Helicopter test flight test early warning system and method

Abstract

The invention relates to the technical field of test flight management and control in the helicopter manufacturing process, in particular to a test flight test early warning system and method, and the system comprises a multi-source test flight data platform, an intelligent early warning information generation module, an early warning information level-to-level management module and a warning report push module. Wherein the multi-source test flight data platform is used for integrating multi-source test flight data information of a service system and offline; the early warning information intelligent generation module is used for generating deviation event warning information based on the multi-source test flight data information provided by the multi-source test flight data platform; the early warning information level-to-level management module is used for determining an early warning level when early warning is triggered; the warning report pushing module is used for executing an early warning plan, pushing early warning information, processing suggestions and updating progress according to the early warning type and level; according to the method and the system, various types of deviation abnormal information occurring in the test flight operation execution process of an enterprise are quickly sensed and accurately transmitted, so that the event processing efficiency is improved, and the safety risk is reduced.

Description

Technical Field

[0001] The present invention relates to the field of flight test control technology in a helicopter manufacturing process, and in particular to a flight test early warning system and method suitable for a flight test business control system of a helicopter manufacturing enterprise. Background Art

[0002] In the helicopter manufacturing process, flight testing is not only an important part of product verification, but also a key step to ensure aircraft safety. However, traditional helicopter manufacturers rely mainly on the subjective experience of personnel to monitor various deviation events that occur during the test flight phase; the transmission of deviation warning information usually relies on verbal notifications, telephone calls or emails. This method has the following significant shortcomings:

[0003] First, the way to obtain flight test deviation information is too single. In most cases, it can only be recognized after the fact, which makes the deviation handling mainly based on post-event remediation, lacking effective monitoring, prediction and warning of potential problems.

[0004] Secondly, the efficiency and reliability of warning information transmission are difficult to guarantee. Information is easily affected by time, space and personal experience when it is transmitted verbally. Deviation and delay in processing due to omission of notification by key responsible persons or incomplete information on key issues often occur, bringing potential losses to the company.

[0005] In summary, in the context of the current rapid development of the industry, the traditional methods of obtaining early warning and information transmission of flight test problems can no longer meet the needs of modern helicopter companies for efficient, accurate and safe management of flight test business. Companies need to explore new ways to improve the management and control capabilities of flight test operations. Summary of the invention

[0006] Purpose of the invention: The present invention aims to provide a helicopter flight test early warning system and method, which can realize rapid perception and accurate transmission of various deviation abnormal information that occurs during the enterprise's flight test operations, thereby improving event processing efficiency and reducing safety risks.

[0007] Technical solution of the present invention

[0008] A helicopter flight test warning system includes a multi-source flight test data platform, a warning information intelligent generation module, a warning information hierarchical management module and a warning report push module, wherein:

[0009] Multi-source flight test data platform: integrates business systems and offline multi-source flight test data information;

[0010] Warning information intelligent generation module: Generates deviation event warning information based on the multi-source flight test data information provided by the multi-source flight test data platform;

[0011] Warning information classification management module: when a warning is triggered, the warning level is determined;

[0012] Warning report push module: execute warning plans according to warning types and levels, and push warning information, handling opinions and progress updates.

[0013] Furthermore, the system also includes a warning status dynamic adjustment module for real-time monitoring of the deviation event processing status, and dynamically adjusting the warning information and push strategy according to the problem processing progress and feedback.

[0014] Furthermore, the flight test data information integrated by the multi-source flight test data platform includes: management data, production data, flight data and flight test monitoring data. The data covers the delivery plan business domain, process progress business domain, equipment support business domain, facility support business domain, tooling support business domain, tool support business domain, personnel support business domain, airspace support business domain, flight parameter monitoring business domain, meteorological support business domain and flight test failure business domain.

[0015] Furthermore, the warning information intelligent generation module includes a first type deviation event warning generation module and a second type deviation event warning generation module, wherein:

[0016] The first type of deviation event warning generation module is used to generate deviation event warnings for abnormal matching between the flight test plan and resources: taking the real-time flight test plan and the flight test mission information as input, matching and generating the resource list required for the execution of the plan, the first type of deviation event warning generation module synchronously obtains the flight test resource data that can be scheduled corresponding to the resource list from the multi-source flight test data platform, and compares the required resource list information with the available resource information in real time online. When a potential resource shortage problem is found, a resource deviation event warning message is generated;

[0017] The second type of deviation event warning generation module is used to generate deviation event warnings for production delays, batch failures, and flight test safety anomalies: Based on the pre-trained large language model, the production delay and batch failure problem information generated by the natural language description is refined into structured fault feature information that can be recognized by the computer system, and compared with the fault library built based on historical experience, the delay assessment is output and compared with the remaining period of the flight test plan, and a plan delay warning is generated. At the same time, the frequency of the current problem feature occurring within a period of time is counted to determine whether it is a batch failure, and a production deviation event warning information is generated;

[0018] Based on the pre-trained large language model, the information on flight test failures and sudden flight test quality accidents generated by natural language descriptions is refined into structured fault feature information that can be recognized by the computer system. The feature information is compared with the flight test safety risk feature library to generate a safety risk rating, clarify the degree of impact on flight test safety, and generate safety deviation event warning information.

[0019] Furthermore, the warning information hierarchical management module divides the resource deviation event warning information into four warning colors: red, orange, yellow, and blue, according to the degree of impact of deviation events between the test flight plan and resource matching abnormalities on the production progress. Red represents that the deviation event is urgent and serious, orange represents that the deviation event is serious, yellow represents that the deviation event is important, and blue represents that the deviation event requires attention.

[0020] Furthermore, the early warning information classification management module divides the production deviation event warning information into four warning colors: red, orange, yellow and blue, according to the degree of impact of the production deviation event on the production progress. Red represents that the construction period is expected to be delayed by more than 3 days, which is urgent and serious; orange represents that the construction period is expected to be delayed by 1-3 days, which is serious; yellow represents that the construction period is expected to be delayed by less than 1 day, which is important; and blue represents that the construction period delay has no impact and requires attention.

[0021] Furthermore, the early warning information classification management module configures the safety deviation event warning information into four warning colors: red, orange, yellow and blue according to the degree of impact of the safety deviation event on the test flight safety. Red represents that the event directly affects the test flight safety, which is urgent and serious; orange represents that the event indirectly affects the test flight safety, which is serious; yellow represents that the event has a hidden danger to the test flight safety and needs attention; blue represents that the event has no impact on the test flight safety and needs attention.

[0022] Furthermore, the warning report push module automatically generates corresponding broadcast content according to different warning levels and based on preset plans, including deviation event description, impact assessment, recommended treatment measures, disposal nodes, and node responsible persons.

[0023] A helicopter flight test early warning method, implemented using the early warning system, comprises the following steps:

[0024] Step 1: The multi-source flight test data platform integrates the business system and offline multi-source flight test data information, including package management data, production data, flight data and flight test monitoring data;

[0025] Step 2: The warning information intelligent generation module generates deviation event warning information based on the multi-source flight test data information provided by the multi-source flight test data platform;

[0026] Step 3: According to the deviation event type, the impact of the event on test flight production and flight safety, and based on the rules and conditions configured in the background, determine the warning level to achieve hierarchical management of warning information;

[0027] Step 4: The warning report push module executes the warning plan according to the warning type and level, and pushes warning information, handling opinions and progress updates;

[0028] Step 5: The warning status dynamic adjustment module monitors the deviation event processing status in real time, and dynamically adjusts the warning information and push strategy according to the problem processing progress and feedback.

[0029] Beneficial Effects

[0030] 1. The present invention provides a basis for integrated management of multi-source flight test data based on a unified multi-source flight test data platform;

[0031] 2. The present invention is based on a real-time online matching mechanism of flight test resources and production demand and a production delay, batch problem, and flight test safety early warning mechanism based on a large language model, which changes the traditional post-test problem perception, remediation, and processing mode. It relies on a database built based on a large amount of historical experience, reduces the dependence on the experience and technical level of front-line personnel, and improves the diagnosis efficiency and response speed of flight test problems;

[0032] 3. The present invention adopts a diversified early warning push mechanism and a dynamic adjustment mechanism to ensure that warning information is accurately and quickly transmitted to relevant responsible persons. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 is a flow chart of the early warning method of the present invention;

[0034] Figure 2 It is a flight test plan and resource matching early warning logic diagram of the present invention;

[0035] Figure 3 It is a production delay, batch problem and flight test safety warning logic diagram of the present invention;

[0036] Figure 4 It is a warning level setting logic diagram of the present invention. DETAILED DESCRIPTION

[0037] The features and illustrative embodiments of various aspects of the present invention will be described in detail below. In the detailed description below, many specific details are proposed to provide a comprehensive understanding of the present invention. However, it is obvious to those skilled in the art that the present invention can be implemented without the need for some of these specific details. The following description of the embodiments is only to provide a better understanding of the present invention by illustrating examples of the present invention. The present invention is by no means limited to any specific settings and methods proposed below, but covers any improvements, replacements and modifications of structures, methods, devices without departing from the spirit of the present invention. In the accompanying drawings and the following description, known structures and technologies are not shown to avoid unnecessary ambiguity in the present invention.

[0038] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other, and the embodiments can refer to and quote each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0039] One embodiment of the present invention is to provide a helicopter flight test warning system, including a multi-source flight test data platform, a warning information intelligent generation module, a warning information hierarchical management module and a warning report push module, wherein:

[0040] Multi-source flight test data platform: integrates business systems and offline multi-source flight test data information;

[0041] Warning information intelligent generation module: Generates deviation event warning information based on the multi-source flight test data information provided by the multi-source flight test data platform;

[0042] Warning information classification management module: when a warning is triggered, the warning level is determined;

[0043] Warning report push module: execute warning plans according to warning types and levels, and push warning information, handling opinions and progress updates.

[0044] Alert status dynamic adjustment module: used to monitor the deviation event processing status in real time, and dynamically adjust the alert information and push strategy according to the problem processing progress and feedback.

[0045] In this embodiment, the flight test data information integrated by the multi-source flight test data platform includes: management data, production data, flight data and flight test monitoring data. The data covers the delivery plan business domain, process progress business domain, equipment support business domain, facility support business domain, tooling support business domain, tool support business domain, personnel support business domain, airspace support business domain, flight parameter monitoring business domain, meteorological support business domain and flight test failure business domain.

[0046] In this embodiment, the warning information intelligent generation module includes a first type deviation event warning generation module and a second type deviation event warning generation module, wherein:

[0047] The first type of deviation event warning generation module is used to generate deviation event warnings for abnormal matching between the flight test plan and resources: taking the real-time flight test plan and the flight test mission information as input, matching and generating the resource list required for the execution of the plan, the first type of deviation event warning generation module synchronously obtains the flight test resource data that can be scheduled corresponding to the resource list from the multi-source flight test data platform, and compares the required resource list information with the available resource information in real time online. When a potential resource shortage problem is found, a resource deviation event warning message is generated;

[0048] The second type of deviation event warning generation module is used to generate deviation event warnings for production delays, batch failures, and flight test safety anomalies: Based on the pre-trained large language model, the production delay and batch failure problem information generated by the natural language description is refined into structured fault feature information that can be recognized by the computer system, and compared with the fault library built based on historical experience, the delay assessment is output and compared with the remaining period of the flight test plan, and a plan delay warning is generated. At the same time, the frequency of the current problem feature occurring within a period of time is counted to determine whether it is a batch failure, and a production deviation event warning information is generated;

[0049] Based on the pre-trained large language model, the information on flight test failures and sudden flight test quality accidents generated by natural language descriptions is refined into structured fault feature information that can be recognized by the computer system. The feature information is compared with the flight test safety risk feature library to generate a safety risk rating, clarify the degree of impact on flight test safety, and generate safety deviation event warning information.

[0050] The warning information classification management module configures the resource deviation event warning information into four warning colors: red, orange, yellow, and blue, according to the degree of impact of deviation events caused by abnormal matching of the flight test plan and resources on the production progress. Red represents that the deviation event is urgent and serious, orange represents that the deviation event is serious, yellow represents that the deviation event is important, and blue represents that the deviation event requires attention.

[0051] The early warning information hierarchical management module divides the warning information of production deviation events into four warning colors: red, orange, yellow and blue, according to the degree of impact of production deviation events on production progress. Red represents that the expected delay in construction period is more than 3 days, which is urgent and serious; orange represents that the expected delay in construction period is 1-3 days, which is serious; yellow represents that the expected delay in construction period is within 1 day, which is important; blue represents that the delay in construction period has no impact and needs attention.

[0052] The early warning information classification management module divides the safety deviation event warning information into four warning colors: red, orange, yellow and blue according to the degree of impact of the safety deviation event on the test flight safety. Red represents that the event directly affects the test flight safety and is urgent and serious; orange represents that the event indirectly affects the test flight safety and is serious; yellow represents that the event has a hidden danger to the test flight safety and needs attention; blue represents that the event has no impact on the test flight safety and needs attention.

[0053] In this embodiment, the warning report push module automatically generates corresponding broadcast content according to different warning levels and based on preset plans, including deviation event description, impact assessment, recommended treatment measures, disposal nodes, and node responsible persons.

[0054] A second embodiment of the present invention provides a helicopter flight test early warning method, which is implemented using the early warning system and includes the following steps:

[0055] Step 1: The multi-source flight test data platform integrates the business system and offline multi-source flight test data information, including package management data, production data, flight data and flight test monitoring data;

[0056] Build a unified flight test data middle platform to centrally integrate multi-source flight test data information scattered in the company's various business systems and offline, such as delivery plans, flight test progress, resource guarantees, flight data, fault records, etc. Through governance integration, this information is aggregated to the company's data middle platform to facilitate real-time monitoring and management of cross-domain data in the flight test business.

[0057] Step 2: The warning information intelligent generation module generates deviation event warning information based on the multi-source flight test data information provided by the multi-source flight test data platform;

[0058] Based on the rules and conditions configured in the background, such as the real-time online matching mechanism between flight test resources and production requirements, see Figure 2 As shown in the figure, the production delay, batch problem, and flight test safety assessment warning mechanism based on large language model technology and feature library are shown in the figure. Figure 3 As shown, flight data monitoring and health assessment and other means are used to monitor and evaluate the flight plan execution, flight test resource allocation, flight test quality issues and other processes, so as to detect abnormal information in a timely manner and trigger early warnings.

[0059] Step 3: According to the deviation event category and the impact of the event on test flight production and flight safety, based on the rules and conditions configured in the background, determine the warning level and implement hierarchical management of warning information.

[0060] When the system triggers an early warning action, the system determines the early warning level based on the deviation event category, the impact of the event on test flight production and flight safety, and the rules and conditions configured in the background, so as to achieve hierarchical management of early warning information. The specific logic Figure 4 shown.

[0061] Step 4: The warning report push module executes the warning plan according to the warning type and level, and pushes warning information, handling opinions and progress updates.

[0062] Based on the warning type and level, the system automatically executes the warning plan and pushes warning information, handling opinions and progress updates to the large screen of the control center, the PC of the responsible person and mobile devices at multiple levels to ensure that the information is conveyed in a timely manner.

[0063] Step 5: The warning status dynamic adjustment module monitors the deviation event processing status in real time, dynamically adjusts the warning information and push strategy according to the problem processing progress and feedback, and optimizes the accuracy and efficiency of information push. For specific logic, see Figure 1 shown.

[0064] The third embodiment of the present invention is: the present invention provides an early warning method for a helicopter manufacturing enterprise test flight control system, including a full-process early warning control logic from test flight data collection to warning information release, such as Figure 1 The specific implementation is as follows:

[0065] 1. Platform management of multi-source flight test data: Integrate various data of the enterprise during the flight test operation, including management data, production data, flight data, monitoring data, etc. The data covers multiple business domains such as delivery plan, process progress, equipment guarantee, facility guarantee, tool guarantee, tool guarantee, personnel guarantee, airspace guarantee, flight parameter monitoring, meteorological guarantee, flight test failure, etc. By building a unified flight test business data middle platform, the above multi-source heterogeneous data is managed on a platform basis, realizing real-time online integration and analysis of multi-source data, and providing a basis for real-time monitoring and early warning of cross-domain data.

[0066] 2. Intelligent generation of warning information: Based on the multi-source test flight data provided by the data center, based on specific rules and methods, the automatic generation of deviation event warning information is realized. The specific contents are as follows:

[0067] a) Warning of abnormal matching between flight test plan and resources: With real-time flight test plan and flight test mission information (such as structured test point requirements based on the flight test mission sheet) as input, the system matches and generates a list of resources required for plan execution. Including air / ground human resource requirements, flight test support equipment requirements, airspace route requirements, and terminal resource requirements, the system synchronously obtains the corresponding flight test resource data available for scheduling from the data center. By comparing the demand resource information with the available resource information in real time online, potential resource shortage problems can be discovered in a timely manner and warning information can be generated, so that decision makers can make preventive measures such as resource scheduling or plan adjustments in a timely manner to ensure the smooth progress of the flight test mission. For specific logic, see Figure 2 As shown;

[0068] b) Production delays, batch failures, and flight test safety warning logic: mainly for daily flight test failures, sudden flight test quality accidents, etc. Considering that this type of data is currently mostly recorded in natural language and is unstructured data, the large language model technology is introduced. Based on the pre-trained large language model, the fault problem information described in natural language is refined into structured fault feature information that can be recognized by the system, and compared with the fault library built based on historical experience (including historical fault features and fault troubleshooting cycles, etc.), the delay assessment is output and compared with the remaining cycle of the flight test plan to generate a plan delay warning; at the same time, the frequency of the current problem feature occurring within a period of time is counted to determine whether it is a batch failure and generate a warning message; similarly, the feature information is compared with the flight test safety risk feature library (based on relevant safety regulations and historical experience) to generate a safety risk rating, clarify the degree of impact on flight test safety, and generate a warning message. For specific logic, see Figure 2 shown.

[0069] 3. Classification management of warning information: According to the impact of deviation events on test flight safety and production progress, based on the rules and conditions configured in the background, the system automatically matches the warning level (some information is manually judged), divided into red (urgent and serious), orange (serious), yellow (important), and blue (concern). The logic of warning level setting is shown in Figure 4 shown.

[0070] 4. Diversified push notification of warning reports: According to different warning levels and based on preset plans, the system automatically generates corresponding broadcast content, including description of deviation events, impact assessment, recommended treatment measures, disposal nodes, node responsible persons, etc. Combined with the warning level and the rules and conditions configured in the background, the system automatically selects the corresponding broadcast method, broadcast channel, and broadcast frequency, etc. For example, for particularly urgent and serious events, in addition to the automatic push notification by the system, a large-screen voice broadcast is required to remind the on-duty personnel in the control hall to reissue the warning notification by phone, text message, etc., track the event reception confirmation, processing, and closed-loop status in real time, and use a high-frequency information push method to ensure that the responsible person is aware of the warning information and ensure the continuity of important information push. The specific methods are shown in Table 1.

[0071] Table 1 Warning broadcasting methods

[0072]

[0073]

[0074] 5. Dynamic adjustment of warning status: The system will dynamically adjust the warning level, push frequency and channel according to information feedback and event processing progress. If a deviation event is handled in a timely manner, the warning will be lifted or the warning level will be lowered through data monitoring or feedback from the responsible person; if a deviation event is delayed for a long time, the system will automatically upgrade the warning content and push it to the direct management and leadership of the responsible person to supervise the handling.

[0075] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the field can easily think of various equivalent modifications or substitutions within the technical scope disclosed by the present invention, and these modifications or substitutions should all be covered within the protection scope of the present invention.

Claims

1. A helicopter flight test warning system, characterized in that: It includes a multi-source flight test data platform, an intelligent warning information generation module, a warning information classification management module and a warning report push module, among which: Multi-source flight test data platform: integrates business systems and offline multi-source flight test data information; Warning information intelligent generation module: Generates deviation event warning information based on the multi-source flight test data information provided by the multi-source flight test data platform; Warning information classification management module: when a warning is triggered, the warning level is determined; Warning report push module: execute warning plans according to warning types and levels, and push warning information, handling opinions and progress updates.

2. The helicopter flight test warning system according to claim 1, characterized in that: The system also includes a warning status dynamic adjustment module, which is used to monitor the deviation event processing status in real time and dynamically adjust the warning information and push strategy according to the problem processing progress and feedback.

3. The helicopter flight test warning system according to claim 1, characterized in that: The flight test data information integrated by the multi-source flight test data platform includes: management data, production data, flight data and flight test monitoring data. The data covers the delivery plan business domain, process progress business domain, equipment support business domain, facility support business domain, tooling support business domain, tool support business domain, personnel support business domain, airspace support business domain, flight parameter monitoring business domain, meteorological support business domain and flight test failure business domain.

4. The helicopter flight test warning system according to claim 3 is characterized in that: Warning information intelligent generation module, first type deviation event warning generation module, second type deviation event warning generation module, where: The first type of deviation event warning generation module is used to generate deviation event warnings for abnormal matching between the flight test plan and resources: taking the real-time flight test plan and the flight test mission information as input, matching and generating the resource list required for the execution of the plan, the first type of deviation event warning generation module synchronously obtains the flight test resource data that can be scheduled corresponding to the resource list from the multi-source flight test data platform, and compares the required resource list information with the available resource information in real time online. When a potential resource shortage problem is found, a resource deviation event warning message is generated; The second type of deviation event warning generation module is used to generate deviation event warnings for production delays, batch failures, and flight test safety anomalies: Based on the pre-trained large language model, the production delay and batch failure problem information generated by the natural language description is refined into structured fault feature information that can be recognized by the computer system, and compared with the fault library built based on historical experience, the delay assessment is output and compared with the remaining period of the flight test plan, and a plan delay warning is generated. At the same time, the frequency of the current problem feature occurring within a period of time is counted to determine whether it is a batch failure, and a production deviation event warning information is generated; Based on the pre-trained large language model, the information on flight test failures and sudden flight test quality accidents generated by natural language descriptions is refined into structured fault feature information that can be recognized by the computer system. The feature information is compared with the flight test safety risk feature library to generate a safety risk rating, clarify the degree of impact on flight test safety, and generate safety deviation event warning information.

5. The helicopter flight test warning system according to claim 4 is characterized in that: The warning information classification management module configures the resource deviation event warning information into four warning colors: red, orange, yellow, and blue, according to the degree of impact of deviation events caused by abnormal matching of the flight test plan and resources on the production progress. Red represents that the deviation event is urgent and serious, orange represents that the deviation event is serious, yellow represents that the deviation event is important, and blue represents that the deviation event requires attention.

6. The helicopter flight test warning system according to claim 5, characterized in that: The early warning information hierarchical management module divides the warning information of production deviation events into four warning colors: red, orange, yellow and blue, according to the degree of impact of production deviation events on production progress. Red represents that the expected delay in construction period is more than 3 days, which is urgent and serious; orange represents that the expected delay in construction period is 1-3 days, which is serious; yellow represents that the expected delay in construction period is within 1 day, which is important; blue represents that the delay in construction period has no impact and needs attention.

7. The helicopter flight test warning system according to claim 6, characterized in that: The warning information classification management module configures the warning information of safety deviation events into four warning colors: red, orange, yellow and blue, according to the degree of impact of safety deviation events on test flight safety. Red represents that the event directly affects test flight safety and is urgent and serious. Orange means the incident indirectly affects test flight safety and is serious; Yellow means the event has a potential impact on test flight safety and needs attention; blue means the event has no impact on test flight safety and needs attention.

8. The helicopter flight test warning system according to claim 7, characterized in that: The warning report push module automatically generates corresponding broadcast content according to different warning levels and based on preset plans, including deviation event description, impact assessment, recommended treatment measures, disposal nodes, and node responsible persons.

9. A helicopter flight test early warning method, implemented using the early warning system of claim 8, characterized in that: The following steps are involved: Step 1: The multi-source flight test data platform integrates the business system and offline multi-source flight test data information, including package management data, production data, flight data and flight test monitoring data; Step 2: The warning information intelligent generation module generates deviation event warning information based on the multi-source flight test data information provided by the multi-source flight test data platform; Step 3: According to the deviation event category and the impact of the event on test flight production and flight safety, based on the rules and conditions configured in the background, determine the warning level and implement hierarchical management of warning information; Step 4: The warning report push module executes the warning plan according to the warning type and level, and pushes warning information, handling opinions and progress updates; Step 5: The warning status dynamic adjustment module monitors the deviation event processing status in real time, and dynamically adjusts the warning information and push strategy according to the problem processing progress and feedback.

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