CN112072987A - Monitoring system of coating metallurgy production line motor based on Internet of things - Google Patents
Monitoring system of coating metallurgy production line motor based on Internet of things Download PDFInfo
- Publication number
- CN112072987A CN112072987A CN202010933526.0A CN202010933526A CN112072987A CN 112072987 A CN112072987 A CN 112072987A CN 202010933526 A CN202010933526 A CN 202010933526A CN 112072987 A CN112072987 A CN 112072987A
- Authority
- CN
- China
- Prior art keywords
- motor
- sensor
- production line
- monitoring system
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 43
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 42
- 239000011248 coating agent Substances 0.000 title claims abstract description 16
- 238000000576 coating method Methods 0.000 title claims abstract description 16
- 238000005272 metallurgy Methods 0.000 title claims abstract description 14
- 238000001514 detection method Methods 0.000 claims abstract description 7
- 230000006855 networking Effects 0.000 claims description 15
- 230000005540 biological transmission Effects 0.000 claims description 5
- 238000000034 method Methods 0.000 claims description 4
- 238000007405 data analysis Methods 0.000 claims description 3
- 230000035939 shock Effects 0.000 claims description 2
- 238000012937 correction Methods 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000001816 cooling Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000004804 winding Methods 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 239000010687 lubricating oil Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000005201 scrubbing Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P29/00—Arrangements for regulating or controlling electric motors, appropriate for both AC and DC motors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- 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
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/05—Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
- G05B19/058—Safety, monitoring
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/08—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for dynamo-electric motors
- H02H7/0822—Integrated protection, motor control centres
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/08—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for dynamo-electric motors
- H02H7/085—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for dynamo-electric motors against excessive load
- H02H7/0852—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for dynamo-electric motors against excessive load directly responsive to abnormal temperature by using a temperature sensor
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/08—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for dynamo-electric motors
- H02H7/09—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for dynamo-electric motors against over-voltage; against reduction of voltage; against phase interruption
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P29/00—Arrangements for regulating or controlling electric motors, appropriate for both AC and DC motors
- H02P29/02—Providing protection against overload without automatic interruption of supply
- H02P29/024—Detecting a fault condition, e.g. short circuit, locked rotor, open circuit or loss of load
- H02P29/0241—Detecting a fault condition, e.g. short circuit, locked rotor, open circuit or loss of load the fault being an overvoltage
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P29/00—Arrangements for regulating or controlling electric motors, appropriate for both AC and DC motors
- H02P29/02—Providing protection against overload without automatic interruption of supply
- H02P29/024—Detecting a fault condition, e.g. short circuit, locked rotor, open circuit or loss of load
- H02P29/027—Detecting a fault condition, e.g. short circuit, locked rotor, open circuit or loss of load the fault being an over-current
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P29/00—Arrangements for regulating or controlling electric motors, appropriate for both AC and DC motors
- H02P29/02—Providing protection against overload without automatic interruption of supply
- H02P29/024—Detecting a fault condition, e.g. short circuit, locked rotor, open circuit or loss of load
- H02P29/028—Detecting a fault condition, e.g. short circuit, locked rotor, open circuit or loss of load the motor continuing operation despite the fault condition, e.g. eliminating, compensating for or remedying the fault
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P29/00—Arrangements for regulating or controlling electric motors, appropriate for both AC and DC motors
- H02P29/02—Providing protection against overload without automatic interruption of supply
- H02P29/032—Preventing damage to the motor, e.g. setting individual current limits for different drive conditions
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P29/00—Arrangements for regulating or controlling electric motors, appropriate for both AC and DC motors
- H02P29/60—Controlling or determining the temperature of the motor or of the drive
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P5/00—Arrangements specially adapted for regulating or controlling the speed or torque of two or more electric motors
Abstract
The invention discloses a monitoring system of a coating metallurgy production line motor based on the Internet of things, which comprises a driving motor on a metallurgy production line. The intelligent motor monitoring system is characterized by further comprising an infrared temperature sensor for detecting the temperature of a motor shell, a vibration sensor for detecting the vibration of a motor bearing, a PT100 temperature sensor for detecting the internal temperature of the motor, a current sensor and a voltage sensor for detecting the power supply current and voltage of the motor, a master control PLC for collecting all data and controlling the motor according to a feedback execution scheme, an internet of things collection gateway for reading and writing the data on the master control PLC and sending motor detection data statistics into a motor monitoring platform server, and the motor monitoring platform server for analyzing the data, determining a threshold value, self-learning the machine, determining an alarm mode, immediately stopping the motor and other execution schemes. The invention directly connects the detection motor by means of Internet of things, obtains real-time monitoring data of the motor and timely obtains proper alarm and feedback threshold values.
Description
Technical Field
The invention relates to the technical field of monitoring systems, in particular to a monitoring system of a coating metallurgy production line motor based on the Internet of things.
Background
Since 1834 the invention of motors, motors became the main driving force in the mechanical industry, especially in the field of rotating machinery. Motors drive productivity from household appliances to nuclear power plants, from coffee machines to chemical plants, from daily life to light and heavy industries. The motor consumes more than 64 percent of the generated energy in China, and drives precise rotating mechanical equipment, and the equipment driven by the motor is highly digitalized or controlled by a highly precise computer. The number of electric machines worldwide is growing at 9.5% per year, with numerous numbers being installed on the production lines of the light and heavy industries, all over the aspects of the activity. The equipment or system driven by the motor is usually digitally monitored by a high-degree computer, however, the motor is still manufactured and used in a traditional mode, the running condition of the motor is rarely monitored, and for a motor manufacturer and a motor user, an effective data acquisition method is lacked for the actual working condition of the motor, so that after the motor breaks down, the fault cause can be judged only according to surface phenomena and experience (different from person to person), and a terminal client cannot perform preventive 'physical examination' on the motor.
Especially in the whole coating metallurgy process, the motor is not only a transmission device of the production line, but also has pump bodies of a scrubbing roller, a tensioning roller, a coating roller, a cooling fan, an oven fan, lubricating oil cooling machine water and the like for driving a steel plate, so that the motor of the whole production line plays an irreplaceable role. The metallurgical industry belongs to the flow industry, the whole production line is rapidly produced, a certain motor breaks down, the caused influence is not only that a single motor is replaced, but also the production stop of the whole production line is caused, and the loss is huge.
In the existing industrial scene, the PLC is the control main body most used in the industrial field and has the functions of position control, process control, production monitoring and the like. The control of industrial field motors is configured in a field first-level PLC, and the field industrial traditional data uploading mode is that the field industrial traditional data uploading mode is uploaded layer by layer from the first-level field PLC, a second-level SCADA, a third-level MES and a fourth-level ERP in a network cable mode. Data are uploaded in multiple layers, so that the delay of obtaining the data in industrial application is high, and the quantity is small. The industrial data obtaining process has large time delay and incomplete data. The motor has no early warning, and can cause greater economic loss when damaged.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a monitoring system of a coating metallurgy production line motor based on the Internet of things.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a monitoring system of a coating metallurgy production line motor based on the Internet of things comprises a driving motor on a metallurgy production line; the system also comprises an infrared temperature sensor for detecting the temperature of a motor shell, a vibration sensor for detecting the vibration of a motor bearing, a PT100 temperature sensor for detecting the internal temperature of the motor, a current sensor and a voltage sensor for detecting the power supply current and voltage of the motor, a master control PLC for acquiring all data and controlling the motor according to a feedback execution scheme, an Internet of things acquisition gateway for reading and writing the data on the master control PLC and sending motor detection data statistics to a motor monitoring platform server, and the motor monitoring platform server for executing the schemes such as data analysis, threshold determination, machine self-learning, alarm mode determination, motor immediate stop and the like; the input of master control PLC and thing networking collection gateway is connected with an analog quantity module respectively, infrared temperature sensor, shock transducer, PT100 temperature sensor, current sensor and voltage sensor's output passes through the wire and links to each other with the input of two analog quantity modules, master control PLC's output passes through the wire and links to each other with the control end of motor, master control PLC passes through the net twine and links to each other with thing networking collection gateway, thing networking collection gateway passes through the net twine and links to each other with motor monitoring platform server.
Furthermore, the infrared temperature sensor is connected to the outside of the motor.
Further, the vibration sensor is connected to the motor transmission bearing.
Further, the PT100 temperature sensor is buried inside the motor.
Further, the current sensor is threaded on a power line of the motor.
Furthermore, a matched resistor of the voltage sensor is connected in series with a power line of the motor.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in:
(1) the internet of things acquisition gateway can be rapidly and widely connected to various field industrial devices and can be adaptively connected to various motor data devices of a metallurgical production line, and the gateway is directly connected to a sensor, a motor controller and a master control PLC. (2) The motor monitoring platform server can manually set an alarm threshold value in the early stage, and can perform machine self-learning in the later stage according to a data result to obtain a learning threshold value result, and a proper alarm and feedback threshold value can be obtained through manual correction and machine self-correction. (3) The monitoring system of the invention, the server returns and controls, when the temperature of the motor is overhigh, the current voltage is overhigh and the motor has abnormal vibration, except an alarm and emergency stop mechanism, the speed of the motor can be controlled by PID, so as to realize the reduction of the production speed of the whole production line. (4) According to the monitoring system, the motors are managed by using a full life cycle, the whole life cycle from the entrance to the scrapping of the motors is recorded, and the personnel are reminded of that a certain motor possibly reaches the maintenance period through the automatic analysis of the historical data machine, so that the personnel are reminded of carrying out maintenance and inspection in advance, and the influence on the actual production due to sudden damage during the production period is prevented.
Drawings
FIG. 1 is a system diagram of the present invention; the temperature sensors in the figure comprise a PT100 temperature sensor and an infrared temperature sensor.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, the invention discloses a monitoring system of a coating metallurgy production line motor based on the internet of things, which comprises a driving motor on a metallurgy production line; the intelligent monitoring system also comprises an infrared temperature sensor for detecting the temperature of a motor shell, a vibration sensor for detecting the vibration of a motor bearing, a PT100 temperature sensor for detecting the internal temperature of the motor, a current sensor and a voltage sensor for detecting the power supply current and voltage of the motor, a master control PLC for acquiring all data and controlling the motor according to a feedback execution scheme, an Internet of things acquisition gateway for reading and writing data on the master control PLC and sending the current parameters and detection data statistics of the motor to a motor monitoring platform server, and the motor monitoring platform server for determining an alarm mode and immediately stopping the motor and other execution schemes through data analysis, threshold determination and machine self-learning; the input of master control PLC and thing networking collection gateway is connected with an analog quantity module respectively, infrared temperature sensor, the vibrations sensor, PT100 temperature sensor, current sensor and voltage sensor's output passes through the wire and links to each other with the input of two analog quantity modules, master control PLC's output passes through the wire and links to each other with the control end of motor, master control PLC passes through the net twine and links to each other with thing networking collection gateway, master control PLC passes through network protocol and thing networking collection gateway constitution communication, thing networking collection gateway passes through the net twine and links to each other with motor monitoring platform server.
The infrared temperature sensor is connected to the outside of the motor, the vibration sensor is connected to the transmission bearing of the motor, the PT100 temperature sensor is embedded in the motor, the current sensor is arranged on the power line of the motor in a penetrating mode, and the matched resistor of the voltage sensor is connected to the power line of the motor in series.
An infrared temperature sensor model RAYCITLTV-CN-CT200, which detects the motor temperature by using an infrared irradiation mode; the model of the vibration sensor is SDJ-301/302; the PT100 temperature sensor is CY-010; the model of the current sensor is HK-4I; the voltage sensor model is HVS 5-25A.
The internet of things acquisition gateway realizes the reading and writing of PLC data by adapting to application layer protocols of a plurality of brands of PLCs, and counts the existing parameters of the motor into a motor monitoring platform server. According to the invention, the detection motor is directly connected through the means of Internet of things to obtain real-time monitoring data of the motor, parameters of each sensor and the motor are transmitted to the platform through the Internet of things gateway, and then instructions adaptive to industrial return control requirements are calculated by utilizing platform computing power to match a PID differential integral algorithm, a machine learning algorithm and the like, and are transmitted to the motor execution end to give an alarm to the motor on site or directly stop in emergency. And the high-efficiency high-speed transmission capability of the Internet of things gateway ensures the real-time performance and reliability of industrial return control.
The internet of things acquisition gateway can be rapidly and widely connected to various field industrial devices and can be adaptively connected to various motor data devices of a metallurgical production line, and the gateway is directly connected to a sensor, a motor controller and a master control PLC.
The motor monitoring platform server can set an alarm threshold value manually in the early stage, and self-learn by a machine according to a data result in the later stage to obtain a learning threshold value result, and obtain a proper alarm and feedback threshold value by manual correction and self-correction of the machine; when the temperature of the motor is overhigh, the current and the voltage are overhigh, and the motor has abnormal vibration, the speed of the motor can be controlled by PID except an alarm and sudden stop mechanism, so that the production speed of the whole production line is reduced; the motor uses full life cycle management, collects to condemned whole life from the admission through the record motor, through historical data machine self-analysis, reminds personnel, and certain motor probably has arrived the maintenance phase, reminds personnel to overhaul the inspection in advance, prevents to cause the sudden damage during production, influences actual production.
The motor monitoring platform server sets an alarm threshold, the temperature threshold of an infrared sensor for detecting the temperature of a motor shell is 70 ℃, and the temperature threshold of a PT100 temperature sensor embedded in the motor is set to be 90 ℃. The voltage and current setting threshold is related to the power of the motor, is higher than the voltage and current of a motor nameplate by within 10 percent, and the vibration setting threshold is 0.5 mm. And adjusting the motor threshold parameter at the later stage according to data statistics and system self-learning.
When the temperature of a certain motor is close to the temperature threshold value of 10 ℃, the motor monitoring system coordinates the whole production line, reduces the line speed of the whole production line, and informs equipment teams and operators on duty to go to observe through modes such as short messages and mobile phone APP information push. (grading alarm is 1 grade)
When the temperature reaches or exceeds the set temperature threshold value by 10 ℃ and the temperature is not reduced to the temperature threshold value within 10S, the motor monitoring system coordinates the whole production line to carry out emergency stop. And informs the equipment team personnel and the plant level leaders. (grading alarm is 2-grade)
When the detection equipment detects that the motor is on fire, the equipment team personnel, the plant level leaders and the group level leaders are informed. (grading alarm is 3-grade)
The motor monitoring system can learn according to all the operation data of the production line, and if the motor of a certain model is recorded to have a fault at 80 ℃, the threshold values of other motors of the same model of the production line are changed. The motor monitoring system can provide a manual fine adjustment result according to the statistical data to obtain the motor running speed which accords with the factory running. The motor monitoring system can be communicated with operation management software such as MES and ERP of a factory, the whole line linear speed is intelligently adjusted under the condition of meeting the order production of the factory, the PID control of the motor is realized, and the flexible production of a coating metallurgy factory is realized.
The motor monitoring system records the full life cycle parameters of the motor of the production line and all parameters before the motor fails, such as the temperature rise condition of the motor in a short time, and analyzes the damage reason of the motor through parameters such as current, voltage, motor vibration and the like. (1) The load in the motor stator is increased due to the fact that the voltage is too high or too low, and the stator rotor winding is overheated; (2) the three-phase voltage is asymmetric or only one phase or two phases of electricity supply for three-phase electricity, and the fuse of the phase can be broken, so that the winding is overheated and damaged; (3) detecting that the current is too high, which may be that the load of the motor is too high or the motor is stuck; (4) detecting that the vibration at the bearing is too high, which may cause the motor to be eccentric and cause the motor fault damage; (5) when the motor is started, the current is too high, the platform detects the frequent starting condition of the motor, records the frequent starting condition and analyzes whether the motor is in failure caused by frequent starting.
It is to be understood that the above-described embodiments are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Claims (6)
1. A monitoring system of a coating metallurgy production line motor based on the Internet of things comprises a driving motor on a metallurgy production line; the method is characterized in that: the monitoring system also comprises an infrared temperature sensor for detecting the temperature of a motor shell, a vibration sensor for detecting the vibration of a motor bearing, a PT100 temperature sensor for detecting the internal temperature of the motor, a current sensor and a voltage sensor for detecting the power supply current and voltage of the motor, a master control PLC for acquiring all data and controlling the motor according to a feedback execution scheme, an Internet of things acquisition gateway for reading and writing the data on the master control PLC and sending motor detection data statistics to a motor monitoring platform server, and the motor monitoring platform server for determining an alarm mode and immediately stopping the motor and other execution schemes through data analysis, threshold determination and machine self-learning;
the input of master control PLC and thing networking collection gateway is connected with an analog quantity module respectively, infrared temperature sensor, shock transducer, PT100 temperature sensor, current sensor and voltage sensor's output passes through the wire and links to each other with the input of two analog quantity modules, master control PLC's output passes through the wire and links to each other with the control end of motor, master control PLC passes through the net twine and links to each other with thing networking collection gateway, thing networking collection gateway passes through the net twine and links to each other with motor monitoring platform server.
2. The monitoring system of metallurgical production line motor of coating class based on thing networking of claim 1, characterized in that: the infrared temperature sensor is connected to the outside of the motor.
3. The monitoring system of metallurgical production line motor of coating class based on thing networking of claim 1, characterized in that: the vibration sensor is connected to the motor transmission bearing.
4. The monitoring system of metallurgical production line motor of coating class based on thing networking of claim 1, characterized in that: the PT100 temperature sensor is embedded in the motor.
5. The monitoring system of metallurgical production line motor of coating class based on thing networking of claim 1, characterized in that: the current sensor is penetrated on a power line of the motor.
6. The monitoring system of metallurgical production line motor of coating class based on thing networking of claim 1, characterized in that: and a matched resistor of the voltage sensor is connected in series with a power line of the motor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010933526.0A CN112072987A (en) | 2020-09-08 | 2020-09-08 | Monitoring system of coating metallurgy production line motor based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010933526.0A CN112072987A (en) | 2020-09-08 | 2020-09-08 | Monitoring system of coating metallurgy production line motor based on Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112072987A true CN112072987A (en) | 2020-12-11 |
Family
ID=73664203
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010933526.0A Pending CN112072987A (en) | 2020-09-08 | 2020-09-08 | Monitoring system of coating metallurgy production line motor based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112072987A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112729815A (en) * | 2020-12-21 | 2021-04-30 | 云南迦南飞奇科技有限公司 | Wireless network-based online fault big data early warning method for health condition of transmission line |
| CN114859021A (en) * | 2022-05-13 | 2022-08-05 | 江苏徐工工程机械研究院有限公司 | Calibration method and device for lubricating oil pollution degree sensor |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103197613A (en) * | 2012-01-09 | 2013-07-10 | 中国科学院沈阳自动化研究所 | Photovoltaic power station monitoring system based on industrial wireless network |
| CN105275858A (en) * | 2015-11-24 | 2016-01-27 | 浙江金盾风机股份有限公司 | Internet of things intelligent fan system |
| CN107153410A (en) * | 2017-07-12 | 2017-09-12 | 上海云统创申智能科技有限公司 | A kind of intelligent sandstone aggregate production line |
| CN206790529U (en) * | 2017-05-10 | 2017-12-22 | 郑州市物联网产业技术创新研究院有限公司 | A kind of network monitoring system for things |
| CN109683573A (en) * | 2019-01-08 | 2019-04-26 | 四川省自贡运输机械集团股份有限公司 | Belt conveyor remote failure monitoring and fault diagnosis system based on technology of Internet of things |
| CN109765484A (en) * | 2018-10-25 | 2019-05-17 | 青岛鹏海软件有限公司 | Motor on-line monitoring and fault diagonosing method based on " correct tree " model |
| CN209400908U (en) * | 2019-03-25 | 2019-09-17 | 武汉科技大学 | Fault Diagnosis of Fan and control system based on PLC and intelligent gateway |
| CN110415494A (en) * | 2019-07-25 | 2019-11-05 | 西安因联信息科技有限公司 | A kind of equipment alarm threshold value calculation method based on history data |
| CN209692794U (en) * | 2019-05-10 | 2019-11-26 | 深圳市讯鹏科技有限公司 | A kind of industrial intelligent gateway of internet of things |
| CN211015886U (en) * | 2020-03-28 | 2020-07-14 | 湖南湘钢工程技术有限公司 | Temperature measuring device based on ZigBee wireless network |
| CN111525694A (en) * | 2020-05-08 | 2020-08-11 | 广东电网有限责任公司惠州供电局 | Intelligent switch cabinet marking device and system based on Internet of things |
| CN111523710A (en) * | 2020-04-10 | 2020-08-11 | 三峡大学 | Power equipment temperature prediction method based on PSO-LSSVM online learning |
-
2020
- 2020-09-08 CN CN202010933526.0A patent/CN112072987A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103197613A (en) * | 2012-01-09 | 2013-07-10 | 中国科学院沈阳自动化研究所 | Photovoltaic power station monitoring system based on industrial wireless network |
| CN105275858A (en) * | 2015-11-24 | 2016-01-27 | 浙江金盾风机股份有限公司 | Internet of things intelligent fan system |
| CN206790529U (en) * | 2017-05-10 | 2017-12-22 | 郑州市物联网产业技术创新研究院有限公司 | A kind of network monitoring system for things |
| CN107153410A (en) * | 2017-07-12 | 2017-09-12 | 上海云统创申智能科技有限公司 | A kind of intelligent sandstone aggregate production line |
| CN109765484A (en) * | 2018-10-25 | 2019-05-17 | 青岛鹏海软件有限公司 | Motor on-line monitoring and fault diagonosing method based on " correct tree " model |
| CN109683573A (en) * | 2019-01-08 | 2019-04-26 | 四川省自贡运输机械集团股份有限公司 | Belt conveyor remote failure monitoring and fault diagnosis system based on technology of Internet of things |
| CN209400908U (en) * | 2019-03-25 | 2019-09-17 | 武汉科技大学 | Fault Diagnosis of Fan and control system based on PLC and intelligent gateway |
| CN209692794U (en) * | 2019-05-10 | 2019-11-26 | 深圳市讯鹏科技有限公司 | A kind of industrial intelligent gateway of internet of things |
| CN110415494A (en) * | 2019-07-25 | 2019-11-05 | 西安因联信息科技有限公司 | A kind of equipment alarm threshold value calculation method based on history data |
| CN211015886U (en) * | 2020-03-28 | 2020-07-14 | 湖南湘钢工程技术有限公司 | Temperature measuring device based on ZigBee wireless network |
| CN111523710A (en) * | 2020-04-10 | 2020-08-11 | 三峡大学 | Power equipment temperature prediction method based on PSO-LSSVM online learning |
| CN111525694A (en) * | 2020-05-08 | 2020-08-11 | 广东电网有限责任公司惠州供电局 | Intelligent switch cabinet marking device and system based on Internet of things |
Non-Patent Citations (2)
| Title |
|---|
| 何珍: "面向智能物料输送系统的感知互联互通技术研究与实现", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》, no. 2, pages 78 - 79 * |
| 曲慎扬: "《智能制造31例》", 石油工业出版社, pages: 185 - 151 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112729815A (en) * | 2020-12-21 | 2021-04-30 | 云南迦南飞奇科技有限公司 | Wireless network-based online fault big data early warning method for health condition of transmission line |
| CN114859021A (en) * | 2022-05-13 | 2022-08-05 | 江苏徐工工程机械研究院有限公司 | Calibration method and device for lubricating oil pollution degree sensor |
| CN114859021B (en) * | 2022-05-13 | 2023-10-03 | 江苏徐工工程机械研究院有限公司 | Calibration method and device for lubricating oil pollution degree sensor |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112072987A (en) | Monitoring system of coating metallurgy production line motor based on Internet of things | |
| CN212643100U (en) | Water pump state overhauls management system | |
| CN203502787U (en) | Remote wireless fault diagnosis device of metal band sawing machine | |
| CN101493679A (en) | Wind generating set remote monitoring system and method thereof | |
| CN202870263U (en) | Motor management device with online energy efficiency monitoring function | |
| CN106545490A (en) | A kind of vacuum pump energy-saving monitoring system and method | |
| CN113657693B (en) | Predictive maintenance system and method for intelligent manufacturing equipment | |
| US20200025177A1 (en) | System and method for utilizing wear debris sensor to reduce damage and extend remaining useful life of gearboxes | |
| CN210719398U (en) | Remote online monitoring device for motor vibration | |
| CN116044802B (en) | State fault monitoring and diagnosing system for mine ventilator | |
| CN112483334B (en) | Intelligent control method of wind turbine generator set based on edge calculation | |
| CN117119783A (en) | Control method for standby power consumption of module | |
| CN108958206A (en) | A kind of equipment running status intelligent measurement platform | |
| CN102680896A (en) | Motor management device with online energy efficiency monitoring function and monitoring method thereof | |
| CN111242329A (en) | Port crane transmission part big data monitoring system and monitoring method | |
| EP3425199B1 (en) | Data collection system and method for wind turbine power generation facility, and wind turbine power generation facility | |
| CN214366547U (en) | Edge processing device for intelligent control of wind generating set | |
| EP3796016A1 (en) | System and method for detecting battery faults in a pitch system of a wind turbine | |
| EP3985249A1 (en) | Fatigue loads in wind turbines and use of operational metadata | |
| CN115014120A (en) | Method for controlling cooling tower in assembled energy station | |
| CN204961176U (en) | Aerogenerator operating condition monitoring system | |
| US20230030681A1 (en) | System and method for detecting anomalies in wind turbine control signals | |
| Kuseyri | Condition monitoring of wind turbines: Challenges and opportunities | |
| CN212901557U (en) | Control device of scraper slag conveyor | |
| CN105275632A (en) | Unattended control system for oil rig power pack |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |