CN116202795A - Gate running state prediction system, method, computer equipment and storage medium - Google Patents
Gate running state prediction system, method, computer equipment and storage medium Download PDFInfo
- Publication number
- CN116202795A CN116202795A CN202111454325.3A CN202111454325A CN116202795A CN 116202795 A CN116202795 A CN 116202795A CN 202111454325 A CN202111454325 A CN 202111454325A CN 116202795 A CN116202795 A CN 116202795A
- Authority
- CN
- China
- Prior art keywords
- gate
- phase
- pressure
- module
- state
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/008—Subject matter not provided for in other groups of this subclass by doing functionality tests
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/20—Hydro energy
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Devices For Checking Fares Or Tickets At Control Points (AREA)
Abstract
The application belongs to the technical field of rail transit, and discloses a gate running state prediction system, a gate running state prediction method, computer equipment and a storage medium, wherein the gate running state prediction system comprises: the system comprises a state acquisition module, a state analysis module and an abnormality diagnosis module, wherein the state acquisition module is used for acquiring the running state parameters of a gate; the state analysis module is used for analyzing the gate operation state parameters acquired by the state acquisition module; the abnormality diagnosis module is used for carrying out abnormality prediction on the running state of the gate according to the analysis result of the state analysis module. The system can predict whether the running state of the core part of the gate is normal in advance, and timely inform maintenance personnel of maintenance, so that passengers are injured or the service condition is influenced after the gate part breaks down.
Description
Technical Field
The present disclosure relates generally to the field of rail transit technology, and more particularly, to a gate operation state prediction system, a method, a computer device, and a storage medium.
Background
In recent years, with the rapid development of the track industry, track equipment has been drastically increased. At present, in the aspect of gate state maintenance in the traditional track industry, a plurality of detection mechanisms are added, but the push and warning of the state are carried out based on the occurring fault points. Once a fault occurs, it is only possible to wait for maintenance. Meanwhile, when a malfunction occurs, passengers may be injured, such as sudden damage to the gate control panel, which may be caught by passengers who are passing.
Disclosure of Invention
In view of the foregoing drawbacks and deficiencies of the prior art, it is desirable to provide a gate operating state prediction system, method, computer device and storage medium.
In a first aspect, a gate operating state prediction system is provided, including: a state acquisition module, a state analysis module and an abnormality diagnosis module, wherein,
the state acquisition module is used for acquiring the running state parameters of the gate;
the state analysis module is used for analyzing the gate operation state parameters acquired by the state acquisition module;
the abnormality diagnosis module is used for carrying out abnormality prediction on the running state of the gate according to the analysis result of the state analysis module.
In a second aspect, a method for predicting an operation state of a gate is provided, including:
acquiring a gate running state parameter;
analyzing the running state parameters of the gate;
and carrying out abnormal prediction on the running state of the gate according to the analysis result of the running state parameters of the gate.
In a third aspect, there is provided a computer device comprising:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the gate operating state prediction methods provided in accordance with various embodiments of the present invention.
In a fourth aspect, a computer-readable storage medium storing a computer program for causing a computer to execute the gate operation state prediction method provided according to the embodiments of the present invention is provided.
In the gate running state prediction system, the method, the computer equipment and the storage medium provided by the embodiment of the application, the gate running state parameters are acquired through the state acquisition module, the gate running state parameters acquired through the state acquisition module are analyzed through the state analysis module, finally, the running state of the gate is predicted abnormally through the abnormality diagnosis module according to the analysis result of the state analysis module, whether the running state of a core part of the gate is normal or not can be predicted in advance, the next maintenance direction of the gate equipment can be mastered quickly through the state prediction, and a plurality of potential risks can be avoided through reasonable prediction.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings, in which:
FIG. 1 is an exemplary block diagram of a gate operating state prediction system provided in an embodiment of the present application;
FIG. 2 is a schematic diagram of a specific structure of a gate operation state prediction system according to an embodiment of the present application;
FIG. 3 is an exemplary flowchart of a method for predicting an operation state of a gate according to an embodiment of the present disclosure;
FIG. 4 is an exemplary flow chart of a preferred embodiment of a method for predicting a gate operating state according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be noted that, for convenience of description, only the portions related to the invention are shown in the drawings.
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Referring to fig. 1, an exemplary architecture diagram of a gate operation state prediction system according to an embodiment of the present application is shown.
As shown in fig. 1, in this embodiment, the gate operation state prediction system 100 provided in the present invention includes: a status acquisition module 110, a status analysis module 120, and an anomaly diagnosis module 130, wherein,
the state acquisition module 110 is used for acquiring the running state parameters of the gate;
the state analysis module 120 is configured to analyze the gate operation state parameters acquired by the state acquisition module 110;
the abnormality diagnosis module 130 is configured to perform abnormality prediction on the operation state of the gate according to the analysis result of the state analysis module 120.
Specifically, the existing brake maintenance method is to wait until the brake equipment fails, report to the station control system and then carry out maintenance treatment, however, once the failure occurs, the use is affected, and passengers are possibly injured. By adopting the gate running state prediction system provided by the embodiment of the application, the running state of the core component of the gate is predicted in real time, the fault risk of potential gate equipment is processed in time, and a large transition from the fault point maintenance to the prediction of the abnormal running state of the gate is achieved. The gate running state prediction system provided by the embodiment of the application can predict whether the running state of the core component of the gate is normal in advance, and timely inform maintenance personnel to overhaul, so that passengers are injured or the service condition is influenced after the component fails, and the gate running state prediction system has great practical significance.
In one embodiment, as shown in fig. 2, the state acquisition module 110 includes a voltage sensor 111, a phase sensor 112, and a pressure sensor 113; wherein, the voltage sensor 111 is installed on a gate logic board of the gate; the phase sensor 112 and the pressure sensor 113 are respectively arranged on a door of the gate; the voltage sensor 111 is used for acquiring a gate voltage value; the phase sensor 112 is used for acquiring a gate phase value; the pressure sensor 113 is used for acquiring a gate pressure value.
Specifically, the gate key equipment parts are a door and a gate control logic board, and the phase sensor 112 and the pressure sensor 113 are arranged at the door, and the voltage sensor 111 is added on the gate control logic board, so that the phase, the pressure and the voltage value of the gate can be obtained in real time, and data support is provided for the prediction of the abnormal running state of the subsequent gate.
In one embodiment, as shown in fig. 2, the state analysis module 120 includes a voltage analysis unit 121, a phase analysis unit 122, and a pressure analysis unit 123; wherein, the liquid crystal display device comprises a liquid crystal display device,
the voltage analysis unit 121 is configured to perform voltage comparison analysis on the gate voltage value and the rated voltage value range acquired by the voltage sensor 111, and transmit the result of the voltage comparison analysis to the abnormality diagnosis module 130;
the phase analysis unit 122 is configured to perform phase comparison analysis on the gate phase value and the rated phase value range acquired by the phase sensor 112, and transmit the phase comparison analysis result to the anomaly diagnosis module 130;
the pressure analysis unit 123 is configured to perform pressure comparison analysis on the gate pressure value obtained by the pressure sensor 113 and the rated pressure value range, and transmit the pressure comparison analysis result to the abnormality diagnosis module 130.
Specifically, the gate operation state parameters acquired by the state acquisition module 110 are transmitted to the state analysis module 120 in the gate industrial personal computer through a serial port, the voltage analysis unit 121 in the state analysis module 120 performs voltage comparison analysis on the gate voltage value acquired by the voltage sensor 111 and the rated voltage value range, and if the gate voltage value acquired by the voltage sensor 111 exceeds the rated voltage value range, the voltage analysis unit 121 determines that the gate is abnormal in voltage and sends a voltage abnormality result to the abnormality diagnosis module 130; otherwise, the voltage analysis unit 121 determines that the gate is normally voltage. If the gate phase value acquired by the phase sensor 112 exceeds the rated phase value range, the phase analysis unit 122 determines that the gate is phase abnormal, and sends the phase abnormal result to the abnormality diagnosis module 130; otherwise, the phase analysis unit 122 determines that the gate is in normal phase. If the gate pressure value obtained by the pressure sensor 113 exceeds the rated pressure value range, the pressure analysis unit 123 determines that the gate is pressure abnormal, and sends the pressure abnormal result to the abnormality diagnosis module 130; otherwise, the pressure analysis unit 123 determines that the gate is under normal pressure.
In one embodiment, as shown in fig. 2, the gate running state prediction system further includes a ticket checking module 140, where the ticket checking module 140 is configured to authorize the gate door to open or close, and send the state information of the gate door to the abnormality diagnosis module 130.
Specifically, in this example, the original values obtained by the voltage sensor 111, the phase sensor 112, and the pressure sensor 113 are used as input interfaces, and meanwhile, based on the rated value (including the rated voltage range, the rated phase range, and the rated pressure range) of the equipment component and the authorization interface of the ticket acquiring and checking module 140, data fusion and logic judgment are performed, and finally, the fixed line is modeled for the running state of the gate equipment, so as to realize the output of the running state value of the gate. Specifically, the results of the abnormal gate operation states preliminarily determined by the phase analysis unit 122 and the pressure analysis unit 123 are combined with the authorization condition of the ticket checking module 140, and the authorization condition of the ticket checking module 140 includes whether the gate door is authorized to be opened or opened when the ticket checking module enters or exits, so as to determine that the corresponding gate phase and pressure are abnormal when the gate is opened or closed. The voltage analysis unit 121, the phase analysis unit 122 and the pressure analysis unit 123 are used for realizing the judgment of the preliminary abnormal state of the gate component, and the correction work of the judgment of the abnormal state of the gate is carried out by combining the authorization condition of the ticket checking module 140, and the final result of the running state of the gate is output through the abnormality diagnosis module 130.
In one embodiment, as shown in fig. 2, the gate running state prediction system further includes a station control subsystem 150 and/or an alarm 160; wherein, the liquid crystal display device comprises a liquid crystal display device,
the station control subsystem 150 is configured to schedule a worker to perform a gate fault removal operation according to an abnormality prediction result of the operation state of the gate by the abnormality diagnosis module 130;
the alarm device 160 is installed on the gate, and the alarm device 160 is configured to alert and prompt an abnormal prediction result of the operation state of the gate according to the abnormality diagnosis module 130.
Specifically, the abnormality diagnosis module 130 transmits the final gate operation status result to the station control subsystem 150 (SC) or/and the alarm device 160 through a TCP/IP (Transmission Control Protocol/Internet Protocol, transmission control/internet protocol) interface, and the SC system 150 schedules a worker to perform a gate troubleshooting operation according to the diagnosis result of the abnormality diagnosis module 130. Alarm prompts may also be provided by alarm devices 160 such as alarms or LED lights.
In one embodiment, as shown in fig. 3, the present application provides a method for predicting an operation state of a gate, including the following steps:
s200, acquiring the running state parameters of the gate.
Specifically, the gate operation state parameters include a gate voltage value, a phase value, and a pressure value. And acquires a gate voltage value by using the voltage sensor 111, acquires a gate phase value by using the phase sensor 112, and acquires a gate pressure value by using the pressure sensor 113.
S300, analyzing the operation state parameters of the gate.
Specifically, step S300 includes the following sub-steps:
s301, the voltage analysis unit 121 performs voltage comparison analysis on the gate voltage value and the rated voltage value range acquired by the voltage sensor 111, and transmits the result of the voltage comparison analysis to the abnormality diagnosis module 130.
The method comprises the following steps: if the gate voltage value U obtained by the voltage sensor 111 1 Outside the rated voltage range (U) min ,U max ) The voltage analysis unit 121 determines that the gate is abnormal in voltage and transmits the abnormal voltage result to the abnormality diagnosis module 130; otherwise, the voltage analysis unit 121 determines that the gate is normal in voltage, and continues to execute step S302; wherein U is min Is the rated voltage minimum value; u (U) max Is the rated voltage maximum.
S302, the phase analysis unit 122 is used for performing phase comparison analysis on the gate phase value and the rated phase value range acquired by the phase sensor 112, and the phase comparison analysis result is transmitted to the abnormality diagnosis module 130.
The method comprises the following steps: if the gate phase value phi obtained by the phase sensor 112 1 Exceeding the rated valuePhase value range (phi) min ,φ max ) The phase analysis unit 122 determines that the gate is phase abnormal, and sends the phase abnormal result to the abnormality diagnosis module 130; otherwise, the phase analysis unit 122 determines that the gate is in normal phase, and continues to execute step S303; wherein phi is min Is the nominal phase minimum; phi (phi) max Is the rated phase maximum.
S303, the pressure analysis unit 123 is used for performing pressure comparison analysis on the gate pressure value obtained by the pressure sensor 113 and the rated pressure value range, and transmitting the pressure comparison analysis result to the abnormality diagnosis module 130.
The method comprises the following steps: if the gate pressure value P obtained by the pressure sensor 113 1 Outside the rated pressure value range (P min ,P max ) The pressure analysis unit 123 determines that the gate is pressure abnormal, and transmits the pressure abnormal result to the abnormality diagnosis module 130; otherwise, the pressure analysis unit 123 determines that the gate is under normal pressure. Wherein P is min Is the rated pressure minimum value; p (P) max Is the rated pressure maximum.
In this example, the voltage analysis unit 121 determines whether the gate voltage is abnormal, if so, the abnormal operation state of the gate voltage is directly sent to the abnormality diagnosis module 130 for subsequent processing; if the gate voltage is normal, determining whether the gate phase is abnormal by adopting the phase analysis unit 122, and if the gate phase is abnormal, directly sending the running state of the abnormal gate phase to the abnormality diagnosis module 130 for subsequent processing; if the gate phase is normal, a pressure analysis unit 123 is adopted to determine whether the gate pressure is abnormal, and if the gate pressure is abnormal, the operation state of the abnormal gate pressure is directly sent to an abnormality diagnosis module 130 for subsequent processing; if the gate pressure is normal, the preliminary prediction gate is in a fault-free state. The voltage analysis unit 121, the phase analysis unit 122 and the pressure analysis unit 123 can be used for preliminarily predicting whether the running state of the main parts of the gate is abnormal, and when the running state of the gate is detected to be abnormal, the preliminary maintenance is immediately carried out, so that the risk is avoided, and the ticket checking delay or the accident of injuring passengers is greatly reduced.
In the embodiment of the present application, whether the phase is abnormal is determined first, then whether the pressure is abnormal is determined, or whether the pressure is abnormal is determined first, then whether the phase is abnormal is determined, and then step S303 may be executed, and step S302 may be executed.
In a preferred embodiment, as shown in fig. 4, step S303 further includes step S304: the ticket checking module 140 authorizes the gate door to open or close and transmits the status information of the gate door to the abnormality diagnosis module 130.
Specifically, in this example, the result of the abnormal gate operation state preliminarily determined by the phase analysis unit 122 and the pressure analysis unit 123 is combined with the authorization condition of the ticket checking module 140, where the authorization condition of the ticket checking module 140 includes whether the gate door is authorized to be opened or opened when the ticket checking module enters or exits, so as to determine that the corresponding gate phase and pressure are abnormal when the gate is opened or closed. The step S304 is specifically as follows:
when the phase analysis unit 122 determines that the gate is abnormal in phase, the abnormality diagnosis module 130 determines that the gate door is abnormal in phase when the gate is opened or closed according to the state information of the gate door acquired by the ticket checking module 140;
when the pressure analysis unit 123 determines that the gate is pressure abnormal, the abnormality diagnosis module 130 determines that the gate door is pressure abnormal when the gate is opened or closed according to the state information of the gate door acquired by the ticket checking module 140.
Further, in a preferred embodiment, the anomaly diagnosis module 130 determines, according to the status information of the door obtained by the ticket checking module 140, that the door is abnormal in phase when the door is opened or closed, specifically:
when the ticket checking module 140 authorizes the door opening, the abnormality diagnosis module 130 determines that the door of the gate has abnormal phase when the door is opened;
when the ticket checking module 140 authorizes the closing of the door, the anomaly diagnosis module 130 determines that the door of the gate door is out of phase when the door is closed.
Further, in a preferred embodiment, the abnormality diagnosis module 130 determines, according to the status information of the door obtained by the ticket checking module 140, that the door is abnormal in pressure when the door is opened or closed, specifically:
when the ticket checking module 140 authorizes the door opening, the abnormality diagnosis module 130 determines that the door of the gate door has abnormal pressure when the door is opened;
when the ticket checking module 140 authorizes the closing of the door, the anomaly diagnosis module 130 determines that the door of the gate door is pressure anomaly when the door is closed.
S400, carrying out abnormal prediction on the operation state of the gate according to the analysis result of the operation state parameters of the gate.
Specifically, the abnormality diagnosis module models the abnormal operation state of the gate according to the gate voltage abnormality determined by the voltage analysis unit, the gate phase abnormality determined by the phase analysis unit, and the gate pressure abnormality determined by the pressure analysis unit, and the modeling is performed by using unified modeling language (Unified Model Language, UML). The abnormal operation state modeling of the gate can also be performed according to the abnormal phase of the gate door determined by combining the phase analysis unit with the ticket checking module when the gate door is opened or closed and the abnormal pressure of the gate door determined by combining the pressure analysis unit with the ticket checking module when the gate door is opened or closed, so as to generate abnormal data protocol data specified by the system.
Further, in a preferred embodiment, as shown in fig. 3-4, step S400 is followed by step S500:
the abnormality diagnosis module 130 uploads an abnormality prediction result of the operation state of the gate to the station control subsystem 150 or/and the alarm device 160; wherein, the liquid crystal display device comprises a liquid crystal display device,
the station control subsystem 150 schedules a worker to perform gate fault removal according to an abnormality prediction result of the operation state of the gate by the abnormality diagnosis module 130;
the alarm device 160 gives an alarm according to the abnormality prediction result of the operation state of the gate by the abnormality diagnosis module 130.
Specifically, the abnormality diagnostic module 130 models abnormal operation states of the gate according to the abnormal gate voltage, abnormal phase, abnormal pressure, abnormal phase when the gate is opened or closed, and abnormal pressure when the gate is opened or closed, and the modeling is performed using unified modeling language (Unified Model Language, UML). If the abnormality diagnosis module 130 determines that any abnormal operation state exists in the gate, the station control subsystem 150 is informed through the TCP/IP interface, and the station control subsystem 150 generates a corresponding equipment maintenance list according to the abnormal operation state of the gate, and informs maintenance personnel to timely perform equipment fault removal work, so that the occurrence probability of gate accidents can be greatly reduced. Alarm prompts may also be provided by alarm devices 160 such as alarms or LED signals.
The method for predicting the running state of the gate provided by the embodiment of the application belongs to the monitoring of the state of the gate equipment parts of the automatic ticket sale (Automatic Fare Collection, AFC) project, and can be used for conducting investigation in advance through predicting the running state of the core parts of the gate, so that the problem of maintenance after faults are avoided, and the problem that the ticket sale operation is influenced when the gate breaks down or passengers are injured when the parts are abnormal is avoided greatly.
As shown in fig. 5, as another aspect, the present application also provides a computer apparatus 600 including one or more Central Processing Units (CPUs) 601, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage part 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the computer device 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other through a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, mouse, etc.; an output portion 607 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The drive 610 is also connected to the I/O interface 605 as needed. Removable media 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed as needed on drive 610 so that a computer program read therefrom is installed as needed into storage section 608.
In particular, the processes described above with reference to fig. 3-4 may be implemented as computer software programs according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing a gate operating state prediction method. In such an embodiment, the computer program may be downloaded and installed from a network through the communication portion 609, and/or installed from the removable medium 611.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As yet another aspect, the present application also provides a computer-readable storage medium, which may be a computer-readable storage medium contained in the apparatus described in the above embodiments; or may be a computer-readable storage medium, alone, that is not assembled into a device. The computer-readable storage medium stores one or more programs for use by one or more processors in performing the gate operating state prediction methods described herein.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present application may be implemented by software, or may be implemented by hardware. The described units or modules may also be provided in a processor, for example, each of the units may be a software program provided in a computer or a mobile smart device, or may be separately configured hardware devices. Wherein the names of the units or modules do not in some cases constitute a limitation of the units or modules themselves.
The foregoing description is only of the preferred embodiments of the present application and is presented as a description of the principles of the technology being utilized. It will be appreciated by persons skilled in the art that the scope of the invention referred to in this application is not limited to the specific combinations of features described above, but it is intended to cover other embodiments in which any combination of features described above or equivalents thereof is possible without departing from the spirit of the invention. Such as the above-described features and technical features having similar functions (but not limited to) disclosed in the present application are replaced with each other.
Claims (16)
1. A gate operating state prediction system, comprising: a state acquisition module, a state analysis module and an abnormality diagnosis module, wherein,
the state acquisition module is used for acquiring the running state parameters of the gate;
the state analysis module is used for analyzing the gate operation state parameters acquired by the state acquisition module;
the abnormality diagnosis module is used for carrying out abnormality prediction on the running state of the gate according to the analysis result of the state analysis module.
2. The brake operating state prediction system according to claim 1, wherein the state acquisition module comprises a voltage sensor, a phase sensor, and a pressure sensor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the voltage sensor is arranged on a gate control logic board of the gate; the phase sensor and the pressure sensor are respectively arranged on a door of the gate;
the voltage sensor is used for acquiring a gate voltage value; the phase sensor is used for acquiring a gate phase value; the pressure sensor is used for acquiring a gate pressure value.
3. The brake operating state prediction system according to claim 2, wherein the state analysis module includes a voltage analysis unit, a phase analysis unit, and a pressure analysis unit;
the voltage analysis unit is used for carrying out voltage comparison analysis on the gate voltage value and the rated voltage value range obtained by the voltage sensor and transmitting a voltage comparison analysis result to the abnormality diagnosis module;
the phase analysis unit is used for carrying out phase comparison analysis on the gate phase value obtained by the phase sensor and the rated phase value range, and transmitting a phase comparison analysis result to the abnormality diagnosis module;
the pressure analysis unit is used for performing pressure comparison analysis on the gate pressure value obtained by the pressure sensor and the rated pressure value range, and transmitting the pressure comparison analysis result to the abnormality diagnosis module.
4. The gate operating state prediction system according to claim 3, further comprising a ticket checking module, wherein the ticket checking module is configured to authorize the gate door to open or close, and send the state information of the gate door to the abnormality diagnosis module.
5. The gate operating state prediction system according to any one of claims 1 to 4, further comprising a station control subsystem or/and an alarm device; wherein, the liquid crystal display device comprises a liquid crystal display device,
the station control subsystem is used for arranging staff to conduct gate fault removal work according to an abnormal prediction result of the operation state of the gate by the abnormality diagnosis module;
the alarm device is arranged on the gate and used for carrying out alarm prompt on an abnormal prediction result of the running state of the gate according to the abnormal diagnosis module.
6. A method for predicting the running state of a gate is characterized by comprising the following steps:
acquiring a gate running state parameter;
analyzing the running state parameters of the gate;
and carrying out abnormal prediction on the running state of the gate according to the analysis result of the running state parameters of the gate.
7. The method of claim 6, wherein the gate operating state parameters include a gate voltage value, a phase value, and a pressure value; and the voltage sensor is adopted to obtain the gate voltage value, the phase sensor is adopted to obtain the gate phase value, and the pressure sensor is adopted to obtain the gate pressure value.
8. The method of claim 7, wherein the analyzing the gate operating state parameters specifically comprises:
a voltage analysis unit is adopted to carry out voltage comparison analysis on the gate voltage value and the rated voltage value range obtained by the voltage sensor, and the voltage comparison analysis result is transmitted to the abnormality diagnosis module;
a phase analysis unit is adopted to carry out phase comparison analysis on the gate phase value and the rated phase value range obtained by the phase sensor, and the phase comparison analysis result is transmitted to the abnormality diagnosis module;
and adopting a pressure analysis unit to carry out pressure comparison analysis on the gate pressure value and the rated pressure value range obtained by the pressure sensor, and transmitting the pressure comparison analysis result to the abnormality diagnosis module.
9. The method for predicting a gate operating state according to claim 8, wherein the analyzing the gate operating state parameter specifically comprises:
if the gate voltage value obtained by the voltage sensor exceeds the rated voltage value range, the voltage analysis unit determines that the gate is abnormal in voltage and sends a voltage abnormal result to the abnormality diagnosis module; otherwise, the voltage analysis unit determines that the gate is normal in voltage and continues to execute the next step;
if the gate phase value acquired by the phase sensor exceeds the rated phase value range, the phase analysis unit determines that the gate is abnormal in phase, and sends a phase abnormality result to an abnormality diagnosis module; otherwise, the phase analysis unit determines that the gate is normal in phase and continues to execute the next step;
if the gate pressure value obtained by the pressure sensor exceeds the rated pressure value range, the pressure analysis unit determines that the gate is abnormal in pressure, and sends a pressure abnormal result to an abnormality diagnosis module; otherwise, the pressure analysis unit determines that the gate is under normal pressure.
10. The method for predicting an operation state of a gate according to claim 9, wherein the predicting an abnormality of the operation state of the gate according to the analysis result of the operation state parameter of the gate specifically further comprises:
the ticket checking module authorizes the door of the gate to open or close and sends the state information of the gate door to the abnormality diagnosis module.
11. The method for predicting an operation state of a gate according to claim 10, wherein the predicting an abnormality of the operation state of the gate according to the analysis result of the operation state parameter of the gate specifically further comprises:
when the phase analysis unit determines that the gate is abnormal in phase, the abnormality diagnosis module determines that the gate door is abnormal in phase when the gate is opened or closed according to the state information of the gate door acquired by the ticket checking module;
when the pressure analysis unit determines that the gate is abnormal in pressure, the abnormality diagnosis module determines that the gate door is abnormal in pressure when the gate is opened or closed according to the state information of the gate door acquired by the ticket checking module.
12. The method for predicting a gate operating state according to claim 11, wherein the determining, by the abnormality diagnosis module, that the gate door is abnormal in phase when the gate door is opened or closed according to the state information of the gate door acquired by the ticket checking module is specifically:
when the ticket checking module authorizes the door opening, the abnormality diagnosis module determines that the door of the gate has abnormal phase when the door is opened;
when the ticket checking module authorizes the door closing, the abnormality diagnosis module determines that the phase abnormality occurs when the door of the gate is closed.
13. The method for predicting a gate operating state according to claim 11, wherein the abnormality diagnosis module determines, according to the state information of the gate door acquired by the ticket checking module, that the gate door is abnormal in pressure when the gate door is opened or closed, specifically:
when the ticket checking module authorizes the door opening, the abnormality diagnosis module determines that the door of the gate has abnormal pressure when the door is opened;
when the ticket checking module authorizes the door closing, the abnormality diagnosis module determines that the pressure abnormality occurs when the door of the gate is closed.
14. The method for predicting an operation state of a gate according to claim 11, further comprising, after performing an anomaly prediction on the operation state of the gate according to the analysis result of the operation state parameter of the gate:
the abnormality diagnosis module uploads an abnormality prediction result of the running state of the gate to the station control subsystem or/and the alarm device; wherein, the liquid crystal display device comprises a liquid crystal display device,
the station control subsystem arranges staff to conduct gate fault removal work according to an abnormal prediction result of the operation state of the gate by the abnormality diagnosis module;
and the alarm device carries out alarm prompt on an abnormal prediction result of the running state of the gate according to the abnormal diagnosis module.
15. A computer device, comprising:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the gate operating state prediction method of any of claims 6-14.
16. A computer-readable storage medium storing a computer program, wherein the program when executed by a processor implements the gate operating state prediction method according to any one of claims 6 to 14.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111454325.3A CN116202795A (en) | 2021-11-30 | 2021-11-30 | Gate running state prediction system, method, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111454325.3A CN116202795A (en) | 2021-11-30 | 2021-11-30 | Gate running state prediction system, method, computer equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116202795A true CN116202795A (en) | 2023-06-02 |
Family
ID=86506542
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111454325.3A Pending CN116202795A (en) | 2021-11-30 | 2021-11-30 | Gate running state prediction system, method, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116202795A (en) |
-
2021
- 2021-11-30 CN CN202111454325.3A patent/CN116202795A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CA3036410C (en) | Door controller with integrated data collection and transmission device and transmission processing method thereof | |
| US8291264B2 (en) | Method and system for failure prediction with an agent | |
| CN111204363B (en) | Fault diagnosis early warning and state evaluation method, device and system for traction system | |
| EP3254928A1 (en) | System and method for the asset management of railway trains | |
| KR101944070B1 (en) | Platform screen door management system and method with big data | |
| CN110017994B (en) | Method, apparatus, system, device and medium for detecting abnormality of autonomous vehicle | |
| CN108053041B (en) | Secondary system abnormity identification and anti-misoperation system and method under multi-association scene of transformer substation | |
| KR102235728B1 (en) | Fault prediction apparatus and method of electric type side entrance door of electric train | |
| KR20190049602A (en) | IoT based elevator pervasive autonomous system and method | |
| EP3470944B1 (en) | Method for providing an analytical artifact based on functional system description | |
| CN111830927A (en) | Vehicle fault monitoring method and device and vehicle-mounted diagnosis equipment | |
| KR101023533B1 (en) | Automatic train control real time remote restore system and its control method thereof | |
| WO2023185061A1 (en) | Function security system detection method and system, electronic device, and storage medium | |
| KR102402653B1 (en) | AI-based SCADA system and operating method thereof | |
| CN116202795A (en) | Gate running state prediction system, method, computer equipment and storage medium | |
| CN115324443B (en) | Automatic vehicle door alignment isolation system and method based on online detection | |
| JP2001084035A (en) | Operation monitoring system | |
| CN115140102B (en) | Urban rail transit platform door linkage control fault detection method and device | |
| JP2007230732A (en) | Operation control device of elevator | |
| CN115571196A (en) | Intelligent handling method and system for positive line fault based on rule engine | |
| Correa-Jullian et al. | Modeling fleet operations of autonomous driving systems in mobility as a service for safety risk analysis | |
| CN115320668B (en) | Platform door state detection system and method | |
| US20220107611A1 (en) | System and method for preemptive shutdown of utilities, facilities or systems in smart cities | |
| CN117734745A (en) | Full-automatic unmanned driver's cab linkage control device, method and equipment | |
| CN117703200A (en) | Anti-pinch system, method, equipment and medium for vehicle door linkage platform door |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |