CN214652926U - Escalator maintenance strategy generation system - Google Patents

Abstract

The utility model discloses an automatic staircase maintenance strategy generation system, including: the sensor information acquisition board is arranged on the site of the escalator, and the fault information processing board is arranged at the end of the back table; the visual information processing board card is used for interacting with the image acquisition equipment and/or the troubleshooting terminal and is used for acquiring and processing information such as running information and maintenance records of the escalator; the sensor information processing board card is used for communicating with the sensor information acquisition board card and storing and processing the acquired sensor information; the fault information processing board card is used for interacting with the terminal, and the terminal completes information display and man-machine interaction; the sensor information acquisition integrated circuit board is used for gathering the sensing signal who comes from first type sensor module and second type sensor module, according to the utility model discloses the system of realization fully gathers and systematizes the comprehensive signal of handling the automatic escalator in service to can assist and propose the automatic escalator maintenance strategy generation system who has precaution and referential nature more.

Description

Escalator maintenance strategy generation system

Technical Field

The utility model belongs to the technical field of safety monitoring, especially, relate to an automatic staircase maintenance strategy generation system.

Background

At present, an escalator is one of important devices of urban rail transit, is a transportation tool for transporting pedestrians in a transportation belt mode, and in order to ensure the safety of passengers and reduce the occurrence probability of accidents, the escalator needs to be periodically maintained to repair related comb plate faults, handrail belt faults, step faults, traction chain faults, driving device faults and safety protection device faults, so that the safety of the passengers and the smoothness of traffic are ensured. At present, the maintenance of the escalator mainly relates to periodic maintenance and fault maintenance, when the machine case shell of the escalator needs to be disassembled, screws are disassembled and screwed, excessive maintenance or untimely maintenance can be caused, a large amount of time and cost are consumed, and the normal use of the escalator is influenced.

Safety components, such as sensors, which can detect and monitor the conditions prevailing in the elevator, are provided in the escalator, and are generally distributed on the elevator installation to monitor the safety operation, and the above different components may be failed or damaged to affect the safety.

In the conventional escalator maintenance strategy, generally, only local monitoring and detection of the escalator are involved, for example, a sensor is provided to monitor the working state of a local component, and the like, for example, patent CN201811587775 discloses an escalator diagnosis device and an escalator diagnosis method, wherein an output signal from a deformation detection part which detects the occurrence of a guide rail on a main surface of the guide rail is processed, and when the output signal is abnormal, it is determined that an abnormality occurs in a step driving part; and an external output unit that outputs to the outside the case where an abnormality occurs in the step driving unit when the abnormality occurs in the step driving unit.

The patent CN201320349378 discloses a fault diagnosis and alarm device for escalators and moving sidewalks, which transmits information such as uplink and downlink, stop, fire alarm, fault and fault code of equipment to a network platform in real time in a wired or wireless Wi-Fi manner, and the CPU processing module is further provided with a GSM mobile phone SIM card interface, and sends fault or fire alarm information to a preset mobile phone of a maintenance worker or a unit through short messages.

Patent CN201720945234 discloses a self-diagnosis escalator, which comprises sensor modules, wherein sensors in the sensor modules are arranged at safety positions of the escalator and used for receiving and recording operation data of the escalator, determining whether to generate an alarm signal according to the operation data, and sending the alarm signal to a control center.

JP2020-147396a discloses an abnormality detecting device of an escalator, by which an abnormality of a step can be detected when a moving speed of the step changes, comprising a first driving side sensor that detects a passage of a first driving roller from a first direction side, a first following side sensor that detects a passage of a first following roller from the first direction side, and a detecting unit that detects an abnormality of a step movement based on whether or not the detection of the first driving side sensor and the detection of the first following side sensor are simultaneously performed.

In the above prior art relating to escalator faults, attention is paid to either the personal safety problem of passengers or the sensor setting problem in the escalator itself, and further, the processing and visualization problem of fault information is not temporarily concerned with considering the systematic overall solution of the escalator, so as to bring various fault factors of the escalator into the analysis range, and form a systematic preventive maintenance strategy solution.

SUMMERY OF THE UTILITY MODEL

To the above defect or the improvement demand of prior art, the utility model provides an automatic staircase preventive maintenance strategy generation system.

In order to achieve the above object, according to the utility model discloses, at first propose a preventive maintenance strategy generation system of automatic escalator, its characterized in that, this system including: the system comprises a visual information processing board card, a sensor information processing board card, a fault information processing board card and a sensor information acquisition board card;

the sensor information acquisition board card is arranged on the escalator site, and the fault information processing board card is arranged at the back table end;

the visual information processing board card is used for interacting with the image acquisition equipment and/or the troubleshooting terminal and acquiring and processing information such as running information and maintenance records of the escalator;

the sensor information processing board card is used for communicating with the sensor information acquisition board card and storing and processing acquired sensor information;

the fault information processing board card is used for interacting with a terminal, and the terminal completes information display and man-machine interaction;

the sensor information acquisition board card is used for acquiring sensing signals from the first type of sensor assembly and the second type of sensor assembly.

Furthermore, the first sensor assembly is a sensor for monitoring the escalator assembly, and the second sensor assembly is a sensor arranged in the working environment of the escalator assembly.

Further, the sensor information acquisition board card includes: and the data acquisition card is used for acquiring the sensing data of the sensor assembly and immediately sending the acquired data to the sensor information processing board card for processing.

Further, the terminal comprises a man-machine interaction module, and the man-machine interaction module is used for receiving and displaying preventive maintenance strategy interaction information processed by the fault information processing board card, and receiving and executing inquiry and data scheduling commands.

Further, the troubleshooting terminal is used for collecting and recording the overhauling and maintenance records of the escalator.

Generally, through the utility model discloses above technical scheme who conceives compares with prior art, has following beneficial effect:

compared with the traditional automatic escalator maintenance, the preventive maintenance strategy generation system for the escalator is particularly provided, various factors possibly encountered by the escalator under various conditions are fully considered, various problems in the operation of the escalator are fully considered by establishing a complete processing system and acquiring and analyzing the conditions of relevant passenger carrying, operation maintenance and the like of the escalator through an image system, and accordingly the more preventive and referential automatic escalator maintenance strategy generation system can be provided in an auxiliary mode.

Drawings

Fig. 1 is a schematic view of a component frame of escalator fault factors implemented in accordance with the present invention;

fig. 2 is a schematic diagram of a structure of a preventive maintenance strategy generation system for an escalator, according to the present invention;

FIG. 3 is a schematic diagram of a data storage center logic implemented in accordance with the present invention;

FIG. 4 is a schematic view of a chromatography model implemented in accordance with the present invention;

fig. 5 is a schematic diagram of a health model-based predictive maintenance strategy for an escalator implemented in accordance with the present invention;

FIG. 6 is a diagram showing a concrete structure of a recipe layer judgment index in the chromatography analysis method according to the present invention;

FIG. 7 is a schematic diagram of a health model and threshold corridor generation flow according to the present invention;

FIG. 8 is a schematic diagram of a system for implementing a maintenance strategy generation method according to the present invention;

FIG. 9 illustrates one embodiment of generating a fault indicator value and threshold corridor in accordance with the present invention;

fig. 10 shows a second embodiment of generating a fault indicator value and threshold corridor according to the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and 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. Furthermore, the technical features mentioned in the embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

As shown in fig. 1, it is according to the utility model discloses a maintenance strategy of escalator generates relevant fault nature factor component structure schematic diagram: dividing fault factors into external factors and escalator self factors; external factors may be characterized as safety of the escalator passengers neglecting taking the escalator, unscientific elevator installation and improper maintenance and management; the factor fault characterization indexes mainly include service life, passenger flow acquired by monitoring equipment, historical maintenance, fault records, accidental unsafe operation of passengers and the like; the intrinsic fault factor of automatic escalator can be divided into fishback trouble, handrail area trouble, step trouble, tow chain trouble, drive arrangement trouble, safety arrangement trouble according to its component structure, and the intrinsic fault factor of more automatic escalators still includes: the device comprises a traction machine, a main machine drive, a step drive, a shaft and bearing, a main drive chain, a step roller, a step chain roller, a hand strap, a metal truss, a step shaft, a guide rail and the like.

At the external fault factor end, the passenger factors of the escalator and the factors such as insufficient installation and maintenance management of the elevator can cause the passengers to be unsafe in some cases, and in some cases, the problems are mapped to the problems of the internal faults of the escalator, for example, the frequent increase of the passenger load can cause the running load of the motor to be overhigh or the abrasion fault of the comb plate, and the like, but the abnormity and the fault possibly caused by the external factors can be generally reflected in the signal abnormity of the sensor for monitoring the motor (the signal abnormity can be reflected in the signal abnormity of light, sound, vibration and the like); therefore, the health operation state of the escalator system is comprehensively judged according to the component state of the escalator, information fusion among the multiple variables, analysis and utilization are carried out, and how to link with the maintenance strategy of the escalator is the problem to be solved for ensuring the reasonable and preventive maintenance of the escalator.

Generally speaking, information such as automatic escalator speed, acceleration, vibration, noise, video monitoring are monitored through the sensor that sets up on various subassemblies to carry out the relevant index reference value that the analysis and processing quantization is automatic escalator subassembly self trouble, thereby indicate the trouble that automatic escalator probably exists, the utility model provides a technical scheme's focus lies in how to utilize the preventative maintenance strategy that the systematic acquisition automatic escalator of above-mentioned index reference value comes.

The utility model relates to an among the maintenance strategy generation method, at first need acquire the trouble index reference value of automatic escalator subassembly, this trouble index reference value can be from the signal value whether unusual of this subassembly of reflection that acquires in certain sensing device, or obtain the index value whether unusual of this subassembly of reflection after the signal analysis or be the matrix of constituteing by a plurality of types index value from a plurality of or multiunit sensing device (for example by the aforesaid multiple parameter sensor sets up the multiple parameter of gathering, or handle the fault characteristics who draws etc. via the trouble parameter), in a word trouble index reference value and scope have indicated in certain extent, the interval of the normal operating of subassembly that relates.

Fig. 2 is a schematic structural diagram of the preventive maintenance strategy generation system for an escalator according to the present invention;

a human-computer interaction terminal 5, an image acquisition device 6 and a troubleshooting terminal device 7, wherein,

the man-machine interaction terminal 5 is connected with the fault information processing board 3, the fault information processing board 3 is used for processing fault information, feeding processed information back to the man-machine interaction terminal 5, and receiving an operation instruction sent by the man-machine interaction terminal 5;

the fault information processing board 3 is respectively connected with the visual information processing board 1 and the sensor information processing board 2 and is used for sending an operation instruction to the visual information processing board or receiving information sent by the visual information processing board;

the visual information processing board 1 is respectively connected with the image acquisition equipment 6 and the fault maintenance equipment 7, the visual information processing board 1 receives the acquired image information and carries out preprocessing to realize visual information processing, the acquired image information is transmitted to the fault information processing board 3, and meanwhile, an operation instruction sent by the fault information processing board 3 is received and transmitted to the image acquisition equipment 6 and the fault maintenance equipment 7;

the sensor information processing board 2 is connected with the sensor information acquisition board 4, the sensor information processing board 2 receives information acquired by the sensor information acquisition board 4, and meanwhile, an operation instruction is sent to the sensor information processing board 2 to perform information acquisition operation.

The visual information processing board 1 includes: a first memory 1-2, a first processor 1-1, wherein,

the first memory 1-2 is used for storing received instruction and information data; the first processor 1-1 is formed by combining a first control unit 1-1-1, a first storage unit 1-1-2 and a first calculation unit 1-1-3, and is used for preprocessing and transmitting operation instructions and information data.

The sensor information processing board card 2 includes: a second memory 2-2, a second processor 2-1, wherein,

the second memory 2-2 is used for storing the received instruction and information data;

the second processor 2-2 is formed by combining a second control unit 2-1-1, a second storage unit 2-1-2 and a second calculation unit 2-1-3, and is used for realizing preprocessing and transmission of operation instructions and information data.

The failure information processing board 3 includes: a third memory 3-2, a third processor 3-1, wherein,

the third memory 3-2 is used for storing the received instruction and information data;

the third processor 3-1 is formed by combining a third control unit 3-1-1, a third storage unit 3-1-2 and a third calculation unit 3-1-3, and realizes the processing and transmission of operation instructions and information data.

The sensor information acquisition board card 4 includes: 4-1 parts of a data acquisition card, 4-2 parts of sensor components, 4-3 parts of a sensor component and 4-4 parts of a clock circuit, wherein:

the data acquisition card 4-1 is respectively connected with the sensor components 4-2 and 4-3 and the clock circuit 4-4, the sensor components are in control connection with the clock circuit, the data acquisition card 4-1 is used for acquiring accurate sensing data information and transmitting the accurate sensing data information to the sensor information processing board card 2, the sensor components are arranged into a first type sensor component 4-2 and a second type sensor component 4-3 in a specific implementation mode, wherein the first type sensor component 4-2 is a sensor for monitoring the escalator components, and the second type sensor component 4-3 is a sensor arranged in the working environment of the escalator components. The man-machine interaction terminal 5 comprises a man-machine interaction module and a GUI (graphical user interface), wherein the man-machine interaction module is used for receiving fault information processed by the fault information processing board 3, feeding the fault information back to an operator through the GUI, receiving an operation instruction sent by the operator, and transmitting the operation instruction to the fault information processing board 3 to realize the operation of the system.

Wherein, according to the maintenance strategy generation system realized by the utility model, the complex information is mainly divided into three board cards for system setting and processing, that is, the signal collected from the sensor end is processed by setting a separate board card for the sensor information, whether the signal is preprocessed at the escalator end or the signal of the sensor is directly sent to the rear end for processing, and the visual information is also processed, in the process of generating preventive maintenance strategies for escalators, many parameters are set from the complex operating environment of the escalator, whereas the image information and various kinds of information from the trouble-shooting terminal 7 are multidimensional and complicated, and a necessary portion needs to be extracted therefrom to refine the reference information for the indication of the trouble signal, therefore, it is necessary to create separate blocks for processing, calculating, and storing data.

As another aspect of the utility model, the utility model discloses an automatic staircase preventive maintenance strategy generation method based on healthy storehouse model, this method mainly includes following work step:

(1) acquiring a fault index value of the escalator system component, and generating a real-time fault index value curve reflecting the escalator system component;

(2) comparing the real-time fault index value curve with the standard fault index value curve to obtain a residual error curve;

(3) comparing the current residual curve with a threshold corridor of the residual curve, if the current residual curve falls into the range, indicating that the system components are in a safer operation state and do not need to be maintained specifically, but under the condition that the current residual curve does not fall into the range, indicating that one or more components are abnormal in signal and maintenance is needed to be performed at the moment;

(4) and under the condition that the current residual curve falls into a threshold value corridor, further generating a health degree threshold value corridor, and proposing preventive maintenance strategies according to the classification of the health degree threshold value corridor, wherein the strategies comprise the following conditions:

in the first case: the escalator normally runs in a safety state threshold corridor;

in the second case: if a threshold corridor of a state with hidden maintenance trouble exists, the corresponding components are listed in a special monitoring component group;

in the third case: maintenance failure threshold corridors exist, and preventive maintenance on the escalator is needed;

in a fourth case: there is a large potential safety hazard threshold corridor, and the escalator needs to be shut down for preventive and comprehensive maintenance.

The present invention relates to a maintenance strategy generation method, wherein the components for selecting a fault index value curve may include all components in a monitoring state of an escalator, or select some components from the components which can typically reflect an operation state of the escalator, and the present solution is substantially capable of reflecting a safe operation state curve of the escalator from a systematic perspective, and does not strictly limit specific numerical values.

Wherein, to the utility model relates to an among the maintenance strategy generation method, the threshold value corridor generation method of residual error curve includes:

(1) generating an initial fault index threshold corridor according to the fault index value threshold range corresponding to the system components one by one;

(2) comparing the real-time fault index value curve with the fault index threshold value corridor to obtain a threshold value corridor of a residual error curve;

(3) and generating and obtaining a threshold corridor of a residual error curve through continuous data collection training of a real-time fault index value curve.

The method for generating the health degree model comprises the following steps:

acquiring a safety value of a corresponding component according to a real-time fault index value, wherein the safety value is a probability value of a fault occurring when a current real-time signal is in a threshold value corridor of a residual error curve, and the specific probability value is calculated mainly by the following steps: the fault probability is a residual error value/residual error expected value obtained by calculation, wherein the residual error expected value is a residual error standard value obtained by calculating a sample, a safety value of a component in the system is multiplied by a weight coefficient corresponding to the component, and a health degree value of the whole escalator is generated on the basis of the health degree model;

the calculation of the weight coefficients comprises the following steps:

constructing a judgment matrix according to the N criterion layer indexes, wherein the row columns of the judgment matrix are the criterion layer indexes; judging whether the value in the matrix is selected as the index of the corresponding row and column, and comparing the selected index value with the index value;

solving the N power root values of the element product of each row of the judgment matrix to generate a vector set, and normalizing the vector set to obtain the weight coefficient of the component;

the indexes of the criterion layer include potential safety hazard, influence degree, maintenance time and maintenance cost;

and the selection of the index numerical value considers the grading of the potential safety hazard, the influence degree, the maintenance time and the maintenance cost index.

The method for generating the health degree model comprises the following steps:

the utility model relates to an among the automatic escalator preventive maintenance strategy generation method based on healthy storehouse model, make full use of big data technique and neural network self-learning technique, establish the database, utilize the trouble index value curve of gathering in real time, constantly carry out big data learning and optimization correction to standard trouble index value curve for the data of standard trouble index value curve more laminate automatic escalator actual conditions, make the acquisition of residual error curve more accurate;

meanwhile, a threshold corridor of the residual error curve is continuously learned and corrected in the data collected in real time, so that a standard threshold corridor of the residual error curve is formed, the standard threshold corridor is further optimized in real-time dynamic updating, the safety value in the calculation of the determined health model is dynamically changed by real-time learning, and the health degree model can help to construct a health degree threshold corridor of the whole escalator more finely, so that the maintenance state corresponding to the escalator in a normal operation range can be assisted to be more finely performed.

Specifically, the main flow of the learning update of the threshold corridor involved in the health model-based escalator preventive maintenance strategy generation method is schematically shown in fig. 6:

firstly, analyzing and obtaining a fault index value of an escalator system component from a monitoring device, forming a fault index value curve by the fault index values of a plurality of components, comprehensively calculating a fault index threshold corridor by combining the fault index value with indexes such as service life, maintenance history and the like, calculating a safety value threshold corridor and a health value threshold corridor by a health model, and performing more refined management on a preventive fault index by using a dynamic range formed by combining a plurality of points as a corresponding threshold corridor through calculation results of a safety value and a health value and through data management of the threshold corridor; the method comprises the following steps that a plurality of fault index value curves can generate a standard fault index value curve base, and training and updating are carried out under the fault index value curves which are continuously received to generate a new standard fault index value curve base for next comparison;

comparing a currently received fault index value curve with a standard fault index value curve to obtain a residual error curve, and simultaneously comparing the fault index value curve with a fault index threshold value corridor to obtain a residual error curve threshold value corridor, wherein the residual error curve threshold value corridor is also trained in continuously updated data to generate a residual error curve threshold value corridor standard library;

meanwhile, by comparing a residual error curve in a residual error curve threshold value corridor standard library, the first level is that a safety value can be calculated according to the position of the residual error curve, a safety value threshold value corridor is calculated, on the basis, a health degree value and a health degree threshold value corridor are calculated according to a weight coefficient in a health degree model, and the health degree threshold value corridor is classified to generate a maintenance strategy by combining the health degree value of the current system;

the learning updating is chained updating, and in the process of establishing the health degree model, the classification judgment of the health degree is always carried out by a threshold value corridor, firstly, a fine preventive maintenance strategy reference can be provided, and secondly, the data calculation and judgment are carried out by the threshold value corridor which is formed by components and reflects systematized indexes, so that the fault evaluation is limited within a reasonable range, and the excessive maintenance is avoided as much as possible.

Further, combine the process of above-mentioned training renewal, the utility model provides an automatic escalator preventive maintenance strategy generation method based on health degree model, this method mainly includes following step, and wherein the flow schematic diagram is shown in fig. 5:

STEP 1: establishing a fault database of the escalator on the basis of a data storage center;

STEP 1-1: the method comprises the steps that the speed, the acceleration, the vibration and the noise of the escalator are monitored, fault index value data are obtained by utilizing monitoring equipment and image processing and stored in a data storage center, wherein the fault index value data are mapped with components of the escalator according to big data analysis, namely the collected data can be definitely judged and directed to which component has a fault;

STEP1-2, as shown in figure 3, the data storage center establishes a fault database through the stored fault index value data, and performs self-learning and updating;

the data storage center performs self-learning and updating through the existing data, wherein the self-learning and updating method comprises self-learning based on a BP neural network and the like, and the fault database of the escalator is continuously perfected, so that a fault standard database is generated and perfected;

STEP 2: generating a health degree model of the escalator;

STEP2-1, the data storage center self-learns and updates through the existing data, constantly perfects the fault database of the escalator, compares the normalized fault index value data with the theoretical index parameters of the corresponding components of the data storage center after analysis, judges the residual error between the two curves, obtains the threshold value corridor of the curve comparison residual error value through the repeated data comparison and database self-learning functions, and the probability of the component fault corresponding to different threshold values is called as a safety value; firstly, judging whether fault factors of different components of the escalator are in an allowable safety value range threshold corridor, and if the fault factors are not in the allowable safety value range threshold corridor, performing targeted maintenance on the components; if the escalator is in the threshold value corridor of the allowable safety value range, the product of the safety value (STEP2-1) of the fault of different components of the escalator and the corresponding weight coefficient (STEP2-2) is added to calculate the health value of the whole escalator by using the health model;

STEP 2-2: determining the weight coefficients of fault factors of different components of the escalator according to an analytic hierarchy process, wherein the hierarchy can be divided into a target layer, a standard layer and a scheme layer; the criterion layer is divided into: potential safety hazards, degree of influence, maintenance time, and maintenance cost; constructing a judgment matrix according to the four indexes, and calculating to obtain a weight coefficient of each index;

STEP 2-3: and (3) calculating the health degree model of the escalator by using the safety value obtained in the step (2-1) and the weight coefficient obtained in the step (2-3), wherein the specific implementation mode is that the safety values of the faults of different components of the escalator are added to the product of the weight coefficient, and the health degree model is used for calculating to obtain the health degree value of the escalator.

STEP3, generating a health degree threshold value corridor, and generating a responsive maintenance strategy by the health degree threshold value corridor;

determining health degree threshold corridors of different maintenance states through a database self-learning function, wherein the threshold corridors are respectively defined as:

a safety state threshold value corridor allows the escalator to normally run;

if a maintenance hidden trouble state threshold value corridor exists, arranging corresponding components into a special monitoring component group;

maintenance failure threshold corridors exist, and preventive maintenance on the escalator is needed;

there is a large potential safety hazard threshold corridor, and the escalator needs to be shut down for preventive and comprehensive maintenance.

On the basis, corresponding dynamic threshold value corridors are set based on the self-learning function of the BP neural network of the fault data center through historical health value data and actual maintenance conditions, and the dynamic threshold value corridors are respectively as follows: the escalator normally runs in a threshold range corridor in a relative safety state; a threshold range corridor with potential maintenance hazard states is listed as a key monitoring group; if a maintenance fault state threshold range corridor exists, the key components are maintained preventively; and (4) stopping operation and performing comprehensive maintenance when a potential safety hazard threshold range corridor exists. And comparing the health value obtained by calculation according to the health degree model with the health value dynamic threshold corridor range value, and selecting a corresponding maintenance strategy.

Further, according to an embodiment of the present invention, the specific calculation of the weighting factor in STEP2-1 is implemented as follows: determining the weight coefficients of fault factors of different components of the escalator according to an Analytic Hierarchy Process (AHP), wherein the weight coefficients are as follows: the system comprises a target layer, a criterion layer and a scheme layer, wherein the criterion layer is divided into four layers: potential safety hazard (C1), influence degree (C2), maintenance time (C3) and maintenance cost (C4) by constructing a judgment matrix B, wherein each element B in the matrix B_ijIndicates the horizontal movement index C_iFor each column index C_jThe above values store corresponding reference selection data in the fault database, and corresponding selection can be performed according to the index basis of the criterion layer.

Index (I)	C1	C2	C3	C4
					C1	1	b12	b13	b14
C2	b21	1	b23	b24
					C3	b31	b32	1	b34
C4	b41	b42	b43	1

Then, the n-th power root of the element product of each row of the matrix B is judged:

n is the number of indexes selected by the criterion layer, wherein i, j and l are natural numbers ranging from 1 to n and are row and column labels of the matrix, and the product of matrix elements determines that the index dimensionality is kept uniform as much as possible when the matrix elements are selected;

will vector

Normalization, calculated as follows:

w_pthe weight coefficient is the weight coefficient of the current judgment matrix, namely the weight coefficient of the current component health degree model is obtained.

Wherein, the implementation mode of the health degree model calculation scheme in STEP2-3 is as follows: the escalator health model is as follows:

in the formula: alpha is alpha_mSafety values, omega, for faults of different components of escalators_iWeighting coefficients corresponding to faults of different components of the escalator, wherein m is the number of the escalator components calculated by the health degree model;

further, corresponding to the model corresponding to the chromatography in fig. 4, the target layer mainly corresponds to the evaluation of the fault influence degree, the criterion layer evaluates the fault influence degree by using factors such as the potential safety hazard, the fault degree, the maintenance time and the maintenance cost, and the solution layer performs a grading prompt for the factors and the analysis targets in the criterion layer, for example, the criteria layer shown in fig. 4 is divided into one level, two levels, three levels (where the levels respectively correspond to the various indexes shown in fig. 6), and the like, wherein the criteria layer index can set more factor indexes according to more analysis indexes, and the solution layer can be subdivided into more hierarchy indexes, and the above illustration in fig. 4 is only one of the embodiments of the present invention.

As shown in fig. 9, an example of the implementation according to the embodiment of the present invention is as follows:

firstly, collecting sensor data transmitted by three sensors arranged in a component of the escalator, wherein the monitoring index of the component is a fault index value, the value in a certain numerical range can reflect the working state index of the component, the fault index values of a plurality of sensors reflecting the working performance of the component can be shown as a curve, and the working state of the component is comprehensively reflected, of course, the sensors can deeply mine and fuse a plurality of information, so that a richer fault characteristic value index matrix reflecting the working state of the component is formed, or the curve formed by the component fault index values reflecting the whole health degree of the escalator and formed by component information as shown in an embodiment II in fig. 10 is fused, so as to carry out a generation scheme according to a threshold value corridor in the method of the utility model;

in addition, the utility model provides a prophylactic maintenance strategy of automatic escalator generates system based on health degree model, this system mainly includes as shown in figure 8 the component part:

the system comprises a data storage center and a data calculation (processing) center, wherein the data storage center comprises a fault database and a criterion layer judgment matrix element library so as to select and call data when weight coefficient calculation is carried out, and the fault database comprises a standard fault index value curve library, a standard residual error curve threshold value corridor library, a standard safety value threshold value corridor library and a standard health degree threshold value corridor library;

the data calculation (processing) center comprises a fault index value curve generation module, a fault index threshold generation module, a residual error curve threshold corridor generation module, a safety value calculation module, a safety threshold corridor generation module, a health value generation module, a health threshold corridor generation module and a weight coefficient calculation module; further, the data calculation (processing) center also comprises a neural network module for training the output data of the modules, and is used for receiving the data collected and calculated in real time to learn and update a standard library of a fault database;

in addition, the data computing (processing) center also comprises a maintenance strategy generating module which is used for judging and generating a maintenance strategy and displaying and pushing the maintenance strategy; the data processing flow corresponding to the whole model is shown in fig. 8, and each step of real-time collected parameters is subjected to chained training, for example, the real-time collected fault index value generates an index value curve, and a standard fault index curve library is generated after comparison training so as to facilitate comparison generation of a residual error curve, thereby generating a residual error curve threshold value corridor to facilitate generation of a safety value and a corresponding threshold value corridor thereof, and finally generating and decomposing a health threshold value corridor to evaluate the overall safety of the escalator with a health value, so that the standard library is stored and updated in the fault database, thereby facilitating generation of the standard fault database and improving the fault type identification accuracy and the precision of a preventive maintenance grading strategy.

To sum up, according to the utility model discloses the preventive maintenance strategy of automatic escalator generates the method, has mainly embodied following aspect:

(1) constructing a fault database through a perfect escalator component, fully applying a self-learning technology, and continuously correcting a standard fault database by continuously accumulating and newly detecting data; storing the data of the fault index values obtained by monitoring into a data storage center, self-learning historical data and the system through the existing data, continuously perfecting a fault database of the escalator, carrying out curve contact ratio comparison on the data of the fault index values after normalization processing analysis and theoretical index parameters of corresponding components of the data storage center, and judging a residual error value between two curves;

obtaining threshold value corridors of curve residual values through continuous data comparison and database self-learning functions, wherein the probability that components corresponding to different threshold value corridors do not fail is called as a safety value, and when the safety value is lower than the minimum value of the safety threshold value corridors, the components need to be maintained in a targeted manner; storing the monitored data and safety threshold corridor data into a data storage center, and self-learning historical data and a system through the existing data to continuously perfect a fault database and a safety threshold corridor library of the escalator; and performing multivariate information fusion within the corresponding threshold corridor range to further classify the maintenance strategy;

(2) providing a health degree model with multivariate information fusion, generating a threshold corridor of a maintenance strategy according to the model to give the maintenance strategy, determining the weight coefficients of fault factors of different components of the escalator by an analytic hierarchy process, forming the health degree model of the whole escalator by adding the products of the safety values and the weight coefficients of the faults of different components of the escalator, calculating the health degree value of the escalator by the health degree model, and determining the threshold corridors in different maintenance states by a database self-learning function to divide the threshold corridors into the following parts: a safety state threshold value corridor allows the escalator to normally run; if a maintenance hidden trouble state threshold value corridor exists, arranging corresponding components into a special monitoring component group; maintenance failure threshold corridors exist, and preventive maintenance on the escalator is needed; the automatic escalator maintenance method comprises the steps that a corridor with larger potential safety hazard threshold value is needed, the automatic escalator needs to be shut down for preventive and comprehensive maintenance, the health degree value of the automatic escalator is obtained through calculation of a health degree model, the threshold value corridors in different maintenance states are determined through a database self-learning function, and corresponding maintenance strategies are given.

It will be understood by those skilled in the art that the foregoing is merely a preferred embodiment of the present invention, and is not intended to limit the invention to the particular forms disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention as defined by the appended claims.

Claims (5)

1. An escalator maintenance strategy generating system, characterized in that, the system includes: the system comprises a visual information processing board card (1), a sensor information processing board card (2), a fault information processing board card (3) and a sensor information acquisition board card (4);

the sensor information acquisition board card (4) is arranged on the escalator site, and the fault information processing board card (3) is arranged at the back end;

the visual information processing board card (1) is used for interacting with an image acquisition device (6) and/or a troubleshooting terminal (7) and is used for acquiring and processing running information and maintenance record information of the escalator;

the sensor information processing board card (2) is used for communicating with the sensor information acquisition board card (4) and storing and processing acquired sensor information;

the fault information processing board card (3) is used for interacting with a terminal (5), and the terminal (5) completes information display and man-machine interaction;

the sensor information acquisition board card (4) is used for acquiring sensing signals from the first type of sensor assembly (4-2) and the second type of sensor assembly (4-3).

2. Escalator maintenance strategy generating system according to claim 1, characterized in that the sensor components of the first type (4-2) are sensors monitoring the escalator components and the sensor components of the second type (4-3) are sensors arranged in the operating environment of the escalator components.

3. The escalator maintenance strategy creation system of claim 1, wherein the sensor information acquisition board card comprises: and the data acquisition card (4-1) is used for acquiring the sensing data of the sensor components (4-2, 4-3) and immediately sending the sensing data to the sensor information processing board card (2) for processing.

4. The escalator maintenance strategy generation system according to claim 1, wherein the terminal (5) includes a man-machine interaction module, and the man-machine interaction module is configured to receive and display preventive maintenance strategy interaction information processed by the fault information processing board (3), and receive and execute inquiry and data scheduling commands.

5. Escalator maintenance strategy generation system according to claim 1, characterized by the fact that the troubleshooting terminal (7) is used to collect and record the overhaul and maintenance records of the escalator.

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