Data monitoring remote operation and maintenance platform of crane

Abstract

The invention relates to a crane data monitoring remote operation and maintenance platform which is divided into an equipment layer, a cloud platform layer and an application layer, the equipment layer comprises an on-site data collector, a PLC, an on-site display and a plurality of cranes, the on-site data collector collects mechanical data of each crane and transmits the mechanical data to the PLC in real time in a wired or wireless mode, and the on-site display displays the mechanical data. The PLC transmits the mechanical data to the field display and transmits the mechanical data and an analysis result to the cloud platform layer in real time for processing and storage, and an authorized user can access the data of the cloud platform through the application layer to judge the safe operation condition of the accessed crane. According to the invention, the data of the hoisting machinery is encrypted and transmitted to the cloud platform, an authorized user can monitor the running state and alarm fault information of the hoisting machinery in real time through a mobile phone App at any place and any time, and a non-fatal fault is remotely solved, so that the fault processing time is shortened and optimized, the communication cost is reduced, and the production and manufacturing of a product are improved.

Description

Technical Field

[0001] This invention relates to the field of crane safety monitoring and management technology, specifically to a remote operation and maintenance platform for crane data monitoring. Background Technology

[0002] In the wave of industrial globalization, intelligent and unmanned operations have become the mainstream, replacing manual labor. The stability of lifting machinery plays a crucial role in the economy of traditional industrial enterprises. However, lifting machinery has a complex structure and high maintenance costs; relying solely on manual maintenance is time-consuming and labor-intensive, failing to deliver favorable economic efficiency.

[0003] In today's industrial environment, the maintenance of lifting machinery must adopt new solutions to achieve higher efficiency, faster speed, and more comprehensiveness. Enterprises need to propose more comprehensive solutions to reduce maintenance costs and improve economic efficiency. Therefore, the topic of data monitoring and remote operation and maintenance platforms has been raised. Summary of the Invention

[0004] The purpose of this invention is to overcome the above-mentioned shortcomings and provide a remote operation and maintenance platform for crane data monitoring. This platform securely transmits crane machinery data to a cloud platform via encrypted transmission. Authorized users can monitor the operating status and alarm / fault information of the crane machinery in real time via a mobile app, anytime and anywhere. Through PC software, the crane machinery can remotely download and modify programs online, generate status reports, analyze crane machinery faults or alarms, and remotely resolve non-fatal faults, thereby shortening and optimizing fault handling time and communication costs, and improving product manufacturing.

[0005] The objective of this invention is achieved as follows: A remote operation and maintenance platform for crane data monitoring is divided into an equipment layer, a cloud platform layer, and an application layer. The equipment layer includes a field data acquisition unit, a PLC, a field display, and multiple cranes. The field data acquisition unit collects mechanical data from each crane and transmits it to the PLC in real time via wired or wireless means. The PLC transmits the mechanical data to the field display and simultaneously transmits the mechanical data and analysis results to the cloud platform layer for processing and storage. Authorized users can access the data on the cloud platform through the application layer to evaluate the safe operation of the connected cranes.

[0006] Preferably, the data collected by the field data acquisition device includes real-time data, historical data, and early warning data during equipment operation.

[0007] Preferably, the PLC uses edge computing to analyze the collected data, including trend analysis, structural analysis, and comprehensive statistics.

[0008] Preferably, the application layer includes a web page, a mobile app, and a touch terminal.

[0009] Preferably, authorized customers can access the cloud platform user interface via a webpage or APP to log in. After logging in, they can enter the function selection interface, where they can select functions including remote status monitoring, mechanical fault or alarm analysis, program modification, and program update.

[0010] Preferably, after modifying the program online, a status report will be generated to re-analyze the crane machinery faults or alarms.

[0011] Preferably, the mechanical fault or alarm analysis is divided into two situations: when a non-fatal fault occurs, it can be resolved remotely by locating the fault remotely and feeding the fault location back to the site for repair; when a fatal fault occurs, the fatal fault analysis results are reported to the crane equipment manufacturer, who then sends personnel to repair it, thereby shortening and optimizing the fault handling time and communication costs, and improving product manufacturing.

[0012] The beneficial effects of this invention are: The crane machinery data is securely transmitted to the cloud platform through encrypted transmission, and authorized users can monitor the operating status and alarm fault information of the crane machinery in real time through a mobile app anytime, anywhere. The PC software allows for remote downloading of crane programs, online modification of programs, generation of status reports, analysis of crane malfunctions or alarms, and remote resolution of non-fatal malfunctions, thereby shortening and optimizing fault handling time and communication costs, and improving product manufacturing. At the same time, it provides equipment feature data to the product development department, providing reliable data and insights for product performance upgrades and product design optimization; By accumulating relevant data and combining it with domain expertise, we can conduct big data analysis to uncover new business potential and create new sources of sustainable service revenue. Attached Figure Description

[0013] Figure 1 This is a schematic diagram of the framework of a remote operation and maintenance platform for data monitoring of a crane according to the present invention.

[0014] Figure 2 This is a flowchart illustrating the management operation of a remote operation and maintenance platform for monitoring and maintaining a crane, as described in this invention. Detailed Implementation

[0015] See Figure 1 and Figure 2This invention relates to a remote operation and maintenance platform for crane data monitoring, which is divided into an equipment layer, a cloud platform layer, and an application layer. The equipment layer includes a field data acquisition unit, a PLC, a field display, and multiple cranes. The field data acquisition unit collects mechanical data from each crane and transmits it to the PLC in real time via wired or wireless means. The PLC then transmits the mechanical data to the field display for on-site use.

[0016] The data collected by the field data acquisition device includes real-time data, historical data, and early warning data during equipment operation. The PLC uses edge computing to analyze the collected data, including trend analysis, structural analysis, and comprehensive statistics. The PLC transmits the mechanical data and analysis results to the cloud platform layer in real time for processing and storage. Authorized users can access the data on the cloud platform through the application layer to evaluate the safe operation of the connected crane and identify the key factors affecting the safe operation of the crane.

[0017] The application layer includes web pages, mobile apps, and touch terminals.

[0018] Authorized customers can access the cloud platform user interface via a webpage or APP to log in. After logging in, they can enter the function selection interface, where they can select functions such as remote status monitoring, mechanical fault or alarm analysis, program modification, and program updates.

[0019] Remote status monitoring can be achieved anytime, anywhere, through application-layer terminal devices.

[0020] After modifying the program online, a status report will be generated, allowing for a re-analysis of lifting machinery malfunctions or alarms.

[0021] The mechanical fault or alarm analysis is divided into two situations: when a non-fatal fault occurs, it can be resolved remotely by locating the fault remotely and feeding the fault location back to the site for repair; when a fatal fault occurs, the fatal fault analysis results are reported to the crane equipment manufacturer, who then sends personnel to repair it, thereby shortening and optimizing the fault handling time and communication costs, and improving product manufacturing.

[0022] The system has self-healing and watchdog mechanisms to ensure that the wireless connection is "always online" and to guarantee the stable operation of the remote operation and maintenance platform.

[0023] In addition to the above embodiments, the present invention also includes other embodiments. All technical solutions formed by equivalent transformation or equivalent substitution should fall within the protection scope of the claims of the present invention.

Claims

1. A remote operation and maintenance platform for data monitoring of cranes, characterized in that: It is divided into an equipment layer, a cloud platform layer, and an application layer. The equipment layer includes a field data acquisition unit, a PLC, a field display, and multiple cranes. The field data acquisition unit collects mechanical data from each crane and transmits it to the PLC in real time via wired or wireless means. The PLC transmits the mechanical data to the field display and simultaneously transmits the mechanical data and analysis results to the cloud platform layer for processing and storage. Authorized users can access the data on the cloud platform through the application layer to evaluate the safe operation of the connected cranes.

2. The remote operation and maintenance platform for crane data monitoring according to claim 1, characterized in that: The data collected by the on-site data acquisition device includes real-time data, historical data, and early warning data during equipment operation.

3. The remote operation and maintenance platform for crane data monitoring according to claim 1, characterized in that: The PLC uses edge computing to analyze the collected data, including trend analysis, structural analysis, and comprehensive statistics.

4. The remote operation and maintenance platform for crane data monitoring according to claim 1, characterized in that: The application layer includes web pages, mobile apps, and touch terminals.

5. The remote operation and maintenance platform for crane data monitoring according to claim 1, characterized in that: Authorized customers can access the cloud platform user interface via a webpage or APP to log in. After logging in, they can enter the function selection interface, where they can select functions including remote status monitoring, mechanical fault or alarm analysis, program modification, and program update.

6. A remote operation and maintenance platform for crane data monitoring according to claim 5, characterized in that: After modifying the program online, a status report will be generated, allowing for a re-analysis of lifting machinery malfunctions or alarms.

7. A remote operation and maintenance platform for crane data monitoring according to claim 5 or 6, characterized in that: The mechanical fault or alarm analysis is divided into two situations: when a non-fatal fault occurs, it can be resolved remotely by locating the fault remotely and feeding the fault location back to the site for repair; when a fatal fault occurs, the fatal fault analysis results are reported to the crane equipment manufacturer, who then sends personnel to repair it, thereby shortening and optimizing the fault handling time and communication costs, and improving product manufacturing.

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