CN110912268B - Active filter information processing method based on Internet of things information platform - Google Patents
Active filter information processing method based on Internet of things information platform Download PDFInfo
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- CN110912268B CN110912268B CN201911183120.9A CN201911183120A CN110912268B CN 110912268 B CN110912268 B CN 110912268B CN 201911183120 A CN201911183120 A CN 201911183120A CN 110912268 B CN110912268 B CN 110912268B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/20—Active power filtering [APF]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/124—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wired telecommunication networks or data transmission busses
Abstract
The invention relates to an active filter information processing method based on an Internet of things information platform, which comprises the following steps: the active filter records the high-low level time marks of the PWM modulation wave at the front end of the re-captured IGBT, and uploads the high-low level time marks of the PWM modulation wave at the front end of the re-captured IGBT through a CAN bus when the fault occurs; the method comprises the steps of constructing information collection and processing, receiving operation time information of an active power filter through a CAN bus, collecting PWM high-low level time scale data of the active power filter in fault, and remotely transmitting the time scale data to a platform for processing; constructing a platform information system, storing a PWM modulation wave time scale when a fault occurs, recovering a DSP output waveform and an IGBT actually received modulation waveform when the fault occurs, accurately recovering the position of the PWM waveform when the fault occurs and what kind of interference is received, and accumulating data; and the STM32 platform collects power quality information such as harmonic waves and inter-harmonic waves and the like through PCC public connection point analysis, and compares the power quality information with power quality information of the load side of the active power filter.
Description
Technical Field
The invention relates to the technical field of electronic information, in particular to an active filter information processing method based on an Internet of things information platform.
Background
The active power filter is widely applied, solves the harmonic influence caused by the gradual development of power electronic converter equipment, and is an essential device of a modern power system. The active power filter generally comprises a DSP main controller, a sampling module, an IGBT module, an energy storage module and the like.
However, the reliability of the active power filter is still improved, the IGBT and other core components are sensitive, and phenomena such as explosion and the like can occur once the active power filter fails, so that the operation of equipment is greatly influenced. However, the time of the devices to fail is extremely short, and the difficulty of removing the disc again after the failure is extremely high, so that the operation data and the failure data of the equipment are accumulated in time and sent remotely, and a judgment basis is provided for improving the reliability of the active power filter.
In addition, users lack visual knowledge of the operation effect of the active power filter, professional data analysis depends on an expensive electric energy quality on-line monitoring device, economy is low, and the device is not matched with a plurality of treatment devices, so that the good and bad effects of the active power filter cannot be fully reflected, and a plurality of troubles are caused for project assessment.
Disclosure of Invention
1. The technical problems to be solved are as follows:
aiming at the technical problems, the invention provides an active power filter information processing method based on an Internet of things information platform, which realizes the information processing of an active power filter by transmitting the data of the active power filter to the Internet of things platform.
2. The technical scheme is as follows:
an active filter information processing method based on an Internet of things information platform is characterized by comprising the following steps of: comprising the following steps:
abnormal PWM of the active power filter is obtained and recorded, and the abnormal PWM is specifically as follows: when the DSP of the active power filter outputs PWM modulation waves to drive the IGBT, recording time marks of high and low levels, namely recording current time at the time of switching from low level to high level and the time of switching from high level to low level respectively, and simplifying PWM waveforms into a group of time arrays; and the PWM modulation wave output to the front end of the IGBT module is subjected to isolation transformation, returns to the DSP main controller for capturing, and also records the high and low level time marks, and in the equipment failure state, the time array data recorded in the failure is transmitted to the platform through the CAN bus.
The method comprises the steps of collecting and transmitting operation and fault information of an active power filter, specifically, collecting equipment operation information through a CAN bus when the active power filter operates normally by a processor STM32 module of a platform, and collecting PWM output and capturing level time scale data when the active power filter fails and remotely transmitting the PWM output and capturing level time scale data to an informationized cloud platform through a wireless network.
Active power filter device data accumulation and abnormal PWM restoration, comprising: the cloud platform records running state data and fault information of the active power filter, accumulates the data, recovers waveforms according to the received PWM output time mark and the captured time mark, and restores PWM abnormal points.
The operation effect of the active power filter is analyzed, and the method specifically comprises the following steps: and setting voltage and current waveform sampling, modulation, analog-to-digital conversion and analysis of the PCC public connection point on the platform, calculating power quality information, comparing the power quality information with the power quality of the load side of the active power filter received through the CAN, and analyzing the operation effect for a user to access through the Ethernet.
Further, the fault judgment in the abnormal PWM acquisition and recording of the active power filter is carried out by a method preset in the DSP of the active power filter.
Further, in the operation of the active power filter and the collection and transmission of fault information, when the active power filter fails, the failed PWM modulation wave time array is taken as a high-priority array to be received and sent up, and all other transmissions are suspended at the same time; and when the active power filter is normal, the normal operation data of the active power filter is received and uploaded at regular time.
Further, the abnormal PWM restoration specifically includes: the cloud platform receives operation data and states through a wireless network, and data information sent by an STM32 hardware module of the platform is classified and stored in a database of the platform; when a fault occurs, the PWM modulation time array is restored, and a fault analysis graphical display interface is utilized to draw a high level from the moment of switching the low level to the moment of switching the high level to the low level, and draw a low level from the moment of switching the high level to the low level to the moment of switching the low level to the high level.
Further, the STM32 is a hardware module, integrates a sampling transformer, a signal conditioning circuit and an A/D conversion circuit, performs sampling analysis on voltage and current data of the PCC public connection point, and calculates power quality data; the electric energy quality data refer to harmonic and inter-harmonic distortion data; comparing the power quality data with the active power filter load side distortion data received by the STM32 module through the CAN at the same time, thereby realizing the actual operation effect of the active power filter; and the contrast data is obtained on STM32 by HTTP service, remote clients being able to access specific IPs via web pages.
3. The beneficial effects are that:
(1) Besides the traditional equipment operation data and fault data record, the method adds a PWM abnormal output monitoring mechanism, when the fault occurs, the mechanism simultaneously records the PWM level conversion time scale expected to be output by the program and the level conversion time scale actually received by the IGBT, and a wireless communication module is designed, so that the data can be conveniently and remotely transmitted in time.
(2) According to the method, an active power filter cloud monitoring platform is established, after remote operation fault data are received, arrangement analysis is carried out, recovery is carried out particularly according to PWM level conversion time marks, abnormal square wave output at the fault occurrence time is restored to a great extent, and an interfered dead zone is displayed in a visual mode.
(3) According to the cloud platform, operation and fault data of the active power filter are accumulated, unstable unsafe factors are screened out through an anomaly monitoring mechanism, and the working conditions are combined for inquiry, so that guidance is provided for improving equipment stability.
(4) According to the method, a current and voltage acquisition transformer, a signal conditioning circuit, an analog-to-digital conversion circuit and the like for the public connection point on site are added, acquired data are calculated on software, harmonic wave and other electric energy quality information are analyzed, http service is designed, and web page access is provided for report output.
Drawings
FIG. 1 is a schematic diagram of an active power filter PWM anomaly monitoring mechanism in the present method;
fig. 2 is a structural diagram of the method.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings.
An active filter information processing method based on an Internet of things information platform is characterized by comprising the following steps of: comprising the following steps:
abnormal PWM of the active power filter is obtained and recorded, and the abnormal PWM is specifically as follows: when the DSP of the active power filter outputs PWM modulation waves to drive the IGBT, recording time marks of high and low levels, namely recording current time at the time of switching from low level to high level and the time of switching from high level to low level respectively, and simplifying PWM waveforms into a group of time arrays; and the PWM modulation wave output to the front end of the IGBT module is subjected to isolation transformation, returns to the DSP main controller for capturing, and also records the high and low level time marks, and in the equipment failure state, the time array data recorded in the failure is transmitted to the platform through the CAN bus.
The method comprises the steps of collecting and transmitting operation and fault information of an active power filter, specifically, collecting equipment operation information through a CAN bus when the active power filter operates normally by a processor STM32 module of a platform, and collecting PWM output and capturing level time scale data when the active power filter fails and remotely transmitting the PWM output and capturing level time scale data to an informationized cloud platform through a wireless network.
Active power filter device data accumulation and abnormal PWM restoration, comprising: the cloud platform records running state data and fault information of the active power filter, accumulates the data, recovers waveforms according to the received PWM output time mark and the captured time mark, and restores PWM abnormal points.
The operation effect of the active power filter is analyzed, and the method specifically comprises the following steps: and setting voltage and current waveform sampling, modulation, analog-to-digital conversion and analysis of the PCC public connection point on the platform, calculating power quality information, comparing the power quality information with the power quality of the load side of the active power filter received through the CAN, and analyzing the operation effect for a user to access through the Ethernet.
Further, the fault judgment in the abnormal PWM acquisition and recording of the active power filter is carried out by a method preset in the DSP of the active power filter.
Further, in the operation of the active power filter and the collection and transmission of fault information, when the active power filter fails, the failed PWM modulation wave time array is taken as a high-priority array to be received and sent up, and all other transmissions are suspended at the same time; and when the active power filter is normal, the normal operation data of the active power filter is received and uploaded at regular time.
Further, the abnormal PWM restoration specifically includes: the cloud platform receives operation data and states through a wireless network, and data information sent by an STM32 hardware module of the platform is classified and stored in a database of the platform; when a fault occurs, the PWM modulation time array is restored, and a fault analysis graphical display interface is utilized to draw a high level from the moment of switching the low level to the moment of switching the high level to the low level, and draw a low level from the moment of switching the high level to the low level to the moment of switching the low level to the high level.
Further, the STM32 is a hardware module, integrates a sampling transformer, a signal conditioning circuit and an A/D conversion circuit, performs sampling analysis on voltage and current data of the PCC public connection point, and calculates power quality data; the electric energy quality data refer to harmonic and inter-harmonic distortion data; comparing the power quality data with the active power filter load side distortion data received by the STM32 module through the CAN at the same time, thereby realizing the actual operation effect of the active power filter; and the contrast data is obtained on STM32 by HTTP service, remote clients being able to access specific IPs via web pages.
As shown in the PWM monitoring mechanism diagram of the active power filter in FIG. 1, the DSP outputs PWM waveforms to pass through the isolation driving circuit so that the IGBT module works. Different from the traditional mode, a PWM isolation capture circuit of the IGBT front end is added, and meanwhile, the output PWM level conversion time scale in the sampling window and the captured PWM level conversion time scale of the IGBT front end are recorded in real time in the form of a fixed time sampling window. When a fault occurs, the DSP stores and uploads the time scale data in the sampling windows before and after the fault.
As shown in the structural diagram of the method in FIG. 2, the STM32 is used as a hardware core module of the platform, the STM32 is communicated with the active power filter through the FD-CAN, operation and fault data of the active power filter are received, and the data are timely and remotely transmitted to the cloud information platform through the wireless communication module. The PWM time scale data during faults are restored according to time scales at the cloud, the high and low levels are drawn according to different time scales, the original output PWM waveform and the actual waveform of the front end of the IGBT are displayed in a near-real mode, interference points during faults are obtained according to comparison, and the fault reasons can be analyzed according to working conditions.
In fig. 2, the voltage and current of the common connection point PCC are sampled, modulated, and the sampled waveform is subjected to software analysis by the AD conversion circuit, STM32, and power quality data such as inter-harmonic waves are obtained through fourier transformation. And simultaneously, an http service is established on STM32 software, a user can access the data through a local computer local area network, and an evaluation report is printed by one key, so that expensive power quality analysis equipment is not required to be purchased additionally.
While the invention has been described with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention, and it is intended that the scope of the invention shall be limited only by the claims appended hereto.
Claims (1)
1. An active filter information processing method based on an Internet of things information platform is characterized by comprising the following steps of: comprising the following steps:
abnormal PWM of the active power filter is obtained and recorded, and the abnormal PWM is specifically as follows: when the DSP of the active power filter outputs PWM modulation waves to drive the IGBT, recording time marks of high and low levels, namely recording current time at the time of switching from low level to high level and the time of switching from high level to low level respectively, and simplifying PWM waveforms into a group of time arrays; the PWM modulation wave output to the front end of the IGBT module is subjected to isolation transformation and returned to the DSP main controller for capturing, the high-low level time marks are recorded again, and the time array data recorded during the fault is transmitted to the platform through the CAN bus under the equipment fault state;
the method comprises the steps of collecting and transmitting operation and fault information of an active power filter, specifically, collecting equipment operation information through a CAN bus when the active power filter operates normally by a processor STM32 module of a platform, collecting PWM output and capturing level time scale data when the active power filter fails, and remotely transmitting the data to an informationized cloud platform through a wireless network;
active power filter device data accumulation and abnormal PWM restoration, comprising: the cloud platform records running state data and fault information of the active power filter, accumulates the data, and recovers the waveform according to the received PWM output time mark and the captured time mark to restore the PWM abnormal point;
the operation effect of the active power filter is analyzed, and the method specifically comprises the following steps: setting voltage and current waveform sampling, modulation, analog-to-digital conversion and analysis of a PCC public connection point on a platform, calculating power quality information, comparing the power quality information with power quality of a load side of an active power filter received through a CAN, and analyzing an operation effect for a user to access through an Ethernet;
the fault judgment in the abnormal PWM acquisition and recording of the active power filter is carried out by a method of presetting a DSP of the active power filter;
in the operation of the active power filter and the collection and transmission of fault information, when the active power filter fails, the failed PWM modulation wave time array is taken as a high-priority array to be received and sent up, and all other transmissions are suspended at the same time; when the active power filter is normal, the normal operation data of the active power filter is received and uploaded at regular time;
the abnormal PWM recovery specifically comprises: the cloud platform receives operation data and states through a wireless network, and data information sent by an STM32 hardware module of the platform is classified and stored in a database of the platform; when a fault occurs, recovering the PWM modulation time array, and drawing a high level from the moment of switching the low level to a high level to a low level by utilizing a fault analysis graphical display interface, and drawing a low level from the moment of switching the high level to the low level to the moment of switching the low level to the high level;
the STM32 is a hardware module, integrates a sampling transformer, a signal conditioning circuit and an A/D conversion circuit, performs sampling analysis on voltage and current data of a PCC public connection point, and calculates electric energy quality data; the electric energy quality data refer to harmonic and inter-harmonic distortion data; comparing the power quality data with the active power filter load side distortion data received by the STM32 module through the CAN at the same time, thereby realizing the actual operation effect of the active power filter; and the contrast data is obtained on STM32 by HTTP service, remote clients being able to access specific IPs via web pages.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102822805A (en) * | 2010-03-31 | 2012-12-12 | 罗伯特·博世有限公司 | Hardware data processing unit and method for monitoring cycle duration of routing unit |
| CN105224481A (en) * | 2015-10-22 | 2016-01-06 | 福州瑞芯微电子股份有限公司 | PWM transmits the implementation of data in input mode |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102822805A (en) * | 2010-03-31 | 2012-12-12 | 罗伯特·博世有限公司 | Hardware data processing unit and method for monitoring cycle duration of routing unit |
| CN105224481A (en) * | 2015-10-22 | 2016-01-06 | 福州瑞芯微电子股份有限公司 | PWM transmits the implementation of data in input mode |
Non-Patent Citations (1)
| Title |
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| 吴泳等.滤波器在物联网中的应用与仿真研究.《湖南邮电职业技术学院学报》.2018,第第17卷卷(第第17卷期),第9-11页. * |
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