CN110632875A - Equipment health monitoring method and device based on AIoT intelligent Internet of things - Google Patents
Equipment health monitoring method and device based on AIoT intelligent Internet of things Download PDFInfo
- Publication number
- CN110632875A CN110632875A CN201910906649.2A CN201910906649A CN110632875A CN 110632875 A CN110632875 A CN 110632875A CN 201910906649 A CN201910906649 A CN 201910906649A CN 110632875 A CN110632875 A CN 110632875A
- Authority
- CN
- China
- Prior art keywords
- equipment
- things
- current
- signal
- cloud
- 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
- 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
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
-
- 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
- G05B2219/24215—Scada supervisory control and data acquisition
Abstract
The invention provides an equipment health monitoring method and device based on an AIoT intelligent Internet of things, wherein the method comprises the following steps: collecting a device current related signal, converting the device current related signal into data, processing and calculating current signal frequency domain data and/or device real-time power, encrypting through an internet-of-things encryption lock and sending to a cloud terminal; and comparing the processed current frequency domain data and/or the device power with the cloud fault library based on the cloud-stored fault library, so as to realize fault analysis, prediction, early warning and whole-device life cycle monitoring of the device, and remotely controlling the device according to a user preset rule. The method and the device for monitoring the health of the electric equipment are realized on the basis of the technology of the Internet of things, can dynamically acquire the running current data of the equipment in real time, and can realize intelligent and remote management and control of the equipment and accurate fault analysis and prediction on the basis of artificial intelligence analysis of historical data and cloud big data.
Description
Technical Field
The invention mainly relates to the technical field related to intelligent monitoring and control of electric equipment, in particular to an equipment health monitoring method and device based on an AIoT intelligent Internet of things.
Background
In the fields of scientific research, education and industry, a large number of valuable electric equipment or equipment are provided, and the management and application of the concept of intelligent Internet of things are needed. But for historical reasons, technical reasons or industrial reasons, the problems of no internet of things, no intelligence, no safety and the like exist. The specific expression is that the electricity utilization information of the equipment is not adapted to the development trend of the Internet of things, and the safety and health monitoring of the equipment is still manual operation and manual control; although some intelligent control means of electric equipment based on the internet of things exist in the market, such as a WiFi socket, the intelligent control means only serve as a remote controller based on a network, and the intelligent control means does not have a real artificial intelligence attribute; for the safety problem of general equipment, manual test is basically used, or the traditional instrument is tested off-line, so that the failure removal efficiency is low, the failure prediction capability is not available, and the potential safety hazard is large.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides the equipment health monitoring method and the equipment health monitoring device based on the AIoT intelligent Internet of things from the practical application by combining the prior art, and the method and the equipment health monitoring device have the advantages of predicting whether potential safety hazards exist in power distribution in advance and avoiding power utilization accidents of equipment more effectively.
The technical scheme of the invention is as follows:
according to one aspect of the invention, an AIoT intelligent Internet of things-based equipment health monitoring method is provided, and the method comprises the following steps: collecting a device current related signal, converting the device current related signal into data, processing and calculating current signal frequency domain data and/or device real-time power, encrypting through an internet-of-things encryption lock and sending to a cloud terminal; and comparing the processed current frequency domain data and/or the device power with the cloud fault library based on the cloud-stored fault library, so as to realize fault analysis, prediction, early warning and whole-device life cycle monitoring of the device, and remotely controlling the device according to a user preset rule.
Furthermore, the fault library stored by the cloud comprises historical signal characteristics of the equipment and signal characteristics of similar equipment, when the cloud carries out signal comparison, the equipment signal characteristics are dynamically compared with the historical signal characteristics of the fault library and the similar equipment characteristics on line, so that fault analysis, prediction, early warning and whole-equipment life cycle monitoring of the equipment are realized, and the equipment is remotely controlled according to a preset rule of a user.
According to another aspect of the invention, an equipment health monitoring device based on an AIoT intelligent Internet of things is provided, which comprises:
the device acquisition device is used for acquiring device current related signals, converting the device current related signals into data, processing and calculating current signal frequency domain data and/or device real-time power and sending the current signal frequency domain data and/or the device real-time power to the cloud server;
the system comprises an Internet of things encryption lock, a cloud server and information remote control equipment, wherein the Internet of things encryption lock can encrypt all data information and send the data information to the cloud server, and can receive information of an APP through the cloud server;
the cloud server is used for receiving current signal frequency domain data and/or equipment real-time power transmitted by the equipment acquisition device and comparing the current signal frequency domain data and/or the equipment real-time power with the fault library, so that fault analysis, prediction, early warning and whole equipment life cycle monitoring of the equipment are realized, and the equipment is remotely controlled according to a user preset rule.
Furthermore, the device acquisition device comprises a shell, wherein a power supply and protection module, a current transformer, a signal amplification module, a communication interface and a central processing unit are integrated in the shell, the central processing unit is respectively connected with the communication interface, the signal amplification module and the power supply and protection module, and the signal amplification module is connected with the current transformer; the current transformer is used for collecting equipment current related signals, the central processing unit is used for processing the current related signals, and the communication interface is used for communicating with equipment and the cloud server.
Further, the central processing unit is the STM32F103 chip, the signal amplification module is with the signal amplification module that LM324 is the core, current transformer is the alternating current-direct current induction chip, communication interface is including the wiFi or 4G or 5G networking communication interface that are used for realizing the communication with the high in the clouds server, power supply and protection module are the power supply of preventing joining conversely of 12V voltage.
Further, the communication interface further comprises an external IO used for being connected with external equipment and a relay used for controlling a power signal of the external equipment, and when the equipment acquisition device receives a fault signal fed back by the cloud server, the power of the relay control equipment is disconnected.
Furthermore, the equipment acquisition device further comprises an infrared inductor and a key switch, and the infrared inductor and the key switch control the equipment acquisition device to be started.
Further, the internet of things encryption lock can operate the equipment acquisition device in an activated state.
Furthermore, the equipment acquisition devices are multiple and distributed, and the equipment acquisition devices are networked through WiFi and connected with the cloud server.
The invention has the beneficial effects that:
the method and the device for monitoring the health of the electric equipment are realized on the basis of the technology of the Internet of things, can dynamically acquire the running current data of the equipment in real time, and can realize intelligent and remote control of the equipment and accurate fault analysis and prediction on the basis of artificial intelligence analysis of historical data and cloud big data; when the electricity consumption of the equipment has abnormal change trend, the alarm can be timely given in advance or the control can be carried out to protect the equipment, and the device is suitable for factory equipment and personal family users.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a schematic diagram of the use of the preferred embodiment of the present invention;
FIG. 3 is a block diagram of the device acquisition apparatus of the present invention;
FIG. 4 is a circuit diagram of a CPU of the present invention;
FIG. 5 is a current transformer interface circuit diagram of the present invention;
FIG. 6 is a circuit diagram of a signal amplification module of the present invention;
FIG. 7 is a circuit diagram of the power supply and protection module of the present invention;
fig. 8 is a circuit diagram of a communication interface of the present invention.
Detailed Description
The invention is further described with reference to the accompanying drawings and specific embodiments. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and these equivalents also fall within the scope of the present application.
The invention provides an equipment health monitoring method and device based on an AIoT intelligent Internet of things.
The monitoring method mainly comprises the following steps: the current related signals of the equipment are acquired on site, converted into data, processed and calculated to obtain current signal frequency domain data and/or equipment real-time power, encrypted through an internet-of-things encryption lock and sent to a cloud end; and comparing the processed current frequency domain data and/or the device power with the cloud fault library based on the cloud-stored fault library to realize fault analysis, prediction and early warning of the device. The fault library stored by the cloud comprises historical signal characteristics of the equipment and signal characteristics of the similar equipment, and when the cloud carries out signal comparison, the equipment signal characteristics are dynamically compared with the historical signal characteristics of the fault library and the similar equipment characteristics on line, so that fault analysis, prediction and early warning of the equipment are realized. For current harmonic analysis: the power consumption is a basic condition of modern equipment, and is just like the blood vessels of people, the past analysis only simply gives the basic conclusion of whether anemia exists, and the microscopic blood circulation dynamic data can be obtained in a sampling manner by a high-tech means so as to achieve the purpose of predicting and controlling diseases in advance. In a similar way, all equipment and a normalized condition are required to be driven by electric power, and compared with the traditional condition, only a simple tool can be used for simple test.
As shown in fig. 1, in this embodiment, an apparatus health monitoring device based on an AIoT intelligent internet of things is provided at the same time, and the apparatus mainly includes: equipment acquisition device, thing networking trick lock and high in the clouds server. The device acquisition device is used for acquiring device current related signals, converting the device current related signals into data, processing and calculating current signal frequency domain data and/or device real-time power, encrypting the current signal frequency domain data and/or the device real-time power through an Internet-of-things encryption lock and sending the current signal frequency domain data and/or the device real-time power to the cloud server; the cloud server is provided with a fault library and is used for receiving current signal frequency domain data and/or equipment real-time power transmitted by the equipment acquisition device and comparing the current signal frequency domain data and/or the equipment real-time power with the fault library to realize fault analysis, prediction and early warning of the equipment. According to the invention, the equipment acquisition devices can be installed in a machine tool, a large-scale instrument, a test platform, non-standard equipment or household electrical appliance equipment, the multiple equipment acquisition devices are distributed and can be connected with a cloud server through WiFi networking, meanwhile, a small display terminal can be arranged on the site for interacting with a user, and can be connected with the cloud server in an APP management mode, so that the purpose of monitoring the equipment in advance is achieved, and the state is displayed on the device by comparing a current fault library of the cloud, and a fault code is warned by alarming. And output to other equipment for on-site automatic control.
Fig. 2 is a schematic use diagram of an embodiment of the present invention. The equipment acquisition device can generate IO control signals, TTL communication signals and power management signals of the relay, and control of three modes including super trial time control, super trial frequency control and manual remote control is realized in a three-to-one mode. In the operation process, the working state of the equipment is monitored, and high-speed processing is carried out on the abnormity.
As shown in fig. 3, based on the principle and the using mode of the present invention, the specific structure of the device collecting apparatus provided by the present invention is as follows: the intelligent power supply device comprises a shell, wherein a power supply and protection module, a current transformer, a signal amplification module, a communication interface and a central processing unit are integrated in the shell, the central processing unit is respectively connected with the communication interface, the signal amplification module and the power supply and protection module, and the signal amplification module is connected with the current transformer; the current transformer is used for collecting equipment current related signals, the central processing unit is used for processing the current related signals, and the communication interface is used for communicating with equipment and the cloud server.
Fig. 4 to 8 show circuit diagrams corresponding to the modules of the present invention. In the invention, the central processing unit is an STM32F103 chip, WiFi or 4G/5G networking communication is adopted, and a large data platform is established on a server. The signal amplification module is a signal amplification module with LM324 as a core, the current transformer interface is a current induction ACS712 chip, and the IO interface is an RS232/TTL communication interface and an IO and relay interface. The power supply and protection module supplies power for preventing reverse connection of 12V voltage. The central processing unit adopts an STM32F103 series ARM chip, and can acquire data and process signals at high speed in real time. The central processing unit is connected with the power supply and protection module, the signal amplification module and the RS232/TTL communication interface, and the current transformer interface is connected with the signal amplification module for collecting and amplifying current signals. The WiFi or 4G/5G networking communication is connected with the central processing unit. The RS232/TTL communication interface and the IO interface are connected with the central processing unit, and the protection circuit realizes power supply protection and ensures the safety of the device. The device contains 10A relay output, carries out on-off control, and external IO can be connected with equipment such as PLC, reserves other communication interfaces, reserves the location interface simultaneously. The internet of things encryption lock enables the equipment to be used only in an activated state.
The monitoring device of the present invention is applicable to either an individual or an individual user.
Aiming at unit users, equipment induction can be set, and protection, fault analysis and current monitoring are achieved. When the device is used specifically, the device is connected with 220V, 220V is output, the power utilization current is monitored in real time, the real-time power can be calculated, the current harmonic wave is analyzed, the abnormal condition of the power utilization of the device is counted, the power supply is intelligently turned off, the device is protected, meanwhile, the condition that the instantaneous current of the high-current device reversely affects the connected voltage is analyzed, and the protection is carried out; by utilizing a big data technology, an artificial intelligent self-learning system is established for the equipment according to categories, and the real-time signal characteristics of the single equipment are dynamically compared with the historical signal characteristics and the characteristics of the similar equipment on line, so that the functions of fault analysis, prediction and early warning are achieved. Meanwhile, a trunk pre-function can be set, the output can be controlled to be opened through an external signal (key), and the output can be controlled to be closed through an internal threshold.
Aiming at individual users, infrared induction and keys can be set, output is controlled to be started, the intelligent alarm is mainly used for monitoring real-time power of household appliances, intelligent reminding is started in abnormal use time periods, the infrared human body induction function is added, and the output of the device is automatically started when people are detected.
Claims (9)
1. An equipment health monitoring method based on an AIoT intelligent Internet of things is characterized by comprising the following steps: collecting a device current related signal, converting the device current related signal into data, processing and calculating current signal frequency domain data and/or device real-time power, encrypting through an internet-of-things encryption lock and sending to a cloud terminal; and comparing the processed current frequency domain data and/or the device power with the cloud fault library based on the cloud-stored fault library, so as to realize fault analysis, prediction, early warning and whole-device life cycle monitoring of the device, and remotely controlling the device according to a user preset rule.
2. The method for monitoring equipment health based on the AIoT intelligent Internet of things as claimed in claim 1, wherein the fault library stored in the cloud comprises historical signal features of equipment and signal features of similar equipment, when the cloud carries out signal comparison, the equipment signal features are dynamically compared with the historical signal features of the fault library and the signal features of the similar equipment on line, so that fault analysis, prediction, early warning and whole-equipment life cycle monitoring of the equipment are realized, and the equipment is remotely controlled according to a preset rule of a user.
3. The utility model provides an equipment health monitoring device based on AIoT intelligence thing networking which characterized in that includes:
the device acquisition device is used for acquiring device current related signals, converting the device current related signals into data, processing and calculating current signal frequency domain data and/or device real-time power, encrypting the current signal frequency domain data and/or the device real-time power through the Internet of things encryption lock, sending the current signal frequency domain data and/or the device real-time power to the cloud server, and meanwhile receiving information remote control equipment of the APP through the cloud server;
the system comprises an Internet of things encryption lock, a cloud server and information remote control equipment, wherein the Internet of things encryption lock can encrypt all data information and send the data information to the cloud server, and can receive information of an APP through the cloud server;
the cloud server is used for receiving current signal frequency domain data and/or equipment real-time power transmitted by the equipment acquisition device and comparing the current signal frequency domain data and/or the equipment real-time power with the fault library, so that fault analysis, prediction, early warning and whole equipment life cycle monitoring of the equipment are realized, and the equipment is remotely controlled according to a user preset rule.
4. The AIoT intelligent Internet of things-based equipment health monitoring device of claim 3, wherein the equipment acquisition device comprises a shell, a power supply and protection module, a current transformer, a signal amplification module, a communication interface and a central processing unit are integrated in the shell, the central processing unit is respectively connected with the communication interface, the signal amplification module and the power supply and protection module, and the signal amplification module is connected with the current transformer; the current transformer is used for collecting equipment current related signals, the central processing unit is used for processing the current related signals, and the communication interface is used for communicating with equipment and the cloud server.
5. The device health monitoring device based on the AIoT intelligent Internet of things of claim 4, wherein the central processing unit is an STM32F103 chip, the signal amplification module is a signal amplification module with LM324 as a core, the current transformer is an AC/DC induction chip, the communication interface comprises a WiFi or 4G or 5G networking communication interface for realizing communication with a cloud server, and the power supply and protection module is a 12V voltage reverse-connection-prevention power supply.
6. The device health monitoring apparatus based on the AIoT intelligent internet of things of claim 5, wherein the communication interface further comprises an external IO for connecting with an external device and a relay for controlling a power signal of the external device, and when the device acquisition apparatus receives a fault signal fed back by the cloud server, the relay controls the power of the device to be disconnected.
7. The AIoT intelligent Internet of things-based equipment health monitoring device of claim 4, wherein the equipment acquisition device further comprises an infrared sensor and a key switch, and the infrared sensor and the key switch are used for controlling the equipment acquisition device to be turned on.
8. The AIoT-based intelligent IOT-based equipment health monitoring device of claim 3, wherein the IOT encryption lock is activated to operate the equipment acquisition device.
9. The AIoT intelligent Internet of things-based equipment health monitoring device of claim 3, wherein the number of the equipment acquisition devices is multiple, the equipment acquisition devices are distributed, and the equipment acquisition devices are networked through WiFi and connected with a cloud server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910906649.2A CN110632875A (en) | 2019-09-24 | 2019-09-24 | Equipment health monitoring method and device based on AIoT intelligent Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910906649.2A CN110632875A (en) | 2019-09-24 | 2019-09-24 | Equipment health monitoring method and device based on AIoT intelligent Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110632875A true CN110632875A (en) | 2019-12-31 |
Family
ID=68974135
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910906649.2A Pending CN110632875A (en) | 2019-09-24 | 2019-09-24 | Equipment health monitoring method and device based on AIoT intelligent Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110632875A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112199248A (en) * | 2020-09-14 | 2021-01-08 | 中标慧安信息技术股份有限公司 | Operation and maintenance method based on artificial intelligence edge equipment |
| CN112580082A (en) * | 2020-12-29 | 2021-03-30 | 北京深思数盾科技股份有限公司 | Data processing method and encryption lock equipment |
| CN112631242A (en) * | 2020-12-07 | 2021-04-09 | 国网四川省电力公司电力科学研究院 | Power abuse analysis method and device for household electrical equipment |
| CN113253037A (en) * | 2021-06-22 | 2021-08-13 | 北京赛博联物科技有限公司 | Current ripple-based edge cloud cooperative equipment state monitoring method and system and medium |
| CN114019935A (en) * | 2021-09-26 | 2022-02-08 | 华能巢湖发电有限责任公司 | Real-time detection and diagnosis system based on industrial Internet of things equipment |
| CN115658742A (en) * | 2022-11-16 | 2023-01-31 | 武汉亚为电子科技有限公司 | Identification analysis method and system for field-level active identification carrier |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105430091A (en) * | 2015-12-11 | 2016-03-23 | 山东科大机电科技股份有限公司 | Cloud storage based remote equipment health management method and system using same |
| CN106097615A (en) * | 2016-08-09 | 2016-11-09 | 合肥供水集团有限公司 | Unmanned pump house is anti-probably remotely monitors linked system |
| CN106787210A (en) * | 2017-01-20 | 2017-05-31 | 北京立思辰新技术有限公司 | A kind of Cloud Server monitoring management method for being applied to power system transformer |
| CN107144721A (en) * | 2017-05-26 | 2017-09-08 | 北京戴纳实验科技有限公司 | Framework is analyzed for the electric current of laboratory equipment and the big data of voltage |
| CN107172128A (en) * | 2017-04-24 | 2017-09-15 | 华南理工大学 | A kind of manufacturing equipment big data acquisition method of cloud auxiliary |
| CN108233529A (en) * | 2016-12-21 | 2018-06-29 | 上海佳岚智能科技有限公司 | Intelligent remote power monitoring modularization apparatus and system |
| CN109041052A (en) * | 2018-07-02 | 2018-12-18 | 北京市燃气集团有限责任公司 | A kind of safety communicating method and system based on marking algorithm |
| WO2019018007A1 (en) * | 2017-07-20 | 2019-01-24 | Targus International Llc | Systems, methods and devices for remote power management and discovery |
| CN109638966A (en) * | 2018-12-28 | 2019-04-16 | 广州中光电气科技有限公司 | A kind of monitoring of arrester intelligent online, data remote visualization cloud platform system |
-
2019
- 2019-09-24 CN CN201910906649.2A patent/CN110632875A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105430091A (en) * | 2015-12-11 | 2016-03-23 | 山东科大机电科技股份有限公司 | Cloud storage based remote equipment health management method and system using same |
| CN106097615A (en) * | 2016-08-09 | 2016-11-09 | 合肥供水集团有限公司 | Unmanned pump house is anti-probably remotely monitors linked system |
| CN108233529A (en) * | 2016-12-21 | 2018-06-29 | 上海佳岚智能科技有限公司 | Intelligent remote power monitoring modularization apparatus and system |
| CN106787210A (en) * | 2017-01-20 | 2017-05-31 | 北京立思辰新技术有限公司 | A kind of Cloud Server monitoring management method for being applied to power system transformer |
| CN107172128A (en) * | 2017-04-24 | 2017-09-15 | 华南理工大学 | A kind of manufacturing equipment big data acquisition method of cloud auxiliary |
| CN107144721A (en) * | 2017-05-26 | 2017-09-08 | 北京戴纳实验科技有限公司 | Framework is analyzed for the electric current of laboratory equipment and the big data of voltage |
| WO2019018007A1 (en) * | 2017-07-20 | 2019-01-24 | Targus International Llc | Systems, methods and devices for remote power management and discovery |
| CN109041052A (en) * | 2018-07-02 | 2018-12-18 | 北京市燃气集团有限责任公司 | A kind of safety communicating method and system based on marking algorithm |
| CN109638966A (en) * | 2018-12-28 | 2019-04-16 | 广州中光电气科技有限公司 | A kind of monitoring of arrester intelligent online, data remote visualization cloud platform system |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112199248A (en) * | 2020-09-14 | 2021-01-08 | 中标慧安信息技术股份有限公司 | Operation and maintenance method based on artificial intelligence edge equipment |
| CN112199248B (en) * | 2020-09-14 | 2021-07-27 | 中标慧安信息技术股份有限公司 | Operation and maintenance method based on artificial intelligence edge equipment |
| CN112631242A (en) * | 2020-12-07 | 2021-04-09 | 国网四川省电力公司电力科学研究院 | Power abuse analysis method and device for household electrical equipment |
| CN112580082A (en) * | 2020-12-29 | 2021-03-30 | 北京深思数盾科技股份有限公司 | Data processing method and encryption lock equipment |
| CN112580082B (en) * | 2020-12-29 | 2022-04-05 | 北京深思数盾科技股份有限公司 | Data processing method and encryption lock equipment |
| CN113253037A (en) * | 2021-06-22 | 2021-08-13 | 北京赛博联物科技有限公司 | Current ripple-based edge cloud cooperative equipment state monitoring method and system and medium |
| CN113253037B (en) * | 2021-06-22 | 2021-10-08 | 北京赛博联物科技有限公司 | Current ripple-based edge cloud cooperative equipment state monitoring method and system and medium |
| CN114019935A (en) * | 2021-09-26 | 2022-02-08 | 华能巢湖发电有限责任公司 | Real-time detection and diagnosis system based on industrial Internet of things equipment |
| CN115658742A (en) * | 2022-11-16 | 2023-01-31 | 武汉亚为电子科技有限公司 | Identification analysis method and system for field-level active identification carrier |
| CN115658742B (en) * | 2022-11-16 | 2023-04-07 | 武汉亚为电子科技有限公司 | Identification analysis method and system for field-level active identification carrier |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110632875A (en) | Equipment health monitoring method and device based on AIoT intelligent Internet of things | |
| CN208891079U (en) | Equipment monitoring system based on lora technology | |
| CN203338110U (en) | Internet of Things-oriented intelligent home system | |
| CN208537974U (en) | Smart home energy management system | |
| CN104460614A (en) | Hotel energy-consumption intelligent remote monitoring and managing system | |
| CN203367660U (en) | Intelligent metering socket | |
| CN108317290A (en) | A kind of valve control system and method | |
| CN205693440U (en) | Intelligent power based on Internet of Things protection system | |
| CN203056683U (en) | Box-type transformer station intelligent monitoring system | |
| CN204205712U (en) | A kind of transforming plant DC power supply is near, remote wireless monitoring system | |
| CN110350475A (en) | A kind of Electrical Safety detection system based on artificial intelligence | |
| CN101425689A (en) | Intelligent remote electricity control system | |
| CN204462278U (en) | Based on the distribution transformer status monitoring information acquisition and processing system of IEC61850 standard | |
| CN206877098U (en) | The monitor controller of user power utilization equipment | |
| CN209215893U (en) | A kind of ring network cabinet DTU | |
| CN203466592U (en) | Starting circuit for photovoltaic energy-storage system of off-grid type | |
| CN208061406U (en) | High-power electric appliance uses alarm | |
| CN202183638U (en) | Remote distribution control system based on internet of things | |
| CN112670885A (en) | Intelligent box-type substation system of thing networking | |
| CN215672637U (en) | Remote judgment equipment applied to actual operation of power equipment | |
| CN205911830U (en) | Cubical switchboard remote intelligent monitoring system | |
| CN111080478A (en) | Client side enhancement system based on power supply enterprise marketing service | |
| CN204334836U (en) | Transmission line video image real-time monitoring system | |
| CN205301854U (en) | Electronic control system of intelligence house | |
| CN203119613U (en) | Medical dual-power IT (information technology) isolation 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: 20191231 |
|
| RJ01 | Rejection of invention patent application after publication |