CN113389749B - Low pressure air-blower thing networking remote control system - Google Patents
Low pressure air-blower thing networking remote control system Download PDFInfo
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- CN113389749B CN113389749B CN202110711169.8A CN202110711169A CN113389749B CN 113389749 B CN113389749 B CN 113389749B CN 202110711169 A CN202110711169 A CN 202110711169A CN 113389749 B CN113389749 B CN 113389749B
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- 238000000034 method Methods 0.000 claims description 13
- 239000000523 sample Substances 0.000 claims description 12
- 238000001816 cooling Methods 0.000 claims description 8
- 230000002159 abnormal effect Effects 0.000 claims description 6
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- 238000004364 calculation method Methods 0.000 claims description 3
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- 238000004378 air conditioning Methods 0.000 description 1
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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
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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
- F04D27/001—Testing thereof; Determination or simulation of flow characteristics; Stall or surge detection, e.g. condition monitoring
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a low-voltage blower Internet of things remote control system, and relates to the technical field of blowers; the system comprises a wind pressure monitoring module, a data judging module, a control center, an alarm module, an early warning command module, a data acquisition module, an environment acquisition module and a loss monitoring module; the data judgment module is used for receiving the pressure information group and the image information transmitted by the air pressure monitoring module, performing specified processing and judging whether the connecting pipeline has a problem or not; the control center is used for receiving the equipment information and the environment information, analyzing and processing the equipment information and the environment information to obtain a wind power compensation value; the control center can drive and control the low-pressure blower to operate at the corresponding working frequency Hm according to the wind compensation value, so that the intelligent operation is realized, the energy consumption is reduced, and the working efficiency is improved; the loss monitoring module is used for monitoring the wind temperature and the wind speed of the low-pressure blower and analyzing the loss; therefore, the utilization rate of the air temperature and the air speed of the low-pressure blower is improved, and the energy loss is reduced.
Description
Technical Field
The invention relates to the technical field of blowers, in particular to a low-voltage blower Internet of things remote control system.
Background
The fan is a driven fluid machine which increases the pressure of gas and discharges the gas by means of input mechanical energy. The blower is a Chinese habit abbreviation for gas compression and gas conveying machinery, and generally comprises a ventilator, a blower and a wind driven generator; fans are widely used for ventilation, dust exhaust and cooling of factories, mines, tunnels, cooling towers, vehicles, ships and buildings, and for ventilation and draught of boilers and industrial furnaces and kilns; cooling and ventilation in air conditioning equipment and household appliances; drying and selecting grains, wind source of wind tunnel and inflation and propulsion of air cushion ship; the traditional air blower is mainly divided into a centrifugal fan, an axial flow fan and a mixed flow fan;
the existing air blowers are controlled by body type switches and need manual operation in person, the connection mode of the existing air blowers and equipment can be divided into direct connection and indirect connection, the indirect connection is connected with the equipment through media such as a pipe body, and the like, when the indirect connection is carried out, under the condition that the pipe body is long and the connection distance is long, when the equipment or the pipe body is connected, a worker cannot control the starting and stopping of the air blowers at the first time, and certain potential safety hazards and irreparable consequences are easily caused; meanwhile, the air speed of the air blower cannot be intelligently regulated according to the actual condition of the connecting equipment, and the working efficiency is improved.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a low-pressure blower Internet of things remote control system. The control center receives the equipment information and the environment information to analyze and process to obtain the wind power compensation value, and the temperature information, the humidity information and the air pressure information of the equipment to be cooled can be continuously changed along with the work of the low-pressure blower, so that the control center can drive and control the low-pressure blower to operate at the corresponding working frequency Hm according to the wind power compensation value, the intelligent operation is realized, the energy consumption is reduced, and the working efficiency is improved; the loss monitoring module is used for monitoring the wind temperature and the wind speed of the low-pressure blower and analyzing the loss; calculating to obtain a wind power loss value; if the wind power loss value is larger than the wind power loss threshold value, the wind temperature and the wind speed loss of the low-pressure blower are abnormal, and an early warning instruction is generated; therefore, the utilization rate of the air temperature and the air speed of the low-pressure blower is improved, and the energy loss is reduced.
The purpose of the invention can be realized by the following technical scheme:
a low-pressure blower Internet of things remote control system comprises a wind pressure monitoring module, a data judging module, a control center, an alarm module, an early warning command module, a data acquisition module, an environment acquisition module and a loss monitoring module;
the air outlet of the low-pressure blower is connected with the air inlet of the equipment to be cooled through a connecting pipeline; the connecting pipeline is provided with a wind pressure monitoring module; the data judgment module is used for receiving the pressure information group and the image information transmitted by the air pressure monitoring module, performing specified processing and judging whether the connecting pipeline has a problem or not;
the data acquisition module is used for acquiring equipment information of the equipment to be cooled in real time and transmitting the equipment information to the control center; the environment acquisition module detects indoor environment information in real time and sends the acquired real-time environment information to the control center through a Zigbee wireless network;
the control center is used for receiving the equipment information and the environment information and analyzing and processing the equipment information and the environment information; the method comprises the following specific steps:
s1: marking the temperature information inside the equipment as T1, the humidity information inside the equipment as X1, the volume information inside the equipment as M1 and the air pressure information inside the equipment as Q1;
marking the temperature information in the room as T2, the humidity information in the room as X2 and the air pressure information in the room as Q2;
s2: when the low-pressure blower starts to operate, collecting the air temperature at the air outlet of the low-pressure blower and marking the air temperature as FT;
s3: calculating a wind power compensation value FB by using a formula FB (T2+ FT)/(T1-FT) X b1+ (X1-X2) X b2+ (Q1-Q2) X b3+ M1X b4, wherein b1, b2, b3 and b4 are coefficient factors;
s4: setting working frequency thresholds of a plurality of low-pressure blowers; and labeled Hm, m ═ 1, 2, …, 15; h1 < H2 < … < H15; wherein, different working frequencies correspond to different wind speeds;
setting each working frequency threshold Hm to correspond to a preset wind power compensation value range; the concrete expression is as follows: the preset wind power compensation value range corresponding to H1 is (0, H1), the preset wind power compensation value range corresponding to H2 is (H1, H2], …, the preset wind power compensation value range corresponding to H15 is (H14, H15 ]; H1 is more than 0, H2 is more than …, H15, and H0 is 0;
when the FB belongs to (Hm-1, Hm), the working frequency threshold corresponding to the preset wind power compensation value range is Hm;
s5: the control center drives and controls the low-pressure blower to operate at the working frequency Hm.
Further, the device information includes temperature information, humidity information, volume information, and barometric pressure information inside the device; the environmental information includes indoor temperature information, humidity information, and air pressure information.
Furthermore, the loss monitoring module is used for monitoring the wind temperature and the wind speed of the low-pressure blower and analyzing the loss; the specific analysis process is as follows:
v1: collecting the air temperature and the air speed of an air outlet of the low-pressure blower, and marking the air temperature of the air outlet as CT; marking the wind speed of the air outlet as CX;
collecting the air temperature and the air speed of an air inlet of equipment to be cooled, and marking the air temperature of the air inlet as JT; marking the wind speed of the air inlet as JX;
collecting the length of a connecting pipeline between the air outlet of the low-pressure blower and the air inlet of the cooling equipment, and marking the length as L1;
v2: calculating to obtain a wind power loss value SH by using a formula SH ═ [ (JT-CT) x g1+ (CX-JX) x g2 ]/L1-0.2368; wherein g1 and g2 are coefficient factors;
v3: calculating the time difference between the working start time of the low-pressure blower and the current time of the system to obtain the working time length, and marking the working time length as D1;
setting a plurality of wind power loss thresholds and marking the thresholds as Kx; x is 1, 2, … …, 20; wherein K1 is more than K2 is more than … … is more than K20; each wind power loss threshold Kx corresponds to a preset working time length range and is respectively (k1, k 2), (k2, k 3), …, (k20, k 21), k1 is more than k2, more than … is more than k20, and more than k 21;
when D1 belongs to (Kx, Kx +1], the wind power loss threshold corresponding to the preset working time range is Kx;
if SH is larger than Kx, the wind temperature and the wind speed loss of the low-pressure blower are abnormal, and an early warning instruction is generated;
v4: the loss monitoring module is used for feeding back the early warning instruction to the control center, and the control center controls the low-pressure blower to stop after receiving the early warning instruction; and drives and controls the alarm module to give an alarm.
Further, the wind pressure monitoring module comprises a pressure detection unit, an image detection unit and an infrared scanning probe; the pressure detection unit is a pressure sensor arranged at each position in the connecting pipeline and used for acquiring pressure information groups at each position in the connecting pipeline in real time, the pressure sensors are provided with position marks and used for transmitting the pressure information groups to the data judgment module, the image detection unit is a plurality of cameras distributed on the surface of the connecting pipeline, and the cameras are provided with the position marks and can cover the connecting pipeline; the image detection unit is used for collecting image information of the surface of the connecting pipeline and transmitting the image information to the data judgment module; the infrared scanning probe is used for initially detecting whether the surface of the connecting pipeline is damaged or not.
Further, the specific processing steps of the data judgment module are as follows:
the method comprises the following steps: when the low-pressure blower starts to operate, firstly marking the collected pressure information group as Li, i is 1, …, n; the position identification marks corresponding to the pressure sensors are Wi, and Li and Wi are in one-to-one correspondence;
step two: calculating a standard deviation alpha of the real-time Li information group according to a standard deviation calculation formula, and when the alpha exceeds a preset value, keeping the standard deviation alpha in a state to be verified;
step three: when the pressure sensor is in a to-be-verified state, sorting Li in a sequence from high to low, and setting a first pressure threshold as LA; obtaining all Li higher than LA; label it as affecting pressure LC;
acquiring a position identifier corresponding to the influence pressure LC, marking the position identifier as WC, and marking the position corresponding to the WC as a to-be-verified state;
step four: when the position corresponding to WC is marked as a state to be verified, an infrared scanning probe is used for preliminarily detecting whether the surface of the corresponding position is damaged or not;
when the infrared scanning probe detects that the corresponding position surface is damaged, the depth of the damaged position is obtained through the infrared distance meter and marked as the damaged depth ZS;
step five: when the position corresponding to WC is marked as a to-be-verified state, acquiring image information of the surface of the pipeline shot by a camera at the position corresponding to WC, comparing the image information with standard image information stored in a database to obtain the area of a damaged area, and marking the area as ZM;
calculating the difference between the influence pressure LC and the first pressure threshold LA to obtain an overpressure value LK;
step six: calculating an early warning value YK by using a formula YK (LK multiplied by a1+ ZS multiplied by a2+ ZM multiplied by a 3), wherein a1, a2 and a3 are coefficient factors;
step seven: comparing the early warning value YK with an early warning threshold value;
if the early warning value YK is larger than or equal to the early warning threshold value, generating an early warning signal; marking the position of the connecting pipeline at the position corresponding to the WC as an early warning position;
the data judgment module is used for transmitting the early warning signal and the corresponding early warning position to the control center, and the control center is used for controlling the low-pressure blower to stop after receiving the early warning signal and the corresponding early warning position; the driving control alarm module sends out an alarm, and simultaneously marks the corresponding early warning position on the map information of the connecting pipeline;
and the early warning command module is used for receiving the early warning signal and the corresponding early warning position and then distributing corresponding maintenance personnel to maintain or replace the connecting pipeline.
The invention has the beneficial effects that:
1. the control center is used for receiving the equipment information and the environment information and analyzing and processing the equipment information and the environment information; combining temperature information, humidity information, volume information and air pressure information in the equipment with indoor temperature information, humidity information and air pressure information; when the low-pressure blower starts to operate, collecting the air temperature at the air outlet of the low-pressure blower and marking the air temperature as FT; calculating by using a formula to obtain a wind power compensation value FB, selecting a working frequency threshold value matched with the wind power compensation value FB, and driving and controlling the low-pressure blower to operate at the working frequency threshold value by using the control center; the control center receives the equipment information and the environment information to analyze and process to obtain the wind power compensation value, and the temperature information, the humidity information and the air pressure information of the equipment to be cooled can be continuously changed along with the work of the low-pressure blower, so that the control center can drive and control the low-pressure blower to operate at the corresponding working frequency Hm according to the wind power compensation value, the intelligent operation is realized, the energy consumption is reduced, and the working efficiency is improved;
2. the loss monitoring module is used for monitoring the wind temperature and the wind speed of the low-pressure blower and analyzing the loss; collecting the air temperature and the air speed of an air outlet of the low-pressure blower and the air temperature and the air speed of an air inlet of equipment to be cooled, and collecting the length of a connecting pipeline between the air outlet of the low-pressure blower and the air inlet of the cooling equipment and marking the length as L1; calculating to obtain a wind power loss value SH by using a formula; calculating the time difference between the working start time of the low-pressure blower and the current time of the system to obtain the working time length, and marking the working time length as D1; selecting a wind power loss threshold Kx matched with the working duration D1; if SH is larger than Kx, the wind temperature and the wind speed loss of the low-pressure blower are abnormal, and an early warning instruction is generated; thereby improving the utilization rate of the air temperature and the air speed of the low-pressure blower and reducing energy loss;
3. the air outlet of the low-pressure blower is connected with the air inlet of the equipment to be cooled through a connecting pipeline, and a wind pressure monitoring module is arranged on the connecting pipeline; the data judgment module is used for receiving the pressure information group and the image information transmitted by the air pressure monitoring module, performing specified processing and judging whether the connecting pipeline has a problem or not; combining the pressure inside the connecting pipe, the damage depth of the surface and the area of the damaged area; calculating to obtain an early warning value YK by using a formula YK (LK multiplied by a1+ ZS multiplied by a2+ ZM multiplied by a 3), and generating an early warning signal if the early warning value YK is larger than or equal to an early warning threshold value; marking the corresponding position of the connecting pipeline as an early warning position; the early warning command module is used for receiving the early warning signal and the corresponding early warning position and then distributing corresponding maintenance personnel to maintain the connecting pipeline or replace a new connecting pipeline; the potential safety hazard is avoided, and the control effect of the low-pressure air blower is improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the internet of things remote control system for the low-pressure blower comprises a wind pressure monitoring module, a data judging module, a control center, an alarm module, an early warning command module, a data acquisition module, an environment acquisition module and a loss monitoring module;
the air outlet of the low-pressure blower is connected with the air inlet of the equipment to be cooled through a connecting pipeline; the connecting pipeline is provided with a wind pressure monitoring module, and the wind pressure monitoring module comprises a pressure detection unit, an image detection unit and an infrared scanning probe; the image detection unit is a plurality of cameras distributed on the surface of the connecting pipeline, and the cameras are provided with position marks and can cover the connecting pipeline; the image detection unit is used for collecting image information of the surface of the connecting pipeline and transmitting the image information to the data judgment module; the infrared scanning probe is used for primarily detecting whether the surface of the connecting pipeline is damaged;
the data judgment module is used for receiving the pressure information group and the image information transmitted by the air pressure monitoring module, performing specified processing and judging whether the connecting pipeline has a problem or not; the specific treatment steps are as follows:
the method comprises the following steps: when the low-pressure blower starts to operate, firstly marking the collected pressure information group as Li, i is 1. The position identification marks corresponding to the pressure sensors are Wi, and Li and Wi are in one-to-one correspondence;
step two: calculating a standard deviation alpha of the real-time Li information group according to a standard deviation calculation formula, and when the alpha exceeds a preset value, keeping the standard deviation alpha in a state to be verified;
step three: when the pressure sensor is in a to-be-verified state, sorting Li in a sequence from high to low, and setting a first pressure threshold as LA; obtaining all Li higher than LA; label it as affecting pressure LC;
acquiring a position identifier corresponding to the influence pressure LC, marking the position identifier as WC, and marking the position corresponding to the WC as a to-be-verified state;
step four: when the position corresponding to WC is marked as a state to be verified, an infrared scanning probe is used for preliminarily detecting whether the surface of the corresponding position is damaged or not;
when the infrared scanning probe detects that the corresponding position surface is damaged, the depth of the damaged position is obtained through the infrared distance meter and marked as the damaged depth ZS;
step five: when the position corresponding to WC is marked as a to-be-verified state, acquiring image information of the surface of the pipeline shot by a camera at the position corresponding to WC, comparing the image information with standard image information stored in a database to obtain the area of a damaged area, and marking the area as ZM;
calculating the difference between the influence pressure LC and the first pressure threshold LA to obtain an overpressure value LK;
step six: calculating an early warning value YK by using a formula YK (LK multiplied by a1+ ZS multiplied by a2+ ZM multiplied by a 3), wherein a1, a2 and a3 are coefficient factors; for example, a1 takes on a value of 0.11, a2 takes on a value of 0.28, a3 takes on a value of 0.37;
step seven: comparing the early warning value YK with an early warning threshold value;
if the early warning value YK is larger than or equal to the early warning threshold value, generating an early warning signal; marking the position of the connecting pipeline at the position corresponding to the WC as an early warning position;
the data judgment module is used for transmitting the early warning signal and the corresponding early warning position to the control center, and the control center is used for controlling the low-pressure blower to stop after receiving the early warning signal and the corresponding early warning position; the driving control alarm module sends out an alarm, and simultaneously marks the corresponding early warning position on the map information of the connecting pipeline;
the early warning command module is used for receiving the early warning signal and the corresponding early warning position and then distributing corresponding maintenance personnel to maintain the connecting pipeline or replace a new connecting pipeline;
the data acquisition module is used for acquiring equipment information of the equipment to be cooled in real time, wherein the equipment information comprises temperature information, humidity information, volume information and air pressure information in the equipment; and transmitting the equipment information to a control center; the environment acquisition module detects indoor environment information in real time and sends the acquired real-time environment information to the control center through a Zigbee wireless network; the environmental information comprises indoor temperature information, humidity information and air pressure information;
the control center is used for receiving the equipment information and the environment information and analyzing and processing the equipment information and the environment information; the method comprises the following specific steps:
s1: marking the temperature information inside the equipment as T1, the humidity information inside the equipment as X1, the volume information inside the equipment as M1 and the air pressure information inside the equipment as Q1;
marking the temperature information in the room as T2, the humidity information in the room as X2 and the air pressure information in the room as Q2;
s2: when the low-pressure blower starts to operate, collecting the air temperature at the air outlet of the low-pressure blower and marking the air temperature as FT;
s3: calculating a wind power compensation value FB by using a formula FB (T2+ FT)/(T1-FT) X b1+ (X1-X2) X b2+ (Q1-Q2) X b3+ M1X b4, wherein b1, b2, b3 and b4 are coefficient factors;
s4: setting working frequency thresholds of a plurality of low-pressure blowers; and labeled Hm, m ═ 1, 2, …, 15; h1 < H2 < … < H15; wherein different working frequencies correspond to different wind speeds;
setting each working frequency threshold Hm to correspond to a preset wind power compensation value range; the concrete expression is as follows: the preset wind power compensation value range corresponding to H1 is (0, H1), the preset wind power compensation value range corresponding to H2 is (H1, H2], …, the preset wind power compensation value range corresponding to H15 is (H14, H15 ]; H1 is more than 0, H2 is more than …, H15, and H0 is 0;
when the FB belongs to (Hm-1, Hm), the working frequency threshold corresponding to the preset wind power compensation value range is Hm;
s5: the control center drives and controls the low-pressure blower to operate at the working frequency Hm;
the control center receives the equipment information and the environment information to analyze and process to obtain the wind power compensation value, and the temperature information, the humidity information and the air pressure information of the equipment to be cooled can be continuously changed along with the work of the low-pressure blower, so that the control center can drive and control the low-pressure blower to operate at the corresponding working frequency Hm according to the wind power compensation value, the intelligent operation is realized, the energy consumption is reduced, and the working efficiency is improved;
the loss monitoring module is used for monitoring the wind temperature and the wind speed of the low-pressure blower and analyzing the loss; the specific analysis process is as follows:
v1: collecting the air temperature and the air speed of an air outlet of the low-pressure blower, and marking the air temperature of the air outlet as CT; marking the wind speed of the air outlet as CX;
collecting the air temperature and the air speed of an air inlet of equipment to be cooled, and marking the air temperature of the air inlet as JT; marking the wind speed of the air inlet as JX;
collecting the length of a connecting pipeline between the air outlet of the low-pressure blower and the air inlet of the cooling equipment, and marking the length as L1;
v2: calculating to obtain a wind power loss value SH by using a formula SH ═ [ (JT-CT) x g1+ (CX-JX) x g2 ]/L1-0.2368; wherein g1 and g2 are coefficient factors; for example, g1 takes the value 0.44, g2 takes the value 0.39;
v3: calculating the time difference between the working start time of the low-pressure blower and the current time of the system to obtain the working time length, and marking the working time length as D1;
setting a plurality of wind power loss thresholds and marking the thresholds as Kx; x is 1, 2, … …, 20; wherein K1 is more than K2 is more than … … is more than K20; each wind power loss threshold Kx corresponds to a preset working time length range and is respectively (k1, k 2), (k2, k 3), …, (k20, k 21), k1 is more than k2, more than … is more than k20, and more than k 21;
when D1 belongs to (Kx, Kx +1], the wind power loss threshold corresponding to the preset working time range is Kx;
if SH is larger than Kx, the wind temperature and the wind speed loss of the low-pressure blower are abnormal, and an early warning instruction is generated;
v4: the loss monitoring module is used for feeding back the early warning instruction to the control center, and the control center controls the low-pressure blower to stop after receiving the early warning instruction; and drives and controls the alarm module to give an alarm.
The working principle of the invention is as follows:
a remote control system of the Internet of things for a low-voltage blower is characterized in that when the remote control system works, a control center is used for receiving equipment information and environment information and analyzing and processing the equipment information and the environment information; marking the temperature information inside the equipment as T1, the humidity information inside the equipment as X1, the volume information inside the equipment as M1 and the air pressure information inside the equipment as Q1; marking the temperature information in the room as T2, the humidity information in the room as X2 and the air pressure information in the room as Q2; when the low-pressure blower starts to operate, collecting the air temperature at the air outlet of the low-pressure blower and marking the air temperature as FT; calculating to obtain a wind power compensation value FB by using a formula, and setting working frequency thresholds of a plurality of low-voltage blowers; each working frequency threshold value corresponds to a preset wind power compensation value range; selecting a working frequency threshold value matched with the wind power compensation value FB, and driving and controlling the low-voltage blower to operate at the working frequency threshold value by the control center; the control center receives the equipment information and the environment information to analyze and process to obtain the wind power compensation value, and the temperature information, the humidity information and the air pressure information of the equipment to be cooled can be continuously changed along with the work of the low-pressure blower, so that the control center can drive and control the low-pressure blower to operate at the corresponding working frequency Hm according to the wind power compensation value, the intelligent operation is realized, the energy consumption is reduced, and the working efficiency is improved;
the loss monitoring module is used for monitoring the wind temperature and the wind speed of the low-pressure blower and analyzing the loss; collecting the air temperature and the air speed of an air outlet of the low-pressure blower and the air temperature and the air speed of an air inlet of equipment to be cooled, and collecting the length of a connecting pipeline between the air outlet of the low-pressure blower and the air inlet of the cooling equipment and marking the length as L1; calculating to obtain a wind power loss value SH by using a formula; calculating the time difference between the working start time of the low-pressure blower and the current time of the system to obtain the working time length, and marking the working time length as D1; setting a plurality of wind power loss thresholds, wherein each wind power loss threshold corresponds to a preset working duration range, and selecting a wind power loss threshold Kx matched with the working duration D1; if SH is larger than Kx, the wind temperature and the wind speed loss of the low-pressure blower are abnormal, and an early warning instruction is generated; the loss monitoring module is used for feeding back the early warning instruction to the control center, and the control center controls the low-pressure blower to stop after receiving the early warning instruction; and driving and controlling the alarm module to give an alarm; thereby improving the utilization rate of the air temperature and the air speed of the low-pressure blower and reducing energy loss;
the air outlet of the low-pressure blower is connected with the air inlet of the equipment to be cooled through a connecting pipeline, and the connecting pipeline is provided with a wind pressure monitoring module; the data judgment module is used for receiving the pressure information group and the image information transmitted by the air pressure monitoring module, performing specified processing and judging whether the connecting pipeline has a problem or not; combining the pressure inside the connecting pipe, the damage depth of the surface and the area of the damaged area; calculating to obtain an early warning value YK by using a formula YK (LK multiplied by a1+ ZS multiplied by a2+ ZM multiplied by a 3), and generating an early warning signal if the early warning value YK is larger than or equal to an early warning threshold value; marking the corresponding position of the connecting pipeline as an early warning position; the control center is used for receiving the early warning signal and the corresponding early warning position and then controlling the low-pressure blower to stop; the early warning command module is used for receiving the early warning signal and the corresponding early warning position and then distributing corresponding maintenance personnel to maintain the connecting pipeline or replace the connecting pipeline with a new connecting pipeline; the potential safety hazard is avoided, and the control effect of the low-pressure air blower is improved.
The formula and the coefficient factor are both obtained by acquiring a large amount of data to perform software simulation and performing parameter setting processing by corresponding experts, and the formula and the coefficient factor which are consistent with a real result are obtained.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. The Internet of things remote control system of the low-pressure blower is characterized by comprising a wind pressure monitoring module, a data judging module, a control center, an alarm module, an early warning command module, a data acquisition module, an environment acquisition module and a loss monitoring module;
the air outlet of the low-pressure blower is connected with the air inlet of the equipment to be cooled through a connecting pipeline; the connecting pipeline is provided with a wind pressure monitoring module; the data judgment module is used for receiving the pressure information group and the image information transmitted by the air pressure monitoring module, performing specified processing and judging whether the connecting pipeline has a problem or not;
the data acquisition module is used for acquiring equipment information of the equipment to be cooled in real time and transmitting the equipment information to the control center; the environment acquisition module detects indoor environment information in real time and sends the acquired real-time environment information to the control center through a Zigbee wireless network;
the control center is used for receiving the equipment information and the environment information and analyzing and processing the equipment information and the environment information; the method comprises the following specific steps:
s1: marking the temperature information inside the equipment as T1, the humidity information inside the equipment as X1, the volume information inside the equipment as M1 and the air pressure information inside the equipment as Q1;
marking the temperature information in the room as T2, the humidity information in the room as X2 and the air pressure information in the room as Q2;
s2: when the low-pressure blower starts to operate, collecting the air temperature at the air outlet of the low-pressure blower and marking the air temperature as FT;
s3: calculating a wind power compensation value FB by using a formula FB = (T2+ FT)/(T1-FT) xb 1+ (X1-X2) xb 2+ (Q1-Q2) xb 3+ M1 xb 4, wherein b1, b2, b3 and b4 are coefficient factors;
s4: setting working frequency thresholds of a plurality of low-pressure blowers; and labeled Hm, m =1, 2, …, 15; h1 < H2 < … < H15; wherein, different working frequencies correspond to different wind speeds;
setting each working frequency threshold Hm to correspond to a preset wind power compensation value range; the concrete expression is as follows: the preset wind power compensation value range corresponding to H1 is (0, H1), the preset wind power compensation value range corresponding to H2 is (H1, H2], …, the preset wind power compensation value range corresponding to H15 is (H14, H15 ]; wherein 0 < H1 < H2 < … < H15, H0= 0;
when the FB belongs to (Hm-1, Hm), the working frequency threshold corresponding to the preset wind power compensation value range is Hm;
s5: the control center drives and controls the low-pressure blower to operate at the working frequency Hm.
2. The low-pressure blower Internet of things remote control system of claim 1, wherein the equipment information comprises temperature information, humidity information, volume information and air pressure information inside the equipment; the environmental information includes indoor temperature information, humidity information, and air pressure information.
3. The low-pressure blower Internet of things remote control system according to claim 1, wherein the loss monitoring module is used for monitoring the wind temperature and the wind speed of the low-pressure blower and performing loss analysis; the specific analysis process is as follows:
v1: collecting the air temperature and the air speed of an air outlet of the low-pressure blower, and marking the air temperature of the air outlet as CT; marking the wind speed of the air outlet as CX;
collecting the air temperature and the air speed of an air inlet of equipment to be cooled, and marking the air temperature of the air inlet as JT; marking the wind speed of the air inlet as JX;
collecting the length of a connecting pipeline between the air outlet of the low-pressure blower and the air inlet of the cooling equipment, and marking the length as L1;
v2: calculating a wind power loss value SH by using a formula SH = [ (JT-CT) xg 1+ (CX-JX) xg 2 ]/L1-0.2368; wherein g1 and g2 are coefficient factors;
v3: calculating the time difference between the working start time of the low-pressure blower and the current time of the system to obtain the working time length, and marking the working time length as D1;
setting a plurality of wind power loss thresholds and marking the thresholds as Kx; x =1, 2, … …, 20; wherein K1 is more than K2 is more than … … is more than K20; each wind power loss threshold Kx corresponds to a preset working time length range and is respectively (k1, k 2), (k2, k 3), …, (k20, k 21), k1 is more than k2, more than … is more than k20, and more than k 21;
when D1 belongs to (Kx, Kx +1], the wind power loss threshold corresponding to the preset working time range is Kx;
if SH is larger than Kx, the wind temperature and the wind speed loss of the low-pressure blower are abnormal, and an early warning instruction is generated;
v4: the loss monitoring module is used for feeding back the early warning instruction to the control center, and the control center controls the low-pressure blower to stop after receiving the early warning instruction; and drives and controls the alarm module to give an alarm.
4. The low-pressure blower Internet of things remote control system according to claim 1, wherein the wind pressure monitoring module comprises a pressure detection unit, an image detection unit and an infrared scanning probe; the pressure detection unit is a pressure sensor arranged at each position in the connecting pipeline and used for acquiring pressure information groups at each position in the connecting pipeline in real time, the pressure sensors are provided with position marks and used for transmitting the pressure information groups to the data judgment module, the image detection unit is a plurality of cameras distributed on the surface of the connecting pipeline, and the cameras are provided with the position marks and can cover the connecting pipeline; the image detection unit is used for collecting image information of the surface of the connecting pipeline and transmitting the image information to the data judgment module; the infrared scanning probe is used for initially detecting whether the surface of the connecting pipeline is damaged or not.
5. The Internet of things remote control system for the low-pressure blower according to claim 4, wherein the data judgment module comprises the following specific processing steps:
the method comprises the following steps: when the low-pressure blower starts to operate, firstly marking the collected pressure information group as Li, i = 1. The position identification marks corresponding to the pressure sensors are Wi, and Li and Wi are in one-to-one correspondence;
step two: calculating a standard deviation alpha of the real-time Li information group according to a standard deviation calculation formula, and when the alpha exceeds a preset value, keeping the standard deviation alpha in a state to be verified;
step three: when the pressure sensor is in a to-be-verified state, sorting Li in a sequence from high to low, and setting a first pressure threshold as LA; obtaining all Li higher than LA; label it as affecting pressure LC;
acquiring a position identifier corresponding to the influence pressure LC, marking the position identifier as WC, and marking the position corresponding to the WC as a to-be-verified state;
step four: when the position corresponding to WC is marked as a state to be verified, an infrared scanning probe is used for preliminarily detecting whether the surface of the corresponding position is damaged or not;
when the infrared scanning probe detects that the corresponding position surface is damaged, the depth of the damaged position is obtained through the infrared distance meter and marked as the damaged depth ZS;
step five: when the position corresponding to WC is marked as a to-be-verified state, acquiring image information of the surface of the pipeline shot by a camera at the position corresponding to WC, comparing the image information with standard image information stored in a database to obtain the area of a damaged area, and marking the area as ZM;
calculating the difference between the influence pressure LC and the first pressure threshold LA to obtain an overpressure value LK;
step six: calculating an early warning value YK by using a formula YK = LK × a1+ ZS × a2+ ZM × a3, wherein a1, a2 and a3 are coefficient factors;
step seven: comparing the early warning value YK with an early warning threshold value;
if the early warning value YK is larger than or equal to the early warning threshold value, generating an early warning signal; marking the position of the connecting pipeline at the position corresponding to the WC as an early warning position;
the data judgment module is used for transmitting the early warning signal and the corresponding early warning position to the control center, and the control center is used for controlling the low-pressure blower to stop after receiving the early warning signal and the corresponding early warning position; the driving control alarm module sends out an alarm, and simultaneously marks the corresponding early warning position on the map information of the connecting pipeline;
and the early warning command module is used for receiving the early warning signal and the corresponding early warning position and then distributing corresponding maintenance personnel to maintain or replace the connecting pipeline.
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| CN114109826A (en) * | 2021-11-30 | 2022-03-01 | 广东鑫钻节能科技股份有限公司 | Screw blower gas station remote monitoring device |
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| CN102588313A (en) * | 2012-03-13 | 2012-07-18 | 红云红河烟草(集团)有限责任公司 | Control process for regulating frequency of fans of industrial central air-conditioner by energy method |
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Denomination of invention: A IoT Remote Control System for Low Pressure Air Blowers Effective date of registration: 20231020 Granted publication date: 20220222 Pledgee: Guangdong Hengfu Financial Leasing Co.,Ltd. Pledgor: Guangdong xinzuan Energy Saving Technology Co.,Ltd. Registration number: Y2023980062019 |