CN116107369A - Explosion-proof frequency converter control system - Google Patents
Explosion-proof frequency converter control system Download PDFInfo
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- CN116107369A CN116107369A CN202310013120.4A CN202310013120A CN116107369A CN 116107369 A CN116107369 A CN 116107369A CN 202310013120 A CN202310013120 A CN 202310013120A CN 116107369 A CN116107369 A CN 116107369A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention discloses a control system of an explosion-proof frequency converter, relates to the technical field of frequency converter control, and solves the technical problem of monitoring the use environment of the explosion-proof frequency converter; monitoring equipment information and environmental parameters of the explosion-proof frequency converter through a data acquisition module; the data processing module processes the received equipment information and the received environmental parameters; acquiring primary early warning information and secondary early warning information; the intelligent control module acquires corresponding regulation and control instructions according to the primary early warning information and regulates and controls the environment of the explosion-proof frequency converter according to the regulation and control instructions; the alarm module generates early warning information according to the first-level early warning information; the intelligent control module controls the explosion-proof frequency converter to stop working according to the secondary early warning information; the alarm module generates abnormal information according to the secondary early warning information; the working state and the environment of the explosion-proof frequency converter are monitored and timely processed, the explosion-proof frequency converter is prevented from being abnormal due to external factors, and the service efficiency of the equipment is improved.
Description
Technical Field
The invention belongs to the field of coal mine equipment application, relates to a frequency converter control technology, and particularly relates to an explosion-proof frequency converter control system.
Background
With the increasing of the current coal mine scale, the automation degree is higher and higher, a large amount of high-power electrical equipment is needed, and with the increasing of the power, the original control and use modes of some equipment are changed greatly, so that the explosion-proof frequency converter is a frequency converter used in high-risk environments such as coal mines. The flameproof frequency conversion device is mainly used for in-situ and remote control of heavy load transmission equipment such as methane and coal dust underground, open pit coal mine, metallurgical mine, port and dock, coal preparation plant, power plant and the like,
The frequency converter belongs to a device, vibration is a main cause of mechanical damage to an electronic device, and for occasions with large vibration impact, vibration-proof measures such as rubber are adopted; the moist, corrosive gas, dust and the like can cause rusting, poor contact and insulation reduction of electronic devices to form short circuits, and the control panel is subjected to corrosion prevention and dust prevention treatment as a countermeasure, and a closed structure is adopted; temperature is an important factor affecting the lifetime and reliability of electronic devices.
Therefore, the explosion-proof frequency converter control system is provided.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention provides a control system of the flameproof frequency converter, which solves the problem of monitoring the use environment of the flameproof frequency converter.
In order to achieve the above object, according to an embodiment of the first aspect of the present invention, an explosion-proof frequency converter control system is provided, which includes a cloud platform, and a data acquisition module, a data processing module, an intelligent control module and an intelligent alarm module connected with the cloud platform; the modules perform information interaction based on digital signals;
the data acquisition module is used for monitoring equipment information and environmental parameters of the explosion-proof frequency converter; wherein the equipment information comprises vibration amplitude, and the environmental parameters comprise temperature data, humidity data and gas concentration;
the environment parameters are sent to the cloud platform, and the cloud platform stores the received equipment information and the environment parameters in a data mode;
the data processing module is used for processing the received equipment information and the received environment parameters, and comprises the following steps:
the data processing module receives the equipment information and the environmental parameters and marks the vibration amplitude, the temperature data, the humidity data and the gas concentration as A respectively i 、W i 、S i C i ；
The data processing module obtains a device association value by using a calculation formula and marks the device association value as SB i ；
The data processing module obtains an environment association value by using a calculation formula, and marks the environment association value as HJ i ；
The data processing module obtains a monitoring reminding coefficient by using a calculation formula, and marks the monitoring reminding coefficient as XS i ；
The data processing module sets a first monitoring reminding coefficient threshold value and a second monitoring reminding coefficient threshold value, and compares the monitoring reminding coefficient with the first monitoring reminding coefficient threshold value and the second monitoring reminding coefficient threshold value; the first monitoring reminding coefficient threshold value is smaller than the second monitoring reminding coefficient threshold value;
when the monitoring reminding coefficient is smaller than the first monitoring reminding coefficient threshold value, namely the flameproof frequency converter is in a safe working state and environment, the data processing module does not process;
when the monitoring reminding coefficient is larger than or equal to the first monitoring reminding coefficient threshold value and smaller than or equal to the second monitoring reminding coefficient threshold value, the data processing module sends primary early warning information to a cloud platform;
when the monitoring reminding coefficient is larger than the second monitoring reminding coefficient threshold value, the data processing module sends secondary early warning information to a cloud platform;
after receiving the primary early warning information, the cloud platform sends a regulation and control instruction to the intelligent control module and simultaneously sends a primary warning signal to the warning module;
after receiving the regulation and control instruction, the intelligent control module acquires corresponding abnormal equipment information and environment parameters, and integrates the abnormal equipment information and the environment parameters into original data;
acquiring an equipment regulation model from an intelligent control module; wherein, the device regulation model is established based on an artificial intelligence model;
inputting the original data into an equipment regulation model to obtain a corresponding regulation instruction;
the intelligent control regulates and controls the environment of the explosion-proof frequency converter according to the regulation and control instruction;
the alarm module generates early warning information and sends the early warning information to the intelligent terminal of the corresponding maintenance personnel;
after receiving the secondary early warning information, the cloud platform sends a stopping instruction to the intelligent control module and simultaneously sends a secondary warning signal to the warning module;
after receiving the stopping instruction, the intelligent control module controls the flameproof frequency converter to stop working;
and after receiving the secondary alarm signal, the alarm module generates abnormal information and sends the abnormal information to the intelligent terminal of the corresponding maintenance personnel.
Preferably, the temperature data is a peak value of the ambient temperature when the explosion-proof frequency converter is in a working state; the humidity data are average values of the environmental humidity when the explosion-proof frequency converter is in a working state; the gas concentration is the peak value of the concentration of the ambient gas when the explosion-proof frequency converter is in the working state.
Preferably, the data acquisition module adopts a periodic acquisition mode when acquiring the equipment information and the environmental parameters, and the acquisition period is set by a cloud platform; and when the equipment information is sent to the cloud platform, the acquired period is numbered, the value of I is 1,2,3 and … … I, and I is the total number of acquisition.
Preferably, the calculation formula of the device association value is:
where ε is the device correction factor and ε (0, 1).
Preferably, the calculation formula of the environment correlation value is as follows:
wherein α, β and γ are temperature correction coefficient, humidity correction coefficient and concentration correction coefficient, respectively, and α, β and γ are real numbers larger than zero.
Preferably, the calculation formula of the monitoring reminding coefficient is as follows: XS (extensible markup language) i ＝a×SB i +b×HJ i ；
Wherein a and b are the influence coefficients of the device association value and the environment association value, respectively, and a and b are real numbers greater than 0, a+b=1.
Preferably, the establishing the device regulation model based on the artificial intelligence model includes:
standard training data are acquired from the intelligent control module;
and training the artificial intelligent model through standard training data, and marking the trained artificial intelligent model as an equipment regulation model.
Preferably, the intelligent terminal comprises a smart phone and a computer.
Preferably, the cloud platform is in communication and/or electrical connection with the data processing module;
the cloud platform is in communication and/or electrical connection with the data processing module;
the cloud platform is in communication and/or electrical connection with the intelligent control module;
the cloud platform is in communication and/or electrical connection with the intelligent alarm module.
Compared with the prior art, the invention has the beneficial effects that:
the invention monitors the equipment information and the environmental parameters of the flameproof frequency converter through the data acquisition module; the data processing module processes the received equipment information and the environment parameters, acquires the monitoring reminding coefficient, sets a first monitoring reminding coefficient threshold value and a second monitoring reminding coefficient threshold value, and compares the first monitoring reminding coefficient threshold value and the second monitoring reminding coefficient threshold value; acquiring primary early warning information and secondary early warning information; the intelligent control module acquires corresponding regulation and control instructions according to the primary early warning information and regulates and controls the environment of the explosion-proof frequency converter according to the regulation and control instructions; the alarm module generates early warning information according to the first-level early warning information; the intelligent control module controls the explosion-proof frequency converter to stop working according to the secondary early warning information; the alarm module generates abnormal information according to the secondary early warning information; the working state and the environment of the explosion-proof frequency converter are monitored and timely processed, the explosion-proof frequency converter is prevented from being abnormal due to external factors, and the service efficiency of the equipment is improved.
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Fig. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the explosion-proof frequency converter control system comprises a cloud platform, and a data acquisition module, a data processing module, an intelligent control module and an intelligent alarm module which are connected with the cloud platform; the modules perform information interaction based on digital signals;
the data acquisition module is used for monitoring equipment information and environmental parameters of the explosion-proof frequency converter; wherein the equipment information comprises vibration amplitude, and the environmental parameters comprise temperature data, humidity data and gas concentration; the vibration amplitude is measured by a vibration sensor, and when the vibration amplitude is measured, the explosion-proof frequency converter is in a working state;
in this embodiment, the temperature data is a peak value of an ambient temperature when the flameproof frequency converter is in a working state; the humidity data are average values of the environmental humidity when the explosion-proof frequency converter is in a working state; the gas concentration is the peak value of the concentration of the ambient gas when the explosion-proof frequency converter is in the working state;
and sending the environmental parameters to the cloud platform, wherein the cloud platform stores the received equipment information and the environmental parameters in a data manner.
In this embodiment, when the data acquisition module acquires the device information and the environmental parameter, a periodic acquisition mode is adopted, and an acquisition period is set by a cloud platform; and when the equipment information is sent to the cloud platform, the acquired period is numbered, the value of I is 1,2,3 and … … I, and I is the total number of acquisition.
The data processing module is used for processing the received equipment information and the received environment parameters, and comprises the following steps:
the data processing module receives the equipment information and the environmental parameters and marks the vibration amplitude, the temperature data, the humidity data and the gas concentration as A respectively i 、W i 、S i C i ；
The data processing module obtains a device association value by using a calculation formula and marks the device association value as SB i ；
The calculation formula of the equipment association value is as follows:
wherein epsilon is a device correction factor and epsilon is (0, 1);
the data processing module obtains an environment association value by using a calculation formula, and marks the environment association value as HJ i ；
The calculation formula of the environment association value is as follows:
wherein, alpha, beta and gamma are temperature correction coefficient, humidity correction coefficient and concentration correction coefficient respectively, and alpha, beta and gamma are real numbers larger than zero;
the data processing module obtains a monitoring reminding coefficient by using a calculation formula, and marks the monitoring reminding coefficient as XS i ；
The calculation formula of the monitoring reminding coefficient is as follows: XS (extensible markup language) i ＝a×SB i +b×HJ i ；
Wherein a and b are the influence coefficients of the device association value and the environment association value, respectively, and a and b are real numbers larger than 0, a+b=1;
the data processing module sets a first monitoring reminding coefficient threshold value and a second monitoring reminding coefficient threshold value, and compares the monitoring reminding coefficient with the first monitoring reminding coefficient threshold value and the second monitoring reminding coefficient threshold value; the first monitoring reminding coefficient threshold value is smaller than the second monitoring reminding coefficient threshold value;
when the monitoring reminding coefficient is smaller than the first monitoring reminding coefficient threshold value, namely the flameproof frequency converter is in a safe working state and environment, the data processing module does not process;
when the monitoring reminding coefficient is larger than or equal to the first monitoring reminding coefficient threshold value and smaller than or equal to the second monitoring reminding coefficient threshold value, the data processing module sends primary early warning information to a cloud platform;
and when the monitoring reminding coefficient is larger than the second monitoring reminding coefficient threshold value, the data processing module sends secondary early warning information to the cloud platform.
After receiving the primary early warning information, the cloud platform sends a regulation and control instruction to the intelligent control module and simultaneously sends a primary warning signal to the warning module;
after receiving the regulation and control instruction, the intelligent control module acquires corresponding abnormal equipment information and environment parameters, and integrates the abnormal equipment information and the environment parameters into original data;
acquiring an equipment regulation model from an intelligent control module;
inputting the original data into an equipment regulation model to obtain a corresponding regulation instruction;
the intelligent control regulates and controls the environment of the explosion-proof frequency converter according to the regulation and control instruction; the environment of the explosion-proof frequency converter is regulated according to the regulation and control instruction, namely, the environment temperature, the environment humidity and the gas concentration are regulated;
the alarm module generates early warning information and sends the early warning information to the intelligent terminal of the corresponding maintenance personnel; the early warning information comprises corresponding abnormal equipment information and environment parameters;
after receiving the secondary early warning information, the cloud platform sends a stopping instruction to the intelligent control module and simultaneously sends a secondary warning signal to the warning module;
after receiving the stopping instruction, the intelligent control module controls the flameproof frequency converter to stop working;
after receiving the secondary alarm signal, the alarm module generates abnormal information and sends the abnormal information to the intelligent terminal of the corresponding maintenance personnel; the abnormal information comprises corresponding abnormal equipment information and environment parameters.
In this embodiment, the establishing the device regulation model based on the artificial intelligence model includes:
standard training data are acquired from the intelligent control module;
and training the artificial intelligent model through standard training data, and marking the trained artificial intelligent model as an equipment regulation model.
In this embodiment, the standard training data includes several groups of input data and corresponding regulation and control instructions, and the content attributes of the input data and the original data are consistent; it will be appreciated that the input data and the raw data each include a selected number N of device information and environment parameters, with the exception that the device information and environment parameters differ in magnitude.
In this embodiment, the artificial intelligence model includes a model with strong nonlinear fitting capability such as a deep convolutional neural network model or an RBF neural network model.
In this embodiment, the intelligent terminal includes intelligent devices such as a smart phone and a computer.
In this embodiment, the cloud platform is in communication and/or electrical connection with the data processing module;
the cloud platform is in communication and/or electrical connection with the data processing module;
the cloud platform is in communication and/or electrical connection with the intelligent control module;
the cloud platform is in communication and/or electrical connection with the intelligent alarm module.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (9)
1. The explosion-proof frequency converter control system is characterized by comprising a cloud platform, and a data acquisition module, a data processing module, an intelligent control module and an intelligent alarm module which are connected with the cloud platform; the modules perform information interaction based on digital signals;
the data acquisition module is used for monitoring equipment information and environmental parameters of the explosion-proof frequency converter; wherein the equipment information comprises vibration amplitude, and the environmental parameters comprise temperature data, humidity data and gas concentration;
the environment parameters are sent to the cloud platform, and the cloud platform stores the received equipment information and the environment parameters in a data mode;
the data processing module is used for processing the received equipment information and the received environment parameters, and comprises the following steps:
the data processing module receives the equipment information and the environmental parameters and marks the vibration amplitude, the temperature data, the humidity data and the gas concentration as A respectively i 、W i 、S i C i ；
The data processing module obtains a device association value by using a calculation formula and marks the device association value as SB i ；
The data processing module obtains an environment association value by using a calculation formula, and marks the environment association value as HJ i ；
The data processing module obtains a monitoring reminding coefficient by using a calculation formula, and marks the monitoring reminding coefficient as XS i ；
The data processing module sets a first monitoring reminding coefficient threshold value and a second monitoring reminding coefficient threshold value, and compares the monitoring reminding coefficient with the first monitoring reminding coefficient threshold value and the second monitoring reminding coefficient threshold value; the first monitoring reminding coefficient threshold value is smaller than the second monitoring reminding coefficient threshold value;
when the monitoring reminding coefficient is smaller than the first monitoring reminding coefficient threshold value, namely the flameproof frequency converter is in a safe working state and environment, the data processing module does not process;
when the monitoring reminding coefficient is larger than or equal to the first monitoring reminding coefficient threshold value and smaller than or equal to the second monitoring reminding coefficient threshold value, the data processing module sends primary early warning information to a cloud platform;
when the monitoring reminding coefficient is larger than the second monitoring reminding coefficient threshold value, the data processing module sends secondary early warning information to a cloud platform;
after receiving the primary early warning information, the cloud platform sends a regulation and control instruction to the intelligent control module and simultaneously sends a primary warning signal to the warning module;
after receiving the regulation and control instruction, the intelligent control module acquires corresponding abnormal equipment information and environment parameters, and integrates the abnormal equipment information and the environment parameters into original data;
acquiring an equipment regulation model from an intelligent control module; wherein, the device regulation model is established based on an artificial intelligence model;
inputting the original data into an equipment regulation model to obtain a corresponding regulation instruction;
the intelligent control regulates and controls the environment of the explosion-proof frequency converter according to the regulation and control instruction;
the alarm module generates early warning information and sends the early warning information to the intelligent terminal of the corresponding maintenance personnel;
after receiving the secondary early warning information, the cloud platform sends a stopping instruction to the intelligent control module and simultaneously sends a secondary warning signal to the warning module;
after receiving the stopping instruction, the intelligent control module controls the flameproof frequency converter to stop working;
and after receiving the secondary alarm signal, the alarm module generates abnormal information and sends the abnormal information to the intelligent terminal of the corresponding maintenance personnel.
2. The explosion-proof frequency converter control system according to claim 1, wherein the temperature data is a peak value of an ambient temperature when the explosion-proof frequency converter is in a working state; the humidity data are average values of the environmental humidity when the explosion-proof frequency converter is in a working state; the gas concentration is the peak value of the concentration of the ambient gas when the explosion-proof frequency converter is in the working state.
3. The explosion-proof frequency converter control system according to claim 1, wherein the data acquisition module adopts a periodic acquisition mode when acquiring the equipment information and the environmental parameters, and the acquisition period is set by a cloud platform; and when the equipment information is sent to the cloud platform, the acquired period is numbered, the value of I is 1,2,3 and … … I, and I is the total number of acquisition.
4. The explosion-proof frequency converter control system according to claim 1, wherein the calculation formula of the equipment association value is:
where ε is the device correction factor and ε (0, 1).
5. The explosion-proof frequency converter control system according to claim 1, wherein the calculation formula of the environment correlation value is:
wherein α, β and γ are temperature correction coefficient, humidity correction coefficient and concentration correction coefficient, respectively, and α, β and γ are real numbers larger than zero.
6. The explosion-proof frequency converter control system according to claim 1, wherein the calculation formula of the monitoring reminding coefficient is: XS (extensible markup language) i ＝a×SB i +b×HJ i ；
Wherein a and b are the influence coefficients of the device association value and the environment association value, respectively, and a and b are real numbers greater than 0, a+b=1.
7. The flameproof frequency converter control system according to claim 1, wherein the equipment regulation model is built based on an artificial intelligence model, comprising:
standard training data are acquired from the intelligent control module;
and training the artificial intelligent model through standard training data, and marking the trained artificial intelligent model as an equipment regulation model.
8. The explosion-proof frequency converter control system according to claim 1, wherein the intelligent terminal comprises a smart phone and a computer.
9. The explosion-proof frequency converter control system according to claim 1, wherein the cloud platform is in communication and/or electrical connection with the data processing module;
the cloud platform is in communication and/or electrical connection with the data processing module;
the cloud platform is in communication and/or electrical connection with the intelligent control module;
the cloud platform is in communication and/or electrical connection with the intelligent alarm module.
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| CN202310013120.4A CN116107369A (en) | 2023-01-05 | 2023-01-05 | Explosion-proof frequency converter control system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117055667A (en) * | 2023-09-27 | 2023-11-14 | 美显信息科技(上海)有限公司 | Intelligent control method and system for multifunctional mirror cabinet |
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2023
- 2023-01-05 CN CN202310013120.4A patent/CN116107369A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117055667A (en) * | 2023-09-27 | 2023-11-14 | 美显信息科技(上海)有限公司 | Intelligent control method and system for multifunctional mirror cabinet |
| CN117055667B (en) * | 2023-09-27 | 2024-03-26 | 美显信息科技(上海)有限公司 | Intelligent control method and system for multifunctional mirror cabinet |
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