CN112904397B - Electronic reconnaissance method and system based on sand heap model - Google Patents
Electronic reconnaissance method and system based on sand heap model Download PDFInfo
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Abstract
The invention discloses an electronic reconnaissance method and system based on a sand pile model, wherein the electronic reconnaissance method comprises the steps of establishing the sand pile model, acquiring pheromones of a target radiation source when an electromagnetic intelligent body reconnaissance target radiation source, triggering an evolution process of the sand pile model, determining the diffusion direction of the pheromones according to the collapse direction of sand when the sand collapses in the evolution process, executing the diffusion process, reporting the weighted sum as a reconnaissance result by the electromagnetic intelligent body when the weighted sum of the electromagnetic intelligent body reaches a threshold value, and the like. The method is based on the evolution rule of the sand pile model, the collapse of the sand pile in the grid corresponding to the electromagnetic intelligent agent represents the diffusion of the reconnaissance pheromone, the reconnaissance credibility degree of the electromagnetic intelligent agent to the target radiation source, namely the confidence coefficient, can be correspondingly increased every time the pheromone is transmitted, and the obtained reconnaissance information is more accurate due to the increase of the confidence coefficient. The invention is widely applied to the technical field of electromagnetism.
Description
Technical Field
The invention relates to the technical field of electromagnetism, in particular to an electronic reconnaissance method and system based on a sand heap model.
Background
The self-organization criticality theory is a concept proposed in the 80 th of the 20 th century and is used for explaining the behavior characteristics of a complex dissipation system, namely, dissipation structures which are open in nature and far from equilibrium states and interaction evolve towards a critical state spontaneously through a self-organization process. In the critical state, external small disturbance can initiate chain reaction and cause final mutation, so that all the space-time correlation functions are power-degree, and the characteristics of power-law distribution can be used as evidence of self-organization criticality.
In order to explain the concept of self-organization criticality, bak, tang and Wiesenfeld construct a sand heap model in 1987, and through simulation, the system enters a self-organization critical state when the system reaches or exceeds a certain threshold value, and the intensity distribution of sand heap avalanche appears to be a power law distribution characteristic. The sand heap model has been widely used in a number of fields. In the disaster prediction field, a sand heap model is used as a generalization model of a mountain natural disaster, the evolution characteristics of the mountain disaster are analyzed, and power law distribution characteristics and self-organization criticality are shown to be common of a plurality of mountain natural disasters; in the field of economics, the comprehensive indexes of the Shanghai dialect and the Jiaxian military are used as samples, and the rising process of the Shanghai dialect is obtained by using a statistical analysis method to meet power law distribution; in the environmental protection field, the water bloom pollution behavior of the three gorges reservoir area is researched based on a sand pile model, and the internal mechanism and the evolution process of water bloom are analyzed through modeling. At present, no technical scheme for applying the sand heap model to the field of electronic reconnaissance exists.
Disclosure of Invention
In view of at least one of the above technical problems, the present invention aims to provide an electronic reconnaissance method and system based on a sand heap model.
In one aspect, the embodiment of the invention includes an electronic reconnaissance method based on a sand heap model, a plurality of electromagnetic agents are used for reconnaissance of a target radiation source, and the electronic reconnaissance method based on the sand heap model comprises the following steps:
building a sand pile model; each grid in the sand heap model corresponds to one electromagnetic intelligent body respectively, and the relative position relationship among the grids is determined by the neighborhood relationship of each corresponding electromagnetic intelligent body;
when any one electromagnetic agent detects the target radiation source, the electromagnetic agent which detects the target radiation source obtains the pheromone of the target radiation source and triggers the evolution process of the sand heap model; in the evolution process, sand is placed on the grid corresponding to the electromagnetic intelligent agent for detecting the target radiation source, and the frequency of placing the sand is determined by the occurrence time of the target radiation source;
when sand collapse occurs in the evolution process, determining the diffusion direction of the pheromone according to the collapse direction of the sand;
performing a diffusion process; in the diffusion process, each electromagnetic agent obtains a weighted sum value of the pheromone, and diffuses the weighted sum value in the diffusion direction;
and when the weighted sum of any one of the electromagnetic agents reaches a threshold value, the electromagnetic agent reports the weighted sum as a reconnaissance result.
Further, the weighted sum value of the electromagnetic agent is the weighted sum result of the pheromone detected by the electromagnetic agent at the current moment, the pheromone detected by the electromagnetic agent at the previous moment and the received diffused pheromone.
Further, the number of times the sand is placed is determined by the time of occurrence of the target radiation source, including:
when the appearance time of the target radiation source is not more than a first time critical value, the frequency of placing sand is zero;
when the appearance time of the target radiation source is larger than the first time critical value, the number of the sand placing times is in direct proportion to the appearance time of the target radiation source.
Further, the electronic reconnaissance method based on the sand heap model further comprises the following steps:
and after the electromagnetic agent reports the weighted sum value, the detected and received pheromone of the target radiation source is cleared.
Further, the electronic reconnaissance method based on the sand heap model further comprises the following steps:
in the diffusion process, when the working duration corresponding to the grid is longer than a second time critical value, setting the quantity of sand in the grid to be 3; the working duration is a duration in which the amount of sand in the grid is greater than or equal to 4 and the amount of sand remains constant.
On the other hand, the embodiment of the invention also comprises an electronic reconnaissance system based on a sand pile model, a plurality of electromagnetic agents are used for reconnaissance of target radiation sources, and the electronic reconnaissance system based on the sand pile model comprises:
the system comprises a first module, a second module and a third module, wherein the first module is used for establishing a sand pile model; each grid in the sand heap model corresponds to one electromagnetic intelligent body respectively, and the relative position relationship among the grids is determined by the neighborhood relationship of each corresponding electromagnetic intelligent body;
the second module is used for acquiring pheromones of the target radiation sources and triggering the evolution process of the sand pile model when any electromagnetic agent scouts the target radiation sources and the electromagnetic agent scouting the target radiation sources; in the evolution process, sand is placed on the grid corresponding to the electromagnetic intelligent agent for detecting the target radiation source, and the frequency of placing the sand is determined by the occurrence time of the target radiation source;
the third module is used for determining the diffusion direction of the pheromone according to the sand collapse direction when sand collapse occurs in the evolution process;
a fourth module for performing a diffusion process; in the diffusion process, each electromagnetic agent obtains a weighted sum value of the pheromone, and diffuses the weighted sum value in the diffusion direction;
and the fifth module is used for reporting the weighted sum value as a scout result when the weighted sum value of any one of the electromagnetic agents reaches a threshold value.
Further, the weighted sum value of the electromagnetic agent is the weighted sum result of the pheromone detected by the electromagnetic agent at the current moment, the pheromone detected by the electromagnetic agent at the previous moment and the received diffused pheromone.
Further, the number of times the sand is placed is determined by the time of occurrence of the target radiation source, including:
when the occurrence time of the target radiation source is not more than a first time critical value, the frequency of placing sand is zero;
when the appearance time of the target radiation source is larger than the first time critical value, the number of the sand placing times is in direct proportion to the appearance time of the target radiation source.
Further, the fifth module is further configured to:
and after the electromagnetic agent reports the weighted sum value, the detected and received pheromone of the target radiation source is cleared.
Further, the fourth module is further configured to:
in the diffusion process, when the working duration corresponding to the grid is longer than a second time critical value, setting the quantity of sand in the grid to be 3; the operational duration is a duration in which the amount of sand in the grid is greater than or equal to 4 and the amount of sand remains constant.
The beneficial effects of the invention are: according to the electronic reconnaissance method based on the sand pile model in the embodiment, after a certain electromagnetic intelligent body reconnaissance target, the collapse of the sand pile in the grid corresponding to the electromagnetic intelligent body represents the diffusion of reconnaissance pheromone based on the evolution rule of the sand pile model, the reconnaissance credibility degree of the electromagnetic intelligent body to the target radiation source, namely the confidence coefficient, is correspondingly increased every time the pheromone is transmitted, meanwhile, the frequency measurement and direction measurement information in the pheromone are weighted until the pheromone of the target radiation source exceeds a certain threshold value, and then the pheromone is uploaded to serve as a reconnaissance result, and due to the fact that the confidence coefficient is increased, the obtained reconnaissance information is more accurate.
Drawings
FIG. 1 is a flow chart of an electronic reconnaissance method based on a sand heap model in an embodiment;
FIG. 2 is a schematic diagram of an electronic reconnaissance method based on a sand heap model in an embodiment;
fig. 3 is a graph of the statistics of the "avalanche" scale and the corresponding number of events for the implementation of the sand heap model-based electronic reconnaissance method in the example.
Detailed Description
In this embodiment, the applied sand heap model has the following principle: the classical sand heap model is two-dimensional, i.e. the number of sands in a plane of M x N, the grid coordinates (x, y) is z (x, y). Randomly selecting one grid at a time to place one sand, namely z (x, y) ← z (x, y) +1,when the number of sand existing in a certain grid is larger than or equal to the critical value Z max Then an "avalanche" event is caused and the sand of that grid falls on average to the 4 grids adjacent to it. If the sand number of the adjacent grids is larger than or equal to the critical value Z max A new round of "avalanche" events is initiated until the number of sands in all grids does not exceed the threshold. When an "avalanche" occurs at the boundary of the M x N plane, it is considered that sand falls outside the boundary, and sand falling outside the boundary no longer undergoes an "avalanche".
During the process of adding sand, if the sand of all grids is added, the total number of the sand is found to be increased in the initial period of time; when the sand is added for a sufficient number of times, the total amount of sand in the grid tends to stabilize with small fluctuations above and below a value. The sand heap model can now be considered to have reached a critical state of self-organization.
When a plurality of electromagnetic agents are used to perform a reconnaissance mission, the following characteristics are generally provided:
(1) The appearance time and duration of the target are random;
(2) In order to enhance the accuracy of reconnaissance, at a certain moment, when a certain electromagnetic intelligent agent reconnaissance targets, target information is transmitted to a neighborhood electromagnetic intelligent agent, the neighborhood intelligent agent corrects the received target information, reconnaissance and emergence are realized after multiple times of information transmission, and the report of a reconnaissance result is completed;
(3) And (3) when the target disappears and after a period of time, the electromagnetic agents do not perform information interaction any more, the state of the electromagnetic agents at the moment can express a 'fading' mechanism, and the process of the step (2) is continuously repeated until a new target appears.
Referring to fig. 1, the electronic reconnaissance method based on the sand heap model in the embodiment includes the following steps:
s1, establishing a sand pile model;
s2, when any electromagnetic agent detects a target radiation source, the electromagnetic agent detecting the target radiation source obtains the pheromone of the target radiation source and triggers the evolution process of the sand heap model; in the evolution process, sand is placed on the grid corresponding to the electromagnetic intelligent body for detecting the target radiation source, and the frequency of placing the sand is determined by the occurrence time of the target radiation source;
s3, when sand collapse occurs in the evolution process, determining the diffusion direction of the pheromone according to the collapse direction of the sand;
s4, executing a diffusion process; in the diffusion process, each electromagnetic agent obtains the weighted sum value of the pheromone and diffuses the weighted sum value in the diffusion direction;
and S5, when the weighted sum of any electromagnetic agent reaches a threshold value, the electromagnetic agent reports the weighted sum as a reconnaissance result.
In this embodiment, the principle of steps S1 to S5 is shown in fig. 2.
In the step S1, the established sand heap model is a two-dimensional sand heap model, the sand heap model is composed of a plurality of grids, each grid corresponds to one electromagnetic agent, and the relative position relationship between the grids is determined by the neighborhood relationship of each corresponding electromagnetic agent. For example, an electromagnetic agent may have 4 neighborhood electromagnetic agents, and accordingly, the corresponding grid of the electromagnetic agent may have 4 neighboring grids, and the 4 neighboring grids may correspond to the 4 neighborhood electromagnetic agents, respectively.
In the step S2, when any electromagnetic agent detects the target radiation source through detecting electromagnetic waves, the electromagnetic agent which detects the target radiation source obtains the pheromone of the target radiation source, and the evolution process of the sand pile model is triggered. According to the evolution rule of the sand pile model, when the sand number of a certain grid exceeds a set value, collapse can be caused. According to the characteristics of a reconnaissance scene, an electromagnetic intelligent body is divided into two states: a target search state and a scout correction state. In this embodiment, the corresponding relationship between the state of the electromagnetic agent and the amount of sand in the grid corresponding to the electromagnetic agent is defined as follows:
the amount z (x, y) of sand in the grid determines the electromagnetic intelligenceThe state of the body. And when z (x, y) is 0-3, the corresponding electromagnetic agent is in a target searching state, and the electromagnetic agent in the target searching state receives the pheromone transmitted by the adjacent electromagnetic agent. For example, when an electromagnetic agent I is in a target search state, the electromagnetic agent I receives a pheromone delivered by a neighboring agent j and transmits a currently received pheromone I j (t) and the pheromone value I at the previous time j (t-1) weighting to obtain a weighted sum I of pheromones i (t) is represented by the formula I i (t)＝(I j (t)+I j (t-1))/2。
When z (x, y) is 4-7, the corresponding electromagnetic agent is in a reconnaissance correction state. For example, when z (x, y) has a value of 4, the electromagnetic agent i adjusts its flight direction and reconnaissance direction according to the previously received direction-finding information in the pheromone. In the following process, in addition to receiving pheromones transmitted by other electromagnetic agents, the electromagnetic agent I simultaneously scouts itself, so that it is necessary to weight the pheromones of the two agents, that is, the weighted sum value I of the electromagnetic agent I i (t) is the pheromone I detected by the electromagnetic agent I at the current moment i (t) pheromone I detected by itself at a previous time i (t-1) and receiving the diffused pheromone I j (t) the result of the weighted sum, formulated as I i (t)＝(I i (t)+I j (t))/2、I i (t)＝(I i (t)+I i (t-1))/2。
When step S4 is executed, each time the pheromone is weighted, the confidence change can be regarded as increasing once by the minimum step size, which is represented by S i (k)＝s i (k)+δ s . Wherein s is i (k) To a confidence level, δ s Is the minimum step size of confidence.
When steps S3 and S4 are executed, when the number of sand in a certain grid is greater than or equal to 8, the grid collapses to the periphery, and a diffusion effect is caused, and a sand grain is added to each of 4 adjacent grids, which is expressed by a formula:
z(x±1,y)←z(x±1,y)+1；
z(x,y±1)←z(x,y±1)+1。
the sand collapse direction is the pheromone transmission direction, that is, when the number of sands in a certain grid is greater than or equal to 8, the electromagnetic agent corresponding to the grid transmits the pheromone to the surrounding electromagnetic agents.
In step S5, when the weighted sum result of the pheromone detected by a certain electromagnetic intelligent agent at the current moment, the pheromone detected by the certain electromagnetic intelligent agent at the previous moment and the received diffused pheromone exceeds a certain threshold value S c When (e.g. s) c = 0.99), avalanche happens, the electromagnetic intelligent agent uploads the pheromone as a reconnaissance result to an upper computer or a server in a remote communication mode, and then one-time emergence reconnaissance is completed.
In this embodiment, the electromagnetic agent that completes uploading of the reconnaissance result may gradually clear all pheromones of the target radiation source in a short-range communication manner according to an "avalanche" principle, that is, may zero out the pheromones of the target radiation source that is detected by itself and received, and may retain the pheromones of other non-target radiation sources.
In an actual scenario, when the target continuously appears for a period of time and then disappears, the electromagnetic intelligent state of the adjacent area is kept in a stable state, that is, the intelligent state is kept unchanged due to no energy injection. Thus, the above-described characteristics can be utilized to achieve "fade out" of the system. In this embodiment, when step S2 is executed, the number of times of placing sand is determined by the occurrence time of the target radiation source, specifically: when the target radiation source's time of occurrence target _ time is not greater than the first time threshold T C The sand placing times are zero, namely, sand is not placed on the grid corresponding to the electromagnetic intelligent body when the step S2 is executed; when the appearance time target _ time of the target radiation source is larger than the first time critical value T C The number of sand placement is proportional to the occurrence time of the target radiation source, that is, the longer the occurrence time target _ time of the target radiation source is, the larger the amount of sand placed on the grid corresponding to the electromagnetic agent when step S2 is performed. On the other hand, during the diffusion process, each grid (x, y) has a corresponding operation duration t (x, y), where the operation duration t (x, y) is the meshThe duration of time during which the quantity of sand in the grid (x, y) is greater than or equal to 4 and the quantity of sand remains constant, when there is a grid corresponding to a working duration greater than a second time threshold T max And setting the quantity of the sand in the grid to be 3, and converting the corresponding electromagnetic agent from the reconnaissance correction state to the target search state. The above treatment can make the regression effect mechanism more obvious.
The principle of applying the fade mechanism in this embodiment is: in an actual scene, when the target continuously appears for a period of time and then disappears, the electromagnetic intelligent state of the adjacent area can be kept in a stable state, namely, the state of the intelligent body is kept unchanged due to no energy injection, and due to the characteristics, the realization of a fading mechanism can ensure the sufficiency of reconnaissance resources.
In this embodiment, by executing steps S1 to S5, a reconnaissance scene emerges: by combining an actual electronic reconnaissance scene, after a certain electromagnetic agent reconnaissance target, the reconnaissance pheromone is spread by collapse of sand piles in grids corresponding to the electromagnetic agent based on an evolution rule of a sand pile model, the reconnaissance credibility of the electromagnetic agent on a target radiation source, namely the confidence coefficient, is correspondingly increased every time the pheromone is transmitted, meanwhile, the frequency measurement and direction measurement information in the pheromone are weighted until the pheromone of the target radiation source exceeds a certain threshold value, and then the pheromone is uploaded as a reconnaissance result, and due to the increase of the confidence coefficient, the obtained reconnaissance information is more accurate.
The scale of avalanche occurring when steps S1-S5 are executed and the number of corresponding events can be counted by using the power law distribution characteristic as the evidence of self-organizing criticality, specifically, the number of times of collapse caused by adding one sand each time is counted as one event, the event scale is used as an abscissa, the number of times of event occurrence is used as an ordinate, and the result is approximated to a straight line as shown in fig. 3 in a log-log coordinate system, i.e., the result of the electronic reconnaissance method based on the sand heap model in the present embodiment is verified to be in accordance with the power law distribution.
In this embodiment, the electronic reconnaissance system based on the sand heap model may be used to execute the electronic reconnaissance method based on the sand heap model, and the electronic reconnaissance system based on the sand heap model includes a first module, a second module, a third module, a fourth module and a fifth module, where the first module is used to execute step S1, the second module is used to execute step S2, the third module is used to execute step S3, the fourth module is used to execute step S4, and the fifth module is used to execute step S5. In this embodiment, the first module, the second module, the third module, the fourth module and the fifth module may be hardware modules, software modules or a combination of hardware and software having corresponding functions.
It should be noted that, unless otherwise specified, when a feature is referred to as being "fixed" or "connected" to another feature, it may be directly fixed or connected to the other feature or indirectly fixed or connected to the other feature. Furthermore, the descriptions of upper, lower, left, right, etc. used in the present disclosure are only relative to the mutual positional relationship of the constituent parts of the present disclosure in the drawings. As used in this disclosure, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. In addition, unless defined otherwise, all technical and scientific terms used in this example have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in the description of the embodiments herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this embodiment, the term "and/or" includes any combination of one or more of the associated listed items.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one type of element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present disclosure. The use of any and all examples, or exemplary language ("e.g.," such as "etc.), provided with the present embodiment is intended merely to better illuminate embodiments of the invention and does not pose a limitation on the scope of the invention unless otherwise claimed.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, operations of processes described in this embodiment can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described in this embodiment (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be implemented in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated onto a computing platform, such as a hard disk, optically read and/or write storage media, RAM, ROM, etc., so that it is readable by a programmable computer, which when read by the computer can be used to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described in this embodiment includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein.
A computer program can be applied to input data to perform the functions described in the present embodiment to convert the input data to generate output data that is stored to a non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.
Claims (8)
1. The electronic reconnaissance method based on the sand heap model is characterized by comprising the following steps of:
establishing a sand pile model; each grid in the sand heap model corresponds to one electromagnetic intelligent body respectively, and the relative position relationship among the grids is determined by the neighborhood relationship of each corresponding electromagnetic intelligent body;
when any one electromagnetic agent detects the target radiation source, the electromagnetic agent which detects the target radiation source obtains the pheromone of the target radiation source and triggers the evolution process of the sand heap model; in the evolution process, sand is placed on the grids corresponding to the electromagnetic intelligent agents for detecting the target radiation sources, and the frequency of placing the sand is determined by the occurrence time of the target radiation sources;
when sand collapse occurs in the evolution process, determining the diffusion direction of the pheromone according to the collapse direction of the sand;
performing a diffusion process; in the diffusion process, each electromagnetic agent obtains a weighted sum value of the pheromone, and diffuses the weighted sum value in the diffusion direction; the weighted summation value of the electromagnetic intelligent body is the weighted summation result of the pheromone detected by the electromagnetic intelligent body at the current moment, the pheromone detected by the electromagnetic intelligent body at the previous moment and the received diffused pheromone;
and when the weighted sum of any one of the electromagnetic agents reaches a threshold value, the electromagnetic agent reports the weighted sum as a reconnaissance result.
2. The sand heap model-based electronic reconnaissance method of claim 1, wherein the number of times sand is placed is determined by the appearance time of the target radiation source, and comprises:
when the occurrence time of the target radiation source is not more than a first time critical value, the frequency of placing sand is zero;
when the occurrence time of the target radiation source is greater than the first time critical value, the number of sand placements is proportional to the occurrence time of the target radiation source.
3. The sand heap model-based electronic reconnaissance method according to claim 1, wherein the sand heap model-based electronic reconnaissance method further comprises:
and after the electromagnetic agent reports the weighted sum value, the detected and received pheromone of the target radiation source is cleared.
4. The sand heap model-based electronic reconnaissance method according to claim 1, wherein the sand heap model-based electronic reconnaissance method further comprises:
in the diffusion process, when the working duration corresponding to the grid is longer than a second time critical value, setting the quantity of sand in the grid to be 3; the operational duration is a duration in which the amount of sand in the grid is greater than or equal to 4 and the amount of sand remains constant.
5. Electronic reconnaissance system based on sand heap model, use a plurality of electromagnetic intelligent agent to reconnaissance the target radiation source, characterized in that, electronic reconnaissance system based on sand heap model includes:
the first module is used for establishing a sand pile model; each grid in the sand heap model corresponds to one electromagnetic intelligent body respectively, and the relative position relationship among the grids is determined by the neighborhood relationship of each corresponding electromagnetic intelligent body;
the second module is used for acquiring pheromones of the target radiation sources and triggering the evolution process of the sand pile model when any electromagnetic agent scouts the target radiation sources and the electromagnetic agent scouting the target radiation sources; in the evolution process, sand is placed on the grids corresponding to the electromagnetic intelligent agents for detecting the target radiation sources, and the frequency of placing the sand is determined by the occurrence time of the target radiation sources;
the third module is used for determining the diffusion direction of the pheromone according to the sand collapse direction when sand collapse occurs in the evolution process;
a fourth module for performing a diffusion process; in the diffusion process, each electromagnetic agent obtains a weighted sum value of the pheromone, and diffuses the weighted sum value in the diffusion direction; the weighted summation value of the electromagnetic intelligent body is the weighted summation result of the pheromone detected by the electromagnetic intelligent body at the current moment, the pheromone detected by the electromagnetic intelligent body at the previous moment and the received diffused pheromone;
and the fifth module is used for reporting the weighted summation value as a reconnaissance result by the electromagnetic agent when the weighted summation value of any one electromagnetic agent reaches a threshold value.
6. The sand heap model-based electronic reconnaissance system of claim 5 wherein the number of times sand is placed is determined by the time of occurrence of the target radiation source, and comprises:
when the appearance time of the target radiation source is not more than a first time critical value, the frequency of placing sand is zero;
when the appearance time of the target radiation source is larger than the first time critical value, the number of the sand placing times is in direct proportion to the appearance time of the target radiation source.
7. The sand heap model-based electronic reconnaissance system of claim 5, wherein the fifth module is further configured to:
and after the electromagnetic agent reports the weighted sum value, the detected and received pheromone of the target radiation source is cleared.
8. The sand heap model-based electronic reconnaissance system of claim 7, wherein the fourth module is further configured to:
in the diffusion process, when the working duration corresponding to the grid is longer than a second time critical value, setting the quantity of sand in the grid to be 3; the operational duration is a duration in which the amount of sand in the grid is greater than or equal to 4 and the amount of sand remains constant.
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