CN113222486A - Intelligent aviation material management method and system based on Internet of things technology - Google Patents
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Abstract
The invention provides an intelligent aviation material management method and system based on the technology of the Internet of things, which comprises the following steps: a database is created in advance at the cloud, and the electronic tags are generated by the aviation materials and stored in the database; setting normal data ranges and dangerous critical values of sensors of the parts and emergency measures for dealing with the abnormity of each part according to the types; embedding a sensor in the airplane upper part equipment by using an embedded system technology, and finely recording and updating various data in real time; transmitting data collected by the sensor to a cloud database in real time to realize data synchronization; analyzing the data information of the parts in real time and timely repairing and maintaining or replacing the parts with abnormal data; the data counted in the database is periodically analyzed. The invention can realize the rationalization of the stock of the navigation materials, thereby solving the problem of the increase of the cost of the navigation materials caused by improper management of the navigation materials.
Description
Technical Field
The invention relates to an intelligent aviation material management method and system based on the technology of the Internet of things.
Background
In the face of increasingly intense market competition, airlines are more concerned about reducing operating costs to increase business profits to maintain business competitiveness. It is known that the cost of purchasing aircraft, shipping materials (referred to as aircraft parts), shipping oil, and personnel are four major components of the operating cost of an airline. The cost of the aviation material accounts for a large proportion, and is a main part of capital investment and capital occupation in the production and operation of an airline company.
At present, the existing aviation material management method mainly has two disadvantages: the increase of purchasing cost caused by excessive stock of shipping materials and the decrease of capital turnover rate caused by excessive stock. In order to stand out in the competitive aviation market and obtain more economic benefits, an airline company must overcome the two disadvantages, improve the current aviation material management method and system, strengthen the aviation material cost control and improve the aviation material management level. Therefore, the adoption of a scientific and feasible method for strengthening the aviation material management, the rationalization of aviation material storage and the reduction of inventory and the improvement of the guarantee rate of airplane operation become problems which need to be solved urgently.
Disclosure of Invention
The invention aims to solve the technical problem of overcoming the defects of the existing aviation material management technology and providing an intelligent aviation material management method and system based on the Internet of things technology, which can realize the rationalization of the stock of aviation materials so as to solve the problem of aviation material cost increase caused by improper aviation material management.
The invention provides an intelligent aviation material management method based on the technology of the Internet of things, which comprises the following steps:
and (3) establishing a navigation material management database at the cloud, and generating electronic tag data of all the existing navigation materials according to types and related information by adopting an RFID (radio frequency identification) technology and storing the electronic tag data in a central database. The materials may be broadly classified into turnover parts, repairable parts, consumable parts, repairable consumable parts, based on expected life and repairability. The turnover part is a part which can be repeatedly maintained and has a long service life; the repairable part is a part which can be repaired, has a service life obviously shorter than that of the turnover part and has economic value regardless of the available state; the consumable parts are parts which can be continuously used by simple adjustment, such as fastening devices and the like; the repairable consumable part is a consumable part of which part can be repaired;
setting a normal data range, a danger critical value and an emergency measure for the condition that the data of the parts are not in the normal data range according to the type and the original manufacturer, wherein the normal data range comprises normal data peaks and normal data valleys;
embedding a sensor in airplane part equipment, and finely recording and updating various data in real time, wherein the part equipment comprises an undercarriage, a power system, a flight control system, an avionic system, airborne equipment and an airframe structural part; the sensors embedded in the component devices comprise RFID sensors, infrared sensors and pressure sensors;
transmitting data collected by the sensor to a cloud database in real time to realize data synchronization;
analyzing data information of each part in real time, judging whether the data is in a normal data range pre-stored in a database, if the data exceeds a normal range pre-set in the database, sending out a warning, and if the data exceeds the normal range pre-set in the database, warning crew members if the data is some key part equipment; and when the data reaches the critical value of danger, automatically starting emergency management measures. When a sensor detects that a certain part is abnormal, the part is repaired or replaced in time;
periodically analyzing the data counted in the database, including the total number of the parts in use, the average service time, the number of times of replacement, etc., adjusting the expected life of each part in time, determining the estimated inventory number according to the data, and judging whether to reduce or increase the inventory reserve of the parts.
The invention provides an intelligent aviation material management system based on the technology of the Internet of things, which comprises the following contents:
the device is used for transmitting data to the cloud and calling related data; and
the device is used for monitoring the state of the aviation material in real time; and
means for data collection.
Compared with the prior art, the invention has the following advantages:
(1) according to the intelligent management based on the Internet of things technology, the sensors are combined with the intelligent processing of the aviation material data, so that the data can be better collected and analyzed, the storage and storage of the aviation materials are reasonable, and the problem of increase of the aviation material cost caused by improper aviation material management is solved;
(2) the invention fully utilizes the technology of the sensor of the Internet of things, and is fused with the Internet through various wired and wireless sensors, so that the updating data is transmitted in real time, the data of the airplane parts are collected in real time, the states of the parts in the operation process of the airplane are tracked, and the continuous flight safety is ensured;
(3) the method and the system fully utilize the technology of the Internet of things, and simultaneously combine the big data technology, thereby facilitating the data analysis of airplane maintenance personnel and improving the maintenance efficiency and accuracy;
(4) the method and the system fully utilize the Internet of things technology and cloud computing, count and analyze the change of the aviation material data, adjust the inventory investment in time, improve the automation level of aviation material supply chain management, ensure the supply of airplane parts, and avoid the shortage of the parts to a certain extent, so that the enterprise operation fund is reasonably and efficiently utilized, and the aviation material cost expenditure is reduced.
Drawings
The following further description is made in conjunction with the accompanying drawings and examples.
The attached drawing is a structural schematic diagram of the intelligent aviation material management method and system based on the technology of the Internet of things.
Detailed description of the preferred embodiments
The specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention.
It is to be understood that the described embodiments are merely a few embodiments of the invention, and not all 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.
The present invention will be described in detail below with reference to the accompanying drawings.
The attached drawings are a flow chart of steps of the intelligent aviation material management method and system based on the technology of the Internet of things.
As shown in the attached drawings, the intelligent aviation material management method based on the internet of things technology comprises the following steps:
s1, creating a database at the cloud: and (3) adopting an RFID technology (radio frequency identification technology) to generate electronic tag data according to types and related information of all existing aviation materials and store the electronic tag data in a central database. And the navigation materials can be roughly divided into turnover parts, repairable parts, consumable parts and repairable consumable parts based on the expected service life and repairability. Setting a predicted stock according to the expected life of each part and the number of parts in use;
s2, setting the normal data range and danger critical value of the sensor of the parts and the emergency measures for dealing with the abnormal of each part according to the types; when the data collected by the sensor exceeds the normal data range but does not reach the critical value of danger, corresponding emergency management measures are automatically started when the data collected by the sensor reaches the critical value of danger.
S3, embedding a sensor auxiliary system in airplane part equipment, and recording and updating various data in real time, wherein the equipment parts comprise landing gears, a power system, a flight control system, an avionic system, airborne equipment and an airframe structural part; the sensors embedded in the equipment components comprise RFID sensors, infrared sensors and pressure sensors;
s4, transmitting the data collected by the sensor to a cloud database in real time to realize data synchronization;
s5, analyzing the data information of the parts in real time, if the data information exceeds a normal range preset in advance in the database, giving out a warning, and if the data information exceeds some key equipment, warning the crew; and when the data reaches the critical value of danger, automatically starting emergency management measures. When the sensor detects that a certain part assembly is abnormal, the part assembly is repaired or replaced in time. When a component needs to be replaced, a new component needs to create an RFID tag and store it in the central database. Updating the repaired or replaced data in a database in time, and counting the use duration and the replacement times of each part;
and S6, periodically analyzing the data counted in the database, including the total number of the parts in use, the average use time, the replacement times and the like, adjusting the expected life of each part in time, adjusting the estimated inventory number according to the data, and judging whether the inventory stock of the part needs to be reduced or increased.
In conclusion, the intelligent aviation material management method and system based on the internet of things technology, disclosed by the invention, can be used for carrying out predictive maintenance management by utilizing the internet of things technology and carrying out all-weather real-time monitoring and diagnosis on the existing aviation material parts, so that the safety and the security of flight and aircraft service are improved, the aviation material cost is reduced, and the maintenance and the control of the airplane parts are facilitated; meanwhile, the real-time acquisition of the data of the airplane parts reflects the real-time state of the airplane in operation, and the efficiency and the accuracy of analyzing, managing and maintaining the airplane crew are improved; the change of the aviation material data is counted and analyzed, and the stock is adjusted in time, so that the automatic management level of an aviation material supply chain is greatly improved, the supply of parts of the airplane is ensured, and the shortage of the parts is avoided to a certain extent, so that the operation fund of the airplane is reasonably and efficiently utilized.
The above description is only for the purpose of illustrating the technical solutions of the present invention and not for the purpose of limiting the same, and other modifications or equivalent substitutions made by those skilled in the art to the technical solutions of the present invention should be covered by the claims of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (4)
1. An intelligent aviation material management method and system based on the technology of the Internet of things are characterized by comprising the following contents:
creating a navigation material management database at the cloud, and generating electronic tag data of all the existing navigation materials according to types and related information by adopting an RFID technology and storing the electronic tag data into a central database;
setting a normal data range and a danger critical value of a sensor of the part according to the type and responding to an emergency measure under the condition that the data of the part is not in the normal data range;
embedding a sensor in airplane part equipment, and finely recording updated data in real time;
transmitting data collected by the sensor to a cloud database in real time to realize data synchronization;
analyzing data information of the parts in real time, judging whether the data is in a normal data range prestored in a database or not, and repairing and maintaining or replacing the parts in time when the sensor detects that a certain part is abnormal;
periodically analyzing the data counted in the database, including the total number of the used parts, the average service time, the replacement times, etc., adjusting the expected life of each part in time, determining the estimated inventory number according to the data, and judging the change of the inventory.
2. The internet of things technology-based intelligent aviation material management method and system as claimed in claim 1, wherein a sensor is used to monitor the state of the part in real time and synchronize the data to a cloud database.
3. The intelligent aviation material management method and system based on the internet of things technology as claimed in claim 1, wherein the state of the part is monitored in real time by using a sensor, and the state of the part of the airplane in the operation process is recorded.
4. The internet of things technology-based intelligent aviation material management method and system as claimed in claim 1, wherein the system comprises a cloud database for providing interactive management of historical data and real-time data recorded by the sensors.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114118326A (en) * | 2021-12-01 | 2022-03-01 | 中国民航管理干部学院 | Full-life-cycle aviation material management method and system based on radio frequency tags |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106446987A (en) * | 2016-09-05 | 2017-02-22 | 武汉大学 | System and method for intelligently managing museum collections based on Internet of Things and indoor GIS |
| US20170317891A1 (en) * | 2014-12-02 | 2017-11-02 | Zhengfang Ma | Neuron system based on internet of things and communication network, and neuron device thereof |
| CN109831471A (en) * | 2017-11-23 | 2019-05-31 | 香港科技大学深圳研究院 | In conjunction with the new internet of things information platform of sensor network and RFID |
| CN110334988A (en) * | 2019-06-21 | 2019-10-15 | 合肥工业大学 | A kind of cold chain Drug monitoring method and system based on cloud platform |
-
2020
- 2020-01-19 CN CN202010056129.XA patent/CN113222486A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170317891A1 (en) * | 2014-12-02 | 2017-11-02 | Zhengfang Ma | Neuron system based on internet of things and communication network, and neuron device thereof |
| CN106446987A (en) * | 2016-09-05 | 2017-02-22 | 武汉大学 | System and method for intelligently managing museum collections based on Internet of Things and indoor GIS |
| CN109831471A (en) * | 2017-11-23 | 2019-05-31 | 香港科技大学深圳研究院 | In conjunction with the new internet of things information platform of sensor network and RFID |
| CN110334988A (en) * | 2019-06-21 | 2019-10-15 | 合肥工业大学 | A kind of cold chain Drug monitoring method and system based on cloud platform |
Non-Patent Citations (2)
| Title |
|---|
| TRAVIS EDWARDS ET AL: "Internet of Things – A Complete Solution for Aviation\'s Predictive Maintenance", SUSTAINABLE VITAL TECHNOLOGIES IN ENGINEERING & INFORMATICS, pages 1 - 8 * |
| 邱明杰 等: "民用飞机维修服务供应链管理研究", 装备制造技术, no. 1, pages 76 - 78 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114118326A (en) * | 2021-12-01 | 2022-03-01 | 中国民航管理干部学院 | Full-life-cycle aviation material management method and system based on radio frequency tags |
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