Carrier rocket activity launching platform health management system and method

Abstract

The invention provides a carrier rocket activity launching platform health management system and method, and solves the technical problem that existing platform detection data cannot be effectively utilized. The system comprises a front-end sensing layer used for carrying out distributed deployment of sensing sensors around a front-end execution system deployed on a platform site; the acquisition and transmission layer is used for providing a communication node for data aggregation and data exchange for feedback data of the front-end execution system and the perception sensor; the data storage layer is used for forming incremental platform data formed by log processing of the feedback data, storing the platform data and providing retrieval and maintenance of the platform data; and the data application layer is used for forming an interactive display interface of the health degree evaluation indexes and performing data display according to the comprehensive evaluation result of the platform health degree. A structured hardware support foundation and a modularized software configuration mechanism are formed in the aspects of time span, data volume, data analysis dimension and the like for platform health. Decision support is provided for product service life evaluation and maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of data monitoring, and in particular to a health management system and method for a launch vehicle mobile launch platform. Background Art

[0002] The launch platform for a carrier rocket is a mobile device that completes the vertical transportation and launch of the entire launch rocket. It needs to vertically support and fix the rocket, perform azimuth rotation and vertical adjustment on the rocket before and after refueling, vertically transport the rocket as a whole, accurately locate the center coordinates of the launch station, convert the wheel group stress state during walking to the rigid support state during launch, and smoothly guide the rocket gas flow. Due to the large number of tasks, the main structure of the platform is complex, and the types and numbers of key single-machine structures are numerous. In order to ensure the reliability and safety of the platform throughout its life cycle, it is necessary to conduct a long-term, multi-dimensional evaluation of the monitoring and detection results of the platform. Data feedback formed only through the deployment of distributed sensors cannot directly form an effective multi-dimensional and in-depth processing of massive feedback data, and cannot form a judgment and prediction of the overall health status of the platform. Summary of the invention

[0003] In view of the above problems, an embodiment of the present invention provides a health management system and method for a launch vehicle mobile launch platform to solve the technical problem that the existing platform monitoring and detection data cannot be effectively utilized.

[0004] The carrier rocket mobile launch platform health management system according to the embodiment of the present invention comprises:

[0005] The front-end perception layer is used for distributed deployment of perception sensors around the front-end execution system deployed on-site on the platform;

[0006] The acquisition and transmission layer is used to provide communication nodes for data aggregation and data exchange for the feedback data of the front-end execution system and perception sensors;

[0007] The data storage layer is used to generate and store incremental platform data from log processing of feedback data, and to provide retrieval and maintenance of platform data;

[0008] The data application layer is used to form an interactive display interface for health evaluation indicators and to display data based on the comprehensive evaluation results of the platform health.

[0009] The carrier rocket mobile launch platform health management method of the embodiment of the present invention includes:

[0010] Deployment of perception sensors based on active launch platform configuration and front-end execution systems;

[0011] Continuously receive field data fed back by the front-end execution system and perception sensors, and form platform data through aggregation processing;

[0012] Health evaluation indicators are displayed in an orderly manner based on the comprehensive evaluation results formed by platform data.

[0013] In one embodiment of the present invention, the perception sensor includes sensors for collecting temperature, vibration, noise, pressure, current, voltage and stress signals, and the front-end execution system includes a mechanical system, a hydraulic system, an electronic control system, a drive system, a power distribution system and a heating system.

[0014] In one embodiment of the present invention, the front-end execution system includes a mechanical system, a hydraulic system, an electronic control system, a drive system, a power distribution system and a heating system.

[0015] In one embodiment of the present invention, the forming of platform data by aggregation processing includes:

[0016] Normalize the feedback sensor field data to a unified data format; add standard signal type tags; add data timing tags; add collection location tags; add equipment or structure tags.

[0017] In one embodiment of the present invention, the forming of platform data by aggregation processing further includes:

[0018] Cluster the temporal characteristics of the feedback field data, and create and add time tags related to the temporal characteristics;

[0019] According to the data association rules, establish and add association tags for field data representing the same state;

[0020] According to the information transmission rules, establish and add transmission tags that represent the field data of logical judgment;

[0021] Data records and data indexes are established based on tags and time series for database storage to form platform data.

[0022] In one embodiment of the present invention, the comprehensive evaluation result formed based on the platform data includes:

[0023] Using platform data to form monitoring data of the time history of the main physical characteristics of key positions of the platform through monitoring rules;

[0024] Generate diagnostic data of the time history of the platform health status through a preset health diagnostic model based on the platform data;

[0025] The service life data of the time history of the service life of the platform is generated by using a preset service life model according to the platform data;

[0026] According to the platform data, a fault prediction of a time history of a key position of the platform is formed by a preset prediction model. In one embodiment of the present invention, the orderly display of health evaluation indicators includes:

[0027] A customized data display interaction interface is formed based on monitoring data, alarm data, diagnostic data, service life data and failure expectation data, and the data range and data display format are switched according to the interactive instructions.

[0028] The carrier rocket mobile launch platform health management system according to the embodiment of the present invention comprises:

[0029] A memory, used to store program codes corresponding to the processing process of the above-mentioned method for health management of a mobile launch platform of a carrier rocket;

[0030] A processor is used to run the program code.

[0031] The carrier rocket mobile launch platform health management system according to the embodiment of the present invention comprises:

[0032] Sensor optimization device for perception sensor deployment based on active launch platform configuration and front-end execution system;

[0033] Data aggregation storage device, used to continuously receive field data fed back by the front-end execution system and perception sensors, and form platform data through aggregation processing;

[0034] The health management display device is used to display health evaluation indicators in an orderly manner based on the comprehensive evaluation results formed by the platform data.

[0035] The carrier rocket mobile launch platform health management system and method of the embodiment of the present invention forms a comprehensive processing process of data collection, data fusion and data health evaluation index processing. It can isolate the faults that occur to the corresponding isolation level and shorten the troubleshooting time. It can effectively predict the remaining life of key components such as cross beams and support arms for later decision support. It can meet the service safety assessment of the main structure of the launch platform and the key single-machine structure, and provide decision support for post-launch inspection and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 Shown is a schematic diagram of the architecture of a carrier rocket mobile launch platform health management system according to an embodiment of the present invention.

[0037] Figure 2 The figure is a flow chart of a method for health management of a mobile launch platform of a carrier rocket according to an embodiment of the present invention.

[0038] Figure 3 Shown is a schematic diagram of the monitoring deployment of local strain signal sensors on the platform body of a carrier rocket's mobile launch platform framework structure.

[0039] Figure 4Shown is a schematic diagram of the monitoring deployment of local strain signal sensors for the walking device in the framework structure of the mobile launch platform of the carrier rocket.

[0040] Figure 5 Shown is a schematic diagram of the monitoring deployment of local temperature signal sensors on the platform body of the carrier rocket's mobile launch platform framework structure.

[0041] Figure 6 Shown is a schematic diagram of the monitoring deployment of local vibration signal sensors on the upper and lower platforms in the framework structure of the mobile launch platform of a carrier rocket.

[0042] Figure 7 Shown is a schematic diagram of the architecture of a carrier rocket mobile launch platform health management system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present invention clearer and more understandable, the present invention is further described below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] The health management system of a launch vehicle mobile launch platform according to an embodiment of the present invention is as follows Figure 1 As shown. Figure 1 In this embodiment, the device ownership is divided according to the logical layer, including:

[0045] The front-end perception layer 01 is used for the distributed deployment of perception sensors around the front-end execution system deployed on-site on the platform.

[0046] Those skilled in the art can understand that the mission of the mobile launch platform of the carrier rocket is achieved through the joint coordination of various front-end execution systems deployed on the platform site. The control data of each front-end execution system is formed according to the clear control purpose of the mission. The front-end execution system includes but is not limited to the mechanical system, hydraulic system, electronic control system, drive system, power distribution system and heating system on which the platform's special equipment or devices rely.

[0047] Each front-end execution system executes the corresponding control data to perform action control and uses inherent feedback mechanisms such as internal sensors and status registers to form feedback signals or data within the system. The feedback signals or data can be received and analyzed by the corresponding upper system.

[0048] Each perception sensor is divided according to the type of environmental signals generated by the platform body and the front-end execution system during the task completion process, including but not limited to field type signals such as temperature, vibration, noise, pressure, current and voltage that are different from background signals. Each perception sensor is planned and deployed according to the action transmission position of each front-end execution system, the assembly position with the platform body and the key assembly position of the platform body.

[0049] The acquisition and transmission layer 02 is used to provide a communication node for data aggregation and data exchange for the feedback data of the front-end execution system and perception sensors.

[0050] The communication node establishes a communication link between the lower front-end execution system, perception sensor and upper storage system to realize data exchange and data forwarding. The communication node provides corresponding communication interface and communication protocol according to the requirements of data transmission in terms of distance, rate and reliability. The communication node can adopt general or dedicated data gateway (including supporting switches and routers). Through the configuration flexibility of the data gateway, a data acquisition controller can be provided to pre-process the transmission data on the basis of general data conversion and transmission to improve data transmission efficiency. Parallel or redundant link backup can be formed between communication nodes to improve data transmission reliability.

[0051] The data storage layer 03 is used to generate and store incremental platform data by log processing of feedback data, and to provide retrieval and maintenance of platform data.

[0052] Feedback data can be normalized, time-series processed, type-fused, and labeled to form aggregated feedback data and establish a data storage format under a unified template. General data mining techniques can be used to mine data associations for existing feedback data, and additional data types and data labels can be formed based on the technical characteristics of the field to enrich the data expression types and information expression dimensions of platform data. At the same time, database technology can be used to store and maintain incremental platform data and provide effective data demand responses.

[0053] The data application layer 04 is used to form an interactive display interface for health evaluation indicators and to display data based on the comprehensive evaluation results of the platform health.

[0054] The interactive display interface can be deployed on an application server for operation and maintenance personnel.

[0055] The upper system server deploys corresponding platform health assessment modules for comprehensive assessment of platform health, including but not limited to:

[0056] The health monitoring module is used to use platform data to form time-course monitoring data of key health dimensions of the platform through monitoring rules.

[0057] The health diagnosis module is used to generate diagnostic data of the time history of the platform health status through a preset health diagnosis model based on the platform data.

[0058] The life assessment module is used to generate the service life data of the time history of the platform service life through a preset life model according to the platform data.

[0059] The fault prediction module is used to form the expected fault data of the time history of the key positions of the platform through a preset prediction model based on the platform data.

[0060] Through the interactive display interface, the comprehensive evaluation results of the upper system server on the platform health are formed into corresponding charts and graphic data for orderly data display according to the time series or trigger status.

[0061] Different health assessment modules are used for the same platform data source to form targeted health assessment directions, including but not limited to specific technical status and technical data in terms of security, reliability, stability, traceability, etc. The individual upgrade and reasonable combination of assessment modules can effectively update and appropriately tailor the health assessment capabilities.

[0062] The carrier rocket mobile launch platform health management system of the embodiment of the present invention forms a structured hardware support foundation and a modular software configuration mechanism for the complexity of platform health in terms of time span, data volume, data analysis dimension, and data collection path. It can predict the service safety of the launch platform main structure and key single-machine structure during the entire life cycle of the mobile launch platform, evaluate the service life of the product, and provide decision support for post-launch inspection and maintenance.

[0063] A method for health management of a launch vehicle mobile launch platform according to an embodiment of the present invention is as follows Figure 2 As shown. Figure 2 In this embodiment, the present invention includes:

[0064] Step 100: Deploy perception sensors based on the active launch platform configuration and front-end execution system.

[0065] The front-end execution system forms the changes of the operating status and operating parameters according to the control data until the operation purpose is achieved. The changes of the operating status and operating parameters form the feedback data in the operation process to reflect the operation accuracy and operating status of the front-end execution system. The perception sensors are deployed according to the type of perceived signals and the prominent positions or key assembly positions of the signal changes. The signal types include but are not limited to temperature, vibration, noise, pressure, current, voltage and stress. For example, combined with Figure 3 and Figure 4 As shown, stress sensors are set in the stress change concentrated areas of the rigid frame structure of the platform body and the load-bearing materials of the walking device in the front-end execution system to continuously collect stress change signals. Figure 5 As shown, temperature sensors are set for the rigid frame contour of the platform body and the locations where the task temperature changes drastically in the rigid frame to continuously collect temperature change signals. Figure 6 As shown, in response to walking and launching vibrations, a vibration signal change sensor that is closely related to the change in center of gravity is deployed at the center of the platform upper body, and a vibration signal change sensor that is closely related to the change in stability is deployed at the edge of the technical area of ​​the platform lower body to continuously collect vibration change signals.

[0066] Step 200: Continuously receive field data fed back by the front-end execution system and perception sensors, and form platform data through aggregation processing.

[0067] The continuously fed back field data forms incremental platform data. The process of aggregating field data to form platform data includes:

[0068] Normalize the feedback sensor field data and unify the data format; add standard signal type tags; add data timing tags; add collection location tags; add equipment (or structure) tags, etc.

[0069] Further including:

[0070] Cluster the temporal characteristics of the feedback field data, and create and add time tags related to the temporal characteristics;

[0071] According to the data association rules, establish and add association tags for field data representing the same state;

[0072] According to the information transmission rules, establish and add transmission tags that represent the field data of logical judgment;

[0073] Data records and data indexes are created based on tags and time series for database storage to form platform data. Incremental platform data is also used for monitoring logs.

[0074] Step 300: Orderly display the health evaluation indicators based on the comprehensive evaluation results formed by the platform data.

[0075] The comprehensive evaluation results of platform health can be obtained through the health evaluation model deployed on the upper system server.

[0076] In one embodiment of the present invention, the comprehensive evaluation results formed based on the platform data include:

[0077] The platform data is used to form monitoring data of the time history of the main physical characteristics of the key positions of the platform through monitoring rules.

[0078] The monitoring rules include the judgment thresholds for specific physical characteristics (such as strain, vibration, temperature, noise, etc.) at a clear location. They also include the judgment thresholds for the change trends of specific physical characteristics at a clear location. Based on the monitoring rules, the over-limit judgment and trend judgment of the platform data are formed, and then the monitoring data and alarm data under the time course are formed.

[0079] In one embodiment of the present invention, it also includes:

[0080] The diagnostic data of the time history of the platform health status is generated based on the platform data through a preset health diagnosis model.

[0081] The health diagnosis model includes the analysis and statistical rules of (platform data and) monitoring data. For example, based on the same type of monitoring data, statistical analysis of the change rate and trend of physical characteristics at a single point or in an area is performed to form diagnostic data for specific physical characteristics of the platform as a whole or locally.

[0082] In one embodiment of the present invention, it also includes:

[0083] The service life data of the time history of the platform service life is generated based on the platform data through a preset life model.

[0084] The preset life model includes the mapping rules between (platform data and) diagnostic data and normal working conditions. For example, the time history of the diagnostic data of the relevant physical characteristics is used to map the duration, stability, failure rate, etc. of the normal working conditions of the local materials or assembly equipment of the platform, thereby forming the service life data. The remaining service life of the launch platform is estimated and provided to the product users to make overall arrangements and decisions on the subsequent use of the launch platform.

[0085] In one embodiment of the present invention, it also includes:

[0086] Based on the platform data, the fault expectation data of the time history of key positions of the platform are formed through the preset prediction model.

[0087] The preset prediction model includes (platform data and) service life data and material availability, equipment mean time between failures mapping rules. For example, the difference comparison of the mean time between failures and working time of single equipment, the difference comparison of the mean time between failures and working time of structural materials, the difference comparison of the mean time between failures and working time of the associated equipment as a whole, and the difference comparison of the mean time between failures and working time of structural materials and equipment in the platform area form fault expectation data of different scales. Combined with historical test data, historical failures, etc., the failures that may occur in the relevant test parts of the launch platform during subsequent use are predicted.

[0088] In one embodiment of the present invention, orderly displaying health evaluation indicators includes:

[0089] A customized data display interaction interface is formed based on monitoring data, alarm data, diagnostic data, service life data and failure expectation data, and the data range and data display format are switched according to the interactive instructions.

[0090] For example, according to interactive instructions, the monitoring data and corresponding diagnostic data of each component in the local area of ​​the platform under the same time history, as well as remaining service life data and expected risk of failure estimated based on the time history and other graphic data are displayed.

[0091] The health management method for the mobile launch platform of a carrier rocket of the embodiment of the present invention forms a comprehensive processing process of data collection, data fusion and data health evaluation index processing. It can isolate the occurred faults to the corresponding isolation level and shorten the troubleshooting time. It can effectively predict the remaining life of key components such as cross beams and support arms for later decision support. It can meet the service safety assessment of the main structure of the launch platform and the key single-machine structure, and provide decision support for post-launch inspection and maintenance.

[0092] A carrier rocket mobile launch platform health management system according to an embodiment of the present invention includes:

[0093] A memory, used to store program codes corresponding to the processing process of the health management method for the mobile launch platform of a carrier rocket in the above-mentioned embodiment;

[0094] A processor is used to run the program code corresponding to the processing process of the health management method for the mobile launch platform of the carrier rocket of the above embodiment.

[0095] The processor may be a DSP (Digital Signal Processor) digital signal processor, an FPGA (Field-Programmable Gate Array) field programmable gate array, an MCU (Microcontroller Unit) system board, a SoC (system on a chip) system board, or a PLC (Programmable Logic Controller) minimum system including I / O.

[0096] The health management system of a launch vehicle mobile launch platform according to an embodiment of the present invention is as follows Figure 7 As shown. Figure 7 In this embodiment, the present invention includes:

[0097] A sensor optimization device 10 for performing perception sensor deployment according to the active launch platform configuration and the front-end execution system;

[0098] The data aggregation storage device 20 is used to continuously receive the field data fed back by the front-end execution system and the perception sensor, and form platform data through aggregation processing;

[0099] The health management display device 30 is used to display health evaluation indicators in an orderly manner according to the comprehensive evaluation results formed by the platform data.

[0100] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A health management system for a launch vehicle mobile launch platform, characterized in that: include: The front-end perception layer is used for distributed deployment of perception sensors around the front-end execution system deployed on-site on the platform; The acquisition and transmission layer is used to provide communication nodes for data aggregation and data exchange for the feedback data of the front-end execution system and perception sensors; The data storage layer is used to generate and store incremental platform data from log processing of feedback data, and to provide retrieval and maintenance of platform data; The data application layer is used to form an interactive display interface for health evaluation indicators and to display data based on the comprehensive evaluation results of the platform health.

2. A method for health management of a launch vehicle mobile launch platform, characterized in that: include: Deployment of perception sensors based on active launch platform configuration and front-end execution systems; Continuously receive field data fed back by the front-end execution system and perception sensors, and form platform data through aggregation processing; Health evaluation indicators are displayed in an orderly manner based on the comprehensive evaluation results formed by platform data.

3. The method for health management of a launch vehicle mobile launch platform according to claim 2, characterized in that: The sensing sensors include sensors for collecting temperature, vibration, noise, pressure, current, voltage and stress signals, and the front-end execution system includes a mechanical system, a hydraulic system, an electronic control system, a drive system, a power distribution system and a heating system.

4. The method for health management of a launch vehicle mobile launch platform according to claim 2, characterized in that: The front-end execution system includes a mechanical system, a hydraulic system, an electric control system, a drive system, a power distribution system and a heating system.

5. The method for health management of a launch vehicle mobile launch platform according to claim 2, characterized in that: The forming of platform data by aggregation processing includes: Normalize the feedback sensor field data to a unified data format; add standard signal type tags; add data timing tags; add collection location tags; add equipment or structure tags.

6. The method for health management of a launch vehicle mobile launch platform according to claim 5, characterized in that: The forming of platform data by aggregation processing also includes: Cluster the temporal characteristics of the feedback field data, and create and add time tags related to the temporal characteristics; According to the data association rules, establish and add association tags for field data representing the same state; According to the information transmission rules, establish and add transmission tags that represent the field data of logical judgment; Data records and data indexes are established based on tags and time series for database storage to form platform data.

7. The method for health management of a launch vehicle mobile launch platform according to claim 2, characterized in that: The comprehensive evaluation results formed based on the platform data include: Using platform data to form monitoring data of the time history of the main physical characteristics of key positions of the platform through monitoring rules; Generate diagnostic data of the time history of the platform health status through a preset health diagnostic model based on the platform data; The service life data of the time history of the service life of the platform is generated by using a preset service life model according to the platform data; Based on the platform data, the fault expectation data of the time history of key positions of the platform are formed through the preset prediction model.

8. The method for health management of a launch vehicle mobile launch platform according to claim 7, characterized in that: The orderly display of health evaluation indicators includes: A customized data display interaction interface is formed based on monitoring data, alarm data, diagnostic data, service life data and failure expectation data, and the data range and data display format are switched according to the interactive instructions.

9. A health management system for a launch vehicle mobile launch platform, characterized in that: include: A memory, used to store program codes corresponding to the processing process of the method for health management of a mobile launch platform of a carrier rocket as claimed in any one of claims 1 to 8; A processor is used to run the program code.

10. A health management system for a launch vehicle mobile launch platform, characterized in that: include: Sensor optimization device for perception sensor deployment based on active launch platform configuration and front-end execution system; Data aggregation storage device, used to continuously receive field data fed back by the front-end execution system and perception sensors, and form platform data through aggregation processing; The health management display device is used to display health evaluation indicators in an orderly manner based on the comprehensive evaluation results formed by the platform data.

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