CN112559096B - Space load input data analysis system and method - Google Patents
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Abstract
The invention provides a system and a method for analyzing space load input data, which comprises the following steps: the device comprises a data input unit, a data analysis unit and a data output unit; the data input unit transmits original input data to be analyzed and a parameter configuration table serving as a data analysis basis to the data analysis unit; the data analysis unit analyzes the original input data according to the parameter configuration table and extracts the value of each parameter; the data output unit transmits the parameter value to the parameter equipment to be input; the parameters are grouped according to the events to which the parameters belong, and the parameter configuration table stores parameter attributes including an identification domain parameter attribute and all parameter attributes of at least two events. The invention has universality, and a fixed analysis program is used, so that no matter how input data is increased or changed, only the parameter configuration table needs to be modified, and the analysis program does not need to be changed. The invention controls whether the event comprises the time parameter or not through the time identification. The invention can also input multiple event parameters at the same time.
Description
Technical Field
The invention relates to the field of aerospace data processing, in particular to a system and a method for analyzing space load input data.
Background
From development to formal emission, the space optical remote sensing load generally needs to be subjected to multiple times of simulation test work such as electrical interface test, desktop joint test, electrical test, mechanical test, thermal vacuum test verification, electromagnetic compatibility test, emission field technical test and the like in the aspect of electronics test.
A space optical remote sensing load system relates to a plurality of subsystems such as a main control unit, a power supply and distribution unit, a communication unit, a thermal control unit, an imaging unit and a motion control unit. The system is complex and comprises a plurality of disciplines. According to the requirements of division of labor and research and development of disciplines, development work is mostly developed according to the convention that one team is responsible for one subsystem, and docking is carried out after the development is finished.
In order to enable each unit and module of a space load to execute an instruction of an application task as required, a data input mode is usually adopted to send a task requirement, a main processing method for data input at present is a direct programming method, but space load communication has byte quantity limitation, in order to meet instructions of different requirements as far as possible, a format and significance of data injection often need to be designed to be very complex, for example, injection data of a certain space load comprises 13 modules, each module comprises more than ten event types or even dozens of event types, parameters are hundreds of thousands, execution logic is distinguished by immediate execution, same-time execution, absolute-time execution and the like, in the case of the complex format design, a hard programming method is adopted, time and labor are wasted, maintenance is difficult, errors are easy to occur, and once problems are detected, consequences cannot be imagined.
Disclosure of Invention
The invention provides a universal space load input data analysis system and method which have time parameters and can simultaneously process multiple events, aiming at solving the problems of the direct programming method.
In order to achieve the purpose, the invention adopts the following specific technical scheme:
a space load input data parsing system, comprising: the device comprises a data input unit, a data analysis unit and a data output unit; the data input unit transmits original input data to be analyzed and a parameter configuration table serving as a data analysis basis to the data analysis unit; the data analysis unit analyzes the original input data according to the parameter configuration table and extracts the value of each parameter; the data output unit transmits the parameter value to the parameter equipment to be input; the parameters are grouped according to the events to which the parameters belong, and the parameter configuration table stores parameter attributes including an identification domain parameter attribute and all parameter attributes of at least two events.
Preferably, the attributes of all parameters include: parameter serial number, parameter name and parameter byte number; the data analysis unit carries out parameter analysis according to the parameter serial number sequence and reads original input data with corresponding length according to the number of parameter bytes; the attribute of the identification domain parameter also comprises an identification domain criterion value, and the identification domain criterion value is used for judging whether the original input data corresponds to the parameter configuration table.
Preferably, each event comprises a function identification parameter, a time identification parameter, a start time parameter, a duration parameter, at least one parameter to be input; the attribute of the function identification parameter also comprises a criterion value and a cycle mark, wherein the cycle mark comprises a start event mark, an end event mark and a middle event mark; the criterion value is used for judging whether the data to be analyzed belongs to the event; the loop mark is used for marking the position of the event in the parameter configuration table and providing a jump basis in the analysis process; the attributes of the time identification parameters also include a crossing parameter; and recording crossing bases in the analysis process of the crossing parameters, comparing the values of the time identification parameters with the crossing bases, and performing corresponding subsequent operation.
A method for analyzing space load input data comprises the following steps:
the data input unit transmits original input data to be analyzed and a parameter configuration table used as a basis for data analysis to the data analysis unit;
the data analysis unit judges whether the original input data corresponds to the parameter configuration table or not through the identification domain criterion value of the identification domain parameter, if not, the data analysis unit does not perform subsequent analysis, and performs data transmission again to ensure that the original input data corresponds to the parameter configuration table;
the data analysis unit analyzes the parameters according to the sequence of the parameter serial numbers, reads the original input data with corresponding length according to the number of the parameter bytes, and stops analyzing after analyzing the parameter with the maximum parameter serial number;
when the analyzed parameter is the time identification parameter, comparing the value of the analyzed time identification parameter with the crossing basis recorded in the crossing parameter, judging whether the initial time parameter and the duration parameter of the event are effective, skipping the invalid parameter, and not analyzing;
when the analyzed parameter is the function identification parameter, comparing the analyzed value with the criterion value of the parameter, if the two are the same, the subsequent data is the parameter to be input of the event to which the parameter belongs, and performing subsequent analysis; if the difference is not the same, performing event skipping operation;
and the data output unit transmits the analyzed parameter value to the parameter equipment to be input.
Preferably, the event jump operation comprises:
skipping to the function identification parameter with the cycle mark as the initial event mark, comparing the analyzed value with the criterion value, if the value is still different, skipping to the next function identification parameter with the cycle mark, and comparing with the criterion value;
repeating the skip comparison process until the criterion value of the functional identification parameter is equal to the analyzed value, and the subsequent data corresponds to the event to which the functional identification parameter belongs, and the data analysis unit performs subsequent analysis;
or the cycle mark of the skipped function identification parameter is the tail event mark, and the criterion value is still different from the analyzed value, so that the subsequent data has no corresponding event, and the data analysis unit stops analyzing.
The invention can obtain the following technical effects:
(1) The method has universality, and the input data can be analyzed by using a fixed analysis program without changing the analysis program and only modifying a parameter configuration table no matter how modules, events and parameters of the input data are increased or changed.
(2) The time parameter control can be carried out, each event has a time parameter, whether the time parameter of the event is effective or not is marked through the time identifier, whether the event comprises the time parameter or not can be flexibly controlled, and only the value of the time identifier in the input data needs to be changed.
(3) The method can simultaneously input multiple event parameters, input data does not need to be input according to the sequence of events in the parameter configuration table, data of all events contained in the parameter configuration table does not need to be input at one time, and the method has high flexibility.
Drawings
FIG. 1 is a block diagram of a spatial payload input data parsing system according to an embodiment of the invention;
FIG. 2 is a flow diagram illustrating a method for parsing space payload input data according to an embodiment of the invention;
fig. 3 is a schematic flowchart of an event jump operation of a space payload input data parsing method according to an embodiment of the present invention.
Wherein the reference numerals include: data input means 1, data analysis means 2, and data output means 3.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention.
As shown in fig. 1, a space load input data parsing system includes: a data input unit 1, a data analysis unit 2 and a data output unit 3; the data input unit 1 is provided with a data input port, receives original input data to be analyzed and a parameter configuration table serving as a data analysis basis through the data input port, and transmits the original input data and the parameter configuration table to the data analysis unit 2; the data analysis unit 2 performs data analysis operation, reads an input parameter configuration table, performs data analysis on original input data according to various attributes of various parameters recorded in the parameter configuration table, extracts values of the various parameters, and transmits the extracted parameters to the data output unit 3; a data transmission channel is arranged between the data output unit 3 and the parameter equipment to be input, the extracted parameter value is transmitted to the parameter equipment to be input, and the parameter equipment to be input operates according to the received parameter value; the parameter configuration table is used for storing parameter attributes of the parameters, in the analysis process, the data analysis unit 2 firstly extracts the parameter attributes of the parameters from the parameter configuration table, carries out corresponding analysis according to the parameter attributes of the parameters, and extracts the values of the parameters from original input data; the parameters are grouped according to the events, each event comprises at least five parameters, and the parameters recorded in each parameter configuration table comprise an identification domain parameter and all parameters of at least one event.
In one embodiment of the invention, the attributes of all parameters include: parameter serial number, parameter name and parameter byte number; the data analysis unit 2 analyzes the parameters according to the ascending sequence of the parameter serial numbers, analyzes according to the parameter names, reads the original input data with corresponding length according to different parameter names by using different parameter analysis modes and the number of the parameter bytes, compares the read value with the value of the parameter attribute as the value of the parameter or as a judgment basis, and performs subsequent operation according to the comparison result; the attribute of the identification domain parameter also comprises an identification domain criterion value, when the identification domain parameter is analyzed, the read value is compared with the criterion value of the identification domain parameter, if the two are the same, the original input data corresponds to the parameter configuration table, subsequent analysis is carried out, if the two are different, the original input data does not correspond to the parameter configuration table, subsequent analysis is not carried out, data transmission is carried out again, and the original input data is ensured to correspond to the parameter configuration table.
In one embodiment of the invention, each event comprises a function identification parameter, a time identification parameter, a starting time parameter, a duration parameter, at least one parameter to be input; the function identification parameter and the time identification parameter are identification parameters, and the values of the parameters are not transmitted to the parameter equipment to be input; the attribute of the function identification parameter also comprises a criterion value and a cycle mark, the cycle mark comprises three types of a starting event mark, a tail event mark and a middle event mark, and is used for marking the position of the event in a parameter configuration table and providing a jump basis in the analysis process, the cycle mark of the function identification parameter of the first event in the parameter configuration table is the starting event mark, the cycle mark of the function identification parameter of the last event is the tail event mark, the cycle marks of the function identification parameters of the other events are the middle event marks, when the jump operation is carried out in the analysis process, the jump is carried out to the function mark with the cycle mark, and the jump object does not comprise the other parameters without the cycle marks; the criterion value is used for judging whether the data to be analyzed belongs to the event or not, when the function identification parameter is analyzed, the read value is compared with the criterion value of the function identification parameter, if the read value is the same as the criterion value of the function identification parameter, the data to be analyzed corresponds to the event, subsequent analysis is carried out, and if the read value and the function identification parameter are different, the data to be analyzed does not correspond to the event; the attributes of the time identification parameters also include a crossing parameter; the crossing parameter records the crossing basis in the analysis process, compares the value of the time identification parameter with the crossing basis, and performs corresponding subsequent operation; by adding the parameter of the time mark with the property of the spanning parameter, each event can be ensured to have a fixed format, a uniform analysis method is adopted for analysis, and in the actual work, the input time parameter is flexibly controlled, namely when the initial time parameter and/or the duration time parameter of the event have/has the state change, only the value of the time mark parameter needs to be changed, and an analysis program does not need to be changed.
The method part of the invention is described in detail below with reference to fig. 2 and 3:
as shown in fig. 2, a method for parsing space load input data includes:
the data input unit 1 transmits original input data to be analyzed and a parameter configuration table used as a basis for data analysis to the data analysis unit 2;
the data analysis unit 2 judges whether the original input data corresponds to the parameter configuration table or not through the identification domain criterion value of the identification domain parameter, if not, the subsequent analysis is not carried out, the data transmission is carried out again, and the original input data is ensured to correspond to the parameter configuration table;
the data analysis unit 2 analyzes the parameters according to the sequence of the parameter serial numbers, reads the original input data with corresponding length according to the number of the parameter bytes, and stops analyzing after analyzing the parameter with the maximum parameter serial number;
when the analyzed parameter is the time identification parameter, judging whether the initial time parameter and the duration parameter of the event are valid according to the value of the analyzed time identification parameter, skipping over the invalid parameter, and not analyzing;
when the analyzed parameter is the function identification parameter, comparing the analyzed value with the criterion value of the parameter, if the two are the same, the subsequent data is the parameter to be input of the event to which the parameter belongs, and performing subsequent analysis; if the difference is not the same, performing event skipping operation;
the data output unit 3 transmits the analyzed parameter values to the parameter equipment to be input.
As shown in FIG. 3, in one embodiment of the present invention, the event jump operation comprises:
skipping to the function identification parameter with the cycle mark as the initial event mark, comparing the analyzed value with the criterion value, if the value is still different, skipping to the next function identification parameter with the cycle mark, and comparing with the criterion value;
repeating the skip comparison process until the criterion value of the functional identification parameter is equal to the analyzed value, and the subsequent data corresponds to the event to which the functional identification parameter belongs, and the data analysis unit 2 performs subsequent analysis;
or the cycle mark of the skipped function identification parameter is the tail event mark, and the criterion value is still different from the analyzed value, so that the subsequent data has no corresponding event, and the data analysis unit 2 stops analyzing.
The data analysis method provided by the present invention is further described with reference to the following specific examples:
in the example, a PXI simulation case, a 1553B transmission bus, a BM bus detector and a high-performance Server are used as a hardware platform, an SQL Server 2012 database is used as a parameter configuration table and injection data storage, and a Visual Studio 2012 is used as a programming environment.
Installing an SQL Server 2012 database in a high-performance Server, setting a data table with a specific format as a parameter configuration table, and inputting parameter information of input data by using special input software; writing a data analysis program by Visual Studio 2012 programming software through C # language and installing the data analysis program on a server as a data analysis unit; the PXI simulation case, the 1553B transmission bus and the BM bus detector jointly form a data input unit, original input data are sent out by the PXI simulation case and transmitted to a space load through the 1553B transmission bus, the BM bus detector captures the original input data and stores the original input data in a database of the server, and the data analysis unit reads the parameter configuration table and the original input data for analysis.
To further explain the time identification parameters in conjunction with the examples, in the programmed control event of the example ZK module, the parameters are arranged as: function identification 1 byte, time identification 1 byte, starting time 6 bytes, duration 6 bytes and program control parameter 4 bytes.
When the time stamp value is 3, neither the start time nor the duration exists, and then the parameters are arranged as follows: function identification, time identification and program control parameters;
| 1 byte | 1 byte | 4 bytes |
| Function identification | Time identification | Program controlled parameter |
| - | 3 | - |
When the time stamp is 6, there is a start time and no duration, when the parameters are arranged as: function identification, time identification, starting time and program control parameters;
| 1 byte | 1 byte | 6 bytes | 4 bytes |
| Function identification | Time identification | Starting time | Program controlled parameter |
| - | 6 | - | - |
When the time stamp is 9, there is a start time and duration when the parameters are arranged as: function identification, time identification, starting time, program control parameters and duration;
| 1 byte | 1 byte | 6 bytes | 4 bytes | 6 bytes |
| Function identification | Time identification | Starting time | Program controlled parameter | Duration of time |
| - | 9 | - | - | - |
When the time label is C, there is a duration and no start time, and the parameters are arranged as follows: function identification, time identification, program control parameters and duration.
| 1 byte | 1 byte | 4 bytes | 6 bytes |
| Function identification | Time identification | Program controlled parameter | Duration of time |
| - | C | - | - |
Aiming at the difference of the parameters, the invention configures the parameters of 'time mark', unifies the formats of all events, sets a 'spanning parameter' item in the parameters of 'time mark', judges whether the initial time parameter and the duration parameter of the events are effective or not according to the difference of the values of the time marks, and the formats of the events are as follows.
The analysis program reads the parameter configuration table and the hexadecimal original input data, when the time identifier is analyzed, the value of the time identifier parameter is judged, whether the subsequent starting time and the subsequent duration are valid is determined according to the parameter value, for example, when the time identifier is 3, the starting time parameter and the duration parameter are invalid, the analysis program crosses the two parameters, and the next parameter is a 'program control parameter'.
An example parameter configuration table is as follows, in which the start loop flag is B, the middle loop flag is C, and the end loop flag is E:
example raw input data is: 1FBD C303 FDC3 5545C 506 CEFA37D67BFA FD64 EEDD A4B5 38AA AAAA AAAA.
The flow of data parsing for the example is as follows:
the data analysis unit 2 analyzes the identification domain parameter with the parameter serial number of 1, takes 2 bytes of data from the original data as '1 FBD', compares the data with the identification domain criterion value of the identification domain parameter, and continues to perform subsequent analysis when the data and the identification domain criterion value are equal;
analyzing the event 1 function identification parameter with the parameter serial number of 2, taking 1 byte of data from the original data, and comparing the data with the criterion value of the event 1 function identification parameter to obtain a value C3, wherein the value C3 is equal to the criterion value of the event 1 function identification parameter, and continuing to perform subsequent analysis;
analyzing the event 1 time identification parameter with the parameter serial number of 3, taking 1 byte of data from the original data as the value of the event 1 time identification parameter, wherein the value is '03', and the value indicates that the starting time parameter and the duration parameter of the event 1 are invalid, namely, the analysis of the starting time parameter and the duration parameter of the event 1 with the subsequent parameter serial numbers of 4 and 6 respectively is skipped;
analyzing the parameter to be input of the event 1 with the parameter serial number of 5, taking 4 bytes of data from the original data as the value of the parameter to be input of the event 1, and obtaining the value of 'FDC 35545';
analyzing the event 2 function identification parameter with the parameter serial number of 7, taking 1 byte of data from the original data, and comparing the data with the criterion value of the event 1 function identification parameter, wherein the data is 'C5', and the criterion value is different from the criterion value of the event 1 function identification parameter, and performing event skip operation;
skipping to the event 1 function identification parameter with the cycle mark B, comparing the C5 with the criterion value of the event 1 function identification parameter with the cycle mark B, continuing skipping, skipping to the event 2 function identification parameter with the cycle mark C, comparing the C5 with the criterion value of the event 2 function identification parameter with the cycle mark C, continuing skipping, skipping to the event 3 function identification parameter with the cycle mark C, comparing the C5 with the criterion value of the event 3 function identification parameter with the cycle mark C, and continuing to perform subsequent analysis if the C5 function identification parameter is equal to the criterion value of the event 3 function identification parameter;
analyzing the event 3 time identification parameter with the parameter serial number of 15, taking 1 byte of data from the original data as the value of the event 1 time identification parameter, wherein the value is '06', and the value indicates that the duration parameter of the event 3 is invalid, namely, the analysis of the subsequent event 3 duration parameter with the parameter serial number of 19 is skipped;
analyzing the event 3 starting time parameter with the parameter sequence number of 16, taking data of 6 bytes from the original data as the value of the event 3 starting time parameter, and taking the value as 'CEFA 37D67 BFA';
analyzing the parameter 1 to be input of the event 3 with the parameter serial number of 17, taking 3 bytes of data from the original data as the value of the parameter 1 to be input of the event 3, and setting the value as 'FD 64 EE';
analyzing the parameter 2 to be input of the event 3 with the parameter serial number of 18, taking 4 bytes of data from the original data as the value of the parameter 3 to be input of the event 3, and setting the value as 'DDA 4B 538';
analyzing the event 4 function identification parameter with the parameter serial number of 20, taking 1 byte of data from the original data as 'AA', comparing the data with the criterion value of the event 4 function identification parameter, and performing event skip operation when the data and the criterion value are different;
skipping to the event 1 function identification parameter with the cycle mark B, comparing AA with the criterion value thereof, continuing skipping, skipping to the event 2 function identification parameter with the cycle mark C, comparing AA with the criterion value thereof, continuing skipping, skipping to the event 3 function identification parameter with the cycle mark C, comparing AA with the criterion value thereof, continuing skipping, skipping to the event 4 function identification parameter with the cycle mark E, comparing AA with the criterion value thereof, and stopping analysis if AA is not equal.
In the description of the specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it should be understood that the above embodiments are exemplary and should not be taken as limiting the invention. Variations, modifications, substitutions and alterations of the above-described embodiments may be made by those of ordinary skill in the art without departing from the scope of the present invention.
The above embodiments of the present invention should not be construed as limiting the scope of the present invention. Any other corresponding changes and modifications made according to the technical idea of the present invention should be included in the protection scope of the claims of the present invention.
Claims (2)
1. A space payload input data parsing system, comprising: the device comprises a data input unit, a data analysis unit and a data output unit; the data input unit transmits original input data to be analyzed and a parameter configuration table serving as a data analysis basis to the data analysis unit; the data analysis unit carries out data analysis on the original input data according to the parameter configuration table and extracts values of all parameters; the data output unit transmits the parameter value to the parameter equipment to be input; grouping parameters according to the events, wherein the parameter configuration table stores parameter attributes, including an identification domain parameter attribute and all parameter attributes of at least two events;
the attributes of all the parameters include: parameter serial number, parameter name and parameter byte number; the data analysis unit analyzes parameters according to the parameter serial number sequence and reads the original input data with corresponding length according to the number of bytes of the parameters; the attribute of the identification domain parameter also comprises an identification domain criterion value, and the identification domain criterion value is used for judging whether the original input data corresponds to the parameter configuration table;
each event comprises a function identification parameter, a time identification parameter, a starting time parameter, a duration parameter and at least one parameter to be input; the attribute of the function identification parameter also comprises a criterion value and a cycle mark, and the cycle mark comprises a starting event mark, an ending event mark and a middle event mark; the criterion value is used for judging whether the data to be analyzed belongs to the event; the loop mark is used for marking the position of the event in the parameter configuration table and providing a jump basis in the analysis process; the attributes of the time identification parameters further include a crossing parameter; and recording crossing bases in the analysis process by the crossing parameters, comparing the values of the time identification parameters with the crossing bases, and performing corresponding subsequent operations.
2. A method for analyzing space load input data is characterized by comprising the following steps:
the data input unit transmits original input data to be analyzed and a parameter configuration table used as a basis for data analysis to the data analysis unit;
the data analysis unit judges whether the original input data corresponds to the parameter configuration table or not through the identification domain criterion value of the identification domain parameter, if not, subsequent analysis is not carried out, a technician is reminded to carry out data transmission again, and the original input data is ensured to correspond to the parameter configuration table;
the data analysis unit analyzes the parameters according to the sequence of the parameter serial numbers, reads the original input data with corresponding length according to the number of the parameter bytes, and stops analyzing after analyzing the parameter with the maximum parameter serial number;
when the analyzed parameter is the time identification parameter, comparing the value of the analyzed time identification parameter with the crossing basis recorded in the crossing parameter, judging whether the initial time parameter and the duration parameter of the event are effective, skipping the invalid parameter, and not analyzing;
when the analyzed parameter is the function identification parameter, comparing the analyzed value with the criterion value of the parameter, and if the two are the same, performing subsequent analysis; if the difference is not the same, performing event skipping operation; if the event jump operation determines that the subsequent data has no corresponding event, the data analysis unit stops analyzing;
the event jump operation includes:
skipping to the function identification parameter with the cycle mark as the initial event mark, comparing the analyzed value with the criterion value, if the analyzed value is still different, skipping to the next function identification parameter with the cycle mark, and comparing the next function identification parameter with the criterion value;
repeating the skip comparison process until the criterion value of the functional identification parameter is equal to the analyzed value, and the subsequent data corresponds to the event to which the functional identification parameter belongs, and the data analysis unit performs subsequent analysis;
or the cycle mark of the skipped function identification parameter is an end event mark, and the criterion value is still different from the analyzed value, the subsequent data has no corresponding event, and the data analysis unit stops analyzing;
and the data output unit transmits the analyzed parameter values to the equipment with the parameters to be input.
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