CN116696831B - Automatic fan air quantity adjusting method based on Internet - Google Patents
Automatic fan air quantity adjusting method based on Internet Download PDFInfo
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- CN116696831B CN116696831B CN202310988794.6A CN202310988794A CN116696831B CN 116696831 B CN116696831 B CN 116696831B CN 202310988794 A CN202310988794 A CN 202310988794A CN 116696831 B CN116696831 B CN 116696831B
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- 230000003247 decreasing effect Effects 0.000 claims description 17
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- 230000033228 biological regulation Effects 0.000 claims description 14
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/004—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids by varying driving speed
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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 relates to the technical field of fan monitoring and adjusting, in particular to an automatic fan air quantity adjusting method based on the Internet, which comprises the following steps: step one: the invention acquires data of the fan rotation speed at each time point when the fan operates in the past period through the fan rotation processing unit, acquires the data of the fan rotation condition when the fan operates, analyzes the internal factor of the fan rotation deviation, acquires and analyzes the data of the temperature change condition when the fan operates, generates an image corresponding to the temperature change state, judges a turntable for heating and cooling, analyzes the rotation and the temperature change through the acquisition and the analysis of the surrounding environment, judges whether the operation of the fan is overloaded or not, adjusts according to the judging result, increases the accuracy of the data analysis, increases the safety when the fan operates, and avoids damage caused by the overload when the fan operates.
Description
Technical Field
The invention relates to the technical field of fan monitoring and adjusting, in particular to an automatic fan air quantity adjusting method based on the Internet.
Background
The fan is a device for accelerating air circulation by using a driving device to drive fan blades to rotate, is widely applied to various fields and is used for adjusting air temperature, and the load of the fan is gradually increased along with the running time of the fan, so that the fan can be damaged to a certain extent over time.
At present, a corresponding air quantity gear is set for the operation of the fan, and when the fan is operated, the gear is shifted down or shifted up through manual adjustment, but the method consumes a great deal of manpower resources, and the accuracy of the operation load of the fan is judged to be low through manual operation, so that the fan cannot be analyzed according to the real-time operation condition of the fan, and the automatic adjustment is carried out according to the analysis result.
Therefore, we propose an automatic fan air volume adjusting method based on the Internet.
Disclosure of Invention
The invention aims to provide an automatic fan air quantity adjusting method based on the Internet, which is characterized in that data acquisition is carried out on the rotation condition of a fan during operation, deviation analysis of the rotation speed is carried out on the rotation condition of the fan during operation, so that internal factor analysis is carried out on the rotation deviation of the fan, the temperature change condition of the fan during re-operation is carried out on the data acquisition and analysis, an image corresponding to the temperature change condition of the fan during operation is generated, temperature rise and temperature reduction is judged according to the operation state image, rotation and temperature change during operation of the fan are combined and analyzed through the acquisition and analysis of the surrounding environment of the fan during operation, so that whether the operation of the fan is overloaded is judged, adjustment is carried out according to the judgment result, the accuracy of data analysis is improved, the safety during operation of the fan is improved, and damage caused during overload during operation of the fan is avoided.
The aim of the invention can be achieved by the following technical scheme: the automatic fan air quantity adjusting method based on the Internet specifically comprises the following steps:
step one: acquiring data of the fan rotation speed of each time point of running of the fan in a past period of time through a fan rotation processing unit, and performing autorotation influence analysis operation according to the acquired data to obtain an inner coefficient of the rotation speed influence;
step two: acquiring data of temperature changes of the fan at all time points operated in a past period of time through a fan temperature analysis unit, and performing self-temperature change processing operation on the fan according to the acquired data to obtain an actual temperature rise speed and an actual temperature drop speed;
step three: extracting influence factors from the overall running condition of the fan in the past period of time through a fan environment judging unit, and carrying out combination judging operation according to the extracted influence factors to obtain a wind speed influence coefficient;
step four: the fan rotation state judging unit is used for combining various influencing factors of the fan running in a past period of time, comprehensive judgment and adjustment operation are carried out according to the combined data, an adjustment signal group is obtained, the adjustment signal group comprises a rotation speed reduction signal, a rotation speed non-adjustment signal, a rotation speed increase signal, a rotation speed reduction signal, a rotation speed non-adjustment signal and a rotation speed increase signal, and the air quantity of the fan is adjusted according to the adjustment signal group.
Further, the specific operation procedure of the rotation influence analysis operation is as follows:
collecting the number of blades of the fan when the fan is running within a period of time and the frequency corresponding to each time point when the fan rotates, and calculating the rotating speed of the fan according to the number of the blades and the frequency;
extracting fan speeds corresponding to a plurality of time points in the same speed gear within a period of time, arranging the fan speeds according to the sequence of the time points to obtain fan speed arrangement data, identifying the fan speeds with different speeds in the fan speed arrangement data, identifying the fan speeds with different speeds and calibrating the fan speeds as fan standard speeds, identifying the occurrence times of each different fan standard speed, calibrating the occurrence times as fan rotation values, and sequencing the fan standard speeds from large to small according to the fan rotation values to obtain fan standard speed sequencing data;
and sorting the rotating speed according to the fan standard rotating speed sorting data to obtain the rotating speed influence inner coefficient.
Further, the specific process of sequencing rotation speed processing is as follows:
calculating the difference value of every two adjacent standard rotating speeds of the fans in the fan standard rotating speed sequencing data, calculating a plurality of fan standard rotating speed difference values, calculating the average value of the plurality of fan standard rotating speed difference values, and calculating the fan standard rotating speed average difference value;
calculating average value of the fan rotating speeds in the fan rotating speed arrangement data, calculating average value of the fan rotating speeds, calculating difference values of the average value of the fan rotating speeds and the fan rotating speeds in the fan rotating speed arrangement data, calculating a plurality of fan rotating speed difference values, calculating average value of the fan rotating speeds, and calculating a rotating speed influence inner coefficient according to the average difference value of the fan rotating speeds and the average difference value of the standard rotating speeds of the fans.
Further, the specific operation procedure of the self-temperature change treatment operation is as follows:
collecting the fan temperature of the fan in the running process, calibrating the fan temperature corresponding to the time point of the fan at the beginning of running as initial fan temperature data, and calibrating the fan temperature corresponding to each time point of the fan in the running process as real-time fan temperature data;
selecting fan temperatures corresponding to different time points, and performing image conversion on the fan temperatures and the time points when the fan is operated to obtain a left extension line, a right extension line, an incremental temperature rise signal, a floating temperature rise signal, a decremental temperature drop signal, a floating temperature drop signal and a constant temperature signal;
when the increasing temperature rise signal, the decreasing temperature drop signal and the constant temperature signal are simultaneously identified, an increasing and decreasing signal is generated, and when the floating temperature increase signal, the floating temperature drop signal and the constant temperature signal are simultaneously identified, a fluctuation signal is generated;
signal assignment is carried out on the increase and decrease signals and the fluctuation signals, and the signals are marked asI=1, 2; when i=1, signal assignment +.>The assignment corresponding to the increase or decrease signal is indicated, when i=2, the signal assignment +.>A value corresponding to the fluctuation signal;
calculating the time spent for reaching the temperature peak value in the left extension line, calibrating the time spent for reaching the initial point of the constant temperature signal from the temperature peak value in the right extension line as a time spent for reaching the initial point of the constant temperature signal, calibrating the time spent for reaching the time spent after the temperature peak value as a time spent after the temperature peak, calculating the temperature rise speed by calculating the speed of temperature rise of the temperature peak value and the time spent before the temperature peak value, calculating the speed of temperature reduction by calculating the difference between the temperature peak value and the temperature corresponding to the initial point of the constant temperature signal and the time spent after the temperature peak value, and calculating the temperature reduction speed;
according to the calculation formula: and calculating the actual temperature rise speed and the actual temperature drop speed by using the actual temperature rise speed = temperature rise speed x signal assignment x deviation adjustment factor and the actual temperature drop speed = temperature drop speed x signal assignment x deviation adjustment factor.
Further, the specific process of image conversion is as follows:
taking the temperature of a fan as a Y-axis value, taking the running time of the fan as an X-axis value, selecting a vertical extension line focus corresponding to an X-axis and a Y-axis, calibrating the vertical extension line focus as a plurality of coordinate points, connecting the coordinate points to form a warm-time image on a plane rectangular coordinate, selecting fan temperature data corresponding to the Y-axis according to the warm-time image, calibrating the fan temperature with the highest Y-axis value as a temperature peak value, extending towards two sides based on the temperature peak value, and marking coordinate point connecting lines formed by the fan temperatures corresponding to the two extending directions and time points as left extension lines and right extension lines respectively;
based on a coordinate point corresponding to the temperature peak value, taking a left extension line as a measure, generating an incremental temperature rise signal when the Y-axis value of the left extension line is gradually reduced, and generating a floating temperature rise signal when the Y-axis value of the right extension line is not fluctuated along with the time variation;
based on a coordinate point corresponding to the temperature peak value, the right extension line is taken as a measure, when the Y-axis value of the right extension line is gradually reduced, a temperature decreasing signal is generated, when the Y-axis value of the right extension line is fluctuated along with time, a floating temperature decreasing signal is generated, when the Y-axis value of the right extension line is fluctuated along with time, and when the Y-axis value of the right extension line is kept unchanged at a time point of the right extension line, a constant temperature signal is generated.
Further, the specific operation procedure for performing the combination judgment operation is as follows:
the method comprises the steps of collecting the wind speed of the fan affecting the peripheral air circulation of the fan during operation, calibrating the wind speed as wind speed data, extracting fan rotating speeds corresponding to a plurality of time points corresponding to the same speed gear in a period of time, calibrating the fan rotating speeds to be selected, and carrying out wind speed affecting treatment on different wind speed data during operation of the selected fan rotating speeds, wherein the specific steps are as follows:
calculating the difference value of the different wind speed data in pairs, calculating a plurality of wind speed difference values, selecting corresponding different selected fan rotating speeds according to the wind speed difference values, calculating the difference value of the selected fan rotating speeds in pairs, calculating a plurality of wind speed difference values and corresponding selected fan rotating speed difference values, and calculating a wind speed influence factor according to a calculation formula: selecting a fan rotating speed difference value = wind speed difference value x wind speed influence factor, reversely deducing a wind speed influence factor, calculating a plurality of wind speed difference values and wind speed influence factors corresponding to the corresponding selected fan rotating speed difference values according to a calculation mode of the wind speed influence factors, carrying out mean value calculation on the plurality of wind speed influence factors, and calculating a wind speed influence coefficient;
extracting fan rotating speeds of different gears corresponding to the same wind speed data, selecting corresponding fan temperatures according to the fan rotating speeds of different gears, performing difference value calculation on a plurality of fan rotating speeds and corresponding fan temperatures, calculating a plurality of corresponding rotating speed influence factors, performing average value calculation on a plurality of rotating speed influence factors, and calculating rotating speed influence external factors, wherein the method specifically comprises the following steps of: (first fan temperature-second fan temperature) = (first fan speed-second fan speed) x rotational speed influencing external factor, the rotational speed influencing external factor is deduced in reverse.
Further, the specific operation process of the comprehensive judgment and adjustment operation is as follows:
extracting a rotational speed influence external factor and a corresponding rotational speed influence internal coefficient, calculating a rotational speed influence coefficient according to a mean value calculation formula, extracting a plurality of wind speed data in a period of time, and calculating a selected wind speed mean value according to the mean value calculation formula;
the fan operation evaluation calculation is carried out on the selected wind speed average value, the fan rotating speed average value, the rotating speed influence coefficient, the actual temperature rise speed, the actual temperature fall speed and the wind speed influence coefficient to calculate the temperature change calculation value；
Adjusting and analyzing the fan of the left extension line according to the calculation formula: (temperature peak value-initial fan temperature data) = (actual temperature rise speed+temperature change calculation value) x change consumption value, calculating change consumption time value, calculating difference value between temperature peak front consumption value and change consumption value, calculating time change difference, comparing time change difference with time change threshold, when the time change difference is greater than time change threshold, generating a rotation speed reduction signal, when the time change difference is less than or equal to time change threshold, generating a rotation speed non-adjustment signal, when the time change difference is less than zero, generating a rotation speed adjustment signal;
according to the processing methods of the first rotation speed regulating signal, the second rotation speed non-regulating signal and the first rotation speed regulating signal, the fans on the right extending line are subjected to regulation analysis to obtain a second rotation speed regulating signal, a second rotation speed non-regulating signal and a second rotation speed regulating signal;
when the first signal or the second signal of the rotation speed regulation is identified, the air quantity regulation is performed, when the first signal or the second signal of the rotation speed regulation is identified, the air quantity regulation is not performed, and when the first signal or the second signal of the rotation speed regulation is identified, the air quantity regulation is performed.
The invention has the beneficial effects that:
according to the invention, data acquisition is carried out on the rotation condition of the fan during operation, deviation analysis of the rotation speed is carried out according to the rotation condition of the fan during operation, so that internal factor analysis is carried out on the rotation deviation of the fan, data acquisition analysis is carried out on the temperature change condition of the fan during re-operation, so that an image corresponding to the temperature change condition of the fan during movement is generated, temperature rise and temperature reduction are judged according to the operation state image, the rotation and the temperature change of the fan during operation are combined and analyzed through the acquisition analysis of the surrounding environment of the fan during operation, whether the operation of the fan is overloaded is judged, and adjustment is carried out according to the judgment result, so that the accuracy of data analysis is increased, the safety of the fan during operation is increased, and damage caused by the fan during operation overload is avoided.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in connection with the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention relates to an automatic fan air quantity adjusting method based on the Internet, which specifically comprises the following steps:
step one: the fan rotation processing unit is used for acquiring data of detailed data of each time point of running of the fan in a period of time, the method for acquiring the data is realized through the Internet, the wind transportation operation is carried out according to the acquired data, the condition of the running fan is better understood from the fan by analyzing the condition of the running fan, the influence factors existing in the fan are clear, the perseverance of the data is improved, and the specific operation process of the wind transportation operation is as follows:
the method comprises the steps of collecting the number of blades of the fan in running and the frequency corresponding to each time point when the fan rotates within a period of time, and calculating the rotating speed of the fan according to the number of the blades and the frequency, wherein the specific calculation formula of the rotating speed of the fan is as follows: fan speed = 120x frequency/number of blades, where the unit of frequency is Hz;
extracting fan speeds corresponding to a plurality of time points in the same speed gear within a period of time, arranging the fan speeds according to the sequence of the time points to obtain fan speed arrangement data, identifying the fan speeds with different speeds in the fan speed arrangement data, identifying the fan speeds with different speeds and calibrating the fan speeds as fan standard speeds, identifying the occurrence times of each different fan standard speed, calibrating the occurrence times as fan rotation values, and sequencing the fan standard speeds from large to small according to the fan rotation values to obtain fan standard speed sequencing data;
calculating the difference value of every two adjacent standard rotating speeds of the fans in the fan standard rotating speed sequencing data, calculating a plurality of fan standard rotating speed difference values, calculating the average value of the plurality of fan standard rotating speed difference values, and calculating the fan standard rotating speed average difference value;
calculating the average value of the fan rotating speeds in the fan rotating speed arrangement data, calculating the average value of the fan rotating speeds, calculating a plurality of fan rotating speed differences by respectively calculating the difference value of the fan rotating speeds with the fan rotating speeds in the fan rotating speed arrangement data, calculating the average value of the fan rotating speeds by carrying out average value calculation on the plurality of fan rotating speed differences, and substituting the average difference value of the fan rotating speeds and the average difference value of the fan standard rotating speeds into a calculation formula: the rotation speed influence internal coefficient= (fan rotation speed average value x wind rotation weight coefficient+fan standard rotation speed average value x standard rotation weight coefficient) xA1/2, wherein A1 is represented as a deviation correction factor, the wind rotation weight coefficient is represented as a weight coefficient of the fan rotation speed average value, and the standard rotation weight coefficient is represented as a weight coefficient of the fan standard rotation speed average value;
step two: the temperature change of the fan at different time points is acquired through a fan temperature analysis unit, the method for acquiring data is realized through the Internet, the temperature change condition of the fan during operation is analyzed according to the acquired temperature change, and therefore the change rule of the fan temperature along with the operation time length is assigned;
collecting the fan temperature of the fan in the running process, calibrating the fan temperature corresponding to the time point of the fan at the beginning of running as initial fan temperature data, and calibrating the fan temperature corresponding to each time point of the fan in the running process as real-time fan temperature data;
selecting fan temperatures corresponding to different time points, and performing image conversion on the fan temperatures and the time points of the operation of the fan, wherein the method specifically comprises the following steps of: taking the temperature of a fan as a Y-axis value, taking the running time of the fan as an X-axis value, selecting a vertical extension line focus corresponding to an X-axis and a Y-axis, calibrating the vertical extension line focus as a plurality of coordinate points, connecting the coordinate points to form a warm-time image on a plane rectangular coordinate, selecting fan temperature data corresponding to the Y-axis according to the warm-time image, calibrating the fan temperature with the highest Y-axis value as a temperature peak value, extending towards two sides based on the temperature peak value, and marking coordinate point connecting lines formed by the fan temperatures corresponding to the two extending directions and time points as left extension lines and right extension lines respectively;
based on a coordinate point corresponding to a temperature peak value, taking a left extension line as a measure, when the Y-axis value of the left extension line is gradually reduced, judging that the left extension line presents an increasing trend, generating an increasing temperature rise signal, and when the Y-axis value of the right extension line is fluctuant and uneven along with the time change, judging that the right extension line presents a floating increasing trend, and generating a floating temperature increase signal;
based on a coordinate point corresponding to a temperature peak value, taking a right extension line as a measure, when the Y-axis value of the right extension line is gradually reduced, judging that the right extension line is in a descending trend, generating a descending temperature drop signal, when the Y-axis value of the right extension line is fluctuant along with time change, judging that the right extension line is in a floating reducing trend, generating a floating temperature drop signal, and when the Y-axis value of the right extension line is changed along with time and is kept unchanged at one time point of the right extension line, judging that the right extension line is in a keeping state, and generating a constant temperature signal;
identifying an incremental temperature rise signal, a floating temperature rise signal, a decremental temperature drop signal, a floating temperature drop signal and a constant temperature signal, judging that the self temperature of the fan changes incrementally and progressively along with the change of the running time when the incremental temperature rise signal, the decremental temperature drop signal and the constant temperature signal are identified at the same time, generating an increase and decrease signal, and judging that the self temperature of the fan changes floatingly along with the change of the running time when the floating temperature rise signal, the floating temperature drop signal and the constant temperature signal are identified at the same time, and generating a fluctuation signal;
signal assignment is carried out on the increase and decrease signals and the fluctuation signals, and the signals are marked asI=1, 2; when i=1, signal assignment +.>The assignment corresponding to the increase or decrease signal is indicated, when i=2, the signal assignment +.>Expressed as wave motionAssigning corresponding signals;
calculating the time spent for reaching the temperature peak value in the left extension line, calibrating the time spent for reaching the initial point of the constant temperature signal from the temperature peak value in the right extension line as a temperature peak front consumption value, calibrating the time spent for reaching the initial point of the constant temperature signal from the temperature peak value as a temperature peak rear consumption value, calculating the speed of temperature rise of the temperature peak value and the temperature peak front consumption value, calculating the speed of temperature rise of the temperature peak value and the temperature (temperature peak-initial fan temperature data)/the temperature peak front consumption value, calculating the speed of temperature reduction of the difference value between the temperature peak value and the temperature corresponding to the initial point of the constant temperature signal and the temperature peak rear consumption value, and calculating the speed of temperature reduction of the temperature peak value and the temperature corresponding to the initial point of the constant temperature signal)/the temperature peak rear consumption value;
the temperature rise speed and the temperature drop speed are respectively subjected to influence calculation with signal assignment, and the method specifically comprises the following steps: actual temperature rise speed = temperature rise speed x signal assignment x deviation adjustment factor, actual temperature drop speed = temperature drop speed x signal assignment x deviation adjustment factor;
step three: the fan environment judging unit is used for converting the influence of factors on the overall running condition of the fan, so that the environment factors of the fan and the running condition of the fan are combined, the environment factors of the fan and the running condition of the fan are extracted and transmitted through the Internet, and various influence factors of the running of the fan are judged;
the method comprises the steps of collecting the wind speed of the fan affecting the peripheral air circulation of the fan during operation, calibrating the wind speed as wind speed data, extracting fan rotating speeds corresponding to a plurality of time points corresponding to the same speed gear in a period of time, calibrating the fan rotating speeds to be selected, collecting data at the position through an internet technology, and carrying out wind speed affecting treatment on different wind speed data when the selected fan rotating speeds operate, wherein the method comprises the following specific steps:
calculating the difference value of the different wind speed data in pairs, calculating a plurality of wind speed difference values, selecting corresponding different selected fan rotating speeds according to the wind speed difference values, calculating the difference value of the selected fan rotating speeds in pairs, calculating a plurality of wind speed difference values and corresponding selected fan rotating speed difference values, and calculating a wind speed influence factor according to a calculation formula: selecting a fan rotating speed difference value = wind speed difference value x wind speed influence factor, reversely deducing a wind speed influence factor, calculating a plurality of wind speed difference values and wind speed influence factors corresponding to the corresponding selected fan rotating speed difference values according to a calculation mode of the wind speed influence factors, carrying out mean value calculation on the plurality of wind speed influence factors, and calculating a wind speed influence coefficient;
extracting fan rotating speeds of different gears corresponding to the same wind speed data, selecting corresponding fan temperatures according to the fan rotating speeds of different gears, performing difference value calculation on a plurality of fan rotating speeds and corresponding fan temperatures, calculating a plurality of corresponding rotating speed influence factors, performing average value calculation on a plurality of rotating speed influence factors, and calculating rotating speed influence external factors, wherein the method specifically comprises the following steps of: (first fan temperature-second fan temperature) = (first fan speed-second fan speed) x speed influencing external factor, and inversely deriving a speed influencing external factor;
step four: judging whether the real-time running condition of the fan is abnormal or not by judging the running condition of the fan and the running condition of the fan through a fan running condition judging unit, and correspondingly adjusting according to the judging result;
extracting a rotational speed influence external factor and a corresponding rotational speed influence internal coefficient, calculating a rotational speed influence coefficient according to a mean value calculation formula, extracting a plurality of wind speed data in a period of time, and calculating a selected wind speed mean value according to the mean value calculation formula;
the fan operation evaluation calculation is carried out on the selected wind speed average value, the fan rotating speed average value, the rotating speed influence coefficient, the actual temperature rise speed, the actual temperature drop speed and the wind speed influence coefficient, wherein the specific calculation formula is as follows:
，
wherein, the liquid crystal display device comprises a liquid crystal display device,expressed as calculated temperature change,/->Expressed as the mean value of wind speed>Indicating a preset wind speed value corresponding to the fan rotation speed without influencing the fan rotation speed, < >>Expressed as wind speed influence coefficient>Expressed as fan speed mean>A preset rotation speed value corresponding to the temperature of the fan is not influenced>Expressed as a rotation speed influence coefficient;
adjusting and analyzing the fan of the left extension line according to the calculation formula: (temperature peak value-initial fan temperature data) = (actual temperature rise speed+temperature change calculation value) x change consumption value, calculate change consumption time value, calculate difference between temperature peak front consumption value and change consumption value, calculate time change difference, compare time change difference with time change threshold, when time change difference is greater than time change threshold, judge fan operation load is big, generate rotation speed down signal, when time change difference is less than or equal to time change threshold, judge fan operation load is normal, generate rotation speed up signal, when time change difference is less than zero, judge fan operation is not up to load, generate rotation speed up signal;
adjusting and analyzing the fan of the right extension line according to the calculation formula: (temperature peak value-temperature corresponding to initial point of constant temperature signal) = (actual temperature drop speed+temperature change calculated value) x cooling time, calculating difference value between cooling time and time-consuming value after temperature peak, calculating cooling change value, comparing cooling change value with cooling change threshold, when cooling change value is greater than cooling change threshold, judging that cooling time of fan is long, generating rotating speed regulating signal, when cooling change value is less than or equal to cooling change threshold, judging that temperature drop speed is normal, generating rotating speed regulating signal, when cooling change value is less than zero, judging that fan can be lifted, and generating rotating speed regulating signal;
identifying a first rotation speed decreasing signal, a first rotation speed non-decreasing signal, a first rotation speed increasing signal, a second rotation speed decreasing signal, a second rotation speed non-decreasing signal and a second rotation speed increasing signal, performing air volume decreasing operation when the first rotation speed decreasing signal or the second rotation speed decreasing signal is identified, not performing air volume adjustment when the first rotation speed non-decreasing signal or the second rotation speed non-decreasing signal is identified, and performing air volume increasing operation when the first rotation speed increasing signal or the second rotation speed increasing signal is identified;
the period of time referred to in the present invention is defined as twenty-four times from the first zero time of the last week to the last day of the last week.
The data acquisition and data transmission related to the invention are realized through the Internet.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (6)
1. The automatic fan air quantity adjusting method based on the Internet is characterized by comprising the following steps of:
step one: acquiring data of the fan rotation speed of each time point of running of the fan in a past period of time through a fan rotation processing unit, and performing autorotation influence analysis operation according to the acquired data to obtain an inner coefficient of the rotation speed influence;
step two: acquiring data of temperature changes of the fan at all time points operated in a past period of time through a fan temperature analysis unit, and performing self-temperature change processing operation on the fan according to the acquired data to obtain an actual temperature rise speed and an actual temperature drop speed;
step three: extracting influence factors from the overall running condition of the fan in the past period of time through a fan environment judging unit, and carrying out combination judging operation according to the extracted influence factors to obtain a wind speed influence coefficient;
step four: the fan rotation state judging unit is used for combining various influencing factors of the fan running in a period of time in the past, and comprehensively judging and adjusting according to the inner coefficient of the influence of the rotating speed, the actual temperature rise speed, the actual temperature drop speed and the wind speed influence coefficient, wherein the specific operation process is as follows:
extracting a rotational speed influence external factor and a corresponding rotational speed influence internal coefficient, calculating a rotational speed influence coefficient according to a mean value calculation formula, extracting a plurality of wind speed data in a period of time, and calculating a selected wind speed mean value according to the mean value calculation formula;
the fan operation evaluation calculation is carried out on the selected wind speed average value, the fan rotating speed average value, the rotating speed influence coefficient, the actual temperature rise speed, the actual temperature fall speed and the wind speed influence coefficient to calculate the temperature change calculation value；
Adjusting and analyzing the fan of the left extension line according to the calculation formula: (temperature peak value-initial fan temperature data) = (actual temperature rise speed+temperature change calculation value) x change consumption value, calculating change consumption time value, calculating difference value between temperature peak front consumption value and change consumption value, calculating time change difference, comparing time change difference with time change threshold, when the time change difference is greater than time change threshold, generating a rotation speed reduction signal, when the time change difference is less than or equal to time change threshold, generating a rotation speed non-adjustment signal, when the time change difference is less than zero, generating a rotation speed adjustment signal;
according to the processing methods of the first rotation speed regulating signal, the second rotation speed non-regulating signal and the first rotation speed regulating signal, the fans on the right extending line are subjected to regulation analysis to obtain a second rotation speed regulating signal, a second rotation speed non-regulating signal and a second rotation speed regulating signal;
when the first signal or the second signal of the rotation speed regulation is identified, the air quantity regulation is performed, when the first signal or the second signal of the rotation speed regulation is identified, the air quantity regulation is not performed, and when the first signal or the second signal of the rotation speed regulation is identified, the air quantity regulation is performed.
2. The automatic fan air quantity adjusting method based on the internet as claimed in claim 1, wherein the operation process of performing the rotation influence analysis according to the acquired data is as follows:
collecting the number of blades of the fan when the fan is running within a period of time and the frequency corresponding to each time point when the fan rotates, and calculating the rotating speed of the fan according to the number of the blades and the frequency;
extracting fan speeds corresponding to a plurality of time points in the same speed gear within a period of time, arranging the fan speeds according to the sequence of the time points to obtain fan speed arrangement data, identifying the fan speeds with different speeds in the fan speed arrangement data, identifying the fan speeds with different speeds and calibrating the fan speeds as fan standard speeds, identifying the occurrence times of each different fan standard speed, calibrating the occurrence times as fan rotation values, and sequencing the fan standard speeds from large to small according to the fan rotation values to obtain fan standard speed sequencing data;
and sorting the rotating speed according to the fan standard rotating speed sorting data to obtain the rotating speed influence inner coefficient.
3. The automatic fan air quantity adjusting method based on the internet as claimed in claim 2, wherein the specific process of performing the sorting rotation speed processing according to the fan standard rotation speed sorting data is as follows:
calculating the difference value of every two adjacent standard rotating speeds of the fans in the fan standard rotating speed sequencing data, calculating a plurality of fan standard rotating speed difference values, calculating the average value of the plurality of fan standard rotating speed difference values, and calculating the fan standard rotating speed average difference value;
calculating average value of the fan rotating speeds in the fan rotating speed arrangement data, calculating average value of the fan rotating speeds, calculating difference values of the average value of the fan rotating speeds and the fan rotating speeds in the fan rotating speed arrangement data, calculating a plurality of fan rotating speed difference values, calculating average value of the fan rotating speeds, and calculating a rotating speed influence inner coefficient according to the average difference value of the fan rotating speeds and the average difference value of the standard rotating speeds of the fans.
4. The automatic fan air quantity adjusting method based on the internet as claimed in claim 3, wherein the self-temperature change processing operation process of the fan according to the collected data is as follows:
collecting the fan temperature of the fan in the running process, calibrating the fan temperature corresponding to the time point of the fan at the beginning of running as initial fan temperature data, and calibrating the fan temperature corresponding to each time point of the fan in the running process as real-time fan temperature data;
selecting fan temperatures corresponding to different time points, and performing image conversion on the fan temperatures and the time points when the fan is operated to obtain a left extension line, a right extension line, an incremental temperature rise signal, a floating temperature rise signal, a decremental temperature drop signal, a floating temperature drop signal and a constant temperature signal;
when the increasing temperature rise signal, the decreasing temperature drop signal and the constant temperature signal are simultaneously identified, an increasing and decreasing signal is generated, and when the floating temperature increase signal, the floating temperature drop signal and the constant temperature signal are simultaneously identified, a fluctuation signal is generated;
signal assignment is carried out on the increase and decrease signals and the fluctuation signals, and the signals are marked asI=1, 2; when i=1, signal assignment +.>The assignment corresponding to the increase or decrease signal is indicated, when i=2, the signal assignment +.>A value corresponding to the fluctuation signal;
calculating the time spent for reaching the temperature peak value in the left extension line, calibrating the time spent for reaching the initial point of the constant temperature signal from the temperature peak value in the right extension line as a time spent for reaching the initial point of the constant temperature signal, calibrating the time spent for reaching the time spent after the temperature peak value as a time spent after the temperature peak, calculating the temperature rise speed by calculating the speed of temperature rise of the temperature peak value and the time spent before the temperature peak value, calculating the speed of temperature reduction by calculating the difference between the temperature peak value and the temperature corresponding to the initial point of the constant temperature signal and the time spent after the temperature peak value, and calculating the temperature reduction speed;
according to the calculation formula: and calculating the actual temperature rise speed and the actual temperature drop speed by using the actual temperature rise speed = temperature rise speed x signal assignment x deviation adjustment factor and the actual temperature drop speed = temperature drop speed x signal assignment x deviation adjustment factor.
5. The automatic fan air quantity adjusting method based on the internet as set forth in claim 4, wherein the specific process of selecting the fan temperature corresponding to different time points and performing image conversion with the time point of the fan operation is as follows:
taking the temperature of a fan as a Y-axis value, taking the running time of the fan as an X-axis value, selecting a vertical extension line focus corresponding to an X-axis and a Y-axis, calibrating the vertical extension line focus as a plurality of coordinate points, connecting the coordinate points to form a warm-time image on a plane rectangular coordinate, selecting fan temperature data corresponding to the Y-axis according to the warm-time image, calibrating the fan temperature with the highest Y-axis value as a temperature peak value, extending towards two sides based on the temperature peak value, and marking coordinate point connecting lines formed by the fan temperatures corresponding to the two extending directions and time points as left extension lines and right extension lines respectively;
based on a coordinate point corresponding to the temperature peak value, taking a left extension line as a measure, generating an incremental temperature rise signal when the Y-axis value of the left extension line is gradually reduced, and generating a floating temperature rise signal when the Y-axis value of the right extension line is not fluctuated along with the time variation;
based on a coordinate point corresponding to the temperature peak value, the right extension line is taken as a measure, when the Y-axis value of the right extension line is gradually reduced, a temperature decreasing signal is generated, when the Y-axis value of the right extension line is fluctuated along with time, a floating temperature decreasing signal is generated, when the Y-axis value of the right extension line is fluctuated along with time, and when the Y-axis value of the right extension line is kept unchanged at a time point of the right extension line, a constant temperature signal is generated.
6. The automatic fan air volume adjusting method based on the internet as claimed in claim 5, wherein the specific operation process of performing the combination judgment operation according to the extracted influence factors is as follows:
the method comprises the steps of collecting the wind speed of the fan affecting the peripheral air circulation of the fan during operation, calibrating the wind speed as wind speed data, extracting fan rotating speeds corresponding to a plurality of time points corresponding to the same speed gear in a period of time, calibrating the fan rotating speeds to be selected, and carrying out wind speed affecting treatment on different wind speed data during operation of the selected fan rotating speeds, wherein the specific steps are as follows:
calculating the difference value of the different wind speed data in pairs, calculating a plurality of wind speed difference values, selecting corresponding different selected fan rotating speeds according to the wind speed difference values, calculating the difference value of the selected fan rotating speeds in pairs, calculating a plurality of wind speed difference values and corresponding selected fan rotating speed difference values, and calculating a wind speed influence factor according to a calculation formula: selecting a fan rotating speed difference value = wind speed difference value x wind speed influence factor, reversely deducing a wind speed influence factor, calculating a plurality of wind speed difference values and wind speed influence factors corresponding to the corresponding selected fan rotating speed difference values according to a calculation mode of the wind speed influence factors, carrying out mean value calculation on the plurality of wind speed influence factors, and calculating a wind speed influence coefficient;
extracting fan rotating speeds of different gears corresponding to the same wind speed data, selecting corresponding fan temperatures according to the fan rotating speeds of different gears, performing difference value calculation on a plurality of fan rotating speeds and corresponding fan temperatures, calculating a plurality of corresponding rotating speed influence factors, performing average value calculation on a plurality of rotating speed influence factors, and calculating rotating speed influence external factors, wherein the method specifically comprises the following steps of: (first fan temperature-second fan temperature) = (first fan speed-second fan speed) x rotational speed influencing external factor, the rotational speed influencing external factor is deduced in reverse.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106050718A (en) * | 2016-07-12 | 2016-10-26 | 邦彦技术股份有限公司 | Intelligent fan control method and system |
| CN116025581A (en) * | 2022-12-15 | 2023-04-28 | 苏州浪潮智能科技有限公司 | Fan regulation and control method and device, electronic equipment and storage medium |
| CN116066395A (en) * | 2023-03-17 | 2023-05-05 | 山东云海国创云计算装备产业创新中心有限公司 | Method, system, equipment and medium for regulating rotation speed of server fan |
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| US10136549B2 (en) * | 2016-05-02 | 2018-11-20 | Lutron Electronics Co., Inc. | Fan speed control device |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106050718A (en) * | 2016-07-12 | 2016-10-26 | 邦彦技术股份有限公司 | Intelligent fan control method and system |
| CN116025581A (en) * | 2022-12-15 | 2023-04-28 | 苏州浪潮智能科技有限公司 | Fan regulation and control method and device, electronic equipment and storage medium |
| CN116066395A (en) * | 2023-03-17 | 2023-05-05 | 山东云海国创云计算装备产业创新中心有限公司 | Method, system, equipment and medium for regulating rotation speed of server fan |
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