ring of fire-fighting Smoke prevention blower
Border field data；To learn the smoke-exhaust fire emergency rating for coping with each floor building in advance in time；
(2), fire-fighting Smoke prevention blower Internet of Things adapter passes through internet of things data cloud platform for the real-time of fire-fighting Smoke prevention blower
Running state data and the ambient enviroment field data of fire-fighting Smoke prevention blower are sent to Internet of Things application platform；
(3), Internet of Things application platform receives anti-with the real-time running state data of storage fire-fighting Smoke prevention blower and fire-fighting
The ambient enviroment field data of cigarette blower, and to above-mentioned data carry out big data analysis and processing, Internet of Things application platform according to
Above-mentioned data generate control instruction；
(4), Internet of Things application platform passes through internet of things data cloud platform and fire-fighting Smoke prevention blower Internet of Things adapter will
Control instruction is sent to fire-fighting Smoke prevention blower, so that operation of the fire-fighting Smoke prevention blower according to control instruction to fire-fighting Smoke prevention blower
State is accordingly controlled.
Super high-rise building long distance high efficiency smoke-exhaust fire monitoring method of the present invention is further preferred, the fire-fighting Smoke prevention blower object
Networking adapter obtain fire-fighting Smoke prevention blower status data include: the fire-fighting Smoke prevention blower Internet of Things adapter by with disappear
Control module or fire-fighting Smoke prevention controller of fan on Smoke prevention blower establish connection, obtain the original of the fire-fighting Smoke prevention blower
Real time execution parameter；The fire-fighting Smoke prevention blower Internet of Things adapter handles the original real time execution parameter, obtains
The real time execution parameter in the status data；
And/or the fire-fighting Smoke prevention blower Internet of Things adapter passes through the biography that is mounted on around the fire-fighting Smoke prevention blower
Sensor obtains the original ambient condition information of the fire-fighting Smoke prevention blower；The fire-fighting Smoke prevention blower Internet of Things adapter is to described
Original ambient condition information is handled, and the field data of the ambient enviroment in the status data is obtained.
Super high-rise building long distance high efficiency smoke-exhaust fire monitoring method of the present invention is further preferred, the long distance high efficiency smoke-exhaust fire
Method further includes fire-fighting Smoke prevention blower active automatic constant pressure control: the week of fire-fighting Smoke prevention blower sensor acquisition fire-fighting Smoke prevention blower
After the field data of collarette border, by the present situation feedback to fire-fighting Smoke prevention blower automatic constant pressure device, the frequency conversion of internal PID controller
Device receives control instruction and sensor feedback signal from programmable logic device, is controlled by the adjusting of PID controller
The output of frequency converter starts fire-fighting Smoke prevention blower by frequency converter and automatically adjusts airflow pressure.
Super high-rise building long distance high efficiency smoke-exhaust fire monitoring method of the present invention is further preferred, and the programmable controller is
The hinge of entire fire-fighting fume-resisting system automatic constant pressure device control, reaches frequency conversion after handling by programmable logic device program
Device, determines the given frequency of frequency converter, while reading the parameter of frequency converter, the specific stream that programmable controller is communicated with frequency converter
Journey includes:
S1: initializing status register, sends call frame；
S2: receiving whether character is call frame, is to go to S3, otherwise goes to S9；
S3: receiving whether character is call frame, is to go to S6, otherwise goes to S4；
S4: receiving whether character is ACK response, is to go to S7, otherwise goes to S5；
S5: receiving whether character is END response, is to go to S8, otherwise goes to S9；
S6: frame head is sent；
S7: data are sent；
S8: frame end mark is sent；
S9: error handle；
S10: next frame waits, and returns to S1.
Super high-rise building long distance high efficiency smoke-exhaust fire monitoring method of the present invention is further preferred, and the PID controller is adopted
Structural formula are as follows: Mn=MPn+MIn+MDn, wherein Mn is the calculated value of the n-th sampling instant, and MPn is the n-th sampling instant
Proportional term value, MIn are the integral entry value of the n-th sampling instant, and MDn is the differential entry value of the n-th sampling instant.
Super high-rise building long distance high efficiency smoke-exhaust fire monitoring method of the present invention is further preferred, the PID controller control
Algorithm is the key that realize that fire-fighting fume-resisting system automatic constant-pressure adjusts airflow pressure and reaches energy-saving effect, and wind pressure error signal is
The object of pid algorithm processing, obtains frequency values after pid algorithm automatically adjusts, and frequency converter output corresponds to the three of the frequency values
Phase alternating current drives motor operating, so that wind pressure error gradually eliminates；
(1) basic principle
Output is adjusted by pid algorithm, is guaranteed that deviation e is zero, so that system is reached stable state, in systems, partially
Difference e is the difference of given value SP (desired value) and process variable PV (actual value), control principle formula based on following:
M (t)=Kce+Kc ∫ edt+Mo+Kcdedt
Wherein:
M (t) is the output of pid loop, is the function of time；
Kc is the gain of pid loop；
E is the input of pid loop, the i.e. difference of given value and process variable；
Mo is the initial value of pid loop output；
(2) discretization of pid algorithm
In order to allow digital computer to handle this control formula, continuous formula discrete must turn to the calculation of periodic sampling deviation
Formula could be used to calculate output valve, and the formula of digital computer processing is as follows:
Mn=Kcen+KI Σ 1nen+Mo+KD (en-en-1)
Wherein:
Mn is n-th of sampling instant pid loop output valve；
Kc is the gain of pid loop；
En is the deviation of n-th of sampling instant；
En-1 is the deviation of (n-1)th sampling instant, deviation preceding paragraph；
KI is the proportionality constant of integral term；
KD is the proportionality constant of differential term；
Mo is the initial value of pid loop output.
Since computer is since sampling first time, each deviation sampled value must calculate an output valve, therefore only
It needs to save and be worth before deviation before value and integral term, it can be with the above formula of abbreviation using the repeatability of computer disposal are as follows:
Mn=Kcen+KIen+MX+KD (en-en-1)
Wherein:
Mn is n-th of sampling instant pid loop output valve；
Kc is the gain of pid loop；
En is the deviation of n-th of sampling instant；
En-1 is the deviation of (n-1)th sampling instant, deviation preceding paragraph；
KI is the proportionality constant of integral term；
KD is the proportionality constant of differential term；
MX is the integral term of (n-1)th sampling instant, is worth before integral term.
A kind of super high-rise building long distance high efficiency smoke-exhaust fire management system for internet of things, comprising:
Fire-fighting Smoke prevention blower, for accordingly being controlled according to operating status of the control instruction to the fire-fighting Smoke prevention blower
System；
Fire-fighting Smoke prevention blower Internet of Things adapter, the fire-fighting Smoke prevention blower Internet of Things adapter, for obtaining described disappear
The status data of Smoke prevention blower, the status data include that the real-time running state data of fire-fighting Smoke prevention blower and fire-fighting are prevented
The ambient enviroment field data of cigarette blower；The fire-fighting Smoke prevention blower Internet of Things adapter is also used to flat by internet of things data cloud
The ambient enviroment field data of the real-time running state data of fire-fighting Smoke prevention blower and fire-fighting Smoke prevention blower is sent to object by platform
Working application platform；
Internet of things data cloud platform corresponding with fire-fighting Smoke prevention blower；
Internet of Things application platform corresponding with fire-fighting Smoke prevention blower, the Internet of Things application platform disappear for receiving with storage
The real-time running state data of Smoke prevention blower and the ambient enviroment field data of fire-fighting Smoke prevention blower, and to above-mentioned data into
Row big data analysis and processing, Internet of Things application platform generate control instruction according to above-mentioned data；The Internet of Things application platform
It is also used to that control instruction is sent to fire-fighting and is prevented by internet of things data cloud platform and fire-fighting Smoke prevention blower Internet of Things adapter
Cigarette blower, so that fire-fighting Smoke prevention blower is accordingly controlled according to operating status of the control instruction to fire-fighting Smoke prevention blower.
Super high-rise building long distance high efficiency smoke-exhaust fire management system for internet of things of the present invention is further preferred, the fire-fighting Smoke prevention
Blower Internet of Things adapter includes: acquisition module, processing module and interface module；
The acquisition module, for by on fire-fighting Smoke prevention blower control module or fire-fighting Smoke prevention controller of fan build
Vertical connection, obtains the original real time execution parameter of the fire-fighting Smoke prevention blower；
The processing module obtains in the status data for handling the original real time execution parameter
The real time execution parameter；And/or the acquisition module, it is also used to the heat by being mounted on around the fire-fighting Smoke prevention blower
Pump sensor obtains the original ambient condition information of the fire-fighting Smoke prevention blower；The processing module is also used to described original
Ambient condition information is handled, and the ambient condition information in the status data is obtained；
The interface module is connect for being successfully established between fire-fighting Smoke prevention blower, and the connection includes physical connection
And logical connection, the foundation of the logical connection are established according to preset agreement；The interface module is also used to pass through into
The connection that function is established obtains the fire-fighting Smoke prevention fan condition data.
Super high-rise building long distance high efficiency smoke-exhaust fire management system for internet of things of the present invention is further preferred, further includes automatic constant
Pressure device, the automatic constant pressure device are embedded in fire-fighting Smoke prevention blower, and the automatic constant pressure device includes internal PID controller
Frequency converter, programmable controller, fire-fighting Smoke prevention blower, frequency converter, PID controller constitute system closed loop link；Fire-fighting is anti-
After cigarette blower sensor obtains the ambient enviroment field data of fire-fighting Smoke prevention blower, by the present situation feedback to fire-fighting Smoke prevention blower
The frequency converter of automatic constant pressure device, internal PID controller receives control instruction and sensor feedback from programmable controller
Signal controls the output of frequency converter by the adjusting of PID controller, starts the automatic adjustment of fire-fighting Smoke prevention blower by frequency converter
Airflow pressure.
Super high-rise building long distance high efficiency smoke-exhaust fire management system for internet of things of the present invention is further preferred, the fire-fighting Smoke prevention
Blower sensor includes camera, temperature sensor, anemoclinograph, pressure sensor or infrared sensor.
The invention has the advantages that:
1, super high-rise building long distance high efficiency smoke-exhaust fire monitoring method and system of the present invention, can be in remote real-time monitoring point
The status data for the fire-fighting Smoke prevention blower that cloth is built in each floor and the ambient enviroment field data of fire-fighting Smoke prevention blower；With
Just learn and cope with the smoke-exhaust fire emergency rating of each floor building in advance in time.Fire-fighting can be understood in real time according to status data
The operating status of Smoke prevention blower simultaneously issues control instruction, does not need manually to carry out safety monitoring and failure to fire-fighting Smoke prevention blower
Detection, and fire-fighting Smoke prevention blower hidden danger can be found in time, it ensure that the safe operation of fire-fighting Smoke prevention blower, it can be achieved that real nothing
People guards operation.
2, super high-rise building long distance high efficiency smoke-exhaust fire monitoring method and system of the present invention, also design fire-fighting Smoke prevention blower master
Dynamic automatic constant pressure control: it is based on PID (proportional integral differential) closed loop frequency control, error-free Isobarically Control can be reached, simultaneously
Using PLC (programmable controller) organic assembling, accurate digital wind pressure value setting is realized, and have obviously on energy-saving effect
The constant-voltage equipment of raising is blown energy saving.
3, super high-rise building long distance high efficiency smoke-exhaust fire monitoring method and system of the present invention, due to using PID closed-loop control
The phenomenon that algorithm realizes continuous speed adjustment to motor, and pressure fan motor is not in stop and start repeatedly, improves the constant pressure control of air feed system
Precision processed reduces error.
4, super high-rise building long distance high efficiency smoke-exhaust fire monitoring method and system of the present invention, due to using frequency converter and PID
The mode that control algolithm combines optimizes motor real-time perfoming and adjusts the speed, compared with conventional open-loop control effect, energy-saving effect
On improve a lot, can be improved 20 percentage points or more.
In order to explain the structural features and functions of the invention more clearly, come with reference to the accompanying drawing with specific embodiment to its into
Row is described in detail.
Detailed description of the invention
Fig. 1 show super high-rise building long distance high efficiency smoke-exhaust fire monitoring flow chart of the present invention；
Fig. 2 show super high-rise building long distance high efficiency smoke-exhaust fire management system for internet of things modular structure signal of the present invention
Figure；
Fig. 3 show automatic constant pressure device modular structure schematic diagram of the present invention；
Fig. 4 show serial communication flow chart between PLC and frequency converter of the present invention.
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 is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Refering to attached Fig. 1 to Fig. 4.
Super high-rise building long distance high efficiency smoke-exhaust fire monitoring method provided in this embodiment, the long distance high efficiency smoke-exhaust fire side
Method includes the following:
(1), fire-fighting Smoke prevention blower Internet of Things adapter 20 obtains the fire-fighting Smoke prevention blower 10 for being distributed in each floor building
Status data, the status data include the real-time running state data and fire-fighting Smoke prevention blower 10 of fire-fighting Smoke prevention blower 10
Ambient enviroment field data；To learn the smoke-exhaust fire emergency rating for coping with each floor building in advance in time；
(2), fire-fighting Smoke prevention blower Internet of Things adapter 20 passes through internet of things data cloud platform 30 for fire-fighting Smoke prevention blower 10
Real-time running state data and the ambient enviroment field data of fire-fighting Smoke prevention blower 10 be sent to Internet of Things application platform 40；
(3), Internet of Things application platform 40 receive with store fire-fighting Smoke prevention blower 10 real-time running state data and disappear
The ambient enviroment field data of Smoke prevention blower 10, and big data analysis and processing are carried out to above-mentioned data, Internet of Things application is flat
Platform 40 generates control instruction according to above-mentioned data；
(4), Internet of Things application platform 40 is adapted to by internet of things data cloud platform 30 and fire-fighting Smoke prevention blower Internet of Things
Control instruction is sent to fire-fighting Smoke prevention blower 10 by device 20, so that fire-fighting Smoke prevention blower 10 is according to control instruction to fire-fighting Smoke prevention
The operating status of blower 10 is accordingly controlled.
Super high-rise building long distance high efficiency smoke-exhaust fire monitoring method of the present invention is further preferred, the fire-fighting Smoke prevention blower object
Networking adapter obtain fire-fighting Smoke prevention blower status data include: the fire-fighting Smoke prevention blower Internet of Things adapter by with disappear
Control module or fire-fighting Smoke prevention controller of fan on Smoke prevention blower establish connection, obtain the original of the fire-fighting Smoke prevention blower
Real time execution parameter；The fire-fighting Smoke prevention blower Internet of Things adapter handles the original real time execution parameter, obtains
The real time execution parameter in the status data；
And/or the fire-fighting Smoke prevention blower Internet of Things adapter 20 is by being mounted on around the fire-fighting Smoke prevention blower 10
Sensor 103 obtain the original ambient condition information of the fire-fighting Smoke prevention blower 10；The fire-fighting Smoke prevention blower Internet of Things is suitable
Orchestration 20 handles the original ambient condition information, obtains the field data of the ambient enviroment in the status data.
The long distance high efficiency smoke-exhaust fire method further includes fire-fighting Smoke prevention blower active automatic constant pressure control: fire-fighting Smoke prevention blower
After sensor 103 obtains the ambient enviroment field data of fire-fighting Smoke prevention blower 10, by the present situation feedback to fire-fighting Smoke prevention blower
10 automatic constant pressure devices 104, the frequency converter 105 of internal PID controller receive control instruction from programmable controller 106 and
103 feedback signal of sensor is controlled the output of frequency converter 105 by the adjusting of PID controller, is started by frequency converter 105
Fire-fighting Smoke prevention blower 10 automatically adjusts airflow pressure.
The programmable controller 106 is the hinge that entire fire-fighting fume-resisting system automatic constant pressure device 104 controls, by can
Frequency converter 105 is reached after the processing of 106 program of programmable controller, determines the given frequency of frequency converter 105, while reading frequency converter
105 parameter, the detailed process that programmable controller 106 is communicated with frequency converter 105 include:
S1: initializing status register, sends call frame；
S2: receiving whether character is call frame, is to go to S3, otherwise goes to S9；
S3: receiving whether character is call frame, is to go to S6, otherwise goes to S4；
S4: receiving whether character is ACK response, is to go to S7, otherwise goes to S5；
S5: receiving whether character is END response, is to go to S8, otherwise goes to S9；
S6: frame head is sent；
S7: data are sent；
S8: frame end mark is sent；
S9: error handle；
S10: next frame waits, and returns to S1.
Structural formula used by the PID controller are as follows: Mn=MPn+MIn+MDn, wherein Mn is the n-th sampling instant
Calculated value, MPn are the proportional term value of the n-th sampling instant, and MIn is the integral entry value of the n-th sampling instant, and MDn is the n-th sampling instant
Differential entry value.
The PID controller control algolithm is to realize that fire-fighting fume-resisting system automatic constant-pressure adjusts airflow pressure and reaches energy conservation
The key of effect, wind pressure error signal are the objects of pid algorithm processing, and frequency values, frequency conversion are obtained after pid algorithm automatically adjusts
Device output corresponds to the three-phase alternating current of the frequency values, motor operating is driven, so that wind pressure error gradually eliminates；
(1) basic principle
Output is adjusted by pid algorithm, is guaranteed that deviation e is zero, so that system is reached stable state, in systems, partially
Difference e is the difference of given value SP (desired value) and process variable PV (actual value), control principle formula based on following:
M (t)=Kce+Kc ∫ edt+Mo+Kcdedt
Wherein:
M (t) is the output of pid loop, is the function of time；
Kc is the gain of pid loop；
E is the input of pid loop, the i.e. difference of given value and process variable；
Mo is the initial value of pid loop output；
(2) discretization of pid algorithm
In order to allow digital computer to handle this control formula, continuous formula discrete must turn to the calculation of periodic sampling deviation
Formula could be used to calculate output valve, and the formula of digital computer processing is as follows:
Mn=Kcen+KI Σ 1nen+Mo+KD (en-en-1)
Wherein:
Mn is n-th of sampling instant pid loop output valve；
Kc is the gain of pid loop；
En is the deviation of n-th of sampling instant；
En-1 is the deviation of (n-1)th sampling instant, deviation preceding paragraph；
KI is the proportionality constant of integral term；
KD is the proportionality constant of differential term；
Mo is the initial value of pid loop output.
Since computer is since sampling first time, each deviation sampled value must calculate an output valve, therefore only
It needs to save and be worth before deviation before value and integral term, it can be with the above formula of abbreviation using the repeatability of computer disposal are as follows:
Mn=Kcen+KIen+MX+KD (en-en-1)
Wherein:
Mn is n-th of sampling instant pid loop output valve；
Kc is the gain of pid loop；
En is the deviation of n-th of sampling instant；
En-1 is the deviation of (n-1)th sampling instant, deviation preceding paragraph；
KI is the proportionality constant of integral term；
KD is the proportionality constant of differential term；
MX is the integral term of (n-1)th sampling instant, is worth before integral term.
A kind of super high-rise building long distance high efficiency smoke-exhaust fire management system for internet of things, comprising:
Fire-fighting Smoke prevention blower 10, it is corresponding for being carried out according to operating status of the control instruction to the fire-fighting Smoke prevention blower 10
Control；
Fire-fighting Smoke prevention blower Internet of Things adapter 20, the fire-fighting Smoke prevention blower Internet of Things adapter 20, for obtaining
State the status data of fire-fighting Smoke prevention blower 10, the status data include the real-time running state data of fire-fighting Smoke prevention blower 10 with
And the ambient enviroment field data of fire-fighting Smoke prevention blower 10；The fire-fighting Smoke prevention blower Internet of Things adapter 20 is also used to pass through object
Networking data cloud platform 30 is by the real-time running state data of fire-fighting Smoke prevention blower 10 and surrounding's ring of fire-fighting Smoke prevention blower 10
Border field data is sent to Internet of Things application platform 40；
Internet of things data cloud platform 30 corresponding with fire-fighting Smoke prevention blower 10；
Internet of Things application platform 40 corresponding with fire-fighting Smoke prevention blower 10, the Internet of Things application platform 40 for receive with
The real-time running state data of fire-fighting Smoke prevention blower 10 and the ambient enviroment field data of fire-fighting Smoke prevention blower 10 are stored, and right
Above-mentioned data carry out big data analysis and processing, and Internet of Things application platform 40 generates control instruction according to above-mentioned data；The object
Working application platform 40 is also used to control by internet of things data cloud platform 30 and fire-fighting Smoke prevention blower Internet of Things adapter 20
System instruction is sent to fire-fighting Smoke prevention blower 10, so that fire-fighting Smoke prevention blower 10 is according to control instruction to fire-fighting Smoke prevention blower 10
Operating status is accordingly controlled.
The fire-fighting Smoke prevention blower Internet of Things adapter 20 includes: acquisition module 202, processing module 203 and interface module
201；
The acquisition module 202, for by with the control module or fire-fighting Smoke prevention blower control on fire-fighting Smoke prevention blower 10
Device 102 processed establishes connection, obtains the original real time execution parameter of the fire-fighting Smoke prevention blower 10；
The processing module 203 obtains in the status data for handling the original real time execution parameter
The real time execution parameter；And/or the acquisition module 202, it is also used to by being mounted on described fire-fighting Smoke prevention blower 10 weeks
The heat pump sensor 103 enclosed obtains the original ambient condition information of the fire-fighting Smoke prevention blower 10；The processing module 203, also
For handling the original ambient condition information, the ambient condition information in the status data is obtained；
The interface module 201 is connect for being successfully established between fire-fighting Smoke prevention blower 10, and the connection includes physics
Connection and logical connection, the foundation of the logical connection are established according to preset agreement；The interface module 201, is also used
10 status data of fire-fighting Smoke prevention blower is obtained in the connection by being successfully established.
Super high-rise building long distance high efficiency smoke-exhaust fire management system for internet of things of the present invention, further includes automatic constant pressure device 104,
The automatic constant pressure device 104 is embedded in fire-fighting Smoke prevention blower 10, and the automatic constant pressure device 104 is controlled including internal PID
The frequency converter 105 of device, programmable controller 106, fire-fighting Smoke prevention blower 10, frequency converter 105, PID controller constitute closing for system
Ring link；It is after fire-fighting Smoke prevention blower sensor 103 obtains the ambient enviroment field data of fire-fighting Smoke prevention blower, the present situation is anti-
It is fed to fire-fighting Smoke prevention blower automatic constant pressure device 104, the frequency converter 105 of internal PID controller, which receives, comes from programmable controller
106 103 feedback signal of control instruction and sensor controls the output of frequency converter 106 by the adjusting of PID controller, leads to
It crosses frequency converter 106 and starts the automatic adjustment airflow pressure of fire-fighting Smoke prevention blower 10.
The fire-fighting Smoke prevention blower sensor 103 includes camera, temperature sensor, anemoclinograph, pressure sensor
Or infrared sensor.
The design focal point of super high-rise building long distance high efficiency smoke-exhaust fire monitoring method and system of the present invention is:
1, the status data and fire-fighting Smoke prevention wind for being distributed in the fire-fighting Smoke prevention blower of each floor building can be monitored in real time
The ambient enviroment field data of machine；To learn and cope with the smoke-exhaust fire emergency rating of each floor building in advance in time.It can be with
Understand the operating status of fire-fighting Smoke prevention blower in real time according to status data and issue control instruction, does not need manually to fire-fighting Smoke prevention
Blower carries out safety monitoring and fault detection, and can find fire-fighting Smoke prevention blower hidden danger in time, ensure that fire-fighting Smoke prevention blower
Safe operation, it can be achieved that really left unguarded operation.
2, it designs fire-fighting Smoke prevention blower active automatic constant pressure control: being based on PID (proportional integral differential) closed loop frequency control,
Error-free Isobarically Control can be reached, while utilizing PLC (programmable controller) organic assembling, realize accurate digital wind pressure
Value setting, and the constant-voltage equipment air-supply energy conservation being significantly improved on energy-saving effect.
3, continuous speed adjustment is realized to motor using PID closed loop control algorithm, pressure fan motor is not in stop and start repeatedly
Phenomenon improves the Isobarically Control precision of air feed system, reduces error.
4, in such a way that frequency converter and pid control algorithm combine, motor real-time perfoming is optimized and is adjusted the speed, is opened with tradition
Ring control effect compares, and improves a lot on energy-saving effect, can be improved 20 percentage points or more.
The above described is only a preferred embodiment of the present invention, being not intended to limit the present invention in any form.Appoint
What those skilled in the art, without departing from the scope of the technical proposal of the invention, all using the side of the disclosure above
Method and technology contents make many possible changes and modifications to technical solution of the present invention, or are revised as the equivalent reality of equivalent variations
Apply example.Therefore anything that does not depart from the technical scheme of the invention, equivalent change made by shape according to the present invention, construction and principle
Change, should all be covered by protection scope of the present invention.
Claims (10)
1. a kind of super high-rise building long distance high efficiency smoke-exhaust fire monitoring method, which is characterized in that the long distance high efficiency smoke-exhaust fire side
Method includes the following:
(1), fire-fighting Smoke prevention blower Internet of Things adapter obtains the status data for being distributed in the fire-fighting Smoke prevention blower of each floor building,
The status data includes the real-time running state data of fire-fighting Smoke prevention blower and the ambient enviroment scene of fire-fighting Smoke prevention blower
Data；To learn and cope with the smoke-exhaust fire emergency rating of each floor building in advance in time；
(2), fire-fighting Smoke prevention blower Internet of Things adapter passes through internet of things data cloud platform for the real time execution of fire-fighting Smoke prevention blower
The ambient enviroment field data of status data and fire-fighting Smoke prevention blower is sent to Internet of Things application platform；
(3), Internet of Things application platform receives the real-time running state data and fire-fighting Smoke prevention wind with storage fire-fighting Smoke prevention blower
The ambient enviroment field data of machine, and big data analysis and processing are carried out to above-mentioned data, Internet of Things application platform is according to above-mentioned
Data generate control instruction；
(4), Internet of Things application platform will be controlled by internet of things data cloud platform and fire-fighting Smoke prevention blower Internet of Things adapter
Instruction is sent to fire-fighting Smoke prevention blower, so that fire-fighting Smoke prevention blower is according to control instruction to the operating status of fire-fighting Smoke prevention blower
Accordingly controlled.
2. super high-rise building long distance high efficiency smoke-exhaust fire monitoring method according to claim 1, which is characterized in that the fire-fighting
The status data that Smoke prevention blower Internet of Things adapter obtains fire-fighting Smoke prevention blower includes: the fire-fighting Smoke prevention blower Internet of Things adaptation
Device by on fire-fighting Smoke prevention blower control module or fire-fighting Smoke prevention controller of fan establish connection, obtain the fire-fighting Smoke prevention
The original real time execution parameter of blower；The fire-fighting Smoke prevention blower Internet of Things adapter carries out the original real time execution parameter
Processing, obtains the real time execution parameter in the status data；
And/or the fire-fighting Smoke prevention blower Internet of Things adapter passes through the sensor that is mounted on around the fire-fighting Smoke prevention blower
Obtain the original ambient condition information of the fire-fighting Smoke prevention blower；The fire-fighting Smoke prevention blower Internet of Things adapter is to described original
Ambient condition information is handled, and the field data of the ambient enviroment in the status data is obtained.
3. super high-rise building long distance high efficiency smoke-exhaust fire monitoring method according to claim 1, which is characterized in that the long-range height
Imitating smoke-exhaust fire method further includes fire-fighting Smoke prevention blower active automatic constant pressure control: it is anti-that fire-fighting Smoke prevention blower sensor obtains fire-fighting
After the ambient enviroment field data of cigarette blower, by the present situation feedback to fire-fighting Smoke prevention blower automatic constant pressure device, internal PID control
The frequency converter of device processed receives control instruction and sensor feedback signal from programmable logic device, passes through PID controller
It adjusts to control the output of frequency converter, fire-fighting Smoke prevention blower is started by frequency converter and automatically adjusts airflow pressure.
4. super high-rise building long distance high efficiency smoke-exhaust fire monitoring method according to claim 3, which is characterized in that described to compile
Range controller is the hinge of entire fire-fighting fume-resisting system automatic constant pressure device control, after being handled by programmable logic device program
Frequency converter is reached, determines the given frequency of frequency converter, while reading the parameter of frequency converter, programmable controller is communicated with frequency converter
Detailed process include:
S1: initializing status register, sends call frame；
S2: receiving whether character is call frame, is to go to S3, otherwise goes to S9；
S3: receiving whether character is call frame, is to go to S6, otherwise goes to S4；
S4: receiving whether character is ACK response, is to go to S7, otherwise goes to S5；
S5: receiving whether character is END response, is to go to S8, otherwise goes to S9；
S6: frame head is sent；
S7: data are sent；
S8: frame end mark is sent；
S9: error handle；
S10: next frame waits, and returns to S1.
5. super high-rise building long distance high efficiency smoke-exhaust fire monitoring method according to claim 3, which is characterized in that the PID
Structural formula used by controller are as follows: Mn=MPn+MIn+MDn, wherein Mn is the calculated value of the n-th sampling instant, MPn n-th
The proportional term value of sampling instant, MIn are the integral entry value of the n-th sampling instant, and MDn is the differential entry value of the n-th sampling instant.
6. super high-rise building long distance high efficiency smoke-exhaust fire monitoring method according to claim 3, which is characterized in that the PID
Controller control algolithm is the key that realize that fire-fighting fume-resisting system automatic constant-pressure adjusts airflow pressure and reaches energy-saving effect, wind pressure
Error signal is the object of pid algorithm processing, frequency values is obtained after pid algorithm automatically adjusts, frequency converter output corresponds to should
The three-phase alternating current of frequency values drives motor operating, so that wind pressure error gradually eliminates；
(1) basic principle
Output is adjusted by pid algorithm, guarantees that deviation e is zero, system is made to reach stable state, in systems, deviation e
It is the difference of given value SP (desired value) and process variable PV (actual value), control principle formula based on following:
M (t)=Kce+Kc ∫ edt+Mo+Kcdedt
Wherein:
M (t) is the output of pid loop, is the function of time；
Kc is the gain of pid loop；
E is the input of pid loop, the i.e. difference of given value and process variable；
Mo is the initial value of pid loop output；
(2) discretization of pid algorithm
In order to allow digital computer to handle this control formula, continuous formula discrete must turn to periodic sampling deviation formula,
Output valve could be used to calculate, the formula of digital computer processing is as follows:
Mn=Kcen+KI Σ 1nen+Mo+KD (en-en-1)
Wherein:
Mn is n-th of sampling instant pid loop output valve；
Kc is the gain of pid loop；
En is the deviation of n-th of sampling instant；
En-1 is the deviation of (n-1)th sampling instant, deviation preceding paragraph；
KI is the proportionality constant of integral term；
KD is the proportionality constant of differential term；
Mo is the initial value of pid loop output.
Since computer is since sampling first time, each deviation sampled value must calculate an output valve, therefore only need
It is worth before value and integral term before preservation deviation, it can be with the above formula of abbreviation using the repeatability of computer disposal are as follows:
Mn=Kcen+KIen+MX+KD (en-en-1)
Wherein:
Mn is n-th of sampling instant pid loop output valve；
Kc is the gain of pid loop；
En is the deviation of n-th of sampling instant；
En-1 is the deviation of (n-1)th sampling instant, deviation preceding paragraph；
KI is the proportionality constant of integral term；
KD is the proportionality constant of differential term；
MX is the integral term of (n-1)th sampling instant, is worth before integral term.
7. one kind is according to claim 1 to the super high-rise building long distance high efficiency smoke-exhaust fire Internet of Things management of one of 6 the methods
System characterized by comprising
Fire-fighting Smoke prevention blower, for accordingly being controlled according to operating status of the control instruction to the fire-fighting Smoke prevention blower；
Fire-fighting Smoke prevention blower Internet of Things adapter, the fire-fighting Smoke prevention blower Internet of Things adapter are anti-for obtaining the fire-fighting
The status data of cigarette blower, the status data include the real-time running state data and fire-fighting Smoke prevention wind of fire-fighting Smoke prevention blower
The ambient enviroment field data of machine；The fire-fighting Smoke prevention blower Internet of Things adapter is also used to will by internet of things data cloud platform
The real-time running state data of fire-fighting Smoke prevention blower and the ambient enviroment field data of fire-fighting Smoke prevention blower are sent to Internet of Things
Application platform；
Internet of things data cloud platform corresponding with fire-fighting Smoke prevention blower；
Internet of Things application platform corresponding with fire-fighting Smoke prevention blower, the Internet of Things application platform are anti-for receiving and storing fire-fighting
The real-time running state data of cigarette blower and the ambient enviroment field data of fire-fighting Smoke prevention blower, and above-mentioned data are carried out big
Data analysis and processing, Internet of Things application platform generate control instruction according to above-mentioned data；The Internet of Things application platform is also used
In control instruction is sent to fire-fighting Smoke prevention wind by internet of things data cloud platform and fire-fighting Smoke prevention blower Internet of Things adapter
Machine, so that fire-fighting Smoke prevention blower is accordingly controlled according to operating status of the control instruction to fire-fighting Smoke prevention blower.
8. super high-rise building long distance high efficiency smoke-exhaust fire management system for internet of things according to claim 7, which is characterized in that
The fire-fighting Smoke prevention blower Internet of Things adapter includes: acquisition module, processing module and interface module；
The acquisition module, for by on fire-fighting Smoke prevention blower control module or fire-fighting Smoke prevention controller of fan establish connect
It connects, obtains the original real time execution parameter of the fire-fighting Smoke prevention blower；
The processing module obtains described in the status data for handling the original real time execution parameter
Real time execution parameter；And/or the acquisition module, it is also used to pass by the heat pump being mounted on around the fire-fighting Smoke prevention blower
Sensor obtains the original ambient condition information of the fire-fighting Smoke prevention blower；The processing module is also used to the original surrounding
Environmental information is handled, and the ambient condition information in the status data is obtained；
The interface module is connect for being successfully established between fire-fighting Smoke prevention blower, it is described connection include physical connection and
The foundation of logical connection, the logical connection is established according to preset agreement；The interface module is also used to by successfully building
The vertical connection obtains the fire-fighting Smoke prevention fan condition data.
9. super high-rise building long distance high efficiency smoke-exhaust fire management system for internet of things according to claim 7, which is characterized in that
It further include automatic constant pressure device, the automatic constant pressure device is embedded in fire-fighting Smoke prevention blower, and the automatic constant pressure device includes
The frequency converter of internal PID controller, programmable controller, fire-fighting Smoke prevention blower, frequency converter, PID controller constitute closing for system
Ring link；After fire-fighting Smoke prevention blower sensor obtains the ambient enviroment field data of fire-fighting Smoke prevention blower, the present situation is fed back
To fire-fighting Smoke prevention blower automatic constant pressure device, the frequency converter of internal PID controller receives the control from programmable controller and refers to
Order and sensor feedback signal control the output of frequency converter by the adjusting of PID controller, and it is anti-to start fire-fighting by frequency converter
Cigarette blower automatically adjusts airflow pressure.
10. super high-rise building long distance high efficiency smoke-exhaust fire management system for internet of things according to claim 7, feature exist
In the fire-fighting Smoke prevention blower sensor includes camera, temperature sensor, anemoclinograph, pressure sensor or infrared biography
Sensor.
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