CN114815718A - Platform door intelligence early warning platform of total powerstation level - Google Patents
Platform door intelligence early warning platform of total powerstation level Download PDFInfo
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Abstract
The invention discloses an intelligent early warning platform for a station door of a total station level, which relates to the field of station doors, and comprises a gate controller, an external system and a main monitor which correspond to each station door in each station, are used for collecting fault points and fault occurrence time of the corresponding station and sending the fault points and the fault occurrence time to an industrial personal computer corresponding to the station, the industrial personal computer is transmitted to a background database, a sample set acquisition unit is used for acquiring the fault points, the fault occurrence time and the fault names corresponding to each station in the background database, a model training unit is used for taking the preset prediction time period and the fault names in the sample set as the input of a model and taking the fault occurrence time and the fault points in the prediction time period as the output of the model, a fully-connected neural network is trained to acquire a station door fault prediction model, and the fault points and the fault occurrence time corresponding to the fault names in the prediction time period are predicted through a station door fault prediction model, the intelligent early warning of the total station level is realized.
Description
Technical Field
The invention relates to the field of platform doors, in particular to an intelligent early warning platform for a platform door at a total station level.
Background
In the prior art, monitoring of subway platform doors can only carry out fault monitoring and simple early warning on a single platform, monitoring and early warning of a total station level (a platform included by a whole subway operating line) cannot be carried out, fault information of other platform shield doors cannot be remotely acquired, monitoring data of all platforms cannot be uniformly managed, in addition, the existing early warning function module cannot completely meet the current subway operation requirement, and the monitoring of a remote state of the total station level and intelligent early warning of the total station level cannot be achieved.
Disclosure of Invention
In order to solve the problems that fault monitoring and simple early warning can only be carried out on a single platform in the monitoring of the subway platform door at present, and the existing early warning module can not realize the remote state monitoring of the total station level and the intelligent early warning of the total station level, the invention provides an intelligent early warning platform of the total station level platform door, which comprises:
the intelligent monitoring system for the total station platform door comprises a background database and a fault early warning module;
the PSC control cabinet corresponding to each station comprises an industrial personal computer;
the gate controllers corresponding to each platform door in the platform are used for acquiring fault point positions and fault occurrence time of sliding doors, emergency doors and end doors included in the platform doors and sending the fault point positions and the fault occurrence time to the industrial personal computers corresponding to the platform;
the external system corresponding to each platform is used for acquiring fault point positions and fault occurrence time of corresponding external equipment in the platforms and sending the fault point positions and the fault occurrence time to the industrial personal computers corresponding to the platforms;
the comprehensive backup panel, the local control panel and the platform door central control panel corresponding to each platform;
the PSC control cabinet corresponding to each station further comprises: the main monitor is used for acquiring fault point positions and fault occurrence time generated when the comprehensive backup disc, the local control disc and the platform door central control disc control the opening and closing state of the platform door and sending the fault point positions and the fault occurrence time to the corresponding industrial personal computers;
the industrial personal computer is used for receiving data sent by the door controller, the external system and the main monitor and transmitting the data to the background database;
the fault early warning module comprises:
the system comprises a sample set acquisition unit, a background database and a data processing unit, wherein the sample set acquisition unit is used for acquiring a sample set, and the sample set comprises fault point locations, fault occurrence time and fault names of external equipment corresponding to each platform in the background database, fault point locations, fault occurrence time and fault names acquired by a main monitor, and fault point locations, fault occurrence time and fault names of sliding doors, emergency doors and end doors of platform doors corresponding to each platform; the fault name is obtained by analyzing the corresponding fault point location and the fault occurrence time in the background database;
the model training unit is used for training the fully-connected neural network to obtain a platform door fault prediction model by taking the fault names in a preset prediction time period and a sample set as the input of a model and the fault occurrence time and the fault point position in the prediction time period as the output of the model;
and the model prediction unit is used for inputting a preset prediction time period and a fault name to the platform door fault prediction model so as to predict the fault point position and the fault occurrence time corresponding to the fault name in the prediction time period.
Furthermore, the main monitor is also used for acquiring state point positions and operation signals generated when the comprehensive backup disc, the local control disc and the platform door central control disc control the state of the platform door switch, and sending the state point positions and the operation signals to the industrial personal computer.
Further, the platform door switch includes: a door head lock switch, a motor switch, a machine body switch and a door opening in-place switch;
the operation signal includes: the comprehensive backup disc, the local control disc and the platform door central control disc control door opening and closing commands generated when the platform door is opened and closed.
Further, total station level platform door intelligent monitoring system still includes:
and the part replacement early warning module is used for acquiring the opening and closing times corresponding to each platform door switch according to the number of door opening and closing commands generated by each platform door switch in the background database, judging whether the opening and closing times corresponding to the platform door switch are greater than the preset times, and if so, carrying out early warning replacement on the platform door switch.
Furthermore, the door controller is also used for acquiring the motor current, the sliding door travel data, the sliding door closing locking signal, the safety loop voltage value, the storage battery internal resistance value, the door body running speed and the numerical value of the locking unit detection switch state corresponding to each moment of the platform door, and sending the numerical values to the industrial personal computer corresponding to the platform;
the total station platform door intelligent monitoring system further comprises:
a sub-health warning module, comprising:
the sample set acquisition unit is used for acquiring sample set data, and the sample set data comprises sub-health detection point data corresponding to a platform door, and the sub-health detection points of the platform door comprise: the system comprises a door body, a safety loop, a storage battery, door body kinetic energy and lock unit detection switches, wherein the sub-health detection point data is obtained in a background database:
the door body resistance abnormal data are specifically a motor current value of which the motor current is greater than a preset percentage of a preset current value in the door closing and opening processes of each platform door and the generation time of the motor current;
the door body centering abnormal data is specifically sliding door stroke data and corresponding generation time when the sliding door is closed and the sliding door stroke data does not reach the preset opening stroke range and a sliding door closing locking signal is formed or the sliding door stroke data reaches the preset opening stroke range and the sliding door closing locking signal is not formed;
the safety loop impedance standard exceeding data are safety loop voltage values which are larger than a preset percentage of a set value in the corresponding safety loop voltage values at each moment and the generation time of the safety loop voltage values;
the storage battery aging data is storage battery internal resistance values which are larger than a preset percentage of a set value in the storage battery internal resistance values corresponding to each moment, and the generation time of the storage battery internal resistance values;
the door body kinetic energy abnormal data are door body running speed which is not in a standard range in the door body running speed corresponding to each moment and the generation time of the door body running speed;
the method comprises the steps that a lock unit detects switch clamping stagnation data, specifically, two preset travel switches corresponding to a sliding door are released after the sliding door triggers to drop lock in the closing process of the sliding door, and when the difference value of the release time exceeds a preset value, the corresponding lock unit detects the switch state and the generation time;
the model training unit is used for training the fully-connected neural network to obtain a sub-health early warning model by taking the sub-health detection point data in a preset prediction time period and a sample set as the input of the model and the sub-health detection point data and the generation time in the prediction time period as the output of the model;
and the model prediction module is used for inputting a preset prediction time period and sub-health detection points to the sub-health early warning model so as to predict sub-health detection point data and generation time corresponding to the sub-health detection points in the prediction time period.
Further, the external system includes:
the power supply system corresponding to each platform is also used for responding to an inquiry request initiated by the intelligent monitoring system of the total station platform door and sending inquiry data to the industrial personal computer;
the detection system corresponding to each platform is also used for responding to an inquiry request initiated by the intelligent monitoring system of the total station platform door and sending inquiry data to the industrial personal computer;
the industrial personal computer is also used for receiving data sent by the power supply system and the detection system and transmitting the data to the background database.
Further, the total station platform door intelligent monitoring system further includes: and the total station UI function interface is used for displaying the state point location and the operation signal corresponding to each station, and the fault point location and the fault occurrence time corresponding to each station.
Further, the PSC control cabinet for each station further comprises: and the station UI function interface is used for displaying the state point location and the operation signal corresponding to the current station platform and the fault point location and the fault occurrence time corresponding to the current station platform.
Further, platform door intelligence early warning platform still includes:
the comprehensive monitoring system comprises a display screen and is used for initiating a query request to the intelligent monitoring system of the total station platform door so as to acquire data corresponding to the query request from the background database and display the data through the display screen.
Further, platform door intelligence early warning platform still includes:
and the signal system comprises a display screen and is used for initiating an inquiry request to the intelligent monitoring system of the total station platform door so as to acquire data corresponding to the inquiry request from the background database and display the data through the display screen.
Compared with the prior art, the invention at least has the following beneficial effects:
(1) the invention collects the fault point location and fault occurrence time of the corresponding station through the gate controller, the external system and the main monitor corresponding to each station gate in each station, and sends the fault point location and fault occurrence time to the industrial personal computer corresponding to the station, each industrial personal computer receives the data sent by the gate controller, the external system and the main monitor in the corresponding station, and transmits the data to the background database, the sample set acquisition unit is used for acquiring the fault point location, fault occurrence time and fault name of the external device corresponding to each station in the background database, the fault point location, fault occurrence time and fault name acquired by the main monitor, and the fault point location, fault occurrence time and fault name of the sliding door, emergency door and end door included in each station gate, and the fault name in the preset prediction period and the sample set are used as the input of the model through the model training unit, and the fault occurrence time and fault in the prediction period are used as the output of the model, the method comprises the steps of training a fully-connected neural network to obtain a platform door fault prediction model, inputting a preset prediction time period and a preset fault name to the platform door fault prediction model to predict a fault point location and fault occurrence time corresponding to the fault name in the prediction time period, realizing unified prediction (or early warning) of each station in a subway operation line, and realizing intelligent early warning of all-station fault point locations, wherein compared with an early warning mode of a single station, the method greatly improves early warning efficiency and reduces early warning cost;
(2) the method comprises the steps of obtaining door opening and closing commands generated when the platform doors are controlled to be opened and closed by the comprehensive backup disc, the local control disc and the platform door central control disc corresponding to each platform, obtaining opening and closing times corresponding to the platform door switches according to the number of the door opening and closing commands generated by the platform door switches correspondingly, judging whether the opening and closing times corresponding to the platform door switches are larger than preset times or not, and if yes, carrying out early warning replacement on the platform door switches, so that intelligent early warning of the total-station platform door switches is realized;
(3) in the sub-health early warning module, the sub-health detection point data corresponding to the platform door is obtained through a sample set obtaining unit: the method comprises the steps that door body resistance abnormal data, door body centering abnormal data, safety loop impedance standard exceeding data, storage battery aging data, door body kinetic energy abnormal data and lock unit detection switch clamping stagnation data are input by taking sub-health detection point data in a preset prediction time period and a sample set as a model, sub-health detection point data and generation time in the prediction time period as output of the model, a full-connection neural network is trained to obtain a sub-health early warning model, sub-health detection point data and generation time corresponding to the sub-health detection point in the prediction time period are predicted by inputting the preset prediction time period and the sub-health detection point to the sub-health early warning model, and intelligent early warning of the sub-health detection point corresponding to each platform door in the total station level is achieved;
(4) according to the invention, the status point location and the operation signal corresponding to each station platform, and the fault point location and the fault occurrence time corresponding to each station platform are displayed through the total station UI functional interface, so that the total station data monitoring is realized;
(5) the invention realizes the intelligent early warning of the total station level while realizing the data monitoring of the total station level, improves the subway operation efficiency and reduces the operation cost;
(6) according to the invention, the full-station-level intelligent early warning is carried out on the sub-health detection point, the platform door switch and the platform fault point, so that the full-station-level multi-dimensional early warning is realized.
Drawings
Fig. 1 is a platform structure diagram of an intelligent early warning platform for a station gate of a total station.
Detailed Description
The following are specific embodiments of the present invention and are further described with reference to the drawings, but the present invention is not limited to these embodiments.
Example one
In order to realize the intelligent early warning and data monitoring of the total station, as shown in fig. 1, the invention provides an intelligent early warning platform of a platform door of the total station, comprising:
the intelligent monitoring system for the total station platform door comprises a background database and a fault early warning module;
the PSC control cabinet corresponding to each station comprises an industrial personal computer;
the gate controllers corresponding to each platform door in the platform are used for acquiring fault point positions and fault occurrence time of sliding doors, emergency doors and end doors included in the platform doors and sending the fault point positions and the fault occurrence time to the industrial personal computers corresponding to the platform;
the external system corresponding to each station is used for acquiring fault point positions and fault occurrence time of external equipment corresponding to the stations and sending the fault point positions and the fault occurrence time to the industrial personal computers corresponding to the stations;
the external systems include a laser system, a power system and other external systems, wherein the power system is further configured to obtain a fault point location and a fault occurrence time of the power supply, and send the fault point location and the fault occurrence time to the industrial personal computer corresponding to the station; the laser system is also used for acquiring fault point positions and fault occurrence time of the laser equipment and sending the fault point positions and the fault occurrence time to an industrial personal computer corresponding to the platform;
the comprehensive backup panel (IBP in figure 1), the local control panel (PSL in figure 1) and the platform door central control panel corresponding to each platform;
the PSC control cabinet corresponding to each station further comprises: the main monitor is used for acquiring fault point positions and fault occurrence time generated when the comprehensive backup disc, the local control disc and the platform door central control disc control the opening and closing state of the platform door, and transmitting the fault point positions and the fault occurrence time to the corresponding industrial personal computers through Ethernet; the industrial personal computer is provided with an RJ45 network port connected with an Ethernet;
the industrial personal computer is used for receiving data sent by the door controller, the external system and the main monitor and transmitting the data to the background database;
the fault early warning module comprises:
the system comprises a sample set acquisition unit, a background database and a data processing unit, wherein the sample set acquisition unit is used for acquiring a sample set, and the sample set comprises fault point locations, fault occurrence time and fault names of external equipment corresponding to each platform in the background database, fault point locations, fault occurrence time and fault names acquired by a main monitor, and fault point locations, fault occurrence time and fault names of sliding doors, emergency doors and end doors included by platform doors corresponding to each platform; the fault name is obtained by analyzing the corresponding fault point location and the fault occurrence time in the background database;
the model training unit is used for training the fully-connected neural network to obtain a platform door fault prediction model by taking a preset prediction time period (which is a settable unit time length) and fault names in a sample set as the input of a model and taking fault occurrence time and fault point positions in the prediction time period as the output of the model;
and the model prediction unit is used for inputting a preset prediction time period and a fault name to the platform door fault prediction model so as to predict the fault point position and the fault occurrence time corresponding to the fault name in the prediction time period.
The invention collects the fault point location and fault occurrence time of the corresponding station through the gate controller, the external system and the main monitor corresponding to each station gate in each station, and sends the fault point location and fault occurrence time to the industrial personal computer corresponding to the station, each industrial personal computer receives the data sent by the gate controller, the external system and the main monitor in the corresponding station, and transmits the data to the background database, the sample set acquisition unit is used for acquiring the fault point location, fault occurrence time and fault name of the external device corresponding to each station in the background database, the fault point location, fault occurrence time and fault name acquired by the main monitor, and the fault point location, fault occurrence time and fault name of the sliding door, emergency door and end door included in each station gate, and the fault name in the preset prediction period and the sample set are used as the input of the model through the model training unit, and the fault occurrence time and fault in the prediction period are used as the output of the model, the method and the device have the advantages that the fully-connected neural network is trained to obtain the platform door fault prediction model, the preset prediction time period and the preset fault name are input into the platform door fault prediction model to predict the fault point location and the fault occurrence time corresponding to the fault name in the prediction time period, unified prediction (or early warning) of all stations in the subway operation line is realized, and intelligent early warning of all-station-level fault point locations is realized.
And the main monitor is also used for acquiring state point positions and operation signals generated when the comprehensive backup disc, the local control disc and the platform door central control disc control the state of the platform door switch and sending the state point positions and the operation signals to the industrial personal computer.
The platform door switch includes: a door head lock switch, a motor switch, a machine body switch and a door opening in-place switch;
the operation signal includes: the comprehensive backup disc, the local control disc and the platform door central control disc control door opening and closing commands generated when the platform door is opened and closed.
The total station platform door intelligent monitoring system further comprises:
and the part replacement early warning module is used for acquiring the opening and closing times corresponding to each platform door switch according to the number of door opening and closing commands generated by each platform door switch in the background database, judging whether the opening and closing times corresponding to the platform door switch are greater than the preset times, and if so, carrying out early warning replacement on the platform door switch.
According to the invention, door opening and closing commands generated when the platform doors are controlled by the comprehensive backup panel, the local control panel and the platform door central control panel corresponding to each platform are obtained, the opening and closing times corresponding to each platform door switch are obtained according to the number of the door opening and closing commands generated correspondingly by each platform door switch, whether the opening and closing times corresponding to the platform door switch are greater than the preset times or not is judged, if yes, the platform door switch is early-warned and replaced, and the intelligent early warning of the total-station platform door switch is realized.
The door controller is also used for acquiring motor current, sliding door travel data, sliding door closing locking signals, safety loop voltage values, storage battery internal resistance values, door body operation speed and numerical values of the locking unit detection switch states corresponding to the platform door at each moment, and sending the numerical values to an industrial personal computer corresponding to the platform;
the total station platform door intelligent monitoring system further comprises:
a sub-health warning module, comprising:
the sample set acquisition unit is used for acquiring sample set data, and the sample set data comprises sub-health detection point data corresponding to a platform door, and the sub-health detection points of the platform door comprise: the system comprises a door body, a safety loop, a storage battery, door body kinetic energy and lock unit detection switches, wherein the sub-health detection point data is obtained in a background database:
the door body resistance abnormal data are specifically a motor current value of which the motor current is greater than a preset percentage of a preset current value in the door closing and opening processes of each platform door and the generation time of the motor current;
the door body centering abnormal data is specifically sliding door stroke data and corresponding generation time when the sliding door is closed and the sliding door stroke data does not reach the preset opening stroke range and a sliding door closing locking signal is formed or the sliding door stroke data reaches the preset opening stroke range and the sliding door closing locking signal is not formed;
the safety loop impedance standard exceeding data are the safety loop voltage value which is greater than a preset percentage in the corresponding safety loop voltage values at each moment and the generation time of the safety loop voltage value;
the storage battery aging data is storage battery internal resistance values which are larger than a preset percentage of a set value in the storage battery internal resistance values corresponding to each moment, and the generation time of the storage battery internal resistance values;
the door body kinetic energy abnormal data are door body running speed which is not in a standard range in the door body running speed corresponding to each moment and the generation time of the door body running speed;
the method comprises the steps that a lock unit detects switch clamping stagnation data, specifically, two preset travel switches corresponding to a sliding door are released after the sliding door triggers to drop lock in the closing process of the sliding door, and when the difference value of the release time exceeds a preset value, the corresponding lock unit detects the switch state and the generation time;
the model training unit is used for training the fully-connected neural network to obtain a sub-health early warning model by taking the sub-health detection point data in a preset prediction time period and a sample set as the input of the model and the sub-health detection point data and the generation time in the prediction time period as the output of the model;
the model prediction module is used for inputting a preset prediction time period (which is a preset unit time length) and sub-health detection points to the sub-health early warning model so as to predict sub-health detection point data and generation time corresponding to the sub-health detection points in the prediction time period.
In the sub-health early warning module, the sub-health detection point data corresponding to the platform door is obtained through a sample set obtaining unit: the method comprises the steps of obtaining door body resistance abnormal data, door body centering abnormal data, safety loop impedance standard exceeding data, storage battery aging data, door body kinetic energy abnormal data and lock unit detection switch clamping stagnation data, taking sub-health detection point data in a preset prediction time period and a sample set as input of a model, taking sub-health detection point data and generation time in the prediction time period as output of the model, training a full-connection neural network to obtain a sub-health early warning model, and predicting sub-health detection point data and generation time corresponding to the sub-health detection point in the prediction time period by inputting the preset prediction time period and the sub-health detection point to the sub-health early warning model, so that intelligent early warning of the sub-health detection point corresponding to each platform door in the total station level is achieved.
The external system includes:
the power supply system corresponding to each station platform is also used for responding to an inquiry request initiated by the intelligent monitoring system of the station platform door of the total station and sending inquiry data to the industrial personal computer through an Ethernet protocol;
the detection system corresponding to each platform is also used for responding to an inquiry request initiated by the intelligent monitoring system of the total station platform door and sending inquiry data to the industrial personal computer through an Ethernet protocol;
the industrial personal computer is also used for receiving data sent by the power supply system and the detection system and transmitting the data to the background database.
The total station level platform door intelligent monitoring system still includes: and the total station UI functional interface is used for displaying the state point positions and the operation signals corresponding to the stations, the fault point positions and the fault occurrence time corresponding to the stations, and is also used for displaying data information predicted by the fault early warning module and the sub-health early warning module and early warning information for early warning and replacement of the part replacement early warning module so as to realize the total station multi-dimensional early warning.
According to the invention, the status point location and the operation signal corresponding to each station platform, and the fault point location and the fault occurrence time corresponding to each station platform are displayed through the total station UI functional interface, so that the total station data monitoring is realized.
The PSC control cabinet corresponding to each station further comprises: and the station UI function interface is used for displaying the state point location and the operation signal corresponding to the current station platform and the fault point location and the fault occurrence time corresponding to the current station platform.
It should be noted that the station-level UI functional interface is installed in the PSC control cabinet, communicates with an industrial personal computer in the PSC control cabinet, and is further used for displaying status information and fault information of a power system corresponding to the station and equipment in the detection system.
Platform door intelligence early warning platform still includes:
the comprehensive monitoring system comprises a display screen and is used for initiating a query request to the intelligent monitoring system of the total station platform door so as to acquire data corresponding to the query request from the background database and display the data through the display screen.
Platform door intelligence early warning platform still includes:
and the signal system comprises a display screen and is used for initiating an inquiry request to the intelligent monitoring system of the total station platform door so as to acquire data corresponding to the inquiry request from the background database and display the data through the display screen.
According to the invention, the full-station intelligent early warning is carried out on the sub-health detection point, the platform door switch and the platform door fault point, so that the full-station multi-dimensional early warning is realized.
It should be noted that all the directional indicators (such as up, down, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly. Moreover, descriptions of the present invention as relating to "first," "second," "a," etc. are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicit ly indicating a number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise. In the present invention, unless otherwise expressly stated or limited, the terms "connected," "secured," and the like are to be construed broadly, and for example, "secured" may be a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood according to specific situations by those of ordinary skill in the art. In addition, the technical solutions in the embodiments of the present invention may be combined with each other, but it must be based on the realization of those skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination of technical solutions should not be considered to exist, and is not within the protection scope of the present invention.
Claims (10)
1. The utility model provides a platform door intelligence early warning platform of total powerstation level which characterized in that includes:
the intelligent monitoring system for the total station platform door comprises a background database and a fault early warning module;
the PSC control cabinet corresponding to each station comprises an industrial personal computer;
the gate controllers corresponding to each platform door in the platform are used for acquiring fault point positions and fault occurrence time of sliding doors, emergency doors and end doors included in the platform doors and sending the fault point positions and the fault occurrence time to the industrial personal computers corresponding to the platform;
the external system corresponding to each station is used for acquiring fault point positions and fault occurrence time of external equipment corresponding to the stations and sending the fault point positions and the fault occurrence time to the industrial personal computers corresponding to the stations;
the comprehensive backup panel, the local control panel and the platform door central control panel corresponding to each platform;
the PSC control cabinet corresponding to each station further comprises: the main monitor is used for acquiring fault point positions and fault occurrence time generated when the comprehensive backup disc, the local control disc and the platform door central control disc control the opening and closing state of the platform door and sending the fault point positions and the fault occurrence time to the corresponding industrial personal computers;
the industrial personal computer is used for receiving data sent by the door controller, the external system and the main monitor and transmitting the data to the background database;
the fault early warning module comprises:
the system comprises a sample set acquisition unit, a background database and a data processing unit, wherein the sample set acquisition unit is used for acquiring a sample set, and the sample set comprises fault point locations, fault occurrence time and fault names of external equipment corresponding to each platform in the background database, fault point locations, fault occurrence time and fault names acquired by a main monitor, and fault point locations, fault occurrence time and fault names of sliding doors, emergency doors and end doors included by platform doors corresponding to each platform; the fault name is obtained by analyzing the corresponding fault point location and the fault occurrence time in the background database;
the model training unit is used for training the fully-connected neural network to obtain a platform door fault prediction model by taking the fault names in a preset prediction time period and a sample set as the input of the model and the fault occurrence time and the fault point position in the prediction time period as the output of the model;
and the model prediction unit is used for inputting a preset prediction time period and a fault name to the platform door fault prediction model so as to predict the fault point position and the fault occurrence time corresponding to the fault name in the prediction time period.
2. The platform door intelligent early warning platform of a total station level according to claim 1, wherein the main monitor is further configured to obtain a status point location and an operation signal generated when the comprehensive backup panel, the local control panel and the platform door central control panel control the status of the platform door switch, and send the status point location and the operation signal to the industrial personal computer.
3. The intelligent early warning platform for platform doors of all stations in claim 2, wherein said platform door switch comprises: a door head lock switch, a motor switch, a machine body switch and a door opening in-place switch;
the operation signal includes: the comprehensive backup disc, the local control disc and the platform door central control disc control door opening and closing commands generated when the platform door is opened and closed.
4. The intelligent early warning platform for platform doors of total station according to claim 3, wherein said intelligent monitoring system for platform doors of total station further comprises:
and the part replacement early warning module is used for acquiring the opening and closing times corresponding to each platform door switch according to the number of door opening and closing commands generated by each platform door switch in the background database, judging whether the opening and closing times corresponding to the platform door switch are greater than the preset times, and if so, carrying out early warning replacement on the platform door switch.
5. The platform door intelligent early warning platform of a total station level according to claim 3, wherein the door controller is further configured to collect motor current, sliding door travel data, sliding door closing and locking signals, a safety loop voltage value, a storage battery internal resistance value, a door body operation speed and a lock unit detection switch state value corresponding to each time of the platform door, and send the values to an industrial personal computer corresponding to the platform;
the total station platform door intelligent monitoring system further comprises:
a sub-health warning module, comprising:
the sample set acquisition unit is used for acquiring sample set data, and the sample set data comprises sub-health detection point data corresponding to a platform door, and the sub-health detection points of the platform door comprise: the system comprises a door body, a safety loop, a storage battery, door body kinetic energy and lock unit detection switches, wherein the sub-health detection point data is obtained in a background database:
the door body resistance abnormal data are specifically a motor current value of which the motor current is greater than a preset percentage of a preset current value in the door closing and opening processes of each platform door and the generation time of the motor current;
the door body centering abnormal data is specifically sliding door stroke data and corresponding generation time when the sliding door is closed and the sliding door stroke data does not reach the preset opening stroke range and a sliding door closing locking signal is formed or the sliding door stroke data reaches the preset opening stroke range and the sliding door closing locking signal is not formed;
the safety loop impedance standard exceeding data are safety loop voltage values which are larger than a preset percentage of a set value in the corresponding safety loop voltage values at each moment and the generation time of the safety loop voltage values;
the storage battery aging data is storage battery internal resistance values which are larger than a preset percentage of a set value in the storage battery internal resistance values corresponding to each moment, and the generation time of the storage battery internal resistance values;
the door body kinetic energy abnormal data are door body running speed which is not in a standard range in the door body running speed corresponding to each moment and the generation time of the door body running speed;
the method comprises the steps that a lock unit detects switch clamping stagnation data, specifically, two preset travel switches corresponding to a sliding door are released after the sliding door triggers to drop lock in the closing process of the sliding door, and when the difference value of the release time exceeds a preset value, the corresponding lock unit detects the switch state and the generation time;
the model training unit is used for training the fully-connected neural network to obtain a sub-health early warning model by taking the sub-health detection point data in a preset prediction time period and a sample set as the input of the model and the sub-health detection point data and the generation time in the prediction time period as the output of the model;
and the model prediction module is used for inputting a preset prediction time period and sub-health detection points to the sub-health early warning model so as to predict sub-health detection point data and generation time corresponding to the sub-health detection points in the prediction time period.
6. The platform door intelligent warning platform of a total station according to claim 1, wherein the external system comprises:
the power supply system corresponding to each platform is also used for responding to an inquiry request initiated by the intelligent monitoring system of the total station platform door and sending inquiry data to the industrial personal computer;
the detection system corresponding to each platform is also used for responding to an inquiry request initiated by the intelligent monitoring system of the total station platform door and sending inquiry data to the industrial personal computer;
the industrial personal computer is also used for receiving data sent by the power supply system and the detection system and transmitting the data to the background database.
7. The intelligent early warning platform for platform doors of total station according to claim 6, wherein said intelligent monitoring system for platform doors of total station further comprises: and the total station UI function interface is used for displaying the state point location and the operation signal corresponding to each station, and the fault point location and the fault occurrence time corresponding to each station.
8. The intelligent early warning platform for platform doors in total stations as claimed in claim 2, wherein the PSC control cabinet corresponding to each platform further comprises: and the station UI function interface is used for displaying the state point location and the operation signal corresponding to the current station platform and the fault point location and the fault occurrence time corresponding to the current station platform.
9. The station door intelligent warning platform of claim 6, wherein said station door intelligent warning platform further comprises:
the comprehensive monitoring system comprises a display screen and is used for initiating a query request to the intelligent monitoring system of the total station platform door so as to acquire data corresponding to the query request from the background database and display the data through the display screen.
10. The station door intelligent warning platform of claim 6, wherein said station door intelligent warning platform further comprises:
and the signal system comprises a display screen and is used for initiating an inquiry request to the intelligent monitoring system of the total station platform door so as to acquire data corresponding to the inquiry request from the background database and display the data through the display screen.
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