CN108804490B - Intelligent inquiry system for satellite test historical data - Google Patents
Intelligent inquiry system for satellite test historical data Download PDFInfo
- Publication number
- CN108804490B CN108804490B CN201810182552.7A CN201810182552A CN108804490B CN 108804490 B CN108804490 B CN 108804490B CN 201810182552 A CN201810182552 A CN 201810182552A CN 108804490 B CN108804490 B CN 108804490B
- Authority
- CN
- China
- Prior art keywords
- module
- query
- data
- parameter
- instruction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Radio Relay Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
An intelligent inquiry system for historical satellite test data comprises a parallel inquiry module, a function configuration module, an inquiry template maintenance module, a telemetering parameter characteristic value statistical module, a remote control instruction statistical module, an equipment power-on time statistical module, a data curve visualization module, an automatic data field rejecting module, an intelligent interpretation comparison module, an inquiry time progress display module and an inquiry historical record module.
Description
Technical Field
The invention relates to the field of spacecraft ground test, in particular to an intelligent query system for satellite test historical data.
Background
The satellite comprehensive test is to test the electrical function and performance of the satellite in each stage of development and verify whether the performance index and the functional parameter meet the design requirement, and is an important component in the satellite development process. With the striding development of satellite platform technology, the number of telemetering parameters and remote control instructions related to the satellite AIT stage is greatly increased, so that massive test data are generated in the ground test process, how to quickly and efficiently query the test history data in the development stage, realize the repeated utilization of the test data, and ensure the reliability and effectiveness of the test data is very important.
The current data query system can not meet the requirements of the existing satellite development process, and the specific expression is as follows:
(1) single statistical function
The current data query system can only display basic information of satellite telemetering parameters and remote control instructions according to time sequence, and does not have the statistical function of key test data such as important equipment power-on time, telemetering parameter characteristic values, instruction sending conditions and the like.
(2) The query efficiency is low
The current data query system not only takes longer time, but also does not support the parallel query of multi-class data. Taking a control and propulsion subsystem of a certain satellite platform as an example, the query statistics of test historical data in a certain development stage (about 20 days) usually needs to consume several days of labor, and the timeliness of data interpretation is seriously influenced.
(3) Low operability
For the same satellite model, the historical test data which needs to be inquired by each subsystem all the time is basically fixed. The current data query system needs to repeatedly configure query contents, does not have the memory function of the user query process, and has low reusability and effectiveness.
(4) Poor visualization degree
When telemetry parameter curves of different orders of magnitude are displayed simultaneously, the current data query system cannot observe the curve change condition of test data simultaneously due to the limitation of coordinate axis setting.
(5) The degree of automation is lower
Due to the factors such as the complexity of satellite design, the variability of the test process, the inconsistency of the test environment and the like, a certain number of wild values exist in the test data, and the effectiveness and reliability of data interpretation are seriously influenced. The current data query system does not have a data field shaving function, the workload of manual analysis is heavy, the interpretation coverage is incomplete, and quality problems such as missing judgment, erroneous judgment and the like caused by human factors occur occasionally. Meanwhile, in the existing satellite development process, particularly in the stage of 'four-check two-comparison' of a launching field, test data of the same satellite platform, different satellite models and different test stages need to be interpreted and compared, the existing satellite development process is mainly completed manually, the means is single, the labor cost is increased, and the risk of insufficient interpretation is increased.
Disclosure of Invention
The technical problem solved by the invention is as follows: the intelligent query system for the satellite test historical data overcomes the defects of the prior art, and aims at solving the core problems that the current historical data query system is poor in user experience, low in automation degree, unreliable in data interpretation and the like, improves the working efficiency of the system, enhances the integrity and effectiveness of the data interpretation, and meets the increasing requirements of model tasks.
The technical solution of the invention is as follows: an intelligent inquiry system for satellite test historical data comprises a parallel inquiry module, a function configuration module, an inquiry template maintenance module, a telemetering parameter characteristic value statistical module, a remote control instruction statistical module, an equipment power-on time statistical module, a data curve visualization module, an automatic data field rejecting module, an intelligent interpretation comparison module, an inquiry time progress display module and an inquiry historical record module;
the parallel query module is used for parallelly querying the same type of multi-task data and different types of multi-task data in a multi-thread mode; the types comprise remote measurement, remote control, equipment power-on and data curve display; the tasks comprise remote measurement, remote control, equipment power-on and data curve display corresponding query time periods or data volumes;
the function configuration module is used for configuring the telemetering parameter characteristic value statistical module, the remote control instruction statistical module or the equipment power-on time statistical module according to an external instruction and importing a query template corresponding to each module; the query template of the telemetry parameter characteristic value statistical module comprises a master control serial number, a query parameter code number, a query parameter name, a query parameter statistical range, a query constraint condition and a query parameter wild-picking strategy; the query template of the remote control instruction counting module comprises a query instruction code number, a query instruction name, query instruction sending times and query instruction returning times; the equipment power-on time statistical module query template comprises a power-on equipment single machine name, a power-on state parameter occurrence frequency and a power-on criterion;
the query template maintenance module is used for maintaining and editing the query template of the telemetry parameter characteristic value statistical module, the query template of the remote control instruction statistical module and the query template of the equipment power-on time statistical module on line or off line according to an external instruction;
the remote measurement parameter characteristic value counting module reads the remote measurement parameter characteristic value counting module to inquire the template according to an external instruction, inquires the inquiry parameter code number, the inquiry parameter name, the inquiry parameter counting range, the inquiry constraint condition and the inquiry parameter field rejecting strategy in the template according to the remote measurement parameter characteristic value counting module to obtain the maximum value and the minimum value of the parameter in the corresponding counting range and the maximum value and the minimum value of the parameter outside the counting range, and positions, time and times corresponding to all the counting parameters;
the remote control instruction counting module is used for counting remote control instructions sent to a satellite from the ground; the remote control instruction comprises a direct instruction and an indirect instruction;
the equipment power-on time counting module is used for selecting the telemetering parameters representing the power-on and power-off states of each piece of equipment, fitting the discrete change of the telemetering parameter statistics into continuous change, and accurately counting the duration from the rising edge to the falling edge to obtain the power-on time of the equipment;
the data curve visualization module is used for drawing and visualizing a plurality of telemetering data in parallel, supporting telemetering parameter curves with different orders of magnitude, enabling X-axis time coordinates of the curves to be consistent, enabling Y-axis numerical coordinates to change in a self-adaptive mode, enabling each telemetering curve to have a zooming and browsing function and subsection browsing, and enabling any data point of each telemetering curve to support information to be displayed in real time;
the automatic data wild picking module comprises three data wild picking strategies, wherein: filtering the command, eliminating the telemetering data within N seconds after the remote control command is sent, and not counting the inquiry result, wherein N is a positive integer; filtering with small probability, and eliminating telemetering data which are not more than M times and occur in the satellite whole satellite testing stage, wherein M is a positive integer; detailed investigation and filtration, namely removing the telemetering parameters corresponding to a specific time point, specific test information or a specific remote control instruction according to an external instruction;
the intelligent interpretation comparison module is used for inquiring corresponding telemetering data according to an external instruction and sending the telemetering data to an external database platform, so that the database platform can compare data of different satellite models and different test stages and control the database platform to export the data by an Excel data file;
the query time progress display module is used for displaying the time of the current query operation flow in real time in the remote measurement parameter query process;
and the historical query recording module is used for memorizing and storing the prior telemetry parameter query instruction or query result so as to realize the search or repeat historical query task.
The query template maintenance module imports the query template of the telemetry parameter characteristic value statistical module, the query template of the remote control instruction statistical module and the query template of the equipment power-on time statistical module through excel according to an external instruction, and exports the query template of the telemetry parameter characteristic value statistical module, the query template of the remote control instruction statistical module and the query template of the equipment power-on time statistical module with data through excel according to the external instruction.
The change strategy corresponding to the self-adaptive change of the numerical coordinates of the multiple curve Y axes of the data curve visualization module is that 10% of blank is reserved for the upper and lower limits of the coordinates according to the maximum value and the minimum value of the data.
The intelligent query system adopts a three-layer software framework design and comprises a presentation layer, a business logic layer and a data access layer, wherein the presentation layer realizes UI interaction and data display with a user, the business logic layer completes data exchange, services are packaged according to formulation of business rules and business processes, called services and query methods are judged according to external instructions, and the data access layer realizes database access.
And the data access layer realizes the access function of the database by using ADO.net provided by the net.
Compared with the prior art, the invention has the advantages that:
(1) compared with the prior art, the method effectively solves the problems of single function, low query efficiency, low automation degree and poor user experience of the current historical data query system, takes historical data query of a satellite model control propulsion subsystem in a thermal test stage for 10 days as an example to carry out efficiency evaluation, mainly comprises five aspects of telemetering parameter characteristic value statistics, equipment power-on time statistics, remote control instruction statistics, data interpretation comparison and data curve check, completes statistics, interpretation and comparison of established important data, the traditional mode needs 465 minutes/person, only 35 minutes/person is needed, the check mode of the data curve is more humanized, and the efficiency is improved by more than 10 times;
(2) the invention realizes intelligent interpretation and automatic comparison of data, reduces the link of manual intervention processing and avoids the occurrence of artificial quality problems;
(3) the invention has better expandability and portability, and can be applied to all the tasks of satellite platforms and models under study. Meanwhile, the method can be applied to on-orbit operation management of the satellite, and an effective means of efficient query statistics and intelligent analysis interpretation is provided for on-orbit data of the satellite.
Drawings
FIG. 1 is a system architecture diagram;
FIG. 2 is a system processing logic diagram;
FIG. 3 is a system data flow diagram;
FIG. 4 is a flow chart of system operation;
fig. 5 is a schematic diagram of the satellite AIT phase instruction transmission process.
Detailed Description
Aiming at the defects of the prior art, the invention provides an intelligent inquiry system for satellite test historical data, which adopts a three-layer software framework design and is respectively a presentation layer, a service logic layer and a data access layer as shown in figure 1. The presentation layer is at the uppermost layer and is used for realizing functions of UI interaction, data display and the like with a user. The service logic layer is a part for realizing core value in the system architecture, is positioned between the data access layer and the presentation layer and plays a role in starting and starting the data exchange. The business logic layer encapsulates a plurality of services according to the formulation of business rules and the realization of business processes, and can judge and call corresponding services and query methods according to query instructions of users. Through the logic implementation mode of Web Service, the low coupling between the Service logic layer and the presentation layer is realized. The data access layer is responsible for accessing the database, and the layer can conveniently realize the access function of the database by using ADO.
In order to improve the data query efficiency, the system adopts a multi-thread working mode, and the access reading of the database and the data display of the client are executed concurrently. Through the pre-compiled SQL statements, the system can quickly establish stored procedure queries in the database. Meanwhile, the method for establishing indexes, optimizing query statements and the like in the database ensures the query efficiency of mass data in the satellite AIT stage. The system processing logic flow is shown in fig. 2.
The system data flow is as shown in fig. 3, the satellite telemetry data is modulated and demodulated by a telemetry and remote control integrated machine (TBOX), the telemetry data is analyzed, processed and broadcasted by a Main Test Processor (MTP), a Data Storage Server (DSS) receives the broadcasted test data and test information in real time and stores the test information in a warehouse, and the data query system can read the data of the database server at any time and display the query result.
Fig. 4 shows an operation flow of the system, in which a user edits and loads a query configuration template according to actual needs, selects a corresponding query function, and completes statistics of related data and export use. Meanwhile, the query result can be pushed to the integrated test platform in one key mode, and interpretation comparison is carried out on data of the same satellite platform, different satellite models and different test stages.
The system is characterized in that the data query characteristics of different satellite platforms and different subsystems are combined, the design concept of 'functionalization, high efficiency and intellectualization' is followed, and the system is different from the current historical data query system and has the following functions:
(1) parallel query function
The system can realize the multi-task parallel query of the same type and different types.
(2) One-time configuration function
In the initial stage of the query task, the system can be configured once according to the satellite model characteristics, the required query template is edited and imported simultaneously, and repeated configuration is not needed in the subsequent query process.
(3) Query template editing, importing, exporting functions
The system standardizes the query template according to different characteristics of the historical data to be queried, and can import and export the query template through an EXCEL format. The remote measurement parameter characteristic value query template mainly comprises six contents of a master control serial number, a parameter code number, a parameter name, a statistical range, a constraint condition and a wild rejecting strategy. The master control serial number, the parameter code and the parameter name are automatically associated with each other, and only one of the contents needs to be edited. The statistical range refers to the query range of the parameters to be checked, and is generally edited according to the telemetering parameter interpretation criterion. The constraint condition is a precondition for the system to perform a query task, and false values and error values under abnormal working conditions can be effectively eliminated by taking the actual test working conditions and the associated parameter states as editing criteria. The wild elimination strategy is a method for eliminating the wild value of the telemetering parameter provided by the system, and is selected and edited by a user. The instruction query template mainly comprises four contents of an instruction code number, an instruction name, sending times and returning times. The equipment power-on time inquiry template mainly comprises a single machine name, a parameter name, an appearance frequency and power-on criteria. The parameter name refers to a telemetry parameter for representing the power-on and power-off states of the equipment. The occurrence frequency refers to the duration criterion of the rising edge and the falling edge. The power-up criteria specify constraints on the power-up state of the device.
(4) Telemetering parameter characteristic value statistical function
The system can count the maximum value and the minimum value information in the query range according to the query configuration, and simultaneously give characteristic value information outside the statistical range for interpretation reference. When the query result does not meet the upper and lower limits specified by the interpretation criterion, the data can be further analyzed by checking the occurrence times and the occurrence time positions of the characteristic values.
(5) Remote control instruction statistics function
The satellite AIT phase remote control command is sent by the automated test software, forwarded to the TBOX through the MTP, and sent to a satellite remote control telemetry unit (TTU) through the TBOX, so as to realize control of the satellite, as shown in fig. 5. Wherein, the direct instruction carries out large loop comparison, the indirect instruction carries out self loop comparison, and the TBOX returns the success information of all sent instructions to the MTP and stores the success information to the data server. The system realizes the statistic function of the instruction sending condition by counting the sending times and the returning times of the instructions in the information.
(6) Device power-up time statistics function
The satellite platform adopting the frame telemetry format has the advantages that the frequency of each telemetry parameter is basically fixed, for example, the fast frame telemetry parameter is downloaded for 1 time in each sampling period, and the slow frame telemetry parameter is downloaded for 1 time in each 16 sampling periods; and the satellite platform adopting the packet telemetry format has the advantages that the downloading frequency of each telemetry parameter is related to the downloading quantity of PK packets, and no obvious regularity exists. According to the characteristics, the system selects the telemetering parameters capable of representing the power-on and power-off states of the equipment, fits the discrete changes of the parameters in the statistical time into continuous changes, and accurately counts the duration from the rising edge to the falling edge, namely the power-on time of the equipment. The determination of the rising edge and the falling edge is based on the power-on/power-off state of the parameter for a certain time, which is user-defined.
(7) Data curve visualization function
The system has the functions of data drawing and visualization, and supports simultaneous display of telemetering parameter curves of different orders of magnitude, namely, the time coordinates of X axes of a plurality of curves are consistent, the numerical coordinates of Y axes are adaptively changed, and the change strategy is that 10% of blank is reserved for the upper and lower limits of the coordinates according to the maximum value and the minimum value of data. Meanwhile, the system provides a zooming and browsing function of the curve, can amplify and restore the curve, provides a thumbnail of the complete curve, displays the information of any data point on the curve in real time, and is convenient for browsing the curve in a segmented manner.
(8) Automatic field picking function of data
In the stage of satellite AIT, the change of the test state can cause unreal conditions such as messy codes, abnormal jumping and the like of the telemetering parameters. Therefore, all outliers need to be analyzed and interpreted in the process of inquiring test data, and are reasonably eliminated. By analyzing and summarizing the actual test processes of different satellite platforms, the following situations can occur:
a, telemetering subsystem state switching, configuration switching and clear and secret state switching;
b, switching the states of the subsystems of the plurality of pipes;
c, state switching of the integrated electronic subsystem;
d, satellite power-up initial process;
e, controlling the power-on and power-off processes of partial equipment of the subsystem;
f, controlling special working conditions of the subsystem part.
Aiming at the working conditions, the system designs three wild-picking strategies:
a, filtering an instruction: the system rejects the telemetering data within N seconds after part of the instructions are sent, and does not count the inquiry results. And determining the instruction content and the N value to be filtered according to the characteristics of different satellite platforms and different satellite subsystems.
b, small probability filtering: according to actual test experience, the telemetry data which only appears 1-2 times in the satellite AIT stage is basically a wild value, so that the system eliminates statistical values less than a certain number of times, and the numerical values are determined by actual conditions.
c, detail searching and filtering: the system provides a detailed inspection and wild elimination strategy, can check the test information before and after the corresponding time point of the wild value, and determines whether the wild value data is effective or not by analyzing specific test working conditions such as a sent instruction, associated telemetering parameters and the like.
(9) Intelligent interpretation comparison function
The system provides a data interaction interface of an integrated test platform with the existing satellite, and the statistical result of the telemetry parameter characteristic value can be pushed to the platform in a one-click mode. The pushed data query result can be checked in real time in a data analysis management module of the integrated platform, the historical model and the test stage which need to be compared are selected, and automatic comparison and intelligent interpretation of the same test data under different working conditions can be achieved. The comparison not only comprises the longitudinal comparison of data in the same satellite model and different test stages, but also comprises the transverse comparison of the same satellite platform and different satellite models. The integrated platform can specially mark the data which do not accord with the interpretation criterion and have larger difference, and manually export and view the data in the format of an Excel data file.
(10) Query time/progress display function
The system displays the information of the query progress in real time, and mainly comprises the time for query and the query progress.
(11) Query history function
The system automatically records the type and content of each query task, and can search or repeat historical query tasks in real time.
The method comprises the following specific implementation steps:
(1) disposable configuration system
Before the satellite AIT stage begins, the satellite model and the relevant information of a test database are configured at one time, the satellite model and the relevant information mainly comprise a satellite name, a database IP address, a query display mode and the like, and repeated configuration is not needed in the subsequent query process.
(2) Selecting, editing query templates
And selecting a corresponding query template according to the query task requirement. Meanwhile, the query template is edited according to requirements by combining the characteristics of the remote measurement parameters and the remote control instructions of different satellite models. In particular, in the remote measuring parameter characteristic value query template, a corresponding shaving field strategy is selected according to actual requirements.
(3) Import order filtering template (optional)
If the instruction filtering in the shaving field strategy is selected, an instruction needing filtering needs to be additionally imported.
(4) Importing a query template to complete the query
And importing the edited query template, clicking a query button, waiting for the completion of the query, and checking the query progress and time in real time in the query process.
(5) Display of curves
And browsing the data curve, splitting the curves with different orders of magnitude, and displaying a plurality of curves under the same abscissa and different ordinates. Meanwhile, any area of the curve under the large data volume is rapidly positioned by utilizing the thumbnail information, and the curve is zoomed and checked.
(6) Intelligent interpretation of data
And clicking and pushing integration, inputting login information in the popup window, and pushing the remote measurement parameter characteristic value statistical result to the integrated test platform in a one-key mode. The integrated test platform is logged in the IE browser, and longitudinal comparison of data of the same satellite model and different test stages and transverse comparison results of the same satellite platform and different satellite models can be checked.
(7) Deriving query results
And exporting the query result and the intelligent interpretation result in an EXCEL format.
(8) Viewing historical query records
The historical query records can be checked in the historical condition module, if the historical query is repeated, the configuration is not needed, and the records are directly clicked to finish the query.
(9) Satellite changed configuration
If the technical state of the satellite is changed, only the system configuration and the query template need to be adaptively modified.
(10) In-orbit satellite data analysis
And (3) storing the in-orbit satellite data in a corresponding data server, and finishing the query and analysis work of the in-orbit satellite data by executing the steps (1) to (7).
(11) The detailed information of advantageous effects is shown in the following table.
Those skilled in the art will appreciate that those matters not described in detail in the present specification are well known in the art.
Claims (5)
1. An intelligent inquiry system for satellite test historical data is characterized by comprising a parallel inquiry module, a function configuration module, an inquiry template maintenance module, a telemetering parameter characteristic value statistical module, a remote control instruction statistical module, an equipment power-on time statistical module, a data curve visualization module, an automatic data field rejecting module, an intelligent interpretation comparison module, an inquiry time progress display module and an inquiry history recording module;
the parallel query module is used for parallelly querying the same type of multi-task data and different types of multi-task data in a multi-thread mode; the types comprise remote measurement, remote control, equipment power-on and data curve display; the tasks comprise remote measurement, remote control, equipment power-on and data curve display corresponding query time periods or data volumes;
the function configuration module is used for configuring the telemetering parameter characteristic value statistical module, the remote control instruction statistical module or the equipment power-on time statistical module according to an external instruction and importing a query template corresponding to each module; the query template of the telemetry parameter characteristic value statistical module comprises a master control serial number, a query parameter code number, a query parameter name, a query parameter statistical range, a query constraint condition and a query parameter wild-picking strategy; the query template of the remote control instruction counting module comprises a query instruction code number, a query instruction name, query instruction sending times and query instruction returning times; the equipment power-on time statistical module query template comprises a power-on equipment single machine name, a power-on state parameter occurrence frequency and a power-on criterion;
the query template maintenance module is used for maintaining and editing the query template of the telemetry parameter characteristic value statistical module, the query template of the remote control instruction statistical module and the query template of the equipment power-on time statistical module on line or off line according to an external instruction;
the remote measurement parameter characteristic value counting module reads the remote measurement parameter characteristic value counting module to inquire the template according to an external instruction, inquires the inquiry parameter code number, the inquiry parameter name, the inquiry parameter counting range, the inquiry constraint condition and the inquiry parameter field rejecting strategy in the template according to the remote measurement parameter characteristic value counting module to obtain the maximum value and the minimum value of the parameter in the corresponding counting range and the maximum value and the minimum value of the parameter outside the counting range, and positions, time and times corresponding to all the counting parameters;
the remote control instruction counting module is used for counting remote control instructions sent to a satellite from the ground; the remote control instruction comprises a direct instruction and an indirect instruction;
the equipment power-on time counting module is used for selecting the telemetering parameters representing the power-on and power-off states of each piece of equipment, fitting the discrete change of the telemetering parameter statistics into continuous change, and accurately counting the duration from the rising edge to the falling edge to obtain the power-on time of the equipment;
the data curve visualization module is used for drawing and visualizing a plurality of telemetering data in parallel, supporting telemetering parameter curves with different orders of magnitude, enabling X-axis time coordinates of the curves to be consistent, enabling Y-axis numerical coordinates to change in a self-adaptive mode, enabling each telemetering curve to have a zooming and browsing function and subsection browsing, and enabling any data point of each telemetering curve to support information to be displayed in real time;
the automatic data wild picking module comprises three data wild picking strategies, wherein: filtering the command, eliminating the telemetering data within N seconds after the remote control command is sent, and not counting the inquiry result, wherein N is a positive integer; filtering with small probability, and eliminating telemetering data which are not more than M times and occur in the satellite whole satellite testing stage, wherein M is a positive integer; detailed investigation and filtration, namely removing the telemetering parameters corresponding to a specific time point, specific test information or a specific remote control instruction according to an external instruction;
the intelligent interpretation comparison module is used for inquiring corresponding telemetering data according to an external instruction and sending the telemetering data to an external database platform, so that the database platform can compare data of different satellite models and different test stages and control the database platform to export the data by an Excel data file;
the query time progress display module is used for displaying the time of the current query operation flow in real time in the remote measurement parameter query process;
and the historical query recording module is used for memorizing and storing the prior telemetry parameter query instruction or query result so as to realize the search or repeat historical query task.
2. The intelligent inquiry system for the satellite test historical data, according to claim 1, is characterized in that: the query template maintenance module imports the query template of the telemetry parameter characteristic value statistical module, the query template of the remote control instruction statistical module and the query template of the equipment power-on time statistical module through excel according to an external instruction, and exports the query template of the telemetry parameter characteristic value statistical module, the query template of the remote control instruction statistical module and the query template of the equipment power-on time statistical module with data through excel according to the external instruction.
3. The intelligent inquiry system for the satellite test historical data as claimed in claim 1 or 2, wherein: the change strategy corresponding to the self-adaptive change of the numerical coordinates of the multiple curve Y axes of the data curve visualization module is that 10% of blank is reserved for the upper and lower limits of the coordinates according to the maximum value and the minimum value of the data.
4. The intelligent inquiry system for the satellite test historical data as claimed in claim 1 or 2, wherein: the intelligent query system adopts a three-layer software framework design and comprises a presentation layer, a business logic layer and a data access layer, wherein the presentation layer realizes UI interaction and data display with a user, the business logic layer completes data exchange, services are packaged according to formulation of business rules and business processes, called services and query methods are judged according to external instructions, and the data access layer realizes database access.
5. The intelligent inquiry system for the satellite test historical data, according to claim 4, is characterized in that: and the data access layer realizes the access function of the database by using ADO.net provided by the net.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810182552.7A CN108804490B (en) | 2018-03-06 | 2018-03-06 | Intelligent inquiry system for satellite test historical data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810182552.7A CN108804490B (en) | 2018-03-06 | 2018-03-06 | Intelligent inquiry system for satellite test historical data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108804490A CN108804490A (en) | 2018-11-13 |
| CN108804490B true CN108804490B (en) | 2021-08-10 |
Family
ID=64094584
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810182552.7A Active CN108804490B (en) | 2018-03-06 | 2018-03-06 | Intelligent inquiry system for satellite test historical data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108804490B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103957134A (en) * | 2014-04-22 | 2014-07-30 | 航天恒星科技有限公司 | Modular configurable telemetry parameter analyzing and processing system |
| CN104281678A (en) * | 2014-09-29 | 2015-01-14 | 航天东方红卫星有限公司 | Intelligent moonlet state monitoring system |
| CN106569054A (en) * | 2016-10-14 | 2017-04-19 | 上海微小卫星工程中心 | Multi-satellite asynchronous intelligent test system |
| CN107193847A (en) * | 2016-03-15 | 2017-09-22 | 阿里巴巴集团控股有限公司 | A kind of querying method and device of satellite real-time track information |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7038619B2 (en) * | 2001-12-31 | 2006-05-02 | Rdp Associates, Incorporated | Satellite positioning system enabled media measurement system and method |
-
2018
- 2018-03-06 CN CN201810182552.7A patent/CN108804490B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103957134A (en) * | 2014-04-22 | 2014-07-30 | 航天恒星科技有限公司 | Modular configurable telemetry parameter analyzing and processing system |
| CN104281678A (en) * | 2014-09-29 | 2015-01-14 | 航天东方红卫星有限公司 | Intelligent moonlet state monitoring system |
| CN107193847A (en) * | 2016-03-15 | 2017-09-22 | 阿里巴巴集团控股有限公司 | A kind of querying method and device of satellite real-time track information |
| CN106569054A (en) * | 2016-10-14 | 2017-04-19 | 上海微小卫星工程中心 | Multi-satellite asynchronous intelligent test system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108804490A (en) | 2018-11-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109726234B (en) | Integrated circuit test informatization management system based on industrial Internet | |
| CN107844424B (en) | Model-based testing system and method | |
| CN100386755C (en) | Method and system for collecting and retrieving time-series, real-time and non-real-time data | |
| CN108971807B (en) | Intelligent management control method and management system for field welding construction process | |
| EP3165984B1 (en) | An event analysis apparatus, an event analysis method, and an event analysis program | |
| CN103592907B (en) | A kind of Ethernet Data Acquisition System | |
| CN106961362A (en) | Automated testing method and mobile cloud test system | |
| CN114880240B (en) | Automatic test system and method for equipment of Internet of things, storage medium and equipment | |
| CN111400186A (en) | Performance test method and system | |
| KR102543064B1 (en) | System for providing manufacturing environment monitoring service based on robotic process automation | |
| CN109726830A (en) | Equipment routing inspection method, apparatus, electronic equipment and storage medium | |
| CN110597721A (en) | Automatic interface pressure testing method based on pressure testing script | |
| JP2021128776A5 (en) | ||
| CN110069571A (en) | A kind of automated data control methods and device, electronic equipment | |
| CN115657890A (en) | PRA robot customizable method | |
| CN110442653A (en) | Method, apparatus, server and the storage medium of incremental build CUBE model | |
| CN112598142B (en) | Wind turbine maintenance working quality inspection auxiliary method and system | |
| CN108804490B (en) | Intelligent inquiry system for satellite test historical data | |
| CN112561388A (en) | Information processing method, device and equipment based on Internet of things | |
| CN108200062B (en) | Data management method and system for intelligent instrument equipment | |
| CN112699032B (en) | Method for realizing vddbench performance test result analysis based on Excel | |
| CN110838006B (en) | Test system for universal device | |
| CN110619456A (en) | Sensory evaluation data acquisition method and system based on mobile terminal | |
| CN102053571A (en) | Data acquisition method of information acquisition terminal | |
| CN114328159A (en) | Abnormal statement determination method, device, equipment and computer readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |