CN112431784A - Louver fan system of farm and detection and prediction method thereof - Google Patents
Louver fan system of farm and detection and prediction method thereof Download PDFInfo
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- CN112431784A CN112431784A CN202011422376.3A CN202011422376A CN112431784A CN 112431784 A CN112431784 A CN 112431784A CN 202011422376 A CN202011422376 A CN 202011422376A CN 112431784 A CN112431784 A CN 112431784A
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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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- 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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- 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
- F04D27/008—Stop safety or alarm devices, e.g. stop-and-go control; Disposition of check-valves
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Abstract
The invention relates to a louver fan system of a farm and a detection and prediction method thereof, belonging to the technical field of farm detection. The invention comprises a louver fan, wherein the louver fan is also additionally provided with a detection device, a communication device, a control device and a power supply module, wherein: the detection device comprises a triaxial acceleration sensor and a fan current and voltage acquisition circuit, the communication device comprises a wired communication module and a wireless communication module, an input port of the controller receives data of the triaxial acceleration sensor and the fan current and voltage acquisition circuit through the detection circuit, and transmits signals to external equipment through the wired communication module and the wireless communication module; the method comprises the steps that a triaxial acceleration sensor for detecting the posture of a blade is arranged on the blade of the louver, and the angle between the blade and a vertical plane is detected by the triaxial acceleration sensor; a fan current and voltage acquisition circuit is added to detect the starting transient current and voltage of the fan and the normal running current and voltage; widely applied to the occasion of the farm detection device.
Description
Technical Field
The invention relates to a louver fan system of a farm and a detection and prediction method thereof, belonging to the technical field of farm detection.
Background
Currently, in large-scale, concentrated farming environments, the environmental control requirements in farms are increasing, and among the various environmental parameters in farms, three parameters, namely temperature, respiration volume, and ammonia concentration, of the farms are of the most importance. These three parameters are all realized by controlling the ventilation effect. At present, all the environment controllers of the farm adopt fans installed on the farm to solve the temperature control and ammonia concentration control of the farm. Therefore, whether the fan works normally or not directly determines the quality of environmental parameter indexes of the farm, and when the fan breaks down, the fan has a direct relation with the death rate of poultry and the economic loss of farmers.
There are various ways of failure of farm fans, for example: the fan is powered off and cannot rotate due to the fan line fault; the fan is damaged and cannot rotate; the fan works for a long time and is blocked by foreign matters to cause the resistance to be increased, so that the rotation is slowed; the fan is ageing, and ventilation efficiency variation etc. and the shutter board of fan belongs to the integrative part of fan, if the resistance can't be opened, also can influence the ventilation effect.
Although the current detection plant fan operating condition has trouble feedback, all be in the controlgear of fan, can only detect whether the feedback fan is circular telegram, whether work, as for the fan actual work effect, unable detection and feedback, more unable prediction trouble suggestion and user state maintenance of providing.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a farm louver fan system and a detection and prediction method thereof.
The louver fan system for the farm comprises a louver fan, wherein the louver fan is additionally provided with the following components:
detection device, including triaxial acceleration sensor, fan current and voltage acquisition circuit to and detection circuitry, wherein:
the three-axis acceleration sensor is arranged on a louver board of an air outlet of the louver fan and used for detecting an included angle between the current sensor and the gravity direction, namely an included angle between a louver baffle and the gravity direction;
the fan current and voltage acquisition circuit is placed at a power supply line end of the fan and used for detecting the starting transient current and voltage of the fan and the normal running current and voltage;
the detection circuit is integrated on a PCB (printed circuit board) of the louver fan and forms a blade attitude detection device together with the triaxial acceleration sensor and the fan current and voltage acquisition circuit;
communication device, including wired communication module and wireless communication module, wherein:
the wired communication module is integrated on a PCB circuit board of the louver fan, adopts RS232 and RS485 bus communication modes and is used for the communication of data receiving and sending of the triaxial acceleration sensor and the fan current and voltage acquisition circuit;
the wireless communication module is integrated on a PCB (printed circuit board) of the louver fan, adopts a Lora communication mode and a 433mhz frequency band point-to-point communication mode, and is used for wirelessly receiving and transmitting data of the triaxial acceleration sensor and the fan current and voltage acquisition circuit;
the control device comprises a controller, wherein an input port of the controller receives data of the triaxial acceleration sensor and the fan current and voltage acquisition circuit through the detection circuit, and transmits signals to external equipment through the wired communication module and the wireless communication module.
Preferably, the external device includes a ring controller and a server, wherein:
the environment-friendly controller is connected with the control device of the louver fan, the temperature sensor and the ammonia concentration sensor in the farm, is connected with the server through the wireless communication unit, is used for detecting the state of the louver fan, the temperature of the environment and the nitrogen concentration information, and transmits the state, the temperature and the concentration information of the louver fan to the server through the wireless communication unit;
the server is connected with the loop controller and the control device of the louver fan through the wireless communication unit, sends an alarm signal to the control device of the louver fan and the loop controller through the wireless communication unit, and is used for remotely monitoring the relevant working state and data of the farm.
Preferably, the louver fan is installed on a wall of a farm, louvers are installed at an air outlet of the fan, and when the fan does not rotate, the louvers are in a natural closing state under the action of gravity, and the louvers are horizontally and vertically downward; when the fan is rotatory, the shutter board of fan air outlet can be automatically pushed away an angle by the air, and the fan is rotatory faster, and the amount of wind is big more, and the shutter board is pushed away the angle big more, and when the amount of wind was the biggest, shutter board was close to the horizontal angle.
Preferably, the control device further comprises a memory, the controller comprises a fan failure processing unit, and the memory stores historical data of the fan and historical data of the louvers.
The invention relates to a method for detecting a louver fan of a farm, which comprises the following steps:
the method comprises the following steps: whether detect louver fan and start, including two kinds of situations:
the first condition is as follows: detecting whether the fan is started: the starting instantaneous current and voltage of the fan are acquired through a fan current and voltage acquisition circuit, and the following judgment is made: ' Qijian
If the fan current and voltage acquisition circuit can acquire starting instantaneous current and voltage, continuing to compare and judge with historical data:
if the instantaneous current and the voltage are consistent with the historical data, continuing the step two;
if the instantaneous current is increased by more than 30% relative to the historical data and the voltage is lower by more than 30%, judging that the fan is abnormal, sending out early warning, and continuing to perform the second step;
if the fan current and voltage acquisition circuit cannot acquire starting instantaneous current and voltage, judging that the fan does not work;
case two: detecting whether the louver board is started: the instantaneous opening angle of the louver board is obtained through the three-axis acceleration sensor, and the following judgment is made:
if the triaxial acceleration sensor can obtain the instantaneous opening angle, then continue to compare with historical data and judge:
if the instantaneous opening angle is consistent with the historical data, continuing the step two;
if the instantaneous opening angle is smaller than the historical data by more than 50%, giving out early warning, judging that the louver board is aged or blocked, and continuing the second step;
if the triaxial acceleration sensor cannot acquire the opening angle, judging that the fan does not rotate or the triaxial acceleration sensor falls off, so that the inclination angle of the louver board is not detected;
step two: detecting the working state of the louver fan, comprising two conditions:
the first condition is as follows: detecting the working state of the fan: obtaining the normal running current and voltage of the fan through a fan current and voltage acquisition circuit, and comparing and judging with historical data:
if the normal running current and voltage acquired by the fan current and voltage acquisition circuit are consistent with the historical data, judging that the fan works normally, and continuing to detect;
if the normal running current and voltage acquired by the fan current and voltage acquisition circuit are inconsistent with the historical data, judging the intermittent fault of the fan, and continuing the step three;
case two: detecting the working state of the louver board: obtaining the normal opening angle of the louver board through a three-axis acceleration sensor, and comparing and judging with historical data:
if the normal opening angle acquired by the triaxial acceleration sensor is consistent with the historical data, judging that the louver board works normally, and continuing to detect;
if the normal opening angle acquired by the triaxial acceleration sensor is inconsistent with the historical data, judging the intermittent fault of the louver board, and continuing the step three;
step three: the server triggers an alarm and transmits an alarm signal to a control device or an environment controller of the louver fan through the wireless communication module.
The invention relates to a method for predicting a louver fan of a farm, which utilizes a louver fan system of the farm to establish a fault early warning model of the fan and comprises the following steps:
the method comprises the following steps: data acquisition and preprocessing: recording the current value according to a set time interval from the start until the fan is converted into a stable operation state from a start state; loading the recorded original data and carrying out normalization processing on the data;
step two: training a fault early warning network: the change of the working current is used as input, and the actual opening value of the shutter is used as output; training the reference data by utilizing a GRU-CNN network;
step three: determining a fault early warning threshold value, and generating an early warning network model: after the fault early warning network is trained, inputting the change of working current from starting to stable to obtain a group of vectors of the shutter opening value changing along with time, comparing the shutter opening value with the vectors formed by the actual shutter opening value, and if the similarity is lower than 50%, considering that the fan is abnormal and needs to be maintained and replaced.
Preferably, in the second step, the GRU-CNN network represents the characteristics of time series data of current change from start to steady operation, and then the CNN network is used for extracting deep level characteristics, which are combined with characteristics of a curve capable of better extracting current change; and training the network by using the recorded reference data to construct a functional relation between the fan running current and the shutter opening value.
The invention has the beneficial effects that: the invention relates to a farm louver fan system and a detection and prediction method thereof.A three-axis acceleration sensor capable of detecting the posture of a blade is arranged on the blade of a louver, and the angle between the blade and a vertical plane is detected by the three-axis acceleration sensor; a fan current and voltage acquisition circuit is added to detect the starting transient current and voltage of the fan and the normal running current and voltage; the prediction model combining the two can detect the following: whether the fan works, the working state of the fan, the intermittent fault of the fan, the blockage of a fan shaft by dust, the blockage of a shutter baffle shaft and the aging of a motor of the fan.
Drawings
Fig. 1 is a block diagram of the present invention.
Fig. 2 is a circuit diagram of a three-axis acceleration sensor.
FIG. 3 is a circuit diagram of a fan current and voltage acquisition circuit.
Fig. 4 is a circuit diagram of a wired communication module.
Fig. 5 is a circuit diagram of a wireless communication module.
Fig. 6 is a circuit diagram of the control device.
Fig. 7 is a circuit diagram of the alarm.
Fig. 8 is a block flow diagram 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.
Example 1:
as shown in fig. 1, the louver fan system for a farm according to the present invention includes a louver fan, and the louver fan further includes the following components:
detection device, including triaxial acceleration sensor, fan current and voltage acquisition circuit to and detection circuitry, wherein:
the three-axis acceleration sensor is arranged on a louver board of an air outlet of the louver fan and used for detecting an included angle between the current sensor and the gravity direction, namely an included angle between a louver baffle and the gravity direction;
the fan current and voltage acquisition circuit is placed at a power supply line end of the fan and used for detecting the starting transient current and voltage of the fan and the normal running current and voltage;
the detection circuit is integrated on a PCB (printed circuit board) of the louver fan and forms a blade attitude detection device together with the triaxial acceleration sensor and the fan current and voltage acquisition circuit;
communication device, including wired communication module and wireless communication module, wherein:
the wired communication module is integrated on a PCB circuit board of the louver fan, adopts RS232 and RS485 bus communication modes and is used for the communication of data receiving and sending of the triaxial acceleration sensor and the fan current and voltage acquisition circuit;
the wireless communication module is integrated on a PCB (printed circuit board) of the louver fan, adopts a Lora communication mode and a 433mhz frequency band point-to-point communication mode, and is used for wirelessly receiving and transmitting data of the triaxial acceleration sensor and the fan current and voltage acquisition circuit;
the control device comprises a controller, wherein an input port of the controller receives data of the triaxial acceleration sensor and the fan current and voltage acquisition circuit through the detection circuit, and transmits signals to external equipment through the wired communication module and the wireless communication module.
The external device comprises a ring controller and a server, wherein:
the environment-friendly controller is connected with the control device of the louver fan, the temperature sensor and the ammonia concentration sensor in the farm, is connected with the server through the wireless communication unit, is used for detecting the state of the louver fan, the temperature of the environment and the nitrogen concentration information, and transmits the state, the temperature and the concentration information of the louver fan to the server through the wireless communication unit;
the server is connected with the loop controller and the control device of the louver fan through the wireless communication unit, sends an alarm signal to the control device of the louver fan and the loop controller through the wireless communication unit, and is used for remotely monitoring the relevant working state and data of the farm.
The louver fan is arranged on the wall of a farm, louver plates are arranged at the air outlet of the fan, when the fan does not rotate, the louver plates are in a natural closing state under the action of gravity, and the louver plates are horizontally and vertically downward; when the fan is rotatory, the shutter board of fan air outlet can be automatically pushed away an angle by the air, and the fan is rotatory faster, and the amount of wind is big more, and the shutter board is pushed away the angle big more, and when the amount of wind was the biggest, shutter board was close to the horizontal angle.
The control device further comprises a memory, the controller comprises a fan fault processing unit, and historical data of the fan and historical data of the louver plates are stored in the memory.
Example 2:
in addition, the application also provides a detection method and a prediction method of the louver fan of the farm, wherein: the invention relates to a method for detecting a louver fan of a farm, which comprises the following steps:
the method comprises the following steps: whether detect louver fan and start, including two kinds of situations:
the first condition is as follows: detecting whether the fan is started: the starting instantaneous current and voltage of the fan are acquired through a fan current and voltage acquisition circuit, and the following judgment is made: ' Qijian
If the fan current and voltage acquisition circuit can acquire starting instantaneous current and voltage, continuing to compare and judge with historical data:
if the instantaneous current and the voltage are consistent with the historical data, continuing the step two;
if the instantaneous current is increased by more than 30% relative to the historical data and the voltage is lower by more than 30%, judging that the fan is abnormal, sending out early warning, and continuing to perform the second step;
if the fan current and voltage acquisition circuit cannot acquire starting instantaneous current and voltage, judging that the fan does not work;
case two: detecting whether the louver board is started: the instantaneous opening angle of the louver board is obtained through the three-axis acceleration sensor, and the following judgment is made:
if the triaxial acceleration sensor can obtain the instantaneous opening angle, then continue to compare with historical data and judge:
if the instantaneous opening angle is consistent with the historical data, continuing the step two;
if the instantaneous opening angle is smaller than the historical data by more than 50%, giving out early warning, judging that the louver board is aged or blocked, and continuing the second step;
if the triaxial acceleration sensor cannot acquire the opening angle, judging that the fan does not rotate or the triaxial acceleration sensor falls off, so that the inclination angle of the louver board is not detected;
step two: detecting the working state of the louver fan, comprising two conditions:
the first condition is as follows: detecting the working state of the fan: obtaining the normal running current and voltage of the fan through a fan current and voltage acquisition circuit, and comparing and judging with historical data:
if the normal running current and voltage acquired by the fan current and voltage acquisition circuit are consistent with the historical data, judging that the fan works normally, and continuing to detect;
if the normal running current and voltage acquired by the fan current and voltage acquisition circuit are inconsistent with the historical data, judging the intermittent fault of the fan, and continuing the step three;
case two: detecting the working state of the louver board: obtaining the normal opening angle of the louver board through a three-axis acceleration sensor, and comparing and judging with historical data:
if the normal opening angle acquired by the triaxial acceleration sensor is consistent with the historical data, judging that the louver board works normally, and continuing to detect;
if the normal opening angle acquired by the triaxial acceleration sensor is inconsistent with the historical data, judging the intermittent fault of the louver board, and continuing the step three;
step three: the server triggers an alarm and transmits an alarm signal to a control device or an environment controller of the louver fan through the wireless communication module.
As shown in fig. 8, the method for predicting a farm louver fan according to the present invention, which uses a farm louver fan system to establish a fan failure early warning model, includes the following steps:
s1: data acquisition and preprocessing: recording the current value according to a set time interval from the start until the fan is converted into a stable operation state from a start state; loading the recorded original data and carrying out normalization processing on the data;
s2: training a fault early warning network: the change of the working current is used as input, and the actual opening value of the shutter is used as output; training the reference data by utilizing a GRU-CNN network;
s3: determining a fault early warning threshold value, and generating an early warning network model: after the fault early warning network is trained, inputting the change of working current from starting to stable to obtain a group of vectors of the shutter opening value changing along with time, comparing the shutter opening value with the vectors formed by the actual shutter opening value, and if the similarity is lower than 30%, considering that the fan is abnormal and needs to be maintained and replaced.
A GRU-CNN network in S2, where the GRU network represents a feature of time-series data of current change from start to steady operation, and then a CNN network is used to extract a deep feature, and the two combine to better extract a feature of a current change curve; and training the network by using the recorded reference data to construct a functional relation between the fan running current and the shutter opening value.
The invention has the beneficial effects that: the invention relates to a farm louver fan system and a detection and prediction method thereof.A three-axis acceleration sensor capable of detecting the posture of a blade is arranged on the blade of a louver, and the angle between the blade and a vertical plane is detected by the three-axis acceleration sensor; a fan current and voltage acquisition circuit is added to detect the starting transient current and voltage of the fan and the normal running current and voltage; the prediction model combining the two can detect the following: whether the fan works, the working state of the fan, the intermittent fault of the fan, the blockage of a fan shaft by dust, the blockage of a shutter baffle shaft and the aging of a motor of the fan.
Example 3:
according to the method for predicting the louver fan of the farm, disclosed by the invention, a prediction model of the fan and the louver fan plate is constructed according to a large database of historical data, the fan and the louver fan plate are judged to be in the stage of the prediction model, and a server transmits a predictive guidance conclusion to a control device or an environment controller of the louver fan in advance through a wireless communication module.
According to the maintenance method of the louver fan of the farm, the aging degree of the fan is judged in the instantaneous process of the starting current detected by the fan current and voltage acquisition circuit, the current and voltage of the normal operation of the fan are detected in real time, and the problem of the normal operation of the fan is judged through FFT spectral analysis and time domain analysis;
the aging or blocking degree of the louver board is judged according to the instantaneous opening angle detected by the triaxial acceleration sensor, and the problem of normal operation of the louver board is judged according to the real-time detection of normal operation opening of the louver board;
and the server transmits the maintenance guidance conclusion to a control device or an environment controller of the louver fan through the wireless communication module in advance.
The principle of the invention is as follows: on the basis of the original technology of the louver fan, a detection device, a communication device and a control device are integrated, and predictive fault prompt and service state maintenance are provided. The three-axis acceleration sensor capable of detecting the attitude of the blade is arranged on one blade of the shutter, and the angle between the blade and the vertical plane is detected by the three-axis acceleration sensor; a fan current and voltage acquisition circuit is added to detect the starting transient current and voltage of the fan and the normal running current and voltage; the prediction model combining the two can detect the following:
whether the fan is working: for example: when the angle feedback of the sensor is about 0 degree, the fan is not in work;
the working state of the fan is as follows: for example: when the angle feedback of the sensor is between 0 and 90 degrees, the fan is indicated to work, and when the angle feedback is close to 90 degrees, the air quantity is maximum;
intermittent failure of the fan: for example: the angle feedback of the sensor is not a stable angle, but changes periodically along with time, which indicates that the fan has intermittent faults;
the fan shaft is blocked by dust: for example: as time accumulates, the fan resistance is increased due to dirt attached to the fan blades and the shaft is blocked and wound by dust, and the efficiency is poor;
and (3) blocking a shutter baffle shaft: for example: as time accumulates, the shutter baffle shaft is blocked, the resistance is increased, and the opening angle is influenced;
aging of a motor of the fan: for example: the motor aging degree of the fan can be judged through monitoring the instantaneous process of the starting current of the fan, the normal operation current of the fan can be detected in real time, and some problems of the normal operation of the motor can be judged through the spectrum analysis and the time domain analysis of FFT.
It should be noted that: the method adds a learning function, establishes a model according to the working current and the actual opening data of the fan when the new fan is just installed, then generates new data, records the new data, updates the model, and obtains the early warning and predictive maintenance of the fan fault according to the long-term change of the current and the actual opening. And abstracting a relation model between the current parameter characteristics and the real-time shutter angle in the two aspects of the starting instantaneous current characteristic and the normal stable current characteristic. To give, for example: starting shake, vibration, shake and vibration during normal stable operation, and aging of fan blades and fan shafts.
It should be noted that: the louver fan of the farm mainly comprises a variable frequency fan and a fixed frequency fan. The variable frequency fan can adjust the air quantity, and the fixed frequency fan cannot adjust the air quantity. The two fans are both arranged on the wall of the farm, and shutter plates are arranged at the air outlets of the fans, when the fans do not rotate, the shutter plates are in a natural closing state under the action of gravity, and the shutter plates are approximately horizontally and vertically downward; when the fan is rotatory, the shutter board of fan air outlet can be automatically pushed away an angle by the air, and the fan is rotatory faster, and the amount of wind is big more, and this shutter board is pushed away the angle big more, and when the amount of wind was the biggest, shutter board was close to the horizontal angle.
The triaxial acceleration sensor adopts a digital triaxial acceleration sensor of ADALOG 345, the volume of which is 3mm 5mm 1mm, the weight of which is light and is about 30mg, the digital triaxial acceleration sensor and required external circuit components are designed on a PCB circuit board to form a blade attitude detection module, and the digital triaxial acceleration sensor can be directly attached to a blade of a louver board of a fan air outlet by glue. The attitude detection module based on the ADXL345 can measure the included angle between the current sensor and the gravity direction, the measurement precision can reach 1-degree inclination angle change, the inclination angle of the blade is detected quickly and in real time, and the detection result is stored in a memory inside the sensor.
The current and voltage acquisition circuit of the fan adopts a current and fan current and voltage acquisition circuit, the acquisition current range is 0-100A, the response time is 1us, and the current acquisition requirement is met. The electric parameters of the fan are obtained through a Hall current sensor, the characteristic detection is carried out, the starting and stopping processes are identified, data accumulation is formed, the problem of the fan is judged through a predictive algorithm in multiple angles and multiple parameters, the opening degree of each fan is the actual opening degree, and a predictive maintenance guide is given by combining big data.
In the communication device, a wired communication module adopts an RS232 and RS485 bus communication mode, and a two-way photoelectric coupler HCPL2631 is adopted to realize isolated communication of data receiving and transmitting. The wireless communication module adopts the Lora communication technology and adopts a 433mhz frequency band point-to-point communication mode to directly communicate with the interior environmental controller; or the WIFI module and the 4G module can be adopted to directly transmit data to the server through an operator. And transmitting the measured inclination angle data and the measured current data to a main environment controller of the farm through a wired communication module or a wireless communication module.
The control device adopts a 32-bit controller STM32F429IGT6 of CORTEX-M3 kernel of ST company, the working dominant frequency of the control device is 180Mhz, the processing capacity is strong, a 64K-byte data memory is expanded externally and used for storing data acquired in real time, and a 32M-byte nonvolatile data memory is expanded externally. The control device acquires the inclination angle data measured by the attitude detection module through a digital I2C bus interface and processes the acquired data by using a digital filtering algorithm; and after noise and abnormal values are filtered, stable inclination angle data are obtained. 128 devices can be theoretically mounted on an I2C bus, but due to the problems of the number and the positions of the installed fans, the system only mounts 4-16 identical shutter attitude detection modules, each module corresponds to one fan, and therefore 4-16 fan attitude inclination angles can be monitored. The control device collects the current value of the current and voltage collecting circuit of the current fan through the high-speed A/D converter, the collecting frequency is 100KHZ, the current change value of the transient process when the fan is started can be accurately collected (100KHZ adopts frequency, 100 points of current transient change can be guaranteed to be collected within 1ms, and the collecting frequency can accurately and meticulously capture the characteristics and changes of the current instantaneous value, and the current steady state change value after the fan runs stably. The STM32F429 has about 24A/D input channels, but only collects 4-16 paths of fan current data due to the reasons of pin multiplexing and the like, the number of fans, the installation positions and the like, and the 4-16 paths of fan current can be monitored and correspond to the fan attitude inclination angle monitoring module; and (3) adding an interface: in addition to the wires 232 and 485, lora adds WIFI and 4G removals to the server. The main controller can select a single-wire working mode, a single-wireless working mode and a wire/wireless double-channel simultaneous transmission working mode. And WIFI and 4G directly upload the working mode of the server (the environmental controller obtains the relevant working state and data of the controlled fan through the server).
The invention can be widely applied to the occasions of the farm detection device and is suitable for the large-scale and centralized farm industry.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The utility model provides a plant tripe fan system, includes tripe fan, its characterized in that, tripe fan still installs following part additional:
detection device, including triaxial acceleration sensor, fan current and voltage acquisition circuit to and detection circuitry, wherein:
the three-axis acceleration sensor is arranged on a louver board of an air outlet of the louver fan and used for detecting an included angle between the current sensor and the gravity direction, namely an included angle between a louver baffle and the gravity direction;
the fan current and voltage acquisition circuit is placed at a power supply line end of the fan and used for detecting the starting transient current and voltage of the fan and the normal running current and voltage;
the detection circuit is integrated on a PCB (printed circuit board) of the louver fan and forms a blade attitude detection device together with the triaxial acceleration sensor and the fan current and voltage acquisition circuit;
communication device, including wired communication module and wireless communication module, wherein:
the wired communication module is integrated on a PCB circuit board of the louver fan, adopts RS232 and RS485 bus communication modes and is used for the communication of data receiving and sending of the triaxial acceleration sensor and the fan current and voltage acquisition circuit;
the wireless communication module is integrated on a PCB (printed circuit board) of the louver fan, adopts a Lora communication mode and a 433mhz frequency band point-to-point communication mode, and is used for wirelessly receiving and transmitting data of the triaxial acceleration sensor and the fan current and voltage acquisition circuit;
the control device comprises a controller, wherein an input port of the controller receives data of the triaxial acceleration sensor and the fan current and voltage acquisition circuit through the detection circuit, and transmits signals to external equipment through the wired communication module and the wireless communication module.
2. The farm louver fan system of claim 1, wherein the external device comprises a ring controller and a server, wherein:
the environment-friendly controller is connected with the control device of the louver fan, the temperature sensor and the ammonia concentration sensor in the farm, is connected with the server through the wireless communication unit, is used for detecting the state of the louver fan, the temperature of the environment and the nitrogen concentration information, and transmits the state, the temperature and the concentration information of the louver fan to the server through the wireless communication unit;
the server is connected with the loop controller and the control device of the louver fan through the wireless communication unit, sends an alarm signal to the control device of the louver fan and the loop controller through the wireless communication unit, and is used for remotely monitoring the relevant working state and data of the farm.
3. The farm louver system of claim 2, wherein the louver is mounted to a wall of the farm, louvers are mounted at the fan outlet, the louvers are naturally closed by gravity when the fan is not rotating, and the louvers are oriented horizontally and vertically downward; when the fan is rotatory, the shutter board of fan air outlet can be automatically pushed away an angle by the air, and the fan is rotatory faster, and the amount of wind is big more, and the shutter board is pushed away the angle big more, and when the amount of wind was the biggest, shutter board was close to the horizontal angle.
4. The farm louver fan system of claim 3, wherein the control device further comprises a memory, and the controller comprises a fan failure handling unit, the memory storing historical data of the fan and historical data of the louvers.
5. A detection method for a louver fan of a farm is characterized by comprising the following steps:
the method comprises the following steps: whether detect louver fan and start, including two kinds of situations:
the first condition is as follows: detecting whether the fan is started: the starting instantaneous current and voltage of the fan are acquired through a fan current and voltage acquisition circuit, and the following judgment is made: ' Qijian
If the fan current and voltage acquisition circuit can acquire starting instantaneous current and voltage, continuing to compare and judge with historical data:
if the instantaneous current and the voltage are consistent with the historical data, continuing the step two;
if the instantaneous current is increased by more than 30% relative to the historical data and the voltage is lower by more than 30%, judging that the fan is abnormal, sending out early warning, and continuing to perform the second step;
if the fan current and voltage acquisition circuit cannot acquire starting instantaneous current and voltage, judging that the fan does not work;
case two: detecting whether the louver board is started: the instantaneous opening angle of the louver board is obtained through the three-axis acceleration sensor, and the following judgment is made:
if the triaxial acceleration sensor can obtain the instantaneous opening angle, then continue to compare with historical data and judge:
if the instantaneous opening angle is consistent with the historical data, continuing the step two;
if the instantaneous opening angle is smaller than the historical data by more than 50%, giving out early warning, judging that the louver board is aged or blocked, and continuing the second step;
if the triaxial acceleration sensor cannot acquire the opening angle, judging that the fan does not rotate or the triaxial acceleration sensor falls off, so that the inclination angle of the louver board is not detected;
step two: detecting the working state of the louver fan, comprising two conditions:
the first condition is as follows: detecting the working state of the fan: obtaining the normal running current and voltage of the fan through a fan current and voltage acquisition circuit, and comparing and judging with historical data:
if the normal running current and voltage acquired by the fan current and voltage acquisition circuit are consistent with the historical data, judging that the fan works normally, and continuing to detect;
if the normal running current and voltage acquired by the fan current and voltage acquisition circuit are inconsistent with the historical data, judging the intermittent fault of the fan, and continuing the step three;
case two: detecting the working state of the louver board: obtaining the normal opening angle of the louver board through a three-axis acceleration sensor, and comparing and judging with historical data:
if the normal opening angle acquired by the triaxial acceleration sensor is consistent with the historical data, judging that the louver board works normally, and continuing to detect;
if the normal opening angle acquired by the triaxial acceleration sensor is inconsistent with the historical data, judging the intermittent fault of the louver board, and continuing the step three;
step three: the server triggers an alarm and transmits an alarm signal to a control device or an environment controller of the louver fan through the wireless communication module.
6. A prediction method for a louver fan of a farm is characterized in that a failure early warning model of the fan is established by utilizing a louver fan system of the farm, and comprises the following steps:
the method comprises the following steps: data acquisition and preprocessing: recording the current value according to a set time interval from the start until the fan is converted into a stable operation state from a start state; loading the recorded original data and carrying out normalization processing on the data;
step two: training a fault early warning network: the change of the working current is used as input, and the actual opening value of the shutter is used as output; training the reference data by utilizing a GRU-CNN network;
step three: determining a fault early warning threshold value, and generating an early warning network model: after the fault early warning network is trained, inputting the change of working current from starting to stable to obtain a group of vectors of the shutter opening value changing along with time, comparing the shutter opening value with the vectors formed by the actual shutter opening value, and if the similarity is lower than 50%, considering that the fan is abnormal and needs to be maintained and replaced.
7. The method for predicting the louver fan of the farm according to claim 6, wherein in the second step, a GRU-CNN network is adopted, the GRU network represents the characteristics of time series data of current change from start to steady operation, and then a CNN network is used for extracting deep characteristics, and the GRU-CNN network and the CNN network are combined to better extract the characteristics of a current change curve; and training the network by using the recorded reference data to construct a functional relation between the fan running current and the shutter opening value.
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CN114229485A (en) * | 2021-12-23 | 2022-03-25 | 沈阳华控科技发展有限公司 | PVC (polyvinyl chloride) drying bed powder conveying device and control method |
CN114229485B (en) * | 2021-12-23 | 2024-06-07 | 沈阳昱铖科技有限公司 | PVC (polyvinyl chloride) dry bed powder conveying device and control method |
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