CN112948457A - Passenger transport cableway detection monitoring and health diagnosis system, method, medium and equipment - Google Patents
Passenger transport cableway detection monitoring and health diagnosis system, method, medium and equipment Download PDFInfo
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Abstract
The invention belongs to the technical field of passenger transport cableway detection monitoring and health diagnosis, and discloses a passenger transport cableway detection monitoring and health diagnosis system, method, medium and equipment, wherein a detection monitoring data acquisition module is used for acquiring data such as passenger transport cableway basic parameters, overhaul data, running state data and the like; classifying and blocking the monitoring data according to static state, quasi-static state and dynamic state through a multi-source heterogeneous data storage module; the data uploading and distribution module is used for realizing the recording and uploading of passenger transport cableway detection data, the uploading and diagnosis of monitoring data post and the timed distribution of data required by prediction and maintenance; real-time alarming of the passenger ropeway, health diagnosis of ropeway components and systems, trend prediction and cableway detection monitoring cluster analysis are realized through a data cloud service module; and carrying out visual display of passenger transport cableway operation and dynamic visual display of detection monitoring data through a data visualization module. The invention improves the informatization management of detecting, monitoring and operating maintenance of the passenger ropeway.
Description
Technical Field
The invention belongs to the technical field of passenger transport cableway detection monitoring and health diagnosis, and particularly relates to a passenger transport cableway detection monitoring and health diagnosis system, method, medium and equipment.
Background
At present, a passenger ropeway is a transportation system for transporting people by driving a steel wire rope to circularly run by a driving machine. Passenger transport cableways are used as important carrying equipment in scenic spots and ski grounds, and the number and the intelligence level of the passenger transport cableways are rapidly developing. Statistics data in 2019 show that 1089 passenger transport cableways are owned by China, and the number of equipment tends to increase year by year. The automation degree of the passenger ropeway is gradually improved, and the equipment thereof is more and more complex.
The inspection and maintenance of the passenger transport cableway basically mainly adopt the conventional modes of daily inspection, monthly inspection, annual inspection, key component inspection and the like, the inspection work is heavy, the inspection efficiency is low, the informatization means of maintenance is not high, the maintenance and maintenance of equipment are still mainly carried out regularly, faults are maintained, and the conventional inspection and maintenance mode is difficult to ensure the long-period safe operation requirement of the automatic passenger transport cableway. The regular maintenance not only consumes manpower but also wastes maintenance resources, the fault maintenance has certain lag, and the fault parts can be maintained/replaced after the equipment is usually in fault shutdown or accidents, so that potential safety hazards are brought to the equipment operation. Therefore, a new method for detecting, monitoring and diagnosing health of the passenger ropeway is needed.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) the traditional passenger transport cableway inspection and maintenance basically adopts daily inspection, monthly inspection, annual inspection and key component inspection modes, and has heavy inspection work, low inspection efficiency and low maintenance informatization means.
(2) The maintenance and the repair of the equipment are mainly carried out at regular intervals and fault repair, and the traditional inspection, maintenance and repair mode is difficult to ensure the long-period safe operation of the automatic passenger ropeway.
(3) The regular maintenance not only consumes manpower but also wastes maintenance resources, the fault maintenance has certain lag, and the fault parts can be maintained/replaced after the equipment is usually in fault shutdown or accidents, so that potential safety hazards are brought to the equipment operation.
The difficulty in solving the above problems and defects is:
1. the passenger ropeway consists of complex systems such as a structure, a mechanism, an electric control system, a hydraulic system and the like, the passenger ropeway has various failure modes, indexes of health diagnosis are also diversified, and the acquisition of the indexes needs to be carried out by integrally planning all parts and various means such as inspection, detection, monitoring and the like.
2. Aiming at the passenger transport cableway characteristic data sources including static, quasi-static and dynamic data, the logic relation of acquisition and storage of various types of data and later diagnosis call is complex.
3. The method provides cloud service modes according to different management requirements of the passenger ropeway, and for example, indexes need to be monitored and early-warned, indexes need to be clustered and counted, indexes need to be diagnosed and analyzed, and the passenger ropeway system is comprehensively evaluated and managed by utilizing routing inspection, detection and monitoring data and results.
The significance of solving the problems and the defects is as follows: the existing inspection and detection data are mostly static historical data, the data are disconnected with the later maintenance and management of equipment, and the association and trend analysis of the data are lacked. The invention provides key technologies of passenger transport cableway inspection, detection and data acquisition, storage, early warning, diagnosis, clustering and the like, provides a scheme for informatization and intelligent management of passenger transport cableways, and meanwhile, the passenger transport cableway detection monitoring and health diagnosis system based on the Internet of things can provide health state diagnosis and damage/fault trend prediction of equipment, can optimize the existing management modes of regular maintenance, regular maintenance and regular replacement, realizes data-driven state maintenance and predictive maintenance of the passenger transport cableways, and provides data and technical support for use, maintenance and management of the equipment.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a passenger transport cableway detection monitoring and health diagnosis system, method, medium and equipment.
The invention is realized in such a way that the passenger transport cableway detection monitoring and health diagnosis method comprises the following steps:
the detection monitoring data acquisition module acquires passenger ropeway detection monitoring data;
the multi-source heterogeneous data storage module is used for classifying and storing the detection and monitoring multi-source heterogeneous data;
the data uploading and distribution module detects that monitoring data is uploaded to the cloud platform remotely and the platform distributes the data required by the data service module;
the data cloud service module realizes cloud service functions of real-time early warning, health diagnosis, trend prediction and cluster analysis of the passenger ropeway;
the data visualization module utilizes data visualization hardware equipment to visually display comprehensive information of the managed cableway, displays real-time parameters and states of the monitored cableway, displays health states of the monitored cableway and detection monitoring clustering analysis results, and carries out interactive feedback with field maintenance personnel.
Further, the passenger ropeway detection monitoring data comprises static data, quasi-static data and real-time dynamic data; the static data acquisition is passenger transport cableway basic parameter acquisition, the quasi-static data acquisition is passenger transport cableway inspection, detection and maintenance data acquisition, and the real-time dynamic data acquisition is monitoring data acquisition in the running process of the passenger transport cableway;
the basic parameters comprise name, type, transport capacity, cable distance, inclined length, height difference, support, power, rope diameter and car; the passenger transport cableway inspection, detection and maintenance data comprises daily inspection records, daily inspection, maintenance records, monthly inspection, maintenance records, annual inspection, maintenance records, steel wire rope inspection and maintenance records, rope clip inspection and maintenance records, cableway inspection and maintenance records, running condition records and key equipment temperature monitoring records; the monitoring data comprises operating parameters, steel wire rope monitoring, motor monitoring and bearing monitoring;
the acquisition of passenger transport cableway detection monitoring data comprises the following steps:
(1) through a data configuration mode, basic information data of the passenger transport cableway, such as name, type, transport capacity, cable distance, inclined length, height difference, support, power, rope diameter and lift car, are configured to a system platform;
(2) uploading daily inspection records, monthly inspection records, annual inspection records, maintenance records, running condition records and temperature monitoring records related to the passenger transport cableway to a system platform in a file import mode, and storing data into a corresponding database;
(3) and uploading the operation parameter data, the steel wire rope monitoring data, the motor monitoring data and the bearing monitoring data to a system platform in real time in a real-time communication mode, and storing the data into a corresponding database.
Further, the operation parameters comprise system voltage, system current, operation speed, main drive motor temperature, lubricating oil pump motor temperature, speed reducer temperature, hydraulic station temperature and tensioning pressure; the steel wire rope monitoring data comprise LF, LMA and Location; the motor monitoring data comprises the acceleration of each monitoring point; the bearing detection data comprises effective value voltages of all monitoring points of the bearing;
the data uploading and distributing module uploads data to the cloud platform and the cloud platform distributes corresponding data to the corresponding functional module according to the data requirement of the data service module; the data uploading is divided into three types of recording, form uploading and real-time uploading.
Further, data entry, form upload, upload in real time include: basic parameters of the passenger ropeway are directly input into a system platform, and daily inspection records, daily inspection, maintenance records, monthly inspection, maintenance records, annual inspection, maintenance records, steel wire rope inspection and maintenance records, rope clip inspection and maintenance records, ropeway inspection and maintenance records, running condition records and key equipment temperature monitoring record data are uploaded through a record sheet and input;
real-time monitoring data of the operation parameters, the steel wire rope monitoring, the motor monitoring and the bearing monitoring are uploaded in real time through a post protocol through a network; and the data distribution distributes the detection monitoring data to the real-time early warning, health diagnosis, trend prediction and cluster analysis modules respectively according to the requirements.
Further, the cloud service functions of real-time early warning, health diagnosis, trend prediction and cluster analysis of the passenger transport cableway are realized through the data cloud service module, and the cloud service functions comprise:
(1) real-time early warning service: carrying out three-stage early warning on the overrun state of each datum according to the real-time distributed operating parameters, steel wire rope monitoring data, motor monitoring data and bearing monitoring data; real-time early warning service still includes: the data cloud service module judges in real time according to the acquired operating parameters, the steel wire rope monitoring data, the motor monitoring data and the bearing monitoring data, and when the corresponding parameter threshold is exceeded, the system platform sends out state early warning to prompt early warning indexes and current values; when the parameter value is lower than the threshold value, the early warning state is automatically eliminated;
(2) health diagnosis service: based on point inspection maintenance, inspection detection and health monitoring data, key components of a standby oil extraction generator, a control system, a speed reducer, a universal shaft, a working brake, an emergency brake, a driving wheel bearing, a circuitous wheel bearing, a chain coupling, a tensioning trolley, a braking hydraulic system and a tensioning hydraulic system are respectively subjected to grading diagnosis, and then comprehensive diagnosis is carried out on the passenger transport cableway based on diagnosis results of the components; the diagnosis results are divided into: health: the state is good, the operation can be continued, and the value is 1; sub-health: when the fault occurs, the operation can be continued, and the value is 2; unhealthy: when the fault occurs, the operation can not be continued, and the value is 3; aiming at a passenger transport cableway system, firstly, judging whether each evaluation index has an unhealthy item, if so, judging that the system is unhealthy, if not, carrying out comprehensive evaluation on the passenger transport cableway by using a fuzzy comprehensive evaluation method, wherein the evaluation result is as follows:
health: the state is good, and the operation can be continued, and the value is (0, 1);
sub-health: when the fault occurs, the operation can be continued, the equipment is maintained after being shut down, and the numerical value is [1,2 ];
unhealthy: when the fault occurs, the operation can not be continued, the machine is stopped for maintenance immediately, and the numerical value is [2,3 ];
and (3) adopting expert scoring for each evaluation index, and determining the weight by utilizing pairwise comparison judgment matrixes, wherein the weight of each evaluation index meets the following formula:
Hsystem＝h1·w1+h2·w2+…+hn·wn；
wherein, wiFor each evaluation index weight, hiEvaluation value is integrated for each evaluation index, HsystemThe comprehensive diagnosis result is the passenger transport cableway system;
(3) and (3) trend prediction analysis: predicting the overrun trend of each data according to the real-time distributed operation parameters, the steel wire rope monitoring data, the motor monitoring data and the bearing monitoring data;
(4) clustering analysis: and counting the running state and the operation and maintenance state of the passenger ropeway based on the detection monitoring data, and carrying out cluster analysis according to indexes of point inspection components, point inspection time, fault types and fault frequency.
Further, the trend prediction in step (3) further includes: and based on real-time monitoring data, performing trend prediction on the operation parameters, the steel wire rope monitoring indexes, the motor monitoring indexes and the bearing monitoring indexes based on prediction models such as a time sequence model and a grey prediction model, when the prediction trend exceeds the threshold value of each monitoring index, generating a predictive early warning by the system, wherein the predictive early warning comprises an early warning object and an early warning parameter, and when the potential safety hazard of the early warning object is considered to be eliminated, recovering the early warning trend of the system.
Further, the cluster analysis in the step (4) further includes: the method comprises the steps of clustering passenger ropeway detection monitoring data according to indexes of point inspection items, time, periods, fault frequencies, operation and load, overhaul, early warning and health states; and the clustering result is displayed in a mode of a line graph, a bar graph, a pie chart, a chart and a radar chart.
It is a further object of the invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:
the detection monitoring data acquisition module acquires passenger ropeway detection monitoring data;
the multi-source heterogeneous data storage module is used for classifying and storing the detection and monitoring multi-source heterogeneous data;
the data uploading and distribution module detects that monitoring data is uploaded to the cloud platform remotely and the platform distributes the data required by the data service module;
the data cloud service module realizes cloud service functions of real-time early warning, health diagnosis, trend prediction and cluster analysis of the passenger ropeway;
the data visualization module utilizes data visualization hardware equipment to visually display comprehensive information of the managed cableway, displays real-time parameters and states of the monitored cableway, displays health states of the monitored cableway and detection monitoring clustering analysis results, and carries out interactive feedback with field maintenance personnel.
It is another object of the present invention to provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
the detection monitoring data acquisition module acquires passenger ropeway detection monitoring data;
the multi-source heterogeneous data storage module is used for classifying and storing the detection and monitoring multi-source heterogeneous data;
the data uploading and distribution module detects that monitoring data is uploaded to the cloud platform remotely and the platform distributes the data required by the data service module;
the data cloud service module realizes cloud service functions of real-time early warning, health diagnosis, trend prediction and cluster analysis of the passenger ropeway;
the data visualization module utilizes data visualization hardware equipment to visually display comprehensive information of the managed cableway, displays real-time parameters and states of the monitored cableway, displays health states of the monitored cableway and detection monitoring clustering analysis results, and carries out interactive feedback with field maintenance personnel.
Another object of the present invention is to provide a passenger transport cableway detection monitoring and health diagnosis system for implementing the passenger transport cableway detection monitoring and health diagnosis method, the passenger transport cableway detection monitoring and health diagnosis system comprising:
the system comprises a detection monitoring data acquisition module, a multi-source heterogeneous data storage module, a data cloud and distribution module, a data cloud service module and a data visualization module;
the detection monitoring data acquisition module is used for collecting basic information, daily inspection, daily detection and operation and maintenance data of the passenger transport cableway, and sensing and acquiring running state data of electric control, steel wire ropes, motors and bearing components of the passenger transport cableway in real time;
the multi-source heterogeneous data storage module is used for realizing classified storage of the detection and monitoring multi-source heterogeneous data; the multi-source heterogeneous data storage module comprises a basic information data table, a daily inspection database, a monthly inspection database, an annual inspection database, a maintenance database, an operation condition database, a temperature monitoring database, an operation parameter database, a steel wire rope monitoring database, a motor monitoring database and a bearing monitoring database;
the data uploading and distributing module is used for detecting remote uploading of monitoring data to the cloud platform and distributing the data required by the platform to the data service module;
the data cloud service module is used for realizing the cloud service functions of real-time early warning, health diagnosis, trend prediction and cluster analysis of the passenger ropeway;
the data visualization module is used for visually displaying the comprehensive information of the managed cableway through data visualization hardware equipment, displaying the real-time parameters and the state of the monitored cableway, displaying the health state of the monitored cableway and detecting and monitoring clustering analysis results; the system comprises a control computer, a matrix controller, split screen control software and a large display screen.
The invention also aims to provide a passenger transport cableway state monitoring method, which uses the passenger transport cableway detection monitoring and health diagnosis system.
By combining all the technical schemes, the invention has the advantages and positive effects that: the passenger transport cableway detection monitoring and health diagnosis system, method, medium and equipment provided by the invention realize comprehensive management, real-time early warning, health diagnosis and trend prediction on the passenger transport cableway by utilizing the passenger transport cableway detection monitoring data, diagnosis and measurement model and cluster analysis method, promote the passenger transport cableway detection monitoring operation and maintenance informatization management and overcome the defects of the existing passenger transport cableway inspection, detection and maintenance management.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flow chart of a passenger transport cableway detection monitoring and health diagnosis method provided by the embodiment of the invention.
Fig. 2 is a structural block diagram of a passenger transport cableway detection monitoring and health diagnosis system provided by the embodiment of the invention;
in the figure: 1. a detection monitoring data acquisition module; 2. a multi-source heterogeneous data storage module; 3. a data cloud and distribution module; 4. a data cloud service module; 5. and a data visualization module.
Fig. 3 is a schematic diagram of a passenger transport cableway detection monitoring and health diagnosis system provided by the embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a passenger transport cableway detection monitoring and health diagnosis system, method, medium and equipment, and the invention is described in detail with reference to the accompanying drawings.
As shown in fig. 1, the method for detecting, monitoring and diagnosing health of a passenger transportation cableway according to an embodiment of the present invention includes the following steps:
s101, passenger ropeway detection monitoring data are obtained through a detection monitoring data acquisition module;
s102, classifying and storing the detection and monitoring multi-source heterogeneous data through a multi-source heterogeneous data storage module;
s103, detecting and monitoring data to be uploaded to a cloud platform remotely through a data uploading and distributing module, and distributing the data required by the platform to a data service module;
s104, cloud service functions of real-time early warning, health diagnosis, trend prediction and cluster analysis of the passenger ropeway are achieved through a data cloud service module;
and S105, visually displaying the comprehensive information of the managed cableway by using the data visualization hardware equipment through the data visualization module, displaying the real-time parameters and the state of the monitored cableway, displaying the health state of the monitored cableway and the detection and monitoring cluster analysis result, and interactively feeding back the health state and the detection and monitoring cluster analysis result with field maintenance personnel.
As shown in fig. 2, the passenger transport cableway detection monitoring and health diagnosis system provided in the embodiment of the present invention includes: the system comprises a detection monitoring data acquisition module 1, a multi-source heterogeneous data storage module 2, a data cloud and distribution module 3, a data cloud service module 4 and a data visualization module 5;
the detection monitoring data acquisition module 1 is used for collecting basic information, daily inspection, daily detection and operation and maintenance data of the passenger transport cableway, and sensing and acquiring running state data of electric control, steel wire ropes, motors and bearing components of the passenger transport cableway in real time;
the multi-source heterogeneous data storage module 2 is used for realizing classified storage of the detection and monitoring multi-source heterogeneous data;
the data uploading and distributing module 3 is used for detecting remote uploading of monitoring data to a cloud platform and distributing the data required by the platform to the data service module;
the data cloud service module 4 is used for realizing the cloud service functions of real-time early warning, health diagnosis, trend prediction and cluster analysis of the passenger ropeway;
and the data visualization module 5 is used for visually displaying the comprehensive information of the managed cableway through data visualization hardware equipment, displaying the real-time parameters and the state of the monitored cableway, displaying the health state of the monitored cableway and detecting and monitoring clustering analysis results.
A schematic diagram of a passenger transport cableway detection monitoring and health diagnosis system provided by the embodiment of the invention is shown in fig. 3.
The present invention will be further described with reference to the following examples.
Example 1
The invention discloses a passenger transport cableway detection monitoring and health diagnosis method and a platform, wherein the platform comprises a detection monitoring data acquisition module, a detection monitoring data acquisition module and a health diagnosis module, wherein the detection monitoring data acquisition module is used for collecting the basic information, daily inspection, daily detection, operation and maintenance and other data of the passenger transport cableway, and sensing and acquiring the operation state data of components such as an electric control component, a steel wire rope, a motor, a bearing and the like of the passenger transport cableway in real time; the multi-source heterogeneous data storage module is used for classified storage of multi-source heterogeneous data such as detection and monitoring; a data cloud and distribution module; the system comprises a cloud platform, a data service module, a data acquisition module and a data transmission module, wherein the cloud platform is used for remotely uploading monitoring data and distributing the data to the data service module; the data cloud service module is used for cloud services such as passenger transport cableway real-time early warning, health diagnosis, trend prediction, cluster analysis and the like; and the data visualization module is used for visually displaying the comprehensive information of the managed cableway, displaying the real-time parameters and the state of the monitored cableway, displaying the health state of the monitored cableway and detecting and monitoring clustering analysis results. The invention provides a passenger transport cableway detection monitoring and health diagnosis method and platform, which utilize passenger transport cableway detection monitoring data, a diagnosis and detection model and a cluster analysis method to realize comprehensive management, real-time early warning, health diagnosis and trend prediction of the passenger transport cableway, promote the informatization management of passenger transport cableway detection monitoring operation and maintenance, and overcome the defects of the existing passenger transport cableway inspection, detection, maintenance and management.
Example 2
The passenger transport cableway detection monitoring and health diagnosis method comprises the following steps:
the first step is as follows: passenger transport cableway data are acquired. The acquisition of the passenger cableway detection monitoring data comprises the following three aspects:
(1) through a data configuration mode, basic information data such as the name, the type, the traffic volume, the cable distance, the inclined length, the height difference, a support, the power, the rope diameter, the car and the like of the passenger transport cableway are configured to a system platform;
(2) uploading daily inspection records, monthly inspection records, annual inspection records, maintenance records, running condition records and temperature monitoring records related to the passenger transport cableway to a system platform in a file import mode, and storing data into a corresponding database;
(3) and uploading the operation parameter data, the steel wire rope monitoring data, the motor monitoring data and the bearing monitoring data to a system platform in real time in a real-time communication mode, and storing the data into a corresponding database. The operation parameters comprise system voltage, system current, operation speed, main drive motor temperature, lubricating oil pump motor temperature, speed reducer temperature, hydraulic station temperature, tensioning pressure and the like; the monitoring data of the steel wire rope comprises LF, LMA, Location and the like; the motor monitoring data comprises acceleration of each monitoring point and the like; the bearing detection data comprises effective value voltages and the like of each monitoring point of the bearing.
The second step is that: and the data cloud service module judges in real time according to the acquired operating parameters, the steel wire rope monitoring data, the motor monitoring data and the bearing monitoring data, and when the corresponding parameter threshold value is exceeded, the system platform sends out state early warning to prompt early warning indexes and current values. The early warning state is automatically cleared when the parameter value is below a threshold value.
The third step: and (3) health state diagnosis, namely performing health state diagnosis on the objects such as a standby oil extraction generator, a control system, a speed reducer, a universal shaft, a working brake, an emergency brake, a driving wheel bearing, a roundabout wheel bearing, a chain coupling, a tensioning trolley, a braking hydraulic system, a tensioning hydraulic system and the like of the passenger ropeway based on point inspection maintenance data, inspection detection data and health monitoring data respectively, and further performing fuzzy comprehensive diagnosis on the health state of the passenger ropeway system according to the diagnosis result of each state.
And for each evaluation index, diagnosing based on point inspection maintenance data, inspection detection data and health monitoring data, wherein the diagnosis result is divided into:
health (good status and continuous operation, value 1)
Sub-health (failure can continue to run, value 2)
Unhealthy (failure not to continue operation, value 3)
Aiming at a passenger transport cableway system, firstly, judging whether each evaluation index has an unhealthy item, if so, judging that the system is unhealthy, if not, carrying out comprehensive evaluation on the passenger transport cableway by using a fuzzy comprehensive evaluation method, wherein the evaluation result is as follows:
health (good status can continue to run, value (0,1))
Sub-health (failure can continue operation, equipment maintenance after outage, value [1,1.5)
Unhealthy (failure and no further operation, immediate shutdown for maintenance, value [1.5,2])
And (4) adopting expert scoring for each evaluation index, and determining the weight of each evaluation index by utilizing a pairwise comparison judgment matrix. Each evaluation index weight satisfies the following formula:
Hsystem＝h1·w1+h2·w2+…+hn·wn
in the formula: w is aiFor each evaluation index weight, hiEvaluation value is integrated for each evaluation index, HsystemThe comprehensive diagnosis result is the comprehensive diagnosis result of the passenger transport cableway system.
The fourth step: and (3) trend prediction, wherein the trend prediction is carried out on the operation parameters, the steel wire rope monitoring indexes, the motor monitoring indexes and the bearing monitoring indexes on the basis of real-time monitoring data and prediction models such as a time sequence model and a grey prediction model, when the prediction trend exceeds the threshold value of each monitoring index, the system generates predictive early warning, the predictive early warning comprises an early warning object and early warning parameters, and when the potential safety hazard of the early warning object is considered to be eliminated, the early warning trend of the system is recovered.
The fifth step: clustering analysis: and (4) clustering the passenger ropeway detection monitoring data according to indexes such as point inspection items, time, periods, fault frequencies, operation and load, overhaul, early warning and health states. And the clustering result is displayed in a manner of a line graph, a bar graph, a pie chart, a radar chart and the like.
And a sixth step: and (6) visually displaying. The comprehensive information, real-time parameters and states, health states of the managed cableway and the images of the detection, monitoring and clustering analysis results are dynamically displayed in the large screen and interactively fed back to field maintenance personnel through hardware equipment such as a computer, a matrix controller, split screen control software, a large display screen and the like.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A passenger transport cableway detection monitoring and health diagnosis method is characterized by comprising the following steps:
the detection monitoring data acquisition module acquires passenger ropeway detection monitoring data;
the multi-source heterogeneous data storage module is used for classifying and storing the detection and monitoring multi-source heterogeneous data;
the data uploading and distribution module detects that monitoring data is uploaded to the cloud platform remotely and the platform distributes the data required by the data service module;
the data cloud service module realizes cloud service functions of real-time early warning, health diagnosis, trend prediction and cluster analysis of the passenger ropeway;
the data visualization module utilizes data visualization hardware equipment to visually display comprehensive information of the managed cableway, displays real-time parameters and states of the monitored cableway, displays health states of the monitored cableway and detection monitoring clustering analysis results, and carries out interactive feedback with field maintenance personnel.
2. The passenger cableway detection monitoring and health diagnosis method according to claim 1, characterized in that the passenger cableway detection monitoring data comprises static data, quasi-static data and real-time dynamic data; the static data acquisition is passenger transport cableway basic parameter acquisition, the quasi-static data acquisition is passenger transport cableway inspection, detection and maintenance data acquisition, and the real-time dynamic data acquisition is monitoring data acquisition in the running process of the passenger transport cableway;
the basic parameters comprise name, type, transport capacity, cable distance, inclined length, height difference, support, power, rope diameter and car; the passenger transport cableway inspection, detection and maintenance data comprises daily inspection records, daily inspection, maintenance records, monthly inspection, maintenance records, annual inspection, maintenance records, steel wire rope inspection and maintenance records, rope clip inspection and maintenance records, cableway inspection and maintenance records, running condition records and key equipment temperature monitoring records; the monitoring data comprises operating parameters, steel wire rope monitoring, motor monitoring and bearing monitoring;
the acquisition of passenger transport cableway detection monitoring data comprises the following steps:
(1) through a data configuration mode, basic information data of the passenger transport cableway, such as name, type, transport capacity, cable distance, inclined length, height difference, support, power, rope diameter and lift car, are configured to a system platform;
(2) uploading daily inspection records, monthly inspection records, annual inspection records, maintenance records, running condition records and temperature monitoring records related to the passenger transport cableway to a system platform in a file import mode, and storing data into a corresponding database;
(3) and uploading the operation parameter data, the steel wire rope monitoring data, the motor monitoring data and the bearing monitoring data to a system platform in real time in a real-time communication mode, and storing the data into a corresponding database.
3. The passenger cableway detection monitoring and health diagnosis method according to claim 1, characterized in that the operating parameters include system voltage, system current, operating speed, main drive motor temperature, lubrication oil pump motor temperature, reducer temperature, hydraulic station temperature and tensioning pressure; the steel wire rope monitoring data comprise LF, LMA and Location; the motor monitoring data comprises the acceleration of each monitoring point; the bearing detection data comprises effective value voltages of all monitoring points of the bearing;
the data uploading and distributing module uploads data to the cloud platform and the cloud platform distributes corresponding data to the corresponding functional module according to the data requirement of the data service module; the data uploading is divided into three types of recording, form uploading and real-time uploading.
4. The passenger transport cableway detection monitoring and health diagnosis method according to claim 2, wherein the data entry, form upload and real-time upload comprise: basic parameters of the passenger ropeway are directly input into a system platform, and daily inspection records, daily inspection, maintenance records, monthly inspection, maintenance records, annual inspection, maintenance records, steel wire rope inspection and maintenance records, rope clip inspection and maintenance records, ropeway inspection and maintenance records, running condition records and key equipment temperature monitoring record data are uploaded through a record sheet and input;
real-time monitoring data of the operation parameters, the steel wire rope monitoring, the motor monitoring and the bearing monitoring are uploaded in real time through a post protocol through a network; and the data distribution distributes the detection monitoring data to the real-time early warning, health diagnosis, trend prediction and cluster analysis modules respectively according to the requirements.
5. The passenger transport cableway detection monitoring and health diagnosis method according to claim 1, wherein the cloud service functions of passenger transport cableway real-time early warning, health diagnosis, trend prediction and cluster analysis are realized through a data cloud service module, and the method comprises the following steps:
(1) real-time early warning service: carrying out three-stage early warning on the overrun state of each datum according to the real-time distributed operating parameters, steel wire rope monitoring data, motor monitoring data and bearing monitoring data; real-time early warning service still includes: the data cloud service module judges in real time according to the acquired operating parameters, the steel wire rope monitoring data, the motor monitoring data and the bearing monitoring data, and when the corresponding parameter threshold is exceeded, the system platform sends out state early warning to prompt early warning indexes and current values; when the parameter value is lower than the threshold value, the early warning state is automatically eliminated;
(2) health diagnosis service: based on point inspection maintenance, inspection detection and health monitoring data, key components of a standby oil extraction generator, a control system, a speed reducer, a universal shaft, a working brake, an emergency brake, a driving wheel bearing, a circuitous wheel bearing, a chain coupling, a tensioning trolley, a braking hydraulic system and a tensioning hydraulic system are respectively subjected to grading diagnosis, and then comprehensive diagnosis is carried out on the passenger transport cableway based on diagnosis results of the components; the diagnosis results are divided into: health: the state is good, the operation can be continued, and the value is 1; sub-health: when the fault occurs, the operation can be continued, and the value is 2; unhealthy: when the fault occurs, the operation can not be continued, and the value is 3; aiming at a passenger transport cableway system, firstly, judging whether each evaluation index has an unhealthy item, if so, judging that the system is unhealthy, if not, carrying out comprehensive evaluation on the passenger transport cableway by using a fuzzy comprehensive evaluation method, wherein the evaluation result is as follows:
health: the state is good, and the operation can be continued, and the value is (0, 1);
sub-health: when the fault occurs, the operation can be continued, the equipment is maintained after being shut down, and the numerical value is [1,2 ];
unhealthy: when the fault occurs, the operation can not be continued, the machine is stopped for maintenance immediately, and the numerical value is [2,3 ];
and (3) adopting expert scoring for each evaluation index, and determining the weight by utilizing pairwise comparison judgment matrixes, wherein the weight of each evaluation index meets the following formula:
Hsystem＝h1·w1+h2·w2+…+hn·wn；
wherein, wiFor each evaluation index weight, hiEvaluation value is integrated for each evaluation index, HsystemThe comprehensive diagnosis result is the passenger transport cableway system;
(3) and (3) trend prediction analysis: predicting the overrun trend of each data according to the real-time distributed operation parameters, the steel wire rope monitoring data, the motor monitoring data and the bearing monitoring data;
(4) clustering analysis: and counting the running state and the operation and maintenance state of the passenger ropeway based on the detection monitoring data, and carrying out cluster analysis according to indexes of point inspection components, point inspection time, fault types and fault frequency.
6. The passenger cableway detection monitoring and health diagnosis method according to claim 5, wherein the trend prediction in the step (3) further comprises: and based on real-time monitoring data, performing trend prediction on the operation parameters, the steel wire rope monitoring indexes, the motor monitoring indexes and the bearing monitoring indexes based on prediction models such as a time sequence model and a grey prediction model, when the prediction trend exceeds the threshold value of each monitoring index, generating a predictive early warning by the system, wherein the predictive early warning comprises an early warning object and an early warning parameter, and when the potential safety hazard of the early warning object is considered to be eliminated, recovering the early warning trend of the system.
7. The passenger transport cableway detection monitoring and health diagnosis method according to claim 5, wherein the cluster analysis in step (4) further comprises: the method comprises the steps of clustering passenger ropeway detection monitoring data according to indexes of point inspection items, time, periods, fault frequencies, operation and load, overhaul, early warning and health states; and the clustering result is displayed in a mode of a line graph, a bar graph, a pie chart, a chart and a radar chart.
8. A computer device, characterized in that the computer device comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of:
the detection monitoring data acquisition module acquires passenger ropeway detection monitoring data;
the multi-source heterogeneous data storage module is used for classifying and storing the detection and monitoring multi-source heterogeneous data;
the data uploading and distribution module detects that monitoring data is uploaded to the cloud platform remotely and the platform distributes the data required by the data service module;
the data cloud service module realizes cloud service functions of real-time early warning, health diagnosis, trend prediction and cluster analysis of the passenger ropeway;
the data visualization module utilizes data visualization hardware equipment to visually display comprehensive information of the managed cableway, displays real-time parameters and states of the monitored cableway, displays health states of the monitored cableway and detection monitoring clustering analysis results, and carries out interactive feedback with field maintenance personnel.
9. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
the detection monitoring data acquisition module acquires passenger ropeway detection monitoring data;
the multi-source heterogeneous data storage module is used for classifying and storing the detection and monitoring multi-source heterogeneous data;
the data uploading and distribution module detects that monitoring data is uploaded to the cloud platform remotely and the platform distributes the data required by the data service module;
the data cloud service module realizes cloud service functions of real-time early warning, health diagnosis, trend prediction and cluster analysis of the passenger ropeway;
the data visualization module utilizes data visualization hardware equipment to visually display comprehensive information of the managed cableway, displays real-time parameters and states of the monitored cableway, displays health states of the monitored cableway and detection monitoring clustering analysis results, and carries out interactive feedback with field maintenance personnel.
10. A passenger transport cableway detection monitoring and health diagnosis system for implementing the passenger transport cableway detection monitoring and health diagnosis method according to any one of claims 1 to 7, wherein the passenger transport cableway detection monitoring and health diagnosis system comprises:
the system comprises a detection monitoring data acquisition module, a multi-source heterogeneous data storage module, a data cloud and distribution module, a data cloud service module and a data visualization module;
the detection monitoring data acquisition module is used for collecting basic information, daily inspection, daily detection and operation and maintenance data of the passenger transport cableway, and sensing and acquiring running state data of electric control, steel wire ropes, motors and bearing components of the passenger transport cableway in real time;
the multi-source heterogeneous data storage module is used for realizing classified storage of the detection and monitoring multi-source heterogeneous data; the multi-source heterogeneous data storage module comprises a basic information data table, a daily inspection database, a monthly inspection database, an annual inspection database, a maintenance database, an operation condition database, a temperature monitoring database, an operation parameter database, a steel wire rope monitoring database, a motor monitoring database and a bearing monitoring database;
the data uploading and distributing module is used for detecting remote uploading of monitoring data to the cloud platform and distributing the data required by the platform to the data service module;
the data cloud service module is used for realizing the cloud service functions of real-time early warning, health diagnosis, trend prediction and cluster analysis of the passenger ropeway;
the data visualization module is used for visually displaying the comprehensive information of the managed cableway through data visualization hardware equipment, displaying the real-time parameters and the state of the monitored cableway, displaying the health state of the monitored cableway and detecting and monitoring clustering analysis results; the system comprises a control computer, a matrix controller, split screen control software and a large display screen.
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