CN111967780A - Method and system for supervising special vehicle operation process by means of airplane in airport - Google Patents
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Abstract
The invention discloses a method and a system for supervising the operation process of a special vehicle by a special vehicle in an airport, and relates to the technical field of airport safety management. The invention comprises the following steps: the intelligent terminal equipment is installed on the special vehicle, data collection and tracking recording are carried out on the operation process of the special vehicle, the operation process of the special vehicle is sent to the supervision platform in real time, the supervision platform draws an operation curve graph of each special vehicle in real time and compares the operation curve graph with a standard operation curve graph trained in advance, if the operation curve graph exceeds an error range allowed by the standard operation curve graph, an illegal point is marked immediately, real-time warning information is sent to a supervisor, and meanwhile, the system intervenes in vehicle braking. The invention can more intuitively discover the condition of illegal operation of the driver by the machine through real-time supervision of the operation of the driver by the machine, can keep the operation safety of the driver for a long time through targeted training and examination, and can effectively reduce the illegal condition.
Description
Technical Field
The invention relates to the technical field of airport safety management, in particular to a method and a system for supervising the operation process of special vehicles by an airport.
Background
In the technical field of airport safety management, most of the current anti-collision systems in the market realize an anti-collision function at a vehicle-mounted end (according to the requirements of a general office file), and have no data and rely on an airplane process management function.
Disclosure of Invention
The invention aims to provide a method and a system for supervising the operation process of a special vehicle by a special vehicle in an airport, which aim to solve the existing problems: the driver is easy to rely on the anti-collision system in the long-term operation process, and the driver can bring the accelerator to stop by relying on the system, so that danger is generated and even the driver is collided.
In order to solve the technical problems, the invention is realized by the following technical scheme:
a method for supervising the operation process of a special vehicle by an airport comprises the following steps:
the intelligent terminal equipment is installed on the special vehicle, and data acquisition, tracking and recording are carried out on the special vehicle in the operation process of the special vehicle, and the intelligent terminal equipment is sent to the supervision platform in real time;
the supervision platform draws a machine-dependent operation curve graph of each special vehicle in real time, compares the machine-dependent operation curve graph with a pre-trained standard machine-dependent quality curve graph, immediately marks violation points if the error range of the standard machine-dependent quality curve graph is exceeded, sends real-time warning information to a supervisor, and simultaneously, the system intervenes in vehicle braking;
the supervision platform carries out unified analysis and summary on the operation data of all special vehicles by the airplane every day to form the data content of the analysis by the airplane;
and the supervisor carries out targeted training and examination on the driver according to the data content of the airplane-dependent analysis.
Further optionally, in the above method, the data acquisition of the equipment depending on the machine operation process mainly includes:
acquiring data of a vehicle when the special vehicle is driven by the engine, wherein the data of the vehicle at least comprises the speed, the driving distance, the oil mass, the mileage, the position, the engine speed and the gear;
acquiring environmental data of a special vehicle when the special vehicle is driven by the airplane, wherein the environmental data at least comprises wind speed, temperature and driver information;
the method comprises the following steps of collecting intervention brake data when a special vehicle is leaned on the airplane, and collecting the data, wherein the brake data at least comprise the time and the force of system intervention brake.
Further optionally, the monitoring platform draws an operation curve of each special vehicle by the machine in real time, and compares the operation curve with a standard quality curve trained in advance, and mainly includes:
the standard machine-dependent quality curve graph is obtained by training in the following mode in advance:
selecting a special vehicle without any fault as a marked vehicle, and installing necessary intelligent terminal equipment without any fault on the marked vehicle;
selecting a special vehicle driver of TopN before ranking to drive the marked vehicle to carry out multiple times of standardized simulation operation, carrying out data acquisition and tracking record on the operation process of the equipment by a machine, and sending the data to a supervision platform;
and the supervision platform carries out data training according to the acquired data, and the training standard depends on the machine quality curve graph.
Further optionally, the sending of the real-time warning information to the supervisor is performed in at least one of a short message notification mode, an app message notification mode and a customer service voice prompt mode.
Further optionally, in the above method, the monitoring platform performs unified analysis and summary on the vehicle-dependent operation data of all the special vehicles every day to form vehicle-dependent analysis data content, and the method mainly includes:
drawing a comparison situation graph of the operation curve graph of each driver on the airplane and the standard quality curve graph of the driver on the airplane every day, and sending the comparison situation graph to the driver;
and sending the contents of the analysis data of all vehicles installed with the system in a certain station to a supervisor every day.
Further optionally, the contents of the machine-dependent analysis data at least include the number of vehicles for departure operation, the number of times of machine-dependent operation, the total number of violations, and the number of violations of each vehicle.
The invention provides a monitoring system for the operation process of a special vehicle by an aircraft in an airport, which comprises:
the intelligent terminal equipment is installed on the special vehicle and at least comprises a speed measuring instrument for measuring the vehicle speed of the special vehicle, a distance measuring instrument for measuring the distance between the special vehicle and the airplane and an information transmission module for transmitting data to the supervision platform;
the monitoring platform at least comprises a data training module, a comparison module, an information sending module and a data sorting module, wherein the data training module is used for training a standard machine-dependent quality curve graph, the comparison module is used for comparing the machine-dependent operation curve graph of each driver with the standard machine-dependent quality curve graph, the information sending module is used for sending information to the drivers and monitoring personnel, and the data sorting module is used for uniformly analyzing and gathering the machine-dependent operation data of all special vehicles every day;
the driver terminal is used for receiving the information sent by the supervision platform by the driver;
and the supervisor terminal is used for receiving the information sent by the supervision platform by the supervisor.
The invention has the following beneficial effects:
the invention can visually find the condition of illegal operation of the driver by the machine by using the system every day by monitoring the operation of the driver by the machine in real time, sends warning information to a monitoring personnel terminal by the monitoring platform, and can maintain the operation safety of the driver for a long time by analyzing the data content by the machine, thereby effectively reducing the illegal condition.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for supervising an operation process of a special vehicle in an airport according to an embodiment of the present invention.
Fig. 2 is a structural diagram of a supervision system for the operation process of a special vehicle in an airport according to a second embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
as shown in FIG. 1:
the invention discloses a method for supervising the operation process of a special vehicle by a locomotive in an airport, which comprises the following steps:
s1, establishing standard data for providing comparative data support for data of a large number of actual special vehicles in the process of operation by machines.
S101, firstly, selecting a special vehicle without any fault as a marked vehicle, and installing necessary intelligent terminal equipment on the marked vehicle;
s102, selecting a special vehicle driver of TopN before ranking to drive the marked vehicle to carry out multiple times of standardized simulation operation, and carrying out data acquisition and tracking record on the equipment operation process and sending the data to a monitoring platform in real time in the process;
acquiring data of a vehicle when the marked vehicle is close to the engine, wherein the data at least comprises the speed, the distance close to the engine, the oil mass, the mileage, the position, the engine speed and the gear; acquiring data of environment data when the marked vehicle is close to the airplane, wherein the data at least comprises wind speed, temperature and driver information; the data acquisition is required to be carried out on the intervention brake data acquisition when the marked vehicle is in a standby state, and at least comprises the time and the force of system intervention brake.
S103, the supervision platform carries out data training according to the data collected in the S102, and the training standard depends on a machine quality curve chart, such as: and the vehicle speed-vehicle-dependent distance on-machine quality data relation graph is trained by taking the vehicle-dependent distance as an abscissa and taking the vehicle speed as an ordinate.
And S2, data comparison.
S201, installing intelligent terminal equipment on each special vehicle, carrying out data acquisition and tracking recording on the operation process of the equipment by the machine, and sending the data to a supervision platform in real time, wherein the supervision platform draws a curve graph of the operation of each special vehicle by the machine in real time;
the data acquisition of the vehicle data when the special vehicle is driven by the engine is required, and the data acquisition at least comprises the vehicle speed, the driving distance, the oil mass, the mileage, the position, the engine speed and the gear; acquiring data of environment data of a special vehicle when the special vehicle is driven by the airplane, wherein the data at least comprises wind speed, temperature and driver information; the data acquisition is carried out on intervention brake data acquisition when a special vehicle is in a standby state, and at least comprises the time and the force of system intervention brake.
S202, comparing the machine-dependent operation curve graph of each special vehicle with a standard machine-dependent quality curve graph by a supervision platform, marking violation points immediately if the error range allowed by the standard machine-dependent quality curve graph is exceeded, sending real-time warning information to a supervisor, and simultaneously, enabling the system to intervene in vehicle braking;
here, the sending of the real-time warning information to the supervisory personnel may be performed by at least one of the following methods: short message notification mode, app message notification and customer service voice prompt.
And S3, data arrangement, wherein the supervision platform uniformly analyzes and summarizes the operation data of all special vehicles by the machine every day to form the analysis data content by the machine.
S301, sending and displaying a comparison condition graph of the operation curve graph of each driver on the airplane and the standard quality curve graph of the driver on the airplane to the driver;
s302, sending the contents of the airplane leaning analysis data of all vehicles provided with the system in a certain station to a supervisor.
Here, the contents of the machine-dependent analysis data include at least the number of vehicles that have been taken out of the vehicle, the number of times of machine-dependent work, the total number of violations, the number of violations of each vehicle, and the like.
By analyzing the data content by the machine, the whole machine-dependent quality data can be seen in more detail, and if an illegal action exists, the details such as the machine-dependent operation curve of the illegal action can be seen.
And S4, targeted training.
The supervisor analyzes the data content by means of machine to perform data statistics and analysis, and performs targeted training and examination on the driver aiming at the existing problems;
for example, Zhang a certain person has more times of overspeed phenomenon in the specific operation process of leaning on the machine, which needs to be trained in vehicle speed control and examined more strictly, and for example, in the specific operation process of leaning on the machine, the vehicle speed is obviously far lower than the standard data, phenomena of laziness, negative work and maloperation may exist, and the person can be guided in work efficiency training and thought according to the specific needs.
Example 2:
in order to realize the method of the embodiment 1, an airport is provided for a special vehicle dependent operation process supervision system;
as shown in fig. 2:
the system comprises intelligent terminal equipment, a supervision platform, a driver terminal and a supervision personnel terminal;
the intelligent terminal equipment is installed on a special vehicle and at least comprises a speed measuring instrument, a distance measuring instrument and an information transmission module; the speed measuring instrument and the distance measuring instrument are used for measuring the vehicle speed of the special vehicle and the distance between the special vehicle and the airplane, and the information transmission module is used for transmitting data to the supervision platform;
wherein, supervision platform at least including:
the data training module is used for training a standard machine-dependent quality curve graph;
the comparison module is used for comparing the operation curve graph of each driver on the airplane with the standard quality curve graph of the airplane;
and the information sending module is used for sending the information to the driver and the supervision personnel.
And the data sorting module is used for uniformly analyzing and summarizing the operation data of all special vehicles depending on the engine every day.
The driver terminal is used for receiving information sent by the supervision platform by a driver, namely a comparison condition graph of a machine-dependent operation graph and a standard machine-dependent quality graph of the driver;
the supervisor terminal is used for receiving the machine-dependent analysis data content sent by the supervision platform by the supervisor.
Here, the driver terminal and the supervisor terminal may specifically be an app based on systems such as android and ios, and may also be customized receiving terminals in other embodiments.
It will be appreciated that the programs for implementing the invention for information governance may be written in computer program code for carrying out operations of the invention in one or more programming languages, including an object oriented programming language such as Java, python, C + +, or a combination thereof, as well as conventional procedural programming languages, such as C or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the unit is only one logical function division, and there may be other division ways when the actual implementation is realized.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit. The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention.
And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. A method for supervising the operation process of a special vehicle by an airport is characterized by comprising the following steps:
the intelligent terminal equipment is installed on the special vehicle, and data acquisition, tracking and recording are carried out on the special vehicle in the operation process of the special vehicle, and the intelligent terminal equipment is sent to the supervision platform in real time;
the supervision platform draws a machine-dependent operation curve graph of each special vehicle in real time, compares the machine-dependent operation curve graph with a pre-trained standard machine-dependent quality curve graph, immediately marks violation points if the error range of the standard machine-dependent quality curve graph is exceeded, sends real-time warning information to a supervisor, and simultaneously, the system intervenes in vehicle braking;
the supervision platform carries out unified analysis and summary on the operation data of all special vehicles by the airplane every day to form the data content of the analysis by the airplane;
and the supervisor carries out targeted training and examination on the driver according to the data content of the airplane-dependent analysis.
2. The method of claim 1, wherein collecting data on the machine-dependent operation of the equipment comprises:
acquiring data of a vehicle when the special vehicle is driven by the engine, wherein the data of the vehicle at least comprises the speed, the driving distance, the oil mass, the mileage, the position, the engine speed and the gear;
acquiring environmental data of a special vehicle when the special vehicle is driven by the airplane, wherein the environmental data at least comprises wind speed, temperature and driver information;
the method comprises the following steps of collecting intervention brake data when a special vehicle is leaned on the airplane, and collecting the data, wherein the brake data at least comprise the time and the force of system intervention brake.
3. The method of claim 1, wherein the supervisory platform plots the locomotive operation profile of each special vehicle in real time and compares the locomotive operation profile with a pre-trained standard locomotive quality profile, consisting essentially of:
the standard machine-dependent quality curve graph is obtained by training in the following mode in advance:
selecting a special vehicle without any fault as a marked vehicle, and installing necessary intelligent terminal equipment without any fault on the marked vehicle;
selecting a special vehicle driver of TopN before ranking to drive the marked vehicle to carry out multiple times of standardized simulation operation, carrying out data acquisition and tracking record on the operation process of the equipment by a machine, and sending the data to a supervision platform;
and the supervision platform carries out data training according to the acquired data, and the training standard depends on the machine quality curve graph.
4. The method of claim 1, wherein the sending of the real-time warning message to the supervisor is performed in at least one of a short message notification mode, an app message notification mode and a customer service voice prompt mode.
5. The method of claim 1, wherein the supervision platform analyzes and summarizes the vehicle-dependent operation data of all special vehicles uniformly every day to form vehicle-dependent analysis data content, and mainly comprises:
drawing a comparison situation graph of the operation curve graph of each driver on the airplane and the standard quality curve graph of the driver on the airplane every day, and sending the comparison situation graph to the driver;
and sending the contents of the analysis data of all vehicles installed with the system in a certain station to a supervisor every day.
6. The method according to claim 5, wherein the machine-dependent analysis data content at least comprises the number of vehicles for departure operation, the number of machine-dependent operations, the total number of violations, and the number of violations of each vehicle.
7. An airport leaning operation process supervision system for special vehicles, which is characterized by comprising:
the intelligent terminal equipment is installed on the special vehicle and at least comprises a speed measuring instrument for measuring the vehicle speed of the special vehicle, a distance measuring instrument for measuring the distance between the special vehicle and the airplane and an information transmission module for transmitting data to the supervision platform;
the monitoring platform at least comprises a data training module, a comparison module, an information sending module and a data sorting module, wherein the data training module is used for training a standard machine-dependent quality curve graph, the comparison module is used for comparing the machine-dependent operation curve graph of each driver with the standard machine-dependent quality curve graph, the information sending module is used for sending information to the drivers and monitoring personnel, and the data sorting module is used for uniformly analyzing and gathering the machine-dependent operation data of all special vehicles every day;
the driver terminal is used for receiving the information sent by the supervision platform by the driver;
and the supervisor terminal is used for receiving the information sent by the supervision platform by the supervisor.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113919711A (en) * | 2021-10-15 | 2022-01-11 | 中国民用航空总局第二研究所 | Airplane deicing vehicle operation off-site supervision system based on block chain |
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