CN111124823A - Fault early warning system and method for three-dimensional visualization equipment - Google Patents
Fault early warning system and method for three-dimensional visualization equipment Download PDFInfo
- Publication number
- CN111124823A CN111124823A CN201911311269.0A CN201911311269A CN111124823A CN 111124823 A CN111124823 A CN 111124823A CN 201911311269 A CN201911311269 A CN 201911311269A CN 111124823 A CN111124823 A CN 111124823A
- Authority
- CN
- China
- Prior art keywords
- data
- module
- fault
- unit
- early warning
- 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
- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000012800 visualization Methods 0.000 title claims abstract description 10
- 238000012423 maintenance Methods 0.000 claims abstract description 53
- 238000012544 monitoring process Methods 0.000 claims abstract description 35
- 238000007405 data analysis Methods 0.000 claims abstract description 24
- 238000012545 processing Methods 0.000 claims abstract description 17
- 238000004140 cleaning Methods 0.000 claims description 21
- 230000008030 elimination Effects 0.000 claims description 14
- 238000003379 elimination reaction Methods 0.000 claims description 14
- 230000000007 visual effect Effects 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 3
- 230000006855 networking Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 3
- 238000007726 management method Methods 0.000 description 22
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
- G06T19/006—Mixed reality
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Computing Systems (AREA)
- Computer Graphics (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention belongs to the technical field of operation and maintenance management, in particular to a fault early warning system and a fault early warning method for three-dimensional visualization equipment, aiming at the problems of unrefined monitoring information, inconvenient management and low fault disposal efficiency in the prior art, the following solutions are proposed: the intelligent monitoring system comprises a monitoring module, a data acquisition device, a central processing unit, a data analysis module and an operation and maintenance management platform, wherein the data acquisition device transmits data to the data analysis module through the central processing unit, the monitoring module is used for monitoring a host, a server and a circuit module, the data acquisition device is connected with the monitoring module, the monitoring module comprises a floor number and a machine room number, the floor number and the machine room number are synchronously transmitted during acquisition, and the data analysis module analyzes and manages the data. The invention has the advantages of wide monitoring data range, accurate fault positioning, high operation and maintenance efficiency, capability of collecting and analyzing fault data, quick solution when similar faults occur subsequently, and good use effect.
Description
Technical Field
The invention relates to the technical field of operation and maintenance management, in particular to a three-dimensional visualization equipment fault early warning system and a three-dimensional visualization equipment fault early warning method.
Background
The three-dimensional virtual visualization device displays the operation condition of the data center in a three-dimensional virtual reality mode on the basis of the existing resource management system database, so that the visual management and the accurate positioning of the physical position of the server device are realized, and the monitoring and alarming data are displayed in real time by the three-dimensional virtual reality mode through visual display of auxiliary facilities such as machine room floors, equipment areas, equipment installation and deployment conditions, power environments and the like.
Three-dimensional visual equipment is mostly not detailed enough in the computer lab of enterprise, because data management intermediate process has a large amount of manual intervention, and work efficiency is limited, and the possibility that data takes place the mistake also can increase manyfold, and information quality can't guarantee, causes the input of invalid information easily, increases system's burden, and fault location is quick accurate inadequately, influences the processing speed.
Disclosure of Invention
The invention provides a fault early warning system and a fault early warning method for three-dimensional visualization equipment, which solve the problems in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
a three-dimensional visual equipment fault early warning system comprises a monitoring module, a data acquisition device, a central processing unit, a data analysis module and an operation and maintenance management platform, wherein the data acquisition device transmits data to the data analysis module through the central processing unit, the monitoring module is used for monitoring a host, a server and a circuit module, the data acquisition device is connected with the monitoring module, the monitoring module comprises the number of floors and the serial number of a machine room and is synchronously transmitted during acquisition, the switch of the central processing unit is controlled by a wireless wake-up circuit, the data analysis module analyzes and manages the data and is provided with a networking database, the data analysis module transmits the data to a fault removal module at one side, the fault removal module is connected with an early warning unit and a data cleaning unit and is classified into an effective data unit and an ineffective data unit after analysis, the data in the effective data unit is directly connected with the operation and maintenance management platform through a network, the login mode of the operation and maintenance management platform is divided into operation and maintenance personnel login and enterprise login, and the invalid data unit is connected with the data cleaning unit.
Preferably, the monitoring module is mounted on a wall in the machine room.
Preferably, the operation and maintenance management platform is a management platform for enterprise operation and maintenance, is safe and reliable, uses a real-name authentication login mode, enables the interconnection equipment to easily and safely interact with operation and maintenance data and other data, supports large-capacity data transmission, and internally comprises an operation and maintenance database.
Preferably, the early warning unit is divided into multi-level early warning signals.
Preferably, the enterprise login and operation and maintenance personnel login modes are both suitable for the APP on the mobile terminal.
Preferably, the early warning method comprises the following steps:
s1, the monitoring module records the data of the server and the host within twenty-four hours, and the condition of the circuit module between the host and the server is also monitored;
s2, the data collected by the data collection device is transmitted to the data analysis module through the central processing unit, and the server, the host and the circuit module are matched and analyzed;
s3, the data analysis module classifies and divides data into an effective data unit and an invalid data unit while transmitting the data to the fault elimination module, if the fault elimination module detects fault data, the fault elimination module sends the fault data to the early warning unit for early warning, and if the data is normal, the fault elimination module sends the fault data to the data cleaning unit for deep cleaning;
s4, directly releasing the data in the effective data unit on the operation and maintenance management platform, and sending the ineffective data unit to the data cleaning unit for deep cleaning;
and S5, enabling the enterprise to enter the platform in an enterprise login mode, and enabling special operation and maintenance personnel to enter the platform in an operation and maintenance personnel login mode to sort the data.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the monitoring module connected with the data acquisition unit is used for monitoring and acquiring data of the host, the server and the circuit module, so that the coverage range of visual operation and maintenance data is greatly increased, the positioning is accurate and rapid after fault early warning, and the subsequent processing is convenient;
2. according to the invention, invalid data can be prevented from being issued on the operation and maintenance management platform through the analysis and management of the data, the quality of information required by operation and maintenance is ensured, the system load is reduced, and the operation and maintenance efficiency is improved;
3. according to the invention, the analysis and collection of fault generation data can be improved through the operation and maintenance management platform, so that the subsequent similar faults can be quickly solved, and the use effect is good.
The invention has the advantages of wide monitoring data range, accurate fault positioning, high operation and maintenance efficiency, capability of collecting and analyzing fault data, quick solution when similar faults occur subsequently, and good use effect.
Drawings
Fig. 1 is a schematic block diagram of an overall structure of a three-dimensional visualization device fault early warning method provided by the invention;
fig. 2 is a schematic block diagram of a structure of an operation and maintenance management platform in the three-dimensional visualization device fault early warning method provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-2, a three-dimensional visual equipment failure early warning system comprises a monitoring module, a data acquisition device, a central processing unit, a data analysis module and an operation and maintenance management platform, wherein the data acquisition device transmits data to the data analysis module through the central processing unit, the monitoring module is used for monitoring a host, a server and a circuit module, the data acquisition device is connected with the monitoring module, the monitoring module comprises the number of floors and the serial number of a machine room and is synchronously transmitted during acquisition, the switch of the central processing unit is controlled by a wireless wake-up circuit, the data analysis module analyzes and manages the data and is provided with a networking database, the data analysis module transmits the data to a failure removal module, the failure removal module is connected with an early warning unit and a data cleaning unit, and the data are classified into an effective data unit and an ineffective data unit after analysis, the data in the valid data unit is directly connected with the operation and maintenance management platform through a network, the login mode of the operation and maintenance management platform is divided into operation and maintenance personnel login and enterprise login, and the invalid data unit is connected with the data cleaning unit.
The monitoring module is installed on the wall in the machine room, the operation and maintenance management platform is a management platform for enterprise operation and maintenance, safety and reliability are achieved, a real-name authentication login mode is used, interconnection equipment can be easily and safely interacted with operation and maintenance data and other data, large-capacity data transmission is supported, an operation and maintenance database early warning unit is arranged inside, the operation and maintenance database early warning unit is divided into multi-level early warning signals, the enterprise login and operation and maintenance personnel login modes are all suitable for APP data comparison on the mobile terminal, and the detection unit sends the depth analysis result of invalid data to platform maintenance personnel through the operation and maintenance management platform.
The early warning method comprises the following steps:
s1, the monitoring module records the data of the server and the host within twenty-four hours, and the condition of the circuit module between the host and the server is also monitored;
s2, the data collected by the data collection device is transmitted to the data analysis module through the central processing unit, and the server, the host and the circuit module are matched and analyzed;
s3, the data analysis module classifies and divides data into an effective data unit and an invalid data unit while transmitting the data to the fault elimination module, if the fault elimination module detects fault data, the fault elimination module sends the fault data to the early warning unit for early warning, and if the data is normal, the fault elimination module sends the fault data to the data cleaning unit for deep cleaning;
s4, directly releasing the data in the effective data unit on the operation and maintenance management platform, and sending the ineffective data unit to the data cleaning unit for deep cleaning;
and S5, enabling the enterprise to enter the platform in an enterprise login mode, and enabling special operation and maintenance personnel to enter the platform in an operation and maintenance personnel login mode to sort the data.
The working principle is as follows: the monitoring module records the data of the server and the host within twenty-four hours, the condition of a circuit module between the host and the server is also monitored, the monitoring module serves the data acquisition device, the data acquired by the data acquisition device is transmitted to the data analysis module through the central processing unit, the server, the host and the circuit module are matched and analyzed, the accuracy degree is high, the positioning is rapid, the classification management is carried out after the data analysis is completed, the data analysis module classifies and divides the data into an effective data unit and an invalid data unit while transmitting the data to the fault elimination module, if the fault elimination module detects fault data, the data are sent to the early warning unit for early warning, if the data are normal, the data are sent to the data cleaning unit for deep cleaning, the smoothness of the system is ensured, the data in the effective data units are directly issued on an operation and maintenance management platform, and enterprises enter the platform in an enterprise login mode, the login process needs real person authentication, a special operation and maintenance person enters the platform in a login mode of the operation and maintenance person to arrange data, the data in the invalid data unit also enters the data cleaning unit to be deleted in time, and system burden is avoided.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. A three-dimensional visual equipment fault early warning system comprises a monitoring module, a data acquisition device, a central processing unit, a data analysis module and an operation and maintenance management platform, and is characterized in that the data acquisition device transmits data to the data analysis module through the central processing unit, the monitoring module is used for monitoring a host, a server and a circuit module, the data acquisition device is connected with the monitoring module, the monitoring module comprises the floor number and the machine room number and is synchronously transmitted during acquisition, the switch of the central processing unit is controlled by a wireless wake-up circuit, the data analysis module analyzes and manages the data and is provided with a networking database, the data analysis module transmits the data to a fault removal module, the fault removal module is connected with an early warning unit and a data cleaning unit, and the data are classified into an effective data unit and an invalid data unit after analysis, the data in the effective data unit is directly connected with the operation and maintenance management platform through a network, the login mode of the operation and maintenance management platform is divided into operation and maintenance personnel login and enterprise login, and the invalid data unit is connected with the data cleaning unit.
2. The system of claim 1, wherein the monitoring module is installed on a wall in a machine room.
3. The system of claim 1, wherein the operation and maintenance management platform is a management platform for enterprise operation and maintenance, and is secure and reliable, and uses a real-name authentication login method, so that the interconnection device can easily and safely interact with operation and maintenance data and other data, and support large-capacity data transmission, and the operation and maintenance data base is included inside the system.
4. The system of claim 1, wherein the early warning unit is divided into multi-level early warning signals.
5. The three-dimensional visualization device fault early warning system as claimed in claim 1, wherein the enterprise login and operation and maintenance personnel login modes are both applicable to APPs on mobile terminals.
6. The early warning method of the three-dimensional visualization device fault early warning system as recited in claim 1, comprising the steps of:
s1, the monitoring module records the data of the server and the host within twenty-four hours, and the condition of the circuit module between the host and the server is also monitored;
s2, the data collected by the data collection device is transmitted to the data analysis module through the central processing unit, and the server, the host and the circuit module are matched and analyzed;
s3, the data analysis module classifies and divides data into an effective data unit and an invalid data unit while transmitting the data to the fault elimination module, if the fault elimination module detects fault data, the fault elimination module sends the fault data to the early warning unit for early warning, and if the data is normal, the fault elimination module sends the fault data to the data cleaning unit for deep cleaning;
s4, directly releasing the data in the effective data unit on the operation and maintenance management platform, and sending the ineffective data unit to the data cleaning unit for deep cleaning;
and S5, enabling the enterprise to enter the platform in an enterprise login mode, and enabling special operation and maintenance personnel to enter the platform in an operation and maintenance personnel login mode to sort the data.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911311269.0A CN111124823A (en) | 2019-12-18 | 2019-12-18 | Fault early warning system and method for three-dimensional visualization equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911311269.0A CN111124823A (en) | 2019-12-18 | 2019-12-18 | Fault early warning system and method for three-dimensional visualization equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111124823A true CN111124823A (en) | 2020-05-08 |
Family
ID=70499781
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201911311269.0A Pending CN111124823A (en) | 2019-12-18 | 2019-12-18 | Fault early warning system and method for three-dimensional visualization equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111124823A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112887370A (en) * | 2021-01-12 | 2021-06-01 | 南方电网数字电网研究院有限公司 | Early warning system suitable for electric power operation and maintenance information safety monitoring |
CN113472592A (en) * | 2021-07-19 | 2021-10-01 | 国网河北省电力有限公司邢台供电分公司 | Equipment distribution network management method, system and device |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108683565A (en) * | 2018-05-22 | 2018-10-19 | 珠海爱付科技有限公司 | A kind of data processing system and method based on narrowband Internet of Things |
US20190050422A1 (en) * | 2015-12-09 | 2019-02-14 | Shimadzu Corporation | Analysis information management system |
CN109768889A (en) * | 2019-01-16 | 2019-05-17 | 高正民 | A kind of visualization safety management wisdom operation platform |
CN110334106A (en) * | 2019-05-06 | 2019-10-15 | 深圳供电局有限公司 | A kind of O&M accident analysis method for early warning based on big data analysis |
-
2019
- 2019-12-18 CN CN201911311269.0A patent/CN111124823A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20190050422A1 (en) * | 2015-12-09 | 2019-02-14 | Shimadzu Corporation | Analysis information management system |
CN108683565A (en) * | 2018-05-22 | 2018-10-19 | 珠海爱付科技有限公司 | A kind of data processing system and method based on narrowband Internet of Things |
CN109768889A (en) * | 2019-01-16 | 2019-05-17 | 高正民 | A kind of visualization safety management wisdom operation platform |
CN110334106A (en) * | 2019-05-06 | 2019-10-15 | 深圳供电局有限公司 | A kind of O&M accident analysis method for early warning based on big data analysis |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112887370A (en) * | 2021-01-12 | 2021-06-01 | 南方电网数字电网研究院有限公司 | Early warning system suitable for electric power operation and maintenance information safety monitoring |
CN113472592A (en) * | 2021-07-19 | 2021-10-01 | 国网河北省电力有限公司邢台供电分公司 | Equipment distribution network management method, system and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN101894595B (en) | Fault detection method applied to nuclear power plant system | |
CN105897925A (en) | Mobile remote electric power monitoring system based on 4G network and monitoring method | |
CN109240126B (en) | Distributed application service monitoring system and method with analog operation function | |
CN101846999A (en) | Monitoring method of high speed comprehensive detection train detection equipment and device and system thereof | |
CN203241783U (en) | Cathodic protection remote management system | |
CN105785946B (en) | Computer room ring control integration monitors platform | |
CN109410525A (en) | A kind of community in urban areas flood monitor device based on power distribution network | |
CN111124823A (en) | Fault early warning system and method for three-dimensional visualization equipment | |
CN110807460A (en) | Transformer substation intelligent patrol system based on image recognition and application method thereof | |
CN203231813U (en) | Remote monitoring and fault diagnosis system of vibration | |
CN106302567A (en) | A kind of blower fan pylon remote real time monitoring system and method | |
CN110601066A (en) | Transmission line safety monitoring management system | |
CN110730234A (en) | Electrical fire monitoring system and intelligent early warning analysis method thereof | |
CN112859795A (en) | Safety data acquisition and management method and system for oil and gas equipment | |
CN202404705U (en) | Electric fire monitoring system based on master-slave duplex bus communication | |
CN109785557B (en) | Intelligent power optical cable anti-external loss monitoring and early warning system and monitoring and early warning method thereof | |
CN103234520A (en) | Controller area network (CAN) bus-based settlement deformation monitoring system | |
CN110844732A (en) | Intelligent monitoring management system for elevator fault testing | |
CN202661863U (en) | Remote monitoring system for reliability test | |
CN201774553U (en) | Monitoring device and system comprehensively detecting train detection equipment at high speed | |
CN104485991A (en) | Optical module fault automatic alarm method and system | |
CN202265280U (en) | Information acquisition and fire protection linkage alarming system for elevator | |
CN205151415U (en) | Intelligence elevator system | |
CN204330009U (en) | Based on the cable shaft status safety monitoring system of Internet of Things and GIS | |
CN105449870A (en) | Online detection and fault diagnosis system for power grid equipment |
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 | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200508 |