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CN113761303A - State monitoring method and device of frequency converter and computer readable storage medium - Google Patents

State monitoring method and device of frequency converter and computer readable storage medium Download PDF

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Publication number
CN113761303A
CN113761303A CN202110990887.3A CN202110990887A CN113761303A CN 113761303 A CN113761303 A CN 113761303A CN 202110990887 A CN202110990887 A CN 202110990887A CN 113761303 A CN113761303 A CN 113761303A
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China
Prior art keywords
frequency converter
real
time
data
edge computing
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CN202110990887.3A
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Chinese (zh)
Inventor
薛龙
陈云
李欣然
张忠权
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Siemens Factory Automation Engineering Ltd
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Siemens Factory Automation Engineering Ltd
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Priority to CN202110990887.3A priority Critical patent/CN113761303A/en
Publication of CN113761303A publication Critical patent/CN113761303A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9038Presentation of query results
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/40Display of information, e.g. of data or controls

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

The embodiment of the invention discloses a method and a device for monitoring the state of a frequency converter and a computer readable storage medium. The method comprises the following steps: collecting frequency converter state information from a frequency converter connected to the edge computing device; storing the state information of the frequency converter into a database file; performing data analysis processing on the state information of the frequency converter acquired from the database file to generate a visual analysis report; and displaying the visual analysis report. According to the embodiment of the invention, data analysis is performed at the edge computing equipment, so that the sampling frequency can be increased and the cost can be saved. The embodiment of the invention can also acquire and display the key working index of the frequency converter through deep data analysis, thereby realizing data visualization.

Description

State monitoring method and device of frequency converter and computer readable storage medium
Technical Field
The invention relates to the technical field of frequency converters, in particular to a method and a device for monitoring the state of a frequency converter and a computer readable storage medium.
Background
The frequency converter is an electric control device which applies a frequency conversion technology and a microelectronic technology and controls an alternating current motor by changing the frequency mode of a working power supply of the motor. The frequency converter mainly comprises a rectifying unit (alternating current to direct current), a filtering unit, an inverting unit (direct current to alternating current), a braking unit, a driving unit, a detecting unit, a microprocessing unit and the like. The frequency converter utilizes the on-off of internal electronic components (such as IGBT) to adjust the voltage and frequency of an output power supply, and provides the required power supply voltage according to the actual requirement of the motor, thereby achieving the purposes of energy conservation and speed regulation. In addition, the frequency converter has a plurality of protection functions, such as overcurrent, overvoltage, overload protection and the like. With the continuous improvement of the industrial automation degree, the frequency converter is widely applied.
For the development of industrial digitization today, it is particularly important to drive data analysis, data acquisition, and visualization of numbers. However, the data acquisition and analysis system of the frequency converter only has products based on industrial cloud, has the disadvantages of low sampling frequency and long sampling period (the fastest sampling period can be set to only 1 second), and also has the disadvantage of high cost because data is generally charged according to flow.
Disclosure of Invention
The embodiment of the invention provides a method and a device for monitoring the state of a frequency converter and a computer readable storage medium.
A method for monitoring the state of a frequency converter is suitable for edge computing equipment deployed on the side of the frequency converter, and comprises the following steps:
collecting frequency converter state information from a frequency converter connected to the edge computing device;
storing the state information of the frequency converter into a database file;
performing data analysis processing on the state information of the frequency converter acquired from the database file to generate a visual analysis report;
and displaying the visual analysis report.
Therefore, the data analysis is performed at the edge computing device, so that the sampling frequency can be increased, the cost can be saved, and the data visualization can be realized.
In one embodiment, the collecting transducer status information from a transducer connected to the edge computing device includes at least one of:
collecting real-time status data of a single transducer from the single transducer connected to the edge computing device;
collecting real-time status data of each frequency converter from each of a plurality of frequency converters connected to the edge computing device;
collecting non-real-time status data of a single transducer from the single transducer connected to the edge computing device;
collecting, from each of a plurality of transducers coupled to the edge computing device, non-real-time status data for each transducer, respectively.
Therefore, the state information of the frequency converter can contain real-time state data and non-real-time state data, and subsequent deep data analysis is facilitated.
In one embodiment, the real-time status data comprises at least one of:
the real-time rotating speed of a motor driven by the frequency converter; real-time current of a motor driven by the frequency converter; real-time voltage of a motor driven by the frequency converter; the direct current bus voltage of the frequency converter; the real-time temperature of the frequency converter;
the non-real-time status data comprises at least one of:
the frequency converter key parameters comprise the maximum allowable output current of the frequency converter, the maximum allowable output voltage of the frequency converter, the upper limit amplitude of the output frequency of the frequency converter, the lower limit amplitude of the output frequency of the frequency converter or the starting torque of the frequency converter; fault information of the frequency converter; a high frequency current signal of the frequency converter; and state data which is finally saved before the frequency converter fails.
It can be seen that the collected data of embodiments of the present invention are of various types.
In one embodiment, the collecting transducer status information from a transducer connected to the edge computing device includes:
and when the preset acquisition time is reached, acquiring the non-real-time state data from a frequency converter connected with the edge computing equipment.
Therefore, the collection times of the non-real-time state data can be reduced by setting the collection time.
In one embodiment, the collecting transducer status information from a transducer connected to the edge computing device includes: enabling a main thread to collect the real-time state data from the frequency converter in real time; enabling the main thread to activate a first auxiliary thread after judging that the preset acquisition time is reached; enabling the first auxiliary thread to collect key parameters of the frequency converter or fault information of the frequency converter from the frequency converter; enabling the first assist thread to activate a second assist thread;
the storing of the state information of the frequency converter into the database file comprises: enabling the main thread to store the real-time state data into the database file; enabling the first auxiliary thread to store the key parameters of the frequency converter or the fault information of the frequency converter into the database file;
the data analysis processing of the frequency converter state information acquired from the database file comprises: enabling the second auxiliary thread to acquire at least one of the real-time state data, the key parameters of the frequency converter or the fault information of the frequency converter from the database file, and performing data analysis processing on the at least one of the real-time state data, the key parameters of the frequency converter or the fault information of the frequency converter to generate a visual analysis report.
Therefore, the embodiment of the invention can realize high-efficiency data acquisition, data analysis and data visualization through the cooperative cooperation of the main thread, the first auxiliary thread and the second auxiliary thread.
In one embodiment, the performing data analysis processing on the at least one of real-time status data, the frequency converter key parameter, or fault information of the frequency converter includes at least one of:
performing weighted operation on the real-time state data, the key parameters of the frequency converter and the fault information of the frequency converter to determine key performance indexes of the frequency converter;
performing numerical operation on the real-time state data to determine a common data analysis index of the frequency converter;
counting fault information of the frequency converter to determine fault history analysis indexes of the frequency converter;
determining a maintenance information overview index of the frequency converter based on the real-time state data and the key parameter of the frequency converter;
determining a protection information overview index of the frequency converter based on the key parameter of the frequency converter;
and determining an operation information overview index of the frequency converter based on the real-time state data.
Therefore, various types of indexes can be displayed, and a user can conveniently know the performance of the frequency converter in a multi-dimensional manner.
A condition monitoring apparatus of a frequency converter, the condition monitoring apparatus being adapted to an edge computing device disposed on a side of the frequency converter, the condition monitoring apparatus comprising:
the acquisition module is used for acquiring state information of the frequency converter from the frequency converter connected with the edge computing equipment;
the storage module is used for storing the state information of the frequency converter into a database file;
the analysis module is used for performing data analysis processing on the frequency converter state information acquired from the database file to generate a visual analysis report;
and the display module is used for displaying the visual analysis report.
Therefore, the data analysis is performed at the edge computing device, so that the sampling frequency can be increased, the cost can be saved, and the data visualization can be realized.
In one embodiment, the acquisition module is configured to perform at least one of:
collecting real-time status data of a single transducer from the single transducer connected to the edge computing device;
collecting real-time status data of each frequency converter from each of a plurality of frequency converters connected to the edge computing device;
collecting non-real-time status data of a single transducer from the single transducer connected to the edge computing device;
collecting, from each of a plurality of transducers coupled to the edge computing device, non-real-time status data for each transducer, respectively.
Therefore, the state information of the frequency converter can contain real-time state data and non-real-time state data, and subsequent deep data analysis is facilitated.
In one embodiment, the real-time status data comprises at least one of:
the real-time rotating speed of a motor driven by the frequency converter; real-time current of a motor driven by the frequency converter; real-time voltage of a motor driven by the frequency converter; the direct current bus voltage of the frequency converter; the real-time temperature of the frequency converter;
the non-real-time status data comprises at least one of:
the frequency converter key parameters comprise the maximum allowable output current of the frequency converter, the maximum allowable output voltage of the frequency converter, the upper limit amplitude of the output frequency of the frequency converter, the lower limit amplitude of the output frequency of the frequency converter or the starting torque of the frequency converter; fault information of the frequency converter; a high frequency current signal of the frequency converter; and state data which is finally saved before the frequency converter fails.
It can be seen that the collected data of embodiments of the present invention are of various types.
In one embodiment, the acquisition module is configured to acquire the non-real-time status data from a frequency converter connected to the edge computing device when a predetermined acquisition time arrives.
Therefore, the collection times of the non-real-time state data can be reduced by setting the collection time.
In one embodiment, the acquiring module is configured to enable a main thread to acquire the real-time status data from the frequency converter in real time; enabling the main thread to activate a first auxiliary thread after judging that the preset acquisition time is reached; enabling the first auxiliary thread to collect key parameters of the frequency converter or fault information of the frequency converter from the frequency converter; enabling the first assist thread to activate a second assist thread;
the storage module is used for enabling the main thread to store the real-time state data into the database file; enabling the first auxiliary thread to store the key parameters of the frequency converter or the fault information of the frequency converter into the database file;
the analysis module is configured to enable the second auxiliary thread to obtain at least one of the real-time status data, the key parameter of the frequency converter, or the fault information of the frequency converter from the database file, and perform data analysis processing on the at least one of the real-time status data, the key parameter of the frequency converter, or the fault information of the frequency converter to generate a visual analysis report.
Therefore, the embodiment of the invention can realize high-efficiency data acquisition, data analysis and data visualization through the cooperative cooperation of the main thread, the first auxiliary thread and the second auxiliary thread.
In one embodiment, the analysis module is configured to perform at least one of:
performing weighted operation on the real-time state data, the key parameters of the frequency converter and the fault information of the frequency converter to determine key performance indexes of the frequency converter;
performing numerical operation on the real-time state data to determine a common data analysis index of the frequency converter;
counting fault information of the frequency converter to determine fault history analysis indexes of the frequency converter;
determining a maintenance information overview index of the frequency converter based on the real-time state data and the key parameter of the frequency converter;
determining a protection information overview index of the frequency converter based on the key parameter of the frequency converter;
and determining an operation information overview index of the frequency converter based on the real-time state data.
Therefore, various types of indexes can be displayed, and a user can conveniently know the performance of the frequency converter in a multi-dimensional manner.
A state monitoring device of a frequency converter comprises a processor and a memory;
the memory stores an application program executable by the processor, and the application program is used for causing the processor to execute the method for monitoring the state of the frequency converter.
A computer-readable storage medium having computer-readable instructions stored therein for performing a method of condition monitoring of a frequency converter as described in any one of the above.
Drawings
The foregoing and other features and advantages of the invention will become more apparent to those skilled in the art to which the invention relates upon consideration of the following detailed description of a preferred embodiment of the invention with reference to the accompanying drawings, in which:
fig. 1 is an architecture diagram of frequency converter condition monitoring according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method of monitoring a state of a frequency converter according to an embodiment of the present invention.
Fig. 3 is an exemplary flowchart of an initialization process and a status monitoring process of a frequency converter according to an embodiment of the present invention.
FIG. 4 is an exemplary diagram of a visualized analytics report, according to an embodiment of the present invention.
Fig. 5 is a structural diagram of a state monitoring apparatus of a frequency converter according to an embodiment of the present invention.
Fig. 6 is a block diagram of a state monitoring apparatus of a frequency converter having a processor-memory architecture according to an embodiment of the present invention.
Wherein the reference numbers are as follows:
meaning of reference numerals
11. 12, 13 frequency converter
31 edge computing device
32 communication links
State monitoring method of 200 frequency converter
201 to 204 steps
301 to 320 steps
41 first visual analysis report
42 second visual analytic report
43 third visual analytic report
44 fourth visual analytic report
441 transducer maintenance information overview
442 transducer protection information overview
443 frequency converter operational information overview
State monitoring device of 500 frequency converter
501 acquisition module
502 save module
503 analysis module
504 display module
State monitoring device of 600 frequency converter
601 processor
602 memory
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail by referring to the following examples.
For simplicity and clarity of description, the invention will be described below by describing several representative embodiments. Numerous details of the embodiments are set forth to provide an understanding of the principles of the invention. It will be apparent, however, that the invention may be practiced without these specific details. Some embodiments are not described in detail, but rather are merely provided as frameworks, in order to avoid unnecessarily obscuring aspects of the invention. Hereinafter, "including" means "including but not limited to", "according to … …" means "at least according to … …, but not limited to … … only". In view of the language convention of chinese, the following description, when it does not specifically state the number of a component, means that the component may be one or more, or may be understood as at least one.
In consideration of the defects of performing data acquisition and analysis on the frequency converter at the cloud end, the data acquisition process and the data analysis process of the frequency converter are deployed on the edge computing device (such as a PC) near the field device, so that the sampling frequency can be increased, and the cost can be saved. In addition, the embodiment of the invention can also acquire and display the key working index of the frequency converter through deep data analysis, thereby realizing data visualization.
Fig. 1 is an architecture diagram of condition monitoring of a frequency converter according to an embodiment of the present invention.
In fig. 1, one or more frequency converters are connected to the edge computing device 31 via a communication link 32. The edge computing device 31 is located in the vicinity of the frequency converter as a field device. In fig. 1, three frequency converters, respectively a frequency converter 11, a frequency converter 12 and a frequency converter 13, are exemplarily identified. In practice, the number of transducers having communication links 32 with the edge computing device 31 may be one or two, and may be greater than three.
The communication link 32 may be implemented as a wired communication link or a wireless communication link. For example, the wired communication link may include at least one of: universal serial bus, controller area network, serial port, etc.; the wireless wired communication link may include at least one of: an ethernet link, an infrared link interface, a near field communication link, a bluetooth link, a zigbee link, a wireless communication link, a wireless broadband link, and the like. Preferably, the communication link 32 is embodied in an industrial ethernet based communication protocol (such as the S7 protocol).
The edge computing device 31 may be implemented as a device having computing capabilities. For example, the edge computing device 31 may be implemented as a Personal Computer (PC), a Personal Digital Assistant (PDA), a server or a laptop computer or an intelligent terminal such as a smart phone.
The edge computing device 31 collects status information of each frequency converter from each of the frequency converters 11, 12, and 13, and performs data analysis processing on the status information of each frequency converter to generate and display a visual analysis report applicable to each frequency converter.
Therefore, the edge computing device 31 integrates the data acquisition capability, the data analysis capability and the visual display capability, avoids the time delay defect caused by data uploading and issuing, and improves the processing capability and the response speed of the frequency converter.
Fig. 2 is a flowchart of a method for monitoring the state of a frequency converter according to an embodiment of the present invention. The method 200 is applicable to edge computing devices deployed on the transducer side.
As shown in fig. 2, the method 200 includes:
step 201: transducer state information is collected from a transducer connected to the edge computing device.
In one embodiment, step 201 includes at least one of:
(1) and collecting real-time status data of the single transducer from the single transducer connected to the edge computing device.
(2) And collecting real-time status data of each frequency converter from each of a plurality of frequency converters connected to the edge computing device. That is, when the edge computing device is connected to multiple transducers, respective real-time status data is collected from each transducer.
(3) And collecting non-real-time status data of the single transducer from the single transducer connected to the edge computing device.
(4) And collecting non-real time status data of each frequency converter from each of a plurality of frequency converters connected to the edge computing device. That is, when the edge computing device is connected to a plurality of transducers, respective non-real time status data is collected from each transducer.
The real-time status data may characterize the real-time status of the frequency converter. The non-real-time status data is not used to characterize the real-time status of the frequency converter, but generally includes preset key parameters of the frequency converter, fault information of the frequency converter, high-frequency current signals of the frequency converter, and last saved status data before the frequency converter fails, etc.
Preferably, the real-time status data comprises at least one of: real-time rotation speed of a motor driven by a frequency converter; real-time current of a motor driven by a frequency converter; real-time voltage of a motor driven by a frequency converter; the DC bus voltage of the frequency converter; real-time temperature of the frequency converter, etc. Preferably, the non-real time status data comprises at least one of: the frequency converter key parameters comprise the maximum allowable output current of the frequency converter, the maximum allowable output voltage of the frequency converter, the upper limit amplitude of the output frequency of the frequency converter, the lower limit amplitude of the output frequency of the frequency converter or the starting torque of the frequency converter; fault information of the frequency converter; a high frequency current signal of the frequency converter; last saved state data before the frequency converter fails, and the like.
In one embodiment, in step 201, non-real-time status data is collected from a transducer coupled to the edge computing device when a predetermined collection time has been reached. Further, in step 201, real-time status data is collected in real-time from a transducer connected to the edge computing device.
Step 202: and storing the state information of the frequency converter into a database file.
Here, the state information of the frequency converter collected in step 201 is saved in a database file. Wherein the database file may be saved to an internal storage medium of the edge computing device or to an external storage medium accessible by the edge computing device. The real-time status data obtained in step 201 may be saved in a first portion of the database file and the non-real-time status data obtained in step 201 may be saved in a second portion of the database file. The storage space of the first portion is typically larger than the storage space of the second portion, considering that the storage amount of real-time status data is gradually increasing.
Step 203: and performing data analysis processing on the state information of the frequency converter acquired from the database file to generate a visual analysis report.
In one embodiment, the data analysis process is performed on at least one of real-time status data, frequency converter key parameters, or frequency converter fault information, including at least one of:
(1) and performing weighted operation on the real-time state data, the key parameters of the frequency converter and the fault information of the frequency converter to determine Key Performance Indicators (KPIs) of the frequency converter. For example, a fault rate factor is determined based on fault information of the frequency converter, an availability factor is determined based on real-time status data, a performance factor is determined based on key parameters (such as starting torque) of the frequency converter, and the fault rate factor, the availability factor and the performance factor are subjected to weighted summation to obtain the KPI.
(2) And performing numerical operation on the real-time state data to determine a common data analysis index of the frequency converter. Wherein the numerical operation may include: averaging, maximum, minimum or mean square error, etc.
(3) And counting the fault information of the frequency converter to determine the fault history analysis index of the frequency converter. For example, the fault history analysis indicators may include a fault rate and a total fault time, among others.
(4) And determining a maintenance information overview index of the frequency converter based on the real-time state data and the key parameters of the frequency converter. Such as determining the total time the motor has been running, the point in time the motor consumes the total power or the motor is next serviced, etc.
(5) And determining the protective information overview index of the frequency converter based on the key parameters of the frequency converter. For example, a protection temperature value of the frequency converter or a protection value of the motor temperature is determined, and the like.
(6) And determining the operation information overview index of the frequency converter based on the real-time state data. For example, the real-time status data is used to count the voltage average value of the motor, the current average value of the motor, the maximum voltage value of the motor or the maximum current value of the motor, etc.
Step 204: and displaying the visual analysis report.
Here, the visualized analytic report is presented on a display screen of the edge computing device. Then, the customer can debug or maintain the running equipment according to the analysis report condition.
In one embodiment, step 201 comprises: enabling a main thread to collect the real-time state data from the frequency converter in real time; enabling the main thread to activate a first auxiliary thread after judging that the preset acquisition time is reached; enabling the first auxiliary thread to collect key parameters of the frequency converter or fault information of the frequency converter from the frequency converter; enabling the first assist thread to activate a second assist thread. Step 202 comprises: enabling the main thread to store the real-time state data into a database file; enabling the first auxiliary thread to store key parameters of the frequency converter or fault information of the frequency converter into the database file. Step 203 comprises: enabling the second auxiliary thread to acquire at least one of the real-time state data, the key parameters of the frequency converter or the fault information of the frequency converter from the database file, and performing data analysis processing on the at least one of the real-time state data, the key parameters of the frequency converter or the fault information of the frequency converter to generate a visual analysis report.
Therefore, through the cooperative cooperation of the main thread, the first auxiliary thread and the second auxiliary thread, high-efficiency data acquisition, data analysis and data visualization can be realized.
Fig. 3 is an exemplary flowchart of an initialization process and a status monitoring process of a frequency converter according to an embodiment of the present invention.
The initialization process of the frequency converter comprises steps 300 to 306. The method specifically comprises the following steps: step 300: and starting. Step 301: and reading configuration information (such as IP address and the like) of the frequency converter. Step 302: and testing the communication state with each frequency converter. Step 303: and setting related variables of the frequency converter. Step 304: the edge computing device is synchronized with the frequency converter save clock. Step 305: and recording fault information of the frequency converter. Step 306: and recording initialization information of the frequency converter.
The process of monitoring the state of the frequency converter includes steps 307 to 320. The method specifically comprises the following steps:
step 307: the main thread determines whether the time for collecting the non-real-time status data is up, if so (corresponding to Y in fig. 3), step 309 and the subsequent steps are executed, otherwise (corresponding to N in fig. 3), step 308 and the subsequent steps are executed.
Step 308: the main thread reads the real-time status data of the frequency converter and writes the real-time status data to the database file, and then executes step 318.
Step 309: the first assist thread reads the key parameter settings of the frequency converter.
Step 310: and the first auxiliary thread reads the fault information of the frequency converter and generates a fault record.
Step 311: the first auxiliary thread activates a tracking (trace) trigger function of the vibration signal to acquire a high-frequency current signal of the frequency converter.
Step 312: and the first auxiliary thread activates a fault triggering function to acquire the last saved state data before the frequency converter fails.
Step 313: the first helper thread is ended.
Step 314: the second assist thread reads real-time status data and/or non-real-time status data from the database file.
Step 315: the second helper thread performs data arithmetic operations on the read real-time status data and/or non-real-time status data.
Step 316: and the second auxiliary thread generates various performance monitoring indexes of the frequency converter based on the result of the data operation. Such as a key performance indicator, a common data analysis indicator, a fault history analysis indicator, a maintenance information overview indicator, a protection information overview indicator, or an operational information overview indicator, among others.
Step 317: and ending the second auxiliary thread and ending the flow.
Step 318: the main thread generates an event record.
Step 319: and ending the main thread.
In a specific implementation for the process illustrated in FIG. 3, the edge computing device may be deployed on a PC near the field device (i.e., transducer). The PC is connected with the PN communication interface of the frequency converter through a network interface. For example, the communication protocol is an industrial ethernet based S7 protocol. One PC can be simultaneously connected with up to 10 frequency converters. The PC is provided with a main thread, a first auxiliary thread and a second auxiliary thread. The main thread rapidly collects real-time state data, and the first auxiliary thread periodically collects non-real-time state data of the frequency converter. And respectively storing the real-time state data and the non-real-time state data into an Access database file of the PC. And the second auxiliary thread performs summary processing on the data in the database file to generate various indexes of the frequency converter. The PC machine utilizes Power BI visualization tool to carry out the visualization to each index to show each index of converter comprehensively.
FIG. 4 is an exemplary diagram of a visualized analytics report, according to an embodiment of the present invention.
In fig. 4: the first visual analysis report 41 shows a chart containing the KPI results of the frequency converter. The second visual analysis report 42 shows a chart containing the general data analysis indexes of the frequency converter. A chart containing the failure history analysis index of the frequency converter is shown in the third visual analysis report 43. The fourth visual analysis report 44 shows a chart containing the status information overview index of the frequency converter. The fourth visual analysis report 44 includes a frequency converter maintenance information overview index 441, a frequency converter protection information overview index 442, and a frequency converter operation information overview index 443.
While the above exemplary description describes a typical example of an analytic report, those skilled in the art will appreciate that this description is exemplary only, and is not intended to limit the scope of embodiments of the present invention.
Fig. 5 is a structural diagram of a state monitoring apparatus of a frequency converter according to an embodiment of the present invention. The condition monitoring apparatus is suitable for an edge computing device disposed on a side of a frequency converter, and the apparatus 500 includes:
an acquisition module 501, configured to acquire frequency converter state information from a frequency converter connected to an edge computing device;
a saving module 502, configured to save the state information of the frequency converter in a database file;
the analysis module 503 is configured to perform data analysis processing on the frequency converter state information acquired from the database file to generate a visual analysis report;
and the display module 504 is used for displaying the visualized analysis report.
In one embodiment, the acquisition module 501 is configured to perform at least one of the following: collecting real-time state data of a single frequency converter from the single frequency converter connected with the edge computing device; respectively acquiring real-time state data of each frequency converter from each frequency converter in a plurality of frequency converters connected with the edge computing equipment; collecting non-real-time status data of a single frequency converter from the single frequency converter connected to the edge computing device; non-real time status data for each transducer is collected from each transducer of a plurality of transducers coupled to the edge computing device.
In one embodiment, the real-time status data comprises at least one of: real-time rotation speed of a motor driven by a frequency converter; real-time current of a motor driven by a frequency converter; real-time voltage of a motor driven by a frequency converter; the DC bus voltage of the frequency converter; real-time temperature of the frequency converter; the non-real-time status data comprises at least one of: the frequency converter key parameters comprise the maximum allowable output current of the frequency converter, the maximum allowable output voltage of the frequency converter, the upper limit amplitude of the output frequency of the frequency converter, the lower limit amplitude of the output frequency of the frequency converter or the starting torque of the frequency converter; fault information of the frequency converter; a high frequency current signal of the frequency converter; and finally storing state data before the frequency converter fails.
In one embodiment, the acquisition module 501 is configured to acquire non-real-time status data from a transducer coupled to the edge computing device when a predetermined acquisition time is reached.
In one embodiment, the acquiring module 501 is configured to enable the main thread to acquire real-time status data from the frequency converter in real time; enabling the main thread to activate a first auxiliary thread after judging that the preset acquisition time is reached; enabling the first auxiliary thread to acquire key parameters of the frequency converter or fault information of the frequency converter from the frequency converter; enabling the first assist thread to activate a second assist thread; a saving module 502, configured to enable the main thread to save the real-time status data in a database file; enabling the first auxiliary thread to store key parameters of the frequency converter or fault information of the frequency converter into a database file; the analysis module 503 is configured to enable the second auxiliary thread to obtain at least one of the real-time status data, the key parameter of the frequency converter, or the fault information of the frequency converter from the database file, and perform data analysis processing on at least one of the real-time status data, the key parameter of the frequency converter, or the fault information of the frequency converter to generate a visual analysis report.
In one embodiment, the analysis module 503 is configured to perform at least one of the following: performing weighted operation on the real-time state data, the key parameters of the frequency converter and the fault information of the frequency converter to determine key performance indexes of the frequency converter; performing numerical operation on the real-time state data to determine a common data analysis index of the frequency converter; counting fault information of the frequency converter to determine fault history analysis indexes of the frequency converter; determining a maintenance information overview index of the frequency converter based on the real-time state data and the key parameters of the frequency converter; determining a protection information overview index of the frequency converter based on the key parameter of the frequency converter; and determining the operation information overview index of the frequency converter based on the real-time state data.
The embodiment of the invention also provides a state monitoring device of the frequency converter with the processor-memory architecture. Fig. 6 is a block diagram of a state monitoring apparatus of a frequency converter having a processor-memory architecture according to an embodiment of the present invention.
As shown in fig. 6, the state monitoring apparatus 600 of the frequency converter includes a processor 601, a memory 602, and a computer program stored on the memory 602 and operable on the processor 601, wherein the computer program, when executed by the processor 501, implements the state monitoring method of the frequency converter as any of the above.
The memory 602 may be implemented as various storage media such as an Electrically Erasable Programmable Read Only Memory (EEPROM), a Flash memory (Flash memory), and a Programmable Read Only Memory (PROM). The processor 601 may be implemented to include one or more central processors or one or more field programmable gate arrays that integrate one or more central processor cores. In particular, the central processor or central processor core may be implemented as a CPU or MCU or DSP, etc.
It should be noted that not all steps and modules in the above flows and structures are necessary, and some steps or modules may be omitted according to actual needs. The execution order of the steps is not fixed and can be adjusted as required. The division of each module is only for convenience of describing adopted functional division, and in actual implementation, one module may be divided into multiple modules, and the functions of multiple modules may also be implemented by the same module, and these modules may be located in the same device or in different devices.
The hardware modules in the various embodiments may be implemented mechanically or electronically. For example, a hardware module may include a specially designed permanent circuit or logic device (e.g., a special purpose processor such as an FPGA or ASIC) for performing specific operations. A hardware module may also include programmable logic devices or circuits (e.g., including a general-purpose processor or other programmable processor) that are temporarily configured by software to perform certain operations. The implementation of the hardware module in a mechanical manner, or in a dedicated permanent circuit, or in a temporarily configured circuit (e.g., configured by software), may be determined based on cost and time considerations.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (14)

1. A method (200) for condition monitoring of a frequency converter, the method (200) being adapted for an edge computing device deployed at the frequency converter side, the method (200) comprising:
collecting frequency converter status information from a frequency converter connected to the edge computing device (201);
saving the state information of the frequency converter to a database file (202);
performing data analysis processing on the frequency converter state information acquired from the database file to generate a visual analysis report (203);
and displaying the visualized analysis report (204).
2. The method (200) of claim 1, wherein the collecting (201) transducer state information from a transducer connected to an edge computing device comprises at least one of:
collecting real-time status data of a single transducer from the single transducer connected to the edge computing device;
collecting real-time status data of each frequency converter from each of a plurality of frequency converters connected to the edge computing device;
collecting non-real-time status data of a single transducer from the single transducer connected to the edge computing device;
collecting, from each of a plurality of transducers coupled to the edge computing device, non-real-time status data for each transducer, respectively.
3. The method (200) of claim 2,
the real-time status data comprises at least one of:
the real-time rotating speed of a motor driven by the frequency converter; real-time current of a motor driven by the frequency converter; real-time voltage of a motor driven by the frequency converter; the direct current bus voltage of the frequency converter; the real-time temperature of the frequency converter;
the non-real-time status data comprises at least one of:
the frequency converter key parameters comprise the maximum allowable output current of the frequency converter, the maximum allowable output voltage of the frequency converter, the upper limit amplitude of the output frequency of the frequency converter, the lower limit amplitude of the output frequency of the frequency converter or the starting torque of the frequency converter; fault information of the frequency converter; a high frequency current signal of the frequency converter; and state data which is finally saved before the frequency converter fails.
4. The method (200) of claim 2, wherein the collecting frequency converter status information (201) from a frequency converter connected to the edge computing device comprises:
and when the preset acquisition time is reached, acquiring the non-real-time state data from a frequency converter connected with the edge computing equipment.
5. The method (200) of claim 3,
the collecting frequency converter state information (201) from a frequency converter connected with the edge computing device comprises: enabling a main thread to collect the real-time state data from the frequency converter in real time; enabling the main thread to activate a first auxiliary thread after judging that the preset acquisition time is reached; enabling the first auxiliary thread to collect key parameters of the frequency converter or fault information of the frequency converter from the frequency converter; enabling the first assist thread to activate a second assist thread;
the saving of the frequency converter state information to a database file (202) comprises: enabling the main thread to store the real-time state data into the database file; enabling the first auxiliary thread to store the key parameters of the frequency converter or the fault information of the frequency converter into the database file;
the performing data analysis processing (203) on the frequency converter state information acquired from the database file includes: enabling the second auxiliary thread to acquire at least one of the real-time state data, the key parameters of the frequency converter or the fault information of the frequency converter from the database file, and performing data analysis processing on the at least one of the real-time state data, the key parameters of the frequency converter or the fault information of the frequency converter to generate a visual analysis report.
6. The method (200) of claim 5, wherein the performing a data analysis process on the at least one of real-time status data, frequency converter key parameters, or frequency converter fault information comprises at least one of:
performing weighted operation on the real-time state data, the key parameters of the frequency converter and the fault information of the frequency converter to determine key performance indexes of the frequency converter;
performing numerical operation on the real-time state data to determine a common data analysis index of the frequency converter;
counting fault information of the frequency converter to determine fault history analysis indexes of the frequency converter;
determining a maintenance information overview index of the frequency converter based on the real-time state data and the key parameter of the frequency converter;
determining a protection information overview index of the frequency converter based on the key parameter of the frequency converter;
and determining an operation information overview index of the frequency converter based on the real-time state data.
7. A condition monitoring apparatus (500) of a frequency converter, the condition monitoring apparatus (500) being adapted to be deployed at an edge computing device at the side of the frequency converter, the condition monitoring apparatus (500) comprising:
an acquisition module (501) for acquiring frequency converter status information from a frequency converter connected to the edge computing device;
a storage module (502) for storing the state information of the frequency converter into a database file;
the analysis module (503) is used for performing data analysis processing on the frequency converter state information acquired from the database file to generate a visual analysis report;
and the display module (504) is used for displaying the visualized analysis report.
8. The apparatus (500) of claim 7,
the acquisition module (501) is configured to perform at least one of:
collecting real-time status data of a single transducer from the single transducer connected to the edge computing device;
collecting real-time status data of each frequency converter from each of a plurality of frequency converters connected to the edge computing device;
collecting non-real-time status data of a single transducer from the single transducer connected to the edge computing device;
collecting, from each of a plurality of transducers coupled to the edge computing device, non-real-time status data for each transducer, respectively.
9. The apparatus (500) of claim 8,
the real-time status data comprises at least one of:
the real-time rotating speed of a motor driven by the frequency converter; real-time current of a motor driven by the frequency converter; real-time voltage of a motor driven by the frequency converter; the direct current bus voltage of the frequency converter; the real-time temperature of the frequency converter;
the non-real-time status data comprises at least one of:
the frequency converter key parameters comprise the maximum allowable output current of the frequency converter, the maximum allowable output voltage of the frequency converter, the upper limit amplitude of the output frequency of the frequency converter, the lower limit amplitude of the output frequency of the frequency converter or the starting torque of the frequency converter; fault information of the frequency converter; a high frequency current signal of the frequency converter; and state data which is finally saved before the frequency converter fails.
10. The apparatus (500) of claim 8,
and the acquisition module (501) is used for acquiring the non-real-time state data from a frequency converter connected with the edge computing equipment after a preset acquisition time is reached.
11. The apparatus (500) of claim 9,
the acquisition module (501) is used for enabling a main thread to acquire the real-time state data from the frequency converter in real time; enabling the main thread to activate a first auxiliary thread after judging that the preset acquisition time is reached; enabling the first auxiliary thread to collect key parameters of the frequency converter or fault information of the frequency converter from the frequency converter; enabling the first assist thread to activate a second assist thread;
the saving module (502) is configured to enable the main thread to save the real-time status data into the database file; enabling the first auxiliary thread to store the key parameters of the frequency converter or the fault information of the frequency converter into the database file;
the analysis module (503) is configured to enable the second auxiliary thread to obtain at least one of the real-time status data, the key parameter of the frequency converter, or the fault information of the frequency converter from the database file, and perform data analysis processing on the at least one of the real-time status data, the key parameter of the frequency converter, or the fault information of the frequency converter to generate a visual analysis report.
12. The apparatus (500) of claim 11,
the analysis module (503) is configured to perform at least one of:
performing weighted operation on the real-time state data, the key parameters of the frequency converter and the fault information of the frequency converter to determine key performance indexes of the frequency converter;
performing numerical operation on the real-time state data to determine a common data analysis index of the frequency converter;
counting fault information of the frequency converter to determine fault history analysis indexes of the frequency converter;
determining a maintenance information overview index of the frequency converter based on the real-time state data and the key parameter of the frequency converter;
determining a protection information overview index of the frequency converter based on the key parameter of the frequency converter;
and determining an operation information overview index of the frequency converter based on the real-time state data.
13. A condition monitoring device (600) of a frequency converter, characterized by comprising a processor (601) and a memory (602);
the memory (602) has stored therein an application program executable by the processor (601) for causing the processor (601) to execute the method (200) of monitoring the condition of a frequency converter according to any of claims 1 to 6.
14. A computer-readable storage medium, characterized in that computer-readable instructions are stored therein for performing the method (200) of condition monitoring of a frequency converter according to any of claims 1 to 6.
CN202110990887.3A 2021-08-26 2021-08-26 State monitoring method and device of frequency converter and computer readable storage medium Pending CN113761303A (en)

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CN202110990887.3A CN113761303A (en) 2021-08-26 2021-08-26 State monitoring method and device of frequency converter and computer readable storage medium

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Application Number Priority Date Filing Date Title
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116961240A (en) * 2023-09-19 2023-10-27 深圳市蓝思航技术有限公司 Intelligent frequency converter monitoring system based on data analysis

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116961240A (en) * 2023-09-19 2023-10-27 深圳市蓝思航技术有限公司 Intelligent frequency converter monitoring system based on data analysis
CN116961240B (en) * 2023-09-19 2024-01-05 深圳市蓝思航技术有限公司 Intelligent frequency converter monitoring system based on data analysis

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