CN109883005A - Terminal tail end air conditioner device intelligence control system, method, medium and equipment - Google Patents
Terminal tail end air conditioner device intelligence control system, method, medium and equipment Download PDFInfo
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- CN109883005A CN109883005A CN201910233350.5A CN201910233350A CN109883005A CN 109883005 A CN109883005 A CN 109883005A CN 201910233350 A CN201910233350 A CN 201910233350A CN 109883005 A CN109883005 A CN 109883005A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Abstract
The invention discloses a kind of terminal tail end air conditioner device intelligence control system, method, medium and equipment, which includes local server, control module, adjustment module, sensor module and image capture module, and image capture module acquires image information；Sensor module measures room temperature and fresh wind port wind speed；Adjustment module controls chilled-water flow, fresh air volume, and control electric machine frequency adjusts air output；Local server is to Flight Information online query and acquisition, cooling supply zone marker, passenger image target detection and people flow rate statistical, parameter calculate and storage, and control strategy is transmitted to control module；Control module receiving sensor module data, is communicated with server, carries out dynamic regulation to adjustment module；The present invention has merged dynamic airport flight information and flow of the people information in the control of tail end air conditioner equipment, and air conditioner energy saving optimal control is carried out under the premise of guaranteeing Studies of Human Body Heat comfort, realizes the control of terminal tail end air conditioner equipment subregion Intelligent Dynamic.
Description
Technical field
The present invention relates to the technical fields such as central air-conditioning energy, artificial intelligence, and in particular to a kind of terminal tail end air conditioner
Device intelligence control system, terminal tail end air conditioner device intelligence control method, medium and equipment.
Background technique
Important component of the civil airport terminal as large public building, have construction area is wide, window-wall ratio is big,
The features such as flow of the people degree of fluctuation is high, the service time is long, high-energy equipment is more, unit area energy consumption are significantly larger than other large sizes
Public building possesses huge energy-saving potential.Central air conditioner system uses energy equipment as the main of terminal, usually accounts for terminal
40% or more of total energy consumption is built, is the energy-efficient key object of air terminal building.
Currently, the power-saving technology of large public building central air conditioner cold source has been gradually improved, but tail end air conditioner equipment
Optimal control for energy saving is but often despised by people, and the further promotion of building energy conservation amount is hindered.Civil airport is as large-scale
Transport hub, terminal can divide different cooling supply regions, and end-equipment consider different cooling supply regions when running
Actual conditions, but due to lacking corresponding energy-saving control system and method, difference cooling supply area distal air-conditioning equipment is adopted more at present
With unified manual adjustment mode, do not consider the variation of Flight Information, most of region exist " booting shutdown too early is not in time ",
The problems such as " nobody, which waits, but continues cooling supply ", the variation of flow of the people is not considered, different zones fresh air volume is unified silent according to maximum
Recognize air quantity supply, so not only causes energy resources waste serious, human thermal comfort is also produced bigger effect.
With the development of the new technologies such as artificial intelligence, deep learning, Internet of Things, flight status and flow of the people are greatly reduced
It is dynamic to the progress subregion intelligence of terminal difference cooling supply area distal air-conditioning equipment to merge these information for the acquisition difficulty of information
State control, has a very important significance for further saving central air conditioner system energy consumption.
Summary of the invention
To overcome defect of the existing technology, the present invention provides a kind of terminal tail end air conditioner device intelligence control system
It unites, dynamic airport flight information and flow of the people information has been merged in the control of tail end air conditioner equipment, by artificial intelligence, depth
The technologies such as habit, Internet of Things are combined with air conditioner energy saving optimal control, under the premise of guaranteeing Studies of Human Body Heat comfort, realize boat station
The control of building tail end air conditioner equipment subregion Intelligent Dynamic.
The second object of the present invention is to provide a kind of terminal tail end air conditioner device intelligence control method；
The third object of the present invention is to provide a kind of storage medium；
The fourth object of the present invention is to provide a kind of calculating equipment.
In order to achieve the above object, the invention adopts the following technical scheme:
The present invention provides a kind of terminal tail end air conditioner device intelligence control system, comprising: local server, control mould
Block, adjustment module, sensor module and image capture module,
Described image acquisition module is connect with local server, and the local server is connect with control module, the control
Molding block is connect with adjustment module, sensor module,
Described image acquisition module includes camera module, for acquiring the image information in each cooling supply region；
The local server is examined for Flight Information online query and acquisition, cooling supply zone marker, passenger image target
It surveys and calculates and store with people flow rate statistical, parameter, and control strategy is transmitted to control module；
The sensor module includes radio temperature sensor and fresh air air velocity transducer, and the radio temperature sensor is used
In measurement each cooling supply region room temperature, the fresh air air velocity transducer is for measuring fresh wind port wind speed；
The control module includes temperature control modules and fresh air quantity control module, the interior for receiving sensor module
Temperature and fresh air air speed data, transmission measurement data to local server, and the control strategy of local server is received, to adjusting
Module carries out dynamic regulation；
The adjustment module includes multiple chilled water water valves, frequency converter and new air-valve, the chilled water water valve control freezing
Water flow, the Frequency Converter Control blower frequency adjust air output, and the new air-valve controls fresh air volume.
The local server includes Flight Information acquiring unit, cooling supply zone marker list as a preferred technical solution,
Member, figure information detect recognition unit, parameter set unit, control strategy processing unit；
The Flight Information acquiring unit: Flight Information is extracted in webpage information and is stored in local server；
The cooling supply zone marker unit: feature mark is done to boarding gate according to flight status, counts each cooling supply region
The feature of boarding gate marks, and obtains cooling supply provincial characteristics label；
The figure information detects recognition unit: carrying out image object to passenger in the cooling supply region of effective feature tag
Detection identifies the face quantity in image, obtains the people information in corresponding cooling supply region；
The parameter set unit: setting system parameter message, including tail end air conditioner equipment initial opening time, each confession
The interval time that room temperature setting value, each cooling supply region fresh air volume to setting value, the data in cold-zone domain acquire；
The control strategy processing unit: it according to the Current Temperatures information and fresh wind port wind speed information of collection, generates opposite
The temperature regulation answered and fresh air volume regulating strategy.
In order to reach above-mentioned second purpose, the invention adopts the following technical scheme:
A kind of terminal tail end air conditioner device intelligence control method, includes the following steps:
S1: local server inquiry obtains the initial Flight Information in different cooling supply regions, with retail shop's business hours information into
Start of line time order and function compares, and sets the tail end air conditioner equipment initial opening time in corresponding cooling supply region；
S2: the boarding gate Flight Information in local server timing acquisition difference cooling supply region, according to flight status to stepping on
Machine mouth does feature mark, distinguishes whether someone waits；
S3: local server counts the feature mark of each cooling supply region boarding gate, obtains cooling supply provincial characteristics label, root
The room temperature setting value in each cooling supply region is adjusted according to cooling supply provincial characteristics label；
S4: according to cooling supply provincial characteristics label, the cooling supply region for marking someone to wait, image capture module waits to someone
Cooling supply region carry out Image Acquisition, and image information is transmitted to local server；
S5: local server carries out image object detection, identification figure to passenger in cooling supply region using deep learning algorithm
Face quantity as in obtains the people information P in corresponding cooling supply region, by P multiplied by W (m3/ (h people)) it obtains corresponding to for cold-zone
The fresh air volume setting value per hour in domain；
S6: each cooling supply region room temperature is adjusted to setting value by temperature control modules, passes through fresh air quantity control module
Each cooling supply region fresh air volume is adjusted to setting value；
S7: each cooling supply region last bit flight status is inquired and obtained to local server, if boarding gate nobody wait, close
The tail end air conditioner equipment in corresponding cooling supply region；
S8: step S2-S7 is repeated, until all tail end air conditioner equipment are turned off.
Inquiry described in step S1 obtains the Flight Information in different cooling supply regions, specific steps as a preferred technical solution,
Are as follows:
S11: the Flight Information of terminal on the day of related web site inquiry, Flight Information includes initial Flight Information, last bit
Flight Information, flight number, the departure time, boarding gate and flight status；
S12: in the webpage information and locally downloading server inquired by web crawlers crawl；
S13: Flight Information is extracted in webpage information by regular expression and is stored in local server.
Local server described in step S5 is using deep learning algorithm to multiplying in cooling supply region as a preferred technical solution,
Visitor carries out image object detection, which is characterized in that it is described that specific step is as follows:
S51: image capture module obtains cooling supply region original image information；
S52: original image information extracts different candidate region frames by selective search, and local server will own
Candidate region frame zooms to fixed size, and split into grid；
S53: the image in the frame of candidate region passes through convolutional neural networks model extraction characteristics of image one by one；Convolutional Neural net
Classifier in network classifies to the characteristics of image of extraction, obtains the candidate region for belonging to portrait；
S54: statistics portrait candidate frame quantity obtains the flow of the people data in cooling supply region.
Each cooling supply region room temperature is adjusted by temperature control modules described in step S7 as a preferred technical solution,
To setting value, it is described that specific step is as follows:
Radio temperature sensor acquires each cooling supply region room temperature point data and is transmitted in temperature control modules, calculates
Average indoor temperature TR, judge that cooling supply region current indoor temperature whether within the scope of set temperature, that is, judges TS-et≤TR≤TS
+et, wherein TSFor desired temperature, etFor temperature deviation, terminate the regulation of cooling supply regional temperature if reaching sets requirement, it is no
Then enter next step；
If cooling supply region current indoor temperature is higher than set temperature, increases chilled water water valve aperture and improve chilled water flow
Amount, collects each cooling supply region room temperature point data, and calculate average indoor temperature again again after the interval time of setting
TR, terminate temperature regulation if having met sets requirement, chilled water water valve aperture otherwise continued growing, until reaching chilled water water
The upper limit value of valve opening, into next step；
If cooling supply region current indoor temperature is still higher than set temperature, improves frequency converter frequency and increase tail end air conditioner equipment
Air output is collected for each room temperature point data in cold-zone domain again again after the interval time of setting and calculates indoor average temperature
Spend TR, terminate temperature regulation if having met sets requirement, otherwise continue to improve frequency converter frequency, until reaching frequency converter frequency
Upper limit value；
If cooling supply region current indoor temperature is lower than set temperature, reduces frequency converter frequency reduction tail end air conditioner equipment and send
Air quantity is collected for each room temperature point data in cold-zone domain again again after the interval time of setting and calculates average indoor temperature
TR, terminate temperature regulation if having met sets requirement, otherwise continue to reduce frequency converter frequency, until reaching frequency converter frequency
Lower limit value, into next step；
If cooling supply region current indoor temperature is still below set temperature, reduces chilled water water valve aperture and reduce chilled water flow
Amount, is collected for each room temperature point data in cold-zone domain again again after the interval time of setting and calculates average indoor temperature
TR, terminate temperature regulation if having met sets requirement, otherwise continue to reduce chilled water water valve aperture, until reaching chilled water water
The lower limit value of valve opening.
Each cooling supply region fresh air volume is adjusted by fresh air quantity control module described in step S7 as a preferred technical solution,
To setting value, it is described that specific step is as follows:
The fresh wind port wind speed W in fresh air air velocity transducer acquisition cooling supply regionIAnd it is transmitted to fresh air quantity control module, with stylish
Boiler pressure control module obtains fresh air valve opening data and is converted into fresh air open area SI, calculate current time fresh air volume Af=WI×
SI, judge AfWhether within the scope of setting fresh air volume, A is judgedS-ef≤Af≤AS+ef, wherein ASFor fresh air volume setting value, efIt is new
Air quantity difference terminates fresh air volume regulation if the fresh air volume range for reaching setting, otherwise enters next step；
If the current fresh air volume in cooling supply region increases fresh air valve opening and increases fresh air open area, warp lower than setting fresh air volume
The fresh air volume for calculating cooling supply region after spending the interval time of setting again, terminates fresh air volume if the fresh air volume range for having met setting
Regulation, otherwise continues growing fresh air valve opening, until reaching the fresh air valve opening upper limit, into next step；
If the current fresh air volume in cooling supply region is still below setting fresh air volume, improves frequency converter frequency and increases fresh wind port wind speed,
The fresh air volume for calculating cooling supply region again after the interval time of setting terminates fresh air if the fresh air volume range for having met setting
Otherwise amount regulation continues to improve frequency converter frequency, until reaching the frequency converter frequency upper limit；
If the current fresh air volume in cooling supply region is higher than setting fresh air volume, reduces frequency converter frequency and reduce fresh wind port wind speed, warp
The fresh air volume for calculating cooling supply region after spending the interval time of setting again, terminates fresh air volume if the fresh air volume range for having met setting
Otherwise regulation continues to reduce frequency converter frequency, until reaching frequency converter frequency lower limit, into next step；
If the current fresh air volume in cooling supply region is still higher than setting fresh air volume, reduces fresh air valve opening and reduces fresh air open area,
The fresh air volume for calculating cooling supply region again after the interval time of setting terminates fresh air if the fresh air volume range for having met setting
Otherwise amount regulation continues to reduce fresh air valve opening, until reaching fresh air valve opening lower limit.
In order to reach above-mentioned third purpose, the invention adopts the following technical scheme:
A kind of storage medium, is stored with program, and above-mentioned terminal tail end air conditioner is realized when described program is executed by processor
Device intelligence control method.
In order to reach above-mentioned 4th purpose, the invention adopts the following technical scheme:
A kind of calculating equipment, including processor and for the memory of storage processor executable program, the processor
When executing the program of memory storage, above-mentioned terminal tail end air conditioner device intelligence control method is realized.
Compared with the prior art, the invention has the following advantages and beneficial effects:
(1) present invention carries out rationalization management to tail end air conditioner equipment using Flight Information and retail shop's business hours information,
It realizes each cooling supply area distal device intelligence switching on and shutting down, avoids the available machine time too early and the energy that generates too late of unused time is unrestrained
The problem of taking.
(2) present invention uses the dynamic Flight Information in the time to different cooling supply area distal air-conditioning equipments using terminal
Further progress fine-grained management and optimizing regulation, realize subregion at the phenomenon that avoiding the occurrence of " nobody wait but continue cooling supply "
Intelligent dynamic controls, and on the basis of guaranteeing indoor human body thermal comfort, further save tail end air conditioner equipment uses energy
Consumption.
(3) present invention realizes flow of the people real-time statistics using depth learning technology, each based on flow of the people information real-time optimization
The fresh air volume in cooling supply region sufficiently matches each area distal fresh air demand, avoids the waste of fresh air, relaxes meeting indoor human body heat
On the basis of adaptive, reduce the energy consumption of tail end air conditioner equipment.
Detailed description of the invention
Fig. 1 is 1 terminal tail end air conditioner device intelligence control system architecture figure of the embodiment of the present invention；
Fig. 2 is the capital equipment schematic diagram of Fig. 1 adjustment module and sensor module；
Fig. 3 is 2 terminal tail end air conditioner device intelligence control method flow chart of the embodiment of the present invention；
Fig. 4 is 2 temperature control modules work flow diagram of the embodiment of the present invention；
Fig. 5 is 2 fresh air quantity control module work flow chart of the embodiment of the present invention.
1- radio temperature sensor, 2- camera module, 3- new air-valve, 4- fresh air air velocity transducer, 5- surface air cooler, 6- wind
Machine, 7- chilled water water valve, 8- frequency converter.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Embodiment 1
As shown in Figure 1, the present embodiment provides a kind of terminal tail end air conditioner device intelligence control systems, which is characterized in that
It include: local server, control module, adjustment module, sensor module and image capture module；
In the present embodiment, described image acquisition module is connect by field network bus with local server, and described
Ground server is connected by interchanger, converter and control module, and the control module passes through fieldbus and adjustment module, biography
Sensor module is communicated；
In the present embodiment, described image acquisition module includes camera module 2, is mounted on the area that respectively waits, for acquiring
The image information in each cooling supply region；
In the present embodiment, the local server for Flight Information online query and acquisition, cooling supply zone marker, multiply
Objective image object detects and people flow rate statistical, parameter calculate and storage, and control strategy is carried out intelligent dynamically optimized rear biography
Transport to control module；
In the present embodiment, the sensor module includes multiple radio temperature sensors 1 and fresh air air velocity transducer 4,
As shown in Fig. 2, radio temperature sensor 1 is mounted on the area that respectively waits, for measuring each cooling supply region room temperature, fresh air wind speed is passed
Sensor 4 is mounted on fresh wind port, for measuring the wind speed of fresh wind port；
In the present embodiment, the control module includes temperature control modules and fresh air quantity control module, is passed for acquiring
The measurement data of sensor module carries out dynamic regulation to adjustment module to reach corresponding control and require, and receives local clothes
The control strategy and transmit measurement data to server that business device is set；
In the present embodiment, as shown in Fig. 2, adjustment module includes multiple chilled water water valves 7, frequency converter 8 and new air-valve 3,
Surface air cooler 5 and blower 6 in the present embodiment are the internal parts of wind cabinet, and surface air cooler 5 exchanges heat for chilled water and hot-air, blower
6 provide air mobilization dynamic, and chilled water water valve 7 is mounted at chilled water water pipe, for controlling the chilled water entered in surface air cooler 5
Flow, frequency converter 8 are mounted on by tail end air conditioner equipment, and for controlling 6 frequency of blower to adjust air output, new air-valve 3 is mounted on
At fresh air inlet, for controlling fresh air volume；
Embodiment 2
As shown in figure 3, the present embodiment also provides a kind of terminal tail end air conditioner device intelligence control method, including following steps
It is rapid:
(1) local server issues inquiry instruction, obtains the initial flight in each boarding gate and last bit Flight Information；
(1-1) local server issues inquiry instruction, the Flight Information of terminal on the day of airport authorities query site, letter
Breath mainly includes airline, flight number, the departure time, boarding gate, flight status, destination etc.；
(1-2) local server grabs the webpage information inquired by web crawlers and is downloaded in server；
(1-3) local server parses the content grabbed, required for being extracted in webpage information by regular expression
Flight Information and store in the server；
(1-4) local server is analyzed and is counted to the information of extraction, and the different each boarding gates in cooling supply region are obtained
Flight Information；
(2) local server obtains the different initial flight takeoffs in cooling supply region by the analysis and statistics to the departure time
Time；The present embodiment further by the analysis and statistics to the departure time, obtains cooling supply region one, cooling supply region two, cooling supply
The initial flight departure time in region three is respectively as follows: 9:45,7:20,8:35；
(3) opening time of the more initial flight departure time of local server and corresponding cooling supply region retail shop, if initially
Flight departure time earlier than the opening time of retail shop, then local server set tail end air conditioner opening of device time in the region as
1 hour before initial flight departure time, otherwise it is set as half an hour before opening time；The present embodiment further obtains local service
Initial flight departure time is compared by device with retail shop opening time 9:00, and the tail end air conditioner equipment in setting cooling supply region one is opened
Opening the time is 8:30, sets the tail end air conditioner opening of device time in cooling supply region two as 6:20, and the end for determining cooling supply region three is empty
The tune opening of device time is 7:35；The present embodiment carries out tail end air conditioner equipment using Flight Information and retail shop's business hours information
Rationalize management, realize each cooling supply area distal device intelligence switching on and shutting down, avoid the available machine time too early and the unused time too late
The problem of energy waste of generation；
(4) it is inquired by local server every half an hour and obtains each boarding gate in area of waiting in following 1 hour
Flight Information；
(5) local server carries out feature mark to the flight quantity of each boarding gate, and the boarding gate of no flight is marked
It is 0, next step is entered if having flight；
(6) local server to have flight boarding gate further progress feature mark, if flight status be " waiting " or
" delay " represents boarding gate someone at this time and is waiting, and is labeled as 1, if flight status is " boarding " or " cancellation ", representative is stepped at this time
Nobody machine mouth wait, and is labeled as 0；Wherein No. 3, No. 4 and No. 7 boarding gates are further obtained without flight in the present embodiment, therefore are marked
Note is 0, No. 1 and No. 5 boarding gate flight status are " waiting ", therefore is labeled as 1, and No. 2 boarding gate flight status are " boarding ", because
It is " taking off " that this, which is labeled as 0, No. 6 boarding gate flight status, therefore is labeled as 0；
(7) local server is added boarding gate feature in different cooling supply regions to obtain feature tag, if feature tag
The region room temperature setting value is turned up for 0 and stops fresh air supply, is set in the region room if feature tag is greater than 0
Temperature is default value；It further calculates to obtain one feature tag of cooling supply region in the present embodiment to be 1, sets the region Indoor Temperature
Degree is 26 DEG C, and two feature tag of cooling supply region is 0, sets the region room temperature as 28 DEG C and stops fresh air supply, for cold-zone
Three feature tag of domain is 1, sets the region room temperature as 26 DEG C；
(8) local server issues shooting instruction to image capture module corresponding to the non-zero cooling supply region of feature tag；
(9) multiple cooling supply area images are shot by image capture module, and image information is transmitted back in local service；
(10) local server is based on depth learning technology and carries out image object detection, identification figure to passenger in cooling supply region
Face quantity as in, obtains the flow of the people information P in the cooling supply region, by P multiplied by W (m3/ (h people)) obtain the every of the region
Hour fresh air volume setting value；Be 80 in the flow of the people that the present embodiment further obtains cooling supply region one, set fresh air volume as 80 ×
20=1600 (m3/ h), the flow of the people in cooling supply region three is 110, sets fresh air volume as 110 × 20=2200 (m3/h)；
(10-1) local server obtains cooling supply regional image information by image capture module；
(10-2) original image information extracts different candidate region frames via selective search；
All candidate frames are zoomed to fixed size by (10-3) local server, and are divided into grid；
(10-4) candidate frame image passes through its characteristics of image of convolutional neural networks model extraction one by one；
(10-5) is classified using the characteristics of image that classifier extracts convolutional neural networks, obtains the time for belonging to portrait
Favored area；
(10-6) local server counts portrait candidate frame quantity, obtains the flow of the people data in the cooling supply region；
(11) each cooling supply region room temperature is adjusted to setting value by temperature control modules, pass through fresh air quantity control module
Each cooling supply region fresh air volume is adjusted to setting value；
(12) local server is inquired and obtains each cooling supply region last bit flight status, if " boarding " or " taking off ", then
Close the tail end air conditioner equipment in the region；
(13) step (5)-step (12) are repeated, until all end-equipments are turned off.
The present embodiment realizes flow of the people real-time statistics using depth learning technology, is based on flow of the people Advance data quality real-time optimization
The fresh air volume in each cooling supply region sufficiently matches each area distal fresh air demand, avoids the waste of fresh air, is guaranteeing indoor human body heat
On the basis of comfort, reduce the energy consumption of tail end air conditioner equipment；
As shown in figure 4, adjusting each cooling supply region Indoor Temperature by temperature control modules described in the present embodiment step (11)
It spends to setting value, specific steps are as follows:
Radio temperature sensor acquires each cooling supply region room temperature point data and is transmitted in temperature control modules, calculates
Average indoor temperature TR, judge that cooling supply region current indoor temperature whether within the scope of set temperature, that is, judges TS-et≤TR≤TS
+et, wherein TSFor desired temperature, etFor temperature deviation, terminate the regulation of cooling supply regional temperature if reaching sets requirement, it is no
Then enter next step；
If cooling supply region current indoor temperature is higher than set temperature, increases chilled water water valve aperture and improve chilled water flow
Amount, collects each cooling supply region room temperature point data, and calculate average indoor temperature again again after the interval time of setting
TR, terminate temperature regulation if having met sets requirement, chilled water water valve aperture otherwise continued growing, until reaching chilled water water
The upper limit value of valve opening, into next step；
If cooling supply region current indoor temperature is still higher than set temperature, improves frequency converter frequency and increase tail end air conditioner equipment
Air output is collected for each room temperature point data in cold-zone domain again again after the interval time of setting and calculates indoor average temperature
Spend TR, terminate temperature regulation if having met sets requirement, otherwise continue to improve frequency converter frequency, until reaching frequency converter frequency
Upper limit value；
If cooling supply region current indoor temperature is lower than set temperature, reduces frequency converter frequency reduction tail end air conditioner equipment and send
Air quantity is collected for each room temperature point data in cold-zone domain again again after the interval time of setting and calculates average indoor temperature
TR, terminate temperature regulation if having met sets requirement, otherwise continue to reduce frequency converter frequency, until reaching frequency converter frequency
Lower limit value, into next step；
If cooling supply region current indoor temperature is still below set temperature, reduces chilled water water valve aperture and reduce chilled water flow
Amount, is collected for each room temperature point data in cold-zone domain again again after the interval time of setting and calculates average indoor temperature
TR, terminate temperature regulation if having met sets requirement, otherwise continue to reduce chilled water water valve aperture, until reaching chilled water water
The lower limit value of valve opening.
As shown in figure 5, adjusting each cooling supply region fresh air by fresh air quantity control module described in the present embodiment step (11)
It measures to setting value, the specific steps are as follows:
The fresh wind port wind speed W in fresh air air velocity transducer acquisition cooling supply regionIAnd it is transmitted to fresh air quantity control module, with stylish
Boiler pressure control module obtains fresh air valve opening data and is converted into fresh air open area SI, calculate current time fresh air volume Af=WI×
SI, judge AfWhether within the scope of setting fresh air volume, A is judgedS-ef≤Af≤AS+ef, wherein ASFor fresh air volume setting value, efIt is new
Air quantity difference terminates fresh air volume regulation if the fresh air volume range for reaching setting, otherwise enters next step；
If the current fresh air volume in cooling supply region increases fresh air valve opening and increases fresh air open area, warp lower than setting fresh air volume
The fresh air volume for calculating cooling supply region after spending the interval time of setting again, terminates fresh air volume if the fresh air volume range for having met setting
Regulation, otherwise continues growing fresh air valve opening, until reaching the fresh air valve opening upper limit, into next step；
If the current fresh air volume in cooling supply region is still below setting fresh air volume, improves frequency converter frequency and increases fresh wind port wind speed,
The fresh air volume for calculating cooling supply region again after the interval time of setting terminates fresh air if the fresh air volume range for having met setting
Otherwise amount regulation continues to improve frequency converter frequency, until reaching the frequency converter frequency upper limit；
If the current fresh air volume in cooling supply region is higher than setting fresh air volume, reduces frequency converter frequency and reduce fresh wind port wind speed, warp
The fresh air volume for calculating cooling supply region after spending the interval time of setting again, terminates fresh air volume if the fresh air volume range for having met setting
Otherwise regulation continues to reduce frequency converter frequency, until reaching frequency converter frequency lower limit, into next step；
If the current fresh air volume in cooling supply region is still higher than setting fresh air volume, reduces fresh air valve opening and reduces fresh air open area,
The fresh air volume for calculating cooling supply region again after the interval time of setting terminates fresh air if the fresh air volume range for having met setting
Otherwise amount regulation continues to reduce fresh air valve opening, until reaching fresh air valve opening lower limit.
The present embodiment has merged dynamic airport flight information and flow of the people information in the control of tail end air conditioner equipment, by people
The technologies such as work intelligence, deep learning, Internet of Things are combined with air conditioner energy saving optimal control, in the premise for guaranteeing Studies of Human Body Heat comfort
Under, realize the control of terminal tail end air conditioner equipment subregion Intelligent Dynamic.
Embodiment 3
The present embodiment also provides a kind of storage medium, and storage medium can be the storage mediums such as ROM, RAM, disk, CD,
The storage medium is stored with one or more programs, when described program is executed by processor, realizes the terminal end of embodiment 2
Air-conditioning equipment intelligent control method:
(1) local server issues inquiry instruction, obtains the initial flight in each boarding gate and last bit Flight Information；
(1-1) local server issues inquiry instruction, the Flight Information of terminal on the day of airport authorities query site, letter
Breath mainly includes airline, flight number, the departure time, boarding gate, flight status, destination etc.；
(1-2) local server grabs the webpage information inquired by web crawlers and is downloaded in server；
(1-3) local server parses the content grabbed, required for being extracted in webpage information by regular expression
Flight Information and store in the server；
(1-4) local server is analyzed and is counted to the information of extraction, and the different each boarding gates in cooling supply region are obtained
Flight Information；
(2) local server obtains the different initial flight takeoffs in cooling supply region by the analysis and statistics to the departure time
Time；The present embodiment further by the analysis and statistics to the departure time, obtains cooling supply region one, cooling supply region two, cooling supply
The initial flight departure time in region three is respectively as follows: 9:45,7:20,8:35；
(3) opening time of the more initial flight departure time of local server and corresponding cooling supply region retail shop, if initially
Flight departure time earlier than the opening time of retail shop, then local server set tail end air conditioner opening of device time in the region as
1 hour before initial flight departure time, otherwise it is set as half an hour before opening time；The present embodiment further obtains local service
Initial flight departure time is compared by device with retail shop opening time 9:00, and the tail end air conditioner equipment in setting cooling supply region one is opened
Opening the time is 8:30, sets the tail end air conditioner opening of device time in cooling supply region two as 6:20, and the end for determining cooling supply region three is empty
The tune opening of device time is 7:35；The present embodiment carries out tail end air conditioner equipment using Flight Information and retail shop's business hours information
Rationalize management, realize each cooling supply area distal device intelligence switching on and shutting down, avoid the available machine time too early and the unused time too late
The problem of energy waste of generation；
(4) it is inquired by local server every half an hour and obtains each boarding gate in area of waiting in following 1 hour
Flight Information；
(5) local server carries out feature mark to the flight quantity of each boarding gate, and the boarding gate of no flight is marked
It is 0, next step is entered if having flight；
(6) local server to have flight boarding gate further progress feature mark, if flight status be " waiting " or
" delay " represents boarding gate someone at this time and is waiting, and is labeled as 1, if flight status is " boarding " or " cancellation ", representative is stepped at this time
Nobody machine mouth wait, and is labeled as 0；Wherein No. 3, No. 4 and No. 7 boarding gates are further obtained without flight in the present embodiment, therefore are marked
Note is 0, No. 1 and No. 5 boarding gate flight status are " waiting ", therefore is labeled as 1, and No. 2 boarding gate flight status are " boarding ", because
It is " taking off " that this, which is labeled as 0, No. 6 boarding gate flight status, therefore is labeled as 0；
(7) local server is added boarding gate feature in different cooling supply regions to obtain feature tag, if feature tag
The region room temperature setting value is turned up for 0 and stops fresh air supply, is set in the region room if feature tag is greater than 0
Temperature is default value；It further calculates to obtain one feature tag of cooling supply region in the present embodiment to be 1, sets the region Indoor Temperature
Degree is 26 DEG C, and two feature tag of cooling supply region is 0, sets the region room temperature as 28 DEG C and stops fresh air supply, for cold-zone
Three feature tag of domain is 1, sets the region room temperature as 26 DEG C；
(8) local server issues shooting instruction to image capture module corresponding to the non-zero cooling supply region of feature tag；
(9) multiple cooling supply area images are shot by image capture module, and image information is transmitted back in local service；
(10) local server is based on depth learning technology and carries out image object detection, identification figure to passenger in cooling supply region
Face quantity as in, obtains the flow of the people information P in the cooling supply region, P is obtained the every of the region multiplied by W (m3/ (h people))
Hour fresh air volume setting value；Be 80 in the flow of the people that the present embodiment further obtains cooling supply region one, set fresh air volume as 80 ×
20=1600 (m3/ h), the flow of the people in cooling supply region three is 110, sets fresh air volume as 110 × 20=2200 (m3/h)；
(10-1) local server obtains cooling supply regional image information by image capture module；
(10-2) original image information extracts different candidate region frames via selective search；
All candidate frames are zoomed to fixed size by (10-3) local server, and are divided into grid；
(10-4) candidate frame image passes through its characteristics of image of convolutional neural networks model extraction one by one；
(10-5) is classified using the characteristics of image that classifier extracts convolutional neural networks, obtains the time for belonging to portrait
Favored area；
(10-6) local server counts portrait candidate frame quantity, obtains the flow of the people data in the cooling supply region；
(11) each cooling supply region room temperature is adjusted to setting value by temperature control modules, pass through fresh air quantity control module
Each cooling supply region fresh air volume is adjusted to setting value；
(12) local server is inquired and obtains each cooling supply region last bit flight status, if " boarding " or " taking off ", then
Close the tail end air conditioner equipment in the region；
(13) step (5)-step (12) are repeated, until all end-equipments are turned off.
Embodiment 4
The present embodiment also provides a kind of calculating equipment, which includes that the calculating equipment includes processor and storage
Device, memory is stored with one or more programs, when processor executes the program of memory storage, realizes above-mentioned terminal end
Air-conditioning equipment intelligent control method is held, this method includes the following steps:
(1) local server issues inquiry instruction, obtains the initial flight in each boarding gate and last bit Flight Information；
(1-1) local server issues inquiry instruction, the Flight Information of terminal on the day of airport authorities query site, letter
Breath mainly includes airline, flight number, the departure time, boarding gate, flight status, destination etc.；
(1-2) local server grabs the webpage information inquired by web crawlers and is downloaded in server；
(1-3) local server parses the content grabbed, required for being extracted in webpage information by regular expression
Flight Information and store in the server；
(1-4) local server is analyzed and is counted to the information of extraction, and the different each boarding gates in cooling supply region are obtained
Flight Information；
(2) local server obtains the different initial flight takeoffs in cooling supply region by the analysis and statistics to the departure time
Time；The present embodiment further by the analysis and statistics to the departure time, obtains cooling supply region one, cooling supply region two, cooling supply
The initial flight departure time in region three is respectively as follows: 9:45,7:20,8:35；
(3) opening time of the more initial flight departure time of local server and corresponding cooling supply region retail shop, if initially
Flight departure time earlier than the opening time of retail shop, then local server set tail end air conditioner opening of device time in the region as
1 hour before initial flight departure time, otherwise it is set as half an hour before opening time；The present embodiment further obtains local service
Initial flight departure time is compared by device with retail shop opening time 9:00, and the tail end air conditioner equipment in setting cooling supply region one is opened
Opening the time is 8:30, sets the tail end air conditioner opening of device time in cooling supply region two as 6:20, and the end for determining cooling supply region three is empty
The tune opening of device time is 7:35；The present embodiment carries out tail end air conditioner equipment using Flight Information and retail shop's business hours information
Rationalize management, realize each cooling supply area distal device intelligence switching on and shutting down, avoid the available machine time too early and the unused time too late
The problem of energy waste of generation；
(4) it is inquired by local server every half an hour and obtains each boarding gate in area of waiting in following 1 hour
Flight Information；
(5) local server carries out feature mark to the flight quantity of each boarding gate, and the boarding gate of no flight is marked
It is 0, next step is entered if having flight；
(6) local server to have flight boarding gate further progress feature mark, if flight status be " waiting " or
" delay " represents boarding gate someone at this time and is waiting, and is labeled as 1, if flight status is " boarding " or " cancellation ", representative is stepped at this time
Nobody machine mouth wait, and is labeled as 0；Wherein No. 3, No. 4 and No. 7 boarding gates are further obtained without flight in the present embodiment, therefore are marked
Note is 0, No. 1 and No. 5 boarding gate flight status are " waiting ", therefore is labeled as 1, and No. 2 boarding gate flight status are " boarding ", because
It is " taking off " that this, which is labeled as 0, No. 6 boarding gate flight status, therefore is labeled as 0；
(7) local server is added boarding gate feature in different cooling supply regions to obtain feature tag, if feature tag
The region room temperature setting value is turned up for 0 and stops fresh air supply, is set in the region room if feature tag is greater than 0
Temperature is default value；It further calculates to obtain one feature tag of cooling supply region in the present embodiment to be 1, sets the region Indoor Temperature
Degree is 26 DEG C, and two feature tag of cooling supply region is 0, sets the region room temperature as 28 DEG C and stops fresh air supply, for cold-zone
Three feature tag of domain is 1, sets the region room temperature as 26 DEG C；
(8) local server issues shooting instruction to image capture module corresponding to the non-zero cooling supply region of feature tag；
(9) multiple cooling supply area images are shot by image capture module, and image information is transmitted back in local service；
(10) local server is based on depth learning technology and carries out image object detection, identification figure to passenger in cooling supply region
Face quantity as in, obtains the flow of the people information P in the cooling supply region, P is obtained the every of the region multiplied by W (m3/ (h people))
Hour fresh air volume setting value；Be 80 in the flow of the people that the present embodiment further obtains cooling supply region one, set fresh air volume as 80 ×
20=1600 (m3/ h), the flow of the people in cooling supply region three is 110, sets fresh air volume as 110 × 20=2200 (m3/h)；
(10-1) local server obtains cooling supply regional image information by image capture module；
(10-2) original image information extracts different candidate region frames via selective search；
All candidate frames are zoomed to fixed size by (10-3) local server, and are divided into grid；
(10-4) candidate frame image passes through its characteristics of image of convolutional neural networks model extraction one by one；
(10-5) is classified using the characteristics of image that classifier extracts convolutional neural networks, obtains the time for belonging to portrait
Favored area；
(10-6) local server counts portrait candidate frame quantity, obtains the flow of the people data in the cooling supply region；
(11) each cooling supply region room temperature is adjusted to setting value by temperature control modules, pass through fresh air quantity control module
Each cooling supply region fresh air volume is adjusted to setting value；
(12) local server is inquired and obtains each cooling supply region last bit flight status, if " boarding " or " taking off ", then
Close the tail end air conditioner equipment in the region；
(13) step (5)-step (12) are repeated, until all end-equipments are turned off.
The above embodiment is a preferred embodiment of the present invention, but embodiments of the present invention are not by above-described embodiment
Limitation, other any changes, modifications, substitutions, combinations, simplifications made without departing from the spirit and principles of the present invention,
It should be equivalent substitute mode, be included within the scope of the present invention.
Claims (9)
1. a kind of terminal tail end air conditioner device intelligence control system characterized by comprising local server, control module,
Adjustment module, sensor module and image capture module；
Described image acquisition module is connect with local server, and the local server is connect with control module, the control mould
Block is connect with adjustment module, sensor module；
Described image acquisition module includes camera module, for acquiring the image information in each cooling supply region；
The local server for Flight Information online query and acquisition, cooling supply zone marker, passenger image target detection with
People flow rate statistical, parameter calculate and storage, and control strategy is transmitted to control module；
The sensor module includes radio temperature sensor and fresh air air velocity transducer, and the radio temperature sensor is for surveying
Each cooling supply region room temperature is measured, the fresh air air velocity transducer is for measuring fresh wind port wind speed；
The control module includes temperature control modules and fresh air quantity control module, the room temperature for receiving sensor module
And fresh air air speed data, transmission measurement data to local server, and the control strategy of local server is received, to adjustment module
Carry out dynamic regulation；
The adjustment module includes multiple chilled water water valves, frequency converter and new air-valve, and the chilled water water valve controls chilled water flow
Amount, the Frequency Converter Control blower frequency adjust air output, and the new air-valve controls fresh air volume.
2. terminal tail end air conditioner device intelligence control system according to claim 1, which is characterized in that the local clothes
Business device includes Flight Information acquiring unit, cooling supply zone marker unit, and figure information detects recognition unit, parameter set unit,
Control strategy processing unit；
The Flight Information acquiring unit: Flight Information is extracted in webpage information and is stored in local server；
The cooling supply zone marker unit: feature mark is done to boarding gate according to flight status, counts the boarding of each cooling supply region
The feature mark of mouth, obtains cooling supply provincial characteristics label；
The figure information detects recognition unit: carrying out image object inspection to passenger in the cooling supply region of effective feature tag
It surveys, identifies the face quantity in image, obtain the people information in corresponding cooling supply region；
The parameter set unit: setting system parameter message, including it is the tail end air conditioner equipment initial opening time, each for cold-zone
The interval time that room temperature setting value, each cooling supply region fresh air volume to setting value, the data in domain acquire；
The control strategy processing unit: it according to the Current Temperatures information and fresh wind port wind speed information of collection, generates corresponding
Temperature regulation and fresh air volume regulating strategy.
3. a kind of terminal tail end air conditioner device intelligence control method, which is characterized in that include the following steps:
S1: local server inquiry obtains the initial Flight Information in different cooling supply regions, is risen with retail shop business hours information
Beginning time order and function compares, and sets the tail end air conditioner equipment initial opening time in corresponding cooling supply region；
S2: the boarding gate Flight Information in local server timing acquisition difference cooling supply region, according to flight status to boarding gate
Feature mark is done, distinguishes whether someone waits；
S3: local server counts the feature mark of each cooling supply region boarding gate, cooling supply provincial characteristics label is obtained, according to confession
Cold-zone characteristic of field label adjusts the room temperature setting value in each cooling supply region；
S4: according to cooling supply provincial characteristics label, the cooling supply region for marking someone to wait, the confession that image capture module waits to someone
Cold-zone domain carries out Image Acquisition, and image information is transmitted to local server；
S5: local server carries out image object detection to passenger in cooling supply region using deep learning algorithm, identifies in image
Face quantity, the people information P in corresponding cooling supply region is obtained, by P multiplied by W (m3/ (h people)) obtain corresponding cooling supply region
Fresh air volume setting value per hour；
S6: each cooling supply region room temperature is adjusted to setting value by temperature control modules, is adjusted by fresh air quantity control module
Each cooling supply region fresh air volume is to setting value；
S7: each cooling supply region last bit flight status is inquired and obtained to local server, if boarding gate nobody wait, close corresponding
The tail end air conditioner equipment in cooling supply region；
S8: step S2-S7 is repeated, until all tail end air conditioner equipment are turned off.
4. terminal tail end air conditioner device intelligence control method according to claim 3, which is characterized in that described in step S1
Inquiry obtains the Flight Information in different cooling supply regions, specific steps are as follows:
S11: the Flight Information of terminal on the day of related web site inquiry, Flight Information includes initial Flight Information, last bit flight
Information, flight number, the departure time, boarding gate and flight status；
S12: in the webpage information and locally downloading server inquired by web crawlers crawl；
S13: Flight Information is extracted in webpage information by regular expression and is stored in local server.
5. terminal tail end air conditioner device intelligence control method according to claim 3, which is characterized in that described in step S5
Local server carries out image object detection to passenger in cooling supply region using deep learning algorithm, which is characterized in that specific step
It is rapid as described below:
S51: image capture module obtains cooling supply region original image information；
S52: original image information extracts different candidate region frames by selective search, and local server is by all candidates
Regional frame zooms to fixed size, and split into grid；
S53: the image in the frame of candidate region passes through convolutional neural networks model extraction characteristics of image one by one；In convolutional neural networks
Classifier classify to the characteristics of image of extraction, obtain the candidate region for belonging to portrait；
S54: statistics portrait candidate frame quantity obtains the flow of the people data in cooling supply region.
6. terminal tail end air conditioner device intelligence control method according to claim 3, which is characterized in that institute in step S7
It states and adjusts each cooling supply region room temperature to setting value by temperature control modules, it is described that specific step is as follows:
Radio temperature sensor acquires each cooling supply region room temperature point data and is transmitted in temperature control modules, calculates indoor
Mean temperature TR, judge that cooling supply region current indoor temperature whether within the scope of set temperature, that is, judges TS-et≤TR≤TS+et,
Wherein TSFor desired temperature, etFor temperature deviation, terminate the regulation of cooling supply regional temperature if reaching sets requirement, otherwise into
Enter next step；
If cooling supply region current indoor temperature is higher than set temperature, increases chilled water water valve aperture and improve chilled-water flow, warp
Each cooling supply region room temperature point data is collected again again after spending the interval time of setting, and calculates average indoor temperature TRIf
Having met sets requirement then terminates temperature regulation, otherwise continues growing chilled water water valve aperture, opens until reaching chilled water water valve
The upper limit value of degree, into next step；
If cooling supply region current indoor temperature is still higher than set temperature, improves frequency converter frequency and increase the air-supply of tail end air conditioner equipment
Amount, is collected for each room temperature point data in cold-zone domain again again after the interval time of setting and calculates average indoor temperature
TR, terminate temperature regulation if having met sets requirement, otherwise continue to improve frequency converter frequency, until reaching frequency converter frequency
Upper limit value；
If cooling supply region current indoor temperature is lower than set temperature, reduces frequency converter frequency and reduce the air-supply of tail end air conditioner equipment
Amount, is collected for each room temperature point data in cold-zone domain again again after the interval time of setting and calculates average indoor temperature
TR, terminate temperature regulation if having met sets requirement, otherwise continue to reduce frequency converter frequency, until reaching frequency converter frequency
Lower limit value, into next step；
If cooling supply region current indoor temperature is still below set temperature, reduces chilled water water valve aperture and reduces chilled-water flow,
It is collected for each room temperature point data in cold-zone domain again again after the interval time of setting and calculates average indoor temperature TRIf
Having met sets requirement then terminates temperature regulation, otherwise continues to reduce chilled water water valve aperture, open until reaching chilled water water valve
The lower limit value of degree.
7. terminal tail end air conditioner device intelligence control method according to claim 3, which is characterized in that institute in step S7
It states and each cooling supply region fresh air volume is adjusted to setting value by fresh air quantity control module, it is described that specific step is as follows:
The fresh wind port wind speed W in fresh air air velocity transducer acquisition cooling supply regionIAnd it is transmitted to fresh air quantity control module, while fresh air volume
Control module obtains fresh air valve opening data and is converted into fresh air open area SI, calculate current time fresh air volume Af=WI×SI, sentence
Disconnected AfWhether within the scope of setting fresh air volume, A is judgedS-ef≤Af≤AS+ef, wherein ASFor fresh air volume setting value, efFor fresh air volume
Deviation terminates fresh air volume regulation if the fresh air volume range for reaching setting, otherwise enters next step；
If the current fresh air volume in cooling supply region increases fresh air valve opening and increases fresh air open area, by setting lower than setting fresh air volume
The fresh air volume for calculating cooling supply region after fixed interval time again terminates fresh air volume tune if the fresh air volume range for having met setting
Control, otherwise continues growing fresh air valve opening, until reaching the fresh air valve opening upper limit, into next step；
If the current fresh air volume in cooling supply region is still below setting fresh air volume, improves frequency converter frequency and increase fresh wind port wind speed, pass through
The fresh air volume for calculating cooling supply region after the interval time of setting again terminates fresh air volume tune if the fresh air volume range for having met setting
Otherwise control continues to improve frequency converter frequency, until reaching the frequency converter frequency upper limit；
If the current fresh air volume in cooling supply region is higher than setting fresh air volume, reduces frequency converter frequency and reduce fresh wind port wind speed, by setting
The fresh air volume for calculating cooling supply region after fixed interval time again terminates fresh air volume tune if the fresh air volume range for having met setting
Otherwise control continues to reduce frequency converter frequency, until reaching frequency converter frequency lower limit, into next step；
If the current fresh air volume in cooling supply region is still higher than setting fresh air volume, reduces fresh air valve opening and reduce fresh air open area, pass through
The fresh air volume for calculating cooling supply region after the interval time of setting again terminates fresh air volume tune if the fresh air volume range for having met setting
Otherwise control continues to reduce fresh air valve opening, until reaching fresh air valve opening lower limit.
8. a kind of storage medium, is stored with program, which is characterized in that realize such as claim when described program is executed by processor
The described in any item terminal tail end air conditioner device intelligence control methods of 3-7.
9. a kind of calculating equipment, including processor and for the memory of storage processor executable program, which is characterized in that institute
When stating the program of processor execution memory storage, the described in any item terminal tail end air conditioner equipment of claim 3-7 are realized
Intelligent control method.
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