CN113408888A - Intelligent monitoring system of hydraulic metal structure equipment based on cloud platform - Google Patents

Intelligent monitoring system of hydraulic metal structure equipment based on cloud platform Download PDF

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Publication number
CN113408888A
CN113408888A CN202110665125.6A CN202110665125A CN113408888A CN 113408888 A CN113408888 A CN 113408888A CN 202110665125 A CN202110665125 A CN 202110665125A CN 113408888 A CN113408888 A CN 113408888A
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metal structure
data
structure equipment
hydraulic metal
health state
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陈亚平
叶志敏
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Shenzhen Yuexing Water Technology Co ltd
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Shenzhen Yuexing Water Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395Quality analysis or management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

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Abstract

The invention discloses a hydraulic metal structure equipment intelligent monitoring system based on a cloud platform, which comprises: a sensor group; a cloud server; a data analysis and evaluation module; and a decision management module. The mass data acquired by the data acquisition module of the sensor group is transmitted to the cloud server, and then the data is stored, analyzed and mined by the data analysis and evaluation module, so that information resources can be comprehensively shared and integrated, the information resources are displayed on a mobile phone or PC (personal computer) end user interface of the decision management module and are stored by the storage module, feedback is given to workers at the first time, prediction evaluation is given, and the purposes of real-time monitoring and maintenance are achieved.

Description

Intelligent monitoring system of hydraulic metal structure equipment based on cloud platform
Technical Field
The invention belongs to the technical field of monitoring, and particularly relates to an intelligent monitoring system for hydraulic metal structure equipment based on a cloud platform.
Background
The hydraulic metal structure mainly comprises a gate, a pressure steel pipe, a hoist, a water pump and the like, is an important component of hydraulic and hydroelectric engineering, and is responsible for control tasks of flood control, irrigation, water diversion and power generation, water supply, shipping and the like of the engineering. In view of the important role of hydraulic metal structures in water conservancy and hydropower engineering, the quality supervision and management work of the hydraulic metal structures is always emphasized by the nation. In recent years, in order to implement the deployment and the requirements of the simple political release, the release and management combination and the optimization service, the administrative approval system of the hydraulic metal structure related products is changed greatly, and with the rapid development of social economy and scientific technology, the technical standards, detection technology and online detection guarantee means related to the hydraulic metal structure are developed and improved to different degrees.
Shenzhen is coastal in the market, is greatly influenced by typhoons and sea tides, has serious pollution to water quality of rivers, is extremely unfavorable for the safe operation of hydraulic metal structures and electromechanical equipment due to the factors, and is not high in the quality and the installation level of the hydraulic metal structures and the electromechanical equipment products in the Shenzhen market for many years, so that the quality safety condition of the Shenzhen is not optimistic. At present, the quality detection means of hydraulic metal structure equipment is still in a static detection stage at home and abroad, no matter whether the detection is administrative permission detection, factory detection or safety detection, and the like, the static quality detection of the structure equipment under a design working condition or a specified working condition cannot achieve dynamic real-time quality condition detection, and cannot achieve the quality supervision detection effect of abnormal conditions of the equipment during operation, so that certain hidden dangers and disadvantages are brought to later-stage operation. The corresponding quality detection technology guidance is urgently needed to ensure the quality safety of the hydraulic metal structure and the electromechanical equipment which are built and built in Shenzhen city.
Disclosure of Invention
In view of the above, the invention provides an intelligent monitoring system for hydraulic metal structure equipment based on a cloud platform, which can solve the above problems.
The utility model provides a water conservancy project metallic structure equipment intelligent monitoring system based on cloud platform, includes:
the sensor group is arranged on the hydraulic metal structure equipment and is used for acquiring data of the hydraulic metal structure equipment in real time through a data acquisition module in the sensor group;
a cloud server for receiving data of the sensor cluster;
the data analysis and evaluation module is connected with the cloud server, analyzes the received data of the sensor group, extracts a health state characteristic value, processes the health state characteristic value to form a health state database, and the health state database is connected with the data analysis and evaluation module and used for comparing the health state characteristic values among the devices with the same structure to find out the fault information of the hydraulic metal structure device; and
and the decision management module is connected with the data analysis and evaluation module and used for displaying and storing the comparison result, and sending a control signal instruction through a control instruction module in the decision management module to control the hydraulic metal structure equipment to make a relative action.
Furthermore, the data acquisition module acquires the data of the hydraulic metal structure equipment in real time, wherein the data comprises operation condition data and operation parameter data.
Further, the data analysis and evaluation module analyzes the operation parameter data, extracts characteristic values closely related to the health state of the hydraulic metal structure equipment, normalizes and classifies the health characteristic values in the operation parameter data according to the operation condition data of the hydraulic metal structure equipment, establishes a mapping relation between current data characteristics and the health state, and obtains a quantitative result of the health state of the hydraulic metal structure equipment.
Further, a virtual hydraulic metal structure equipment model is established based on the quantitative information so as to simulate the change of the health state of each structure equipment along with time.
Further, the decision management module comprises a mobile phone or PC user interface and a storage module.
Compared with the prior art, the intelligent monitoring system for the hydraulic metal structure equipment based on the cloud platform transmits mass data acquired by the data acquisition module of the sensor group to the cloud server, stores, analyzes and excavates the data by the data analysis and evaluation module, so that information resources can be comprehensively shared and integrated, the information resources are displayed on a mobile phone or PC end user interface of the decision management module and are stored by the storage module, feedback is given to workers at the first time, prediction evaluation is given, and the purposes of real-time monitoring and maintenance are achieved.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent monitoring system for hydraulic metal structure equipment based on a cloud platform.
Detailed Description
Specific examples of the present invention will be described in further detail below. It should be understood that the description herein of embodiments of the invention is not intended to limit the scope of the invention.
As shown in fig. 1, the invention is a schematic structural diagram of an intelligent monitoring system for a hydraulic metal structure device based on a cloud platform. The utility model provides a water conservancy project metallic structure equipment intelligent monitoring system based on cloud platform, includes:
the sensor group is arranged on the hydraulic metal structure equipment and is used for acquiring data of the hydraulic metal structure equipment in real time through a data acquisition module in the sensor group;
a cloud server for receiving data of the sensor cluster;
the data analysis and evaluation module is connected with the cloud server, analyzes the received data of the sensor group, extracts a health state characteristic value, processes the health state characteristic value to form a health state database, and the health state database is connected with the data analysis and evaluation module and used for comparing the health state characteristic values among the devices with the same structure to find out the fault information of the hydraulic metal structure device; and
and the decision management module is connected with the data analysis and evaluation module and used for displaying and storing the comparison result, and sending a control signal instruction through a control instruction module in the decision management module to control the hydraulic metal structure equipment to make a relative action. The data acquisition module acquires data of the hydraulic metal structure equipment in real time, wherein the data comprises operation condition data and operation parameter data.
Screening out key monitoring points of hydraulic metal structure equipment, arranging a sensor group at the position of each key monitoring point, acquiring operation condition data and operation parameter data of the hydraulic metal structure equipment in real time by a data acquisition module in the sensor group, uploading the operation condition data and the operation parameter data to a cloud server through the sensor group, extracting a characteristic value closely related to the health state of the hydraulic metal structure equipment from the acquired operation parameters by using a data analysis and evaluation module, normalizing and classifying the health characteristic value in the operation parameter data according to the operation condition data of the hydraulic metal structure equipment, establishing a mapping relation between the current data characteristic and the health state, obtaining a quantitative result of the health state of the hydraulic metal structure equipment, establishing a virtual hydraulic metal structure equipment model based on the quantitative information, and simulating the change of the health state of each structure equipment along with time; mass data acquired by a data acquisition module of the sensor group are transmitted to a cloud server, and then the data are stored, analyzed and mined by a data analysis and evaluation module, so that information resources can be comprehensively shared and integrated, the information resources are displayed on a mobile phone or PC (personal computer) end user interface of a decision management module and are stored by a storage module, feedback is given to workers at the first time, prediction evaluation is given, and the purposes of real-time monitoring and maintenance are achieved.
Compared with the prior art, the intelligent monitoring system for the hydraulic metal structure equipment based on the cloud platform transmits mass data acquired by the data acquisition module of the sensor group to the cloud server, stores, analyzes and excavates the data by the data analysis and evaluation module, so that information resources can be comprehensively shared and integrated, the information resources are displayed on a mobile phone or PC end user interface of the decision management module and are stored by the storage module, feedback is given to workers at the first time, prediction evaluation is given, and the purposes of real-time monitoring and maintenance are achieved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the scope of the present invention, and any modifications, equivalents or improvements that are within the spirit of the present invention are intended to be covered by the following claims.

Claims (5)

1. The utility model provides a water conservancy project metallic structure equipment intelligent monitoring system based on cloud platform which characterized in that, water conservancy project metallic structure equipment intelligent monitoring system based on cloud platform includes:
the sensor group is arranged on the hydraulic metal structure equipment and is used for acquiring data of the hydraulic metal structure equipment in real time through a data acquisition module in the sensor group;
a cloud server for receiving data of the sensor cluster;
the data analysis and evaluation module is connected with the cloud server, analyzes the received data of the sensor group, extracts a health state characteristic value, processes the health state characteristic value to form a health state database, and the health state database is connected with the data analysis and evaluation module and used for comparing the health state characteristic values among the devices with the same structure to find out the fault information of the hydraulic metal structure device; and
and the decision management module is connected with the data analysis and evaluation module and used for displaying and storing the comparison result, and sending a control signal instruction through a control instruction module in the decision management module to control the hydraulic metal structure equipment to make a relative action.
2. The cloud platform-based intelligent monitoring system for hydraulic metal structure equipment as claimed in claim 1, wherein the data acquisition module acquires data of the hydraulic metal structure equipment in real time and comprises operation condition data and operation parameter data.
3. The cloud platform-based intelligent monitoring system for the hydraulic metal structure equipment as claimed in claim 2, wherein the data analysis and evaluation module analyzes the operation parameter data and extracts the characteristic values closely related to the health state of the hydraulic metal structure equipment, so as to normalize and classify the health characteristic values in the operation parameter data according to the operation condition data of the hydraulic metal structure equipment, establish the mapping relationship between the current data characteristics and the health state, and obtain the quantitative result of the health state of the hydraulic metal structure equipment.
4. The cloud platform-based intelligent monitoring system for hydraulic metal structure equipment as claimed in claim 3, wherein a virtual hydraulic metal structure equipment model is established based on quantitative information to simulate the change of the health state of each structure equipment with time.
5. The cloud platform-based intelligent monitoring system for water conservancy project metal structure equipment as claimed in claim 1, wherein the decision management module comprises a mobile phone or PC end user interface and a storage module.
CN202110665125.6A 2021-06-16 2021-06-16 Intelligent monitoring system of hydraulic metal structure equipment based on cloud platform Pending CN113408888A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114495459A (en) * 2022-01-14 2022-05-13 北京大学深圳研究生院 High-rise building structure health real-time monitoring method, device, equipment and medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105241684A (en) * 2015-11-17 2016-01-13 中国电建集团昆明勘测设计研究院有限公司 Hydraulic metal structural equipment real-time online monitoring system
CN206147322U (en) * 2016-10-27 2017-05-03 中国电建集团昆明勘测设计研究院有限公司 Power station metallic structure equipment intelligent control system
CN109977996A (en) * 2019-02-12 2019-07-05 华北水利水电大学 Hydro-structure operating state monitoring system based on Time Series Clustering fusion

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105241684A (en) * 2015-11-17 2016-01-13 中国电建集团昆明勘测设计研究院有限公司 Hydraulic metal structural equipment real-time online monitoring system
CN206147322U (en) * 2016-10-27 2017-05-03 中国电建集团昆明勘测设计研究院有限公司 Power station metallic structure equipment intelligent control system
CN109977996A (en) * 2019-02-12 2019-07-05 华北水利水电大学 Hydro-structure operating state monitoring system based on Time Series Clustering fusion

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114495459A (en) * 2022-01-14 2022-05-13 北京大学深圳研究生院 High-rise building structure health real-time monitoring method, device, equipment and medium

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