CN109613908A - A kind of intelligent electric machine system with cloud big data platform - Google Patents
A kind of intelligent electric machine system with cloud big data platform Download PDFInfo
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- CN109613908A CN109613908A CN201811403337.1A CN201811403337A CN109613908A CN 109613908 A CN109613908 A CN 109613908A CN 201811403337 A CN201811403337 A CN 201811403337A CN 109613908 A CN109613908 A CN 109613908A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0262—Confirmation of fault detection, e.g. extra checks to confirm that a failure has indeed occurred
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
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Abstract
The present invention provides a kind of intelligent electric machine systems with cloud big data platform, belong to technical field of motors.This intelligent electric machine system includes: intelligent acquisition module, acquires motor items operating parameter；Internet of Things transmission module transmits every operating parameter；Database module saves and backs up every operating parameter, and issues big data analysis module and cloud big data platform；Big data analysis module is analyzed and processed with diagnosing motor operating status every operating parameter；Intelligent decision module optimizes motor operating state according to diagnostic result, motor operating condition and site environment information, and instructs to motor output optimal control；Cloud big data platform meets the mechanism model of motor practical operation situation, according to the variation of every operating parameter of the real time execution process of motor including that can construct, and dynamic adjusting machine manages the machine learning module of the relevant parameter of model；APP module reflects motor operation operating condition to user.
Description
Technical field
The invention belongs to technical field of motors, it is related to a kind of control system, it is especially a kind of with cloud big data platform
Intelligent electric machine system.
Background technique
In large-scale operating condition enterprise, motor utilization rate highest, and its monitoring and fault diagnosis form a set of mature body not yet
System, the functions such as the state acquisition of motor and fault diagnosis also rest on the customization alarm analysis mode that equipment manufacturer singly covers system.
The integrated system that existing large size water conservancy and hydropower and operating condition enterprise are all a highly integrated, the monitoring of individual equipment, single data dimension
Diagnosis, is no longer satisfied the demand of intelligent chemical industry.It therefore, is the intelligence with big data platform by conventional motors upgrading
Energy motor has become inexorable trend.
Especially currently with the development and application of the emerging technologies such as Internet of Things, cloud database, big data, electromechanical equipment
Intelligent level increasingly improves, and the real-time acquisition and storage of intelligent electric machine running state data can be achieved.Internet of Things skill
To realize that intelligent motor control provides hardware foundation, the development of the advanced technologies such as big data and cloud computing is to realize for the development of art
The optimized control of motor provides Software Support.The industrial environments intelligent level such as motor increasingly improves, mass data acquisition,
Communication, storage, calculating are achieved.How to greatest extent using the historical data of intelligent electric machine operation, motor operation is realized
State monitors entirely, realizes motor operating state intelligent analysis, realizes motor operational module intelligent analysis, it is necessary to by big
Data technique.
Currently, most of large size operating condition enterprises are to provide equipment operation stability, it is mounted with some equipment monitoring systems, but
Most of is all independently operated subsystems, can not achieve resource-sharing, does not also reach the mesh of motor intelligent control
Mark.
Summary of the invention
The purpose of the present invention is there is the above problem in view of the prior art, propose a kind of with cloud big data platform
Intelligent electric machine system, the technical problem to be solved is that the intelligentized control methods for how realizing motor for the system.
Object of the invention can be realized by the following technical scheme: a kind of intelligent electric machine system with cloud big data platform
System characterized by comprising
Intelligent acquisition module, every operating parameter for motor in real time；
Internet of Things transmission module, for transmitting every operating parameter of acquisition；
Database module carries out backup preservation for every operating parameter to motor, and for joining items operation
Number is distributed to big data analysis module and cloud big data platform；
Big data analysis module, for reading every operating parameter of motor and being analyzed and processed with the operation to motor
State is diagnosed；
Intelligent decision module, according to the diagnostic result of the operating status of motor, the operating condition of motor and site environment information pair
Motor operating state optimizes, and instructs to motor output optimal control；
Cloud big data platform, including modelling by mechanism module and machine learning module, the modelling by mechanism module are used for basis
Operating structure mechanism and the control mechanism building of motor meet the mechanism model of motor practical operation situation；The machine learning mould
Block is used for the variation of every operating parameter of the real time execution process according to motor, and dynamic adjusting machine manages the relevant parameter of model,
Mechanism model is set to adapt to the data deviation in motor operation course automatically；
APP module for obtaining every operating parameter, the display operating status of motor by input instruction, while also being used
The operation of motor is adjusted, controlled in input instruction.
In a kind of above-mentioned intelligent electric machine system with cloud big data platform, the intelligent acquisition module includes voltage
Sensor, current sensor, temperature sensor, vibrating sensor and Intellisense box, the voltage sensor and current sense
Device is placed in inside motor, and temperature sensor and vibrating sensor are placed in Intellisense box, and the Intellisense box is for being arranged
On motor housing, the Intellisense box is communicated by the Internet of Things transmission module and the database module；It is described each
The Oscillation Amplitude of voltage, electric current, the temperature on motor surface and motor when item operating parameter includes motor operation.
In a kind of above-mentioned intelligent electric machine system with cloud big data platform, the big data analysis module is utilized
Hadoop big data technology is analyzed and processed every operating parameter of motor, and the Hadoop big data technology includes by dividing
The Hadoop system frame that cloth file system HDFS and Computational frame MapReduce is constituted, the distributed file system
HDFS is used to every operating parameter of motor inputting Hadoop system frame, carries out distributed storage reading, Computational frame
MapReduce is analyzed one by one for every operating parameter to be divided into multiple fritters, finally again converges the data extracted
Motor items operating parameter feature is extracted in bulk analysis, and carry out data mining, using every operating parameter big data of motor,
Fault data and fault signature are extracted on the basis of based on whole historical state datas, and normal with motor in database module
Data characteristics when operation is compared to obtain the diagnostic result of motor status.
In a kind of above-mentioned intelligent electric machine system with cloud big data platform, the Computational frame MapReduce is also
It is calculated two caused by power input to machine, output power, efficiency, and consumption electric energy for voltage, the electric current according to motor
The performance parameters such as carbon emission amount, standard coal usage amount are aoxidized, motor performance is assessed.
In a kind of above-mentioned intelligent electric machine system with cloud big data platform, the motor operating condition and site environment letter
Breath includes motor load type, job specification, operating time, operating ambient temperature, humidity information.
In a kind of above-mentioned intelligent electric machine system with cloud big data platform, the intelligent decision module transports motor
It includes: amount of work needed for analysis motor actual motion amount of work and motor load, operating condition that row state, which optimizes, most by energy
Excellent control theory carries out problem description and establishes system governing equation, establishes original state x0, designated state xf, control constraints and property
Energy index keeps the electricity consumed in state migration procedure minimum, acquires optimal control law, optimize motor workflow, reduces
Unnecessary motor idle work.
In a kind of above-mentioned intelligent electric machine system with cloud big data platform, the cloud big data platform is also used to make
For the carrier of Internet of Things transmission module, database module, big data analysis module, intelligent decision module and APP module, electricity is realized
The data management of machine, big data analysis, intelligent decision, visualization function.
In a kind of above-mentioned intelligent electric machine system with cloud big data platform, the APP module includes cover motor
The service operation unit of design, production, management, service, and cover equipment health control, supply chain management, energy optimization etc.
The application innovation unit of function.
In a kind of above-mentioned intelligent electric machine system with cloud big data platform, the Internet of Things transmission module is set to
The Intellisense box, the Internet of Things transmission module includes communication network card and transmitting antenna, using the GPRS data communication technology
Realize data transmission.
In a kind of above-mentioned intelligent electric machine system with cloud big data platform, the Internet of Things transmission module is also provided
RS-232/485 serial ports, Ethernet interface, USB peripheral port and USB communication interface are as external interface option.
Compared with prior art, the intelligent electric machine system with cloud big data platform of technical solution of the present invention has following
Advantage: 1, can effectively obtain every operating parameter of motor in real time, at the same store backup formed database be used as with reference to
And analysis foundation, data are complete；2, intellectual analysis motor operating state, and effective prioritization scheme is provided, be conducive to improve motor
Run efficient stable；3, by APP module Real-time Feedback, it is able to use family timely learning motor operation operating condition；4, data pipe
Reason, big data analysis, intelligent decision, visualization function more comprehensively, efficiently, effectively improve motor operation intelligence degree.
Detailed description of the invention
Fig. 1 is systematic schematic diagram of the embodiment of the present invention.
Fig. 2 is the functional schematic of APP module of the embodiment of the present invention.
Fig. 3 is cloud big data platform functional schematic of the embodiment of the present invention.
Specific embodiment
Following is a specific embodiment of the present invention in conjunction with the accompanying drawings, technical scheme of the present invention will be further described,
However, the present invention is not limited to these examples.
As shown in Figure 1, the present invention provides a kind of intelligent electric machine with cloud big data platform, it to be used for hydraulic engineering, steel
The large size operating conditions such as metallurgy carry out intelligentized updating transformation to conventional motors, including intelligent acquisition module, Internet of Things transmit mould
Block, database module, big data analysis module, intelligent decision module, cloud big data platform and APP module.
Specifically, intelligent acquisition module, every operating parameter for motor in real time.Intelligent acquisition module includes
Voltage sensor, current sensor, temperature sensor, vibrating sensor and Intellisense box, voltage sensor and current sense
Device is placed in inside motor, and temperature sensor and vibrating sensor are placed in Intellisense box, and Intellisense box is for being arranged in electricity
On machine shell, Intellisense box is communicated by Internet of Things transmission module and database module；Every operating parameter includes motor fortune
Voltage, electric current, the temperature on motor surface and the Oscillation Amplitude of motor when row.In actual application, if any specific demand
Respective sensor can be increased.Intellisense box includes 8 circuit-switched data channels, data collector, data transmission module, Intellisense box
It is powered by external power supply 24V, the sensor output signal of 4-20mA can be received, it is flat to cloud big data by data transmission module
Platform 7 sends data, realizes the purpose to intelligent electric machine real-time monitoring.
Internet of Things transmission module, for carrying out every operating parameter of acquisition to be transmitted to database module；Database mould
Block carries out backup preservation for every operating parameter to motor, and for every operating parameter to be distributed to big data point
Analyse module and cloud big data platform.Internet of Things transmission module is set in Intellisense box, include communication network card and transmitting antenna,
Data transmission is realized using the GPRS data communication technology, while RS-232/485 serial ports, Ethernet interface, USB peripheral being also provided
Port and USB communication interface are as external interface option.GPRS data communication has fast transmission speed, safety and stability, covering model
The advantages such as wide, rate are low are enclosed, can be with 24 hours round-the-clock real-time Data Transmissions, data, which are transmitted to database module, can realize motor
The full backup of all historical operating parameters saves, and facilitates the inquiry and statistics for realizing data, provides other module analysis motor fortune
Motor status information required for row performance；
Big data analysis module, for reading every operating parameter of motor and being analyzed and processed with the operation to motor
State is diagnosed；Big data analysis module is connected to database module, using Hadoop big data technology to the items of motor
Operating parameter is analyzed and processed, and Hadoop big data technology includes by distributed file system HDFS and Computational frame
The Hadoop system frame that MapReduce is constituted, distributed file system HDFS are used to input every operating parameter of motor
Hadoop system frame, carries out distributed storage reading, and distributed file system HDFS addresses speed compared with traditional file systems hard disk
Degree faster, can store the big file of T rank or more, be very suitable to all parameters storage of motor Life cycle.Calculation block
Frame MapReduce is analyzed one by one for every operating parameter to be divided into multiple fritters, the data that will finally extract again
Macro or mass analysis passes through classification, estimation, prediction, correlation grouping or correlation rule, cluster, description and visualization, complex data class
The methods of type excavation carries out data mining, extracts motor items operating parameter feature, while utilizing the big number of voltage, electric current of motor
Dioxy caused by power input to machine, output power, efficiency, and consumption electric energy is calculated according to by formula (1), (2), (3)
Change the performance parameters such as carbon emission amount, standard coal usage amount, assesses motor performance.Specific formula is as follows:
(1) power input to machine:
(2) output power of motor:
(3) electric efficiency is equal to the ratio between output power and input power:
Abbreviation can obtain:
In above formula: P1For power input to machine, P2For output power of motor, U is motor line voltage, and I is electric machine phase current,For motor power factor, T is motor output torque, and n is motor speed, and η is electric efficiency, kTFor torque coefficient.
All variable units are standard unit: kW, V, A, Nm, r/min.
Using the voltage of motor 1, electric current, temperature, vibration big data, mentioned on the basis of based on whole historical state datas
Data characteristics when taking fault data and fault signature, and operating normally with motor in database module is compared to obtain motor
The diagnostic result of state.In addition, Computational frame MapReduce is also used to the voltage according to motor, electric current calculates motor input
The performance parameters such as CO2 emissions, standard coal usage amount caused by power, output power, efficiency, and consumption electric energy, are commented
Estimate motor performance.
Intelligent decision module, the motor big data analysis data and data characteristics obtained by above-mentioned module, in conjunction with electricity
The information such as machine operating condition, site environment optimize motor operation according to motor status diagnostic message by energetic optimum control theory
State.Above-mentioned motor operating condition and site environment information include motor load type, job specification, operating time, working environment temperature
The information such as degree, humidity need data input cloud big data platform manually.
Above-mentioned energetic optimum control theory is a Main Branches of modern control theory, focuses on that research makes control system
Performance indicator realize that the primary condition optimized and integrated approach, above-mentioned optimization motor operation course Main Analysis motor are practical
Amount of work needed for running amount of work and motor load, motor operating condition, by energetic optimum control theory according to the actual situation to electricity
Machine system carries out problem description and establishes electric system governing equation, establishes electric system original state x0, designated state xf, control
Beam and performance indicator are restricted, keeps the electricity consumed in state migration procedure minimum, acquires optimal control law, optimization motor work
Process reduces unnecessary motor idle work, gives the user energy consumption of electrical machinery minimum operation suggestion report by APP module, excellent
Change motor operating state.
Cloud big data platform, including based on the modelling by mechanism module and machine learning module built for the purpose of application and development.
Modelling by mechanism module is used to meet according to the building of the operating structure mechanism and control mechanism of motor the machine of motor practical operation situation
Model is managed, provides basis for subsequent analysis；Machine learning module is used for every operation ginseng of the real time execution process according to motor
Several variations, dynamic adjusting machine manage the relevant parameter of model, and mechanism model is made to adapt to motor operation course automatically due to environment, negative
It carries, operating condition changes bring data deviation；In addition, cloud big data platform is also used to as Internet of Things transmission module, database mould
The carrier of block, big data analysis module, intelligent decision module and APP module, realize the data management of motor, big data analysis,
Intelligent decision, visualization function.Cloud big data platform further includes application and development module and service Component Gallery, application and development module master
It to be built for big data platform and developing instrument and service framework is provided, the information of user and platform are realized by client end interface
Interactive function, serviced component library module include knowledge component, algorithm assembly, model component, and said modules cover all satisfactions
The support information of customer requirement function is the knowledge base of entire data platform, provides Knowledge Base for the realization of each function.
APP module for obtaining every operating parameter, the display operating status of motor by input instruction, while also being used
The operation of motor is adjusted, controlled in input instruction.For the purpose of APP module is by being based on service operation, application innovation, design packet
Include cover motor design, production, management, service service operation unit, and cover equipment health control, supply chain management,
The application innovation unit of the functions such as energy optimization.It is fed back in real time to user by APP module, is able to use family timely learning
Motor operation operating condition.
The intelligent electric machine system with cloud big data platform through the invention utilizes Internet of Things on the basis of conventional motors
Net and big data technology realize conduct monitoring at all levels, analysis and decision to motor operating state, effectively increase motor intelligent water
It is flat.
Specific embodiment described herein is only an example for the spirit of the invention.The neck of technology belonging to the present invention
The technical staff in domain can make various modifications or additions to the described embodiments or replace by a similar method
In generation, however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.
Claims (10)
1. a kind of intelligent electric machine system with cloud big data platform characterized by comprising
Intelligent acquisition module, every operating parameter for motor in real time；
Internet of Things transmission module, for transmitting every operating parameter of acquisition；
Database module carries out backup preservation for every operating parameter to motor, and for dividing every operating parameter
Issue big data analysis module and cloud big data platform；
Big data analysis module, for reading every operating parameter of motor and being analyzed and processed with the operating status to motor
It is diagnosed；
Intelligent decision module, according to the diagnostic result of the operating status of motor, the operating condition of motor and site environment information to motor
Operating status optimizes, and instructs to motor output optimal control；
Cloud big data platform, including modelling by mechanism module and machine learning module, the modelling by mechanism module are used for according to motor
Operating structure mechanism and control mechanism building meet the mechanism model of motor practical operation situation；The machine learning module is used
In the variation according to every operating parameter of the real time execution process of motor, dynamic adjusting machine manages the relevant parameter of model, makes machine
Reason model adapts to the data deviation in motor operation course automatically；
APP module for obtaining every operating parameter, the display operating status of motor by input instruction, while being also used to defeated
Enter instruction to adjust, control the operation of motor.
2. a kind of intelligent electric machine system with cloud big data platform according to claim 1, which is characterized in that the intelligence
Energy acquisition module includes voltage sensor, current sensor, temperature sensor, vibrating sensor and Intellisense box, the electricity
Pressure sensor and current sensor are placed in inside motor, and temperature sensor and vibrating sensor are placed in Intellisense box, described
For Intellisense box for being arranged in motor housing, the Intellisense box passes through the Internet of Things transmission module and the data
Library module communication；The vibration of voltage, electric current, the temperature on motor surface and motor when the items operating parameter includes motor operation
Dynamic amplitude.
3. a kind of intelligent electric machine system with cloud big data platform according to claim 1 or 2, which is characterized in that institute
Big data analysis module is stated to be analyzed and processed using every operating parameter of the Hadoop big data technology to motor, it is described
Hadoop big data technology includes the Hadoop system frame being made of distributed file system HDFS and Computational frame MapReduce
Frame, the distributed file system HDFS are used to every operating parameter of motor inputting Hadoop system frame, be distributed
Formula storage is read, and Computational frame MapReduce is analyzed one by one for every operating parameter to be divided into multiple fritters, finally again
The data summarization extracted is analyzed, and carries out data mining, motor items operating parameter feature is extracted, utilizes each of motor
Operating parameter big data, extracts fault data and fault signature on the basis of based on whole historical state datas, and with number
Data characteristics when operating normally according to motor in library module is compared to obtain the diagnostic result of motor status.
4. a kind of intelligent electric machine system with cloud big data platform according to claim 3, which is characterized in that the meter
Frame MapReduce is also used to the voltage according to motor, electric current calculates power input to machine, output power, efficiency for calculation, and
The performance parameters such as CO2 emissions, standard coal usage amount caused by electric energy are consumed, motor performance is assessed.
5. a kind of intelligent electric machine system with cloud big data platform according to claim 1 or 2, which is characterized in that institute
It states motor operating condition and site environment information includes motor load type, job specification, operating time, operating ambient temperature, humidity
Information.
6. a kind of intelligent electric machine system with cloud big data platform according to claim 4, which is characterized in that the intelligence
It includes: analysis motor actual motion amount of work and motor load, operating condition institute that energy decision-making module, which optimizes motor operating state,
Amount of work is needed, problem description is carried out by energetic optimum control theory and establishes system governing equation, establishes original state x0, it is specified
State xf, control constraints and performance indicator, keep the electricity consumed in state migration procedure minimum, acquire optimal control law, it is excellent
Change motor workflow, reduces unnecessary motor idle work.
7. a kind of intelligent electric machine system with cloud big data platform according to claim 1 or 2, which is characterized in that institute
Cloud big data platform is stated to be also used to as Internet of Things transmission module, database module, big data analysis module, intelligent decision module
With the carrier of APP module, data management, the big data analysis, intelligent decision, visualization function of motor are realized.
8. a kind of intelligent electric machine system with cloud big data platform according to claim 1 or 2, which is characterized in that institute
State APP module include cover motor design, production, management, service service operation unit, and cover equipment health control,
The application innovation unit of the functions such as supply chain management, energy optimization.
9. a kind of intelligent electric machine system with cloud big data platform according to claim 2, which is characterized in that the object
Networking transport module is set in the Intellisense box, and the Internet of Things transmission module includes communication network card and transmitting antenna,
Data transmission is realized using the GPRS data communication technology.
10. a kind of intelligent electric machine system with cloud big data platform according to claim 9, which is characterized in that described
Internet of Things transmission module also provides RS-232/485 serial ports, Ethernet interface, USB peripheral port and USB communication interface as outer
Portion's interface option.
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| CN110299874A (en) * | 2019-07-19 | 2019-10-01 | 河北工业大学 | A kind of Intelligent Control System for Switched Reluctance Motor based on WIFI |
| CN110299874B (en) * | 2019-07-19 | 2021-05-18 | 河北工业大学 | WIFI-based intelligent control system for switched reluctance motor |
| CN110850718A (en) * | 2019-11-22 | 2020-02-28 | 无锡多纬智控科技有限公司 | Small data control system |
| CN112882442A (en) * | 2019-11-29 | 2021-06-01 | 内蒙古伊利实业集团股份有限公司 | Production monitoring device and method based on OMAC standard |
| CN111126825A (en) * | 2019-12-19 | 2020-05-08 | 广东维可特科技有限公司 | Intelligent charge-discharge energy-saving management system for visual battery and control method thereof |
| CN111126825B (en) * | 2019-12-19 | 2024-04-26 | 广东维可特科技有限公司 | Intelligent charge-discharge energy-saving management system for visual battery and control method thereof |
| CN111638056A (en) * | 2020-05-07 | 2020-09-08 | 张家港市欣达丰机电制造有限公司 | Comprehensive characteristic test system for micromotor |
| CN112859769B (en) * | 2020-12-31 | 2022-09-06 | 广东工业大学 | Energy consumption monitoring device in intelligent production equipment and operation method thereof |
| CN112859769A (en) * | 2020-12-31 | 2021-05-28 | 广东工业大学 | Energy consumption monitoring device in intelligent production equipment and operation method thereof |
| CN114782026A (en) * | 2022-06-17 | 2022-07-22 | 北京乐开科技有限责任公司 | Configuration method and system based on workflow and IOT (input/output) middleware fusion |
| CN114782026B (en) * | 2022-06-17 | 2022-09-20 | 北京乐开科技有限责任公司 | Configuration method and system based on workflow and IOT (input/output) middleware fusion |
| CN114996979A (en) * | 2022-08-05 | 2022-09-02 | 深圳市信润富联数字科技有限公司 | Method and system for managing carbon-capable data, electronic device and storage medium |
| CN114996979B (en) * | 2022-08-05 | 2022-12-09 | 深圳市信润富联数字科技有限公司 | Method and system for managing carbon-capable data, electronic device and storage medium |
| CN117232564A (en) * | 2023-11-15 | 2023-12-15 | 长春市星途科技有限公司 | Cloud computing-based drive motor grating encoder real-time diagnosis and calibration system |
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