CN111123096A - Internet of things motor monitoring platform - Google Patents
Internet of things motor monitoring platform Download PDFInfo
- Publication number
- CN111123096A CN111123096A CN201910979406.1A CN201910979406A CN111123096A CN 111123096 A CN111123096 A CN 111123096A CN 201910979406 A CN201910979406 A CN 201910979406A CN 111123096 A CN111123096 A CN 111123096A
- Authority
- CN
- China
- Prior art keywords
- module
- management
- equipment
- motor
- cloud platform
- 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
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
-
- 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
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
Abstract
The invention discloses an Internet of things motor monitoring platform, which comprises an application cloud platform, a terminal information acquisition module, a central processing unit and a communication module, wherein the application cloud platform is connected with the terminal information acquisition module through the communication module; the application cloud platform comprises a basic management module, an equipment setting module, an equipment data expression module, an early warning module and mobile application software; the information acquisition module comprises a vibration sensor, an audio sensor, a temperature sensor, a voltage sensor and a current sensor; the information acquisition module is electrically connected with the central processing unit; the central processing unit is electrically connected with the communication module, and the communication module transmits data to the central processing unit by the application cloud platform. Aiming at the use of the motor and the production condition of manufacturers, different data acquisition methods are set, so that the motor which is newly produced, is used and is even used for a long time can be effectively managed.
Description
Technical Field
The invention relates to the field of monitoring equipment, in particular to an Internet of things motor monitoring platform.
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. In order to ensure normal operation of the equipment, a terminal client usually adopts a regular maintenance method. The electric machine factory has no knowledge about the use and operation conditions of the electric machine. If the data are obtained by a motor manufacturer in real time, the motor can be detected, early warning is carried out to avoid faults or shutdown events, and better maintenance service is provided for end users.
Disclosure of Invention
The Internet of things motor platform has the core point that voltage and current of a motor bearing are monitored in multiple dimensions, and about 80% of motor faults are caused by bearing faults, so that the motor bearing monitoring is realized by rapidly, simply and effectively acquiring data, the motors are classified according to different application scenes, a data model is built by accumulating the operation condition acquisition information of the same motor in the same scene, the analysis of new acquisition information by taking data accumulation modeling as reference is realized, and the effective prediction and supervision of the motor are realized. The motor data supervision is used as a core vein, a platform frame is built for different equipment manufacturers and different equipment users, effective supervision of the equipment by the manufacturers and effective supervision of the equipment users on equipment of different manufacturers are realized through a network communication technology, comprehensive data of the manufacturers, the users, managers and operators are achieved, early warning is carried out in advance, active operation and maintenance are achieved, and the motor fault occurrence rate is reduced. The method comprises the following specific steps:
an Internet of things motor monitoring platform comprises an application cloud platform, an information acquisition module, a central processing unit and a communication module; the application cloud platform comprises a basic management module, an equipment setting module, an equipment data expression module, an early warning module and mobile application software; the information acquisition module comprises a vibration sensor, an audio sensor, a temperature sensor, a voltage sensor and a current transformer; the information acquisition module is electrically connected with the central processing unit; the central processing unit is electrically connected with the communication module, and the communication module transmits data to the central processing unit by the application cloud platform. The acoustic frequency sensors are arranged on the surface of a shell of the tested motor or the front end and the rear end of the bearing; the vibration sensor is arranged on the surface of a shell of the tested motor or the front end and the rear end of the bearing; the temperature sensors are arranged on the surface of a shell of the tested motor or the front end and the rear end of a bearing and on the outer side of a three-phase winding coil of the motor; the current sensor (3 phases) is arranged in the junction box or the distribution box, and the voltage sensor (3 phases) is arranged in the junction box or the distribution box. The vibration sensor, the audio sensor, the temperature sensor, the voltage sensor and the current sensor are integrated with the central processing unit, the central processing unit carries out signal processing on data collected by the vibration sensor, the audio sensor, the temperature sensor, the voltage sensor and the current sensor, analog signal formats of collected audio frequency, vibration, temperature, voltage and current are converted into digital signals, the digital signals are subjected to necessary data conversion coding compression and then are pushed to the communication module, and the communication module transmits the digital signals to the application cloud platform through the internet to construct a database. The cloud platform is used for decoding received digital signals, the data decoding comprises methods such as regression curve fitting, fast Fourier transformation and the like, the expression format of collected data (voltage, current, temperature, vibration and sound) is calculated, and for an already-used motor, the difficulty of installing a sensor inside the motor again is too high, and the operability is not strong. The running condition of the motor can be judged only by qualitatively analyzing the motor bearing and reducing the requirement on the collected data and setting a threshold value (alarm) or a boundary condition (alarm). By adopting a qualitative analysis method, the information acquisition sensor is installed in the equipment when the equipment is used or is inconvenient to install, the bearing operation is qualitatively analyzed by rapidly acquiring the bearing information on the surface of the equipment, and the operation condition of the equipment can be rapidly judged.
The information acquisition module comprises the following acquisition methods:
1. the audio frequency sensors are arranged at the inner side of the shell of the tested motor or the front end and the rear end of the inner side of the bearing; the vibration sensors are arranged at the inner side of the shell of the tested motor or at the front end and the rear end of the inner side of the bearing; the temperature sensors are arranged at the front end and the rear end of the three-phase winding of the motor to be measured and the inner side of the bearing; the current sensor (3 phases) is arranged in the motor junction box, and the voltage sensor (3 phases) is arranged in the motor junction box. The method is suitable for installation when a motor manufacturer produces the motor, and the motor is informationized when leaves a factory.
2. The vibration sensor, the temperature sensor, the audio sensor, the central processing unit and the communication module are fixed outside the motor, and the current sensor (3 phases) and the voltage sensor (3 phases) are installed in the distribution box. The scheme is suitable for motor equipment manufacturers to master the motor running state and provides a data basis for equipment supervision, operation and maintenance.
3. With vibration sensor, temperature sensor, audio sensor, central processing unit and communication module integration for a quick information acquisition device (to the motor bearing), information acquisition device has the function of gathering vibration, temperature and audio, has wireless transmission simultaneously, conveniently binds (the base is equipped with magnet and can adsorbs functions such as metal surface) equipment. The intelligent inspection system provides an effective tool for operation and maintenance personnel of the motor equipment without the information acquisition module, facilitates capturing abnormal fault characteristics and improves inspection quality.
As a further improvement of the above technical solution:
the basic management module comprises organization management, department management, user management and user role management; the basic management module takes a cooperation relation structure used by equipment as a module for distinguishing and managing, the organization management comprises the steps of classifying and managing different equipment manufacturers and terminals, classifying different equipment of different manufacturers and the same manufacturer, establishing a manufacturer sub-category and establishing a terminal secondary sub-category according to the manufacturer sub-category, and conveniently managing the manufacturers and the corresponding terminals. The department management comprises organization and authority authorization of a management user (administration) and subordinate users thereof, after a client is authorized, the subordinate users can set threshold values or boundary conditions of a motor bearing according to an application scene, operation data can be transmitted to an equipment maintenance unit in real time to make diagnosis and active maintenance decisions, and conditions of early warning or fault alarm are determined. The user management provides data docking, pushing and remote monitoring services for the client, and the user management performs data management on the classified same equipment and different using terminals in the same scene; the user role management establishes an operation remote supervision management platform for the equipment manufacturer and the client, and the role management of the motor platform of the internet of things can be set by taking the equipment manufacturer as a first party, or by taking an equipment user as a first party, or can be set by taking the motor platform of the internet of things as a third party service, so that the motor platform of the internet of things has a wide application range.
The device management module comprises a device type item and a device list item; the device management module takes the device use condition as a module for distinguishing management, the device type items are used for distinguishing different types of devices, the devices comprise motors or other rotating devices, the device management module is suitable for the devices with bearings inside for supporting rotation, the device type items construct a database according to application scenes, and the database is used as an application scene data reference value; the device list item binds a motor (motor serial number) and a corresponding information acquisition module (embedded device) and a communication module through a unique code (UID); and the equipment management item generates a QR code according to the unique code, and manages the information received from the communication module according to the QR code. The equipment list item provides a terminal user interface, so that a terminal user can realize the binding of a client and a manufacturer through equipment. On one hand, the tracing to equipment production, function setting and the like by the end user can be helped, and on the other hand, the tracing to the end user can be helped to help the manufacturer to know the service condition of the end user. The device list item is also used to track the status of the device after leaving the factory. Such as enabled, in inventory, or eliminated (disabled).
The device setting module sets a threshold or a boundary condition according to a device type item, wherein the device type item comprises an application scene and a required design specification; the equipment setting module and the early warning module form an early warning reaction structure; the early warning module comprises a fault warning pushing mechanism applying a cloud platform and a warning lamp relay installed in the communication module. When the acquired data parameters are close to the warning threshold value or the boundary condition, the cloud platform is applied to send out early warning (short messages, WeChats, mails, telephones or warning devices and the like). And when the acquired data parameters exceed the specified fault threshold, the application cloud platform sends out fault alarms (short messages, WeChat, telephone or alarm devices and the like). According to the fault alarm setting, the automatic stop equipment is controlled to run through the corresponding relay equipment, and the safety is ensured. The threshold and the boundary condition are set by sending instructions to a communication module and an acquisition module in the supervisory equipment through the application cloud platform and the authority of the cloud platform, and the system early warning or alarm occurs at the same time of the equipment and the application cloud platform. The alarm in the communication module provides early warning or alarm (LED warning light) of the location of the equipment, and the equipment which is convenient for the staff to locate the problem in time. The application cloud platform not only displays early warning or alarm information, but also pushes the early warning or alarm information to a designated terminal (authorization) and a client.
The device data expression module comprises visual collected data display and corresponding devices and time, and displays the data on the application cloud platform and the authorized client in real time. The mobile client (smartphone) displays the running state of the equipment in real time after authorization, wherein the running state comprises motor voltage, current, temperature, vibration (bearing) and sound frequency. The representation method emphasizes comprehensive data display, data position, data collection time and equipment operation state and visualization in the application cloud platform. And the running state of the equipment is emphasized on the mobile client. If the cloud platform is applied to display the type of the electromechanical device data (voltage, current, temperature, vibration and sound), the device data is displayed in the form of a curve (voltage, current, temperature, vibration and sound) of the time axis to the horizontal axis, and a data log is included. And converting the received digital information into an analog signal by using a cloud platform, and restoring the acquired data into a visual curve.
The mobile application software is installed on a mobile client, and is started and displays the running state of the equipment by scanning the unique code after being managed and authorized by a department; the mobile application software access equipment type item management sets a threshold or boundary condition. The mobile application software is installed on the smart phone, and the QR (generated by the equipment management module) on the equipment is scanned by the mobile client, so that the running state of the equipment is started and displayed. An authorized handset client can manage or set threshold (alarm) or boundary condition (warning) conditions for operating the device. The application cloud platform may authorize client users and assign device supervision tasks.
The mobile application software runs and operates under the conditions of local area network/3G/4G/WiFi. Under the condition that the communication module and the application cloud platform are disconnected, the mobile application software is connected with the communication module to receive and store the collected information to the mobile client, and then the mobile client transmits the received information to the application cloud platform.
The user management distribution equipment supervises tasks, and the mobile application software has the functions of displaying task positions and providing task position navigation.
Has the advantages that:
1. the Internet of things motor platform is a system framework of the Internet of things motor. The information acquisition sensor is embedded into the traditional motor, and the running state of the motor is transmitted to the application cloud platform through the communication module. The application cloud platform provides a setting function of an application scene and operation, and a solution is built according to user requirements. The application cloud platform can monitor the running state of each authorized motor in real time, and a user can conveniently monitor the motor at any time and any place. If the abnormal operation state of the motor is detected, an alarm installed on the motor equipment prompts and gives an alarm, and the application cloud platform can display information in real time and push early warning or alarm to appointed operation and maintenance personnel.
2. Collected data are coded and converted into digital signals through the central processing module for transmission, the size of transmitted data is reduced, compared with unprocessed data, the transmission speed of the processed data is thousands of times of orders of magnitude faster, and for large-batch data transmission and reception, the requirements on hardware after coding processing are greatly reduced.
3. The mass motors are rapidly and effectively monitored, the motors produced by different types and different manufacturers are monitored by using the cloud platform, and a database is built and modeled according to the motors of the same type. As the operational data accumulates, a model (operational state curve) of the normal operation of the motor application scenario is built up. According to the model, the active maintenance can be carried out on each monitored independent motor or equipment in combination with application scene setting according to the monitored abnormal phenomenon.
4. In order to realize effective data acquisition and effective monitoring of the motor, the motor is numbered through a uniform unique identification code, and the arrangement of a collected data number list is realized. For the motor which is used, the unique identification code binds the parameter of the motor and serves as a retrieval code of the motor, and the mobile information acquisition module can be bound through code scanning, so that the method is rapid and convenient.
5. The intelligent point inspection of the motor is realized, the specialized degree of inspection personnel is reduced, only simple operation is needed, and the information management is realized, so that the operation and maintenance efficiency is improved, and the cost of enterprises is reduced.
6. Aiming at the use of the motor and the production condition of manufacturers, different data acquisition methods are set, and effective data acquisition is carried out on the newly produced motor, the motor which is used and even the motor which is used for a long time.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of an application cloud platform management structure of the present invention.
Fig. 2 is a schematic diagram of different information collection and working methods of the present invention.
Fig. 3 is a schematic diagram of the operation of the factory installation collection module of the device of the present invention.
Fig. 4 is a schematic view of the working process of the acquisition communication module according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention. In the embodiment, the temperature sensor is a pt100 temperature sensor produced by Shenzhen platinum electrical technology; the vibration sensor is a miniature omnidirectional vibration sensor produced by the Beijing, China, West and China high technology, and the model is JKY/M315161/CLA-3; the acoustic sensor adopts a digital acoustic sensor produced by Nanjing green source power, and the type is as follows: GEEXLB-2S; the current sensor is a Hall HDC-300K current sensor produced by Shenzhen Jinzheng Square and round technology; the voltage sensor is an SXDQ-S-03 three-phase four-wire dual-power voltage sensor produced by the SiAnya and SXAlwa power technology.
Example 1: an Internet of things motor monitoring platform comprises an application cloud platform; 1-4, the acoustic frequency sensor, the vibration sensor and the temperature sensor are arranged at the front end and the rear end of a bearing of the tested motor; a current sensor (3 phases) and a voltage sensor (3 phases) are arranged in a distribution box of the motor to be measured; the central processing unit and the communication module are integrated with the audio sensor, the vibration sensor, the temperature sensor, the current sensor and the voltage sensor to acquire information; the method comprises the steps of coding collected information, converting analog signal formats of collected audio frequency, vibration, temperature, voltage and current into digital signals, transmitting the digital signals to a communication module, transmitting the digital signals to an application cloud platform by the communication module, decoding the received digital signals by the application cloud platform, calculating the representation formats of the collected data (voltage, current, temperature, vibration and sound) by the data decoding method including regression curve fitting, fast Fourier transform and the like, constructing a database, and using the database and modeling as application scene data reference values. And classifying and managing templates such as a basic management module, an equipment setting module, an equipment data expression module, an early warning module, mobile application software and the like by using a cloud platform. The basic management module is divided into organization management, department management, user management and user role management. The organization management comprises the classification management of different equipment manufacturers and terminals; the department manages the organization and authority authorization of the administrative user and the subordinate users thereof; the user management provides data docking, pushing and remote monitoring services for the client; the user role management establishes an operation remote supervision management platform for equipment manufacturers and clients.
The device management module comprises a device type item and a device list item; the device type item is used for distinguishing different types of devices; the equipment list item is bound with a motor and a corresponding information acquisition sensor and a communication module through a Unique Identifier (UID); and the equipment management item generates a QR code according to the unique code, and manages the information received from the communication module according to the QR code. The equipment list item provides a terminal user interface as a client, so that the terminal user can realize the binding of the client and a manufacturer through equipment.
The equipment setting module and the early warning module form an early warning reaction structure; the early warning module comprises a fault warning pushing device applying a cloud platform and a warning relay switch installed in the communication module. And when the acquired data parameters are close to the boundary conditions, the cloud platform is applied to send out early warning. And when the acquired data parameters are close to the threshold value, the cloud platform is applied to send out fault alarms (short messages, WeChats, telephones or alarm devices and the like).
As shown in fig. 3 and fig. 4, the acquisition module and the communication module are initialized and self-checked after being powered on, the communication module includes WiFi, Sub-1GHz (local area network) and RS485 to establish a transmission path, the WiFi module is connected to the internet to connect with the application cloud platform, and if the connection fails, the Sub-1GHz module is used to communicate with other local acquisition communication modules. The wireless situation can be associated with the mobile client passively; the acquired data is converted by the central processing module AD, converted from an analog signal format into a digital signal and then transmitted to the application cloud platform through the communication module; the cloud platform data decoding is applied, the representation format of the collected data (voltage, current, temperature, vibration, sound) is calculated through regression curve fitting, fast Fourier transform and other methods, and meanwhile threshold value and boundary condition checking are executed to trigger early warning or alarming. The collected data is subjected to normal analysis and variance analysis on specific instruction comparison data, and then qualitative analysis is performed on the motor bearing, wherein one result is that switching operation is performed through a relay on a control panel, and the switching function of the relay comprises an LED display lamp and power-off operation set due to fault alarm. The application cloud platform stores motor operation data (status) and data logs.
The device data expression module comprises visual collected data display and corresponding devices and time, and displays the data on the application cloud platform and the authorized client in real time.
The mobile application software is installed on a mobile client, and is started and displays the running state of the equipment by scanning the unique code after being managed and authorized by a department; the application cloud platform may authorize client users and assign device supervision tasks. The mobile application software has the functions of displaying the task position and providing task position navigation.
Example 2: as shown in fig. 2, the difference between the embodiment and the embodiment 1 is the difference in the installation position of the information acquisition module, and the internet of things motor monitoring platform includes an application cloud platform; the audio sensor, the vibration sensor and the temperature sensor are arranged on the shell of the tested motor; and a current sensor (3 phases) and a voltage sensor (3 phases) which are arranged in the distribution box of the motor to be measured.
Example 3: as shown in fig. 2, this embodiment is based on that the database is already formed in embodiments 1 and 2, and the difference is that the information acquisition module only includes an audio sensor, a vibration sensor, and a temperature sensor, and the audio sensor, the vibration sensor, and the temperature sensor are integrated with the central processing unit and the communication module into one monitoring device, the monitoring device is mounted on the outer surface of the motor to acquire motor bearing information, and the central processing unit encodes the monitoring information and then transmits the encoded information to the application cloud platform through the communication module to perform data comparison and analysis on the motor bearing.
The technical solutions of the embodiments of the present invention can be combined, and the technical features of the embodiments can also be combined to form a new technical solution.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (8)
1. The utility model provides a thing networking motor monitoring platform which characterized in that: the system comprises an application cloud platform, a terminal information acquisition module, a central processing unit and a communication module; the application cloud platform comprises a basic management module, an equipment setting module, an equipment data expression module, an early warning module and mobile application software; the information acquisition module comprises a vibration sensor, an audio sensor, a temperature sensor, a voltage detection and a current transformer; the information acquisition module is electrically connected with the central processing unit; the central processing unit is electrically connected with the communication module, and the communication module transmits data to the central processing unit by the application cloud platform.
2. The Internet of things motor monitoring platform of claim 1, wherein: the basic management module comprises organization management, department management, user management and user role management; the organization management comprises the classification management of different equipment manufacturers and terminals; the department management comprises organization and authority authorization of the management user and subordinate users thereof; the user management provides data docking, pushing and remote monitoring services for the client; and the user role management establishes an operation remote supervision management platform for the equipment manufacturer and the client.
3. The Internet of things motor monitoring platform of claim 1, wherein: the device management module comprises a device type item and a device list item; the device type items are used for distinguishing different types of devices, a database is built according to the application scenes by the device type items, and the database is used as a data reference value of the application scenes; the device list item is bound with the motor, the corresponding information acquisition module and the corresponding communication module through the unique code; and the equipment management item generates a QR code according to the unique code, and manages the information received from the communication module according to the QR code.
4. The Internet of things motor monitoring platform of claim 3, wherein: the equipment setting module sets a threshold or a boundary condition according to the equipment type item; the equipment setting module and the early warning module form an early warning reaction structure; the early warning module comprises a fault warning device of the application cloud platform and a warning device installed in the communication module.
5. The Internet of things motor monitoring platform of claim 2 or 4, wherein: the device data expression module comprises visual collected data display and corresponding devices and time, and displays the data on the application cloud platform and the authorized client in real time.
6. The Internet of things motor monitoring platform of claim 5, wherein: the mobile application software is installed on a mobile client, and is started and displays the running state of the equipment by scanning the unique code after being managed and authorized by a department; the mobile application software access equipment type item management sets a threshold or boundary condition.
7. The Internet of things motor monitoring platform of claim 6, wherein: the mobile application software runs and operates under the conditions of local area network/3G/4G/WiFi.
8. The Internet of things motor monitoring platform of claim 7, wherein: the user management distribution equipment supervises tasks, and the mobile application software has the functions of displaying task positions and providing task position navigation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910979406.1A CN111123096A (en) | 2019-10-15 | 2019-10-15 | Internet of things motor monitoring platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910979406.1A CN111123096A (en) | 2019-10-15 | 2019-10-15 | Internet of things motor monitoring platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111123096A true CN111123096A (en) | 2020-05-08 |
Family
ID=70495346
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910979406.1A Pending CN111123096A (en) | 2019-10-15 | 2019-10-15 | Internet of things motor monitoring platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111123096A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112055062A (en) * | 2020-08-21 | 2020-12-08 | 深圳市信锐网科技术有限公司 | Data communication method, device, equipment and readable storage medium |
| CN112885047A (en) * | 2021-01-15 | 2021-06-01 | 湖南五凌电力科技有限公司 | Intelligent early warning method for state monitoring of unit, transformer and auxiliary machine |
| CN114143336A (en) * | 2021-06-07 | 2022-03-04 | 辽宁兴标壹网络科技有限公司 | Intelligent device management cloud platform |
| CN114326554A (en) * | 2021-12-24 | 2022-04-12 | 贵州盘江精煤股份有限公司 | Electromechanical device intelligent monitoring management system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130083664A1 (en) * | 2010-09-13 | 2013-04-04 | Jeffrey T. Harris | Remote management hardware platform for site monitoring with smart block i/o device |
| CN105093109A (en) * | 2015-07-10 | 2015-11-25 | 中国矿业大学 | Wireless and remote monitoring and networking system and method for motor state |
| CN105739465A (en) * | 2016-01-28 | 2016-07-06 | 南京邮电大学 | Device management system and device management method based on Internet of Things |
| CN208015765U (en) * | 2018-02-07 | 2018-10-26 | 杭州润缘信息科技有限公司 | A kind of data communication system based on Internet of Things |
| CN108957236A (en) * | 2018-08-01 | 2018-12-07 | 南京世界村云数据产业集团有限公司 | A kind of mechanical breakdown monitoring system based on internet big data |
| CN109084835A (en) * | 2018-07-13 | 2018-12-25 | 中国科学院合肥物质科学研究院 | A kind of electric machines test and remote monitoring system based on PXIe test platform |
| CN109375594A (en) * | 2018-10-10 | 2019-02-22 | 杭州润缘信息科技有限公司 | Urban safety wisdom control platform and managing and control system |
| CN109557250A (en) * | 2017-09-27 | 2019-04-02 | 广东飞和信息科技有限公司 | Monitoring environmental data method and device based on Internet of Things |
| CN109617018A (en) * | 2018-12-08 | 2019-04-12 | 合肥赛因斯智控技术有限公司 | A kind of the motor collecting and distributing type managing and control system and method for early warning of BN-IOT communication |
| CN109669406A (en) * | 2018-11-21 | 2019-04-23 | 上海资鑫机电设备有限公司 | A kind of remote online monitoring system and its workflow of industrial equipment |
-
2019
- 2019-10-15 CN CN201910979406.1A patent/CN111123096A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130083664A1 (en) * | 2010-09-13 | 2013-04-04 | Jeffrey T. Harris | Remote management hardware platform for site monitoring with smart block i/o device |
| CN105093109A (en) * | 2015-07-10 | 2015-11-25 | 中国矿业大学 | Wireless and remote monitoring and networking system and method for motor state |
| CN105739465A (en) * | 2016-01-28 | 2016-07-06 | 南京邮电大学 | Device management system and device management method based on Internet of Things |
| CN109557250A (en) * | 2017-09-27 | 2019-04-02 | 广东飞和信息科技有限公司 | Monitoring environmental data method and device based on Internet of Things |
| CN208015765U (en) * | 2018-02-07 | 2018-10-26 | 杭州润缘信息科技有限公司 | A kind of data communication system based on Internet of Things |
| CN109084835A (en) * | 2018-07-13 | 2018-12-25 | 中国科学院合肥物质科学研究院 | A kind of electric machines test and remote monitoring system based on PXIe test platform |
| CN108957236A (en) * | 2018-08-01 | 2018-12-07 | 南京世界村云数据产业集团有限公司 | A kind of mechanical breakdown monitoring system based on internet big data |
| CN109375594A (en) * | 2018-10-10 | 2019-02-22 | 杭州润缘信息科技有限公司 | Urban safety wisdom control platform and managing and control system |
| CN109669406A (en) * | 2018-11-21 | 2019-04-23 | 上海资鑫机电设备有限公司 | A kind of remote online monitoring system and its workflow of industrial equipment |
| CN109617018A (en) * | 2018-12-08 | 2019-04-12 | 合肥赛因斯智控技术有限公司 | A kind of the motor collecting and distributing type managing and control system and method for early warning of BN-IOT communication |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112055062A (en) * | 2020-08-21 | 2020-12-08 | 深圳市信锐网科技术有限公司 | Data communication method, device, equipment and readable storage medium |
| CN112055062B (en) * | 2020-08-21 | 2024-04-09 | 深圳市信锐网科技术有限公司 | Data communication method, device, equipment and readable storage medium |
| CN112885047A (en) * | 2021-01-15 | 2021-06-01 | 湖南五凌电力科技有限公司 | Intelligent early warning method for state monitoring of unit, transformer and auxiliary machine |
| CN114143336A (en) * | 2021-06-07 | 2022-03-04 | 辽宁兴标壹网络科技有限公司 | Intelligent device management cloud platform |
| CN114326554A (en) * | 2021-12-24 | 2022-04-12 | 贵州盘江精煤股份有限公司 | Electromechanical device intelligent monitoring management system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111123096A (en) | Internet of things motor monitoring platform | |
| CN202026140U (en) | Distribution type distribution room environment and power distribution comprehensive monitor system | |
| CN109638966B (en) | Visual cloud platform system for intelligent online monitoring and data remote transmission of lightning arrester | |
| KR102085655B1 (en) | Industrial PLC Interlock and Smart Factory Monitering System by Using PLC Gateway and A/S Maintenance by Using PLC Gateway | |
| CN104615112A (en) | Resource and environment monitoring and warning system under network environment | |
| CN110703094A (en) | Motor monitoring method | |
| CN111158328A (en) | Equipment operation and maintenance system based on industrial Internet of things | |
| KR101094195B1 (en) | Power facility management system using two dimensional code and administation server, and method for managing the same | |
| CN103964268B (en) | Realize elevator cloud system that producer is responsible for all the life to elevator and elevator fortune control method | |
| CN102722165A (en) | Reliability test remote monitoring system | |
| CN109617018A (en) | A kind of the motor collecting and distributing type managing and control system and method for early warning of BN-IOT communication | |
| CN202995373U (en) | 3G intelligent remote control management system structure for water supply with constant pressure and frequency conversion | |
| CN105049223A (en) | Electric power communication network defect and fault processing decision-aided analysis method | |
| CN102621959A (en) | Non-electricity monitoring terminal equipment, management equipment and monitoring device for distribution transformer room | |
| CN111678557A (en) | Intelligent monitoring system and method for electrified railway traction transformer | |
| CN202661863U (en) | Remote monitoring system for reliability test | |
| CN108988961B (en) | Radio monitoring operation management system | |
| CN110677293B (en) | Alarm system based on machine room operation and maintenance management platform | |
| CN102340179B (en) | Network-based multi-station monitoring integrated matrix display control system | |
| CN105158659B (en) | A kind of variable-frequency motor insulation automatic checkout system | |
| CN210222553U (en) | Computer lab environmental monitoring system | |
| CN209992623U (en) | Distributed motor fault monitoring system based on Internet of things | |
| CN209486255U (en) | A kind of motor collecting and distributing type managing and control system based on BN-IOT communication | |
| EP2672353A1 (en) | Transformer monitoring with a mobile device | |
| CN201435711Y (en) | Self-control energy-saving motor monitoring system |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200508 |
|
| RJ01 | Rejection of invention patent application after publication |