NL2030740B1 - Passenger ropeway detection monitoring and health diagnosis system and method, medium and equipment - Google Patents

Passenger ropeway detection monitoring and health diagnosis system and method, medium and equipment Download PDF

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NL2030740B1
NL2030740B1 NL2030740A NL2030740A NL2030740B1 NL 2030740 B1 NL2030740 B1 NL 2030740B1 NL 2030740 A NL2030740 A NL 2030740A NL 2030740 A NL2030740 A NL 2030740A NL 2030740 B1 NL2030740 B1 NL 2030740B1
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monitoring
passenger
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inspection
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Ding Keqin
Liu Guansi
Li Na
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China Special Equipment Inspection & Res Inst
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Abstract

The invention belongs to the technical field of passenger ropeway detection monitoring and health diagnosis, and discloses a passenger ropeway detection monitoring and health diagnosis system and Inethod, mediuH1 and, equipment, and, the method, comprises the steps: collecting the basic parameters, maintenance data, operation state data and other data of a passenger ropeway through a detection monitoring data collection module; enabling the multi— source heterogeneous data storage module to carry out classified and partitioned storage on the monitoring data according to static state, quasi—static state and dynamic state; enabling the data cloud and distribution module to achieve entry and uploading of passenger ropeway detection data, uploading and diagnosis of monitoring data post, and regular distribution of data required by prediction and maintenance; enabling the data cloud service module to achieve real—time alarm. of a passenger transport cableway, health diagnosis and trend prediction of cableway parts and systems and cableway detection, monitoring and clustering analysis; and enabling the data visualization module to carry out passenger ropeway operation visualization display and dynamic visualization display of detection and monitoring data. According to the system and method, passenger ropeway detection, monitoring, operation and maintenance informatization management is improved.

Description

P1112 /NLpd
PASSENGER ROPEWAY DETECTION MONITORING AND HEALTH DIAGNOSIS SYSTEM
AND METHOD, MEDIUM AND EQUIPMENT
Technical field
The invention belongs to the technical field of passenger ropeway detection, monitoring and health diagnosis, and in partic- ular relates to a passenger ropeway detection, monitoring and health diagnosis system, method, medium and equipment.
Background technique
At present, the passenger ropeway is a transportation system in which a driving machine drives a steel wire rope to circulate to transport people. As an important transportation equipment for scenic spots and ski resorts, passenger ropeways are also develop- ing rapidly in quantity and intelligence. Statistics in 2019 show that my country has 1,089 passenger ropeways, and the number of equipment is increasing year by year. The degree of automation of passenger ropeways has gradually increased, and its equipment has become more and more complex.
The inspection and maintenance of passenger ropeways are ba- sically based on traditional methods such as routine inspections, monthly inspections, annual inspections, and key component inspec- tions. The inspection work is heavy, the inspection efficiency is not high, and the information maintenance methods are not high.
Maintenance and repairs are still regular repairs and fault re- pairs. The traditional inspection and maintenance modes are diffi- cult to ensure the long-term safe operation of the automated pas- senger ropeway. Regular maintenance not only consumes manpower but also wastes maintenance resources. Failure maintenance also has a certain lag. Often, faulty parts can only be repaired/replaced af- ter equipment failures or accidents, which brings safety hazards to equipment operations. Therefore, there is an urgent need for a new passenger ropeway detection, monitoring and health diagnosis method.
Through the above analysis, the problems and deficiencies in the prior art are: {(1)The inspection and maintenance of traditional passenger ropeways basically use daily inspection, monthly inspection, annu- al inspection and inspection of key components. The inspection work is heavy, the inspection efficiency is not high, and the maintenance information is not high. (2) The maintenance and repair of the equipment are still reg- ular maintenance and fault maintenance. The traditional inspection and maintenance mode is difficult to ensure the long-term safe op- eration of the automated passenger ropeway. (3)Regular maintenance not only consumes manpower but also wastes maintenance resources. Failure maintenance also has a cer- tain lag. Often, faulty parts can only be repaired/replaced after equipment failures or accidents, which brings safety hazards to equipment operations.
The difficulty of solving the above problems and defects is: 1.The passenger ropeway is composed of complex systems such as structure, mechanism, electronic control and hydraulic system.
Its failure modes are diverse, and the indicators of health diag- nosis are also diverse. The acquisition of indicators requires the overall planning of various components and various inspection, testing, and monitoring methods. 2.The characteristic data sources of passenger ropeways in- clude static, quasi-static and dynamic data. The collection and storage of various types of data and the later diagnosis call are complex in logic. 3.Which cloud service models are provided for different man- agement needs of passenger ropeways, such as which indicators need monitoring and early warning, which indicators need clustering statistics, how clustering statistics, which indicators need diag- nostic analysis, and how to use inspection, detection and monitor- ing data and results to evaluate passenger ropeways. The system conducts comprehensive evaluation and management.
The significance of solving the above problems and deficien- cies is: the existing patrol inspection data is mostly static his- torical data, and the data is out of touch with the maintenance and management of the equipment in the later period, and there is a lack of data association and trend analysis. The present inven- tion provides key technologies such as passenger ropeway inspec- tion, detection and monitoring data collection, storage, early warning, diagnosis and clustering, and provides solutions for the information and intelligent management of passenger ropeways, and at the same time, passenger ropeway detection and monitoring based on the Internet of Things The health diagnosis system can provide equipment health status diagnosis and damage/fault trend predic- tion. It can optimize the existing management mode of regular maintenance, regular maintenance, and regular replacement, and re- alize data-driven status maintenance and predictive maintenance of passenger ropeways. Provide data and technical support for the use and maintenance management of the company.
Summary of the invention
Aiming at the problems existing in the prior art, the present invention provides a passenger ropeway detection, monitoring and health diagnosis system, method, medium, and equipment.
The present invention is realized in this way, a passenger ropeway detection, monitoring and health diagnosis method. The passenger ropeway detection, monitoring and health diagnosis meth- od includes:
The detection and monitoring data collection module obtains the detection and monitoring data of the passenger ropeway;
The multi-source heterogeneous data storage module classifies and stores the detection and monitoring multi-scurce heterogeneous data;
Data uploading to the cloud and distribution module detects the remote upload of monitoring data to the cloud platform and the distribution of the data required by the platform to the data ser- vice module;
The data cloud service module realizes the cloud service functions of passenger ropeway real-time warning, health diagno- sis, trend prediction and cluster analysis;
The data visualization module uses data visualization hard- ware equipment to visually display the comprehensive information of the managed ropeway, display the real-time parameters and sta- tus of the monitored ropeway, display the health status of the monitored ropeway, and the results of detection and monitoring cluster analysis, and interact with on-site maintenance personnel
Feedback.
Further, the passenger ropeway detection and monitoring data includes static data, quasi-static data, and real-time dynamic da- ta; the static data collection is the collection of basic parame- ters of the passenger ropeway, and the quasi-static data collec- tion is the passenger ropeway inspection, inspection, and mainte- nance data collection. Real-time dynamic data collection is the monitoring data collection during the operation of passenger rope- way;
The basic parameters include name, type, transportation vol- ume, cable distance, slant length, height difference, support, power, rope diameter, car; the passenger ropeway inspection, in- spection and maintenance data includes daily inspection records, daily inspection and maintenance Maintenance records, monthly in- spection and maintenance records, annual inspection and mainte- nance records, wire rope inspection and maintenance records, rope grip inspection and maintenance records, ropeway inspection and maintenance records, operation records and key equipment tempera- ture monitoring records; the monitoring data Including operating parameters, wire rope monitoring, motor monitoring and bearing 5 monitoring;
The acquisition of the detection and monitoring data of the passenger ropeway includes: (1)Through the data configuration method, the basic infor- mation data of the passenger ropeway name, type, transportation volume, cable distance, slant length, height difference, support, power, rope diameter, and car are configured to the system plat- form; (2)Through the file import method, upload daily inspection records, monthly inspection records, annual inspection records, maintenance records, operation records, and temperature monitoring records related to passenger ropeway to the system platform, and store the data in the corresponding database; (3)Through real-time communication, the operating parameter data, wire rope monitoring data, motor monitoring data and bearing monitoring data are uploaded to the system platform in real time, and the data is stored in the corresponding database.
Further, the operating parameters include system voltage, system current, operating speed, main drive motor temperature, lu- bricating oil pump motor temperature, reducer temperature, hydrau- lic station temperature, and tensioning pressure; the wire rope monitoring data includes LF, LMA, and Location; The motor monitor- ing data includes acceleration of each monitoring point; the bear- ing detection data includes the effective value voltage of each monitoring point of the bearing;
The data uploading and distributing module includes data up- loading to the cloud platform and the cloud platform distributing the corresponding data to the corresponding function modules ac- cording to the data needs of the data service module; the data up- loading is divided into three types: entry, form upload, and real- time upload.
Further, the data entry, form upload, and real-time upload include: direct entry of the basic parameters of the passenger ropeway to the system platform, daily inspection records, daily inspection and maintenance records, monthly inspection and mainte- nance records, and annual inspection and maintenance records ,
Wire rope inspection and maintenance records, rope holding device inspection and maintenance records, ropeway inspection and mainte- nance records, operation records and key equipment temperature monitoring records data are uploaded and entered through the rec- ord sheet;
The real-time monitoring data of operating parameters, wire rope monitoring, motor monitoring and bearing monitoring are up- loaded in real time through the network through the post protocol; data distribution will distribute the detection and monitoring da- ta to the real-time early warning, health diagnosis, trend predic- tion and cluster analysis modules as needed.
Further, the cloud service function of real-time warning, health diagnosis, trend prediction and cluster analysis of passen- ger ropeway through the data cloud service module includes: (1l)Real-time early warning service: According to the real- time distributed operating parameters, wire rope monitoring data, motor monitoring data and bearing monitoring data, three-level early warning of the out-of-limit status of each data; real-time early warning service also includes: the operation of the data cloud service module according to the acquisition Parameters, wire rope monitoring data, motor monitoring data, bearing monitoring data are judged in real time. When the corresponding parameter threshold is exceeded, the system platform will issue a status warning, prompting the warning index and current value; when the parameter value is lower than the threshold, the warning status will be automatically eliminated; (2)Health diagnosis service: based on spot inspection, maintenance, inspection and health monitoring data, respectively, on standby oil production generators, control systems, reducers, cardan shafts, working brakes, emergency brakes, driving wheel bearings, winding wheel bearings, and chain couplings The key com- ponents of the tensioner, the tensioning trolley, the brake hy- draulic system and the tensioning hydraulic system are graded and diagnosed, and then the passenger ropeway is comprehensively diag- nosed based on the diagnosis results of each component; the diag- nosis results are divided into: healthy: good condition can con- tinue to run, value 1 ; Sub-health: if there is a failure, it can continue to run, the value is 2; unhealthy: if there is a failure, the operation cannot be continued, the value is 3; for the passen- ger ropeway system, first determine whether there are unhealthy items in each evaluation index, and if there are unqualified items, the system is determined to be unhealthy. If there is no unhealthy item, use the fuzzy comprehensive evaluation method to comprehensively evaluate the passenger ropeway, the evaluation re- sult is:
Health: It is in good condition and can continue to run, the value is (0,1);
Sub-health: If there is a failure, it can continue to run, and the equipment can be repaired after it is out of service. The value is [1,2);
Unhealthy: If there is a failure, the operation cannot be continued, and the machine should be shut down for maintenance im- mediately, the value is [2,3];
Each evaluation index is scored by experts, and the weight is determined by a pairwise comparison judgment matrix. The weight of each evaluation index satisfies the following formula:
Hsystem=hl ‘wl+h2 -wZ2+..+hn ‘wn;
Among them, wi is the weight of each evaluation index, hi is the comprehensive evaluation value of each evaluation index, and
Hsystem is the comprehensive diagnosis result of the passenger ropeway system; (3)Trend prediction analysis: According to the real-time dis- tribution of operating parameters, wire rope monitoring data, mo- tor monitoring data and bearing monitoring data, predict the over- limit trend of each data; (4)Cluster analysis: Based on the detection and monitoring data, perform statistics on the operating status and operation and maintenance status of passenger ropeways, and perform cluster analysis based on the indicators of spot inspection components, spot inspection time, failure type, and failure frequency.
Further, the trend prediction in the step (3) further in- cludes: based on real-time monitoring data, based on prediction models such as time series models and gray prediction models, per- forming trend prediction on operating parameters, wire rope moni- toring indicators, motor monitoring indicators, and bearing moni- toring indicators, When the predicted trend exceeds the threshold of each monitoring index, the system generates a predictive warn- ing. The predictive warning includes the warning target and warn- ing parameters. When the potential safety hazard of the warning target is eliminated, the system warning trend resumes.
Further, the clustering analysis in the step (4) further in- cludes: clustering the passenger ropeway detection and monitoring data according to the indicators of check items, time, period, failure frequency, operation and load, overhaul, early warning, and health status ; The clustering results are displayed in the form of line graphs, histograms, pie charts, graphs, and radar charts.
Another object of the present invention is to provide a com- puter device that includes a memory and a processor, the memory stores a computer program, and when the computer program is exe- cuted by the processor, the processor executes the following step:
The detection and monitoring data collection module obtains the detection and monitoring data of the passenger ropeway;
The multi-source heterogeneous data storage module classifies and stores the detection and monitoring multi-source heterogeneous data;
Data uploading to the cloud and distribution module detects the remote upload of monitoring data to the cloud platform and the distribution of the data required by the platform to the data ser- vice module;
The data cloud service module realizes the cloud service functions of passenger ropeway real-time warning, health diagno- sis, trend prediction and cluster analysis;
The data visualization module uses data visualization hard- ware equipment to visually display the comprehensive information of the managed ropeway, display the real-time parameters and sta- tus of the monitored ropeway, display the health status of the monitored ropeway, and the results of detection and monitoring cluster analysis, and interact with on-site maintenance personnel
Feedback.
Another object of the present invention is to provide a com- puter-readable storage medium storing a computer program, and when the computer program is executed by a processor, the processor ex- ecutes the following steps:
The detection and monitoring data collection module obtains the detection and monitoring data of the passenger ropeway;
The multi-source heterogeneous data storage module classifies and stores the detection and monitoring multi-source heterogeneous data;
Data uploading to the cloud and distribution module detects the remote upload of monitoring data to the cloud platform and the distribution of the data required by the platform to the data ser- vice module;
The data cloud service module realizes the cloud service functions of passenger ropeway real-time warning, health diagno- sis, trend prediction and cluster analysis;
The data visualization module uses data visualization hard- ware equipment to visually display the comprehensive information of the managed ropeway, display the real-time parameters and sta- tus of the monitored ropeway, display the health status of the monitored ropeway, and the results of detection and monitoring cluster analysis, and interact with on-site maintenance personnel
Feedback.
Another object of the present invention is to provide a pas- senger ropeway detection, monitoring and health diagnosis system that implements the passenger ropeway detection, monitoring and health diagnosis method. The passenger ropeway detection, monitor- ing and health diagnosis system includes:
Detection and monitoring data collection module, multi-source heterogeneous data storage module, data clouding and distribution module, data cloud service module and data visualization module;
The detection and monitoring data collection module is used to collect basic information, daily inspections, daily inspec- tions, and operation and maintenance data of passenger ropeways, and to collect real-time data on the operation status of passenger ropeway electronic control, steel wire ropes, motors, and bearing components;
The multi-source heterogeneous data storage module is used to realize the classified storage of detection and monitoring multi- source heterogeneous data; the multi-source heterogeneous data storage module includes basic information data table, daily in- spection database, monthly inspection database, and annual inspec- tion database. Check database, maintenance database, operating status database, temperature monitoring database, operating param- eter database, wire rope monitoring database, motor monitoring da- tabase and bearing monitoring database;
Data uploading to the cloud and distribution module, used to detect the remote upload of monitoring data to the cloud platform and the distribution of the data required by the platform to the data service module;
Data cloud service module, used to realize the cloud service functions of passenger ropeway real-time warning, health diagno- sis, trend prediction and cluster analysis;
The data visualization module is used to visually display the comprehensive information of the managed ropeway through the data visualization hardware equipment, display the real-time parameters and status of the monitored ropeway, display the health status of the monitored ropeway and the detection and monitoring cluster analysis results; including the control computer and the matrix
Controller, split-screen control software, large display screen.
Another object of the present invention is to provide a meth- od for monitoring the status of a passenger ropeway. The method for monitoring the status of a passenger ropeway uses the passen- ger ropeway detection, monitoring and health diagnosis system.
Combining all the above technical solutions, the present in- vention has the advantages and positive effects: the passenger ropeway detection, monitoring and health diagnosis system, method,
medium, and equipment provided by the present invention use pas- senger ropeway detection and monitoring data, diagnosis and meas- urement models, and aggregation This kind of analysis method real- izes the comprehensive management, real-time warning, health diag- nosis and trend prediction of passenger ropeway, improves the in- formation management of passenger ropeway detection, monitoring, operation and maintenance, and overcomes the shortcomings of pas- senger ropeway existing inspection, detection and maintenance man- agement.
Brief description of the drawings
In order to explain the technical solutions of the embodi- ments of the present invention more clearly, the following will briefly introduce the drawings needed in the embodiments of the present invention. Obviously, the drawings described below are on- ly some embodiments of the present invention. For those of ordi- nary skill in the art, other drawings can be obtained from these drawings without creative work.
Fig. 1 is a flowchart of a method for detecting, monitoring and health diagnosis of a passenger ropeway provided by an embodi- ment of the present invention.
Fig. 2 is a structural block diagram of a passenger ropeway detection, monitoring and health diagnosis system provided by an embodiment of the present invention;
In the figure: 1. Detection and monitoring data collection module; 2. Multi-source heterogeneous data storage module; 3. Data cloud and distribution module; 4. Data cloud service module; 5.
Data visualization module.
Fig. 3 is a schematic diagram of a passenger ropeway detec- tion, monitoring and health diagnosis system provided by an embod- iment of the present invention.
Detailed description of the embodiments
In order to make the objectives, technical solutions, and ad- vantages of the present invention clearer, the present invention will be further described in detail below in conjunction with em- bodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.
In view of the problems existing in the prior art, the pre- sent invention provides a passenger ropeway detection, monitoring and health diagnosis system, method, medium, and equipment. The present invention will be described in detail below with reference to the accompanying drawings.
As shown in Figure 1, the passenger ropeway detection, moni- toring and health diagnosis method provided by the embodiment of the present invention includes the following steps:
S101: Obtain passenger ropeway detection and monitoring data through the detection and monitoring data collection module; 8102, categorize and store the detection and monitoring mul- ti-source heterogeneous data through the multi-source heterogene- ous data storage module;
S103: Use the data uploading and distribution module to de- tect the remote upload of the monitoring data to the cloud plat- form and the distribution of the data required by the platform to the data service module;
S104: Realize the cloud service functions of passenger rope- way real-time warning, health diagnosis, trend prediction and cluster analysis through the data cloud service module;
S105: Use the data visualization hardware device to visually display the comprehensive information of the managed ropeway through the data visualization module, display the real-time pa-
rameters and status of the monitored ropeway, display the health status of the monitored ropeway, and the cluster analysis results of the detection and monitoring, and communicate with on-site maintenance People give interactive feedback.
As shown in Figure 2, the passenger ropeway detection, moni- toring and health diagnosis system provided by the embodiment of the present invention includes: a detection and monitoring data collection module 1, a multi-source heterogeneous data storage module 2, a data uploading and distribution module 3, a data cloud service module 4 and data visualization module 5;
Detection and monitoring data collection module 1, used to collect basic information, daily inspections, daily inspections, and operation and maintenance data of passenger ropeways, and to collect real-time data on the operation status of passenger rope- way electronic control, steel wire ropes, motors, and bearing com- ponents;
Multi-source heterogeneous data storage module 2, used to re- alize the classified storage of detection and monitoring multi- source heterogeneous data;
Data uploading and distribution module 3, used to detect the remote upload of monitoring data to the cloud platform and the distribution of the data required by the platform to the data ser- vice module;
Data cloud service module 4, used to realize the cloud ser- vice functions of passenger ropeway real-time warning, health di- agnosis, trend prediction and cluster analysis;
The data visualization module 5 is used to visually display the comprehensive information of the managed ropeway through the data visualization hardware device, display the real-time parame- ters and status of the monitored ropeway, display the health sta- tus of the monitored ropeway, and the detection and monitoring cluster analysis results.
The principle diagram of the passenger ropeway detection, monitoring and health diagnosis system provided by the embodiment of the present invention is shown in FIG. 3.
The present invention will be further described below in con- junction with embodiments.
Embodiment 1
The invention discloses a method and platform for passenger ropeway detection, monitoring and health diagnosis. The platform includes a detection and monitoring data collection module, which is used to collect basic information, daily inspections, daily in- spections, and operation and maintenance data of passenger rope- ways, and to sense and collect passenger transportation in real time. Ropeway electronic control, steel wire rope, motor, bearing and other components operating status data; multi-source heteroge- neous data storage module, used to classify and store multi-source heterogeneous data such as detection and monitoring; data cloud and distribution module; used for detection and monitoring data
Remote upload to the cloud platform and distribution of the data required by the platform to the data service module; data cloud service module for cloud services such as passenger ropeway real- time warning, health diagnosis, trend prediction and cluster anal- ysis; data visualization module for visual display The comprehen- sive information of the managed ropeway shows the real-time param- eters and status of the monitored ropeway, the health status of the monitored ropeway, and the detection and monitoring cluster analysis results. The present invention proposes a passenger rope- way detection monitoring and health diagnosis method and platform, which utilizes passenger ropeway detection and monitoring data, diagnosis and measurement models, and cluster analysis methods to realize comprehensive management, real-time early warning, health diagnosis and trend prediction of passenger ropeways, Improve the information management of passenger ropeway inspection, monitor-
ing, operation and maintenance, and overcome the shortcomings of passenger ropeway inspection, inspection, and maintenance manage- ment.
Embodiment 2
The passenger ropeway detection, monitoring and health diag- nosis method of the present invention includes:
Step 1: Obtain passenger ropeway data. The acquisition of passenger ropeway inspection and monitoring data includes the fol- lowing three aspects: (1)Through the data configuration method, configure the basic information data of passenger ropeway name, type, transportation volume, cable distance, inclined length, height difference, sup- port, power, rope diameter, car, etc. to the system platform; (2)Through the file import method, upload daily inspection records, monthly inspection records, annual inspection records, maintenance records, operation records, and temperature monitoring records related to passenger ropeway to the system platform, and store the data in the corresponding database; {3) Through real-time communication, the operating parameter data, wire rope monitoring data, motor monitoring data and bearing monitoring data are uploaded to the system platform in real time, and the data is stored in the corresponding database. Operating parameters include system voltage, system current, operating speed, main drive motor temperature, lubricating oil pump motor temperature, reducer temperature, hydraulic station temperature, tension pressure, etc.; wire rope monitoring data includes LF,
LMA, Location, etc.; motor monitoring data includes Acceleration of each monitoring point, etc.; bearing detection data includes the effective value voltage of each monitoring point of the bear- ing, etc.
Step 2: The data cloud service module makes real-time judg- ments based on the acquired operating parameters, wire rope moni- toring data, motor monitoring data, and bearing monitoring data.
When the corresponding parameter threshold is exceeded, the system platform will issue a status warning, prompting the warning index and current value. When the parameter value is lower than the threshold, the warning state is automatically eliminated.
The third step: health status diagnosis, for the standby oil production generator, control system, reducer, cardan shaft, work- ing brake, emergency brake, driving wheel bearing, winding wheel bearing, chain coupling, tension trolley, For objects such as brake hydraulic system and tensioning hydraulic system, perform health status diagnosis based on spot inspection and maintenance data, inspection data and health monitoring data, and further based on the diagnosis results of each state to perform fuzzy syn- thesis on the health status of the passenger ropeway system diag- nosis.
For each evaluation index, diagnosis is made based on spot inspection and maintenance data, inspection and testing data and health monitoring data. The diagnosis results are divided into:
Healthy (in good condition can continue to run, value 1)
Sub-health (can continue to run if there is a fault, the val- ue is 2)
Unhealthy (If there is a fault, the operation cannot be con- tinued, the value is 3)
For the passenger ropeway system, first judge whether there are unhealthy items in each evaluation index. If there are unqual- ified items, the system is judged to be unhealthy. If there are no unhealthy items, the comprehensive evaluation of the passenger ropeway is carried out using the fuzzy comprehensive evaluation method. The evaluation results are as follows:
Healthy (good condition can continue to run, value (0,1))
Sub-health {If there is a fault, it can continue to run, and the equipment will be repaired after it is out of service. Value [1,1.5))
Unhealthy (If there is a fault, the operation cannot be con- tinued, immediately shut down for maintenance, value [1.5,2])
Each evaluation index is scored by experts, and its weight is determined by a pairwise comparison judgment matrix. The weight of each evaluation index satisfies the following formula:
Hsystem=hl ‘wl+h2 :w2+.+hn ‘wn
Where: wi is the weight of each evaluation index, hi is the comprehensive evaluation value of each evaluation index, and Hsys- tem is the comprehensive diagnosis result of the passenger ropeway system.
Step 4: Trend prediction, based on real-time monitoring data, time series model, gray prediction model and other prediction mod- els to predict operating parameters, wire rope monitoring indica- tors, motor monitoring indicators, and bearing monitoring indica- tors. When the predicted trend exceeds the threshold of each moni- toring indicator When the system generates a predictive warning, the predictive warning includes the warning target and warning pa- rameters. When it is deemed that the potential safety hazard of the warning target is eliminated, the system warning trend re- sumes.
Step 5: Cluster analysis: Cluster the passenger ropeway de- tection and monitoring data according to indicators such as in- spection items, time, cycle, failure frequency, operation and load, maintenance, early warning, and health status. The cluster- ing results are displayed in the form of line graphs, histograms,
pie charts, graphs, and radar charts.
Step 6: Visual display. Through the computer, matrix control- ler, split-screen control software, large-screen display and other hardware devices, the comprehensive information, real-time parame- ters and status, health status, and detection and monitoring clus- ter analysis results of the managed ropeway will be dynamically displayed and displayed on the large screen. Interactive feedback with on-site maintenance personnel.
In the above-mentioned embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combina- tion thereof. When the use is implemented in the form of a comput- er program product in whole or in part, the computer program prod- uct includes one or more computer instructions. When the computer program instructions are loaded or executed on a computer, the processes or functions described in the embodiments of the present invention are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmit- ted from one computer-readable storage medium to another computer- readable storage medium. For example, the computer instructions may be transmitted from a website, computer, server, or data cen- ter. Transmission to another website site, computer, server or da- ta center via wired (such as coaxial cable, optical fiber, digital subscriber line (DSL) or wireless (such as infrared, wireless, mi- crowave, etc.)). The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center integrated with one or more available media. The usable medium may be a magnetic medi- um (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD}, or a semiconductor medium (for example, a solid state hard disk (SSD))}).
The above are only specific embodiments of the present inven- tion, but the scope of protection of the present invention is not limited thereto.
Any person skilled in the art within the tech- nical scope disclosed by the present invention will be within the spirit and principle of the present invention.
Any modifications, equivalent replacements and improvements made within the scope of protection shall be covered by the protection scope of the present invention.

Claims (10)

CONCLUSIESCONCLUSIONS 1. Werkwijze voor detectie, bewaking en gezondheidsdiagnose van passagierskabelbanen, met het kenmerk, dat de werkwijze voor de- tectie, bewaking en gezondheidsdiagnose van passagierskabelbanen omvat: de module voor detectie en het verzamelen van bewakingsgegevens verkrijgt de detectie- en bewakingsgegevens van de passagierska- belbaan; de opslagmodule voor heterogene gegevens uit meerdere bronnen, ook aangeduid als de heterogene multi-source data module, classifi- ceert en slaat de heterogene multi-source data van detectie en be- waking op; het uploaden van data naar de cloud en de distributiemodule detec- teert het op afstand uploaden van bewakingsgegevens naar het cloudplatform en de distributie van de door het platform vereiste gegevens naar de dataservicemodule; de datacloudservicemodule realiseert de cloudservicefuncties van realtime waarschuwing voor passagierskabelbanen, gezondheidsdiag- nose, trendvoorspelling en clusteranalyse; de datavisualisatiemodule maakt gebruik van hardwareapparatuur voor datavisualisatie om de uitgebreide informatie van de beheerde kabelbaan visueel weer te geven, de realtime parameters en status van de bewaakte kabelbaan weer te geven, de gezondheidsstatus van de bewaakte kabelbaan en de resultaten van de detectie- en bewa- kingscluster analyse weer te geven, en interactie te vertonen met on-site onderhoudspersoneel Feedback.A method for detecting, monitoring and health diagnosis of passenger cable cars, characterized in that the method for detecting, monitoring and health diagnosis of passenger cable cars comprises: the monitoring data detection and collection module obtains the detection and monitoring data of the passenger cable car; calling job; the heterogeneous data storage module from multiple sources, also referred to as the heterogeneous multi-source data module, classifies and stores the heterogeneous multi-source data of detection and monitoring; uploading data to the cloud and the distribution module detects the remote uploading of monitoring data to the cloud platform and the distribution of the data required by the platform to the data service module; the data cloud service module realizes the cloud service functions of real-time passenger ropeway warning, health diagnosis, trend prediction and cluster analysis; the data visualization module uses data visualization hardware equipment to visually display the comprehensive information of the managed cableway, display the real-time parameters and status of the monitored cableway, the health status of the monitored cableway, and the results of the detection and monitoring kings cluster analysis, and interact with on-site maintenance personnel Feedback. 2. Werkwijze voor detectie, bewaking en gezondheidsdiagnose van passagierskabelbanen volgens conclusie 1, waarbij de detectie- en bewakingsgegevens van de passagierskabelbaan statische gegevens, quasi-statische gegevens en realtime dynamische gegevens omvatten; waarbij de statische gegevensverzameling de basisparameterverzame- ling van de passagierskabelbaan is; waarbij de quasi-statische ge- gevensverzameling de inspectie van de passagierskabelbaan, verza- meling van inspectie en onderhoudsgegevens is, en de realtime dy-The method for detecting, monitoring and health diagnosis of passenger ropeways according to claim 1, wherein the passenger ropeway detection and monitoring data includes static data, quasi-static data and real-time dynamic data; wherein the static data set is the base parameter set of the passenger cableway; where the quasi-static data collection is the inspection of the passenger ropeway, collection of inspection and maintenance data, and the real-time dy- namische gegevensverzameling de monitoringgegevensverzameling tij- dens het gebruik van de passagier kabelbaan is; de basisparameters omvatten naam, type, transportvolume, kabelaf- stand, hellingslengte, hoogteverschil, ondersteuning, vermogen, kabeldiameter, gondel; de inspectie van de passagierskabelbaan, verzamelijng van inspectie- en onderhoudsgegevens omvatten dage- lijkse inspectieverslagen, dagelijkse inspectie en onderhoud, On- derhoudsverslagen, maandelijkse inspectie- en onderhoudsverslagen, Jaarlijkse inspectie- en onderhoudsverslagen, kabelinspectie- en onderhoudsverslagen, kabelgreepinspectie- en onderhoudsverslagen, kabelbaaninspectie en onderhoudsgegevens, bedrijfsgegevens en ge- gevens over de temperatuurbewaking van de belangrijkste appara- tuur; de bewakingsgegevens omvatten bedrijfsparameters, staalka- belbewaking, motorbewaking en lagerbewaking; De verwerving van de detectie- en bewakingsgegevens van de passa- gierskabelbaan omvat: (1) via de dataconfiguratiemethode worden de basisinformatiegege- vens van de passagierskabelbaannaam, het type, het transportvolu- me, de kabelafstand, de hellingslengte, het hoogteverschil, de on- dersteuning, het vermogen, de kabeldiameter en de gondel geconfi- gureerd voor het systeemplatform; (2) upload door middel van de bestandsimportmethode van de dage- lijkse inspectierecords, maandelijkse inspectierecords, jaarlijkse inspectierecords, onderhoudsrecords, bedieningsrecords en tempera- tuurbewakingsrecords met betrekking tot passagierskabelbaan naar het systeemplatform en het opslaan van de gegevens in de bijbeho- rende database; (3) door realtime communicatie worden de bedrijfsparametergege- vens, draadkabelbewakingsgegevens, motorbewakingsgegevens en la- gerbewakingsgegevens in realtime geüpload naar het systeemplatform en de gegevens worden opgeslagen in de bijbehorende database.namic data collection is the monitoring data collection during the use of the passenger ropeway; the basic parameters include name, type, transport volume, cable distance, ramp length, height difference, support, power, cable diameter, nacelle; the inspection of the passenger ropeway, collection of inspection and maintenance data include daily inspection reports, daily inspection and maintenance, maintenance records, monthly inspection and maintenance records, annual inspection and maintenance reports, rope inspection and maintenance records, rope grab inspection and maintenance records, ropeway inspection and maintenance data, operating data and temperature monitoring data of the most important equipment; the monitoring data includes operating parameters, wire rope monitoring, motor monitoring and bearing monitoring; The acquisition of the passenger ropeway detection and monitoring data includes: (1) through the data configuration method, the basic information data of the passenger ropeway name, type, transport volume, rope distance, slope length, height difference, support, power, cable diameter, and nacelle configured for the system platform; (2) uploading the daily inspection records, monthly inspection records, annual inspection records, maintenance records, operation records, and temperature monitoring records related to passenger ropeway to the system platform by the file import method, and storing the data in the corresponding database; (3) through real-time communication, the operating parameter data, wire rope monitoring data, motor monitoring data and bearing monitoring data are uploaded to the system platform in real time, and the data is stored in the corresponding database. 3. Werkwijze voor detectie, bewaking en gezondheidsdiagnose van passagierskabelbanen volgens conclusie 1, waarbij de bedrijfspara- meters systeemspanning, systeemstroom, bedrijfssnelheid, hoofdaan- drijfmotortemperatuur, smeeroliepompmotortemperatuur, reduceertem- peratuur, hydraulisch stationtemperatuur en spandruk omvatten; de bewakingsgegevens van de staalkabel omvatten LF, LMA en locatie; de motorbewakingsgegevens omvatten de versnelling van elk bewa- kingspunt; de lagerdetectiegegevens omvatten de effectieve waar- despanning van elk bewakingspunt van het lager; de module voor het uploaden en verspreiden van gegevens omvat het uploaden van gegevens naar het cloudplatform en het cloudplatform distribueert de overeenkomstige gegevens naar de overeenkomstige functiemodules volgens de gegevensbehoeften van de gegevensser- vicemodule; het uploaden van gegevens is onderverdeeld in drie ty- pen: invoer, formulierupload en realtime upload.The method of detecting, monitoring and health diagnosis of passenger aerial tramways according to claim 1, wherein the operating parameters include system voltage, system current, operating speed, main drive motor temperature, lubricating oil pump motor temperature, reducer temperature, hydraulic station temperature and span pressure; the wire rope monitoring data includes LF, LMA and location; the motor monitor data includes the acceleration of each monitor point; the bearing detection data includes the RMS voltage of each monitoring point of the bearing; the data uploading and distribution module includes uploading data to the cloud platform, and the cloud platform distributes the corresponding data to the corresponding function modules according to the data needs of the data service module; data upload is divided into three types: input, form upload, and real-time upload. 4. Werkwijze voor detectie, bewaking en gezondheidsdiagnose van passagierskabelbanen volgens conclusie 2, waarbij de gegevensin- voer, het uploaden van formulieren en het uploaden in realtime het volgende omvatten: directe invoer van de basisparameters van de kabelbaan voor passagiers naar het systeemplatform, dagelijkse in- spectiegegevens en Dagelijkse inspectie- en onderhoudsrecords, maandelijkse inspectie- en onderhoudsrecords, jaarlijkse inspec- tie- en onderhoudsrecords, staalkabelinspectie- en onderhoudsre- cords, kabelstropinspectie- en onderhoudsrecords, kabelbaaninspec- tie- en onderhoudsrecords, bedieningsrecords en belangrijke tempe- ratuurbewakingsrecords van de apparatuur. Gegevens doorgegeven; Recordsheet uploaden en invoeren; de realtime bewakingsgegevens van bedrijfsparameters, draadkabel- bewaking, motorbewaking en lagerbewaking worden in realtime geüp- load via het netwerk via het postprotocol; datadistributie distri- bueert, indien nodig, de detectie- en monitoringgegevens naar de realtime modules voor vroegtijdige waarschuwing, gezondheidsdiag- nose, trendvoorspelling en clusteranalyse.The method for detecting, monitoring and health diagnosis of passenger ropeways according to claim 2, wherein the data input, uploading of forms and uploading in real time include: direct input of the basic parameters of the passenger ropeway to the system platform, daily in - inspection data and Daily inspection and maintenance records, monthly inspection and maintenance records, annual inspection and maintenance records, wire rope inspection and maintenance records, rope sling inspection and maintenance records, ropeway inspection and maintenance records, operating records and key temperature monitoring records of the equipment. data passed on; Upload and enter record sheet; the real-time monitoring data of operating parameters, wire rope monitoring, motor monitoring and bearing monitoring are uploaded in real time through the network through the post protocol; data distribution distributes, if necessary, the detection and monitoring data to the real-time modules for early warning, health diagnosis, trend prediction and cluster analysis. 5. Werkwijze voor detectie, bewaking en gezondheidsdiagnose van passagierskabelbanen volgens conclusie 1, waarbij de cloudservice- functie van realtime vroegtijdige waarschuwing, gezondheidsdiagno- se, trendvoorspelling en clusteranalyse van passagierskabelbaan via de datacloudservicemodule omvat: (1) Realtime vroegtijdige waarschuwingsservice: volgens de real-The method of detecting, monitoring and health diagnosis of passenger cableway according to claim 1, wherein the cloud service function of real-time early warning, health diagnosis, trend prediction and cluster analysis of passenger cableway through the data cloud service module comprises: (1) Real-time early warning service: according to the real-time time gedistribueerde bedrijfsparameters, draadkabelbewakingsgege- vens, motorbewakingsgegevens en lagerbewakingsgegevens, vroegtij- dige waarschuwing op drie niveaus van de buiten de limiet vallende status van elke gegevens; realtime vroegtijdige waarschuwingsser- vice omvat ook: de werking van de datacloudservicemodule volgens de acquisitieparameters, staalkabelbewakingsgegevens, motorbewa- kingsgegevens, lagerbewakingsgegevens worden in realtime beoor- deeld, wanneer de overeenkomstige parameterdrempel wordt over- schreden, geeft het systeemplatform een statuswaarschuwing af, die de waarschuwingsindex en de huidige waarde oproept; wanneer de pa- rameterwaarde lager is dan de drempel, wordt de waarschuwingssta- tus automatisch geëlimineerd; (2) Gezondheidsdiagnoseservice: gebaseerd op respectievelijk plaatsgebonden inspectie-, onderhouds-, inspectie- en gezondheids- bewakingsgegevens op stand-by olieproductiegeneratoren, bestu- ringssystemen, verloopstukken, cardanas, werkremmen, noodremmen, aandrijfwiellagers, opwindwiellagers, en kettingkoppelingen; de belangrijkste componenten van de spanner, de spantrolley, het hy- draulische remsysteem en het hydraulische spansysteem worden be- oordeeld en gediagnosticeerd, en vervolgens wordt de passagierska- belbaan uitgebreid gediagnosticeerd op basis van de diagnoseresul- taten van elk onderdeel; de diagnoseresultaten zijn onderverdeeld in: gezond: goede conditie kan blijven lopen, waarde 1; sub-gezond: als er een storing is, kan deze blijven draaien, de waarde is 2; ongezond: als er een storing is, kan de bewerking niet worden voortgezet, de waarde is 3; bepaal voor het passagierskabelbaansysteem eerst of er ongezonde items zijn in elke evaluatie-index, en als er niet-gekwalificeerde items zijn, wordt bepaald dat het systeem ongezond is; als er geen ongezond item is, gebruik dan de fuzzy uitgebreide evaluatiemetho- de om de passagierskabelbaan volledig te evalueren, het evaluatie- resultaat is: Gezond: hij is in goede staat en kan blijven lopen, de waarde is (0,1); Sub-gezond: als er een storing is, kan deze blijven werken en kan de apparatuur worden gerepareerd nadat deze buiten dienst is ge- weest, de waarde is [1,2); Ongezond: als er een storing is, kan de bewerking niet worden voortgezet en moet de machine onmiddellijk worden stilgelegd voor onderhoud, de waarde is [2,3]; elke evaluatie-index wordt beoordeeld door experts en het gewicht wordt bepaald door een paarsgewijze vergelijkingsbeoordelingsma- trix, het gewicht van elke evaluatie-index voldoet aan de volgende formule: Hsystem=hl :wl+h2 -wZ+..+hn wn; hierin geldt dat: wi is het gewicht van elke evaluatie-index, hi is de uitgebreide evaluatiewaarde van elke evaluatie-index en Hsystem is het uitgebreide diagnoseresultaat van het passagierska- belbaansysteem; (3) Trendvoorspellingsanalyse: volgens de realtime distributie van bedrijfsparameters, draadkabelbewakingsgegevens, motorbewakingsge- gevens en lagerbewakingsgegevens, wordt de over de limietwaarde trend van elke gegevens voorspeld; (4) Clusteranalyse: voer op basis van de detectie- en monitoring- gegevens statistieken uit over de bedrijfsstatus en de bedrijfs- en onderhoudsstatus van passagierskabelbanen, en voer clusterana- lyses uit op basis van de indicatoren van plaatselijke inspectie- componenten, plaatselijke inspectietijd, storingstype en faalfre- quentie.time-distributed operating parameters, wire rope monitoring data, motor monitoring data and bearing monitoring data, three-level early warning of the out-of-limit status of each data; real-time early warning service also includes: the operation of the data cloud service module according to the acquisition parameters, wire rope monitoring data, motor monitoring data, bearing monitoring data are evaluated in real time, when the corresponding parameter threshold is exceeded, the system platform will issue a status warning, which will display the warning index and recalls the current value; when the parameter value is lower than the threshold, the warning status is automatically eliminated; (2) Health Diagnostic Service: based on site inspection, maintenance, inspection, and health monitoring data on standby oil production generators, control systems, reducers, cardan shaft, work brakes, emergency brakes, drive wheel bearings, winding wheel bearings, and chain links, respectively; the main components of the tensioner, the tension trolley, the hydraulic braking system and the hydraulic tensioning system are assessed and diagnosed, and then the passenger ropeway is comprehensively diagnosed based on the diagnosis results of each component; the diagnosis results are divided into: healthy: good condition can continue to walk, value 1; sub-healthy: if there is a failure, it can continue to run, the value is 2; unhealthy: if there is a failure, the operation cannot continue, the value is 3; for the passenger ropeway system, first determine whether there are unhealthy items in each evaluation index, and if there are unqualified items, it is determined that the system is unhealthy; if there is no unhealthy item, use the fuzzy comprehensive evaluation method to fully evaluate the passenger ropeway, the evaluation result is: Healthy: it is in good condition and can continue to run, the value is (0.1); Sub-healthy: if there is a failure, it can continue to operate and the equipment can be repaired after being out of service, the value is [1,2); Unhealthy: if there is a malfunction, the operation cannot continue, and the machine must be immediately shut down for maintenance, the value is [2,3]; each evaluation index is judged by experts and the weight is determined by a pairwise comparison evaluation matrix, the weight of each evaluation index conforms to the following formula: Hsystem=hl :wl+h2 -wZ+..+hn wn; where: wi is the weight of each evaluation index, hi is the extended evaluation value of each evaluation index, and Hsystem is the extended diagnostic result of the passenger ropeway system; (3) Trend prediction analysis: According to the real-time distribution of operating parameters, wire rope monitoring data, motor monitoring data and bearing monitoring data, the over limit value trend of each data is predicted; (4) Cluster analysis: Based on the detection and monitoring data, perform statistics on the operation status and operation and maintenance status of passenger cableways, and perform cluster analysis based on the indicators of local inspection components, local inspection time, failure type and failure frequency. 6. Werkwijze voor detectie, bewaking en gezondheidsdiagnose van passagierskabelbanen volgens conclusie 5, waarbij de trendvoor- spelling in stap (3) verder omvat: het koppelen van voorspellings- modellen gebaseerd op real time monitoringgegevens, gebaseerd op tijdreeksmodellen, grijze voorspellingsmodellen, enz.; bedrijfspa- rameters, indicatoren voor het bewaken van staalkabels, indicato- ren voor motorbewaking en indicatoren voor het bewaken van lagers worden gebruikt voor trendvoorspelling, wanneer de voorspelde trend de drempel van elke bewakingsindicator overschrijdt, gene- reert het systeem voorspellende waarschuwingen; Voorspellende waarschuwingen omvatten waarschuwingsdoelen en waarschuwingspara- meters; wanneer het veilig wordt geacht om waarschuwingsdoelen te elimineren, wanneer er een verborgen gevaar is, wordt de systeem- waarschuwingstrend hervat.The method for detection, monitoring and health diagnosis of passenger cableways according to claim 5, wherein the trend prediction in step (3) further comprises: linking prediction models based on real time monitoring data, based on time series models, gray prediction models, etc.; operating parameters, wire rope monitoring indicators, motor monitoring indicators and bearing monitoring indicators are used for trend prediction, when the predicted trend exceeds the threshold of each monitoring indicator, the system generates predictive alerts; Predictive alerts include alert targets and alert parameters; when it is considered safe to eliminate alert targets, when there is a hidden threat, the system alert trend resumes. 7. Werkwijze voor detectie, bewaking en gezondheidsdiagnose van passagierskabelbanen volgens conclusie 5, waarbij de clusteranaly- se in stap (4) verder omvat: het detecteren en bewaken van de passagierskabelbaan volgens de inspectie-items, tijd, periode; de indicatoren van storingsfre- quentie, bediening en belasting, revisie, vroegtijdige waarschu- wing en gezondheidsstatus zijn geclusterd; de clusterresultaten worden weergegeven in de vorm van lijngrafieken, histogrammen, cirkeldiagrammen, grafieken en radardiagrammen.The method of detecting, monitoring and health diagnosis of passenger ropeways according to claim 5, wherein the cluster analysis in step (4) further comprises: detecting and monitoring the passenger ropeway according to the inspection items, time, period; the indicators of failure frequency, operation and load, overhaul, early warning and health status are clustered; the cluster results are displayed in the form of line graphs, histograms, pie charts, graphs and radar charts. 8. Computerapparaat, met het kenmerk, dat het computerapparaat een geheugen en een processor omvat, waarbij in het geheugen een com- puterprogramma is opgeslagen, en wanneer het computerprogramma door de processor wordt uitgevoerd, de processor de volgende stap- pen uitvoert: de module voor het verzamelen van detectie- en bewakingsgegevens verkrijgt de detectie- en bewakingsgegevens van de passagierska- belbaan; de multi-source heterogene data-opslagmodule classificeert en slaat de detectie en monitoring van multi-source heterogene data op; het uploaden van gegevens naar de cloud- en distributiemodule de- tecteert het op afstand uploaden van monitoringgegevens naar het cloudplatform en de distributie van de door het platform vereiste gegevens naar de dataservicemodule; de datacloudservicemodule realiseert de cloudservicefuncties van realtime waarschuwing voor passagierskabelbanen, gezondheidsdiag- nose, trendvoorspelling en clusteranalyse; de datavisualisatiemodule maakt gebruik van hardwareapparatuur voor datavisualisatie om de uitgebreide informatie van de beheerde kabelbaan visueel weer te geven, de realtime parameters en status van de bewaakte kabelbaan weer te geven, de gezondheidsstatus van de bewaakte kabelbaan weer te geven aslmede de resultaten van de detectie- en bewakingscluster analyse, en om interactie te ver- schaffen met on-site onderhoudspersoneel Feedback.8. A computer device, characterized in that the computer device comprises a memory and a processor, the memory of which stores a computer program, and when the computer program is executed by the processor, the processor performs the following steps: the module to collect detection and surveillance data, obtains detection and surveillance data from the passenger cableway; the multi-source heterogeneous data storage module classifies and stores the detection and monitoring of multi-source heterogeneous data; uploading data to the cloud and distribution module detects the remote uploading of monitoring data to the cloud platform and the distribution of the data required by the platform to the data service module; the data cloud service module realizes the cloud service functions of real-time passenger ropeway warning, health diagnosis, trend prediction and cluster analysis; the data visualization module uses data visualization hardware equipment to visually display the comprehensive information of the managed cableway, display the real-time parameters and status of the monitored cableway, display the health status of the monitored cableway as well as the results of the detection and and monitoring cluster analysis, and to provide interaction with on-site maintenance personnel Feedback. 9. Door een computer leesbaar opslagmedium waarop een computerpro- gramma is opgeslagen, waarbij wanneer het computerprogramma wordt uitgevoerd door een processor, de processor de volgende stappen uitvoert: de module voor het verzamelen van detectie- en bewakingsgegevens verkrijgt de detectie- en bewakingsgegevens van de passagierska- belbaan; de multi-source heterogene data-opslagmodule classificeert en slaat de detectie en monitoring van multi-source heterogene data op; het uploaden van gegevens naar de cloud- en distributiemodule de- tecteert het op afstand uploaden van monitoringgegevens naar het cloudplatform en de distributie van de door het platform vereiste gegevens naar de dataservicemodule; de datacloudservicemodule realiseert de cloudservicefuncties van realtime waarschuwing voor passagierskabelbanen, gezondheidsdiag- nose, trendvoorspelling en clusteranalyse; de datavisualisatiemodule maakt gebruik van hardwareapparatuur voor datavisualisatie om de uitgebreide informatie van de beheerde kabelbaan visueel weer te geven, de realtime parameters en status van de bewaakte kabelbaan weer te geven, de gezondheidsstatus van de bewaakte kabelbaan weer te geven alsmede de resultaten van de detectie- en bewakingscluster analyse, en om interactie te ver- schaffen met on-site onderhoudspersoneel Feedback.9. Computer-readable storage medium on which a computer program is stored, where when the computer program is executed by a processor, the processor performs the following steps: The detection and monitoring data collection module obtains the detection and monitoring data from the passenger funicular; the multi-source heterogeneous data storage module classifies and stores the detection and monitoring of multi-source heterogeneous data; uploading data to the cloud and distribution module detects the remote uploading of monitoring data to the cloud platform and the distribution of the data required by the platform to the data service module; the data cloud service module realizes the cloud service functions of real-time passenger ropeway warning, health diagnosis, trend prediction and cluster analysis; the data visualization module uses data visualization hardware equipment to visually display the comprehensive information of the managed cableway, display the real-time parameters and status of the monitored cableway, display the health status of the monitored cableway, and the results of the detection and and monitoring cluster analysis, and to provide interaction with on-site maintenance personnel Feedback. 10. Systeem voor detectie, bewaking en gezondheidsdiagnose van een passagierskabelbaan voor het implementeren van de werkwijze voor detectie, bewaking en gezondheidsdiagnose van passagierskabelbanen volgens een van de conclusies 1 tot en met 7, waarbij het systeem voor detectie, bewaking en gezondheidsdiagnose van een passagiers- kabelbaan omvat: Een module voor het verzamelen van gegevens van detectie en moni- toring, module voor heterogene gegevensopslag met meerdere bron-A passenger cableway detection, monitoring and health diagnosis system for implementing the passenger cableway detection, monitoring and health diagnosis method according to any one of claims 1 to 7, wherein the passenger cableway detection, monitoring and health diagnosis system comprises: cableway includes: A detection and monitoring data collection module, multi-source heterogeneous data storage module nen, module voor het verzenden van gegevens naar de datacloud en -nen, module for sending data to the data cloud and - distributie, module voor gegevenscloudservice en module voor gege-distribution, data cloud service module and data cloud service module vensvisualisatie;window visualization; waarbij de module voor het verzamelen van detectie- en bewakings- gegevens wordt gebruikt om basisinformatie, dagelijkse inspecties,where the detection and monitoring data collection module is used to collect basic information, daily inspections, dagelijkse inspecties en bedienings- en onderhoudsgegevens van passagierskabelbanen te verzamelen en om real time gegevens te verzamelen over de bedrijfsstatus van elektronische besturing van passagierskabelbanen, staalkabels, motoren en lagercomponenten;collect daily inspections and operation and maintenance data of passenger ropeways and to collect real-time data on the operating status of electronic controls of passenger ropeways, wire ropes, motors and bearing components; waarbij de multi-source heterogene data-opslagmodule wordt ge- bruikt om de geclassificeerde opslag van detectie en monitoring van multi-source heterogene data te realiseren; de module voor he- terogene gegevensopslag met meerdere bronnen een tabel omvat met basisinformatie, een dagelijkse inspectiedatabase, een maandelijk-wherein the multi-source heterogeneous data storage module is used to realize the classified storage of detection and monitoring of multi-source heterogeneous data; the multi-source heterogeneous data storage module includes a table of basic information, a daily inspection database, a monthly se inspectiedatabase en een Jaarlijkse inspectiedatabase; controle van de database, onderhoudsdatabase, bedrijfsstatusdata- base, temperatuurbewakingsdatabase, bedrijfsparameterdatabase, draadkabelbewakingsdatabase, motorbewakingsdatabase en lagerbewa- kingsdatabase;se inspection database and an annual inspection database; monitoring database, maintenance database, operating status database, temperature monitoring database, operating parameter database, wire rope monitoring database, motor monitoring database and bearing monitoring database; het uploaden van gegevens naar de cloud- en distributiemodule, wordt gebruikt om het op afstand uploaden van monitoringgegevens naar het cloudplatform en de distributie van de door het platform vereiste gegevens naar de dataservicemodule te detecteren; de data cloud-servicemodule, wordt gebruikt om een realtime waar-data upload to the cloud and distribution module, is used to detect the remote upload of monitoring data to the cloud platform and the distribution of the data required by the platform to the data service module; the data cloud service module, is used to provide a real-time schuwing van de cloudservicefuncties van passagierskabelbaan, ge- zondheidsdiagnose, trendvoorspelling en clusteranalyse te realise- ren; waarbij de datavisualisatiemodule wordt gebruikt om de uitgebreide informatie van de beheerde kabelbaan visueel weer te geven via de hardwareapparatuur voor gegevensvisualisatie, de realtime parame- ters en status van de bewaakte kabelbaan weer te geven, de gezond- heidsstatus van de bewaakte kabelbaan weer te geven alsmede de analyseresultaten van het detectie- en bewakingscluster; met inbe- grip van de besturingscomputer en de matrixcontroller, besturings-eschew the cloud service functions of passenger ropeway, health diagnosis, trend forecasting and cluster analysis; wherein the data visualization module is used to visually display the comprehensive information of the managed cableway through the data visualization hardware equipment, display the real-time parameters and status of the monitored cableway, display the health status of the monitored cableway, and the analysis results of the detection and monitoring cluster; including control computer and matrix controller, control software voor gesplitst scherm, groot scherm.split screen software, big screen.
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CN106018544B (en) * 2016-06-24 2018-03-20 窦柏林 A kind of steel wire rope Holographic test system
PL3638561T3 (en) * 2017-06-13 2021-06-14 Innova Patent Gmbh Method for operating a cableway
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