CN107330589A - Satellite network coordinates the quantitative evaluation method and system of risk - Google Patents

Abstract

The present invention provides the quantitative evaluation method and system that satellite network coordinates risk, wherein, method includes：Receive the frequency rail evaluation requirement generation risk assessment task of user's input；Obtain the satellite application environment prestored in database and satellite network coordinates the basic data of environment；According to frequency rail evaluation requirement to basic data prescreening with obtain participate in assess basic data；Receive the perfect participation assessment basic data of external data that user inputs according to electromagnetic compatible environment；Receive the evaluation index system of user's input configuration；The basic data assessed according to the evaluation index system after improving with participation, is built flexible assessment models, is estimated with the flexible evaluation index system of dynamic configuration, integrates the assessed value of every evaluation index, and calculating obtains net assessment result.The present invention can coordinate risk to satellite network and carry out quantitative evaluation, obtain competitive frequency rail scheme, improve the efficiency that satellite network frequency rail is declared and coordinated.

Description

Quantitative assessment method and system for satellite network coordination risk

technical field

The invention relates to the technical field of computer processing, in particular to a quantitative evaluation method and system for satellite network coordination risks.

Background technique

Satellite frequency and orbit resources are limited natural resources indispensable to the operation of space services. They are shared by all human beings and are used by all countries in the world. They are highly exclusive. The International Telecommunication Union stipulates that the use of frequency track resources by all countries in the world must go through the international declaration and coordination procedures, and follow the allocation principle of "first declaration, first use". The right to use satellite frequency orbit resources must be obtained before launch, otherwise there will be a passive situation of blind satellite access and no frequency available.

At present, domestic satellite network coordination experts generally follow the frequency track selection process, adopt serial processing methods, and rely on expert experience to conduct qualitative evaluation before carrying out satellite network international declaration and coordination work. The popularization, application, inheritance and development of frequency track evaluation technology. Through public literature search, there is no method and system for quantitative assessment of satellite network coordination risk in China.

In view of this, how to quantitatively evaluate the satellite network coordination risk to obtain a competitive frequency orbit solution and improve the efficiency of satellite network frequency orbit declaration and coordination has become a technical problem that needs to be solved at present.

Contents of the invention

In order to solve the above-mentioned technical problems, the present invention provides a quantitative evaluation method and system for satellite network coordination risk, which can quantitatively evaluate satellite network coordination risk to obtain a competitive frequency orbit solution and improve satellite network frequency orbit. Efficiency in reporting and coordination.

In the first aspect, the present invention provides a quantitative assessment method for satellite network coordination risk, including:

Receive the frequency orbit assessment requirements input by the user, and generate a risk assessment task, and the risk assessment task includes: multiple groups of satellite network frequency orbit schemes;

Obtain the basic data pre-stored in the database, the basic data includes: satellite application environment data and satellite network coordination environment data;

According to the frequency track evaluation requirements, pre-screen the obtained basic data to obtain the basic data participating in the evaluation;

Receive external data input by the user according to the electromagnetic compatibility environment, so as to improve the basic data involved in the evaluation;

Receive user input configuration evaluation index system;

According to the improved basic data participating in the evaluation and the evaluation index system, build a flexible evaluation model, calculate and evaluate each evaluation index with the dynamically configured flexible evaluation index system, obtain the evaluation value of each evaluation index and perform a comprehensive calculation , and then get the overall evaluation result.

Optionally, the parameters of the frequency track evaluation requirements include: primary orbit location, allowable arc range, adjustment step size, coordination arc, orbit correction error, frequency band type, allowable frequency band range, occupied bandwidth/preliminary selection Frequency, link direction, polarization type, coverage area;

and / or,

The parameters of the satellite application environment data include: satellite name, country attribute, current orbit position, current orbit position entry time, frequency band type, link direction, frequency lower limit, frequency upper limit, polarization type, measured signal, coverage area , Satellite purpose, traditional orbit position, launch time, design life;

and / or,

The parameters of the satellite network coordination environment data include: satellite network name, country attribute, orbit position, coordination status, whether to put into use, frequency band type, link direction, frequency lower limit, frequency upper limit, coverage area, and earth station antenna minimum gain , polarization type, whether the beam is adjustable, network usage, on-orbit satellite correspondence, follow-up satellite plan.

Optionally, after obtaining the overall evaluation result, the method further includes:

According to the overall evaluation result, a reverse search is performed for the sensitive factors affecting the evaluation result of the index, and the evaluation value and basic data of the evaluation index corresponding to the sensitive factor are obtained.

Optionally, the flexible evaluation model is constructed based on the improved basic data participating in the evaluation and the evaluation index system, and the evaluation indexes are calculated and evaluated with the dynamically configured flexible evaluation index system, and the values of each evaluation index are obtained. Evaluation values and comprehensive calculations to obtain overall evaluation results, including:

According to the improved basic data for participating in the evaluation and the evaluation index system, a flexible evaluation model is constructed, and the dynamically configured flexible evaluation index system is used to calculate and evaluate various evaluation indexes except the evaluation indexes related to electromagnetic compatibility, and obtain all The evaluation values of the above evaluation indicators are calculated and comprehensively calculated, and then the first evaluation results are obtained;

If the selection instruction for the second evaluation input by the user is received, according to the result of the first evaluation, determine the basic data that participates in the second evaluation in the improved basic data, and based on the basic data that participates in the second evaluation , using a dynamically configured flexible evaluation index system to calculate and evaluate all evaluation indexes including electromagnetic compatibility-related evaluation indexes, obtain the evaluation values of all the evaluation indexes and perform comprehensive calculations, and then obtain the overall evaluation results.

Optionally, the flexible evaluation model is constructed according to the improved basic data participating in the evaluation and the evaluation index system, and the evaluation indexes other than the evaluation indexes related to electromagnetic compatibility are evaluated with the dynamically configured flexible evaluation index system Carry out calculation and evaluation to obtain the evaluation values of the various evaluation indicators mentioned above, including:

Traverse all the nodes of the evaluation index system, and describe the evaluation index system using XML; if it is the first evaluation, use the XML description to dynamically construct the flexible evaluation index system, and dynamically configure the EMC-related parameters in the flexible evaluation index system. The evaluation indicators of the flexible evaluation index system will not participate in the evaluation, except for the evaluation indicators related to electromagnetic compatibility in the flexible evaluation index system.

According to the improved basic data participating in the evaluation and the flexible evaluation index system after this dynamic configuration, using the evaluation method operator in the pre-established evaluation method flexible model database, combined with the weight ratio of the basic data participating in the evaluation this time, Calculate the evaluation value of each leaf node evaluation index in the flexible evaluation index system participating in the evaluation this time, and then use the evaluation value of each sub-node evaluation index in the flexible evaluation index system participating in the evaluation this time, combined with this The weight ratio of each evaluation index participating in the evaluation this time is calculated to obtain the evaluation value of each parent node index item in the flexible evaluation index system participating in the evaluation this time;

Correspondingly, if the selection instruction for the second evaluation input by the user is received, according to the result of the first evaluation, determine the basic data that participates in the second evaluation in the improved basic data, and based on the participation in the second evaluation Based on the basic data of this evaluation, all evaluation indicators including electromagnetic compatibility-related evaluation indicators are calculated and evaluated with a dynamically configured flexible evaluation index system, and the evaluation values of all evaluation indicators mentioned above are obtained, including:

If the selection instruction for the secondary evaluation input by the user is received, it is determined as the secondary evaluation, and all the evaluation indicators in the flexible evaluation index system including the evaluation indicators related to electromagnetic compatibility are dynamically configured to participate in the evaluation;

According to the results of the first evaluation, determine the basic data to participate in the second evaluation in the improved basic data;

According to the basic data participating in the second evaluation and the flexible evaluation index system after this dynamic configuration, use the evaluation method operator in the evaluation method flexible model database established in advance, combined with the weight ratio of the basic data participating in the evaluation this time , calculate the evaluation value of each leaf node evaluation index in the flexible evaluation index system participating in the evaluation this time, and then use the evaluation value of each sub-node evaluation index in the flexible evaluation index system participating in the evaluation this time, combined with The weight ratio of each evaluation index participating in the evaluation is calculated to obtain the evaluation value of each parent node evaluation index in the flexible evaluation index system participating in the evaluation this time.

Optionally, according to the improved basic data of participating evaluation and the flexible evaluation index system after this dynamic configuration, the evaluation method operator in the pre-established evaluation method flexible model database is used, combined with the evaluation method operator of this participating evaluation Before the weight ratio of the basic data is calculated to obtain the evaluation value of each leaf node evaluation index in the flexible evaluation index system participating in the evaluation, the method also includes:

A flexible model database for evaluation methods is established, and different preset evaluation value calculation methods are respectively encapsulated into a dynamic link library, which are respectively used as evaluation method operators in the flexible model database for evaluation methods.

Optionally, the evaluation method operator in the pre-established evaluation method flexible model database is used, combined with the weight ratio of the basic data participating in the evaluation this time, to calculate and obtain each of the flexible evaluation index systems participating in the evaluation this time. The evaluation value of the evaluation index of the item leaf node, and then use the evaluation value of each sub-node evaluation index in the flexible evaluation index system participating in the evaluation this time, combined with the weight ratio of each evaluation index participating in the evaluation this time, to calculate The evaluation values of each parent node evaluation index in the flexible evaluation index system participating in the evaluation include:

For each leaf node evaluation index that contributes the same to the evaluation value of the index in the flexible evaluation index system:

According to the basic data participating in the evaluation, use the first formula to calculate the evaluation value of each leaf node evaluation index;

Wherein, the first formula is:

a _{i, j} represents the jth leaf node of the i-th layer in the flexible evaluation index system, is the evaluation value of the leaf node a _i,j evaluation index, m is the number of basic data pieces participating in the evaluation of leaf node a _i,j , s is the number of all basic data pieces, v _l is the evaluation process of leaf node a _i,j The evaluation value of the basic data in Article 1;

For each leaf node evaluation index in the flexible evaluation index system that contributes differently to the evaluation value of the index:

According to the basic data participating in the evaluation, use the second formula to calculate the evaluation value of each leaf node evaluation index;

Wherein, the second formula is:

a _{i, j} represents the jth leaf node of the i-th layer in the flexible evaluation index system, is the evaluation value of the leaf node a _i,j evaluation index, m is the number of basic data pieces participating in the evaluation of leaf node a _i,j , s is the number of all basic data pieces, v _l is the evaluation process of leaf node a _i,j The evaluation value of the l-th piece of basic data, w _l is the weight ratio of the l-th piece of basic data participating in the evaluation of the leaf node a _i,j ;

For each non-leaf node evaluation index in the flexible evaluation index system:

According to the importance of the sub-node evaluation index of each non-leaf node evaluation index relative to the non-leaf node evaluation index, construct a pairwise comparison matrix of all evaluation indexes participating in the evaluation of the non-leaf node evaluation index; Comparing the matrix, using the AHP to calculate the weight of the sub-node evaluation index of the non-leaf node evaluation index;

For each leaf node evaluation index in the flexible evaluation index system:

According to the basic data participating in the evaluation, use the third formula to calculate the evaluation value of each leaf node evaluation index;

Wherein, the third formula is:

a _{i, j} represents the jth leaf node of the i-th layer in the flexible evaluation index system, is the evaluation value of the leaf node a _{i, j} evaluation index; D _input is the frequency track scheme in the generated risk assessment task; D is the multiple sets of basic data involved in the evaluation of the leaf node a _{i, j} evaluation index, which is an s×1 matrix ; f( ) is the evaluation value calculation method pre-specified according to the value type of the evaluation index encapsulated in the operator in the flexible model database of the pre-established evaluation method, and each leaf is obtained by comparing D and D _input calculations The index item value of the node evaluation index, and then normalize the index item value to obtain the evaluation value of each leaf node evaluation index;

For each non-leaf node evaluation index in the flexible evaluation index system:

According to the basic data participating in the evaluation, use the fourth formula, recursively from bottom to top, and calculate the evaluation value of each non-leaf node evaluation index as the root node;

Wherein, the fourth formula is:

a _{i, j} represents the jth non-leaf node in the i-th layer in the flexible evaluation index system, is the evaluation value of the non-leaf node a _i,j evaluation index; a _i+1,k is the child node of the non-leaf node a i, _j , k is the number of the child node participating in the evaluation of the non-leaf node a _i,j , k =1,...,n, n is the number of sub-nodes participating in the evaluation of non-leaf nodes a _i,j , N is the number of sub-nodes of non-leaf nodes a _i,j ; is the evaluation value of child node a _i+1,k of non-leaf node a _i,j ; is the weight ratio of child nodes a _i+1,k of non-leaf node a _i,j ; is a one-vote veto multiplicative factor, when the child node a _{i+1, k} satisfies the one-vote veto condition, is 0, otherwise is 1.

In the second aspect, the present invention provides a quantitative evaluation system for satellite network coordination risk, including:

The input module is used to receive the frequency orbit assessment requirements input by the user, and generate a risk assessment task, and the risk assessment task includes: multiple groups of satellite network frequency orbit schemes;

The data acquisition module is used to acquire the pre-stored basic data in the database, pre-screen the acquired basic data according to the frequency track evaluation requirements, and obtain the basic data participating in the evaluation. The basic data includes: satellite application environment data and Satellite networks to coordinate environmental data;

The input module is also used to receive external data input by the user according to the electromagnetic compatibility environment, so as to improve the basic data participating in the evaluation, and receive the evaluation index system input by the user;

The evaluation module is used to construct a flexible evaluation model based on the improved basic data participating in the evaluation and the evaluation index system, calculate and evaluate each evaluation index with the dynamically configured flexible evaluation index system, and obtain the evaluation of each evaluation index value and perform comprehensive calculations to obtain the overall evaluation result.

Optionally, the system also includes:

The reverse search module is configured to reversely search for sensitive factors that affect the evaluation results of the indicators according to the overall evaluation results, and obtain the evaluation values and basic data of the evaluation indicators corresponding to the sensitive factors.

Optionally, the evaluation module is specifically used for

According to the improved basic data for participating in the evaluation and the evaluation index system, a flexible evaluation model is constructed, and the dynamically configured flexible evaluation index system is used to calculate and evaluate various evaluation indexes except the evaluation indexes related to electromagnetic compatibility, and obtain all The evaluation values of the above evaluation indicators are calculated and comprehensively calculated, and then the first evaluation results are obtained;

If the selection instruction for the second evaluation input by the user is received, according to the result of the first evaluation, determine the basic data that participates in the second evaluation in the improved basic data, and based on the basic data that participates in the second evaluation , using a dynamically configured flexible evaluation index system to calculate and evaluate all evaluation indexes including electromagnetic compatibility-related evaluation indexes, obtain the evaluation values of all the evaluation indexes and perform comprehensive calculations, and then obtain the overall evaluation results.

It can be seen from the above technical solution that the quantitative assessment method and system for satellite network coordination risk of the present invention generate a risk assessment task by receiving the frequency orbit assessment demand input by the user; obtain the satellite application environment and satellite network coordination environment pre-stored in the database Basic data; pre-screen the basic data according to the frequency track evaluation requirements to obtain the basic data for participating in the evaluation; receive the external data input by the user according to the electromagnetic compatibility environment to improve the basic data for participating in the evaluation; receive the evaluation index system configured by the user input; participate in the evaluation based on the improvement The basic data and the evaluation index system construct a flexible evaluation model, calculate and evaluate each evaluation index with the dynamically configured flexible evaluation index system, obtain the evaluation values of each evaluation index and perform comprehensive calculations, and then obtain the overall evaluation result. As a result, it is possible to quantitatively evaluate the satellite network coordination risk, obtain a competitive frequency orbit plan, and improve the efficiency of satellite network frequency orbit declaration and coordination.

Description of drawings

FIG. 1 is a schematic flow diagram of a quantitative assessment method for satellite network coordination risk provided by an embodiment of the present invention;

Fig. 2 is a schematic diagram of an evaluation index system provided by an embodiment of the present invention;

3 is a schematic diagram of building a flexibility evaluation model provided by an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of a quantitative evaluation system for satellite network coordination risk provided by an embodiment of the present invention;

FIG. 5 is a schematic diagram of a physical structure of an electronic device provided by an embodiment of the present invention.

detailed description

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

Fig. 1 shows a schematic flowchart of a quantitative assessment method for satellite network coordination risk provided by an embodiment of the present invention. As shown in Fig. 1 , the quantitative assessment method for satellite network coordination risk in this embodiment is as follows.

101. Receive a frequency orbit assessment requirement input by a user, and generate a risk assessment task, where the risk assessment task includes: multiple groups of satellite network frequency orbit schemes.

In a specific application, the parameters of the frequency track evaluation requirements may include: the initial track position (representing the user's most ideal track position), the allowable arc range, the adjustment step, the coordination arc, the track correction error, the frequency band Parameters such as type, allowable frequency band range, occupied bandwidth/preliminary frequency selection, link direction, polarization type, and coverage area are the drivers of the entire risk assessment task. This embodiment does not limit it, and may also include other parameters required for frequency track evaluation.

In a specific application, the parameters of the above frequency track evaluation requirements can be described by a feature parameter set {D _{input, item} }, where input represents the input frequency track evaluation requirements, and item represents the names of different parameters of the frequency track evaluation requirements.

It can be understood that, for the convenience of comparison, the step 101 can automatically generate multiple groups of satellite network frequency orbit schemes to participate in the subsequent risk assessment according to the initially selected orbit position, combined with the allowable arc range and the adjustment step size.

102. Acquire basic data pre-stored in the database, where the basic data includes: satellite application environment data D _sat and satellite network coordination environment data D _satnet .

It is understandable that the pre-stored basic data in the acquired database can be used as data support for evaluation.

In a specific application, the parameters of the satellite application environment data may include: satellite name, country attribute, current orbit position, current orbit position entry time, frequency band type, link direction, frequency lower limit, frequency upper limit, polarization type , Measured signal, coverage area, satellite usage, traditional orbit position, launch time, design life and other parameters. This embodiment does not limit it, and may also include parameters of other satellite application environment data.

In a specific application, the parameters of the above-mentioned satellite application environment data can be described by a set of characteristic parameters {D _{sat, item} }, sat represents the satellite application environment, and item represents the names of different parameters of the satellite application environment.

In a specific application, the parameters of the satellite network coordination environment data may include: satellite network name, country attribute, orbital position, coordination status, whether it is put into use, frequency band type, link direction, lower frequency limit, upper frequency limit, coverage area , Earth station antenna minimum gain, polarization type, whether the beam is adjustable, network usage, in-orbit satellite correspondence, follow-up satellite plan and other parameters. This embodiment does not limit it, and may also include parameters of other satellite network coordination environment data.

In a specific application, the parameters of the above-mentioned satellite network coordination environment data can be described by a feature parameter set {D _{satnet, item} }, satnet represents the satellite network coordination environment, and item represents the names of different parameters of the satellite network coordination environment.

It should be noted that the satellite application environment data can come from the long-term accumulation of satellite network coordination experts, and can be pre-stored in the Excel data table of the database. Satellite network coordination environment data can be obtained from the ITU-BR SRS database.

103. According to the frequency track evaluation requirements, perform pre-screening on the obtained basic data, and obtain the basic data participating in the evaluation.

In a specific application, the step 103 creates an assessment database according to the frequency orbit assessment requirement/risk assessment task, and screens qualified data from the SRS database and the pre-stored Excel data sheet that store the satellite network coordination environment data in advance, Writing to the evaluation database solves the problem of inconsistent user data format. The content in the assessment database is dynamically determined according to the frequency track assessment requirement/risk assessment task input by the user.

104. Receive external data input by the user according to the electromagnetic compatibility environment, so as to improve the basic data involved in the evaluation.

It can be understood that the external data input by the user according to the electromagnetic compatibility environment can be empirical data, which can make the evaluation more expert.

105. Receive user input to configure an evaluation index system.

It is understandable that in the traditional satellite frequency orbit selection process, there is a strong logical connection among the four links of domestic in-orbit satellite analysis, domestic satellite network analysis, foreign in-orbit satellite analysis, and foreign satellite network analysis. It is carried out serially, and the evaluation objects gradually converge, but it lacks the whole-process evaluation of each evaluation object and the overall comparison of multiple evaluation objects, so it is not suitable for quantitative evaluation. In this embodiment, on the basis of the traditional frequency-orbit selection process, the serial logical association between domestic on-orbit satellite analysis, domestic satellite network analysis, foreign in-orbit satellite analysis, and foreign satellite network analysis is eliminated. In-orbit satellite analysis is merged, domestic and foreign satellite network analysis is merged, and nationality attributes are added to distinguish, forming a set of coordination risk elements around the two main lines of satellite application environment and satellite network coordination environment; layer by layer according to the influencing factors of each element Decomposition, taking into account the uncertainty of information, taking into account the elements of expert experience, until all risk elements are decomposed into evaluation indicators directly related to the basic data, for example, as shown in Figure 2, forming "two main lines, five levels" It should be noted that the evaluation index system also includes multiple pre-set evaluation indicators for the electromagnetic compatibility environment.

It can be understood that the satellite network coordination risk is _closely related to the current satellite application environment and satellite network coordination environment. The characteristic parameters {D _{sat, item} } and {D _{satnet, item} } are related. Before the evaluation, when users only care about some indicators in the indicator system, they can flexibly configure the indicator items participating in the evaluation and modify the weight ratio of the indicators.

106. Construct a flexible evaluation model based on the improved basic data participating in the evaluation and the evaluation index system, calculate and evaluate each evaluation index with the dynamically configured flexible evaluation index system, obtain the evaluation values of each evaluation index, and perform Comprehensive calculation, and then get the overall evaluation results.

In a specific application, the step 106 may include steps 106a and 106b not shown in the figure:

106a. Construct a flexible evaluation model (refer to FIG. 3 ) according to the improved basic data participating in the evaluation and the evaluation index system, and use the dynamically configured flexible evaluation index system to evaluate all items except the evaluation indexes related to electromagnetic compatibility. The evaluation index is calculated and evaluated, the evaluation value of each evaluation index is obtained and comprehensively calculated, and then the first evaluation result is obtained.

106b. If the selection instruction for the second evaluation input by the user is received, according to the result of the first evaluation, determine the basic data that participates in the second evaluation in the improved basic data, and based on the data that participates in the second evaluation Basic data, calculate and evaluate all evaluation indicators including electromagnetic compatibility related evaluation indicators with a dynamically configured flexible evaluation index system, obtain the evaluation values of all evaluation indicators and perform comprehensive calculations, and then obtain the overall evaluation results.

It can be understood that, in this embodiment, the frequency track selection can be divided into: the first evaluation (ie, the step 106 a ) and the second evaluation (ie, the step 106 b ). The first evaluation is the evaluation of all evaluation indicators in the evaluation index system except for the evaluation indicators related to electromagnetic compatibility; the second evaluation is to participate in the second evaluation in the improved basic data based on the results of the first evaluation basic data (for example, you can receive instructions input by the user according to the results of the first evaluation to determine the basic data that participates in the second evaluation in the improved basic data), combined with the electromagnetic compatibility data, including electromagnetic compatibility-related All evaluation metrics are evaluated. Since electromagnetic compatibility data cannot be maintained as a basic database for a long time like satellite application environmental data and satellite network coordination environmental data, it is necessary to provide electromagnetic compatibility data for the corresponding orbital position according to the orbital position information involved in each assessment task. Therefore, these two assessments The significance of is mainly to reduce the calculation amount of electromagnetic compatibility analysis. That is to say, the first assessment does not involve EMC analysis due to the large amount of data, and the second assessment has preliminary analysis results, which can narrow the scope of EMC analysis based on the preliminary analysis results. The basic data of the two assessments are different .

Further, the step 106a may include:

For each node (evaluation index), it contains a plurality of attributes, such as the level, parent node, child node and other information, traverse all nodes of the evaluation index system, and describe the evaluation index system using XML, Directly obtain a flexible evaluation index system with a hierarchical relationship; if it is the first evaluation, use XML to describe the dynamic construction of the flexible evaluation index system, and dynamically configure the electromagnetic compatibility-related evaluation indicators in the flexible evaluation index system not to participate in the evaluation (for example , the values of all the evaluation indexes related to electromagnetic compatibility can be set to 0 to dynamically configure the evaluation indexes related to electromagnetic compatibility in the flexible evaluation index system not to participate in the evaluation), except for the electromagnetic compatibility in the flexible evaluation index system Evaluation indicators other than the relevant evaluation indicators are involved in the evaluation;

According to the improved basic data participating in the evaluation and the flexible evaluation index system after this dynamic configuration, using the evaluation method operator in the pre-established evaluation method flexible model database, combined with the weight ratio of the basic data participating in the evaluation this time, Calculate the evaluation value of each leaf node evaluation index in the flexible evaluation index system participating in the evaluation this time, and then use the evaluation value of each sub-node evaluation index in the flexible evaluation index system participating in the evaluation this time, combined with this The weight ratio of each evaluation index participating in the evaluation this time is calculated to obtain the evaluation value of each parent node index item in the flexible evaluation index system participating in the evaluation this time;

Correspondingly, the step 106b may include:

If the selection instruction for the secondary evaluation input by the user is received, it is determined as the secondary evaluation, and all the evaluation indicators in the flexible evaluation index system including the evaluation indicators related to electromagnetic compatibility are dynamically configured to participate in the evaluation;

According to the results of the first evaluation, determine the basic data to participate in the second evaluation in the improved basic data;

According to the basic data participating in the second evaluation and the flexible evaluation index system after this dynamic configuration, use the evaluation method operator in the evaluation method flexible model database established in advance, combined with the weight ratio of the basic data participating in the evaluation this time , calculate the evaluation value of each leaf node evaluation index in the flexible evaluation index system participating in the evaluation this time, and then use the evaluation value of each sub-node evaluation index in the flexible evaluation index system participating in the evaluation this time, combined with The weight ratio of each evaluation index participating in the evaluation is calculated to obtain the evaluation value of each parent node evaluation index in the flexible evaluation index system participating in the evaluation this time.

It can be understood that, in this embodiment, the data with a better evaluation result in the first evaluation result among the improved basic data can be used as the basic data for participating in the second evaluation, and all related evaluation indicators can be evaluated. That is, electromagnetic compatibility analysis is performed.

It can be understood that the weight ratio in this embodiment refers to the relatively important assignment of evaluation indicators, and this embodiment can directly use the weight ratio for calculation, without limiting the sum of each weight ratio to be equal to 1.

In the specific application, according to the improved basic data of participating evaluation and the flexible evaluation index system after this dynamic configuration, the evaluation method operator in the pre-established evaluation method flexible model database is used in combination with this participating evaluation Before the weight ratio of the basic data is calculated and the evaluation value of each leaf node evaluation index in the flexible evaluation index system participating in the evaluation is calculated, the method described in this embodiment may also include:

A flexible model database for evaluation methods is established, and different preset evaluation value calculation methods are respectively encapsulated into a dynamic link library, which are respectively used as evaluation method operators in the flexible model database for evaluation methods.

It can be understood that operators are application components that encapsulate certain operations, and operators interact through data interfaces, and their interaction relationships include inclusion relationships and timing relationships. In this embodiment, different preset evaluation methods can be packaged into a dynamic link library to become evaluation method operators one by one, and the input and output of the evaluation method operators can be defined, and a structured language (XML) is used to describe the evaluation index system The index system described by the form of flexibility is variable, expandable and flexible. Encapsulate different evaluation methods into dynamic link libraries and coordinate with flexible evaluation index system, and finally get the evaluation structure from bottom to top. With this model structure, a flexible software system and a flexible evaluation model are formed.

It is understandable that different indicators represent different physical meanings, and the method from qualitative to quantitative must not be unique. There are 26 leaf indicators in the indicator system in Figure 2. Among them, the value is linear and can be quantitatively calculated indicators such as orbital interval, spectrum overlap ratio, etc.; the value is segmented, which cannot be quantitatively calculated, and the qualitative description is converted into a quantitative expression, such as the current orbital position Status, etc., which are binary indicators of "yes" or "no" by comparison. In order to perform quantitative evaluation accurately, evaluation value calculation methods of evaluation indicators can be pre-specified according to different types.

Further, in the above step 106a or 106b, each leaf node evaluation index that has the same contribution to the index evaluation value in the flexible evaluation index system can be:

According to the basic data participating in the evaluation, use the first formula to calculate the evaluation value of each leaf node evaluation index;

Wherein, the first formula is:

a _{i, j} represents the jth leaf node of the i-th layer in the flexible evaluation index system, is the evaluation value of the leaf node a _i,j evaluation index, m is the number of basic data pieces participating in the evaluation of leaf node a _i,j , s is the number of all basic data pieces, v _l is the evaluation process of leaf node a _i,j Article l The evaluation value of the basic data.

Further, in the above step 106a or 106b, each leaf node evaluation index in the flexible evaluation index system that contributes differently to the evaluation value of the index can be evaluated:

According to the basic data participating in the evaluation, use the second formula to calculate the evaluation value of each leaf node evaluation index;

Wherein, the second formula is:

a _{i, j} represents the jth leaf node of the i-th layer in the flexible evaluation index system, is the evaluation value of the leaf node a _i,j evaluation index, m is the number of basic data pieces participating in the evaluation of leaf node a _i,j , s is the number of all basic data pieces, v _l is the evaluation process of leaf node a _i,j The evaluation value of the l-th piece of basic data, w _l is the weight ratio of the l-th piece of basic data participating in the evaluation of the leaf node a _i,j .

Further, in the above step 106a or 106b, each non-leaf node evaluation index in the flexible evaluation index system can be:

According to the importance of the sub-node evaluation index of each non-leaf node evaluation index relative to the non-leaf node evaluation index, construct a pairwise comparison matrix of all evaluation indexes participating in the evaluation of the non-leaf node evaluation index; The comparison matrix uses the analytic hierarchy process to calculate the weights of the sub-node evaluation indicators of the non-leaf node evaluation indicators.

It is understandable that different orbit selection tasks cannot be evaluated by a fixed set of index systems and weights due to their different task orientations. In this embodiment, the weight ratio can be dynamically configured, and the evaluation can be performed more flexibly and flexibly.

Specifically, for the frequency track scheme input by the user, the evaluation index items can be used to participate in the evaluation of the vector X _i,j ={x ₁ ,x ₁ ,LL,x _n }, x _k =1 means the non-leaf node a _i, The kth child of _j participates in the evaluation, otherwise x _k 0. The vector Y _i,j {y ₁ ,y ₁ ,LL,y _n } represents the importance value of the child nodes of the non-leaf node a _i,j relative to the node, and the importance value can be scaled from 1 to 9 For definitions, see, for example, Table 1 below.

Table 1 Importance of evaluation index items

Construct the n×n weight judgment matrix A _i,j of the non-leaf node a _i,j according to the vector Y _i ,j:

Because the child nodes of non-leaf nodes a _i,j may not participate in the evaluation, it is necessary to process A _i,j , and construct matrix B _i,j according to vector X _i ,j:

According to the matrices A _i,j and B _i,j , construct a pairwise matrix C _i,j :

C _i,j =A _i,j ×B _i,j ;

Because C _{i, j} contains elements with a value of 0, it is necessary to delete all elements with a value of 0 from C _{i, j} in the matrix, and obtain the two values of all evaluation indicators involved in evaluating the non-leaf node evaluation indicators Two comparison matrices; then use the AHP method to calculate the weight of the sub-node evaluation indicators of non-leaf node a _{i, j} evaluation indicators.

When it is necessary to dynamically change the weight assignment, it is only necessary to update the vectors Xi _,j and Y _i,j and perform calculations to obtain a new weight configuration.

Further, in the above step 106a or 106b, each leaf node evaluation index in the flexible evaluation index system can be:

According to the basic data participating in the evaluation, use the third formula to calculate the evaluation value of each leaf node evaluation index;

Wherein, the third formula is:

a _{i, j} represents the jth leaf node of the i-th layer in the flexible evaluation index system, is the evaluation value of the leaf node a _{i, j} evaluation index; D _input is the frequency track scheme in the generated risk assessment task; D is the multiple sets of basic data involved in the evaluation of the leaf node a _{i, j} evaluation index, which is an s×1 matrix ; f( ) is the evaluation value calculation method pre-specified according to the value type of the evaluation index encapsulated in the operator in the flexible model database of the pre-established evaluation method, and each leaf is obtained by comparing D and D _input calculations The index item value of the node evaluation index, and then normalize the index item value to obtain the evaluation value of each leaf node evaluation index.

Further, in the above step 106a or 106b, each non-leaf node evaluation index in the flexible evaluation index system can be:

According to the basic data participating in the evaluation, use the fourth formula, recursively from bottom to top, and calculate the evaluation value of each non-leaf node evaluation index as the root node;

Wherein, the fourth formula is:

a _{i, j} represents the jth non-leaf node in the i-th layer in the flexible evaluation index system, is the evaluation value of the non-leaf node a _i,j evaluation index; a _i+1,k is the child node of the non-leaf node a i, _j , k is the number of the child node participating in the evaluation of the non-leaf node a _i,j , k =1,...,n, n is the number of sub-nodes participating in the evaluation of non-leaf nodes a _i,j , N is the number of sub-nodes of non-leaf nodes a _i,j ; is the evaluation value of child node a _i+1,k of non-leaf node a _i,j ; is the weight ratio of child nodes a _i+1,k of non-leaf node a _i,j ; is a one-vote veto multiplicative factor, when the child node a _{i+1, k} satisfies the one-vote veto condition, is 0, otherwise is 1.

In a specific application, after the overall evaluation result is obtained in the above step 106, the method may further include:

According to the overall evaluation result, a reverse search is performed for the sensitive factors affecting the evaluation result of the index, and the evaluation value of the evaluation index corresponding to the sensitive factor and the basic data of the evaluation index corresponding to the sensitive factor are obtained.

In a specific application, after the above evaluation is completed, an evaluation report can be generated, for example, written into an Excel data sheet for users to view.

It can be understood that the assessment report is a summary document of the overall assessment, which may include the following contents: risk assessment tasks, assessment results, satellite data participating in the assessment, and satellite network data participating in the assessment. The risk assessment task is the information input by the user; the assessment result is the evaluation value obtained according to the basic data and predefined rules, which can mainly include {frequency band type, orbital position, satellite application environment, satellite network coordination environment, overall assessment result}; The satellites and satellite network data involved in the evaluation are the basic data related to the mission and are easy to query.

The quantitative assessment method of satellite network coordination risk in this embodiment can be implemented by a processor, and a risk assessment task is generated by receiving a frequency orbit assessment requirement input by a user, and the risk assessment task includes: multiple groups of satellite network frequency orbit schemes; Obtaining the basic data pre-stored in the database, the basic data including: satellite application environment data and satellite network coordination environment data; according to the frequency track assessment requirements, pre-screen the acquired basic data to obtain the basic data participating in the evaluation; receiving the external data input by the user according to the electromagnetic compatibility environment, so as to improve the basic data participating in the evaluation; receiving the evaluation index system input and configured by the user; constructing a flexible evaluation model according to the basic data participating in the evaluation and the evaluation index system, Calculate and evaluate each evaluation index with a dynamically configured flexible evaluation index system, obtain the evaluation value of each evaluation index and perform a comprehensive calculation, and then obtain the overall evaluation result. From this, it can be carried out around domestic and foreign satellites and satellite networks. Potential interference analysis and prediction, quantitative assessment of satellite network coordination risks, obtaining competitive frequency orbit solutions, effectively improving the scientificity and efficiency of satellite network frequency orbit declaration and coordination. The system described in this embodiment is suitable for coordinated risk assessment of satellite networks in geostationary orbit, but is not limited to such satellites.

The quantitative evaluation method of satellite network coordination risk in this embodiment reorganizes the existing frequency track selection process, constructs a quantitative evaluation process, optimizes the evaluation process, makes full use of the experience of experts in multiple fields, tracks the evaluation process, and improves the risk evaluation. efficiency. Under normal circumstances, the evaluation model is tightly coupled with the business model. As long as any link changes, the entire evaluation system will not be able to operate normally. However, in the process of satellite network coordination, limited by the availability of basic data, the index items participating in the evaluation are not exactly the same each time, and the evaluation algorithms are also different. In this case, it is necessary to flexibly adjust the evaluation indicators and evaluation algorithms. To solve this problem, the method described in this embodiment reduces the coupling between the evaluation model and the business model by creating a flexible evaluation model for satellite network coordination risk; the method described in this embodiment aims at the quantitative calculation of evaluation indicators, combining basic data and The correlation of evaluation indicators and the correlation between individual index evaluation and overall evaluation (such as "one-vote veto" item), a quantitative evaluation algorithm for satellite network coordination risk is proposed.

Fig. 4 shows a schematic structural diagram of a quantitative evaluation system for satellite network coordination risk provided by an embodiment of the present invention. As shown in Fig. 4, the quantitative evaluation system for satellite network coordination risk in this embodiment includes: input Module 41, data acquisition module 42 and evaluation module 43; wherein:

The input module 41 is configured to receive a frequency orbit assessment requirement input by a user, and generate a risk assessment task, and the risk assessment task includes: multiple groups of satellite network frequency orbit schemes;

The data acquisition module 42 is configured to acquire the pre-stored basic data in the database, pre-screen the acquired basic data according to the frequency track evaluation requirements, and obtain the basic data participating in the evaluation. The basic data includes: satellite application Environmental data and satellite networks to coordinate environmental data;

The input module 41 is also used to receive external data input by the user according to the electromagnetic compatibility environment, so as to improve the basic data participating in the evaluation, and receive the evaluation index system input by the user;

The evaluation module 43 is used to construct a flexible evaluation model based on the improved basic data for participating in the evaluation and the evaluation index system, and calculate and evaluate each evaluation index with the dynamically configured flexible evaluation index system to obtain each evaluation index. The evaluation value of the indicator is calculated comprehensively, and then the overall evaluation result is obtained.

In a specific application, the parameters of the frequency track evaluation requirements may include: the initial track position (representing the user's most ideal track position), the allowable arc range, the adjustment step, the coordination arc, the track correction error, the frequency band Parameters such as type, allowable frequency band range, occupied bandwidth/preliminary frequency selection, link direction, polarization type, and coverage area are the drivers of the entire risk assessment task. This embodiment does not limit it, and may also include other parameters required for frequency track evaluation.

In a specific application, the parameters of the satellite application environment data may include: satellite name, country attribute, current orbit position, current orbit position entry time, frequency band type, link direction, frequency lower limit, frequency upper limit, polarization type , Measured signal, coverage area, satellite usage, traditional orbit position, launch time, design life and other parameters. This embodiment does not limit it, and may also include parameters of other satellite application environment data.

In a specific application, the parameters of the satellite network coordination environment data may include: satellite network name, country attribute, orbital position, coordination status, whether it is put into use, frequency band type, link direction, lower frequency limit, upper frequency limit, coverage area , Earth station antenna minimum gain, polarization type, whether the beam is adjustable, network usage, in-orbit satellite correspondence, follow-up satellite plan and other parameters. This embodiment does not limit it, and may also include parameters of other satellite network coordination environment data.

In a specific application, the evaluation module 43 can be specifically used for

According to the improved basic data for participating in the evaluation and the evaluation index system, a flexible evaluation model is constructed, and the dynamically configured flexible evaluation index system is used to calculate and evaluate various evaluation indexes except the evaluation indexes related to electromagnetic compatibility, and obtain all The evaluation values of the above evaluation indicators are calculated and comprehensively calculated, and then the first evaluation results are obtained;

If the selection instruction for the second evaluation input by the user is received, according to the result of the first evaluation, determine the basic data that participates in the second evaluation in the improved basic data, and based on the basic data that participates in the second evaluation , using a dynamically configured flexible evaluation index system to calculate and evaluate all evaluation indexes including electromagnetic compatibility-related evaluation indexes, obtain the evaluation values of all the evaluation indexes and perform comprehensive calculations, and then obtain the overall evaluation results.

In a specific application, the system described in this embodiment may also include not shown in the figure:

The reverse search module is configured to reversely search for sensitive factors that affect the evaluation results of the indicators according to the overall evaluation results, and obtain the evaluation values and basic data of the evaluation indicators corresponding to the sensitive factors.

In a specific application, the system described in this embodiment may also include not shown in the figure:

The output module can be used to output the basic data involved in the evaluation, output the process data of the evaluation, output the evaluation log, output the overall evaluation result, output the evaluation value of the evaluation index corresponding to the sensitive factor and the basic data involved in the evaluation on which the evaluation index is based.

The output module can output an assessment report, such as a Word file, for users to view.

It can be understood that the assessment report is a summary document of the overall assessment, which may include the following contents: risk assessment tasks, assessment results, satellite data participating in the assessment, and satellite network data participating in the assessment. The risk assessment task is the information input by the user; the assessment result is the evaluation value obtained according to the basic data and predefined rules, which can mainly include {frequency band type, orbital position, satellite application environment, satellite network coordination environment, overall assessment result}; The satellites and satellite network data involved in the evaluation are the basic data related to the mission and are easy to query.

The quantitative assessment system for satellite network coordination risk in this embodiment can be used to implement the technical solution of the above method embodiment, and its implementation principle and technical effect are similar, and will not be repeated here.

The quantitative evaluation system of satellite network coordination risk in this embodiment can conduct potential interference analysis and prediction around domestic and foreign satellites and satellite networks in orbit, conduct quantitative evaluation of satellite network coordination risk, and obtain a competitive frequency-orbit plan , Effectively improve the scientificity and efficiency of satellite network frequency track reporting and coordination. The system described in this embodiment is suitable for coordinated risk assessment of satellite networks in geostationary orbit, but is not limited to such satellites.

The quantitative evaluation system for satellite network coordination risk in this embodiment reorganizes the existing frequency track selection process, constructs a quantitative evaluation process, optimizes the evaluation process, makes full use of the experience of experts in multiple fields, tracks the evaluation process, and improves the risk evaluation. efficiency. Under normal circumstances, the evaluation model is tightly coupled with the business model. As long as any link changes, the entire evaluation system will not be able to operate normally. However, in the process of satellite network coordination, limited by the availability of basic data, the index items participating in the evaluation are not exactly the same each time, and the evaluation algorithms are also different. In this case, it is necessary to flexibly adjust the evaluation indicators and evaluation algorithms. In response to this problem, the system described in this embodiment reduces the coupling between the evaluation model and the business model by creating a flexible evaluation model of satellite network coordination risk; the system described in this embodiment aims at the quantitative calculation of evaluation indicators, combining basic data and The correlation of evaluation indicators and the correlation between individual index evaluation and overall evaluation (such as "one-vote veto" item), a quantitative evaluation algorithm for satellite network coordination risk, and a parallel processing process and evaluation index system for satellite network coordination risk The flexible characterization and quantitative evaluation calculation of satellite network coordination risk are built to build a quantitative evaluation system.

FIG. 5 shows a schematic diagram of the physical structure of an electronic device provided by an embodiment of the present invention. As shown in FIG. 5, the electronic device may include: a processor 11, a memory 12, a bus 13, and a A computer program running on the processor 11;

Wherein, the processor 11 and the memory 12 complete mutual communication through the bus 13;

When the processor 11 executes the computer program, it implements the methods provided in the above method embodiments, for example, including: receiving a frequency orbit assessment requirement input by a user, and generating a risk assessment task, and the risk assessment task includes: multiple groups of satellite networks Frequency track plan; obtain the basic data pre-stored in the database, the basic data includes: satellite application environment data and satellite network coordination environment data; according to the frequency track evaluation requirements, pre-screen the obtained basic data, and obtain participation evaluation the basic data; receive the external data input by the user according to the electromagnetic compatibility environment, so as to improve the basic data participating in the evaluation; receive the evaluation index system input by the user; according to the improved basic data participating in the evaluation and the evaluation index System, build a flexible evaluation model, calculate and evaluate each evaluation index with a dynamically configured flexible evaluation index system, obtain the evaluation values of each evaluation index and perform comprehensive calculations, and then obtain the overall evaluation result.

An embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the methods provided in the above-mentioned method embodiments are implemented, for example, including: receiving user-input frequency Orbit assessment needs, generate risk assessment tasks, the risk assessment tasks include: multiple groups of satellite network frequency orbit schemes; obtain the basic data pre-stored in the database, the basic data include: satellite application environment data and satellite network coordination environment data; According to the frequency track evaluation requirements, pre-screen the obtained basic data to obtain the basic data participating in the evaluation; receive external data input by the user according to the electromagnetic compatibility environment to improve the basic data participating in the evaluation; receive user input The configured evaluation index system; according to the improved basic data participating in the evaluation and the evaluation index system, build a flexible evaluation model, calculate and evaluate each evaluation index with the dynamically configured flexible evaluation index system, and obtain the value of each evaluation index The evaluation value is calculated comprehensively, and then the overall evaluation result is obtained.

Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems, or computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present application is described with reference to flowcharts and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus/system for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow diagram procedure or procedures and/or block diagram procedures or blocks.

It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is a relationship between these entities or operations. any such actual relationship or order exists between them. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element. The orientation or positional relationship indicated by the terms "upper", "lower", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must Having a particular orientation, being constructed and operating in a particular orientation, and therefore not to be construed as limiting the invention. Unless otherwise clearly specified and limited, the terms "installation", "connection" and "connection" should be interpreted in a broad sense, for example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection, It can also be an electrical connection; it can be a direct connection, or an indirect connection through an intermediary, or an internal communication between two components. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention according to specific situations.

In the description of the invention, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure the understanding of this description. Similarly, it should be appreciated that in the above description of exemplary embodiments of the invention, in order to streamline the present disclosure and to facilitate understanding of one or more of the various inventive aspects, various features of the invention are sometimes grouped together into a single embodiment , figure, or description of it. This method of disclosure, however, is not to be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the Detailed Description are hereby expressly incorporated into this Detailed Description, with each claim standing on its own as a separate embodiment of this invention. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention is not limited to any single aspect, nor to any single embodiment, nor to any combination and/or permutation of these aspects and/or embodiments. Furthermore, each aspect and/or embodiment of the invention may be used alone or in combination with one or more other aspects and/or embodiments thereof.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. All of them should be covered by the scope of the claims and description of the present invention.

Claims (10)

1. a kind of satellite network coordinates the quantitative evaluation method of risk, it is characterised in that including：

The frequency rail evaluation requirement of user's input is received, risk assessment task is generated, the risk assessment task includes：Multigroup satellite Network frequency rail scheme；

The basic data prestored in database is obtained, the basic data includes：Satellite application environmental data and satellite network Network coordinates environmental data；

According to the frequency rail evaluation requirement, the basic data to acquisition carries out prescreening, obtains the basic data for participating in assessing；

The external data that user inputs according to electromagnetic compatible environment is received, to have been carried out to the basic data for participating in assessing It is kind；

Receive the evaluation index system of user's input configuration；

The basic data assessed according to the participation after improving and the evaluation index system, build flexible assessment models, with dynamic The flexible evaluation index system of configuration carries out calculating assessment to every evaluation index, and the assessed value for obtaining every evaluation index is gone forward side by side Row COMPREHENSIVE CALCULATING, and then obtain net assessment result.

2. according to the method described in claim 1, it is characterised in that the parameter of the frequency rail evaluation requirement, including：Primary election rail Position, can allow segmental arc scope, adjusting step, coordinate arc, orbital exponent error, frequency range type, can allow band limits, take band Wide/just from frequency, link direction, polarization type, the area of coverage；

And/or,

The parameter of the satellite application environmental data, including：Satellite designation, state be attribute, when front rail position, when front rail position is entered the orbit Between, frequency range type, link direction, lower-frequency limit, upper frequency limit, polarization type, measured signal, the area of coverage, satellite purposes, whether Conventional rail position, launch time, projected life；

And/or,

The satellite network coordinates the parameter of environmental data, including：Satellite network title, attribute state, rail position, correlated state, Whether come into operation, frequency range type, link direction, lower-frequency limit, upper frequency limit, the area of coverage, earth station antenna least gain, pole Change type, whether wave beam is adjustable, network usage, in-orbit star corresponding, follow-up star plan.

3. according to the method described in claim 1, it is characterised in that after the net assessment result is obtained, methods described Also include：

According to the net assessment result, the sensitive factor of reverse search influence index assessment result obtains the sensitive factor The assessed value and basic data of corresponding evaluation index.

4. according to the method described in claim 1, it is characterised in that the basis improve after the basic data assessed of participation and The evaluation index system, builds flexible assessment models, with the flexible evaluation index system of dynamic configuration to every evaluation index Calculating assessment is carried out, the assessed value of every evaluation index is obtained and carries out COMPREHENSIVE CALCULATING, and then obtains net assessment result, is wrapped Include：

The basic data assessed according to the participation after improving and the evaluation index system, build flexible assessment models, with dynamic The flexible evaluation index system of configuration is calculated every evaluation index in addition to the related evaluation index of electromagnetic compatibility Assess, obtain the assessed value of every evaluation index and carry out COMPREHENSIVE CALCULATING, and then obtain assessment result first；

If receiving the selection instruction to secondary evaluation of user's input, the assessment result first according to is determined described complete The basic data of secondary evaluation is participated in the basic data dealt with problems arising from an accident, and based on the basic data of the participation secondary evaluation, with dynamic The flexible evaluation index system of state configuration is counted to all evaluation indexes including the related evaluation index of electromagnetic compatibility Calculate and assess, obtain the assessed value of all evaluation indexes and carry out COMPREHENSIVE CALCULATING, and then obtain net assessment result.

5. method according to claim 4, it is characterised in that the basis improve after the basic data assessed of participation and The evaluation index system, builds flexible assessment models, with the flexible evaluation index system of dynamic configuration to except electromagnetic compatibility Every evaluation index outside related evaluation index carries out calculating assessment, obtains the assessed value of every evaluation index, bag Include：

All nodes of the evaluation index system are traveled through, the evaluation index system is described using XML；If commenting first Estimate, then describe the flexible evaluation index system of dynamic construction, and the electricity in flexible evaluation index system described in dynamic configuration using XML The compatible related evaluation index of magnetic is not involved in assessing, except the evaluation index that electromagnetic compatibility is related in the flexible evaluation index system Outside evaluation index both participate in assessment；

Flexible evaluation index system after the basic data and this dynamic configuration assessed according to the participation after improving, using advance Appraisal procedure operator in the appraisal procedure Flexible Model about Ecology database of foundation, the weight for the basic data assessed with reference to this participation Proportioning, calculates the assessment for obtaining every leaf node evaluation index in the flexible evaluation index system that this participation is assessed Value, then utilizes the assessed value of every child node evaluation index in the flexible evaluation index system of this participation assessment, knot The weight proportioning of this every evaluation index for participating in assessing is closed, calculates and obtains this flexible evaluation index for participating in assessing The assessed value of every father node index item in system；

Correspondingly, if the selection instruction to secondary evaluation for receiving user's input, the assessment result first according to, The basic data of participation secondary evaluation in the basic data after described improve is determined, and based on the basis of the participation secondary evaluation All assessments including the related evaluation index of electromagnetic compatibility are referred to by data with the flexible evaluation index system of dynamic configuration Mark carries out calculating assessment, obtains the assessed value of all evaluation indexes, including：

If receiving the selection instruction to secondary evaluation of user's input, it is determined that be secondary evaluation, flexibility described in dynamic configuration All evaluation indexes that evaluation index system includes including the related evaluation index of electromagnetic compatibility both participate in assessment；

According to the assessment result first, determine to participate in the basic data of secondary evaluation in the basic data after described improve；

According to the flexible evaluation index system after the basic data and this dynamic configuration of the participation secondary evaluation, using advance Appraisal procedure operator in the appraisal procedure Flexible Model about Ecology database of foundation, the weight for the basic data assessed with reference to this participation Proportioning, calculates the assessment for obtaining every leaf node evaluation index in the flexible evaluation index system that this participation is assessed Value, then utilizes the assessed value of every child node evaluation index in the flexible evaluation index system of this participation assessment, knot The weight proportioning of this every evaluation index for participating in assessing is closed, calculates and obtains this flexible evaluation index for participating in assessing The assessed value of every father node evaluation index in system.

6. method according to claim 5, it is characterised in that the basic data that the participation after the basis is improved is assessed With the flexible evaluation index system after this dynamic configuration, commenting in the appraisal procedure Flexible Model about Ecology database pre-established is utilized Estimate method operator, with reference to the weight proportioning of this basic data for participating in assessment, calculate and obtain the described soft of this participation assessment Property evaluation index system in every leaf node evaluation index assessed value before, methods described also includes：

Appraisal procedure Flexible Model about Ecology database is set up, and default different value calculating methods of assessing are encapsulated into a dynamic respectively In chained library, respectively as an appraisal procedure operator in the appraisal procedure Flexible Model about Ecology database.

7. method according to claim 5, it is characterised in that described to utilize the appraisal procedure Flexible Model about Ecology number pre-established According to the appraisal procedure operator in storehouse, the weight proportioning for the basic data assessed with reference to this participation, calculating obtains this participation and commented The assessed value of every leaf node evaluation index in the flexible evaluation index system estimated, is then assessed using this participation The assessed value of every child node evaluation index in the flexible evaluation index system, every assess assessed with reference to this participation refers to Target weight is matched, and is calculated and is obtained every father node evaluation index in the flexible evaluation index system that this participation is assessed Assessed value, including：

For in the flexible evaluation index system to the contribution identical each single item leaf node evaluation index of metrics evaluation value：

The basic data assessed according to this participation, using the first formula, calculating obtains each single item leaf node evaluation index Assessed value；

Wherein, first formula is：

<mrow> <msub> <mi>v</mi> <msub> <mi>a</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> </msub> <mo>=</mo> <mfrac> <mn>1</mn> <mi>m</mi> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>l</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <msub> <mi>v</mi> <mi>l</mi> </msub> <mo>,</mo> <mn>1</mn> <mo>&lt;</mo> <mi>m</mi> <mo>&amp;le;</mo> <mi>s</mi> <mo>,</mo> </mrow>

a_i,jI-th layer of j-th of leaf node in the flexible evaluation index system is represented,For leaf node a_i,jAssessment refers to Target assessed value, m assesses leaf node a for participation_i,jBasic data bar number, s be all basic data bar numbers, v_lFor leaf Child node a_i,jThe evaluation of estimate of the l articles basic data in evaluation process；

Assess and refer to for the different each single item leaf node of the contribution to metrics evaluation value in the flexible evaluation index system Mark：

The basic data assessed according to this participation, using the second formula, calculating obtains each single item leaf node evaluation index Assessed value；

Wherein, second formula is：

<mrow> <msub> <mi>v</mi> <msub> <mi>a</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> </msub> <mo>=</mo> <mfrac> <mrow> <msubsup> <mi>&amp;Sigma;</mi> <mrow> <mi>l</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </msubsup> <msub> <mi>v</mi> <mi>l</mi> </msub> <mo>&amp;times;</mo> <msub> <mi>w</mi> <mi>l</mi> </msub> </mrow> <mrow> <msubsup> <mi>&amp;Sigma;</mi> <mrow> <mi>l</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </msubsup> <msub> <mi>w</mi> <mi>l</mi> </msub> </mrow> </mfrac> <mo>,</mo> <mn>1</mn> <mo>&lt;</mo> <mi>m</mi> <mo>&amp;le;</mo> <mi>s</mi> <mo>,</mo> </mrow>

a_i,jI-th layer of j-th of leaf node in the flexible evaluation index system is represented,For leaf node a_i,jAssessment refers to Target assessed value, m assesses leaf node a for participation_i,jBasic data bar number, s be all basic data bar numbers, v_lFor leaf Child node a_i,jThe evaluation of estimate of the l articles basic data in evaluation process, w_lTo participate in assessing leaf node a_i,jThe l articles basic number According to weight proportioning；

For each single item non-leaf nodes evaluation index in the flexible evaluation index system：

According to the child node evaluation index of each single item non-leaf nodes evaluation index relative to the non-leaf nodes evaluation index Significance level, construction participates in assessing the comparator matrix two-by-two of all evaluation indexes of the non-leaf nodes evaluation index；According to institute Comparator matrix two-by-two is stated, using analytic hierarchy process (AHP), the power of the child node evaluation index of the non-leaf nodes evaluation index is calculated Weight；

For each single item leaf node evaluation index in the flexible evaluation index system：

According to the basic data for participating in assessing, using the 3rd formula, the assessment for obtaining each single item leaf node evaluation index is calculated Value；

Wherein, the 3rd formula is：

<mrow> <msub> <mi>v</mi> <msub> <mi>a</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> </msub> <mo>=</mo> <mi>f</mi> <mrow> <mo>(</mo> <mi>D</mi> <mo>,</mo> <msub> <mi>D</mi> <mrow> <mi>i</mi> <mi>n</mi> <mi>p</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> <mo>)</mo> </mrow> <mo>,</mo> </mrow>

a_i,jI-th layer of j-th of leaf node in the flexible evaluation index system is represented,For leaf node a_i,jAssessment refers to Target assessed value；D_inputFor the frequency rail scheme in the risk assessment task of generation；D assesses leaf node a for participation_i,jAssessment refers to The multigroup basic data of target, is the matrix of s × 1；F () is to be encapsulated using in the appraisal procedure Flexible Model about Ecology database pre-established The preassigned assessment value calculating method of value type institute according to evaluation index in operator, by comparing D and D_inputMeter Calculate and obtain the index entry value of each single item leaf node evaluation index, then the index entry value is normalized obtains each The assessed value of item leaf node evaluation index；

For each single item non-leaf nodes evaluation index in the flexible evaluation index system：

According to the basic data for participating in assessing, using the 4th formula, step-by-step recursion, calculates and obtains as root node from bottom to top The assessed value of each single item non-leaf nodes evaluation index；

Wherein, the 4th formula is：

<mrow> <msub> <mi>v</mi> <msub> <mi>a</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> </msub> <mo>=</mo> <munderover> <mo>&amp;Pi;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>&amp;sigma;</mi> <msub> <mi>a</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> <mo>,</mo> <mi>k</mi> </mrow> </msub> </msub> <mo>&amp;lsqb;</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <mrow> <mo>(</mo> <msub> <mi>v</mi> <msub> <mi>a</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> </msub> <mo>&amp;times;</mo> <msub> <mi>w</mi> <msub> <mi>a</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> </msub> <mo>)</mo> </mrow> <mo>/</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>w</mi> <msub> <mi>a</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> <mo>,</mo> <mi>k</mi> </mrow> </msub> </msub> <mo>&amp;rsqb;</mo> <mo>,</mo> <mn>0</mn> <mo>&lt;</mo> <mi>n</mi> <mo>&amp;le;</mo> <mi>N</mi> <mo>,</mo> </mrow>

a_i,jI-th layer of j-th of non-leaf nodes in the flexible evaluation index system is represented,For non-leaf nodes a_i,jComment Estimate the assessed value of index；a_i+1,kFor non-leaf nodes a_i,jChild node, k is participates in assessing non-leaf nodes a_i,jChild node Numbering, k=1 ..., n, n assess non-leaf nodes a for participation_i,jChild node number, N be non-leaf nodes a_i,jChild node Number；For non-leaf nodes a_i,jChild node a_i+1,kAssessed value；For non-leaf nodes a_i,jChild node a_i+1,kWeight proportioning；Multiply sex factor, child node a for veto by one vote_i+1,kWhen meeting veto by one vote condition,For 0, otherwiseFor 1.

8. a kind of satellite network coordinates the quantitative evaluation system of risk, it is characterised in that including：

Input module, the frequency rail evaluation requirement for receiving user's input, generates risk assessment task, the risk assessment task Including：Multigroup satellite network frequency rail scheme；

Data acquisition module, the basic data prestored for obtaining in database, according to the frequency rail evaluation requirement, to obtaining The basic data taken carries out prescreening, obtains the basic data for participating in assessing, and the basic data includes：Satellite application environment number Coordinate environmental data according to satellite network；

The input module, is additionally operable to receive the external data that user inputs according to electromagnetic compatible environment, to comment the participation The basic data progress estimated is perfect, and receives the evaluation index system of user's input configuration；

Evaluation module, basic data and the evaluation index system that the participation after being improved for basis is assessed, builds flexibility and comments Estimate model, calculating assessment is carried out to every evaluation index with the flexible evaluation index system of dynamic configuration, obtain every assess and refer to Target assessed value simultaneously carries out COMPREHENSIVE CALCULATING, and then obtain net assessment result.

9. system according to claim 8, it is characterised in that the system also includes：

Reverse search module, for according to the net assessment result, the sensitive factor of reverse search influence index assessment result, Obtain the assessed value and basic data of the evaluation index corresponding to the sensitive factor.

10. system according to claim 8, it is characterised in that the evaluation module, specifically for

The basic data assessed according to the participation after improving and the evaluation index system, build flexible assessment models, with dynamic The flexible evaluation index system of configuration is calculated every evaluation index in addition to the related evaluation index of electromagnetic compatibility Assess, obtain the assessed value of every evaluation index and carry out COMPREHENSIVE CALCULATING, and then obtain assessment result first；

If receiving the selection instruction to secondary evaluation of user's input, the assessment result first according to is determined described complete The basic data of secondary evaluation is participated in the basic data dealt with problems arising from an accident, and based on the basic data of the participation secondary evaluation, with dynamic The flexible evaluation index system of state configuration is counted to all evaluation indexes including the related evaluation index of electromagnetic compatibility Calculate and assess, obtain the assessed value of all evaluation indexes and carry out COMPREHENSIVE CALCULATING, and then obtain net assessment result.