CN115992832B - Intelligent control method and system for fan shutter - Google Patents
Intelligent control method and system for fan shutter Download PDFInfo
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- CN115992832B CN115992832B CN202310105383.8A CN202310105383A CN115992832B CN 115992832 B CN115992832 B CN 115992832B CN 202310105383 A CN202310105383 A CN 202310105383A CN 115992832 B CN115992832 B CN 115992832B
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- 230000001276 controlling effect Effects 0.000 claims abstract description 18
- 238000013461 design Methods 0.000 claims abstract description 3
- 238000005457 optimization Methods 0.000 claims description 17
- 238000012216 screening Methods 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 3
- 244000144972 livestock Species 0.000 description 9
- 230000000694 effects Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 4
- 238000009395 breeding Methods 0.000 description 3
- 230000001488 breeding effect Effects 0.000 description 3
- 238000001816 cooling Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000008821 health effect Effects 0.000 description 2
- 238000009423 ventilation Methods 0.000 description 2
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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 provides an intelligent control method and system for a fan shutter, which relate to the technical field of intelligent control, and the method comprises the following steps: the method comprises the steps of uploading temperature information in a house through an internal ring controller, carrying out regional clustering on a space in the house, extracting a plurality of internal regions taking a plurality of regional characteristic temperatures in a plurality of internal regions to meet a temperature threshold, setting the regional characteristic temperatures as regions to be regulated and controlled, carrying out fan pairing to obtain basic information of a fan to be started, carrying out optimal design on shutter control parameters according to the basic information of the fan to be started and the regions to be regulated and controlled, generating a shutter control parameter optimal result and controlling the shutter to work.
Description
Technical Field
The invention relates to the technical field of intelligent control, in particular to an intelligent control system of a fan shutter.
Background
Along with the acceleration of intensive and industrialized processes of domestic breeding industry, requirements on biosafety of the whole plant, automation of equipment and tightness of the whole plant are also higher and higher while the scale of the breeding plant is rapidly enlarged. The fan is used as core equipment of an environmental control system in the breeding industry, the performance of the fan is directly related to the health of animals and the production performance of factories, and the high-performance fan can not only reduce energy consumption, but also effectively reduce the influence of bad tightness, bad ventilation, malodor, harmful gas and the like on the health of livestock.
In the prior art, the control of the fan shutter is poor, so that the fan shutter has a health effect on livestock.
Disclosure of Invention
The application provides an intelligent control method of a fan shutter, which is used for solving the technical problem that the fan shutter has poor control on the fan shutter so as to cause health influence on livestock in the prior art.
In view of the above problems, the present application provides an intelligent control method and system for a fan shutter.
In a first aspect, the present application provides an intelligent control method for a fan shutter, where the method includes: uploading house temperature information through a house internal ring controller; carrying out regional clustering on the space in the house according to the temperature information in the house to obtain a plurality of regions in the house, wherein the regions in the house comprise a plurality of region characteristic temperatures; extracting the multiple house internal regions with the characteristic temperatures meeting the temperature threshold values, and setting the regions as regions to be regulated; performing fan pairing on the area to be regulated and controlled to acquire basic information of a fan to be started; acquiring shutter control parameters; according to the basic information of the fan to be started and the area to be regulated, optimizing the control parameters of the shutter to generate an optimized result of the control parameters of the shutter; and controlling the fan shutter to work according to the shutter control parameter optimization result.
In a second aspect, the present application provides an intelligent control system for a fan shutter, the system comprising: the uploading module is used for uploading temperature information in the house through the house internal ring controller; the regional clustering module is used for carrying out regional clustering on the space in the house according to the temperature information in the house to obtain a plurality of regions in the house, wherein the regions in the house comprise a plurality of regional characteristic temperatures; the extraction module is used for extracting the plurality of regions in the house, the characteristic temperatures of which meet the temperature threshold, and setting the regions as regions to be regulated; the pairing module is used for carrying out fan pairing on the area to be regulated and controlled and acquiring basic information of a fan to be started; the parameter acquisition module is used for acquiring shutter control parameters; the optimizing module is used for optimizing the design of the shutter control parameters according to the basic information of the fan to be started and the area to be regulated and controlled, and generating a shutter control parameter optimizing result; and the control module is used for controlling the fan shutter to work according to the shutter control parameter optimization result.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the application provides an intelligent control method of fan shutter relates to intelligent control technical field, has solved among the prior art to the control of fan shutter not good for the fan shutter produces the technical problem of healthy influence to the livestock, has realized rationalizing accurate control to the fan shutter, and then reduces the healthy influence to the livestock.
Drawings
Fig. 1 is a schematic flow chart of an intelligent control method of a fan shutter;
FIG. 2 is a schematic diagram of a flow chart for generating characteristic temperatures of a plurality of areas in a house and a plurality of areas in an intelligent control method of a fan shutter;
fig. 3 is a schematic diagram of a process for generating basic information of a fan to be started in an intelligent control method of a fan shutter;
fig. 4 is a schematic flow chart of a result of optimizing shutter control parameters in the intelligent control method of a fan shutter;
FIG. 5 is a schematic diagram of a fan shutter control flow in an intelligent control method of a fan shutter;
fig. 6 is a schematic structural diagram of an intelligent control system for a fan shutter.
Reference numerals illustrate: the device comprises an uploading module 1, a region clustering module 2, an extracting module 3, a pairing module 4, a parameter obtaining module 5, an optimizing module 6 and a control module 7.
Detailed Description
The application is through providing an intelligent control method of fan shutter for solve among the prior art to the control of fan shutter not good, make the fan shutter produce the technical problem of health effect to the livestock.
Example 1
As shown in fig. 1, an embodiment of the present application provides an intelligent control method for a fan shutter, where the method includes:
step S100: uploading house temperature information through a house internal ring controller;
specifically, the intelligent control method of the fan shutter provided by the embodiment of the application is applied to an intelligent control system of the fan shutter, the system is in communication connection with an internal ring controller, the internal ring controller is used for collecting internal temperature parameters, namely, the internal ring controller collects the temperature in a farm, the internal ring controller refers to a temperature sensor in the farm, so that the temperature in the farm is collected and uploaded in real time, and the fan shutter window is controlled for later realization as an important reference basis.
Step S200: carrying out regional clustering on the space in the house according to the temperature information in the house to obtain a plurality of regions in the house, wherein the regions in the house comprise a plurality of region characteristic temperatures;
specifically, based on temperature information in a farm acquired by an in-house environmental controller, the space in the house is clustered, namely, according to different temperatures corresponding to different areas in the farm, the space in the farm is divided into areas with the temperature as a reference, and areas with similar temperatures are further clustered, so that a plurality of in-house areas are acquired, the plurality of in-house areas contain a plurality of area characteristic temperatures corresponding to the areas, and further control of a fan shutter window is guaranteed.
Step S300: extracting the multiple house internal regions with the characteristic temperatures meeting the temperature threshold values, and setting the regions as regions to be regulated;
specifically, on the basis of the divided region characteristic temperatures, regions meeting a temperature threshold value in the region characteristic temperatures are screened, the temperature threshold value is preset by related technicians according to temperature data of a farm in big data, the screened region characteristic temperatures meet the region in a plurality of houses corresponding to the temperature threshold value, the extracted region in the farm is set to be a belt regulation region, and a control tamping basis is provided for the subsequent realization of fan shutter window control.
Step S400: performing fan pairing on the area to be regulated and controlled to acquire basic information of a fan to be started;
specifically, according to the area to be regulated and controlled, the position of the area to be regulated and controlled in the farm is determined, the position information of the fan shutter in the determined position is traversed on the basis, the minimum value of the distance is screened out, the minimum value is matched with the number of the current fan to be started, the rotating speed information of the fan to be started and the position information of the fan to be started are further obtained, and finally the rotating speed information of the fan to be started and the position information of the fan to be started are taken as basic information of the fan to be started, so that the fan shutter window is controlled to have a limiting effect.
Step S500: acquiring shutter control parameters;
specifically, this motor shutter comprises shutter frame, shutter blade, shutter connecting rod, counter weight module, magnetism inhale metal sheet, electromagnetic module etc. according to the characteristics of fan shutter, lighting promptly, ventilate, rain-proof, keep warm, thermal-insulated and fall etc. wherein the fan shutter can be through the angle of control leaf control light in the plant, thereby reach shading or daylighting effect, when the fan shutter is adjusted the leaf to 90, then can make livestock in the plant reach good ventilation effect, the fan shutter also can prevent the wind and rain invasion and attack simultaneously, even storm also does not have the rainwater infiltration, and when the leaf of fan shutter is closed, the casement can be in airtight state, can keep the temperature in the plant, with this isolated external high temperature, simultaneously can reduce the noise more than 30 db, in order to guarantee the health of livestock in the plant, thereby better carries out corresponding control to motor shutter.
Step S600: according to the basic information of the fan to be started and the area to be regulated, optimizing the control parameters of the shutter to generate an optimized result of the control parameters of the shutter;
specifically, based on a region to be regulated, which is obtained by extracting basic information of a fan to be started and a plurality of regions in a house, wherein the characteristic temperatures of the regions meet a temperature threshold, obtained by carrying out fan pairing on the region to be regulated, firstly, a shutter opening inclination constraint interval in shutter control parameters is randomly adjusted, and the shutter opening inclination constraint interval can be: [0 DEG, 90 DEG ], thereby obtaining the current shutter opening inclination angle parameter, further searching according to the position information of the area to be regulated and controlled, the rotating speed information of the fan to be started, the position information of the fan to be started and the current shutter opening inclination angle parameter, obtaining the selected frequency parameter of the current shutter, then screening the maximum value from the first selected frequency parameter until the selected frequency parameter after multiple iterations, finally obtaining the shutter control parameter optimization result, and controlling the shutter window of the fan in the later period has profound influence.
Step S700: and controlling the fan shutter to work according to the shutter control parameter optimization result.
Specifically, the fan shutter in the farm is controlled on the basis of the obtained shutter control parameter optimization result, the fan shutter comprises an electromagnetic control module and a shutter control inclination angle control module, after the fan shutter starts to work, the electromagnetic control module is closed, the fan shutter is further controlled by the shutter control inclination angle control module on the basis of the shutter control parameter optimization result, the shutter starts to work, the real-time temperature information of the area to be regulated is correspondingly obtained through the house internal ring controller, if the real-time temperature information does not meet the temperature threshold value, the electromagnetic control module of the shutter is opened, the fan shutter is closed and controlled, the temperature in the farm is proper, reasonable and accurate control of the fan shutter is realized, and the health influence on livestock is reduced.
Further, as shown in fig. 2, step S200 of the present application further includes:
step S210: acquiring a regional clustering temperature threshold;
step S220: acquiring the temperature in the first area house and the temperature in the second area house according to the temperature information in the house, wherein the first area and the second area are adjacent;
step S230: judging whether the temperature in the first area house and the temperature in the second area house are classified based on the area clustering temperature threshold;
step S240: if the temperature in the first area house and the temperature in the second area house are classified, calculating a classifying characteristic temperature;
step S250: if the temperature in the first area house and the temperature in the second area house cannot be classified, setting the temperature in the first area house as a first area classification characteristic temperature and setting the temperature in the second area house as a second area classification characteristic temperature;
step S260: and repeating clustering until the characteristic temperatures of the adjacent regions cannot be classified, and generating the multiple regions in the house and the characteristic temperatures of the multiple regions.
Specifically, the regional cluster temperature threshold value is set, namely the temperature threshold value in the farm can be set at 15 ℃ to 22 ℃, so that the regional cluster temperature threshold value can be set in the range of 5 ℃, then different temperature regions are divided based on real-time temperature information in the current farm, so that the first regional cluster temperature and the second regional cluster temperature are obtained, the first region is adjacent to the second region, then the regional cluster temperature threshold value is used for judging whether the first regional cluster temperature and the second regional cluster temperature can be classified into one type, firstly, the first regional cluster temperature and the second regional cluster temperature are subjected to difference, and judging whether the absolute value of the current temperature difference is larger than or equal to the regional cluster temperature threshold value, if the absolute value of the current temperature difference is larger than or equal to the regional cluster temperature threshold value, the first regional cluster temperature and the second regional cluster temperature cannot be classified into one type, and if the absolute value of the current temperature difference is smaller than the regional cluster temperature threshold value, the first regional cluster temperature and the second regional cluster temperature can be classified into one type, and if the first regional cluster temperature and the second regional cluster temperature are required to be classified into one type, and a characteristic formula is calculated.
Wherein T is the characteristic temperature after clustering any two adjacent areas, and T 1 Is the firstCharacteristic temperature of a region, n 1 T is the total number of temperatures already clustered in the first zone 2 For the characteristic temperature of the second region, n 2 The total number of temperatures already clustered in the second region.
Further, the temperature in the first area house and the temperature in the second area house are classified according to the temperature classification calculation formula, so that classified characteristic temperatures are generated, if the temperature in the first area house and the temperature in the second area house cannot be classified, the temperature in the first area house is correspondingly set to be the first area classified characteristic temperature, the temperature in the second area house is correspondingly set to be the second area classified characteristic temperature, the temperature in the house is partitioned, the fan is conveniently and selectively started in the later step, and the technical effect of improving the control refinement degree of the fan louver is achieved.
Further, step S230 of the present application includes:
step S231: the temperature in the first area house and the temperature in the second area house are differentiated to obtain the absolute value of the temperature difference
Step S232: judging whether the absolute value of the temperature difference is larger than or equal to the regional clustering temperature threshold value;
step S233: if the temperature is greater than or equal to the first zone internal temperature and the second zone internal temperature cannot be classified into one type;
step S234: if the temperature is smaller than the first area, the temperature in the first area and the temperature in the second area are classified into one type.
Specifically, the temperatures in the houses corresponding to the obtained adjacent first areas and the temperatures in the houses corresponding to the second areas are subjected to difference, the absolute value of the obtained temperature difference is further taken, whether the absolute value of the current obtained temperature difference is larger than or equal to the area clustering temperature threshold value is further judged, if the absolute value of the temperature difference is larger than or equal to the area clustering temperature threshold value, the temperatures in the houses corresponding to the first areas are proved to be more than or equal to 5 ℃ on the basis of the temperatures in the houses corresponding to the second areas, the temperatures in the houses corresponding to the first areas and the temperatures in the houses corresponding to the second areas cannot be considered as a class of temperatures, and if the absolute value of the temperature difference is smaller than the area clustering temperature threshold value, the temperatures in the houses corresponding to the first areas are proved to be less than or equal to 5 ℃ on the basis of the temperatures in the houses corresponding to the second areas, and therefore the temperatures in the houses corresponding to the first areas and the temperatures in the houses corresponding to the second areas can be considered as a class of temperatures, and the fan louver window can be controlled efficiently.
Further, step S240 of the present application includes:
step S241: acquiring a temperature classification calculation formula:
wherein T is the characteristic temperature after clustering any two adjacent areas, and T 1 For the characteristic temperature of the first zone, n 1 T is the total number of temperatures already clustered in the first zone 2 For the characteristic temperature of the second region, n 2 Total number of temperatures already clustered in the second region;
step S242: and classifying the temperatures in the first area house and the second area house according to the temperature classification calculation formula, and generating the classification characteristic temperature.
Specifically, if the absolute value of the temperature difference is smaller than the regional clustering temperature threshold, it is proved that the temperature in the house corresponding to the first region increases or decreases by less than 5 ℃ based on the temperature in the house corresponding to the second region, and the temperature can be regarded as a type of temperature, so that the temperature in the house of the first region and the temperature in the house of the second region can be classified, the classifying feature temperature is further calculated, and the temperature classifying calculation formula is as follows:
wherein T is the characteristic temperature after clustering any two adjacent areas, and T 1 For the characteristic temperature of the first zone, n 1 T is the total number of temperatures already clustered in the first zone 2 For the characteristic temperature of the second region, n 2 For the total number of temperatures already clustered in the second area, the temperatures in the first area house and the temperatures in the second area house are classified according to a temperature classification calculation formula, and for example, if the average temperature of the temperatures in the first area house, namely the temperatures in the first area, in the cultivation farm is 20 ℃, the average temperature of the temperatures in the second area house, namely the temperatures in the second area is 22 ℃, the total number of the temperatures already clustered in the first area is the number of the temperatures in the first area, the total number of the temperatures already clustered in the second area is 2, the total number of the temperatures already clustered in the second area is the number of the temperatures in the second area, the current classification characteristic temperature is about 11 ℃, the current classification characteristic temperature is output as the classification characteristic temperature, and the fan shutter window is controlled according to the better realization of the calculated classification characteristic temperature.
Further, as shown in fig. 3, step S400 of the present application further includes:
step S410: acquiring position information of the region to be regulated according to the region to be regulated;
step S420: traversing fan position information according to the position information of the area to be regulated, screening a minimum distance value, and matching the serial number information of the fan to be started;
step S430: acquiring the rotating speed information of the fan to be started and the position information of the fan to be started according to the serial number information of the fan to be started;
step S440: and adding the rotating speed information of the fan to be started and the position information of the fan to be started into the basic information of the fan to be started.
Specifically, the position of the current region to be regulated and controlled in the farm is located based on the region to be regulated and controlled obtained by extracting the regions in the house with the characteristic temperatures meeting the temperature threshold, so that the position information corresponding to the region to be regulated and controlled is obtained, the position information of the fan shutter is further traversed, namely, the position information corresponding to the region to be regulated and controlled is taken as a searching route, each node containing the position information of the fan shutter is sequentially accessed once, so that the fan shutter closest to the current region is screened out, namely, the minimum distance is screened out, the fan number information of the fan shutter corresponding to the minimum distance is matched, the matched fan number information to be started is obtained, the current fan speed information to be started and the fan position information to be started are obtained according to the fan number information to be started, and finally, the determined fan speed information to be started and the fan position information to be started are added into basic information of the fan to be started, so that the technical effect of providing reference for controlling the fan shutter is achieved.
Further, as shown in fig. 4, step S600 of the present application further includes:
step S610: the shutter control parameters comprise shutter opening inclination parameters, wherein the inclination constraint interval of the shutter opening inclination parameters is as follows: [0 °,90 ° ];
step S620: randomly adjusting based on the inclination constraint interval to obtain a kth shutter opening inclination angle parameter;
step S630: searching according to the position information of the area to be regulated, the rotating speed information of the fan to be started, the position information of the fan to be started and the opening inclination angle parameter of the kth shutter to obtain a kth selected frequency parameter;
step S640: judging whether the k value meets the preset iteration times or not;
step S650: and if so, carrying out maximum value screening from the first selected frequency parameter to the kth selected frequency parameter to obtain the shutter control parameter optimization result.
Specifically, the shutter opening inclination angle parameters contained in the shutter control parameters are acquired, and the inclination angle constraint interval of the shutter opening inclination angle parameters is as follows: [0 DEG, 90 DEG ] and randomly adjusting the inclination constraint interval of the shutter, thereby correspondingly obtaining the opening inclination parameter of the kth shutter, namely randomly obtained shutter inclination parameter after random adjustment, further searching the position information of the area to be regulated, the rotating speed information of the fan to be started, the position information of the fan to be started and the opening inclination parameter of the kth shutter according to the obtained position information of the area to be regulated, the counted shutter inclination times of the shutter in the random adjustment process of the shutter in a cultivation field, counting and integrating the counted shutter inclination times of the shutter to obtain the kth selected frequency parameter, judging whether the k value meets the preset iteration times or not, and supposing that the preset iteration times are limited to 1000 times, namely, when the k value iteration times reach 1000 times, the maximum value of the selected frequency parameter is screened from the 1000 th selected frequency parameter, and the larger selected frequency parameter is, the shutter is applied with more current inclination times, so that the shutter is extracted and then recorded as a shutter control parameter optimizing result, and finally the technical effect of controlling the shutter of the fan is achieved.
Further, as shown in fig. 5, step S710 of the present application further includes:
step S710: the fan shutter comprises an electromagnetic control module and a shutter control inclination angle control module;
step S720: when the fan shutter starts to work, closing the electromagnetic control module, controlling the fan shutter to start to work according to the shutter control parameter optimization result based on the shutter control inclination angle control module, and acquiring real-time temperature information of the area to be regulated through the house internal controller;
step S730: and when the real-time temperature information does not meet the temperature threshold, starting the electromagnetic control module to control the fan shutter to be closed.
Specifically, in the fan shutter in the plant, the control module and the shutter control inclination angle module are respectively contained, after the fan shutter starts to work, the electromagnetic control module is closed, the shutter inclination angle is controlled, thereby realizing refined cooling control, the suitability of temperature in the plant is ensured, further, the fan shutter is controlled to start to work based on the shutter control parameter optimization result through the shutter control inclination angle control module, the real-time temperature information of the area to be regulated and controlled is acquired through the house internal ring controller, if the real-time temperature information does not meet the temperature threshold value, the cooling is finished, the electromagnetic control module is started again, the fan shutter is controlled to be closed, thereby realizing the closing of the fan shutter, and finally achieving the technical effect of controlling the fan shutter window.
Example two
Based on the same inventive concept as the intelligent control method of a fan shutter in the foregoing embodiment, as shown in fig. 6, the present application provides an intelligent control system of a fan shutter, where the system includes:
the uploading module 1 is used for uploading temperature information in the house through the house internal ring controller;
the regional clustering module 2 is used for regional clustering of the space in the house according to the temperature information in the house to obtain a plurality of regions in the house, wherein the regions in the house comprise a plurality of regional characteristic temperatures;
the extraction module 3 is used for extracting the plurality of intra-house areas with the characteristic temperatures meeting the temperature threshold value of the plurality of areas, and setting the plurality of intra-house areas as areas to be regulated;
the pairing module 4 is used for carrying out fan pairing on the area to be regulated and controlled, and acquiring basic information of a fan to be started;
the parameter acquisition module 5 is used for acquiring shutter control parameters;
the optimizing module 6 is used for optimally designing the shutter control parameters according to the basic information of the fan to be started and the area to be regulated and controlled, and generating a shutter control parameter optimizing result;
the control module 7 is used for controlling the fan shutter to work according to the shutter control parameter optimization result.
Further, the system further comprises:
the temperature threshold module is used for acquiring a regional clustering temperature threshold;
the temperature information module is used for acquiring the temperature in the first area house and the temperature in the second area house according to the temperature information in the house, wherein the first area and the second area are adjacent;
the first judging module is used for judging whether the temperature in the first area house and the temperature in the second area house are classified based on the area clustering temperature threshold value;
the calculating and classifying module is used for calculating and classifying the characteristic temperature if the temperature in the first area house and the temperature in the second area house are classified;
the first classification module is used for setting the temperature in the first area house as the first area classification characteristic temperature and setting the temperature in the second area house as the second area classification characteristic temperature if the temperature in the first area house and the temperature in the second area house cannot be classified;
and the repeating module is used for repeating clustering until the classification characteristic temperatures of the adjacent areas cannot be classified into one type, and generating the plurality of in-house areas and the plurality of area characteristic temperatures.
Further, the system further comprises:
the difference module is used for obtaining the difference between the temperature in the first area house and the temperature in the second area house and obtaining the absolute value of the temperature difference;
the second judging module is used for judging whether the absolute value of the temperature difference is larger than or equal to the regional clustering temperature threshold value;
the second classification module is used for judging whether the temperature in the first area house and the temperature in the second area house cannot be classified if the temperature in the first area house and the temperature in the second area house are larger than or equal to each other;
and the third classifying module is used for classifying the temperature in the first area house and the temperature in the second area house into one type if the temperature in the first area house and the temperature in the second area house are smaller than each other.
Further, the system further comprises:
the calculation formula module is used for acquiring a temperature classification calculation formula:
wherein T is the characteristic temperature after clustering any two adjacent areas, and T 1 For the characteristic temperature of the first zone, n 1 T is the total number of temperatures already clustered in the first zone 2 For the characteristic temperature of the second region, n 2 Total number of temperatures already clustered in the second region;
and the fourth classifying module is used for classifying the temperature in the first area house and the temperature in the second area house according to the temperature classifying calculation formula, and generating the classifying characteristic temperature.
Further, the system further comprises:
the regional position module is used for acquiring the regional position information to be regulated according to the region to be regulated;
the first screening module is used for traversing the minimum value of the screening distance of the fan position information according to the position information of the area to be regulated and controlled and matching the serial number information of the fan to be started;
the information acquisition module is used for acquiring the rotating speed information of the fan to be started and the position information of the fan to be started according to the serial number information of the fan to be started;
the adding module is used for adding the rotating speed information of the fan to be started and the position information of the fan to be started into the basic information of the fan to be started.
Further, the system further comprises:
the constraint interval module is used for controlling the parameters of the shutter to comprise shutter opening inclination parameters, wherein the inclination constraint interval of the shutter opening inclination parameters is as follows: [0 °,90 ° ];
the random adjustment module is used for carrying out random adjustment based on the inclination constraint interval to obtain a k shutter opening inclination angle parameter;
the retrieval module is used for retrieving according to the position information of the region to be regulated, the rotating speed information of the fan to be started, the position information of the fan to be started and the opening inclination angle parameter of the kth shutter to obtain the kth selected frequency parameter;
the third judging module is used for judging whether the k value meets the preset iteration times or not;
and the second screening module is used for carrying out maximum screening from the first selected frequency parameter to the kth selected frequency parameter if the first selected frequency parameter is met, and obtaining the shutter control parameter optimization result.
Further, the system further comprises:
the first control module is used for controlling the inclination angle control module by the fan shutter and comprises an electromagnetic control module and a shutter control inclination angle control module;
the real-time temperature module is used for closing the electromagnetic control module after the fan shutter starts to work, controlling the fan shutter to start to work according to the shutter control parameter optimization result based on the shutter control inclination angle control module, and acquiring real-time temperature information of the area to be regulated through the house internal ring controller;
and the second control module is used for starting the electromagnetic control module and controlling the fan shutter to be closed when the real-time temperature information does not meet the temperature threshold value.
Through the foregoing detailed description of the intelligent control method of the fan shutter, those skilled in the art can clearly know the intelligent control method and system of the fan shutter in this embodiment, and for the device disclosed in the embodiment, the description is relatively simple because it corresponds to the method disclosed in the embodiment, and relevant places refer to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. An intelligent control method of a fan shutter is characterized by comprising the following steps:
uploading house temperature information through a house internal ring controller;
carrying out regional clustering on the space in the house according to the temperature information in the house to obtain a plurality of regions in the house, wherein the regions in the house comprise a plurality of region characteristic temperatures, and the method comprises the following steps:
acquiring a regional clustering temperature threshold;
acquiring the temperature in the first area house and the temperature in the second area house according to the temperature information in the house, wherein the first area and the second area are adjacent;
based on the regional cluster temperature threshold, determining whether the first regional house temperature and the second regional house temperature are classified into a class includes:
obtaining the absolute value of the temperature difference by differentiating the temperature in the first area house and the temperature in the second area house;
judging whether the absolute value of the temperature difference is larger than or equal to the regional clustering temperature threshold value;
if the temperature is greater than or equal to the first zone internal temperature and the second zone internal temperature cannot be classified into one type;
if the temperature is smaller than the first temperature, the temperature in the first area house and the temperature in the second area house are classified into one type;
if the temperature in the first area house and the temperature in the second area house are classified, calculating a classifying characteristic temperature;
if the temperature in the first area house and the temperature in the second area house cannot be classified, setting the temperature in the first area house as a first area classification characteristic temperature and setting the temperature in the second area house as a second area classification characteristic temperature;
repeating clustering until the classification characteristic temperatures of adjacent areas cannot be classified into one type, and generating the plurality of intra-house areas and the plurality of area characteristic temperatures;
extracting the multiple house internal regions with the characteristic temperatures meeting the temperature threshold values, and setting the regions as regions to be regulated;
performing fan pairing on the area to be regulated and controlled to acquire basic information of a fan to be started;
acquiring shutter control parameters;
according to the basic information of the fan to be started and the area to be regulated, optimizing the control parameters of the shutter to generate an optimized result of the control parameters of the shutter;
and controlling the fan shutter to work according to the shutter control parameter optimization result.
2. The method of claim 1, wherein calculating the categorized feature temperature if the first and second zone temperatures fall into a category comprises:
acquiring a temperature classification calculation formula:
wherein,for the characteristic temperature after clustering any two adjacent areas>For the characteristic temperature of the first zone, +.>For the total number of already clustered temperatures in the first zone, +.>For the characteristic temperature of the second region, +.>Total number of temperatures already clustered in the second region;
and classifying the temperatures in the first area house and the second area house according to the temperature classification calculation formula, and generating the classification characteristic temperature.
3. The method of claim 1, wherein the performing fan pairing for the to-be-regulated area to obtain basic information of the to-be-started fan comprises:
acquiring position information of the region to be regulated according to the region to be regulated;
traversing fan position information according to the position information of the area to be regulated, screening a minimum distance value, and matching the serial number information of the fan to be started;
acquiring the rotating speed information of the fan to be started and the position information of the fan to be started according to the serial number information of the fan to be started;
and adding the rotating speed information of the fan to be started and the position information of the fan to be started into the basic information of the fan to be started.
4. The method of claim 3, wherein the optimizing the shutter control parameters according to the basic information of the fan to be started and the area to be regulated and controlled to generate the shutter control parameter optimizing result comprises:
the shutter control parameters comprise shutter opening inclination parameters, wherein the inclination constraint interval of the shutter opening inclination parameters is as follows: [0 °,90 ° ];
randomly adjusting based on the inclination constraint interval to obtain a kth shutter opening inclination angle parameter;
searching according to the position information of the area to be regulated, the rotating speed information of the fan to be started, the position information of the fan to be started and the opening inclination angle parameter of the kth shutter to obtain a kth selected frequency parameter;
judging whether the k value meets the preset iteration times or not;
and if so, carrying out maximum value screening from the first selected frequency parameter to the kth selected frequency parameter to obtain the shutter control parameter optimization result.
5. The method of claim 1, wherein controlling the fan shutter to operate according to the shutter control parameter optimization result comprises:
the fan shutter comprises an electromagnetic control module and a shutter control inclination angle control module;
when the fan shutter starts to work, closing the electromagnetic control module, controlling the fan shutter to start to work according to the shutter control parameter optimization result based on the shutter control inclination angle control module, and acquiring real-time temperature information of the area to be regulated through the house internal controller;
and when the real-time temperature information does not meet the temperature threshold, starting the electromagnetic control module to control the fan shutter to be closed.
6. An intelligent control system of a fan shutter, comprising:
the uploading module is used for uploading temperature information in the house through the house internal ring controller;
the regional clustering module is used for regional clustering of the space in the house according to the temperature information in the house to obtain a plurality of regions in the house, wherein the regions in the house comprise a plurality of regional characteristic temperatures, and the regional clustering module comprises:
acquiring a regional clustering temperature threshold;
acquiring the temperature in the first area house and the temperature in the second area house according to the temperature information in the house, wherein the first area and the second area are adjacent;
based on the regional cluster temperature threshold, determining whether the first regional house temperature and the second regional house temperature are classified into a class includes:
obtaining the absolute value of the temperature difference by differentiating the temperature in the first area house and the temperature in the second area house;
judging whether the absolute value of the temperature difference is larger than or equal to the regional clustering temperature threshold value;
if the temperature is greater than or equal to the first zone internal temperature and the second zone internal temperature cannot be classified into one type;
if the temperature is smaller than the first temperature, the temperature in the first area house and the temperature in the second area house are classified into one type;
if the temperature in the first area house and the temperature in the second area house are classified, calculating a classifying characteristic temperature;
if the temperature in the first area house and the temperature in the second area house cannot be classified, setting the temperature in the first area house as a first area classification characteristic temperature and setting the temperature in the second area house as a second area classification characteristic temperature;
repeating clustering until the classification characteristic temperatures of adjacent areas cannot be classified into one type, and generating the plurality of intra-house areas and the plurality of area characteristic temperatures;
the extraction module is used for extracting the plurality of regions in the house, the characteristic temperatures of which meet the temperature threshold, and setting the regions as regions to be regulated;
the pairing module is used for carrying out fan pairing on the area to be regulated and controlled and acquiring basic information of a fan to be started;
the parameter acquisition module is used for acquiring shutter control parameters;
the optimizing module is used for optimizing the design of the shutter control parameters according to the basic information of the fan to be started and the area to be regulated and controlled, and generating a shutter control parameter optimizing result;
and the control module is used for controlling the fan shutter to work according to the shutter control parameter optimization result.
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