CN109946687B - Unmanned platform integrated radio frequency system working mode decision method - Google Patents
Unmanned platform integrated radio frequency system working mode decision method Download PDFInfo
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Abstract
The invention relates to a working mode decision method of an unmanned platform integrated radio frequency system. Aiming at the working mode decision requirement in the current unmanned platform application, a decision software functional architecture, a working process, a target threat degree, a task priority and other typical reasoning parameter models which are integrated with manual intervention and computer decision support are designed. The method utilizes information such as a target and environment knowledge base, real-time data acquisition, sensor use rules and the like, solves the problem of autonomous decision making of the comprehensive radio frequency system in an unattended state through a few-level and structured reasoning engine, guarantees the functions, considers the real-time and light-weight requirements of the system, and meets the carrying requirement of an unmanned platform.
Description
Technical Field
The present invention relates to the field of decision support.
Background
The comprehensive radio frequency detection system is a multifunctional radar system, carries a multi-band distributed antenna aperture, and realizes system function management through the combination of links such as working mode selection, resource and task scheduling in the working mode, system efficiency evaluation optimization and the like. Integrated radio frequency systems typically include the following functions: early warning detection, electronic detection, electromagnetic interference, communication, co-location and the like. The integrated radio frequency system is usually designed with several typical working modes, each working mode is a solution for a set of specific functions, parameters and workflows of a typical application and can be called repeatedly. The working mode is designed according to the function requirement, the working principle, the application environment, the use rule and the like of the comprehensive radio frequency system; in the using process, the working mode is selected according to the target and environment information detected in real time and the using rule. The comprehensive radio frequency system is very important and complex due to a plurality of factors related to the selection of the working mode, and currently, the manual selection mode is mainly used domestically.
The unmanned platform has more and more prominent functions due to the advantages of high concealment (small RCS), long endurance, strong environmental adaptability (capable of executing dangerous and high-strength tasks) and the like. And the problem that the comprehensive radio frequency system carried by the unmanned platform must be considered and the working mode is selected autonomously is solved.
Tasks executable by the current foreign hundred-ton unmanned platform mainly comprise passive reconnaissance, cooperative passive positioning, electromagnetic interference/decoy, communication and the like.
Disclosure of Invention
The invention provides a working mode decision method of an unmanned platform integrated radio frequency system, aiming at the working mode decision requirement of the unmanned platform integrated radio frequency system in a complex environment. The specific implementation process is as follows:
s1: analyzing the functions, the executed task types and the preliminary resource using scheme of the comprehensive radio frequency system according to the functions and the allocated resources of the comprehensive radio frequency system;
s2: constructing a decision software functional architecture as shown in FIG. 1, specifically comprising functional units such as a target and environment information base, a rule base and model base, a target database, an inference engine, a manual interaction and the like;
s3: setting a certain working mode as a default working mode of the unmanned platform integrated radio frequency system, starting the system to execute a preset default task set, and simultaneously acquiring and processing information to generate target data;
s4: the working mode decision software receives target data detected by the platform in real time and target data shared by the cooperative platform, carries out data warehousing pretreatment, completes classification, matching and symbolization, brings newly added target data into a target knowledge base, and completes target information updating;
s5: the inference engine matches and compares the measured data with a target information base, calculates the target threat degree, generates a platform task request according to a task trigger rule, and combines the platform task request with a cooperative task request and a superior control command to generate a task set 1; calculating the comprehensive task priority of each task in the task set 1; and carrying out autonomous judgment on the working mode to obtain an autonomous judgment result of the working mode.
S6: and comparing the autonomous decision result with the manual intervention command, sending prompt and confirmation information to a command control center according to the decision 3 result, and generating a final working mode decision result.
S7: the task set 2 is generated by delaying tasks in the task set 1 that do not belong to the operation mode, adding tasks that belong to the operation mode and are not included in the task set 1.
S8: the sensor function management and control software carries out task planning, task allocation to the sensor and task arrangement according to the current resource use condition;
s9: the sensor starts working and new target data is generated.
The invention has the following beneficial effects:
1. decision support is realized through 3 times of online rule reasoning, the reasoning process is simplified, the requirements of intelligent decision on data and computing resources in an embedded environment are overcome, and the real-time performance is improved;
2. real-time data sharing and collaborative detection are achieved through the unmanned platform communication function, the target information dimensionality is increased, and the decision reliability is improved.
3. According to the application occasion of the unmanned platform integrated radio frequency system, the core characteristics (target threat degree) of a detected object are used as the elements of working mode judgment, and the method has better universality in unmanned platform sensor decision.
Figures and description
Fig. 1 is a work mode decision function architecture.
Fig. 2 is a work mode decision flow.
Detailed Description
The invention provides a working mode decision method of an unmanned platform integrated radio frequency system. The method is based on the thought of a Decision Support System (DSS), adopts a composition framework of a knowledge base, a database, a model base and manual interaction, and researches the design of a working mode autonomous decision model, thereby realizing the decision support function which is light in weight, high in real-time performance and meets the requirement of an operation task. The functional architecture of the invention is shown in fig. 1, wherein a dashed box is provided with decision software, and the decision software comprises five functional units:
(1) object and environment knowledge base
The target knowledge base comprises information such as electromagnetic radiation characteristics of the radiation source target, target attributes, model numbers, platform dynamics types, platform mechanical motion speed ranges, motion space ranges and the like. The environment knowledge base comprises longitude and latitude, height, administrative districts, military target activity intervals, civil target activity intervals and other information.
(2) Real-time database
1) The platform detection data comprises radar active target point track, flight track, target identification result and radiation source description word data (EDW) which are updated in real time;
2) other platform probe data: the unmanned platform generally has a wireless communication function, can support data sharing and cooperative work, and can increase the information amount and information dimension by using data obtained by the cooperative work. Through the cooperative channel, the unmanned platform can share target information with other platforms and can also mutually initiate/receive cooperative task requests.
3) Target information storage preprocessing: and classifying, matching, symbolizing and warehousing the found new target.
(3) Model and rule base
1) A target threat degree model: the method comprises the steps of calculating the additional threat degree generated by the combination of the threat degree of the target and other targets according to the following formula:
Di＝a·Fi+b·Qi (1)
Di: the threat level of the ith target, i ═ 1,2, …, N. N is the total number of target batches.
Fi: and calculating the threat degree obtained by the self parameter of the ith target.
Qi: additional threat levels assigned to the ith target resulting from other targets in the same batch.
and a and b are weight coefficients of the threat terms.
2) And (3) task model: and designing specific task types according to the functional requirements of the comprehensive radio frequency system, wherein each task comprises a relative execution priority parameter, and designing a priority model of each task according to an operation rule. The main task types that the unmanned platform integrated radio frequency system can execute include: passive searching, passive tracking, cooperative passive positioning, electromagnetic interference/spoofing, communication, active searching, active tracking, active target identification, and the like.
3) Task trigger rules: and performing information fusion according to the real-time data, and generating different task models according to results. If the threat degree of the intercepted radiation source target reaches a certain level, judging as a key radiation source, and generating a co-location task; and when the cooperative condition is not met, generating a passive guiding active tracking task.
4) Task priority model: and designing a task priority parameter model of the comprehensive radio frequency system according to the detection environment, the object and the designed functional indexes of the comprehensive radio frequency system. The task priority model comprises four elements of regional priority, target threat degree, task type priority and task deadline. The comprehensive priority of the design task is a linear function:
Pj＝w1Xj+w2Dj+w3Aj+w4DTj (2)
the meaning of the parameters:
Pj: the j-th target priority, j ≧ 1,2, …, M ≧ N. M is the total number of tasks.
Xj: task type priority order of jth task. The sequence X is obtained by ranking the M tasks from high to low in task priority.
Dj: target threat level number for jth task. Sequence D was obtained by ranking the M tasks from high to low in threat.
Aj: the corresponding monitored airspace priority number for the jth task. Sequence a is obtained by ranking the M tasks from high to low spatial importance.
DTj: the deadline priority order of the jth task. The sequence DT is obtained by arranging the M tasks from small to large according to the deadline.
w1，w2，w3，w4: is a weight coefficient of the priority factor. Can be dynamically adjusted according to the mission and the working environment of the integrated radio frequency system.
5) The working mode model is as follows: according to a typical working mode designed by a comprehensive radio frequency system mission, each working mode comprises a certain task set, and intersection exists among the task sets, but each working mode can be distinguished according to a certain characteristic. This set of tasks and features constitutes a working mode model. The method takes a unique symbolic task type as a working mode distinguishing characteristic.
6) Working mode autonomous decision rule: and (4) according to the unmanned platform application environment and the conversion condition between the working modes designed by the use rule. In the method, the task type with the highest priority in the task set 1 is used as a judgment parameter, and when the judgment parameter is consistent with the symbolic task type under a certain working mode, the task type is converted into the working mode.
7) The working mode decision error alarm triggering rule is as follows: and when the manual intervention command is different from the current autonomous judgment result, giving an alarm, and prompting the current judgment result and the current high threat target information.
8) Selection principle of manual decision and autonomous decision: and when receiving the manual intervention command, preferentially executing the manual intervention command, otherwise, executing an autonomous judgment result.
(5) Inference engine unit
Matching and comparing the measured data with a target information base, carrying out reasoning calculation by combining a model and a rule, calculating two parameters of threat degree and task priority, finishing 2 times of judgment, and obtaining a working mode autonomous judgment result.
Decision 1: generating a task set 1 under the driving of a task triggering rule based on a target threat degree calculation result;
and decision 2: based on the task priority calculation result, generating a working mode autonomous judgment result under a working mode autonomous judgment rule;
(6) human interaction unit
And a target information transmission interface and a manual control command interface exist between the decision software and the superior command control center. Through the interface, the watch keeper sends a manual intervention command to the decision software, and the decision software sends a warning prompt and working mode confirmation information to the watch keeper according to the result of the decision 3. And after receiving the manual confirmation result, the decision software selects the working mode of manual confirmation as the final decision result.
And 3, judgment: when the decision software does not receive the manual control command, directly executing the computer autonomous decision result; when receiving the intervention command of the working mode which is the same as the autonomous decision result of the computer, executing the result; when the difference is not the same, a warning prompt is sent out, and whether the work mode intervention command is executed or not is inquired.
Claims (4)
1. A working mode decision method of an unmanned platform integrated radio frequency system is characterized by comprising the following steps:
s1: analyzing the functions, the executed task types and the preliminary resource using scheme of the comprehensive radio frequency system according to the functions and the allocated resources of the comprehensive radio frequency system;
s2: constructing a decision software functional architecture which comprises a target and environment information base, a rule base and model base, a target database, an inference engine and a manual interaction functional unit;
s3: setting a certain working mode as a default working mode of the unmanned platform integrated radio frequency system, starting the system to execute a preset default task set, and simultaneously acquiring and processing information to generate target data;
s4: the working mode decision software receives target data detected by the platform in real time and target data shared by the cooperative platform, carries out data warehousing pretreatment, completes classification, matching and symbolization, brings newly added target data into a target knowledge base, and completes target information updating;
s5: the inference engine matches and compares the measured data with a target information base, calculates the target threat degree, generates a platform task request according to a task trigger rule, and combines the platform task request with a cooperative task request and a superior control command to generate a task set 1; calculating the comprehensive task priority of each task in the task set 1; carrying out autonomous judgment on the working mode to obtain an autonomous judgment result of the working mode;
s6: comparing the autonomous decision result with the manual intervention command, sending prompt and confirmation information to a command control center according to the comprehensive decision result, and generating a final working mode decision result; wherein the process of comprehensive judgment is as follows: when the decision software does not receive the manual intervention command, directly executing the computer autonomous decision result; when receiving the intervention command of the working mode which is the same as the autonomous decision result of the computer, executing the result; when the working mode intervention command is different from the preset working mode intervention command, sending a warning prompt and inquiring whether to execute the working mode intervention command;
s7: delaying tasks in the task set 1 which do not belong to the working mode, adding tasks which belong to the working mode and are not contained in the task set 1, and generating a task set 2;
s8: the sensor function management and control software carries out task planning, task allocation to the sensor and task arrangement according to the current resource use condition;
s9: the sensor starts working and new target data is generated.
2. The unmanned platform integrated radio frequency system working mode decision method according to claim 1, characterized in that: the target threat level in step S5 is: the target threat is used as a decision parameter for generating the task request trigger, and the threat degree model comprises the threat degree of the target and the additional threat degree generated by combining with other targets.
3. The unmanned platform integrated radio frequency system working mode decision method according to claim 1 or claim 2, characterized in that: the task priority model in the step S5 includes four elements of target threat level, task type priority, region priority, and task deadline.
4. The unmanned platform integrated radio frequency system working mode decision method according to claim 1 or claim 2, characterized in that: the working mode decision rule of step S5 is: and taking the unique symbolic task type as a working mode distinguishing characteristic, and taking the task type with the highest priority in the task set 1 as a judgment parameter.
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